AndreaBozzo/ceres-open-data-index huggingface dataset:
Orthomosaic imagery from the UAS survey of the debris flow at South Fork Campground, Sequoia National Park, CA

This portion of the data release presents a high-resolution orthomosaic image of the debris flow at South Fork Campground in Sequoia National Park. The orthomosaic has a resolution of 3 centimeters per pixel and was derived from structure-from-motion (SfM) photogrammetry using aerial imagery acquired during an uncrewed aerial systems (UAS) survey on 30 April 2024, conducted under authorization from the National Park Service. The raw imagery was acquired with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 70 percent overlap between images from adjacent lines, from an approximate altitude of 110 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 2.9 centimeters per pixel. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Survey control was established using temporary ground control points (GCPs) consisting of a combination of small square tarps with black-and-white cross patterns and temporary chalk marks placed on the ground. The GCP positions were measured using dual-frequency real-time kinematic (RTK) GPS with corrections referenced to a static base station operating nearby. The images and GCP positions were used for structure-from-motion (SfM) photogrammetric processing to create a topographic point cloud, a high-resolution orthomosaic image, and a Digital Surface Model (DSM). The orthomosaic image is provided in a cloud optimized GeoTIFF format with internal overviews and masks to facilitate cloud-based queries and display.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, chmrp, coastal-and-marine-hazards-and-resources-program, dennison-mountain, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, landslides, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, sequoia-national-forest, sequoia-national-park, sierra-nevada, south-fork-kaweah-river, state-of-california, structure-from-motion, topographic-maps, topography, tulare-county, u-s-geological-survey, uas, uncrewed-aerial-system, usgs, usgs-67353522d34e6fbce7b5d577
Organization: Department of the Interior
LANDFIRE 2023 40 Scott and Burgan Fire Behavior Fuel Models (FBFM40) Puerto Rico US Virgin Islands

LANDFIRE's 2023 Update (LF 2023) 40 Scott and Burgan Fire Behavior Fuel Models (FBFM40) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Scott &amp; Burgan 2005). The fuel models are described by the most common fire carrying fuel type (grass, grass/shrub, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. FBFM40 contains more fuel models for every fuel type than 13 Anderson Fire Behavior Fuel Models (FBFM13) and the number of fuel models representing relatively high dead fuel moisture content is increased. In FBFM40 fuel models with an herbaceous component are dynamic, to simulate curing, rather than remaining constant. To create the FBFM40 product, expert rulesets were developed to understand how different types of disturbance would change pre-disturbance fuel models to post disturbance fuels, based on the severity and time since disturbance. These rulesets are represented in the LF Total Fuel Change (LFTFC) Tool and Database for both disturbed and non-disturbed areas. In LF 2023 non-disturbed fuels are the same as LF 2016 Remap for natural vegetation. 
To designate disturbed areas where FBFM40 is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.

Tags: biota, fbfm, fbfm40, fire-behavior-fuel-model-40, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2023, lf-2023, oconus, puerto-rico, raster-digital-data, remote-sensing, scott-and-burgan-fire-behavior-fuel-model, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, us-virgin-islands, usgs-673f62f2d34e565ca5dd0a28
Organization: Department of the Interior
Simulated streamflow and statistics at streamgages for the releases of the Hawai‘i NHM-PRMS, 1980–2021

This data release contains inputs for and outputs from hydrologic simulations for the Hawai‘i (HI) domain using the Precipitation Runoff Modeling System (PRMS) version 5.2.1.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). Simulated streamflow stored in this child item (NHM-PRMS_data_release.nc) and statistics at streamgages (gage_stats_gm.csv) are provided for one pre-calibration and two calibration configurations (byHRU, and byPOIobs). The streamgage statistics file provides the Nash-Sutcliffe Efficiency Index between observed and simulated streamflow using daily, log of daily, monthly, and log of monthly values along with the bias, and drainage area for the model and streamgage for each Point-of-Interest (POI) in the simulation. The simulated streamflow file contains simulated and observed streamflow values for each POI in the simulation for 1980-2021. The main landing page provides additional information about the calibrations and a data dictionary (simulated_streamflow_data_dictionary.csv) which describes the simulated streamflow variables.
CONTENTS OF THIS CHILD PAGE:
1. HI_stats_precalibration.zip = Folder containing simulated streamflow and statistics at streamgages from the precalibration release run for the HI domain.
2.  HI_stats_byHRU.zip = Folder containing simulated streamflow and statistics at streamgages from the byHRU release run for the HI domain.
3.  HI_stats_byPOIobs.zip = Folder containing simulated streamflow and statistics at streamgages from the byPOIobs release run for the HI domain.

Tags: hawaii, hydrology, inlandwaters, kahoolawe, kauai, lanai, maui, model, molokai, niihau, oahu, streamflow, streamflow-modeling, usgs-67352578d34e6fbce7b5d383, water-resources
Organization: Department of the Interior
Citations in Environmental Assessments Prepared by the Bureau of Land Management in Colorado from 2015-2019

These data support a study with the purpose of better understanding science and data use in Federal public lands decisions in the United States. To do this, we assessed the number, type, and age of documents cited in 70 Environmental Assessments (EAs) completed by the Bureau of Land Management (BLM) in Colorado from 2015-2019. We focused on the BLM, as they manage the largest area of public lands in the United States. We selected Colorado as our study area, as actions proposed on BLM lands in Colorado are representative of those across the nation. These data resulted in a peer-reviewed publication.

Tags: best-available-science, biota, bureau-of-land-management, citation, colorado, coproduction, interagency-programs, national-environmental-policy-act, natural-resource-management, public-lands, research-management-gap, usgs-67352037d34e6fbce7b5d292
Organization: Department of the Interior
USGS Georgia active streamgages with attributes and their upstream drainage basins, 2024

In cooperation with the Georgia Department of Transportation, the U.S. Geological Survey (USGS) has prepared geospatial layers representing the locations of USGS streamgages, other weather monitoring locations, and upstream drainage basins of streamgages in the State of Georgia. These layers also include streamgages in nearby states which directly measure waters within Georgia. The streamgages have attributes describing their location, elevation, parameters measured, peak flow information, flood frequency region percentage, land cover characteristics, and distance to nearest other streamgage.

Tags: alabama, basin, elevation, environment, farming, floods, florida, gage, geography, georgia, geospatial-datasets, hazard-preparedness, hydrology, inlandwaters, natural-resources, south-carolina, streamflow, streamgage, surface-water, united-states, usgs-6734f5cfd34e6fbce7b5cbf2
Organization: Department of the Interior
Estimated Densities of Residential Septic Tanks across the Conterminous United States for 12-digit Hydrologic Unit Code 12 (HUC12), National Hydrography Dataset Plus Version 2 (NHDPlusV2) Catchment, and Block Group Scales

This dataset provides estimates of residential septic tank densities at 12-digit Hydrologic Unit Code (HUC12), National Hydrography Dataset (NHD Plus version 2.1, 1:100k scale) catchment, and 2020 Census Block Group (version 2021) scale for the conterminous United States. Using United States Legacy Census data from the 1990s and the land use classification from the National Land Cover Database (NLCD), predictive thresholds for wastewater treatment types, such as septic or sewer systems, were developed and applied to the 2020 Census and 2019 NLCD data . The dataset contains three qualitative measures, e.g., High, Medium and Low density estimates, for sewer-supported areas and septic tanks by Census Block Groups using the predictive thresholds. Within areas predicted to be supported by septic tanks, a method was developed to estimate septic tank presence using building footprint datasets from Microsoft and the Federal Emergency Management System (FEMA) and parcel data from the Homeland Infrastructure Foundation-Level Data (HIFLD). The HIFLD parcel datasets contain sensitive information and are subject to data use agreements and restrictions, so individual septic tank locations were summarized by HUC12 watersheds, NHD catchments, and block groups. Densities were calculated as the count of septic tanks per square kilometer. A supplemental layer is included, indicating the completeness of the parcel data at the block group scale, to highlight areas where missing data may lead to possible undercounting of septic tanks. Tabular data files can be joined to corresponding spatial features using the unique IDs provided within the source data (for example FeatureID, HUC12, and GeoID).

Tags: biota, census, contaminants, contamination-and-pollution, conterminous-u-s, conus, ecosystem, environment, ground-water-quality, nitrogen, septic, septic-tank, sewage, sewer, streams, surface-water-quality, usgs-6734c572d34e6fbce7b5c09a, water
Organization: Department of the Interior
Horizon Scan for Vertebrates in Trade

This is a dataset summarizing filtering criteria and rapid risk assessments for ~25,000 species undertaken during a data-driven horizon scan of imported fish, amphibians, reptiles, birds, and mammals. The files represented in this dataset are the following:
1) 'species_filtering_metadata_table.xlsx' is the tabular summary of all intake list species names and the reason for inclusion/exclusion.
2) 'review_scores.xlsx' is the tabular summary of taxa expert risk assessment scores for species included after filtering.
These data will be relayed to the U.S. Fish &amp; Wildlife Service for further assessment and prioritization related to import regulation.

Tags: biota, climate-match, horizon-scan, invasive-species, species-in-trade, usgs-67223973d34e03c333cdd5b9, vertebrates
Organization: Department of the Interior
Aerial video acquired during the UAS survey of the debris flow at South Fork Campground, Sequoia National Park, CA

This portion of the data release presents aerial video acquired during the uncrewed aerial systems (UAS) survey of the debris flow at South Fork Campground in Sequoia National Park, conducted under authorization from the National Park Service. The video shows low-altitude oblique and nadir perspectives of the lower 1.3 kilometers of the debris flow. The video is being included as part of the data release to provide additional context for the geohazards assessment of the area.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, chmrp, coastal-and-marine-hazards-and-resources-program, dennison-mountain, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, landslides, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, sequoia-national-forest, sequoia-national-park, sierra-nevada, south-fork-kaweah-river, state-of-california, structure-from-motion, topographic-maps, topography, tulare-county, u-s-geological-survey, uas, uncrewed-aerial-system, usgs, usgs-67412250d34e90d2c0e2dc78
Organization: Department of the Interior
Geochemical Data for Produced Water and Gas from the Antrim Shale in Michigan, 2023

In 2023, the U.S. Geological Survey, in cooperation with Riverside Energy Michigan, LLC, conducted an injection experiment to monitor the natural rate of biogenic methane generation in the Mortensen A4-24 well which was completed in the Antrim Shale and located in Antrim County, Michigan, United States of America. Approximately 20 barrels (bbl) of produced water was pumped from the well and stored in a tank in the weeks prior to the injection. On June 6, 2023, ~15 bbl of produced water from the tank was mixed with 2 L of deuterated water (D2O) in a pump truck and injected into the Mortensen A4-24 well. An additional ~5 bbl of produced water from the tank was injected to push the D2O labeled slug into the formation. The well was shut in (both gas and produced water) until August 29, 2023. Produced water and gas samples were collected prior to the injection to assess background conditions and after the shut-in period to assess changes to the system due to the injection. Gas samples were also collected during the shut-in period. This data set includes the geochemical analyses of the produced water samples collected, the compositional and isotopic data of the gas sampled, and metaproteomic data synthesized from extraction of filtered particulates.

Tags: antrim-shale, climatologymeteorologyatmosphere, datasets, environment, natural-gas-resources, produced-water, usgs-673b669ad34e689449dca07b, water-quality
Organization: Department of the Interior
Potentiometric surface contours for the Madison aquifer , Black Hills area, South Dakota

This data set represents potentiometric surface contours for
the Madison aquifer, Black Hills, South Dakota.

Tags: black-hills, contour, environment, geoscientificinformation, ground-water, hydrology, inlandwaters, madison-aquifer, madison-limestone, pahasapa-limestone, potentiometric, south-dakota, usgs-6739ba23-745c-456f-b76e-263457af03e8, water-level
Organization: Department of the Interior
LANDFIRE 2023 Forest Canopy Cover (CC) Puerto Rico US Virgin Islands

LANDFIRE's 2023 Update (LF 2023) Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. In fire behavior models, CC supplies information to determine the probability of crown fire initiation, provides input in the spotting model, and aids in calculating wind reductions and fuel moisture conditioning. To create CC, LANDFIRE’s Existing Vegetation Cover (EVC) product must be produced first. EVC is a continuous scaled product which assigns cover to all life forms in the LF data. CC is then derived from EVC by assigning bins of 10% for fuel production and use in fire behavior software. CC is used in the calculation of Forest Canopy Bulk Density (CBD) and Base Height (CBH).  
To designate disturbed areas where CC is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release).  
When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.

Tags: biota, canopy-cover, cc, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2023, lf-2023, 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-673f5e0fd34e565ca5dd0a01
Organization: Department of the Interior
Datasets for Colorado River Basin Salinity Interactive Map

Since its formation, the Colorado River Basin Salinity Control Forum and its partners have completed a substantial amount of work in an ongoing effort to reduce salinity concentrations and loads in the Colorado River. These efforts and related monitoring have generated a large volume of data and information. This U.S. Geological Survey data release includes geospatial datasets that provide information on salinity-related topics and research in the Colorado River Basin. The datasets include background information and study-specific information. These datasets can be viewed in the accompanying interactive map, available at https://usgs.maps.arcgis.com/apps/webappviewer/index.html?id=a9728bc71f854e7da3e79632441b48a7.

Tags: arizona, california, colorado, nevada, new-mexico, salinity, usgs-67224bdcd34e4f57573e88c3, utah, water-quality, wyoming
Organization: Department of the Interior
LANDFIRE 2023 Percent Fire Severity (PFS) AK

Percent Fire Severity (PFS) is three products merged into one. It is a combination product of what was previously (LF 2014 and earlier) known as Percent Mixed, Low, and Replacement Severity. Low severity is defined as less than 25 percent average top-kill within a typical fire perimeter for a given vegetation type. Mixed severity is defined as between 25 and 75 percent average top-kill within a typical fire perimeter for a given vegetation type. Replacement severity is defined as greater than 75 percent average top-kill within a typical fire perimeter for a given vegetation type. To learn more about PFS go to https://landfire.gov/fire-regime/pfs.  
At the release of LF 2016 Remap Fire Regime Groups (FRG_NEW), Percent of Low-severity Fire (PRC_SURFAC), Percent of Mixed-severity Fire (PRC_MIXED), Percent of Replacement-severity Fire (PRC_REPLAC), and Fire Return Interval (FRI_ALLFIR) were included as attributes in the Biophysical Settings (BPS) product. Then in 2024 these products became stand-alone products once again. With the 3 Percent Severity products merged into a single product called Percent Fire Severity (PFS). These products can now be found in both places, as attributes of BPS and as their own individual products.

Tags: ak, alaska, biota, fire-regime, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, percent-fire-severity, pfs, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6737bc62d34ea130d82b39c6
Organization: Department of the Interior
LANDFIRE 2023 Fire Regime Group (FRG) AK

The LANDFIRE Fire Regime Groups (FRG) product characterizes the presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context. FRG definitions have been altered to best approximate the definitions outlined in the Interagency Fire Regime Condition Class Guidebook. To learn more about FRG go to https://landfire.gov/fire-regime/frg.  
At the release of LF 2016 Remap Fire Regime Groups (FRG_NEW), Percent of Low-severity Fire (PRC_SURFAC), Percent of Mixed-severity Fire (PRC_MIXED), Percent of Replacement-severity Fire (PRC_REPLAC), and Fire Return Interval (FRI_ALLFIR) were included as attributes in the Biophysical Settings (BPS) product. Then in 2024 these products became stand-alone products once again. With the 3 Percent Severity products merged into a single product called Percent Fire Severity (PFS). These products can now be found in both places, as attributes of BPS and as their own individual products.

Tags: ak, alaska, biota, fire-regime-group, fires, frg, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2023, lf-2023, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6737b973d34ea130d82b39b7
Organization: Department of the Interior
l376wo.m77t - MGD77 data file for Geophysical data from field activity L-3-76-WO in Washington to Vancouver Island, British Columbia from 06/11/1976 to 06/20/1976

Single-beam bathymetry, gravity, and magnetic data along with DGPS navigation data was collected as part of field activity L-3-76-WO in Washington to Vancouver Island, British Columbia from 06/11/1976 to 06/20/1976, http://walrus.wr.usgs.gov/infobank/l/l376wo/html/l-3-76-wo.meta.html
These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/l/l376wo/html/l-3-76-wo.bath.html, http://walrus.wr.usgs.gov/infobank/l/l376wo/html/l-3-76-wo.grav.html, and http://walrus.wr.usgs.gov/infobank/l/l376wo/html/l-3-76-wo.mag.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, distributions, geoscientificinformation, gravimeter-measurement, gravimetry, juan-de-fuca-ridge, magnetic-anomalies, magnetic-field-observations, magnetometer-measurement, marine-geology, marine-geophysics, marine-gravity-field, marine-magnetic-field, north-pacific-ocean, northern-pacific-ocean, oceans, or, seafloor-topography, single-beam-echo-sounder, usa, usgs-67238266-590b-4f38-b00c-f2bda1b9ee38, wa, washington-oregon, washington-to-vancouver-island-british-columbia, water-depth
Organization: Department of the Interior