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Spatial Extent of Data

ISO 19115 Topic Category

Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)

This dataset contains 3,229 feather files with time series of all model inputs for machine learning models predicting streamflow drought across the conterminous United States (CONUS). Files contain weekly time series of streamflow percentiles, meteorology, snow water equivalent, forecast meteorology, estimated water use, soil moisture, as well as lagged versions of these datasets. Values in these files were assembled from existing published datasets as explained in the data quality and processing steps sections.

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Author(s) John C Hammond orcid
Publication Date 2025-07-01
Beginning Date of Data 1980-04-01
Ending Date of Data 2020-03-30
Data Contact
DOI https://doi.org/10.5066/P1X5VH96
Citation Hammond, J.C., 2025, Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025): U.S. Geological Survey data release, https://doi.org/10.5066/P1X5VH96.
Metadata Contact
Metadata Date 2025-09-22
Related Publication
Citations of these data No citations of these data are known at this time.
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License http://www.usa.gov/publicdomain/label/1.0/
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Harvest Source: ScienceBase
Harvest Date: 2025-09-23T05:03:17.934Z