AndreaBozzo/ceres-open-data-index huggingface dataset:
MT across the Southern San Andreas Fault Zone California: Station mvx032

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx032. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdd09bd34e622189cff1ec
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx031

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx031. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdcf68d34e622189cfee60
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx029

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx029. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdcd40d34e622189cfe812
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx027

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx027. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdcc25d34e622189cfe52a
Organization: Department of the Interior
Winter Ranges of Mule Deer in the Upper San Joaquin Watershed Herd in California

Migratory mule deer (Odocoileus hemionus) within the San Joaquin Watershed occupy most of the watershed above Kerckhoff Reservoir, Fresno and Madera Counties, California. Human infrastructure in the watershed is widespread and includes residential, water control, hydroelectric power, and recreational use developments. Steep topography between winter and summer range limit crossing points along the San Joaquin River. Habitat conditions favoring deer declined from a peak around 1950, resulting in a reduction in the deer population. The current deer population is believed to be about 4,000. A massive wildfire burned through most of the watershed in 2020, dramatically changing habitat conditions in some areas.
These data provide the location of winter ranges for mule deer in the Upper San Joaquin Watershed population in California. They were developed from 44 winter sequences collected from a sample size of 32 animals comprising GPS locations collected every 2-12 hours.

Tags: animal-behavior, california, economy, environment, migration, migration-organisms, migratory-species, san-joaquin, united-states, usgs-620e4a63d34e6c7e83baa330
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx026

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx026. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdcb0ed34e622189cfe218
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx025

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx025. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdca0dd34e622189cfde71
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx024

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx024. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdc924d34e622189cfdba2
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx023

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx023. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdc7fdd34e622189cfd83e
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx022

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University of California San Diego in partnership with U.S. Geological Survey and funded in large part by the Southern California Earthquake Center (SCEC).  The MT data were collected using Zonge International 32-bit ZEN data loggers with ANT-4 magnetic induction coils and Borin Ag-AgCl electrodes with 50 m dipoles. The ZEN was programmed to record continuously for ~8 hours at 256 samples per second with 10-minute burst sampling at 4096 samples per second in between for a total recording time of about 20 hours per site.  Transfer functions were estimated using the robust remote reference code EMTF (Egbert, 1997; DOI: https://doi.org/10.1111/j.1365-246X.1997.tb05663.x). The data included here are for MT station mvx022. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P990U7GE of data release.

Tags: apparent-resistivity, california, cenozoic, coachella-county, coachella-valley, conductivity, electromagnetic-surveying, exploration, geologic-structure, geophysics, geoscientificinformation, holocene, impedance, indio-hills, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mt, phase, sky-valley, southern-san-andreas-fault-system, tectonics, thousand-palms, time-series, tipper, usgs-61fdc6ded34e622189cfd5a3
Organization: Department of the Interior
EcoSheds Summarized 2019 National Land Cover Database 2001-2019 for Hydro Region 2

Summarization of US Geological Survey 2019 National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013, 2016, and 2019 Land Cover datasets with the Spatial Hydro-Ecological Decision System (SHEDS) framework.  These NLCD data were summarized using the local and upstream total accumulation methods within SHEDS for SHEDS Region 2. The output includes both square meter output and percent coverage output.

Tags: connecticut, delaware, digital-spatial-data, ecology, gis, hydrology, land-cover, limnology, maryland, massachusetts, new-jersey, new-york, pennsylvania, u-s-geological-survey-usgs, usgs-6228cd9cd34ee0c6b38b87c0, usgs-ecosystems-mission-area, vermont, virginia, west-virginia
Organization: Department of the Interior
Structure-from-Motion model for the Curtis Lake North area, Mushroom Rock region, northeastern California

This dataset contains a point cloud and corresponding orthophoto of the bedrock cliff exposure at the Curtis Lake North area, California, USA

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-6226922fd34ee0c6b38b7b4a, volcanic-rocks
Organization: Department of the Interior
Structure-from-Motion model for the Red Mountain area, Mushroom Rock region, northeastern California

This dataset contains a point cloud and corresponding orthophoto of the bedrock cliff exposure at Red Mountain, California, USA

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-62268e0cd34ee0c6b38b7b3e, volcanic-rocks
Organization: Department of the Interior
Regional Water Table (2018) in the Mojave River and Morongo Areas, Southwestern Mojave Desert, California

Data for groundwater-levels measured in 707 wells during January-July 2018 by the United States Geological Survey (USGS), the Mojave Water Agency (MWA), and other local water districts were compiled to construct a regional water-table shapefile for 2018. The regional water-table shapefile shows the elevation of the water table in and around the Mojave River and Morongo areas, in San Bernardino County, California.

Tags: barstow, california, coyote-lake, environment, groundwater, groundwater-level, hydrology, joshua-tree-north, joshua-tree-south, mojave, morongo-valley, southern-mojave, twentynine-palms, usgs-6202e10cd34e622189dce786, yucca-valley-north
Organization: Department of the Interior
Interpolated casewise variable importance grids for upper Missouri Probability of Streamflow Permanence model covariates

Collection of raster data representing the relative importance of the explanatory variables used in the upper Missouri River Probability of Streamflow Permanence (PROSPERum) model. The rasters were generated using random forest models calibrated with streamflow permanence observations (wet or dry) as the response variable and hydroclimatic and physiographic data as explanatory variables.

Tags: inlandwaters, intermittent-streams, machine-learning, missouri-river-basin, montana, north-dakota, perennial-streams, south-dakota, streamflow-permanence, usgs-61fd9becd34e622189cf75fc, variable-importance, wyoming
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): The Farm Process

This digital dataset contains information about the farm process parameter values are used as input to the updated Central Valley Hydrologic Model (CVHM2), which consists of 24 land use types and the corresponding monthly crop coefficient for each land use type. Land use types, initial rooting depths, and initial crop coefficients were modified from Faunt and Others (2009).

Tags: california, central-valley, crop-coefficients, environment, land-use, united-states, usgs-61fc83f1d34e622189cc04e8
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Municipal Pumping

This digital dataset contains the municipal pumping dataset used to develop the Multi Node Well (MNW2) Package in the updated Central Valley Hydrologic Model (CVHM2).  It includes well locations, well properties, and pumping rates for Municipal Pumping.

Tags: california, central-valley, environment, groundwater, groundwater-pumping, municipal-pumping, united-states, usgs-61fc8364d34e622189cc03ef
Organization: Department of the Interior
Central Valley Hydrologic Model version 2 (CVHM2): Virtual Farm Wells

This digital dataset contains the location and timing of the virtual farm wells for the updated Central Valley Hydrologic Model (CVHM2). Farm wells are simulated as virtual wells and the screen lengths based on those calculated for the original Central Valley Hydrologic Model (CVHM; Faunt and others, 2009). Farm wells are all simulated as multi-node wells (MNW), which allows for a more realistic distribution of pumping by demand for each water balance subregion. Agricultural Pumping are estimated in CVHM2 by the farm process, and thus are not included in the virtual farm well child item.

Tags: california, central-valley, environment, groundwater, united-states, usgs-61fc834bd34e622189cc03b7
Organization: Department of the Interior
Simplified fault traces in the Pit River region, northeastern California

This dataset contains simplified fault traces, derived from the lineament mapping, for the Pit River region, northeastern California.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-62268c72d34ee0c6b38b7b39, volcanic-rocks
Organization: Department of the Interior
Low-temperature thermochronology ages from the Mushroom Rock region, northeastern California

This dataset contains low-temperature thermochronology ages from the Mushroom Rock region, northeastern California, and these data are in Table 4 in the related manuscript.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-62268861d34ee0c6b38b7b27, volcanic-rocks
Organization: Department of the Interior
40Ar/39Ar ages from the Mushroom Rock region, northeastern California

This dataset contains 40Ar/39Ar ages from the Mushroom Rock region, northeastern California, and can be found in Table 3 in the related manuscript.

Tags: burney, california, geologic-faulting, geospatial-datasets, mccloud, miocene, pleistocene, pliocene, quaternary, shasta-county, siskiyou-county, structure-from-motion, usgs-62268411d34ee0c6b38b7b20, volcanic-rocks
Organization: Department of the Interior