• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2022-03-18T00:00:00.000+00:00

The C-HARM model generates nowcast and forecasts of the probability of Pseudo-nitzschia concentrations of in excess of 10,000 cells/L in California and Southern Oregon coastal water. Gap-filled...

• html
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2021-09-24T00:00:00.000+00:00

This dataset is a compilation of modeled spatial distributions of Threatened corals, Orbicella annularis (lobed star coral) and Orbicella faveolata (mountainous star coral)/Orbicella franksi...

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• +34 more

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2019-08-05T00:00:00.000+00:00

Three-dimensional (3D) connectivity matrices between Pulley Ridge and the Florida Keys using the Connectivity Modeling System (CMS) for bicolor damselfish (Stegastes partitus), red lionfish...

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• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

This raster represents a continuous surface of sage-grouse habitat probability values for Nevada and California. These values are derived from modeling the resource selection function (RSF) for...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2021-06-24T00:00:00Z

This dataset consists of raster geotiff outputs from a series of modeling simulations for the California Central Valley. The full methods and results of this research are described in detail in...

• xml
• xml

• Organization: Department of Agriculture
• Updated: 2022-08-25

The 2018 Wildland Hazard Potential (WHP) represents areas of uncharacteristic fuel buildup. The WFP is a raster geospatial product produced by the USFS Fire Modeling Institute in the Fire, Fuel,...

• none
• api
• xml

• Organization: Department of the Interior
• Updated: 2020-08-27T00:00:00Z

This data release contains: (1) ASCII grids of predicted probability of elevated arsenic in groundwater for the Northwest and Central Minnesota regions, (2) input arsenic and predictive variable...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2021-01-14T00:00:00Z

Restoration of the Florida Everglades, a substantial wetland ecosystem within the United States, is one of the largest ongoing restoration projects in the world. Decision-makers and managers...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2021-10-08T00:00:00Z

EverSparrow is a spatially explicit Bayesian model of Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis; CSSS) presence that quantifies the interdependent relationships between a range of...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2020-08-20T00:00:00Z

This is the probability of occurrence model output for coniferous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of...

• xml
• xml

• Organization: Department of Agriculture
• Updated: 2025-10-06

Note: This Wildfire Hazard Potential (WHP) image service has been deprecated. Previous versions—including 2014, 2018, 2020, and 2023 continuous and classified datasets—have been replaced by a...

• api
• none
• xml

• Organization: Department of the Interior
• Updated: 2020-08-20T00:00:00Z

This is the probability of occurrence model output for deciduous vegetation cover associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2020-08-20T00:00:00Z

This is the synthesis cover map derived from the probability of occurrence models associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the...

• xml
• xml