AndreaBozzo/ceres-open-data-index huggingface dataset:
North Carolina Small Ponds Under 10 Acres, 2022

Ponds are impoundments that have been used for flood control, water supply, irrigation, and recreation. They constitute modifications to the stream network that fragment the aquatic habitat by limiting river network connectivity necessary for fish passage.  A dataset was developed to quantify small ponds as proxy measures of barriers to flow in stream networks across the State of North Carolina. The USGS used a combination of the 2016 National Land Cover Dataset (NLCD) and the National Hydrography Dataset (NHD) Plus High Resolution to identify 105,560 small ponds that are less than 10 acres in size. The features are more refined than larger scale assessments such as those in the NHDPlus High Resolution and provide a starting point for determining mitigation strategies.

Tags: aquatic-ecosystems, barriers, freshwater-ecosystems, geoscientificinformation, geospatial-analysis, hydrology, inlandwaters, land-use-and-land-cover, small-ponds, usgs-6172b8bed34ea36449a88187, watershed-management
Organization: Department of the Interior
Lidar-Derived Ditches in Eastern North Carolina with Transportation attributes, 2014-2015

Artificial drainage has major ecosystem impacts through the development of extensive ditch networks that reduce storage and induce large-scale vegetation changes. This has been a widespread practice of water table management for agriculture in Eastern North Carolina. However, these features are challenging to identify, and (because of their structure) have been determined by non-natural factors. A dataset of open ditches was processed by calculating terrain openness (also called positive openness): a value based on a line-of-sight approach to measure the surrounding eight zenith angles as viewed above the landscape surface. The result from calculating openness with high resolution digital elevation models (DEMs or Lidar) was then refined by masking natural water ways (stream valleys) and channels that are associated with transportation and urban areas. The resulting raster dataset presented here represents areas without ditches (cell value of 0), a ditch not along a transportation corridor (1), the transportation corridor (100), and ditches along a transportation corridor (101).

Tags: agriculture, artificial-drainage, beaufort, bertie, bladen, brunswick, camden, canals, carteret, chowan, columbus, craven, cumberland, currituck, dare, ditches, duplin, edgecombe, franklin, gates, geomorphology, geoscientificinformation, geospatial-analysis, greene, halifax, harnett, hertford, hoke, hyde, hydrology, johnston, jones, lenoir, lidar, martin, montgomery, moore, nash, new-hanover, north-carolina, northampton, onslow, pamlico, pasquotank, pender, perquimans, pitt, richmond, robeson, sampson, scotland, spatial-analysis, tyrrell, usgs-6172b873d34ea36449a88182, wake, washington, water-cycle, wayne, wilson
Organization: Department of the Interior
Self-potential, electrical resistivity tomography, and water temperature and electrical conductivity data pertaining to the sources of groundwater at Krause Springs, Spicewood, Texas, February 4–15, 2019

This data release contains self-potential (SP), electrical resistivity tomography (ERT), and water temperature and conductivity data measured during a geophysical survey at the Krause Springs property in Spicewood, Texas. The geophysical survey was completed February 4–15, 2019, over approximately 3.1 acres on the western side of the property adjacent to the main visitor parking lot and entrance facilities. SP data were measured on the land surface within the survey area to locate SP anomalies attributed to groundwater flow. The locations and spatial distribution of the discovered SP anomalies were used to orient four ERT profiles to intersect the SP anomalies. Two ERT profiles, consisting of 84 stainless steel electrodes separated by 2 m, were oriented approximately in a south-to-north (S–N) alignment. The other two ERT profiles, which consisted of 84 stainless steel electrodes separated by 1 m, were oriented in an east-to-west (E–W) alignment and approximately perpendicular to the two S–N oriented profiles. The resistance data measured at the ERT profiles were used to produced high-resolution images of the subsurface resistivity distribution beneath each profile to a maximum depth of 35 m for the S–N oriented profiles and 17 m for the E–W oriented profiles. The resulting datasets contained in this data release include: (1) 386 SP measurements acquired along seventeen linear profiles using a voltmeter and two non-polarizing copper-sulfate electrodes, (2) 13,605 electrical resistance measurements collected along four ERT profiles (3,442 measurements on ERT1, 3,422 measurements on ERT2, 3,274 measurements on ERT3, and 3,467 measurements on ERT4) with an IRIS Syscal Pro Switch 96 resistivity meter by using reciprocal Schlumberger electrode configurations, (3) formatted input and parameter-values files for inversion of the ERT resistance measurements, (4) a file containing the inverse-modeled two-dimensional electrical resistivity distributions beneath each ERT profile, (5) water temperature and electrical conductivity and resistivity measurements acquired with a handheld conductivity meter at 11 different locations around the Krause Springs property where spring-flow discharged during the geophysical survey, and (6) a State of Texas well report and driller’s log corresponding to a monitoring well that was drilled into coincident SP and ERT anomalies. Additionally, the data sets include global positioning system (GPS) coordinates of the SP, ERT, and water temperature and electrical conductivity measurement locations.

Tags: electrical-resistivity-tomography, groundwater, krause-springs, self-potential, spicewood, spring-flow, springs, texas, usgs-61804cb1d34e9f2789e01bce
Organization: Department of the Interior
Nearshore bathymetry data from the Elwha River delta, Washington, July 2018, collected from personal watercraft

This portion of the USGS data release presents bathymetric data collected during surveys performed on the Elwha River delta, Washington in 2018 (USGS Field Activity Number 2018-648-FA). Bathymetric data were collected using personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers.

Tags: bathymetry, bathymetry-and-elevation, clallam-county, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, elwha-river, global-positioning-system-gps-observations, gps-measurement, marine-geophysics, olympic-peninsula, pacific-coastal-and-marine-science-center, pcmsc, sea-floor-characteristics, single-beam-echo-sounder, strait-of-juan-de-fuca, u-s-geological-survey, usgs, usgs-6171daded34ea36449a86d49
Organization: Department of the Interior
Argon data for HD-B1 intercalibration

This data release includes 40Ar/39Ar intercalibration data from the U.S. Geological Survey for neutron fluence monitors HD-B1 (Heidelberg biotite) and FCs (Fish Canyon sanidine). Potassium-bearing mineral grains were analyzed by argon geochronology at the U.S. Geological Survey Argon Geochronology Laboratory in Denver, Colorado. These data provide intercalibration information between the two fluence monitors.

Tags: 40ar-39ar, argon-geochronology-laboratory, biota, colorado, denver, geochronology, geology-geophysics-and-geochemistry-science-center-gggsc, intercalibration, lakewood, mineral-resources-program-mrp, u-s-geological-survey-usgs, united-states, usgs-6171d2e8d34ea36449a86d36
Organization: Department of the Interior
2020 winter timeseries of UAS derived digital surface models (DSMs) from the Hourglass study site, Bridger Mountains, Montana, USA

Unmanned Aerial System (UAS) flights were conducted over the headwaters of the South Fork of Brackett Creek in the Bridger Mountains of SW Montana during the winter of 2020. The flights collected overlapping imagery focused on a steep mountain couloir study site known locally as "the Hourglass." Structure from motion (SfM) photogrammetry was used to process the collected imagery and create digital surface models (DSMs) of the landscape on 13 field days. The data was collected between January 7, 2020 and July 8, 2020 and includes 12 snow-on models as well as 1 snow-free model. The snow-on DSMs represent snow depths calculated using DSM-differencing techniques (subtraction of snow-free surface from snow-on surface). Other files include a shapefile of study locations and csv files of data used in analyses described in the associated manuscript.

Tags: aerial-photography, climatologymeteorologyatmosphere, ecosystem-monitoring, elevation, environment, field-inventory-and-monitoring, gallatin-national-forest, image-collections, montana, precipitation-atmospheric, remote-sensing, snow, snow-and-ice-cover, snow-depth, time-series-datasets, uas, uninhabited-aerial-vehicles, usgs-6171b92bd34ea36449a86cd4, winter
Organization: Department of the Interior
A network of eight naturalized streamflow reconstructions for the Milk and St Mary Rivers spanning years 1017 – 1998 CE

Paleohydrologic records provide a valuable perspective on the variability of streamflow and hydroclimate that is critical for water resource planning and placing present day and future conditions into a long-term context.  Until now, key insights gained from streamflow reconstructions in the other river basins across the Western U.S. have been lacking in the Milk and St. Mary River Basin.  Here we utilize a new database of naturalized streamflow records for the Milk and St. Mary Rivers and an expanded network of tree-ring records from the region to reconstruct streamflow at eight gaging locations located in the mountains, foothills, and plains reaches of the basins.  The network of streamflow reconstructions presented here were generated for use by the Bureau of Reclamation and Montana Department of Natural Resources and Conservation in the Basin Study update for the Milk and St. Mary Rivers, and provides important data resources to water managers balancing increasing water demands for hydropower, irrigation, and ecological resources with increasing drought and flood risk in the basin.

Tags: datasets, inlandwaters, milk, missouri-headwaters, st-mary, streamflow, surface-water-non-marine, upper-missouri, usgs-6171a379d34ea36449a80dba
Organization: Department of the Interior
Dataset: Surveillance for Avian Influenza Virus in Iceland, 2010 – 2018

From 2010-2018 we investigated the occurrence of avian influenza virus in wild birds in Iceland. A total of 6635 swabs samples were collected from wild birds or fecal material directly associated with wild birds. We screened all samples by a real time - polymerase chain reaction (RT-PCR) test with 381 testing positive. Further testing of all RT-PCR positive samples and all negative samples collected in 2012 by virus isolation yielded 120 positives, with 92 of those testing positive by RT-PCR for avian influenza virus.

Tags: akureyri, alftanes, avian-influenza, biota, breidafjordur, brimnes, east-atlantic-flyway, egilsstadir, eyjafjordur, faxafloi, fljotsdalur, garthur, grimsey, grindavik, grundarfjordur, grundarhverfi, hafnarfjordur, hofn, husavik, hvalnes, hveragerdi, iceland, kollafjordur, lon, madison-wisconsin, myrar, njardvik, reydarfjordur, reykjanes, rif, sandgerdi, seljalandsfoss, seltjarnarnes, skagafjordur, snaefellsness, sudursveit, thveit, usgs-6171a037d34ea36449a7c876, usgs-ema-low-sb-smc-migratory-birds, viruses, vogar
Organization: Department of the Interior
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2024 (ver. 5.0, July 2025)

This dataset release provides historical (2016 - 2024) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the western United States. The dataset includes five fractional cover maps per year, accompanied by five corresponding confidence maps, for a group of 15 species of EAGs. The following 15 species are included in the overall EAG cover estimate (species followed by * indicate specific maps for that species); field brome* (Bromus arvensis), medusahead* (Taeniatherum caput-medusae), cheatgrass* (Bromus tectorum), rattlesnake brome (Bromus briziformis), rescuegrass (Bromus catharticus), Bald brome (Bromus commutatus and Bromus racemosus), ripgut brome (Bromus diandrus), soft brome (Bromus hordeaceus and Bromus hordeaceus spp. hordeaceus), Japanese brome (Bromus japonicus), compact brome (Bromus madritensis and Bromus madritensis ssp. Rubens), red brome (Bromus rubens), rye brome (Bromus secalinus). Sandberg blue grass (Poa secunda) is not considered an EAG by this project or included in the EAG layer. We map Poa secunda separately as it can have similar phenology to many invasive grasses such as cheatgrass. The data were generated using a combination of field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) plots; remotely sensed data from the Harmonized Landsat and Sentinel-2 (HLS) product (specifically Normalized Difference Vegetation Index (NDVI) , and various environmental, vegetation, remotely sensed, and geophysical drivers. Additionally, artificial intelligence and machine learning techniques were employed in the data generation process. For 2024 maps we used a 40,154 AIM plots from 2016-2024. Pixels over 2350-m in elevation or classified as other than grassland/herbaceous or shrub (likely rangelands) were masked based on the 2023 National Land Cover Database (NLCD).

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, environment, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-bunch-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, united-states, usgs-61716970d34ea36449a77130, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Sediment Sample Data for Identifying and Monitoring Source Sediment Fingerprints within Stony Clove Creek, Catskills, NY from 2017 to 2020

This data release includes five comma delimited tables that support a pilot study on identifying and monitoring source sediment fingerprints within Stony Clove Creek, Catskills, NY. These tables consist of sediment particle size information, elemental analysis results, stable isotope analysis results, and percent fines for the samples collected.  "SourceSamples_Info.csv" and "TargetSamples_Info.csv" contain the fine sediment yields for each individual source and target sample, respectively. "SourceSamples_noRoad.csv" and "TargetSamples_halfDL.csv" contain the elemental, stable isotope, and grain size results for each individual source and target sample, respectively. "ReportingLimits.csv" contains the elemental reporting limits provided by Denver Metals Laboratory.

Tags: catskills, environment, erosion, geomorphology, grain-size-analysis, light-stable-isotope-analysis, metal-elements, new-york, sediment-transport, stony-clove-creek, united-states, usgs-618044ded34e9f2789df4f2f, woodland-creek
Organization: Department of the Interior
Ecotypic variation in Ambrosia dumosa and Larrea tridentata from three sites across the Mojave (2014 - 2018)

These data were acquired from two native Mojave Desert species, Ambrosia dumosa and Larrea tridentata, from 3 sites (50 m x 50 m garden plots) distributed across the differing Mojave Desert ecotones. These sites were located on the Fort Irwin National Training Center (CA), north of Joshua Tree National Park (CA), and north of Saint George (UT). Growth and survivorship data were collected monthly from 2014 to 2018. Canopy projection data was calculated from the measurements using the mathematical equation: pi x 0.5 x L1 x 0.5 x L2, L1 is the longest diameter, L2 is the perpendicular longest diameter (cm squared). Height  was measured from the ground to the tallest green leaf (cm).

Tags: adaptations-biological, botany, ecological-restoration, ecology, ecotype, fast-slow-spectrum, fort-irwin-national-training-center, joshua-tree-national-park, phenological-adaptations, reciprocal-transplant-experiment, reproductive-tradeoff, saint-george, usgs-6170974cd34ea36449a73952, winter-precipitation-gradient
Organization: Department of the Interior
Combined wildfire datasets for the United States and certain territories, 1800s-Present

First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is comprised of two different zip files. 
Zip File 1: The data within this zip file are composed of two wildland fire datasets. (1) A merged dataset consisting of 40 different wildfire and prescribed fire layers. The original 40 layers were all freely obtained from the internet or provided to the authors free of charge with permission to use them. The merged layers were altered to contain a consistent set of attributes including names, IDs, and dates. This raw merged dataset contains all original polygons many of which are duplicates of the same fire. This dataset also contains all the errors, inconsistencies, and other issues that caused some of the data to be excluded from the combined dataset. Care should be used when working with this dataset as individual records may contain errors that can be more easily identified in the combined dataset. (2) A combined wildland fire polygon dataset composed of both wildfires and prescribed fires ranging in years from mid 1800s to the present that was created by merging and dissolving fire information from 40 different original wildfire datasets to create one of the most comprehensive wildfire datasets available. Attributes describing fires that were reported in the various sources are also merged, including fire names, fire codes, fire IDs, fire dates, fire causes.
Zip File 2: The fire polygons were turned into 30 meter rasters representing various summary counts: (a) count of all wildland fires that burned a pixel, (b) count of wildfires that burned a pixel, (c) the first year a wildfire burned a pixel, (d) the most recent year a wildfire burned a pixel, and (e) count of prescribed fires that burned a pixel.

Tags: biota, burned-area, controlled-fires, count-of-times-burned, environment, fire, fires, first-year-burned, geospatial-datasets, most-recent-year-burned, north-america, prescribed-fire, united-states, usgs-61707c2ad34ea36449a6b066, wildfire
Organization: Department of the Interior
Associated Data for Predicting Flood Damage Across the Conterminous United States

This data release contains the associated data described in the related primary publication, “Predicting Flood Damage Probability Across the Conterminous United States” (Collins et al. [2022], see Cross Reference section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis.

Tags: biota, floods, usgs-6170694ed34ea36449a67ef7
Organization: Department of the Interior
Impacts of extreme environmental disturbances on survival of piping plovers breeding in the Great Plains, and wintering along the Gulf of Mexico and Atlantic Coasts, 2012-2019

We present one tabular data file to evaluate piping plover (Charadrius melodus) seasonal (breeding and nonbreeding) adult survival. These data were part of a study to examine adult (n = 3474) survival during 2012-2019 at breeding regions within the Northern Great Plains and nonbreeding regions in the Gulf and southern Atlantic Coasts of North America. This file includes USGS-funded data and not the full data used in the Larger Work. The seasonal adult survival data includes a multistate model encounter history.

Tags: biota, birds, capturing-animals, caribbean, endangered-species, florida, gulf-of-mexico, louisiana, mexico, migration-organisms, montana, nebraska, north-dakota, population-and-community-ecology, population-ecology, south-dakota, texas, usgs-61706528d34ea36449a637b1, wildlife-biology, wildlife-population-management
Organization: Department of the Interior
Rapid Response Landslide Inventory for the the 14 August 2021 M7.2 Nippes, Haiti, Earthquake

We present a preliminary point inventory of the landslides associated with the M7.2 Nippes, Haiti, earthquake that occurred on August 14, 2021. The mapping was part of rapid response efforts to identify hazards for situational awareness and emergency response by humanitarian aid organizations. This inventory accompanies an Open-File Report detailing the hazards presented by the landslides triggered by the earthquake (Martinez et al., 2021). To map the landslides, we used mid- to high-resolution satellite imagery including Sentinel-2 (10-m resolution), WorldView (0.3-0.5-m resolution), Planet (2.7-4.0-m resolution), as well as a high-resolution (1.5 m) Digital Elevation Model (DEM) that was derived from lidar collected from 2014-2016 (HaitiData and The World Bank, 2021). We compared post-earthquake images to pre-earthquake images to assure the landslides were associated with the earthquake. Due to the varying quality of imagery used and our rapid mapping for the response, we estimate our accuracy of landslide head scarp points to be within tens of meters of their correct location at the top of the corresponding head scarp. For one of our more poorly orthorectified images, the root mean square error was calculated to be 45 m. This error is not representative of all images used, but it provides an upper limit on the positional accuracy of our mapping. Due to the large quantity of images utilized in our rapid mapping efforts, a formal and systematic assessment on the positional accuracy of the data has yet to be completed. We also referenced a grid of population data (Facebook Connectivity Lab and Center for International Earth Science Information Network, 2016) as well as OpenStreetMap data (OpenStreetMap, 2021) while mapping to determine the potential for human and infrastructure impacts. Specific hazards that were identified include landslide dams and roads that were undercut or covered by landslide debris. The inventory includes 4,893 landslides. This is a minimum, however, because high-resolution imagery remains unavailable in some areas. Additionally, there may be a few localized areas in our mapping area that did not have cloud free imagery.

Tags: earthquakes, hazards, landslides, usgs-61705073d34ea36449a5ed84
Organization: Department of the Interior
Mineral Commodity Summaries 2022 - ABRASIVES (MANUFACTURED) Data Release

This data release contains the U.S. salient statistics and world production data extracted from the ABRASIVES (MANUFACTURED) data sheet of the USGS Mineral Commodity Summaries 2022.

Tags: abrasives, economy, fused-aluminum-oxide, geoscientificinformation, metallic-abrasives, metallic-mineral-resources, silicon-carbide, usgs-61ead2cad34e8b818ad9f384
Organization: Department of the Interior