Found 15 datasets matching filters.
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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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2026-02-28 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
This web service provides key ecological data layers in the New York Bight via the Internet and which can be loaded into client side GIS software. The web service includes spatial data for...
Search relevance: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
NCCOS Assessment: An Aquaculture Opportunity Atlas for the State of Alaska, 2023-06-01 to 2025-06-31
Geospatial data representing the Aquaculture Opportunity Area (AOA) study developed during 2024 for the State of Alaska. Included in this dataset are: (1) Study areas in State of Alaska waters...
Search relevance: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19 -
Shapefiles of the Aquaculture Opportunity Area (AOA) study developed during 2021 for the Southern California Bight. Included in this dataset are: (1) Study areas in the Southern California Bight...
Search relevance: 1.00 | Views last month: 0 | Published on: 2026-02-28 -
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: 1.00 | Views last month: 0 | Published on: 2025-12-19
