AndreaBozzo/ceres-open-data-index huggingface dataset:
DisOcean: Distance to the ocean: Cedar Island, VA, 2010

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cedar-island, cmgp, coastal-and-marine-geology-program, coastal-habitat, delmarva-peninsula, environment, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc8d2e4b0941bde4fc593, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Aqueous and solid phases partitioning of elemental constituents associated with Marcellus Shale Energy and Environment Laboratory (MSEEL) gas well produced wastewater, Morgantown, WV, 2016 – 2019

The Marcellus Shale Energy and Environment Laboratory (MSEEL) is a long-term field site and laboratory at the Northeast Natural Energy LLC (NNE) production facility, adjacent to the Monongahela River, located in western Monongalia County, West Virginia, USA. NNE began drilling two horizontal production wells, MIP (Morgantown Industrial Park) -5H and MIP-3H, in the Marcellus Shale in 2014. The wells were completed in December 2015. Large volumes of wastewater are generated with natural gas production. These wastewaters contain organic and inorganic chemical constituents from fracturing fluids used during drilling and stimulation of gas in host rocks/shale, as well as chemical compounds that are derived from formation water and the solid shale. Many of the organic and inorganic substances in the wastewater are potentially toxic and could pose an environmental risk if released due to spills, leaks, or unsafe disposal practices.
An on-site storage tank and a separator tank (MIP-5H), both containing produced wastewater, were sampled from 2015 through 2019. The storage tank received wastewater from multiple wells (not just MIP-5H). The data associated with the chemical conditions of these two tanks, at the time of sampling, have been previously published in a companion data release (https://doi.org/10.5066/P9Q3Y16S).
The current data release reports on a sub-set of produced water samples co-collected from the above-mentioned storage and separator tanks during the 2016-2019 period, which were reserved for explicit experiments and analyses associated with detailed geochemical characterization of both the solid phase and dissolved fractions. The eleven machine readable data files (*.csv format) provided herein, and the description of the data contained in each, are described in the Entity and Attribute section (xml tag 'eainfo') of this metadata file.

Tags: aluminum, arsenic, barium, boron, cadmium, calcium, chemical-analysis, chromatography, chromium, cobalt, copper, dissolved-metals, dissolved-organic-compounds, environment, geochemistry, hydraulic-fracturing, iron, isotope-geochemistry, isotopic-analysis, laboratory-experiments, laboratory-methods, lead, lithium, magnesium, manganese, mercury, molybdenum, morgantown, mseel-marcellus-shale-energy-and-environment-laboratory, natural-gas-resources, nickel, phosphorus, potassium, selenium, silicon, sodium, strontium, sulfur, suspended-material-water, thallium, toxic-trace-element-contamination, uranium, usgs-5d0bb9c2e4b0e3d3116204dc, vanadium, water-chemistry, water-ph, water-properties, water-temperature, west-virginia, zinc
Organization: Department of the Interior
Land cover map including wetlands and invasive Phragmites circa 2017

The first basin-wide map of large stands of invasive Phragmites australis (common reed) in the coastal zone was created through a collaboration between the U.S. Geological Survey and Michigan Tech Research Institute (Bourgeau-Chavez et al 2013). This data set represents a revised version of that map and was created using multi-temporal PALSAR data and Landsat images from 2016-2017. In addition to Phragmites distribution, the data sets shows several land cover types including urban, agriculture, forest, shrub, emergent wetland, forested wetland, and some based on the dominant plant species (e.g., Schoenoplectus, Typha). The classified map was validated using over 400 field visits.

Tags: imagerybasemapsearthcover, invasive-species, land-use-and-land-cover, usgs-5d0bb792e4b0e3d3116204c4, wetlands
Organization: Department of the Interior
Annual peak-flow data and PeakFQ output files for selected streamflow gaging stations operated by the U.S. Geological Survey in the New England region that were used to estimate regional skewness of annual peak flows

"NewEngland_pkflows.PRT" is a text file that contains results of flood-frequency analysis of annual peak flows from 186 selected streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in the New England region (Maine, Connecticut, Massachusetts, Rhode Island, New York, New Hampshire, and Vermont).  Only streamgages in the region that were also in the USGS "GAGES II" database (https://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml) were considered for use in the study.  The file was generated by combining PeakFQ output (.PRT) files created using version 7.0 of USGS software PeakFQ (https://water.usgs.gov/software/PeakFQ/; Veilleux and others, 2014) to conduct flood-frequency analyses using the Expected Moments Algorithm (England and others, 2018).  The peak-flow files used as input to PeakFQ were obtained from the USGS National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/usa/nwis/peak) and contained annual peak flows ending in water year 2011.  Results of the flood-frequency analyses were used to estimate skewness of annual peak flows in the New England region using Bayesian Weighted Least Squares / Bayesian Generalized Least Squares (B-WLS / B-GLS) regression (Veilleux and others, 2019).

Tags: bayesian-regression, bulletin-17b, connecticut, ema, expected-moments-algorithm, flood-frequency, great-lakes-region-2-digit-hydrologic-unit-code-04, maine, massachusetts, mid-atlantic-region-2-digit-hydrologic-unit-code-02, new-england-region-2-digit-hydrologic-unit-code-01, new-hampshire, new-york, peakfq, regional-skew, rhode-island, usgs-5d0ba669e4b0e3d3116203d8, vermont
Organization: Department of the Interior
Mean tidal range in marsh units of Jamaica Bay to western Great South Bay salt marsh complex, New York

This data release contains coastal wetland synthesis products for the geographic region from Jamaica Bay to western Great South Bay, located in southeastern New York State. Metrics for resiliency, including unvegetated to vegetated ratio (UVVR), marsh elevation, and mean tidal range, are calculated for smaller units delineated from a Digital Elevation Model, providing the spatial variability of physical factors that influence wetland health.  Through scientific efforts initiated with the Hurricane Sandy Science Plan, the U.S. Geological Survey has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands with the intent of providing Federal, State, and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. 
   

Tags: atlantic-ocean, coastal-ecosystems, coastal-processes, environment, estuary, geospatial-datasets, inlandwaters, jamaica-bay, long-term-ecological-research, lter, marsh-health, nassau-county, new-york, oceans, queens-county, salt-marsh, south-oyster-bay, tidal-range, tides-oceanic, united-states, usgs-5d0abdc7e4b0e3d311601adb, vegetation, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Time-series oceanographic data collected from reef flat and lagoon sediment dynamics packages in 2016 off Jurabi Point, Ningaloo Reef, Western Australia

Time series data of water surface elevation, wave height, water column currents and temperature, and suspended sediment were acquired for 6 weeks on a coral reef off Jurabi Point, Ningaloo Coast UNESCO World Heritage site in Western Australia in support of a study on the circulation and sediment transport patterns of these reefs.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, conductivity, coral-reefs, density, geoscientificinformation, jurabi-coastal-park, jurabi-point, marine-water-quality, ningaloo-marine-park, ocean-currents, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pycnocline, thermocline, time-series-datasets, u-s-geological-survey, usgs, usgs-5d0aa29be4b0e3d311601a5a, water-column-features, water-temperature, western-australia
Organization: Department of the Interior
Community sourced mid-Piacenzian sea surface temperature (SST) data

This data set collects, from peer-reviewed research, values of sea surface temperature (SST) that occurred at various sites across the Earth during a brief period of the mid-Piacenzian

Tags: arctic-ocean, atlantic-ocean, indian-ocean, pacific-ocean, paleoclimatology, paleoecology, paleogeography, pliocene, sea-surface-temperature, southern-ocean, usgs-5d0a7ac8e4b0e3d3115ff62b
Organization: Department of the Interior
Data for Time Scales of Arsenic Variability and the Role of High-Frequency Monitoring at Three Water-Supply Wells in New Hampshire, USA

This data release consists of data (in four tables) for assessing the time scales of arsenic variability in three production wells in New Hampshire; tables that describe the data fields in the data tables are also included in the data release. High-frequency (every 5 to 15 minutes) and bi-monthly water-quality monitoring of a bedrock-aquifer domestic well (425651070573701), a bedrock-aquifer public-supply well (425400070545401), and a glacial-aquifer public-supply well (425311070535801) was completed between 2014 and 2018. Concentrations of arsenic and other geochemical constituents and dissolved gases, as tracers of groundwater age, were measured on a bimonthly basis; physicochemical data, including specific conductance, pH, dissolved oxygen, pumping rate, and water level were measured at high-frequency intervals (every 5 to 15 minutes).
Attached Files:
Table_1_DGmodel2014-18.xlsx: Detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, nitrogen, oxygen, carbon dioxide, methane, hydrogen, and nitrous oxide).
Table_2_Tracers2014-18.xlsx: Detailed information on calculations of environmental tracer data. 
Table_3_TracerLPM2014-18.xlsx: Dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, carbon-14, and chlorofluorocarbons [CFCs], and results for the mean age of groundwater by calibration of lumped parameter models to tracer concentrations. 
Table_4_ConcentrationsValues2014-18.xlsx: Values of selected physiochemical parameters collected during well purging and selected chemical concentrations from filtered samples collected on various dates at each well; includes physical characteristics, depth to water, and pumping rate, calculated from continuous data.

Tags: arsenic, bedrock-aquifer, cycle-3, glacial-aquifer, groundwater, groundwater-age, groundwater-geochemistry, groundwater-quality, kensington-new-hampshire, nawqa, new-england, new-england-coastal-basins, new-hampshire, noble-gases, rockingham-county-new-hampshire, seabrook-new-hampshire, usgs-5d0a2c07e4b0e3d3115de4cb, water-quality, water-supply
Organization: Department of the Interior
AEM processed survey data, Shellmound, Mississippi, March 2018

Airborne electromagnetic (AEM), magnetic, and radiometric data were acquired in late February to early March 2018 along 2,364 line-kilometers in the Shellmound, Mississippi study area.  Data were acquired by CGG Canada Services, Ltd. with three different helicopter-borne sensors: the CGG Canada Services, Ltd. RESOLVE frequency-domain AEM instrument that is used to map subsurface geologic structure at depths up to 100 meters, depending on the subsurface resistivity; a Scintrex CS-3 cesium vapor magnetometer that detects changes in deep (hundreds of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations; and a Radiation Solutions RS-500 spectrometer that detects the abundance of natural radioelements potassium, uranium, and thorium in the upper 20-30 cm that is used to determine differences in soil constituents. The survey was flown at an average sensor flight height of 30 m above terrain to form block-style coverage with 250 to 1,000-meter spaced east-west flight lines. This data release includes the averaged and culled AEM data along all flight lines that were used to produce the final resistivity models (https://www.sciencebase.gov/catalog/item/5ca6a4e6e4b0c3b0064c2c2b). Digital data of the processed soundings are provided and fields are defined in the data dictionary (https://www.sciencebase.gov/catalog/item/5d0814b9e4b0e3d3115bdab6). 
An important driver for this survey is a managed aquifer recharge pilot project developed by the U.S. Department of Agriculture Agricultural Research Service investigating the use of bank filtration along the Tallahatchie River as a source for recharge in areas of significant groundwater decline by direct injection into the Mississippi River Valley Alluvial Aquifer (MRVA).  Understanding the structure of the aquifer, including both shallow and deep confining units, is important for the success of this pilot engineering study and will be even more important for potential future large-scale engineering projects and groundwater model development efforts.
REFERENCES
U.S. Geological Survey, The National Map, 2017, 3DEP products and services: The National Map, 3D Elevation Program Web page, accessed October 2018 at https://nationalmap.gov/3DEP/3dep_prodserv.html.

Tags: aeromagnetic-surveying, aeroradiometric-surveying, electromagnetic-surveying, electromagnetics, engineering-sciences, environment, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, greenwood, groundwater, hydrogeology, leflore-county, magnetic-anomaly-maps, magnetic-field, magnetics, mississippi, mississippi-alluvial-plain, mississippi-river-valley-alluvial-aquifer, mrva, radiometrics, resistivity, shellmound, sunflower-county, tallahatchie-river, usgs-5d0814b9e4b0e3d3115bdab6, water-resources
Organization: Department of the Interior
Bottom Hardness and Surficial Substrate Composition of Fish Spawning Reefs in the St. Clair-Detroit River System from 2012 - 2018

This data set contains bottom hardness and surficial substrate compositions measured as part of a study evaluating the maturation of fish spawning reef restoration projects in the St. Clair-Detroit River System. Five spawning reef complexes (Middle Channel, Harts Light, Pointe Aux Chenes, Grassy Island, and Belle Isle) constructed with 10-20 cm broken limestone from 2012-2016 were evaluated as part of the study. Sonar surveys began in 2012, following the construction of the Middle Channel Reef complex and expanded to additional projects, as they were completed (Harts Light and Pointe Aux Chenes Reefs in 2014, Grassy Island Reef in 2015, and the Belle Isle Reef complex in 2016). Sonar surveys over the Fighting Island Reefs (constructed in 2008 and expanded in 2013) also began in 2015. Sonar surveys were conducted yearly along multiple transects oriented parallel with flow and spaced 5-10 m apart. A Humminbird 998c SI sonar unit was used during all sonar surveys. Sonar data were processed in the  BT+SS edition of DrDepthPC v5.1.8 using the bottom type toolkit to calculate bottom hardness, an index of substrate type, with lower values corresponding to finer substrates. Annual underwater video surveys began in 2015, following the construction of the Harts Light and Pointe Aux Chenes Reefs and expanded to include the Middle Channel and Grassy Island Reefs in 2016 and Belle Isle Reef complex in 2017. Underwater video data also includes surveys of other reefs and sites that were not included in the reef maturation study. Video was recorded at each site along two transects to quantify surficial sediment composition at reef sites and adjacent areas. Sediment classification was based on a modified Wentworth scale, with sediments less than 2 mm classified as fines, sediments 2-100 mm classified as gravel, sediments &gt; 100 mm classified as reef rock (reefs were constructed with 100-200 mm limestone), and dreissenid mussels and shells identified by their distinct shape and coloration. A cutoff of 100 mm was used to segregate gravel and coarse sediment to capture the proportion of reef rock (100-200 mm) present in the video frames.

Tags: anthropogenic-rock-reef-substrate, artificial-reef, belle-isle, detroit-river, fighting-island, grassy-island, harts-light, inlandwaters, mazlinkas, michigan, middle-channel-saint-clair-river, pointe-aux-chenes, remediation, river, saint-clair-river, st-clair-detroit, usgs-5d07fb28e4b0e3d3115bd9cb
Organization: Department of the Interior
Bioblitzes facilitate non-native fish tracking and interagency partnerships data

Maintaining up-to-date information on non-native organisms’ distributions and species composition can be difficult, especially when species cross jurisdictional boundaries that require interagency coordination.  Herein I report on the use of tools that have been used in Florida over the past seven years to assist with tracking of non-native fishes. Ten Fish Slams, where professional biologists and graduate students come together to sample an area for non-native fish, have been held since 2012, which have included nearly 100 individuals from 20 organizations.  Participants have sampled nearly 200 unique sites, capturing 36 non-native fish taxa.  These activities have generated over 600 records for the U.S. Geological Survey’s Nonindigenous Aquatic Species database.  Many of the specimens collected during Fish Slams are donated to natural history museums or used by researchers.

Tags: biota, nonindigenous-species, usgs-5d07d839e4b0e3d3115bd8da
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 1-year storm in San Luis Obispo County

This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d0418f5e4b0e3d31158080c, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 ocean-currents projections: 1-year storm in San Luis Obispo County

This data contains maximum model-derived ocean currents (in meters per second) for the sea-level rise (SLR) and storm condition indicated. 
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, san-luis-obispo-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d041834e4b0e3d311580802, water-depth, waves, wind
Organization: Department of the Interior