This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services. See: http://usgs-r.github.io/dataRetrieval/
An R-package for the analysis of long-term changes in water quality and streamflow, including the water-quality method Weighted Regressions on Time, Discharge, and Season (WRTDS). http://usgs-r.github.io/EGRET/
R tools for geo-web processing of gridded data via the Geo Data Portal. geoknife slices up gridded data according to overlap with irregular features, such as watersheds, lakes, points, etc.
Python library for loading and iterating over climate and flow time series data (from ACIS/NOAA RCCs, CoCoRaHS, Hydromet/USBR, CNRFC ESP/NWS, SNOTEL/AWDB/NRCS, and NWIS/USGS)
streamMetabolizer uses inverse modeling to estimate aquatic metabolism (photosynthesis and respiration) from time series data on dissolved oxygen, water temperature, depth, and light.
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