AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2021 Site 4355 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce32bd34e5f6cd5528094, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 4245 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce325d34e5f6cd5528092, wetland, wetland-restoration
Organization: Department of the Interior
Argon geochronology results for Reconnaissance basement geology and tectonics of North Zealandia

The data are the results of mass spectrometer experiments to measure 40Ar/39Ar ages of groundmass and mineral separates from volcanic rocks in offshore New Zealand. The data were collected using a MAP216 noble gas mass spectrometer at the USGS facility in Menlo Park, California

Tags: geochronology, quaternary, tertiary, usgs-650090c3d34ed30c2057f6c6
Organization: Department of the Interior
Spatially explicit estimates of ecological resilience and resistance across the sagebrush biome under ambient and projected historical and future climate conditions

These data were compiled to provide a quantitative, spatially explicit estimate of ecological resilience and resistance (R&amp;R) under ambient and projected future climate conditions. Objective of our study was to understand where and why climate change will alter the distribution of ecological resilience and resistance in the sagebrush biome throughout the 21st century. To accomplish this, we pursued four specific objectives: we estimated the new R&amp;R indicators under future climate conditions and quantified changes from historical conditions; we developed a continuous R&amp;R index that integrates probability information from the underlying predictive R&amp;R models; we assessed the robustness of projected changes in R&amp;R to uncertainty in future climate conditions. These data represent spatially-explicit estimates of ecological resilience and resistance (R&amp;R; categorical indicators, probabilities, continuous indices) under ambient and downscaled projected historical and future climate conditions (historical, RCP 4.5, and RCP 8.5 CMIP5 scenarios). These data were created in rangelands and open woodlands across the sagebrush biome in 2023. These data were created by a collaboration between Northern Arizona University and the U.S. Geological Survey, Southwest Biological Science Center based on modeling which utilized predictive R&amp;R models utilizing ecological and climate metrics which were based on soil properties (NRCS), ambient climate data (gridMET), and downscaled climate projections (MACAv2-METDATA). These data can be used to assess geographic patterns in resilience and resistance under ambient and projected future climate conditions.

Tags: arizona, biogeography, biota, california, cheatgrass, climate-change, climatologymeteorologyatmosphere, colorado, data-release, datasets, dryland, ecological-processes, ecology, ecosystem-diversity, ecosystem-management, ecosystem-resilience, environment, fires, idaho, invasive-species, life-sciences, modeling, montana, natural-resource-management, nebraska, nevada, new-mexico, north-dakota, open-woodland, oregon, plants-organisms, remediation, resistance, sagebrush-region, shrubland-ecosystems, south-dakota, terrestrial-ecosystems, usgs-65008ae4d34ed30c2057f6ba, utah, vegetation, washington, weeds, western-united-states, wyoming
Organization: Department of the Interior
Digital drill core logs, Stillwater Complex, Montana

These data include individual zip files which contain TIFF (Tagged Image File Format) images of graphic drill core logs showing associated drill core information, a TIFF image of the explanation for the lithology and structure sections of the logs, Esri shapefiles of the locations of the drill hole collars, and .csv files of tabular data that were compiled from handwritten drill core logs. The drill core is from the Stillwater Complex, Montana and was drilled from the 1960's to the 2000's. Each zip file contains the data for a specific geographic region or geologic target within the Stillwater Complex.
The "SWTR_CM_drill_logs.zip" file contains data for the Contact Mountain area.
The "SWTR_JM_Reef_drill_logs.zip" file contains data for drill holes drilled for the purpose of exploration of the JM-Reef.
The "SWTR_PP_drill_logs.zip" file contains data for the Picket Pin area.
The data shown in the graphic drill logs and contained within the .csv files includes lithologic, structure, percent recovery, grain size, sulfide, chromite, nickel, copper, platinum, palladium, gold, and silver mineralization information.
The graphic drill logs were created using Golden software's Strater 5 drill core visualization software and are provided with both logarithmic and linear scales where applicable. The graphic drill logs are plotted using the depth recorded in the drill logs and do not reflect stratigraphic true thickness.
All instances of question marks ("?") represent original data as written by the geologist. In areas where the hand-written notes were unreadable, the notation of "[unreadable]" was used.
See USGS SIR 2014-5183 (https://pubs.usgs.gov/sir/2014/5183/) for report and spatial data relating to the Stillwater Complex.

Tags: core-analysis, geochemistry, geoscientificinformation, montana, stillwater, usgs-650084d4d34ed30c2057f6a9
Organization: Department of the Interior
Chance of potentially damaging ground shaking (MMI=VI) in 100 years, based on the 2023 update to the National Seismic Hazard Model

The 2023 Update of the U.S. National Seismic Hazard Model defines the potential for earthquake ground shaking for various probability levels across the United States and is applied in seismic provisions of building codes, insurance rate structures, risk assessments, and other public policy. The updated model represents an assessment of the best available science in earthquake hazards and incorporates new findings on earthquake ground shaking, seismicity, and long-period amplification over deep sedimentary basins. The new model represents an update of the seismic hazard model; previous versions were developed in 1996, 2002, 2008, 2014, and 2018.
This data set represents the chance of potentially damaging ground shaking (MMI=VI) in 100 years for a grid of points with a spacing of 0.1 degrees in latitude and longitude for Alaska, 0.02 degrees for Hawaii, and 0,05 degrees for the conterminous United States. The values are obtained by averaging the probability of experiencing MMI VI based on a peak ground acceleration, and the probability of experiencing MMI VI based on 1.0-second spectral acceleration. Ground motions are amplified using topographic, slope-based Vs30 values.

Tags: alaska, conterminous-united-states, earthquake, hawaii, hazard, seismic, united-states, usa, usgs-64ff8ca8d34ed30c2057b506
Organization: Department of the Interior
Alternative complement pathway assay data for adult largemouth bass exposed in outdoor ponds to 17alpha-ethinylestradiol or an estrone-atrazine mixture

Alternative complement pathway assay data observed in adult largemouth bass plasma in response to an EE2 (17alpha-ethinylestradiol) or mixture of estrone and atrazine exposure under laboratory pond conditions, with associated fish identification information.

Tags: 17-alpha-ethinylestradiol, alternative-complement-pathway, atrazine, biota, ecotoxicology, ee2, endocrine-disrupting-chemicals, estrogenic-endocrine-disrupting-compounds, estrone, fish, immunomodulation, largemouth-bass, micropterus-salmoides, pesticide-and-herbicide-contamination, usgs-64fb78d6d34ed30c2055ef20
Organization: Department of the Interior
Sea-level rise and high tide flooding inundation probability and depth statistics at San Juan National Historic Site, Puerto Rico

This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s San Juan National Historic Site. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National Oceanic and Atmospheric Administration (NOAA). We estimated the probability of an area being inundated under a given scenario using Monte Carlo simulations with 1,000 iterations. For an individual iteration, each pixel of the DEM was randomly propagated based on the lidar data uncertainty, while the sea-level rise and high tide flooding water level estimates were also propagated based on uncertainty in the sea-level rise estimate (Sweet and others, 2022) and tidal datum transformation, respectively. Moreover, the probability of a pixel being inundated was calculated by summing the binary simulation outputs and dividing by 1,000. Following, probability was binned into the following classes: 1) Unlikely, probability ≤0.33; 2) Likely as not, probability &gt;0.33 and ≤0.66; and 3) Likely, probability &gt;0.66. Finally, depth statistics were only recorded when depth was equal to or greater than 0. We calculated the median depth, 25th percentile, 75th percentile, and interquartile range using all the pixels that met this criterion. When utilizing the depth statistics, it is important to also consider the probability of this pixel being flooded. In other words, the depth layers may show some depth returns, but the pixel may have rarely been inundated for the 1,000 iterations.

Tags: biota, environment, health, national-park-service-south-atlantic-gulf-region, puerto-rico, san-juan-island-national-historical-park, united-states, usgs-64fb3c32d34ed30c2055b0aa, wetland-ecosystems
Organization: Department of the Interior
Sea-level rise and high tide flooding inundation probability and depth statistics at De Soto National Memorial, Florida

This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s De Soto National Memorial. These datasets were developed using 1-m digital elevation model (DEM) from the 3D Elevation program. This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National oceanic and Atmospheric Administration (NOAA). We estimated the probability of an area being inundated under a given scenario using Monte Carlo simulations with 1,000 iterations. For an individual iteration, each pixel of the DEM was randomly propagated based on the lidar data uncertainty, while the sea-level rise and high tide flooding water level estimates were also propagated based on uncertainty in the estimate (Sweet and others, 2022) and tidal datum transformation, respectively. Moreover, the probability of a pixel being inundated was calculated by summing the binary simulation outputs and dividing by 1,000. Following, probability was binned into the following classes: 1) Unlikely, probability ≤0.33; 2) Likely as not, probability &gt;0.33 and ≤0.66; and 3) Likely, probability &gt;0.66. Finally, depth statistics were only recorded when depth was equal to or greater than 0. We calculated the median depth, 25th percentile, 75th percentile, and interquartile range using all the pixels that met this criterion. When utilizing the depth statistics, it is important to also consider the probability of this pixel being flooded. In other words, the depth layers may show some depth returns, but the pixel may have rarely been inundated for the 1,000 iterations.

Tags: biota, de-soto, environment, florida, health, national-park-service-south-atlantic-gulf-region, united-states, usgs-64fb3b4bd34ed30c2055b09d, wetland-ecosystems
Organization: Department of the Interior
Prairie Fire Assessment of Fire Occurrence Dataset (FOD) points location for Flint Hills Region

This product ("Prairie fires") presents burned area boundaries for The Flint Hills Ecoregion (KS and OK), one of the most fire prone ecosystems in the United States where hundreds of thousands of acres burn annually as prescribed fire and wildfire. The prairie fire products provide the extent of larger prairie fires in the Flint Hills to record the occurrence of fire and can be used to identify individual burned areas within the perimeters. This product is published to provide fire information of the most fire prone ecosystems to individuals and land management communities for assessing burn extent and impacts on a time sensitive basis. 
The methods used to produce the prairie fire products from 2019 to present are different than Monitoring Trends in Burn Severity Program (MTBS) methods. The product is developed by running a classification tree model on Landsat and Sentinel imagery for all available image dates with visible fires and without greater than 80 percent cloud cover in the spring of each year. The model takes each image, uses all Landsat bands 2-7 or Sentinel 2b bands 2-4, 8, 11, and 12, and finds thresholds between burnt and unburnt areas to create perimeters. Fire perimeters are created by the model and no manual editing is performed. Thus, these data are 100 percent (model based) auto-generated, however, analysts do review and remove small polygons less than 3 acres. The Prairie Fire dataset will include multi-part polygons and have one record for each source image date.
These new methods are optimized to efficiently map and characterize the large number of fires that occur in this region on an annual basis. Prior to 2019, the standard MTBS fire mapping methods were used. Because of the unique frequency and extent of fire in this prairie biome, these fire products are now delivered through the Burn Severity Portal and are no longer included as part of the MTBS products unless a fire is identified in IRWIN, NFPORS or a legacy federal fire occurrence database. The provided data products will vary slightly based on the mapping methodology applied at the time of fire occurrence (pre-2019 or 2019 and later). This map layer is a vector point shapefile of fires occurring three acres and greater in size between calendar year 2009 and 2024 for the Flint Hills Ecoregion.

Tags: burned-area, continental-u-s, conus, fire-location, fire-occurrence, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, sentinel, united-states, us, usgs-64cce807d34ef477cf3a6979, wildfire, wildland-fire
Organization: Department of the Interior
Sea-level rise and high tide flooding inundation probability and depth statistics at Big Cypress National Preserve, Florida

This dataset includes elevation-based probability and depth statistics for estimating inundation under various sea-level rise and high tide flooding scenarios in and around the National Park Service’s Big Cypress National Preserve. For information on the digital elevation model (DEM) source used to develop these datasets refer to the corresponding spatial metadata file (Danielson and others, 2023). This data release includes results from analyses of two local sea-level rise scenarios for two-time steps — the Intermediate-Low and Intermediate-High for 2050 and 2100 from Sweet and others (2022). Additionally, this data release includes maps of inundation probability under the minor, moderate, and major high tide flooding thresholds defined by the National Oceanic and Atmospheric Administration (NOAA). We estimated the probability of an area being inundated under a given scenario using Monte Carlo simulations with 1,000 iterations. For an individual iteration, each pixel of the DEM was randomly propagated based on the lidar data uncertainty, while the sea-level rise and high tide flooding water level estimates were also propagated based on uncertainty in the sea-level rise estimate (Sweet and others, 2022) and tidal datum transformation, respectively. Moreover, the probability of a pixel being inundated was calculated by summing the binary simulation outputs and dividing by 1,000. Following, probability was binned into the following classes: 1) Unlikely, probability ≤0.33; 2) Likely as not, probability &gt;0.33 and ≤0.66; and 3) Likely, probability &gt;0.66. Finally, depth statistics were only recorded when depth was equal to or greater than 0. We calculated the median depth, 25th percentile, 75th percentile, and interquartile range using all the pixels that met this criterion. When utilizing the depth statistics, it is important to also consider the probability of this pixel being flooded. In other words, the depth layers may show some depth returns, but the pixel may have rarely been inundated for the 1,000 iterations.

Tags: big-cypress-national-preserve, biota, environment, florida, health, national-park-service-south-atlantic-gulf-region, united-states, usgs-64fb33add34ed30c2055b04b, wetland-ecosystems
Organization: Department of the Interior
Workforce Programs Quarterly Performance Report (QPR) Data

Workforce Programs Quarterly Performance Report (QPR) Data: The Programs Quarterly Performance Report  Data is data ETA collects from grantees on a quarterly basis via form ETA-9173 (Quarterly Performance Report (QPR). These data are aggregate values that are generated by ETA in the Workforce Integrated Performance System (WIPS) using individual record data reported by grantees using the DOL PIRL (ETA-9172). This dataset includes information on the WIOA Title I Adult, Dislocated Worker, Youth, WIOA Title III Wagner-Peyser Employment Service, Trade Adjustment Assistance, National Dislocated Worker Grants, National Farmworker Jobs Program (Career Services and Training), National Farmworker Jobs Program (Housing), Indian and Native American Program (Adult), Indian and Native American Program (Youth), Reentry Employment Opportunities (REO) (Adult), Reentry Employment Opportunities (REO) (Youth), YouthBuild, H-1B, Job Corps, Senior Community Service Employment Program (SCSEP), Registered Apprenticeship Grants Program, and the Veteran’s Employment Service’s Jobs for Veterans State Grant programs for performance accountability purposes. The QPR data include data on the demographics, types of services received, and outcomes of the participants served by the grant, for each of these programs. For some of these programs, some of these data is available by grant on ETA’s website (https://www.dol.gov/agencies/eta/performance/results/national).

Tags: apprenticeship, dwg, eta, h-1b, ina, inap, job-corps, jvsg, ndwg, nfjp, ra, reo, scsep, taa, wioa-adult, wioa-dislocated-worker, wioa-performance, wioa-youth, workforce-system, youthbuild
Organization: Department of Labor