• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 1997-01-01T00:00:00.000+00:00

The fishery genetics tissue collection has over 80,000 tissues stored in 95% ethanol representing fishes and invertebrates collected globally but with a focus on the North Pacific. These samples...

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• Organization: Department of the Interior
• Updated: 2021-12-06T00:00:00Z

An Access database containing wildlife observations from staff / visitors / survey efforts and reference material. There is a "vertebrates", an "invertebrates" and a "roadkill" table. Contains...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2004-05-11T00:00:00.000+00:00

Surveys for adult invertebrates that were part of the hull fouling communities were done to determine to what extent marine alien invasive species (AIS) are being transported in this fashion. The...

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• Organization: Department of the Interior
• Updated: 2023-01-27T00:00:00Z

As grazers, sea urchins are keystone species in tropical marine ecosystems, and their loss can have important ecological ramifications. Die-offs of urchins are frequently described but their...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2020-04-28T00:00:00.000+00:00

NOAA's Deep-Sea Coral Research and Technology Program (DSC-RTP) is compiling a national geodatabase of the known locations of deep-sea corals and sponges in U.S. territorial waters and beyond. The...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the total benthic cover of six coral species (Montipora capitata, Montipora flabellata, Montipora patulla, Porites lobata, Porites compressa, Porites meandrina) in...

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

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar,...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2025-05-01T00:00:00.000+00:00

These data are a set of raster maps of community-level predictions of deep-sea coral and sponge taxa distributions off the continental U.S. west coast, spanning depths from 50 to 1200 m. The...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2024-08-02T00:00:00.000+00:00

The Bering Sea and Slope Dropcam Survey of Deep Sea Corals and Sponges for 2014 dataset includes approximately 2160 GB of image files from the 2014 underwater camera surveys of the Bering Sea...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora flabellata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Porites lobata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software using...

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

In this observational pilot study, we worked at the largest existing solar tower facility in the world (Ivanpah Solar Electric Generating System - ISEGS) to assess the efficacy of using radar,...

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• xml

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora capitata in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Porites compressa in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Montipora patula in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2014-09-26T00:00:00.000+00:00

Output from a model to predict the benthic cover of Pocillopora meandrina in the Hawaiian Islands as a proportion (0-1.0). Coral cover was modeled with boosted regression trees (BRT) in R software...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2024-09-20T00:00:00.000+00:00

Generalized linear models (GLM) generated for predicting the distribution of macroinvertebrate-sized hydroids, brittle stars, and short and tall sea pens that live in the Santa Barbara Channel...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2016-09-01T00:00:00.000+00:00

This data set contains sensitive biological resource data for marine, estuarine, and freshwater invertebrate species, as well as terrestrial insects in Chesapeake Bay and the Outer Coasts of...

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• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2015-10-01T00:00:00.000+00:00

This data set contains sensitive biological resource data for marine, estuarine, and terrestrial invertebrate species for the Outer Coast of Washington and Oregon. Vector polygons in this data...

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• Organization: Department of the Interior
• Updated: 2021-10-13T00:00:00Z

This portion of the data release presents terrestrial invertebrate abundance data from samples collected in emergent and shrub vegetation along the edge of the Elwha River estuary, Washington, in...

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