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New Jersey Mean (interpolated) Beach Slope Point Data

Metadata Updated: January 22, 2026

The National Assessment of Coastal Change Hazards project derives beach morphology features from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes for New Jersey for data collected at various times between 2007 and 2014.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date January 12, 2026
Metadata Updated Date January 22, 2026

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date January 12, 2026
Metadata Updated Date January 22, 2026
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/USGS_8cbd04e6-e8e5-46c6-8b4e-f03f96ce3633
Data Last Modified 2020-10-13T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Datagov Dedupe Retained 20260122055112
Harvest Object Id 176cf8af-6ce4-4ae7-908c-b4350e4bb21c
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": -74.9716, 38.9144, -74.9716, 40.4802, -73.9712, 40.4802, -73.9712, 38.9144, -74.9716, 38.9144}
Source Datajson Identifier True
Source Hash 5c6821710c8d9f64884696f2d3a9560e41080aba03b318adac06bd3353e24b6e
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -74.9716, 38.9144, -74.9716, 40.4802, -73.9712, 40.4802, -73.9712, 38.9144, -74.9716, 38.9144}

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