Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
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Updated
May 2, 2024
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
Python library for reading and writing well data using Log ASCII Standard (LAS) files
Pastas is an open-source Python framework for the analysis of groundwater time series.
Groundwater Time Series Modeling Challenge
Groundwater timeseries analysis of hydrographs
Python package to Create, Read, Write, Edit, and Visualize GSFLOW models
Module for loading observation data into custom DataFrames
Tools used to manipulate hydrograph data; Solinst xles to pandas dataframe; hydrograph analysis; hydrology; Gannt Charts; Piper diagrams; hydrogeology; wells; groundwater; USGS data; WQP data;
A package for audio-frequency magnetotellurics
From Peeters 2014 in Groundwater; ArcGIS Python Toolbox; Piper Diagram; Water Chemistry
MODFLOW-NWT - Version: 1.1.0 Newton Formulation for MODFLOW-2005 For more information go to http://water.usgs.gov/ogw/modflow-nwt
Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning
Material for teaching hydro-related subjects
Analytical solutions for groundwater contaminant transport
Multivariate timeseries analysis using dynamic factor modelling.
R interface to the South Florida Water Management District's DBHYDRO Database 💦 🌴
🍝 🏪 Tools for managing timeseries and Pastas models
pumpingtest is a R package designed for the analysis and evaluation of aquifer tests in wells. The package includes the most common analytical solutions used to describe groundwater flow in different types of aquifers around wells.
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