Landform Evolution in the Dry Valleys and its implications for Miocene-Pliocene Climate Change in Antarctica


Dataset Identification:

Resource Abstract:
Abstract: This project seeks to answer a simple question: how old are potholes and related geomorphic features found in the uplands of the McMurdo Dry Valleys, Antarctica? Some research suggests that they are over ten million years old and date the growth of the East Antarctic Ice Sheet, the world's largest. However, some evidence suggests that these are young, erosional features that continuing to evolve to this day. This project uses cosmogenic nuclide dating to determine the age of the pothole floors. The results are important for determining the ice sheet?s history and interpreting the O-isotope record from the marine sediment cores, key records of global climate. Broader impacts include K12 outreach and incorporation of outcomes into university courses.
Citation
Title  Landform Evolution in the Dry Valleys and its implications for Miocene-Pliocene Climate Change in Antarctica
publication date 2009
cited responsible party - author
individual Name  Mukhopadhyay, Sujoy
organisation Name  Harvard University, Cambridge, MA, 02138, US
Contact information
Postal Address:
electronic Mail Address: sujoy@eps.harvard.edu
cited responsible party - publisher
organisation Name  U.S. Antarctic Program (USAP) Data Center
No contact information provided.
Topic Category:   geoscientificInformation
Keywords:
Resource language:   eng
Resource progress code:   Complete
Constraints on resource usage:
Constraints
Use limitation statement:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0]
Constraints on resource usage:
Legal Constraints
Access Constraints   license
Other constraints
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0]
Constraints on resource usage:
Security Constraints
Classification  unclassified
Resource extent
Extent description
Dry Valleys
Geographic Extent
Geographic Bounding Box
westBoundLongitude  161
eastBoundLongitude  163
northBoundLatitude  -76
southBoundLatitude  -78
Resource extent
Temporal Extent
2008-06-01 2009-05-31
Credits:
funderName:NSF:GEO:PLR:Antarctic Earth Sciences awardNumber:0739452 awardTitle:Landform Evolution in the Dry Valleys and its implications for Miocene-Pliocene Climate Change in Antarctica
point of contact - pointOfContact
individual Name  Mukhopadhyay, Sujoy
organisation Name  Harvard University, Cambridge, MA, 02138, US
No contact information provided.
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Resource distribution information

Digital Transfer Options
Linkage for online resource
name  Landing Page
URL: http://dx.doi.org/10.15784/600074
protocol  WWW:LINK-1.0-http--link
link function  information
Description  Link to DOI landing page or data facility landing page if no DOI is assigned.
Linkage for online resource
name  landing page
URL: http://www.usap-dc.org/view/dataset/600074
protocol  WWW:LINK-1.0-http--link
link function  information
Description  Link to a web page related to the resource.
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Metadata Information

Metadata data stamp:  2018-05-17
Resource Maintenance Information
maintenance or update frequency:
notes:  This metadata record was generated by an xslt transformation from a DataCite metadata record; The transform was created by Damian Ulbricht and Stephen M. Richard. 2017-11-15 these records include new IEDA keywords for geoportal facets Run on 2018-06-21T19:05:24-07:00
Metadata contact - pointOfContact
organisation Name  Interdisciplinary Earth Data Alliance
Contact information
Postal Address:
electronic Mail Address: web@usap-dc.org
Linkage for online resource
URL: http://www.usap-dc.org/static/imgs/header/usaplogo.png
link function  browseGraphic
Metadata scope code  dataset
Metadata hierarchy level name:  Dataset
Metadata language   eng
Metadata character set encoding:   utf8
Metadata standard for this record:  ISO 19139 Geographic Information - Metadata - Implementation Specification
standard version:  2007
Metadata record identifier:  urn:ieda:metadataabout:10.15784-600074
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Metadata record format is ISO19139 XML (MD_Metadata)