AndreaBozzo/ceres-open-data-index huggingface dataset:
th_swfi_bif_ruf

The restricted use files for the surveys conducted for the Evaluation of the TechHire and Strengthening Working Families Initiative Grant Programs. The restricted use files do not include personally identifiable information (PII), such as respondent name and contact information. The restricted use file also does not include information that may pose a disclosure risk, such as employer name and other open-text answers. The restricted use files are intended to be used only by DOL.

Tags: ceo, oasp
Organization: Department of Labor
th_swfi_prtn_surv_ruf

The restricted use files for the surveys conducted for the Evaluation of the TechHire and Strengthening Working Families Initiative Grant Programs. The restricted use files do not include personally identifiable information (PII), such as respondent name and contact information. The restricted use file also does not include information that may pose a disclosure risk, such as employer name and other open-text answers. The restricted use files are intended to be used only by DOL.

Tags: ceo, oasp
Organization: Department of Labor
th_swfi_grnt_surv_ruf

The restricted use files for the surveys conducted for the Evaluation of the TechHire and Strengthening Working Families Initiative Grant Programs. The restricted use files do not include personally identifiable information (PII), such as respondent name and contact information. The restricted use file also does not include information that may pose a disclosure risk, such as employer name and other open-text answers. The restricted use files are intended to be used only by DOL.

Tags: ceo, oasp
Organization: Department of Labor
Tracking Data for Surf Scoters (Melanitta perspicillata)

This data release includes 2 child items with tracking data for Surf Scoters, a seaduck species that breeds throughout higher latitudes of Alaska and Canada and winters along coastal areas of North America.
      Child Item 1: "Argos Satellite Tracking Data for Surf Scoters (Melanitta perspicillata) - Processed Data" -- Quality-controlled data collected from Argos satellite transmitters.
      Child Item 2: "Argos Satellite Tracking Data for Surf Scoters (Melanitta perspicillata) - Raw Data" -- All raw data collected from Argos satellite transmitters, provided for completeness of the archive. The quality-controlled, "Argos Processed Data" (Child Item 1) are better suited for most analytical purposes.

Tags: alaska, animal-tracking, animals-vertebrates, argos, auke-bay, bahia-san-quintin, baja-california, biota, birds, breeding-area, breeding-sites, distribution, ducks-geese-swans, ecological-dynamics, environment, field-methods, field-sampling, gastineau-channel, juneau, melanitta-perspicillata, mexico, migration, migration-organisms, migration-pathway, migratory-birds, migratory-strategies, ornithology, outer-point, overwintering, pacific-americas-flyway, platform-transmitter-terminal, point-louisa, ptt, satellite-transmitter, seasonal-distribution, seasonal-movement, species-life-history, species-migration, surf-scoter, telemetry, tracking-equipment, usgs-5e78fa06e4b01d509270e4e2, wildlife, wintering-area
Organization: Department of the Interior
etjraf_final

This restricted-use data file presents early results from the Enhanced Transitional Jobs Demonstration (ETJD), which is using a rigorous random assignment research design to evaluate seven transitional jobs programs that targeted either individuals who had recently been released from prison, or parents who did not have custody of their children (“noncustodial” parents), who owed child support, and who were unable to meet their obligations because they were unemployed.

Tags: ceo, oasp
Organization: Department of Labor
Donated AUV Chirp seismic-reflection data collected during Monterey Bay Aquarium Research Institute (MBARI) cruise in April 2018 offshore of south-central California

This dataset consists of autonomous underwater vehicle (AUV) Chirp seismic-reflection data collected in April 2018 aboard the R/V Rachel Carson, which is owned and operated by the Monterey Bay Aquarium Research Institute (MBARI). During the cruise, data were collected across eight AUV dives, six of which collected coincident bathymetry and Chirp seismic-reflection data (two dives collected Chirp seismic-reflection data only). The collection of these data was funded entirely by MBARI, and the data have been donated to the U.S. Geological Survey (USGS). The data were collected in collaboration with the USGS and the Bureau of Ocean Energy Management (BOEM) and they are located in the same study area as the collaborative California Deepwater Investigations and Groundtruthing I (Cal DIG I) project. The purpose of the overall Cal DIG I study is to assess shallow geohazards, benthic habitats, and thereby the potential for alternative energy infrastructure (namely floating wind turbines) offshore south-central California due to the study area's proximity to power grid infrastructure associated with the Morro Bay power plant. The AUV data in this portion of the data release provide ultra-high-resolution subsurface imaging of eight different patches of seafloor offshore of the south-central California coast. The AUV mapping navigation has not been accurately positioned and is considered as only partially processed.

Tags: acoustic-methods, auv-chirp, cmhrp, coastal-and-marine-hazards-and-resources-program, diablo-canyon, distributions, edgetech-2205-1-6-khz, elevation, geoscientificinformation, geospatial-datasets, marine-geophysics, mbari, monterey-bay-aquarium-research-institute, morro-bay, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, santa-barbara-basin, santa-lucia-bank, santa-maria-basin, sea-floor-characteristics, state-of-california, sub-bottom-profiling, sub-reflection-profiling, substrate, u-s-geological-survey, usgs, usgs-5e78d619-1942-4fb3-895c-06ab6942ccc8
Organization: Department of the Interior
adra_wiasrd_exits2009_with_acs

Results from the study are summarized in Maxwell et al. (2012) and were based on data collected from five public sources: WIA Standardized Records Data (WIASRD) public-use files, American Community Survey (ACS) summary data, 2000 U.S. Census data, A Census-to-LWIA geographic crosswalk, and A set of annual LWIA geographic definition files

Tags: ceo, oasp
Organization: Department of Labor
adra_wiasrd_exits2007_with_acs

Results from the study are summarized in Maxwell et al. (2012) and were based on data collected from five public sources: WIA Standardized Records Data (WIASRD) public-use files, American Community Survey (ACS) summary data, 2000 U.S. Census data, A Census-to-LWIA geographic crosswalk, and A set of annual LWIA geographic definition files

Tags: ceo, oasp
Organization: Department of Labor
Groundwater data, predictor variables, and rasters used for predicting redox conditions in the glacial aquifer, northern continental United States

This data release contains input data used in model development and TIF raster files used to predict the probability of low dissolved oxygen (DO) and high dissolved iron (Fe) in groundwater within the glacial aquifer system in the northern continental United States. Input data include measured DO and Fe concentrations at groundwater wells, and associated predictor variable data. The probability of low DO and high Fe was predicted using boosted regression tree methods using the gbm package in R (v. 4.0.0) in RStudio (v. 1.2.5042). The response variables for individual models were the occurrence of: (1) DO ≤0.5 mg/L, (2) DO ≤2 mg/L, and (3) Fe &gt;100 µg/L. Water-quality data were compiled from three sources, as described in Wilson and others (2019): a compilation of data from numerous agencies and organizations at the state, regional, and local level; the U.S. Geological Survey National Water Information System; and the U.S. Environmental Protection Agency Safe Drinking Water Information System. The resultant datasets consisted of 9,398 DO and 17,422 Fe measurements across the study area. A total of 108 predictor variables were originally considered for model development which included well characteristics, soil properties, aquifer properties, predicted nitrate, hydrologic position on the landscape, and groundwater age. After model refinement, a total of 86, 94, and 40 predictor variables were used for predicting the probability of low DO (0.5 and 2 mg/L) and high Fe, respectively.

Tags: aquifer-system, connecticut, drinking-water-use, glacial-aquifer-system, groundwater, hydrogeology, idaho, illinois, indiana, iowa, iron, kansas, maine, massachusetts, michigan, minnesota, missouri, montana, nawqa, nebraska, new-hampshire, new-jersey, new-york, north-dakota, ohio, oxygen-content-water, pennsylvania, rhode-island, south-dakota, usgs-5e78a676e4b01d509270e443, vermont, washington, water-quality, wisconsin
Organization: Department of the Interior
th_swfi_grnt_surv_id_crosswalk

The restricted use files for the surveys conducted for the Evaluation of the TechHire and Strengthening Working Families Initiative Grant Programs. The restricted use files do not include personally identifiable information (PII), such as respondent name and contact information. The restricted use file also does not include information that may pose a disclosure risk, such as employer name and other open-text answers. The restricted use files are intended to be used only by DOL.

Tags: ceo, oasp
Organization: Department of Labor
adra2_nfjp_pudf

Data collected and used for the Administrative Data Research and Analysis (ADRA2) study focused on customers enrolled in four programs that are part of the national workforce investment system: the Employment Service (ES) and three Workforce Investment Act (WIA) programs—the Adult Program, the National Farmworker Jobs Program (NFJP), and the Indian and Native American Program (INAP). The study produced four public use data files, each of which contains individual-level information on customers who left one of the four workforce investment programs in calendar year 2011.

Tags: ceo, oasp
Organization: Department of Labor
adra2_es_pudf

Data collected and used for the Administrative Data Research and Analysis (ADRA2) study focused on customers enrolled in four programs that are part of the national workforce investment system: the Employment Service (ES) and three Workforce Investment Act (WIA) programs—the Adult Program, the National Farmworker Jobs Program (NFJP), and the Indian and Native American Program (INAP). The study produced four public use data files, each of which contains individual-level information on customers who left one of the four workforce investment programs in calendar year 2011.

Tags: ceo, oasp
Organization: Department of Labor
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates

Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-habitat, thermal-profiles, united-states, us, usgs-5e774355e4b01d509270e2a1, water, water-resources
Organization: Department of the Interior
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 6 model evaluation

Water temperature estimates from multiple models were evaluated by comparing predictions to observed water temperatures. The performance metric of root-mean square error (in degrees C) is calculated for each lake and each model type, and matched values for predicted and observed temperatures are also included to support more specific error estimation methods (for example, calculating error in a particular month). Errors for the process-based model are compared to predictions as shared in &lt;a href="https://www.sciencebase.gov/catalog/item/5e5d0bb9e4b01d50924f2b36"&gt;Model Predictions&lt;/a&gt; data since these models were not calibrated. Errors for the process-guided deep learning models were calculated from validation folds and therefore differ from the comparisons to &lt;a href="https://www.sciencebase.gov/catalog/item/5e5d0bb9e4b01d50924f2b36"&gt;Model Predictions&lt;/a&gt; because those final models were trained on all available data.

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5e774324e4b01d509270e29f, water, water-resources
Organization: Department of the Interior
Ground conductivity measurements at selected National Wildlife Refuges: Norman Lake, North Dakota, 2018

Shallow subsurface electrical conductivity was mapped at Norman Lake National Wildlife Refuge (NWR) in northwest North Dakota using the DUALEM421 electromagnetic sensor (Dualem, Inc., ON, Canada) in the winter of 2018. Data were acquired by towing the DUALEM421 sensor on a sled behind an all-terrain vehicle or snow machine, with the sensor at a nominal height of 0.3 meters (m) above ground surface. Approximately 41 line-kilometers (km) of data were acquired over an area of approximately 2 square-kilometers. At this survey location, the 4m transmitter-receiver horizontal co-panar and perpendicular coil orientations did not function due to equipment malfunction. Data were manually edited to remove sensor dropouts, lag corrected for apparent offsets between recorded GPS location and data locations for each coil pair, and averaged to a sounding distance of 1m along the survey path; data were not decoupled from infrastructure noise sources (powerlines, pipelines, fences, etc.) or corrected for sensor pitch or roll. This data release contains raw and processed electromagnetic data. Digital data are described by the data dictionaries. Additional details regarding the processing steps are described in the metadata.

Tags: electromagnetic-surveying, electromagnetics, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, groundwater, hydrogeology, national-wildlife-refuge, norman-lake, norock, north-dakota, northern-rocky-mountain-science-center, prairie-pothole-region, resistivity, salinity, science-team-about-energy-and-plains-and-potholes-environments, steppe, usgs-5e751974e4b01d50926e656c, water-resources, williston-basin
Organization: Department of the Interior
adra2_inap_pudf

Data collected and used for the Administrative Data Research and Analysis (ADRA2) study focused on customers enrolled in four programs that are part of the national workforce investment system: the Employment Service (ES) and three Workforce Investment Act (WIA) programs—the Adult Program, the National Farmworker Jobs Program (NFJP), and the Indian and Native American Program (INAP). The study produced four public use data files, each of which contains individual-level information on customers who left one of the four workforce investment programs in calendar year 2011.

Tags: ceo, oasp
Organization: Department of Labor
adra2_wiaadult_pudf

Data collected and used for the Administrative Data Research and Analysis (ADRA2) study focused on customers enrolled in four programs that are part of the national workforce investment system: the Employment Service (ES) and three Workforce Investment Act (WIA) programs—the Adult Program, the National Farmworker Jobs Program (NFJP), and the Indian and Native American Program (INAP). The study produced four public use data files, each of which contains individual-level information on customers who left one of the four workforce investment programs in calendar year 2011.

Tags: ceo, oasp
Organization: Department of Labor
Data for the assessment of the containment pond at Canyon Mine, Arizona, 2019-Vegetation

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.) in Canyon Mine containment pond vegetation samples collected in calendar year 2019.

Tags: arizona, canyon-mine, coconino, columbia-environmental-research-center, environment, grand-canyon, metals, mine-sites, mining-and-mineral-extraction, mining-hazards, usgs-5ebaaa5382ce25b513617fac
Organization: Department of the Interior
Data for the assessment of the containment pond at Canyon Mine, Arizona, 2019-Sediment

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.), carbon, and  particle size determination in Canyon Mine containment pond sediment samples collected in calendar year 2019.

Tags: arizona, canyon-mine, coconino, columbia-environmental-research-center, dissolved-metals, dissolved-organic-carbon, environment, grand-canyon, metals, mine-sites, mining-and-mineral-extraction, mining-hazards, sediment-analysis, university-of-missouri-soil-health-assessment-center, usgs-5ebaa68882ce25b513617f95
Organization: Department of the Interior
Predictive soil property map: Sand content

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive layer (resdept) and surface rock size and cover. Accuracy and error estimated using a 10-fold cross validation indicated a range of model performances with coefficient of variation (R2) for models ranging from 0.20 to 0.76 with mean of 0.52 and a standard deviation of 0.12. Models of pH, om and ec had the best accuracy (R2 &gt; 0.6). Most texture fractions, CaCO3, and SAR models had R2 values from 0.5-0.6. Models of kwfact, dbovendry, resdept, rock models, gypsum and awc had R2 values from 0.4-0.5 excepting near surface models which tended to perform better. Very fine sands and 200 cm estimates for other models generally performed poorly (R2 from 0.2-0.4), and sample size for the 200 cm models was too low for reliable model building.  More than 90% of the soils data used was sampled since 2000, but some older samples are included. Uncertainty estimates were also developed by creating relative prediction intervals, which allow end users to evaluate uncertainty easily.

Tags: accuracy-and-error-estimated, arizona, available-water-capacity, bulk-density, calcium-carbonate, colorado, colorado-river, colorado-river-basin, colorado-river-basin-above-hoover-dam, digital-soil-mapping, electrical-conductivity, environmental-conditions, environmental-raster-layers, erodibility, geoscientificinformation, gypsum, hoover-dam, interpolate, machine-learning, maps-and-atlases, nevada, new-mexico, organic-matter, predicitve-modeling, predictive-mapping, predictive-maps, random-forest-models, random-forests, restrictive-layer, rock, sodium-adsorption-ratio, soil-conductivity, soil-density, soil-forming-factors, soil-ph, soil-properties, soil-property-maps, soil-sciences, soil-texture, soils, surface-rock-cover, surface-rock-size, texture-fractions, uncertainty, usgs-5e90b34a82ce172707ed738a, utah, wyoming
Organization: Department of the Interior
Predictive soil property map: Sodium adsorption ratio

These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive layer (resdept) and surface rock size and cover. Accuracy and error estimated using a 10-fold cross validation indicated a range of model performances with coefficient of variation (R2) for models ranging from 0.20 to 0.76 with mean of 0.52 and a standard deviation of 0.12. Models of pH, om and ec had the best accuracy (R2 &gt; 0.6). Most texture fractions, CaCO3, and SAR models had R2 values from 0.5-0.6. Models of kwfact, dbovendry, resdept, rock models, gypsum and awc had R2 values from 0.4-0.5 excepting near surface models which tended to perform better. Very fine sands and 200 cm estimates for other models generally performed poorly (R2 from 0.2-0.4), and sample size for the 200 cm models was too low for reliable model building.  More than 90% of the soils data used was sampled since 2000, but some older samples are included. Uncertainty estimates were also developed by creating relative prediction intervals, which allow end users to evaluate uncertainty easily.

Tags: accuracy-and-error-estimated, arizona, available-water-capacity, bulk-density, calcium-carbonate, colorado, colorado-river, colorado-river-basin, colorado-river-basin-above-hoover-dam, digital-soil-mapping, electrical-conductivity, environmental-conditions, environmental-raster-layers, erodibility, geoscientificinformation, gypsum, hoover-dam, interpolate, machine-learning, maps-and-atlases, nevada, new-mexico, organic-matter, predicitve-modeling, predictive-mapping, predictive-maps, random-forest-models, random-forests, restrictive-layer, rock, sodium-adsorption-ratio, soil-conductivity, soil-density, soil-forming-factors, soil-ph, soil-properties, soil-property-maps, soil-sciences, soil-texture, soils, surface-rock-cover, surface-rock-size, texture-fractions, uncertainty, usgs-5e90b38b82ce172707ed75b1, utah, wyoming
Organization: Department of the Interior