Filters: partyWithName: U.S. Geological Survey (X) > partyWithName: Water Resources (X) > Types: OGC WMS Service (X)
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This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segements across the Delaware River Basin (DRB). Results are provided for two time periods: the historical drought-of-record from 1965-10-02 to 1969-12-30, and that same drought evaluated in climatic conditions that are consistent with a LENS2 enseble climate projection from 2057-10-02 to 2061-12-30. Results are provided for a total of three Random Forest models, corresponding to three input attribute sets (dynamic attributes, dynamic and static attributes, and dynamic attributes and a minimum set of static attributes)....
Categories: Data,
Data Release - In Progress;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware (DE),
Delaware River Basin,
Environment,
Machine Learning,
Maryland (MD),
Benthic macroinvertebrate samples to evaluate before- and after-culvert construction phases were collected at seven study sites. Samples were collected in two reaches at each site, one upstream and one downstream of the culvert installation. Biological data for all seven sites (14 sample reaches) are included in this data release. In the summer of 2011, samples were collected from upstream and downstream reaches at six stream sites. Samples from Oakmulgee Creek, Northington Branch, Lye Branch, Mill Creek, and Kanetuche Creek represented conditions before culvert construction. The samples from the Tributary to Cahaba River represented conditions during construction since the culvert was already constructed and active...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Alabama,
Gulf Coastal Plain,
aquatic biology,
macroinvertebrates
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