AndreaBozzo/ceres-open-data-index huggingface dataset:
Data used to model and map pH and redox conditions in the Northern Atlantic Coastal Plain aquifer system, eastern USA

Data used to model and map pH and redox conditions in groundwater in the Northern Atlantic Coastal Plain aquifer system, eastern USA, are documented in this data release. The models use as input data measurements of pH and dissolved oxygen concentrations at about 3000 to 5000 wells, which were compiled primarily from U.S. Geological Survey and U.S. Environmental Protection Agency databases. The boosted regression trees machine learning method was used to build the models. Explanatory variables (predictors) describe geology, hydrology, chemistry, physical characteristics, anthropogenic influence, metrics from a groundwater flow model, and groundwater residence times in the aquifer system. Data for four models are documented--one model for pH and one model each for the probability of dissolved oxygen less than three threshold values (0.5, 1, and 2 milligrams per liter). 
The data are provided in data tables and raster files, organized as follows. There is one data table for the well data used to develop all four models (well data). There is one zipped group of 10 files (one for each aquifer) for explanatory input data used to make predictions at grid points (prediction input). There are 9 zipped groups of files for model output; these include 1 zip file of predictions at grid points for each of the 4 models (prediction output), 1 zip file for combined pH and dissolved oxygen predictions (combined prediction output); and 4 zip files of uncertainty intervals for predictions for each of the 4 models (uncertainty output). Filenames for prediction input and for model output are distinguished by codes abbreviating the aquifer name and position in the vertical stack of 19 regional aquifers and confining units, as follows: Surficial aquifer, 1surf; Upper Chesapeake aquifer, 3upch; Lower Chesapeake aquifer, 5loch; Piney Point aquifer, 7pipt; Aquia aquifer, 9aqia; Monmouth - Mt. Laurel Aquifer, 11moml; Matawan aquifer, 13mtwn; Magothy Aquifer, 15mgty; Potomac-Patapsco aquifer, 17popt; Potomac-Patuxent aquifer, 19popx. The data release also contains a tif-format raster file of the prediction grid and two data tables that separately describe the explanatory variables (predictors) and their sources.

Tags: aquia-aquifer, boosted-regression-trees, cycle-3, delaware, delmarva-peninsula, groundwater-quality, long-island, lower-chesapeake-aquifer, machine-learning, magothy-aquifer, maryland, matawan-aquifer, monmouth-mt-laurel-aquifer, nawqa, new-jersey, new-york, north-carolina, northern-atlantic-coastal-plain-aquifer-system, ph, piney-point-aquifer, potomac-patapsco-aquifer, potomac-patuxent-aquifer, redox-conditions, regional-groundwater-quality, surficial-aquifer, upper-chesapeake-aquifer, usgs-5de92e1ae4b02caea0eed839, virginia
Organization: Department of the Interior
Land surface thermal feature change monitoring in urban and urban wild land interface

We developed an approach to quantify Urban Heat Island (UHI) extent and intensity in 50 cities of CONUS and its surrounding area by using surface temperature from Landsat surface temperature product in a time series manner.  Landsat land surface temperature from Landsat Analysis Ready Data (ARD) were used to quantify surface temperature changes from 1985 to 2020. The current study assessed UHI intensity and its variations associated with urban development in an annual basis. Two datasets, over the study period, show that the maximum surface temperature in the high intensity urban area significantly increased while no significant trend was found in surrounding non-urban areas. These released datasets were spatially in 30 meters resolution and annual averages between 1985 to 2020. NOTE: While a previous version is available from the author, all the datasets for pilot cities in previous version can be found in version 4.1.1
First posted - November 01, 2019 (available from author)
Revised - August 20, 2020 (version 2.0)
Revised - May 20, 2020 (version 3.0)
Revised - January 20, 2022 (version 4.1.1)

Tags: albuquerquenm-atlantaga-austintx-baltimoremd-birminghamal-boiseid-bostonma-charlottenc-cheyenne, climatologymeteorologyatmosphere, conus, environment, heat-flow-earth, image-collections, land-surface-temperature-lst, land-use-change, landsat-analysis-ready-data-ard, landsat-ard, multispectral-imaging, united-states, urban-heat-island, usgs-5de81991e4b02caea0ece36a
Organization: Department of the Interior
Location and grain-size analysis results of sediment samples collected in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey, University of Connecticut, and University of New Haven during field activities 2017-056-FA and 2018-018-FA (simplified point shapefile and CSV files)

Two marine geological surveys were conducted in Long Island Sound, Connecticut and New York, in fall 2017 and spring 2018 by the U.S. Geological Survey (USGS), University of Connecticut, and University of New Haven through the Long Island Sound Mapping and Research Collaborative. Sea-floor images and videos were collected at 210 sampling sites within the survey area, and surficial sediment samples were collected at 179 of the sites. The sediment data and the observations from the images and videos are used to identify sediment texture and sea-floor habitats.

Tags: 2017, 2018, atlantic-ocean, beckman-coulter-multisizer-3, clay, cmhrp, coastal-and-marine-hazards-and-resources-program, connecticut, continental-shelf, csv, field-activity-2017-056-fa, field-activity-2018-018-fa, fishers-island, fishers-island-sound, geoscientificinformation, grab-sampling, grain-size-analysis, gravel, ground-truth, horiba-la-960-laser-diffraction-analyzer, lismarc, location, long-island-sound, long-island-sound-habitat-mapping, long-island-sound-mapping-and-research-collaborative, marine-geology, new-york, north-america, northeast-underwater-research-technology-and-education-center, nurtec, oceans, r-v-connecticut, sand, sea-floor, sea-floor-characteristics, seabed, seabed-observation-and-sampling-system, seaboss, seafloor, seafloor-samples, sediment-analysis, sediment-data, sediment-samples, sediments, shapefile, silt, sound, stations, surficial-sediment-classification, u-s-geological-survey, uconn, united-states, university-of-connecticut, university-of-new-haven, usgs, usgs-5de9be03e4b02caea0eeda45, van-veen-grab-sampler, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Data release for Predicting the impacts of future sea level rise on specialist snake species in the imperiled pine rockland ecosystem of South Florida

Approximately 90% of pine rockland habitat in South Florida and the Florida Keys, USA, has been lost, fragmented, and degraded due to urbanization and other anthropogenic disturbances. Low-lying islands and coastal areas are also becoming increasingly vulnerable to sea-level rise and high tide flooding, which is rapidly increasing in frequency, depth, and extent, putting these areas and the pine rockland habitat they contain at particular risk to these threats. We evaluated changes in habitat under future sea level rise conditions and human development for two species of snakes that are endemic to the pine rocklands, Rim Rock Crowned snake (Tantilla oolitica) and Key Ringneck snake (Diadophis punctatus acrinus), both of which are state-listed endangered species and are under consideration for federal listing. We used recent and historical species records to determine the current extent of available habitat in South Florida. We then predicted: 1) how much (area and percentage) of habitat currently available to these species will be lost due to sea level rise/development, and (2) how does the quality of remaining rockland habitat change in future due to SLR and habitat degradation? We also asked whether threats differ between species and regions. Our results predict that salt water intrusion will negatively affect upland habitat by 2050 with 80% of the existing pine rockland habitat degraded with 42 cm of sea level rise. Moreover, short-term stochastic events, such as storm surge and king tides, will increasingly inundate the root zone of pine and other terrestrial vegetation before complete inundation. Our results further predict that most of the terrestrial habitat used by these species will be underwater by 2080, indicating that sea level rise will likely change current pine rockland habitat into more halophytic habitat (mangrove or salt marsh wetland) in about 50 to 60 years.

Tags: biota, pine-rockland-rockland-hammock-south-florida-florida-keys-sea-level-rise-slr-rockland-snakes, usgs-5de815eae4b02caea0ece35f
Organization: Department of the Interior
Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands

Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the “Back-in-Time” (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare their response to spatio-temporal variation in climate. We hypothesize that strong temporal and spatio-temporal relationships will exist between HRS and BIT data and that they will exhibit similar climate response. We evaluated a total of 42 HRS sites across the western U.S. with 32 sites in Wyoming, and 5 sites each in Nevada and Montana. HRS sites span a broad range of vegetation, biophysical, climatic, and disturbance regimes. Our HRS sites were strategically located to collectively capture the range of biophysical conditions within a region. Field data were used to train 2-m predictions of fractional component cover at each HRS site and year. The 2-m predictions were degraded to 30-m, and some were used to train regional Landsat-scale, 30-m, “base” maps of fractional component cover representing circa 2016 conditions. A Landsat-imagery time-series spanning 1985-2018, excluding 2012, was analyzed for change through time. Pixels and times identified as changed from the base were trained using the base fractional component cover from the pixels identified as unchanged. Changed pixels were labeled with the updated predictions, while the base was maintained in the unchanged pixels. The resulting BIT suite includes the fractional cover of the six components described above for 1985-2018. We compare the two datasets, HRS and BIT, in space and time.
Two tabular data presented here correspond to a temporal and spatio-temporal validation of the BIT data. First, the temporal data are HRS and BIT component cover and climate variable means by site by year. Second, the spatio-temporal data are HRS and BIT component cover and associated climate variables at individual pixels in a site-year.

Tags: annual-herbaceous, back-in-time, bare-ground, big-sagebrush, biota, central-basin-and-range, farming, fractional-components, geoscientificinformation, grass, herbaceous, litter, montana, mt, nevada, northern-basin-and-range, northwestern-great-plains, nv, rangeland, rangelands, remote-sensing, sagebrush, shrub, shrubland, shrubland-ecosystems, shrublands, southern-rockies, terrestrial-ecosystems, time-series, united-states, usgs-5de7de8fe4b02caea0eb9917, validation, vegetation, wy, wyoming, wyoming-basin
Organization: Department of the Interior
Assessing the impact of irrigation curtailment using Landsat satellite data: A case study in the Upper Klamath Lake basin

The associated geotiff rasters represents the total actual evapotranspiration (ETa) from June through September for the years 2004, 2006, 2008-2010, and 2013-2016 for the entire Klamath Basin in southern Oregon. The ETa was created using Landsat imagery and the Operational Simplified Surface Energy Balance (SSEBop) model to estimate actual ET and the Python scripts to complete that process is also provided. Additionally, the June-September average (mean) ETa for the "base years" of 2004, 2006, 2008-2010 and ETa Anomaly (deviation from the base years average mean) for each year between 2013-2016 is provided. Text files of SSEBop daily actual ET along with actual ET from Ameriflux eddy co-variance flux tower sites is also provided including an R code to generate comparison charts.

Tags: environment, geoscientificinformation, irrigation, usgs-5de7d7e9e4b02caea0eb589f, water-use
Organization: Department of the Interior
Forest land cover of the Great Dismal Swamp National Wildlife Refuge in 2015, derived from aerial photography and forest habitat interpretation

Mapping of the current distributions of forest-cover types across the Great Dismal Swamp National Wildlife Refuge (the swamp) is critical to understanding the success of ongoing hydrologic and other management techniques used to restore the forest communities of the swamp to those present across the swamp in early colonial times. Aerial photographs, orthophotographs, and vector digital data were used to map forest-cover types of the swamp. The forest-cover types were interpreted and mapped using composition, height, and canopy-closure classes derived from this imagery and field verification.  The imagery was obtained using a near-infrared sensor (NIR)carried in an airplane flown across the swamp during the mid-to-late spring of 2015. The original dataset was provided in Universal Transverse Mercator meters, Zone 18, NAD 83 projection. The resolution of the imagery was 0.3-meter pixels. This report explains the metadata for the vector digital geodatabase for forest cover as interpreted from the imagery and field verification. One or two species composition codes represent the major forest types in the canopy of each stand. The first code represents the forest type forming at least 50 percent of the canopy. The second code represents the forest type forming 25 to less than 50 percent of the canopy.  A single code indicates that only that forest type forms at least 25 percent of the canopy.  Where the forest covered less than 25 percent of an area, the area was classified as emergent species.  Minimum mapping areas were 5 acres for forested land and 1 acre for emergent species.

Tags: biota, camden-county, city-of-chesapeake, city-of-suffolk, dismal-swamp-state-park, forest-land-cover-great-dismal-swamp-national-wildlife-refuge-suffolk-virginia-chesapeake-virgi, gates-county, great-dismal-swamp, great-dismal-swamp-national-wildlife-refuge, north-carolina, pasquotank-county, usgs-5de7cd73e4b02caea0eaf75a, virginia
Organization: Department of the Interior
MODFLOW-NWT and MODPATH5 models used to identify potential flow paths from San Juan Mine to hydrologic receptors, San Juan County, New Mexico

Coal combustion by-products (CCBs, in the form of ash) produced at the coal-fired San Juan 
Generating Station in San Juan County, New Mexico, have been buried in former surface-mine 
pits at the San Juan Coal Mine since power-generation operations began in the early 1970s. 
A groundwater flow model was developed by the USGS to estimate the timing of groundwater 
recovery after the cessation of mining and to identify potential pathways and advective travel 
times for groundwater transport of metals that may be leached from stored CCBs to arrive at 
hydrologic receptors after mining operations cease. The USGS numerical modeling package 
MODFLOW-NWT with MODPATH particle-tracking software was used. This USGS data release 
contains all of the input and output files for the simulations described in the associated model 
documentation report (https://doi.org/10.3133/sir20175155).

Tags: colorado, environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, la-plata-county, modflow-nwt, modpath, new-mexico, particle-tracking-model, san-juan-basin, san-juan-coal-mine, san-juan-county, san-juan-generating-station, san-juan-mine, usgs-5e32e4f7-dbd9-4920-82cc-bc4b03902c16, usgsgroundwatermodel
Organization: Department of the Interior
U–Pb data for Origin of Tin Mineralization in the Sullivan Pb-Zn-Ag Deposit, British Columbia:  Constraints from Textures, Geochemistry, and LA-ICP-MS U-Pb Geochronology of Cassiterite

Cassiterite (SnO2) samples were collected throughout the underground Sullivan Mine near Kimberley, British Columbia.  Samples (in the form of mounted loose grains, polished thin sections, and rock mounts) were prepared and analyzed for direct age dating on a laser ablation inductively coupled plasma mass spectrometer (LA-ICPMS) system at the U.S. Geological Survey in Denver, Colorado in February and April 2018.  This data release accompanies the publication, 'Origin of Tin Mineralization in the Sullivan Pb-Zn-Ag Deposit, British Columbia:  Constraints from Textures, Geochemistry, and LA-ICP-MS U-Pb Geochronology of Cassiterite.' (Slack and others, 2020).  The publication constrains the timing of cassiterite ore mineralization in a classic SedEx deposit.

Tags: british-columbia, canada, cassiterite, geochronology, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, kimberley, la-icpms, laser-ablation-inductively-coupled-plasma-mass-spectrometer, lead, mineral-deposits, mineral-resources-program, mrp, sullivan-mine, thorium, u-pb, uranium, uranium-lead-analysis, usgs-5de6d03ce4b02caea0eaee94
Organization: Department of the Interior
Total organic carbon and pyrolysis analysis data for the U.S. Geological Survey Alcova AR–1–13 core hole, Natrona County, Wyoming (ver. 1.1, October 2021)

In 2013 the U.S. Geological Survey (USGS) drilled a continuous core in the southeastern part of the Wind River Basin, Wyoming to evaluate the source rock potential of the Lower and lowermost Upper Cretaceous marine shales .  The well, named the Alcova Reservoir AR–1–13, located on the northeast flank of the Alcova anticline was spud in the lower part of the Frontier Formation and ended in the upper part of the Cloverly Formation recovered core between 40.5 feet (ft) and 623 ft.  
Thirty-nine samples were selected to evaluate the source rock potential of the marine shales in the cored interval as determined by total organic carbon (TOC) and programmed pyrolysis analysis.  Five samples are from the lower part of the Frontier Formation, 24 from the upper siliceous part of the Mowry Shale, 4 from the lower Mowry Shale (Shell Creek Shale of Eicher, 1962), and 6 from the Thermopolis Shale.  TOC content was determined using the Leco combustion method after carbonate removal (see Jarvie, 1991 for details), and the programmed pyrolysis analysis was done using a Hydrocarbon Analyzer with Kinetics (HAWK, Wildcat Technologies) instrument (see Espitalie and others, 1977; Tissot and Welte, 1978; Peters, 1986; and Hunt, 1996 for detailed discussions of the pyrolysis method). The results of the analyses are presented in the data table.

Tags: alcova-anticline, alcova-reservoir-ar113, chemical-analysis, cloverly-formation, frontier-formation, geochemistry, geoscientificinformation, hydrogen-index, natural-gas-resources, oil-resources, petroleum-reservoirs, petroleum-resources, pyrolysis-analysis, rocks-and-deposits, sedimentary-rocks, source-rock, total-organic-carbon, unconsolidated-deposits, usgs-5de6b647e4b02caea0eaee2f, wind-river-basin
Organization: Department of the Interior
Hawaii Army National Guard Hawaiian Hoary Bat Acoustic Monitoring 2012-2018 and Keaukaha Military Reservation Prey Study 2018

Acoustic sampling for occurrence of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus) was conducted at 18 “long-term” acoustic monitoring stations on 12 Hawaii Army National Guard (HIARNG) installations across the islands of Hawaii, Maui, Molokai, Oahu, and Kauai between 2012 and 2018.
Hawaiian hoary bat insect prey sampling with paired acoustic monitoring was conducted at Keaukaha Military Reservation (KMR) on Hawaii Island from May to August, 2018. At this property, a herd of domestic goats (occasionally mixed with domestic sheep) were rotated among grazing plots as part of a weed control program managed by HIARNG. We sampled insect abundance and community within the area where goats were used for weed control to better understand if grazing ungulates attract and support potential prey for insectivorous Hawaiian hoary bats. 
This data release consists of three tabular datasets including bat acoustic activity at all long-term monitoring sites and within the grazing plots at Keaukaha Military Reservation, and insect abundance data from the grazing plots.

Tags: acoustic-activity, biota, hawaii, hawaiian-hoary-bat, hawaiian-islands, insect-prey-base, kauai, maui, molokai, oahu, usgs-5de5caa1e4b02caea0e8fbd1
Organization: Department of the Interior
Hawaii Island forest bird avian malaria detection using whole blood preserved in lysis buffer, 2005-2006

It is unclear whether DNA (Deoxyribonucleic Acid) lysis buffers used for preservation of whole blood samples from Hawaiian forest birds cause denaturation and loss of antigen binding capability of antibody molecules. If their antigen binding capability is not affected, then the samples can be used in serological assays to provide an independent assessment of the accuracy of PCR (polymerase chain reaction) diagnostic tests for avian malaria.
This data release consists of three tabular datasets of raw absorbance measurements that were collected with a BioRad Model 3550 ELISA (Enzyme linked Immunosorbant Assay) plate reader at a wavelength setting of 405 nm from serial dilutions of whole blood that were preserved with either PBS (phosphate buffered saline) or two different DNA lysis buffers and a single tabular dataset of Percent ELISA Values that were derived from the raw absorbance measurements. The whole blood was collected from uninfected Hawaii Amakihi and Hawaii Amakihi experimentally infected with Plasmodium relictum that were collected from Upper Waikea Forest Reserve on Hawaii Island.

Tags: avian-malaria, biota, chlorodrepanis-virens, elisa, enzyme-linked-immunosorbant-assay, hakalau-forest-national-wildlife-refuge, hawaii, hawaii-amakihi, hawaiian-islands, immunoblot, lysis-buffer, pcr, plasmodium-relictum, polymerase-chain-reaction, usgs-5de59150e4b02caea0e8fbb1, western-blot
Organization: Department of the Interior
Renesting propensity, intervals, and reproductive success data for the Northern Great Plains Piping Plover, a threatened shorebird species 2014-2016

This data set is part of a data release as a companion to a to be published manuscript titled "Low renesting propensity and reproductive success make renesting unproductive for the threatened Piping Plover, Charadrius melodus" Upon reproductive failure, many bird species may make a secondary attempt at nesting. This data set includes four tabular digital data files representing values related to renesting propensity, renesting intervals, renest reproductive success, and nest survival of Piping Plovers (Charadrius melodus).  We followed nests and unique breeding adults from 2014 – 2016 in the Northern Great Plains of the US.  This included river and reservoir habitats present on the Missouri River in North and South Dakota along with alkali wetlands in Eastern Montana, North Dakota, and South Dakota.

Tags: biota, birds, endangered-species, lake-oahe, lake-sakakawea, missouri-river, montana, nests, north-dakota, population-ecology, river-systems, south-dakota, usgs-5de58776e4b02caea0e8fb9c, wading-birds, wildlife-population-management
Organization: Department of the Interior