AndreaBozzo/ceres-open-data-index huggingface dataset:
Strawberry Utah time series (2018-2068) of potential habitat and 50-year change

Potential future greater sage-grouse (Centrocercus urophasianus) habitat restoration was projected (2018-2068) for three sage-grouse Priority Area for Conservation (PACs) populations located along the northwestern, central, and eastern edge of the Great Basin using outputs from a spatially explicit state-transition simulation model (STSM) developed for sagebrush ecosystems. These datasets, for the Strawberry Utah, USA (STRAW) sage-grouse population, include: 1) a set of 78 categorical raster layers illustrating a time series (decade intervals) of potential future habitat, and 2) a set of 15 uncategorized raster layers illustrating potential change in habitat classification across space, after simulating 50 years of five different post-fire sagebrush revegetation restoration actions. The habitat layers generated illustrate spatial and temporal variation in potential future habitat, and the potential for change from revegetation actions aimed at restoration of sagebrush and perennial grass cover conditions across the STRAW landscape. These layers identify areas of potential future habitat (suitable, marginally suitable, unsuitable) and change in habitat condition classification (improvement, deterioration, no change) following post-fire revegetation actions (seeding, planting).
The STSM represented the vegetation dynamics of sagebrush-steppe systems and included annual fires, annual grass invasion, conifer encroachment, and sagebrush revegetation restoration. The STSM was built using the Syncrosim software ST-Sim (stsim) platform with use of the stock-flow (stsimsf) submodel to simulate and track continuous vegetation component cover changes caused by annual growth, natural regeneration, and post-fire sagebrush seeding and planting restoration. Thirteen restoration scenarios representing a combination of three revegetation alternatives (no restoration, seeding, planting) under three effort levels (average, double, maximum), and two durations (single-year, multi-year) were simulated for each PAC landscape. Planting scenarios represented the sagebrush cover gains of planting 4 plants/m2 (low-density; LD planting) and 8 plants/m2 (high-density; HD planting). The Strawberry UT PAC represented an at-risk of juniper encroachment landscape with high amounts of pinyon-juniper conifer (13% of landscape). Simulated vegetation output was compared with sage-grouse perennial grass and sagebrush cover habitat needs to evaluate trajectories of potential habitat and potential for change in habitat classification after 50 years of recursive fire and the five best restoration scenarios of each type (no restoration, seeding, LD planting, HD planting, multi-year).

Tags: biota, centrocercus-urophasianus, environment, greater-sage-grouse, perennial-grass-cover, post-fire-restoration, sage-grouse-habitat, sagebrush-biome, sagebrush-cover, sagebrush-revegetation, state-and-transition-simulation-model, strawberry-priority-area-for-conservation, united-states, usgs-64497939d34ee8d4aded934d, utah, vegetation-change
Organization: Department of the Interior
Rhodamine concentration data, Kootenai River, near Bonners Ferry, Idaho, 2008

This data release provides measurements of dye concentration collected to support and validate numerical simulations of dispersion on the Kootenai River, downstream of Bonners Ferry, Idaho.  On August 13, 2008, at 06:00, 25.4 kilograms of rhodamine WT was diluted using raw river water in a 378.5 liter tank and released as a nearly single slug.  The dye was released near River Kilometer (RKM) 239 over a period of 17 minutes.  From 06:01 – 06:10 the dye was released at a fairly constant rate, and from 06:10 – 06:18 the dye was released at a slower rate associated with cleaning and rinsing the tank.
Measurements of dye concentration were made using water quality sondes with 6130 rhodamine probes.  Two sampling strategies were used: a repeat cross-section near river kilometer (RKm) 229 was measured over the duration of the passing dye to determine the spatial variability of concentration, and 11 fixed locations were distributed downstream of the dye injection, over a period of 81 hours, and 59 RKM following the dye release. During this time period the discharge of the river remained near 271 cubic meters per second (cms), with a standard deviation of 7 cms based on USGS station 12309500.

Tags: dispersion, rhodamine-wt-20, river-reach, usgs-568eb055e4b0e7a44bc59a56
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 transects and long-term linear regression shoreline change statistics for all data available within the Outer Cape Cod coastal region from Long Point in Provincetown to Monomoy Island (OuterCapeCod_transects_rates_LTw.shp)

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast.
The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

Tags: accretion, atlantic-coast, baseline, cape-cod, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historic-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, monomoy-island, net-shoreline-movement, new-england, nsm, oceans, provincetown, sce, shoreline, shoreline-change-envelope, shoreline-change-rate, transect, u-s-geological-survey, united-states, usgs, usgs-e96d15d4-1d23-44fc-a79e-6d2948ff892c, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Water Model Retrospective (v2.1) at benchmark streamflow locations for the conterminous United States (ver 3.0, March 2023)

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Water Model Retrospective (v2.1) at streamflow benchmark locations defined by Foks and others (2022). Modeled hourly timesteps were converted to mean daily timesteps. Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent bias in the flow duration curve high-segment volume, and the percent bias in flow duration curve low-segment volume. Two climatological KGE benchmarks are included that are calculated using daily mean streamflow observations and interannual daily mean or median flows. Additionally, KGE uncertainty estimates have been added as a separate csv file including the standard error of jackknife, standard error of bootstrap, the 5th, 50th and 95th percentiles of the estimates, the jackknife score, the bias of jackknife, the bias of bootstrap, and the standard error of jackknife after bootstrap.

Tags: hydrology, inlandwaters, model-evaluation, statistical-analysis, streamflow, streamflow-prediction, usgs-62336af9d34ec9f19eeb48fd
Organization: Department of the Interior
SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Monomoy Island, MA, 2013-2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-habitat, coastal-processes, environment, erosion, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, hazards, image-analysis, ma, massachusetts, mean-high-water, mhw, monomoy-island, monomoy-national-wildlife-refuge, north-america, oceans, scientific-interpretation, sea-level-change, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3734e4b09fd3b0c9ce34, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Characteristics of landslide in Koshi River basin, Central Himalaya

This inventory was originally created by Zhang and others (2016) describing the landslides triggered by the M 7.8 Nepal earthquake that occurred on 25 April 2015 at 06:11:25 UTC. Care should be taken when comparing with other inventories because different authors use different mapping techniques. This inventory includes landslides triggered by a sequence of earthquakes rather than a single mainshock. Please check the author methods summary and the original data source for more information on these details and to confirm the viability of this inventory for your specific use.   With the exception of the data from USGS sources, the inventory data and associated metadata were not acquired by the U.S. Geological Survey (USGS) and thus have not been reviewed for accuracy and completeness by the USGS.  They are presented as part of this data series for convenience of the user only, as part of an effort to make published ground-failure inventories more accessible from a single aggregated site. No warranty, expressed or implied, is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.

Tags: asia, earthquake, earthquake-hazards-program, earthquakes, ehp, geographic-informtion-system, geologic-hazards-science-center, ghsc, gis, global, ground-failure, groundfailure, inventory, landslide, landslides, landslides-hazards-program, lhp, nepal, secondary, secondary-hazards, usgs, usgs-5874a764e4b0a829a320bb3a
Organization: Department of the Interior
Water chemistry; Washington, Oregon, and Northern California: Mariner et al., 1993

Water chemistry data from:
Mariner, R.H., Presser, T.S. and Evans, W.C., 1993. Geothermometry and water—rock interaction in selected thermal systems in the Cascade Range and Modoc Plateau, western United States. Geothermics, 22(1), pp.1-15, https://doi.org/10.1016/0375-6505(93)90017-H.
Water chemistry data was digitized for 25 samples. Reported attributes include:
Sample name, Type, Reported latitude, Reported longitude, State, Latitude, Longitude, Location resolution, Location error, Source, Temperature, pH, Boron (B), Calcium (Ca), Chloride (Cl), Fluoride (F), Bicarbonate (HCO3), Potassium (K), Lithium (Li), Magnesium (Mg), Sodium (Na), Silica (SiO2), Sulfate (SO4), Cations, Anions, Salinity, Charge balance, Isotopic composition of hydrogen (Delta 2H), Isotopic composition of oxygen in water (Delta 18O H2O), Oxygen shift, Isotopic composition of oxygen in sulfate (Delta 18O SO4), Tritium (3H), Author comment, Digitizer comment.
Data was digitized from Tables 1 and 2. The following tables were not digitized:
Table 2 (partial): estimated aquifer temperature.
Table 3: saturation states of 6 minerals for 10 representative springs.

Tags: california, cascade-range, geoscientificinformation, inlandwaters, modoc-plateau, oregon, springs-hydrographic, thermal-features, usgs-64dc1f36d34e5f6cd5524ba2, washington
Organization: Department of the Interior
Nearshore Electrical Resistivity Tomography (ERT) profile data, Makua, Kauai, USA, August 2016

Along-shore surface-based 2D electrical resistivity tomography (ERT) surveys were collected in the nearshore region of Makua, Kauai.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, coral-reefs, electrical-resistivity-tomography, ert-surveying, geoscientificinformation, island-of-kauai, kauai, kauai-county, makua-reef, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, resistivity, state-of-hawaii, thermocline, time-series-datasets, tunnels-beach, u-s-geological-survey, usgs, usgs-5c784936e4b0fe48cb4f6449, water-column-features
Organization: Department of the Interior
Exposure-related effects of Zequanox on juvenile lake sturgeon (Acipenser fulvescens) and lake trout (Salvelinus namaycush): Data

The environmental fate, persistence, and point-source discharge of traditional molluscicidal compounds led to the development of an alternative biomolluscicide, Zequanox. Previous studies evaluated the efficacy and non-target animal safety of Zequanox in laboratory, mesocosm, and field enclosure studies. One study indicated sensitivity of salmonid species and lake sturgeon (Acipenser fulvescens Rafinesque 1817) following exposure to Zequanox, however, the exposures were not conducted in a manner consistent with the product label. This laboratory study evaluated sublethal and lethal impacts of Zequanox on lake sturgeon and lake trout (Salvelinus namaycush Walbaum in Artedi, 1792) following exposures that were conducted consistent with a Zequanox open-water label application. Fish were exposed to 50 and 100 mg Zequanox active ingredient/L for 8 h and then held for an additional 33-d for post-exposure observation. No acute mortality was observed in either species, however, significant latent mortality (46.2%) was observed in lake trout that were exposed to 100 mg of Zequanox active ingredient/L for 8 h. At the termination of the 33d holding period, biologically minimal, yet statistically significant, differences were observed in the terminal weight of surviving lake sturgeon (range 20.17 to 21.49 g) and biologically, as well as, statistically significant differences were observed in the terminal weight of surviving lake trout (range 6.19 to 9.55 g). Histological evaluation of lake trout gastrointestinal tracts suggest that a different mode of action is responsible for the Zequanox exposure-related impacts to lake trout than the mode of action that induces zebra and quagga mussel mortality. Further research is required to determine if Zequanox sensitivity is limited to lake trout or if all salmonid species are vulnerable to exposure and to determine if native fish will avoid Zequanox exposure.

Tags: control, dreissenid, pf-cl145a, quagga-mussels, usgs-5b155b03e4b092d9651e1ab1, zebra-mussels
Organization: Department of the Interior
Study area map, from "Remote Sensing of Bush Honeysuckle in the Middle Blue River Basin, Kansas City Missouri, 2016-17"

Amur honeysuckle bush (Lonicera maackii) and Morrow's honeysuckle (Lonicera morrowii) are two of the most aggressively invasive species to become established throughout areas along the Blue River in metropolitan Kansas City, Missouri. These two large, spreading shrubs (locally referred to as bush honeysuckle in the Kansas City metropolitan area) colonize the understory, crowd out native plants, and may be allelopathic, producing a chemical that restricts growth of native species. Removal efforts have been underway for more than a decade by local conservation groups such as Bridging The Gap and Heartland Conservation Alliance, who are concerned with the loss of native species diversity associated with the spread of bush honeysuckle. Bush honeysuckle produces leaves early in the spring before almost all other vegetation and retains leaves late in the fall after almost all other species have lost their leaves. Appropriately timed imagery can be used during early spring and late fall to map the extent of bush honeysuckle. Using multispectral imagery collected in February 2016 and true color aerial imagery collected in March 2016, a coverage map of bush honeysuckle in the study area was made to investigate the extent of bush honeysuckle in a study area along the middle reach of the Blue River in the Kansas City metropolitan area in Jackson County, Missouri. The coverage map was further classified into unlikely, low-, and high-density bush honeysuckle density at a 30-foot cell size. The unlikely density class correctly predicted the absence and approximate density of bush honeysuckle for 86 percent of the field-verification points, the low-density class predicted the presence and approximate density with 73-percent confidence, and the high-density class was predicted with 67-percent confidence.
This data was used to support the project work described in: 
Ellis, J.T., 2018, Remote sensing of bush honeysuckle in the Middle Blue River Basin, Kansas City, Missouri, 2016–17: U.S. Geological Survey Scientific Investigations Map XXXX, 1 sheet., https://doi.org/xxxx.

Tags: blue-river, bush-honeysuckle, image-collections, invasive-species, kansas-city, missouri, remote-sensing, usgs-5b291168e4b0592076279980
Organization: Department of the Interior
Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2013 - September 2015

These datasets contain information used to compile the report (USGS OFR 2017-1068).  It contains water-quality data, analytical results of field blanks, and analytical results for environmental and replicate sample sets for surface-water samples collected during water years 2014 and 2015 for the Triangle Area Water Supply Monitoring Program (TAWSMP).  The water-quality data contained in appendix 1 are field parameters and the analytical results for the constituents analyzed for the project.  Appendix 2 contains the results of the field blanks, and the results for the environmental and replicate sample sets are presented in appendix 3.

Tags: biological-data, chatham-county, durham-county, major-ions-data, north-carolina, nutrient-data, orange-county, surface-water, total-organic-carbon-data, unfiltered-metals-data, usgs-58b59974e4b01ccd54fde1a4, wake-county, water-quality
Organization: Department of the Interior
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: Insecticide Use on Agricultural Land in Kilograms per square Kilometer, 2009

This data set represents the Insecticide use on agricultural land in kilograms per square kilometer, 2009 value compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network (i.e., watersheds). This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID.  The source data were produced by Baker, N.T., 2015. Units for the  Insecticide use on agricultural land in kilograms per square kilometer, 2009 are kilogram per square kilometer. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river networks characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016).

Tags: arkansas-white_red, california, catchment, conterminous-united-states, great-lakes, inlandwaters, insecticide-use-on-agricultural-land-in-kilograms-per-square-kilometer-2009, lower-mississippi, missouri, nawqa, new-england-and-mid-atlantic, nhdplus, ohio, pacific-northwest, rio-grande-colorado-and-great-basin, souris-red-rainy, south-atlantic-gulf-and-tennessee, tennessee, texas-gulf, upper-mississippi, usgs-57052c47e4b0d4e2b756ac39
Organization: Department of the Interior
Unprocessed aerial imagery from 26 October 2023 coastal survey of Central California.

This is a set of 2869 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-d35cd428-ef26-4909-b686-1fab506c9f2e, visible-light-imaging
Organization: Department of the Interior