AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrologic indicator statistics used to examine changes in streamflows associated with changing land use practices in Minnesota, 1945-2015

Hydrologic indicator statistics were computed for 82 selected surface water sites located throughout Minnesota using daily streamflow data from the U.S. Geological Survey (USGS) National Water Information System (NWIS). The 187 hydrologic indicator statistics were computed in RStudio version 3.5.0 using the EflowStats version 5.0.0 (Mills and Blodgett, 2017) and NWCCompare version 5.0 (Blodgett, 2017). The computed hydrologic indicator statistics encompass the five components of hydrologic conditions: magnitude, frequency, duration, timing, and rate of change. Magnitude is the amount of water moving past a fixed location in a given unit of time. Frequency refers to how often streamflows above a given magnitude recur over a specified time interval. Duration is the period of time associated with a specific streamflow condition. Timing refers to the regularity with which streamflows of a given magnitude occur, and rate of change refers to how quickly the magnitude of streamflow changes (Poff and others, 1997). Site selection was based on sites previously selected in three other studies evaluating long-term streamflow records for trends (Novatny and Stefan, 2007; Peterson, Nieber, and Kanivetsky, 2011; Ziegeweid et.al, 2015). Nontrend sites were shown to not have trends in streamflow that were not related to precipitation. Hydrologic indicator statistics were computed for two periods: 1) the pre-period from 10-1-1944 through 9-30-1979 and 2) the post-period from 10-1-1980 through 9-30-2015. Exact dates of the start of trends varied among sites, but 1980 was the selected cutoff period based on an approximation of the largest cluster and on other anecdotal evidence of changes in farming practices. Both categories also had at least 10 water years with complete streamflow data. 
Blodgett, D., 2017, NWCCompare: Returns NWC comparison stats for two daily data sets version 5.0, https://github.com/USGS-R/NWCCompare. 
Mills, J., and Blodgett, D., 2017, EflowStats: Hydrologic Indicator and Alterations Stats version 5.0.0, https://github.com/USGS-R/EflowStats. 
Novotny, E.V., and Stefan, H.G., 2007, Stream flow in Minnesota: Indicator of climate change, Journal of Hydrology 334: 319-333. 
Peterson, H.M., Nieber, J.L., and Kanivetsky, R., 2011, Hydrologic regionalization to assess anthropogenic changes, Journal of Hydrology 408: 212-225. 
Ziegeweid, J.R., Lorenz, D.L., Sanocki, C.A., and Czuba, C.R., 2015, Methods for estimating flow-duration curve and low-flow frequency statistics for ungaged locations on small streams in Minnesota: U.S. Geological Survey Scientific Investigations Report 2015–5170, 23 p., http://dx.doi.org/10.3133/sir20155170.

Tags: minnesota, stream-discharge, streamflow, surface-water, usgs-5b465724e4b060350a15c6d9
Organization: Department of the Interior
Midway Atoll Hatch Year 2012 Black-footed Albatross Nest Locations

Approximately one-third of the global population of black-footed albatrosses (Phoebastria nigripes) nest at Midway Atoll in the Northwestern Hawaiian Islands. As part of an effort to monitor albatross at this globally important site, USFWS personnel and volunteers conduct an annual, spatially-explicit, atoll-wide albatross census during peak nesting when albatrosses are attending an egg (December-January). During the 2011-2012 breeding season (hatch year 2012) the census was conducted December 16, 2011–January 8, 2012. Albatross nest counts during the census were divided into 61 historically established, spatially-explicit sectors of unequal area. Within a sector, surveyors walked parallel transects approximately 3 m apart counting every nest. After a sector was censused, we collected black-footed albatross nest location data using hand-held global positioning system (GPS) units (Trimble GeoXM and GeoXT unit; ± &lt; 3 m accuracy). Time constraints prevented collection of GPS location data of every nest. We collected GPS locations for black-footed albatross nests in nearly 70% (419.7 ha) of the atoll area, prioritizing coastal high density nesting areas. This dataset contains 13,340 black-footed albatross nest locations, representing 52% of the 25,510 nests that were counted during the hatch year 2012 census.

Tags: animal-and-plant-census, birds, black-footed-albatross, census-areas, coastal-processes, habitats, midway-atoll, northwestern-hawaiian-islands, tsunamis, usgs-5b078c72e4b0ac450c98bd1e
Organization: Department of the Interior
Midway Atoll Albatross Survey Sectors

Three albatross species breed at Midway Atoll: black-footed (Phoebastria nigripes), Laysan (P. immutabilis), and short-tailed (P. albatrus). This dataset contains the boundaries of survey area sectors used during the USFWS albatross censuses at Midway Atoll National Wildlife Refuge. The entire area of the atoll is divided into 61 unequal-area sectors. Sector boundaries were established by the USFWS. USGS digitzed the sector boundaries using satellite imagery and data points collected during the 2011-2012 albatross breeding season (hatch year 2012).

Tags: animal-and-plant-census, birds, census-areas, coastal-processes, habitats, midway-atoll, northwestern-hawaiian-islands, tsunamis, usgs-5b078c34e4b0ac450c98bd1c
Organization: Department of the Interior
Midway landcover 2010Jan14

This dataset contains a raster-based landcover map for Midway Atoll as of Jan 14, 2010. Landcover is classified into 9 different categories including various types of vegetation, bare ground, beach, and human structures. These categories were created using manual digitizing and unsupervised classification techniques on a DigitalGlobe WorldView-2 satellite image taken January 14, 2010.

Tags: birds, coastal-processes, habitats, tsunamis, usgs-5b078b64e4b0ac450c98bd1a
Organization: Department of the Interior
Midway Atoll inundation area during the 2011 tsunami

This polygon layer delineates the area inundated during the March 11, 2011 tsunami. It is based on a tracking file generated by Pete Leary, of US Fish and Wildlife Service, who traversed the high water mark (debris line) of the tsunmai on March 15, 2011. The coastline at Midway Atoll, which changes from year to year and season to season, was taken from the last available image (Jan. 14, 2010) prior to the tsuanmi event. The tsunami inundation area represents the area bound by the high water mark and the coastline.

Tags: coastal-processes-and-hazards, midway-atoll, northwestern-hawaiian-islands, tsunamis, usgs-5b078b38e4b0ac450c98bd18
Organization: Department of the Interior
Midway Atoll Coastline 2010Jan 14

This dataset contains a screen-digitized coastline for Midway Atoll (Sand, Eastern, and Spit Islands) based on a DigitalGlobe WorldView-2 satellite image taken on January 14, 2010. The digitized coastline was not corrected for tide since no digital elevation model was available at the time the image was collected. Like most of the Northwestern Hawaiian Islands, this coastline is very dynamic and changes considerably from season to season, year to year, as erosion and depsoition of sand are in constant flux.

Tags: birds, coastal-processes, midway-atoll, northwestern-hawaiian-islands, tsunamis, usgs-5b078b03e4b0ac450c98bd16
Organization: Department of the Interior
Laysan Island landcover 18May2010

This dataset contains landcover classes for Laysan Island based on a satellite image taken by DigitalGlobe, Inc. on May 18, 2010. Landcover was classified into 15 different categories, categories determined by how avifauna use these categories for habitat, nesting and foraging.

Tags: birds, coastal-processes, habitats, laysan-island, northwestern-hawaiian-islands, tsunamis, usgs-5b078abbe4b0ac450c98bd14
Organization: Department of the Interior
Laysan Island inundation area during 2011 tsunami

This GIS shapefile delineates the approximate inundation extent on Laysan Island during the March 11, 2011 tsunami event that originated off the Tohoku coast of Japan. The high water mark was created from a GPS track file of the debris line taken on March 12, 2011, the day after the tsunami. The coastline at the time of the tsunami was estimated based on the location of the coastline as viewed in a satellite image taken approximately 10 months before the tsunami(May 18, 2010). The inundation extent was estimated as the polygon area bound by the coastline and high water mark.

Tags: birds, coastal-processes-and-hazards, habitats, laysan-island, northwestern-hawaiian-islands, tsunamis, usgs-5b078a8fe4b0ac450c98bd0f
Organization: Department of the Interior
Laysan Island coastline 2010May18

This dataset contains a screen-digitized coastline for Laysan Island based on a DigitalGlobe WorldView-2 satellite image taken on May 18, 2010. After digitization the coastline was corrected for tide using a 1-meter digital elevation model (DEM). It was also smoothed in ArcGIS 10 to remove some of the inherent jaggedness from the point-by-point digitizing process. Like most of the Northwestern Hawaiian Islands, this coastline is very dynamic and changes considerably from season to season, year to year, as erosion and deposition of sand are in flux.

Tags: birds, coastal-processes, habitats, laysan-island, northwestern-hawaiian-islands, tsunamis, usgs-5b0789eae4b0ac450c98bcf9
Organization: Department of the Interior
Counts of American Pikas and Hoary Marmots in North Cascades National Park 2016-2017

USGS scientists counted American pikas (Ochotona princeps) and hoary marmots (Marmota caligata) in North Cascades National Park, Washington, USA during 2016. Hoary marmots were resurveyed in 2017, primarily by the National Park Service. Surveys occurred at sites of previous studies by Jason Bruggeman (pikas - 2009-2013), Aidan Beers (pikas - 2013-2015), and Roger Christophersen (marmots - 2007-2008) and followed protocols implemented by these researchers. Data include animal counts, survey locations, and survey dates for all surveys conducted by USGS. Marmots are classified as adult, yearling, or juvenile for observations in which age was evident.

Tags: biota, ecology, marmot, north-cascades-national-park, pika, snowpack, usgs-5b071cbee4b0ac450c98b56a, washington, weather
Organization: Department of the Interior
Estimated Probabilities from Lidar Models for Marbled Murrelet (Brachyramphus marmoratus) Occupancy in Forest Vegetation Stands in the Siuslaw National Forest, Oregon

We developed a LiDAR-based habitat model for the threatened Marbled Murrelet (MAMU) in the Siuslaw National Forest, Oregon, using a two-step approach. First, we tested the applicability of the LiDAR-based model developed for the Coos Bay District of the Bureau of Land Management (BLM) to the Siuslaw N.F. In the second step, we tested alternative habitat models developed with forest structural data and Murrelet survey data from the Siuslaw N.F. We compared the performance of each model to provide forest managers with the best predictive tool to guide habitat management for the Marbled Murrelet. This shapefile contains the probability of Marbled Murrelet occupancy values of each model for vegetation polygons defined by the Siuslaw National Forest.

Tags: biota, birds, endangered-species, environment, forest-ecosystems, lidar, oregon, oregon-coast-range, pacific-northwest, remote-sensing, siuslaw-national-forest, usgs-5b071250e4b0ac450c98b538, vegetation
Organization: Department of the Interior
Geomorphic Change-Sediment Transport Data for Kanab Creek, Arizona USA

These data were compiled to accompany flow modeling work on Kanab Creek near the mouth (USGS gage 09403850). The data include topographic data collected by a remote sensing detection light detection and ranging (LIDAR) system and surveying total station in June 2017, high water marks from six floods from 2011 to 2013, and control points and gage structures. Topographic data include ground topography collected by LIDAR and channel bathymetry collected by total station survey of a 600 meter reach of Kanab Creek, ending at the confluence with the Colorado River in Grand Canyon, Arizona. High water mark data include sets from six floods collected by USGS personnel using total station surveys.

Tags: arizona, baseline-data, change-detection, channel-bathymetry, coconino-county, colorado-river, control-points, elevation, flow-modeling, gage-structures, geomorphic-change, geoscientific-information, grand-canyon, high-water-marks, historic-flood-discharges, imagery-base-maps-earth-cover, indirect-discharge-measurement, inland-waters, kanab-creek, lidar, light-detection-and-ranging, location, planning-cadastre, southwestern-united-states, topographic-data, topography, total-station-survey-data, united-states, usgs-5b06fb93e4b0ac450c98b399
Organization: Department of the Interior
Watershed potential erosion rate ranking system and check-dam placement suitability data within the Southern Rockies Landscape Conservation Cooperative (SRLCC)

Using Natural Resource Conservation Service (NRCS) soil databases, topographic features derived from digital elevation models, stream networks, and regional climatic patterns, I developed a ranking system for watershed potential erosion rates and suitability for check-dam placement across the SRLCC. This ranking system serves as a first step for land managers to prioritize areas for check-dam installation based on relatively static factors (soil properties, topography, and hydrology) that can contribute to rates of soil erosion by water and the stability of check-dams. Many other relatively dynamic factors over time can contribute to rates of soil erosion by water, such as recent wildfire events, changes in weather patterns and extreme climate events, and changing land-use such as grazing, logging, mining, development, and cultivation. These factors that influence vegetative and biological soil crusts cover are also important elements to the potential erosion of soil by water. Because of this, SRLCC stakeholders might consider further evaluation of the watersheds identified here as high ranking. Final watershed prioritization among the high-ranking watersheds identified here should include current knowledge of land-use and land-cover estimates to identify areas at risk for soil erosion or degree of existing erosion problems.

Tags: arizona, check-dams, colorado, conservation, environment, erosion, erosion-rates, idaho, inlandwaters, nevada, new-mexico, ranking-system, restoration, sediment-catchment, soil-erosion, southern-rockies-lcc, stream-restoration, suitability, usgs-5b06f9c3e4b0ac450c98b34f, utah, watershed-potential-erosion-rates, watershed-prioritization, watersheds, wyoming
Organization: Department of the Interior
Isotope and chemical data for: Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane not basin stagnation

These data consist of sulfur and carbon isotope compositions, concentrations of selected elements, and concentrations of pyrite sulfur and organic carbon in mudstone samples collected from five cores drilled in the Howards Pass district, Yukon-Northwest Territories, Canada. The cores were drilled between 2006 and 2014, site visits and core sampling took place between 2009 and 2016, and laboratory work was conducted between 2011 and 2017. The data were obtained as part of a research project described in the following publication: 
Johnson, C.A., Slack, J.F., Dumoulin, J.A., Kelley, K.D., and Falck, H., 2018, Sulfur isotopes of host strata for Howards Pass (Yukon-Northwest Territories) Zn-Pb deposits implicate anaerobic oxidation of methane, not basin stagnation: Geology, in press.

Tags: canada, carbon-isotope-analysis, economic-geology, isotopic-analysis, metallic-mineral-resources, mineral-deposits, northwest-territories, ordovician, silurian, sulfur, usgs-5b05ab5ae4b0ac450c971c1e, yukon
Organization: Department of the Interior
Magnetotelluric data from Mountain Pass, CA, 2015

This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.

Tags: apparent-resistivity, california, cenozoic, clark-mountain, earth-magnetic-field, electromagnetic-surveying, geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, impedance, ivanpah, magnetotelluric-surveying, magnetotellurics, mescal-ranges, mesozoic, mineral-resources-program, mojave, mountain-pass, mrp, mt, paleozoic, phase, proterozoic, san-bernardino-county, time-series, tipper, usgs-5b4008bfe4b060350a10c69e
Organization: Department of the Interior
Black carp and grass carp morphometric measurements

Black carp Mylopharyngodon piceus and grass carp Ctenopharyngodon idella are morphologically similar species imported from eastern Asia to North America as biological control organisms.  Preferred identification methods are coloration and pharyngeal tooth form. Grass carp possess serrated teeth and black carp molariform teeth. Examination of pharyngeal teeth causes extensive damage to a specimen, and is labor and time intensive. Coloration can vary within a species and fades with preservation. We present a suite of external characteristics consisting of a truss network canonical variate analysis of distance measurements among landmarks on the lateral view of the head of each fish, the ratio of head length to mouth width, anterior lateral line angles among scales, and the visible presence of the premaxilla viewed from the dorsum that can be applied for identification.

Tags: asian-carp, atchafalaya-river, biota, black-carp, grass-carp, great-lakes, ichthyology, illinois-river, kaskaskia-river, mississippi-river, missouri, morphometric, ohio-river, usgs-5b05a7fce4b0ac450c971bfb
Organization: Department of the Interior
Calibration datasets and model archive summaries for regression models developed to estimate metal concentrations at nine sites on the Animas and San Juan Rivers, Colorado, New Mexico, and Utah: U.S. Geological Survey data release, https://doi.org/10.5066/P9THSFE0

This data release supports the following publication: Mast, M. A., 2018, Estimating metal concentrations with regression analysis and water-quality surrogates at nine sites on the Animas and San Juan Rivers, Colorado, New Mexico, and Utah: U.S. Geological Survey Scientific Investigations Report 2018-5116. The U.S. Geological Survey (USGS), in cooperation with the U. S. Environmental Protection Agency (EPA), developed site-specific regression models to estimate concentrations of selected metals at nine USGS streamflow-gaging stations along the Animas and San Juan Rivers. Multiple linear-regression models were developed by relating metal concentrations in discrete water-quality samples to continuously monitored streamflow and surrogate parameters including specific conductance, pH, turbidity, and water temperature.  Models were developed for dissolved and total concentrations of aluminum, arsenic, cadmium, iron, lead, manganese, and zinc using water-quality samples collected during 2005–17 by several agencies, using different collection methods and analytical laboratories. Calibration datasets in comma-separated format (CSV) include the variables of sampling date and time, metal concentrations (in micrograms per liter), stream discharge (in cubic feet per second), specific conductance (in microsiemens per centimeter at 25 degrees Celsius), pH, water temperature (in degrees Celsius), turbidity (in nephelometric turbidity units), and calculated seasonal terms based on Julian day. Surrogate parameters and discrete water-quality samples were used from nine sites including Cement Creek at Silverton, Colo. (USGS station 09358550); Animas River below Silverton, Colo. (USGS station 09359020); Animas River at Durango, Colo. (USGS station 09361500); Animas River Near Cedar Hill, N. Mex. (USGS station 09363500); Animas River below Aztec, N. Mex. (USGS station 09364010); San Juan River at Farmington, N. Mex. (USGS station 09365000); San Juan River at Shiprock, N. Mex (USGS Station 09368000); San Juan River at Four Corners, Colo. (USGS station 09371010); and San Juan River near Bluff, Utah (USGS station 09379500). Model archive summaries in pdf format include model statistics, data, and plots and were generated using a R script developed by USGS Kansas Water Science Center available at https://patrickeslick.github.io/ModelArchiveSummary/. A description of each USGS streamflow gaging station along with information about the calibration datasets also are provided.

Tags: animas-river, cement-creek, colorado, new-mexico, regression-modeling, san-juan-river, trace-metals, usgs-5b059bb2e4b0ac450c971bbd, utah, water-quality
Organization: Department of the Interior
Do downscaled general circulation models reliably simulate historical climatic conditions?

This dataset includes nine files (in comma-separated value format [.csv]) which contain metrics that are described in the Bock and others 2018 Earth Interactions article “Do downscaled general circulation models reliably simulate historical climatic conditions?” Three files contain p-values from the two-sided Kolmogorov-Smirnov Test (that compared distributions of three variables (precipitation [CONUS_KS_PPT.csv], temperature [CONUS_KS_TAVE.csv], and runoff [CONUS_KS_RUN.csv]) derived from statistically-downscaled general circulation models (SD GCM) with distributions of the three variables derived from gridded station data (GSD) for historical conditions (1950 through 2005). Three files contain the x-axis value (Dx) at which the largest vertical difference occurs between the distributions of SD GCMs and GSD for the three variables (DX_PPT/TAVE/RUN.csv).  Three files describe if the relative value of the SD GCM variable is greater or less than the GSD at the Dx value.  See Bock and others (2018) for full description of the three metrics (DB_PPT/TAVE/RUN.csv).  The metrics are calculated from variables previously summarized across the conterminous United States for hydrologic response units of the Geospatial Fabric for National Hydrologic Modeling (Viger and Bock, 2014).  Runoff was previously derived using a monthly water balance model (Bock and others, 2016; 2017).  Names, sources, and references of the climate inputs (SD GCMS and GSD) are described in Bock and others (2017).

Tags: air-temperature, inlandwaters, precipitation-atmospheric, runoff, usgs-5b049666e4b0d8682b96368b
Organization: Department of the Interior
Nitrapyrin and Herbicide Concentrations in Soil in the Midwestern US (April 2017 to May 2017)

Nitrapyrin, a nitrification inhibitor, and three co-applied herbicides (acetochlor, atrazine, and metolachlor) were measured in soil samples from an agricultural field in Iowa. Samples were collected from three locations in the field before and after nitrapyrin application in April-May 2017. Soils were collected using a 5-inch pipe that was hammered into the ground. Soil samples were extracted using pressurized solvent extraction (with dichloromethane), clean-up via solid phase extraction (carbon and alumina sorbents), and analyzed by gas chromatography with mass-spectrometry.

Tags: agricultural-soils, agriculture, contaminant-transport, corn-belt-region, ecotoxicology, herbicide, iowa, nitrapyrin, united-states, usgs-5b0476aee4b0d8682b963584
Organization: Department of the Interior