AndreaBozzo/ceres-open-data-index huggingface dataset:
Map data showing concentration of landslides caused by Hurricane Maria in Puerto Rico

On September 20, 2017, Hurricane Maria hit the U.S. territory of Puerto Rico as a category 4 storm. Heavy rainfall caused landslides in mountainous regions throughout the territory. This data release presents geospatial data describing the concentration of landslides generated by Hurricane Maria in Puerto Rico. We used post-hurricane satellite and aerial imagery collected between September 26, 2017 and October 8, 2017 to visually estimate the number of landslides over nearly the whole territory. This was done by dividing the territory into a grid with 4 km2 cells (2 km x 2 km).  Each 4 km2 grid cell was classified as either containing no landslides, fewer than 25 landslides/km2 or more than 25 landslides/km2. We used 12 WorldView satellite images (~0.5 m-resolution) available from Digital Globe, Inc. and ~0.15 m-resolution aerial imagery collected by Sanborn and QuantumSpatial (http://www.arcgis.com/home/item.html?id=b1949283c1084b0daf2987d896392ac2). Because leaves were stripped from much of the vegetation, landslide scars were readily visible in both sources of imagery. We assume that the majority of landslides were triggered by rainfall from Hurricane Maria, but rainfall from Hurricane Irma during the first week of September and rainfall from thunderstorms after Hurricane Maria may have also initiated landslides.  
During this investigation, we visually examined a total area of 8103 km2, which encompassed most of the territory and nearly all the mountainous areas. Approximately 846 km2 of the land area of the territory was not examined because either 1) imagery was unavailable or 2) the area was obscured by cloud cover. Approximately 61% of the examined area was unaffected by landslides. Landslides were observed in the remaining 39% of the examined area, but, for the most part , the landslide density was less than 25 landslides/km2 (37% of the examined area). Landslide density was greater than 25 landslides/km2 in about 2% of the examined area (156 km2), which includes parts of the Añasco, Mayagüez, Las Marías, Maricao, Lares, Utuado, Adjuntas, and Jayuya municipalities. Based on visual examination of imagery, the municipality of Utuado appears to have been the most severely impacted, with about 40% of the municipality having a density of landslides greater than 25 landslides/km2. This preliminary assessment serves to inform response and recovery efforts and as a basis for more detailed studies on the impacts of landslides in Puerto Rico caused by Hurricane Maria.

Tags: data-release, landslides, maps-and-atlases, usgs-59de6459e4b05fe04ccd39d8
Organization: Department of the Interior
Digitized Legacy Maps of Surficial Geology and Morphology of the Central Arctic Coastal Plain, Alaska

This dataset represents a digitized version of the Rawlinson 1993 surficial geologic map of the Flaxman Island and Beechy Point quadrangles, and portions of the Mount Michelson and Harrison Bay quadrangles at 1:63,360 scale. In this newly digitized version of the map, the original maps were scanned, georeferenced, and projected into GIS. Approximately 100-200 typographic and labelling errors from the paper version were corrected with inputs from the original author (corrections completed in 2024). However, this digitized product still adheres to the 1993 interpretation of the surficial geology. Original descriptions of the map units can be found with the 1993 publication (https://doi.org/10.14509/2484). The original 1993 map was generated via photointerpretation done manually on acetate sheets overlain on color infrared aerial photographs, aided by a stereoscope, and then manually transferred to a map base using a zoom-transfer scope. Only low-resolution 1:250,000-scale black-and-white Landsat imagery was available for reference in the 1980s when the mapping was completed. After photointerpretation, the surficial geology units and morphology information was field spot-checked, with extensive fieldwork occurring between 1981 and 1985. As part of the fieldwork, locations with exposure along coasts, rivers, and gravel pits were prioritized, with 464 stratigraphic sections measured and described, and 678 samples collected for analyses that included grain size, radiocarbon and thermoluminescence dating, amino acid analysis in mollusk shells and wood, identification of wood types, and microfossil and pollen contents. An important note of caution to users is that this digitized product represents the 1993 interpretation of surficial geology. Modifications to the 1993 product address typographic errors and do not consider re-interpretations of the surficial geological units since then, and more recent information about the regional surficial geology is available.

Tags: alaska, alluvial-deposits, arctic, arctic-coastal-plains, beechy-point, canning-river, colville-river, flaxman-island, geomorphology, geoscientificinformation, harrison-bay, holocene, hulahula-river, imagerybasemapsearthcover, kuparuk-river, mt-michelson, quaternary, sagavanirktok-river, surficial-geology, usgs-66fb1398d34e6d68f514c890
Organization: Department of the Interior
St. Croix River and Upper Mississippi River Spectaclecase mussel environmental DNAs: Data

Spectaclecase (Margaritifera monodonta) is a federally endangered freshwater mussel species that has experienced a 55% reduction in range (USFWS 2014) and is currently concentrated in three rivers in the Midwest of the United States (Gasconade, Meramec Rivers, MO, and St. Croix River, WI). Its preference for living under large rocks and boulders has limited detection of new populations by traditional survey methods. Environmental DNA technology has been used to detect invasive and rare species, but its use for detection of rare, benthic-dwelling species in large flowing systems has been limited. Here, we propose using environmental DNA to identify presumable sites for discovery of M. monodonta. We designed a M. monodonta-specific qPCR assay and tested it using M. monodonta-housed tank water and water samples from two known mussel beds on the St. Croix River and three known mussel beds on the Mississippi River. We observed higher overall detection rate on the St. Croix River (30.2%) compared to the Upper Mississippi River (0.60%). We also observed higher eDNA detection rates (73.3-93.1%) in 2018 for samples collected during the larval release period in May compared to samples collected in August after reproduction stopped (55.6-70.8%) on the St. Croix River. We tested samples collected at three distances downstream of the two mussel beds found in the St. Croix River, but we did not observe a significant effect of distance on our detection rates. However, we did observe greater detection rates for samples collected near the bottom compared to at the surface. Our results indicate that this novel qPCR assay can successfully detect M. monodonta eDNA and could be utilized to rapidly screen locations to guide intensive physical searches for populations in riverine systems.

Tags: biota, edna, illinois, margaritifera-monodonta, minnesota, qpcr, st-croix-river, upper-midwest-environmental-sciences-center-la-crosse-wi, usgs-5f7cd06b82ce1d74e7db55d6, wisconsin
Organization: Department of the Interior
Potential climate change impacts on Greater sage grouse connectivity in the U.S. Northern Rockies

Establishing connections among natural landscapes is the most frequently recommended strategy for adapting management of natural resources in response to climate change. The U.S. Northern Rockies still support a full suite of native wildlife, and survival of these populations depends on connected landscapes. Connected landscapes support current migration and dispersal as well as future shifts in species ranges that will be necessary for species to adapt to our changing climate. Working in partnership with state and federal resource managers and private land trusts, we sought to: 1) understand how future climate change may alter habitat composition of landscapes expected to serve as important connections for wildlife, 2) estimate how wildlife species of concern are expected to respond to these changes, 3) develop climate-smart strategies to help stakeholders manage public and private lands in ways that allow wildlife to continue to move in response to changing conditions, and 4) explore how well existing management plans and conservation efforts are expected to support crucial connections for wildlife under climate change. We assessed vulnerability of eight wildlife species and four biomes to climate change, with a focus on potential impacts to connectivity. Our assessment provides some insights about where these species and biomes may be most vulnerable or most resilient to loss of connectivity and how this information could support climate-smart management action. We also encountered high levels of uncertainty in how climate change is expected to alter vegetation and how wildlife are expected to respond to these changes. This uncertainty limits the value of our assessment for informing proactive management of climate change impacts on both species-specific and biome-level connectivity (although biome-level assessments were subject to fewer sources of uncertainty). We offer suggestions for improving the management relevance of future studies based on our own insights and those of managers and biologists who participated in this assessment and provided critical review of this report.

Tags: climate-change, connectivity, environment, environment-and-conservation, greater-sage-grouse, idaho, montana, natural-resource-management, rocky-mountains, united-states, usgs-5867e0d4e4b0cd2dabe7c76a, wyoming
Organization: Department of the Interior
5-meter swath bathymetric grid collected by Alpine Ocean Seismic Survey, Inc., offshore of The Rockaways to Jones Inlet, NY in 2014, as part of a collaborative U.S. Army Corp of Engineers and U.S. Geological Survey mapping effort (UTM zone 18N, WGS 84, Esri binary grid file format)

Hurricane Sandy, the largest storm of historical record in the Atlantic basin, severely impacted southern Long Island, New York in October 2012. In 2014, the U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE), conducted a high-resolution multibeam echosounder survey with Alpine Ocean Seismic Survey, Inc., offshore of Fire Island and western Long Island, New York to document the post-storm conditions of the inner continental shelf.  The objectives of the survey were to determine the impact of Hurricane Sandy on the inner continental shelf morphology and modern sediment distribution, and provide additional geospatial data for sediment transport studies and coastal change model development.
For more information about the WHCMSC Field Activity, see https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-072-FA.

Tags: alpine-seismic-survey-inc, bathymetry, cmgp, coastal-and-marine-geology-program, elevation, field-activity-number-2015-072-fa, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, jones-beach, jones-inlet, marine-geology, marine-geophysics, multibeam-echosounder, multibeam-sonar, new-york, north-america, oceans, r-v-shearwater, r2sonic-2024, sea-floor-characteristics, swath-bathymetry, the-rockaways, u-s-geological-survey, united-states, usgs, usgs-b755ab46-7abc-40c4-bf0d-1f4f593e2365, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Event deposit characteristics from percussion driven gravity cores collected in Alaskan lakes and fjords following the 2018 Anchorage earthquake

This dataset includes deposit thickness and grain size measurements from sediment cores collected from lacustrine and fjord basins in southcentral Alaska following the 2018 Anchorage earthquake. The cores were collected with a percussion driven gravity corer for use in regional hazard assessments relating to Alaska’s seismic hazard.

Tags: chelatna-lake, cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, geoscientificinformation, harriman-fjord, inlandwaters, kenai-lake, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, passage-canal, pcmsc, prince-william-sound, sediment, skilak-lake, state-of-alaska, substrate, tustumena-lake, u-s-geological-survey, usgs, usgs-7dfad99c-741f-4dc5-b5d1-e25582ba719a
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2016 Site 0547 land-water matrix

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 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 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 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 four land-water products (2005, 2008, 2012, and 2016).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b631ad4e4b006a11f71781b, wetland, wetland-ecosystems, wetlands
Organization: Department of the Interior
Acoustic, Spatial, and Sediment Size Data Collected on the Upper Colorado River to Estimate the Flushing  Flows, Colorado, 2019

In 2019, the U.S. Geological Survey (USGS), in cooperation with the Upper Colorado River Wild and Scenic Stakeholder Group, studied the magnitude and recurrence interval of streamflow needed to initiate bed movement of gravel-sized and finer sediment in a segment of the Colorado River in Colorado to better understand sediment movement and its relation to flow regimes of the river. Bed movement occurred more frequently and at lower streamflows from State Bridge to Catamount Bridge compared to the study area upstream from State Bridge. Two independent and complementary lines of evidence were collected to detect incipient bed movement. Two stationary hydrophone systems were installed on April 23, 2019 at the above Catamount Bridge stationary hydrophone site, and two were installed on April 24, 2019 at the Radium stationary hydrophone site. These four systems recorded underwater sounds related to bed movement until all the stationary hydrophone systems were removed on August 26, 2019. Two longitudinal hydrophone profiles were carried out at different streamflows to collect underwater acoustic data using hydrophones throughout the study area on June 6-8, 2019 (June 6-8 longitudinal profile) and June 18-19, 2019 (June 18-19 longitudinal profile). The June 6-8 longitudinal profile began at the Pumphouse Recreation Area and ended at the Dotsero boat launch located at Dotsero, Colo. The June 18-19 longitudinal profile began at the Pumphouse Recreation Area and ended at the Catamount Bridge boat launch located at the USGS streamgage 09060799 Colorado River at Catamount Bridge, Colo. Pebble counts of coarse surface particles were performed in the wadeable areas adjacent to the stationary hydrophones to provide general estimates of the size of the material that could be mobilized and recorded near the hydrophones.

Tags: acoustic-data, bedload-transport, colorado, data, dotsero-colorado, eagle-county-colorado, flood, flushing-flow, geomorphology, grand-county-colorado, hydrology, hydrophones, kremmling-colorado, sediment-transport, state-bridge-colorado, upper-colorado-river, usgs-5e29d861e4b0a79317cf7f95
Organization: Department of the Interior
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the southern shoreline of Cape Cod, MA

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. 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. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic LIDAR  lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center.
This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

Tags: atlantic-coast, coastal-and-marine-geology-program, coastal-processes, database-iv-format, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, lidar-uncertainty, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, mean-high-water, mhw, national-assessment-of-shoreline-change-project, new-england, oceans, shoreline, shoreline-change, statistical-analysis, u-s-geological-survey, united-states, usgs, usgs-5ee2765582ce3bd58d7e148b, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Input and Output Data used to Compare Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico

This child page contains the model input and output data used in the model calibration process for one Program for Predicting Polluting Particle Passage through Pits, Puddles and Ponds (P8) model during the calibration period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). This model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the northeastern quadrant of Albuquerque that exhibits flashy, monsoonal-driven storm runoff events. The model is described in detail in the associated SIR.

Tags: albuquerque, bernalillo, new-mexico, precipitation-atmospheric, rio-grande, runoff, storms, stormwater-runoff, streamflow, streamflow-modeling, urban-runoff, usgs-5e629a18e4b01d509257dcc5
Organization: Department of the Interior
Geologic faults in Danforth Hills study area (danfltg)

Faults in Danforth Hills study area.

Tags: coal, colorado-plateau, cplateaucoal, danforth-hills, dhillscoal, economy, environment, faults, geology, geoscientificinformation, nca2000, piceance-basin, usgs-60a802d8d34ea221ce4e5415
Organization: Department of the Interior
Supporting Data for Sediment Studies in the White River Watershed

The White River is a dynamic gravel-bedded system in western Washington, with headwaters on Mount Rainier. Chronic aggradation in the lower river has reduced flood conveyance to a point where modest discharges are increasingly causing substantial flood damage. In order to better understand the dynamics governing this aggradation, and how aggradation rates may be influenced by forecasted changes in climate, the USGS conducted a broad study looking at the watershed-scale delivery and routing of coarse sediment (sand and gravel). Those results have been published in a GSA Bulletin journal article (https://doi.org/10.1130/B35530.1). This data release consists of supporting data used in that product, and includes
1) Grain size distribution data for subsurface gravels in the main stem White River
2) Structure-from-Motion derived digital elevation models (DEMs) of the White and West Fork White Rivers, covering the areas within the National Park boundaries
3) DEMs of difference showing topographic change in the watershed over various intervals from 1979 to 2017
4) Scanned survey sheets of a 1907 survey of the lower White, Puyallup and Duwamish Valleys

Tags: emmons-glacier, environment, mount-rainier, puget-sound, sediment-transport, sedimentation, usgs-5c9277f2e4b0938824574e74, west-fork-white-river, white-river, winthrop-glacier
Organization: Department of the Interior