AndreaBozzo/ceres-open-data-index huggingface dataset:
Riparian climate refugia data in western and central USA for 2040-2069 and 2070-2099

We mapped potential climate change refugia for riparian areas in the central and western USA for 2040-2069 and 2070-2099. Riparian refugia are existing riparian areas that are projected to maintain riparian vegetation and associated ecological function under plausible future climates. Four input variables were included in the riparian refugia index: two landscape variables that represent where existing riparian areas may be more resilient to climatic changes (riparian connectedness and landscape diversity) and two climate variables that reflect projected exposure to climate change (runoff and warm days). For the climate variables, we considered two global circulation models: moderately hot and wet (CNRM-CM5) and hot and dry (IPSL-CM5A-MR) under RCP 8.5. The climate variables represented the projected change from a historical baseline (1971-2000) for two future 30-year time periods, mid-century (2040-2069) and late century (2070-2099). The four input variables of uniform pixel size were assigned equal weights and layered together using ArcGIS Pro's Suitability Modeler to create an index for riparian refugial quality. Here we provide raster layers for the riparian refugia index and three of the four input variables including riparian connectedness, runoff, and warm days. The fourth input variable, landscape diversity, was produced by The Nature Conservancy and is available online at The Nature Conservancy's Resilient and Connected Network. The four climate scenarios (CNRM-CM5 2040-2069, CNRM-CM5 2070-2099, IPSL-CM5A-MR 2040-2069, and IPSL-CM5A-MR 2070-209) are included as individual rasters for the riparian refugia index, runoff, and warm days, and are zipped into each base folder. We also provide a geodatabase that contains all the data (riparian refugia index, riparian connectedness, runoff, and warm days).

Tags: air-temperature, biota, climate-change, climate-refugia, climatologymeteorologyatmosphere, colorado, ecosystem-resilience, geospatial-datasets, idaho, kansas, montana, nebraska, north-dakota, riparian-areas, runoff, south-dakota, usgs-646cdaffd34ee02593fb4ebe, wyoming
Organization: Department of the Interior
Conservation Planning for the Colorado River in Utah - Riparian Overstory Model Output Data for Colorado River in Utah

This is a habitat suitability model for riparian overstory species in the Colorado River bottomland in Utah. The model incorporates the prevalence of trees, complexity of woody structure, quality of canopy, and tree patch size. See accompanying publication for data processing details.

Tags: arches-national-park, biota, canyonlands-national-park, colorado-river, conservation-planning, environment, grand-county, habitat-suitability, inlandwaters, moab, riparian, san-juan-county, tamarisk, upper-colorado-river, usgs-5866e98fe4b0cd2dabe7c6a1, utah
Organization: Department of the Interior
Post-Hurricane Joaquin coastal oblique Aerial Photographs Collected from the South Carolina/North Carolina Border to Montauk Point, New York, October 7-9, 2015

The U.S. Geological Survey (USGS) conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms. On October 7-9, 2015, the USGS conducted an oblique aerial photographic survey from South Carolina/North Carolina border to Montauk Point, New York, aboard a Cessna 182 aircraft at an altitude of 500 feet (ft) and approximately 1,200 ft offshore (Figure 2, http://pubs.usgs.gov/ds/0995/html/ds995_fig2.html). This mission was flown to collect data for assessing incremental changes since the last survey, flown in October 2014 (Virginia to New York, http://cmgds.marine.usgs.gov/fan_info.php?fan=2014-330-FA), November 2012 (northern North Carolina, http://cmgds.marine.usgs.gov/fan_info.php?fan=12CCH04) and May 2008 (southern North Carolina, http://cmgds.marine.usgs.gov/fan_info.php?fan=08ACH01), and can be used for assessing future coastal change. The photographs provided are Joint Photographic Experts Group (JPEG) images. The photograph locations are an estimate of the position of the aircraft and do not indicate the location of the feature in the images (See the Navigation Data page, http://pubs.usgs.gov/ds/0995/html/ds995_nav.html). These photographs document the configuration of the barrier islands and other coastal features at the time of the survey. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet. All image times are recorded in Coordinated Universal Time (UTC). Table 1 (http://pubs.usgs.gov/ds/0995/html/ds995_table.html) provides detailed information about the assigned location, name, date, and time the photograph was taken along with links to the photograph. In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML files were created using the photographic navigation files. Note: A KML number was assigned to each photograph to aid navigation of the Google Earth file. These numbers correspond to the site labels in Google Earth.

Tags: assateague-island, beach-erosion, cape-fear, cape-hatteras, cape-lookout, coastal-aerial-photography, coastline, delaware, environment, fire-island, imagerybasemapsearthcover, maryland, montauk, national-assessment-of-coastal-change-hazards, new-jersey, new-york, noreaster, north-carolina, photographs, post-hurricane-joaquin, structure, u-s-geological-survey, usgs-a6ffeb05-8cc0-42b7-9d0c-704b247a214c, virginia
Organization: Department of the Interior
Pre-processed Sentinel-1 SAR of the Madeira River, Brazil

This dataset provides seven Sentinel-1 Synthetic Aperture Radar (SAR) scenes covering a portion of the Madeira River in Brazil from Porto Velho to Abuna. Each scene has been pre-processed for the use of detecting artisanal and small-scale mining (ASM) riverine dredges. The scenes were collected from the ASF search vertex (https://search.asf.alaska.edu/#/) as L1 Detected High-Res Dual-Pol (GRD-HD) products. They were acquired using a C-band SAR with the Interferometric Wide Swath (IW) mode, VV and VH polarizations, and a temporal resolution of 6 days. Each SAR acquisition covers a 250 km swath; however, these have been clipped to the study area. They have a 20 m x 22 m (ground range x azimuth) resolution, a 10 m x 10 m pixel spacing, and an Equivalent Number of Looks (ENL) of 4.4. The data is collected in ascending and descending passes; although, only descending passes were available in the study area. Four of the dates (20190604, 20190616, 20190628, and 20190710) required two scenes to be mosaicked together after pre-processing in order to cover the study area. The SAR data is pre-processed using the Sentinel Applications Platform (SNAP) software by following the steps: apply orbit file, thermal noise removal, border noise removal, calibration, and range doppler terrain correction. The commonly applied speckle filtering step is not applied as it reduces small spatial structures in the data, impacting the potential detection of the potentially small features produced by backscatter from ASM riverine dredges. Each scene contains the VH polarization in band 1 and the VV polarization in band 2, and should be displayed using the stretch type: standard deviation.

Tags: gold, mining-and-mineral-extraction, placer-deposit-mining, radar-imaging, remote-sensing, sar, usgs-655388a5d34ee4b6e05c3d89
Organization: Department of the Interior
Conservation Planning for the Colorado River in Utah - Stillness of Adjacent Water for Bat Feeding Model

This map shows habitats within 50 m of the channel boundary (2011) of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles).  The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage.  The channel is subdivided into channel types: main channel, secondary channel, backwater, isolated pool and tributary channel.

Tags: arches-national-park, biota, canyonlands-national-park, colorado-river, conservation-planning, environment, grand-county, habitat-suitability, inlandwaters, moab, riparian, san-juan-county, tamarisk, upper-colorado-river, usgs-583f126be4b04fc80e3aa137, utah
Organization: Department of the Interior
UMRS Floodplain Inundation Model - Pool 19

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-661eae02d34e7eb9eb7e3db1
Organization: Department of the Interior
Wind rose plots for the volcano: 284132  Nikko

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-58d013b9e4b0236b68f52d45, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Alpine Vegetation Trends in Glacier National Park, Montana 2003-2018

This dataset is focused on alpine plant species presence/absence, species turnover, and trends in species abundance on four mountain summits in Glacier National Park, Montana, USA from 2003 through 2014. Two summit sites were established in 2003 on Dancing Lady and Bison Mountain, east of the continental divide. Two additional summit sites were established in 2004 on Pitamakin and Mt. Seward, also east of the continental divide. This multi-summit approach to monitoring alpine plant species follows the protocols of the Global Observation Research Initiative in Alpine Environments (GLORIA) that were initiated by the University of Vienna in 2000 and which have been refined and revised since then. GLORIA summit sites now exist throughout the world. Current protocols are available at: https://gloria.ac.at/downloads/manual.  Plant surveys took place every five years during peak alpine plant growing season in late July and August on all aspects of the summits using a combination of area surveys and meter plots. Temperature loggers were buried on each aspect and replaced every 3-5 years.  To better track interannual variability, another band of plots was established below the summit plots in 2010 for Dancing Lady and 2011 to Pitamakin.  These were surveyed every year until 2014. A total of 189 species were recorded for the four summit sites. Preliminary results indicated species turnover rates of 0-36% at the five year intervals, and 6-55% at the ten year interval.  Annual turnover rates for the lower bands on Dancing Lady and Pitamakin were 2-18%.  The NE aspects were most species rich and S aspects had the greatest turnover rates.  Little difference was evident as a function of elevation.  Additional surveys are planned for the summer of 2019.

Tags: alpine, biota, botany, ecology, glacier, glacier-national-park, gloria, montana, usgs-5d013a62e4b05cc71cad260f, vegetation
Organization: Department of the Interior
Land surface carbon and nitrogen data from the spring sampling trip of 2014 around Chincoteague Bay

Following Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, d13C, and d15N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study. The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change. This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. Additional files include formal Federal Geographic Data Committee metadata (data downloads).

Tags: april-2014, assateague-island, barrier-island, carbon, chincoteague-bay, environment, geoscientific-information, march-2014, marsh, maryland, nitrogen, sediment, st-petersburg-coastal-and-marine-science-center, stable-isotopes, surface, toms-cove, u-s-geological-survey, usgs, usgs-6149a2eb-fe88-4ded-8a91-52f5c37adb79, virginia
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: Rhode Island National Wildlife Refuge, RI, 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, bayesian-network, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, coastal-habitat, coastal-hazards, coastal-processes, environment, erosion, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, hazards, land-use-and-land-cover, mean-high-water, mhw, north-america, probability, rhode-island, rhode-island-national-wildlife-refuge-complex, ri, sea-level-change, sea-level-rise, shoreline-change, st-petersburg-coastal-and-marine-science-center, transect-sampling, trustom-pond, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3777e4b09fd3b0c9ce7c, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
National Land Cover Database (NLCD) 2021 Land Cover Products

The U.S. Geological Survey (USGS), in partnership with several federal agencies, has now developed and released seven National Land Cover Database (NLCD) products: NLCD 1992, 2001, 2006, 2011, 2016, 2019, and 2021. Beginning with the 2016 release, land cover products were created for two-to-three-year intervals between 2001 and the most recent year. These products provide spatially explicit and reliable information on the Nation’s land cover and land cover change. NLCD continues to provide innovative, consistent, and robust methodologies for production of a multi-temporal land cover and land cover change database. NLCD 2021 adds an additional year to the map products produced for NLCD 2019, with a streamlined compositing process for assembling and preprocessing Landsat imagery and geospatial ancillary datasets; a temporally, spectrally, and spatially integrated land cover change analysis strategy; a theme-based post-classification protocol for generating land cover and change products; a continuous fields biophysical parameters modeling method; and a scripted operational system. The overall accuracy of the 2019 Level I land cover was 91%. Results from this study confirm the robustness of this comprehensive and highly automated procedure for NLCD 2021 operational mapping (see https://doi.org/10.1080/15481603.2023.2181143 for the latest accuracy assessment publication). Questions about the NLCD 2021 land cover product can be directed to the NLCD 2021 land cover mapping team at USGS EROS, Sioux Falls, SD (605) 594-6151 or mrlc@usgs.gov. See included spatial metadata for more details.

Tags: biota, digital-spatial-data, gis, image-processing, imagerybasemapsearthcover, land-cover, land-use-land-cover-theme, national-geospatial-data-asset, ngda, u-s, u-s-geological-survey-usgs, united-states, us, usgs-649595d8d34ef77fcb01dca1
Organization: Department of the Interior
Elevation Control Points to reinterpret the base of aquifer contours after airborne electromagnetic (AEM) surveys of the principal aquifer for portions of the North Platte, South Platte, and Twin Platte Natural Resources Districts, western Nebraska

The U.S. Geological Survey and its partners have collaborated to complete airborne geophysical 
surveys for areas of the North and South Platte River valleys and Lodgepole Creek in western 
Nebraska. The objective of the surveys was to map the aquifers and bedrock topography of 
selected areas to help improve the understanding of groundwater-surface-water relationships 
to be used in water management decisions. Frequency-domain (2008 and 2009) and time-domain 
(2010) helicopter electromagnetic surveys were completed, using a unique survey flight line design,
 to collect resistivity data that can be related to lithologic information for refinement of groundwater 
model inputs.  To make the geophysical data useful to multidimensional groundwater models, 
numerical inversion is necessary to convert the measured data into a depth-dependent subsurface 
resistivity model.  This inversion model, in conjunction with sensitivity analysis, geological ground 
truth (boreholes), and geological interpretation, is used to characterize hydrogeologic features.  
The two- and three- dimensional interpretation provides the groundwater modeler with a high-
resolution hydrogeologic framework and a quantitative estimate of framework uncertainty.  This 
method of creating hydrogeologic frameworks improved the understanding of the actual flow path 
orientation by redefining the location of the paleochannels and associated bedrock highs. The 
improved models represent the hydrogeology at a level of accuracy not achievable using previous 
data sets.

Tags: environment, geoscientificinformation, imagerybasemapsearthcover, inlandwaters, nebraska, ogallala, scottsbluff, sidney, usgs-871ff919-bae0-456a-ac5d-71960747d36d
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Barnegat Bay and adjacent to the Tuckerton tide gage from Beach Haven to Little Egg Harbor Township, NJ

Digital flood-inundation maps for coastal communities within Ocean County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: digital-maps, flood-inundation-maps, floods, new-jersey-coastal, ocean-county, oceans, tide-gages, usgs-62432f62d34e22d73748d143
Organization: Department of the Interior
Wind rose plots for the volcano: 311050  Little Sitkin

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-58d01534e4b0236b68f52f1f, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior