AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2015 Site 1738 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-593876c5e4b0764e6c5d6c6f, wetland
Organization: Department of the Interior
UAS video of the 2018 summit eruption of Kīlauea Volcano—August 1-31, 2018

This dataset contains Unoccupied Aircraft Systems (UAS) footage from the 2018 summit collapse of Kīlauea Volcano, Island of Hawai‘i. The intrusion of magma into Kīlauea’s lower East Rift Zone triggered draining of the summit lava lake and magma withdrawal from the shallow reservoir. This resulted in 62 subsequent collapse events at the summit between May and early-August 2018. Each collapse event released energy equivalent to a magnitude-5.3 earthquake. The total collapse volume was about 0.8 km^3, with subsidence of more than 500 m in some places. There are 73 UAS videos in this publication, recorded from May 19 to September 5, which have been separated into subpages by month. Sub-pages for each month also contain a ReadMe text file with information pertaining to the videos, including flight end time, video duration, take off/landing location, keywords, and aircraft name. UAS flights were conducted with permission and in coordination with Hawai‘i Volcanoes National Park. 
UAS footage from the 2018 eruption of Kīlauea Volcano’s lower East Rift Zone is also available [https://www.sciencebase.gov/catalog/item/5ea8b45482cefae35a1faf94].

Tags: biota, caldera-collapse, hawaii, kilauea-caldera, kilauea-summit, kilauea-volcano, unoccupied-aircraft-systems-uas, usa, usgs-5f46c64182ce4c3d122577ef, video, volcanic-ash, volcanic-eruption, volcanic-gas-emissions
Organization: Department of the Interior
Geospatial Sampling Information for the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska

This data package contains geospatial layers used for selecting bird survey locations in the Arctic Network of National Parks.
      1)"ARCN_park_boundary" is a summary of park, preserve, and monument boundaries of Arctic Network lands, except those within Bering Land Bridge National Monument. 
      2)"ARCN_sample_plots" represents the 69, 10 X 10 km sample blocks surveyed and inventoried from 2001-2003 during US Geological Survey's National Park Service (NPS)-sponsored Inventory and Monitoring project.
      3)"ARCN_sample_points" is a summary of the 1,652 locations at which bird surveys were conducted from 2001-2003 during US Geological Survey's NPS-sponsored Inventory and Monitoring project.
      4)"ARCN_subsections", "ARCN_subsections_grtr100m", "ARCN_subsections_grtr100m_diss_sect", and "ARCN_subsections_grtr100m_diss_subs" are an ecoregional map that delineates the ecoregions, sections, subsections and detailed subsections of Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, and Noatak National Park and Preserve.
      5)"BELA_boundary" is a summary of Bering Land Bridge National Preserve lands.  Data used in preparation of the maps were obtained from USGS 1:250,000 topographic maps depicting the ANILCA boundaries compiled in 1980 by the Interior Alaska Planning Group.
      6)"BELA_sample_area" and "BELA_sample_points" represent the locations at which bird surveys were conducted in 1988-1989, 1991, and 2000 in or adjacent to Bering Land Bridge National Preserve.

Tags: alaska, alpine-tundra, animals-vertebrates, avian-abundance, baird-mountains, bering-land-bridge-national-preserve, biogeography, biological-productivity, biota, birds, brooks-range, burnt-river, cape-krusenstern-national-monument, community-ecology, community-structure, de-long-mountains, distribution, ear-mountain, endicott-mountains, environment, gates-of-the-arctic-national-park-and-preserve, habitat-preferences, habitats, hannum-creek, igichuk-hills, kobuk-valley-national-park, migratory-birds, mulgrave-hills, noatak-national-preserve, schwatka-mountains, seasonal-distribution, serpentine-hot-springs, seward-peninsula, species-richness, terrestrial-ecosystems, usgs-asc583, waring-mountains, wildlife
Organization: Department of the Interior
Seepage-run discharge measurements, November 28, 2018, Honomuni Gulch, Moloka'i, Hawai'i

This data release contains a comma-delimited ascii file of four same-day, discrete discharge measurements made at sites along selected reaches of Honomuni Gulch, Moloka'i, Hawai'i on November 28, 2018. These discrete discharge measurements form what is commonly referred to as a “seepage run.” The intent of the seepage run is to quantify the spatial distribution of streamflow along the reach during fair-weather, low-flow conditions, generally characterized by negligible direct runoff within the reach. The measurements can be used to characterize the net seepage of water into (water gain) or out of (water loss) the stream channel between measurement sites provided that the measurements were made during stable, nonchanging flow conditions (or, in some cases, were made simultaneously during transient flow conditions) and external surface inflows (for example, a tributary) or outflows (for example, a diversion) of water to the reach are quantified and accounted for in the computation of net seepage.

Tags: hawaii, honomuni-gulch, hydrologic-datasets, hydrology, inlandwaters, molokai, river-reaches, state-of-hawaii, stream-gage-measurement, streamflow, surface-water-non-marine, usgs-632b82e8d34e900e86c50b04, water-resources
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0185 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2021 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-64dce1c9d34e5f6cd5528020, wetland, wetland-restoration
Organization: Department of the Interior
Data and Photographs from the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska - Cape Krusenstern, Gates of the Arctic, Kobuk Valley, and Noatak

This package contains seven tables of avian and habitat survey data from four parks (Cape Krusenstern National Monument, Gates of the Arctic National Park and Preserve, Kobuk Valley National Park, Noatak National Preserve) of the Arctic National Park Network (ARCN), Alaska. Tables include: 1) characteristics of bird survey sites, 2) vegetation classification at survey sites, 3) shorebird and predator detection surveys, 4) all bird species detection surveys, 5) bird breeding observations, 6) taxonomic details of detected birds, and 7) point count habitat photos. Additionally, geospatial data corresponding to subsections, survey plots, and points are included with this data release in folder "montaneBirdInventory_geospatial_ARCN".

Tags: alaska, alpine-tundra, animals-vertebrates, avian-abundance, baird-mountains, biogeography, biological-productivity, biota, birds, brooks-range, cape-krusenstern-national-monument, community-ecology, community-structure, de-long-mountains, distribution, endicott-mountains, environment, gates-of-the-arctic-national-park-and-preserve, habitat-preferences, habitats, igichuk-hills, kobuk-valley-national-park, migratory-birds, mulgrave-hills, noatak-national-preserve, schwatka-mountains, seasonal-distribution, species-richness, terrestrial-ecosystems, usgs-asc584, waring-mountains, wildlife
Organization: Department of the Interior
Data and Photographs from the Inventory of Montane-nesting Birds in the Arctic Network of National Parks, Alaska - Bering Land Bridge National Preserve

This package contains seven tables of avian and habitat survey data from Bering Land Bridge National Preserve; part of the Arctic National Park Network (ARCN), Alaska. Tables include: 1) characteristics of bird survey sites, 2) vegetation classification at survey sites, 3) shorebird and predator detection surveys, 4) spot check bird surveys, 5) all bird species detection surveys, 6) taxonomic details of observed birds, and 7) point count habitat photos. Additionally, geospatial data corresponding to subsections, survey plots, and points are included with this data release in folder "montaneBirdInventory_geospatial_BELA". All data pertaining to the Bering Land Bridge National Preserve is also released as part of a study on Bristle-thighed Curlew abundance and habitat use on the Seward Peninsula.
      Note: The data presented in this release were collected following an unpublished protocol (C. Handel et al. unpubl., USGS ASC, Anchorage, AK).

Tags: alaska, alpine-tundra, animals-vertebrates, avian-abundance, bering-land-bridge-national-preserve, biogeography, biological-productivity, biota, birds, burnt-river, community-ecology, community-structure, distribution, ear-mountain, environment, habitat-preferences, habitats, hannum-creek, migratory-birds, seasonal-distribution, serpentine-hot-springs, seward-peninsula, species-richness, terrestrial-ecosystems, usgs-asc585, west-bat, wildlife
Organization: Department of the Interior
Diet Composition of Southern Beaufort Sea Polar Bears Sampled in Spring from 2004 to 2016 Estimated with Quantitative Fatty Acid Signature Analysis

These data are estimates of the proportional contributions of bearded seal, beluga whale, bowhead whale, and ringed seal to the diets of southern Beaufort Sea polar bears. Fat biopsy samples were collected from polar bears captured or biopsy darted along the north coast of Alaska or on offshore ice during March, April, and May from 2004 to 2016. Fatty acid data of the above four prey species were compiled from online sources (Bromaghin et al. 2015ab, USGS 2021) and one private source that has been used in several polar bear diet studies (Thiemann et al. 2008). Diet composition was estimated from polar bear adipose tissue fatty acid composition data (USGS 2023) using three methods: the original quantitative fatty acid signature analysis model (Iverson et al. 2004, McKinney et al. 2017) and two alternative methods based on recommendations by Bromaghin et al. (2015c, 2016ab, 2017).

Tags: alaska, animals-vertebrates, balaena-mysticetus, bearded-seal, bears, beaufort-sea, beluga-whale, biota, bowhead-whale, carnivores, coastal-ecosystems, delphinapterus-leucas, diets, environment, erignathus-barbatus, fatty-acids, mammals, marine-ecosystems, marine-mammals, pinniped, polar-bear, pusa-hispida, ringed-seal, seals-sea-lions-walruses, threatened-species, ursus-maritimus, usgs-asc580, wildlife
Organization: Department of the Interior
Common Murre Disturbance Data on Gull Island, Kachemak Bay, Alaska

This dataset consists of one table with predator disturbance information from the Common Murre breeding season (June-August) from 2016-2020 on Gull Island, Kachemak Bay, Alaska.

Tags: alaska, animal-behavior, animals-vertebrates, bald-eagle, biota, birds, breeding-sites, breeding-success, coastal-ecosystems, common-murre, community-dynamics, community-ecology, cook-inlet, eagles-falcons-hawks-and-allies, ecosystem-functions, egg-production, environment, field-inventory-and-monitoring, glaucous-winged-gull, gulf-of-alaska, gull-island, haliaeetus-leucocephalus, herring-gull, kachemak-bay, larus-argentatus, larus-glaucescens, marine-ecosystems, nesting-behavior, reproduction, uria-aalge, usgs-asc586, waders-gulls-auks-and-allies
Organization: Department of the Interior
Movement Data for Migrating Geese Over the Northeast Pacific Ocean, 2018-2021

This dataset consists of one table with a record (row) for each goose location and columns containing location information and covariates. The dataset was used in an analysis of altitude selection and flight propensity in an accompanying paper (Weiser et al. 2024) and is being provided here to allow replication of that analysis. Goose locations (latitude, longitude, and altitude) were collected with GPS tags and represent three subspecies: Pacific Greater White-fronted Goose, Tule Greater White-fronted Goose, and Lesser Snow Goose. Covariates include weather information from ERA5 (Hersbach et al. 2022). In addition to the "used" locations (altitudes at which birds were recorded), the dataset also includes "available" locations: altitude bands that the bird could have reached by that time, given its previous altitude, elapsed time, and maximum climb rate.

Tags: alaska, animal-behavior, animal-tracking, animals-vertebrates, anser-albifrons-elgasi, anser-albifrons-sponsa, anser-caerulescens-caerulescens, biota, birds, british-columbia, california, ducks-geese-swans, environment, geospatial-datasets, gps, greater-white-fronted-goose, human-impacts, human-wildlife-interactions, marine-ecosystems, migration-organisms, migratory-birds, migratory-rates-routes, oregon, pacific-ocean, pelagic-habitat, seasonal-movement, snow-goose, usgs-asc587, washington, waterfowl
Organization: Department of the Interior
Morphological Measures of Pacific Walruses Collected in the Chukchi and Bering Seas 1972-1991

This dataset contains morphological measures of Pacific walruses sampled in the Chukchi and Bering Seas between 1972 and 1991. From 1972 through 1991 the Soviet Union employed industrial methods to harvest and process Pacific walruses to enhance the Russian Far East economy. Under the oversight of the Pacific branch of the Soviet All-Union Scientific Investigational Institute of Marine Fisheries and Oceanography (VNIRO), offshore harvesting crews worked from specialized marine mammal hunting ships (ZRS) throughout the spring, summer, and early autumn in the marginal sea ice habitats of the Bering and Chukchi Seas. They launched small (~7 m) wooden boats to approach walruses resting on ice pans, which were dispatched with standard hunting rifles. Harvested walruses were hauled back to the ZRS vessel for processing. Soviet cruises that contributed data to this dataset include ZRS Zagoriany (1976 spring), Surveyor (1978 spring), ZRS Zubarevo (1978), ZRS Zagorskii (1980 March 6 - April 23), ZRS Zvyagino (1981 February - March), KS Entuziast (1982 July 25 - August 23), ZRS Zakharova (1984 autumn, 1985 March 15 - April 26 and 1987 autumn), ZRS Zaslonovo (1991 March 28 - May 21).
      Beginning in 1981 harvesting extended into United States waters of the Pacific Arctic with permission of the National Oceanic and Atmospheric Administration (NOAA) under the auspices of the 1972 Area V bilateral agreement in the area of the environment. This bilateral agreement enabled direct liaison between Soviet and U.S. biologists who then arranged to collaborate collecting data from these offshore harvest efforts that may be used to understand basic walrus biology and monitor changes in their condition and reproductive success. Throughout the harvesting efforts, trained biologists inspected, measured, and weighed walrus specimens that had been landed onto the processing vessel. Harvest locations, observations, and measurements were recorded into numbered journals and standardized datasheets. This dataset contains these data. Originally these data were managed by VNIRO, however, to promote data curation during the post-Soviet period VNIRO formed an agreement with USGS Alaska Science Center (which at the time was the U.S. National Biological Survey) to maintain a copy of these data and provide access to them for studies vetted by representatives of the original data collection agency. This current database is published with permission of the original data curator, Dr. Yuri Bukhtiyarov.

Tags: alaska, animal-morphology, animals-vertebrates, bering-sea, biota, body-composition, carnivores, chukchi-sea, coastal-ecosystems, environment, mammals, marine-ecosystems, marine-mammals, odobenus-rosmarus-divergens, pacific-walrus, pinniped, russia, seals-sea-lions-walruses, species-life-history, threatened-species, usgs-asc589, walrus, wildlife
Organization: Department of the Interior
PeakFQ version 7.1 specifications file for 12 peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017.

This file (wymt_ffa_2017A.psf) contains specifications to run PeakFQ version 7.1 for 12 peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017.

Tags: jefferson-county, montana, peak-flow-data, streamflow-data, streamgage-measurement, usgs-5c76f5aee4b0fe48cb4c8d3f
Organization: Department of the Interior
Data from "Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning"

Accurate, high-resolution maps of bedrock outcrops are extremely valuable. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock maps. This data release contains training data created for developing a machine learning model capable of identifying exposed bedrock across the entire Sierra Nevada Mountains (California, USA). The training data consist of 20 thematic rasters in GeoTIFF format, where image labels represent three categories: rock, not rock, and no data. These training data labels were created using 0.6-m imagery from the National Agriculture Imagery Program (NAIP) acquired in 2016. Eight existing labeled sites were available from Petliak et al. (2019), an earlier effort. We further revised those labels for improved accuracy and created additional 12 reference sites following the same protocol of semi-manual mapping in Petliak et al. (2019).
A machine learning model (https://github.com/nasa/delta) was trained and tested based on these image labels  as detailed in Shastry et al. (in review). The trained model was then used to map exposed bedrock across the entire Sierra Nevada region using 2016 NAIP imagery, and this data release also includes these model outputs. The model output gives the likelihood (from 0 to 255) that each pixel is bedrock, and not a direct binary classification. The associated publication used a threshold of 50%, or pixel value 127, where all pixel values 127 or higher are classified as rock and less than as not rock.

Tags: bedrock, geoscientificinformation, remote-sensing, usgs-6489cf31d34ef77fcafe5b7c
Organization: Department of the Interior
Electrical Resistivity Tomography in the Anza-Terwilliger Valley, Riverside County, California 2018

The Cahuilla Valley and Terwilliger Valley groundwater basins, 9-006 and 7-026 respectively (California Department of Water Resources 2016) located approximately 25 miles southwest of Palm Springs, are the sole-source for groundwater supply for the rural disadvantaged community and two Native American Tribes, the Ramona Band of Cahuilla and the Cahuilla. The characteristics and sustainable yield of the Cahuilla Valley and Terwilliger Valley groundwater basins are not well understood and are threatened by increasing water use and potential changes in water sustainability related to climate change. Previous USGS studies of the Cahuilla-Terwilliger Valley groundwater basins defined the thicknesses and characteristics of the alluvial sediments that constitute the main water-bearing unit of the aquifer system and identified where wells completed in the underlying fractured bedrock are located (Moyle, 1976; Landon and others, 2015; Woolfenden and Bright, 1988). However, although the fractured bedrock is an important part of the aquifer system for domestic and some irrigation supply, the thickness and hydraulic characteristics of the fractured bedrock are not well understood (Landon and others, 2015; Moyle 1976). Existing gravity data identified a possible conduit for groundwater flow beneath Cahuilla Creek in the Cahuilla and Durasno Valleys (Landon and others, 2015). Electrical resistivity tomography (ERT) data was collected in August 2018 to evaluate the cross-sectional depth to bedrock underlying a narrow section of Durasno Valley, and to help select locations for groundwater monitoring wells. Data from two transects were collected perpendicular to Cahuilla Creek, and offset by approximately 600 meters (m).

Tags: anza, bedrock-geologic-units, california, california-water-science-center, electrical-resistivity-tomography, environment, geophysics, geoscientificinformation, groundwater, hydrologic-processes, riverside, usgs-5e618fbfe4b01d509255c89e, water-resources
Organization: Department of the Interior