Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona
This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project fun...
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ftdatacite:10.5066/p91599d6 2023-05-15T15:25:46+02:00 Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona Rodriguez, Brian D Brown II, Philip J Reitman, James 2020 https://dx.doi.org/10.5066/p91599d6 https://www.sciencebase.gov/catalog/item/5e19164de4b0ecf25c5bf60a unknown U.S. Geological Survey Geophysics, Mineral Resources Dataset dataset 2020 ftdatacite https://doi.org/10.5066/p91599d6 2022-02-09T12:40:10Z This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service. The USGS used AMT data at six sites along a southwest-northeast profile of about 10 kilometers (km) across the northwest-trending Sunnyside porphyry copper system. Dataset Assessment Techniques for Concealed Mineral Resources DataCite Metadata Store (German National Library of Science and Technology) Patagonia Sunnyside ENVELOPE(-54.615,-54.615,49.633,49.633) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Geophysics, Mineral Resources |
spellingShingle |
Geophysics, Mineral Resources Rodriguez, Brian D Brown II, Philip J Reitman, James Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
topic_facet |
Geophysics, Mineral Resources |
description |
This dataset includes audiomagnetotelluric (AMT) sounding data collected in 2008 in and near the Patagonia Mountains of southern Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service. The USGS used AMT data at six sites along a southwest-northeast profile of about 10 kilometers (km) across the northwest-trending Sunnyside porphyry copper system. |
format |
Dataset |
author |
Rodriguez, Brian D Brown II, Philip J Reitman, James |
author_facet |
Rodriguez, Brian D Brown II, Philip J Reitman, James |
author_sort |
Rodriguez, Brian D |
title |
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
title_short |
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
title_full |
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
title_fullStr |
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
title_full_unstemmed |
Audiomagnetotelluric survey to characterize the Sunnyside porphyry copper system in the Patagonia Mountains, Arizona |
title_sort |
audiomagnetotelluric survey to characterize the sunnyside porphyry copper system in the patagonia mountains, arizona |
publisher |
U.S. Geological Survey |
publishDate |
2020 |
url |
https://dx.doi.org/10.5066/p91599d6 https://www.sciencebase.gov/catalog/item/5e19164de4b0ecf25c5bf60a |
long_lat |
ENVELOPE(-54.615,-54.615,49.633,49.633) |
geographic |
Patagonia Sunnyside |
geographic_facet |
Patagonia Sunnyside |
genre |
Assessment Techniques for Concealed Mineral Resources |
genre_facet |
Assessment Techniques for Concealed Mineral Resources |
op_doi |
https://doi.org/10.5066/p91599d6 |
_version_ |
1766356313641582592 |