AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 0108 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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 390 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. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-64dfbaf2d34e5f6cd553c047, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Potomac River ADCP Bathymetric Survey, October 4-7, 2021

Bathymetric LiDAR technology was used to collect riverbed elevation data along the Potomac River.  In support of this effort, a bathymetric survey with a boat-mounted acoustic Doppler current profiler (ADCP) was conducted in the study area during October 4-7, 2021.  The study area consisted of four verification reaches on the Potomac River including: 1) Williamsport accessed through the Williamsport Park boat ramp below Conococheague Creek and RTE 11 (Williamsport), 2) Big Slackwater above C&amp;O Canal Dam #4 accessed through the Big Slackwater Boat Ramp (Dam4), 3) Four Locks above C&amp;O Canal Dam #5 accessed through the Four Locks Boat Ramp (Dam5), and 4) Little Tonoloway Recreation Area accessed through the Hancock Boat Ramp below RTE 522. Global Navigational Satellite Systems (GNSS) were used to concurrently collect survey grade real-time kinematic (RTK) horizontal and vertical coordinates of the ADCP transducer face.  The riverbed elevations were collected using the ADCP with WinRiverII to export for post-processing in Microsoft Excel and RStudio.  The GNSS equipment was programmed to continuously collect an observation every 1 to 2 seconds and the ADCP was programmed to continuously collect an observation every 1 second to 2 seconds.  The corrected depths from the 4 ADCP beams were averaged and then subtracted from the GNSS derived elevation of the ADCP transducer face to compute the elevation of the riverbed.  All spatial data is referenced horizontally to the North American Datum of 1983 (2011) and vertically to the North American Vertical Datum of 1988 (NAVD88). Grid coordinates are projected in Universal Transverse Mercator Zone 18 North and are represented in meter units. This data release consists of four (4) comma-delimited (*.csv) files with fifteen columns each: GNSS_ID, Time_hh_mm_ss, GNSS_Northing_M, GNSS_Easting_M, Computed_Elevation_M, GNSS_Transducer_Elevation_M, Computed_Mean_Depth_M, GNSS_PDOP, GNSS_Vertical Precision_M, GNSS_Satellites, ADCP_Ensemble_ID, ADCP_Temp_C, ADCP_Pitch_Degrees, ADCP_Roll_Degrees, and Type.

Tags: acoustic-doppler-current-profiling, bathymetry, four-locks, geography, geospatial-datasets, gps-measurement, hancock, land-surveying, potomac-river, potomac-river-reservoir, state-of-maryland, state-of-west-virginia, usgs-6272b722d34e76103cd644ee, williamsport
Organization: Department of the Interior
Oregon Mule Deer Murderer's Creek Winter Ranges

The Murderer’s Creek mule deer herd winters south of U.S. Route 26 in river valleys near Canyon Creek, Murderer’s Creek, and the South Fork John Day River. The herd’s winter ranges are characterized by western juniper, big sagebrush, and Columbia Basin grassland communities, with medusahead and other non-native grasses invading lower elevations. In the spring, mule deer mainly migrate southeast to summer ranges distributed throughout Gilbert Ridge and the Aldrich Mountains, some traveling as far south as Devon Ridge and east to Ironside Mountain. Summer ranges in these areas contain mixed-conifer forests, ponderosa pine, and low sagebrush communities. A smaller portion of this herd migrates northeast in the spring, crossing U.S. Route 26 to summer in the foothills of Long Creek Mountain, the Blue Mountains, and Elkhorn Ridge, in areas containing big sagebrush along with Populus tremuloides (quaking aspen), ponderosa pine, and mixed-conifer forests. 
In areas of low-quality browse, Murderer’s Creek mule deer that migrate or reside south of U.S. Route 26 can compete with feral horses, particularly during drought years. The Murderer’s Creek Herd Management Unit (HMA) currently contains 329 feral horses (BLM 2023), significantly more than the maximum appropriate management level of 140 horses (USFS, 2009). In 2010, the Murderer’s Creek Wildlife Management Unit (WMU), which overlaps the Murderer’s Creek HMA, was included in the Mule Deer Initiative to improve conditions for mule deer, primarily through habitat restoration (ODFW, 2011). Since 2010, ODFW has treated 17,295 acres (6,999 ha) for western juniper removal and reseeded 10,016 acres (4,053 ha) for native shrubs and grasses, in addition to temporarily closing 128 mi2 (332 km2) of road within the Flagtail Travel Management Area during hunting season (ODFW, 2015, 2020). In 2015, the Canyon Creek Complex fire burned 110,261 acres (44,621 ha) across the Aldrich Mountains, reducing canopy closure and further improving habitat in summer ranges. The number of Murderer’s Creek mule deer is now stable with a 2021 estimate of 5,568 mule deer (ODFW, 2021).
These mapping layers show the location of the winter ranges for mule deer (Odocoileus hemionus) in the Murderer's Creek population in Oregon. They were developed from 185 migration sequences collected from a sample size of 116 animals comprising GPS locations collected every 5−13 hours.

Tags: animal-behavior, biota, john-day, migration-organisms, migratory-species, oregon, united-states, usgs-6584b56cd34eff134d42da10
Organization: Department of the Interior
Undivided Tertiary and Upper Cretaceous deposits in the Kaiparowits Plateau study area, southern Utah (kaibkwg)

This is a polygon coverage and shapefile that defines areas
that are underlain by the Osiris Tuff and Wasatch Fm.
(Tert.), Pine Hollow Fm. (Tert.?), Canaan Peak Fm. (Tert.?
and Cret.), and the Kaiparowits and Wahweap Fms. (Cret).
east of 112 degrees of longitude in the Kaiparowits Plateau,
southern Utah. The northern boundary is delineated by the
Paunsaugunt fault and volcanic rocks of Tertiary age.

Tags: coal, colorado-plateau, colorado-plateau-coal-assessment, colorado-plateau-coal-assessment-study-area, cplateaucoal, economy, environment, garfield-county, geoscientificinformation, kaiparowits-plateau, kaipcoal, kane-county, national-coal-resource-assessment, nca2000, ncra, outcrop-of-the-base-of-the-wahweap-formation, southern-utah, usgs-60ac0623d34ea221ce51fc39
Organization: Department of the Interior
Chirp seismic-reflection data of USGS field activity 2016-616-FA collected in the Catalina Basin offshore southern California in February 2016

This data release contains 41 chirp sub-bottom profiles that were collected in February of 2016 from the Catalina Basin offshore southern California by the U.S. Geological Survey Pacific and Coastal Marine Science Center in cooperation with the University of Washington. Data were collected aboard the University of Washington’s R/V Thomas G. Thompson on USGS cruise 2016-616-FA. Chirp profiles were collected to image the Catalina and San Clemente fault systems as well as the San Gabriel Canyon system.

Tags: avalon, bathymetry-and-elevation, catalina-basin, catalina-canyon, catalina-escarpment, chirp, city-of-encinitas, city-of-huntington-beach, city-of-long-beach, city-of-san-diego, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-margin, emery-knoll, geoscientificinformation, geospatial-datasets, gulf-of-santa-catalina, marine-geophysics, oceans, osborn-bank, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, san-clemente-island, san-nicolas-island, sant-barbara-island, santa-barbara-channel, santa-catalina-island, seismic-reflection-profiling, state-of-california, sub-bottom-profiling, two-harbors, u-s-geological-survey, usgs, usgs-5e42eb9ee4b0edb47be84547
Organization: Department of the Interior
Charcoal data from four sites in Great Dismal Swamp National Wildlife Refuge - August 2022

Charcoal counts and radiocarbon dates from four sediment cores collected in Great Dismal Swamp in 2017 and 2018 were incorporated into a synthesis of charcoal records from northern hemisphere peatlands (Sims et al., in review). Macroscopic charcoal was counted in three size classes: 125-250 micrometers, and 250-500 micrometers, and &gt;500 micrometers. Uncalibrated radiocarbon dates were obtained and provided for use in development of age models for analyses by Sims et al., in review).

Tags: biota, carbon-14-analysis, charcoal, fires, usgs-62e03bcdd34e952be90982d0
Organization: Department of the Interior
points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fire Island, NY, 2012

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, bayesian-network, cmgp, coastal-and-marine-geology-program, coastal-erosion, coastal-habitat, coastal-hazards, coastal-processes, environment, erosion, fire-island, fire-island-national-seashore, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, hazards, land-use-and-land-cover, long-island, mean-high-water, mhw, new-york, north-america, ny, probability, sea-level-change, sea-level-rise, shoreline-change, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc939e4b0941bde4fc61d, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Great Lakes Restoration Initiative's Terrestrial Habitats &amp; Connectivity Work Group's Pilot Area's Post-Fiscal Year 2023 Forest Habitat Connectivity

This dataset is the fourth installment of a yearly connectivity update for forested habitat within the Great Lakes Restoration Initiative's (GLRI) Terrestrial Habitats &amp; Connectivity (TH&amp;C) work group's Pilot Area. The Pilot Area is a region of the northern Great Lakes Basin between Ashland, WI and the Keweenaw Peninsula and is bounded by Lake Superior in the north and the basin boundary in the south, including a 70 km buffer. Each year the TH&amp;C selects project proposals for funding within the pilot area. These proposals involve either restoration, research, or land acquisition aimed at improving or increasing forest connectivity in this area. The intended purpose of each year’s update is to understand the effects of funded projects on the ground work and help inform the location and purpose of future project proposals. The post-fiscal year 2023 forest connectivity maps serve as an additional time step for comparison from each previous fiscal year into the future.  
To create the post FY23 installment of GLRI's Terrestrial Habitats &amp; Connectivity work group's pilot area yearly connectivity maps, we identified the geospatial locations where restoration work benefitting forested habitats was completed throughout FY23. These locations were then assigned the lowest resistance value. Then using the forest habitat resistance layer from Great Lakes Restoration Initiative's Terrestrial Habitats and Connectivity Work group's Pilot Area's post-fiscal year 2022 we overwrote the post FY22 resistance values with the resistance values assigned to the FY23 locations where work was done. This analysis produced two connectivity maps: a cumulative current map and a normalized current map. The cumulative current map shows where potential movement pathways between forests are located within the pilot area, while the normalized current map shows where obstructed movement, diffuse movement, and channelized movement occurs within the pilot area. These maps provide important information on how restoration efforts from FY21, FY22, and FY23 in the pilot area are affecting forest habitat connectivity.

Tags: biota, connectivity, dispersal-organisms, environment, forest-habitat, habitat-fragmentation, imagerybasemapsearthcover, structure, usgs-666b244ad34e9bcc607bec0f
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr216

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, rocky-mountains, time-series, tipper, usgs-5ada0ec2e4b0e2c2dd28d27b
Organization: Department of the Interior
Compilation of geologic slip rate constraints used in 1996—2014 U.S. National Seismic Hazard Maps

A key input for probabilistic seismic hazard analysis (PSHA) is geologic slip rate data. Yet, no single database exists to house all geologic slip rate data used in these calculations. Here, we compile all geologic slip rates that are reportedly used in U.S. National Seismic Hazard Map (NSHM) releases from 1996, 2002, 2007, 2008, and 2014. Although a new NSHM was released in 2018, no changes were made in geologic slip rate data used. The geologic slip rates are collated from existing NSHM reports and documentation, and no new data are reported herein. The geologic slip rates are coupled with the most up-to-date fault geometries utilized for NSHM calculations, and the data are presented spatially as a shapefile (SHP) and in keyhole markup language (KML). A readme file accompanies this dataset explaining details of the data compilation.

Tags: faults, geologic-slip-rates, national-seismic-hazard-map, usgs-5e852c8de4b01d50927d8420
Organization: Department of the Interior
Scripts and data to run and produce results from R-QWTREND models

This child page contains a zipped folder which contains all items necessary to run trend models and produce results published in U.S. Geological Scientific Investigations Report 2022–XXXX [Nustad, R.A., and Tatge, W.S., 2023, Comprehensive Water-Quality Trend Analysis for Selected Sites and Constituents in the International Souris River Basin, Saskatchewan and Manitoba, Canada and North Dakota, United States, 1970-2020: U.S. Geological Survey Scientific Investigations Report 2023-XXXX, XX p.]. To run the R-QWTREND program in R, 6 files are required and each is included in this child page: prepQWdataV4.txt, runQWmodelV4.txt, plotQWtrendV4.txt, qwtrend2018v4.exe, salflibc.dll, and StartQWTrendV4.R (Vecchia and Nustad, 2020). The folder contains: three items required to run the R–QWTREND trend analysis tool; a README.txt file; a folder called "dataout"; and a folder called "scripts". The "scripts" folder contains the scripts that can be used to reproduce the results found in the USGS Scientific Investigations Report referenced above. The "dataout" folder contains folders for each site that contain .RData files with the naming convention of site_flow for streamflow data and site_qw_XXX depending upon the group of constituents MI, NUT, or TM. R–QWTREND is a software package for analyzing trends in stream-water quality. The package is a collection of functions written in R (R Development Core Team, 2019), an open source language and a general environment for statistical computing and graphics. The following system requirements are necessary for using R–QWTREND: • Windows 10 operating system • R (version 3.4 or later; 64 bit recommended) • RStudio (version 1.1.456 or later). An accompanying report (Vecchia and Nustad, 2020) serves as the formal documentation for R–QWTREND. Vecchia, A.V., and Nustad, R.A., 2020, Time-series model, statistical methods, and software documentation for R–QWTREND—An R package for analyzing trends in stream-water quality: U.S. Geological Survey Open-File Report 2020–1014, 51 p., https://doi.org/10.3133/ofr20201014 R Development Core Team, 2019, R—A language and environment for statistical computing: Vienna, Austria, R Foundation for Statistical Computing, accessed December 7, 2020, at https://www.r-project.org.

Tags: geoscientificinformation, inlandwaters, manitoba, north-dakota, saskatchewan, souris-river, streamflow, trends, usgs-62c4cd21d34eeb1417bafa6e, water-quality
Organization: Department of the Interior
Winter climate change and coastal wetland foundation species in the southeastern United States

In this study, we investigated the potential effect of winter climate change upon salt marsh and mangrove forest foundation species in the southeastern United States. Our research addresses the following three questions: (1) What is the relationship between winter climate and the presence and abundance of mangrove forests relative to salt marshes; (2) How vulnerable are salt marshes to winter climate change-induced mangrove forest range expansion; and (3) What is the potential future distribution and relative abundance of mangrove forests under alternative winter climate change scenarios? We developed simple winter climate-based models to predict mangrove forest distribution and relative abundance using observed winter temperature data (1970–2000) and mangrove forest and salt marsh habitat data. Our results identify winter climate thresholds for salt marsh–mangrove forest interactions and highlight coastal areas in the southeastern United States (e.g., Texas, Louisiana, and parts of Florida) where relatively small changes in the intensity and frequency of extreme winter events could cause relatively dramatic landscape-scale ecosystem structural and functional change in the form of poleward mangrove forest migration and salt marsh displacement. The ecological implications of these marsh-to-mangrove forest conversions are poorly understood, but would likely include changes for associated fish and wildlife populations and for the supply of some ecosystem goods and services.

Tags: biogeography, effects-of-climate-change, land-use-and-land-cover, usgs-5b16da85e4b092d9651fcae4, vegetation, wetland-ecosystems
Organization: Department of the Interior
Wind rose plots for the volcano: 214080  Dar-Alages

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-58d00fdfe4b0236b68f5281d, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T5 from 1991

Orthorectified image from aerial photograph of wetland T5 in the Cottonwood Lake Study Area, Stutsman County, North Dakota. This image is part of a collection of photographs of the study area acquired during July and early August from 1975 to 2015.

Tags: aerial-photography, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtecosystemsgtaquatic-ecosystemsgtwetlands, earth-sciencegtbiospheregtecosystemsgtterrestrial-ecosystemsgtwetlands, environment, image-collections, imagerybasemapsearthcover, inlandwaters, north-dakota, northern-great-plains, platformgtaerial-photographs, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58791657e4b04df303d95c9f, wetland-ecosystems
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2016, 2018, and 2021 Site 4016 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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 390 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. This dataset consists of a matrix of six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-654150acd34ee4b6e05bcec6, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior