AndreaBozzo/ceres-open-data-index huggingface dataset:
Data on Tidally Filtered Groundwater and  Estuary Water Levels, and Climatological Data Near Mill Creek and the Herring River, Cape Cod, Wellfleet, Massachusetts, 2017-2018: U.S. Geological Survey data release

Groundwater and estuary water levels near Mill Creek, and the Herring River in Wellfleet Massachusetts were measured from June 2017 to June 14, 2018. Water-level data have been filtered to remove the effects of the daily tides.  The mean daily value of the tidally filtered 15 minute water-level data is presented. The data also include a composite data set of daily precipitation values, as well as data on the growing degrees days (50 degrees Fahrenheit), from two weather stations on Cape Cod, Massachusetts.

Tags: biota, ecosystem-restoration, groundwater-and-surface-water-interaction, groundwater-level, tides-oceanic, usgs-5d1b69bbe4b0941bde620d47, wetland-restoration
Organization: Department of the Interior
Data Supporting Generalized models to estimate carbon and nitrogen stocks of organic layers in Interior Alaska

Boreal ecosystems comprise about one tenth of the world’s land surface and contain over 20 % of the global soil carbon (C) stocks. Boreal soils are unique in that the mineral soil is covered by what can be quite thick layers of organic soil. These organic soil layers, or horizons, can differ in their state of decomposition, source vegetation, and disturbance history. These differences result in varying soil properties (bulk density, C content, and nitrogen (N) content) among soil horizons. These data were used in a manuscript where these soil properties, as represented by over 3000 samples from Interior Alaska, were summarized. We also examined how soil drainage and stand age affect these attributes. The summary values presented in this manuscript can be used to gap-fill large datasets when important soil properties were not measured, provide data to initialize process-based models, and validate model results.

Tags: alaska, biogeochemistry, environment, interior-alaska, soil, soil-chemistry, soil-horizons, soil-moisture, usgs-5d1a7349e4b0941bde6027cd
Organization: Department of the Interior
Streamflow Observation Points in the Upper Missouri River Basin, 1973-2018

This produced dataset includes spatially aggregated records of measurements and observations from public and private organizations across the Upper Missouri River Basin. For this dataset the Upper Missouri River Basin is defined as Hydrologic Unit Code 1002-1013, and includes portions of the states of Montana, Wyoming, North Dakota, and South Dakota. Streamflow observations, defined as this dataset as the identification of flowing, dry, or pooled streamflow conditions, are an essential part of understanding the relationship between streamflow permanence and climatic and physical factors. For the purpose of this investigation, all streamflow observations were identified as perennial, non-perennial, or pooled to be used in the PROSPER (PRObability of Streamflow PERmanence) model.

Tags: intermittent, montana, north-dakota, perennial, permanence, prosper, south-dakota, streamflow, streamflow-permanence, streams, usgs-5d1a3dcce4b0941bde602677, wyoming
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Flowlines for the Conterminous United States: Mean Flow Path Distance to NHDPlus Version 2.1 Streams

This dataset describes mean flow path distance, in meters, to flowlines from every NHDPlus version 2.1 (NHDv2) flowline in every catchment.  A National flow distance raster utilizes NHDPlus Version 2.1 flow direction rasters to compute a national flow path distance raster. For the purposes of this dataset, NHDPlus Version 2 catchments were overlaid to compute a mean flow path distance to flowline for each flowline catchment.

Tags: flow-path-distance, flowline, inland-waters, nhdplus, usgs-5d1a1dfbe4b0941bde6025d2
Organization: Department of the Interior
2-m Bathymetric Grid of NOAA Survey H11255 in Long Island Sound (BATHY2M_UTM18, UTM Zone 18)

Digital terrain models (DTMs) produced from multibeam bathymetric data provide valuable base maps for marine geological interpretations. These maps help define the geological variability of the seafloor (one of the primary controls of benthic habitat diversity); improve our understanding of the processes that control the distribution and transport of bottom sediments, and the distribution of benthic habitats and associated infaunal community structures; and provide a detailed framework for future research, monitoring, and management activities.
The bathymetric survey interpreted herein (National Oceanic and Atmospheric Administration (NOAA) survey H11255) covers roughly 95 km2 of seafloor in southeastern Long Island Sound.  This bathymetry has been examined in relation to seismic reflection data collected concurrently, as well as archived seismic profiles acquired as part of a long-standing geologic mapping partnership between the State of Connecticut and the U.S. Geological Survey (USGS).  The objective of this work was to use these acoustic data sets to interpret geomorphological attributes of the seafloor, and to use these interpretations to better understand the Quaternary geologic history and modern sedimentary processes.

Tags: atlantic-ocean, bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmgp, coastal-and-marine-geology-program, connecticut, distributions, elevation, field-activity-number-04041, grid, h11255, long-island, long-island-sound, marine-geophysics, multibeam-bathymetry, multibeam-echo-sounder, multibeam-sonar, national-oceanic-and-atmospheric-administration, new-york, noaa, noaa-project-identifier-opr-b370-tj, noaa-project-identifier-s-b904-tj, noaa-survey-h11255, north-america, oceans, simrad-em1002, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-5d1731cf-4fc4-4f82-9127-290bf263173f, whsc, woods-hole-science-center
Organization: Department of the Interior
E2NHDPlusV2_us: Database of Ancillary Hydrologic Attributes and Modified Routing for NHDPlus Version 2.1 Flowlines

The National Hydrography Dataset Plus, Version 2  (NHDPlusV2) is an attribute rich, digital hydrologic network for the Conterminous U.S. developed by the U.S. Environmental Protection Agency (EPA) and U.S. Geological Survey (USGS). SPAtially Referenced Regressions On Watershed attributes (SPARROW), is a process-based/statistical model that relies on a digital hydrologic network, like NHDPlusV2, in order to establish spatial relations between monitored contaminant loads, contaminant sources, and other watershed characteristics. The USGS National Water Quality Assessment (NAWQA) project adopted the medium-resolution NHDPlusV2 network as the primary framework supporting SPARROW modeling, and has become a unifying system for reporting hydrologic information. This metadata describes enhancements made to improve the routing capabilities and ancillary hydrologic attributes of NHDPlusV2 to support modeling and other hydrologic analyses. The resulting enhanced network is named E2NHDPlusV2_us.

Tags: biota, hydrography, hydrologic-network, nhdplus, routing, sparrow, usgs-5d16509ee4b0941bde5d8ffe
Organization: Department of the Interior
U-Pb detrital zircon geochronology of cores and cuttings from selected wells in Arctic Alaska

Select samples were collected from boreholes in Arctic Alaska to determine the U-Pb ages of zircon to determine a maximum depositional age of the geologic units and/or provenance of the zircon in the samples. Samples were collected from the Department of Natural Resources-Alaska Geologic Materials Center in Anchorage Alaska and sent to U.S. Geological Survey-Geology, Geophysics and Geochemistry Science Center, Denver, CO for mineral separation and laser ablation inductively coupled plasma mass spectrometry (LA-ICPMS) U-Pb geochronology analyses. The information is this report includes LA-ICPMS analyses conducted between 2016 and 2018 of at least 120 zircon grains or more (if recovered from sample) from twenty samples of rift, Ellesmerian, and Franklinian sequences that span Devonian through Cretaceous time.

Tags: alaska, arctic, basement, chukchi-sea, core, cuttings, detrital-zircon, echooka-formation, ellesmerian, endicott-group, franklinian, geochronology, geology-geophysics-and-geochemistry-science-center, ggg, kingak-shale, kugrua-sandstone, kuparuk-formation, la-icpms, laser-ablation-inductively-coupled-plasma-mass-spectrometry, ledge-sandstone, lisburne-group, mesozoic, paleozoic, radiometric-dating, sag-river-sandstone, simpson-sandstone, u-pb, u-s-geological-survey, uranium-lead, usgs, usgs-5d1524f7e4b0941bde5b775e
Organization: Department of the Interior
Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP5 RCP8.5 2071-99 scenario rainfall and 2017 land cover

This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a projected climate condition representative of phase 5 of the Coupled Model Intercomparison Project (CMIP5) Representative Concentration Pathway 8.5 (RCP8.5) 2071-99 scenario rainfall and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for the future climate condition using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean annual rainfall, fog interception, irrigation, septic system leachate, seepage from reservoirs and cesspools, runoff, canopy evaporation, total evapotranspiration, and total recharge. This shapefile also includes select geographic and land-cover attributes of the model subareas. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2019-5064 for further details of the methods and sources used to determine these components and attributes.

Tags: canopy-evaporation, cesspool-seepage, direct-recharge, effects-of-climate-change, fog-interception, groundwater, hawaii, inlandwaters, irrigation, maui, net-precipitation, pacific-islands, precipitation-atmospheric, recharge, reservoir-seepage, runoff, septic-system-leachate, total-evapotranspiration, usgs-5d1519d3e4b0941bde5b770b, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Mean annual water-budget components for the Island of Maui, Hawaii, for projected climate conditions, CMIP3 A1B 2080-99 scenario climate and 2017 land cover

This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for a projected climate condition representative of phase 3 of the Coupled Model Intercomparison Project (CMIP3) A1B 2080-99 scenario climate and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for the future climate condition using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean annual rainfall, fog interception, irrigation, septic system leachate, seepage from reservoirs and cesspools, runoff, canopy evaporation, total evapotranspiration, and total recharge. This shapefile also includes select geographic and land-cover attributes of the model subareas. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2019-5064 for further details of the methods and sources used to determine these components and attributes.

Tags: canopy-evaporation, cesspool-seepage, direct-recharge, effects-of-climate-change, fog-interception, groundwater, hawaii, inlandwaters, irrigation, maui, net-precipitation, pacific-islands, precipitation-atmospheric, recharge, reservoir-seepage, runoff, septic-system-leachate, total-evapotranspiration, usgs-5d1514fbe4b0941bde5b76fc, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Mean annual water-budget components for the Island of Maui, Hawaii, for average climate conditions, 1978-2007 rainfall and 2017 land cover

This shapefile represents the spatial distribution of mean annual water-budget components, in inches, for the Island of Maui, Hawaii for an average (or present-day) climate condition and 2017 land cover, as described in USGS SIR 2019-5064. The water-budget components for each model subarea were computed for a scenario representative of present-day climate conditions during 1978-2007 using a water-budget model developed by Johnson and others (2018). The 2017 land-cover map developed by Mair (2018) was used to define the land-cover conditions and the model subareas. The shapefile attribute information associated with each subarea (or polygon) present an estimate of mean annual rainfall, fog interception, irrigation, septic system leachate, seepage from reservoirs and cesspools, runoff, canopy evaporation, total evapotranspiration, and total recharge. This shapefile also includes select geographic and land-cover attributes of the model subareas. Brief descriptions of the water-budget components and attributes are included in this metadata file. Refer to USGS SIR 2019-5064 for further details of the methods and sources used to determine these components and attributes.

Tags: canopy-evaporation, cesspool-seepage, direct-recharge, fog-interception, groundwater, hawaii, inlandwaters, irrigation, maui, net-precipitation, pacific-islands, precipitation-atmospheric, recharge, reservoir-seepage, runoff, septic-system-leachate, total-evapotranspiration, usgs-5d150a28e4b0941bde5b76a2, water-budget, water-budget-model, water-cycle
Organization: Department of the Interior
Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015

The data were gathered as a preliminary assessment of soil microbiology and conditions in selected urban stormwater best management practices (BMPs) in Clarksburg, MD. Four bioretention facilities (BF), four dry ponds (DP), and four surface sand filters (SSF) were selected. Three samples were taken from each BMP (a single sample from one dry swale (DS) was also collected). BMPs were selected based on their position along various stormwater treatment trains. Soil samples were taken after precipitation events in the summer of 2015 and analyzed for various soil chemistry parameters and microbial taxonomic profiling

Tags: bacteria, bacterial-denitrifiers, best-management-practice-bmp, bioretention-facility, clarksburg, denitrification, dry-pond, dry-swale, land-use, maryland, microbes, microbial-taxonomic-community, microorganisms, montgomery-county, soil-chemistry, stormwater-runoff, surface-sand-filter, urban-runoff, urban-stormwater, urbanization, usgs-5d1505bce4b0941bde5b766b
Organization: Department of the Interior
Pseudogymnoascus destructans survival at elevated temperatures – Artificial media count data

The survival of Pseudogymnoascus destructans (Pd) was evaluated at temperatures outside of its thermal range of growth on three different artificial growth media; Sabouraud dextrose agar (SD), brain-heart infusion agar (BHI), and brain-heart infusion agar supplemented with 10% sheep red blood cells (BHI+B). Pd was harvested from starting cultures grown of MEA agar at 7˚C for 60 days. Harvested conidia were diluted in Phosphate Buffered Saline + Tween20 and spread onto plates of a given medium. Plate were then incubated at either 24, 30 or 37˚C. Plates were incubated for 1, 5, 9, 15, 30, 60, 90, 120, or 150 days before being transferred to a 7˚C incubator for 50 days. Colony forming units (CFUs) of Pd were then enumerated, resulting in a time series of Pd survival on a given medium at a given temperature. As each medium was inoculated from a different starting culture of Pd, a control group for each medium was created by inoculating plates as above and then immediate incubation at 7˚C for 50 days. The number of CFUs on the control plates was used as a statistical offset factor which allowed for the fair comparison of Pd survival between different media. The number of conidia initially plated onto each plate varied between 100, 1000 , and 10,000, depending on the temperature-medium treatment combination. In order to ensure robust statistical analysis, all data was rescaled by an appropriate correction factor which is also presented in the datafile.

Tags: biota, fungal-pathogens, pathogen-survival, persistence, pseudogymnoascus-destructans, temperature, usgs-5d14e267e4b0941bde5b749c, white-nose-syndrome
Organization: Department of the Interior
LEAN-Corrected DEM for Suisun Marsh

Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for Suisun marsh using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (6912 points, collected across public and private land in 2018), Normalized Difference Vegetation Index (NDVI) derived from an airborne multispectral image (June 2018), a 1 m lidar DEM from September 2018, and a 1 m canopy surface model were used to generate models of predicted bias across the study domain. Due to the large differences in vegetation height and density between natural and diked wetlands, we calibrated a separate model for each cover type. The modeled predicted bias for each cover type was then subtracted from the original lidar DEM to generate a new DEM. Across all GPS points, mean initial lidar error was 22.5 cm (SD=17.5) and root-mean squared error (RMSE) was 28.5 cm. After correction with LEAN, mean error was 0 cm (SD=9.7) and RMSE was 9.7 cm, a 66 percent improvement in accuracy. Some ponds were partially flooded and had no lidar returns; to create a continuous coverage, we iteratively used the focal statistics tool with a 10 meter radius to expand the corrected elevation values into NoData areas until data gaps were covered. Large channels were masked out from the final DEM using the lidar returns and airborne imagery.

Tags: digital-elevation-models, elevation, estuary, lidar, san-francisco-bay-estuary, suisun-marsh, usgs-5d140b8ae4b0941bde59934a, wetlands
Organization: Department of the Interior
Channel narrowing data for the lower Green River in the Canyonlands region, Utah, USA

The 'Channel Width' shapefile data are measurements of the active channel width of the Green River at 1-km intervals in and near Canyonlands National Park, Utah. The active channel was defined as the area of the wetted, or inundated, channel as visible on aerial photographs plus the area of bare (free of vegetation) sand and gravel bars. The active channel for each aerial photograph series was hand digitized on a computer screen in ArcGIS version 9.2. The 'Mineral Bottom' csv data are river channel cross-sections for a 3-km study reach of the Green River upstream from Mineral Bottom, Utah. The study reach is near the mouth of Hell Roaring Canyon, 5 km upstream from the Mineral Bottom boat ramp, which is 85 km upstream from the confluence of the Green River with the Colorado River. Six cross-sections were originally established by the U.S. Fish and Wildlife Service in June 1995. Additional  cross-sections were added by Utah State University in August 1995. A subset of the cross-sections (where original monuments were found) were re-surveyed by the U.S. Geological Survey Grand Canyon Monitoring and Research Center in cooperation with Utah State University in June 2015. These raster data are aerial images and digital elevation models (DEMs) for segments of the Green River in and near Canyonlands National Park, Utah. The aerial images depict the river channel and adjacent floodplains for most of the corridor of the Green River in Canyonlands National Park. The images were aquired from public sources and orthorectified and mosaiced for this study. The DEMs cover the river channel and adjacent floodplain for the Fort Bottom segment of the Green River within Canyonlands National Park and included both bathymetric and topographic data. The bathymetric data were collected by the U.S. Geological Survey Grand Canyon Monitoring and Research Center with funding provided by the National Park Service. The topographic data are airborne lidar data that were collected for the state of Utah by a contractor.

Tags: bathymetry-data, canyonlands, canyonlands-national-park, effects-of-dams, fluvial-geomorphology, fort-bottom, green-river, inlandwaters, labyrinth-canyon, mineral-bottom, reaches, river-channel-change, river-systems, streamflow, streamflow-regulation, usgs-5d13c034e4b0941bde592738, utah
Organization: Department of the Interior
Segment-scale classification, large rivers of the Upper Midwest United States

This dataset is part of a multi-scale assessment and classification for segments of 15 rivers of the Upper Midwest United States that meet various criteria for largeness. All rivers are tributary to the Mississippi River system. The 11,600 kilometers (km) that qualified as large were parsed into 10-kilometer-long segments and classified by major alterations (free-flowing, navigation pools, storage reservoir). The dataset also includes a statistically based, component classification based on the 10-km segments. Cluster analysis of hydrologic variables from 66 streamflow gaging stations yielded 5 clusters calculated from 5 ecohydrological metrics related to lateral connectivity with the floodplain. A separate cluster analysis of 5 geomorphologic variables associated with each of 1,172 river segments also yielded 5 clusters. When the hydrologic variables were associated with corresponding segments, the cluster analysis yielded 8 hydrogeomorphic clusters that can be explained in terms of their contribution to floodplain connectivity. Although the clusters overlap considerably in principal component space, the resulting hydrogeomorphic classification leads to a physically reasonable distribution of classes.

Tags: connectivity, ecohydrology, freshwater-ecosystems, midwest, mississippi-river-basin, missouri-river-basin, ohio-river-basin, river-systems, terminologies-and-classifications, usgs-5d138c21e4b0941bde589bca
Organization: Department of the Interior
Nitrogen concentrations and loads and seasonal nitrogen loads in selected Long Island Sound tributaries, water years 1995-2016

This U.S. Geological Survey data release presents tabular data on nitrogen concentrations and loads for multiple nitrogen species, and river discharge data used in the analysis of data collected from October 1994 to September 2016. Data on flow and nitrogen concentrations were analyzed using the USGS EGRET R package, and the method of WRTDS (Weighted Regression on Time Discharge and Season). 
Data and outputs summarized are for water-quality data collected from 18 water-quality monitoring stations in the Long Island Sound watershed. Specific data in tabular format for this release include: calculated annual nitrogen concentration and loads, calculated annual flow-normalized nitrogen concentrations and loads by water year (for sites with 20 years of data or more), and calculated annual seasonal loads of each nitrogen constituent by calendar year. Measured daily river discharge data and sampled nitrogen concentration data for each water-quality monitoring site are available as tables accessible within R statistical software.

Tags: connecticut, load-analysis, long-island-sound, long-island-sound-watershed, nitrogen, nutrient-content-water, rhode-island, stream-discharge, surface-water-quality, usgs-5d137f19e4b0941bde581b67, weighted-regression, wrtds
Organization: Department of the Interior