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3 datasets found for "ios签名怎么不掉签[567seo.com]"

Federal

The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Predicted Channel Widths and Depths

U.S. Environmental Protection Agency —

This dataset represents predicted channel widths and depths from Doyle et al. 2023. Values include: Predicted wetted width: distance of the water\u2019s edge from...
- API
- Comma-Separated Values (.csv)
Federal

The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Predicted Biological Condition

U.S. Environmental Protection Agency —

This dataset consists of predicted probabilities of good biological condition based in the US EPA 2008/2009 National Rivers and Streams Assessment (NRSA). NRSA...
- API
- Comma-Separated Values (.csv)
Federal

The StreamCat Dataset: Accumulated Attributes for NHDPlusV2 (Version 2.1) Catchments for the Conterminous United States: Surface Water Nitrogen Flux

U.S. Environmental Protection Agency —

This dataset represents estimated surface water TN flux within individual, local NHDPlusV2 catchments and upstream, contributing watersheds. Measured as kg N/km2.
- API
- Comma-Separated Values (.csv)

3 datasets found for "ios签名怎么不掉签[567seo.com]"

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