Scleractinia Flabellidae

The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum entropy (MaxEnt). NOAA National Centers for Coastal Ocean Science (NCCOS) combined databases of known deep-sea coral locations provided by the NOAA Deep-Sea Coral Research and Technology Program (DSCRTP) and other contributors with environmental and oceanographic data to generate the predictive models of deep-sea coral distribution. These models are used to produce regional maps of deep-sea coral habitat. In these regions, deep-sea coral occurs on the continental shelves and slopes, at ocean depths of approximately 50 to greater than 2,000 meters. Model predictions are organized into five hierarchical categories to be able to compare the data across coral taxa and across regions. The categories correspond to the predicted likelihood of suitable deep sea coral habitat occurring. Order: Scleractinia, Family: Flabellidae

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {006:48}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier Scleractinia Flabellidae
language {en-US}
modified 2014-07-30
old-spatial {"type": "Polygon", "coordinates": [[[-97.362431, 23.543821], [-64.998587, 23.543821], [-64.998587, 44.647331], [-97.362431, 44.647331], [-97.362431, 23.543821]]]}
programCode {000:000}
publisher NOAA Office for Coastal Management (Point of Contact)
resource-type Dataset
source_datajson_identifier true
source_hash 82b7ef548000be67292a7460af659f75bc2f0928
source_schema_version 1.1
spatial {"type": "Polygon", "coordinates": [[[-97.362431, 23.543821], [-64.998587, 23.543821], [-64.998587, 44.647331], [-97.362431, 44.647331], [-97.362431, 23.543821]]]}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • atlantic
  • benthic
  • ckan
  • cold-water-corals
  • corals
  • deep-sea-corals
  • geo
  • geoss
  • habitat
  • habitat-suitability
  • marine-wildlife
  • national
  • north-america
  • northeast
  • ocean-energy-planning
  • predictive-models
  • species-distribution
  • united-states
isopen False
license_id notspecified
license_title License not specified
maintainer NOAA Office for Coastal Management
maintainer_email coastal.info@noaa.gov
metadata_created 2025-11-21T03:44:39.049267
metadata_modified 2025-11-21T03:44:39.049271
notes The data represent predicted habitat suitability for several taxa of deep-sea corals. Predictions were modeled using a statistical machine-learning algorithm called maximum entropy (MaxEnt). NOAA National Centers for Coastal Ocean Science (NCCOS) combined databases of known deep-sea coral locations provided by the NOAA Deep-Sea Coral Research and Technology Program (DSCRTP) and other contributors with environmental and oceanographic data to generate the predictive models of deep-sea coral distribution. These models are used to produce regional maps of deep-sea coral habitat. In these regions, deep-sea coral occurs on the continental shelves and slopes, at ocean depths of approximately 50 to greater than 2,000 meters. Model predictions are organized into five hierarchical categories to be able to compare the data across coral taxa and across regions. The categories correspond to the predicted likelihood of suitable deep sea coral habitat occurring. Order: Scleractinia, Family: Flabellidae
num_resources 3
num_tags 20
title Scleractinia Flabellidae