AndreaBozzo/ceres-open-data-index huggingface dataset:
Stream Attributes and Habitat Intrinsic Potential Model Results to examine Freshwater Habitat Potential for Chinook Salmon in the Yukon and Kuskokwim River Basins, Alaska

Chinook Salmon (Oncorhynchus tshawytscha) are an important commercial, subsistence, and recreational fishery resource in Alaska, and recent population declines have resulted in closures of some Chinook Salmon fisheries. Research into environmental factors involved in the decline of salmon stocks has exposed information gaps regarding fine-scale freshwater habitat quality known to influence Chinook Salmon productivity. We developed spatially-explicit intrinsic habitat potential models for Chinook Salmon freshwater spawning and rearing life-stages based on geomorphic stream network attributes (e.g., gradient, mean annual flow, valley bottom width). Model predictions were applied to individual stream reaches and summarized across synthetic stream networks derived from high-resolution (5-meter) digital elevation models covering the Yukon River drainage west of the US-Canada border and the entire Kuskokwim River drainage (total stream length ~667,000 km across 1.3 million km2 area). Vector spatial datasets include unique reach contributing area (uRCA) and unique reach contributing area valley bottom (uRCA VB) polygons, and confluence to confluence streamline edges derived from the NetMap synthetic streamlines product. Tabular data includes a collection of stream attributes summarized by uRCA or uRCA VB polygons, and habitat model results derived from these stream attributes. See metadata records for individual data elements for a description of input sources, software
environments, data quality, processing steps, and attribute information. Approximately 87,500 and 39,500 stream km were predicted to represent moderate to high (index scores 0.6-1.0) Chinook Salmon rearing and spawning habitat suitability, respectively. Our high-resolution, spatially explicit dataset provides many options for summarizing and visualizing habitat suitability across areal units (e.g., river basins, land management boundaries) and assessing the potential for high suitability habitats outside the known distribution of Chinook Salmon at scales useful for managers and the research community.

Tags: alaska, biota, elevation, environment, geospatial-datasets, inlandwaters, interior-alaska, kuskokwim-river, reach-contributing-area, synthetic-stream-network, usgs-64df8deed34e5f6cd553baec, yukon-river
Organization: Department of the Interior
USGS Land Treatment Digital Library Data Release: A centralized archive for land treatment tabular and spatial data (ver. 6.0, August 2023)

Across the country, public land managers make hundreds of decisions each year that influence landscapes and ecosystems within the lands they manage. Many of these decisions involve vegetation manipulations known as land treatments. Land treatments include activities such as removal or alteration of plant biomass, seeding burned areas, and herbicide applications. Data on these land treatments historically have been stored at local offices and gathering information across large spatial areas was difficult. These valuable data needed to be centralized and stored for Federal agencies involved in land treatments because these data are useful to land managers for policy and management and to scientists for developing sampling designs and studies.
In 2008, the Land Treatment Digital Library (LTDL) was created by the U.S. Geological Survey (USGS) to catalog information about land treatments on federal lands in the western United States. The flexible framework of the library allows for the storage of a wide variety of data in different formats. The library contains data in text, tabular, spatial, and image formats. Specific examples include project plans and implementation reports, monitoring data, spatial data files from geographic information systems, digitized paper maps, and digital images of land treatments. The data are entered by USGS employees and are accessible through a searchable website. The LTDL can be used to respond to information requests, conduct analyses and other forms of information syntheses, produce maps, and generate reports for federal managers, scientists, and other authorized users.
This data release includes the most up to date data available in the LTDL at the time of release. However, most field offices were last visited to collect their comprehensive treatment data between 2011-2014. Users should be aware that while treatments may exist in some field offices past the date of last collection, it is not a comprehensive representation of land treatments that have occurred on BLM lands during the most recent time span. Offices in southern Idaho and eastern Oregon were revisited in the winter of 2019 and the data collected during those visits are available in this release. Offices in northern Nevada were visited in 2023 and some of the data collected during those visits are available in this release. All available post wildfire emergency stabilization and rehabilitation treatments are included for fires up to 2022.

Tags: arizona, biota, california, colorado, data-management, data-preservation, database-administration, digitization, environment, idaho, information-technology-methods, interagency-programs, montana, nevada, new-mexico, north-america, north-dakota, oregon, south-dakota, texas, united-states, usgs-64c95bfcd34e70357a34c542, utah, washington, wyoming
Organization: Department of the Interior
Seedling counts, Hawaiʻi Volcanoes National Park

This data release includes data and metadata on seedling counts for native woody species, for plots that were established to monitor the efficacy of post-fire seed addition in Hawaii Volcanoes National Park on the Island of Hawaiʻi. All plots were located in the burn scar of the 2018 Keauhou Fire in Hawaiʻi Volcanoes National Park, in the area known as the "Mauna Loa strip", located on the south flank of Mauna Loa.

Tags: avian-diet, botany, ecology, exotic-grass, forest-resources, forest-restoration, hawaii, hawaii-volcanoes-national-park, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-64defe33d34e5f6cd553affa
Organization: Department of the Interior
Species list for seed addition study, Hawaiʻi Volcanoes National Park

This data includes a plant list and species codes used in the study, as well as synonyms for plant species under different references. All plots were located in the burn scar of the 2018 Keauhou Fire in Hawaiʻi Volcanoes National Park, in the area known as the "Mauna Loa strip", located on the south flank of Mauna Loa, on the Island of Hawaiʻi..

Tags: avian-diet, botany, ecology, exotic-grass, forest-resources, forest-restoration, hawaii, hawaii-volcanoes-national-park, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-64defd4dd34e5f6cd553aff6
Organization: Department of the Interior
Plot location, burn severity, and canopy data, Hawai‘i Volcanoes National Park

This data includes plot location, elevation, canopy density, canopy species, and char height for each plot that was surveyed for this study. All plots were located in the burn scar of the 2018 Keauhou Fire in Hawaiʻi Volcanoes National Park, in the area known as the "Mauna Loa strip", located on the south flank of Mauna Loa.

Tags: avian-diet, botany, ecology, exotic-grass, forest-resources, forest-restoration, hawaii, hawaii-volcanoes-national-park, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-64defb3ad34e5f6cd553ac1f
Organization: Department of the Interior
General quadrat information, Hawaiʻi Volcanoes National Park

This data release includes data and metadata on plant functional group and substrate cover, as well as location information, and soil depth data, for plots that were established to monitor the efficacy of post-fire seed addition in Hawaiʻi Volcanoes National Park on Hawaii Island. All plots were located in the burn scar of the 2018 Keauhou Fire in Hawaiʻi Volcanoes National Park, in the area known as the "Mauna Loa strip", located on the south flank of Mauna Loa.

Tags: avian-diet, botany, ecology, exotic-grass, forest-resources, forest-restoration, hawaii, hawaii-volcanoes-national-park, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-64def620d34e5f6cd553abfb
Organization: Department of the Interior
Plant cover data, Hawai‘i Volcanoes National Park

This data release includes data and metadata on plant species cover,  for plots that were established to monitor the efficacy of post-fire seed addition in Hawaii Volcanoes National Park on the Island of Hawaiʻi. All plots were located in the burn scar of the 2018 Keauhou Fire in Hawaiʻi Volcanoes National Park, in the area known as the "Mauna Loa strip", located on the south flank of Mauna Loa.

Tags: avian-diet, botany, ecology, exotic-grass, forest-resources, forest-restoration, hawaii, hawaii-volcanoes-national-park, land-use-change, plant-competition, plant-ecology, seed-limitation, seedling-recruitment, tropical-forest-dynamics, usgs-64def5b1d34e5f6cd553abf8
Organization: Department of the Interior
Sediment properties, charcoal counts, and radiocarbon dates from the Pallett Creek paleoseismic site, San Gabriel Mountains, California (ver. 2.0, February 2024)

This data release provides geochemical, sedimentological, and geochronological data from interbedded fluvial and marsh deposits and radiocarbon dates of the section spanning the last 1500 years from the Pallett Creek paleoseismic site, California. The samples were collected to support paleoenvironmental reconstruction of the site and refine several previous investigations of paleoearthquakes along the San Andreas Fault (Sieh, 1978; Sieh, 1984; Sieh et al., 1989; Biasi and Weldon, 1994; Scharer et al., 2011). Geochemical and sedimentological data include grain size, magnetic susceptibility, dry bulk density, percent total organic matter, and percent total carbonate at contiguous 1 cm spacing and carbon (total C) to nitrogen (total N) ratios and charcoal counts every 4 cm from a 6.2 m section at the Pallett Creek paleoseismic site (34.4557°, -117.8872°). The data release also includes new and previously published radiocarbon datasets and associated depths to facilitate inter-study comparison. 
These datasets include: (1) New accelerator mass spectrometry (AMS) radiocarbon dates, completed in 2021 and 2022, targeting layers with few or conflicting dates in previous studies at the Pallett Creek paleoseismic site. For these samples, the types of taxa present in selected layers was determined. (2) AMS dates originally reported in Scharer et al. (2011) are included with amended d13C fractionation corrections and are assigned depths to the 6.2 m section at the Pallett Creek paleoseismic site. (3) Depths are assigned for conventional radiocarbon dates previously reported in Sieh (1978), Sieh et al. (1984), Sieh et al. (1989) and Biasi and Weldon (1994). The depth estimates enable use of the original studies with the newer stratigraphic and age data provided in the data release. (4) New radiocarbon dates from the same alluvial surface as the Pallett Creek paleoseismic site that are exposed ~1 km upstream (34.4536°, -117.8980°). This report should be used as the supplementary materials for any publication(s) that uses the sedimentologic and geochemical data or taxa identification or radiocarbon dates and depths reported herein.
Revision 2.0 by Katherine M. Scharer on February 6, 2024. To review the changes that were made see 'Versioning.txt' file in the Attached Files section on the data release landing page.

Tags: carbon-14-analysis, climate-change, geoscientificinformation, sedimentology, usgs-64deb0fbd34e5f6cd553557c
Organization: Department of the Interior
Radiocarbon dates from the 2020 Bobcat Fire and 2013 Grand Fire, Transverse Ranges, Southern California

This data release provides radiocarbon data for burned plant material collected from alluvial deposits following two wildfires in southern California.  For the 2020 Bobcat Fire we collected deposits in five stream channels within the Pallett Creek drainage in 2021. For the 2013 Grand Fire near Frazier Mountain, we sampled from two shallow pits excavated into alluvium deposited in 2014. The types of taxa present at each sample location were identified and radiocarbon samples were selected based on the types of material present.  This report should be used as the supplementary materials for any publication(s) that uses the radiocarbon dates or taxa identification reported herein.

Tags: carbon-14-analysis, fires, frazier-mountain, geochronology, geoscientificinformation, pallett-creek, san-gabriel-mountains, usgs-64deb000d34e5f6cd5535572, wildfire
Organization: Department of the Interior
Bias feature containing proxy-datum bias information to be used in the Digital Shoreline Analysis System for the western coast of North Carolina from Cape Fear to the South Carolina border (NCwest)

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change.
This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coastal-services-center, csc, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, high-water-line, hwl, mean-high-water, mhw, national-oceanic-and-atmospheric-administration, noaa, north-carolina, oceans, pdb, proxy-datum-bias, shoreline-accretion, u-s-geological-survey, united-states, usgs, usgs-64de701cd34e5f6cd55350cf, usgs-national-shoreline-change-project, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
USGS monthly water balance model inputs and outputs for the conterminous United States, 1895-2020, based on ClimGrid data

This NetCDF represents the monthly inputs and outputs from a United States Geological Survey water-balance model (McCabe and Wolock, 2011) for the conterminous United States for the period 1895-01-01 to 2020-12-31. The source data used to run the water balance model is based on the National Oceanic and Atmospheric Administration's(Vose and others, 2020)  ClimGrid data for precipitation and temperature. This NetCDF contains the following monthly inputs: temperature (degrees Celsius) and precipitation (millimeters, mm) and the following outputs (all in mm): runoff, soil moisture storage, actual evapotranspiration, potential evapotranspiration, snow water equivalent,  and snowfall. The spatial reference for this data set is ESPG 4326.  
References: 
Vose, Russell S., and others, Improved Historical Temperature and Precipitation Time Series for U.S. Climate Divisions, Journal of Applied Meteorology and Climatology,  vol. 53, issue 5, ppg. 1232-1251, DOI: 10.1175/JAMC-D-13-0248.1.
McCabe, Greg, Wolock, David M.,  Independent effects of temperature and precipitation on modeled runoff in the conterminous United States, Water Resources Research, volume 47, issue 11, November 2011, DOI: 10.1029/2011WR010630.
First posted - January 27, 2022
Revision posted - February 29, 2024
Changes in version 2.0
It was found that very low numbers from the source water balance data resulted in the netcdf to report NODATA.  Scaling factors were incorporated into the netcdf which retain these very low numbers and substantially increases throughput for more complex, arithmetic-dominated analysis such as weighted-averaging of multi-dimensional data and helps minimize storage space.

Tags: actual-evapotranspiration, air-temperature, conterminous-united-states, conus, environment, evaporation, evapotranspiration, freshwater-runoff, geoscientificinformation, inlandwaters, liquid-content-of-surface-snow, liquid-content-of-water, potential-evapotranspiration, precipitation, precipitation-amount, runoff, runoff-amount, snow-water-equivalent, snowfall, snowfall-amount, soil-moisture, soil-moisture-storage, surface-water-runoff, temperature, usgs-64c948dbd34e70357a34c11e, water-actual-evaporation-amount, water-balance-model, water-potential-evaporation-amount
Organization: Department of the Interior
Long and short-term shoreline intersect points for the western coast of North Carolina (NCwest), calculated using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, long-term-change, north-america, north-carolina, oceans, shoreline-accretion, shoreline-change, southeast-atlantic, u-s-geological-survey, united-states, usgs, usgs-64de700cd34e5f6cd55350cd, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Long and short-term shoreline change rate transects for the western North Carolina coastal region (NCwest), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: accretion, atlantic-coast, baseline, coastal-processes, digital-shoreline-analysis-system, dsas, environment, erosion, geoscientificinformation, geospatial-datasets, long-term-change-rates, north-carolina, oceans, shoreline, shoreline-accretion, shoreline-change, short-term-change-rates, southeast-atlantic, u-s-geological-survey, united-states, usgs, usgs-64de6ff1d34e5f6cd55350cb, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
2017 lidar-derived mean high water shoreline for the coast of North Carolina from Cape Fear to the South Carolina border (NCwest)

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. 
This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina (NCnorth), central North Carolina (NCcentral), southern North Carolina (NCsouth), and western North Carolina (NCwest). Previously published historical shorelines for North Carolina (Kratzmann and others, 2017) were combined with the new lidar shoreline to calculate long-term (up to 169 years) and short-term (up to 20 years) rates of change. Files associated with the long-term and short-term rates are appended with "LT" and "ST", respectively. A proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (e.g. High Water Line (HWL) shoreline) and a datum shoreline (e.g. MHW shoreline) is also included in this release.

Tags: atlantic-coast, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, mean-high-water, mhw, north-carolina, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-64de6fe0d34e5f6cd55350c8, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior