AndreaBozzo/ceres-open-data-index huggingface dataset:
2016 hazard curve data for annual rate of exceedance versus peak horizontal acceleration or horizontal spectral response acceleration for 0.2- or 1.0-second periods, for the full seismicity catalog and a b-value of 1.5

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
These data sets represent the hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the annual rate of exceedance versus peak horizontal acceleration or horizontal spectral response acceleration for 0.2- or 1.0-second periods.  These hazard curves are based on the full seismicity catalog and a b-value 0f 1.5.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, idaho, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5aaeb447e4b081f61ab0d34a, utah, vermont, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Post-release point locations and survival history of fishers translocated from British Columbia to Olympic National Park, Washington, 2008-2010

The data set includes point location data and survival status of 90 fishers that were translocated from central British Columbia, Canada, to Olympic National Park, Washington, 2008-2010.

Tags: biota, environment, fisher, olympic-national-park, olympic-national-park-wa, pekania-pennanti, population-restoration, post-release-movements, survival, translocation, usgs-61d39429d34ed79293fe6e95, washington, wildlife-biology
Organization: Department of the Interior
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2005

The Monitoring Trends in Burn Severity (MTBS) Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2005. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, mtbs, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-5e921c0682ce172707f02d25, wildfire, wildland-fire
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site 0399 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 398 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2018 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d2b8ad34e40dd9c012990, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Low-streamflow trends and basin characteristics for 2,482 U.S. Geological Survey streamgages in the conterminous U.S. (ver. 2.0, February 2019)

This data release contains drainage basin characteristics and low-streamflow trend results for 2,482 U.S. Geological Survey (USGS) streamgages in the conterminous U.S. Data include streamgage identification number, name, drainage area, latitude, longitude, percent developed land use, percent crop land use, dam storage, streamgage classification, record completeness status, and trend slopes and significance for several low-streamflow and related metrics. Also included is an R script containing the Mann-Kendall trend test for three different null hypotheses of the serial structure of the time-series data: independence, short-term persistence, and long-term persistence. Revised February 2019 (ver. 2.0)

Tags: land-use-and-land-cover, streamflow, time-series-analysis, usgs-5b183c42e4b092d965219d81
Organization: Department of the Interior
Data release for geochronology and geochemistry of volcanic rocks in the Southern Rocky Mountains and Taos Plateau volcanic fields and other Oligocene to Pleistocene volcanic rocks within the southern San Luis Basin and San Juan Mountains, southern Colorado and northern New Mexico

The dataset includes whole-rock geochemistry and 40Ar-39Ar
geochronology for Pleistocene to Oligocene volcanic and
intrusive rocks. These data support figures and tables in
days 2 and 3 of the Field-trip guide to continental arc to 
rift volcanism of the southern Rocky Mountains-Southern 
Rocky Mountain, Taos Plateau, and Jemez Mountains volcanic 
fields of southern Colorado and northern New Mexico 
(Thompson and others, 2022). Additional 40Ar-39Ar 
geochronology data are included for age reported in the 
Geologic map of Ute Mountain quadrangle (Thompson and 
others, 2014b) and the Geologic map of Sunshine quadrangle 
(Thompson and others, 2014a). Other samples not associated 
with any of these referenced publications are also included.
&gt;
There may be slight variation in the ages reported here and 
other previously reported ages on the geologic maps for the
Sunshine and Ute Mountain quadrangles (Thompson and others 
2014a,b) and some ages originally reported on the Geologic 
map of the San Antonio Mountain area (Turner and others, 
2017) due to statistical methods used in calculating the 
age.

Tags: antonito, basalt, cenozoic-era, chiquito-peak-tuff, colorado, conejos-formation, continental-rift, geochemistry, geochronology, hinsdale-formation, miocene, new-mexico, oligocene, pleistocene, pliocene, san-luis-hills, san-luis-valley, servilleta-basalt, taos, taos-plateau, usgs-629ec7ffd34ec53d276f7caa, volcanism
Organization: Department of the Interior
National Land Cover Database (NLCD) Land Cover Products

The USGS Land Cover program has combined the tried-and-true methodologies from premier land cover projects, National Land Cover Database (NLCD) and Land Change Monitoring, Assessment, and Projection (LCMAP), together with modern innovations in geospatial deep learning technologies to create the next generation of land cover and land change information. The product suite is called, “Annual NLCD Land Cover Products” and includes four annual products that represent land cover and surface change characteristics of the U.S.:
  1) Land Cover,
  2) Land Cover Change,
  3) Land Cover Confidence, and
  4) Spectral Change Day of Year.
These Land Cover science product algorithms harness the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize, and understand the complexities of land use, cover, and condition change. 
The Land Cover products are available at https://www.mrlc.gov/data. Legend and Description information is maintained at https://www.mrlc.gov/data/legends/national-land-cover-database-class-legend-and-description. 

Tags: ak, alaska, boundaries, digital-spatial-data, gis, hawaii, hi, image-processing, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, ngda-117, ngdaid117, pr, puerto-rico, u-s, u-s-geological-survey-usgs, united-states, us, usgs-647626cbd34e4e58932d9d4e
Organization: Department of the Interior
Geology and geomorphology--Hueneme Canyon and Vicinity, California

This part of DS 781 presents data for the geologic and geomorphic map of the Hueneme Canyon and Vicinity map area, California. The vector data file is included in "Geology_HuenemeCanyon.zip," which is accessible from http://pubs.usgs.gov/ds/781/HuenemeCanyon/data_catalog_HuenemeCanyon.html. These data accompany the pamphlet and map sheets of Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Greene, H.G., Krigsman, L.M., Endris, C.A., Clahan, K.B., Sliter, R.W., Wong, F.L., Yoklavich, M.M., and Normark, W.R. (S.Y. Johnson, ed.), 2012, California State Waters Map Series—-Hueneme Canyon and Vicinity, California: U.S. Geological Survey Scientific Investigations Map 3225, 41 p., 12 sheets, scale 1:24,000, https://pubs.usgs.gov/sim/3225/.
Marine geology and geomorphology was mapped in the Hueneme Canyon and Vicinity map area, California, from approximate Mean High Water (MHW) to the 3-nautical-mile limit of California's State Waters, and even farther offshore on the east and west flanks of Hueneme Canyon. Offshore geologic units were delineated on the basis of integrated analyses of adjacent onshore geology with multibeam bathymetry and backscatter imagery, seafloor-sediment and rock samples, digital camera and video imagery, and high-resolution seismic-reflection profiles.

Tags: bathymetry, continental-island-shelf, distributions, environment, geologic-mapping, geologic-maps, geoscientificinformation, geospatial-datasets, hueneme-canyon, imagerybasemapsearthcover, maps-and-atlases, marine-geology, marine-nearshore-subtidal, marine-offshore-subtidal, oceans, oxnard, pacific-ocean, physical-habitats-and-geomorphology, port-of-hueneme, rock-substrate, sea-floor-characteristics, seabed, seafloor-topography, southern-california-ecoregion, state-of-california, transform-continental-margin, unconsolidated-mineral-substrate, usgs-b8a74afd-10fc-44f6-8a1c-7747bc9b1e24, ventura
Organization: Department of the Interior
Wind rose plots for the volcano: 263040  Perbakti-Gagak

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01230e4b0236b68f52b2c, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Child 2: Nutrient and streamflow trend results

This data set includes WRTDS nutrient flux trend results and the values of daily streamflow trend results displayed in the Quantile-Kendall plots.  For 1995-2015 nutrient trends, the method of generalized flow normalization (FNG) was used which explicitly addresses non-stationary streamflow conditions.  For 2005-2015 nutrient trends, the WRTDS trend analyses used the method of stationary flow normalization (FNS) because streamflow nonstationarity is difficult to assess over this shorter duration time frame. The 1995-2015 annual nutrient trends were determined for all five nutrient parameters (TP, SRP, TN, NO23, TKN), and monthly trends were evaluated only for SRP.  The 2005-2015 annual nutrient trends were determined for the three parameters TP, SRP, and TN.  For the water-quality parameter SRP, monitoring data and trend results were available for 6 of the 10 trend sites.  Daily streamflow trends were evaluated for the time-period 1987-2016 at 9 of the study sites, applied as climatic years (years which start April 1 and end March 31) for a period of 29 climatic years (1988 – 2016).  Details on the WRTDS method of generalized flow normalization appear in Hirsch and De Cicco (2018) and in Choquette et al. (2019).  Details on the Quantile-Kendall plots and their construction appears in Hirsch (2018) and in Appendix A of Choquette et al. (2019).   Details regarding interpretations of these trend results and the watershed characteristics upstream of these sites appear in Choquette et al. (2019).  
The results dataset is presented in 5 parts:
1.	AnnualNutrientTrends_1995-2015.csv (WRTDS nutrient flux trend results)
2.	MonthlySRPTrends_1995-2015.csv (SRP monthly flux trend results for 6 sites)
3.	AnnualNutrientTrends_2005-2015.csv (WRTDS nutrient flux trend results)
4.	DailyFlowTrends_1987-2016.zip (Annual streamflow trend results, by site, presented in the Quantile-Kendall plots)
5.	Quantile-Kendall-plots.pdf (plots showing 1988-2016 streamflow trend results)
References: 
Choquette, A.F., Hirsch, R.M., Murphy, J.C., Johnson, L.T., and Confesor, R.B. Jr., 2019, Tracking changes in nutrient delivery to western Lake Erie: approaches to compensate for variability and trends in streamflow: J. of Great Lakes Research, v. 45, no. 1, p. 21-39, https://doi.org/10.1016/j.jglr.2018.11.012.
Hirsch, R.M., 2018, Daily streamflow trend analysis: U.S. Geological Survey Office of Water Information Blog, 38 p., at: https://owi.usgs.gov/blog/Quantile-Kendall/.
Hirsch, R.M., and De Cicco, L.A., 2018, EGRET release 3.0, and EGRETci release 2.0, at: https://cran.r-project.org/

Tags: environment, geoscientificinformation, great-lakes, indiana, lake-erie, michigan, nitrate, nitrogen, nutrient, ohio, phosphorus, streamflow, trend, usgs-5bd2057ae4b0b3fc5ce31cb1, water-quality, weighted-regression-on-time-discharge-and-season-wrtds, western-lake-erie
Organization: Department of the Interior
DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Smith Island, VA, 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, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-hazards, delmarva-peninsula, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, smith-island, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37fce4b09fd3b0c9cf10, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Estimated public-supply water withdrawals in Puerto Rico, 2017

This data release consists of Microsoft Excel workbooks related to a cooperative project between the U.S. Geological Survey (USGS) and the Puerto Rico Aqueduct and Sewer Authority (PRASA) to estimate public-supply water withdrawals for the year 2017. 
Daily raw-water inflow volume to each PRASA water-treatment plant and water pumped from PRASA public-supply wells on the island in 2017, as well as coordinate information for these facilities were provided by PRASA. The raw data are not publicly available owing to restrictions (sensitivity concern). Contact PRASA directly for more information. Per capita water use derived from domestic-delivery data for 2016 was used to estimate withdrawals from non-PRASA community water supply systems for 2017 due to The lack of of domestic-delivery data for this year. This choice does not likely introduce major errors in the total island-wide water withdrawals as non-PRASA withdrawals are on the order of 1–2 percent of the total withdrawals. The total annual volume withdrawn from PRASA and non-PRASA public-supply wells and surface-water intakes was aggregated by municipality and PRASA public water system identification (PWSID) to obtain total surface-water and groundwater withdrawals for PRASA and non-PRASA systems.
In 2017, the total amount of public-supply water withdrawn in Puerto Rico was estimated at 545 million gallons per day (Mgal/d) from freshwater sources. Surface-water withdrawals accounted for 488 Mgal/d (90 percent) and groundwater withdrawals accounted for 57 Mgal/d (10 percent).
Disclaimer: In estimating public-supply withdrawals for 2016 and prior years, surface-water withdrawals for each PRASA water treatment plant (WTP) were assigned to a single intake location. For 2017-20, surface-water withdrawals for each PRASA water treatment plant have been split up across multiple intakes based on information provided by PRASA in 2022. This may have affected the total withdrawals by municipality and PWSID. For this reason, we discourage evaluating trends and making comparisons at the municipality and PWSID level between 2017–20 and previous years.

Tags: domestic-water-use, environment, inlandwaters, public-supply, usgs-6408cf77d34e76f5f75e4a3c, water-use, water-withdrawals, withdrawals
Organization: Department of the Interior
Foothill yellow-legged frog (Rana boylii) 2022 site and survey data in and near the footprint of the 2021 Dixie Fire, northeastern California, USA

These data were collected to assess the occurrence of foothill yellow-legged frogs (Rana boylii) in 2022, one year after the 2021 Dixie Fire in northeastern California, USA. The data included herein are those required to replicate the occupancy analysis presented in the manuscript, cited in the larger work. Additional site data are included in the manuscript itself.

Tags: amphibians, anuran, biota, butte, california, fires, freshwater-ecosystems, inlandwaters, lassen, occupancy, plumas, shasta, stream, tehama, usgs-6720161bd34ed0f827eaa427, wildlife
Organization: Department of the Interior
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 2 Water temperature observations

Observed water temperatures from 1980-2018 were compiled for 877 lakes in Minnesota (USA). There were four lakes included in this data release that did not have temperature observations available at the time of compilation or these data existed elsewhere and were unknown to the compilation team. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project (NSF DEB-1440297), and digitized temperature records from the MN Department of Natural Resources. This dataset is part of a larger data release of lake temperature model inputs and outputs for 881 lakes in the U.S. state of Minnesota (https://doi.org/10.5066/P9PPHJE2).

Tags: climate-change, deep-learning, environment, hybrid-modeling, inlandwaters, machine-learning, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5e5d0b68e4b01d50924f2b32, water, water-resources
Organization: Department of the Interior