AndreaBozzo/ceres-open-data-index huggingface dataset:
Summary and synthesis of 15 years of the Amphibian Vital Sign monitoring in the National Capital Region Inventory and Monitoring Network

This data set is comprised of four files related to the counts of amphibian species in the National Capital Region of the United States. Data was obtained from surveys of both lentic (wetland) and lotic (stream) sites within national parks.

Tags: amphibians, catoctin-mountain-park, chesapeake-and-ohio-canal-national-historical-park, george-washington-memorial-parkway, harpers-ferry-national-historical-park, long-term-ecological-monitoring, manassas-national-battlefield-park, monocacy-national-battlefield, national-capital-parks-east, prince-william-forest-park, rock-creek-park, usgs-610a923cd34ef8d705689211
Organization: Department of the Interior
New Jersey StreamStats digital elevation, flow direction, and flow accumulation GIS data 2022

The U.S. Geological Survey (USGS), in cooperation with the New Jersey Department of Environmental Protection (NJDEP), prepared hydro-conditioned geographic information systems (GIS) data layers for use in the updated New Jersey StreamStats 2022 application (U.S. Geological Survey, 2022). This update features improvements in base-elevation resolution from 10 meters to 10 feet and stream centerline hydrography from 1:24,000 to 1:2,400 scale. Hydro conditioning is the process of burning single-line stream centerlines at the 1:2,400 scale into a digital elevation model to produce flow direction and flow accumulation grids. This data release contains raster digital datasets for a 10-foot digital elevation model, a flow direction grid, and a flow accumulation grid for the updated New Jersey Streamstats 2022 application. The eleven 8-digit Hydrologic Unit Codes (HUCs) represented by this dataset are 02020007, 02030103, 02030104, 02030105, 02040104, 02040105, 02040201, 02040202, 02040206, 02040301, and 02040302 (U.S. Geological Survey, 2016). The updated New Jersey StreamStats 2022 application provides access to spatial analytical tools that are useful for water-resources planning and management, as well as engineering and design purposes. The map-based user interface can be used to delineate drainage areas, determine basin characteristics, and estimate flow statistics, including instantaneous flood discharge, monthly flow-duration, and monthly low-flow frequency statistics for ungaged streams.
References cited:
U.S. Geological Survey, 2016, National Hydrography: U.S. Geological Survey, accessed February 4, 2022, at https://www.usgs.gov/national-hydrography.
U.S. Geological Survey, 2022, StreamStats v4.6.2: U.S. Geological Survey, accessed February 4, 2022, at https://streamstats.usgs.gov/ss/.

Tags: elevation, environment, geoscientificinformation, geospatial-datasets, hydrology, land-surface-characteristics, new-jersey, streamflow, streams, topography, united-states, usgs-610a8b27d34ef8d7056879b7, watershed-management
Organization: Department of the Interior
Model Output Tabular Summaries for Central Valley Water and Land Use Futures: Land Use Change, Flooded Area, and Flooded Habitat Change

To support coordinated conservation, wetland restoration, and climate adaptation planning, we have developed five future scenarios of the Central Valley's seasonally flooded cropland and wetland waterbird habitat based on the State’s most recent climate and land use projections (Wilson et al. 2021).The USGS Western Geographic Science Center and Point Blue Conservation Science modeled a Business-as-Usual scenario plus the four scenarios developed for the Central Valley Landscape Conservation Project, which diverged along two key themes: water availability and management for conservation. Scenarios varied by climate projection (hot and wet vs. warm and dry) and management priorities (wetland restoration rate, crop conversion rate, and prioritization of water for wetland and cropland habitats). Urbanization rates were the same for all scenarios. To model these scenarios, we integrated a hydrologic and water-use model (the Water Evaluation and Planning (WEAP) model, WEAP-CVwh, Matchett and Fleskes, 2017) with a land change model (the Land Use and Carbon Scenario Simulator, LUCAS, Wilson et al. 2020). The models produced annual maps of land use change and monthly maps of flooded habitat probability at 270-meter resolution, from 2011 to 2101 (Wilson et al. 2021). The scenarios were:
Historical Business As Usual (HBAU) = historical water availability, historical management
California Dreamin' (DREAM) = high water, good management
Bad Business As Usual (BBAU) = high water, poor management
Everyone Equally Miserable (EEM) = low water, good management
Central Valley Dustbowl (DUST) = low water, poor management
This data release contains three types of model output tabular summaries for four geographic areas: WEAP model zones, Sustainable Groundwater Management Act (SGMA) California Bulletin 118 groundwater sub-basins, Central Valley Joint Venture (CVJV) planning basins, and Central Valley regions. The datasets summarize 1) land use change for select land use/land cover classes, 2) area of likely flooded habitat, and 3) change in January flooded habitat area and its causes for the 5 future scenarios of managed waterbird habitat. The datasets were generated from the LUCAS model and the WEAP CVwh model as described in the parent manuscript. The full methods and results of this research are described in detail in the parent manuscript "Integrated modeling of climate and land change impacts on future dynamic wetland habitat – a case study from California’s Central Valley" (2021). These tabular summaries provide the underlying data behind the figures in the ESRI Story Map: Central Valley Water and Land Use Futures, https://wim.usgs.gov/geonarrative/centralvalleyfutures/ (Moritsch et al. 2021).

Tags: biota, california, california-valley, environment, geoscientificinformation, hydrologic-characteristics-of-habitats, land-use-change, usgs-610a031fd34ef8d70566f60b, usgs-ema-low-sb-smc-waterbird-management, wetland
Organization: Department of the Interior
Hawaii Volcanoes National Park plant community and fire severity data, 2018-2020

This data release includes metadata and tabular data that document Acacia koa density, basal area, and grass cover before and after the 2018 Keauhou Ranch Fire in Hawaii Volcanoes National Park. Specifically, we asked three questions: 1) At what level of precision can pre-fire grass cover be accurately estimated from oblique aerial photos? 2) How are post-fire Acacia koa regeneration densities affected by fire severity? 3) How are post-fire A. koa regeneration densities affected by pre-fire grass cover and its interaction with fire severity? We collected burn severity and post-fire regeneration data from 30 transects stratified across mid-elevation woodland, montane woodland, and montane shrubland. We evaluated visual estimates of pre-fire grass cover from oblique aerial imagery with in situ data from 60 unburned transects of the same cover types.

Tags: aerial-imagery, barc-burned-area-reflectance-classification, biota, fire, fire-intensity, grass-fire-cycles, hawaii-island, hawaii-volcanoes-national-park, invasive, usgs-6109c35fd34ef8d70566cc6d
Organization: Department of the Interior
Average growing season evapotranspiration (ET) data for the riparian corridor of the Colorado River Delta in Mexico from 2000-2020

These data were compiled for evaluating plant water use, or river-reach level evapotranspiration (ET) data, in the riparian corridor of the Colorado River delta as specified under Minute 319 of the 1944 Water Treaty. The seven reach areas from the Northerly International Boundary (NIB) to the end of the delta at the Sea of Cortez were defined for research activities.  Also, these seven reaches are being monitored under Minute 323 of the 1944 Water Treaty. Additionally, these data were compiled for evaluating restoration-level data in Reach 2 and Reach 4, as specified under Minute 323 of the 1944 Water Treaty. Objectives of our study were to measure the peak growing season evapotranspiration (ET) for the average of months in summer-fall (May to October) for the seven reaches, for the full riparian corridor, and for four restoration sites, from 2000 through 2020. These data represent measurements of ET using the enhanced vegetation index (EVI), along with potential ET from meteorological station data in Yuma, Arizona. These data were collected using Landsat satellite data (30 m resolution) over the delta of the Colorado River starting near Yuma, AZ and continuing another 150km to the Sea of Cortez along the river corridor. These data were collected by Pamela Nagler, Ph.D. of the U.S. Geological Survey-Southwest Biological Science Center, and Armando Barreto-Muñoz, Ph.D. and Kamal Didan, Ph.D. of the University of Arizona, Vegetation Index and Phenology Lab. These data can be used to evaluate riparian vegetation community water use in the Lower Colorado River delta region where there is active restoration efforts. These ET data depict a Landsat time series from three sensors over the 21-year period. The time-series data can be used by land and water managers to monitor spatial and temporal riparian zone trends and changes, and document riparian ecosystem health and its water use in the riparian corridor of the Lower Colorado River delta near Yuma, AZ and continuing another 150km to the Sea of Cortez. End users of these data are federal, state, tribal partners and NGOs on both sides of the International border.

Tags: baja-california, colorado-river, deltas, ecosystem-monitoring, ecosystem-sustainability, ejido-hidalgo, ejido-miguel-aleman, ejido-plan-de-ayala, enhanced-vegeation-index, estuarine-ecosystems, et, evapotranspiration, evi, field-inventory-and-monitoring, francisco-murguia, gulf-of-california, imagerybasemapsearthcover, landsat-images, mexico, minute-319-agreement, minute-323-agreement, morelos-dam, remote-sensing, riparian-ecosystem, riparian-habitats, san-luis, san-luis-rio-colorado, sonora, southern-international-boundary, terrestrial-ecosystems, united-states, united-states-international-boundary, usgs-6109b90dd34ef8d7056698c7, vegetation, vegetation-change, wetland-ecosystems, yuma
Organization: Department of the Interior
Database of invasive annual grass spatial products for the western United States January 2010 to February 2021

Invasive annual grasses (IAGs) present a persistent challenge for the ecological management of rangelands, particularly the imperiled sagebrush biome in western North America. Cheatgrass (Bromus tectorum), medusahead (Taeniatherum caput-medusae), and Ventenata spp. are spreading across sagebrush rangelands and already occupy at least 200,000 kilometers squared (km sq.) of the intermountain west. The loss and degradation of native plant communities caused by IAGs threatens the persistence of sagebrush obligate species such as the Greater Sage-grouse (Centrocercus urophasianus) and pygmy rabbit (Brachylagus idahoensis). IAGs convert sagebrush landscapes to monocultures of non-native grasslands that substantially increase the risk of wildfire and degrade important ecosystem services including forage production and quality, soil stability, and carbon sequestration. As a result, the economic consequences of IAGs are substantial.
Successful management of IAG invasions depends on extensive and accurate geospatial data that is accessible and interpretable by those charged with managing landscapes across the sagebrush biome. The past decade has seen a rapid growth in these products, yet researchers and managers both report a persistent research-implementation gap between the availability of products and their application. To address this problem, we first conducted a systematic literature review to inventory spatial products released over the past decade that map cheatgrass, medusahead, and Ventenata within the western U.S. at regional and national scales. We then developed a series of informational data resources to guide land managers in understanding and selecting the best available spatial data for their management needs. 
This Excel-readable .xlsx file version database product represents a searchable, filterable, and sortable collection of summary information for each IAG spatial data product, published from January 2010 to February 2021, we summarized as part of our review. An additional, machine-readable .csv file version of the database is also available for users.

Tags: bromus-tectorum, cheatgrass, medusahead, research-implementation-gap, taeniatherum-caput-medusae, usgs-6108b1bad34ef8d70565fa8c, usgs-ema-low-invasive-species, usgs-ema-low-is-cheatgrass, ventenata
Organization: Department of the Interior
Long-term and short-term shoreline change rates for the region north of Boston, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates 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 datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (like a High Water Line shoreline) and a datum shoreline (like a Mean High Water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have "LT"; in their names, files associated with short-term rates have "ST"; in their names.

Tags: accretion, atlantic-coast, baseline, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, new-england, north-shore, oceans, shoreline, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-61083ddcd34ef8d70565bff0, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Long-term and short-term shoreline change rates for the region of Nantucket, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates 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 datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (like a High Water Line shoreline) and a datum shoreline (like a Mean High Water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have "LT"; in their names, files associated with short-term rates have "ST"; in their names.

Tags: accretion, atlantic-coast, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-polyline-shapefile, geoscientificinformation, geospatial-datasets, historical-shoreline, linear-regression-rate, long-term, lrr, massachusetts, massachusetts-office-of-coastal-zone-management, nantucket, new-england, oceans, shoreline, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-610830dfd34ef8d70565bd89, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for coastal region of Nantucket, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates 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 datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline from lidar data extracted in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (the high water Line shoreline) and a datum shoreline (the mean high water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have "ST” in their names.

Tags: atlantic-coast, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersects, massachusetts, nantucket, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-6108308dd34ef8d70565bd53, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baselines for the coast of Martha's Vineyard, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1

The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast by compiling a database of historical (mid 1800's-1989) shoreline positions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure.  In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates 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 datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service (NOAA), Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline from lidar data extracted in 2018 by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (the High Water Line shoreline) and a datum shoreline (the Mean High Water shoreline). This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates.  Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have "ST” in their names.

Tags: atlantic-coast, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, marthas-vineyard, massachusetts, new-england, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-61082f8ed34ef8d70565bbf3, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior