AndreaBozzo/ceres-open-data-index huggingface dataset:
LAS dataset of lidar, single-beam and multibeam sonar data collected at Lake Superior at Minnesota Point near the Duluth Entry, Duluth, MN, August 2022

This dataset is a LAS (industry-standard binary format for storing lidar point clouds) dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Lake Superior at Minnesota Point, near the Duluth entry, Duluth, Minnesota. Average point spacing of the LAS files in the dataset are as follows:  lidar, 0.094 meters (m); multibeam sonar, 0.501 m; single-beam sonar, 1.876 m. The LAS dataset was used to create digital elevation models (DEMs) of 10 m (32.8084 feet) and 1 m (3.28084 feet) resolution, of the approximate 1.75 square kilometer surveyed area. Lidar data were collected August 22, 2022 using a boat mounted Velodyne VLP-16 unit and methodology similar to that described by Huizinga and Wagner (2019). Multibeam sonar data were collected August 22-23, 2022 using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit and methodology similar to that described by Richards and Huizinga (2018). Single-beam sonar data were collected August 23, 2022 using a Ceescope echosounder and methodology similar to that described by Wilson and Richards (2006).This project followed similar methods to that of Wagner, Lund, and Sanks (2020), who completed a similar survey in 2019.

Tags: bathymetry, bathymetry-and-elevation, dem, digital-elevation-models, duluth, elevation, great-lakes, hydroacoustic, inlandwaters, lake-superior, las, lidar, limnology, sonar, southwestern-lake-superior, superior, usgs-64b52fefd34e70357a2adc06, xyz
Organization: Department of the Interior
Acoustic backscatter intensity from multibeam echosounder data collected offshore of Point Estero, California

This part of USGS Data Series 781 (Golden, 2019) presents 2-m-resolution acoustic backscatter data for the Offshore of Point Estero, California, map area. Backscatter data were collected by Fugro Pelagos in 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounder systems. The data were post-processed by the California State University Monterey Bay Seafloor Mapping Lab and the University of California Santa Cruz Center for Integrated Spatial Research. The acoustic backscatter data are available as a georeferenced TIFF image. Within the final imagery, brighter tones indicate higher backscatter intensity, and darker tones indicate lower backscatter intensity. The intensity represents a complex interaction between the acoustic pulse and the seafloor, as well as characteristics within the shallow subsurface, providing a general indication of seafloor texture and composition. Backscatter intensity depends on the acoustic source level; the frequency used to image the seafloor; the grazing angle; the composition and character of the seafloor, including grain size, water content, bulk density, and seafloor roughness; and some biological cover. Harder and rougher bottom types such as rocky outcrops or coarse sediment typically return stronger intensities (high backscatter, lighter tones), whereas softer bottom types such as fine sediment return weaker intensities (low backscatter, darker tones).

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, field-observation, geoscientificinformation, geospatial-datasets, image-mosaics, marine-geophysics, multibeam-sonar, pacific-coastal-and-marine-science-center, pcmsc, point-estero, san-luis-obispo-county, sea-floor-acoustic-reflectivity, sea-floor-characteristics, seabed, state-of-california, substrate, u-s-geological-survey, usgs, usgs-cc5e92d1-10af-456d-bcd5-8f7041b0a1cd
Organization: Department of the Interior
Organic and inorganic constituents in surface water and native and non-native fish and frog health data collected from streams, impoundments and wetlands in the New Jersey Pinelands, 2017-2020 (ver. 1.1, August 2022)

The data presented include concentrations of 122 organic, 23 inorganic constituents, and estrogenicity in water collected from 13 off-stream non-point source sites (natural and created wetlands) and eight on-stream point source sites (streams and impoundments) in the New Jersey Pinelands, 2017-2020. Native and non-native fish health data collected from the on-stream sites as well as native frog data collected from the off-stream sites are also included. For the on-stream point-source component, we analyzed water chemistry, hormone activity, and collected native and non-native fish from two locations upstream and one downstream from two municipal wastewater treatment plants (six total sites) and from two minimally impacted locations to serve as reference conditions. For the off-stream non-point source component, we analyzed water chemistry, hormone activity, and collected Green Frogs (Lithobates clamitans) from eight stormwater basins and ponds embedded in altered landscapes and five ponds surrounded by forest land to serve as reference sites. Animals were assessed histologically for measures of endocrine disruption and surface water was analyzed for hormone activity and known or suspected endocrine disrupting compounds (EDCs) including hormones, phytoestrogens, waste indicator compounds and some metals.

Tags: amphibians, anuran, ecology, endocrine-disrupting-chemicals, environmental-health, fish, hormones, inorganics, metals, new-jersey, new-jersey-pinelands, organics, pesticides, pharmaceuticals, united-states, usgs-60a6e633d34ea221ce4bb9e5, wetland-ecosystems, world
Organization: Department of the Interior
2020 Niobrara River Topobathymetric Lidar Validation – USGS Field Survey Data

U.S. Geological Survey (USGS) scientists conducted field data collection efforts between August 17th and 28th, 2020 over a large stretch of the Niobrara River in Nebraska using high accuracy surveying technologies.  The work was initiated as an effort to validate commercially acquired topobathymetric light detection and ranging (lidar) data.  The goal was to compare and validate the airborne lidar data to topographic, bathymetric, structural, and infrastructural data collected through more traditional means (e.g. Global Navigational Satellite System (GNSS) surveying).  The airborne topobathymetric lidar data will be used for characterization of endangered species aquatic habitat, improving the understanding of fluvial geomorphic features, sediment transport modeling, and 2D/3D hydrologic and hydraulic modeling.  The impacts of the spring 2019 flood and resulting Spencer Dam failure will be further assessed and monitored using the lidar data along with testing inland topobathymetric lidar mapping capabilities for inclusion in the USGS National Geospatial Program (NGP) 3D Elevation Program (3DEP).

Tags: 3d-elevation-program, 3dep, airborne-lidar, airborne-topobathymetric-lidar, elevation, fort-niobrara-national-wildlife-refuge, geoscientificinformation, global-navigation-satellite-system, gnss, ground-based-lidar, lidar, lidar-validation, light-detection-and-ranging, location, meadville, missouri-national-recreation-area, national-geospatial-program, ngp-inland-bathymetry-research, niobrara, niobrara-national-scenic-river, niobrara-river, niobrara-state-park, niobrara-valley-preserve, spencer-dam, state-of-nebraska, terrestrial-laser-scanning, topobathy, topobathymetric-lidar, topobathymetry, topographic, total-station, u-s-geological-survey, usgs, usgs-60abcdb5d34ea221ce51e844, village-of-niobrara
Organization: Department of the Interior
CTD (conductivity-temperature-depth) data collected on Stellwagen Bank during U.S. Geological Survey field activity 2014-066-FA, aboard the R/V Auk, November 10, 2014

This field activity is part of the effort to map geologic substrates of the Stellwagen Bank National Marine Sanctuary region off Boston, Massachusetts. The overall goal is to develop high-resolution (1:25,000) interpretive maps, based on multibeam sonar data and seabed sampling, showing surficial geology and seabed sediment dynamics. This cruise was conducted in collaboration with the Stellwagen Bank National Marine Sanctuary, and the data collected will aid research on the ecology of fish and invertebrate species that inhabit the region. The Sanctuary's research vessel, R/V Auk, visited 44 locations on Stellwagen Bank at which a customized Van Veen grab sampler (SEABOSS) equipped with a video camera and a CTD was deployed in drift mode to collect sediment for grain-size analysis, video imagery of the seabed, and measurements of water column properties.

Tags: atlantic-ocean, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, conductivity, ctd, ctd-measurement, depth, environmental-chemistry, fluorescence, geoscientificinformation, marine-chemistry, massachusetts, massachusetts-bay, national-oceanic-and-atmospheric-administration, noaa, north-america, ocean-salinity, ocean-sciences, ocean-temperature, oceanographic-observations, oceans, salinity, sbnms, seabed-observation-and-sampling-system, seaboss, stellwagen-bank, stellwagen-bank-national-marine-sanctuary, temperature, turbidity, u-s-geological-survey, united-states, usgs, usgs-00e74cc9-a0ce-46de-9b1f-f87762123ba4, water-density, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Wind rose plots for the volcano: 266100  Lokon-Empung

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d012a5e4b0236b68f52bca, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Calibration and validation data and model coefficients for mixed conifer vulnerability project from Sequoia and Kings Canyon National Park 2015 to 2019

These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National Park Service data layers. This dataset also includes model coefficients for the top ranked survival models developed as part of the analysis of the calibration data.

Tags: biota, california, droughts, forest-ecosystems, mixed-conifer-forest, remote-sensing, sequoia-and-kings-canyon-national-parks, sierra-nevada, temperate-forest, tree-mortality, usgs-6112bb32d34ed11898f7044c, vegetation, vulnerability
Organization: Department of the Interior
Migration Routes of Mule Deer in the Mesa Population in Wyoming

The Mesa mule deer population is part of the larger Sublette herd that winters in the north-central portion of the Green River Basin, east of the Green River and west of U.S. Highway 191 (fig. 32). The Mesa wintering area supports 3,000 to 5,000 deer that migrate northwest to summer ranges in the Wyoming Range, Gros Ventre Range, and Salt River Range. The Mesa winter range, which has been fragmented by a large natural gas field, has experienced 30–40 percent declines in deer abundance since this development began. Mitigating winter range impacts continues to be a challenge for managers. These migratory deer have benefited from six underpasses and two overpasses constructed along U.S. Highway 191 in 2012; the project has reduced wildlife-vehicle collisions by 85 percent.
These data provide the location of migration routes for mule deer (Odocoileus hemionus) in the Mesa population in Wyoming. They were developed from Brownian bridge movement models using 133 migration sequences collected from a sample size of 33 animals comprising GPS locations collected every 2-8 hours.

Tags: animal-behavior, meeteetse, migration-organisms, migration-route, migratory-species, united-states, usgs-5f8db66882ce32418791d584, wyoming
Organization: Department of the Interior
Hawaiʻi Island ʻōpeʻapeʻa roost stand metrics, 2018–2021

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island. Roost stand metrics were observed and collected from 2018 to 2021. We observed a total of 123 roost trees used by 90 bats (29 female; 58 male; 3 unknown). This data file includes data pertaining to roost stand metrics including, elevation, slope, canopy tree species, and mean canopy height.

Tags: bat-roost, bats, biota, endangered-species, hawaiian-hoary-bat, usgs-647ff217d34eac007b56a7bc, wildlife-biology
Organization: Department of the Interior
Patapsco Terrain models

Terrain models representing river channel and terrestrial surface elevations were developed for use in 2D hydraulic modeling with HEC-RAS software. Channel bed elevations were determined from cross-sectional field surveys (Seneca Creek and Patapsco River) or manual corrections of the LIDAR data (Patuxent River and Little Gunpowder Falls) and integrated with the terrestrial LIDAR data.

Tags: elevation, environment, flood-plain, flood-regime, floodplain, floods-and-hazard-preparedness, hydrogeomorphology, hydrology, inundation, little-gunpowder-falls, maryland, patapsco-river, patuxent-river, seneca-creek, usgs-5b912bcde4b0702d0e8085dd
Organization: Department of the Interior
Datasets for determining the origin of shallow lakes in the Khorezm Province, Uzbekistan, and the history of pesticide use around these lakes

This data release contains the data used to interpret the origin of the shallow lakes in the Khorezm Province, Uzbekistan, and the history of pesticide use around these lakes.  The data include 1) lake sediment core data for age dating (cesium-137 and lead-210) for 12 lakes in Uzbekistan, 2) lake sediment core data for loss on ignition (LOI550)for determining organic carbon content of 12 lakes in Uzbekistan, 3) plant pollen occurrence and abundance from lake sediment cores for 6 lakes in Uzbekistan and 4) lake sediment core data for pesticide occurrence of  DDT (dichlorodiphenyltrichloroethane) and its degradates and γ-HCH (gamma-hexachlorocyclohexane) for 12 lakes in Uzbekistan,   The interpretation of these data will be published in the Journal of Paleolimnology.

Tags: age-dating-radiometric, cesium, cesium-137-dating, khorezm, lead-210-dating, limnogeology, loss-on-ignition-loi, paleolimnology, pesticide-and-herbicide-contamination, pollen-analysis, sediments, urgench, usgs-57b5c00ce4b03bcb0105c980, uzbekistan
Organization: Department of the Interior
Hourly solar radiation in Langleys and three-digit data-source flag associated with the data, January 1, 1948 - September 30, 2015

The text file "Solar radiation.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2015. The primary source of the data is the Argonne National Laboratory, Illinois. The first four columns give year, month, day and hour of the observation. Column 5 is the data in Langleys. Column 6 is the three-digit data-source flag to identify the solar radiation data processing and they indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. Bera (2014) describes in detail an addition of a new flag based on the regression analysis of the backup data series at St. Charles (STC) for water years (WY) 2008–10. The user of the data should consult Over and others (2010) and Bera (2014) for the detailed documentation of this hourly data-source flag series.   
Reference Cited:  
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/. 
Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005-11: U.S. Geological Survey Data Series 870, 18 p., http://dx.doi.org/10.3133/ds870.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, solar-radiation, st-charles-illinois, usgs-57c9ab0ce4b0f2f0cec19223
Organization: Department of the Interior
US Fish and Wildlife Service Fire Atlas- Burn Severity Mosaic for CONUS in 1989

The U. S. Fish and Wildlife Service (FWS) 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. These data products are burned area boundary shapefiles derived from post-fire sensor data (including Landsat TM, Landsat ETM+, Landsat OLI). The pre-fire and post-fire subsets included were used to create Normalized Burn Ratio (NBR) and then a differenced Normalized Burn Ratio (dNBR) image. The objective of this assessment was to generate burned area boundaries for each fire. Data bundles also include post-fire subset, pre-fire subset, NBR, and dNBR images. This map layer is a thematic raster image of burn severity classes for all inventoried fires occurring in CONUS during calendar year 1989. 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: burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, fws, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, prescribed-fire, sentinel, united-states, us, usgs-65b17390d34e36a39044c311, wildfire, wildland-fire
Organization: Department of the Interior
Depth to Transition--Bolinas to Pescadero, California

This part of DS 781 presents data for the depth-to-transition map of the Bolinas to Pescadero, California, region. The raster data file is included in "DepthToTransition_BolinastoPescadero.zip," which is accessible from https://pubs.usgs.gov/ds/781/BolinasToPescadero/data_catalog_BolinasToPescadero.html.
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 Bolinas and Pescadero was generated from seismic-reflection data collected between 2006 and 2010, supplemented with outcrop and geologic structure (fault) 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: california, coastal-geology, distributions, environment, geoscientificinformation, geospatial-datasets, maps-and-atlases, marine-geology, oceans, pacific-ocean, pescadero, physical-habitats-and-geomorphology, san-gregorio, san-mateo-county, sediment-deposition, sediment-thickness, seismic-isopach, seismic-reflection-methods, seismic-reflection-profiling, stratigraphic-thickness, usa, usgs-495c4d3a-864e-4bc9-8432-af33c5b05a7e
Organization: Department of the Interior
Volatile organic compounds in passive soil gas, indoor air, and groundwater samples at the Triangle Chemical Company Superfund Site, Orange County, Texas, 2021–2023

The Triangle Chemical Company Superfund site, in Orange County, Texas, was a chemical mixing and blending facility in the 1970s. According to the Environmental Protection Agency (EPA), poor waste management practices resulted in soil and groundwater contamination and fish-kills in Coon Bayou (U.S. Environmental Protection Agency, 2023). The Five-Year Review of the Triangle Superfund Site indicated groundwater in the upper water-bearing zone might be migrating off-site toward the southwest (U.S. Environmental Protection Agency, 2016). There are concerns regarding potential risks to human health from contaminated soil vapor in existing or future structures in the area.
To evaluate the status of volatile organic compound contamination, the U.S. Geological Survey (USGS), in cooperation with the EPA collected passive soil-gas samples, indoor air quality samples, and groundwater-quality samples at the Triangle Chemical Company Superfund Site. In July 2021, passive soil-gas samplers were deployed at 12 locations which collected samples over a 22-day period and indoor air quality samples were collected at two locations immediately southwest of the Site. Samples for 1,4-dioxane were collected from eight monitoring wells at the site on June 1, 2022. To complement and expand on the July 2021 sampling, the USGS deployed passive soil-gas samplers at 22 additional locations over a 14-day period and collected indoor air quality samples at an additional two locations at the site in May 2023. Passive soil-gas and indoor air quality samples collected during these periods were analyzed for a suite of volatile organic compounds (VOCs). This dataset includes the environmental and quality-control data obtained from July 2021 through June 2023 from the passive soil-gas vapor, indoor air quality, and groundwater-quality samples collected at each sample location.

Tags: 14-dioxane, bridge-city, coon-bayou, environmental-protection-agency, geoscientificinformation, groundwater, indoor-air, orange-county, passive-soil-gas, superfund, texas, triangle-chemical-company, usa, usgs-64b69afad34e70357a2b1fa0, volatile-organic-compounds, water-quality
Organization: Department of the Interior