NOAA ESRI Shapefile - sediment composition class predictions in New York offshore planning area from Biogeography Branch

Description

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 size was developed building upon the data compilation and analytical framework laid out by Goff et al. (2008) and Poppe et al. (2005).

Resources

Name Format Description Link
0 Online Resource http://coastalscience.noaa.gov/projects/detail?key=80
0 The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. https://www.earthdata.nasa.gov/learn/find-data/idn/gcmd-keywords
33 NOAA Data Management Plan for this record on InPort. https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/nccos/dmp/pdf/38960.pdf
57 Offline Data http://coastalscience.noaa.gov/projects/download.aspx?fpath=D%3a%5cWebsites%5cNCCOS%5cprojects-attachments%5c80%5cNY_assessment_data_package.zip
0 View the complete metadata record on InPort for more information about this dataset. https://www.fisheries.noaa.gov/inport/item/38960

Tags

  • environment
  • seafloor
  • ny_spatialplan
  • national ocean service
  • national centers for coastal ocean science
  • mid-atlantic
  • noaa
  • bathymetry/topography
  • long-term average determined by input data
  • spatial planning
  • new york
  • oceancommunity
  • u.s. department of commerce
  • prediction
  • doc/noaa/nos/nccos
  • new york bight
  • sediment
  • grain size
  • new york offshore planing area
  • northwest atlantic ocean
  • uncertainty
  • long island

Topics

Categories