Scientific Software
Updated 8 months ago

modisfast — Peer-reviewed • Rank 10.4 • Science 98%

modisfast: An R package for fast and efficient access to MODIS, VIIRS and GPM Earth Observation data - Published in JOSS (2024)

Engineering (40%) Materials Science (40%)
Scientific Software · Peer-reviewed
Updated 8 months ago

skopeui • Rank 4.7 • Science 64%

SKOPE user interface and visualization app

Updated 8 months ago

https://github.com/catalyst-cooperative/pudl-archiver • Rank 6.5 • Science 59%

A tool for capuring snapshots of public data sources and archiving them on Zenodo for programmatic use.

Updated 8 months ago

coldpool • Rank 4.4 • Science 57%

Cold pool area and temperature data products from eastern Bering Sea, northern Bering Sea, Gulf of Alaska, and Aleutian Islands bottom trawl surveys.

Updated 8 months ago

scaling-categorization-for-citizen-science-data-collection • Rank 0.0 • Science 44%

How I helped a team scale their categorization using design thinking, cross-functional collaboration, and applied research.

Updated 8 months ago

https://github.com/cdcgov/ephtrackr • Rank 4.7 • Science 26%

R interface to the CDC National Public Health Tracking Network API

Updated 8 months ago

uk-edm-water-analysis • Science 57%

A Python pipeline that correlates UK sewage overflow (EDM) data with water quality measurements (2020–2024), using geospatial matching, pollutant severity scoring, and composite risk analytics to identify high-risk pollution sites and potential marine mortality events.

Updated 8 months ago

https://github.com/afsc-gap-products/gapctd • Science 26%

R Package to process data from trawl-mounted CTD

Updated 8 months ago

ejam • Science 26%

Environmental Justice Analysis Multisite tool for summarizing environmental and residential population information for multiple locations. This detached fork of the package and this repository are not associated with the USEPA.

Updated 8 months ago

https://github.com/chrisrac/pyenfra • Science 26%

A Python package for fractal and complexity analysis of time series.