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Primary and supplementary data for estimating the the timing of crustal shortening and the initiation of left-lateral shear within the central Kunlun Shan, northern Tibet

Metadata Updated: July 6, 2024

This repository includes thermochronologic and geochronologic datasets generated for analysis and interpretation of the faulting history of the Kunlun Shan region of northern Tibet, as well as published timing of fault activity on other pertinent structures in the Tibetan Plateau.

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 June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/260cd192ad60105fdf07ec5c06e2bea6
Identifier USGS:5e1ce75ce4b0ecf25c5f0cae
Data Last Modified 20200820
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://datainventory.doi.gov/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
Harvest Object Id 46023cbf-b9ea-426d-a643-e8429aa8273e
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial 93.598022453494,34.867545979763,98.091430656435,36.491621720998
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash f8ac04eafd69e2840e1e84014cac320b55ecd9c414b792a290a167470cf4d3ba
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": 93.598022453494, 34.867545979763, 93.598022453494, 36.491621720998, 98.091430656435, 36.491621720998, 98.091430656435, 34.867545979763, 93.598022453494, 34.867545979763}

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