AndreaBozzo/ceres-open-data-index huggingface dataset:
Predictive soil property map: Soil pH

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-5e90b3b482ce172707ed76f7, utah, wyoming
Organization: Department of the Interior
Predictive soil property map: Surface rock

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-5e90b36782ce172707ed746b, utah, wyoming
Organization: Department of the Interior
Apprenticeship Enterprise Data Platform (EDP)

A Snowflake-hosted (cloud-based) Enterprise Data Platform that ingests RAPIDS data daily and arranges it through varying levels of data schema. The underlying data can be queried through a Tableau connection or a Tableau Server and used to power live data visualizations for OA staff.

Tags: apprenticeship, edp, enterprise-data-platform, oa, snowflake, tableau
Organization: Department of Labor
Predictive soil property map: Very fine 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-5e90b43d82ce172707ed7b59, utah, wyoming
Organization: Department of the Interior
Job Corps Program Data Set

The Job Corps Program Data Set is collected and maintained by the Job Corps Data Center on all Job Corps centers, program participants, services, outcomes, costs, and other administrative information. ETA's Office of Job Corps creates various reports in aggregate from this data set that are publicly available on the www.jobcorps.gov website.

Tags: admissions, center, cts, eta, job-corps, outcome-measurement-system, outreach, performance, student-enrollment
Organization: Department of Labor
Data for the assessment of the containment pond at Canyon Mine, Arizona, 2019-Invertebrates

These data are comprised of measurements of elements (e.g., uranium, cobalt, nickel, copper, zinc, cadmium, lead, etc.) in Canyon Mine containment pond invertebrate 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-5ebaa44c82ce25b513617f8f
Organization: Department of the Interior
Occupational Information Network (O*NET) Production Database data

Comprehensive profile of occupational descriptors and characteristics for 923 O*NET-SOC occupations.  Includes, knowledge, skills, abilities, tasks, work activities and additional attributes.  Available as downloadable files, and web services/APIs.   See:  www.onetcenter.org

Tags: abilities, eta, knowledge, occupational-information, skills, tasks
Organization: Department of Labor
Alarm System

This application automates the process between the building alarm and Notification systems such email, VoIP Phone and GFE laptops. It triggers Notifications to all occupants of the Frances Perkins Building (FPB) by sending Notifications by email, VoIP Phone and GFE laptops screen pop to improve the accuracy and timeliness of the communication amongst FPB occupants in an emergency.

Tags: oasam, ocio
Organization: Department of Labor
Fire resistance trait data for 29 western North American conifer species

The data represent a collection of six different traits related to conifer fire resistance morphology and flammability. These traits have been combined into a single fire resistance score, contained as a variable within the data table. The raster file shows the distribution of this variable across space, specifically western North America.

Tags: biogeography, fire-resistance, functional-traits, usgs-5e39f54ee4b0a79317e15e73
Organization: Department of the Interior
MRDS_Features_in_CA_Enhanced_Deposit_Model_Data

There are more than 42,000 entries in the USGS Mineral Resources Data System (MRDS) for the State of California. Previously, the field for deposit type was sparsely populated, which made it difficult to evaluate mine sites needing environmental remediation. This has been rectified by populating the deposit type field using 100 deposit types cited in previous USGS publications, and 137 provisional deposit types described here. Other categories listed in the deposit type field include 29 types of mineral processing facilities, 6 miscellaneous categories used previously in MRDS, and 56 unclassified categories tied to primary commodity. References are provided for each deposit type, as available, including descriptive models, grade-tonnage models, and geo-environmental models. The new information on deposit type will be useful to federal, state, and local agencies concerned with prioritizing abandoned mine sites for environmental assessment.

Tags: economic-geology, geospatial-datasets, mineral-deposits, mineral-resources, ore-formation, usgs-5e47462de4b0ff554f6837d1
Organization: Department of the Interior
Using wildland fire tracer molecules to investigate fire frequency and vegetative combustion sources archived in the Juneau Icefield of Alaska

The past decade includes some of the most extensive boreal forest fires in the historical record. Environmental drivers include warming temperatures, changing precipitation patterns, desiccation of thick organic soil layers, and increased ignition frequency from lightning. Wildland fires produce smoke aerosols that can travel thousands of kilometers, before blanketing the surfaces on which they fall, such as the Juneau Icefield of Alaska. This data release presents chemical constituent and physical particulate results from investigations of wildland fire smoke deposits and other atmospheric deposition characteristics stored in layers of ice in the Juneau Icefield of Alaska, USA (Tables 1 and 2).  We drilled a series of four firn cores in summer of 2016 and two cores in summer of 2017 in cooperation with the Juneau Icefield Research Program (JIRP). The ice core sampling locations are shown in the Juneau Icefield Alaska Map jpg graphic. The JIRP cores comprise a transect that spans the high-precipitation southwestern slopes of the Juneau Icefield (Lemon Creek and Taku Glaciers), to the relatively drier sites of the central plateau (Matthes Glacier), and ends at the top of the Llewellyn Glacier, which is experiencing some of the most dramatic melt on the entire icefield. A new gas chromatography tandem mass spectrometry method was developed to analyze all ice core samples (2016 and 2017) for monosaccharide anhydrides, which are unique molecular identifiers of biomass combustion, rather than fossil fuel combustion (Tables 3 and 4). The 2016 ice samples were also analyzed for major ions, particle counts, and stable isotopes of oxygen and hydrogen in water which are also present in this data release (Table 4).

Tags: alaska, atmospheric-and-climatic-processes, atmospheric-deposition-chemical-amp-particulate, droughts, fires, glaciology, juneau-county, juneau-icefield, lemon-creek-glacier, llewellyn-glacier, matthes-glacier, snow-and-ice-cover, taku-glaicer, united-states, usgs-5e472c3ee4b0ff554f6837bc, water-resource-management, water-resources
Organization: Department of the Interior
Morphometric, Age, Visible Abnormalities, Skin and Liver Neoplasms, and Stable Isotopes in White Sucker Collected in the St. Louis River and Estuary, Minnesota/Wisconsin, 2011-2015

The dataset provides length, weight, age, observations of visible external abnormalities, liver and skin histopathology and stable isotopes of white sucker captured within the St. Louis river and associated bays.

Tags: biota, liver-tumors, skin-tumors, st-louis-bay, st-louis-river, stable-isotopes, superior-bay, usgs-5e470e88e4b0ff554f6837a4
Organization: Department of the Interior
Ground control points collected during unmanned aerial systems (UAS) flights: Potomac River in White's Ferry, Maryland on October 23, 2019

Low-altitude digital images were taken over an area of the Potomac River in White's Ferry, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 23, 2019. The imagery was collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release contains the csv files containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 18N referenced to the North American Datum of 1983 (2011), of the ground control points.

Tags: aeropoints, ceramic-tile, elevation, gcp, geoscientificinformation, global-positioning-system, gps, ground-control-points, location, maryland, navigation, navigational-data, potomac-river, u-s-geological-survey, usa, usgs, usgs-5e46f7f0e4b0ff554f683742, whites-ferry, wooden-target
Organization: Department of the Interior
Ground control points collected during unmanned aerial systems (UAS) flights: Potomac River in Point of Rocks, Maryland on October 24, 2019

Low-altitude digital images were taken over an area of the Potomac River in Point of Rocks, Maryland using 3DR Solo unmanned aircraft systems (UAS) on October 24, 2019. The imagery was collected for the purpose of evaluating UAS assessment of river habitat data such as water depth, substrate type, and water clarity. Some photographs contain black and white targets used as ground control points (GCPs), which were surveyed by a field crew with a high-precision (GNSS) Global Navigation Satellite System and/or containing internal post processing kinematic (PPK) GPS system. This data release contains the csv files containing the latitude and longitude coordinates, in Universal Transverse Mercator Zone 18N referenced to the North American Datum of 1983 (2011), of the ground control points.

Tags: aeropoints, ceramic-tile, elevation, gcp, geoscientificinformation, global-positioning-system, gps, ground-control-points, location, maryland, navigation, navigational-data, point-of-rocks, potomac-river, u-s-geological-survery, usa, usgs, usgs-5e46f694e4b0ff554f68372f
Organization: Department of the Interior
Capture-mark-recapture data for chorus frogs at Matthews Pond

These capture-mark-recapture data for chorus frogs contribute to the project abstracted below:
We used 29 year of data on boreal chorus frogs at two sites to view life-history, estimate demographic parameters, assess weather-related covariates, and determine the magnitude of process variation in target parameters. Average estimates of survival probabilities were 0.51 (standard error [SE]=0.04) and 0.43 (SE=0.04), and average estimates of recruitment probabilities were 0.64 (SE=0.07) and 0.44 (SE=0.04). Process variation accounted for greater than 76% of the total temporal variation in both parameters at one pond and in survival probability alone at the other.

Tags: amphibian-decline, biota, chorus-frog, usgs-5e46cd6de4b0ff554f66e4ab
Organization: Department of the Interior
Capture-mark-recapture data for chorus frogs at Lily Pond

These capture-mark-recapture data for chorus frogs contribute to the project abstracted below:
We used 29 years of data on boreal chorus frogs at two sites to view life-history, estimate demographic parameters, assess weather-related covariates, and determine the magnitude of process variation in target parameters. Average estimates of survival probabilities were 0.51 (Standard error [SE]=0.04) and 0.43 (SE=0.04), and average estimates of recruitment probabilities were 0.64 (SE=0.07) and 0.44 (SE=0.04). Process variation accounted for greater than 76% of the total temporal variation in both parameters at one pond and in survival probability alone at the other.

Tags: amphibian-decline, biota, chorus-frog, usgs-5e46cd65e4b0ff554f66e444
Organization: Department of the Interior
Capture covariates Cameron Pass chorus frog data

We used 29 years of data on boreal chorus frogs at two sites to view life-history, estimate demographic parameters, assess weather-related covariates, and determine the magnitude of process variation in target parameters. Average estimates of survival probabilities were 0.51 (Standard error [SE]=0.04) and 0.43 (SE=0.04), and average estimates of recruitment probabilities were 0.64 (SE=0.07) and 0.44 (SE=0.04). Process variation accounted for greater than 76% of the total temporal variation in both parameters at one pond and in survival probability alone at the other.

Tags: biota, chorus-frogs, colorado, usgs-5e46cd60e4b0ff554f66e422
Organization: Department of the Interior
Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed, 1950-2050

Reactive nitrogen is transported from the atmosphere to the landscape as wet and dry deposition that contributes to annual nitrogen loads to the Chesapeake Bay. Estimates of atmospheric inorganic nitrogen deposition to the Chesapeake Bay watershed during 1950 to 2050 are presented, and are based on field measurements, model simulations, statistical relations, and surrogate constituents used for estimates. Wet atmospheric nitrogen deposition has generally been quantified from weekly precipitation sample collections, whereas dry atmospheric nitrogen deposition has been simulated by a model at an hourly time step.

Tags: ammonia, ammonium, atmospheric-and-climatic-processes, atmospheric-deposition-chemical-amp-particulate, atmospheric-properties, chesapeake, chesapeake-bay-watershed, delaware, direct-atmospheric-deposition, district-of-columbia, environment, estuary, geoscientificinformation, inorganic, lower-chesapeake-bay, maryland, new-york, nitrate, nitric-acid, nitric-oxide, nitrogen, oxides, pennsylvania, precipitation-atmospheric, reduced, upper-chesapeake-bay, usgs-5e46c9fde4b0ff554f66bf52, virginia, water-quality, watershed, watershed-management, west-virginia
Organization: Department of the Interior
Rainbow trout growth data and growth covariate data downstream of Glen Canyon Dam in the Colorado River, Arizona, 2012 - 2016

These data are the primary data used to estimate rainbow trout abundance and survival in the Colorado River, Glen and Grand Canyons. Refer to the analyses as per the associated journal manuscript (see Larger Work Citation). Prey availability, feeding efficiency, and competition reduce somatic growth and cause the collapse of a fish population" Nighttime boat electrofishing was used to sample rainbow trout four times per year in April, July, September, and January, from April 2012 through September 2016. A total of five reaches were sampled between Glen Canyon Dam (river kilometer [rkm] 0) to below the confluence with the Little Colorado River (located at rkm 130). Reaches ranged from two to six km in length. A total of 47,056 individual rainbow trout were tagged with passive integrated transponders (PIT) over the first 18 trips across the five study reaches. and 7,733 of these individuals were recaptured one or more trips after they were released. A total of 1,477 individuals (19%) were recaptured more than once (i.e., on two or more trips after release). In total, 9,542 across-trip recaptures with length and weight measurements on release and recapture events were obtained. Very few tagged fish were recaptured in reaches other than the ones they were released in, and these fish were excluded from the analysis. Provided are tabulated data for fish capture (158,324 records), size-stratified abundance estimates by reach and sampling trip, and the upper and lower confidence intervals for total abundance. We evaluated the effects of discharge, water temperature, solar insolation, turbidity-driven reactive distance (feeding efficiency), intraspecific competition, and prey availability on growth rates of rainbow trout. These six covariates were selected based on hypotheses of how they affect the rate of prey delivery, metabolic and foraging costs, foraging efficiency, and prey availability. Covariates are compiled as tabulated mean values for each reach and sampling trip and corresponding data sources.

Tags: 95-confidence-intervals, abiotic, arizona, biogeography, biotic, buck-farm, colorado-river, covariate-data, date, electrofishing, field-data, field-inventory-and-monitoring, field-sampling, fish, fish-capture, fish-distribution, fish-length, fish-recapture, fish-weight, fork-length, freshwater, freshwater-ecosystems, freshwater-salmonid, glen-canyon, glen-canyon-dam, grand-canyon, growth-modelling, house-rock, lees-ferry, little-colorado-river, lower-colorado-river, lower-colorado-river-confluence, lower-marble-canyon, marble-canyon, mark-recapture-study, measurements, middle-marble-canyon, paria-river, passive-integrated-transponders-pit, rainbow-trout, rainbow-trout-abundance, river-ecosystems, river-reaches, shoreline-sites, somatic-growth, tailwater, time, time-series-datasets, trip-interval, upper-marble-canyon, usgs-5e46bda1e4b0ff554f66395e
Organization: Department of the Interior