AndreaBozzo/ceres-open-data-index huggingface dataset:
Delaware Atlantic coast, 2022 – Orthomosaic Images

Low altitude (300 meters above ground level (AGL)) digital aerial imagery acquired with a piloted fixed-wing aircraft was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution three-dimensional (3D) point clouds and digital elevation models (DEMs) and orthomosaic images. This dataset consists of red-green-blue (RGB) orthomosaic images produced from imagery collected along the Delaware Atlantic coast on June 11, 2022, to monitor coastal change.
All horizontal data are provided in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 18 North (18N), referenced to the North American Datum of 1983 (NAD83(2011)).

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, digital-elevation-models, earth-sciences, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, oceans, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2ddbd34eac007b55e396
Organization: Department of the Interior
Dedicated Dredging on the Barataria Basin Landbridge (BA-36): 2018 and 2021 land-water classifications

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Dedicated Dredging on the Barataria Basin Landbridge (BA-36) project for 2018 and 2021. This data is used as a basemap land-water classifications. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, ba-36, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, farming, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, united-states-of-america, usgs-65fc257ed34e64ff1548d214, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Transgressive Contours—Point Sur to Point Arguello, California

This part of DS 781 presents data for the transgressive contours of the Point Sur to Point Arguello, California, region. The vector data file is included in the “TransgressiveContours_PointSurToPointArguello.zip,” which is accessible from https://doi.org/10.5066/P97CZ0T7.
As part of the USGS's California State Waters Mapping Project, a 50-m grid of sediment thickness for the seafloor within the 3-nautical mile limit between Point Sur and Point Arguello was generated from seismic-reflection data collected between 2008 and 2014, and supplemented with geologic structure (fault and fold) information following the methodology of Wong (2012). Water depths determined from bathymetry data were added to the sediment thickness data to provide information on the depth to base of the post-LGM unit.
Reference Cited: Wong, F. L., Phillips, E.L., Johnson, S.Y., and Sliter, R.W., 2012, Modeling of depth to base of Last Glacial Maximum and seafloor sediment thickness for the California State Waters Map Series, eastern Santa Barbara Channel, California: U.S. Geological Survey Open-File Report 2012-1161, 16 p. (available at https://pubs.usgs.gov/of/2012/1161/).

Tags: avila-beach, cambria, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, environment, gamboa-point, geoscientificinformation, geospatial-datasets, gorda, lafler-rock, maps-and-atlases, marine-geology, morro-bay, oceano-beach, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, piedras-blancas, point-arguello, point-buchon, point-estero, point-purisma, point-sal, point-sur, ragged-point, sediment-deposition, seismic-reflection-methods, seismic-reflection-profiling, state-of-california, stratigraphic-thickness, u-s-geological-survey, usgs, usgs-5c9138d8e4b09388245480de
Organization: Department of the Interior
Magnetotelluric data from Missouri, Arkansas, Tennessee, Illinois, and Kentucky, 2016-2019, station sfm031

This dataset consists of 127 wideband and 21 long-period magnetotelluric (MT) stations collected from 2016-2019 across parts of Missouri, Arkansas, Tennessee, Illinois, and Kentucky. The U.S. Geological Survey (USGS) acquired these data as part of regional investigations into the geologic and tectonic framework of the area and to support mineral resource and geologic hazard investigations. These data have been used to generate a 3D regional conductivity model of the area. Files included in this publication include measured electric- and magnetic-field time series as well as estimated impedance and vertical-magnetic field transfer functions. The data included here are for MT station sfm031 in the Reelfoot Rift survey region. A shapefile with station information for all stations in this dataset is available at https://doi.org/10.5066/P9F7HFH7.

Tags: apparent-resistivity, arkansas, conductivity, electromagnetic-surveying, exploration, geologic-structure, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, illinois, impedance, kentucky, magnetic-field-earth, magnetotelluric-surveying, magnetotellurics, mineral-resources, mineral-resources-program, mississippi-embayment, missouri, mrp, mt, ozark-plateau, phanerozoic, phase, precambrian, quaternary, reelfoot-rift, saint-francois-mountains, tectonics, tennessee, time-series, tipper, usgs-5f894fd582cef33f43f41c8c
Organization: Department of the Interior
Geochemical and mineralogical data for mine waste from Sulphur Bank Mercury Mine, Lake County, California.

This data release presents geochemical and mineralogical data for mine waste at Sulphur Bank Mercury Mine (SBMM). This work is performed in cooperation with the US Environmental Protection Agency (EPA) to characterize sources of contamination at the SBMM cleanup site. A total of 23 samples were collected: 15 samples were collected by USGS from various waste piles during 2020-21 (14 composites from the top 0-2 centimeters of material, and one composite from six discrete ore hand samples), six composite samples were generated from drill cores from monitoring wells installed by EPA contractor EA Engineering, Science, and Technology, Inc. (EA), in the Waste Rock Dam during 2022. Two additional hand samples - one cinderblock and one scoria - were collected by USGS from the eastern flank of the South waste pile. The 21 composite samples were analyzed by inductively coupled plasma-mass spectrometry (ICP-MS) for trace elements, inductively coupled plasma-optical emission spectroscopy (ICP-OES) for major elements, 5-stage sequential extractions to determine phase associations, semi-quantitative X-ray diffraction (XRD) for mineralogy, EPA Method 3051a for total arsenic and EPA Method 1340 and the California Arsenic Bioaccessibility (CAB) method for relative in vitro arsenic bioaccessibility. The two hand samples were analyzed by ICP-MS for trace elements, ICP-OES for major elements, and semi-quantitative XRD for mineralogy. For composite samples, analyses were performed for two size fractions, S4 (63-250 µm) and S5 (&lt; 63 µm), except for EPA 3051a and 1340 and the CAB test, which were performed on the S3 (&lt; 250 µm) size fraction. The two hand samples were only analyzed for the S5 size fraction. Results are presented for all 23 samples of ore, calcined tailings, waste rock material, Waste Rock Dam drill cores, cinderblock, and scoria collected between November 20, 2020 and June 17, 2022.

Tags: california, clearlake-oaks, geochemistry, geoscientificinformation, lake, mine-waste, mineralogy, north-america, sulphur-bank-rancheria, united-states, upper-cache, usgs-641c950dd34e807d39b65343
Organization: Department of the Interior
Data Release for Luminescence: Neotectonic Mapping of Puerto Rico

This report details the luminescence ages and characteristics of four (4) samples that were collected by Jessica Jobe and Rich Briggs of the USGS. These samples are from Holocene and Pleistocene sediments offset by a fault that is exposed in a road cut. The roadcut is in Puerto Rico at 18.003828 and -67.140249 with an elevation of 13.5 m. The sample depths from the modern surface varied from 0.6 m (top) for GB-OSL-4 to 1.6 m for GB-OSL-2 (deepest sample).

Tags: age-estimation-methods, cerro-goden-fault, geochronology, luminescence-dating, optically-stimulated-luminescence, parguera-fault, puerto-rico, radiation-dosimetry, salinas-fault, san-marcos-fault, south-lajas-fault, usgs-657c9d8cd34e23d35331ce81
Organization: Department of the Interior
Spatially explicit estimates of Greater Sage-Grouse (Centrocercus urophasianus) survival, recruitment, and rate of population change in Nevada, 2013-2021

These data are the results of a spatially interpolated integrated population model (SIIPM) fit to count and demographic data collected from populations of Greater Sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) located in Nevada, U.S.A. during 2013-2021. We used a novel framework, using integrated population models (IPMs), to express demographic relatedness among sampled and unsampled populations using geographic principles of spatial autocorrelation (Shepard, 1968; Tobler, 1970). Specifically, the framework pairs relatively inexpensive population count data with spatially interpolated demographic estimates. When conducted within a Bayesian framework, spatially interpolated demographic parameters can be expressed as probability distributions for unobserved populations. Though novel to the IPM framework, the method is remarkably similar to Tobler’s seminal work on the topic of spatial autocorrelation (Tobler, 1970), which used the Markovian process of human population dynamics to map urban growth over a partially sampled plane. Spatially explicit estimates of survival, recruitment, and finite rate of population change (lambda) represent the 50th percentile of the posterior distribution for each parameter.
References cited:
Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. In Proceedings of the 1968 23rd ACM National Conference, ACM 1968. (pp. 517-524). 
Tobler, W. R. (1970). A Computer Movie Simulating Urban Growth in the Detroit Region. Economic Geography, 46, 234-240. https://doi.org/10.2307/143141

Tags: biota, long-term-ecological-monitoring, native-species, usgs-661578a2d34e7eb9eb7d54c1, wildlife
Organization: Department of the Interior
UAV imagery and digital elevation data for the debris slide in Chaos Canyon, 28 June 2022, Rocky Mountain National Park, Colorado, U.S. Geological Survey Data Release, https://doi.org/10.5066/P9ZQQY3G

This dataset contains a point cloud (HalletPeak_PointCloud.las), digital elevation model (HalletPeak_DEM.tif), and orthoimagery (HalletPeak_Ortho.tif) of a debris slide originating on the southeast flank of Hallett Peak and sliding into Upper Chaos Canyon in Rocky Mountain National Park, Colorado, USA. The slide occurred on 28 June 2022, and imagery was obtained on 15 July 2022. These products were created from 692 georeferenced photos, included with this data release as UAV_photos_video, taken from a USGS-approved DJI Mavic Pro uncrewed aerial vehicle (UAV). The photos were converted to a point cloud using the structure from motion (SfM) algorithms in Agisoft Metashape (v. 1.8.3). This debris slide is within a remote area of Rocky Mountain National Park and it was not possible to add local ground control, therefore the point cloud was initially roughly aligned using the onboard GPS unit of the UAV. The orthoimagery is aligned horizontally, and no subsequent alignment was conducted. The SfM point cloud alignment was performed using an iterative closest point (ICP) approach along with point-pair picking with the most recent 3DEP lidar digital elevation model (DEM), which had 1-m resolution.

Tags: chaos-canyon, debris-slide, ground-failure, hallett-peak, permafrost, rocky-mountain-national-park, usgs-6407663cd34e76f5f75e3859
Organization: Department of the Interior
LANDFIRE 2022 Fuel Vegetation Cover (FVC) Puerto Rico US Virgin Islands

LANDFIRE (LF) 2022 Fuel Vegetation Cover (FVC) represents the LF Existing Vegetation Cover (EVC) product, modified to represent pre-disturbance EVC in areas where disturbances have occurred over the past 10 years. EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. Continuous EVC values are binned to align with fuel model assignments when creating FVC. FVC is an input for fuel transitions related to disturbance. Fuel products in LF 2022 were created with LF 2016 Remap vegetation in non-disturbed areas. 
To designate disturbed areas where FVC is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The “capable” year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: biota, evc, existing-vegetation-cover, fires, fuel-vegetation-cover, fvc, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2022, lf-2022, oconus, puerto-rico, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, us-virgin-islands, usgs-655544bfd34ee4b6e05c4657
Organization: Department of the Interior
An Unvegetated to Vegetated Ratio (UVVR) for coastal wetlands of the Atlantic Coast

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using readily available satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of the 1) unvegetated fraction, 2) vegetated fraction, 3) water fraction and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 1985-2023. Additionally, multi-year average values of vegetated ratio, its standard deviation and a UVVR based on the annually-averaged vegetated ratio are provided for the coastal wetlands of the contiguous United States.

Tags: atlantic-coast, coastal-wetlands, connecticut, conterminous-united-states, delaware, florida, fractional-cover, georgia, maine, maryland, massachusetts, new-hampshire, new-jersey, new-york, north-carolina, rhode-island, south-carolina, unvegetated, unvegetated-to-vegetated-ratio, usgs-66e0e6bbd34ecba8b86768fb, uvvr, vegetation, virginia, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Turbidity data from the Carmel River, central California, 2014 to 2017

This data provides river turbidity measurements collected on the Carmel River, CA. Turbidity was measured to study any changes in the Carmel River’s sediment loads following the removal of the San Clemente Dam. The USGS-run DTS-12 turbidity sensor was deployed above the Sleepy Hollow Weir on the Carmel River, CA (instrument was located at 36.445250 degrees North, 121.710494 degrees West). Deployment began on December 9, 2014. After June 16, 2016, the instrument was removed for calibration. A new instrument was re-deployed on October 14, 2016, and continued to record until recovery on July 13, 2017. Due to the instrument removal and calibration, there exists an approximately 4-month long gap in data collection from June 16 to October 14, 2016.
The sensor recorded turbidity, water temperature, and battery voltage at 15-minute intervals. The data are in Formazin Nephelometric Units (FNU), which are similar to Nephelometric Turbidity Units (NTU) in that both measure scattered light at 90 degrees from the incident light beam. FNU are measured with an infrared light source (by the ISO 7027 method), whereas NTU requires a white light source (EPA method 180.1). For more information on FNU and water turbidity data, please visit http://or.water.usgs.gov/grapher/fnu.html.
Apparently spurious data points were removed during processing. Those included: data points in which the temperature reading dropped abruptly to zero [both temperature and turbidity values were set to "NaN" (Not A Number)], data points in which the turbidity value abruptly dropped from a non-zero value to zero and recovered immediately to near the original non-zero reading (in which case turbidity, but not temperature, values were set to "NaN"), and several points were deleted in the record in which turbidity spiked rapidly by two or three orders of magnitude and then immediately returned to much lower values. This may occur, for example, if a leaf blocked the sensor momentarily, but we considered it was likely not a real increase in turbidity. Several rapid apparent increases in turbidity remain in the record. These may be real or spurious; they did not appear abrupt enough to be clearly spurious, and so are left in the record. Turbidity spikes were also removed that coincided with equipment deployment at the site.

Tags: carmel-river, carmel-valley, cmgp, coastal-and-marine-geology-program, field-inventory-and-monitoring, inland-fishery-resources, inlandwaters, monterey-county, pacific-coastal-and-marine-science-center, pcmsc, river-reaches, river-systems, san-clemente-dam, sediment-transport, u-s-geological-survey, usgs, usgs-61ef2fb5d34e8b818adb7bb5, water-quality-parameters
Organization: Department of the Interior
National Park Service Thematic Burn Severity Mosaic for CONUS in 2001

The National Park Service (NPS) requests burn severity assessments through an agreement with the U.S. Geological Survey (USGS) to be completed by analysts with the Monitoring Trends in Burn Severity (MTBS) Program. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of burn severity classes for all NPS-requested burn severity fires, occurring in CONUS during calendar year 2001. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires which were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, nps, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-6307b375d34e3b967a8c12b7, wildfire, wildland-fire
Organization: Department of the Interior
HW1_Q16.TIF - Hawaii I - Southeastern Hawaiian Ridge U.S. EEZ GLORIA sidescan-sonar data mosaic (16 of 29) (LCC, 50 m, WGS84)

Survey of the southeastern Hawaiian Ridge was the fifth major segment of the Exclusive Economic Zone (EEZ) mapping program to have been initiated. Data acquisition for this region required approximately one-half year and were acquired during eight cruises over a four year period from 1986 through 1989, skipping 1987. At the conclusion of the survey 29 mosaics of a 2 degree by 2 degree were completed for the region. As in earlier EEZ reconnaissance surveys, the USGS utilized the GLORIA (Geological LOng-Range Inclined Asdic) sidescan-sonar system to complete the geologic mapping. The collected GLORIA data were processed and digitally mosaicked to produce continuous imagery of the seafloor. A total of twenty-seven digital mosaics of a 2 degree by 2 degree area and 2 mosaics of 2.25 degree by 2 degree with a 50-meter pixel resolution were completed for the region.

Tags: acoustic-receivers, acoustic-reflectivity, alika-slides, backscatter, cmgp, coastal-and-marine-geology-program, continental-island-rise, continental-island-slope, distributions, east-pacific-rise, eez, exclusive-economic-zone, exclusive-economic-zone-eez, geological-long-range-inclined-asdic, geoscientificinformation, geotiff-image, gloria, gloria-gt-geological-long-range-inclined-asdic, grey-scale-image, hawaii, hawaii-ecoregion, hawaii-islands, hawaiian-arch, hawaiian-deep, hawaiian-emperor-chain, hawaiian-ridge, hilina-slump, image-mosaics, imagerybasemapsearthcover, infobank-identifier-f-10-88-hw, infobank-identifier-f-12-89-hw, infobank-identifier-f-3-88-hw, infobank-identifier-f-4-88-hw, infobank-identifier-f-5-86-hw, infobank-identifier-f-5-88-hw, infobank-identifier-f-6-86-hw, infobank-identifier-f-6-88-hw, island-of-hawaii, kauai, kauai-fracture-zone, loihi-seamount, marine-basin-floor, marine-geology, marine-geophysics, marine-oceanic, molokai, molokai-fracture-zone, necker-island, necker-ridge, nihoa-island, niihau, nuuanu-wailou-debris-avalanches, oahu, ocean-gt-pacific-ocean, ocean-gt-pacific-ocean-gt-central-pacific-ocean, ocean-gt-pacific-ocean-gt-central-pacific-ocean-gt-hawaiian-islands, oceans, oceans-gt-ocean-acoustics-gt-acoustic-reflectivity, physical-habitats-and-geomorphology, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, shemya-island, side-scan-sonar, sidescan-sonar, sidescan-sonar-mosaic, u-s-geological-survey, usgs, usgs-7c0abd69-23d4-48b0-8b7d-7ff8d702eed5, wcmg, western-coastal-and-marine-geology
Organization: Department of the Interior
Physical and Hydraulic Properties at Recently Burned and Long-Unburned Boreal Forest Areas in Interior Alaska, USA

This dataset includes volumetric soil-water content profiles with depth at selected sites in interior Alaska.

Tags: alaska, dalton-highway, hydraulic-properties, interior-alaska, permafrost, soil-properties, steese-highway, usgs-5b3fcea5e4b060350a10bf9a
Organization: Department of the Interior