AndreaBozzo/ceres-open-data-index huggingface dataset:
DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Assateague Island, MD &amp; 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: assateague-island, assateague-island-national-seashore, atlantic-ocean, barrier-island, bayesian-network, biota, charadrius-melodus, chincoteague-national-wildlife-refuge, cmgp, coastal-and-marine-geology-program, coastal-habitat, delmarva-peninsula, ecology, environment, foraging-ecology, geographic-information-systems, geography, geomorphology, geospatial-analysis, geospatial-datasets, gis, maryland, md, mean-high-water, mhw, north-america, piping-plovers, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3782e4b09fd3b0c9ce89, va, virginia, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Shorelines Extracted from 1984-2015 Landsat Imagery: Cat Island, Mississippi (Polygon: Individual Dates)

Shorelines Extracted from 1984-2015 Landsat Imagery:  Cat Island, Mississippi (Polygon: Individual Dates) is a dataset consisting of 268 polygon shapefiles representing shorelines generated from satellite imagery that was collected from 1984 to 2015.  The sample frequency of satellite imagery is much higher, and the coverage much greater, than most routine high-resolution topographic surveys.  Certain aspects of barrier island morphology, such as island size, shape and position, can be determined from these images and can indicate erosion, land loss, and island breakup.  Studying how these characteristics evolve will help develop an understanding of how barrier islands will respond to climate change, sea level rise, and major storms in the future and that will serve to improve management of coastal resources.

Tags: 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013, 2014, 2015, aerial-and-satellite-photography, barrier-island, barrier-island-migration, cat-island, coastal-processes, coastal-processes-gt-beaches, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, enhanced-thematic-mapper-plus-etm, erosion, gulf-of-mexico, harrison-county, land-surface-gt-land-use-land-cover-gt-land-cover, landsat-5, landsat-7, landsat-8, mapping, mississippi, mississippi-sound, ocean-gt-coastal-processes-gt-barrier-islands, operational-land-imager-oli, remote-sensing, satellite-imagery, shore, shoreline, shoreline-accretion, shoreline-erosion, thematic-mapper-tm, united-states, usgs-5dbf1998-641d-4a44-a811-1c81c83603b8
Organization: Department of the Interior
Shasta Salamanders Survey Results for the Shasta-Trinity National Forest, 2019-2020

These data are the results of surveys for the Shasta salamander complex (Hydromantes shastae, H. samweli, and H. wintu) conducted at 87 survey plots on the Shasta-Trinity National Forest from April 2019 to March 2020. Time- and area-constrained occupancy surveys were conducted at plots selected within high-priority areas identified by the U.S. Fish and Wildlife Service. There are additional surveys planned for future field seasons.
As the Shasta Salamander is under review for listing under the Endangered Species Act, sensitive location information is restricted, and can be made available upon request by contacting the dataset point of contact.

Tags: amphibians, biota, california, field-inventory-and-monitoring, herpetology, plot-sampling, shasta-national-forest, shasta-trinity-national-forest, trinity-national-forest, usgs-5db8bfe5e4b0b0c58b5a522f
Organization: Department of the Interior
SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Coast Guard Beach, MA, 2013-2014

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

Tags: atlantic-ocean, barrier-island, cape-cod, cape-cod-national-seashore, cmhrp, coast-guard-beach, coastal-and-marine-hazards-and-resources-program, coastal-habitat, coastal-processes, environment, erosion, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, hazards, image-analysis, ma, massachusetts, mean-high-water, mhw, north-america, oceans, scientific-interpretation, sea-level-change, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3725e4b09fd3b0c9ce23, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Process-based water temperature predictions in the Midwest US: 6 Habitat metrics

This dataset summarized a collection of annual thermal metrics to characterize lake temperature impacts on  fish habitat for 7,150 lakes from uncalibrated models (PB0) and 449 from calibrated models (PBALL). The dataset includes over 172 annual thermal metrics.

Tags: climate-change, environment, hybrid-modeling, inlandwaters, minnesota, mn, modeling, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5db819bbe4b0b0c58b5a4c47, water, water-resources
Organization: Department of the Interior
Process-based water temperature predictions in the Midwest US: 5 Model prediction data

Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. General Lake Model verion 2 process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error for 449 lakes (PBALL). Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations for 7,150 lakes.

Tags: climate-change, environment, hybrid-modeling, ia, il, illinois, in, indiana, inlandwaters, iowa, mi, michigan, minnesota, missouri, mn, mo, modeling, nd, ne, nebraska, north-dakota, oh, ohio, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5db819a8e4b0b0c58b5a4c45, water, water-resources, wi, wisconsin
Organization: Department of the Interior
Process-based water temperature predictions in the Midwest US: 4 Model inputs (meteorological inputs and ice flags)

This dataset includes model inputs (specifically, weather and flags for predicted ice-cover) and is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).

Tags: climate-change, environment, hybrid-modeling, ia, il, illinois, in, indiana, inlandwaters, iowa, mi, michigan, minnesota, missouri, mn, mo, modeling, nd, ne, nebraska, north-dakota, oh, ohio, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5db81996e4b0b0c58b5a4c43, water, water-resources, wi, wisconsin
Organization: Department of the Interior
Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes)

This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included.  This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).

Tags: climate-change, environment, hybrid-modeling, ia, il, illinois, in, indiana, inlandwaters, iowa, mi, michigan, minnesota, missouri, mn, mo, modeling, nd, ne, nebraska, north-dakota, oh, ohio, reservoirs, sd, south-dakota, temperate-lakes, temperature, thermal-profiles, united-states, us, usgs-5db8194be4b0b0c58b5a4c3c, water, water-resources, wi, wisconsin
Organization: Department of the Interior
Liquid water content of coastal California fog events, San Mateo County

Liquid water content (LWC) measurements were collected during coastal fog events using specialized fog water collection units outfitted with six flat panel mesh collector frames.  Simultaneous meteorological measurements were collected for four variables: wind, temperature, humidity, and solar radiation.  The dataset includes ~12,000 records for two sites.  Site one is in a grassland near the Midpeninsula Regional Open Space District (MROSD) Skyline Field Office (SFO) (WGS 84 Latitude 37.310723, Longitude -122.186204). The second site is in a Douglas fir forest clearing, 50 feet west of the MROSD North Purisima (NPUR) trailhead (Latitude 37.45018, Longitude -122.339407) parking lot. The fog collector consistes of six one-m2 frames. Each frame is outfitted with a different mesh configuration: coated or uncoated and one of three mesh types: 1) double-layer of 35% shade coefficient polyurethane Raschel mesh; 2) stainless steel 0.02 in, 49% shade coeffient wire mesh, or 3) FogHaTin, a 3-dimensional specialty textile polyurethane weave. The coating is a NBD-Nano hydrophobic formulation. Data were collected at SFO in 2016 and 2017 and at NPUR in 2017.

Tags: coastal, fog, monitoring, usgs-5db78c84e4b0b0c58b5a49cc, water, water-availability, water-budget, watershed
Organization: Department of the Interior
Leaf-level gas exchange and leaf-area index measurements collected at four study sites on the island of Maui, Hawaii, September 2017 - August 2018

The University of Hawaii at Manoa and the U.S. Geological Survey, in cooperation with the County of Maui Department of Water Supply and the State of Hawaii Commission on Water Resource Management, initiated a field data-collection program to measure the transpiration characteristics of native and non-native invasive plants within forested areas on the island of Maui. The field data collection is part of a study to quantify the impacts of high-priority non-native and dominant native plant species on freshwater resources throughout the State of Hawaii (https://archive.usgs.gov/archive/sites/hi.water.usgs.gov/studies/maui_eco/ index.html). The overall objective of the study is to provide needed information for (1) assessing species-specific impacts on freshwater resources and (2) reducing uncertainty in regional recharge estimates associated with forested areas. This dataset includes a summary of measurements of leaf-level gas exchange characteristics and leaf-area index at four study sites on the island of Maui, Hawaii between September 2017 and August 2018.

Tags: evaporation, evapotranspiration, gas-exchange, hawaii, invasive-species, leaf-area, leaf-area-index, maui, transpiration, usgs-5db323efe4b0b0c58b5869e4, vegetation
Organization: Department of the Interior
Data Release for the 2002 National Seismic Hazard Model for the Conterminous U.S.

Seismicity catalogs, gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2002 National Seismic Hazard Model for the Conterminous U.S. Seismicity catalogs are available for the western U.S. (in Mw) and central and eastern U.S. (in mb). Probabilistic seismic hazard data and maps of the conterminous U.S. for peak ground acceleration (PGA) and 0.1, 0.2, 0.3, 0.5, 1.0 and 2.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404) and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Hazard was calculated on a 0.1 degree by 0.1 degree grid, defined by a bounding box encompassing the conterminous U.S. (-125 to -65 degrees longitude west, 24.6 to 50 degrees latitude north). Development of the 2002 National Seismic Hazard Model for the Conterminous U.S. is documented in the USGS Open-File Report 02-420 (https://pubs.usgs.gov/of/2002/ofr-02-420/).  
This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2002) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.

Tags: conterminous-u-s, earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, ground-motion, hazard-curve, hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nehrp-site-classes, nshm, nshmp, spectral-period, u-s-seismic-hazard-maps, usgs, usgs-5db30989e4b0b0c58b585c0e
Organization: Department of the Interior
Data Release for the 1996 National Seismic Hazard Model for the Conterminous U.S.

Seismicity catalogs, gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 1996 National Seismic Hazard Model for the Conterminous U.S. Seismicity catalogs are available for the western U.S. (in Mw) and central and eastern U.S. (in mb). Probabilistic seismic hazard data and maps of the conterminous U.S. for peak ground acceleration (PGA) and 0.1, 0.2, 0.3, 0.5, 1.0 and 2.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404), 5 percent in 50 years (annual probability of 0.001026), and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Hazard was calculated on a 0.1 degree by 0.1 degree grid, defined by a bounding box encompassing the conterminous U.S. (-125 to -65 degrees longitude west, 24.6 to 50 degrees latitude north). Development of the 1996 National Seismic Hazard Model for the Conterminous U.S. is documented in the USGS Open-File Report 96-532 (https://pubs.usgs.gov/of/1996/532/). 
This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (1996) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.

Tags: conterminous-u-s, earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, ground-motion, hazard-curve, hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nehrp-site-classes, nshm, nshmp, spectral-period, u-s-seismic-hazard-maps, usgs, usgs-5db20e7ae4b0b0c58b57e2a6
Organization: Department of the Interior
Model Archive Summary for acoustic derived suspended-sediment concentration at 14246900 Columbia River at Port Westward NR Quincy, OR

Model archive summary describing the development of an acoustic derived suspended sediment time series computation model.  The model archive summary describes the methods and techniques used to develop the model for the Columbia River at Port Westward site – USGS site ID# 14246900.  The time series suspended sediment data will help determine the suspended sediment concentration at the site in real-time enabling science entities, managers, and others, track the movement of sediment in the Columbia River.

Tags: geomorphology, hydrology, sedimentology, usgs-5db1d2fbe4b0b0c58b576634, water-quality, water-resources
Organization: Department of the Interior
Data Release for the 2012 American Samoa and Neighboring South Pacific Islands Seismic Hazard Model

Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2012 American Samoa and Neighboring South Pacific Islands Seismic Hazard Model. Probabilistic seismic hazard data and maps of American Samoa and Neighboring South Pacific Islands for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404) and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Additionally, seismicity catalogs, deaggregation data, deterministic hazard data, and site-specific hazard data are available. Development of the 2012 American Samoa and Neighboring South Pacific Islands Seismic Hazard Model is documented in the USGS Open-File Report 2012-1087 (https://pubs.usgs.gov/of/2012/1087/).  
This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2012) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.

Tags: american-samoa, earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, ground-motion, hazard-curve, hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nehrp-site-classes, nshm, nshmp, spectral-period, u-s-seismic-hazard-maps, usgs, usgs-5db1cb2de4b0b0c58b575d8d
Organization: Department of the Interior
Selenium concentrations in tissues of the cyprinid Sacramento Splittail of the San Francisco Estuary (2010-11 and 2017)

Estuaries provide critical habitat for a vast array of fish and wildlife but are also a nexus for core economic activities that mobilize and concentrate contaminants that can threaten aquatic species. Selenium (Se), an essential element and potent reproductive toxin, is enriched in parts of the San Francisco Estuary (SFE) to levels known to cause toxicity, yet the risk of Se to species that inhabit the SFE is not well understood. We quantified Se concentrations in muscle, liver, and ovary of the demersal cyprinid Sacramento Splittail from six regions in the SFE at three time points (fall 2010-11, spring 2017) to evaluate Se exposure risk. Here we report fish morphological attributes, total selenium concentrations in fish boneless skinless muscle, liver, and ovary, as well as carbon, nitrogen and sulfur stable isotope values and elemental mass concentrations in fish muscle.

Tags: bioaccumulation, biological-monitoring, cyprinid, delta, estuary, exposure-risk, sacramento-san-joaquin-delta, san-francisco-bay, selenium, usgs-5db7525de4b0b0c58b5a4954
Organization: Department of the Interior
Mercury Contamination of Red-legged Kittiwakes in the Western Subarctic Pacific Ocean

This dataset contains mercury concentrations and locations of wintering red-legged kittiwakes in the western subartic Pacific Ocean.

Tags: biogeography, biota, birds, contaminant-exposure, distribution, hierarchical-clustering, isotopic-analysis, marine-isoscape, mercury-contamination, mesopelagic-predator, migration-organisms, non-breading, pacific-ocean, seabird, seabird-sentinels, stable-isotopes, usgs-5db0bac4e4b0b0c58b56ed30, western-subartic
Organization: Department of the Interior
Topographic LiDAR surveys of rivers in Alaska, July 24-26, 2019

The U.S. Geological Survey in collaboration with the U.S. Army Corps of Engineers Cold Regions Research and Engineering Laboratory (CRREL) collected topographic LiDAR surveys of four rivers in Alaska from July 24-26, 2019 to support research related to remote sensing of river discharge. Data were acquired for the Knik, Matanuska, Chena, Salcha, Tanana and Susitna Rivers using a Riegl VQ-580 LiDAR. The LiDAR was installed on a Robinson R44 Raven helicopter in a HeliPod that was designed and operated by CRREL. The LiDAR data included as part of this release include: a bare earth digital elevation model (DEM) in GeoTiff format and lidar point files in laz format for each river surveyed. Additionally, CRREL reports for each river surveyed are included as part of this data release. Several imagery data sets were collected coincident with the lidar surveys but will be part of a separate data release.

Tags: chena-river, lidar, matanuska-river, remote-sensing, salcha-river, tanana-river, usgs-5db09e1ae4b0b0c58b56e17a
Organization: Department of the Interior
Data Release for the 2007 Afghanistan Seismic Hazard Model

Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2007 Afghanistan Seismic Hazard Model. Probabilistic seismic hazard data and maps of Afghanistan for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404), 5 percent in 50 years (annual probability of 0.001026), and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Development of the 2007 Afghanistan Seismic Hazard Model is documented in the USGS Open-File Report 2007-1137 (https://pubs.usgs.gov/of/2007/1137/index.html).  
This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2007) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.

Tags: afghanistan, earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, ground-motion, hazard-curve, hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nehrp-site-classes, nshm, nshmp, spectral-period, u-s-seismic-hazard-maps, usaid, usgs, usgs-5db09bf1e4b0b0c58b56e169
Organization: Department of the Interior