AndreaBozzo/ceres-open-data-index huggingface dataset:
Baseline for the North Carolina coastal region from Cape Fear to the South Carolina border (NCwest)

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, north-carolina, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-64de6fa8d34e5f6cd55350c1, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Water Chemistry data for samples collected at groundwater sites in the Poso Creek Oil Field study area, February 2020-December 2021, Kern County, California

The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater, surface water, and associated quality control (QC) samples in the Poso Creek Oil Field study area during February 2020-December 2021. Groundwater samples were collected from eleven irrigation, two domestic, two public supply, four monitoring wells, two institutional wells, and two surface water sites located within a five km buffer zone surrounding the Poso Creek Oil Field in Kern County, California. Samples were collected using established groundwater data-collection protocols and procedures. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds (VOCs), naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon (DOC), dissolved standard and hydrocarbon gases (methane through hexane), and dissolved noble gasses, atmospheric gases, and surrogates. Approximately two hundred and eight constituents and water-quality indicators were measured. QC samples analyzed as part of the Poso Creek Oil Field study included replicates, source-solution blanks, field and equipment blanks, and laboratory spikes and surrogates.

Tags: aquifers, california, geochemistry, groundwater, groundwater-aquifer, groundwater-quality, inlandwaters, kern-county, poso-creek-oil-field, regional-monitoring-program, salinity, salinity-mapping, usgs-64de6c96d34e5f6cd55350a3, water-chemistry, water-quality-data
Organization: Department of the Interior
Cover of exotic annual and perennial grasses across post-fire restoration treatments on the Soda Wildfire

Data includes functional group cover of exotic annual grasses, deep rooted perennial grasses, and shallow rooted perennial grasses within the first five years after the 2015 Soda wildfire across different post-fire restoration treatments. Additional landscape and weather covariates hypothesized to influence treatment effectiveness are included.

Tags: artemesia-tridentata, biota, bromus-tectorum, community-ecology, ecology, environment, exotic-annual-grasses, great-basin, idaho, land-use-and-land-cover, lichens, mosses, oregon, poa-secunda, post-fire-recovery, usgs-64de6ba8d34e5f6cd553509a, vegetation
Organization: Department of the Interior
Input for Habitat Risk Software

Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) populations across the US and Canada. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies have employed epidemiological models to understand long-term environmental risk. However, continued rapid spread of CWD into new regions of the continent has underscored the need for extension of these models into broader tools applicable for wide use by wildlife agencies. Additionally, efforts to semi-automate models will facilitate access of technical scientific methods to broader audiences. We introduce software (Habitat Risk) designed to link a previously published epidemiological model with spatially referenced environmental and disease testing data enabling agency personnel to make up-to-date, localized, data-driven predictions regarding the odds of CWD detection in surrounding areas after an outbreak is discovered. Habitat Risk requires pre-processing publicly available environmental datasets and standardization of disease testing (surveillance) data, after which an autonomous computational workflow terminates in a user interface that displays an interactive map of disease risk. We demonstrated the use of the Habitat Risk software with surveillance data of white-tailed deer from Tennessee, US. 
This data release includes the data inputs necessary to run the 1st script of the Habitat Risk Software which includes a .csv and preprocessed spatial layers described in Mitchell et al. 2021 but provided here for ease of running the example and surveillance disease testing data (included here). Data included in the .csv are not true locations of samples, rather modified data to be used solely for purposes of running through the R-code
Mitchell, C., Walter, W. D., Hollingshead, N., &amp; Schuler, K. 2021. Processing of Geospatial Data for the Habitat Risk Software [Software]. Cornell University Library eCommons Repository. https://doi.org/10.7298/2tt1-yy48

Tags: biota, surveillance, usgs-64de6780d34e5f6cd5535071
Organization: Department of the Interior
Land cover basin characteristics rasters from NLCD 2019 for South Carolina StreamStats

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey calculated four land cover basin characteristics rasters from the National Land Cover Database (NLCD) 2019 as part of updating the South Carolina StreamStats application. These datasets are raster representations of impervious surface, developed, forested, and storage land cover attributes within the South Carolina StreamStats study area, and will be served in the South Carolina StreamStats application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate watershed areas, get basin characteristics and estimates of flow statistics, and more.

Tags: biota, environment, forest-ecosystems, geoscientificinformation, geospatial-datasets, human-impacts, hydrology, image-analysis, imagerybasemapsearthcover, inlandwaters, land-use-and-land-cover, runoff, usgs-64de2b7bd34e5f6cd5533c2d, vegetation
Organization: Department of the Interior
Head-observation files to identify the highest simulated water table for Clover Creek watershed, Pierce County, Washington

The depths to a high and average water table below the land surface were estimated across the Clover Creek watershed in Pierce County, Washington. Groundwater model simulations provided initial estimates of water-table depths for the analysis. To provide optimized, data-driven estimates of these depths, a continuous bias correction surface was applied to model output according to differences between simulated and observed water levels at observation wells.

Tags: clover-creek-watershed, groundwater-model, imagerybasemapsearthcover, pierce-county, underground-injection-analysis, usgs-64dd3ec3d34e5f6cd552936b, washington, water-table
Organization: Department of the Interior
Velocity Survey at Cross Sections in the Illinois River below Starved Rock Lock and Dam near Utica, Illinois, June 16, 2021

In support of U.S. Geological Survey invasive carp research examining aggregations of invasive carp in the tail water of dams, water velocity measurements were made at cross sections in the Illinois River below Starved Rock Lock and Dam on June 16, 2021. A total of 16 cross sections were surveyed, with two transects per cross section. Water depth and crew safety limited the extent of the survey. The discharge in the Illinois River at Starved Rock Lock and Dam at the time of data collection was approximately 185.7 cubic meters per second. The data were processed in the Velocity Mapping Toolbox (VMT) v.4.09 (Parsons and others, 2013) to obtain a depth-averaged velocity field for each cross section from paired transects at each cross section.   
References Cited:
Parsons, D.R., Jackson, P.R., Czuba, J.A., Engel, F.L., Rhoads, B.L., Oberg, K.A., Best, J.L., Mueller, D.S., Johnson, K.K. and Riley, J.D., 2013, Velocity Mapping Toolbox (VMT): a processing and visualization suite for moving-vessel ADCP measurements, Earth Surface Processes and Landforms, v. 38, no. 11, p. 1244–1260. [Also available at https://doi.org/10.1002/esp.3367].

Tags: acoustic-doppler-current-profiling, bathymetry, gps-measurement, illinois, inlandwaters, starved-rock, usgs-64dd02d5d34e5f6cd55286c7, utica, velocity-mapping-toolbox-vmt
Organization: Department of the Interior
Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys

Removal of two large dams from the Elwha River, Washington USA, in 2011-2014 released ~20.5 metric tons (Mt) of impounded sediment, ~5.4 Mt of which was deposited in the river delta and estuary. This dataset presents measurements of geomorphic surfaces, vegetation colonization, and plant community development in the Elwha River delta and estuary after dam removal. Geomorphic surfaces and vegetation colonization were estimated from aerial imagery of the delta and estuary in 2016 and 2018. Plant community development was quantified from field plot surveys of pioneer plant communities on new surfaces in 2014 and 2018 and of established delta and estuarine plant communities on older surfaces in 2007, 2014, and 2018. The dataset includes ortho-rectified aerial imagery for the delta and estuary: (1) 20160811_Elwha_delta and (2) 20180719_Elwha_delta. Second, it includes four polygon shapefiles of cover by geomorphic surface types and vegetation types drawn from the 2016 and 2018 aerial imagery: (3) BeachUnits_2016.shp, (4) BeachUnits_2018.shp, (5) VegUnits_2016.shp, and (6) VegUnits_2018.shp. Third, it includes three tabular data files of field plot measurements: (7) plant species richness and cover summed by functional group (woody, forb, graminoid, perennial, annual/biennial, native, introduced) in each plot each year (VegPlot_FunctGrpRichCover_2007-2014-2018.csv), (8) percent cover by plant species visually estimated in each plot each year (VegPlot_SpCover_2007-2014-2018.csv), and (9) edaphic conditions (soil depth, soil surface gravel/cobble, surface age, surface elevation) measured in each plot on new surfaces in the delta and estuary in years during and after dam removal (VegPlot_NewSurfaceEdaphic_2014-2018.csv). Fourth, it includes two point shapefiles of (10) locations of sampled field vegetation plots (VegPlot_Locations_2007-2014-2018.shp) and (11) point locations for a stratified random sample within new surface polygons in the delta and estuary in 2018 (NewSurface_StratRandSample_2018.shp); this stratified random sample was used in an analysis of surface development and dynamics based on U.S. Geological Survey annual digital elevation models of the delta and estuary in 2011-2018. Finally, the dataset includes 11 metadata files (.xml), one for each of the 11 data files.

Tags: biota, clallam-county, coastal-ecosystems, coastal-processes, dam, dam-removal, ecological-change, ecological-processes, elwha-river, environment, geomorphology, geoscientificinformation, geospatial-datasets, habitats, human-impacts, human-impacts-on-habitats, olympic-peninsula, port-angeles, united-states-of-america, usgs-64c80dfcd34e70357a34a2dc, vegetation, washington
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site PO0142-03 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-64dce3bed34e5f6cd55280cd, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site PO0142-02 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-64dce3bad34e5f6cd55280cb, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site BA0039-03 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-64dce3b1d34e5f6cd55280c7, wetland, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site BA0039-02 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-64dce3abd34e5f6cd55280c5, wetland, wetland-restoration
Organization: Department of the Interior
Low-altitude aerial imagery collected from a UAS at Nauset Light Beach, Eastham, MA on September 14 and 20, 2023, pre and post Hurricane Lee

The data in this release map Marconi Beach, Head of the Meadow Beach, and Nauset Light Beach, in Cape Cod National Seashore (CACO), Massachusetts, before and after Hurricane Lee in September 2023. U.S Geological Survey personnel conducted field surveys to collect topographic data using global navigation satellite systems (GNSS) at all three beaches. In addition, at Nauset Light Beach, an uncrewed aerial system (UAS) was used to collect images with a Ricoh GRII camera for use in structure from motion photogrammetry. High-precision GNSS targets (AeroPoints) were used as ground control points (GCPs) for the UAS photogrammetry. Agisoft Metashape (v. 2.0.1) software was used to create a digital surface model and an orthomosaic from the collected imagery and GCPs. Photos were taken with smartphones for environmental context. This work was conducted under National Park Service Research Permit CACO-2020-SCI-0021.

Tags: aerial-photography, cape-cod, cape-cod-national-seashore, cmhrp, coastal-and-marine-hazards-and-resources-program, eastham, elevation, geolocation-measurement, geoscientificinformation, geospatial-datasets, geotagged-photos, global-positioning-system-gps-observations, hurricane-lee, image-collections, location, low-altitude-aerial-imagery, massachusetts, national-park-service, nauset-light-beach, oceans, photography, remote-sensing, shoreline-photographs, u-s-geological-survey, uas, united-states, usgs, usgs-6511a2edd34e823a0275dbda, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior