nasa_cmr_catalog.tsv

id	title	catalog	state_date	end_date	bbox	url	description	license
0f4324af-fa0a-4aaf-9b97-89a4f3325ce1	DESIS - Hyperspectral Images - Global	FEDEO	2018-08-30		-180, -52, 180, 52	https://cmr.earthdata.nasa.gov/search/concepts/C2207458058-FEDEO.json	The hyperspectral instrument DESIS (DLR Earth Sensing Imaging Spectrometer) is one of four possible payloads of MUSES (Multi-User System for Earth Sensing), which is mounted on the International Space Station (ISS). DLR developed and delivered a Visual/Near-Infrared Imaging Spectrometer to Teledyne Brown Engineering, which was responsible for integrating the instrument. Teledyne Brown designed and constructed, integrated and tested the platform before delivered to NASA. Teledyne Brown collaborates with DLR in several areas, including basic and applied research for use of data. DESIS is operated in the wavelength range from visible through the near infrared and enables precise data acquisition from Earth's surface for applications including fire-detection, change detection, maritime domain awareness, and atmospheric research. Three product types can be ordered, which are Level 1B (systematic and radiometric corrected), Level 1C (geometrically corrected) and Level 2A (atmospherically corrected). The spatial resolution is about 30m on ground. DESIS is sensitive between 400nm and 1000nm with a spectral resolution of about 3.3nm. DESIS data are delivered in tiles of about 30x30km. For more information concerning DESIS the reader is referred to https://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-13614/	not-provided
11c5f6df1abc41968d0b28fe36393c9d	ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 3 aerosol products from MERIS (ALAMO algorithm), Version 2.2	FEDEO	2008-01-01	2008-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548143004-FEDEO.json	The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol daily and monthly gridded products from MERIS for 2008, using the ALAMO algorithm, version 2.2.   The data have been provided by Hygeos.For further details about these data products please see the linked documentation.	not-provided
12-hourly_interpolated_surface_position_from_buoys	12-Hourly Interpolated Surface Position from Buoys	SCIOPS	1979-01-01	2009-12-01	-180, 60, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1214600619-SCIOPS.json	This data set contains Arctic Ocean daily buoy positions interpolated to hours 0Z and 12Z.	not-provided
12-hourly_interpolated_surface_velocity_from_buoys	12-Hourly Interpolated Surface Velocity from Buoys	SCIOPS	1979-01-01	2009-12-02	-180, 74, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1214600621-SCIOPS.json	This data set contains 12-hourly interpolated surface velocity data from buoys. Point grid: Latitude 74N to 90N - 4 degree increment Longitude 0E to 320E - 20 and 40 degree increment.	not-provided
12_hourly_interpolated_surface_air_pressure_from_buoys	12 Hourly Interpolated Surface Air Pressure from Buoys	SCIOPS	1979-01-01	2007-11-30	-180, 70, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1214600618-SCIOPS.json	Optimally interpolated atmospheric surface pressure over the Arctic Ocean Basin. Temporal format - twice daily (0Z and 12Z) Spatial format - 2 degree latitude x 10 degree longitude - latitude: 70 N - 90 N - longitude: 0 E - 350 E	not-provided
14c_of_soil_co2_from_ipy_itex_cross_site_comparison	14C of soil CO2 from IPY ITEX Cross Site Comparison	SCIOPS	2008-01-16	2008-01-21	-157.4, -36.9, 147.29, 71.3	https://cmr.earthdata.nasa.gov/search/concepts/C1214602443-SCIOPS.json	Study sites: Toolik Lake Field Station Alaska, USA 68.63 N, 149.57 W; Atqasuk, Alaska USA 70.45 N, 157.40 W; Barrow, Alaska, USA 71.30 N, 156.67 W; Latnjajaure, Sweden 68.35 N, 18.50 E; Falls Creek, Australia: Site 2-unburned 36.90 S 147.29 E; Site 3-burned 36.89 S 147.28 E. Additional sites will be added summer 2008, but the exact sites are not finalized. Purpose: Collect soil CO2 for analysis of radiocarbon to evaluate the age of the carbon respired in controls and warmed plots from across the ITEX network.  Treatments: control and ITEX OTC warming experiment (1994-2007). Design: 5 replicates of each treatment at dry site and moist site. Sampling frequency: Once per peak season.	not-provided
200708_CEAMARC_CASO_TRACE_ELEMENT_SAMPLES.v1	2007-08 CEAMARC-CASO VOYAGE TRACE ELEMENT SAMPLING AROUND AN ICEBERG	AU_AADC	2008-01-01	2008-03-20	139.01488, -67.07104, 150.06479, -42.88246	https://cmr.earthdata.nasa.gov/search/concepts/C1214305618-AU_AADC.json	We collected surface seawater samples using trace clean 1L Nalgene bottles on the end of a long bamboo pole.   We will analyse these samples for trace elements.  Iron is the element of highest interest to our group.  We will determine dissolved iron and total dissolvable iron concentrations.    Samples collected from 7 sites:   Sites 1, 2, 3, 4 were a transect perpendicular to the edge of the iceberg to try and determine if there is a iron concentration gradient relative to the iceberg.   Sites 4, 5, 6 were along the edge of the iceberg to determine if there is any spatial variability along the iceberg edge.  Site 7 was away from the iceberg to determine what the iron concentration is in the surrounding waters not influenced by the iceberg.	not-provided
2019 Mali CropType Training Data.v1	2019 Mali CropType Training Data	MLHUB	2020-01-01	2023-01-01	-6.9444015, 12.8185552, -6.5890481, 13.3734391	https://cmr.earthdata.nasa.gov/search/concepts/C2781412344-MLHUB.json	 This dataset produced by the NASA Harvest team includes crop types labels from ground referencing matched with time-series of Sentinel-2 imagery during the growing season. Ground reference data are collected using an ODK app. Crop types include Maize, Millet, Rice and Sorghum. Labels are vectorized over the Sentinel-2 grid, and provided as raster files. Funding for this dataset is provided by Lutheran World Relief, Bill & Melinda Gates Foundation, and University of Maryland NASA Harvest program.	not-provided
39480	1988 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve	NOAA_NCEI	1988-11-24	1988-11-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656753-NOAA_NCEI.json	Aerial photographs taken by NOAA's National Geodetic Survey during 1988 were mosaicked and orthorectified by the Biogeography Branch.   The resulting image was used to digitize benthic, land cover and mangrove habitat maps of the Salt River Bay National Historic Park and Ecological Preserve (National Park Service), on St. Croix, in the U.S. Virgin Islands.The mosaic is centered on the National Park Service Site, located on the north central coast of St. Croix, and extends beyond the park boundaries approximately 0.5 - 4.0 km.	not-provided
39481	1988 Seagrass and Mangrove Habitats of the Salt River Bay National Historical Park and Ecological Preserve	NOAA_NCEI	1988-11-24	1988-11-24	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656462-NOAA_NCEI.json	Habitat maps were created as part of a larger ecological assessment conducted by NOAA's National Ocean Service (NOS), Biogeography Branch, for Salt River Bay National Historic Park and Ecological Preserve (National Park Service).Aerial photographs were obtained for 1988 from the National Geodetic Survey, and were orthorectified by the Biogeography Branch.  A classification scheme was set up with 20 benthic habitat types, 19 land cover types, and 13 mangrove habitat types.  For this map of seagrass and mangrove habitats during 1988 only the 3 seagrass, and 14 mangrove classification categories were used.  These were mapped directly into a GIS system through visual interpretation of orthorectified aerial photographs.	not-provided
39482	1992 Mosaic of Aerial Photography of the Salt River Bay National Historical Park and Ecological Preserve	NOAA_NCEI	1992-01-31	1992-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656472-NOAA_NCEI.json	Aerial photographs taken by NOAA's National Geodetic Survey during 1992 were mosaicked and orthorectified by the Biogeography Branch. The resulting image was used to digitize benthic, land cover and mangrove habitat maps of the Salt River Bay National Historic Park and Ecological Preserve (National Park Service), on St. Croix, in the U.S. Virgin Islands.The mosaic is centered on the National Park Service Site, located on the north central coast of St. Croix, and in some areas extends beyond the park boundaries up to 2 km.	not-provided
39483	1992 Seagrass and Mangrove Habitats of the Salt River Bay National Historical Park and Ecological Preserve	NOAA_NCEI	1992-01-31	1992-01-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656483-NOAA_NCEI.json	Habitat maps were created as part of a larger ecological assessment conducted by NOAA's National Ocean Service (NOS), Biogeography Branch, for Salt River Bay National Historic Park and Ecological Preserve (National Park Service).Aerial photographs were obtained for 1992 from the National Geodetic Survey, and were orthorectified by the Biogeography Branch.  A classification scheme was set up with 20 benthic habitat types, 19 land cover types, and 13 mangrove habitat types.  For this map of seagrass and mangrove habitats during 1992 only the 3 seagrass, and 14 mangrove classification categories were used.  These were mapped directly into a GIS system through visual interpretation of orthorectified aerial photographs.	not-provided
39556	1993 Average Monthly Sea Surface Temperature for California	NOAA_NCEI	1993-01-01	1993-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656641-NOAA_NCEI.json	The NOAA/NASA AVHRR Oceans Pathfinder sea surface temperature data are derived from the 5-channel Advanced Very High Resolution Radiometers (AVHRR) on board the NOAA -7, -9, -11, -14, -16 and -17 polar orbiting satellites. Daily, 8-day and monthly averaged data for both the ascending pass (daytime) and descending pass (nighttime) are available on equal-angle grids of 8192 pixels/360 degrees (nominally referred to as the 4km resolution, 4096 pixels/360 degrees (nominally referred to as the 9km resolution), 2048 pixels/360 degrees (nominally referred to as the 18km resolution), and 720 pixels/360 degrees (nominally referred to as the 54km resolution or 0.5 degree resolution).The monthly averaged daytime data was converted to an ESRI GRID format and the 12 monthly grid files were combined into one annual grid with a attribute field for each month.	not-provided
39557	1994 Average Monthly Sea Surface Temperature for California	NOAA_NCEI	1994-01-01	1994-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656671-NOAA_NCEI.json	The NOAA/ NASA AVHRR Oceans Pathfinder sea surface temperature data are derived from the 5-channel Advanced Very High Resolution Radiometers (AVHRR) on board the NOAA -7, -9, -11, -14, -16 and -17 polar orbiting satellites. Daily, 8-day and monthly averaged data for both the ascending pass (daytime) and descending pass (nighttime) are available on equal-angle grids of 8192 pixels/360 degrees (nominally referred to as the 4km resolution, 4096 pixels/360 degrees (nominally referred to as the 9km resolution), 2048 pixels/360 degrees (nominally referred to as the 18km resolution), and 720 pixels/360 degrees (nominally referred to as the 54km resolution or 0.5 degree resolution).The monthly averaged daytime data was converted to an ESRI GRID format and the 12 monthly grid files were combined into one annual grid with a attribute field for each month.	not-provided
39558	1995 Average Monthly Sea Surface Temperature for California	NOAA_NCEI	1995-01-01	1995-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2102656698-NOAA_NCEI.json	The NOAA/ NASA AVHRR Oceans Pathfinder sea surface temperature data are derived from the 5-channel Advanced Very High Resolution Radiometers (AVHRR) on board the NOAA -7, -9, -11, -14, -16 and -17 polar orbiting satellites. Daily, 8-day and monthly averaged data for both the ascending pass (daytime) and descending pass (nighttime) are available on equal-angle grids of 8192 pixels/360 degrees (nominally referred to as the 4km resolution, 4096 pixels/360 degrees (nominally referred to as the 9km resolution), 2048 pixels/360 degrees (nominally referred to as the 18km resolution), and 720 pixels/360 degrees (nominally referred to as the 54km resolution or 0.5 degree resolution).The monthly averaged daytime data was converted to an ESRI GRID format and the 12 monthly grid files were combined into one annual grid with a attribute field for each month.	not-provided
3DIMG_L1B_STD	INSAT-3D Imager Level-1B Full Acquisition Standard Product	ISRO	2013-10-01		0.843296, -81.04153, 163.15671, 81.04153	https://cmr.earthdata.nasa.gov/search/concepts/C1231649308-ISRO.json	INSAT-3D Imager Level-1B Standard Product containing 6 channels data in HDF-5 Format	not-provided
3DIMG_L1C_SGP	INSAT-3D Imager Level-1C Sector Product	ISRO	2013-10-01		20, -50, 130, 50	https://cmr.earthdata.nasa.gov/search/concepts/C1214622563-ISRO.json	INSAT-3D Imager Level-1C Sector Product (Geocoded, all pixels at same resolution) contains 6 channels data in HDF-5 Format	not-provided
3DIMG_L2B_CMK	INSAT-3D Imager Level-2B Cloud Map	ISRO	2013-10-01		0.843296, -81.04153, 163.15671, 81.04153	https://cmr.earthdata.nasa.gov/search/concepts/C1214622564-ISRO.json	INSAT-3D Imager Level-2B Cloud Map Product in HDF-5 Format	not-provided
3DIMG_L2B_HEM	INSAT-3D Imager Level-2B Precipitation Using Hydroestimator Technique	ISRO	2013-10-01		0.843296, -81.04153, 163.15671, 81.04153	https://cmr.earthdata.nasa.gov/search/concepts/C1214622538-ISRO.json	INSAT-3D Imager Level-2B Precipitation using Hydroestimator Technique in HDF-5 Format	not-provided
3DIMG_L2B_OLR	INSAT-3D Imager Level-2B Outgoing Longwave Radiation	ISRO	2013-10-01		0.843296, -81.04153, 163.15671, 81.04153	https://cmr.earthdata.nasa.gov/search/concepts/C1214622556-ISRO.json	INSAT-3D Imager Level-2B Outgoing Longwave Radation (OLR) in HDF-5 Format	not-provided
3fe263d2-99ed-4751-b937-d26a31ab0606	AVHRR - Vegetation Index (NDVI) - Europe	FEDEO	1994-07-01		-24, 28, 57, 78	https://cmr.earthdata.nasa.gov/search/concepts/C2207458021-FEDEO.json	"Every day, three successive NOAA-AVHRR scenes are used to derive a synthesis product in stereographic projection known as the ""Normalized Difference Vegetation Index"" for Europe and North Africa. It is calculated by dividing the difference in technical albedos between measurements in the near infrared and visible red part of the spectrum by the sum of both measurements. This value provides important information about the ""greenness"" and density of vegetation. Weekly and monthly thematic synthesis products are also derived from this daily operational product, at each step becoming successively free of clouds. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/"	not-provided
7ae5a791-b667-4838-9733-a44e4cf2d715	Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Stereographic	FEDEO	2007-01-05		-25, 30, 45, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2207458042-FEDEO.json	Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing.	not-provided
802569b8-fb56-4d78-a2e8-3e4549ff475b	AVHRR - Sea Surface Temperature (SST) - Europe	FEDEO	1994-08-01		-35, 47.5, 51, 73	https://cmr.earthdata.nasa.gov/search/concepts/C2207458053-FEDEO.json	The AVHRR Mulitchannel Sea Surface Temperature Map (MCSST) was the first result of DLR's AVHRR pathfinder activities. The goal of the product is to provide the user with actual Sea Surface Temperature (SST) maps in a defined format easy to access with the highest possible reliability on the thematic quality. After a phase of definition, the operational production chain was launched in March 1993 covering the entire Mediterranean Sea and the Black Sea. Since then, daily, weekly, and monthly data sets have been available until September 13, 1994, when the AVHRR on board the NOAA-11 spacecraft failed. The production of daily, weekly and monthly SST maps was resumed in February, 1995, based on NOAA-14 AVHRR data. The NOAA-14 AVHRR sensor became some technical difficulties, so the generation was stopped on October 3, 2001. Since March 2002, NOAA-16 AVHRR SST maps are available again. With the beginning of January 2004, the data of AVHRR on board of NOAA-16 exhibited some anormal features showing strips in the scenes. Facing the “bar coded” images of NOAA16-AVHRR which occurred first in September 2003, continued in January 2004 for the second time and appeared in April 2004 again, DFD has decided to stop the reception of NOAA16 data on April 6th, 2004, and to start the reception of NOAA-17 data on this day. On April 7th, 2004, the production of all former NOAA16-AVHRR products as e.g. the SST composites was successully established. NOAA-17 is an AM sensor which passes central Europe about 2 hours earlier than NOAA-16 (about 10:00 UTC instead of 12:00 UTC for NOAA-16). In spring 2007, the communication system of NOAA-17 has degraded or is operating with limitations. Therefore, DFD has decided to shift the production of higher level products (NDVI, LST and SST) from NOAA-17 to NOAA-18 in April 2007. In order to test the performance of our processing chains, we processed simultaneously all NOAA-17 and NOAA-18 data from January 1st, 2007 till March 29th, 2007. All products are be available via EOWEB. Please remember that NOAA-18 is a PM sensor which passes central Europe about 1.5 hours later than NOAA-17 (about 11:30 UTC instead of 10:00 UTC for NOAA17). The SST product is intended for climate modelers, oceanographers, and all geo science-related disciplines dealing with ocean surface parameters. In addition, SST maps covering the North Atlantic, the Baltic Sea, the North Sea and the Western Atlantic equivalent to the Mediterranean MCSST maps are available since August 1994. The most important aspects of the MCSST maps are a) correct image registration and b) reasonable cloud screening to ensure that only cloud free pixels are taken for the later processing and compositing c) for deriving MCSST, only channel 4 and 5 are used.. The SST product consists of one 8 bit channel. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/	not-provided
936b319d-5253-425d-bd29-4b6ebce067ff	AVHRR - Land Surface Temperature (LST) - Europe, Nighttime	FEDEO	1998-02-23		-24, 28, 57, 78	https://cmr.earthdata.nasa.gov/search/concepts/C2207458046-FEDEO.json	"The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/"	not-provided
A Fusion Dataset for Crop Type Classification in Germany.v1	A Fusion Dataset for Crop Type Classification in Germany	MLHUB	2020-01-01	2023-01-01	13.6339485, 52.4179888, 14.3529903, 52.8494418	https://cmr.earthdata.nasa.gov/search/concepts/C2781412484-MLHUB.json	 This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Brandenburg, Germany. There are nine crop types in this dataset from years 2018 and 2019: Wheat, Rye, Barley, Oats, Corn, Oil Seeds, Root Crops, Meadows, Forage Crops. The 2018 labels from one of the tiles are provided for training, and the 2019 labels from a neighboring tile will be used for scoring in the competition.   Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection.   The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license.  	not-provided
A Fusion Dataset for Crop Type Classification in Western Cape, South Africa.v1	A Fusion Dataset for Crop Type Classification in Western Cape, South Africa	MLHUB	2020-01-01	2023-01-01	20.5212157, -34.413256, 21.043415, -33.9796334	https://cmr.earthdata.nasa.gov/search/concepts/C2781412697-MLHUB.json	 This dataset contains ground reference crop type labels and multispectral and synthetic aperture radar (SAR) imagery from multiple satellites in an area located in Western Cape, South Africa. There are five crop types from the year 2017: Wheat, Barely, Canola, Lucerne/Medics, Small grain grazing. The AOI is split to three tiles. Two tiles are provided as training labels, and one tile will be used for scoring in the competition.   Input imagery consist of time series of Sentinel-2, Sentinel-1 and Planet Fusion (daily and 5-day composite) data. You can access each source from a different collection.   The Planet fusion data are made available under a CC-BY-SA license. As an exception to the AI4EO Terms and Conditions published on the competition website, you confirm, by participating in it, that you agree that your results will be made public under the same, open-source license.   The Western Cape Department of Agriculture (WCDoA) vector data are supplied via Radiant Earth Foundation with limited distribution rights. Data supplied by the WCDoA may not be distributed further or used for commercial purposes. The vector data supplied are intended strictly for use within the scope of this remote sensing competition - for the purpose of academic research to our mutual benefit. The data is intended for research purposes only and the WCDoA cannot be held responsible for any errors or omissions which may occur in the data. 	not-provided
A crop type dataset for consistent land cover classification in Central Asia.v1	A crop type dataset for consistent land cover classification in Central Asia	MLHUB	2020-01-01	2023-01-01	60.2013297, 37.4241018, 72.3539419, 41.8252151	https://cmr.earthdata.nasa.gov/search/concepts/C2781412666-MLHUB.json	Land cover is a key variable in the context of climate change. In particular, crop type information is essential to understand the spatial distribution of water usage and anticipate the risk of water scarcity and the consequent danger of food insecurity. This applies to arid regions such as the Aral Sea Basin (ASB), Central Asia, where agriculture relies heavily on irrigation. Here, remote sensing is valuable to map crop types, but its quality depends on consistent ground-truth data. Yet, in the ASB, such data is missing. Addressing this issue, we collected thousands of polygons on crop types, 97.7% of which in Uzbekistan and the remaining in Tajikistan. We collected 8,196 samples between 2015 and 2018, 213 in 2011 and 26 in 2008. Our data compiles samples for 40 crop types and is dominated by “cotton” (40%) and “wheat”, (25%). These data were meticulously validated using expert knowledge and remote sensing data and relied on transferable, open-source workflows that will assure the consistency of future sampling campaigns.	not-provided
AAOT.v0	Acqua Alta Oceanographic Tower (AAOT)	OB_DAAC	1999-08-03		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360084-OB_DAAC.json	Measurements made by the Acqua Alta Oceanographic Tower (AAOT), an Italian installation off the coast of Venice in the Adriatic Sea from 1999 to 2002.	not-provided
AAS_4156_Macquarie_Island_Emerald_Lake.v1	12,000 year record of sea spray and minerogenic input from Emerald Lake, Macquarie Island	AU_AADC	2012-07-01	2019-06-30	158.77441, -54.77772, 158.94951, -54.4828	https://cmr.earthdata.nasa.gov/search/concepts/C2102891784-AU_AADC.json	Reconstructed sea spray and minerogenic data for a 12,000 year lake sediment record from Emerald Lake, Macquarie Island. Proxies are based on biological (diatoms) and geochemical (micro x-ray fluorescence and hyperspectral imaging) indicators. Data correspond to the figures in: Saunders et al. 2018 Holocene dynamics of the Southern Hemisphere westerly winds and possible links to CO2 outgassing. Nature Geoscience 11:650-655. doi.org/10.1038/s41561-018-0186-5. Detailed supplementary information: https://static-content.springer.com/esm/art%3A10.1038%2Fs41561-018-0186-5/MediaObjects/41561_2018_186_MOESM1_ESM.pdf  Abstract: The Southern Hemisphere westerly winds (SHW) play an important role in regulating the capacity of the Southern Ocean carbon sink. They modulate upwelling of carbon-rich deep water and, with sea ice, determine the ocean surface area available for air–sea gas exchange. Some models indicate that the current strengthening and poleward shift of these winds will weaken the carbon sink. If correct, centennial- to millennial-scale reconstructions of the SHW intensity should be linked with past changes in atmospheric CO2, temperature and sea ice. Here we present a 12,300-year reconstruction of wind strength based on three independent proxies that track inputs of sea-salt aerosols and minerogenic particles accumulating in lake sediments on sub-Antarctic Macquarie Island. Between about 12.1 thousand years ago (ka) and 11.2 ka, and since about 7 ka, the wind intensities were above their long-term mean and corresponded with increasing atmospheric CO2. Conversely, from about 11.2 to 7.2 ka, the wind intensities were below their long-term mean and corresponded with decreasing atmospheric CO2. These observations are consistent with model inferences of enhanced SHW contributing to the long-term outgassing of CO2 from the Southern Ocean.	not-provided
AAS_4156_Macquarie_Island_unnamed_lake.v1	2000 year record of environmental change from an unnamed lake on Macquarie Island	AU_AADC	2012-07-01	2019-06-30	158.74969, -54.78485, 158.96118, -54.47004	https://cmr.earthdata.nasa.gov/search/concepts/C2102891849-AU_AADC.json	Age-depth and geochemical data for a 2000 year lake sediment record from an unnamed lake on Macquarie Island. The lake is the small lake to the west of Major Lake, on the edge of the Macquarie Island plateau. The chronology is based on lead-210 (last ca. 100 years) and radiocarbon (extending to ca. 2000 years). Geochemistry is based on micro x-ray fluroescence, and carbon, nitrogen and sulphur contents. Grain size and water content were also measured.  Data correspond to the publication: Saunders et al. in prep.Southern Hemisphere westerly wind variability in the sub-Antarctic and relationships to mid-latitude precipitation for the last 2000 years	not-provided
ABLVIS1B.v1	ABoVE LVIS L1B Geolocated Return Energy Waveforms V001	NSIDC_ECS	2017-06-29	2017-07-17	-158, 48, -104, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1513105920-NSIDC_ECS.json	This data set contains return energy waveform data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).	not-provided
ABLVIS2.v1	ABoVE LVIS L2 Geolocated Surface Elevation Product V001	NSIDC_ECS	2017-06-29	2017-07-17	-158, 48, -104, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1513105984-NSIDC_ECS.json	This data set contains surface elevation data over Alaska and Western Canada measured by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).	not-provided
ABOLVIS1A.v1	ABoVE LVIS L1A Geotagged Images V001	NSIDC_ECS	2017-06-29	2017-07-17	-158, 48, -104, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1673546369-NSIDC_ECS.json	This data set contains geotagged images collected over Alaska and Western Canada. The images were taken by the NASA Digital Mapping Camera, paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of NASA's Terrestrial Ecology Program campaign, the Arctic-Boreal Vulnerability Experiment (ABoVE).	not-provided
ABoVE_Concise_Experiment_Plan_1617.v1.1	A Concise Experiment Plan for the Arctic-Boreal Vulnerability Experiment	ORNL_CLOUD	2014-01-01	2021-12-31	-176.12, 39.42, -66.92, 81.61	https://cmr.earthdata.nasa.gov/search/concepts/C2162145735-ORNL_CLOUD.json	This document presents the Concise Experiment Plan for NASA's Arctic-Boreal Vulnerability Experiment (ABoVE) to serve as a guide to the Program as it identifies the research to be conducted under this study. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite remote sensing, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications. The ABoVE Concise Experiment Plan (ACEP) outlines the conceptual basis for the Field Campaign and expresses the compelling rationale explaining the scientific and societal importance of the study. It presents both the science questions driving ABoVE research as well as the top-level requirements for a study design to address them.	not-provided
ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data.v1	ACCLIP WB-57 Aerosol and Cloud Remotely Sensed Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2655162569-LARC_ASDC.json	ACCLIP_AerosolCloud_AircraftRemoteSensing_WB57_Data is the cloud and aerosol remote sensing data from the Roscoe lidar collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate. The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_Aerosol_AircraftInSitu_WB57_Data.v1	ACCLIP WB-57 Aircraft In-Situ Aerosol Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2609962127-LARC_ASDC.json	ACCLIP_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Particle Analysis by Laser Mass Spectrometry - Next Generation (PALMS-NG), Single Particle Soot Photometer (SP2), Nucleation-Mode Aerosol Size Spectrometer (N-MASS), Printed Optical Particle Spectrometer (POPS), and the Ultra-High Sensitivity Aerosol Spectrometer (UHSAS) is featured in this collection. Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_AircraftInSitu_WB57_Water_Data.v1	ACCLIP WB-57 Aircraft Water In-situ Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2609920136-LARC_ASDC.json	ACCLIP_AircraftInSitu_WB57_Water_Data is the in-situ water data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Chicago Water Isotope Spectrometer  (ChiWIS) is featured in this collection. Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_Cloud_AircraftInSitu_WB57_Data.v1	ACCLIP WB-57 Aircraft In-situ Cloud Data	LARC_ASDC	2022-07-14	2022-09-15	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2609947245-LARC_ASDC.json	ACCLIP_Cloud_AircraftInSitu_WB57_Data is the in-situ cloud data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Cloud, Aerosol, and Precipitation Spectrometer (CAPS) is featured in this collection. Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_Merge_WB57-Aircraft_Data.v1	ACCLIP WB-57 Aircraft Merge Data	LARC_ASDC	2022-07-16	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2609887645-LARC_ASDC.json	ACCLIP_Merge_WB57-Aircraft_Data is the pre-generated merge files created from a variety of in-situ instrumentation collecting measurements onboard the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_MetNav_AircraftInSitu_WB57_Data.v1	ACCLIP WB-57 Meteorological and Navigational Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2566338281-LARC_ASDC.json	ACCLIP_MetNav_AircraftInSitu_WB57_Data is the in-situ meteorology and navigational data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Meteorological Measurement System (MMS) and Diode Laser Hygrometer (DLH) is featured in this collection. Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_Model_WB57_Data.v1	ACCLIP WB-57 Aircraft Model Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2609869612-LARC_ASDC.json	ACCLIP_Model_WB57_Data contains modeled meteorological, chemical, and aerosol data along the flight tracks of the WB-57 aircraft during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACCLIP_TraceGas_AircraftInSitu_WB57_Data.v1	ACCLIP WB-57 Aircraft In-situ Trace Gas Data	LARC_ASDC	2022-07-14	2022-09-14	-180, 16.6, 180, 61.5	https://cmr.earthdata.nasa.gov/search/concepts/C2566342407-LARC_ASDC.json	ACCLIP_TraceGas_AircraftInSitu_WB57_Data is the in-situ trace gas data collection during the Asian Summer Monsoon Chemical & Climate Impact Project (ACCLIP). Data from the Airborne Carbon Oxide Sulfide Spectrometer (ACOS), Carbon monOxide Measurement from Ames (COMA), Laser Induced Fluorescence - Nitrogen Oxide (LIF-NO), In Situ Airborne Formaldehyde (ISAF), Carbon Oxide Laser Detector 2 (COLD 2), and the NOAA UAS O3 Photometer (UASO3) is featured in this collection. Data collection for this product is complete.    ACCLIP is an international, multi-organizational suborbital campaign that aims to study aerosols and chemical transport that is associated with the Asian Summer Monsoon (ASM) in the Western Pacific region from 15 July 2022 to 31 August 2022. The ASM is the largest meteorological pattern in the Northern Hemisphere (NH) during the summer and is associated with persistent convection and large anticyclonic flow patterns in the upper troposphere and lower stratosphere (UTLS). This leads to significant enhancements in the UTLS of trace species that originate from pollution or biomass burning. Convection connected to the ASM occurs over South, Southeast, and East Asia, a region with complex and rapidly changing emissions due to its high population density and economic growth. Pollution that reaches the UTLS from this region can have significant effects on the climate and chemistry of the atmosphere, making it important to have an accurate representation and understanding of ASM transport, chemical, and microphysical processes for chemistry-climate models to characterize these interactions and for predicting future impacts on climate.    The ACCLIP campaign is conducted by the National Aeronautics and Space Administration (NASA) and the National Center for Atmospheric Research (NCAR) with the primary goal of investigating the impacts of Asian gas and aerosol emissions on global chemistry and climate. The NASA WB-57 and NCAR G-V aircraft are outfitted with state-of-the-art sensors to accomplish this. ACCLIP seeks to address four scientific objectives related to its main goal. The first is to investigate the transport pathways of ASM uplifted air from inside of the anticyclone to the global UTLS. Another objective is to sample the chemical content of air processed in the ASM in order to quantify the role of the ASM in transporting chemically active species and short-lived climate forcing agents to the UTLS to determine their impact on stratospheric ozone chemistry and global climate. Third, information is obtained on aerosol size, mass, and chemical composition that is necessary for determining the radiative effects of the ASM to constrain models of aerosol formation and for contrasting the organic-rich ASM UTLS aerosol population with that of the background aerosols. Last, ACCLIP seeks to measure the water vapor distribution associated with the monsoon dynamical structure to evaluate transport across the tropopause and determine the role of the ASM in water vapor transport in the stratosphere.	not-provided
ACEPOL_AircraftRemoteSensing_AirHARP_Data.v1	ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data Version 1	LARC_ASDC	2017-10-18	2020-11-20	-130, 25, -100, 45	https://cmr.earthdata.nasa.gov/search/concepts/C1758588261-LARC_ASDC.json	ACEPOL Airborne Hyper Angular Rainbow Polarimeter (AirHARP) Remotely Sensed Data (ACEPOL_AircraftRemoteSensing_AirHARP_Data) are remotely sensed measurements collected by the Airborne Hyper Angular Rainbow Polarimeter (AirHARP) onboard the ER-2 during ACEPOL. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which is a valuable resource for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.	not-provided
ACEPOL_AircraftRemoteSensing_AirSPEX_Data.v1	ACEPOL Airborne Spectrometer for Planetary Exploration (AirSPEX) Remotely Sensed Data Version 1	LARC_ASDC	2017-10-19	2017-11-09	-130, 25, -100, 45	https://cmr.earthdata.nasa.gov/search/concepts/C1758588281-LARC_ASDC.json	ACEPOL_AircraftRemoteSensing_AirSPEX_Data are remotely sensed measurements collected by the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) onboard the ER-2 during the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign. In order to improve our understanding of the effect of aerosols on climate and air quality, measurements of aerosol chemical composition, size distribution, height profile, and optical properties are of crucial importance. In terms of remotely sensed instrumentation, the most extensive set of aerosol properties can be obtained by combining passive multi-angle, multi-spectral measurements of intensity and polarization with active measurements performed by a High Spectral Resolution Lidar. During Fall 2017, the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) campaign, jointly sponsored by NASA and the Netherlands Institute for Space Research (SRON), performed aerosol and cloud measurements over the United States from the NASA high altitude ER-2 aircraft. Six instruments were deployed on the aircraft. Four of these instruments were multi-angle polarimeters: the Airborne Hyper Angular Rainbow Polarimeter (AirHARP), the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI), the Airborne Spectrometer for Planetary Exploration (SPEX Airborne) and the Research Scanning Polarimeter (RSP). The other two instruments were lidars: the High Spectral Resolution Lidar 2 (HSRL-2) and the Cloud Physics Lidar (CPL). The ACEPOL operation was based at NASA’s Armstrong Flight Research Center in Palmdale California, which enabled observations of a wide variety of scene types, including urban, desert, forest, coastal ocean and agricultural areas, with clear, cloudy, polluted and pristine atmospheric conditions. The primary goal of ACEPOL was to assess the capabilities of the different polarimeters for retrieval of aerosol and cloud microphysical and optical parameters, as well as their capabilities to derive aerosol layer height (near-UV polarimetry, O2 A-band). ACEPOL also focused on the development and evaluation of aerosol retrieval algorithms that combine data from both active (lidar) and passive (polarimeter) instruments. ACEPOL data are appropriate for algorithm development and testing, instrument intercomparison, and investigations of active and passive instrument data fusion, which make them valuable resources for remote sensing communities as they prepare for the next generation of spaceborne MAP and lidar missions.	not-provided
ACIDD.v0	Across the Channel Investigating Diel Dynamics project	OB_DAAC	2017-12-16		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360091-OB_DAAC.json	The ACIDD (Across the Channel Investigating Diel Dynamics) project, in the Santa Barbara Channel, was initially designed to characterize daily variations in phytoplankton populations, but with the Thomas Fire in the Santa Barbara Hills December 2017, this project evolved into a study to characterize the effects of smoke and ash on the mixed layer in the Santa Barbara Channel.	not-provided
ACOS_L2S.v7.3	ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V7.3 (ACOS_L2S) at GES DISC	GES_DISC	2009-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1339230297-GES_DISC.json	"Version 7.3 is the current version of the data set. Version 3.5 is no longer available and has been superseded by Version 7.3.  This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch,  ""ACOS"" data are still produced and improved, using approaches applied to the OCO-2 spectra.  The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process.  Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings.   Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation.   An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag.   Lastly, users should continue to carefully observe and weigh information from three important flags:         ""warn_level"" - Provides a value that summarizes each sounding's acceptability to a larger set of quality filters. A high warn level predicts that the sounding would fail most data filters applied to it. A low warn level suggests that the sounding would pass most quality filters that might be applied.         ""sounding_qual_flag"" - quality of input data provided to the retrieval processing            ""outcome_flag"" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated)            ""master_quality_flag"" - four possible values: ""Good"", ""Caution"" and ""Bad"", and ""Failed"", as determined from other flags in the L2 productThe short name for this data type is ACOS_L2S."	not-provided
ACOS_L2S.v9r	ACOS GOSAT/TANSO-FTS Level 2 Full Physics Standard Product V9r (ACOS_L2S) at GES DISC	GES_DISC	2009-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633158704-GES_DISC.json	"Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r.  This data set is currently provided by the OCO (Orbiting Carbon Observatory) Project. In expectation of the OCO-2 launch, the algorithm was developed by the Atmospheric CO2 Observations from Space (ACOS) Task as a preparatory project, using GOSAT TANSO-FTS spectra. After the OCO-2 launch,  ""ACOS"" data are still produced and improved, using approaches applied to the OCO-2 spectra.  The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances, and algorithm build version 7.3.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process.  Even though the GES DISC is not publicly distributing Level 1B ACOS products, it should be known that changes in this version are affecting both Level 1B and Level 2 data. An important enhancement in Level1B will address the degradation in the number of quality-passed soundings.   Elimination of many systematic biases, and better agreement with TCCON (Total Carbon Column Observing Network), is expected in Level 2 retrievals. The key changes to the L2 algorithm include scaling the O2-A band spectroscopy (reducing XCO2 bias by 4 or 5 ppm); using interpolation with the instrument lineshape [ ILS ] (reducing XCO2 bias by 1.5 ppm); and fitting a zero level offset to the A-band. Users have to also carefully familiarize themselves with the disclaimer in the new documentation.   An important element to note are the updates on data screening. Although a Master Quality Flag is provided in the data product, further analysis of a larger set of data has allowed the science team to provide an updated set of screening criteria. These are listed in the data user's guide, and are recommended instead of the Master Quality Flag.   Lastly, users should continue to carefully observe and weigh information from three important flags:          ""sounding_qual_flag"" - quality of input data provided to the retrieval processing            ""outcome_flag"" - retrieval quality based upon certain internal thresholds (not thoroughly evaluated)              "	not-provided
ACOS_L2_Lite_FP.v7.3	ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V7.3 (ACOS_L2_Lite_FP) at GES DISC	GES_DISC	2009-04-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1339230298-GES_DISC.json	"The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input.   The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process."	not-provided
ACOS_L2_Lite_FP.v9r	ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r (ACOS_L2_Lite_FP) at GES DISC	GES_DISC	2009-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1720416694-GES_DISC.json	"Version 9r is the current version of the data set. Older versions will no longer be available and are superseded by Version 9r. The ACOS Lite files contain bias-corrected XCO2 along with other select fields aggregated as daily files. Orbital granules of the ACOS Level 2 standard product (ACOS_L2S) are used as input.   The ""ACOS"" data set contains Carbon Dioxide (CO2) column averaged dry air mole fraction for all soundings for which retrieval was attempted. These are the highest-level products made available by the OCO Project, using TANSO-FTS spectral radiances.  The GOSAT team at JAXA produces GOSAT TANSO-FTS Level 1B (L1B) data products for internal use and for distribution to collaborative partners, such as ESA and NASA. These calibrated products are augmented by the OCO Project with additional geolocation information and further corrections. Thus produced Level 1B products (with calibrated radiances and geolocation) are the input to the ""ACOS"" Level 2 production process."	not-provided
ACR3L2DM.v1	ACRIM III Level 2 Daily Mean Data V001	LARC	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031504-LARC.json	ACR3L2DM_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Daily Mean Data version 1 product consists of Level 2 total solar irradiance in the form of daily means gathered by the ACRIM III instrument on the ACRIMSAT satellite. The daily means are constructed from the shutter cycle results for each day.	not-provided
ACR3L2SC.v1	ACRIM III Level 2 Shutter Cycle Data V001	LARC	2000-04-05	2013-11-09	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C61787524-LARC.json	ACR3L2SC_1 is the Active Cavity Radiometer Irradiance Monitor (ACRIM) III Level 2 Shutter Cycle Data version 1 product contains Level 2 total solar irradiance in the form of shutter cycles gathered by the ACRIM instrument on the ACRIMSAT satellite.	not-provided
ADAM.Surface.Reflectance.Database	ADAM Surface Reflectance Database v4.0	ESA	2005-01-01	2005-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1965336812-ESA.json	ADAM enables generating typical monthly variations of the global Earth surface reflectance at 0.1° spatial resolution (Plate Carree projection) and over the spectral range 240-4000nm.  The ADAM product is made of gridded monthly mean climatologies over land and ocean surfaces, and of a companion API toolkit that enables the calculation of hyperspectral (at 1 nm resolution over the whole 240-4000 nm spectral range) and multidirectional reflectances (i.e. in any illumination/viewing geometry) depending on user choices.  The ADAM climatologies that feed the ADAM calculation tools are:  For ocean:  monthly chlorophyll concentration derived from SeaWiFS-OrbView-2 (1999-2009); it is used to compute the water column reflectance (which shows large spectral variations in the visible, but is insignificant in the near and mid infrared). monthly wind speed derived from SeaWinds-QuikSCAT-(1999-2009); it is used to calculate the ocean glint reflectance. For land:  monthly normalized surface reflectances in the 7 MODIS narrow spectral bands derived from FondsdeSol processing chain of MOD09A1 products (derived from Aqua and Terra observations), on which relies the modelling of the hyperspectral/multidirectional surface (soil/vegetation/snow) reflectance. uncertainty variance-covariance matrix for the 7 spectral bands associated to the normalized surface reflectance. For sea-ice:  Sea ice pixels (masked in the original MOD09A1 products) have been accounted for by a gap-filling approach relying on the spatial-temporal distribution of sea ice coverage provided by the CryoClim climatology for year 2005.	not-provided
ADEOS_OCTS_L3BM_GAC_OCC_1day	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Day)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698128761-JAXA.json	"ADEOS OCTS L3BM GAC OCC 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is ""mg/m-3"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCC_1month	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Month)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698129571-JAXA.json	"ADEOS OCTS L3BM GAC OCC 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is monthly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is ""mg/m-3"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCC_1week	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Week)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698129911-JAXA.json	"ADEOS OCTS L3BM GAC OCC 1week dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is weekly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is ""mg/m-3"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCC_1year	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCC) (1-Year)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698131479-JAXA.json	"ADEOS OCTS L3BM GAC OCC 1year dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is annually L3BM, Level 3 Binned map GAC (Global Area Coverage) OCC (Ocean Color-Chlorophyll-a concentration) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCC product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of chlorophyll a concentration and palette data. The unit of geophysical quantity in this product is ""mg/m-3"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCK_1day	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Day)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698130444-JAXA.json	"ADEOS OCTS L3BM GAC OCK 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is daily L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is ""m-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCK_1month	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Month)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698131472-JAXA.json	"ADEOS OCTS L3BM GAC OCK 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is monthly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is ""m-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCK_1week	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Week)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698132483-JAXA.json	"ADEOS OCTS L3BM GAC OCK 1week dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is weekly L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is ""m-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCK_1year	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCK) (1-Year)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698129238-JAXA.json	"ADEOS OCTS L3BM GAC OCK 1year dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is annually L3BM, Level 3 Binned map GAC (Global Area Coverage) OCK (Diffuse attenuation coefficient at 490nm(K490)) product. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCK product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are Array of diffuse attenuation coefficient at 490 nm and palette data. The unit of geophysical quantity in this product is ""m-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCL_1day	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCL) (1-Day)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698128801-JAXA.json	"ADEOS OCTS L3BM GAC OCL 1day dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena.This product is daily L3BM, Level 3 binned map GAC (Global Area Coverage) OCL (Ocean Color) product includes Normalized water radiance at 412nm,443nm,490nm,520nm, and 565nm (nLw) and aerosol radiance at 670nm,765nm and 865nm. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCL product is daily or weekly, monthly, annually integrated. This product is one of the Ocean Color product stores, and these parameters are array of normalized water-leaving radiance and aerosol radiance and palette data. The unit of geophysical quantity is ""mW/cm-2/mm-1/sr-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
ADEOS_OCTS_L3BM_GAC_OCL_1month	ADEOS OCTS L3 GAC Binned Map Ocean Color (OCL) (1-Month)	JAXA	1996-11-01	1997-07-06	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2698130286-JAXA.json	"ADEOS OCTS L3BM GAC OCL 1month dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena.This product is monthly L3BM, Level 3 binned map GAC (Global Area Coverage) OCL (Ocean Color) product includes Normalized water radiance at 412nm,443nm,490nm,520nm, and 565nm (nLw) and aerosol radiance at 670nm,765nm and 865nm. Level 3 Binned map products are generated from Level 3 Binned products and classified into three subproducts: ocean color, vegetation, and sea surface temperature. GAG OCL product is daily or weekly, monthly, annually integrate. This product is one of the Ocean Color product stores, and these parameters are array of normalized water-leaving radiance and aerosol radiance and palette data. The unit of geophysical quantity is ""mW/cm-2/mm-1/sr-1"". The provided format is HDF4 format. The image data object, 13m-data, in each binned map product is a byte-valued, 4,096 * 2,048 array of an Equal-Area Rectangular projection of the globe."	not-provided
AERDB_L2_VIIRS_NOAA20_NRT.v2	VIIRS/NOAA-20 Deep Blue Aerosol L2 6-Min Swath 6 km (v2.0)	ASIPS	2023-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2706369224-ASIPS.json	The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land.    This orbit-level product (Short-name: AERDB_L2_VIIRS_NOAA20) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor’s scanning geometry and Earth’s curvature. Viewed differently, this product’s resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well.	not-provided
AERDB_L2_VIIRS_SNPP_NRT.v1.1	VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km	ASIPS	2019-04-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607549631-ASIPS.json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land.    This orbit-level product (Short-name: AERDB_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor’s scanning geometry and Earth’s curvature. Viewed differently, this product’s resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well.	not-provided
AERDB_L2_VIIRS_SNPP_NRT.v2	VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km (v2.0)	ASIPS	2023-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2706359459-ASIPS.json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) deep blue aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, every 6 minutes, globally. The Deep Blue algorithm draws its heritage from previous applications to retrieve AOT from Sea‐viewing Wide Field‐of‐view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements over land.    This orbit-level product (Short-name: AERDB_L2_VIIRS_SNPP) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor’s scanning geometry and Earth’s curvature. Viewed differently, this product’s resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. The L2 Deep Blue AOT data products, at 550 nanometers reference wavelengths, are derived from particular VIIRS bands using two primary AOT retrieval algorithms: Deep Blue algorithm over land, and the Satellite Ocean Aerosol Retrieval (SOAR) algorithm over ocean. Although this product is called Deep Blue based on retrievals for the land algorithm, the data includes over-water retrievals as well.	not-provided
AERDT_L2_VIIRS_NOAA20_NRT.v2	VIIRS/NOAA-20 Dark Target Aerosol L2 6-Min Swath (v2.0)	ASIPS	2023-11-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2812413911-ASIPS.json	The NOAA-20 - formerly the Joint Polar Satellite System-1 (JPSS-1) - Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua missions' Moderate Imaging Spectroradiometer (MODIS) instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible wavelengths).    This orbit-level product (Short-name: AERDT_L2_VIIRS_NOAA20_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. This Version-2 set of products is the first collection of the Level-2 Dark Target Aerosol derived from the NOAA-20 VIIRS source. Hence, it bears outlining the differences between the products derived from NOAA-20 VIIRS as against the Suomi National Polar-orbiting Partnership (NOAA20) VIIRS.	not-provided
AERDT_L2_VIIRS_SNPP_NRT.v1.1	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath	ASIPS	2020-06-09		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1976333380-ASIPS.json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).	not-provided
AERDT_L2_VIIRS_SNPP_NRT.v2	VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath (v2.0)	ASIPS	2023-11-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2812412751-ASIPS.json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA standard Level-2 (L2) dark target (DT) aerosol product provides satellite-derived measurements of Aerosol Optical Thickness (AOT) and their properties over land and ocean, and spectral AOT and their size parameters over oceans every 6 minutes, globally. The VIIRS incarnation of the DT aerosol product is based on the same DT algorithm that was developed and used to derive products from the Terra and Aqua mission’s MODIS instruments. Two separate and distinct DT algorithms exist. One helps retrieve aerosol information over ocean (dark in visible and longer wavelengths), while the second aids retrievals over vegetated/dark-soiled land (dark in the visible).    This orbit-level product (Short-name: AERDT_L2_VIIRS_SNPP_NRT) has an at-nadir resolution of 6 km x 6 km, and progressively increases away from nadir given the sensor's scanning geometry and Earth's curvature. Viewed differently, this product's resolution accommodates 8 x 8 native VIIRS moderate-resolution (M-band) pixels that nominally have ~750 m horizontal pixel size. Hence, the Level-2 Dark Target Aerosol Optical Thickness data product incorporates 64 (750 m) pixels over a 6-minute acquisition. Version 2.0 constitutes the latest collection of the L2 Dark Target Aerosol product and contains improvements over its previous collection (v1.1).	not-provided
AERIALDIGI	Aircraft Scanners	USGS_LTA	1987-10-06		-180, 24, -60, 72	https://cmr.earthdata.nasa.gov/search/concepts/C1220566211-USGS_LTA.json	The National Aeronautics and Space Administration (NASA) Aircraft        Scanners data set contains digital imagery acquired from several        multispectral scanners, including Daedalus thematic mapper simulator       scanners and  the thermal infrared multispectral scanner.  Data are       collected from  selected areas over the conterminous United States,       Alaska, and Hawaii by  NASA ER-2 and NASA C-130B aircraft, operating       from the NASA Ames Research  Center in Moffett Field, California, and by       NASA Learjet aircraft, operating  from Stennis Space Center in Bay St.       Louis, Mississippi.  Limited  international acquisitions also are       available.              In cooperation with the Jet Propulsion Laboratory and Daedalus        Enterprises,Inc., NASA developed several multispectral sensors.  The       data  acquired from these sensors supports NASA's Airborne Science and       Applications  Program and have been identified as precursors to the       instruments scheduled to  fly on Earth Observing System platforms.              THEMATIC MAPPER SIMULATOR              The Thematic Mapper Simulator (TMS) sensor is a line scanning device          designed for a variety of Earth science applications.  Flown aboard              NASA ER-2 aircraft, the TMS sensor has a nominal Instantaneous Field  of              View of 1.25 milliradians with a ground resolution of 81 feet (25  meters)              at 65,000 feet. The TMS sensor scans at a rate of 12.5 scans per  second              with 716 pixels per scan line.  Swath width is 8.3 nautical miles              (15.4 kilometers) at 65,000 feet while the scanner's Field of View  is              42.5 degrees.                NS-001 MULTISPECTRAL SCANNER               The NS-001multispectral scanner is a line scanning device designed  to              simulate Landsat thematic mapper (TM) sensor performance, including  a              near infrared/short-wave infrared band used in applications similar  to those         of the TM sensor (e.g., Earth resources mapping, vegetation/land  cover          mapping, geologic studies).  Flown aboard NASA C-130B aircraft, the  NS-001       sensor has a nominal Instantaneous Field of View of 2.5 milliradians     with a       ground resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a       variable scan rate (10 to 100 scans per second) with 699  pixels per scan line,       but the available motor drive supply restricts the  maximum stable scan speed       to approximately 85 revolutions per second. A scan rate  of 100 revolutions per       second is possible, but not probable, for short  scan lines; therefore, a       combination of factors, including aircraft  flight requirements and maximum       scan speed, prevent scanner operation below 1,500 feet.  Swath width is 3.9       nautical miles (7.26 kilometers) at 10,000 feet, and the total scan angle or       field of regard for the sensor is 100 degrees, plus or minus 15 degrees for       roll compensation.       THERMAL INFRARED MULTISPECTRAL SCANNER       The Thermal Infrared Multispectral Scanner (TIMS) sensor is a line  scanning         device originally designed for geologic applications.  Flown aboard NASA       C-130B, NASA ER-2, and NASA Learjet aircraft, the TIMS sensor  has a              nominal Instantaneous Field of View of 2.5 milliradians with a  ground              resolution of 25 feet (7.6 meters) at 10,000 feet.  The sensor has a              selectable scan rate (7.3, 8.7, 12, or 25 scans per second) with 698  pixels          per scan line.  Swath width is 2.6 nautical miles (4.8 kilometers)  at            10,000 feet while the scanner's Field of View is 76.56 degrees.	not-provided
AFLVIS1B.v1	AfriSAR LVIS L1B Geolocated Return Energy Waveforms V001	NSIDC_ECS	2016-02-20	2016-03-08	8, -2, 12, 1	https://cmr.earthdata.nasa.gov/search/concepts/C1549378019-NSIDC_ECS.json	This data set contains return energy waveform data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.	not-provided
AFLVIS2.v1	AfriSAR LVIS L2 Geolocated Surface Elevation Product V001	NSIDC_ECS	2016-02-20	2016-03-08	8, -2, 12, 1	https://cmr.earthdata.nasa.gov/search/concepts/C1549378743-NSIDC_ECS.json	This data set contains surface elevation data over Gabon, Africa. The measurements were taken by the NASA Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.	not-provided
AFOLVIS1A.v1	AfriSAR LVIS L1A Geotagged Images V001	NSIDC_ECS	2016-02-20	2016-03-08	8, -2, 12, 1	https://cmr.earthdata.nasa.gov/search/concepts/C1932134853-NSIDC_ECS.json	This data set contains geotagged images collected over Gabon, Africa. The images were taken by the NASA Digital Mapping Camera paired with the Land, Vegetation, and Ice Sensor (LVIS), an airborne lidar scanning laser altimeter. The data were collected as part of a NASA campaign, in collaboration with the European Space Agency (ESA) mission AfriSAR.	not-provided
AG100.v003	ASTER Global Emissivity Dataset, 100 meter, HDF5 V003	LPCLOUD	2000-01-01	2008-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2763266348-LPCLOUD.json	Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate spectral resolution TRANsmittance (MODTRAN 5.2 radiative transfer model). This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG100 data are available globally at spatial resolution of 100 meters.    The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.  	not-provided
AG1km.v003	ASTER Global Emissivity Dataset, 1 kilometer, HDF5 V003	LPCLOUD	2000-01-01	2008-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2763266350-LPCLOUD.json	Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) land surface temperature and emissivity (LST&E) data products are generated using the ASTER Temperature Emissivity Separation (TES) algorithm with a Water Vapor Scaling (WVS) atmospheric correction method using Moderate Resolution Imaging Spectroradiometer (MODIS) (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) atmospheric profiles and the MODerate Spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model. This dataset is computed from all clear-sky pixels of ASTER scenes acquired from 2000 through 2008. AG1KM data are available globally at spatial resolution of 1 kilometer.    The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.	not-provided
AG5KMMOH.v041	ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041	LPCLOUD	2000-03-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2763268461-LPCLOUD.json	Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product (MOD10CM) (https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product (MOD13C2) (https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5).    The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.	not-provided
AIRABRAD.v005	AIRS/Aqua L1B AMSU (A1/A2) geolocated and calibrated brightness temperatures V005 (AIRABRAD) at GES DISC	GES_DISC	2002-05-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1243477366-GES_DISC.json	"The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AMSU-A instrument is co-aligned with AIRS so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. AMSU-A is primarily a temperature sounder that provides atmospheric information in the presence of clouds, which can be used to correct the AIRS infrared measurements for the effects of clouds. This is possible because non-precipitating clouds are for the most part transparent to microwave radiation, in contrast to visible and infrared radiation which are strongly scattered and absorbed by clouds. AMSU-A1 has 13 channels from 50 - 90 GHz and AMSU-A2 has 2 channels from 23 - 32 GHz. The AIRABRAD_005 products are stored in files (often referred to as ""granules"") that contain 6 minutes of data, 30 footprints across track by 45 lines along track."	not-provided
AIRSAR_INT_JPG.v1	AIRSAR_ALONGTRACK_INTERFEROMETRY_JPG	ASF	1998-10-25	2004-03-05	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213921626-ASF.json	AIRSAR along-track interferometric browse product JPG	not-provided
AIRSAR_POL_3FP.v1	AIRSAR_POLSAR_3_FREQ_POLARIMETRY	ASF	1990-03-02	2004-03-21	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213921661-ASF.json	AIRSAR three-frequency polarimetric frame product	not-provided
AIRSAR_POL_SYN_3FP.v1	AIRSAR_POLSAR_SYNOPTIC_3_FREQ_POLARIMETRY	ASF	1990-03-29	1991-07-16	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213928843-ASF.json	AIRSAR three-frequency polarimetric synoptic product	not-provided
AIRSAR_TOP_C-DEM_STOKES.v1	AIRSAR_TOPSAR_C-BAND_DEM_AND_STOKES	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213927035-ASF.json	AIRSAR topographic SAR digital elevation model C_Stokes product	not-provided
AIRSAR_TOP_DEM.v1	AIRSAR_TOPSAR_DEM	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C179001730-ASF.json	AIRSAR topographic SAR digital elevation model product	not-provided
AIRSAR_TOP_DEM_C.v1	AIRSAR_TOPSAR_DEM_C	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213925022-ASF.json	AIRSAR topographic SAR digital elevation model CTIF product	not-provided
AIRSAR_TOP_DEM_L.v1	AIRSAR_TOPSAR_DEM_L	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213926419-ASF.json	AIRSAR topographic SAR digital elevation model LTIF product	not-provided
AIRSAR_TOP_DEM_P.v1	AIRSAR_TOPSAR_DEM_P	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213926777-ASF.json	AIRSAR topographic SAR digital elevation model PTIF product	not-provided
AIRSAR_TOP_L-STOKES.v1	AIRSAR_TOPSAR_L-BAND_STOKES	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213927939-ASF.json	AIRSAR topographic SAR digital elevation model L_Stokes product	not-provided
AIRSAR_TOP_P-STOKES.v1	AIRSAR_TOPSAR_P-BAND_STOKES	ASF	1993-06-08	2004-12-04	-172.880269, -27.388834, -49.704356, 69.25925	https://cmr.earthdata.nasa.gov/search/concepts/C1213928209-ASF.json	AIRSAR topographic SAR digital elevation model P_Stokes product	not-provided
AIRSM_CPR_MAT.v3.2	AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC	GES_DISC	2006-06-15	2012-12-14	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.json	"This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project.  The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records.  The short name for this collection is AIRSM_CPR_MAT  Parameters contained in the data files include the following: Variable Name|Description|Units   CH4_total_column|Retrieved total column CH4| (molecules/cm2)  CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None)  CloudLayers| Number of hydrometeor layers| (count)  clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2)  CO_total_column|Retrieved total column CO| (molecules/cm2)  CPR_Cloud_mask| CPR Cloud Mask |(None)  Data_quality| Data Quality |(None)  H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg)  H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air)  MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None)  MODIS_scene_var |MODIS scene variability| (None)  nSurfStd|1-based index of the first valid level|(None)  O3VMRStd|Ozone Volume Mixing Ratio|(vmr)  olr|All-sky Outgoing Longwave Radiation|(Watts/m**2)  Radar_Reflectivity| Radar Reflectivity Factor| (dBZe)  Sigma-Zero| Sigma-Zero| (dB*100)  TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K)  TCldTopStd|Cloud top temperature|(K)  totH2OStd|Total precipitable water vapor| (kg/m**2)  totO3Std|Total ozone burden| (Dobson)  TSurfAir|Atmospheric Temperature at Surface|(K)  TSurfStd|Surface skin temperature|(K) End of parameter information"	not-provided
AIRS_CPR_IND.v4.0	AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC	GES_DISC	2006-06-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.json	"Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1.  This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4  format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project.  The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records.  The short name for this collection is AIRS_CPR_IND"	not-provided
AIRS_CPR_MAT.v3.2	AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC	GES_DISC	2006-06-15	2012-12-14	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.json	"This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project.   The basic task is to bring together retrievals of water vapor and cloud properties from multiple ""A-train"" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each ""scene"" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time ""matchups"" between pairs of instruments, and process years of satellite data to produce the climate data records.  The short name for this collection is AIRS_CPR_MAT  Parameters contained in the data files include the following: Variable Name|Description|Units   CldFrcStdErr|Cloud Fraction|(None)  CloudLayers| Number of hydrometeor layers| (count)  CPR_Cloud_mask| CPR Cloud Mask| (None)  DEM_elevation| Digital Elevation Map| (m)  dust_flag|Dust Flag|(None)  latAIRS|AIRS IR latitude|(deg)  Latitude|CloudSat Latitude |(degrees)  LayerBase| Height of Layer Base| (m)  LayerTop| Height of layer top| (m)  lonAIRS|AIRS IR longitude|(deg)  Longitude|CloudSat Longitude| (degrees)  MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None)  Radar_Reflectivity| Radar Reflectivity Factor| (dBZe)  radiances|Radiances|(milliWatts/m**2/cm**-1/steradian)  Sigma-Zero| Sigma-Zero| (dB*100)  spectral_clear_indicator|Spectral Clear Indicator|(None)  Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information"	not-provided
AIRXAMAP.v005	AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC	GES_DISC	2002-05-21		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1233769004-GES_DISC.json	The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view.	not-provided
AIRXBCAL.v005	AIRS/Aqua L1B Calibration subset V005 (AIRXBCAL) at GES DISC	GES_DISC	2002-08-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1243477315-GES_DISC.json	The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. AIRS/Aqua Level-1B calibration subset including clear cases, special calibration sites, random nadir spots, and high clouds. The AIRS Visible/Near Infrared (VIS/NIR) level 1B data set contains AIRS visible and near-infrared calibrated and geolocated radiances in W/m^2/micron/steradian. This data set is generated from AIRS level 1A digital numbers (DN), including 4 channels in the 0.4 to 1.0 um region of the spectrum.	not-provided
AK_AVHRR	Alaska AVHRR Twice-Monthly Composites	USGS_LTA	1990-06-16		-179, 51, -116, 70	https://cmr.earthdata.nasa.gov/search/concepts/C1220565954-USGS_LTA.json	The goal of the Alaska Advanced Very High Resolution Radiometer  (AVHRR) project is to compile a time series data set of calibrated,  georegistered  daily observations and twice-monthly maximum normalized difference  vegetation index (NDVI) composites for Alaska's annual growing  season (April-October). This data set has applications for environmental monitoring and for assessing impacts of global climate change.  An Alaska AVHRR data set is comprised of twice-monthly maximum NDVI composites of daily satellite observations.  The NDVI composites  contain 10 bands of information, including AVHRR channels 1-5, maximum NDVI, satellite zenith, solar zenith, and relative azimuth.  The daily   observations, bands 1-9, have been calibrated to reflectance, scaled  to   byte data, and geometrically registered to the Albers Equal-Area  Conic map projection. The 10th band is a pointer to identify the date and  scene ID of  the source daily observation (scene) for each pixel.  The compositing process required each daily overpass to be  registered to a common map projection to ensure that from day to day each 1-km pixel represented the exact same ground location.  The Albers Equal-Area Conic map projection provides for equal area representation, which enables  easy measurement of area throughout the data.  Each daily observation for  the growing season was registered to a base image using image-to-image correlation.  The NDVI data are calculated from the calibrated, geometrically  registered daily observations. The NDVI value is the difference between  near-infrared (AVHRR Channel 2) and visible (AVHRR Channel 1) reflectance values  divided by total measured reflectance.  A maximum NDVI compositing process  was used on the daily observations.  The NDVI is examined pixel by pixel for  each observation during the compositing period to determine and retain  the maximum value.  Often when displaying data covering large areas, such as AVHRR data,  it is beneficial to include an overlay of either familiar linework for  reflectance or polygon data sets to derive statistical summaries of regions.  All of the linework images represent lines in raster format as 1-km cells and  the strata are represented as polygons registered to the AVHRR data.  The  linework and polygon data sets include international boundaries, Alaskan roads  with the Trans-Alaska Pipeline, and a raster polygon mask of the State. 	not-provided
ALOS	Alos African Coverage ESA archive	ESA	2006-07-09	2009-05-12	-26, -37, 53, 37	https://cmr.earthdata.nasa.gov/search/concepts/C1965336815-ESA.json	ALOS Africa is a dataset of the best available (cloud minimal, below 10%) African coverage acquired by AVNIR-2 in OBS mode and PRISM in OB1 mode (all Backward, Nadir and Forward views, in separated products), two different collections one for each instrument. The processing level for both AVNIR-2 and PRISM products is L1B.	not-provided
ALOS.AVNIR-2.L1C	ALOS AVNIR-2 L1C	ESA	2006-04-28	2011-04-20	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2119689548-ESA.json	This collection is providing access to the ALOS-1 AVNIR-2 (Advanced Visible and Near Infrared Radiometer type 2) L1C data acquired by ESA stations in the ADEN zone plus some worldwide data requested by European scientists. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and the African continents, large part of the Greenland and the Middle East. The full mission is covered, obviously with gaps outside to the ADEN zone: • Time windows: from 2006-04-28 to 2011-04-20 • Orbits: from 1375 to 27898 • Path (corresponds to JAXA track number): from 1 to 670 • Row (corresponds to JAXA scene centre frame number): from 370 to 5230 One single Level 1C product types is offered for the OBS instrument mode: AV2_OBS_1C.	not-provided
ALOS.PALSAR.FBS.FBD.PLR.products	ALOS PALSAR products	ESA	2006-05-02	2011-04-14	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1965336814-ESA.json	The dataset contains all ESA acquisitions over the ADEN zone (Europe, Africa and the Middle East) plus some products received from JAXA over areas of interest around the world. Further information on ADEN zones can be found in this technical note (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf).  ALOS PALSAR products are available in following modes:• Fine Beam Single polarisation(FBS): single polarisation (HH or VV), swath 40-70km, resolution 10m, temporal coverage from 02/05/2006 to 30/03/2011 • Fine Beam Double polarisation (FBD): double polarisation (HH/HV or VV/VH) ), swath 40-70km, resolution 10m, temporal coverage from 02/05/2006 to 30/03/2011 • Polarimetry mode (PLR), with four polarisations simultaneously: swath 30km, resolution 30m, temporal coverage from 26/08/2006 to 14/04/2011 • ScanSAR Burst mode 1 (WB1), single polarization: swath 250-350km, resolution 100m,  temporal coverage from 12/06/2006 to 21/04/2011  Following processing levels are available: • RAW( level 1.0): Raw data generated by every downlink segment and every band. Divided into an equivalent size to one scene. • GDH (level 1.5):Ground range Detected, Normal resolution product • GEC (level 1.5): Geocoded product	not-provided
ALOSIPY	ALOS PALSAR International Polar Year Antarctica	ESA	2008-07-25	2010-03-31	-180, -90, 180, -50	https://cmr.earthdata.nasa.gov/search/concepts/C1965336817-ESA.json	International Polar Year (IPY), focusing on the north and south polar regions, aimed to investigate the impact of how changes to the ice sheets affect ocean and climate change to the habitats in these regions. IPY was a collaborative project involving over sixty countries for two years from March 2007 to March 2009. To meet the project goal, world space agencies observed these regions intensively using their own Earth observation satellites. One of these satellites, ALOS - with the PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor - observed these regions independently from day-night conditions or weather conditions. Carrying on this initiative, ESA is providing the ALOS PALSAR IPY Antarctica dataset, which consists of full resolution ALOS PALSAR ScanSAR WB1 products (100m spatial resolution) over Antarctica from July 2008 (cycle 21) to December 2008 (Cycle 24) and from May 2009 (cycle 27) to March 2010 (cycle 31). Missing products between the two periods above is due to L0 data over Antarctica not being available in ADEN archives and not processed to L1. Spatial coverage: Check the spatial coverage of the collection on a _$$map$$ https://tpm-ds.eo.esa.int/smcat/ALOSIPY/ available on the Third Party Missions Dissemination Service.	not-provided
ALOS_PRISM_L1B	Alos PRISM L1B	ESA	2006-07-09	2011-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2119689640-ESA.json	This collection provides access to the ALOS-1 PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) L1B data acquired by ESA stations in the ADEN zone plus some data requested by European scientists over their areas of interest around the world. The ADEN zone (https://earth.esa.int/eogateway/documents/20142/37627/ALOS-ADEN-Zone.pdf) was the area belonging to the European Data node and covered both the European and African continents, a large part of Greenland and the Middle East.  The full mission is covered, though with gaps outside of the ADEN zone:  Time window: from 2006-07-09 to 2011-03-31 Orbits: from 2425 to 24189 Path (corresponds to JAXA track number): from 1 to 668 Row (corresponds to JAXA scene centre frame number): from 55 to 7185. Two different Level 1B product types (Panchromatic images in VIS-NIR bands, 2.5 m resolution at nadir) are offered, one for each available sensor mode:  PSM_OB1_11 -> composed of up to three views; Nadir, Forward and Backward at 35 km swath PSM_OB2_11 -> composed of up to two views; Nadir view at 70 km width and Backward view at 35 km width. All ALOS PRISM EO-SIP products have, at least, the Nadir view which is used for the frame number identification. All views are packaged together; each view, in CEOS format, is stored in a directory named according to the view ID according to the JAXA naming convention.	not-provided
AM1EPHNE.v6.1NRT	Files containing only extrapolated orbital metadata, to be read via SDP Toolkit, Binary Format	LANCEMODIS	2016-01-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426293893-LANCEMODIS.json	AM1EPHNE is the Terra Near Real Time (NRT) 2-hour spacecraft Extrapolated ephemeris data file in native format. The file name format is the following: AM1EPHNE.Ayyyyddd.hhmm.vvv.yyyydddhhmmss where from left to right:  E = Extrapolated; N = Native format; A = AM1 (Terra); yyyy = data year, ddd = Julian data day, hh = data hour, mm = data minute; vvv = Version ID; yyyy = production year, ddd = Julian production day, hh = production hour, mm = production minute, and ss = production second. Data set information: http://modis.gsfc.nasa.gov/sci_team/	not-provided
APSF	Aerial Photo Single Frames	USGS_LTA	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220567654-USGS_LTA.json	The Aerial Photography Single Frame Records collection is a large and diverse group of imagery acquired by Federal organizations from 1937 to the present. Over 6.4 million frames of photographic images are available for download as medium and high resolution digital products. The high resolution data provide access to photogrammetric quality scans of aerial photographs with sufficient resolution to reveal landscape detail and to facilitate the interpretability of landscape features. Coverage is predominantly over the United States and includes portions of Central America and Puerto Rico. Individual photographs vary in scale, size, film type, quality, and coverage.	not-provided
AQUARIUS_ANCILLARY_CELESTIALSKY_V1.v1	Aquarius Celestial Sky Microwave Emission Map Ancillary Dataset V1.0	POCLOUD	2011-09-01	2015-06-07	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2617176761-POCLOUD.json	"This datasets contains three maps of L-band (wavelength = 21 cm) brightness temperature of the celestial sky (""Galaxy"") used in the processing of the NASA Aquarius instrument data. The maps report Sky brightness temperatures in Kelvin gridded on the Earth Centered Inertial (ECI) reference frame epoch J2000. They are sampled over 721 Declinations between -90 degrees and +90 degrees and 1441 Right Ascensions between 0 degrees and 360 degrees, all evenly spaced at 0.25 degrees intervals. The brightness temperatures are assumed temporally invariant and polarization has been neglected.  They include microwave continuum and atomic hydrogen line (HI) emissions. The maps differ only in how the strong radio source Cassiopeia A has been included into the whole sky background surveys: 1/ TB_no_Cas_A does not include Cassiopeia A and reports only the whole Sky surveys. 2/ TB_Cas_A_1cell spread Cas A total flux homogeneously over 1 map grid cell (i.e. 9.8572E-6 sr). 3/ TB_Cas_A_beam spreads Cas A over surrounding grid cells using a convolution by a Gaussian beam with HPBW of 35 arcmin (equivalent to the instrument used for the Sky surveys). Cassiopeia A  is a supernova remnant (SNR) in the constellation Cassiopeia and the brightest extra-solar radio source in the sky at frequencies above 1."	not-provided
AQUARIUS_L2_SSS_CAP_V5.v5.0	Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0	POCLOUD	2011-08-26	2015-06-05	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205121315-POCLOUD.json	The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL.  This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L2_SSS_V5.v5.0	Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0	POCLOUD	2011-08-25	2015-06-07	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2036882456-POCLOUD.json	The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data. Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable.	not-provided
AQUARIUS_L3_SSS_CAP_7DAY_V5.v5.0	Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image 7-Day Data V5.0	POCLOUD	2011-08-26	2015-06-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491756349-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm.  Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the 7-Day running mean sea surface salinity (SSS) V5.0 Aquarius CAP product.  CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST.   The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L3_SSS_CAP_MONTHLY_V5.v5.0	Aquarius CAP Level 3 Sea Surface Salinity Standard Mapped Image Monthly Data V5.0	POCLOUD	2011-09-01	2015-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491756350-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the monthly sea surface salinity (SSS) V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L3_SSS_RAINCORRECTED_CAP_7DAY_V5.v5.0	Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image 7-Day Data V5.0	POCLOUD	2011-08-26	2015-06-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491756351-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the 7-Day running mean sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L3_SSS_RAINCORRECTED_CAP_MONTHLY_V5.v5.0	Aquarius CAP Level 3 Sea Surface Salinity Rain Corrected Standard Mapped Image Monthly Data V5.0	POCLOUD	2011-09-01	2015-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491756352-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the monthly sea surface salinity (SSS) rain corrected V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L3_WIND_SPEED_CAP_7DAY_V5.v5.0	Aquarius CAP Level 3 Wind Speed Standard Mapped Image 7-Day Data V5.0	POCLOUD	2011-08-26	2015-06-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491757161-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the 7-Day running mean wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST.  The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
AQUARIUS_L3_WIND_SPEED_CAP_MONTHLY_V5.v5.0	Aquarius CAP Level 3 Wind Speed Standard Mapped Image Monthly Data V5.0	POCLOUD	2011-09-01	2015-06-01	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2491757162-POCLOUD.json	Version 5.0 Aquarius CAP Level 3 products are the fourth release of the AQUARIUS/SAC-D mapped salinity and wind speed data based on the Combined Active Passive (CAP) algorithm. CAP Level 3 standard mapped image products contain gridded 1 degree spatial resolution salinity and wind speed data averaged over 7 day and monthly time scales.  This particular dataset is the monthly wind speed V5.0 Aquarius CAP product. CAP is a P.I. produced dataset developed and provided by JPL.  The CAP algorithm utilizes data from both the onboard radiometer and scatterometer to simultaneously retrieve salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit.  Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.	not-provided
ASAC_2201_HCL_0.5.v1	0.5 hour 1 M HCl extraction data for the Windmill Islands marine sediments	AU_AADC	1997-10-01	1999-03-31	110, -66, 110, -66	https://cmr.earthdata.nasa.gov/search/concepts/C1214305813-AU_AADC.json	These results are for the 0.5 hour extraction of HCl.  See also the metadata records for the 4 hour extraction of HCl, and the time trial data for 1 M HCl extractions.  A regional survey of potential contaminants in marine or estuarine sediments is often one of the first steps in a post-disturbance environmental impact assessment. Of the many different chemical extraction or digestion procedures that have been proposed to quantify metal contamination, partial acid extractions are probably the best overall compromise between selectivity, sensitivity, precision, cost and expediency.  The extent to which measured metal concentrations relate to the anthropogenic fraction that is bioavailable is contentious, but is one of the desired outcomes of an assessment or prediction of biological impact.  As part of a regional survey of metal contamination associated with Australia's past waste management activities in Antarctica, we wanted to identify an acid type and extraction protocol that would allow a reasonable definition of the anthropogenic bioavailable fraction for a large number of samples.  From a kinetic study of the 1 M HCl extraction of two certified Certified Reference Materials (MESS-2 and PACS-2) and two Antarctic marine sediments, we concluded that a 4 hour extraction time allows the equilibrium dissolution of relatively labile metal contaminants, but does not favour the extraction of natural geogenic metals.  In a regional survey of 88 marine samples from the Casey Station area of East Antarctica, the 4 h extraction procedure correlated best with biological data, and most clearly identified those sediments thought to be contaminated by runoff from abandoned waste disposal sites.  Most importantly the 4 hour extraction provided better definition of the low to moderately contaminated locations by picking up small differences in anthropogenic metal concentrations.  For the purposes of inter-regional comparison, we recommend a 4 hour 1 M HCl acid extraction as a standard method for assessing metal contamination in Antarctica.  The fields in this dataset are  Location Site Replicate Antimony Arsenic Cadmium Chromium Copper Iron Lead Manganese Nickel Silver Tin Zinc	not-provided
ASAC_2357.v2	10 year trend of levels of organochlorine pollutants in Antarctic seabirds	AU_AADC	2003-12-16	2004-01-18	77.59, -68.93, 77.99, -68.755	https://cmr.earthdata.nasa.gov/search/concepts/C1214305884-AU_AADC.json	Metadata record for data from ASAC Project 2357 See the link below for public details on this project.  ---- Public Summary from Project ---- Contaminants like PCBs and DDE have hardly been used Antarctica. Hence, this is an excellent place to monitor global background levels of these organochlorines. In this project concentrations in penguins and petrels will be compared to 10 years ago, which will show time trends of global background contamination levels.  Data set description From several birds from Hop Island, Rauer Islands near Davis, samples were  collected from preenoil (oil that birds excrete to preen their feathers. This preenoil was then analysed for organochlorine pollutants like polychlorinated  biphenyls, (PCBs), hexachlorobenzene (HCB), DDE and dieldrin. The species  under investigation were the Adelie penguin (Pygoscelis adeliae) and the  Southern Fulmar (Fulmarus glacialoides). The samples were collected from adult  breeding birds, and stored in -20 degrees C as soon as possible. The analysis  was done with relatively standard but very optimised methods, using a  gas-chromatograph and mass-selective detection.    Data sheets: The data are available in excel-sheets, located at Alterra, The Netherlands (the affiliation of the PI Nico van den Brink.). Data are available on PCB153 (polychlorinated biphenyl congener numbered 153), hexachlorobenzene (HCB), DDE (a metabolite of the pesticide DDT), and dieldrin (an insecticide).  The metadata are in 4 sheets (in meta data 2357.xls): 1. 'Concentrations fulmars' 2. 'Morphometric data fulmars' 3. 'Concentrations Adelies' 4. 'Morphometric data Adelies'  The column headings are:   1. 'Concentrations fulmars'  - Fulmar: bird number, corresponds with sheet 'morphometric data fulmars'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil  2. Morphometric data fulmars  - Fulmar: bird number, corresponds with sheet 'Concentrations fulmars'.  - Bill Length (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Wing Length (cm): length of right wing - Weight (kg): weight of bird (without bag)  3. 'Concentrations Adelies'  Adelie: bird number, corresponds with sheet 'morphometric data Adelies'. - PCB153: concentration of PCB-congener 153 (ng/g lipids) - HCB: concentration of hexachlorobenzene (ng/g lipids) - DDE: concentration of DDE (ng/g lipids) - Dieldrin: concentration of dieldrin (ng/g lipids) - Sample size weight of collected amount of preenoil  4. 'Morphometric data Adelies'  - Adelie: bird number, corresponds with sheet 'Concentrations Adelies'.  - Bill (mm): length of bill (tip to base) - Head Length (mm): length of head (tip of bill to back of head) - Tarsus (mm): length of tarsus - Flipper Length (cm): length of right flipper (wing) - Weight (kg): weight of bird (without bag)  In sheets on concentrations: less than d.l.: concentrations below detection limits.	not-provided
AST14DEM.v003	ASTER Digital Elevation Model V003	LPDAAC_ECS	2000-03-06		-180, -83, 180, 83	https://cmr.earthdata.nasa.gov/search/concepts/C1299783579-LPDAAC_ECS.json	The ASTER Digital Elevation Model (AST14DEM) product is generated (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) using bands 3N (nadir-viewing) and 3B (backward-viewing) of an (ASTER Level 1A) (https://doi.org/10.5067/ASTER/AST_L1A.003) image acquired by the Visible and Near Infrared (VNIR) sensor. The VNIR subsystem includes two independent telescope assemblies that facilitate the generation of stereoscopic data. The band 3 stereo pair is acquired in the spectral range of 0.78 and 0.86 microns with a base-to-height ratio of 0.6 and an intersection angle of 27.7 degrees. There is a time lag of approximately one minute between the acquisition of the nadir and backward images. For a better understanding, refer to this (diagram) (https://lpdaac.usgs.gov/documents/301/ASTER_Along_Track_Imaging_Geometry.png) depicting the along-track imaging geometry of the ASTER VNIR nadir and backward-viewing sensors.    The accuracy of the new LP DAAC produced DEMs will meet or exceed accuracy specifications set for the ASTER relative DEMs by the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/81/AST14_ATBD.pdf). Users likely will find that the DEMs produced by the new LP DAAC system have accuracies approaching those specified in the ATBD for absolute DEMs. Validation testing has shown that DEMs produced by the new system frequently are more accurate than 25 meters root mean square error (RMSE) in xyz dimensions.    Improvements/Changes from Previous Versions    As of January 2021, the LP DAAC has implemented version 3.0 of the Sensor Information Laboratory Corporation ASTER DEM/Ortho (SILCAST) software, which is used to generate the Level 2 on-demand ASTER Orthorectified and Digital Elevation Model (DEM) products (AST14). The updated software provides digital elevation extraction and orthorectification from ASTER L1B input data without needing to enter ground control points or depending on external global DEMs at 30-arc-second resolution (GTOPO30). It utilizes the ephemeris and attitude data derived from both the ASTER instrument and the Terra spacecraft platform. The outputs are geoid height-corrected and waterbodies are automatically detected in this version. Users will notice differences between AST14DEM, AST14DMO, and AST14OTH products ordered before January 2021 (generated with SILCAST V1) and those generated with the updated version of the production software (version 3.0). Differences may include slight elevation changes over different surface types, including waterbodies. Differences have also been observed over cloudy portions of ASTER scenes. Additional information on SILCAST version 3.0 can be found on the  SILCAST website (http://www.silc.co.jp/en/products.html).    Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.    Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.      	not-provided
ASTGTM.v003	ASTER Global Digital Elevation Model V003	LPCLOUD	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1711961296-LPCLOUD.json	The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).    The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.     The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated.     The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in GeoTIFF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area.     Provided in the ASTER GDEM product are layers for DEM and number of scenes (NUM). The NUM layer indicates the number of scenes that were processed for each pixel and the source of the data.    While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications.     Improvements/Changes from Previous Versions   • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3.  • Separation of rivers from lakes in the water body processing.   • Minimum water body detection size decreased from 1 km2 to 0.2 km2. 	not-provided
ASTGTM_NC.v003	ASTER Global Digital Elevation Model NetCDF V003	LPCLOUD	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2439422590-LPCLOUD.json	The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).  The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.   The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated.   The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area.   Each ASTGTM_NC data product contains a DEM file, which provides elevation information. The corresponding ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data.  While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications.   Improvements/Changes from Previous Versions  • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3. • Separation of rivers from lakes in the water body processing.  • Minimum water body detection size decreased from 1 km2 to 0.2 km2.  	not-provided
ASTGTM_NUMNC.v003	ASTER Global Digital Elevation Model Attributes NetCDF V003	LPCLOUD	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C2439429778-LPCLOUD.json	The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).    The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.     The ASTER GDEM Version 3 data product was created from the automated processing of the entire ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) archive of scenes acquired between March 1, 2000, and November 30, 2013. Stereo correlation was used to produce over one million individual scene based ASTER DEMs, to which cloud masking was applied. All cloud screened DEMs and non-cloud screened DEMs were stacked. Residual bad values and outliers were removed. In areas with limited data stacking, several existing reference DEMs were used to supplement ASTER data to correct for residual anomalies. Selected data were averaged to create final pixel values before partitioning the data into 1 degree latitude by 1 degree longitude tiles with a one pixel overlap. To correct elevation values of water body surfaces, the ASTER Global Water Bodies Database (ASTWBD) (https://doi.org/10.5067/ASTER/ASTWBD.001) Version 1 data product was also generated.     The geographic coverage of the ASTER GDEM extends from 83° North to 83° South. Each tile is distributed in NetCDF format and projected on the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each of the 22,912 tiles in the collection contain at least 0.01% land area.     Each ASTGTM_NUMNC file indicates the number of scenes that were processed for each pixel and the source of the data.. The corresponding ASTGTM_NC data product contains a DEM file, which provides elevation information.     While the ASTER GDEM Version 3 data products offer substantial improvements over Version 2, users are advised that the products still may contain anomalies and artifacts that will reduce its usability for certain applications.     Improvements/Changes from Previous Versions   • Expansion of acquisition coverage to increase the amount of cloud-free input scenes from about 1.5 million in Version 2 to about 1.88 million scenes in Version 3.  • Separation of rivers from lakes in the water body processing.   • Minimum water body detection size decreased from 1 km2 to 0.2 km2. 	not-provided
ASTWBD.v001	ASTER Global Water Bodies Database V001	LPDAAC_ECS	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1575734433-LPDAAC_ECS.json	The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information.     The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces.    To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required.     The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in GeoTIFF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each data product is provided as a zipped file that contains an attribute file with the water body classification information and a DEM file, which provides elevation information in meters. 	not-provided
ASTWBD_ATTNC.v001	ASTER Global Water Bodies Database Attributes NetCDF V001	LPDAAC_ECS	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1575734760-LPDAAC_ECS.json	The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information.     The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces.    To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required.     The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_ATTNC file contains an attribute file with the water body classification information. The corresponding  ASTWBD_NC data product DEM file, which provides elevation information in meters.	not-provided
ASTWBD_NC.v001	ASTER Global Water Bodies Database NetCDF V001	LPDAAC_ECS	2000-03-01	2013-11-30	-180, -83, 180, 82	https://cmr.earthdata.nasa.gov/search/concepts/C1575734501-LPDAAC_ECS.json	The ASTER Global Water Bodies Database (ASTWBD) Version 1 data product provides global coverage of water bodies larger than 0.2 square kilometers at a spatial resolution of 1 arc second (approximately 30 meters) at the equator, along with associated elevation information.     The ASTWBD data product was created in conjunction with the ASTER Global Digital Elevation Model (ASTER GDEM) Version 3 data product by the Sensor Information Laboratory Corporation (SILC) in Tokyo. The ASTER GDEM Version 3 data product was generated using ASTER Level 1A (https://doi.org/10.5067/ASTER/AST_L1A.003) scenes acquired between March 1, 2000, and November 30, 2013. The ASTWBD data product was then generated to correct elevation values of water body surfaces.    To generate the ASTWBD data product, water bodies were separated from land areas and then classified into three categories: ocean, river, or lake. Oceans and lakes have a flattened, constant elevation value. The effects of sea ice were manually removed from areas classified as oceans to better delineate ocean shorelines in high latitude areas. For lake waterbodies, the elevation for each lake was calculated from the perimeter elevation data using the mosaic image that covers the entire area of the lake. Rivers presented a unique challenge given that their elevations gradually step down from upstream to downstream; therefore, visual inspection and other manual detection methods were required.     The geographic coverage of the ASTWBD extends from 83°N to 83°S. Each tile is distributed in NetCDF format and referenced to the 1984 World Geodetic System (WGS84)/1996 Earth Gravitational Model (EGM96) geoid. Each ASTWBD_NC data product DEM file, which provides elevation information in meters. The corresponding ASTWBD_ATTNC file contains an attribute file with the water body classification information.	not-provided
AST_05.v003	ASTER L2 Surface Emissivity V003	LPDAAC_ECS	2000-03-04		-180, -83, 180, 83	https://cmr.earthdata.nasa.gov/search/concepts/C1299783607-LPDAAC_ECS.json	"The ASTER L2 Surface Emissivity is an on-demand product ((https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf)) generated using the five thermal infrared (TIR) bands (acquired either during the day or night time) between 8 and 12 µm spectral range. It contains surface emissivity over the land at 90 meters spatial resolution. Estimates of surface emissivity were thus far only derived using surrogates such as land-cover type or vegetation index.     The Temperature/Emissivity Separation (TES) algorithm is used to derive both E (emissivity) and T (surface temperature). The main goals of the TES algorithm include: recovering accurate and precise emissivities for mineral substrates, and estimating accurate and precise surface temperatures especially over vegetation, water and snow.The TES algorithm is executed in the ASTER processing chain following generation of ASTER Level-2 Surface Radiance (TIR). The land-leaving radiance and down-welling irradiance vectors for each pixel are taken in account. Emissivity is estimated using the Normalized Emissivity Method (NEM), and is iteratively compensated for reflected sunlight. The emissivity spectrum is normalized using the average emissivity of each pixel. The minimum-maximum difference (MMD) of the normalized spectrum is calculated and estimates of the minimum emissivity derived through regression analysis. These estimates are used to scale the normalized emissivity and compensate for reflected skylight with the derived refinement of emissivity.     ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/).    V003 data set release date: 2002-05-03    Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.    Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.    As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products.  Changes include:  •	Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020.  The sequence of fallbacks for ozone will remain the same.  •	Toolkit has been updated from Version 5.2.17 to 5.2.20.  Users may notice minor differences between the two versions.  Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data.    Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form.  It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis.  Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP.  Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied.    Aura OMI data are no longer available as an input for ASTER Level 2 data acquisitions after October 6, 2023. For data acquired after this date, ozone inputs will automatically fall back to climatology ozone inputs when Aura OMI is selected as an input. For more details, please refer to the Discontinuation of Aura OMI as an Input news announcement (https://lpdaac.usgs.gov/news/discontinuation-of-aura-omi-as-an-ancillary-ozone-input-for-aster-products/).  "	not-provided
AST_09XT.v003	ASTER L2 Surface Radiance - VNIR and Crosstalk Corrected SWIR V003	LPDAAC_ECS	2000-03-06		-180, -83, 180, 83	https://cmr.earthdata.nasa.gov/search/concepts/C1299783631-LPDAAC_ECS.json	"The ASTER Surface Radiance VNIR and Crosstalk Corrected SWIR (AST_09XT) is a multi-file product (https://lpdaac.usgs.gov/documents/996/ASTER_Earthdata_Search_Order_Instructions.pdf) that contains atmospherically corrected data for both the Visible and Near Infrared (VNIR) and Shortwave Infrared (SWIR) sensors. The crosstalk phenomenon was discovered during the nascent stage of the Terra Mission. It is whereby the incident light with band 4 caused multiple reflections for the SWIR bands, which resulted in blurred images. This has been corrected with the ASTER L2 Surface Radiance VNIR and Crosstalk Corrected SWIR data product. Each product delivery includes two Hierarchical Data Format - Earth Observing System (HDF-EOS) files: one for the VNIR, and the other for the SWIR. Both the VNIR and the SWIR data are atmospherically corrected using the corresponding bands from an (ASTER Level 1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) image.    ASTER Level 2 data requests for observations that occurred after May 27, 2020 will resort back to using the climatology ozone input. Additional information can be found in the ASTER L2 Processing Options Update (https://lpdaac.usgs.gov/news/aster-l2-processing-options-update/).    Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.    Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.    As of December 15, 2021, the LP DAAC has implemented changes to ASTER PGE Version 3.4, which will affect all ASTER Level 2 on-demand products.  Changes include:  •	Aura Ozone Monitoring Instrument (OMI) has been added as one of the ancillary ozone inputs for any observations made after May 27, 2020.  The sequence of fallbacks for ozone will remain the same.  •	Toolkit has been updated from Version 5.2.17 to 5.2.20.  Users may notice minor differences between the two versions.  Differences may include minuscule changes in digital numbers around the peripheral of the granule and boundaries of a cloud for Surface Reflectance and Surface Radiance (AST07 and AST09) QA Data Plane depending on the Operating System and libraries being used by the user to process the data.    Additionally, Climatology, which is one of the inputs for Ozone and Moisture, Temperature and Pressures (MTP) will be removed from the Earthdata Order Form.  It has been observed that PGEs generated with Climatology as an input yield noticeable differences statistically during image and spectral analysis.  Climatology will continue to be used as the final default if neither of the first two selectable options are available for Ozone and MTP.  Users can check the OPERATIONALQUALITYFLAGEXPLANATION field in the metadata or the output file for atmospheric parameters that were applied.    Aura OMI data are no longer available as an input for ASTER Level 2 data acquisitions after October 6, 2023. For data acquired after this date, ozone inputs will automatically fall back to climatology ozone inputs when Aura OMI is selected as an input. For more details, please refer to the Discontinuation of Aura OMI as an Input news announcement (https://lpdaac.usgs.gov/news/discontinuation-of-aura-omi-as-an-ancillary-ozone-input-for-aster-products/)."	not-provided
AST_L1A.v003	ASTER L1A Reconstructed Unprocessed Instrument Data V003	LPDAAC_ECS	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C14758250-LPDAAC_ECS.json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level 1A (AST_L1A) contains reconstructed, instrument digital numbers (DNs) derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). Additionally, geometric correction coefficients and radiometric calibration coefficients are calculated and appended to the metadata, but not applied. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present.     Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.    Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.  	not-provided
AST_L1AE.v003	ASTER Expedited L1A Reconstructed Unprocessed Instrument Data V003	LPDAAC_ECS	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179460405-LPDAAC_ECS.json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1A Reconstructed Unprocessed Instrument Data (AST_L1AE) global product contains reconstructed, unprocessed instrument digital data derived from the acquired telemetry streams of the telescopes: Visible and Near Infrared (VNIR), Shortwave Infrared (SWIR), and Thermal Infrared (TIR). This data product is similar to the (AST_L1A) (http://doi.org/10.5067/ASTER/AST_L1A.003) with a few notable exceptions. These include:  * The AST_L1AE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments.  * The registration quality of the AST_L1AE is likely to be lower than the AST_L1A, and may vary from scene to scene.  * The AST_L1AE data product does not contain the VNIR 3B (aft-viewing) Band.  * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor.  * The AST_L1AE data product is only available for download 30 days after acquisition. It is then removed and reprocessed into an AST_L1A product.	not-provided
AST_L1B.v003	ASTER L1B Registered Radiance at the Sensor V003	LPDAAC_ECS	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C190733714-LPDAAC_ECS.json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Level-1B (AST_L1B) Registered Radiance at the Sensor data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The spatial resolution is 15 m (VNIR), 30 m (SWIR), and 90 m (TIR) with a temporal coverage of 2000 to present.     Starting June 23, 2021, radiometric calibration coefficient Version 5 (RCC V5) will be applied to newly observed ASTER data and archived ASTER data products. Details regarding RCC V5 are described in the following journal article.    Tsuchida, S., Yamamoto, H., Kouyama, T., Obata, K., Sakuma, F., Tachikawa, T., Kamei, A., Arai, K., Czapla-Myers, J.S., Biggar, S.F., and Thome, K.J., 2020, Radiometric Degradation Curves for the ASTER VNIR Processing Using Vicarious and Lunar Calibrations: Remote Sensing, v. 12, no. 3, at https://doi.org/10.3390/rs12030427.  	not-provided
AST_L1BE.v003	ASTER Expedited L1B Registered Radiance at the Sensor V003	LPDAAC_ECS	2000-03-04		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179460406-LPDAAC_ECS.json	The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Expedited Level 1B Registered Radiance at the Sensor global data product is radiometrically calibrated and geometrically co-registered. Application of intra-telescope and inter-telescope registration corrections for all bands are relative to the reference band for each telescope: Visible  and Near Infrared (VNIR) Band 2, Shortwave Infrared (SWIR) Band 6, and Thermal Infrared (TIR) Band 11. The Expedited Level 1B data product is similar to the (AST_L1B) (https://doi.org/10.5067/ASTER/AST_L1B.003) with a few notable exceptions. These include:  * The AST_L1BE is available for download within 48 hours of acquisition in support of field calibration and validation efforts, in addition to emergency response for natural disasters where the quick turn-around time from acquisition to availability would prove beneficial in initial damage or impact assessments.  * The registration quality of the AST_L1BE is likely to be lower than the AST_L1B, and may vary from scene to scene.  * The AST_L1BE dataset does not contain the VNIR 3B (aft-viewing) Band.  * This dataset does not have short-term calibration for the Thermal Infrared (TIR) sensor.	not-provided
ATL02.v006	ATLAS/ICESat-2 L1B Converted Telemetry Data V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2547589158-NSIDC_CPRD.json	This data set (ATL02) contains science-unit-converted time-ordered telemetry data, calibrated for instrument effects, downlinked from the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The data are used by the ATLAS/ICESat-2 Science Investigator-led Processing System (SIPS) for system-level, quality control analysis and as source data for ATLAS/ICESat-2 Level-2 products and Precision Orbit Determination (POD) and Precision Pointing Determination (PPD) computations.	not-provided
ATL03.v006	ATLAS/ICESat-2 L2A Global Geolocated Photon Data V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2596864127-NSIDC_CPRD.json	This data set (ATL03) contains height above the WGS 84 ellipsoid (ITRF2014 reference frame), latitude, longitude, and time for all photons downlinked by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory. The ATL03 product was designed to be a single source for all photon data and ancillary information needed by higher-level ATLAS/ICESat-2 products. As such, it also includes spacecraft and instrument parameters and ancillary data not explicitly required for ATL03.	not-provided
ATL04.v006	ATLAS/ICESat-2 L2A Normalized Relative Backscatter Profiles V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553327-NSIDC_CPRD.json	ATL04 contains along-track normalized relative backscatter profiles of the atmosphere. The product includes full 532 nm (14 km) uncalibrated attenuated backscatter profiles at 25 times per second for vertical bins of approximately 30 meters. Calibration coefficient values derived from data within the polar regions are also included. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL06.v006	ATLAS/ICESat-2 L3A Land Ice Height V006	NSIDC_CPRD	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2670138092-NSIDC_CPRD.json	This data set (ATL06) provides geolocated, land-ice surface heights (above the WGS 84 ellipsoid, ITRF2014 reference frame), plus ancillary parameters that can be used to interpret and assess the quality of the height estimates. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL07.v006	ATLAS/ICESat-2 L3A Sea Ice Height V006	NSIDC_CPRD	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2713030505-NSIDC_CPRD.json	The data set (ATL07) contains along-track heights for sea ice and open water leads (at varying length scales) relative to the WGS84 ellipsoid (ITRF2014 reference frame) after adjustment for geoidal and tidal variations, and inverted barometer effects. Height statistics and apparent reflectance are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL08.v006	ATLAS/ICESat-2 L3A Land and Vegetation Height V006	NSIDC_CPRD	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553260-NSIDC_CPRD.json	This data set (ATL08) contains along-track heights above the WGS84 ellipsoid (ITRF2014 reference frame) for the ground and canopy surfaces. The canopy and ground surfaces are processed in fixed 100 m data segments, which typically contain more than 100 signal photons. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL09.v006	ATLAS/ICESat-2 L3A Calibrated Backscatter Profiles and Atmospheric Layer Characteristics V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2649212495-NSIDC_CPRD.json	This data set (ATL09) contains calibrated, attenuated backscatter profiles, layer integrated attenuated backscatter, and other parameters including cloud layer height and atmospheric characteristics obtained from the data. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL10.v006	ATLAS/ICESat-2 L3A Sea Ice Freeboard V006	NSIDC_CPRD	2018-10-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553243-NSIDC_CPRD.json	This data set (ATL10) contains estimates of sea ice freeboard, calculated using three different approaches. Sea ice leads used to establish the reference sea surface and descriptive statistics used in the height estimates are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL12.v006	ATLAS/ICESat-2 L3A Ocean Surface Height V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2613553216-NSIDC_CPRD.json	This data set (ATL12) contains along-track sea surface height of the global open ocean, including the ice-free seasonal ice zone and near-coast regions. Estimates of height distributions, significant wave height, sea state bias, and 10 m heights are also provided. The data were acquired by the Advanced Topographic Laser Altimeter System (ATLAS) instrument on board the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) observatory.	not-provided
ATL13.v006	ATLAS/ICESat-2 L3A Along Track Inland Surface Water Data V006	NSIDC_CPRD	2018-10-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2684928243-NSIDC_CPRD.json	This data set (ATL13) contains along-track surface water products for inland water bodies. Inland water bodies include lakes, reservoirs, rivers, bays, estuaries and a 7km near-shore buffer. Principal data products include the along-track water surface height and standard deviation, subsurface signal (532 nm) attenuation, significant wave height, wind speed, and coarse depth to bottom topography (where data permit).	not-provided
ATSMIGEO.v002	MISR Geometric Parameters subset for the ARCTAS region V002	LARC	2008-04-02	2008-07-24	-157, 54, -110, 71	https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-LARC.json	This file contains the Geometric Parameters subset for the ARCTAS region which measures the sun and view angles at the reference ellipsoid	not-provided
AU_DySno_NRT_R02.v2	NRT AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V2	LANCEAMSR2	2021-04-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2052622563-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.  Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The NRT AMSR2 Unified L3 Global Daily Snow Water Equivalent data set contains snow water equivalent (SWE) data and quality assurance flags mapped to Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids).  Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/daysnow/.  If data latency is not a primary concern, please consider using science quality products.  Science products are created using the best available ancillary, calibration and ephemeris information.  Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.	not-provided
AU_Land_NRT_R02.v2	NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture Beta V2	LANCEAMSR2	2018-04-11		-180, -89.24, 180, 89.24	https://cmr.earthdata.nasa.gov/search/concepts/C1514684539-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.  Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The GCOM-W1 NRT AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture product is a daily measurement of surface soil moisture produced by two retrieval algorithms using resampled Tb (Level-1R) data provided by JAXA: the Normalized Polarization Difference (NPD) algorithm developed by JPL and the Single Channel Algorithm (SCA) developed by USDA.  Ancillary data include time, geolocation, and quality assessment.  Data are stored in HDF-EOS5 and netCDF4 formats and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/land/.  If data latency is not a primary concern, please consider using science quality products.  Science products are created using the best available ancillary, calibration and ephemeris information.  Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.  The AMSR SIPS produces AMSR2 standard science quality data products and they are available at the NSIDC DAAC.  Note:  This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS.  With this beta release, we are generating NRT products in both HDF-EOS5 and netCDF with CF metadata. Version 2 corrects these issues from the previous release: a boundary condition error that resulted in the failure of a small number of version 1 product files and an error in the number of low resolution scans processed which caused only the first half of each scan to be processed.	not-provided
AU_Ocean.v1	AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products V001	NSIDC_ECS	2002-06-01		-180, -89.24, 180, 89.24	https://cmr.earthdata.nasa.gov/search/concepts/C2176472016-NSIDC_ECS.json	This AMSR Unified global ocean data set reports integrated water vapor and cloud liquid water content in the atmospheric column, plus 10-meter sea surface wind speeds. The data are derived from AMSR-E  and AMSR2  brightness temperature observations that have been resampled by the Japan Aerospace Exploration Agency (JAXA) to facilitate an intercalibrated (i.e., “unified”) AMSR-E/AMSR2 data record. Ancillary files, including product history, quality assessment (QA), and file-specific metadata are also available.	not-provided
AU_Ocean_NRT_R01.v1	NRT AMSR2 Unified L2B Global Swath Ocean Products V1	LANCEAMSR2	2020-06-01		-180, -89, 180, 89	https://cmr.earthdata.nasa.gov/search/concepts/C1841273046-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.  Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The GCOM-W1 NRT AMSR2 Unified L2B Global Swath Ocean Products is a swath product containing global sea surface temperature over ocean, wind speed over ocean, water vapor over ocean and cloud liquid water over ocean, using resampled NRT Level-1R data provided by JAXA.  This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/ocean/.  If data latency is not a primary concern, please consider using science quality products.  Science products are created using the best available ancillary, calibration and ephemeris information.  Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.  The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC.	not-provided
AU_Rain.v1	AMSR-E/AMSR2 Unified L2B Global Swath Surface Precipitation V001	NSIDC_ECS	2002-06-01		-180, -89.24, 180, 89.24	https://cmr.earthdata.nasa.gov/search/concepts/C1708620364-NSIDC_ECS.json	This AMSR-E/AMSR2 Unified Level-2B data set reports instantaneous surface precipitation rates and types (over land and ocean) and precipitation profiles (over ocean). The data are derived by applying the AMSR-E/AMSR2 unified algorithm to L1R data obtained by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments.	not-provided
AU_Rain_NRT_R02.v2	NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm V2	LANCEAMSR2	2021-10-01		-180, -89, 180, 89	https://cmr.earthdata.nasa.gov/search/concepts/C2152626500-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.  Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The GCOM-W1 NRT AMSR2 Unified Global Swath Surface Precipitation GSFC Profiling Algorithm is a swath product containing global rain rate and type, calculated by the GPROF 2017 V2R rainfall retrieval algorithm using resampled NRT Level-1R data provided by JAXA. This is the same algorithm that generates the corresponding standard science products in the AMSR SIPS. The NRT products are generated in HDF-EOS-5 augmented with netCDF-4/CF metadata and are available via HTTPS from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level2/rain/.  If data latency is not a primary concern, please consider using science quality products.  Science products are created using the best available ancillary, calibration and ephemeris information.  Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science.  The AMSR SIPS produces AMSR2 standard science quality data products, and they are available at the NSIDC DAAC.	not-provided
AU_SI12_NRT_R04.v4	NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration V4	LANCEAMSR2	2020-06-29		-180, -89, 180, 89	https://cmr.earthdata.nasa.gov/search/concepts/C1886605827-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The NRT AMSR2 Unified L3 Daily 12.5 km Brightness Temperature & Sea Ice Concentration, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA).  The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC.  This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 12.5 km spatial resolution. Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice12.  If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/	not-provided
AU_SI25_NRT_R04.v4	NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids V4	LANCEAMSR2	2020-06-29		-180, -89, 180, 89	https://cmr.earthdata.nasa.gov/search/concepts/C1886605830-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The NRT AMSR2 Unified L3 Daily 25 km Brightness Temperature & Sea Ice Concentration Polar Grids, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA).  The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC.  This Level-3 gridded product includes brightness temperatures at 6.9 through 89.0 GHz and sea ice concentrations.  Data are mapped to a polar stereographic grid at 25 km spatial resolution.   Sea ice concentration and brightness temperatures include daily ascending averages, daily descending averages, and daily averages. Data are stored in HDF-EOS5 format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice25.  If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/	not-provided
AU_SI6_NRT_R04.v4	NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures V4	LANCEAMSR2	2020-06-29		-180, -89, 180, 89	https://cmr.earthdata.nasa.gov/search/concepts/C1886605828-LANCEAMSR2.json	The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles. Near real-time (NRT) products are generated within 3 hours of the last observations in the file, by the Land Atmosphere Near real-time Capability for EOS (LANCE) at the AMSR Science Investigator-led Processing System (AMSR SIPS), which is collocated with the Global Hydrology Resource Center (GHRC) DAAC.  The NRT AMSR2 Unified L3 Daily 6.25 km Polar Gridded 89 GHz Brightness Temperatures, Version 4 uses as input the resampled brightness temperature (Level-1R) data provided by the Japanese Aerospace Exploration Agency (JAXA).  The Version 4 dataset uses the AMSR-U2 product generation algorithm with slight modifications for NRT product generation, same algorithm used to generation the standard, science quality, data that is available at the NSIDC DAAC.  This Level-3 gridded product includes brightness temperatures at 89.0 GHz. Data are mapped to a polar stereographic grid at 6.25 km spatial resolution. This product is an intermediate product during processing of LANCE AMSR2 Level-3 sea ice products at 12.5 km and 25 km resolution. Data are stored in HDF-EOS5/netCDF-CF  format and are available via HTTP from the EOSDIS LANCE system at https://lance.nsstc.nasa.gov/amsr2-science/data/level3/seaice6.  If data latency is not a primary concern, please consider using science quality products. Science products are created using the best available ancillary, calibration and ephemeris information. Science quality products are an internally consistent, well-calibrated record of the Earth's geophysical properties to support science. These standard product, science quality, are available at the NSIDC DAAC: https://nsidc.org/	not-provided
AVHRR_GLOBAL_10-DAY_COMPOSITES	AVHRR 1-km Global Land 10-Day Composites	USGS_LTA	1992-04-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220566288-USGS_LTA.json	The Advanced Very High Resolution Radiometer (AVHRR) 1-km Global  Land  10-Day Composites data set project is a component of the National Aeronautics and Space Administration (NASA) AVHRR Pathfinder  Program. The project is a collaborative effort between the National Oceanic  and Atmospheric Administration (NOAA), NASA, the U.S. Geological Survey  (USGS), the European Space Agency (ESA), Australia's Commonwealth Scientific and Industrial Research Organization (CSIRO), and 30 international ground receiving stations.  The project represents an international effort to archive and distribute the 1-km AVHRR composites of the entire global land surface to scientific  researchers and to the general public.  The data set is comprised of a time series of global 10-day normalized difference vegetation index composites.  The composites are generated from radiometrically calibrated, atmospherically corrected, and geometrically corrected daily AVHRR observations. The time series begins in April 1992 and continues for specific time periods.	not-provided
AVHRR_ORBITAL_SEGMENTS	AVHRR 1-km Orbital Segments	USGS_LTA	1992-04-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220566340-USGS_LTA.json	       The Advanced Very High Resolution Radiometer (AVHRR) 1-km Orbital        Segments data set is a component of the National Aeronautics and        Space Administration (NASA) AVHRR Pathfinder Program and contains        global coverage of land masses at 1-kilometer resolution.         The data set is the result of an international effort to acquire,        process, and distribute AVHRR data of the entire global land surface        to meet the needs of the international science community.  The         orbital segments are comprised of raw AVHRR scenes consisting of        5-channel, 10-bit, AVHRR data at 1.1-km resolution at nadir.  The raw        data are used to produce vegetation index composites; to support fire         detection and cloud screening activities; to support research in        atmospheric correction; to develop algorithms; and to support a host of        research activities that may require the inclusion of raw AVHRR data. 	not-provided
Active_Fluorescence_2001.v0	Active fluorescence measurements in the Gulf Stream in 2001	OB_DAAC	2001-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360093-OB_DAAC.json	Measurements in the Gulf Stream off the East Coast of the US in 2001	not-provided
AgriFieldNet Competition Dataset.v1	AgriFieldNet Competition Dataset	MLHUB	2020-01-01	2023-01-01	76.2448319, 18.9414403, 88.0460054, 28.3269976	https://cmr.earthdata.nasa.gov/search/concepts/C2781412563-MLHUB.json	This dataset contains crop types of agricultural fields in four states of Uttar Pradesh, Rajasthan, Odisha and Bihar in northern India. There are 13 different classes in the dataset including Fallow land and 12 crop types of Wheat, Mustard, Lentil, Green pea, Sugarcane, Garlic, Maize, Gram, Coriander, Potato, Bersem, and Rice. The dataset is split to train and test collections as part of the AgriFieldNet India Competition. Ground reference data for this dataset is collected by IDinsight’s [Data on Demand](https://www.idinsight.org/services/data-on-demand/) team. Radiant Earth Foundation carried out the training dataset curation and publication. This training dataset is generated through a grant from the Enabling Crop Analytics at Scale ([ECAAS](https://cropanalytics.net/)) Initiative funded by [The Bill & Melinda Gates Foundation](https://www.gatesfoundation.org/) and implemented by [Tetra Tech](https://www.tetratech.com/).	not-provided
BigEarthNet.v1	BigEarthNet	MLHUB	2020-01-01	2023-01-01	-9.0002335, 36.9569567, 31.5984391, 68.021682	https://cmr.earthdata.nasa.gov/search/concepts/C2781412035-MLHUB.json	BigEarthNet is a new large-scale Sentinel-2 benchmark archive, consisting of 590,326 Sentinel-2 image patches. To construct BigEarthNet, 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 countries (Austria, Belgium, Finland, Ireland, Kosovo, Lithuania, Luxembourg, Portugal, Serbia, Switzerland) of Europe were initially selected. All the tiles were atmospherically corrected by the Sentinel-2 Level 2A product generation and formatting tool (sen2cor). Then, they were divided into 590,326 non-overlapping image patches. Each image patch was annotated by the multiple land-cover classes (i.e., multi-labels) that were provided from the CORINE Land Cover database of the year 2018 (CLC 2018).	not-provided
C1_PANA_STUC00GTD.v1	Cartosat-1 PANA Standard Products	ISRO	2005-08-05		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1293271378-ISRO.json	This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc.  Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit  products.	not-provided
C1_PANF_STUC00GTD.v1	Cartosat-1 PANF Standard Products	ISRO	2005-08-05		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1293271427-ISRO.json	This is High resolution satellite carries two PAN sensors with 2.5m resolution and fore-aft stereo capability. The payload is designed to cater to applications in cartography, terrain modeling, cadastral mapping etc.  Standard products are full scene (path-row) based geo-referenced as well as geo-orthokit  products.	not-provided
CDDIS MEASURES products strain rate grids.v1	CDDIS SESES MEaSUREs products strain rate grids	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2978524117-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.	not-provided
CDDIS MEaSURES products velocities.v1	CDDIS SESES MEaSUREs products velocities	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2978562718-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.	not-provided
CDDIS_GNSS_products_IGS20.v1	CDDIS GNSS ITRF2020 IGS products (IGS20)	CDDIS	1983-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2433571719-CDDIS.json	These data-derived products are the International GNSS Service (IGS) Analysis Centers' (AC) contribution to the International Terrestrial Reference Frame (ITRF) 2020.	not-provided
CDDIS_MEASURES_products_coseismic_offsets.v1	CDDIS SESES MEaSUREs products weekly coseismic offset time series	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2042454001-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.	not-provided
CDDIS_MEASURES_products_daily_time_series.v1	CDDIS SESES MEaSUREs products daily GNSS geodetic displacement time series	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000081-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are daily geodetic displacement time series (compressed). They are combined, cleaned and filtered, GIPSY-GAMIT long-term time series of Continuous Global Navigation Satellite System (CGNSS) station positions (global and regional) in the latest version of ITRF  	not-provided
CDDIS_MEASURES_products_daily_tropo_delay.v1	CDDIS SESES MEaSUREs GNSS products daily tropospheric delay	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2042454082-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These GNSS data products are long-term time series of troposphere delay (5-minute resolution) at geodetic stations, necessarily estimated during position time series production.    	not-provided
CDDIS_MEASURES_products_discplacement_grids.v1	CDDIS SESES MEaSUREs products weekly displacement grids time series	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2042454029-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. 	not-provided
CDDIS_MEASURES_products_earthquake_displacement.v1	CDDIS SESES MEaSUREs products highrate earthquake displacement	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2043197582-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These products consist of high-rate displacements at a rate of 1 sample per second or greater. They are used to measure the ground motions when an earthquake occurs.	not-provided
CDDIS_MEASURES_products_transients.v1	CDDIS SESES MEaSUREs products plate boundary aseismic transient deformation	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2042416028-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products catalog plate boundary aseismic transient deformation with focus in Cascadia, cataloging and parameterizing transient deformation in tectonically active areas known for aseismic transient motion such as episodic tremor and slip (ETS), first discovered in Japan and Cascadia.  	not-provided
CDDIS_MEASURES_products_water_storage.v1	CDDIS SESES MEaSUREs products total water storage time series	CDDIS	1992-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2042453960-CDDIS.json	Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are grids of changes in total water storage over the continental U.S.; continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.  	not-provided
CEAMARC_CASO_200708030_EVENT_BATHYMETRY_PLOTS.v1	2007-08 V3 CEAMARC-CASO Bathymetry Plots Over Time During Events	AU_AADC	2007-12-17	2008-01-26	139.01488, -67.07104, 150.06479, -42.88246	https://cmr.earthdata.nasa.gov/search/concepts/C1214308504-AU_AADC.json	A routine was developed in R ('bathy_plots.R') to plot bathymetry data over time during individual CEAMARC events.  This is so we can analyse benthic data in relation to habitat, ie. did we trawl over a slope or was the sea floor relatively flat.  Note that the depth range in the plots is autoscaled to the data, so a small range in depths appears as a scatetring of points.  As long as you look at the depth scale though interpretation will be ok.  The R files need a file of bathymetry data in '200708V3_one_minute.csv' which is a file containing a data export from the underway PostgreSQL ship database and 'events.csv' which is a stripped down version of the events export from the ship board events database export.  If you wish to run the code again you may need to change the pathnames in the R script to relevant locations.  If you have opened the csv files in excel at any stage and the R script gets an error you may need to format the date/time columns as yyyy-mm-dd hh;mm:ss, save and close the file as csv without opening it again and then run the R script.  However, all output files are here for every CEAMARC event.  Filenames contain a reference to CEAMARC event id.  Files are in eps format and can be viewed using Ghostview which is available as a free download on the internet.	not-provided
CEOS_CalVal_Test_Sites-Algeria3	CEOS Cal Val Test Site - Algeria 3 - Pseudo-Invariant Calibration Site (PICS)	USGS_LTA	1972-08-11		5.22, 29.09, 10.01, 31.36	https://cmr.earthdata.nasa.gov/search/concepts/C1220567099-USGS_LTA.json	On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols and guidelines for these purposes:  Background:  Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities. Requirement:  Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.  Pseudo-Invariant Calibration Sites (PICS): Algeria 3 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments.	not-provided
CH-OG-1-GPS-10S.v0.0	10 sec GPS ground tracking data	SCIOPS	2001-05-28		-63.51, -45.69, 170.42, 78.87	https://cmr.earthdata.nasa.gov/search/concepts/C1214586614-SCIOPS.json	This data set comprises GPS ground data of a sample rate of 10 sec, generated       by decoding and sampling GPS high  rate ground data. This raw data passed no       quality control. The data are given in the Rinex 2.1 format.	not-provided
CIESIN_SEDAC_EPI_2008.v2008.00	2008 Environmental Performance Index (EPI)	SEDAC	1994-01-01	2007-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179001707-SEDAC.json	The 2008 Environmental Performance Index (EPI) centers on two broad environmental protection objectives: (1) reducing environmental stresses on human health, and (2) promoting ecosystem vitality and sound natural resource management. Derived from a careful review of the environmental literature, these twin goals mirror the priorities expressed by policymakers. Environmental health and ecosystem vitality are gauged using 25 indicators tracked in six well-established policy categories: Environmental Health (Environmental Burden of Disease, Water, and Air Pollution), Air Pollution (effects on ecosystems), Water (effects on ecosystems), Biodiversity and Habitat, Productive Natural Resources (Forestry, Fisheries, and Agriculture), and Climate Change. The 2008 EPI utilizes a proximity-to-target methodology in which performance on each indicator is rated on a 0 to 100 scale (100 represents �at target�). By identifying specific targets and measuring how close each country comes to them, the EPI provides a foundation for policy analysis and a context for evaluating performance. Issue-by-issue and aggregate rankings facilitate cross-country comparisons both globally and within relevant peer groups. The 2008 EPI is the result of collaboration among the Yale Center for Environmental Law and Policy (YCELP), Columbia University Center for International Earth Science Information Network (CIESIN), World Economic Forum (WEF), and the Joint Research Centre (JRC), European Commission.	not-provided
CIESIN_SEDAC_EPI_2010.v2010.00	2010 Environmental Performance Index (EPI)	SEDAC	1994-01-01	2009-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179002147-SEDAC.json	The 2010 Environmental Performance Index (EPI) ranks 163 countries on environmental performance based on twenty-five indicators grouped within ten core policy categories addressing environmental health, air quality, water resource management, biodiversity and habitat, forestry, fisheries, agriculture, and climate change in the context of two broad objectives: environmental health and ecosystem vitality. The EPI�s proximity-to-target methodology facilitates cross-country comparisons  among economic and regional peer groups. It was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 28, 2010. The 2010 EPI is the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN).	not-provided
CIESIN_SEDAC_EPI_2012.v2012.00	2012 Environmental Performance Index and Pilot Trend Environmental Performance Index	SEDAC	2000-01-01	2010-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000000-SEDAC.json	The 2012 Environmental Performance Index (EPI) ranks 132 countries on 22 performance indicators in the following 10 policy categories:  environmental burden of disease, water (effects on human health), air pollution (effects on human health), air pollution (ecosystem effects), water resources (ecosystem effects), biodiversity and habitat, forestry, fisheries, agriculture and climate change. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. Each indicator has an associated environmental public health or ecosystem sustainability target. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups.      The Pilot Trend Environmental Performance Index (Trend EPI) ranks countries on the change in their environmental performance over the last decade. As a complement to the EPI, the Trend EPI shows who is improving and who is declining over time.       The 2012 EPI and Pilot Trend EPI were formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 27, 2012. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2012 EPI is at http://epi.yale.edu/.	not-provided
CIESIN_SEDAC_EPI_2014.v2014.00	2014 Environmental Performance Index (EPI)	SEDAC	2002-01-01	2014-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000541-SEDAC.json	The 2014 Environmental Performance Index (EPI) ranks 178 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2014 EPI and component scores, backcast EPI scores for 2002-2012, and time-series source data. The 2014 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 25, 2014. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN). The Interactive Website for the 2014 EPI is at http://epi.yale.edu/.	not-provided
CIESIN_SEDAC_EPI_2016.v2016.00	2016 Environmental Performance Index (EPI)	SEDAC	1950-01-01	2016-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1419908204-SEDAC.json	The 2016 Environmental Performance Index (EPI) ranks 180 countries on 20 performance indicators in the following 9 policy categories: health impacts, air quality, water and sanitation, water resources, agriculture, forests, fisheries, biodiversity and habitat, and climate and energy. These categories track performance and progress on two broad policy objectives, environmental health and ecosystem vitality. The EPI's proximity-to-target methodology facilitates cross-country comparisons among economic and regional peer groups. The data set includes the 2016 EPI and component scores, backcast EPI scores for 1950-2016, and time-series source data. The 2016 EPI was formally released in Davos, Switzerland, at the annual meeting of the World Economic Forum on January 23, 2016. These are the result of collaboration between the Yale Center for Environmental Law and Policy (YCELP) and Yale Data-Driven Environmental Solutions Group, Yale University, Columbia University Center for International Earth Science Information Network (CIESIN), and the World Economic Forum (WEF). The Interactive Website for the 2016 EPI is at https://epi.yale.edu.	not-provided
CIESIN_SEDAC_ESI_2000.v2000.00	2000 Pilot Environmental Sustainability Index (ESI)	SEDAC	1978-01-01	1999-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179001887-SEDAC.json	The 2000 Pilot Environmental Sustainability Index (ESI) is an exploratory effort to construct an index that measures the ability of a nation's economy to achieve sustainable development, with the long term goal of finding a single indicator for environmental sustainability analagous to that of the Gross Domestic Product (GDP). The index covering 56 countries is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The index was unveiled at the World Economic Forum's annual meeting, January 2000, Davos, Switzerland. The 2000 Pilot ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).	not-provided
CIESIN_SEDAC_ESI_2001.v2001.00	2001 Environmental Sustainability Index (ESI)	SEDAC	1980-01-01	2000-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000220-SEDAC.json	The 2001 Environmental Sustainability Index (ESI) utilizes a refined methodology based on the 2000 Pilot ESI effort, to construct an index covering 122 countries that measures the overall progress towards environmental sustainability. The index is a composite measure of the current status of a nation's environmental systems, pressures on those systems, human vulnerability to environmental change, national capacity to respond, and contributions to global environmental stewardship. The refinements included the addition and deletion of indicators, filling gaps in data coverage, new data sets, and the modification of the aggregation scheme. The index was unveiled at the World Economic Forum's annual meeting, January 2001, Davos, Switzerland. The 2001 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).	not-provided
CIESIN_SEDAC_ESI_2002.v2002.00	2002 Environmental Sustainability Index (ESI)	SEDAC	1980-01-01	2000-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179001967-SEDAC.json	The 2002 Environmental Sustainability Index (ESI) measures overall progress toward environmental sustainability for 142 countries based on  environmental systems, stresses, human vulnerability, social and institutional capacity and global stewardship. The addition of a climate change indicator, reduction in number of capacity indicators, and  an improved imputation methodology contributed to an improvement from the 2001 ESI. The index was unveiled at the World Economic Forum's annual meeting, January 2002, New York. The 2002 ESI is the result of collaboration among the World Economic Forum (WEF), Yale Center for Environmental Law and Policy (YCELP), and the Columbia University Center for International Earth Science Information Network (CIESIN).	not-provided
CIESIN_SEDAC_ESI_2005.v2005.00	2005 Environmental Sustainability Index (ESI)	SEDAC	1980-01-01	2000-12-31	-180, -55, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179001889-SEDAC.json	The 2005 Environmental Sustainability Index (ESI) is a measure of overall progress towards environmental sustainability, developed for 146 countries.  The index provides a composite profile of national environmental stewardship based on a compilation of 21 indicators derived from 76 underlying data sets. The 2005 version of the ESI represents a significant update and improvement on earlier versions; the country ESI scores or rankings should not be compared to earlier versions because of changes to the methodology and underlying data. The index was unveiled at the World Economic Forum's annual meeting, January 2005, Davos, Switzerland. The 2005 ESI is a joint product of the Yale Center for Environmental Law and Policy (YCELP) and the Columbia University Center for International Earth Science Information Network (CIESIN), in collaboration with the World Economic Forum (WEF) and the Joint Research Centre (JRC), European Commission.	not-provided
CIESIN_SEDAC_USPAT_USUEXT2015.v1.00	2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods	SEDAC	2015-01-01	2015-12-31	-180, -56, 180, 84	https://cmr.earthdata.nasa.gov/search/concepts/C1648035940-SEDAC.json	The 2015 Urban Extents from VIIRS and MODIS for the Continental U.S. Using Machine Learning Methods data set models urban settlements in the Continental United States (CONUS) as of 2015. When applied to the combination of daytime spectral and nighttime lights satellite data, the machine learning methods achieved high accuracy at an intermediate-resolution of 500 meters at large spatial scales. The input data for these models were two types of satellite imagery: Visible Infrared Imaging Radiometer Suite (VIIRS) Nighttime Light (NTL) data from the Day/Night Band (DNB), and Moderate Resolution Imaging Spectroradiometer (MODIS) corrected daytime Normalized Difference Vegetation Index (NDVI). Although several machine learning methods were evaluated, including Random Forest (RF), Gradient Boosting Machine (GBM), Neural Network (NN), and the Ensemble of RF, GBM, and NN (ESB), the highest accuracy results were achieved with NN, and those results were used to delineate the urban extents in this data set.	not-provided
CLDMSK_L2_VIIRS_NOAA20_NRT.v1	VIIRS/NOAA-20 Cloud Mask L2 6-Min Swath 750m (NRT)	ASIPS	2020-10-08		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2003160566-ASIPS.json	The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_NOAA20_NRT is the shortname for the NOAA-20 VIIRS Near Real-time incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the NOAA-20 VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the NOAA-20 VIIRS L2 Cloud mask is 750 meters.	not-provided
CLDMSK_L2_VIIRS_SNPP_NRT.v1	VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT)	ASIPS	2019-04-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1607563719-ASIPS.json	The Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) NASA Level-2 (L2) Cloud Mask is one of two continuity products designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDMSK_L2_VIIRS_SNPP is the shortname for the SNPP VIIRS incarnation of the Cloud Mask continuity product derived from the MODIS-VIIRS cloud mask (MVCM) algorithm, which itself is based on the MODIS (MOD35) algorithm. MVCM describes a continuity algorithm that is central to both MODIS data (from Terra and Aqua missions) and VIIRS data (from SNPP and Joint Polar Satellite System missions). Please bear in mind that the term MVCM does not appear as an attribute within the product’s metadata. Implemented to consistently handle MODIS and VIIRS inputs, the SNPP VIIRS collection-1 products use calibration-adjusted NASA VIIRS L1B as inputs. The nominal spatial resolution of the SNPP VIIRS L2 Cloud mask is 750 meters.	not-provided
CSU Synthetic Attribution Benchmark Dataset.v1	CSU Synthetic Attribution Benchmark Dataset	MLHUB	2020-01-01	2023-01-01	-179.5, -89.5, 179.5, 89.5	https://cmr.earthdata.nasa.gov/search/concepts/C2781411899-MLHUB.json	This is a synthetic dataset that can be used by users that are interested in benchmarking methods of explainable artificial intelligence (XAI) for geoscientific applications. The dataset is specifically inspired from a climate forecasting setting (seasonal timescales) where the task is to predict regional climate variability given global climate information lagged in time. The dataset consists of a synthetic input X (series of 2D arrays of random fields drawn from a multivariate normal distribution) and a synthetic output Y (scalar series) generated by using a nonlinear function F: R^d -> R.<br><br>The synthetic input aims to represent temporally independent realizations of anomalous global fields of sea surface temperature, the synthetic output series represents some type of regional climate variability that is of interest (temperature, precipitation totals, etc.) and the function F is a simplification of the climate system.<br><br>Since the nonlinear function F that is used to generate the output given the input is known, we also derive and provide the attribution of each output value to the corresponding input features. Using this synthetic dataset users can train any AI model to predict Y given X and then implement XAI methods to interpret it. Based on the “ground truth” of attribution of F the user can assess the faithfulness of any XAI method.<br><br>NOTE: the spatial configuration of the observations in the NetCDF database file conform to the planetocentric coordinate system (89.5N - 89.5S, 0.5E - 359.5E), where longitude is measured in the positive heading east from the prime meridian.	not-provided
CV4A Kenya Crop Type Competition.v1	CV4A Kenya Crop Type Competition	MLHUB	2020-01-01	2023-01-01	34.0220685, 0.1670219, 34.38443, 0.7160466	https://cmr.earthdata.nasa.gov/search/concepts/C2781412688-MLHUB.json	This dataset was produced as part of the [Crop Type Detection competition](https://zindi.africa/competitions/iclr-workshop-challenge-2-radiant-earth-computer-vision-for-crop-recognition) at the [Computer Vision for Agriculture (CV4A) Workshop](https://www.cv4gc.org/cv4a2020/) at the ICLR 2020 conference. The objective of the competition was to create a machine learning model to classify fields by crop type from images collected during the growing season by the Sentinel-2 satellites. <br><br> The ground reference data were collected by the PlantVillage team, and Radiant Earth Foundation curated the training dataset after inspecting and selecting more than 4,000 fields from the original ground reference data. The dataset has been split into training and test sets (3,286 in the train and 1,402 in the test). <br><br> The dataset is cataloged in four tiles. These tiles are smaller than the original Sentinel-2 tile that has been clipped and chipped to the geographical area that labels have been collected. <br><br> Each tile has a) 13 multi-band observations throughout the growing season. Each observation includes 12 bands from Sentinel-2 L2A product, and a cloud probability layer. The twelve bands are [B01, B02, B03, B04, B05, B06, B07, B08, B8A, B09, B11, B12]. The cloud probability layer is a product of the Sentinel-2 atmospheric correction algorithm (Sen2Cor) and provides an estimated cloud probability (0-100%) per pixel. All of the bands are mapped to a common 10 m spatial resolution grid.; b) A raster layer indicating the crop ID for the fields in the training set; and c) A raster layer indicating field IDs for the fields (both training and test sets). Fields with a crop ID of 0 are the test fields.	not-provided
CWIC_REG.v1.0	Radarsat-2 Scenes, Natural Resources Canada	CCMEO	2008-04-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2204659831-CCMEO.json	The collection represents browse images and metadata for systematically georeferenced Radarsat-2 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog http://neodf.nrcan.gc.ca OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery. The imaging frequency is C Band SAR : 5405.0000 MHz. RADARSAT-2 is in a polar, sun-synchronous orbit with a period of approximately 101 minutes. The RADARSAT-2 orbit will be maintained at +\/- 1 km in across track direction. This orbit maintenance is suitable for InSAR data collection. The geo-location accuracy of RADARSAT-2 products varies with product type. It is currently estimated at +\/- 30 m for Standard beam products.  The revisit period for RADARSAT-2 depends on the beam mode, incidence angle and geographic location of the area of interest. In general, revisit is more frequent at the poles than the equator and the wider swath modes have higher revisit than t he narrow swath modes.	not-provided
CWIC_REG_RCM.v1.0	RCM (Radarsat Constellation Mission ) Products, Natural Resources Canada	CCMEO	2019-06-12	2026-06-12	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2204659595-CCMEO.json	The collection represents products and metadata for georeferenced Radarsat Constellation Mission ( RCM ) satellite scenes. Metadata discovery and product ordering is achieved using the online catalog https://www.eodms-sgdot.nrcan-rncan.gc.ca/index-en.html OR by using the CWIC OpenSearch OSDD : http://cwic.csiss.gmu.edu/cwicv1/discovery. 	not-provided
CWIC_REG_Radarsat-1.v1.0	Radarsat-1 Scenes, Natural Resources Canada	CCMEO	1996-01-11	2013-03-29	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2204658925-CCMEO.json	The collection represents browse images and metadata for systematically georeferenced Radarsat-1 Synthetic Aperture Radar(SAR) satellite scenes. The browse scenes are not geometrically enhanced using ground control points, but are systematically corrected using sensor parameters. Full resolution precision geocoded scenes(corrected using ground control points) which correspond to the browse images can be ordered from MacDonald Dettwiler and Associates Ltd., Vancouver, Canada. Metadata discovery is achieved using the online catalog https://neodf.nrcan.gc.ca/neodf_cat3 OR by using the CWIC OGC CSW service URL : http://cwic.csiss.gmu.edu/cwicv1/discovery.  Radarsat-1 operates at 5.3 GHz. (C-Band). It is in a sun-synchronous orbit. Image resolution is in the range 8-100 meters.	not-provided
Catlin_Arctic_Survey.v0	2011 R/V Catlin cruise in the Arctic Ocean	OB_DAAC	2011-03-17		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360181-OB_DAAC.json	Measurements made in the Arctic Ocean by the RV Catlin in 2011.	not-provided
Chesapeake Land Cover.v1	Chesapeake Land Cover	MLHUB	2020-01-01	2023-01-01	-80.8092703, 36.5643108, -74.2529408, 43.9973515	https://cmr.earthdata.nasa.gov/search/concepts/C2781412641-MLHUB.json	This dataset contains high-resolution aerial imagery from the USDA NAIP program, high-resolution land cover labels from the Chesapeake Conservancy, low-resolution land cover labels from the USGS NLCD 2011 dataset, low-resolution multi-spectral imagery from Landsat 8, and high-resolution building footprint masks from Microsoft Bing, formatted to accelerate machine learning research into land cover mapping. The Chesapeake Conservancy spent over 10 months and $1.3 million creating a consistent six-class land cover dataset covering the Chesapeake Bay watershed. While the purpose of the mapping effort by the Chesapeake Conservancy was to create land cover data to be used in conservation efforts, the same data can be used to train machine learning models that can be applied over even wider areas.	not-provided
Cloud to Street - Microsoft flood dataset.v1	Cloud to Street - Microsoft flood dataset	MLHUB	2020-01-01	2023-01-01	-96.631888, -25.250962, 141.118143, 48.745167	https://cmr.earthdata.nasa.gov/search/concepts/C2781412798-MLHUB.json	The C2S-MS Floods Dataset is a dataset of global flood events with labeled Sentinel-1 & Sentinel-2 pairs. There are 900 sets (1800 total) of near-coincident Sentinel-1 and Sentinel-2 chips (512 x 512 pixels) from 18 global flood events. Each chip contains a water label for both Sentinel-1 and Sentinel-2, as well as a cloud/cloud shadow mask for Sentinel-2. The dataset was constructed by Cloud to Street in collaboration with and funded by the Microsoft Planetary Computer team.	not-provided
DLG100K	1:100,000-scale Digital Line Graphs (DLG) from the U.S. Geological Survey	USGS_LTA	1987-06-19		-126, 24, -66, 49	https://cmr.earthdata.nasa.gov/search/concepts/C1220566434-USGS_LTA.json	Digital line graph (DLG) data are digital representations of cartographic information. DLG's of map features are converted to digital form from maps and related sources. Intermediate-scale DLG data are derived from USGS 1:100,000-scale 30- by 60-minute  quadrangle maps. If these maps are not available, Bureau of Land Management planimetric maps at a scale of 1: 100,000 are used. Intermediate-scale DLG's are sold in five categories: (1)  Public Land Survey System; (2) boundaries (3) transportation; (4)  hydrography; and (5) hypsography.  All DLG data distributed by the USGS are DLG - Level 3 (DLG-3), which means the data contain a full range of attribute codes, have full topological structuring, and have passed certain quality-control checks. 	not-provided
E06_OCM_GAC_STGO00GND.v1.0	EOS-06 OCM Global Area Coverage (GAC) - 1080m resolution Standard Products - Oceansat Series	ISRO	2023-04-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2866789316-ISRO.json	The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. This has global coverage for every 2 days and sun glint free data for every 13 days.	not-provided
E06_OCM_LAC_STGO00GND.v1.0	EOS-06 OCM Local Area Coverage (LAC) - 366m Resolution Standard Products - Oceansat Series	ISRO	2023-04-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2866790547-ISRO.json	The main objectives of E06 are to study surface winds and ocean surface strata, observation of chlorophyll concentrations, monitoring of phytoplankton blooms, study of atmospheric aerosols and suspended sediments in the water. 	not-provided
EARTH_LAND_USGS_AMES_AIR_PHOTOS	Aerial Photographs (from AMES Pilot Land Data System); USGS EDC, Sioux Falls	USGS_LTA	1970-01-01		-180, 20, -60, 50	https://cmr.earthdata.nasa.gov/search/concepts/C1220566371-USGS_LTA.json	"The aerial photography inventoried by the Pilot Land Data System  (PLDS) at NASA AMES Research Center has been transferred to the USGS EROS  Data Center.  The photos were obtained from cameras mounted on high and  medium altitude aircraft based at the NASA Ames Research Center.  Several  cameras with varying focal lengths, lenses and film formats are used, but  the Wild RC-10 camera with a focal length of 152 millimeters and a 9 by 9  inch film format is most common.  The positive transparencies are typically  used for ancillary ground checks in conjunctions with digital processing for  the same sites.  The aircraft flights, specifically requested by scientists  performing approved research, often simultaneously collect data using other  sensors on        board (e.g. Thematic Mapper Simulators (TMS) and Thermal Infrared  Multispectral Scanners).  High altitude color infrared photography is used  regularly by government agencies for such applications as crop yield forecasting,  timber inventory and defoliation assessment, water resource management,  land use surveys, water pollution monitoring, and natural disaster  assessment.  To order, specify the latitude and longitude of interest.  You will  then be given a list of photos available for that location.  In some cases,  ""flight books"" are available at EDC that describe the nature of the mission  during which the photos were taken and other attribute information.  The  customer service personnel have access to these books for those photo sets  for which the books exist."	not-provided
ECO_L2G_CLOUD.v002	ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m V002	LPCLOUD	2018-07-09		-180, -54, 180, 54	https://cmr.earthdata.nasa.gov/search/concepts/C2076113561-LPCLOUD.json	The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in figure 2 on the ECOSTRESS website(https://ecostress.jpl.nasa.gov/science).  The ECOSTRESS Gridded Cloud Mask Instantaneous L2 Global 70 m (ECO_L2G_CLOUD) Version 2 data product is derived using a single-channel Bayesian cloud threshold with a look-up-table (LUT) approach. The ECO_L2G_CLOUD product provides a cloud mask that can be used to determine cloud cover for accurate land surface temperature and evapotranspiration estimation. This data product is a gridded version of the ECO_L2_CLOUD Version 2 product that was resampled using nearest neighbor, projected to a globally snapped 0.0006° grid, and repackaged as the ECO_L2G_CLOUD Version 2 data product.  The ECO_L2G_CLOUD Version 2 data product contains two cloud mask layers: cloud confidence and final cloud mask. Information on how to interpret the cloud confidence and cloud mask layers is provided in Table 7 of the ECO_L2_CLOUD Version 2 User Guide.     Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.  *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.  *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.  	not-provided
ECO_L3G_MET.v002	ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m V002	LPCLOUD	2018-07-09		-180, -54, 180, 54	https://cmr.earthdata.nasa.gov/search/concepts/C2074897737-LPCLOUD.json	The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found in Figure 2 on the ECOSTRESS website (https://ecostress.jpl.nasa.gov/science).  The ECOSTRESS Gridded Downscaled Meteorology Instantaneous L3 Global 70 m (ECO_L3G_MET) Version 2 data product provides instantaneous near-surface air temperature (Ta) and relative humidity (RH) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and Ta or RH from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled MET (ECO_L3T_MET (https://doi.org/10.5067/ECOSTRESS/ECO_L3T_MET.002)) product, projected to a globally snapped 0.0006° grid, and has a spatial resolution of 70 meters (m).  The ECO_L3G_MET Version 2 data product contains four layers distributed in an HDF5 format file including Ta, RH, cloud mask, and water mask.  	not-provided
ECO_L3G_SM.v002	ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m V002	LPCLOUD	2018-07-09		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2074890845-LPCLOUD.json	The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. A map of the acquisition coverage can be found on the ECOSTRESS website.    The ECOSTRESS Gridded Downscaled Soil Moisture Instantaneous L3 Global 70 m (ECO_L3G_SM) Version 2 data product provides instantaneous soil moisture (SM) estimates downscaled using linear regression. The linear regression uses up-sampled surface temperature (ST), normalized difference vegetation index (NDVI), and albedo as predictor variables and SM from Goddard Earth Observing System Version 5 (GEOS-5) Forward Processing (FP) as response variables for their relative outputs. Once the regression coefficients have been determined, they are applied to the 70 meter (m) ST, NDVI, and albedo as a first pass, which is then bias corrected using a GEOS-5 FP image. This data product is mosaicked from the L3 tiled SM (ECO_L3T_SM) product, is projected to a globally snapped 0.0006° grid, and has a spatial resolution of 70 m.    The ECO_L3G_SM Version 2 data product contains three layers distributed in an HDF5 file including SM, cloud mask, and water mask.    Known Issues: *Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU, and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly, temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented, and science acquisitions resumed. To optimize the new acquisition approach, only Thermal Infrared (TIR) bands 2, 4, and 5 are being downloaded. The data products are the same as before, but the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.    *Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.    *Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.	not-provided
EN1_MDSI_MER_FRS_1P.v4	Full Resolution Full Swath Geolocated and Calibrated TOA Radiance	LAADS	2002-05-17	2012-04-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2151211533-LAADS.json	The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution.  Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.    The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_1P is the short-name for the MERIS Level-1 full resolution, full swath, geolocated and calibrated top-of-atmosphere (TOA) radiance product. This product contains the TOA upwelling spectral radiance measurements. The in-band reference irradiances for the 15 MERIS bands are computed by averaging the in-band solar irradiance for each pixel. Each pixel’s in-band solar irradiance is computed by integrating the reference solar spectrum with the band-pass of each pixel. The Level-1 product contains 22 data files: 15 files contain radiances for each band (one band per file) along with associated error estimates, and 7 annotation data files. It also includes a Manifest file that provides metadata information describing the product.	not-provided
EN1_MDSI_MER_FRS_2P.v4	Full Resolution Full Swath Geophysical Product for Ocean, Land and Atmosphere	LAADS	2003-01-01	2012-04-08	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2151219110-LAADS.json	The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution.  Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012.    The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_FRS_2P is the short-name for the MERIS Level-2 full resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmosphere parameters.	not-provided
EO:EUM:CM:METOP:ASCSZFR02.v2014-10-07	ASCAT L1 SZF Climate Data Record Release 2 - Metop	EUMETSAT	2007-01-01	2014-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901388-EUMETSAT.json	Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at full resolution (SZF). Normalized radar cross section (NRCS) of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at 12.5 and 25 km Swath Grids. This is a Fundamental Climate Data Record (FCDR). 	not-provided
EO:EUM:CM:METOP:ASCSZOR02.v2014-10-07	ASCAT L1 SZO Climate Data Record Release 2 - Metop	EUMETSAT	2007-01-01	2014-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901391-EUMETSAT.json	Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 25 km Swath Grid (SZO). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 12.5 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). 	not-provided
EO:EUM:CM:METOP:ASCSZRR02.v2014-10-07	ASCAT L1 SZR Climate Data Record Release 2 - Metop	EUMETSAT	2007-01-01	2014-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901394-EUMETSAT.json	Reprocessed L1B data from the Advanced Scatterometer (ASCAT) on METOP-A, resampled at 12.5 km Swath Grid (SZR). Normalized radar cross section (NRCS) triplets of the Earth surface together with measurement time, location (latitude and longitude) and geometrical information (incidence and azimuth angles). The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product is also available at full resolution and at 25 km Swath Grid. This is a Fundamental Climate Data Record (FCDR). 	not-provided
EO:EUM:CM:MSG:MSGASRE0100.v2015-06-01	All-Sky Radiances - MSG - 0 degree (CF-015 Release 1)	EUMETSAT	2004-03-01	2012-12-31	-79, -81, 79, 81	https://cmr.earthdata.nasa.gov/search/concepts/C1588876447-EUMETSAT.json	This is the first release of the reprocessed SEVIRI All-Sky Radiances (ASR) product. The ASR product contains information on mean brightness temperatures (16x16 pixels so around 50km at nadir) from all thermal (e.g. infrared and water vapour) channels. It includes both clear and cloudy sky brightness temperatures. The ASR product also contains the fraction of clear sky and the solar zenith angle. The final ASR product is BUFR encoded 3-hourly at every third quarter of the hour (e.g. 00:45, 01:45 ...).Note that the reprocessing was done using the latest version of the EUMETSAT software (Version 1.5.3, 2013) ingesting  original level 1.5 SEVIRI images and the ECMWF ERA-interim as a  as a forecast input re-analysis data.	not-provided
EO:EUM:DAT:METOP:ASCSZF1B.v2010-09-21	ASCAT GDS Level 1 Sigma0 at Full Sensor Resolution - Metop	EUMETSAT	2007-05-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901397-EUMETSAT.json	The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. This product consists of geo-located radar backscatter values along the six ASCAT beams. The different beam measurements are not collocated into a regular swath grid and the individual measurements are not spatially averaged. The resolution of each of the 255 backscatter values per each beam varies slightly along the beam, but it is approximately 10km (in the along beam direction) x 25 km (across the beam). This product is usually referred to as 'ASCAT Level 1B Full resolution product'. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.	not-provided
EO:EUM:DAT:METOP:ASCSZO1B.v2010-09-21	ASCAT GDS Level 1 Sigma0 resampled at 25 km Swath Grid - Metop	EUMETSAT	2007-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901403-EUMETSAT.json	The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 25 km Swath Grid'.	not-provided
EO:EUM:DAT:METOP:ASCSZR1B.v2010-09-21	ASCAT GDS Level 1 Sigma0 resampled at 12.5 km Swath Grid - Metop	EUMETSAT	2007-03-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901400-EUMETSAT.json	The prime objective of the Advanced SCATterometer (ASCAT) is to measure wind speed and direction over the oceans, and the main operational application is the assimilation of ocean winds in NWP models. Other operational applications, based on the use of measurements of the backscattering coefficient, are sea ice edge detection and monitoring, monitoring sea ice, snow cover, soil moisture and surface parameters. The product is available from the archive in 2 different spatial resolutions; 25 km and 12.5 km. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information. Near real-time distribution discontinued on 29/09/2015 but the product contents are now available in the corresponding Level 2 product 'ASCAT Soil Moisture at 12.5 km Swath Grid'.	not-provided
EO:EUM:DAT:METOP:OSI-104.v2011-09-28	ASCAT Coastal Winds at 12.5 km Swath Grid - Metop	EUMETSAT	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901378-EUMETSAT.json	Equivalent neutral 10m winds over the global oceans, with specific sampling to provide as many observations as possible near the coasts. Better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).	not-provided
EO:EUM:DAT:METOP:SOMO12.v2010-06-21	ASCAT Soil Moisture at 12.5 km Swath Grid - Metop	EUMETSAT	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901376-EUMETSAT.json	The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.	not-provided
EO:EUM:DAT:METOP:SOMO25.v2010-06-21	ASCAT Soil Moisture at 25 km Swath Grid - Metop	EUMETSAT	2007-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1588901374-EUMETSAT.json	The Surface Soil Moisture L2 product is derived from the Advanced SCATterometer (ASCAT) data and given in swath geometry. This product provides an estimate of the water saturation of the 5 cm topsoil layer, in relative units between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of soil moisture and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multiple viewing capabilities of ASCAT. The processor has been developed by the Institute of Photogrammetry and Remote Sensing of the Vienna University of Technology. Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.	not-provided
G02191.v1	AIDJEX Beaufort Sea Upward Looking Sonar April 1976, Version 1	NSIDCV0	1976-04-07	1976-04-10	-155, 70, -137, 76	https://cmr.earthdata.nasa.gov/search/concepts/C1386206523-NSIDCV0.json	"This data contains Upward Looking Sonar (ULS) profiles of the underside of the Arctic pack ice along three transects whose total length is 777 nautical miles. The data were obtained by the USS Gurnard (SSN-662), a U.S. Navy submarine, on a traverse of the AIDJEX Main Experiment area in the Beaufort Sea from 07 April 1976 to 10 April 1976. The sea ice thickness derived from the ULS is given in feet.  The data are in a single ASCII text file: Aidjex_04_1976_uls.txt. The data in this text file are not formatted into columns; all data are presented in one long row separated by spaces. Little is known about the format of the file, so caution should be used when working with the data. NSIDC is providing this data as part of our effort to preserve historical data.  The data file begins with nine values that appear to be header information. These nine values include latitude and longitude values along with other unknown values. After the header, there are approximately 2100 measurements of what NSIDC believes is sea ice thickness in feet, however it is unclear how often these measurements were taken. After these 2100 values, another header of nine values occurs followed again by 2100 measurements. The file continues in this pattern through the remainder of the file. Users with information about the contents of the file are encouraged to contact <a href=""mailto:nsidc.org"">NSIDC User Services</a>.  Two supporting documents that provide some background have been scanned and included as PDF files. These are AIDJEX_ULS_background.pdf and AIDJEX_ULS_format.pdf.   These data are available via FTP.   <strong>Note:</strong> These data are in a raw format with unknown fields and are being provided as is for preservation purposes. A processed version of the data are available in the <a href=""/data/g01360.html"">Submarine Upward Looking Sonar Ice Draft Profile Data and Statistics</a> data set."	not-provided
G5NR.v1	GEOS-5 Nature Run data	NCCS	2005-05-15	2007-06-16	-180, 90, 179.9375, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1634215803-NCCS.json	This specific GEOS-5 model configuration used to perform a two-year global,  non-hydrostatic mesoscale simulation for the period 2005-2007 at 7-km (3.5-km in the future) horizontal resolution.  Because this simulation is intended to serve as a reference Nature Run for Observing System  Simulation Experiments (OSSEs, e.g., Errico et al., 2012) it will be referred to as the 7-km GEOS-5  Nature Run or 7-km G5NR. This simulation has been performed with the Ganymed version of GEOS-  5, more specifically with CVS Tag wmp-Ganymed-4_0_BETA8.  In addition to standard meteorological parameters (wind, temperature, moisture, surface pressure),  this simulation includes 15 aerosol tracers (dust, sea-salt, sulfate, black and organic carbon), O3, CO  and CO2. This model simulation is driven by prescribed sea-surface temperature and sea-ice, as well  as surface emissions and uptake of aerosols and trace gases, including daily volcanic and biomass  burning emissions, biogenic sources and sinks of CO2, and high-resolution inventories of  anthropogenic sources.The simulation is performed at a horizontal resolution of 7 km using a cubed-sphere horizontal  grid with 72 vertical levels, extending up to to 0.01 hPa (~ 80 km). For user convenience, all data  products are generated on two logically rectangular longitude-latitude grids: a full-resolution  0.0625o grid that approximately matches the native cubed-sphere resolution, and another 0.5o  reduced-resolution grid. The majority of the full-resolution data products are instantaneous with  some fields being time-averaged. The reduced-resolution datasets are mostly time-averaged, with  some fields being instantaneous. Hourly data intervals are used for the reduced-resolution datasets,  while 30-minute intervals are used for the full-resolution products. All full-resolution output is on  the model’s native 72-layer hybrid sigma-pressure vertical grid, while the reduced-resolution  output is given on native vertical levels and on 48 pressure surfaces extending up to 0.02 hPa.  Section 4 presents additional details on horizontal and vertical grids. 	not-provided
GE01_MSI_L1B.v1	GeoEye-1 Level 1B Multispectral 4-Band Satellite Imagery	CSDA	2009-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2471470251-CSDA.json	The GeoEye-1 Level 1B Multispectral 4-Band L1B Satellite Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The imagery has a spatial resolution of 1.84m at nadir (1.65m before summer 2013) and has a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
GE01_Pan_L1B.v1	GeoEye-1 Level 1B Panchromatic Satellite Imagery	CSDA	2009-09-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497510652-CSDA.json	The GeoEye-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the GeoEye-1 satellite using the GeoEye-1 Imaging System across the global land surface from September 2008 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m at nadir (0.41m before summer 2013) and a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
GEOS FP.v1	GEOS Forward Processing	NCCS	2014-02-20		-180, 90, 179.6875, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1634094157-NCCS.json	The GEOS FP Atmospheric Data Assimilation System (GEOS ADAS) uses an analysis  developed jointly with NOAA’s National Centers for Environmental Prediction (NCEP), which  allows the Global Modeling and Assimilation Office (GMAO) to take advantage of the  developments at NCEP and the Joint Center for Satellite Data Assimilation (JCSDA). The  GEOS AGCM uses the finite-volume dynamics (Lin, 2004) integrated with various physics  packages (e.g, Bacmeister et al., 2006), under the Earth System Modeling Framework (ESMF)  including the Catchment Land Surface Model (CLSM) (e.g., Koster et al., 2000). The GSI  analysis is a three-dimensional variational (3DVar) analysis applied in grid-point space to  facilitate the implementation of anisotropic, inhomogeneous covariances (e.g., Wu et al., 2002;  Derber et al., 2003). The GSI implementation for GEOS FP incorporates a set of recursive filters  that produce approximately Gaussian smoothing kernels and isotropic correlation functions.  The GEOS ADAS is documented in Rienecker et al. (2008). More recent updates to the model  are presented in Molod et al. (2011). The GEOS system actively assimilates roughly 2 ´ 106  observations for each analysis, including about 7.5 ´ 105 AIRS radiance data. The input stream  is roughly twice this volume, but because of the large volume, the data are thinned  commensurate with the analysis grid to reduce the computational burden. Data are also rejected  from the analysis through quality control procedures designed to detect, for example, the  presence of cloud.  To minimize the spurious periodic perturbations of the analysis, GEOS FP uses the Incremental  Analysis Update (IAU) technique developed by Bloom et al. (1996).	not-provided
GEOS-CF Products.v1	GEOS CF (Composition Forecast)	NCCS	2018-01-01		-180, 90, 179.5, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633930911-NCCS.json	The NASA Global Earth Observing System (GEOS) model has been expanded to provide global nearreal-  time forecasts of atmospheric composition at a horizontal resolution of 0.25 degrees (about 25  km). This GEOS Composition Forecast (GEOS-CF) system combines the GEOS weather analysis and  forecasting system with the state-of-the-science GEOS-Chem chemistry module (Bey et al., 2001;  Keller et al., 2014; Long et al., 2015) to provide detailed chemical analysis of a wide range of air  pollutants including ozone, carbon monoxide, nitrogen oxides, and fine particulate matter (PM2.5).	not-provided
GGD222.v1	Active layer and permafrost properties, including snow depth, soil temperature, and soil moisture, Barrow, Alaska, Version 1	NSIDCV0	1962-01-01	1993-12-31	-156.78872, 71.29058, -156.78872, 71.29058	https://cmr.earthdata.nasa.gov/search/concepts/C1386206550-NSIDCV0.json	This data set contains soil temperature, soil moisture, thaw depth, and snow depth data collected at test sites near Barrow, Alaska, during the following years.  Soil temperature data - 1963-1966, 1993  Soil moisture data - 1963  Thaw depth - 1962-1968, 1991-1993  Snow depth - 1963-1964  This study focused on characterizing the active soil layer at Barrow, and determining the relationships between and among these physical properties at permafrost sites in the Arctic.  This site is U1 of the IPA's Circumpolar Active Layer Monitoring (CALM) Program and later measurements are available at the CALM Web site.	not-provided
GGD23.v1	Active-Layer and Permafrost Temperatures, Sisimiut (Holsteinsborg), Greenland, Version 1	NSIDCV0	1967-09-01	1982-08-31	-53.64, 66.94, -53.64, 66.94	https://cmr.earthdata.nasa.gov/search/concepts/C1386206552-NSIDCV0.json	This data set contains active-layer and permafrost temperatures from Sisimiut, west Greenland, recorded from 18 sensors at depths of 0.25 m, 0.5 m, 0.75 m, 1 m, 1.25 m, 1.5 m, 1.75 m, 2 m, 2.5 m, 3 m, 3.5 m, 4 m, 4.5 m, 5 m, 6 m, 7 m, 8 m, and 9 m below the surface. Snow depth, snow extent, and surface air temperature were also recorded. Thermometers recorded temperatures once a day from September 1967 to August 1982; however, this data set only contains bi-weekly averages. Data are in tab-delimited ASCII text format and are available via FTP.	not-provided
GGD239.v1	Active layer physical processes at Broeggerhalvoya, western Spitsbergen, Version 1	NSIDCV0	1985-07-01	1986-06-30	12.462, 78.958, 12.462, 78.958	https://cmr.earthdata.nasa.gov/search/concepts/C1386206556-NSIDCV0.json	These data have been collected from an Arctic desert site (latitude 78o57'29N, longitude 12o27'42E), Broeggerhalvoya in  western Spitsbergen, 10 km NW from Ny Alesund, 45 m above sea  level, 2 km from the shore. This is a low relief tip of a bedrock  peninsula covered with several meters of glacial drift and reworked raised beach ridges. The measurements are obtained in the site of well developed patterned ground, sorted polygons, where the influence of plants, including thermal insulation and transpiration, is negligible. The 1985-1986 period was average. Mean annual air temperature was -6.6 C, 0.4 C colder than the long-term (1975-1990) mean, but well within the mean variability. Mean winter air temperature is relatively warm (mean of coldest month, February, is -14.6 C). Annual precipitation was 17 % greater than the ong-term mean (372 mm); however, the number of rain-on-snow events was less (3) than average (5.5). Overall, the reference period is close to long-term averages.     A program of automated soil temperature recordings was initiated in the summer of 1984, at a patterned ground field site Thermistors were placed approximately 0.1 m apart in an epoxy-filled PVC rod (18 mm outside diameter), buried in the center of a fine-grained domain of a sorted circle, down to 1.14 m below the ground surface. The data presented here covers 7/1/85-7/1/86, once a day (6 am), at two levels (0.0 m, 1.145 m below surface). The resolution of the thermistors is 0.004 C, and the accuracy is estimated to be 0.02 C near 0 C. Missing data accounts for less than 7 %. The gaps are filled with simple average of the beginning and end of the gap values. For a detailed description of the field site and data analysis see Putkonen (1997) and Hallet and Prestrud (1986).  These data are presented on the CAPS Version 1.0 CD-ROM, June 1998.	not-provided
GGD249.v1	Active layer thickness and ground temperatures, Svea, Svalbard, Version 1	NSIDCV0	1987-07-01	1996-05-31	16.683, 77.9, 16.683, 77.9	https://cmr.earthdata.nasa.gov/search/concepts/C1386206575-NSIDCV0.json	Snow and soil temperature records for January 1988 - May 1996 are presented. Included are snow depth and weight measurements, snow density (calculated), active layer depth in the frost tubes, weight of wet and dried soil samples from unknown depth within the active layer (water content calculated), and soil temperature at the surface (0.05 cm) and to the depths of 3 to 4 meters at 3 sites. The sites are 1) on a road covered by 1 m of gravel underlain by clay; 2) outside a building on piles, (sensors are placed 1 to 2 m from the building wall); and 3) under the building between piles. In addition, air temperature was measured inside the building or between the piles (documentation is not clear on this point.) There are several gaps in temperature measurements (January 1991 to May 1992). These data are presented on the CAPS CD-ROM version 1.0, June 1998.  Air temperature, wind direction, and temperature were measured at 5, 20, 50, 100, 150, and 200 cm below the tundra surface at an undisturbed site; and at 5, 20, 50, 100, 150, 200 cm, and 3 m and 8 m below the concrete surface of a building. Incoming radiation, outgoing radiation, temperature of the heat flux instrument, global radiation, heat flux, wind speed, wind speed maximum, average wind speed, and temperature inside the building were measured since 1993 with data loggers. All data are recorded for July 1987 - February 1996.	not-provided
GGD353.v6	Active Layer Monitoring, Arctic and Subarctic Canada, Version 6	NSIDCV0	1991-01-01	2007-12-31	-134.95, 61.883, -121.6, 69.717	https://cmr.earthdata.nasa.gov/search/concepts/C1386206842-NSIDCV0.json	This project involves measuring regional and site variability in maximum annual active layer development and vertical surface movement over permafrost, and monitoring sites over time in order to observe trends. The project records maximum thaw penetration, maximum heave and subsidence, late season snow depths, current depth of thaw, elevation, and soil properties. Some sites are twinned with soil- and air-temperature recording equipment.  The project includes about 60 monitoring stations extending from Fort Simpson, Canada, in the upper Mackenzie River valley to the Beaufort Sea coast at North Head, Richards Island, Canada. Ten of the sites are part of the IPA's Circumpolar Active Layer Monitoring (CALM) Program. CALM site numbers are in parentheses after the site names: North Head (C3), Taglu (C4), Lousy Point (C5), Reindeer Depot (C7), Rengleng River (C8), Mountain River (C9), Norman Wells (C11), Ochre River (C13), Willowlake River (C14), and Fort Simpson (C15). See the CALM Program Web page for geographic coordinates and site history for all CALM sites.  These data are the property of the people of Canada and the responsibility of the Geological Survey of Canada. If published, adequate acknowledgment is expected. Please contact F. M. Nixon regarding use of the data set or access to the extended data.	not-provided
GGD611.v1	Air Temperatures at High Altitude, Kanchanjunga Himal, Eastern Nepal, Version 1	NSIDCV0	1998-11-04	1999-11-17	87.933, 27.65, 88.067, 27.8	https://cmr.earthdata.nasa.gov/search/concepts/C1386206883-NSIDCV0.json	This data set provides air temperature (1.5 m above ground surface) data from the Kanchanjunga Himal, eastern Nepal. Air temperature was monitored from November 1998 to November 1999 at three locations (Tengkoma, Lhonak, and Ghunsa) at altitudes of 3410, 4750 and 6012 m ASL. Although temperature was measured at one-hour intervals, only daily mean values are provided.	not-provided
GGD622.v1	Active-Layer Depth of a Finnish Palsa Bog, Version 1	NSIDCV0	1993-09-08	2002-10-14	27.17, 69.82, 27.17, 69.82	https://cmr.earthdata.nasa.gov/search/concepts/C1386206889-NSIDCV0.json	This data set contains 76 active-layer depth measurements (cm) of the Vaisjeäggi palsa bog, Finland, from 08 September 1993 to 14 October 2002. Data were collected from a single location at 69 deg 49'16.6' N, 27 deg 10'17.1' E. Data also contain snow depth (cm) when snow cover was present. Data are in tab-delimited ASCII text format, and are available via ftp.	not-provided
GGD632.v1	Active-Layer and Permafrost Temperatures, Soendre Stroemfjord, Greenland, Version 1	NSIDCV0	1967-09-06	1976-02-15	50.8, 67, 50.8, 67	https://cmr.earthdata.nasa.gov/search/concepts/C1386206903-NSIDCV0.json	This data set contains active-layer and permafrost temperatures from two stations in Soendre Stroemfjord, Greenland. Snow depth and snow extent were also recorded. Thermometers at Station A (67 deg N, 50.8 deg W, 50 m asl) recorded temperatures once a day from September 1967 to February 1976. Thermometers at Station B (67 deg N, 50.8 deg W, 38 m asl) recorded temperatures once a day from September 1967 to August 1970; however, only bi-weekly averages are given for Station B. Data are in tab-delimited ASCII text format and are available via FTP.	not-provided
GISS-CMIP5.v1	GISS ModelE2 contributions to the CMIP5 archive	NCCS	0850-01-01	2100-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542315069-NCCS.json	We present a description of the ModelE2 version of the Goddard Institute for Space Studies (GISS) General Circulation Model (GCM) and the configurations used in the simulations performed for the Coupled Model Intercomparison Project Phase 5 (CMIP5). We use six variations related to the treatment of the atmospheric composition, the calculation of aerosol indirect effects, and ocean model component. Specifically, we test the difference between atmospheric models that have noninteractive composition, where radiatively important aerosols and ozone are prescribed from precomputed decadal averages, and interactive versions where atmospheric chemistry and aerosols are calculated given decadally varying emissions. The impact of the first aerosol indirect effect on clouds is either specified using a simple tuning, or parameterized using a cloud microphysics scheme. We also use two dynamic ocean components: the Russell and HYbrid Coordinate Ocean Model (HYCOM) which differ significantly in their basic formulations and grid. Results are presented for the climatological means over the satellite era (1980-2004) taken from transient simulations starting from the preindustrial (1850) driven by estimates of appropriate forcings over the 20th Century. Differences in base climate and variability related to the choice of ocean model are large, indicating an important structural uncertainty. The impact of interactive atmospheric composition on the climatology is relatively small except in regions such as the lower stratosphere, where ozone plays an important role, and the tropics, where aerosol changes affect the hydrological cycle and cloud cover. While key improvements over previous versions of the model are evident, these are not uniform across all metrics.	not-provided
GMAO-CMIP5.v1	GMAO Decadal Analysis & Prediction for CMIP5	NCCS	1961-01-01	2019-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1542704969-NCCS.json	Studies of change and variations on decadal timescales are essential for planning satellite missions that seek to improve our understanding of linkages among various components of the Earth System. Decadal predictions using a version of the GEOS-5 AOGCM were contributed to the CMIP5 project. The dataset include a three-member ensemble initialized on December 1 of each year from 1960 to 2010. These data are available, with the designation NASA GMAO, from the CMIP5 Archive at NASA NCCS.	not-provided
GOMIGEO.v002	MISR Geometric Parameters subset for the GoMACCS region V002	LARC	2006-07-30	2006-10-17	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1625796320-LARC.json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR Geometric Parameters subset for the GoMACCS region V002 contains the Geometric Parameters which measure the sun and view angles at the reference ellipsoid.	not-provided
Global_Litter_Carbon_Nutrients_1244.v1	A Global Database of Litterfall Mass and Litter Pool Carbon and Nutrients	ORNL_CLOUD	1827-01-01	1997-12-31	-156.7, -54.5, 176.2, 72.5	https://cmr.earthdata.nasa.gov/search/concepts/C2784385713-ORNL_CLOUD.json	Measurement data of aboveground litterfall and littermass and litter carbon, nitrogen, and nutrient concentrations were extracted from 685 original literature sources and compiled into a comprehensive database to support the analysis of global patterns of carbon and nutrients in litterfall and litter pools. Data are included from sources dating from 1827 to 1997. The reported data include the literature reference, general site information (description, latitude, longitude, and elevation), site climate data (mean annual temperature and precipitation), site vegetation characteristics (management, stand age, ecosystem and vegetation-type codes), annual quantities of litterfall (by class, kg m-2 yr-1), litter pool mass (by class and litter layer, kg m-2), and concentrations of nitrogen (N), phosphorus (P), and base cations for the litterfall (g m-2 yr-1) and litter pool components (g m-2).  The investigators intent was to compile a comprehensive data set of individual direct field measurements as reported by researchers. While the primary emphasis was on acquiring C data, measurements of N, P, and base cations were also obtained, although the database is sparse for elements other than C and N. Each of the 1,497 records in the database represents a measurement site. Replicate measurements were averaged according to conventions described in Section 5 and recorded for each site in the database. The sites were at 575 different locations. 	not-provided
Global_Microbial_Biomass_C_N_P_1264.v1	A Compilation of Global Soil Microbial Biomass Carbon, Nitrogen, and Phosphorus Data	ORNL_CLOUD	1977-11-16	2012-06-01	-180, -90, 177.9, 79	https://cmr.earthdata.nasa.gov/search/concepts/C2216863966-ORNL_CLOUD.json	This data set provides the concentrations of soil microbial biomass carbon (C), nitrogen (N) and phosphorus (P), soil organic carbon, total nitrogen, and total phosphorus at biome and global scales. The data were compiled from a comprehensive survey of publications from the late 1970s to 2012 and include 3,422 data points from 315 papers. These data are from soil samples collected primarily at 0-15 cm depth with some from 0-30 cm. In addition, data were compiled for soil microbial biomass concentrations from soil profile samples to depths of 100 cm. Sampling site latitude and longitude were available for the majority of the samples that enabled assembling additional soil properties, site characteristics, vegetation distributions, biomes, and long-term climate data from several global sources of soil, land-cover, and climate data. These site attributes are included with the microbial biomass data. This data set contains two *.csv files of the soil microbial biomass C, N, P data. The first provides all compiled results emphasizing the full spatial extent of the data, while the second is a subset that provides only data from a series of profile samples emphasizing the vertical distribution of microbial biomass concentrations.There is a companion file, also in .csv format, of the references for the surveyed publications. A reference_number relates the data to the respective publication.The concentrations of soil microbial biomass, in combination with other soil databases, were used to estimate the global storage of soil microbial biomass C and N in 0-30 cm and 0-100 cm soil profiles. These storage estimates were combined with a spatial map of 12 major biomes (boreal forest, temperate coniferous forest, temperate broadleaf forest, tropical and subtropical forests, mixed forest, grassland, shrub, tundra, desert, natural wetland, cropland, and pasture) at 0.05-degree by 0.5-degree spatial resolution. The biome map and six estimates of C and N storage and C:N ration in soil microbial biomass are provided in a single netCDF format file. 	not-provided
Global_Phosphorus_Hedley_Fract_1230.v1	A Global Database of Soil Phosphorus Compiled from Studies Using Hedley Fractionation	ORNL_CLOUD	1985-01-01	2010-12-31	-117.86, -42.5, 117.6, 63.23	https://cmr.earthdata.nasa.gov/search/concepts/C2216863440-ORNL_CLOUD.json	This data set provides concentrations of soil phosphorus (P) compiled from the peer-reviewed literature that cited the Hedley fractionation method (Hedley and Stewart, 1982). This database contains estimates of different forms of naturally occurring soil phosphorus, including labile inorganic P, organic P, occluded P, secondary mineral P, apatite P, and total P, based on the analyses of the various Hedley soil fractions.The recent literature survey (Yang and Post, 2011) was restricted to studies of natural, unfertilized, and uncultivated soils since 1995. Ninety measurements of soil P fractions were identified. These were added to the 88 values from soils in natural ecosystems that Cross and Schlesinger (1995) had compiled. Cross and Schlesinger provided a comprehensive survey on Hedley P data prior to 1995. Measurement data are provided for studies published from 1985 through 2010. In addition to the Hedley P fraction measurement data Yang and Post (2011) also compiled information on soil order, soil pH, organic carbon and nitrogen content, as well as the geographic location (longitude and latitude) of the measurement sites. 	not-provided
Global_RTSG_Flux_1078.v1	A Global Database of Gas Fluxes from Soils after Rewetting or Thawing, Version 1.0	ORNL_CLOUD	1956-01-01	2009-12-31	-149.63, -36.45, 160.52, 74.5	https://cmr.earthdata.nasa.gov/search/concepts/C2216863284-ORNL_CLOUD.json	This database contains information compiled from published studies on gas flux from soil following rewetting or thawing. The resulting database includes 222 field and laboratory observations focused on rewetting of dry soils, and 116 field laboratory observations focused on thawing of frozen soils studies conducted from 1956 to 2010. Fluxes of carbon dioxide, methane, nitrous oxide, nitrogen oxide, and ammonia (CO2, CH4, N2O, NO and NH3) were compiled from the literature and the flux rates were normalized for ease of comparison. Field observations of gas flux following rewetting of dry soils include events caused by natural rainfall, simulated rainfall in natural ecosystems, and irrigation in agricultural lands. Similarly, thawing of frozen soils include field observations of natural thawing, simulated freezing-thawing events (i.e., thawing of simulated frozen soil by snow removal), and thawing of seasonal ice in temperate and high latitude regions (Kim et al., 2012). Reported parameters include experiment type, location, site type, vegetation, climate, soil properties, rainfall, soil moisture, soil gas flux after wetting and thawing, peak soil gas flux properties, and the corresponding study references. There is one comma-delimited data file. 	not-provided
GreenBay.v0	2010 Measurements made in Green Bay, Wisconsin	OB_DAAC	2010-09-17		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360352-OB_DAAC.json	Measurements made in Green Bay, Wisconsin in 2010.	not-provided
IKONOS_MSI_L1B.v1	IKONOS Level 1B Multispectral 4-Band Satellite Imagery	CSDA	1999-10-14	2015-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497453433-CSDA.json	The IKONOS Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 3.2m at nadir and the temporal resolution is approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
IKONOS_Pan_L1B.v1	IKONOS Level 1B Panchromatic Satellite Imagery	CSDA	1999-10-24	2015-03-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497468825-CSDA.json	The IKONOS Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the IKONOS satellite using the Optical Sensor Assembly instrument across the global land surface from October 1999 to March 2015. This data product includes panchromatic imagery with a spatial resolution of 0.82m at nadir and a temporal resolution of approximately 3 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
IMS1_HYSI_GEO.v1.0	IMS-1 HYSI TOA Radiance and Reflectance Product	ISRO	2008-06-22	2012-09-10	-6.0364, -78.8236, 152.6286, 78.6815	https://cmr.earthdata.nasa.gov/search/concepts/C1214622602-ISRO.json	The data received from IMS1, HySI which operates in 64 spectral bands in VNIR bands(400-900nm) with 500 meter spatial resolution and swath of 128 kms.	not-provided
ISERV.v1	International Space Station SERVIR Environmental Research and Visualization System V1	USGS_EROS	2013-03-27		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1379906336-USGS_EROS.json	Abstract: The ISS SERVIR Environmental Research and Visualization System (ISERV) acquired images of the Earth's surface from the International Space Station (ISS). The goal was to improve automatic image capturing and data transfer. ISERV's main component was the optical assembly which consisted of a 9.25 inch Schmidt-Cassegrain telescope, a focal reducer (field of view enlarger), a digital single lens reflex camera, and a high precision focusing mechanism. A motorized 2-axis pointing mount allowed pointing at targets approximately 23 degrees from nadir in both along- and across-track directions.	not-provided
KOPRI-KPDC-00000008.v1	1998 Seismic Data, Antarctica	AMD_KOPRI	1998-12-07	1998-12-11	-66.266667, -64.616667, -64.416667, -62.995	https://cmr.earthdata.nasa.gov/search/concepts/C2244292774-AMD_KOPRI.json	"Korean Antarctic survey carried out as part of step 2 project in year 2 of 'the Antarctic Undersea Geological Survey' was conducted in the Ⅱ region around the northwestern continent of the Antarctic Peninsula. This area is northwest of Anvers Island, including areas around the pericontinent from the continental shelf to the continental rise zone. The investigation period for this project took a total of 8 days for moving navigation, the survey of the side lines and drilling investigation. After seismic investigation, a surface drilling investigation was conducted in coring point was decided from the reference seismic section.  10 researcher from ‘Korea Ocean Research and Development Institute’ participated in the field survey. We took on lease Russian icebreaker ""Yuzhmorgeologiya""."	not-provided
KOPRI-KPDC-00000009.v1	1997 Seismic Data, Antarctica	AMD_KOPRI	1997-12-23	1997-12-28	-64.699722, -63.525, -62.157778, -62.041389	https://cmr.earthdata.nasa.gov/search/concepts/C2244293126-AMD_KOPRI.json	Korean Antarctic survey carried out as part of step 2 project in year 1 of ‘The Antarctic Undersea Geological Survey’ in 1997 was conducted in a continental shelf in the northwestern part of the Antarctic Peninsula. The research period took a total of 8 days, including 6 days for the seismic survey and 2 days for the drilling investigation.  We took on lease Norway R/V 'Polar Duke' and 10 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12 –channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling.	not-provided
KOPRI-KPDC-00000011.v1	1996 Seismic Data, Antarctica	AMD_KOPRI	1996-12-17	1996-12-26	-62.766667, -63.583333, -60.233333, -62.733333	https://cmr.earthdata.nasa.gov/search/concepts/C2244293499-AMD_KOPRI.json	"Korean Antarctic survey carried out as in year 3 project of 'the Antarctic Undersea Geological Survey' was conducted in the basin region of western part of the Bransfeed Strait between the Antarctic Peninsula and the South Shetland Islands . During the field investigation, the seismic investigation and the drilling investigation was conducted at the same time. The investigation period took 9 days. 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker."	not-provided
KOPRI-KPDC-00000012.v1	1995 Seismic Data, Antarctica	AMD_KOPRI	1995-12-13	1995-12-18	-58.335, -62.984444, -54.101944, -61.301111	https://cmr.earthdata.nasa.gov/search/concepts/C2244291641-AMD_KOPRI.json	"Korean Antarctic survey carried out as in year 2 project of ""Antarctic submarine topography and sediment investigation"", The Field Survey of Antarctica was conducted at the end of 1995 was conducted the multi-channel Seismic Investigation and the drilling Investigation in the eastern part of the Bransfield Strait between the Antarctic Peninsula and the South Shetland Islands and near Sejong Station. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker for field investigation."	not-provided
KOPRI-KPDC-00000014.v1	1994 Seismic Data, Antarctica	AMD_KOPRI	1994-12-19	1994-12-27	-59.352778, -63.060278, -56.167778, -62.030833	https://cmr.earthdata.nasa.gov/search/concepts/C2244291414-AMD_KOPRI.json	Korean Antarctic survey carried out as in year 1 of 'the Antarctic Undersea Geological Survey' was conducted at the end of 1994 was conducted Multi-channel Seismic Investgation and Drilling investigation in the central basin of the Bransfield Strait was located in between the Antarctic Peninsula and the South Shetland Islands and the Maxwell Bay area near Sejong Station. The field research was conducted wih other research at the same time. The research period was from 11 Dec. in 1994 to 23 Jan. in 1995 (13 days).  - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region.	not-provided
KOPRI-KPDC-00000051.v1	1994 Sediment Core, Antarctica	AMD_KOPRI	1994-12-31	1995-01-02	-58.026667, -62.42, -57.739722, -62.32	https://cmr.earthdata.nasa.gov/search/concepts/C2244291543-AMD_KOPRI.json	"For the first year of study ""The Antarctic Undersea Geological Survey"", The Field Survey of Antarctica was conducted at the end of 1994 was conducted multi-channel seismic Investigation and drilling Investigation in the central basin of the Bransfield Strait was located in between the south Shetland Islands and the Antarctic peninsula and Maxwell bay area near Sejong Station. The field investigation was conducted research projects at the same time took 13 days from 11 Dec. in 1994 to 23 Jan. in 1995. - Korean Antarctic survey carried out as part of step 1 project in year 1 to investigate the possibility of oil resources in the Bransfield Strait of Antarctica. - Securing data for tectonic settings research in the same region. - Obtaining basic data for understanding marine geology and sedimentary layers in the same region."	not-provided
KOPRI-KPDC-00000052.v1	1995 Sediment Core, Antarctica	AMD_KOPRI	1995-12-19	1995-12-23	-55.951111, -61.969167, -55.051111, -61.951111	https://cmr.earthdata.nasa.gov/search/concepts/C2244291581-AMD_KOPRI.json	"Korean Antarctic survey was conducted in the east basin of the Bransfield Strait between the Antarctic peninsula and south Shetland Islands and Maxwell Bay located at Sejong Station was conducted multi-channel seismic investigation and drilling investigation. We took on lease Russian ""Yuzhmorgeologiya""(5500 ton, ice strengthed vessel) which is marine geology, geophysical survey vessel and Icebreaker for field investigation."	not-provided
KOPRI-KPDC-00000053.v1	1996 Sediment Core, Antarctica	AMD_KOPRI	1996-12-16	1996-12-16	-60.151944, -62.100278, -59.717778, -62.051389	https://cmr.earthdata.nasa.gov/search/concepts/C2244291950-AMD_KOPRI.json	"Korean Antarctic survey was conducted in west of the Bransfeed Strait, a basin between the Antarctic Peninsula and the south Shetland Islands. It tooks 9 days. seismic investigation and drilling investigation were conducted at the same time during the field survey. We took on lease Russian R/V ""Yuzhmorgeologiya"" which is marine geology, geophysical survey vessel and Icebreaker and 10 researchers from ‘Korea Ocean Research and Development Institute’ and 3 academic personnel participated in the cruise as field investigation personnel."	not-provided
KOPRI-KPDC-00000054.v1	1997 Sediment Core, Antarctica	AMD_KOPRI	1997-12-28	1997-12-29	-63.396667, -63.886111, -62.700833, -62.536389	https://cmr.earthdata.nasa.gov/search/concepts/C2244292254-AMD_KOPRI.json	Korean Antarctic survey was conducted in 1997 carried out in a continental shelf in the northwestern part of the Antarctic Peninsula. It took 2 days. We took on lease Norway R/V 'Polar Duke' and 11 researchers from ‘Korea Ocean Research and Development Institute’ participated as field investigation personnel. The Teac single-channel recorder, EPC Recorder, Q/C MicroMax system etc. was used mainly by Sleeve gun used as a sound source, compressor for creating compressed air, DFS-V Recorder for multi-channel Seismic record, 12-channel geophone of seismic streamers. Additional Gravity Core was used for sediment research through drilling.	not-provided
KOPRI-KPDC-00000055.v1	1998 Sediment Core, Antarctica	AMD_KOPRI	1998-12-11	1998-12-12	-66.32, -63.95, -63.47, -62.943333	https://cmr.earthdata.nasa.gov/search/concepts/C2244294165-AMD_KOPRI.json	"Korean Antarctic survey was conducted in the continental margin (II region) of the northwestern Antarctic Peninsula. We took on lease Russian R/V ""Yuzhmorgeologiya"" (5500 ton, ice strengthed vessel) and 10 researchers participated in the cruise, including acquisition of multichannel seismic, gravity, and magnetometer as well as a detailed samplings (box cores, gravity cores, and grab samples). 1. Geophysical researches (Multichannel seismic and SBP surveys)  2. Paleoceanographic researches"	not-provided
KUKRI_He	(U-Th)/He ages from the Kukri Hills of southern Victoria Land	SCIOPS	1970-01-01		162.7, -77.7, 162.7, -77.7	https://cmr.earthdata.nasa.gov/search/concepts/C1214587974-SCIOPS.json	The data set consists of (U-Th)/He ages collected from three vertical profiles       from the the Kukri Hills (north side of the Ferrar Glacier) of Southern       Victoria Land.  The data set provides information on the cooling history and       hence the denduation history of the Transantarctic Mountains in this area.       Analyses were all carried out at the (U-Th)/He lab of Ken Farley at the       Californai Institute of Technology.	not-provided
L1B_Wind_Products	Aeolus preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers	ESA	2020-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2119689596-ESA.json	The Level 1B wind product of the Aeolus mission contains the preliminary HLOS (horizontal line-of-sight) wind observations for Rayleigh and Mie receivers, which are generated in Near Real Time. Standard atmospheric correction (Rayleigh channel), receiver response and bias correction is applied. The product is generated within 3 hours after data acquisition.	not-provided
L2B_Wind_Products	Aeolus Scientific L2B Rayleigh/Mie wind product	ESA	2020-04-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2119689544-ESA.json	The Level 2B wind product of the Aeolus mission is a geo-located consolidated HLOS (horizontal line-of-sight) wind observation with actual atmospheric correction applied to Rayleigh channel. The product is generated by within 3 hours after data acquisition.	not-provided
L2C_Wind_products	Aeolus Level 2C assisted wind fields resulting from NWP Numerical Weather Prediction assimilation processing	ESA	2020-07-09		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2619280864-ESA.json	The Level 2C wind product of the Aeolus mission provides ECMWF analysis horizontal wind vectors at the geolocations of assimilated L2B HLOS wind components.  The L2C can therefore be described as an Aeolus-assisted horizontal wind vector product. The L2C is a distinct product, however the L2C and L2B share a common Earth Explorer file template, with the L2C being a superset of the L2B.  The L2C consists of extra datasets appended to the L2B product with information which are relevant to the data assimilation of the L2B winds.	not-provided
LAI_Woody_Plants_1231.v1	A Global Database of Field-observed Leaf Area Index in Woody Plant Species, 1932-2011	ORNL_CLOUD	1932-01-01	2011-12-31	-164.78, -54.2, 175.62, 78.42	https://cmr.earthdata.nasa.gov/search/concepts/C2784385653-ORNL_CLOUD.json	This data set provides global leaf area index (LAI) values for woody species. The data are a compilation of field-observed data from 1,216 locations obtained from 554 literature sources published between 1932 and 2011. Only site-specific maximum LAI values were included from the sources; values affected by significant artificial treatments (e.g. continuous fertilization and/or irrigation) and LAI values that were low due to drought or disturbance (e.g. intensive thinning, wildfire, or disease), or because vegetation was immature or old/declining, were excluded (Lio et al., 2014). To maximize the generic applicability of the data, original LAI values from source literature and values standardized using the definition of half of total surface area (HSA) are included. Supporting information, such as geographical coordinates of plot, altitude, stand age, name of dominant species, plant functional types, and climate data are also provided in the data file. There is one data file in comma-separated (.csv) format with this data set and one companion file which provides the data sources.	not-provided
LGB_10m_traverse.v1	10 m firn temperature data: LGB traverses 1990-95	AU_AADC	1989-11-01	1995-02-28	54, -77, 78, -69	https://cmr.earthdata.nasa.gov/search/concepts/C1214313574-AU_AADC.json	The Lambert Glacier Basin (LGB) series of five oversnow traverses were conducted from 1989-95. Ten metre depth (10 m) firn temperatures, as a proxy indicator of annual mean surface temperature at a site, were recorded approximately every 30 km along the 2014 km main traverse route from LGB00 (68.6543 S, 61.1201 E) near Mawson Station, to LGB72 (69.9209 S, 76.4933 E) near Davis Station.  10 m depth firn temperatures were recorded manually in field notebooks and the data transferred to spreadsheet files (MS Excel).  Summary data (30 km spatial resolution) can be obtained from CRC Research Note No.09 'Surface Mass Balance and Snow Surface Properties from the Lambert Glacier Basin Traverses 1990-94'.  This work was completed as part of ASAC projects 3 and 2216.  Some of this data have been stored in a very old format.  The majority of files have been updated to current formats, but some files (kaleidograph files in particular) were not able to be modified due to a lack of appropriate software.  However, these files are simply figures, and can be regenerated from the raw data (also provided).  The fields in this dataset are:  Latitutde Longitude Height Cane Distance Elevation Density Mass Accumulation Year Delta Oxygen-18 Grain Size Ice Crusts Depth Hoar	not-provided
Leaf_Carbon_Nutrients_1106.v1	A Global Database of Carbon and Nutrient Concentrations of Green and Senesced Leaves	ORNL_CLOUD	1970-01-01	2009-12-31	-159.7, -50, 176.9, 68.5	https://cmr.earthdata.nasa.gov/search/concepts/C2784383820-ORNL_CLOUD.json	This data set provides carbon (C), nitrogen (N), phosphorus (P), potassium (K), calcium (Ca), and magnesium (Mg) concentrations in green and senesced leaves. Vegetation characteristics reported include species growth habit, leaf area, mass, and mass loss with senescence. The data were compiled from 86 selected studies in 31 countries, and resulted in approximately 1,000 data points for both green and senesced leaves from woody and non-woody vegetation as described in Vergutz et al (2012). The studies were conducted from 1970-2009. There are two comma-delimited data files with this data set.	not-provided
Leaf_Photosynthesis_Traits_1224.v1	A Global Data Set of Leaf Photosynthetic Rates, Leaf N and P, and Specific Leaf Area	ORNL_CLOUD	1993-01-01	2010-12-31	-122.4, -43.2, 176.13, 58.42	https://cmr.earthdata.nasa.gov/search/concepts/C2784384781-ORNL_CLOUD.json	This global data set of photosynthetic rates and leaf nutrient traits was compiled from a comprehensive literature review. It includes estimates of Vcmax (maximum rate of carboxylation), Jmax (maximum rate of electron transport), leaf nitrogen content (N), leaf phosphorus content (P), and specific leaf area (SLA) data from both experimental and ambient field conditions, for a total of 325 species and treatment combinations. Both the original published Vcmax and Jmax values as well as estimates at standard temperature are reported. The maximum rate of carboxylation (Vcmax) and the maximum rate of electron transport (Jmax) are primary determinants of photosynthetic rates in plants, and modeled carbon fluxes are highly sensitive to these parameters. Previous studies have shown that Vcmax and Jmax correlate with leaf nitrogen across species and regions, and locally across species with leaf phosphorus and specific leaf area, yet no universal relationship suitable for global-scale models is currently available. These data are suitable for exploring the general relationships of Vcmax and Jmax with each other and with leaf N, P and SLA. This data set contains one *.csv file.	not-provided
Level_2A_aerosol_cloud_optical_products	Aeolus L2A Aerosol/Cloud optical product	ESA	2021-05-26		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2207498185-ESA.json	"The Level 2A aerosol/cloud optical products of the Aeolus mission include geo-located consolidated backscatter and extinction profiles, backscatter-to-extinction coefficient, LIDAR ratio, scene classification, heterogeneity index and attenuated backscatter signals.   Resolution -        Horizontal resolution of L2A optical properties at observation scale (~87 km);          Exceptions are group properties (horizontal accumulation of measurements from ~3 km to ~87 km) and attenuated backscatters (~3 km);           Note: the resolution of ""groups"" in the L2A can only go down to 5 measurements at the moment, i.e. ~15 km horizontal resolution. This could be configured to go to 1 measurement -        Vertical resolution 250-2000 m (Defined by Range Bin Settings https://earth.esa.int/eogateway/instruments/aladin/overview-of-the-main-wind-rbs-changes)."	not-provided
M1_AVH09C1.v6	METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG	LAADS	2013-01-16		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2187507677-LAADS.json	The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present.   The CDR is critically important to studying global climate change.  The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions.  The LTDR draws from the following eight AVHRR missions:   NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.    Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR).  LAI/fPAR was developed as an experimental product.    The METOP-B AVHRR Atmospherically Corrected Surface Reflectance Daily L3 Global 0.05 Deg CMG, short-name M1_ AVH09C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The M1_ AVH09C1 consist of BRDF-corrected surface reflectance for bands 1, 2, and 3, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), and thermal data (thermal bands 3, 4, and 5). The AVH09C1 product is available in HDF4 file format.  	not-provided
M1_AVH13C1.v6	METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG	LAADS	2013-01-16		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2751635237-LAADS.json	The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present.   The CDR is critically important to studying global climate change.  The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions.  The LTDR draws from the following eight AVHRR missions:   NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B.  Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR).  LAI/fPAR was developed as an experimental product.    The METOP-B AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name M1_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (M1_AVH01C1). The M1_AVH13C1 product is available in HDF4 file format.  	not-provided
MCD14DL_C5_NRT.v005	MODIS/Aqua+Terra Thermal Anomalies/Fire locations 1km FIRMS V005 NRT	LM_FIRMS	2014-01-28		-180, -80, 180, 80	https://cmr.earthdata.nasa.gov/search/concepts/C1219768065-LM_FIRMS.json	Near Real-Time (NRT) MODIS Thermal Anomalies / Fire locations processed by FIRMS (Fire Information for Resource Management System) - Land Atmosphere Near real time Capability for EOS (LANCE), using swath products (MOD14/MYD14) rather than the tiled MOD14A1 and MYD14A1 products. The thermal anomalies / active fire represent the center of a 1km pixel that is flagged by the MODIS MOD14/MYD14 Fire and Thermal Anomalies algorithm (Giglio 2003) as containing one or more fires within the pixel. This is the most basic fire product in which active fires and other thermal anomalies, such as volcanoes, are identified.MCD14DL are available in the following formats: TXT, SHP, KML, WMS. These data are also provided through the FIRMS Fire Email Alerts. Please note only the TXT and SHP files contain all the attributes.	not-provided
MIANACP.v1	MISR Aerosol Climatology Product V001	LARC	1999-11-22		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C185127378-LARC.json	MIANACP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Aerosol Climatology Product version 1. It is 1) the microphysical and scattering characteristics of pure aerosol upon which routine retrievals are based; 2) mixtures of pure aerosol to be compared with MISR observations; and 3) likelihood value assigned to each mode geographically. The ACP describes mixtures of up to three component aerosol types from a list of eight components, in varying proportions. ACP component aerosol particle data quality depends on the ACP input data, which are based on aerosol particles described in the literature, and consider MISR-specific sensitivity to particle size, single-scattering albedo, and shape, and shape - roughly: small, medium and large; dirty and clean; spherical and nonspherical [Kahn et al. , 1998; 2001]. Also reported in the ACP are the mixtures of these components used by the retrieval algorithm. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	not-provided
MIANCAGP.v1	MISR Ancillary Geographic Product V001	LARC	1999-11-07	2005-06-30	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C183897339-LARC.json	MIANCAGP_1 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Geographic Product version 1. It is a set of 233 pre-computed files. Each AGP file pertains to a single Terra orbital path. MISR production software relies on information in the AGP, such as digital terrain elevation, as input to the algorithms which generate MISR products. The AGP contains eleven fields of geographical data. This product consists primarily of geolocation data on a Space Oblique Mercator (SOM) Grid. It has 233 parts, corresponding to the 233 repeat orbits of the EOS-AM1 Spacecraft. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	not-provided
MIANCARP.v2	MISR Ancillary Radiometric Product V002	LARC	1999-12-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C179031521-LARC.json	MIANCARP_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Ancillary Radiometric Product version 2. It is composed of 4 files covering instrument characterization data, pre-flight calibration data, in-flight calibration data, and configuration parameters. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.	not-provided
MIRCCMF.v001	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001	LARC	2000-12-13		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C135857530-LARC.json	Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V001 contains the FIRSTLOOK Radiometric camera-by-camera Cloud Mask (RCCM) dataset produced using ancillary inputs  Radiometric Camera-by-camera Cloud mask Threshold (RCCT) from the previous time period. It is used to determine whether a scene is clear, cloudy or dusty (over ocean).	not-provided
MIRCCMF.v002	MISR FIRSTLOOK radiometric camera-by-camera Cloud Mask V002	LARC	2000-02-24		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2788936281-LARC.json	This is the FIRSTLOOK Radiometric Camera-by-camera Cloud Mask (RCCM) product.  It contains initial estimated classifications of pixels/regions as clear or cloudy.  It also has masks for the presence of glitter or dust.  The FIRSTLOOK RCCM product is superceded by the final RCCM product following seasonal calibration.	not-provided
MISBR.v005	MISR Browse data V005	LARC	1999-12-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C43677744-LARC.json	This is the browse data associated with a particular granule.	not-provided
MURI_Camouflage.v0	A Multi University Research Initiative (MURI) Camouflage Project	OB_DAAC	2010-06-14		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360494-OB_DAAC.json	A Multi University Research Initiative was funded to study the biological response to the dynamic, polarized light field in distinct water types. During June 2010, a campaign was undertaken in the coastal waters off Port Aransas, Texas to study the angular/temporal distribution of polarization in multiple environment types (eutrophic sediment laden coastal waters, oligotrophic off-shore), as well as the polarization-reflectance responses of several organisms. In addition to radiometric polarization measurements, water column IOPs, Rrs, benthic reflectance, and pigment concentration measurements were collected. Later campaigns expanded this research in the coastal waters off the Florida Keys.	not-provided
MURI_HI.v0	A Multi University Research Initiative (MURI) near the Hawaiian Islands	OB_DAAC	2012-05-31		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360508-OB_DAAC.json	Measurements taken by the RV Kilo Moana in 2012 near the Hawaiian Islands.	not-provided
MYD021KM.v6.1NRT	MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426616847-LANCEMODIS.json	The MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 36 discrete bands located in the 0.4 to 14.4 micron region of electromagentic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for the solar reflective bands (1-19, 26) through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry).  Additional data are provided including quality flags, error estimates and calibration data.               Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.    Channel locations for MODIS are as follows:         Band   Center Wavelength (um)    Primary Use----   ----------------------    -----------1          0.620  - 0.670        Land/Cloud Boundaries2          0.841  - 0.876        Land/Cloud Boundaries3          0.459  - 0.479        Land/Cloud Properties4          0.545  - 0.565        Land/Cloud Properties5          1.230  - 1.250        Land/Cloud Properties6          1.628  - 1.652        Land/Cloud Properties7          2.105  - 2.155        Land/Cloud Properties8          0.405  - 0.420        Ocean Color/Phytoplankton9          0.438  - 0.448        Ocean Color/Phytoplankton10         0.483  - 0.493        Ocean Color/Phytoplankton11         0.526  - 0.536        Ocean Color/Phytoplankton12         0.546  - 0.556        Ocean Color/Phytoplankton13         0.662  - 0.672        Ocean Color/Phytoplankton14         0.673  - 0.683        Ocean Color/Phytoplankton15         0.743  - 0.753        Ocean Color/Phytoplankton16         0.862  - 0.877        Ocean Color/Phytoplankton17         0.890  - 0.920        Atmospheric Water Vapor18         0.931  - 0.941        Atmospheric Water Vapor19         0.915  - 0.965        Atmospheric Water Vapor20         3.660  - 3.840        Surface/Cloud Temperature21         3.929  - 3.989        Surface/Cloud Temperature22         3.929  - 3.989        Surface/Cloud Temperature23         4.020  - 4.080        Surface/Cloud Temperature24         4.433  - 4.498        Atmospheric Temperature25         4.482  - 4.549        Atmospheric Temperature26         1.360  - 1.390        Cirrus Clouds27         6.535  - 6.895        Water Vapor Profile28         7.175  - 7.475        Water Vapor Profile29         8.400  - 8.700        Water Vapor Profile30         9.580  - 9.880        Ozone Overburden31         10.780 - 11.280       Surface/Cloud Temperature32         11.770 - 12.270       Surface/Cloud Temperature33         13.185 - 13.485       Cloud Top Altitude34         13.485 - 13.785       Cloud Top Altitude35         13.785 - 14.085       Cloud Top Altitude36         14.085 - 14.385       Cloud Top Altitude         Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500m resolution, and the rest have 1 km resolution. However, for the MODIS L1B 1 km product, the 250 m and 500 m band radiance data and their associated uncertainties have been aggregated to 1km resolution. Thus the entire channel data set is referenced to the same spatial and geolocation scales. Separate L1B products are available for the 250 m channels (MYD02QKM) and 500 m channels (MYD02HKM) that preserve the original resolution of the data.         Spatial resolution for pixels at nadir is 1 km, degrading to 4.8 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 2km.  A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B granule will nominally contain a scene built from 203 scans (or swaths) sampled 1354 times in the cross-track direction, corresponding to approximately 5 minutes worth of data. Since an individual MODIS scan (or swath) will contain 10 along-track spatial elements, the scene will be composed of (1354 x 2030) pixels, resulting in a spatial coverage of (2330 km x 2030 km). Due to the  MODIS scan geometry, there will be increasing overlap occurring beyond about 25 degrees scan angle.         To summarize, the MODIS L1B 1 km data product consists of:          1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands aggregated to 1km resolution          2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands aggregated to 1 km resolution          3. Calibrated radiances and uncertainties for (13) 1 km reflected solar bands and (16) infrared emissive bands          4. Geolocation subsampled at every 5th pixel across and along track          5. Satellite and solar angles subsampled at the above frequency          6. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization.         The MODIS L1B data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 260 MB.         Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world.         The Shortname for this product is MYD021KM	not-provided
MYD02HKM.v6.1NRT	MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 500m - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426617060-LANCEMODIS.json	The 500 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated at-aperture radiances for 7 discrete bands located in the 0.45 to 2.20 micron region of the electromagnetic spectrum. These data are generated from the MODIS Level 1A scans of raw radiance and in the process converted to geophysical units of W/(m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands through knowledge of the solar irradiance (e.g., determined from MODIS solar diffuser data, and from the target illumination geometry).  Additional data are provided including quality flags, error estimates and calibration data.  Visible, shortwave infrared, and near infrared measurements are only made during the daytime, while radiances for the thermal infrared region (bands 20-25, 27-36) are measured continuously.  Channel locations for the MODIS 500 meter data are as follows:  Band   Center Wavelength (um)    Primary Use ----   ----------------------    ----------- 1          0.620  - 0.670        Land/Cloud Boundaries 2          0.841  - 0.876        Land/Cloud Boundaries 3          0.459  - 0.479        Land/Cloud Properties 4          0.545  - 0.565        Land/Cloud Properties 5          1.230  - 1.250        Land/Cloud Properties 6          1.628  - 1.652        Land/Cloud Properties 7          2.105  - 2.155        Land/Cloud Properties  Channels 1 and 2 have 250 m resolution, channels 3 through 7 have 500 m resolution. However, for the MODIS L1B 500 m product, the 250 m band radiance data and their associated uncertainties have been aggregated to 500 m resolution. Thus the entire channel data set has been co-registered to the same spatial scale in the 500 m product. Separate L1B products are available for the 250 m resolution channels (MYD02QKM) and 1 km resolution channels (MYD021KM). For the latter product, the 250 m and 500 m channel data (bands 1 through 7) have been aggregated into equivalent 1 km pixel values.  Spatial resolution for pixels at nadir is 500 km, degrading to 2.4 km in the along-scan direction at the scan extremes. However, thanks to the overlapping of consecutive swaths and respectively pixels there, the resulting resolution at the scan extremes is about 1 km. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 500 m granule will contain a scene built from 203 scans sampled 2708 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 20 along-track spatial elements for the 500 m channels, the scene will be composed of (2708 x 4060) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 20 degrees scan angle.  To summarize, the MODIS L1B 500 m data product consists of:  1. Calibrated radiances, uncertainties and number of samples for (2) 250 m reflected solar bands aggregated to 500 m resolution  2. Calibrated radiances and uncertainties for (5) 500 m reflected solar bands  3. Geolocation for 1km pixels, that must be interpolated to get 500 m pixel locations. For the relationship of 1km pixels to 500m pixels, see the Geolocation ATBD http://modis.gsfc.nasa.gov/data/atbd/atbd_mod28_v3.pdf .  4. Calibration data for all channels (scale and offset)  5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter  attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization   The MODIS L1B 500 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB.  Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world.  The Shortname for this product is MYD02HKM	not-provided
MYD02QKM.v6.1NRT	MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 250m - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426621826-LANCEMODIS.json	The 250 meter MODIS Level 1B Near Real Time (NRT) data set contains calibrated and geolocated  at-aperture radiances for 2 discrete bands located in the 0.62 to 0.88 micron  region of the electromagnetic spectrum. These data are generated from the MODIS  Level 1A scans of raw radiance and in the process converted to geophysical  units of W / (m^2 um sr). In addition, the Earth Bi-directional Reflectance Distribution Function (BRDF) may be determined for these solar reflective bands  through knowledge of the solar irradiance (e.g., determined from MODIS solar  diffuser data, and from the target illumination geometry).  Additional data are  provided including quality flags, error estimates and calibration data. Channel locations for the MODIS 250 meter data are as follows:  Band   Center Wavelength (um)    Primary Use ----   ----------------------    ----------- 1          0.620  - 0.670        Land/Cloud Boundaries 2          0.841  - 0.876        Land/Cloud Boundaries  Separate L1B products are available for the five 500 m resolution channels (MYD02HKM) and the twenty-nine 1 km resolution channels (MYD021KM). For the 500 m product, there are actually seven channels available since the data from the two 250 m channels have been aggregated to 500 m resolution.  Similarly, for the 1 km product, all 36 MODIS channels are available since the data from the two 250 m and five 500 m channels have been aggregated into equivalent 1 km pixel values.  Spatial resolution for pixels at nadir is 250 m, degrading to 1.2 km in the along-scan direction and 0.5 km in the along-track direction for pixels located at the scan extremes. A 55 degree scanning pattern at the EOS orbit of 705 km results in a 2330 km orbital swath width and provides global coverage every one to two days. A single MODIS Level 1B 250 m granule will contain a scene built from 203 scans sampled 5416 times in the cross-track direction, corresponding to approximately 5 minutes worth of data; thus 288 granules will be produced per day. Since an individual MODIS scan will contain 40 along-track spatial elements for the 250 m channels, the scene will be composed of (5416 x 8120) pixels, resulting in a spatial coverage of (2330 km x 2040 km). Due to the MODIS scan geometry, there will be increasing scan overlap beyond about 17 degrees scan angle. To summarize, the MODIS L1B 250 m data product consists of:  1. Calibrated radiances and uncertainties for (2) 250 m reflected solar bands  2. Subsampled geolocation at every 4th 250 m pixel across and along track, i.e., a geolocation point every kilometer  3. Satellite and solar angles subsampled at the above frequency  4. Calibration data for all channels (scale and offset)  5. Comprehensive set of file-level metadata summarizing the spatial, temporal and parameter attributes of the data, as well as auxiliary information pertaining to instrument status and data quality characterization  The MODIS L1B 250 m data are stored in the Earth Observing System Hierarchical Data Format (HDF-EOS) which is an extension of HDF as developed by the National Center for Supercomputer Applications (NCSA) at the University of Illinois. A typical file size will be approximately 170 MB.  Environmental information derived from MODIS L1B measurements will offer a comprehensive and unprecedented look at terrestrial, atmospheric, and ocean phenomenology for a wide and diverse community of users throughout the world. The Shortname for this product is MYD02QKM	not-provided
MYD04_3K.v6.1NRT	MODIS/Aqua Aerosol 5-Min L2 Swath 3km - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426717545-LANCEMODIS.json	The new Collection 6.1 (C61) MYD04_3K product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.  The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MOD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MOD04_3k) intended for the air quality community.  The MOD04_3K product is based on the same algorithm and Look up Tables as the standard Dark Target aerosol product. Because of finer resolution, subtle differences are made in selecting pixels for retrieval and in determining QA. The only differences between the existing 10km algorithm and the 3km algorithm are: 1) the size of the pixel-arrays defining each retrieval box (6x6 retrieval boxes of 36 pixels at 0.5km resolution for 3km algorithm as oppose to 20x20 retrieval boxes of 400 pixels at 0.5km resolution for 10km product); 2) the minimum percentage of good pixels required for a retrieval (a minimum of 5 pixels over ocean and 6 pixels over land instead of a minimum of 10 pixels over ocean or 12 pixels over land for 10km product retrieval); 3) the 10km algorithm attempts a poor quality retrieval while 3km algorithm does not. Everything else is same in two products.  For more information on C6.1 changes and updates, visit the MODIS Atmosphere website at: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61	not-provided
MYD04_L2.v6.1NRT	MODIS/Aqua Aerosol 5-Min L2 Swath 10km - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426751946-LANCEMODIS.json	The new Collection 6.1 (C61) MYD04_L2 product is an improved version based on algorithm changes in Dark Target (DT) Aerosol retrieval over urban areas and uncertainty estimates for Deep Blue (DB) Aerosol retrievals.  The MODIS level-2 atmospheric aerosol product provides retrieved ambient aerosol optical properties, quality assurance, and other parameters, globally over ocean and land. In Collection 5, and earlier collections, there was only one aerosol product (MYD04_L2) at 10km (at nadir) spatial resolution. Starting from C6, the Dark Target (DT) Aerosol algorithm team provided a new 3 km spatial resolution product (MYD04_3k) intended for the air quality community.  For more information visit the MODIS Atmosphere website at: https://modis-atmos.gsfc.nasa.gov/products/aerosol  And, for C6.1 changes and updates, visit: https://modis-atmosphere.gsfc.nasa.gov/documentation/collection-61	not-provided
MYD09.v6.1NRT	MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT	LANCEMODIS	2021-02-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2007652303-LANCEMODIS.json	The MODIS/Aqua Atmospherically Corrected Surface Reflectance 5-Min L2 Swath 250m, 500m, 1km NRT, short name MYD09, is computed from the MODIS Level 1B land bands 1, 2, 3, 4, 5, 6, and 7 (centered at 648 nm, 858 nm, 470 nm, 555 nm, 1240 nm, 1640 nm, and 2130 nm, respectively). The product is an estimate of the surface spectral reflectance for each band as it would have been measured at ground level if there were no atmospheric scattering or absorption. The surface-reflectance product is the input for product generation for several land products: vegetation Indices (VIs), BRDF, thermal anomaly, snow/ice, and Fraction of Photosynthetically Active Radiation/Leaf Area Index (FPAR/LAI).	not-provided
MYD09CMA.v6.1NRT	MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA NRT	LANCEMODIS	2021-02-07		-180, -81, 180, 81	https://cmr.earthdata.nasa.gov/search/concepts/C2007652084-LANCEMODIS.json	The MODIS/Aqua Aerosol Optical Thickness Daily L3 Global 0.05-Deg CMA Near Real Time (NRT), short name MYD09CMA, is a daily level 3 global product. It is in linear latitude and longitude (Plate Carre) projection with a 0.05Deg spatial resolution. This product is derived from MYD09IDN, MYD09IDT and MYD09IDS for each orbit by compositing the data on the basis of minimum band 3 (459 - 479 nm band) values (after excluding pixels flagged for clouds and high solar zenith angles).	not-provided
MYDGB0.v6.1NRT	MODIS/Aqua 5-minute GBAD data in L0 format - NRT	LANCEMODIS	2017-10-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1427015288-LANCEMODIS.json	MODIS/Aqua Near Real Time (NRT) 5-minute GBAD data in L0 format.	not-provided
NBII_SAIN2	1986-1988 Plot-Transect Installation - Roan Mountain Massif Content Management	SCIOPS	1987-01-01	1988-01-01	-82.13472, 36.08544, -82.01191, 36.15365	https://cmr.earthdata.nasa.gov/search/concepts/C1214586476-SCIOPS.json	"This data set contains information on a set of transects and plots that were originally installed in 1987 and 1988 on the grassy balds of the Roan Mountain Massif (Round Bald, Engine Gap, Jane Bald, Grassy Ridge, Big Yellow Mountain (also known as Yellow Mountain), Little Hump Mountain, Bradley Gap, and Hump Mountain (also known as Big Hump Mountain). Data collected from the transects and plots were to characterize baseline conditions against which the effects of future vegetation management actions could be evaluated.   This legacy dataset contains information on the baseline (pre-management) conditions of the grassy balds based on the field collections and analysis of the data collected at transects and plots installed in 1987 and 1988. More specifically, this legacy dataset contains information on the first vegetation composition analysis and first comprehensive plant inventory conducted on the Roan Mountain grassy bald complex.   Information that describes this dataset primarily comes from the following sources: various field reports, memos, letters, grant proposals, hardcopies of the 1987 and 1988 data sheets, photos of the original transects and plots, and interviews with the originators of the transect and plot data.  This metadata record documents legacy data to the extent practical, as required by Executive Order 12906, ""Coordinating Geographic Data Acquisition and Access: The National Spatial Data Infrastructure"", dated April 11, 1994. Details may be missing, but given the resources available, the information provided herein is as concise as possible at this point in time."	not-provided
NEX-DCP30.v1	Downscaled 30 Arc-Second CMIP5 Climate Projections for Studies of Climate Change Impacts in the United States	NCCS	1950-01-01	2099-12-31	-125.0208333, 24.0625, -66.4791667, 49.9375	https://cmr.earthdata.nasa.gov/search/concepts/C1542175061-NCCS.json	This NASA dataset is provided to assist the science community in conducting studies of climate  change impacts at local to regional scales, and to enhance public understanding of possible future  climate patterns and climate impacts at the scale of individual neighborhoods and communities.  This dataset is intended for use in scientific research only, and use of this dataset for other  purposes, such as commercial applications, and engineering or design studies is not  recommended without consultation with a qualified expert. Community feedback to improve and  validate the dataset for modeling usage is appreciated. Email comments to  bridget@climateanalyticsgroup.org.  Dataset File Name: NASA Earth Exchange (NEX) Downscaled Climate Projections (NEXDCP30),  https://portal.nccs.nasa.gov/portal_home/published/NEX.html	not-provided
NEX-GDDP.v1	NASA Earth Exchange Global Daily Downscaled Projections	NCCS	1950-01-01	2100-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1374483929-NCCS.json	The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs). The CMIP5 GCM runs were developed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The NEX-GDDP dataset includes downscaled projections for RCP 4.5 and RCP 8.5 from the 21 models and scenarios for which daily scenarios were produced and distributed under CMIP5. Each of the climate projections includes daily maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2100. The spatial resolution of the dataset is 0.25 degrees (~25 km x 25 km). The NEX-GDDP dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future global climate patterns at the spatial scale of individual towns, cities, and watersheds.    Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run). 	not-provided
NIPR_UAP_ELF_SYO	1-100Hz ULF/ELF Electromagnetic Wave Observation at Syowa Station	SCIOPS	2000-01-01		39.6, -69, 39.6, -69	https://cmr.earthdata.nasa.gov/search/concepts/C1214590112-SCIOPS.json	1-100Hz ULF/ELF Electromagnetic Wave Observation at Syowa Station	not-provided
NMMIEAI-L2-NRT.v2	OMPS-NPP L2 NM Aerosol Index swath orbital NRT	OMINRT	2011-11-07		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1657477341-OMINRT.json	The OMPS-NPP L2 NM Aerosol Index swath orbital V2 for Near Real Time. For the standard product see the OMPS_NPP_NMMIEAI_L2  product in CMR .The aerosol index is derived from normalized radiances using 2 wavelength pairs at 340 and 378.5 nm. Additionally, this data product contains measurements of normalized radiances, reflectivity, cloud fraction, reflectivity, and other ancillary variables.   	not-provided
NMSO2-PCA-L2-NRT.v2	OMPS/NPP PCA SO2 Total Column 1-Orbit L2 Swath 50x50km NRT	OMINRT	2011-10-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1439293808-OMINRT.json	The OMPS-NPP L2 NM Sulfur Dioxide (SO2) Total and Tropospheric Column swath orbital collection 2 version 2.0 product contains the retrieved sulfur dioxide (SO2) measured by the Ozone Mapping and Profiling Suite (OMPS) Nadir-Mapper (NM) sensor on the Suomi-NPP satellite. A Principle Component Analysis (PCA) algorithm is used to retrieve the SO2 total column amount and column amounts in the lower (centered at 2.5 km), middle (centered at 7.5 km) and upper (centered at 11 km) troposphere, as well as the lower stratosphere (centered at 16 km). Each granule contains data from the daylight portion for a single orbit or about 50 minutes. Spatial coverage is global (-90 to 90 degrees latitude), and there are about 14 orbits per day each with a swath width of 2600 km. There are 35 pixels in the cross-track direction, with a pixel resolution of about 50 km x 50 km at nadir. The files are written using the Hierarchical Data Format Version 5 or HDF5.	not-provided
NMTO3NRT.v2	OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT	OMINRT	2011-10-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1439272084-OMINRT.json	The OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital product provides  total ozone measurements from the Ozone Mapping and Profiling Suite (OMPS)  Nadir-Mapper (NM) instrument on the Suomi-NPP satellite.The total column  ozone amount is derived from normalized radiances using 2 wavelength pairs  317.5 and 331.2 nm under most conditions, and 331.2 and 360 nm for high  ozone and high solar zenith angle conditions. Additionally, this data  product contains measurements of UV aerosol index and reflectivity at  331 nm.Each granule contains data from the daylight portion of each orbit  measured for a full day. Spatial coverage is global (-90 to  90 degrees  latitude), and there are about 14.5 orbits per day, each has typically 400  swaths. The swath width of the NM is about 2800 km with 36 scenes, or  pixels, with a footprint size of 50 km x 50 km at nadir. The L2 NM Ozone  data are written using the Hierarchical Data Format Version 5 or HDF5.	not-provided
NPBUVO3-L2-NRT.v2	OMPS-NPP L2 NP Ozone (O3) Vertical Profile swath orbital NRT	OMINRT	2011-10-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1439296101-OMINRT.json	The OMPS-NPP L2 NP Ozone (O3) Total Column swath orbital product provides ozone profile retrievals from the Ozone Mapping and Profiling Suite (OMPS) Nadir-Profiler (NP) instrument on the Suomi-NPP satellite in Near Real Time. The V8 ozone profile algorithm relies on nadir profiler measurements made in the 250 to 310 nm range, as well as from measurements from the nadir mapper in the 300 to 380 nm range. Ozone mixing ratios are reported at 15 pressure levels between 50 and 0.5 hPa. Additionally, this data product contains measurements of total ozone, UV aerosol index and reflectivities at 331 and 380 nm. Each granule contains data from the daylight portion of each orbit measured for a full day. Spatial coverage is global (-82 to +82 degrees latitude), and there are about 14.5 orbits per day, each has typically 80 profiles. The NP footprint size is 250 km x 250 km. The L2 NP Ozone data are written using the Hierarchical Data Format Version 5 or HDF5.	not-provided
NRSCC_GLASS_ FAPAR_MODIS_0.05D.v11	NRSCC_GLASS_ FAPAR_MODIS_0.05D	NRSCC	2010-02-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351149-NRSCC.json	This Global LAnd Surface Satellite (GLASS) Fraction of Absorbed Photosynthetically Active Radiation (FAPAR)  product was generated using MODIS products.	not-provided
NRSCC_GLASS_ FAPAR_MODIS_1KM.v11	NRSCC_GLASS_ FAPAR_MODIS_1KM	NRSCC	2000-02-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351155-NRSCC.json	This Global LAnd Surface Satellite (GLASS)  Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) product was developed using MODIS datasets.	not-provided
NRSCC_GLASS_ LAI_AVHRR_0.05D.v11	NRSCC_GLASS_ LAI_AVHRR_0.05D	NRSCC	1981-01-01	2018-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351175-NRSCC.json	This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI)  product was developed using AVHRR datasets.	not-provided
NRSCC_GLASS_ LAI_MODIS_0.05D.v11	NRSCC_GLASS_ LAI_MODIS_0.05D	NRSCC	2000-02-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351151-NRSCC.json	This Global LAnd Surface Satellite (GLASS) Leaf Area Index (LAI) product was developed using MODIS datasets.	not-provided
NRSCC_GLASS_Albedo_AVHRR.v11	NRSCC_GLASS_Albedo_AVHRR	NRSCC	2002-01-01	2015-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351177-NRSCC.json	Global high-resolution land surface albedo data from NOAA/AVHRR, generated by Global LAnd Surface Satellite (GLASS) Dataset production team.	not-provided
NRSCC_GLASS_Albedo_MODIS_0.05D.v11	NRSCC_GLASS_Albedo_MODIS_0.05D	NRSCC	2000-01-01	2018-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351167-NRSCC.json	The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS.  The horizontal resolution is 0.05 Degree.	not-provided
NRSCC_GLASS_Albedo_MODIS_1KM.v11	NRSCC_GLASS_Albedo_MODIS_1KM	NRSCC	2000-01-01	2018-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351152-NRSCC.json	The Global LAnd Surface Satellite (GLASS) Albedo product derived from MODIS. The horizontal resolution is 1KM.	not-provided
NRSCC_GLASS_BBE_AVHRR.v11	NRSCC_GLASS_BBE_AVHRR	NRSCC	1982-01-01	2017-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351148-NRSCC.json	The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from AVHRR.	not-provided
NRSCC_GLASS_BBE_MODIS_0.05D.v11	NRSCC_GLASS_BBE_MODIS_0.05D	NRSCC	2000-02-18	2018-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351185-NRSCC.json	The Global LAnd Surface Satellite (GLASS) broadband emissivity (BBE) product derived from MODIS. The horizontal resolution is 0.05 Degree.	not-provided
NRSCC_GLASS_BBE_MODIS_1KM.v11	NRSCC_GLASS_BBE_MODIS_1KM	NRSCC	2000-02-18	2018-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2205351153-NRSCC.json	NRSCC_GLASS_BBE_MODIS_1KM	not-provided
NSF-ANT05-37371	A Broadband Seismic Experiment to Image the Lithosphere Beneath the Gamburtsev Mountains and Surrounding Areas, East Antarctica	AMD_USAPDC	2007-10-01	2013-09-30	40, -84, 140, -76	https://cmr.earthdata.nasa.gov/search/concepts/C2532069799-AMD_USAPDC.json	This award supports a seismological study of the Gamburtsev Subglacial Mountains (GSM), a Texas-sized mountain range buried beneath the ice sheets of East Antarctica. The project will perform a passive seismic experiment deploying twenty-three seismic stations over the GSM to characterize the structure of the crust and upper mantle, and determine the processes driving uplift. The outcomes will also offer constraints on the terrestrial heat flux, a key variable in modeling ice sheet formation and behavior. Virtually unexplored, the GSM represents the largest unstudied area of crustal uplift on earth. As well, the region is the starting point for growth of the Antarctic ice sheets.  Because of these outstanding questions, the GSM has been identified by the international Antarctic science community as a research focus for the International Polar Year (2007-2009). In addition to this seismic experiment, NSF is also supporting an aerogeophysical survey of the GSM under award number 0632292. Major international partners in the project include Germany, China, Australia, and the United Kingdom. For more information see IPY Project #67 at IPY.org. In terms of broader impacts, this project also supports postdoctoral and graduate student research, and various forms of outreach.	not-provided
NSF-ANT10-43485.v1	A New Reconstruction of the Last West Antarctic Ice Sheet Deglaciation in the Ross Sea	AMD_USAPDC	2011-07-01	2015-06-30	-160, -78, -150, -68	https://cmr.earthdata.nasa.gov/search/concepts/C2532069944-AMD_USAPDC.json	This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation. 	not-provided
NSF-ANT10-43517	A new reconstruction of the last West Antarctic Ice Sheet deglaciation in the Ross Sea	AMD_USAPDC	2011-07-01	2015-06-30	163.5, -78.32, 165.35, -77.57	https://cmr.earthdata.nasa.gov/search/concepts/C2532070432-AMD_USAPDC.json	This award supports a project to develop a better understanding of the response of the WAIS to climate change. The timing of the last deglaciation of the western Ross Sea will be improved using in situ terrestrial cosmogenic nuclides (3He, 10Be, 14C, 26Al, 36Cl) to date glacial erratics at key areas and elevations along the western Ross Sea coast. A state-of-the art ice sheet-shelf model will be used to identify mechanisms of deglaciation of the Ross Sea sector of WAIS. The model results and forcing will be compared with observations including the new cosmogenic data proposed here, with the aim of better determining and understanding the history and causes of WAIS deglaciation in the Ross Sea. There is considerable uncertainty, however, in the history of grounding line retreat from its last glacial maximum position, and virtually nothing is known about the timing of ice- surface lowering prior to ~10,000 years ago. Given these uncertainties, we are currently unable to assess one of the most important questions regarding the last deglaciation of the global ice sheets, namely as to whether the Ross Sea sector of WAIS contributed significantly to meltwater pulse 1A (MWP-1A), an extraordinarily rapid (~500-year duration) episode of ~20 m sea-level rise that occurred ~14,500 years ago. The intellectual merit of this project is that recent observations of startling changes at the margins of the Greenland and Antarctic ice sheets indicate that dynamic responses to warming may play a much greater role in the future mass balance of ice sheets than considered in current numerical projections of sea level rise. The broader impacts of this work are that it has direct societal relevance to developing an improved understanding of the response of the West Antarctic ice sheet to current and possible future environmental changes including the sea-level response to glacier and ice sheet melting due to global warming. The PI will communicate results from this project to a variety of audiences through the publication of peer-reviewed papers and by giving talks to public audiences. Finally the project will support a graduate student and undergraduate students in all phases of field-work, laboratory work and data interpretation.	not-provided
NSF-ANT10-43621	A Comparison of Conjugate Auroral Electojet Indices	AMD_USAPDC	2011-06-01	2013-05-31	-180, -79.5, 180, -54.5	https://cmr.earthdata.nasa.gov/search/concepts/C2532069751-AMD_USAPDC.json	The auroral electrojet index (AE) is used as an indicator of geomagnetic activity at high latitudes representing the strength of auroral electrojet currents in the Northern polar ionosphere. A similar AE index for the Southern hemisphere is not available due to lack of complete coverage the Southern auroral zone (half of which extends over the ocean) with continuous magnetometer observations. While in general global auroral phenomena are expected to be conjugate, differences have been observed in the conjugate observations from the ground and from the Earth's satellites. These differences indicate a need for an equivalent Southern auroral geomagnetic activity index. The goal of this award is to create the Southern AE (SAE) index that would accurately reflect auroral activity in that hemisphere. With this index, it would be possible to investigate the similarities and the cause of differences between the SAE and 'standard' AE index from the Northern hemisphere. It would also make it possible to identify when the SAE does not provide a reliable calculation of the Southern hemisphere activity, and to determine when it is statistically beneficial to consider the SAE index in addition to the standard AE while analyzing geospace data from the Northern and Southern polar regions. The study will address these questions by creating the SAE index and its 'near-conjugate' NAE index from collected Antarctic magnetometer data, and will analyze variations in the cross-correlation of these indices and their differences as a function of geomagnetic activity, season, Universal Time, Magnetic Local Time, and interplanetary magnetic field and solar wind plasma parameters. The broader impact resulting from the proposed effort is in its importance to the worldwide geospace scientific community that currently uses only the standard AE index in a variety of geospace models as necessary input. 	not-provided
NSF-ANT13-55533.v1	A Multi-decadal Record of Antarctic Benthos: Image Analysis to Maximize Data Utilization	AMD_USAPDC	2013-10-01	2015-09-30	163, -78.5, 167, -78	https://cmr.earthdata.nasa.gov/search/concepts/C2532070231-AMD_USAPDC.json	Antarctic benthic communities are characterized by many species of sponges (Phylum Porifera), long thought to exhibit extremely slow demographic patterns of settlement, growth and reproduction. This project will analyze many hundreds of diver and remotely operated underwater vehicle photographs documenting a unique, episodic settlement event that occurred between 2000 and 2010 in McMurdo Sound that challenges this paradigm of slow growth. Artificial structures were placed on the seafloor between 1967 and 1974 at several sites, but no sponges were observed to settle on these structures until 2004. By 2010 some 40 species of sponges had settled and grown to be surprisingly large. Given the paradigm of slow settlement and growth supported by the long observation period (37 years, 1967-2004), this extraordinary large-scale settlement and rapid growth over just a 6-year time span is astonishing. This project utilizes image processing software (ImageJ) to obtain metrics (linear dimensions to estimate size, frequency, percent cover) for sponges and other fauna visible in the photographs. It uses R to conduct multidimensional scaling to ordinate community data and ANOSIM to test for differences of community data among sites and times and structures. It will also use SIMPER and ranked species abundances to discriminate species responsible for any differences. This work focuses on Antarctic sponges, but the observations of massive episodic recruitment and growth are important to understanding seafloor communities worldwide. Ecosystems are composed of populations, and populations are ecologically described by their distribution and abundance. A little appreciated fact is that sponges often dominate marine communities, but because sponges are so hard to study, most workers focus on other groups such as corals, kelps, or bivalves. Because most sponges settle and grow slowly their life history is virtually unstudied. The assumption of relative stasis of the Antarctic seafloor community is common, and this project will shatter this paradigm by documenting a dramatic episodic event. Finally, the project takes advantage of old transects from the 1960s and 1970s and compares them with extensive 2010 surveys of the same habitats and sometimes the same intact transect lines, offering a long-term perspective of community change. The investigators will publish these results in peer-reviewed journals, give presentations to the general public and will involve students from local outreach programs, high schools, and undergraduates at UCSD to help with the analysis.	not-provided
NSIDC-0212.v1	Airborne Cloud Radar (ACR) Reflectivity, Wakasa Bay, Japan, Version 1	NSIDCV0	2003-01-14	2003-02-03	130, 30, 150, 40	https://cmr.earthdata.nasa.gov/search/concepts/C1386204153-NSIDCV0.json	This data set includes 94 GHz co- and cross-polarized radar reflectivity. The Airborne Cloud Radar (ACR) sensor was mounted to a NASA P-3 aircraft flown over the Sea of Japan, the Western Pacific Ocean, and the Japanese Islands.	not-provided
OMAERUV.v003	OMI/Aura Near UV Aerosol Optical Depth and Single Scattering Albedo 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000120-OMINRT.json	The OMI/Aura level-2 near UV Aerosol data product 'OMAERUV', recently re-processed using an enhanced algorithm, is now released (April 2012) to the public. The data is available from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml NASA Aura satellite sensors are tracking important atmospheric pollutants from space since its launch in July, 2004. The Ozone Monitoring Instrument(OMI), one of the four Aura satellite sensors with its 2600 km viewing swath width provides daily global measurements of four important US Environmental Protection Agency criteria pollutants (Tropospheric ozone, Nitrogen dioxide,Sulfur dioxide and Aerosols from biomass burning and industrial emissions, HCHO, BrO, OClO and surface UV irradiance. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). The Level-2 OMI Aerosol Product OMAERUV from the Aura-OMI is now available from NASAs GSFC Earth Sciences (GES) Data and Information Services Center (DISC) for public access. OMAERUV retrieval algorithm is developed by the US OMI Team Scientists. Dr. Omar Torres (GSFC/NASA) is the principal investigator of this product. The OMAERUV product contains Aerosol Absorption and Aerosol Extinction Optical Depths, and Single Scattering Albedo at three different wavelengths (354, 388 and 500 nm), Aerosol Index, and other ancillary and geolocation parameters, in the OMI field of view (13x24 km). Another standard OMI aerosol product is OMAERO, that is based on the KNMI multi-wavelength spectral fitting algorithm. OMAERUV files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMAERUV data product is about 6 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMAERUV Readme Document that includes brief algorithm description and currently known data quality issues is provided by the OMAERUV Algorithm lead (see http://disc.gsfc.nasa.gov/Aura/OMI/omaeruv_v003.shtml) For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/ . OMAERUV Data Groups and Parameters: The OMAERUV data file contains a swath which consists of two groups: Data fields: Total Aerosol Optical Depth (extinction optical depth) and Aerosol Absorption Optical Depths (at 354, 388 and 500 nm), Single Scattering Albedo, UV Aerosol Index, Visible Aerosol Index, and other intermediate and ancillary parameters (e.g. Estimates of Aerosol Total Extinction and Absorption Optical Depths and Single Scattering Albedo at five atmospheric levels, Aerosol Type, Aerosol Layer Height, Normalized Radiance, Lambert equivalent Reflectivity, Surface Albedo, Imaginary Component of Refractive Index) and Data Quality Flags. Geolocation Fields: Latitude, Longitude, Time(TAI93), Seconds, Solar Zenith Angles, Viewing Zenith Angles, Relative Azimuth Angle, Terrain Pressure, Ground Pixel Quality Flags. For the full set of Aura products available from the GES DISC, please see the link below. http://disc.sci.gsfc.nasa.gov/Aura/ Atmospheric Composition data from Aura and other satellite sensors can be ordered from the following sites: http://disc.sci.gsfc.nasa.gov/acdisc/ 	not-provided
OMCLDRR.v003	OMI/Aura Cloud Pressure and Fraction (Raman Scattering) 1-Orbit L2 Swath 13x24 km V003 NRT	OMINRT	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000100-OMINRT.json	The reprocessed Aura OMI Version 003 Level 2 Cloud Data Product OMCLDRR is made available (in April 2012) to the public from the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC). http://disc.gsfc.nasa.gov/Aura/OMI/omcldrr_v003.shtml ) Aura OMI provides two Level-2 Cloud products (OMCLDRR and OMCLDO2) at pixel resolution (13 x 24 km at nadir) that are based on two different algorithms, the Rotational Raman Scattering method and the O2-O2 absorption method. This level-2 global cloud product (OMCLDRR) provides effective cloud pressure and effective cloud fraction that is based on the least square fitting of the Ring spectrum (filling-in of Fraunhofer lines in the range 392 to 398 nm due to rotational Raman scattering). This product also contains many ancillary and derived parameters, terrain and geolocation information, solar and satellite viewing angles, and quality flags. The shortname for this Level-2 OMI Cloud Pressure and Fraction product is OMCLDRR and the algorithm lead for this product is NASA OMI scientist Dr. Joanna Joinner. OMCLDRR files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMCLDRR data product is about 9 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml . A short OMCLDRR Readme Document that includes brief algorithm description and data quality is also provided by the OMCLDRR Algorithm lead. The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products are archived at the NASA GES DISC. For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/instruments/omi/ http://www.knmi.nl/omi/research/documents/ . Data Category Parameters: The OMCLDRR data file contains one swath which consists of two groups: Data fields: Two Effective Cloud Fraction and two Cloud Top Pressures that are based on two different clear and cloudy scene reflectivity criteria, Chlorophyll Amount, Effective Reflectivity (394.1 micron), UV Aerosol Index (based on 360 and 388 nm), and many Auxiliary Algorithm Parameter and Quality Flags. Geolocation Fields: Latitude, Longitude, Time, Solar Zenith Angle, Viewing Zenith Angle, Relative Azimuth Angle, Terrain Height, and Ground Pixel Quality Flags. OMI Atmospheric data and documents are available from the following sites: http://disc.gsfc.nasa.gov/Aura/OMI/ http://mirador.gsfc.nasa.gov/	not-provided
OMICOL3NRT.v3	Ozone Monitoring Instrument Near Real Time Data for v3	OMINRT	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000040-OMINRT.json	This collection contains Near Real Time Data from the Ozone Monitoring Instrument(OMI).The OMI instrument employs hyperspectral imaging in a push-broom mode to observe solar backscatter radiation in the visible and ultraviolet.	not-provided
OMSO2.v003	OMI/Aura Sulphur Dioxide (SO2) Total Column 1-orbit L2 Swath 13x24 km V003 NRT	OMINRT	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000121-OMINRT.json	The Ozone Monitoring Instrument (OMI) was launched aboard the EOS-Aura  satellite on July 15, 2004 (1:38 pm equator crossing time, ascending  mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Space Office (NSO) in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal  investigator (Dr. Pieternel Levelt) institute is the KNMI (Royal  Netherlands Meteorological Institute). OMI is designed to monitor  stratospheric and tropospheric ozone, clouds, aerosols and smoke from  biomass burning, SO2 from volcanic eruptions, and key tropospheric  pollutants (HCHO,NO2) and ozone depleting gases (OClO and BrO). OMI  sensor counts, calibrated and geolocated radiances, and all derived  geophysical atmospheric products will be archived at the NASA Goddard  DAAC. The Sulfer Dioxide Product 'OMSO2' from the Aura-OMI is now publicly  available from NASA GSFC Earth Sciences (GES) Data and Information  Services Center (DISC) for public access.  OMSO2 product contains three values of SO2 Vertical column corresponding to three a-priori vertical profiles used in the  retrieval algorithm. It also contains quality flags, geolocation and other ancillary information.        The shortname for this Level-2 OMI total column SO2 product is OMSO2 and the algorithm leads for this product are NASA/UMBC OMI scientists Drs. Nikolay Krotkov (nickolay.a.krotkov@nasa.gov),Kai Yang(kai.yang@nasa.gov) and Arlin J. Krueger(krueger@umbc.edu).       OMSO2 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMSO2 data product is about 21 Mbytes. On-line spatial and parameter subset options are available during data download A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml A short OMSO2 Readme Document that includes brief algorithm description and   documents that provides known data quality related issues are available from the UMBC OMI site ( http://so2.gsfc.nasa.gov/docs.php )             For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/ http://so2.gsfc.nasa.gov/ http://www.knmi.nl/omi/research/documents/.       For the full set of Aura products and other atmospheric composition data available from the GES DISC, please see the links below.       http://disc.sci.gsfc.nasa.gov/Aura/       http://disc.gsfc.nasa.gov/acdisc/	not-provided
OMTO3.v003	OMI/Aura Ozone (O3) Total Column 1-Orbit L2 Swath 13x24 km V003 NRT	OMINRT	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1000000140-OMINRT.json	The OMI/Aura Level-2 Total Column Ozone Data Product OMTO3 Near Real Time data is made available from the OMI SIPS NASA  for the public access.  The Ozone Monitoring Instrument (OMI)was launched aboard the EOS-Aura satellite on July 15, 2004(1:38 pm equator crossing time, ascending mode). OMI with its 2600 km viewing swath width provides almost daily global coverage. OMI is a contribution of the Netherlands Agency for Aerospace Programs (NIVR)in collaboration with Finish Meterological Institute (FMI), to the US EOS-Aura Mission. The principal investigator's (Dr. Pieternel Levelt) institute is the KNMI (Royal Netherlands Meteorological Institute). OMI is designed to monitor stratospheric and tropospheric ozone, clouds, aerosols and smoke from biomass burning, SO2 from volcanic eruptions, and key tropospheric pollutants (HCHO, NO2) and ozone depleting gases (OClO and BrO). OMI sensor counts, calibrated and geolocated radiances, and all derived geophysical atmospheric products will be archived at the NASA Goddard DAAC. This level-2 global total column ozone product (OMTO3)is based on the enhanced TOMS version-8 algorithm that  essentially uses the ultraviolet radiance data at 317.5 and 331.2 nm. OMI additional hyper-spectral measurements help in the corrections for the factors that induce uncertainty in ozone retrieval (e.g., cloud and aerosol, sea-glint effects, profile shape sensitivity, SO2 and other trace gas contamination). In addition to the total ozone values this product also contains some auxiliary derived and ancillary input parameters including N-values, effective Lambertian scene-reflectivity, UV aerosol index, SO2 index, cloud fraction, cloud pressure, ozone below clouds, terrain height, geolocation, solar and satellite viewing angles, and extensive quality flags. The shortname for this Level-2 OMI total column ozone product is OMTO3 and the algorithm lead for this product is NASA OMI scientist  Dr. Pawan K. Bhartia ( Pawan.K.Bhartia@nasa.gov). OMTO3 files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMTO3 data product is about 35 Mbytes. A list of tools for browsing and extracting data from these files can be found at: http://disc.gsfc.nasa.gov/Aura/tools.shtml For more information on Ozone Monitoring Instrument and atmospheric data products, please visit the OMI-Aura sites: http://aura.gsfc.nasa.gov/  http://www.knmi.nl/omi/research/documents/ .        Data Category Parameters: The OMTO3 data file contains one swath which consists of two groups: Data fields: OMI Total Ozone,Effective Reflectivity (331 - 360 nm), N-value, Cloud Fraction, Cloud Top Pressure, O3 below Cloud, UV Aerosol Index, SO2 index, Wavelength used in the algorithm, many Auxiliary Algorithm Parameter and Quality Flags Geolocation Fields: Latitude, Longitude, Time, Relative Azimuth, Solar Zenith and Azimuth, Viewing Zenith and Azimuth angles, Spacecraft Altitude, Latitude, Longitude, Terrain Height, Ground Pixel Quality Flags.For the full set of Aura data products available from the GES DISC, please see the link http://disc.sci.gsfc.nasa.gov/Aura/ .	not-provided
OMTO3e.v003	OMI/Aura Ozone (O3) Total Column Daily L3 Global 0.25deg Lat/Lon Grid NRT	OMINRT	2004-07-15		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1428966163-OMINRT.json	The OMI science team produces this Level-3 Aura/OMI Global TOMS-Like Total Column Ozone gridded product OMTO3e (0.25deg Lat/Lon grids). The OMTO3e product selects the best pixel (shortest path length) data from the good quality filtered level-2 total column ozone data (OMTO3) that fall in the 0.25 x 0.25 degree global grids. Each file contains total column ozone, radiative cloud fraction and solar and viewing zenith angles. OMTO3e files are stored in EOS Hierarchical Data Format (HDF-EOS5). Each file contains daily data from approximately 15 orbits. The maximum file size for the OMTO3e data product is about 2.8 Mbytes. (The shortname for this Level-3 TOMS-Like Total Column Ozone gridded product is OMTO3e) .	not-provided
PACE_EPH_DEF.v1	PACE  Level- Definitive Ephemeris Data Data, V1	OB_CLOUD	2024-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C3020918309-OB_CLOUD.json	The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission launched in February 2024. The mission will carry three instruments - one hyperspectral radiometer (OCI) and two multi-angle polarimeters (HARP2 and SPEXone). The range that PACE's instruments will observe includes the UV (350-400 nm), visible (400-700 nm), and near infrared (700-885 nm), as well as several shortwave infrared bands. 	not-provided
PACE_HARP2_L0_D1.v1	PACE HARP2 Level-0 Detector 1 (D1) Data, V1	OB_CLOUD	2024-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2804798238-OB_CLOUD.json	The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.	not-provided
PACE_HARP2_L0_D2.v1	PACE HARP2 Level-0 Detector 2 (D2) Data, V1	OB_CLOUD	2024-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2804798239-OB_CLOUD.json	The Hyper-Angular Rainbow Polarimeter #2 (HARP2) instrument, flying aboard the PACE spacecraft, is a wide-angle imaging polarimeter designed to measure aerosol particles and clouds, as well as properties of land and water surfaces. HARP2 will combine data from multiple along-track viewing angles (up to 60), four spectral bands in the visible and near infrared ranges, and three angles of linear polarization to measure the microphysical properties of the atmospheric particles including their size distribution, amount, refractive indices and particle shape.	not-provided
PACE_HKT.v1	PACE  Level- Spacecraft Housekeeping, NetCDF format Data, V1	OB_CLOUD	2024-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2832273136-OB_CLOUD.json	The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission launched in  February 2024. The mission will carry three instruments - one hyperspectral  radiometer (OCI) and two multi-angle polarimeters (HARP2 and SPEXone). The  range that PACE's instruments will observe includes the UV (350-400 nm),  visible (400-700 nm), and near infrared (700-885 nm), as well as several  shortwave infrared bands. 	not-provided
PACE_HSK.v1	PACE  Level- Spacecraft Housekeeping Data, V1	OB_CLOUD	2024-02-25		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2869693107-OB_CLOUD.json	The Plankton, Aerosol, Cloud, and ocean Ecosystem (PACE) mission launched in February 2024. The mission will carry three instruments - one hyperspectral radiometer (OCI) and two multi-angle polarimeters (HARP2 and SPEXone). The range that PACE's instruments will observe includes the UV (350-400 nm), visible (400-700 nm), and near infrared (700-885 nm), as well as several shortwave infrared bands. 	not-provided
PM1EPHND_NRT.v6.1NRT	MODIS/Aqua 24-hour Spacecraft ephemeris/orbit data files to be read via SDP Toolkit Binary Format - NRT	LANCEMODIS	2017-10-11		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1426395235-LANCEMODIS.json	PM1EPHND is the Aqua Near Real Time (NRT) daily spacecraft definitive ephemeris data file in native format. This is MODIS Ancillary Data. The data collection consists of PM1 Platform Attitude Data that has been preprocessed by ECS to an internal standard supported by the ECS SDP Toolkit. This data is typically used in determining the geolocation of earth remote sensing observations.The file name format is the following:  PM1EPHND_NRT.Ayyyyddd.hhmm.vvv   where from left to right: PM1 = PM1 (Aqua); EPH = Spacecraft Ephemeris;  N = Native format;  D = Definitive;  A = Acquisition;  yyyy = data year,  ddd = Julian data day,  hh = data hour,  mm = data minute;  vvv = Version ID.	not-provided
PSScene3Band.v1	PlanetScope Satellite Imagery 3 Band Scene	CSDA	2014-06-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2112982481-CSDA.json	The Planet Scope 3 band collection contains satellite imagery obtained from Planet Labs, Inc by the Commercial Smallsat Data Acquisition (CSDA) Program. This satellite imagery is in the visible waveband range with data in the red, green, and blue wavelengths. These data are collected by Planets Dove, Super Dove, and Blue Super Dove instruments collected from across the global land surface from June 2014 to present. Data have a spatial resolution of 3.7 meters at nadir and provided in GeoTIFF format. Data access are restricted to US Government funded investigators approved by the CSDA Program.	not-provided
QB02_MSI_L1B.v1	QuickBird Level 1B Multispectral 4-Band Satellite Imagery	CSDA	2001-10-18	2015-01-27	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497489665-CSDA.json	The QuickBird Level 1B Multispectral 4-Band Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This satellite imagery is in the visible and near-infrared waveband range with data in the blue, green, red, and near-infrared wavelengths. The spatial resolution is 2.16m at nadir and the temporal resolution is 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
QB02_Pan_L1B.v1	QuickBird Level 1B Panchromatic Satellite Imagery	CSDA	2001-10-18	2015-01-27	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497480059-CSDA.json	The QuickBird Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery was collected by the DigitalGlobe QuickBird-2 satellite using the Ball High Resolution Camera 60 across the global land surface from October 2001 to January 2015. This data product includes panchromatic imagery with a spatial resolution of 0.55m at nadir and a temporal resolution of 2.5 to 5.6 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
SEAGLIDER_GUAM_2019.vV1	Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020)	POCLOUD	2019-10-03	2020-01-15	143.63035, 13.39476, 144.613, 14.71229	https://cmr.earthdata.nasa.gov/search/concepts/C2151536874-POCLOUD.json	This dataset was produced by the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (NASA grant NNX17AK07G) project, an investigation to develop tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. From October 2019 to January 2020, three Seagliders were deployed near Guam (14°N 144°E). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The three gliders sampled in an adaptive formation to capture the patchiness of the rain and the corresponding oceanic response in real time. The location was chosen because of the likelihood of intense tropical rain events and the availability of a NEXRAD (S-band) rain radar at the Guam Airport. Spacing between gliders varies from 1 to 60 km. Data samples are gridded by profile and on regular depth bins from 0 to 1000 m. The time interval between profiles was about 3 hours, and they are typically about 1.5 km apart. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). All Seaglider data files are in netCDF format with standards compliant metadata. The project was led by a team from the Applied Physics Laboratory at the University of Washington.	not-provided
Survey_1988_89_Mawson_npcms.v1	1988/89 Summer season, surveying and mapping program, Mawson - North Prince Charles Mountains - Davis	AU_AADC	1988-10-01	1989-02-28	62, -70, 79, -66	https://cmr.earthdata.nasa.gov/search/concepts/C1214313847-AU_AADC.json	Field season report of these programs: 1988/89 Summer Season surveying and mapping North Prince Charles Mountains; ...mapping program Northern PCM's - Mawson Doppler Translocation Support; ....mapping program Voyage 6 stopover Davis. Includes maps and mapsheet layouts.  See the report for full details on the program.  Contents are: Introduction Preparation Voytage to Antarctica 1988/89 Summer Season Surveying and Mapping Program, Northern Prince Charles Mountains 1988/89 Summer Season Surveying and Mapping Program, Voyage 6 Stopover, Davis Performance of Equipment Station Marking Field Camping Climatic Conditions Conclusion Appendices 	not-provided
TEMPO_CLDO4_L2.vV01	TEMPO cloud pressure and fraction (O2-O2 dimer) V01 (UNVALIDATED)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724037909-LARC_CLOUD.json	O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), scene albedo, scene pressure, ancillary data used in calculation, and processing quality flags. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors as a function of geometry, surface albedo, surface pressure and cloud pressure. Please refer to the ATBD for details.	not-provided
TEMPO_CLDO4_L2.vV03	TEMPO cloud pressure and fraction (O2-O2 dimer) V03 (BETA)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930760329-LARC_CLOUD.json	O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), ancillary data, processing quality flags, etc. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors, GEOS-CF forecast meteorology, and GLER surface albedo.	not-provided
TEMPO_DRK_L1.vV01	TEMPO dark exposure V01 (UNVALIDATED)	LARC_CLOUD	2023-06-06		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724057022-LARC_CLOUD.json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.	not-provided
TEMPO_DRK_L1.vV02	TEMPO dark exposure V02 (BETA)	LARC_CLOUD	2023-06-06		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842836142-LARC_CLOUD.json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	not-provided
TEMPO_DRK_L1.vV03	TEMPO dark exposure V03 (BETA)	LARC_CLOUD	2023-06-06		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930729926-LARC_CLOUD.json	Level 1 dark files provide the processed dark currents, corresponding to either solar irradiance measurements or radiance measurements. Each file includes the measured dark currents for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on dark current rates of all frames and their average for the UV and visible bands, pixel quality flags and other ancillary information. The product is produced using the image processing of L0-1b processor.	not-provided
TEMPO_HCHO_L2.vV01	TEMPO formaldehyde total column V01 (UNVALIDATED)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2732717000-LARC_CLOUD.json	Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector corrections. For further details, please refer to the ATBD.	not-provided
TEMPO_HCHO_L2.vV03	TEMPO formaldehyde total column V03 (BETA)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930730944-LARC_CLOUD.json	Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector corrections.	not-provided
TEMPO_RADT_L1.vV03	TEMPO geolocated Earth radiances twilight V03 (BETA)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2930766795-LARC_CLOUD.json	Level 1 twilight radiance files provide radiance measured during twilight hours to capture city lights at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically calibrated and geolocated radiances for the UV and visible bands, corresponding noise, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes image processing steps to produce radiometrically calibrated radiances with nominal navigation.	not-provided
TEMPO_RAD_L1.vV01	TEMPO geolocated Earth radiances V01 (UNVALIDATED)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2724057249-LARC_CLOUD.json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Image Navigation and Registration (INR) using GOES-R data, and (3) post INR processing geolocation tagging. Please refer to the ATBD for details.	not-provided
TEMPO_RAD_L1.vV02	TEMPO geolocated Earth radiances V02 (BETA)	LARC_CLOUD	2023-08-01		-170, 10, -10, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2842845562-LARC_CLOUD.json	Level 1 radiance files provide radiance information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated and geolocated radiances for the UV and visible bands, corresponding noise, parameterized wavelength grid, geolocation, viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, (2) Additional wavelength calibration to improve wavelength registration, (3) Image Navigation and Registration (INR) using GOES-R data, and (4) post INR processing geolocation tagging and polarization correction. Please refer to the ATBD for details.  These data are beta. Beta maturity is defined as: the product is minimally validated but may still contain significant errors; it is based on product quick looks using the initial calibration parameters.  Because the products at this stage have minimal validation, users should refrain from making conclusive public statements regarding science and applications of the data products until a product is designated at the provisional validation status.  The TEMPO Level 1 ATBD is still being finalized. For access to Version 1.0 ATBD, please contact the ASDC at larc-dl-asdc-tempo@mail.nasa.gov.	not-provided
Turbid9.v0	2004 Measurements made in the Chesapeake Bay	OB_DAAC	2004-10-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360689-OB_DAAC.json	Measurements made in the Chesapeake Bay in 2004.	not-provided
USAP-1543498.v1	A Full Lifecycle Approach to Understanding Adélie Penguin Response to Changing Pack Ice Conditions in the Ross Sea	AMD_USAPDC	2016-06-01		165, -78, -150, -60	https://cmr.earthdata.nasa.gov/search/concepts/C2532074621-AMD_USAPDC.json	"The Ross Sea region of the Southern Ocean is experiencing growing sea ice cover in both extent and duration. These trends contrast those of the well-studied, western Antarctic Peninsula area, where sea ice has been disappearing. Unlike the latter, little is known about how expanding sea ice coverage might affect the regional Antarctic marine ecosystem. This project aims to better understand some of the potential effects of the changing ice conditions on the marine ecosystem using the widely-recognized indicator species - the Adélie Penguin. A four-year effort will build on previous results spanning 19 seasons at Ross Island to explore how successes or failures in each part of the penguin's annual cycle are effected by ice conditions and how these carry over to the next annual recruitment cycle, especially with respect to the penguin's condition upon arrival in the spring. Education and public outreach activities will continually be promoted through the PenguinCam and PenguinScience websites (sites with greater than 1 million hits a month) and ""NestCheck"" (a site that is logged-on by >300 classrooms annually that allows students to follow penguin families in their breeding efforts). To encourage students in pursuing educational and career pathways in the Science Technology Engineering and Math fields, the project will also provide stories from the field in a Penguin Journal, develop classroom-ready activities aligned with New Generation Science Standards, increase the availability of instructional presentations as powerpoint files and short webisodes. The project will provide additional outreach activities through local, state and national speaking engagements about penguins, Antarctic science and climate change. The annual outreach efforts are aimed at reaching over 15,000 students through the website, 300 teachers through presentations and workshops, and 500 persons in the general public. The project also will train four interns (undergraduate and graduate level), two post-doctoral researchers, and a science writer/photographer. <br/><br/>The project will accomplish three major goals, all of which relate to how Adélie Penguins adapt to, or cope with environmental change. Specifically the project seeks to determine 1) how changing winter sea ice conditions in the Ross Sea region affect penguin migration, behavior and survival and alter the carry-over effects (COEs) to subsequent reproduction; 2) the interplay between extrinsic and intrinsic factors influencing COEs over multiple years of an individual's lifetime; and 3) how local environmental change may affect population change via impacts to nesting habitat, interacting with individual quality and COEs. Retrospective analyses will be conducted using 19 years of colony based data and collect additional information on individually marked, known-age and known-history penguins, from new recruits to possibly senescent individuals. Four years of new information will be gained from efforts based at two colonies (Cape Royds and Crozier), using radio frequency identification tags to automatically collect data on breeding and foraging effort of marked, known-history birds to explore penguin response to resource availability within the colony as well as between colonies (mates, nesting material, habitat availability). Additional geolocation/time-depth recorders will be used to investigate travels and foraging during winter of these birds. The combined efforts will allow an assessment of the effects of penguin behavior/success in one season on its behavior in the next (e.g. how does winter behavior affect arrival time and body condition on subsequent breeding). It is at the individual level that penguins are responding successfully, or not, to ongoing marine habitat change in the Ross Sea region."	not-provided
USAP-1643722.v1	A High Resolution Atmospheric Methane Record from the South Pole Ice Core	AMD_USAPDC	2017-02-01	2019-01-31	180, -90, 180, -90	https://cmr.earthdata.nasa.gov/search/concepts/C2534799946-AMD_USAPDC.json	This award supports a project to measure the concentration of the gas methane in air trapped in an ice core collected from the South Pole. The data will provide an age scale (age as a function of depth) by matching the South Pole methane changes with similar data from other ice cores for which the age vs. depth relationship is well known. The ages provided will allow all other gas measurements made on the South Pole core (by the PI and other NSF supported investigators) to be interpreted accurately as a function of time. This is critical because a major goal of the South Pole coring project is to understand the history of rare gases in the atmosphere like carbon monoxide, carbon dioxide, ethane, propane, methyl chloride, and methyl bromide. Relatively little is known about what controls these gases in the atmosphere despite their importance to atmospheric chemistry and climate. Undergraduate assistants will work on the project and be introduced to independent research through their work. The PI will continue visits to local middle schools to introduce students to polar science, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) as part of the project.     Methane concentrations from a major portion (2 depth intervals, excluding the brittle ice-zone which is being measured at Penn State University) of the new South Pole ice core will be used to create a gas chronology by matching the new South Pole ice core record with that from the well-dated WAIS Divide ice core record. In combination with measurements made at Penn State, this will provide gas dating for the entire 50,000-year record. Correlation will be made using a simple but powerful mid-point method that has been previously demonstrated, and other methods of matching records will be explored. The intellectual merit of this work is that the gas chronology will be a fundamental component of this ice core project, and will be used by the PI and other investigators for dating records of atmospheric composition, and determining the gas age-ice age difference independently of glaciological models, which will constrain processes that affected firn densification in the past. The methane data will also provide direct stratigraphic markers of important perturbations to global biogeochemical cycles (e.g., rapid methane variations synchronous with abrupt warming and cooling in the Northern Hemisphere) that will tie other ice core gas records directly to those perturbations. A record of the total air content will also be produced as a by-product of the methane measurements and will contribute to understanding of this parameter. The broader impacts include that the work will provide a fundamental data set for the South Pole ice core project and the age scale (or variants of it) will be used by all other investigators working on gas records from the core. The project will employ an undergraduate assistant(s) in both years who will conduct an undergraduate research project which will be part of the student's senior thesis or other research paper. The project will also offer at least one research position for the Oregon State University Summer REU site program. Visits to local middle schools, and other outreach activities (e.g. laboratory tours, talks to local civic or professional organizations) will also be part of the project.	not-provided
USAP-1744755.v1	A mechanistic study of bio-physical interaction and air-sea carbon transfer in the Southern Ocean	AMD_USAPDC	2018-05-01	2022-04-30	-80, -70, -30, -45	https://cmr.earthdata.nasa.gov/search/concepts/C2545372297-AMD_USAPDC.json	Current generation of coupled climate models, that are used to make climate projections, lack the resolution to adequately resolve ocean mesoscale (10 - 100km) processes, exhibiting significant biases in the ocean carbon uptake. Mesoscale processes include many features including jets, fronts and eddies that are crucial for bio-physical interactions, air-sea CO2 exchange and the supply of iron to the surface ocean. This modeling project will support the eddy resolving regional simulations to understand the mechanisms that drives bio-physical interaction and air-sea exchange of carbon dioxide. 	not-provided
USAP-1744989.v1	A Multi-scale Approach to Understanding Spatial and Population Variability in Emperor Penguins	AMD_USAPDC	2018-07-15	2022-06-30	-180, -90, 180, -60	https://cmr.earthdata.nasa.gov/search/concepts/C2705787178-AMD_USAPDC.json	This project on emperor penguin populations will quantify penguin presence/absence, and colony size and trajectory, across the entire Antarctic continent using high-resolution satellite imagery. For a subset of the colonies, population estimates derived from high-resolution satellite images will be compared with those determined by aerial surveys - these results have been uploaded to MAPPPD (penguinmap.com) and are freely available for use. This validated information will be used to determine population estimates for all emperor penguin colonies through iterations of supervised classification and maximum likelihood calculations on the high-resolution imagery. The effect of spatial, geophysical, and environmental variables on population size and decadal-scale trends will be assessed using generalized linear models. This research will result in a first ever empirical result for emperor penguin population trends and habitat suitability, and will leverage currently-funded NSF infrastructure and hosting sites to publish results in near-real time to the public.	not-provided
USAP-2130663.v1	2021 Antarctic Subsea Cable Workshop: High-Speed Connectivity Needs to Advance US Antarctic Science	AMD_USAPDC	2021-06-01	2023-05-31	-180, -90, 180, -60	https://cmr.earthdata.nasa.gov/search/concepts/C2556670196-AMD_USAPDC.json	Current networking capacity at McMurdo Station is insufficient to even be considered broadband, with a summer population of up to 1000 people sharing what is equivalent to the connection enjoyed by a typical family of three in the United States. The changing Antarctic ice sheets and Southern Ocean are large, complex systems that require cutting edge technology to do cutting edge research, with remote technology becoming increasingly useful and even necessary to monitor changes at sufficient spatial and temporal scales. Antarctic science also often involves large data-transfer needs not currently met by existing satellite communication infrastructure. This workshop will gather representatives from across Antarctic science disciplinesfrom astronomy to zoologyas well as research and education networking experts to explore the scientific advances that would be enabled through dramatically increased real-time network connectivity, and also consider opportunities for subsea cable instrumentation.  This workshop will assess the importance of a subsea fiber optic cable for high-capacity real-time connectivity in the US Antarctic Program, which is at the forefront of some of the greatest climate-related challenges facing our planet. The workshop will: (1) document unmet or poorly met current scientific and logistic needs for connectivity; (2) explore connectivity needs for planned future research and note the scientific advances that would be possible if the full value of modern cyberinfrastructure-empowered research could be brought to the Antarctic research community; and (3) identify scientific opportunities in planning a fully instrumented communication cable as a scientific observatory. Due to the ongoing COVID-19 pandemic, the workshop will be hosted and streamed online. While the workshop will be limited to invited personnel in order to facilitate a collaborative working environment, broad community input will be sought via survey and via comment on draft outputs. A workshop summary document and report will be delivered to NSF. Increasing US Antarctic connectivity by orders of magnitude will be transformative for science and logistics, and it may well usher in a new era of Antarctic science that is more accessible, efficient and sustainable.  This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.	not-provided
USGS_DDS_P14_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Los Angeles Basin Province	CEOS_EXTRA	1990-12-01	1990-12-01	-119.63631, 32.7535, -117.52315, 34.17464	https://cmr.earthdata.nasa.gov/search/concepts/C2231552049-CEOS_EXTRA.json	The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.  Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.  Oil and gas plays within province 14 (Los Angeles Basin) are listed here by play number, type, and name:      Number  Type           Name     1401  conventional   Santa Monica Fault System and Las Cienegas          Fault and Block     1402  conventional   Southwestern Shelf and Adjacent Offshore          State Lands     1403  conventional   Newport-Inglewood Deformation Zone and          Southwestern Flank of Central Syncline     1404  conventional   Whittier Fault Zone and Fullerton Embayment     1405  conventional   Northern Shelf and Northern Flank of          Central Syncline     1406  conventional   Anaheim Nose     1407  conventional   Chino Marginal Basin, Puente and San Jose          Hills, and San Gabriel Valley Marginal Basin	not-provided
USGS_DDS_P16_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Salton Trough Province	CEOS_EXTRA	1990-12-01	1990-12-01	-116.66911, 32.634293, -114.74501, 34.02059	https://cmr.earthdata.nasa.gov/search/concepts/C2231548651-CEOS_EXTRA.json	The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.  Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.   Oil and gas plays within province 16 (Salton Trough) are listed here by play number, type, and name.	not-provided
USGS_DDS_P17_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Idaho - Snake River Downwarp Province	CEOS_EXTRA	1990-12-01	1990-12-01	-117.24303, 41.99332, -111.04548, 49.00115	https://cmr.earthdata.nasa.gov/search/concepts/C2231550494-CEOS_EXTRA.json	The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.  Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.  Oil and gas plays within province 17 (Idaho - Snake River Downwarp) are listed here by play number, type, and name:     Number    Type           Name     1701  conventional   Miocene Lacustrine (Lake Bruneau)     1702  conventional   Pliocene Lacustrine (Lake Idaho)     1703  conventional   Pre-Miocene     1704  conventional   Older Tertiary	not-provided
USGS_DDS_P19_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Eastern Great Basin Province	CEOS_EXTRA	1990-12-01	1990-12-01	-117.02622, 35.002083, -111.170425, 43.022377	https://cmr.earthdata.nasa.gov/search/concepts/C2231552402-CEOS_EXTRA.json	"The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.  Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.  Oil and gas plays within province 19 (Eastern Great Basin) are listed here by play number, type, and name:    Number      Type           Name    1901  conventional   Unconformity ""A""    1902  conventional   Late Paleozoic    1903  conventional   Early Tertiary - Late Cretaceous Sheep Pass         and Equivalents    1905  conventional   Younger Tertiary Basins    1906  conventional   Late Paleozoic - Mesozoic (Central Nevada) Thrust Belt    1907  conventional   Sevier Frontal Zone"	not-provided
USGS_DDS_P2_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Alaska Province	CEOS_EXTRA	1990-12-01	1990-12-01	-173.22636, 58.49761, -140.99017, 68.01999	https://cmr.earthdata.nasa.gov/search/concepts/C2231550471-CEOS_EXTRA.json	The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.   Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.   Oil and gas plays within province 2 (Central Alaska) are listed here by play number, type, and name:     Number   Type           Name      201  conventional   Central Alaska Cenozoic Gas      202  conventional   Central Alaska Mesozoic Gas      203  conventional   Central Alaska Paleozoic Oil      204  conventional   Kandik Pre-Mid-Cretaceous Strata      205  conventional   Kandik Upper Cretaceous and Tertiary Non-Marine Stata	not-provided
USGS_P-11_cells	1995 National Oil and Gas Assessment 1/4-Mile Cells within the Central Coastal Province	CEOS_EXTRA	1990-12-01	1990-12-01	-123.80987, 34.66294, -118.997696, 39.082233	https://cmr.earthdata.nasa.gov/search/concepts/C2231552077-CEOS_EXTRA.json	The purpose of the cell map is to display the exploration maturity, type of production, and distribution of production in quarter-mile cells in each of the oil and gas plays and each of the provinces defined for the 1995 U.S. National Oil and Gas Assessment.  Cell maps for each oil and gas play were created by the USGS as a method for illustrating the degree of exploration, type of production, and distribution of production in a play or province. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or dry. The well information was initially retrieved from the Petroleum Information (PI) Well History Control System (WHCS), which is a proprietary, commercial database containing information for most oil and gas wells in the U.S.  Cells were developed as a graphic solution to overcome the problem of displaying proprietary WHCS data. No proprietary data are displayed or included in the cell maps. The data from WHCS were current as of December 1990 when the cell maps were created in 1994.  Oil and gas plays within province 11 (Central Coastal) are listed here by play number, type, and name:     Number    Type             Name     1101  conventional   Point Arena Oil     1102  conventional   Point Reyes Oil     1103  conventional   Pescadero Oil     1104  conventional   La Honda Oil     1105  conventional   Bitterwater Oil     1106  conventional   Salinas Oil     1107  conventional   Western Cuyama Basin     1109  conventional   Cox Graben	not-provided
USGS_SOFIA_eco_hist_db1995-2007.vversion 7	1995 - 2007 Ecosystem History of South Florida's Estuaries Database version 7	CEOS_EXTRA	1994-09-27	2007-04-03	-81.83, 24.75, -80, 26.5	https://cmr.earthdata.nasa.gov/search/concepts/C2231554288-CEOS_EXTRA.json	The 1995 - 2007 Ecosystem History of South Florida's Estuaries Database contains listings of all sites (modern and core), modern monitoring site survey information (water chemistry, floral and faunal data, etc.), and published core data. Two general types of data are contained within this database: 1) Modern Field Data and 2) Core data - primarily faunal assemblages. Data are available for modern sites and cores in the general areas of Florida Bay, Biscayne Bay, and the southwest (Florida) coastal mangrove estuaries. Specific sites in the Florida Bay area include Taylor Creek, Bob Allen Key, Russell Bank, Pass Key, Whipray Basin, Rankin Bight, park Key, and Mud Creek core). Specific Biscayne Bay sites include Manatee Bay, Featherbed Bank, Card bank, No Name Bank, Middle Key, Black Point North, and Chicken Key. Sites on the southwest coast include Alligator Bay, Big Lostmans Bay, Broad River Bay, Roberts River mouth, Tarpon Bay, Lostmans River First and Second Bays, Harney River, Shark River near entrance to Ponce de Leon Bay, and Shark River channels. Modern field data contains (1) general information about the site, description, latitude and longitude, date of data collection, (2) water chemistry information, and (3) descriptive text of fauna and flora observed at the site. Core data contain either percent abundance data or actual counts of the distribution of mollusks, ostracodes, forams, and pollen within the cores collected in the estuaries. For some cores dinocyst or diatom data may be available.	not-provided
USGS_cont1992	1992 Water-Table Contours of the Mojave River Ground-Water Basin, San Bernardino County, California	CEOS_EXTRA	1970-01-01		-117.652695, 34.364513, -116.55357, 35.081955	https://cmr.earthdata.nasa.gov/search/concepts/C2231553864-CEOS_EXTRA.json	This data set consists of digital water-table contours for the Mojave River Basin.  The U.S. Geological Survey, in cooperation with the Mojave Water Agency, constructed a water-table map of the Mojave River ground-water basin for ground-water levels measured in November 1992.  Water-level data were collected from approximately 300 wells to construct the contours.  The water-table contours were digitized from the paper map which was published at a scale of 1:125,000.  The contour interval ranges from 3,200 to 1,600 feet above sea level.  [Summary provided by the USGS.]	not-provided
USGS_cont1994	1994 Water-Table Contours of the Morongo Ground-Water Basin, San Bernardino County, California	CEOS_EXTRA	1970-01-01		-117.07194, 34.095333, -115.98976, 34.64026	https://cmr.earthdata.nasa.gov/search/concepts/C2231554677-CEOS_EXTRA.json	This data set consists of digital water-table contours for the Morongo Basin.  The U.S. Geological Survey constructed a water-table map of the Morongo ground-water basin for ground-water levels measured during the period January-October 1994.  Water-level data were collected from 248 wells to construct the contours.  The water-table contours were digitized from the paper map which was published at a scale of 1:125,000.  The contour interval ranges from 3,400 to 1,500 feet above sea level.  [Summary provided by the USGS.]	not-provided
UTC_1990countyboundaries	1990 County Boundaries of the United States	CEOS_EXTRA	1972-01-01	1990-12-31	-177.1, 13.71, -61.48, 76.63	https://cmr.earthdata.nasa.gov/search/concepts/C2231550562-CEOS_EXTRA.json	This data set portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands.  The data set was created by extracting county polygon features from the individual 1:2,000,000-scale State boundary Digital Line Graph (DLG) files produced by the U.S. Geological Survey.  These files were then merged into a single file and the boundaries were modified to what they were in 1990.  This is a revised version of the March 2000 data set.	not-provided
WV01_Pan_L1B.v1	WorldView-1 Level 1B Panchromatic Satellite Imagery	CSDA	2007-10-10		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497387766-CSDA.json	The WorldView-1 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Panchromatic imagery is collected by the DigitalGlobe WorldView-1 satellite using the WorldView-60 camera across the global land surface from September 2007 to the present. Data have a spatial resolution of 0.5 meters at nadir and a temporal resolution of approximately 1.7 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
WV02_MSI_L1B.v1	WorldView-2 Level 1B Multispectral 8-Band Satellite Imagery	CSDA	2009-10-08		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497404794-CSDA.json	The WorldView-2 Level 1B Multispectral 8-Band Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This satellite imagery is in the visible and near-infrared waveband range with data in the coastal, blue, green, yellow, red, red edge, and near-infrared (2 bands) wavelengths. It has a spatial resolution of 1.85m at nadir and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
WV02_Pan_L1B.v1	WorldView-2 Level 1B Panchromatic Satellite Imagery	CSDA	2009-10-08		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2497398128-CSDA.json	The WorldView-2 Level 1B Panchromatic Imagery collection contains satellite imagery acquired from Maxar Technologies (formerly known as DigitalGlobe) by the Commercial Smallsat Data Acquisition (CSDA) Program. Imagery is collected by the DigitalGlobe WorldView-2 satellite using the WorldView-110 camera across the global land surface from October 2009 to the present. This data product includes panchromatic imagery with a spatial resolution of 0.46m and a temporal resolution of approximately 1.1 days. The data are provided in National Imagery Transmission Format (NITF) and GeoTIFF formats. This level 1B data is sensor corrected and is an un-projected (raw) product. The data potentially serve a wide variety of applications that require high resolution imagery. Data access is restricted based on a National Geospatial-Intelligence Agency (NGA) license, and investigators must be approved by the CSDA Program.	not-provided
WaterBalance_Daily_Historical_GRIDMET.v1.5	Daily Historical Water Balance Products for the CONUS	LPCLOUD	1980-01-01	2021-12-31	-131.70607, 21.115301, -60.530453, 55.457306	https://cmr.earthdata.nasa.gov/search/concepts/C2674694066-LPCLOUD.json	This dataset provides daily historical Water Balance Model outputs from a Thornthwaite-type, single bucket model.  Climate inputs to the model are from GridMet daily temperature and precipitation for the Continental United States (CONUS). The Water Balance Model output variables include the following: Potential Evapotranspiration (PET, mm), Actual Evapotranspiration (AET, mm), Moisture Deficit (Deficit, mm), Soil Water (soilwater, mm), Runoff (mm), Rain (mm), and Accumulated Snow Water Equivalent (accumswe, mm). The dataset covers the period from January 1 to December 31 for years 1980 through 2021 for the CONUS. Water Balance Model variables are provided as individual files, by variable and year, at a 1 km x 1 km spatial resolution and a daily temporal resolution. Data are in a North America Lambert Conformal Conic projection and are distributed in a standardized Climate and Forecast (CF)-compliant NetCDF file format.	not-provided
XAERDT_L2_ABI_G16.v1	ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km	LAADS	2019-01-01	2022-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2859273114-LAADS.json	The ABI/GOES-16 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G16 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period.  The Geostationary Operational Environmental Satellite – GOES-16 has been serving in the operational GOES-East position (near -75°W) since December 18, 2017.  The GOES-16/ABI collection record spans from January 2019 through December 2022.    The XAERDT_L2_ABI_G16 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO.  The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20.  Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites.    The XAERDT_L2_ABI_G16 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs.    For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G16    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	not-provided
XAERDT_L2_ABI_G17.v1	ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km	LAADS	2019-01-01	2022-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2859265967-LAADS.json	The ABI/GOES-17 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_ABI_G17 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 144 granules over the daylit hours of a 24-hour period.  The Geostationary Operational Environmental Satellite – GOES-17 served in the operational GOES-West position (near -137°W), from February 12, 2019, through January 4, 2023.  The GOES-16/ABI collection record spans from January 2019 through December 2022.    The XAERDT_L2_ABI_G17 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO.  The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20.  Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites.    The XAERDT_L2_ABI_G17 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs.    For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_ABI_G17    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	not-provided
XAERDT_L2_AHI_H08.v1	AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km	LAADS	2019-01-01	2022-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2859255251-LAADS.json	The AHI/Himawari-08 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H08 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes).  The Himawari-8 platform served in the operational Himawari position (near 140.7°E) between October 2014 and 13 December 2022.  Himawari-9 replaced Himawari-8 and is currently operational.  The Himawari-8/AHI collection record spans from January 2019 through 12th December 2022.  The final 19 days of 2022 (December 13 through 31) are served by L2 products derived from the Himawari-9/AHI instrument.    The XAERDT_L2_AHI_H08 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO.  The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20.  Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites.    The XAERDT_L2_AHI_H08 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs.      For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H08    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	not-provided
XAERDT_L2_AHI_H09.v1	AHI/Himawari-09 Dark Target Aerosol 10-Min L2 Full Disk 10 km	LAADS	2022-12-13	2022-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2859261579-LAADS.json	The AHI/Himawari-09 Dark Target Aerosol 10-Min L2 Full Disk 10 km product, short-name XAERDT_L2_AHI_H09 is provided at 10-km spatial resolution (at-nadir) and a 10-minute full-disk cadence that typically yields about 142 granules over the daylit hours of a 24-hour period (there are no images produced at 02:20 or 14:20 UTC for navigation purposes). The Himawari-9 platform currently serves in the operational Himawari position (near 140.7°E) since it was launched November 2, 2016, and replaces Himawari-8.  The Himawari-9/AHI collection record spans from 13th December 2022 through 31st December 2022.    The XAERDT_L2_AHI_H09 product is a part of the Geostationary Earth Orbit (GEO)–Low-Earth Orbit (LEO) Dark Target Aerosol project under NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, led by Robert Levy, uses a special version of the MODIS Dark Target (DT) aerosol retrieval algorithm to produce Aerosol Optical Depth (AOD) and other aerosol parameters derived independently from seven sensor/platform combinations, where 3 are in GEO and 4 are in LEO.  The 3 GEO sensors include Advanced Baseline Imagers (ABI) on both GOES-16 (GOES-East) and GOES-17 (GOES-West), and Advanced Himawari Imager (AHI) on Himawari-8. The 4 LEO sensors include MODIS on both Terra and Aqua, and VIIRS on both Suomi-NPP and NOAA-20.  Adding the LEO sensors reinforces a major goal of this project, which is to render a consistent science maturity level across DT aerosol products derived from both types and sources of orbital satellites.      The XAERDT_L2_AHI_H09 product, in netCDF4 format, contains 45 Science Data Set (SDS) layers that include 8 geolocation and 37 geophysical SDSs.        For more information consult LAADS product description page at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/XAERDT_L2_AHI_H09    Or, Dark Target aerosol team Page at:   https://darktarget.gsfc.nasa.gov/	not-provided
a-numerical-solver-for-heat-and-mass-transport-in-snow-based-on-fenics.v1.0	A numerical solver for heat and mass transport in snow based on FEniCS	ENVIDAT	2022-01-01	2022-01-01	9.8472494, 46.812044, 9.8472494, 46.812044	https://cmr.earthdata.nasa.gov/search/concepts/C2789814662-ENVIDAT.json	This python code uses the Finite Element library FEniCS (via docker) to solve the one dimensional partial differential equations for heat and mass transfer in snow. The results are written in vtk format.     The dataset contains the code and the output data to reproduce the key Figure 5 from the related publication:    _Schürholt, K., Kowalski, J., Löwe, H.; Elements of future snowpack modeling - Part 1: A physical  instability arising from the non-linear coupling of transport and phase changes, The Cryosphere, 2022_    The code and potential updates can be accessed directly through git via:    https://gitlabext.wsl.ch/snow-physics/snowmodel_fenics	not-provided
a6efcb0868664248b9cb212aba44313d	ESA Aerosol Climate Change Initiative (Aerosol CCI): Level 2 aerosol products from MERIS (ALAMO algorithm), Version 2.2	FEDEO	2008-01-01	2008-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2548142742-FEDEO.json	The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 2 aerosol products from MERIS for 2008, using the ALAMO algorithm, version 2.2.   The data have been provided by Hygeos.For further details about these data products please see the linked documentation.	not-provided
aamhcpex.v1	AAMH CPEX	GHRC_DAAC	2017-05-26	2017-07-16	154.716, 0.6408, -19.5629, 44.9689	https://cmr.earthdata.nasa.gov/search/concepts/C2645106424-GHRC_DAAC.json	The AAMH CPEX dataset contains products obtained from the MetOp-A, MetOp-B, NOAA-18, and NOAA-19 satellites. These data were collected in support of the NASA Convective Processes Experiment (CPEX) field campaign. The CPEX field campaign took place in the North Atlantic-Gulf of Mexico-Caribbean Sea region from 25 May to 25 June 2017. CPEX conducted a total of sixteen DC-8 missions from 27 May to 24 June. The CPEX campaign collected data to help explain convective storm initiation, organization, growth, and dissipation in the North Atlantic-Gulf of Mexico-Caribbean Oceanic region during the early summer of 2017. These data are available from May 26, 2017, through July 15, 2017, and are available in netCDF-4 format.	not-provided
above-and-below-ground-herbivore-communities-along-elevation.v1.0	Above- and below-ground herbivore communities along elevation	ENVIDAT	2020-01-01	2020-01-01	5.95587, 45.81802, 10.49203, 47.80838	https://cmr.earthdata.nasa.gov/search/concepts/C2789814648-ENVIDAT.json	Despite the common role of above- and below-ground herbivore communities in mediating ecosystem functioning, our understanding of the variation of species communities along natural gradient is largely strongly biased toward aboveground organisms. This dataset enables to study the variations in assemblages of two dominant groups of herbivores, namely, aboveground orthoptera and belowground nematodes together with their food plants. Herbivores and plant surveys were conducted in 48 natural grasslands along six elevation gradients, selected to span the major macro-climatic and environmental conditions of the Swiss Alps. It compiles herbivores and plant surveys, information on the study sites as well as plant and herbivores functional traits sought to be involved in trophic interactions and to respond to climatic variation along the elevation. Plant functional traits considered are the SLA, the LDMC, the C/N content, the punch strength (i.e. force required to pierce the leave lamina), the mandibular strength for Orthoptera insect. Data were collected during the summer 2016 and 2017. 	not-provided
aces1am.v1	ACES Aircraft and Mechanical Data	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977826980-GHRC_DAAC.json	The ACES Aircraft and Mechanical Data consist of aircraft (e.g. pitch, roll, yaw) and mechanical (e.g. aircraft engine speed, tail commands, fuel levels) data recorded by the Altus II Unmanned Aerial Vehicle (Altus II UAV) system during the Altus Cumulus Electrification Study (ACES) based at the Naval Air Facility Key West in Florida. ACES aimed to provide extensive observations of the cloud electrification process and its effects by using the Altus II UAV to collect cloud top observations of thunderstorms. The campaign also worked to validate satellite lightning measurements. The Altus II aircraft and mechanical data files are available from July 10 through August 30, 2002 in MATLAB data format (.mat). 	not-provided
aces1cont.v1	ACES CONTINUOUS DATA V1	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977847043-GHRC_DAAC.json	The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August, 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloudelectrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from seven instruments: the Slow/Fast antenna, Electric Field Mill, Dual Optical Pulse Sensor, Searchcoil Magnetometer, Accelerometers, Gerdien Conductivity Probe, and the Fluxgate Magnetometer. Data consists of sensor reads at 50HZ throughout the flight from all 64 channels.	not-provided
aces1efm.v1	ACES ELECTRIC FIELD MILL V1	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977847178-GHRC_DAAC.json	The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida.  During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from it's birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data from Electric Field Mills, which yield information about the atmospheric electrical fields above the instruments.	not-provided
aces1log.v1	ACES LOG DATA	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977853903-GHRC_DAAC.json	The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of log data from each flight, and yields instrument and aircraft status throughout the flight.	not-provided
aces1time.v1	ACES TIMING DATA	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977855412-GHRC_DAAC.json	The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform.	not-provided
aces1trig.v1	ACES TRIGGERED DATA	GHRC_DAAC	2002-07-10	2002-08-30	-85, 23, -81, 26	https://cmr.earthdata.nasa.gov/search/concepts/C1977858342-GHRC_DAAC.json	The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of data collected from the following instruments: Slow/Fast antenna, Electric Field Mill, Optical Pulse Sensors, Searchcoil Magnetometer, Accelerometer, and Gerdien Conductivity Probe. These data were collected at 200KHz from the first 16 telemetry items collected on the aircraft, were initiated by an operator selected trigger (e.g. DOPS), and continued collecting for as long as the trigger continued.	not-provided
aerosol-data-davos-wolfgang.v1.0	Aerosol Data Davos Wolfgang	ENVIDAT	2020-01-01	2020-01-01	9.853594, 46.835577, 9.853594, 46.835577	https://cmr.earthdata.nasa.gov/search/concepts/C2789814678-ENVIDAT.json	Aerosol properties were measured between February 8 and March 31 2019  at the measurement site Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs) and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.    Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 &#956;m) and GT-526S (0.3 – 5 &#956;m), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM&#8321;, PM&#8322;,&#8325; and PM&#8321;&#8320; (assumptions: particle density: 1.65 g cm&#713;&#179;, refractive index: 1.5+i0).    Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 &#956;m and ~20 &#956;m by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cm&#713;&#179;).    Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3788 , TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cm&#713;&#179;).     Coriolis &#956; and DRINCZ: A microbial air sampler (Coriolis &#956;, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 &#956;m were drawn with an air flow rate of up to 300 l min&#713;&#185; into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the DRoplet Ice Nuclei Counter Zurich (DRINCZ, ETH Zurich) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles. 	not-provided
aerosol-data-weissfluhjoch.v1.0	Aerosol Data Weissfluhjoch	ENVIDAT	2020-01-01	2020-01-01	9.806475, 46.832964, 9.806475, 46.832964	https://cmr.earthdata.nasa.gov/search/concepts/C2789814736-ENVIDAT.json	Aerosol properties were measured between February 8 and March 31 2019  at the measurement site Weissfluhjoch (LON: 9.806475, LAT: 46.832964). Optical and aerodynamic particle counters, as well as a scanning mobility particle size spectrometer and an ice nuclei counter were deployed to report particle concentrations and size distributions in fine (10-1000 nm) and coarse mode (> 1000 nm), cloud condensation nuclei concentrations (CCNCs), and ice nuclei particle concentrations (ICNCs). The ambient particles were transported via a heated inlet to be distributed to the particle detecting devices inside the setup room.     Optical Particle Counter (OPC): Light scattering of a diode laser beam caused by travelling particles is used in the both, the OPC-N3 (0.41 - 38.5 &#956;m) and GT-526S (0.3 – 5 &#956;m), to determine their size and number concentration. For the OPC-N3, particle size spectra and concentration data are used afterwards to calculate PM&#8321;, PM&#8322;,&#8325; and PM&#8321;&#8320; (assumptions: particle density: 1.65 g cm&#713;&#179;, refractive index: 1.5+i0).     Aerodynamic Particle Sizer (APS): The APS (3321, TSI Inc.) measured the particle size distribution for aerodynamic diameters between 0.5 &#956;m and ~20 &#956;m by the particle’s time-of-flight and light-scattering intensity (assumptions: particle density 1 g cm&#713;&#179;).     Scanning Mobility Particle Size Spectrometer (SMPS): Particle number concentrations in a size range between 12 and 460 nm (electrical mobility diameter) were measured at Davos Wolfgang, using a Scanning Mobility Particle Sizer Spectrometer (SMPS 3938, TSI Inc.). The classifier (3082, TSI Inc.) was equipped with a neutralizer (3088, TSI Inc.) and a differential mobility analyzer working with negative polarity (3081, TSI Inc.). The size selected particles were counted by a water-based condensation particle counter (3787 TSI Inc.). The TSI AIM software was used to provide particle size distributions by applying multiple charge and diffusion loss corrections (assumptions: particle density 1 g cm&#713;&#179;).     Coriolis &#956; and LINDA: A microbial air sampler (Coriolis &#956;, bertin Instruments) was used to collect airborne particles for investigating their ice nucleating ability with a droplet freezing device. Particles larger than 0.5 &#956;m were drawn with an air flow rate of up to 300 l min&#8254;&#185; into the cone and centrifuged into the wall of the cone due to the forming vortex. The liquid sample was transferred into the LED based Ice Nucleation Detection Apparatus (LINDA, University of Basel) to study heterogeneous ice formation (immersion freezing mode) of ambient airborne particles.   	not-provided
alnus-glutinosa-orientus-ishidae-flavescence-doree.v1.0	Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the “Flavescence dorée” epidemics	ENVIDAT	2021-01-01	2021-01-01	8.4484863, 45.8115721, 9.4372559, 46.4586735	https://cmr.earthdata.nasa.gov/search/concepts/C2789814963-ENVIDAT.json	Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported.     Data used for the publication.  Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses.  Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees.  	not-provided
alpine3d-simulations-of-future-climate-scenarios-for-graubunden.v1.0	Alpine3D simulations of future climate scenarios for Graubunden	ENVIDAT	2019-01-01	2019-01-01	8.6737061, 46.2216525, 10.6347656, 47.1075228	https://cmr.earthdata.nasa.gov/search/concepts/C2789814545-ENVIDAT.json	"This is the simulation dataset from _""Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland""_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources __55__, 4-16, 2013    A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models.    The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095.    Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation."	not-provided
amprimpacts.v1	Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS	GHRC_DAAC	2020-01-18	2023-03-02	-124.153, 26.507, -64.366, 49.31	https://cmr.earthdata.nasa.gov/search/concepts/C2004708841-GHRC_DAAC.json	The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor, and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020, through March 2, 2023, in netCDF-4 format.  	not-provided
amsua15sp.v1	ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-15	GHRC_DAAC	1998-08-03		-180, -90, 180, 89.756	https://cmr.earthdata.nasa.gov/search/concepts/C1996541017-GHRC_DAAC.json	AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). NOAA-15 was the first spacecraft to fly AMSU. Launched on 13 May 1998, NOAA-15 is in a sun synchronous near polar orbit.	not-provided
amsua16sp.v1	ADVANCED MICROWAVE SOUNDING UNIT-A (AMSU-A) SWATH FROM NOAA-16	GHRC_DAAC	2001-05-27	2009-07-30	-180, -89.91, 180, 89.73	https://cmr.earthdata.nasa.gov/search/concepts/C1979956366-GHRC_DAAC.json	AMSU-A, the Advanced Microwave Sounding Unit, is a 15-channel passive microwave radiometer used to profile atmospheric temperature and moisture from the earth's surface to ~45 km (3 millibars). All orbits beginning in the day (00:00:00 - 23:59:59 UTC) are stored in one daily HDF-EOS file. Each file contains 15 (channel) arrays, as well as corresponding latitude, longitude, and time. AMSU flies on the National Oceanic and Atmospheric Administration (NOAA) polar orbiting spacecraft as part of the National Polar-orbiting Operational Environmental Satellite System (NPOESS). Launched on 21 September 2000, NOAA-16 is in a sun synchronous near polar orbit.	not-provided
asas	Advanced Solid-state Array Spectroradiometer (ASAS)	USGS_LTA	1988-06-26		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220566261-USGS_LTA.json	The Advanced Solid-state Array Spectroradiometer (ASAS) data collection contains data collected by the ASAS sensor flown aboard NASA aircraft. A fundamental use of ASAS data is to characterize and understand the directional variability in solar energy scattered by various land surface cover types (e.g.,crops, forests, prairie grass, snow, or bare soil). The sensor's Bidirectional Reflectance Distribution Function determines the variation in the reflectance of a surface as a function of both the view zenith angle and solar illumination angle.  The ASAS sensor is a hyperspectral, multiangle, airborne remote sensing instrument maintained and operated by the Laboratory for Terrestrial Physics at NASA's Goddard Space Flight Center in Greenbelt, Maryland. The ASAS instrument is mounted on the underside of either NASA C-130 or NASA P-3 aircraft and is capable of off-nadir pointing from approximately 70 degrees forward to 55 degrees aft along the direction of flight. The aircraft is flown at an altitude of 5000 - 6000 meters (approximately 16,000 - 20,000 ft.).  Data in the ASAS collection primarily cover areas over the continental United States, but some ASAS data are also available over areas in Canada and western Africa. The ASAS data were collected between 1988 and 1994.	not-provided
aster_global_dem	ASTER Global DEM	USGS_LTA	1970-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1220567908-USGS_LTA.json	ASTER is capable of collecting in-track stereo using nadir- and aft-looking near infrared cameras.  Since 2001, these stereo pairs have been used to produce single-scene (60- x 60-kilomenter (km)) digital elevation models (DEM) having vertical (root-mean-squared-error) accuracies generally between 10- and 25-meters (m).   The methodology used by Japan's Sensor Information Laboratory Corporation (SILC) to produce the ASTER GDEM involves automated processing of the entire ASTER Level-1A archive.  Stereo-correlation is used to produce over one million individual scene-based ASTER DEMs, to which cloud masking is applied to remove cloudy pixels.  All cloud-screened DEMS are stacked and residual bad values and outliers are removed.  Selected data are averaged to create final pixel values, and residual anomalies are corrected before partitioning the data into 1 degree (°) x 1° tiles.  The ASTER GDEM covers land surfaces between 83°N and 83°S and is comprised of 22,702 tiles.  Tiles that contain at least 0.01% land area are included.  The ASTER GDEM is distributed as Geographic Tagged Image File Format (GeoTIFF) files with geographic coordinates (latitude, longitude).  The data are posted on a  1 arc-second (approximately 30–m at the equator) grid and referenced to the 1984 World Geodetic System (WGS84)/ 1996 Earth Gravitational Model (EGM96) geoid.	not-provided
b673f41b-d934-49e4-af6b-44bbdf164367	AVHRR - Land Surface Temperature (LST) - Europe, Daytime	FEDEO	1998-02-23		-24, 28, 57, 78	https://cmr.earthdata.nasa.gov/search/concepts/C2207458008-FEDEO.json	"The ""Land Surface Temperature derived from NOAA-AVHRR data (LST_AVHRR)"" is a fixed grid map (in stereographic projection ) with a spatial resolution of 1.1 km. The total size covering Europe is 4100 samples by 4300 lines. Within 24 hours of acquiring data from the satellite, day-time and night-time LSTs are calculated. In general, the products utilise data from all six of the passes that the satellite makes over Europe in each 24 hour period. For the daily day-time LST maps, the compositing criterion for the three day-time passes is maximum NDVI value and for daily night-time LST maps, the criterion is the maximum night-time LST value of the three night-time passes. Weekly and monthly day-time or night-time LST composite products are also produced by averaging daily day-time or daily night-time LST values, respectively. The range of LST values is scaled between –39.5°C and +87°C with a radiometric resolution of 0.5°C. A value of –40°C is used for water. Clouds are masked out as bad values. For additional information, please see: https://wdc.dlr.de/sensors/avhrr/"	not-provided
blue_ice_core_DML2004_AS	101.1 m long horizontal blue ice core collected from Scharffenbergbotnen, DML, Antarctica, in 2003/2004	SCIOPS	1970-01-01		-180, -90, 180, -62.83	https://cmr.earthdata.nasa.gov/search/concepts/C1214614210-SCIOPS.json	Horizontal blue ice core collected from the surface of a blue ice area in       Scharffenbergbotnen, Heimefrontfjella, DML. Samples were collected in austral       summer 2003/2004 and transported to Finland for chemical analyses. The blue ice       core is estimated to represent a 1000-year period of climate history 20 - 40       kyr B.P.. The results of the analyses will be available in 2005.	not-provided
ch2014.v1	Alpine3D simulations of future climate scenarios CH2014	ENVIDAT	2014-01-01	2014-01-01	8.227, 46.79959, 8.227, 46.79959	https://cmr.earthdata.nasa.gov/search/concepts/C2789814657-ENVIDAT.json	# Overview    The CH2014-Impacts initiative is a concerted national effort to describe impacts of climate change in Switzerland quantitatively, drawing on the scientific resources available in Switzerland today. The initiative links the recently developed Swiss Climate Change Scenarios CH2011 with an evolving base of quantitative impact models. The use of a common climate data set across disciplines and research groups sets a high standard of consistency and comparability of results. Impact studies explore the wide range of climatic changes in temperature and precipitation projected in CH2011 for the 21st century, which vary with the assumed global level of greenhouse gases, the time horizon, the underlying climate model, and the geographical region within Switzerland. The differences among climate projections are considered using three greenhouse gas scenarios, three future time periods in the 21st century, and three climate uncertainty levels (Figure 1). Impacts are shown with respect to the reference period 1980-2009 of CH2011, and add to any impacts that have already emerged as a result of earlier climate change.    # Experimental Setup    Future snow cover changes are simulated with the physics-based model Alpine3D (Lehning et al., 2006). It is applied to two regions: The canton of Graubünden and the Aare catchment. These domains are modeled with a Digital Elevation Model (DEM) with a resolution of 200 m × 200 m. This defines the simulation grid that has to be filled with land cover data and downscaled meteorological input data for each cell for the time period of interest at hourly resolution. The reference data set consists of automatic weather station data. All meteorological input parameters are spatially interpolated to the simulation grid. The reference period comprises only thirteen years (1999–2012), because the number of available high elevation weather stations for earlier times is not sufficient to achieve unbiased distribution of the observations with elevation. The model uses projected temperature and precipitation changes for all greenhouse gas scenarios (A1B, A2, and RCP3PD) and CH2011 time periods (2035, 2060, and 2085).    # Data    Snow cover changes are projected to be relatively small in the near term (2035) (Figure 5.1 top), in particular at higher elevations above 2000 m asl. As shown by Bavay et al. (2013) the spread in projected snow cover for this period is greater between different climate model chains (Chapter 3) than between the reference period and the model chain exhibiting the most moderate change. In the 2085 period much larger changes with the potential to fundamentally transform the snow dominated alpine area become apparent (Figure 5.1 bottom). These changes include a shortening of the snow season by 5–9 weeks for the A1B scenario. This is roughly equivalent to an elevation shift of 400–800 m. The slight increase of winter precipitation and therefore snow fall projected in the CH2011 scenarios (with high associated uncertainty) can no longer compensate for the effect of increasing winter temperatures even at high elevations. In terms of Snow Water Equivalents (SWE), the projected reduction is up to two thirds toward the end of the century (2085). A continuous snow cover will be restricted to a shorter time period and/or to regions at increasingly high elevation. In Bern, for example, the number of days per year with at least 5 cm snow depth will decrease by 90% from now 20 days to only 2 days on average.  	not-provided
chesapeake_val_2013.v0	2013 Chesapeake Bay measurements	OB_DAAC	2013-04-11		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360188-OB_DAAC.json	2013 Chesapeake Bay measurements.	not-provided
darling_sst_82-93	1982-1989 and 1993 Seawater Temperatures at the Darling Marine Center	SCIOPS	1982-03-01	1993-12-31	-71.31, 42.85, -66.74, 47.67	https://cmr.earthdata.nasa.gov/search/concepts/C1214621676-SCIOPS.json	Seawater Surface Temperature Data Collected between the years 1982-1989 and 1993 off the dock at the Darling Marine Center, Walpole, Maine	not-provided
eMASL1B.v1	Enhanced MODIS Airborne Simulator (eMAS) Calibrated, Geolocated Radiances L1B 50m Data	LAADS	2013-08-01	2019-08-22	-180, -35, 180, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2801308027-LAADS.json	The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. Prior to 1995, the MAS was deployed on the NASA's ER-2 and C-130 aircraft platforms using a 12-channel, 8-bit data system that somewhat constrained the full benefit of having a 50-channel scanning spectrometer. Beginning in January 1995, a 50-channel, 16-bit digitizer was used on the ER-2 platform, which greatly enhanced the capability of MAS to simulate MODIS data over a wide range of environmental conditions. Recently, it has undergone extensive upgrades to the optics and other components. New detectors have been installed and the spectral bands have been streamlined. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um.    For more information and for a list of MAS campaign flights  visit ladsweb at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/    or, visit the eMAS Homepage at:    https://asapdata.arc.nasa.gov/emas/	not-provided
eMASL2CLD.v1	Enhanced MODIS Airborne Simulator (eMAS) L2 Cloud Data	LAADS	2013-08-01	2016-09-28	-180, -35, 180, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2801723593-LAADS.json	The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um.    The Enhanced MODIS Airborne Simulator (eMAS) L2 Cloud Data product (eMASL2CLD) consists of cloud optical and physical parameters. These parameters are derived using remotely sensed infrared and near infrared solar reflected radiances. Multispectral images of the reflectance and brightness temperature at 10 wavelengths between 0.66 and 13.98nm were used to derive the probability of clear sky (or cloud), cloud thermodynamic phase, and the optical thickness and effective radius of liquid water and ice clouds. The eMASL2CLD product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file.        For more information and for a list of MAS campaign flights  visit ladsweb at:    https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/    or, visit the eMAS Homepage at:    https://asapdata.arc.nasa.gov/emas/	not-provided
ef6a9266-a210-4431-a4af-06cec4274726	Cartosat-1 (IRS-P5) - Panchromatic Images (PAN) - Europe, Monographic	FEDEO	2015-02-10		-25, 30, 45, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2207457985-FEDEO.json	Indian Remote Sensing satellites (IRS) are a series of Earth Observation satellites, built, launched and maintained by Indian Space Research Organisation. The IRS series provides many remote sensing services to India and international ground stations. The satellite has two panchromatic cameras that were especially designed for in flight stereo viewing. However, this collection contains the monoscopic data.	not-provided
envidat-lwf-34.v2019-03-06	10-HS Pfynwald	ENVIDAT	2019-01-01	2019-01-01	7.61211, 46.30279, 7.61211, 46.30279	https://cmr.earthdata.nasa.gov/search/concepts/C2789815241-ENVIDAT.json	Continuous measurement of soil water content at 10 and 80 cm depth (3 replications) with 10-HS soil moisture probes (Decagon Incorporation, Pullman, WA, USA).    ### Purpose: ###    Monitoring of the soil water matrix potential        ### Paper Citation: ###     * Dobbertin, M.; Eilmann, B.; Bleuler, P.; Giuggiola, A.; Graf Pannatier, E.; Landolt, W.; Schleppi, P.; Rigling, A., 2010: Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest. Tree Physiology, 30, 3: 346-360. [doi: 10.1093/treephys/tpp123](http://doi.org/10.1093/treephys/tpp123)    	not-provided
fife_hydrology_strm_15m_1.v1	15 Minute Stream Flow Data: USGS (FIFE)	ORNL_CLOUD	1984-12-25	1988-03-04	-96.6, 39.1, -96.6, 39.1	https://cmr.earthdata.nasa.gov/search/concepts/C2977827088-ORNL_CLOUD.json	USGS 15 minute stream flow data for Kings Creek on the Konza Prairie	not-provided
fife_sur_met_rain_30m_2.v1	30 Minute Rainfall Data (FIFE)	ORNL_CLOUD	1987-05-29	1987-10-26	-96.6, 39.08, -96.55, 39.11	https://cmr.earthdata.nasa.gov/search/concepts/C2977893818-ORNL_CLOUD.json	30 minute rainfall data for the Konza Prairie	not-provided
gov.noaa.nodc:0000029	1990, 1991, 1992 and 1995 CRETM/LMER Zooplankton Data Sets (NCEI Accession 0000029)	NOAA_NCEI	1990-09-26	1995-05-26	-124.041667, 0.766667, -16.25, 46.263167	https://cmr.earthdata.nasa.gov/search/concepts/C2089372282-NOAA_NCEI.json	Not provided	not-provided
gov.noaa.nodc:0000035	1996 - Early 1998 CRETM/LMER Phytoplankton Data (NCEI Accession 0000035)	NOAA_NCEI	1996-07-09	1998-03-06	-124.003, 46.179833, -123.183167, 46.261667	https://cmr.earthdata.nasa.gov/search/concepts/C2089372325-NOAA_NCEI.json	Pump cast sampling, and associated CTD casts took place from a fixed vessel during one 28-35 day cruise per year in 1990, 1991, 1992, 1995, and 1996.  In 1997 there were 2 week cruises in May, July, and October.	not-provided
gov.noaa.nodc:0000052	1988 Resurrection Bay Zooplankton Data Set from 01 March 1988 to 28 June 1988 (NCEI Accession 0000052)	NOAA_NCEI	1988-03-01	1988-06-28	-149.4083, 59.9117, -149.3583, 60.02	https://cmr.earthdata.nasa.gov/search/concepts/C2089372461-NOAA_NCEI.json	Zooplantkon and beach tar data were collected using plankton net casts in the Gulf of Alaska from the ALPHA HELIX. Data were collected from 01 March 1988 to 28 June 1988 by University of Alaska in Fairbanks; Institute of Marine Science with support from the Gulf of Alaska - 1 (GAK-1) project.	not-provided
gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_A_GLB-OSISAF-L3C.v1	GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-A) produced by OSI SAF (GDS version 2)	GHRSSTCWIC	2013-07-26	2016-02-23	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2213636900-GHRSSTCWIC.json	A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-A (MetOp-A) platform (launched 19 Oct 2006). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.	not-provided
gov.noaa.nodc:GHRSST-AVHRR_SST_METOP_B_GLB-OSISAF-L3C.v1	GHRSST L3C global sub-skin Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on Metop satellites (currently Metop-B) produced by OSI SAF (GDS version 2)	GHRSSTCWIC	2016-02-20		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2213637836-GHRSSTCWIC.json	A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset derived from the Advanced Very High Resolution Radiometer (AVHRR) on the European Meteorological Operational-B (MetOp-B) platform (launched 17 Sep 2012). The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from Metop/AVHRR. Global AVHRR level 1b data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the AVHRR infrared channels (3.7, 10.8 and 12.0 micrometer) using a multispectral algorithm. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. This global L3C product is derived from full resolution AVHRR l1b data that are re-mapped onto a 0.05 degree grid twice daily. The product format is compliant with the GHRSST Data Specification (GDS) version 2.	not-provided
gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR16_L.v1.0	GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 satellite (GDS version 1)	GHRSSTCWIC	2004-12-30	2005-10-26	-45, 20, 45, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2213638215-GHRSSTCWIC.json	A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-16 platform (launched on 21 Sep 2000).  The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km.  This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).	not-provided
gov.noaa.nodc:GHRSST-EUR-L2P-AVHRR17_L.v1.0	GHRSST Level 2P Atlantic Regional Bulk Sea Surface Temperature from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 satellite (GDS version 1)	GHRSSTCWIC	2004-12-30	2007-02-26	-45, 20, 45, 80	https://cmr.earthdata.nasa.gov/search/concepts/C2213638171-GHRSSTCWIC.json	A regional Level 2P Group for High Resolution Sea Surface Temperature (GHRSST) dataset for the Atlantic Ocean and nearby regions based on multi-channel sea surface temperature (SST) retrievals from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-17 platform (launched on 24 June 2002). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive sea surface temperature (SST) sometimes in combination with the 3.5 micron channel. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. This particular dataset is derived from Local Area Coverage (LAC) binary AVHRR SST binary data originally produced by the US Naval Oceanographic Office (NAVO) and downloaded from the NASA Physical Oceanography Distributed Active Archive Center (PO.DAAC). LAC are full resolution AVHRR data whose acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. Finally, L2P data products are derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5 including Single Sensor Error Statistics (SSES).	not-provided
gov.noaa.nodc:GHRSST-EUR-L2P-SEVIRI_SST.v4.0	GHRSST Level 2P Atlantic Regional Skin Sea Surface Temperature from the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on the Meteosat Second Generation (MSG-1) satellite (GDS version 1)	GHRSSTCWIC	2004-12-30	2012-03-15	-100, -60, 45, 60	https://cmr.earthdata.nasa.gov/search/concepts/C2213639968-GHRSSTCWIC.json	The Meteosat Second Generation (MSG) satellites are spin stabilized geostationary satellites operated by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to provide accurate weather monitoring data through its primary instrument the Spinning Enhanced Visible and InfraRed Imager (SEVIRI), which has the capacity to observe the Earth in 12 spectral channels.  Eight of these channels are in the thermal infrared, providing among other information, observations of the temperatures of clouds, land and sea surfaces at approximately 5 km resolution with a 15 minute duty cycle. This Group for High Resolution Sea Surface Temperature (GHRSST) dataset produced by Meteo France/ Centre de Meteorologie Spatiale (CMS), is derived from the SEVIRI instrument on the first MSG satellite (also known as Meteosat-8) that was launched on 28 August 2002. Skin sea surface temperature (SST) data are calculated from the infrared channels of SEVIRI at full resolution on a hourly basis. Remapping of original pixel size to 11.6 km resolution is made by spatial averaging, and a 3-hourly temporal resolution SST is created by averaging the hourly SSTs having the best confidence level. Data from different MSG satellites are not averaged together. L2P data products with Single Sensor Error Statistics (SSES) are then derived following the GHRSST-PP Data Processing Specification (GDS) version 1.5.	not-provided
gov.noaa.nodc:GHRSST-GOES16-OSISAF-L3C.v1	GHRSST L3C OSISAF SSTskin dataset v1.0 from GOES16 ABI in East position (GDS version 2)	GHRSSTCWIC	2018-10-02		-135, -60, -15, 60	https://cmr.earthdata.nasa.gov/search/concepts/C2213640438-GHRSSTCWIC.json	The data is regional and part of the High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset covering the America Region (AMERICAS) based on retrievals from the Advanced Baseline Imager (ABI) on board the Geostationary Operational Environmental Satellite-16 (GOES-16).  The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES-16 in the Eastern position. GOES-16 Imager level 1 data are acquired at Meteo-France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. The new GOES-East platform (GOES-16) enables daytime SST calculations (whereas, previously, GOES East SST was restricted to nighttime conditions). The GOES-16 SST is derived from three-bands (centered at 8.4, 10.3, and 12.3 um) algorithm. The ABI split-window configuration features three bands instead of the two found in heritage sensors. This offers additional potential but also may present a challenge if the two end bands centered at 10.3 and 12.3 um are pushed too far in the absorption lines. The 8.5-um is used in conjunction with the 10.3-um and 12.3-um bands for improved thin cirrus detection as well as for better atmospheric moisture correction in relatively dry atmospheres.  Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiative transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Each 30-minute observation interval is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05-degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30-minute SST data available in one-hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.	not-provided
gov.noaa.nodc:GHRSST-OISST_HR_NRT-GOS-L4-BLK.v2.0	Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution (GDS version 2)	GHRSSTCWIC	2012-02-01		26.375, 38.75, 42.375, 48.812	https://cmr.earthdata.nasa.gov/search/concepts/C2213642354-GHRSSTCWIC.json	CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.	not-provided
gov.noaa.nodc:GHRSST-OISST_UHR_NRT-GOS-L4-BLK.v2.0	Black Sea Ultra High Resolution SST L4 Analysis 0.01 deg Resolution (GDS version 2)	GHRSSTCWIC	2012-01-31		26.375, 38.75, 42.375, 48.812	https://cmr.earthdata.nasa.gov/search/concepts/C2213642712-GHRSSTCWIC.json	CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.01 deg. x 0.01 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.	not-provided
gov.noaa.nodc:GHRSST-REMSS-L2P_GRIDDED_25-TMI.v4.0	GHRSST L2P Gridded Global Subskin Sea Surface Temperature from the Tropical Rainfall Mapping Mission (TRMM) Microwave Imager (TMI) (GDS version 1)	GHRSSTCWIC	1998-01-01	2015-04-06	-180, -40, 180, 40	https://cmr.earthdata.nasa.gov/search/concepts/C2213645156-GHRSSTCWIC.json	"The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is a well calibrated passive microwave radiometer, similar to SSM/I, that contains lower frequency channels required for sea surface temperature (SST) retrievals. The TRMM is a joint venture between NASA and the Japan Aerospace Exploration Agency (JAXA) to measure precipitation, water vapor, SST and wind in the global tropical regions and was launched in November 1997. The TRMM satellite travels west to east in a 402 km altitude semi-equatorial precessing orbit that results in day-to-day changes in the observation time of any given earth location between 38S and 38N. In contrast to infrared SST observations, microwave retrievals can be measured through most clouds, and are also insensitive to water vapor and aerosols.  Remote Sensing Systems is the producer of these gridded TMI SST data for the Group for High Resolution Sea Surface Temperature (GHRSST) Project. Although the product designation is ""L2P_GRIDDED"" it is in actuality a Level 3 Collated (L3C) product as defined in the GHRSST Data Processing Specification (GDS) version 2.0. Its ""L2P_GRIDDED"" name derives from a deprecated specification in the early Pilot Project phase of GHRSST (pre 2008) and has remained for file naming continuity. In this dataset, both ascending (daytime) and descending (daytime) gridded orbital passes on packaged into the same daily file."	not-provided
gov.noaa.nodc:GHRSST-VIIRS_NPP-NAVO-L2P.v3.0	GHRSST Level 2P 1 m Depth Global Sea Surface Temperature version 3.0 from the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi NPP satellite (GDS version 2)	GHRSSTCWIC	2013-06-28		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2213644303-GHRSSTCWIC.json	A global Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on retrievals from the Visible Infrared Imaging Radiometer Suite (VIIRS). This sensor resides on the Suomi National Polar-orbiting Partnership (Suomi_NPP) satellite launched on 28 October 2011. VIIRS is a whiskbroom scanning radiometer which takes measurements in the cross-track direction within a field of regard of 112.56 degrees using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3060 km, providing full daily coverage both on the day and night side of the Earth.  The VIIRS instrument is a 22-band, multi-spectral scanning radiometer that builds on the heritage of the MODIS, AVHRR and SeaWiFS sensors for sea surface temperature (SST) and ocean color. For the infrared bands for SST the effective pixel size is 750 meters at nadir and the pixel size variation across the swath is constrained to no more than 1600 meters at the edge of the swath.  This L2P SST v3.0 is upgraded from the v2.0 with several significant improvements in processing algorithms, including contamination detection, cloud detection, and data format upgrades.  It contains the global near daily-coverage Sea Surface Temperature at 1-meter depth with 750 m (along) x 750 m (cross) spatial resolution in swath coordinates.  Each netCDF file has 768 x 3200 pixels in size, in compliance with the GHRSST Data Processing Specification (GDS) version 2 format specifications.	not-provided
lake_erie_aug_2014.v0	2014 Lake Erie measurements	OB_DAAC	2014-08-18		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1633360418-OB_DAAC.json	2014 Lake Erie measurements.	not-provided
latent-reserves-in-the-swiss-nfi.v1.0	'Latent reserves' within the Swiss NFI	ENVIDAT	2020-01-01	2020-01-01	5.95587, 45.81802, 10.49203, 47.80838	https://cmr.earthdata.nasa.gov/search/concepts/C2789815280-ENVIDAT.json	"The files refer to the data used in Portier et al. ""‘Latent reserves’: a hidden treasure in National Forest Inventories"" (2020) *Journal of Ecology*.           **'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for >40 to >70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database:           * Shrub forests were excluded.  * Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested.  * To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994).  * Plots had to originate from natural regeneration.   * Intensive livestock grazing must never have occurred on the plots.          The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php).    ****    The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper.     The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement.   "	not-provided
law_dome_annual_msa.v1	150 year MSA sea ice proxy record from Law Dome, Antarctica	AU_AADC	1841-01-01	1995-12-31	112.806946, -66.76972, 112.806946, -66.76972	https://cmr.earthdata.nasa.gov/search/concepts/C1214313532-AU_AADC.json	"This MSA record (1841-1995) is from a Law Dome ice core called ""DSS"" in East Antarctica. It was calibrated against satellite sea ice records and used to reconstruct sea ice extent prior to the satellite era. The following is taken from the abstract of the paper (Curran et al., 2003).   The instrumental record of Antarctic sea ice in recent decades does not reveal a clear signature of warming despite observational evidence from coastal Antarctica. This work shows a significant correlation (P less than 0.002) between methanesulphonic acid (MSA) concentrations from a Law Dome ice core and 22 years of satellite-derived sea ice extent (SIE) for the 80 degrees E to 140 degrees E sector.  Applying this instrumental calibration to longer term MSA data (1841 to 1995 A.D.) suggests that there has been a 20% decline in SIE since about 1950. The decline is not uniform, showing large cyclical variations, with periods of about 11 years, that confuse trend detection over the relatively short satellite era.  This work was completed as part of ASAC project 757 (ASAC_757)."	not-provided
mbs_wilhelm_msa_hooh.v1	15 year Wilhelm II Land MSA and HOOH shallow ice core record from Mount Brown South (MBS)	AU_AADC	1984-01-01	1998-12-31	86.082, -69.13, 86.084, -69.12	https://cmr.earthdata.nasa.gov/search/concepts/C1214313640-AU_AADC.json	This work presents results from a short firn core spanning 15 years collected from near Mount Brown, Wilhelm II Land, East Antarctica. Variations of methanesulphonic acid (MSA) at Mount Brown were positively correlated with sea-ice extent from the coastal region surrounding Mount Brown (60-1208 E) and from around the entire Antarctic coast (0-3608 E). Previous results from Law Dome identified this MSA-sea-ice relationship and proposed it as an Antarctic sea-ice proxy (Curran and others, 2003), with the strongest results found for the local Law Dome region. Our data provide supporting evidence for the Law Dome proxy (at another site in East Antarctica), but a deeper Mount Brown ice core is required to confirm the sea-ice decline suggested by Curran and others (2003). Results also indicate that this deeper record may also provide a more circum-Antarctic sea-ice proxy.  This work was completed as part of ASAC project 757 (ASAC_757).	not-provided
pfynwaldgasexchange.v1.0	2013-2020 gas exchange at Pfynwald	ENVIDAT	2021-01-01	2021-01-01	7.6105556, 46.3001905, 7.6163921, 46.3047564	https://cmr.earthdata.nasa.gov/search/concepts/C2789816347-ENVIDAT.json	Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds.   All metadata can be found in the attached documents.	not-provided
urn:ogc:def:EOP:VITO:VGT_S10.v1	10 Days Synthesis of SPOT VEGETATION Images (VGT-S10)	FEDEO	1998-04-01	2014-05-31	-180, -56, 180, 75	https://cmr.earthdata.nasa.gov/search/concepts/C2207472890-FEDEO.json	The VGT-S10 are near-global or continental, 10-daily composite images which are synthesised from the 'best available' observations registered in the course of every 'dekad' by the orbiting earth observation system SPOT-VEGETATION. The products provide data from all spectral bands (SWIR, NIR, RED, BLUE), the NDVI and auxiliary data on image acquisition parameters. The VEGETATION system allows operational and near real-time applications, at global, continental and regional scales, in very broad environmentally and socio-economically critical fields. The VEGETATION instrument is operational since April 1998, first with VGT1, from March 2003 onwards, with VGT2. More information is available on: https://docs.terrascope.be/#/DataProducts/SPOT-VGT/Level3/Level3	not-provided