This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

The Green Mountain Anticlinorium in the Vicinity of Wilmington and Woodford, Vermont

Metadata Updated: April 10, 2015

This resource is available as a downloadable file, ESRI Service, and as a Web Feature service. Resource includes a Bedrock map, Structure map, Cross Section image, and a text on the Bedrock geology for the Vicinity of Wilmington and Woodford, Vermont. For more information see links provided. Abstract: The Wilmington-Woodford area of southernmost Vermont comprises 385 square miles of metamorphosed pre-Cambrian and Lower Paleozoic strata. The area lies across the Green Mountain Anticlinorium although the greater part of it is east of the axis of this major fold. The Green Mountains represent the eroded remnant of the anticlinorium which is overturned and locally overthrust to the west.

Access & Use Information

Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

Downloads & Resources

Dates

Metadata Date 2012-08-28T22:11:58Z
Metadata Created Date March 16, 2013
Metadata Updated Date April 10, 2015
Reference Date(s) July 6, 1961 (publication)
Frequency Of Update

Metadata Source

Harvested from AASG geothermal data CSW

Additional Metadata

Resource Type Dataset
Metadata Date 2012-08-28T22:11:58Z
Metadata Created Date March 16, 2013
Metadata Updated Date April 10, 2015
Reference Date(s) July 6, 1961 (publication)
Responsible Party Arizona Geological Survey (Point of Contact)
Contact Email
Access Constraints
Bbox East Long -72.75
Bbox North Lat 43
Bbox South Lat 42.75
Bbox West Long -73.167
Coupled Resource
Frequency Of Update
Guid ba2f0b9d21f71acfe10609f76e1093fc
Harvest Object Id 152489b6-0261-4253-b3f4-260fa426ed18
Harvest Source Id f800beb8-4923-4e88-910f-1c6cf0078598
Harvest Source Title AASG geothermal data CSW
Licence
Metadata Language
Metadata Type geospatial
Spatial Data Service Type
Spatial Reference System

Didn't find what you're looking for? Suggest a dataset here.