This is the repository for the Global Labor Database (GLD). It aims to contain all necessary information to understand what the GLD is and how it functions. It does not, however, contain any microdata. For any questions please contact the Focal Point (gld@worldbank.org).
REST service that converts LOINC codes and UCUM units to a standardized representation
This is the official site of HACA3 harmonization algorithm.
A data specification for harmonizing One Health AMR pathogen genomics contextual data. The specification provides standardized (ontology-based) fields and terms which are implemented via a spreadsheet collection template, supported by field and reference guides as well as different curation and new term request SOPs.
A standardized browser-based spreadsheet editor and validator that can be run offline and locally, and which includes templates for SARS-CoV-2 and Monkeypox sampling data. This project, created by the Centre for Infectious Disease Genomics and One Health (CIDGOH), at Simon Fraser University, is now an open-source collaboration with contributions…
This is the source code for the Harmony project REST API
The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.
Easy to use online music scale and chords generator, multiple scales and modes included, scale finder, and visualization on guitar and keyboard.
Correct drone, aerial and satellite imagery to surface reflectance.
Code to run the data harmonization app and support cross-site analysis
Introduction to the Harmony project
🔠 Code and specifications to support harmonized data models
Collection template and associated materials for SARS-CoV-2 metadata
[WACV2021] Foreground-aware Semantic Representations for Image Harmonization https://arxiv.org/abs/2006.00809
A customizable, language-agnostic project template harmonizer tool
Official pytorch implementation of the paper: "SinDDM: A Single Image Denoising Diffusion Model"
An R 📦 that standardizes organizational names
The Harmony project
normalize the intensities of various MR image modalities
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