AndreaBozzo/ceres-open-data-index huggingface dataset:
Predictive model of burn severity (dNBR) in the Mojave Desert

This raster dataset represents spatially explicit predictions of burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.

Tags: biota, burn-severity, desert-ecosystems, disturbance, dnbr, ecosystems, field-methods, fire, fire-frequency, fire-regimes, fires, geographic-information-systems, grass-fire-cycle, heterogeneity, imagerybasemapsearthcover, invasive-species, mojave-desert, plants-organisms, predictive-models, random-forests, remote-sensing, spatial-models, usgs-62212e27d34ee0c6b38b6276, vegetation
Organization: Department of the Interior
Survival, reproduction, and weight of Neocloeon triangulifer after short and long-term exposures to nickel and zinc

Dataset consists of 4-day, 14-day, and full life responses of laboratory cultured mayflies (Neocloeon triangulifer) to nickel and zinc exposure.  Responses were measured as mortality, body weight, development time, and reproduction.  Water quality and analytical chemistry results associated with toxicity data are included.  Additional data included are results of experiments assessing proportion of dissolved metal to nominal metal as influenced by the ratio of diatom diet dry mass present per volume of water.

Tags: acute-exposure, biota, chronic-exposure, dietary-exposure, ecotoxicology, insect-development, insect-reproduction, mayfly, metals, nickel, usgs-62027b5cd34e622189dc8e09, water-chemistry, zinc
Organization: Department of the Interior
Species distribution model (SDM) for Stephanomeria parryi 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 Stephanomeria parryi 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-6201b449d34e622189dadd2a, utah
Organization: Department of the Interior
Species distribution model (SDM) for Stephanomeria exigua 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 Stephanomeria exigua 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-6201b3bcd34e622189dadbc1, utah
Organization: Department of the Interior
Species distribution model (SDM) for Salvia columbariae 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 Salvia columbariae 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-6201b22bd34e622189dad95e, utah
Organization: Department of the Interior
Species distribution model (SDM) for Psorothamnus fremontii 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 Psorothamnus fremontii 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-6201b149d34e622189dad7d9, utah
Organization: Department of the Interior
Species distribution model (SDM) for Opuntia basilaris 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 Opuntia basilaris 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-6201af06d34e622189dad42d, utah
Organization: Department of the Interior
Species distribution model (SDM) for Oenothera primiveris 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 Oenothera primiveris 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-6201ae09d34e622189dad29a, utah
Organization: Department of the Interior
Species distribution model (SDM) for Oenothera deltoides 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 Oenothera deltoides 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-6201ac9fd34e622189dad050, utah
Organization: Department of the Interior
Species distribution model (SDM) for Muhlenbergia porteri 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 Muhlenbergia porteri 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-6201a685d34e622189dac16e, utah
Organization: Department of the Interior
Species distribution model (SDM) for Mirabilis laevis 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 Mirabilis laevis 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-62019ce8d34e622189daa4fd, utah
Organization: Department of the Interior
Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Dynamic Parameters

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). Historical simulations using the Maurer forcings (Maurer and others, 2002) were conducted for the period 1950-2010. This metadata record documents the simulation output files for simulations ran using the dynamic parameters file. The output files are aggregated at the HUC4 level and are grouped and downloadable by HUC2 hydrologic region. Each zip folder contains identical information, just for a different region and set of hydrologic response units (HRUs) and stream segments. The specific zip folder contents include model unit information for the HRUs and stream segments, HRU-based output variables of daily actual evapotranspiration (hru_actet), runoff (hru_outflow), precipitation (hru_ppt), potential evapotranspiration (potet), minimum air temperature (tminf) and maximum air temperature (tmaxf), and the segment-based output variable of streamflow (seg_outflow).

Tags: inlandwaters, model, streamflow, streamflow-modeling, usgs-62014acfd34e622189da06e1
Organization: Department of the Interior
Output Data by HUC4 Sub-basin for Hydrologic Simulations of the CONUS using the NHM-PRMS, 1950-2010, Maurer Calibration, Static Parameters

This data release contains inputs for and outputs from hydrologic simulations for the conterminous United States (CONUS) using the Precipitation Runoff Modeling System (PRMS) version 5.1.0 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). Historical simulations using the Maurer forcings (Maurer and others, 2002) were conducted for the period 1950-2010. This metadata record documents the simulation output files for simulations ran using the static parameters file. The output files are aggregated at the HUC4 level and are grouped and downloadable by HUC2 hydrologic region. Each zip folder contains identical information, just for a different region and set of hydrologic response units (HRUs) and stream segments. The specific zip folder contents include model unit information for the HRUs and stream segments, HRU-based output variables of daily actual evapotranspiration (hru_actet), runoff (hru_outflow), precipitation (hru_ppt), potential evapotranspiration (potet), minimum air temperature (tminf) and maximum air temperature (tmaxf), and the segment-based output variable of streamflow (seg_outflow).

Tags: inlandwaters, model, streamflow, streamflow-modeling, usgs-62014ab3d34e622189da06b8
Organization: Department of the Interior
Extent of the Fox Hills aquifer in the Powder River and Williston structural basins

These data represent the extent of the Fox Hills aquifer in the Powder River 
and Williston structural basins.

Tags: bedrock-geology, canada, environment, geoscientificinformation, groundwater, groundwater-availability, inlandwaters, powder-river, powder-river-basin, united-states, usgs-62006b40-7623-4ece-a9b2-6973d09b4327, williston-basin, williston-river
Organization: Department of the Interior
Color Shaded-Relief GeoTIFF Image Showing the 2-m Bathymetry Generated from National Oceanic and Atmospheric Administration (NOAA) Survey H11251 Offshore of Rocky Point, New York (H11251_2MMB_UTM18.TIF, UTM Zone 18, NAD83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetry and sidescan-sonar imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities in Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. During October 2008 NOAA completed hydrographic survey H11251 offshore of Rocky Point, New York and during November 2009, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretive data layers were derived from the multibeam echo-sounder and sidescan-sonar data and the ground-truth data used to verify them. For more information on the ground-truth survey see http://quashnet.er.usgs.gov/data/2009/09059/

Tags: atlantic-ocean, bathymetry, cmgp, coastal-and-marine-geology-program, computational-methods, connecticut-department-of-environmental-protection, ct-dep, elevation, geospatial-datasets, geotiff, h11251, hill-shaded, imagerybasemapsearthcover, long-island, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-ship-thomas-jefferson, noaa-survey-h11251, north-america, oceans, ofr-2010-1007, open-file-report-2010-1007, reson-7125, reson-8101, reson-8125, rocky-point, sea-floor-characteristics, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-61fe3d1c-d55c-4945-83ac-3976e2a50d49, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
MT across the Southern San Andreas Fault Zone California: Station mvx033

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 mvx033. 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-61fdd1d1d34e622189cff601
Organization: Department of the Interior
Winter Ranges of Elk in the West Goose Lake Herd in California

The winter range of the West Goose Lake Rocky Mountain elk (Cervus canadensis nelsoni) sub-herd is located north of Alturas and west of Highway 395 within the Devil’s Garden Ranger District of the Modoc National Forest. This area is characterized by juniper (Juniperus occidentalis) woodlands, and sagebrush flats with some stands of lodgepole (Pinus contorta) and ponderosa pine (Pinus ponderosa) throughout flat, rocky terrain. From this area, a portion of the herd migrates approximately 50 miles north into Oregon’s Fremont National Forest, habitat that primarily consists of lodgepole and ponderosa pine forests. Minimal barriers exist along this migration route since the corridor primarily occurs on land managed by the US Forest Service. Additionally, although the core migration route does cross Highway 140, little to no impacts are known to exist from this crossing.
These data provide the location of winter ranges for elk in the West Goose Lake population in California and Oregon. They were developed from 17 winter sequences collected from a sample size of 11 animals comprising GPS locations collected every 4-8 hours.

Tags: animal-behavior, california, economy, environment, migration, migration-organisms, migratory-species, modoc, oregon, united-states, usgs-620e4a97d34e6c7e83baa354
Organization: Department of the Interior