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dataRetrieval - Retrieval Functions for USGS and EPA Hydrology and Water Quality Data

Collection of functions to help retrieve U.S. Geological Survey and U.S. Environmental Protection Agency water quality and hydrology data from web services.

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usgs

14.17 score 334 stars 17 dependents 2.2k scripts 6.2k downloads

EGRET - Exploration and Graphics for RivEr Trends

Statistics and graphics for streamflow history, water quality trends, and the statistical modeling algorithm: Weighted Regressions on Time, Discharge, and Season (WRTDS).

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usgswater-qualitywater-quality-data

11.43 score 101 stars 1 dependents 419 scripts 2.1k downloads

hydrogeofetch - Hydrologic Geospatial Fabric Extraction Tool Chain

Traverses and works with National Hydrography Dataset Plus (NHDPlus) data. All methods implemented in 'hydrogeofetch' are available in the NHDPlus documentation available from the US Environmental Protection Agency <https://www.epa.gov/waterdata/basic-information>. Previously published as 'nhdplusTools'.

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9.18 score 97 stars 2 dependents 17 scripts 1.8k downloads

hydroloom - Utilities to Weave Hydrologic Fabrics

A collection of utilities that support creation of network attributes for hydrologic networks. Methods and algorithms implemented are documented in Moore et al. (2019) <doi:10.3133/ofr20191096>, Cormen and Leiserson (2022) <ISBN:9780262046305> and Verdin and Verdin (1999) <doi:10.1016/S0022-1694(99)00011-6>.

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8.64 score 35 stars 5 dependents 26 scripts 2.1k downloads

sbtools - USGS ScienceBase Tools

Tools for interacting with U.S. Geological Survey ScienceBase <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.

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sciencebaseusgs

8.42 score 24 stars 2 dependents 153 scripts 584 downloads

ncdfgeom - 'NetCDF' Geometry and Time Series

Tools to create time series and geometry 'NetCDF' files.

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cf-conventionsgeometrynetcdftimeseriestimeseries-data

7.66 score 19 stars 3 dependents 15 scripts 3.0k downloads

toxEval - Exploring Biological Relevance of Environmental Chemistry Observations

Data analysis package for estimating potential biological effects from chemical concentrations in environmental samples. Included are a set of functions to analyze, visualize, and organize measured concentration data as it relates to user-selected chemical-biological interaction benchmark data such as water quality criteria. The intent of these analyses is to develop a better understanding of the potential biological relevance of environmental chemistry data. Results can be used to prioritize which chemicals at which sites may be of greatest concern. These methods are meant to be used as a screening technique to predict potential for biological influence from chemicals that ultimately need to be validated with direct biological assays. A description of the analysis can be found in Blackwell (2017) <doi:10.1021/acs.est.7b01613>.

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toxicitywater-quality

7.32 score 22 stars 106 scripts 349 downloads

EGRETci - Exploration and Graphics for RivEr Trends Confidence Intervals

Collection of functions to evaluate uncertainty of results from water quality analysis using the Weighted Regressions on Time Discharge and Season (WRTDS) method. This package is an add-on to the EGRET package that performs the WRTDS analysis. The WRTDS modeling method was initially introduced and discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>, and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>. The paper describing the uncertainty and confidence interval calculations is Hirsch et al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.

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bootstrapegretusgswater-quality-trends

5.62 score 11 stars 38 scripts 566 downloads

mortar - Standardize Data Science Workflows

Helper functions to standardizes common workflows in the USGS Data Science Community of Practice to produce more robust, reproducible pipelines. It contains helper functions to standardize (1) the organization of project repositories and (2) the creation ofpipelines from the 'targets' R Package (Landau et al. (2026) <doi:10.5281/zenodo.18555866>), using the DS CoP best practices. We draw upon community developed best practices as well as certain USGS-specific requirements. See Shrycock et al. (2023) <doi:10.3133/tm7B2> for examples of these USGS requirements.

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4.95 score 2 stars 2 scripts 345 downloads