AndreaBozzo/ceres-open-data-index huggingface dataset:
Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset

To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and maximum daily air temperature. Additional datasets of upstream basin area and binary stream presence-absence are provided to help validate queries against the flow-conditioned data. These data are provided as virtual raster tile (vrt) mosaics of cloud optimized GeoTIFFs to allow point queries of the data (see Distribution Information) without requiring downloading the whole dataset.

Tags: climatologymeteorologyatmosphere, cpg, daymet, environment, fcpg, flow-conditioned-parameter-grids, geoscientificinformation, hydrologic, hydrology, inlandwaters, land-cover, national-hydrography-dataset, nhd, nlcd, usgs, usgs-5f3ab12082ce8df5b6c4076a, water, water-inland
Organization: Department of the Interior
Water-quality measurements (near surface) collected along cross-section and longitudinal lines in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, June 26–29, 2017 (survey #2)

Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). All velocity and water-quality data were georeferenced with a differential GPS receiver with submeter accuracy. The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for Asian carp.

Tags: acoustic-doppler-current-profiler, dissolved-oxygen, indiana, kentucky, louisville, markland-locks-and-dam, mcalpine-locks-and-dam, multiparameter-sonde, ohio-river, ph, river, specific-conductance, temperature, united-states-of-america, usgs-5f35a1ff82cee144fb3598bb, velocity, warsaw, water-quality
Organization: Department of the Interior
Water-quality measurements (at depths) collected at stationary locations (verticals) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, June 26–29, 2017 (survey #2)

Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). All velocity and water-quality data were georeferenced with a differential GPS receiver with submeter accuracy. The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for Asian carp.

Tags: acoustic-doppler-current-profiler, dissolved-oxygen, indiana, kentucky, louisville, markland-locks-and-dam, mcalpine-locks-and-dam, multiparameter-sonde, ohio-river, ph, river, specific-conductance, temperature, united-states-of-america, usgs-5f35a23082cee144fb3598c2, velocity, warsaw, water-quality
Organization: Department of the Interior
Water-quality measurements (at depths) collected at stationary locations (verticals) in the Ohio River between Markland Locks and Dam and McAlpine Locks and Dam, Kentucky and Indiana, October 27–November 4, 2016 (survey #1)

Velocity and water-quality surveys were completed along an approximately 71-mile reach of the Ohio River between Markland Locks and Dam (river mile 531.5) and McAlpine Locks and Dam (river mile 606.8) on October 27–November 4, 2016 (survey #1), and June 26–29, 2017 (survey #2). Water-quality data collected in this reach included surface measurements and vertical profiles of water temperature, specific conductance, pH, dissolved oxygen, turbidity, chlorophyll, and phycocyanin. Streamflow and velocity data were collected simultaneous to the water-quality data at cross-sections and along longitudinal lines (corresponding to the water-quality surface measurements) and at selected stationary locations (corresponding to the water-quality vertical profiles). All velocity and water-quality data were georeferenced with a differential GPS receiver with submeter accuracy. The data were collected to understand variability of flow and water-quality conditions relative to simulated reaches of the Ohio River and to aid in identifying parts of the reach that may provide conditions favorable to spawning and recruitment habitat for Asian carp.

Tags: acoustic-doppler-current-profiler, chlorophyll, dissolved-oxygen, indiana, kentucky, louisville, markland-locks-and-dam, mcalpine-locks-and-dam, multiparameter-sonde, ohio-river, ph, phycocyanin, river, specific-conductance, temperature, turbidity, united-states-of-america, usgs-5f35a2b882cee144fb3598d6, velocity, warsaw, water-quality
Organization: Department of the Interior
Taxonomic composition of environmental DNA acquired by filtration from the St. Regis River, New York

Environmental DNA (eDNA) surveys have become important tools for monitoring aquatic biodiversity. Barcode sequencing of eDNA generates community profiles that, while potentially biased in both capture and amplification, can nonetheless yield high information content per unit cost. While factors affecting eDNA capture and amplification have been heavily studied, watershed-scale assessments of fish communities and our confidence in such have been less frequent. 
We performed an initial watershed-scale characterization of fish eDNA using rapid, low-volume filtering with replicate and control samples scaled for a single Illumina MiSeq flow cell, using the mitochondrial 12S ribosomal RNA locus for taxonomic profiling. Our bioinformatic approach included 1) direct estimation of sequencing error from unambiguous mappings (alignments) and simulation of error in taxonomic assignment under various mapping criteria; 2) binning of species based on inferred assignment error rather than by taxonomic rank; and 3) visualization of mismatch distributions to facilitate discovery of distinct haplotypes attributed to the same reference. Our approach was implemented for the St. Regis River, New York, United States, which supports a valuable recreational fishery and has been a target of restoration activities. We used a large record of St. Regis-specific observations to validate our assignments.
We found that 300 mL drawn through 25-mm filters yielded greater than 5 ng/µL DNA at most sites in August and September, which was an approximate threshold for generating strong sequencing libraries in our hands. Using inferred sequence error rates, we binned 12S references for 110 species on a state-level checklist into 85 single-species bins and seven multispecies bins. Of 48 taxonomic bins actually observed in the St. Regis, we detected eDNA consistent with 40, with an additional four detections flagged as potential contaminants post-collection. Sixteen unobserved species detected by eDNA ranged from plausible to implausible based on distributional data, whereas six observed species had no 12S reference sequence.

Tags: fishery-technology, fishes, imagerybasemapsearthcover, new-york-state, st-regis-river-new-york, usgs-5f35b83082cee144fb35a75d
Organization: Department of the Interior
Benthic macroinvertebrate tailwater data in the Colorado River Basin, 2013 &amp; 2015

These benthic macroinvertebrate data and associated site characteristics were compiled for the purpose of exploring any relationships between large dams in the Colorado River Basin, their flow management and geographical context, and their associated downstream benthic macroinvertebrate communities. The goal of the analyses based upon these data was to understand how dam conditions, specifically hydropower fluctuations for hydropower generation ("hydropeaking") might influence the structure of benthic macroinvertebrate communities, and how this community structure may change with distance downstream from each dam. These benthic macroinvertebrate samples were collected in spring 2015 by scientists from the U.S. Geological Survey's Grand Canyon Monitoring and Research Center and collaborators at Oregon State University, and samples were subsequently processed in the research laboratories of these entities. Samples were collected from the tailwaters downstream of seven large dams in the Colorado River Basin: Fontenelle and Flaming Gorge Dams on the Green River, Navajo Dam on the San Juan River, and Glen Canyon, Hoover, Davis, and Parker Dams on the Colorado River. Samples were collected using a variety of methods depending on the available habitat, including Surber net, ponar dredge, rock scrubbing, Hess sampler, and vacuum suction device methods.

Tags: arizona, aztec, benthic-macroinvertebrates, biota, boulder-city, bullhead-city, colorado-river, dam, dams, davis-dam, dutch-john, environmental-flows, flaming-gorge-dam, fontenelle-dam, glen-canyon-dam, green-river, hoover-dam, hydropeaking, inlandwaters, invertebrates, kemmerer, laughlin, macroinvertebrate, marble-canyon, navajo-dam, nevada, new-mexico, parker, parker-dam, seedskadee-national-wildlife-refuge, usgs-5f36b01682cee144fb3873a1, utah, wyoming
Organization: Department of the Interior
Arsenic, manganese, and pH groundwater quality data, selected well construction characteristics, and aquifer assignments for wells in the conterminous U.S.

This data release contains groundwater-quality data for three parameters of interest (arsenic, manganese, and pH) and well information for sample sites for aquifers in the conterminous U.S. Water-quality data and well information were derived from a dataset compiled from three sources: the U.S. Geological Survey (USGS) National Water Information System (NWIS), the U.S. Environmental Protection Agency (USEPA) Safe Drinking Water Information System (SDWIS), and numerous agencies and organizations at the state, regional, and local level. The data compilation of the National Water Quality Program’s groundwater assessment team is an internal dataset informally referred to as the National Groundwater Aggregation (NGA). The current study of groundwater quality in the conterminous U.S. augments data compiled by others globally. Only geochemical parameters of interest (arsenic, manganese, pH) from wells in the national groundwater aggregation are presented—data from springs were not used. 
A table of site information includes attributes for each well, such as the state, water use code, depth, open interval (if available) and aquifer (if available). The provider of the water-quality data and well information in also in this table.

Tags: aquifer, arsenic, environment, groundwater-quality, manganese, usgs-5f36baa782cee144fb3873e8, water-ph
Organization: Department of the Interior
Radiocarbon dating of deep-sea black corals collected off the southeastern United States

Results of radiocarbon dating of deep-sea (500 m to 700 m) black corals are presented. These corals were collected off the southeastern United States as part of the Southeastern United States Deep-Sea Corals (SEADESC) Initiative.

Tags: atlantic-ocean, carbon-14-analysis, chemical-analysis, chemical-oceanography, cmhrp, coastal-and-marine-hazards-and-resources-program, coelenterates, environment, fragile-ecosystems, geochemistry, geoscientificinformation, habitat, marine-chemistry, oceans, pacific-coastal-and-marine-science-center, pcmsc, radiometric-dating, south-atlantic-bight, u-s-geological-survey, usgs, usgs-5f36d30982cee144fb3874bc
Organization: Department of the Interior
Peak-flow frequency analysis for two selected streamgages in the Fourmile Creek Basin in central Iowa, based on data through water year 2018

This data release presents peak-flow frequency analyses by the U.S. Geological Survey that were based on methods described by Eash and others (2013) for streamgages 05485605 Fourmile Creek near Ankeny, Iowa, and 05485640 Fourmile Creek at Des Moines, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for these streamgages were retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2020) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (fourmile_ffa_2018_WATSTORE.txt), PeakFQ specifications (fourmile_ffa_2018.psf), and a series of tables describing the methods and results of the peak-flow frequency analysis (fourmile_ffa_2018.xlsx).
References Cited:
Eash, D.A., Barnes, K.K., and Veilleux, A.G., 2013, Methods for estimating annual exceedance-probability discharges for streams in Iowa, based on data through water year 2010: U.S. Geological Survey Scientific Investigations Report 2013-5086, 63 p. with appendix., http://pubs.usgs.gov/sir/2013/5086/.
U.S. Geological Survey, 2020, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, accessed June 20, 2020, at https://doi.org/10.5066/F7P55KJN.
Veilleux, A.G., Cohn, T.A., Flynn, K.M., Mason, R.R., Jr., and Hummel, P.R., 2014, Estimating magnitude and frequency of floods using the PeakFQ 7.0 program: U.S. Geological Survey Fact Sheet 2013–3108, 2 p., https://dx.doi.org/10.3133/fs20133108.

Tags: ankeny, annual-exceedance-probability, des-moines, fourmile-creek, hydrology, iowa, peak-flow-frequency, streamflow, usgs-5f36f09082cee144fb3877fb
Organization: Department of the Interior
Hydrologic reconnaissance to identify areas of emergent groundwater, Mineral Creek, near Silverton, Colorado, June 2020

Hydrologic reconnaissance of Mineral Creek near Silverton, Colo., was conducted from June 25-27, 2020.  Both banks of Mineral Creek and the adjacent hillsides were walked, starting near the ghost town of Chattanooga and proceeding downstream to the confluence of Mineral Creek with the Middle Fork of Mineral Creek. The purpose of this reconnaissance was to identify areas of emergent groundwater on the right (EGR) and left (EGL) banks, a task that was accomplished by following observed surface flows (seeps and springs) upgradient to the point at which they emanated from the subsurface. Coordinates, using a handheld global positioning system (GPS) device, and photographs were obtained at these locations of emergent groundwater. Water temperature and specific conductance were measured at a subset of locations. Elevation for each location was subsequently assigned using an existing LIDAR data set.  Similar procedures were followed at additional sites such as where surface flows entered Mineral Creek (right (RBI) and left (LBI) bank inflows) and the main stem of Mineral Creek (STR). These data are provided in a visual format through the associated KMZ file (224 MB), which provides an HTML formatted pop-up of unique point data and photograph when a waypoint is selected. This release is complementary to a synoptic study conducted in 1999 (Kimball and others, 2007).
References:
Kimball, B.A., Walton-Day, K. and Runkel, R.L., 2007, Quantification of metal loading by tracer injection and synoptic sampling, 1996-2000, chap. E9 of Church, S.E., von Guerard, P., and Finger, S.E., eds., Integrated investigations of environmental effects of historical mining in the Animas River Watershed, San Juan County, Colorado: U.S. Geological Survey Professional Paper 1651, p. 417–495. https://doi.org/10.3133/pp1651.

Tags: bonita-peak-mining-district, colorado, colorado-water-science-center, cwsc, environment, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, groundwater, hydrogeology, hydrology, mineral-creek, mineral-resources-program, mrp, san-juan-county, san-juan-mountains, silverton, silverton-caldera, southern-rocky-mountains-volcanic-field, u-s-geological-survey, usgs, usgs-5f37344882cee144fb388b49, water-chemistry
Organization: Department of the Interior
Channel mapping Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona - Data

Bathymetric, topographic, and grain-size data were collected from May 2013 to October 2016 along a 15-mi reach of the Colorado River in Glen Canyon National Recreation Area, Arizona by the U.S. Geological Survey Grand Canyon Monitoring and Research Center. The study reach is located from river miles -15 at the base of Glen Canyon Dam to 0 at Lees Ferry. Channel bathymetry was mapped using multibeam bathymetry collected in November 2014 and single beam bathymetry collected in February 2015, August 2015, February 2016, and June 2016. Subaerial topography was mapped using photogrammetry derived from aerial Imagery collected in May 2013 and ground-based total-stations collected in February 2015, October 2015, and October 2016. Bed-sediment grain-size data were collected in November 2014 using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps.

Tags: 1-m-resolution, aerial-photography, arizona, bathymetric-and-topographic-data, bathymetric-map, bathymetric-survey-data, bathymetry, bed-substrate-distribution, bed-substrate-map, benchmarks, boat-based-bathymetric-sonar-surveys, cartography, channel-bathymetry, channel-bed-substrate, colorado-river, dem, digital-elevation-models, digital-photogrammetry, digital-surface-model-dataset, elevation, elevation-map, elevation-uncertainty, environment, field-inventory-and-monitoring, field-monitoring-stations, fuzzy-inference-system, geodesy, geodetic-control-network-points, geoscientificinformation, geospatial-datasets, glen-canyon-dam, glen-canyon-national-recreation-areagrand-canyon-national-park, grand-canyon-national-park, gravel-deposits, ground-based-total-station-surveys, inlandwaters, land-surveying, lees-ferry, multibeam-sonar, point-density, remote-sensing, river-channel, river-reaches, riverbank-topography, roughness, sand-deposits, sandbars, single-beam-echo-sounder, slope, spatial-accuracy, subaerial-topography, topographic-maps, uncertainty, usgs-5f3aab9c82ce8df5b6c4074b, water-surface-elevations
Organization: Department of the Interior
Estimates of mean daily gross primary production and ecosystem respiration in beaver-affected reaches along Bronson and Fanno Creeks, OR

This data release contains estimates of mean daily gross primary production (GPP) and ecosystem respiration (ER) in Bronson and Fanno Creeks, Oregon during August of 2016. These estimates were part of a larger study of the water-quality effects of beaver dams and beaver activity in selected urban streams of the Tualatin River Basin in northwestern Oregon. The mean daily GPP and ER values were estimated using two approaches (both of which are publicly available and documented): 1) a USGS model developed using the R programming language and 2) a Washington Department of Ecology model that runs in Excel. Inputs for the models included hourly measurements of dissolved-oxygen concentration, water temperature, photosynthetically active radiation (PAR), and either pH or depth data, depending on the model.  Mean daily GPP and ER values were estimated concurrently at two sites (upstream and downstream of a beaver-affected reach) on Fanno Creek from August 1 through August 8, 2016. Mean daily GPP and ER values were estimated at one site on Bronson Creek from August 1 through August 8, 2016 and from August 12 through August 21, 2016 - before and after a beaver dam was built at the site.

Tags: aquatic-biology, hydrology, inlandwaters, oregon, tualatin-river-basin, usgs-5f3ab95f82ce8df5b6c4078c
Organization: Department of the Interior
Hawaiian Islands Hawaiian hoary bat genome assembly data, 2009-2015

This dataset contains the reference genome assembly, created from 23 Hawaiian hoary bats collected across the four Hawaiian Islands, Hawaii, Maui, Oahu, and Kauai. These data were collected in order to examine the phylogenetic history and patterns of genetic variation in the Hawaiian hoary bat. The raw sequencing data are deposited to National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under accession PRJNA559902. The data are archived in GenBank at the following URL: https://www.ncbi.nlm.nih.gov/bioproject/559902.
The data are stored in two files, one in a text-based FASTA format (HHB genome 2009-2015.fa) and the other in general feature format (HHB genome features 2009-2015.gff), both readable with text editors (e.g., Notepad) or text-processing/scripting tools (e.g., R or Python).

Tags: adaptation, biota, genetic-divergence, genome-assembly, hawaii-island, hawaiian-hoary-bat, hawaiian-islands, island-colonization, island-populations, kauai-island, lasiurus-semotus, maui-island, oahu-island, usgs-5f3abc4c82ce8df5b6c4079a
Organization: Department of the Interior