AndreaBozzo/ceres-open-data-index huggingface dataset:
LANDFIRE 2016 Remap Annual Disturbance Guam Northern Mariana Islands

LANDFIRE's (LF) Annual Disturbance (Dist) product provides temporal and spatial information related to landscape change. Dist depicts areas that have experienced a disturbance within a given year of 4.5 hectares (11 acres) or larger, along with cause and severity. Information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC), and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), local user/agency contributed data (LF Events Geodatabase), and remotely sensed Landsat imagery. Composite Landsat image pairs from the current year, prior year, and following year are spectrally compared to determine where change occurred and its corresponding severity. Additionally, vegetation indices (Normalized Differenced Vegetation Index [NDVI] and Normalized Burn Ratio [NBR]) serve as inputs into the Multi-Index Integrated Change Algorithm (MIICA) (Jin et al. 2013); MIICA outputs and differenced products (e.g., dNDVI and dNBR) are used to locate change.  Predictive modeling based on the previous 10 years of disturbance data provides an additional dataset useful for locating disturbance.  Image analysts use the aforementioned datasets separately or in combination to isolate true change from false change (e.g., change caused by stark differences in phenology rather than a true disturbance event). The accuracy of the final product is often related to the quality of the Landsat image composite.  Areas with persistent cloud cover are particularly challenging (e.g., the northeast US). Fire caused disturbances sourced from MTBS may contain data gaps where clouds, smoke, water or Landsat Seven SLC-off stripes exist. Models trained from pre-fire and post-fire Landsat data are used to fill the gaps. The result is continuous severity and extent information for all MTBS fire disturbances. MTBS pixels derived from gap filling techniques, such as modeling, are noted as such in their corresponding attribute table. Smaller fires that do not meet the size criteria set forth by MTBS) may be attributed as a Burned Area Essential Climate Variable (BAECV), which are only produced for the lower 48 states. Causality and severity information assigned to a disturbance are prioritized by source, with the Highest priorities reserved for fire mapping programs (MTBS, BARC and RAVG) followed by user-contributed events contained in the LF Events Geodatabase, and lastly, Landsat image based change.

Tags: annual-disturbance, annual-disturbance-2016, biota, commonwealth-of-the-northern-mariana-islands, fires, geographic-information-systems, geospatial-datasets, guam, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-0ac1a2bb-15e8-447c-9e20-315e28f6a02c, yearly-disturbance
Organization: Department of the Interior
Reprocessed single channel sparker seismic reflection data offshore central California from USGS field activities S-6-08-SC and S-6-09-SC

The U.S. Geological Survey collected high-resolution single channel minisparker data between Point Sal and Piedras Blancas in 2008 and 2009 with support from the Pacific Gas and Electric (PG&amp;E) CRADA and the USGS Coastal and Marine Geology program. Reprocessing of this data in 2018 improved vertical resolution of the stratigraphy and structural deformation of the original data and was funded by an additional CRADA with PG&amp;E.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, data-processing, estero-bay, geoscientificinformation, geospatial-datasets, global-positioning-system-gps-observations, marine-geophysics, morro-bay, north-pacific-ocean, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, point-buchon, point-estero, point-piedras-blancas, point-sal, point-san-luis, san-luis-obispo-county, san-luis-obsipo-bay, san-simeon-bay, san-simeon-point, seg-y-traces, seismic-navigation, seismic-reflection, seismic-reflection-profiling, state-of-california, sub-bottom-profiling, substrate, u-s-geological-survey, usgs, usgs-0f432d00-ea4f-4bc6-aa13-8bad5466beba
Organization: Department of the Interior
Airborne geophysical survey: Southern South Carolina, South Carolina

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, charleston, f13103-effingham, f45013-beaufort, f45015-berkeley, f45017-calhoun, f45019-charleston, f45027-clarendon, f45029-colleton, f45035-dorchester, f45043-georgetown, f45049-hampton, f45051-horry, f45053-jasper, f45075-orangeburg, f45089-williamsburg, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, sc, south-carolina, southern-south-carolina, total-field, united-states, usgs-0acadf00-12fe-4a1e-aa2a-01065804858c
Organization: Department of the Interior
Airborne geophysical survey: Christmas Mountains, Texas

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, christmas-mountains, f48043-brewster, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, texas, total-field, tx, united-states, usgs-0acf7b78-24c1-4225-b2ba-93c9ab1f9d34
Organization: Department of the Interior
Cape Cod NS Saltmarsh Monitoring Database

As part of Cape Cop National Seashore's Salt Marsh Monitoring program, park staff continued to sample vegetation and nekton at sites. This file contains all data collected through the 2011 field season.

Tags: barnstable-county, biology, biota, caco, cape-cod-national-seashore, environment, massachsetts, monitoring, national-park-service, nekton, northeast-region, oceans, plants, resource-management, salt-marsh, vegetation, vital-signs, wetlands
Organization: Department of the Interior
Humboldt River main stem, Nevada

This data set contains the main stem of the Humboldt River as
defined by Humboldt Project personnel of the U.S. Geological
Survey Nevada District, 2001.  The data set was digitized on
screen using digital orthophoto quadrangles from 1994.

Tags: environment, geoscientificinformation, humboldt-river, hydrology, inlandwaters, nevada, river, stream, usgs-0b530262-ef31-435e-9977-8dd46ec12eea
Organization: Department of the Interior
Coastal Topography--Northeast Atlantic Coast, Post-Hurricane Sandy, 2012: Mean-high-water shoreline

Mean-high-water (MHW) shoreline for a portion of the New York, Delaware, Maryland, Virginia, and North Carolina coastlines were derived from lidar data collected following Hurricane Sandy (Sandy was an October 2012 hurricane that made landfall as an extratropical cyclone on the 29th). Data were produced by the U.S. Geological Survey (USGS) from remotely sensed, geographically-referenced elevation measurements collected by Photo Science, Inc. (Delaware, Maryland, Virginia, and North Carolina) and Woolpert, Inc. (Fire Island, New York) using airborne lidar sensors. Storms cause significant shoreline changes and this variation was not removed from these data, showing a highly variable MHW shoreline in many areas.

Tags: 2012, altimetry, bathymetry-and-elevation, cessna-206, cessna-310, delaware, delmarva-peninsula, dem, dhigh, digital-elevation-model, digital-elevation-models, distributions, dlow, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, dune-crest, dune-toe, elevation, extratropical-cyclone, fire-island, land-surface-gt-topography-gt-terrain-elevation, laser-altimetry, lidar, lidar-gt-light-detection-and-ranging, long-island, maryland, new-york, north-carolina, ocean-gt-coastal-processes-gt-barrier-islands, ocean-gt-coastal-processes-gt-beaches, ocean-gt-coastal-processes-gt-shoreline-displacement, post-hurricane-sandy, remote-sensing, shoreline, topographic-mapping, topography, united-states, usgs-0b56702f-d498-44f2-b849-ec9d6b06c69b, virginia
Organization: Department of the Interior
Bathymetry Hillshade--Drakes Bay and Vicinity, California

This part of DS 781 presents data for the shaded-relief bathymetry map of Drakes Bay and Vicinity, California (raster data file is included in "BathymetryHS_DrakesBay.zip," which is accessible from https://pubs.usgs.gov/ds/781/DrakesBay/data_catalog_DrakesBay.html. These data accompany the pamphlet and map sheets of Watt, J.T., Dartnell, P., Golden, N.E., Greene, H.G., Erdey, M.D., Cochrane, G.R., Johnson, S.Y., Hartwell, S.R., Kvitek, R.G., Manson, M.W., Endris, C.A., Dieter, B.E., Sliter, R.W., Krigsman, L.M., Lowe, E.N., and Chin, J.L. (J.T. Watt and S.A. Cochran, eds.), 2015, California State Waters Map Series—Drakes Bay and Vicinity, California: U.S. Geological Survey Open-File Report 2015–1041, pamphlet 36 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20151041.
The shaded-relief bathymetry map of Drakes Bay and Vicinity, California, was generated from bathymetry data collected by California State University, Monterey Bay (CSUMB), and by Fugro Pelagos. Mapping was completed between 2007 and 2010, using a combination of 200-kHz and 400-kHz Reson 7125, and 244-kHz Reson 8101 multibeam echosounders, as well as 468-kHz SEA SWATHPlus interferometric system. These mapping missions combined to collect bathymetry from about the 10-m isobath to beyond the 3-nautical-mile limit of California's State Waters.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, continental-island-shelf, distributions, drakes-bay, environment, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, interferometric-sonar, maps-and-atlases, marin-county, marine-geophysics, marine-nearshore-subtidal, marine-offshore-subtidal, multibeam-echo-sounder, northern-california-ecoregion, oceans, pacific-ocean, rock-substrate, seabed, seafloor-topography, sonar-methods, state-of-california, transform-continental-margin, unconsolidated-mineral-substrate, usgs-0f737e52-9999-487a-8929-5ad7c953abe6
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on July 20, 2021, from Melbourne Beach, Florida

On July 20, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210720.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-02950b00-9032-4357-a35c-30c47093adc4
Organization: Department of the Interior
Esri Binary floating point GRID containing bathymetry from interferometric sonar data collected by the USGS within Red Brook Harbor, MA, 2009 (rb_bathy_1m, 1-meter cell size)

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Woods Hole Coastal and Marine Science Center (WHCMSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters (5-30 m deep) of Massachusetts between the New Hampshire border and Cape Cod Bay. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/). This is the spatial dataset for the Red Brook Harbor survey area within Buzzards Bay, Massachusetts.  These data are the results of a high-resolution geophysical (bathymetry, backscatter intensity, and seismic reflection) and ground validation (sediment samples and bottom photographs) survey, conducted in 2009.
In addition to inclusion within the USGS-CZM geologic mapping effort, these Red Brook Harbor data will be used to assess the shallow-water mapping capability of the geophysical systems deployed for this project, with an emphasis on identifying resolution benchmarks for the interferometric sonar system.  (http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2009-018-FA)

Tags: atlantic-ocean, bathymetry, buzzards-bay, cape-cod, cmgp, coastal-and-marine-geology-program, elevation, esri-binary-grid, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, interferometric-sonar, interferometry, marine-geology, marine-geophysics, massachusetts, north-america, oceans, r-v-rafael, red-brook-harbor, sea-floor, sea-floor-characteristics, sea-submetrix, sea-swathplus, seafloor, surface, swath-bathymetry, u-s-geological-survey, united-states, usgs, usgs-0294ab54-6445-43cf-8a4b-eb20bc1a1640, whcmsc, whcmsc-field-activity-2009-018-fa, whcmsc-field-activity-serial-number-09018, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Autonomous Surface Vehicle Sidescan-sonar mosaic from Hotel Bar, Apalachicola Bay, Florida (ASV162.TIF)

These data were collected under a cooperative mapping program between the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration Coastal Services Center (NOAA\CSC), and the Apalachicola National Estuarine Research Reserve (NERR). The primary objectives of this program were to collect marine geophysical data to develop a suite of seafloor maps to better define the extent of oyster habitats, the overall seafloor geology of the bay and provide updated information for management of this resource. In addition to their value for management of the bay's oyster resources, the maps also provide a geologic framework for scientific research and the public.
High resolution bathymetry, backscatter intensity, and seismic profile data were collected over a 230 square kilometers of the floor of the bay. The study focused on the Apalachicola Bay and Western St. George Sound portions of the estuary mostly in depths &gt; 2.0 meters.

Tags: apalachicola-bay, apalachicola-national-estuarine-research-reserve, asv, autonomous-surface-vehicle, cmgp, coastal-and-marine-geology-program, edgetech, edgetech-4200-fs, field-activity-serial-number-06001, florida, geoscientificinformation, geospatial-datasets, geotiff-image, gulf-of-mexico, image-mosaics, imagerybasemapsearthcover, iris, marine-geology, marine-geophysics, oceans, sea-floor, sea-floor-acoustic-reflectivity, seafloor, sidescan, sidescan-sonar, u-s-geological-survey, united-states, usgs, usgs-0292d52b-4081-49ae-ba7d-9acce6566433, whsc, woods-hole-science-center
Organization: Department of the Interior
Chandler Power Plant Monthly Water for Generation-af 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
San Joaquin River Below Friant Dam At Lost Lake Park Antimony ug/L Time Series Data

Measurements of Antimony collected at San Joaquin River Below Friant Dam At Lost Lake Park. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
Sediment Texture Units of the Sea Floor from Nahant to Northern Cape Cod Bay, Massachusetts (NAH_CCB_sedcover polygon shapefile, Geographic, WGS84)

These data are qualitatively derived interpretive polygon shapefiles and selected source raster data defining surficial geology, sediment type and distribution, and physiographic zones of the sea floor from Nahant to Northern Cape Cod Bay. Much of the geophysical data used to create the interpretive layers were collected under a cooperative agreement among the Massachusetts Office of Coastal Zone Management (CZM), the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, the National Oceanic and Atmospheric Administration (NOAA), and the U.S. Army Corps of Engineers (USACE). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of seafloor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes because of natural or human effects. The project is focused on the inshore waters of coastal Massachusetts. Data collected during the mapping cooperative involving the USGS have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/html/current_map.html). The interpretations released in this study are for an area extending from the southern tip of Nahant to Northern Cape Cod Bay, Massachusetts. A combination of geophysical and sample data including high resolution bathymetry and lidar, acoustic-backscatter intensity, seismic-reflection profiles, bottom photographs, and sediment samples are used to create the data interpretations. Most of the nearshore geophysical and sample data (including the bottom photographs) were collected during several cruises between 2000 and 2008. More information about the cruises and the data collected can be found at the Geologic Mapping of the Seafloor Offshore of Massachusetts Web page: http://woodshole.er.usgs.gov/project-pages/coastal_mass/.

Tags: atlantic-ocean, backscatter, bathymetry, boston, boston-harbor, boston-harbor-islands, bottom-photographs, bottom-type, brant-rock, cape-cod-bay, cmgp, coastal-and-marine-geology-program, cohasset, czm, duxbury, esri-shapefile, geoscientificinformation, geospatial-datasets, hull, humarock, interpretation, kingston, lidar, manomet, marine-geology, marshfield, massachusetts-bay, massachusetts-office-of-coastal-zone-management, nahant, north-river, oceans, plymouth, provincetown, quincy, revere-beach, scientific-interpretation, scituate, sea-floor, sea-floor-characteristics, seafloor, sediment-cover, sediment-distribution, sediment-samples, sediment-texture, seismic-reflection-profiles, shepard-classification, slope, topography, u-s-geological-survey, usgs, usgs-0c7291af-fc6b-4154-b959-a79a4db5be24, weymouth, whcmsc, winthrop, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Projected Seafloor Elevation Change and Relative Sea Level Rise Near St. Thomas, U.S. Virgin Islands 25, 50, 75, and 100 Years from 2014

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes near St. Thomas, U.S. Virgin Islands. Changes in seafloor elevation were calculated using historical bathymetric point data from the 1960s and 1970s (see Yates and others, 2017a) and light detection and ranging (lidar)-derived elevation data acquired in 2014 (NOAA, 2015) using methods outlined in Yates and others (2017b). An elevation change analysis between the historical and 2014 data was performed to quantify and map historical impacts to seafloor elevation and to determine elevation-change statistics for 18 habitat types found near St. Thomas. Annual elevation-change rates were calculated for each elevation-change data point. Seafloor elevation-change near St. Thomas was projected 25, 50, 75 and 100 years from 2014 using these historical annual rates of elevation change. Water depth was projected 25, 50, 75 and 100 years from 2014 using historical rates of annual elevation change plus 2014 local sea level rise (SLR) data from the National Oceanic and Atmospheric Administration (NOAA).

Tags: altimetry, caribbean-sea, coelenterates, digital-elevation-models, earth-remote-sensing-instruments-gt-active-remote-sensing-gt-profilers-sounders-gt-lidar-laser-, earth-science-gt-oceans-gt-bathymetry-seafloor-topography-gt-water-depth, earth-science-gt-oceans-gt-coastal-processes-gt-coastal-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-coral-reefs, earth-science-gt-oceans-gt-coastal-processes-gt-erosion, earth-science-gt-oceans-gt-coastal-processes-gt-sea-level-rise, elevation, elevation-change, geoscientificinformation, government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg-gt-coastal-and-marine-g, lidar, marine-geology, oceans, reef-ecosystems, saint-thomas, sea-floor-characteristics, sea-level-change, sea-level-rise, seafloor, seafloor-accretion, seafloor-elevation, seafloor-erosion, submerged, submerged-topography, united-states-virgin-islands, usgs-0f78f5f2-3d78-4c15-be72-55a6213d7325
Organization: Department of the Interior