Scleractinia Oculinidae Madrepora

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: Oculinidae, Genus: Madrepora

Data e Risorse

Campo Valore
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 Oculinidae Madrepora
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 e3b2fea001a4882c002fd05202991b21be2c5623
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]]]}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • benthic
  • ckan
  • cold-water-corals
  • corals
  • deep-sea-corals
  • geo
  • geoss
  • gulf-of-mexico
  • habitat
  • habitat-suitability
  • marine-wildlife
  • national
  • north-america
  • 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 2025-11-22T10:35:35.847949
metadata_modified 2025-11-22T10:35:35.847953
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: Oculinidae, Genus: Madrepora
num_resources 3
num_tags 19
title Scleractinia Oculinidae Madrepora