AndreaBozzo/ceres-open-data-index huggingface dataset:
Initial and Future Marsh Productivity Conditions Under Three Sea-Level Rise Scenarios (Intermediate-Low, Intermediate, and Intermediate-High) from 2020 to 2100 in the Apalachicola-Big-Bend Region

Using the Hydro-MEM (Hydrodynamic-Marsh Equilibrium Model) (Alizad and others, 2016a; 2016b), the wetlands system within the Apalachicola-Big-Bend (ABB) region of Florida (FL) was assessed using initial and three sea-level rise (SLR) scenarios from the National Oceanic and Atmospheric Administration (NOAA) (Sweet and others, 2017). The initial (init) scenario represents the present conditions in the year 2020. The intermediate-low (int-low) scenario projects 50 centimeters (cm) of SLR by 2100, the intermediate (int) scenario projects 1 meter (m) of SLR by 2100, and the intermediate-high (int-high) scenario projects 1.5 m of SLR by 2100. Hydro-MEM input data includes elevation, tidal forcings, river inflow, and field-collected parameters and couples a hydrodynamic and biological model to capture feedback processes in the wetland system. The model incorporates a spatially-varying marsh parabola parametrization and considers SLR-induced salinity intrusion proxy in the system (Alizad and others, 2022b). This data release (Alizad and others, 2022a) includes the initial and future conditions under three SLR scenarios and model outputs of marsh productivity, which is based on biomass density (Alizad and others, 2016a). For further information regarding model input generation and visualization of model output, refer to Alizad and others (2016a).

Tags: apalachicola, coastal-processes, ecological-processes, ecosystem-resilience, florida, geoscientificinformation, gulf-of-mexico, marsh-evolution, modeling, oceans, sea-level-change, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-f119b0c2-8986-48a8-8773-724db44d7281
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on July 25, 2019, from Jensen Beach, Florida

On July 25, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jensen Beach, Florida. This dataset, Jensen_20190725.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-f13fe07c-b4b6-4f71-9925-df06505ae744
Organization: Department of the Interior
Chenier_Plain_2017_SBB_200m_DEM_metadata: Nearshore Single-Beam Bathymetry XYZ Data Collected in 2017 from the Chenier Plain, Louisiana

As a part of the Barrier Island Comprehensive Monitoring Program (BICM), scientists from the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted a nearshore single-beam bathymetry survey along the Chenier Plain, Louisiana from Marsh Island to Sabine Pass. The goal of the BICM program is to provide long-term data on Louisiana's coastline and use this data to plan, design, evaluate, and maintain current and future barrier island restoration projects. The data described in this metadata record will provide baseline bathymetric information for future research investigating island evolution, sediment transport, recent- and long-term geomorphic change and will support modeling of future changes in response to restoration and storm impacts. Over 3,300-line kilometers of single-beam data were acquired during two field missions: USGS Field Activity numbers (FAN) 2017-323-FA, conducted June 2-14, and 2017-324-FA, which occurred July 8-16, 2017 aboard four separate survey vessels. The final x,y,z data are provided in the native World Geodetic System of 1984 (WGS84) G1150 acquisition format (which is equivalent to the International Terrestrial Reference Frame of 2000 [ITRF00]), with values ranging from -26.62 m to -56.83m ellipsoid height, as well as the North American Datum of 1983 (NAD83) reference frame and the North American Vertical Datum of 1988 (NAVD88) GEOID12A , with values ranging from 0.00 to -30.13 m .

Tags: 2017-323-fa, 2017-324-fa, barrier-island-comprehensive-monitoring-program, bathymetry, benchmark, bicm, calcasieu, caris, digital-elevation-models, elevation, field-monitoring-stations, geophysics, geoscientificinformation, grand-chenier, gulf-of-mexico, hips-and-sips, hydrography, imagerybasemapsearthcover, louisiana, marine-geology, oceans, sabine-pass, single-beam-bathymetry, single-beam-echo-sounder, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, usgs, usgs-f15e138b-3eb6-4bac-8bd8-2428be29e8bd, west-central-louisiana-coastal
Organization: Department of the Interior
Airborne geophysical survey: Rampart-Manley

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-f1605391-aed2-43a3-91ff-876e4b9f8e44
Organization: Department of the Interior
Data-Collection Points Along Transects and Around Perimeter at Upper Gar Lake, Dickinson County, Iowa

Point coverage of bathymetry data for Upper Gar Lake in Dickinson Co., Iowa. 
The U.S. Geological Survey conducted a bathymetric survey of Upper Gar Lake 
in 2004.

Tags: bathymetry, contours, dickinson-county, environment, geoscientificinformation, hydrology, inlandwaters, iowa, lakes, upper-gar-lake, usgs, usgs-f164142c-54dd-4322-b493-9d7d56a4a1f5
Organization: Department of the Interior
u771pr.m77t - MGD77 data file for Geophysical data from field activity 71007 (U-7-71-PR) in Puerto Rico from 12/11/1971 to 12/15/1971

Single-beam bathymetry data along with transit satellite navigation data was collected as part of field activity 71007 (U-7-71-PR) in Puerto Rico from 12/11/1971 to 12/15/1971, http://walrus.wr.usgs.gov/infobank/u/u771pr/html/u-7-71-pr.meta.html
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/u/u771pr/html/u-7-71-pr.bath.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, caribbean-sea, distributions, geoscientificinformation, magnetic-anomolies, marine-geology, marine-geophysics, marine-gravity-field, marine-magnetic-field, oceans, puerto-rico, seafloor-topography, single-beam-echo-sounder, usgs-f16e8660-f983-4adc-91b1-e82c05a565cb, water-depth
Organization: Department of the Interior
l978hw.m77t - MGD77 data file for Geophysical data from field activity L-9-78-HW in Hawaii from 10/12/1978 to 10/19/1978

Single-beam bathymetry, magnetics, and gravity data along with transit satellite navigation data was collected as part of field activity L-9-78-HW in Hawaii from 10/12/1978 to 10/19/1978, http://walrus.wr.usgs.gov/infobank/l/l978hw/html/l-9-78-hw.meta.html
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/l/l978hw/html/l-9-78-hw.bath.html http://walrus.wr.usgs.gov/infobank/l/l978hw/html/l-9-78-hw.grav.html http://walrus.wr.usgs.gov/infobank/l/l978hw/html/l-9-78-hw.mag.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, central-pacific-ocean, distributions, geoscientificinformation, gravimeter-measurement, gravimetry, hawaii, hawaii-i-eez, hawaiian-islands-humpback-whale-national-marine-sanctuary, hw, magnetic-field-observations, magnetometer-measurement, marine-geology, marine-geophysics, marine-gravity, marine-magnetics, marine-seismic, north-pacific-ocean, northern-pacific-ocean, oceans, seafloor-topography, single-beam-bathymetry, single-beam-echo-sounder, usa, usgs-f17aab21-13df-4b07-a757-ba79361907ad, water-depth
Organization: Department of the Interior
Airborne geophysical survey: Bellingham, Washington

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, bellingham, f53009-clallam, f53055-san-juan, f53057-skagit, f53073-whatcom, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, total-field, united-states, usgs-f17c3891-949c-4d21-87fd-94c4a3a17707, wa, washington
Organization: Department of the Interior
Shasta Power Plant Unit 4 Monthly Power Plant Unit Gross Generation-kwH Timeseries Data

Values per Facilities, Instructions, Standards, and Techniques (FIST) Vol 1 - 2. Note: Data are reported at a monthly time step. Although values are dated as the first of each month, they represent the end of month value for that month (e.g. value dated April 1 is the April end of month total/sum).   https://www.usbr.gov/power/data/fist_pub.html

Tags: hydropower-generation, inland-waters
Organization: Department of the Interior
Shorelines of the Cape Cod coastal region from Provincetown to the southern end of Monomoy Island, Massachusetts, used in shoreline change analysis (CapeCod_shorelines.shp)

Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate.  Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion.  As a result, there is an increased demand for accurate information regarding past and present shoreline changes.  To meet these national needs, the Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) is compiling existing reliable historical shoreline data along open-ocean sandy shores of the conterminous United States and parts of Alaska and Hawaii under the National Assessment of Shoreline Change project.  
There is no widely accepted standard for analyzing shoreline change.  Existing shoreline data measurements and rate calculation methods vary from study to study and prevent combining results into state-wide or regional assessments.  The impetus behind the National Assessment project was to develop a standardized method of measuring changes in shoreline position that is consistent from coast to coast.  The goal was to facilitate the process of periodically and systematically updating the results in an internally consistent manner.

Tags: atlantic-coast, chatham, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, continental-island-shore-complex, csc, digital-shoreline-analysis-system, dsas, effects-of-coastal-change, endpoint-rate, environment, erosion, geoscientificinformation, gulf-of-maine-bay-of-fundy-ecoregion, linear-regression-rate, ma-czm, massachusetts, massachusetts-coastal-zone-management, monomoy, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, new-england, noaa, oceans, provincetown, shoreline-accretion, shoreline-change-rate, shoreline-erosion, truro, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, usace, usgs, usgs-f18e0825-626a-4c8e-bf5f-d43a3fe9abbf, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2012 Post-Hurricane Sandy Fire Island, New York Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2012 Post-Hurricane Sandy Fire Island lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: atlantic-ocean, cmgp, coastal-and-marine-geology-program, coastal-processes, elevation, environment, geoscientificinformation, hazards, marine-geology, new-york, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-f1b575a8-4c32-4f0b-bc2a-5a5cdc5edc5d
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Raster surface depicting the top of the Bucatunna clay confining unit

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains a gridded surface 
depicting the top of the Bucatunna clay confining unit feet relative to NGVD29.

Tags: alabama, altitude, bucatunna, clay, confining-unit, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, raster, regional-groundwater-availability-study, south-carolina, stratigraphy, top, united-states-geological-survey, usgs, usgs-f1ddeaaa-150f-42bd-9e8e-c9c25993ada7
Organization: Department of the Interior
Polyline shapefile of a portion of the 1-meter (m) contours in quadrangle 6 of the Stellwagen Bank Survey Area offshore of Boston, Massachusetts necessary to show small features not displayed by 5-m contours - based on bathymetry data collected by the U.S. Geological Survey from 1994-1996 (Geographic, NAD 83)

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration's National Marine Sanctuary Program, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary region since 1993. The area is approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. Seven maps, at a scale of 1:25,000, of quadrangle 6 (211 km2) depict seabed topography, backscatter, ruggedness, geology, substrate mobility, mud content, and areas dominated by fine-grained or coarse-grained sand. Interpretations of bathymetric and seabed backscatter imagery, photographs, video, and grain-size analyses were used to create the geology-based maps. In all, data from 420 stations were analyzed, including sediment samples from 325 locations. The seabed geology map shows the distribution of 10 substrate types ranging from boulder ridges to immobile, muddy sand to mobile, rippled sand. Substrate types are defined on the basis of sediment grain-size composition, surficial morphology, sediment layering, and the mobility or immobility of substrate surfaces. This map series is intended to portray the major geological elements (substrates, features, processes) of environments within quadrangle 6. Additionally, these maps will be the basis for the study of the ecological requirements of invertebrate and vertebrate species that utilize these substrates and guide seabed management in the region.

Tags: atlantic-ocean, bathymetry, boston-massachusetts, cmgp, coastal-and-marine-geology-program, contouring, contours, elevation, esri-polyline-shapefile, geospatial-datasets, massachusetts, massachusetts-bay, north-america, oceans, quadrangle-6, scientific-investigations-map-3341, sea-floor-characteristics, sea-floor-topography, stellwagen-bank, stellwagen-bank-national-marine-sanctuary, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-f1e61623-e423-406c-b83e-9592c5e84303, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Average tree regrowth time of CONUS from 1985 to 2017

We developed a 30-m spatial resolution forest regrowth time map for CONUS over 1985–2017. This map is the first attempt, as far as we know, to quantify tree regrowth rate at a national extent in the United States. The method used all available Landsat images to detect disturbances over forest lands and classify grass/shrub to tree class transitions on an annual basis. The average regrowth time was then calculated for each pixel that experienced tree regrowth process. The regrowth map was validated with independent reference data, showing average one-year of difference and 6-year standard deviation difference in the national tree regrowth time. The southeast is a major tree regrowth region where our map also showed higher accuracy with less than one-year average difference and 3.6 years standard deviation. The satellite-estimated regrowth time of major forest types agreed well with the reference data.

Tags: biota, landsat, lcmap, tree-regrowth, usgs-f1e81f13-edf5-4bd3-89c7-16e4400d42b3
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on June 22, 2021, from Jupiter Island, Florida

On June 22, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210622.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-f2066e43-0c7e-4c62-a673-9ce77c33027e
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Key well sites

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains key wells used in the 
study.

Tags: alabama, cross-section, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, regional-groundwater-availability-study, south-carolina, stratigraphy, united-states-geological-survey, usgs, usgs-f22640b0-8d50-44d6-9d01-4aef3d3cb501, wells
Organization: Department of the Interior
Chincoteague Bay surface sediment physical parameters data from the spring and fall sampling trips of 2014

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, located between Assateague Island and the Delmarva Peninsula in March/April 2014 (2014-301-FA) and October 2014 (2014-322-FA). The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with hydrodynamic and sediment transport models in order to evaluate pre- and post-storm (Hurricane Sandy) change. This report serves as an archive for sedimentological data derived from the surface sediment. Data are available for a seasonal comparison between March/April 2014 and October 2014. Downloadable data are available as Excel spreadsheets (sediment samples) and as JPEG files (maps). Additional files include: detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).

Tags: april-2014, assateague-island, chincoteague-bay, dry-bulk-density, lagoon, loss-on-ignition, march-2014, maryland, october-2014, physical-parameters, porosity, sediment, surface, toms-cove, u-s-geological-survey, u-s-geological-survey-st-petersburg-coastal-and-marine-science-center, usgs, usgs-f22f8c53-3b78-4b3c-85ea-b89d707c1b32, virginia, water-content
Organization: Department of the Interior