AndreaBozzo/ceres-open-data-index huggingface dataset:
Accuracy of Rapid Crop Cover Map of Conterminous United States for 2015

Spatially accurate annual crop cover maps are an important component to various planning and research applications; however, the importance of these maps varies significantly with the timing of their availability. Utilizing a previously developed crop classification model (CCM), which was used to generate historical annual crop cover maps (classifying nine major crops: corn, cotton, sorghum, soybeans, spring wheat, winter wheat, alfalfa, other hay/non alfalfa, fallow/idle cropland, and ‘other’ as one class for remaining crops), we hypothesized that such crop cover maps could be generated in near real time (NRT). The CCM was trained on 14 temporal and 15 static geospatial datasets, known as predictor variables, and the National Agricultural Statistics Service (NASS) Cropland Data Layers (CDL) was used as the dependent variable. We were able to generate a NRT crop cover map by the first day of September through a process of incrementally removing weekly and monthly data from the CCM and comparing the subsequent map results with the original maps and NASS CDLs. Initially, our NRT results revealed training error of 1.4% and test error of 8.3%, as compared to 1.0% and 7.6%, respectively for the original CCM. Through the implementation of a new ‘two-mapping model’ approach, we were able to substantially improve the results of the NRT crop cover model. We divided the NRT model into one ‘crop type model’ to handle the classification of the nine specific crops and a second, binary model to classify crops as presence or absence of the ‘other’ crop. Under the two-mapping model approach, the training errors were 0.8% and 1.5% for the crop type and binary model, respectively, while test errors were 5.5% and 6.4% for crop type and binary model, respectively. With overall mapping accuracy for the map reaching 57.57 percent, this approach shows strong potential for generating crop type maps of current year in September.

Tags: conus, crop-cover-mapping, modelling, near-real-time, usgs-5a8701ade4b00f54eb3a2b17
Organization: Department of the Interior
Comma-delimited Text File of the Porewater Salinity Values of Cores Collected August, 2006 in the Nauset Marsh Area of Cape Cod, Massachusetts

In order to test hypotheses about groundwater flow under and into estuaries and the Atlantic Ocean, geophysical surveys, geophysical probing, submarine groundwater sampling, and sediment coring were conducted by U.S. Geological Survey (USGS) scientists at Cape Cod National Seashore (CCNS) from 2004 through 2006. Coastal resource managers at CCNS and elsewhere are concerned about nutrients that are entering coastal waters via submarine groundwater discharge, which are contributing to eutrophication and harmful algal blooms. The research carried out as part of the study described here was designed, in part, to help refine assumptions required by earlier versions of models about the nature of submarine groundwater flow and discharge at CCNS. This study was conducted in four phases, with a variety of field techniques and equipment employed in each phase. Phase 1 consisted of continuous resistivity profiling (CRP) surveys of the entire study area conducted in 2004. Phase 2 consisted of CRP ground-truthing via resistivity probe measurements and submarine groundwater sampling from hydraulically-drive piezometers using a barge in the Salt Pond/Nauset Marsh area in 2005. Phase 3 consisted of supplemental detailed CRP surveys in the Salt Pond/Nauset Marsh area in 2006. Finally, Phase 4 consisted of sediment coring and porewater extraction in the Salt Pond/Nauset Marsh area later in 2006 to supplement the 2005 sampling.

Tags: atlantic-ocean, cape-cod, cape-cod-national-seashore, cmgp, coastal-and-marine-geology-program, core, core-analysis, environment, geology, geoscientificinformation, geospatial-datasets, ground-water, inlandwaters, log-book, massachusetts, nauset-marsh, north-america, oceans, of-2006-1169, open-file-report, porewater, salinity, salt-pond, sediment, u-s-geological-survey, united-states, usgs, usgs-f695ba46-48d9-46da-b4f8-e8dc341e5b84, vibracore, whsc-field-activity-serial-number-06027, woods-hole-science-center
Organization: Department of the Interior
Chemicals of Emerging Concern in Water and Bottom Sediment in the Great Lakes Basin, 2014 - Field and Laboratory Quality Assurance

The U.S. Geological Survey (USGS), in cooperation with the U.S. Fish and Wildlife Service (USFWS) and St. Cloud State University (SCSU), identified the occurrence of chemicals of emerging concern (CECs) in water and bottom sediment collected in 2014 at 65 sites throughout the Great Lakes Basin. The 2014 effort is part of a long-term study that began in 2010. Included in this directory are collection methods, references to or descriptions of analytical methods used, data for samples collected in 2014, and associated quality-assurance data. Samples were collected during the periods of April to May and August to September by USGS, USFWS, and (or) SCSU personnel. Study sites include tributaries to the Great Lakes located near Green Bay, Wisconsin; Chicago, Illinois; Detroit, Michigan; Grand Rapids, Michigan; Cleveland, Ohio; and Wanakena, New York. During this study, 204 environmental samples and 6 field replicate sample pairs of surface water, 6 field blank-water samples, and 4 laboratory-matrix spike water samples were collected or prepared. Additionally, 21 environmental samples, 3 field replicate sample pairs, and 2 laboratory-matrix spike samples of bottom sediments were collected or prepared. At 22 select water-quality sites, polar organic chemical integrative samplers (POCIS) were deployed in water and analyzed for a similar suite of CECs as were measured in water and bottom-sediment samples. A total of 22 environmental samples, 4 field-blank samples (exposed to ambient air), and 4 field replicate sample pairs were collected or prepared. Water and bottom-sediment samples were prepared and analyzed at the USGS National Water Quality Laboratory (NWQL) in Denver, Colorado. All POCIS samples were extracted at the Environmental Sampling Technologies Laboratory in St. Joseph, Missouri. Extracts were sent to NWQL where final preparation steps and analyses were completed. The Field and Laboratory Quality Assurance provides eight tables that support the analytical results for wastewater compounds, steroid hormones, sterols, and bisphenol A, and pharmaceuticals in water, sediment, and POCIS samples collected during 2014.

Tags: area-of-concern, emerging-contaminants, great-lakes-restoration-initiative, toxicology, usgs-547dfe57e4b09357f05f6c14
Organization: Department of the Interior
Agricultural Waste Management Systems on Agricultural Land in the Conterminous United States, 1992: National Resource Inventory Conservation Practice 312

This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to 
the agricultural conservation practice (CP312), Agricultural Waste Management Systems on agricultural 
land by county.  "An agricultural waste management system (AWMS) is a planned system in which all 
necessary components are installed and managed to control and use by products of agricultural production 
in a manner that sustains or enhances the quality of air, water, soil, plant, and animal resources. 
Agricultural waste management systems must be developed using the total systems approach. A 
total system accounts for all the waste associated with an agricultural enterprise throughout the year 
from production to utilization. In short, it is the management of all the waste, all the time, all the way." 
(U.S. Department of Agriculture, 1995) This data set was created with geographic information systems 
(GIS) and database management tools. The acres on which AWMS's are applied were totaled at the 
county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land 
within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution 
land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does 
not record information on those lands.

Tags: agricultural-practices, agricultural-waste-management, environment, geoscientificinformation, inlandwaters, national-resources-inventory, usgs-055e7955-ed10-46e4-ac0d-d1c2b62e4823
Organization: Department of the Interior
Unprocessed aerial imagery from 16 January 2023 coastal survey of Central California.

This is a set of 2763 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-2cafd97a-212a-4bae-a4a7-9c5e31a7e5e5, visible-light-imaging
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0374 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-65415017d34ee4b6e05bce72, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Effects of Climate on Scaled Quail Reproduction and Survival

Grassland birds are among the most imperiled bird guilds in North America. Scaled quail (Callipepla squamata) are a semi-arid grassland bird whose populations have declined over the past half century. We monitored scaled quail in New Mexico to study the effects of habitat, temperature and precipitation on survival of scaled quail adults, nests, and broods. Seasonal nest survival (39.4%) had a positive relationships with increasing average weekly maximum temperature and grass density, and negative relationships with increasing average minimum temperature and percent bare ground. Seasonal brood survival (49.0%) had a negative relationship with increasing average weekly minimum and maximum temperature, and with increasing precipitation. These results illustrate the importance of managing ground cover for scaled quail to ensure adult survival and successful recruitment. Ground cover provides protection from thermal and precipitation related stress, as well as for visual obstruction from predators. This data release has three child items corresponding to the data and metadata files on adult, brood and nest survival of scaled quail.

Tags: new-mexico, scaled-quail, southwestern-united-states, southwestern-us, usgs-5a903969e4b06990606407aa
Organization: Department of the Interior
Data Used to Assess the Acute Physiological Response of Polar Bears to Helicopter Capture

This dataset is in five tables with data from ecophysiological studies of free-ranging polar bears of the Southern Beaufort Sea subpopulation. They were equipped with high-resolution activity sensors, body temperature loggers, and GPS satellite-telemetry collars, to compare physiological state and activity of bears during natural behavior with that experienced by bears during helicopter recapture events (n = 14 bears). The data include: rectal temperatures for comparison to temperatures recorded by implanted loggers, levels of blood biochemical markers (n = 50 bears) related to elevated body temperature and stress for testing whether these markers were influenced by the duration of helicopter operations, ambient temperature, and dose of the immobilization drug.

Tags: alaska, anatomy-and-physiology, animal-response, animals-vertebrates, bears, beaufort-sea, biochemical-analysis, biochemical-composition, biochemical-marker, biochemistry, biological-response, biota, body-temperature-changes, environment, immobilization, mammalian-physiology, mammals, marine-ecosystems, metabolism, polar-bear, telemetry, ursus-maritimus, usgs-asc447, wildlife
Organization: Department of the Interior
Population Plots at Two Seabird Colonies in Lower Cook Inlet, Alaska

This dataset consists of one table with annual counts from population plots of Black-legged Kittiwakes and Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.

Tags: alaska, animals-vertebrates, biota, birds, black-legged-kittiwakes, breeding-sites, coastal-ecosystems, common-murres, cook-inlet, environment, gulf-of-alaska, indicator-species, kachemak-bay, marine-ecosystems, population-dynamics, rissa-tridactyla, uria-aalge, usgs-asc376, waders-gulls-auks-and-allies, wildlife
Organization: Department of the Interior
Model Archive Summary for Turbidity Derived Suspended-Sediment Concentrations at USGS Station 11336685; North Mokelumne River near Walnut Grove, California (2011 - 2015)

Model archive summary (MAS) describing the development of a continuous 15-minute suspended-sediment concentration (SSC) time series regression model for the site: North Mokelumne River near Walnut Grove, California (NMR), U.S. Geological Survey (USGS) station number 11336685. The SSC time series is computed from instream turbidity data that is managed by the USGS using a YSI 6-series multi-parameter water quality sonde.

Tags: california, environment, geomorphology, hydrology, lower-cosumnes-lower-mokelumne, sacramento, sediment-transport, suspended-material-water, turbidity, usgs-627928e9d34e8d45aa6e3b6a, water-quality, water-resources
Organization: Department of the Interior
Predation of Common Murre Eggs at Two Seabird Colonies in Lower Cook Inlet, Alaska

This dataset consists of one table with egg predation data from Common Murres at two seabird nesting colonies on Gull and Chisik Islands in lower Cook Inlet, Alaska.

Tags: alaska, animals-vertebrates, bald-eagle, biota, birds, breeding-sites, coastal-ecosystems, common-murres, cook-inlet, egg-production, environment, glaucous-winged-gull, gulf-of-alaska, haliaeetus-leucocephalus, herring-gull, indicator-species, kachemak-bay, larus-argentatus, larus-glaucescens, marine-ecosystems, nesting-behavior, nesting-success, population-dynamics, reproductive-success, uria-aalge, use-feeding-habitat, usgs-asc377, waders-gulls-auks-and-allies, wildlife
Organization: Department of the Interior
Invasive Grasses Cheatgrass and Medusahead Yield Responses to Sucrose in Experimental Plots in the Northern Great Basin, USA Dataset, 2005-2006

Comma-separated values (.csv) files containing data related to plant biomass and seed production responses of invasive Bromus tectorum (cheatgrass) and Taeniatherum caput-medusae (medusahead) to varying sucrose treatments.

Tags: carbon, eastern-oregon, environment, northern-great-basin, plants-organisms, snake-river-plain, usgs-618c484bd34ec04fc9c863d9, western-idaho
Organization: Department of the Interior
Morphometric and Reproductive Status Data for Sea Otters Collected or Captured in Alaska

This dataset includes morphometric measurements and pregnancy / dependency status from sea otters captured or collected (experimental harvests or recovered after the Exxon Valdez Oil Spill) in Alaska, 1947-2019 by the U.S. Geological Survey (USGS) and the U.S. Fish and Wildlife Service (USFWS). Data collected include total body length, tail length, body mass, axillary girth, paw width, canine diameter and baculum length along with sex, age, and reproductive status of females (pregnancy / dependency status). For females with dependent pups, pup sex, mass, and total length are included when available. For harvested animals, data includes pregnancy status along with fetal sex, mass, and length.

Tags: adak-island, age-composition, alaska, amchitka-island, andreanof-islands, animal-morphology, animals-vertebrates, attu-island, baranof-island, biota, body-measurements, carnivores, chichagof-island, coastal-ecosystems, coronation-island, delarof-islands, dolgoi-island, enhydra-lutris-kenyoni, environment, kachemak-bay, kanaga-island, katmai, kodiak-island, kuiu-island, mammals, marine-ecosystems, marine-mammals, near-islands, northern-sea-otters, otters, port-althorp, prince-william-sound, rat-islands, reproductive-status, shemya-island, tanaga-island, unga-island, usgs-asc379, wildlife
Organization: Department of the Interior
Intertidal Mussel (Mytilus) Data from Prince William Sound, Katmai National Park and Preserve, and Kenai Fjords National Park

These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program and describe mussel sampling and observations conducted in the northern Gulf of Alaska. This dataset consists of six comma separated files (.csv): 1) mussel sampling site layout information, 2) mussel counts for mussels greater than 20 millimeters in a quadrat, 3) mussel size measurements for mussels greater than 20 millimeters in a quadrat, 4) mussel counts for all mussels collected from core samples, 5) mussel size frequencies for all mussels collected from core samples, and 6) list of Gulf Watch Alaska principal investigators and collaborators.

Tags: alaska, animals-invertebrates, aquatic-biology, aquatic-ecosystems, benthic-ecosystems, benthic-habitat, bioindicator, biospheric-indicators, biota, coastal-ecosystems, coastal-habitat, coastal-processes, ecology, environment, field-inventory-and-monitoring, field-sampling, gulf-of-alaska, katmai-national-park-and-preserve, kenai-fjords-national-park, macroinvertebrates, marine-ecosystems, marine-environment-monitoring, marine-environments, mollusks, mussels, pacific-blue-mussel, prince-william-sound, size-distribution, spatial-distribution, usgs-asc462, wildlife
Organization: Department of the Interior
Landsat 7 Collection 2 cloud truth mask validation set

The U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center in Sioux Falls, SD developed a cloud validation dataset from 48 unique Landsat 7 Collection 2 images. These images were selected at random from the Landsat 7 SLC-On archive from various locations around the world. While these validation images were subjectively designed by a single analyst, they provide useful information for quantifying the accuracy of clouds flagged by various cloud masking algorithms. Each mask is provided in GeoTIFF format, and includes all bands from the original Landsat 7 Level-1 Collection 2 data product (COG GeoTIFF), and its associated Level-1 metadata (MTL.txt file).
The methodology used to create these masks is the same as in previous USGS Landsat cloud truth masks (http://doi.org/10.5066/F7251GDH). Pixels are marked as Cloud if the pixel contains opaque and clearly identifiable clouds. Pixels are marked as Thin Cloud if they contain clouds that are transparent or if their classification as cloud is uncertain. Pixels that contain clouds with less than 50% opacity, or which do not contain clouds at all, are marked as Clear. In some masks the borders around clouds have been dilated to encompass the edges around irregular clouds.

Tags: atmospheric-sciences, climatology, remote-sensing, usgs-62bf0f46d34e82c548ced83e, usgs-science-data-catalog-sdc
Organization: Department of the Interior
Potmap_contours_May_June2010_updated

This layer shows the potentiometric surface contours of the Upper Floridan Aquifer in Florida and parts of Georgia, South Carolina, and Alabama in May 2010. Contours were manually contoured from well elevation data collected in May-June 2010.  This layer was updated in August 2014 to include south Florida by calculating the equivalant freshwater head where water quality data was available.

Tags: alabama, florida, floridan-aquifer, georgia, geoscientificinformation, ground-water, potentiometric-surface, south-carolina, upper-floridan-aquifer, usgs-5a219c80e4b03852baf470dd, wells
Organization: Department of the Interior
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cortland study area

The city of Cortland is located in Cortland County, New York. Previous USGS reports here include Water-Resources Investigations Report 96-4255 (Miller and others, 1998), and Open-File Report 81-1022 (Miller and Brooks, 1981). 
The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.

Tags: aquifer-mapping, bedrock-mapping, cortland, cortland-county, glacial-geology, new-york, sourcewater, usgs-5f74aa1282cef8d18399bf50, valley-fill, well-log
Organization: Department of the Interior