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OAS accession Detail for 0282806
| << previous | |revision: 13 |
| accessions_id: | 0282806 | archive |
|---|---|
| Title: | NCCOS Assessment: Southeastern U.S. Predictive Modeling of Deep-Sea Corals and Hardbottom Habitats, 2016-10-01 to 2021-09-30 (NCEI Accession 0282806) |
| Abstract: | This data collection contains geospatial data from models predicting the spatial distributions of deep-sea corals (DSCs) and hardbottom habitats offshore of the southeastern U.S. It includes a database (.csv text file) containing records of occurrence (presence-absence) for DSCs with associated measures of sampling effort and bottom type from 20 datasets comprised of data from visual field surveys conducted with underwater vehicles. It also includes raster datasets at 100 x 100 m spatial resolution depicting the median and coefficient variation of the predicted occurrence (occupancy probability) for 24 taxa of DSCs (23 genera, 1 family) and hardbottom habitats. Additional raster datasets depict the median and coefficient of variation of the predicted genus richness for the 23 genera of DSCs. The data collection also includes raster datasets at 100 x 100 m spatial resolution depicting each of the 62 spatial environmental predictors considered for fitting the models. For more information, see Poti et al. (2022). The project to compile this model took place between 2016 and 2021, however the model input data range from 2001-2018 and the model output covers the same timeframe. |
| Date received: | 20240815 |
| Start date: | 20161001 |
| End date: | 20210930 |
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| West boundary: | -83.000522 |
| East boundary: | -71.568484 |
| North boundary: | 38.329956 |
| South boundary: | 23.816104 |
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| Submitting institution: | US DOC; NOAA; NOS; National Centers for Coastal Ocean Science |
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| Supplementary information: | In this accession, NCEI has archived multiple versions of these data. The latest (and best) version of these data has the largest version number. Methods: A database of DSC occurrences (presence-absence) with associated measures of sampling effort (i.e., area observed by a survey segment) and bottom type was compiled from 20 available datasets containing data from underwater visual surveys conducted between 2001 and 2018. Spatially-explicit hierarchical occupancy models were used to relate records of DSC and hardbottom habitat occurrence from the database to spatial environmental predictors characterizing the seafloor, oceanography, and geography of the study area in order to predict and map the estimated occurrence of 24 taxa of DSCs and hardbottom habitats across the study area. The models attempted to account for imperfect detection and thus standardize estimates of occurrence across taxa. Variability in model predictions was also mapped to provide a measure of the level of confidence in the model predictions. The models also predicted the genus richness for 23 genera of DSCs. For more details, see Poti et al. (2022). File Information: Total File Size: 90.6 GB total, 117 files in 3 folders (unzipped), 16.9 GB (zipped) Data File Format(s): Flat text file .CSV GeoTiff .TIF ##Data File Compression: No compression Data File Resolution: 100 x 100 meters ##GIS Projection: oblique Mercator coordinate system (origin = 35°N 75°W, azimuth = 40°, scale = 0.9996, datum = NAD83) |
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| Metadata version: | 13 |
| Keydate: | 2023-09-15 16:45:51+00 |
| Editdate: | 2024-09-19 19:26:46+00 |