AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Exposed East Chukchi Sea coast of Alaska between Point Barrow and Icy Cape

This dataset consists of long-term (~65 years) shoreline change rates for the north coast of Alaska between Point Barrow and Icy Cape. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2012. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: arctic, barrow, chukchi-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, national-petroleum-reserve-alaska, north-slope, npr-a, oceans, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-59499773e4b062508e359bc0, utqiagvik, wainwright
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Sheltered East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River

This dataset consists of long-term (~63 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, hulahula-river, jago-river, kaktovik, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-59499751e4b062508e359bbe
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.3 Transects with Long-Term Linear Regression Rate Calculations for the Exposed East Beaufort Sea coast of Alaska between the U.S. Canadian Border and the Hulahula River

This dataset consists of long-term (~63 years) shoreline change rates for the north coast of Alaska between the U.S. Canadian Border and the Hulahula River. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3, an ArcGIS extension developed by the U.S. Geological Survey. Long-term rates of shoreline change were calculated using a linear regression rate-of-change method based on available shoreline data between 1947 and 2010. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate long-term rates.

Tags: anwr, arctic, arctic-national-wildlife-refuge, barter-island, beaufort-sea, cmgp, coastal-and-marine-geology-program, coastal-processes, demarcation-bay, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, habitat, hulahula-river, jago-river, kaktovik, national-assessment-of-coastal-change-hazards, national-assessment-of-shoreline-change-project, north-slope, oceans, okpilak-river, pacific-coastal-and-marine-science-center, pcmsc, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, state-of-alaska, u-s-geological-survey, united-states-of-america, usgs, usgs-5949972ee4b062508e359bbc
Organization: Department of the Interior
Landward migration of tidal saline wetlands with sea-level rise and urbanization: a comparison of northern Gulf of Mexico estuaries

Coastal wetland ecosystems are expected to migrate landward in response to accelerated sea-level rise. However, due to differences in topography and coastal urbanization extent, estuaries vary in their ability to accommodate wetland migration. The landward movement of wetlands requires suitable conditions, such as a gradual slope and land free of urban development. Urban barriers can constrain migration and result in wetland loss (coastal squeeze). For future-focused conservation planning purposes, there is a pressing need to quantify and compare the potential for wetland landward movement and coastal squeeze. For 41 estuaries in the northern Gulf of Mexico (i.e., the USA gulf coast), we quantified and compared the area available for the landward migration of tidal saline wetlands and the area where urban development is expected to prevent migration (coastal squeeze), under three alternative future sea-level rise scenarios (0.5-, 1.0-, and 1.5-m by 2100).

Tags: alabama, biota, climate-change, effects-of-climate-change, environment, estuaries, estuary, florida, gulf-of-mexico, louisiana, mississippi, natural-resource-management, north-america, planning-cadastre, sea-level-change, texas, united-states, usgs-5989fd82e4b09fa1cb0cc903, wetlands
Organization: Department of the Interior
Sampled Sites for the U.S. Geological Survey Southeast Stream Quality Assessment

In 2015, the second of several Regional Stream Quality Assessments (RSQA) was done in the southeastern United States. The Southeast Stream Quality Assessment (SESQA) was a study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA, and thus the SESQA, is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Van Metre and Journey, 2014). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 115 water-chemistry sites sampled for the SESQA, and is one of the four fundamental geospatial data layers that were developed for the Southeast study.

Tags: alabama, geographic-information-systems, georgia, geospatial-analysis, geospatial-datasets, inlandwaters, national-water-quality-assessment, north-carolina, regional-stream-quality-assessment, rsqa, sampling-site, sesqa, site, south-carolina, southeast-stream-quality-assessment, tennessee, usgs-598a03a6e4b09fa1cb0cc922, virginia
Organization: Department of the Interior
Study Boundary for the U.S. Geological Survey Southeast Stream Quality Assessment

In 2015, the second of several Regional Stream Quality Assessments (RSQA) was done in the southeastern United States. The Southeast Stream Quality Assessment (SESQA) was a study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA, and thus the SESQA, is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Van Metre and Journey, 2014). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 115 water-chemistry sites sampled for the SESQA, and is one of the four fundamental geospatial data layers that were developed for the Southeast study.

Tags: alabama, ecoregions, geographic-information-systems, georgia, geospatial-analysis, geospatial-datasets, inlandwaters, national-water-quality-assessment, north-carolina, regional-stream-quality-assessment, rsqa, sesqa, south-carolina, southeast, southeast-stream-quality-assessment, study-boundary, tennessee, usgs-598a03c7e4b09fa1cb0cc924, virginia
Organization: Department of the Interior
Shallow Sediment Geochemistry in a Mercury-Contaminated Multi-Habitat Floodplain: Cache Creek Settling Basin, Yolo County, California, 2010–17

The Cache Creek Settling Basin (CCSB) is a 13.3 km2 leveed basin located at the terminal drainage of the Cache Creek watershed, immediately NE of the town of Woodland (Yolo County), California and approximately 18 km NW of Sacramento, California. The basin was constructed by the U.S. Army Corps of Engineers (completed in 1937 and modified in 1993) for the purpose of trapping suspended sediment transported from the upper Cache Creek watershed during high-flow events, thus preventing sediment from entering the Yolo Bypass, a larger downstream floodwater conveyance and agricultural zone. In addition to trapping suspended sediment, the CCSB also traps sediment-associated mercury (Hg), which is particularly elevated in the upper watershed, owing to natural Hg deposits and associated historic Hg mining areas. The CCSB is a multi-use area containing a number of habitat types that are typical of the California Central Valley region, including: open-water (stream, canal), riparian, floodplain (woody, non-woody), and agriculture (row crop fields) habitats. 
This dataset includes shallow surface sediment (top 0–2 cm interval) constituent concentration data (primarily) and microbial methylmercury production potential rate data (limited) collected between April 2010 and July 2017 from the above-noted habitats to assess spatial and temporal variations in sediment geochemistry and mercury speciation within the CCSB. The dataset is presented in two sections (child pages): one has the constituent concentration and microbial rate data, and the other includes results of habitat mapping that was conducted within the CCSB for the purpose of data analysis.

Tags: aquatic-ecosystems, basins, biogeochemistry, cache-creek-settling-basin, floodplains, mercury, methylmercury, sacramento-river-watershed, sacramentosan-joaquin-river-delta, total-maximum-daily-load-tmdl, usgs-598a2b52e4b09fa1cb0ccd6b, watershed-management, wetlands, woodland-ca, yolo-bypass, yolo-county
Organization: Department of the Interior
DDT and related compounds in pore water of shallow sediments on the Palos Verdes Shelf, CA

For nearly two and a half decades following World War II, production wastes from the world’s largest manufacturer of technical DDT were discharged into sewers of Los Angeles County. Following treatment, the wastes were released via a submarine outfall system to nearshore coastal waters where a portion accumulated in shallow sediments of the Palos Verdes Shelf (PVS).  An investigation of the pore-water geochemistry of DDT-related compounds (DDX) was undertaken in an effort to understand factors controlling the rate of reductive dechlorination (RDC) of the major DDT degradate, 4,4’-DDE.  Equilibrium matrix-solid phase microextraction (matrix-SPMEeq) combined with automated thermal desorption-gas chromatography/mass spectrometry (TD-GC/MS) was used to determine freely dissolved concentrations of ten DDX analytes in sediment cores collected from three locations on the PVS (stations 3C, 6C, 8C, which are 7 km, 2 km, and 0 km, respectively, downcurrent from the outfall system).  Pore-water concentrations (ng/L) of the principal DDX compounds involved in RDC were: 3C-DDE: 1.9-7.7, DDMU: 3.1-46, DDNU: 0.45-17; 6C-DDE: 1.8-54, DDMU: 1.6-50, DDNU: 0.42-22; 8C-DDE: 8.7-67, DDMU: 8.7-114, DDNU: 1.4-22.  Variations in the spatial distribution of DDX analytes in pore water reflect several factors including proximity to the outfalls, RDC reaction rates, and natural variability in sedimentation and post-depositional transport processes.  A comparison of pore-water data produced using matrix-SPMEeq/TD-GC/MS and whole-core squeezing/solvent extraction/liquid injection-GC/MS indicates that the majority of the DDE in the upper sediment column (≤ about 10 cm) is associated with dissolved/colloidal organic matter.  Below that depth, freely-dissolved DDE predominates.  The principal organic geochemical phase controlling sorption of DDE in PVS sediments are residual hydrocarbons, the vast majority of which originated from petroleum refinery wastes.  Organic carbon-normalized sediment-water distribution coefficients (KOC) were calculated from solid-phase and pore-water measurements of DDX and organic carbon.  Log KOC values (L/kg) were relatively invariant across the shelf and with depth in the sediment column.  Shelf-wide compound-specific coefficients were: DDE: 7.5 ± 0.11, DDMU: 6.92 ± 0.13, DDNU: 6.37 ± 0.19.  The spatial uniformity of KOC means that biological exposure and availability of the DDX compounds can, in principle, be estimated from solid-phase chemical measurements.

Tags: geochemical-processes, sediment-geochemistry, usgs-598affade4b09fa1cb0eac15
Organization: Department of the Interior
Matched ecological assessment and stream gaging data for the CONUS

Ecological assessment data from the USGS National Water-Quality Assessment Program and the USEPA National River and Stream Assessment were reviewed and records were retained from sampling sites co-located with active USGS stream gages.  A limited amount of ancillary data, including location, physical watershed features, and basic water chemistry data for each site were also retained.

Tags: biological-diversity, stream-gage-measurement, usgs-598b2e69e4b09fa1cb0eac7e
Organization: Department of the Interior
Watershed Boundaries for the U.S. Geological Survey Southeast Stream Quality Assessment

In 2015, the second of several Regional Stream Quality Assessments (RSQA) was done in the southeastern United States. The Southeast Stream Quality Assessment (SESQA) was a study by the U.S. Geological Survey (USGS) National Water Quality Assessment (NAWQA) project. One of the objectives of the RSQA, and thus the SESQA, is to characterize the relationships between water-quality stressors and stream ecology and subsequently determine the relative effects of these stressors on aquatic biota within the streams (Van Metre and Journey, 2014). To meet this objective, a framework of fundamental geospatial data was required to develop physical and anthropogenic characteristics of the study region, sampled sites and corresponding watersheds, and riparian zones. This dataset represents the 115 water-chemistry sites sampled for the SESQA, and is one of the four fundamental geospatial data layers that were developed for the Southeast study.

Tags: alabama, basin, boundaries, drainage-area, drainage-basin, geographic-information-systems, georgia, geospatial-analysis, geospatial-datasets, inlandwaters, national-water-quality-assessment, north-carolina, regional-stream-quality-assessment, rsqa, sesqa, south-carolina, southeast-stream-quality-assessment, tennessee, usgs-598a032de4b09fa1cb0cc91c, virginia, watershed, watershed-boundary
Organization: Department of the Interior
Generalized lithology for the conterminous United States

This data release contains geospatial and tabular data associated with generalized lithologic classes (rocktypes) as reassigned from the USGS state map compilation for the conterminous United States.
The dataset consists of one shapefile with associated metadata:
geol_poly_albers_anning.shp: polygons of generalized lithologic classes for the conterminous United States
And one table with associated metadata:
geol_poly_rocktypes.dbf: highly specific state-scale lithologic classes from the USGS state map compilation and generalized lithologic classes (rocktypes)

Tags: geologic-history, geologic-maps, geoscientificinformation, rocks-and-deposits, usgs-598b471de4b09fa1cb0eacfd
Organization: Department of the Interior
Subduction zone boundaries used in the 2017 USGS seismic hazard model for South America

A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey.  These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults.
This data set represents the subduction zone boundariess used in the 2017 USGS seismic hazard model for South America.

Tags: argentina, bolivia, brazil, chile, colombia, earthquake, ecuador, fault, french-guiana, guyana, hazard, panama, paraguay, peru, risk, seismic, south-america, suriname, trinidad-and-tobago, uruguay, usgs-598b4b56e4b09fa1cb0ead02, venezuela
Organization: Department of the Interior
Quagga mussel spawning and fertilization success in laboratory bioassays under exposure to cyanobacteria, 2014-2016

Laboratory bioassays were conducted between 2014-2016 at Wayne State University in cooperation with USGS to determine if different species of cyanobacteria influence quagga mussel spawning and fertilization success.  The data describes the algal cultures tested and their density/concentration, the number of individuals tested, and the spawning and fertilization success of quagga mussels exposed to the cyanobacteria and those that were not (control).

Tags: algae, biota, bivalvia, cyanobacteria, dreissena-bugensis, invasive-species, reproduction, usgs-598b731de4b09fa1cb0eadcf
Organization: Department of the Interior
Phytoplankton Species Composition, Abundance and Cell Size in San Francisco Bay: Microscopic Analyses of USGS Samples, beginning in 2014 (ver. 2.0, April 2019)

This Data Release makes available measurements of phytoplankton species composition, abundance and cell size made on samples collected in San Francisco Bay (CA) from January 2014 through December 2018.  Whole water phytoplankton samples were collected at least monthly at fixed sampling stations along a 145-km transect where the variability of salinity, temperature, turbidity and nutrient concentrations reflected a broad range of environmental factors that regulate phytoplankton growth and abundance. A map and table of sampling locations are included in this Data Release. Immediately after samples were collected, they were preserved with acid Lugol’s solution. The samples were analyzed by BSA Environmental Services, Inc following the McNabb (1960) filter method. Following standard methods, at least 400 natural units (colonies, filaments, and unicells) were enumerated to the lowest possible taxonomic level from each sample. In 2014 and 2015, abundances were estimated by random field counts with at least 100 cells of the most numerous taxon counted. From 2016 onward, the 400 natural unit tally was met using two separate random field count efforts: (1) at least 100 natural units of organisms smaller than or equal to 5 μm were identified and enumerated; and (2) at least 300 natural units of organisms larger than 5 μm were identified and enumerated. The 2016 method was adopted to maximize detection of large but rare cells. For all data, cell volumes for each taxon were estimated with the formulas for solid geometric shapes that most closely matched the cell shape according to Hillebrand et al. (1999). Cell volume calculations were based on measurements of up to ten organisms for the most abundant taxa. The Biovolume (cubic microns per ml) of each taxon was computed as the product of abundance (cells per ml) and cell volume (cubic microns per cell).  In order to assess replication of results, 10 duplicate samples were collected and analyzed in 2017 and are reported here. 
Hillebrand, H., Dürselen, C.-D., Kirschtel, D., Pollingher, U. and Zohary, T. 1999. Biovolume Calculation for Pelagic and Benthic  
Microalgae. Journal of Phycology, 35: 403–424. doi:10.1046/j.1529-8817.1999.3520403.x 
McNabb, C. D. 1960. Enumeration of freshwater phytoplankton concentrated on the membrane filter. Limnol. Oceanog., 5: 57-61.

Tags: california, diatom, dinoflagellate, estuary, microalgae, microscopy, phytoplankton, san-francisco-bay, taxonomy, usgs-598b755de4b09fa1cb0eadd9
Organization: Department of the Interior
Coastal California San Francisco Gartersnake Capture-Mark-Recapture Data (2008-2013)

These data are multi-state capture histories of 273 individual San Francisco gartersnakes collected at a site before and after a portion of the site was burned. Data collection began in 2008 and continued until 2013, and the prescribed fire was applied in the fall of 2010.

Tags: capture-mark-recapture, capturing-animals, controlled-fires, endangered-species, population-dynamics, survival, usgs-59a06fc7e4b038630d03062f
Organization: Department of the Interior
Bathymetry on the East Fork White River at Columbus, Indiana, March 29-30 and April 13, 2017

These data are bathymetry (river bottom elevation) in XYZ format, generated from the March 29-30, 2017 and April 13, 2017, bathymetric survey of the East Fork White River at Columbus, Indiana. The bathymetry was collected from approximately the confluence of Driftwood and Flatrock rivers, downstream to the confluence of Haw Creek. Hydrographic data were collected using an acoustic Doppler current profiler (ADCP) with integrated Differential Global Positioning System (DGPS). Data were collected as the surveying vessel traversed the river, approximately perpendicular to the velocity vectors at 55 cross sections which were spaced 200 feet apart along the river. Additional cross sections were collected upstream and downstream of the low-head dam in Columbus, Indiana, as well. Data collection software integrated and stored the depth and DGPS data from the ADCP. Real-time kinematic GPS was collected at each cross section recording the water-surface elevation. Data processing required computer software to extract bathymetry data from the raw data files and to compile the information. The final csv file contains columns of Longitude and Latitude in degrees WGS84, and Elevation in feet NAVD88.

Tags: adcp, bathymetry, columbus, east-fork-white-river, indiana, sonar, sonar-methods, united-states, usgs-598c6730e4b09fa1cb100dde, xyz
Organization: Department of the Interior