AndreaBozzo/ceres-open-data-index huggingface dataset:
MT across the Southern San Andreas Fault Zone California: Station mvx013

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 mvx013. 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-61fdbc85d34e622189cfbc7d
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx012

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 mvx012. 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-61fdbb85d34e622189cfb9da
Organization: Department of the Interior
Fire Regimes in the Mojave Desert (1972-2010)

This U.S. Geological Survey data release consists of 3 raster datasets representing estimates of probability of ignition (ProbIgnitPredict.tif), fire frequency (FrequencyPredictRF.tif), and burn severity (dNBRPredictRF.tif) in the Mojave Desert from 1984 to 2010. The data include: (1) A shapefile of the Mojave Desert that was used as our study area boundary (MojaveEcoregion_TNS_UTM83.shp). The original shapefile was obtained from NatureServe in 2009; (2) Three Tagged-Interchange Format (TIF) raster datasets representing probability of ignition, fire frequency, and burn severity. Resolution equals 30 meters, projection equals UTM Zone 11N.

Tags: biota, burn-severity, co-occurence-invasives, desert-ecosystems, ecosystems, environmental-gradients, field-methods, fire-disturbance, fire-frequency, fires, geographic-gradients, geographic-information-systems, grass-fire-cycle, ignition, imagerybasemapsearthcover, invasive-plant-species, invasive-species, machine-learning, maximum-entropy, plants-organisms, random-forests, remote-sensing, spatial-dynamics, usgs-62212a30d34ee0c6b38b6257, vegetation
Organization: Department of the Interior
Calculated streamflow metrics for machine learning regionalization across the conterminous United States, 1950 to 2018

This metadata record describes 99 streamflow (referred to as flow) metrics calculated using the observed flow records at 1851 streamflow gauges across the conterminous United States from 1950 to 2018. Calculation of these metrics are often used as dependent variables in statistical models to make predictions of these flow metrics at ungaged locations. Specifically, this record describes (1) the U.S. Geological Survey streamgauge identification number, (2) the 1-, 7-, and 30-day consecutive minimum flow normalized by drainage area, DA (Q1/DA, Q7/DA, and Q30/DA [cfs/sq km]), (3) the 1st, 10th, 25th, 50th, 75th, 90th, and 99th nonexceedence flows normalized by DA (P01/DA, P10/DA, P25/DA, P50/DA, P75/DA, P90/DA, P99/DA [cfs/sq km]), (4) the annual mean flows normalized by DA (Mean/DA [cfs/sq km]), (5) the coefficient of variation of the annual minimums and maximum flows (Vmin and Vmax [dimensionless]), the average annual duration of flow pulses less than P10 and greater than P90 (Dl and Dh [number of days]), (6) the average annual number of flow pulses less than P10 and greater than P90 (Fl and Fh [number of events]), (7) the average annual skew of daily flows (Skew [dimensionless]), (8) the number of days where flow greater than the previous day divided by the total number of days (daily rises [dimensionless]), (9) the low- and high-flow timing metrics for winter, spring, summer, and fall (Winter_Tl, Spring_Tl, Summer_Tl, Fall_Tl, Winter_Th, Spring_Th, Summer_Th, and Fall_Th [dimensionless]), (10) the monthly nonexceedence flows normalized by DA (JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG, SEP, OCT, NOV, and DEC P'X'/DA where the 'X'=10, 20, 50, 80, and 90 [cfs/sq km]), and (11) monthly mean flow normalized by DA (JAN, FEB, MAR, APR, MAY, JUN, JUL, AUG, SEP, OCT, NOV, and DEC mean/DA [cfs/sq km]). For more details for flow metrics related to (2) through (8) and (11), please see Eng, K., Grantham, T.E., Carlisle, D.M., and Wolock, D.M., 2017, Predictability and selection of hydrologic metrics in riverine ecohydrology: Freshwater Science, v. 36(4), p. 915-926 [Also available at https://doi.org/10.1086/694912]. For more details on (9), please see Eng, K., Carlisle, D.M., Grantham, T.E., Wolock, D.M., and Eng, R.L., 2019, Severity and extent of alterations to natural streamflow regimes based on hydrologic metrics in the conterminous United States, 1980-2014: U.S. Geological Survey Scientific Investigations Report 2019-5001, 25 p. [Also available at https://doi.org/10.3133/sir20195001]. For (10), all daily flow values for the month of interest across all years are ranked in descending order, and the flow values associated with 10, 20, 50, 80, and 90 percent of all flow values are assigned as the monthly percent values. The data are in a tab-delimited text format.

Tags: streamflow, usgs-620bdba2d34ec05caca61416
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx011

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 mvx011. 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-61fdbaa1d34e622189cfb760
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx009

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 mvx009. 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-61fdb99bd34e622189cfb504
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx008

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 mvx008. 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-61fdb89cd34e622189cfb2c4
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx006

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 mvx006. 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-61fdb7c4d34e622189cfafe8
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx003

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 mvx003. 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-61fdb6f3d34e622189cfad42
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx001

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 mvx001. 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-61fdb5f0d34e622189cfa9ef
Organization: Department of the Interior
Species distribution model (SDM) for Malacothrix glabrata in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Malacothrix glabrata within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-61fdb339d34e622189cfa1f3, utah
Organization: Department of the Interior
Species distribution model (SDM) for Lycium pallidum in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Lycium pallidum within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-61fdb271d34e622189cf9fb6, utah
Organization: Department of the Interior
Species distribution model (SDM) for Lycium cooperi in the Mojave Desert

Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information on species attributes, SDMs facilitate holistic ecosystem restoration by enabling practitioners to identify diverse, resilient assemblages of native species. This project develops SDMs for native species of fundamental ecosystem importance in order to guide restoration of Mojave Desert landscapes. The dataset contained herein provides an SDM for Lycium cooperi within its Mojave Desert range based on known occurrences.

Tags: arizona, biogeography, biota, california, habitats, maps-and-atlases, mojave, native-plant-materials-development, native-species, nevada, species-distribution-model, usgs-61fda637d34e622189cf8441, utah
Organization: Department of the Interior
Daily Estimates of Chlorophyll Concentration for 82 U.S. rivers: 2. Model Inputs and Outputs

This child item dataset includes inputs to and outputs from an extreme gradient boosting model (XGBoost) to predict daily chlorophyll concentrations. Included in this dataset are the necessary model inputs, observed chlorophyll concentrations, and SHapley Additive exPlanations (SHAP) values. SHAP values were used to assess the contribution of each variable to estimated chlorophyll.

Tags: chlorophyll, inlandwaters, rivers, streams, usgs-61fd7b2ed34e622189cf27ed
Organization: Department of the Interior
Daily Estimates of Chlorophyll Concentration for 82 U.S. Rivers: 1. Site Information

This child item dataset provides site information for 82 streams and rivers from which data was used to train and test a machine learning model of daily chlorophyll concentrations.
This dataset is part of a larger data release that contains model inputs, observed chlorophyll concentrations, model estimates of chlorophyll, and contributions of individual variables to modeled predictions.

Tags: chlorophyll, inlandwaters, rivers, streams, usgs-61fd7650d34e622189cef5cc
Organization: Department of the Interior