AndreaBozzo/ceres-open-data-index huggingface dataset:
Adirondack Inventory &amp; Monitoring (AIM) Network Data Release Volume 1 (2021 - 2023)

This volume's release consists of 42105 media files captured by autonomous wildlife monitoring devices under the project, Adirondack Inventory &amp; Monitoring (AIM) Network.  The attached files listed below include several CSV files that provide information about the data release.   The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture.   The actual media files are housed within folders under the volume's "child items" as compressed files.   A critical CSV file is "dictionary.csv", which describes  each  CSV file, including field names, data types, descriptions, and the relationship of each field to fields other CSV files.    Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models,  identifying wildlife targets within the media.  If so, this information is stored in  "annotations.csv" and "modeloutputs.csv", respectively.   To protect privacy, all personally identifiable information (PII) have been removed, locations have been "blurred" by bounding boxes, and media featuring sensitive taxa or humans have been omitted.   To enhance data reuse, the sbRehydrate() function in the AMMonitor R package will download files and re-create the original AMMonitor project (database + media files).  See source code at https://code.usgs.gov/vtcfwru/ammonitor.

Tags: adirondack-mountains, american-marten, animal-tracking, biota, bobcat, camera-traps, ecosystem-monitoring, environment, field-inventory-and-monitoring, fisher, images, inventory, long-tailed-weasel, mammals, monitoring, moose, northern-flying-squirrel, saint-lawrence-county, snowshoe-hare, southern-flying-squirrel, time-series-datasets, usgs-6627b8b8d34ea70bd5f0145d, vertebrates, wildlife, wildlife-biology
Organization: Department of the Interior
Enhanced Terrain Imagery of the Galax 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Galax 30 x 60 minute quadrangle in Virginia and North Carolina. The source data used to construct this imagery consists of 1-meter, 1/9 arc-second (3-meter) and 3-feet lidar-derived digital elevation models (DEMs). Lidar point cloud data (LPCs) were used to construct DEMs at a 3-meter resolution in parts of North Carolina. The lidar source data were compiled from different acquisitions published between 2018 and 2020. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, north-carolina, topography, usgs-6627b47ed34ea70bd5f0106f, virginia
Organization: Department of the Interior
Enhanced Terrain Imagery of the Kingwood 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Kingwood 30 x 60 minute quadrangle in West Virginia and Maryland. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, maryland, topography, usgs-6627b31cd34ea70bd5f00f24, west-virginia
Organization: Department of the Interior
Enhanced Terrain Imagery of the Front Royal 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Front Royal 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs) and lidar point cloud (LPC). The lidar source data were compiled from different acquisitions published between 2014 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, topography, usgs-6627b226d34ea70bd5f00e41, virginia, west-virginia
Organization: Department of the Interior
Enhanced Terrain Imagery of the Buena Vista 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Buena Vista 30 x 60 minute quadrangle in Virginia and West Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

Tags: elevation, imagerybasemapsearthcover, lidar, topography, usgs-6627b190d34ea70bd5f00db0, virginia, west-virginia
Organization: Department of the Interior
Vascular plant data collected at Wind Cave National Park, South Dakota, USA, in 1998

This data release contains four data sets.  The data were collected in 1998 at Wind Cave National Park, ND, USA.  The main data set comprises the list of plant species observed and includes the transect ID, transect number, plot number, plot size, vegetation type, and terrain type where each species was found.  A second data set has the locations of the transects, along with their IDs which can be linked to the species list.  A third data set lists the number of plant species recorded on each plot on each transect.  This data set also lists plots that had zero species.  The final data set is a list of nomenclature updates along with the currently accepted scientific names of these species.

Tags: biota, community-ecology, flowering-plants, grassland-ecosystems, north-dakota, usgs-662676d5d34ea70bd5ef9e6b, vascular-plants, wind-cave-national-park
Organization: Department of the Interior
Tracklines for bottom video collected using the MINI-SEABOSS sampler in Barnegat Bay, NJ by the U.S. Geological Survey during 3 surveys in 2012 and 2013 (Esri polyline shapefile, Geographic, WGS 84)

Water quality in the Barnegat Bay-Little Egg Harbor estuary along the New Jersey coast is the focus of a multidisciplinary research project begun in 2011 by the U.S. Geological Survey in partnership with the New Jersey Department of Environmental Protection. This narrow estuary is the drainage for the Barnegat Watershed and flushed by just three inlets connecting it to the Atlantic Ocean, is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen -depletion events, seaweed, stinging nettles, and brown tide. The scale of the estuary and the scope of the problems within it necessitate a multidisciplinary approach that includes characterizing its physical characteristics (for example, depth, magnitude and direction of tidal currents, distribution of seafloor and subseafloor sediment) and modeling how the physical characteristics interact to affect the estuary's water quality. Scientists from USGS Coastal and Marine Geology Program offices in Woods Hole, Massachusetts, and St. Petersburg, Florida, began mapping the seafloor of the Barnegat Bay-Little Egg Harbor estuary in November 2011 and completed in September 2013. With funding from the New Jersey Department of Environmental Protection and logistical support from the USGS New Jersey Water Science Center, they collected data with a suite of geophysical tools, including swath bathymetric sonar for measuring seafloor depth, a sidescan sonar for collecting acoustic-backscatter data (which provides information about seafloor texture and sediment type), subbottom profiler for imaging sediment layers beneath the floor of the estuary, and sediment samples with bottom photographs for ground validation of the acoustic data. 2011-041-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-041-FA 2012-003-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-003-FA 2013-014-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-014-FA 2013-030-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-030-FA

Tags: 2012, 2013, barnegat-bay, barnegat-inlet, bottom-video, coastal-and-marine-geology-program, environment, field-activity-serial-number-2012-003-fa, field-activity-serial-number-2013-014-fa, field-activity-serial-number-2013-030-fa, forked-river, geospatial-datasets, ground-truth, little-egg-harbor, little-egg-inlet, mantoloking, marine-geology, metedeconk-river, navigational-data, oceans, rv-rafael, sea-floor, seaboss-sampler, seafloor, shapefile, st-petersburg-coastal-and-marine-science-center, state-of-new-jersey, toms-river, tuckerton, u-s-geological-survey, underwater-photography, united-states-of-america, usgs, usgs-66257d2b-e9dc-4dfe-a925-f7dd15fcf608, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
MODPATH model to simulate particle transport near Puget Sound, Pierce County, Washington

MODPATH simulations were performed using the MODFLOW groundwater flow model by Wright and others (2023) as the basis, with particles originating from five separate areas in or near Joint Base Lewis-McChord (JBLM). Steady-state and transient runs were performed, with transient runs representing 2005-2015 conditions.

Tags: environment, geoscientificinformation, groundwater, inland-waters, inlandwaters, king-county, modpath, particle-tracking-model, pierce-county, puget-sound, usgs-662300f2d34ea70bd5ef9bc7, washington
Organization: Department of the Interior
USGS 3D Elevation Program (3DEP) Broad Agency Announcement and Data Collaboration Announcement Projects from Fiscal Year 2015 to Present (ver. 3.0, December 2025)

These data provide spatial information about USGS 3D Elevation Program (3DEP) Broad Agency Announcement (BAA) and Data Collaboration Announcement (DCA) lidar data acquisition projects from Fiscal Year (FY) 2015 to present, including the FY, state, project name, project size, award recipient, lidar quality level (QL), contracting mechanism, and project description.

Tags: 3d-elevation-program, 3dep, baa, boundaries, broad-agency-announcement, data-collaboration-announcement, dca, usgs-66229c31d34e7eb9eb7f98cb
Organization: Department of the Interior
Summer Roost Site Habitat Suitability Rasters for Four North American Bat Species in the Eastern United States

This data release contains the spatial raster outputs from analyses of summer roost site habitat for each of 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). The included raster data represent the mean suitability for summer roosting habitat for each of the four species (expressed as a numerical value from 0 to 1), the prediction interval (difference between the 5th and 95th confidence intervals), as well as the environmental covariates used to model habitat. All raster data are produced at a spatial resolution of 250 m per pixel. Summer roost site suitability layers were produced using a presence-background modeling approach with the Maxent algorithm. Presence-background modeling compares environmental conditions at locations where a species has been observed (in this case occupied summer roosting sites) to environmental conditions across a study area (background). Background environmental conditions were represented with a suite of raster data hypothesized to influence the suitability for roosting sites. These raster data represented average conditions between the years 2000 and 2020 across the continental United States. Occupied sites were identified from two data sources: U.S. Forest Service, and the North American Bat Monitoring Program (NABat) spanning the years 2000 to 2020. While the observations from NABat are sampled from the continental United States, the U.S. Forest Service observations were obtained only for Regions 8 and 9 in the eastern United States. Background environmental conditions are described in an accompanying dataset.

Tags: alabama, arkansas, bats, biota, colorado, connecticut, delaware, ecological-niche-modeling, environment, florida, georgia, habitat-suitability-indices, illinois, indiana, iowa, kansas, kentucky, louisiana, main, massachusetts, maxent, michigan, minnesota, mississippi, missouri, montana, myotis-lucifugus, myotis-septentrionalis, myotis-sodalis, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-america, north-carolina, north-dakota, ohio, oklahoma, perimyotis-subflavus, rhode-island, south-carolina, south-dakota, summer, summer-roosts, tennessee, texas, united-states, usgs-66218fe2d34e7eb9eb7f9666, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Environmental Covariates for Estimating Summer Roost Suitability of North American Bat Species in the Eastern United States

This data release contains the environmental geospatial raster data sets used to estimate summer roosting habitat for 4 species considered under the United States Forest Service proposed Bat Conservation Strategy (Myotis lucifugus, MYLU; Myotis septentrionalis, MYSE; Myotis sodalis, MYSO; and Perimyotis subflavus, PESU). This suite of environmental data was hypothesized to influence summer roost habitat suitability and were produced at a spatial resolution of 250 m per pixel.

Tags: bats, biota, conus-usa, environment, habitat-suitability-indices, north-america, roost, summer, united-states, usgs-66218fcad34e7eb9eb7f9662
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (ver. 1.0, April 2024)

These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 38,242 AIM plots from years 2016–2023 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once and as training data four times) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S classified as shrubs or grassland/herbaceous by the 2021 National Land Cover Database at or below 2350-m elevation.
Note:
Maps of April 19th, 2024, were developed using satellite observation data no later than April 12.
Releases: 
First Release: April 19, 2024 (ver. 1.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, field-brome, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-66214acad34e7eb9eb7f94e5, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
East Marsh Island Marsh Creation (TV-21): 2021 land-water classification

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 East Marsh Island Marsh Creation (TV-21) project for 2021. This data is used as a basemap land-water classification. 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, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, farming, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, tv-21, united-states-of-america, usgs-66211e6ad34e7eb9eb7f936d, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Hydroacoustic data to support embayment monitoring in Long Island Sound, Mystic and Norwalk embayments, Connecticut, 2023

This data release includes six months of hydroacoustic data collected during the 2023 water year, starting October 1, 2022 and ending April 11, 2023. Data were collected at four stations that are part of a discrete and continuous monitoring project in embayments on Long Island Sound to support nutrient management activities in Connecticut. The data were collected by the U.S. Geological Survey (USGS) in cooperation with the Connecticut Department of Energy and Environmental Protection. The data were collected using acoustic doppler current profilers (ADCPs) sampling 134 parameters every six minutes. Recorded values above the water surface were removed from files using an R script. The ADCPs were deployed at upstream and downstream locations in the Mystic and Norwalk embayments. For the Mystic River embayment, the upstream station is the Mystic River at Mystic Seaport near Mystic, CT (412141071580200), USGS streamgage and the downstream station is the Mystic River at Ram Island Yacht Club at Noank, CT (411940071590300), USGS streamgage. For the Norwalk embayment, the upstream station is the Norwalk River at Norwalk Aquarium near South Norwalk, CT (410606073245700), USGS streamgage and the downstream station is the Norwalk Harbor at the Cove Marina near East Norwalk, CT (410502073236000), USGS streamgage. Data are provided for each station in a ‘zip’ file and each zip file includes a description for the station’s ADCP setup.

Tags: connecticut, embayment-monitoring, environment, hydroacoustics, long-island-sound, mystic-river-at-mystic-seaport, mystic-river-at-ram-island, mystic-river-at-rams-island-yacht-club, norwalk-harbor-at-the-cove-marina, norwalk-river-at-cove-marina, norwalk-river-at-norwalk-aquarium, usgs-662119a5d34e7eb9eb7f9365
Organization: Department of the Interior
Environmental DNA survey results for Oncorhynchus mykiss and Cottus aleuticus in coastal streams of Big Sur, California, 2021-2022

The data support a study that surveyed the spatial distribution of Oncorhynchus mykiss and Cottus aleuticus eDNA in coastal streams of Big Sur, California, 2021-2022 following post-fire debris flows. The metadata represent qPCR quantification cycle (Cq) values for O. mykiss and C. aleuticus assays performed on water samples collected during June and July of 2021 and 2022 from the following streams: Big Creek, Mill Creek, Prewitt Creek, and Willow Creek. The metadata also includes the distance (meters) of each eDNA sample site from the stream mouth, volume of water (Liters) collected for eDNA analysis at each site, and the Y-intercept, slope, and R-squared value for each assay run.

Tags: big-sur, biota, central-california-coastal, debris-flow, environment, environmental-dna, field-sampling, fire-damage, fish, usgs-661ef640d34e7eb9eb7e3fec
Organization: Department of the Interior
Chemical and physical data for sediment source tracking in Little Flatrock Creek, Ohio - source samples, 2021

Data include total nitrogen and carbon, carbon species, total metal, and particle-size analyses of soft streambed sediment from Little Flatrock Creek, Paulding County, Ohio. These data will be used in a sediment-source mixing model to attribute the proportional contribution of individual sources to suspended sediment in the basin. Source samples were identified as one of four land-cover types: cropland (corn, soybean, hay, and wheat; sites included a mix of conventional and conservation tillage), roads, preserved forest, and streambanks along agricultural and non-agricultural channels.

Tags: 04100007, agricultural-stream, anthropocene, auglaize-township-oh, geomorphology, holocene, hydrology, paulding-county-oh, rural-stream, sediment-fingerprinting, sediment-transport, sedimentology, soil-sciences, united-states, usgs-661ee77fd34e7eb9eb7e3f9b, western-lake-erie
Organization: Department of the Interior
Fallout-radionuclide activity in samples collected from fine-grained, streambed sediment in the Little Flatrock Creek stream-channel network, Ohio, 2019

These data are comprised of beryllium-7 (7Be) and excess lead-210 (210Pbxs) activity for fine-grained, mobile, streambed sediment at seven reaches in the Little Flatrock Creek stream-channel network.  This basin is monitored in cooperation with the Ohio Department of Natural Resources.  During the period July 26-27, 2019 (summer low flow), the thickness and spatial extent of soft, mobile, fine-grained (mainly silt and clay) streambed sediment was inventoried and sampled along 150-meter (m) transects.  A combination of stream corridor land-use distribution, valley type, channel slope, and stream order (Strahler, 1957) was used to select 15 rapid geomorphic assessment reaches using methods of Fitzpatrick and others (2016); streambed sediment from seven of these were analyzed for sediment fingerprinting and fallout-radionuclides (FRN).

Tags: 04100007, agriculture, anthropocene, auglaize, field-monitoring-stations, geoscientificinformation, holocene, land-use-and-land-cover, ohio, paulding-county, sediment-transport, streambed-material, surface-water-quality, united-states, usgs-661ec76bd34e7eb9eb7e3e9a, western-lake-erie
Organization: Department of the Interior