NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region

This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. It contains results from calculating...

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Bibliographic Details
Main Author: U.S. Geological Survey
Format: Dataset
Language:unknown
Published: USGS Science Data Catalog 2006
Subjects:
PSC
Online Access:https://search.dataone.org/view/9eae2f94-7508-41e5-92f6-062f82595e4a
id dataone:9eae2f94-7508-41e5-92f6-062f82595e4a
record_format openpolar
spelling dataone:9eae2f94-7508-41e5-92f6-062f82595e4a 2024-06-03T18:46:40+00:00 NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region U.S. Geological Survey ENVELOPE(-75.5,-71.0,42.0,38.0) 2006-01-01T00:00:00Z https://search.dataone.org/view/9eae2f94-7508-41e5-92f6-062f82595e4a unknown USGS Science Data Catalog analyses CMGP Coastal and Marine Geology Program dbSEABED descriptions geology grain size Marine Aggregates Resources and Processes seabed seafloor sediment data texture U.S. Geological Survey USGS usSEABED Woods Hole Science Center University of Colorado Institute of Arctic and Alpine Research Benthic Habitats (Pacific) Project Pacific Science Center WHSC PSC INSTAAR oceans and estuaries location geoscientificInformation Oceans Marine Sediments Biogenic Sediments Sediment Chemistry Sediment Composition Sediment Textures Sedimentation Terrigenous Sediments New York New Jersey New York Bight Atlantic coast East Coast United States Atlantic Ocean Dataset 2006 dataone:urn:node:USGS_SDC 2024-06-03T18:09:56Z This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. It contains results from calculating variables using empirical functions working on the results of extraction or parsing. The CLC data is the most derivative and certainly the least accurate; however, many clients appreciate that it extends the coverage of map areas with attributes, especially physical properties attributes. Dataset Arctic Institute of Arctic and Alpine Research USGS Science Data Catalog (via DataONE) Arctic Pacific ENVELOPE(-75.5,-71.0,42.0,38.0)
institution Open Polar
collection USGS Science Data Catalog (via DataONE)
op_collection_id dataone:urn:node:USGS_SDC
language unknown
topic analyses
CMGP
Coastal and Marine Geology Program
dbSEABED
descriptions
geology
grain size
Marine Aggregates Resources and Processes
seabed
seafloor
sediment data
texture
U.S. Geological Survey
USGS
usSEABED
Woods Hole Science Center
University of Colorado
Institute of Arctic and Alpine Research
Benthic Habitats (Pacific) Project
Pacific Science Center
WHSC
PSC
INSTAAR
oceans and estuaries
location
geoscientificInformation
Oceans
Marine Sediments
Biogenic Sediments
Sediment Chemistry
Sediment Composition
Sediment Textures
Sedimentation
Terrigenous Sediments
New York
New Jersey
New York Bight
Atlantic coast
East Coast
United States
Atlantic Ocean
spellingShingle analyses
CMGP
Coastal and Marine Geology Program
dbSEABED
descriptions
geology
grain size
Marine Aggregates Resources and Processes
seabed
seafloor
sediment data
texture
U.S. Geological Survey
USGS
usSEABED
Woods Hole Science Center
University of Colorado
Institute of Arctic and Alpine Research
Benthic Habitats (Pacific) Project
Pacific Science Center
WHSC
PSC
INSTAAR
oceans and estuaries
location
geoscientificInformation
Oceans
Marine Sediments
Biogenic Sediments
Sediment Chemistry
Sediment Composition
Sediment Textures
Sedimentation
Terrigenous Sediments
New York
New Jersey
New York Bight
Atlantic coast
East Coast
United States
Atlantic Ocean
U.S. Geological Survey
NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
topic_facet analyses
CMGP
Coastal and Marine Geology Program
dbSEABED
descriptions
geology
grain size
Marine Aggregates Resources and Processes
seabed
seafloor
sediment data
texture
U.S. Geological Survey
USGS
usSEABED
Woods Hole Science Center
University of Colorado
Institute of Arctic and Alpine Research
Benthic Habitats (Pacific) Project
Pacific Science Center
WHSC
PSC
INSTAAR
oceans and estuaries
location
geoscientificInformation
Oceans
Marine Sediments
Biogenic Sediments
Sediment Chemistry
Sediment Composition
Sediment Textures
Sedimentation
Terrigenous Sediments
New York
New Jersey
New York Bight
Atlantic coast
East Coast
United States
Atlantic Ocean
description This data layer is a point coverage of known sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the calculated (CLC) output of the dbSEABED mining software. It contains results from calculating variables using empirical functions working on the results of extraction or parsing. The CLC data is the most derivative and certainly the least accurate; however, many clients appreciate that it extends the coverage of map areas with attributes, especially physical properties attributes.
format Dataset
author U.S. Geological Survey
author_facet U.S. Geological Survey
author_sort U.S. Geological Survey
title NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
title_short NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
title_full NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
title_fullStr NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
title_full_unstemmed NYNJ_CLC: usSEABED CaLCulated data for the New York-New Jersey Region
title_sort nynj_clc: usseabed calculated data for the new york-new jersey region
publisher USGS Science Data Catalog
publishDate 2006
url https://search.dataone.org/view/9eae2f94-7508-41e5-92f6-062f82595e4a
op_coverage ENVELOPE(-75.5,-71.0,42.0,38.0)
long_lat ENVELOPE(-75.5,-71.0,42.0,38.0)
geographic Arctic
Pacific
geographic_facet Arctic
Pacific
genre Arctic
Institute of Arctic and Alpine Research
genre_facet Arctic
Institute of Arctic and Alpine Research
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