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Federal
Aqueous and solid phase geochemistry of water and mineral precipitates from draining adits in California and Colorado
Department of the Interior —
This dataset is a compilation of samples collected from draining mine adits, including water and mineral precipitates, from several mines in California and Colorado.... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm045
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,... -
Federal
Magnetotelluric data from Mountain Pass, CA, 2015, station mp208
Department of the Interior —
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a... -
Federal
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station pen101
Department of the Interior —
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan.... -
Federal
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station nmn918
Department of the Interior —
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan.... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station rfr410
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,... -
Federal
Magnetotelluric data from Mountain Pass, CA, 2015, station mp333
Department of the Interior —
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a... -
Federal
Magnetotelluric data from Mountain Pass, CA, 2015, station mp305
Department of the Interior —
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a... -
Federal
Magnetotelluric data from San Pablo Bay, California, station sp01
Department of the Interior —
This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station mrv010
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,... -
Federal
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr316
Department of the Interior —
This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey... -
Federal
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station wup118
Department of the Interior —
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan.... -
Federal
Magnetotelluric data from Mountain Pass, CA, 2015, station mp365
Department of the Interior —
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a... -
Federal
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr518
Department of the Interior —
This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm032
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm033
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,... -
Federal
Reflectance spectra collected August 16, 2022, at Smith Creek Valley, Nevada, with an ASD FieldSpecⓇ 4 Hi-Res NG spectrometer for calibration/validation of imaging spectrometer data.
Department of the Interior —
A full description of all collection and processing steps is included in this data release as: ‘SmithCreekPlayaNV_16aug2022_ProcessingSteps.pdf’. Reflectance data... -
Federal
Magnetotelluric data from Minnesota, Wisconsin, and Upper Michigan, 2015-2019, station pen126
Department of the Interior —
This dataset consists of 176 wideband magnetotelluric (MT) stations collected from 2015-2019 across parts of Minnesota, Wisconsin and the Upper Peninsula of Michigan.... -
Federal
Reflectance spectra collected August 21, 2022, at Black Rock Desert, Nevada, with an ASD FieldSpecⓇ 4 Hi-Res NG spectroradiometer for calibration/validation of imaging spectrometer data
Department of the Interior —
Reflectance data were collected using Malvern Panalytical ASD FieldSpec® 4 Hi-Res NG Spectroradiometers with custom VNIR gratings (hereafter referred to as ASD... -
Federal
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station rfr315
Department of the Interior —
This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee,...