
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
13.92 score 324 stars 15 dependents 2.2k scripts 5.3k 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
11.15 score 99 stars 1 dependents 421 scripts 456 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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9.85 score 33 stars 5 dependents 34 scripts 4.7k downloadssbtools - 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
8.59 score 25 stars 2 dependents 158 scripts 369 downloadsncdfgeom - 'NetCDF' Geometry and Time Series
Tools to create time series and geometry 'NetCDF' files.
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cf-conventionsgeometrynetcdftimeseriestimeseries-data
7.73 score 19 stars 3 dependents 15 scripts 5.2k 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
5.64 score 11 stars 40 scripts 687 downloadsmortar - Standardize Data Science Workflows
Helper functions to standardize common workflows in the U.S. Geological Survey Data Science Community of Practice.
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5.26 score 2 stars 2 scripts 416 downloads
