AndreaBozzo/ceres-open-data-index huggingface dataset:
Gulf Watch Alaska - Pelagic Ecosystems Forage Fish Component - Data from Prince William Sound: Distribution, Abundance, and Morphology of Fish, Zooplankton, and Predators and Oceanographic Conditions

This data package includes 10 child items with data about the distribution, abundance, and morphology of forage fish, zooplankton, and predators, and oceanographic conditions during surveys in Prince William Sound, Alaska.
      Child Item 1: "Forage Fish Catch Data from Prince William Sound, Alaska".
      Child Item 2: "Forage Fish Morphology Data from Prince William Sound, Alaska".
      Child Item 3: "Forage Fish Size, Age, and Energy Density Data from Prince William Sound, Alaska".
      Child Item 4: "Forage Fish Aerial Validation Data from Prince William Sound, Alaska".
      Child Item 5: "Marine Bird and Mammal Survey Data from Prince William Sound, Alaska".
      Child Item 6: "Zooplankton Biomass Data from Prince William Sound, Alaska".
      Child Item 7: "Macrozooplankton Hydroacoustic Index Data from Prince William Sound, Alaska".
      Child Item 8: "Hydroacoustic Survey Data from Prince William Sound, Alaska".
      Child Item 9: "Nutrient Depth Profile Data from Prince William Sound, Alaska".
      Child Item 10: "Conductivity, Temperature, Depth Profile Data from Prince William Sound, Alaska"

Tags: acoustic-backscatter, age-composition, alaska, animals-invertebrates, animals-vertebrates, aquatic-birds, aquatic-mammals, bioenergetics, biomass, biota, calorimetry, capelin, coastal-ecosystems, conductivity, environment, euphausiids, fish, fisheries, fishery-technology, food-fishes, food-web, forage-fish, gulf-of-alaska, hydroacoustics, inorganic-nutrients, macrozooplankton, marine-ecosystems, marine-fishery-resources, marine-mammals, oceans, pacific-sand-lance, pelagic-habitat, photosynthetically-active-radiation, plankton, prince-william-sound, salinity, sandlance, sea-ducks, seabirds, temperature, turbidity, usgs-6440a8b7d34ee8d4ade775a4, zooplankton
Organization: Department of the Interior
Groundwater level dataset from piezometer WP 7 in Las Cienegas National Conservation Area (2012–2021)

This dataset contains groundwater levels collected from a piezometer installed in the alluvial aquifer within Gardner Canyon in the Las Cienegas National Conservation Area. The groundwater levels were recorded by a pressure transducer at one to three hour intervals from March 2, 2012 – August 11, 2021.

Tags: environment, gardner-canyon, groundwater, groundwater-level, las-cienegas-national-conservation-area, usgs-644076a8d34ee8d4ade7278a
Organization: Department of the Interior
Groundwater level dataset from piezometer WP 9 in Las Cienegas National Conservation Area (2012–2021)

This dataset contains groundwater levels collected from a piezometer installed in the alluvial aquifer within Empire Gulch in the Las Cienegas National Conservation Area. The groundwater levels were recorded by a pressure transducer at one to three hour intervals from February 13, 2012 – December 1, 2021.

Tags: empire-gulch, environment, groundwater, groundwater-level, las-cienegas-national-conservation-area, usgs-64407348d34ee8d4ade72016
Organization: Department of the Interior
Tri-axial acceleration data from California condors (Gymnogyps californianus), California, USA

We outfitted nine condors in a flight pen with patagial tags, each with a unique ID, and a proprietary solar powered Global Positioning System-Global System for Mobile Communications (GPS-GSM) telemetry device weighing 50 g (Cellular Tracking Technologies, LLC, Rio Grande, NJ). The units collected tri-axial acceleration data at a rate of 20 Hz. Data were transmitted once daily over cellular networks and then downloaded to a server. For additional details on wing tagging and telemetry of condors, see Poessel et al. (2018).

Tags: accelerometer, animal-behavior, biota, birds, california-condor, classification, ethology, machine-learning, usgs-64403556d34ee8d4ade6d70f, wildlife-biology
Organization: Department of the Interior
Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, September 26, 2020

This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. 
Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the Rio Grande as it grows in tall, thick stands that reduce visibility. In 2015-2016, the Texas State Legislature directed the Texas State Soil and Water Conservation Board (TSSWCB) to “develop and implement a program to eradicate Carrizo cane along the Rio Grande” (Texas Senate Bill 1734). One of the ecosystem-based approaches implemented by TSSWCB was the use of imazapyr and glyphosate herbicides. To better understand the effects of the herbicide treatment on the targeted vegetation, the U.S. Geological Survey (USGS) in cooperation with TSSWCB, acquired high-resolution WorldView-3 Standard Imagery on 3 days to assess Arundo cane extent along the reach before, during, and after the herbicide treatment period (June 30, 2020, September 26, 2020, and May 07, 2021, respectively). Following a similar methodology described by Yang and others (2009), the assessment was completed by computing a maximum likelihood supervised classification on WorldView-3 imagery to estimate the areas covered by Arundo cane, water, and mixed cover on a one-mile buffer, east of the Rio Grande on the Texas side of the Mexico/United States border. Water-quality data associated with the herbicide treatment were collected from a segment of the Rio Grande in conjunction with the acquisition of the imagery data. The water-quality data are available in a separate USGS data release (Crow, 2021).

Tags: arundo-cane, arundo-donax, biota, carrizo-cane, geospatial-analysis, giant-reed, image-analysis, inlandwaters, multispectral-imaging, panchromatic-imaging, rio-grande, texas, usgs-644006a6d34ee8d4ade6cf31, webb-county
Organization: Department of the Interior
Arundo donax (Arundo Cane) Image Classification along the Rio Grande in Webb County, Texas, June 30, 2020

This dataset contains a thematic [classified] image derived from supervised classification of WorldView-3 satellite imagery. This data release contains a geospatial thematic (raster) image derived from a supervised classification of WorldView-3 satellite imagery obtained during 2020–21. 
Arundo donax (Arundo cane, giant reed, or Carrizo cane), is an invasive bamboo-like perennial grass most common to riparian areas throughout the southwestern United States. Because it displaces native riparian vegetation, Arundo cane has greatly disrupted the health of riparian ecosystems in the southwestern United States and northern Mexico during the past 50 years. Arundo cane also has created border security problems along the Rio Grande as it grows in tall, thick stands that reduce visibility. In 2015-2016, the Texas State Legislature directed the Texas State Soil and Water Conservation Board (TSSWCB) to “develop and implement a program to eradicate Carrizo cane along the Rio Grande” (Texas Senate Bill 1734). One of the ecosystem-based approaches implemented by TSSWCB was the use of imazapyr and glyphosate herbicides. To better understand the effects of the herbicide treatment on the targeted vegetation, the U.S. Geological Survey (USGS) in cooperation with TSSWCB, acquired high-resolution WorldView-3 Standard Imagery on 3 days to assess Arundo cane extent along the reach before, during, and after the herbicide treatment period (June 30, 2020, September 26, 2020, and May 07, 2021, respectively). Following a similar methodology described by Yang and others (2009), the assessment was completed by computing a maximum likelihood supervised classification on WorldView-3 imagery to estimate the areas covered by Arundo cane, water, and mixed cover on a one-mile buffer, east of the Rio Grande on the Texas side of the Mexico/United States border. Water-quality data associated with the herbicide treatment were collected from a segment of the Rio Grande in conjunction with the acquisition of the imagery data. The water-quality data are available in a separate USGS data release (Crow, 2021).

Tags: arundo-cane, arundo-donax, biota, carrizo-cane, geospatial-analysis, giant-reed, image-analysis, inlandwaters, multispectral-imaging, panchromatic-imaging, rio-grande, texas, usgs-643fff1bd34ee8d4ade6ceda, webb-county
Organization: Department of the Interior
Data Support for a Statistical Perspective on the Petrologic Utility of Polyphase Groundmass Compositions Inferred Via Defocused Beam Electron Probe Microanalysis

This dataset contains major and trace element compositions for a sample of basalt recovered from Rangitoto Island, New Zealand. Both bulk rock and microanalytical observations are made and presented. Electron probe microanalysis (EPMA) results detail the compositions of individual phases within the basalt including olivine, clinopyroxene, plagioclase feldspar, glass, and polyphase microcrystalline groundmass. Laser ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) results detail trace element compositions for the glass as well as on select olivine grains. X-Ray fluorescence (XRF) data detailing major and minor element oxide concentrations were gathered using bulk rock powders. Additional tables detail the statistical analysis of the microanalytical data. Outliers within the glass and groundmass data populations were identified, and the summary statistics of this quality control processing are presented in a separate table. The trimmed glass and groundmass data are presented separately. In this data table, the compositions are provided after transformation into isometric- and centered log-ratio coordinates (for an explanation of these coordinates, please see the associated publication).

Tags: basalt, geoscientificinformation, microanalysis, new-zealand, polyphase, rangitoto-island, usgs-643f0a8cd34ee8d4ade5e0dd, volcanism
Organization: Department of the Interior
Empire Gulch Spring Discharge Near Spring Source in Las Cienegas National Conservation Area (2007–2021)

This dataset contains discrete spring discharge measurements collected monthly near the Empire Spring orifice for years 2007–2021.

Tags: empire-gulch, environment, las-cienegas-national-conservation-area, surface-water-non-marine, usgs-644076e0d34ee8d4ade7280e
Organization: Department of the Interior
MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York

This model archive contains files for a set of groundwater flow, particle tracking, and management optimization models that simulate the area around the Navy-Northrop-Grumman contamination plume on Long Island, New York. These models were developed as insets from the Long Island Regional “parent” Model, from which perimeter boundary conditions were inherited. In addition to input and output files for these models, this archive contains the modeling workflow python code and source data used to build the model. These materials have been included for repeatability and decision transparency.

Tags: bethpage, decision-support-methods, groundwater, groundwater-flow, groundwater-quality, hydrogeology, long-island, long-island-west, mathematical-modeling, model, modflow-6, modflow6, modpath-7, modpath7, nassau-county, new-york, numerical-modeling, optimization, oyster-bay, pest, public-supply-water-use, remediation, united-states, usgs-643eff8cd34ee8d4ade5e093, usgsgroundwatermodel, water-availability
Organization: Department of the Interior
Geospatial extent of the study area and additional geospatial buffer for Mobile and Perdido bays contributing watersheds in the southeastern United States

The U.S. Geological Survey (USGS) Lower Mississippi-Gulf Water Science Center (LMGWSC) in collaboration with the U.S. Environmental Protection Agency and funded through the Resources and Ecosystems, Sustainability, Tourist, Opportunities, and Revived Economies of the Gulf Coast States Act (RESTORE Act) are conducting a multiyear multistate study to analyze the alteration and trends of streamflow delivery to the Gulf of Mexico; the results of of which are used in an OASIS model decision support tool (Hazen and Sawyer, New York, NY, USA). To fully develop the OASIS model, a geospatial polyline boundary delineating the Mobile and Perdido bays OASIS streamflow prediction model study area was created. The spatial extent of this polyline includes the upstream contributing drainage area of Mobile and Perdido bays, encompassing Mobile-Tombigbee (HUC04 0316), Alabama (HUC04 0315), Perdido (HUC08 03140107), and Perdido Bay (HUC08 03140106) watersheds. Another geospatial polyline is provided and is a buffer around the study area. The buffer is bounded by the drainage divide of the Mississippi River to the west, the drainage divide of the Apalachicola-Chattahoochee-Flint River System to the east, and the drainage divide of the Tennessee River to the north. The purpose of the buffer is to provide a geographic extent larger than the study area that can be used to filter data used in regional modeling. Having training data adjacent to the study area can limit error associated with regional modeling at the geographic edges of the study area. The statistical buffer spatial extent was delineated using well-known geographic information system tools and the National Hydrography Dataset Hydrologic Unit Code geospatial files and other infrastructure.

Tags: alabama, biota, environmental-flow, georgia, gulf-coast, louisiana, mississippi, reference-hydrology, restore, southeastern-united-states, streamflow-alteration, usgs-643ec8b4d34ee8d4ade5db9e
Organization: Department of the Interior
Airborne radiometric survey, Boulder Batholith region, Montana, 2022

This data release provides digital flight line data for a high-resolution airborne radiometric survey over parts of Montana in the vicinity of the Boulder Batholith. The airborne survey was jointly funded by the Earth Mapping Resources Initiative and Kennecott Exploration Company. The survey was designed to meet complementary needs related to geologic mapping and characterization of mineral resource potential. A total of 34,041-line km of magnetic and radiometric data were acquired over an irregular-shaped area of 6178 km2. Data were collected from a helicopter flown at a nominal terrain clearance of 100 meters (m) above topography along E-W flight lines spaced at 200 m intervals. Tie lines were flown in an N-S direction every 2000 m. Data were collected by Sander Geophysics Limited (SGL), and Dewberry Engineers, Inc. under contract with the USGS using a helicopter with a fully calibrated gamma-ray spectrometer. The survey operated out of the Butte, Montana, airport from June of 2022 to August of 2022. Files that are available in this child item include data for the radiometric survey and geotiffs of the gridded results.

Tags: aasg, aeromagnetic-survey, aeroradiometric-survey, airborne-geophysical-survey, association-of-state-geologists, biota, boulder-mountains, boulder-river, broadwater-county, butte, crow-creek, deerlodge-national-forest, earth-mapping-resources-initiative, earthmri, economic-geology, elkhorn-mountains, geology-geophysics-and-geochemistry-science-center, geophysics, geospatial-datasets, gggsc, helena, helena-national-forest, jefferson-county, lewis-and-clark-county, little-blackfoot-river, magnetic-field-earth, mineral-resources, mineral-resources-program, montana, mrp, national-cooperative-geologic-mapping-program, potassium, powell-county, prickly-pear-creek, sedimentology, structural-geology, thorium, twin-bridges, u-s-geological-survey, united-states, united-states-of-america, uranium, usa, usgs, usgs-643ebd2bd34ee8d4ade5db65, whitetail-valley
Organization: Department of the Interior
Airborne magnetic survey, Boulder Batholith region, Montana, 2022

This data release provides digital flight line data for a high-resolution airborne magnetic survey over parts of Montana in the vicinity of the Boulder Batholith. The airborne survey was jointly funded by the Earth Mapping Resources Initiative and Kennecott Exploration Company. The survey was designed to meet complementary needs related to geologic mapping and characterization of mineral resource potential. A total of 34,041-line km of magnetic and radiometric data were acquired over an irregular-shaped area of 6178 km2. Data were collected from a helicopter flown at a nominal terrain clearance of 100 meters (m) above topography along E-W flight lines spaced at 200 m intervals. Tie lines were flown in an N-S direction every 2000 m. Data were collected by Sander Geophysics Limited (SGL), and Dewberry Engineers, Inc. under contract with the USGS using a helicopter with a magnetometer mounted in a stinger. The survey operated out of the Butte, Montana, airport from June of 2022 to August of 2022.  Files that are available in this child item include flight line data for the magnetic survey, grids, and a geotiff of the gridded total-field anomalies.

Tags: aasg, airborne-geophysical-survey, association-of-state-geologists, biota, boulder-mountains, boulder-river, broadwater-county, butte, crow-creek, deerlodge-national-forest, earth-mapping-resources-initiative, earthmri, economic-geology, elkhorn-mountains, geology-geophysics-and-geochemistry-science-center, geophysics, geospatial-datasets, gggsc, helena, helena-national-forest, jefferson-county, lewis-and-clark-county, little-blackfoot-river, magnetic-field-earth, mineral-resources, mineral-resources-program, montana, mrp, national-cooperative-geologic-mapping-program, powell-county, prickly-pear-creek, sedimentology, structural-geology, twin-bridges, u-s-geological-survey, united-states, united-states-of-america, usa, usgs, usgs-643eb3b0d34ee8d4ade5db3c, whitetail-valley
Organization: Department of the Interior
August, 2022, airborne lidar survey of Mount St. Helens crater, upper North Fork Toutle River, and South Fork Toutle River

The lateral blast, debris avalanche, and lahars of the May 18th, 1980, eruption of Mount St. Helens, Washington, dramatically altered the surrounding landscape. Lava domes were extruded during the subsequent eruptive periods of 1980-1986 and 2004-2008. During 2022, U.S. Army Corps of Engineers contracted the acquisitions of airborne lidar surveys of Mount St. Helens crater and two primary drainages–upper North Fork Toutle River and South Fork Toutle River with GeoTerra, Inc. The U.S. Geological Survey generated a terrain dataset from the classified point cloud with supplied breaklines and modified lake hydro-flattening, then exported a single digital elevation model (DEM) of the ground surface (that is, 'bare earth'), including beneath forest cover. This USGS data release contains digital elevation and shaded relief data as 3-foot resolution raster datasets (2022dem.tif and 2022demhs.tif, respectively). This DEM can support a variety of earth science investigations.

Tags: biota, cascade-range, cowlitz-county, dem, digital-elevation-model, elevation-data, geomorphology, hydrology, lidar, loowit, mount-st-helens, north-fork-toutle-river, sediment, south-fork-toutle-river, topography, toutle-river, usa, usgs-643ddfc1d34ee8d4ade5b1ea, volcanic-landforms, volcano, wa
Organization: Department of the Interior
Data used to model and map lithium concentrations in groundwater used as drinking water for the conterminous United States

This data release contains data used to develop models and maps that estimate the occurrence of lithium in groundwater used as drinking water throughout the conterminous United States. An extreme gradient boosting model was developed to estimate the most probable lithium concentration category (≤4, &gt;4 to ≤10, &gt;10 to ≤30 or &gt;30 µg/L). The model uses lithium concentration data from wells located throughout the conterminous United States and predictor variables that are available as geospatial data. The model is included in this data release in the zipped folder named Model_Archive and was used to produce maps that are also included in this data release. The model input data (predictor variables) that were used to make the maps are within a zipped folder (Map_Input_Data.zip) that contains 20 tif-raster files, one for each model predictor variable. The map probability estimates that are outputs from the model are in a zipped folder (Map_Output_Data.zip) that contains 10 tif-raster files, two model estimate maps for each of the lithium concentration categories and the category with the highest probability for public supply well depths and domestic supply well depths.

Tags: environment, groundwater-quality, health, lithium, usgs-643a9ad1d34ee8d4ade3b4b3
Organization: Department of the Interior
Nahant to Gloucester, Massachusetts Maximum Likelihood Bottom Classification (mlclass5)

These data are high-resolution maximum likelihood classification of the seafloor offshore of Massachusetts, from Nahant to Gloucester.  Approximately 127 km²  of the inner shelf were mapped in the nearshore region between the 10m and  40-m isobath.

Tags: 2003, 2004, arcgis-raster, atlantic-ocean, bathymetry, bottom-classification, bottom-type, cmgp, coastal-and-marine-geology-program, elevation, field-activity-serial-number-rafa03007, field-activity-serial-number-rafa04002, geoscientificinformation, geospatial-datasets, gloucester, imagerybasemapsearthcover, interferometric-sonar, marine-geology, massachusetts-bay, nahant, salem-sound, scientific-interpretation, sea-floor-characteristics, seafloor, south-essex-ocean-sanctuary, swath-bathymetry, u-s-geological-survey, usgs, usgs-643a1c40-a9e7-4728-af6f-7fda783d1961, whsc, woods-hole-science-center
Organization: Department of the Interior
Hawaiʻi Island ʻōpeʻapeʻa (Hawaiian hoary bat) roost data, 2018–2021

Hawaiian hoary bats ('ōpe'ape'a; Lasiurus semotus) were captured and tracked back to roosting locations on Hawaiʻi Island from 2018-2021. We examined resource selection at multiple spatial scales - perch location within a roost tree, roost tree, and forest stand. We used a discrete choice modeling approach to investigate roost selection and describe attributes of day-roost trees including those used as maternity roosts. ‘Ōpe‘ape‘a were found roosting in a variety of tree species and in an assortment of habitat types including native and non-native habitats. 
This data release consists of six tabular datasets: (1) Hawaiʻi Island ʻōpeʻapeʻa roost perch metrics, 2019–2021, (2) Hawai‘i Island ʻōpeʻapeʻa roost tree metrics, 2018–2021, (3) Hawaiʻi Island ʻōpeʻapeʻa random tree metrics, 2018-2021, (4) Hawaiʻi Island ʻōpeʻapeʻa roost stand metrics, 2018-2021, (5) Hawaiʻi Island ʻōpeʻapeʻa random stand metrics, 2018-2021, and (6) Hawaiʻi Island ʻōpeʻapeʻa roost thermal video monitoring, 2020-2021.

Tags: bat-roost, bats, biota, endangered-species, hawaiian-hoary-bat, usgs-6439eae3d34ee8d4ade2c356, wildlife-biology
Organization: Department of the Interior