Found 12 datasets matching "Long-term average determined by input data".
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This dataset represents seabird diversity predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual species...
Search relevance: 81.27 | Views last month: 0 -
This dataset represents sediment composition class predictions from a sediment spatial model developed for the New York offshore spatial planning area. The predictive spatial model of mean grain...
Search relevance: 81.27 | Views last month: 0 -
This dataset represents hard bottom occurrence predictions from a spatial model developed for the New York offshore spatial planning area. This model builds upon the data compilation and...
Search relevance: 80.07 | Views last month: 0 -
This dataset represents sediment size prediction uncertainty from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit...
Search relevance: 80.07 | Views last month: 0 -
This dataset represents depth predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty estimates...
Search relevance: 79.64 | Views last month: 0 -
This dataset represents depth uncertainty predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit depth...
Search relevance: 79.40 | Views last month: 0 -
This dataset represents relative seabird abundance predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual...
Search relevance: 78.67 | Views last month: 0 -
This dataset represents seabird species richness, or number of species, predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from...
Search relevance: 78.46 | Views last month: 0 -
This dataset represents sediment size predictions from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty...
Search relevance: 78.22 | Views last month: 0 -
This dataset represents relative seabird abundance predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual...
Search relevance: 78.22 | Views last month: 0 -
These data sets show the distribution of key species and habitats, such as seabirds, bathymetry, surficial sediments, deep sea corals, and oceanographic habitats. NOAA’s Biogeography Branch worked...
Search relevance: 56.87 | Views last month: 0 -
The U.S. Geological Survey is developing national water-use models to support water resources management in the United States. Model benefits include a nationally consistent estimation approach,...
Search relevance: 24.88 | Views last month: 0