AndreaBozzo/ceres-open-data-index huggingface dataset:
Mojave Desert tortoise (Gopherus agassizii) morphometrics and egg data from seven sites across the Mojave, (1997-2002)

These data were acquired from 7 study sites distributed across the range of Gopherus agassizii. Data were collected from 1997 to 2002 as part of three separate studies, although data were not collected at all sites in each year. Radio-transmitters were attached to the carapace of 151 females and VHF radio-telemetry was used to relocate animals to assess reproductive status. Egg production was determined from X-radiographs taken weekly/biweekly intervals (depending on the study) using a portable X-ray machine between April and July or August of each year. In addition, the mean carapace length (MCL) of each tortoise was measured at each time of capture or recapture using calipers (mm). A nesting event was recorded if a female previously observed with eggs was observed without eggs during a subsequent X-ray session.

Tags: area-31, biological-production, biota, bird-spring-valley, body-size, california, climate-change, climatic-variability, climatic-variation, clutch-size, ecology, ecosystem-functions, eggs, environmental-effects, environmental-variables, field-inventory-and-monitoring, gopherus-agassizii, lake-mead-national-recreation-area, mojave-desert, mojave-desert-tortoise, mojave-national-preserve, nevada, pahcoon-flat, piute-valley, radiography, redcliffs, reproduction, reproductive-output, reproductive-status, reptiles, sandstone-mountain, size, tortoises, total-annual-egg-production, usgs-6112bf2fd34ed11898f70454, utah, wildlife, wildlife-biology, x-radiography
Organization: Department of the Interior
Phytoplankton data for Cheney Reservoir near Cheney, Kansas, June 2001 through September 2020 (ver. 3.0,  August 2021)

This U.S. Geological Survey (USGS) Data Release provides phytoplankton data collected from Cheney Reservoir, Kansas, during June 2001 through September 2020. All data are reported as raw calculated values and are not rounded to USGS significant figures. This data release was produced in compliance with the open data requirements as a way to make scientific products associated with USGS research efforts and publications available to the public. The dataset includes all routine and quality assurance/quality control samples collected at the long-term sampling site on Cheney Reservoir located near the dam (USGS station identification number 07144790). Phytoplankton were identified to the lowest possible taxonomic level and abundance (density) and biovolume are reported.

Tags: algae, aquatic-biology, cheney-reservoir, division, freshwater, genus, hydrology, kansas, lake, limnology, phytoplankton, reservoir, species, surface-water-quality, taxa, taxonomy, united-states, usgs-6112b8c9d34ed11898f70426, usgs-station-id-07144790, water-quality-data
Organization: Department of the Interior
Wave thrust values at point locations along the shorelines of Massachusetts and Rhode Island

This product provides spatial variations in wave thrust along shorelines in Massachusetts and Rhode Island. Natural features of relevance along the State coast are salt marshes. In recent times, marshes have been eroding primarily through lateral erosion. Wave thrust represents a metric of wave attack acting on marsh edges. The wave thrust is calculated as the vertical integral of the dynamic pressure of waves. This product uses a consistent methodology with sufficient spatial resolution to include the distinct features of each marsh system. Waves under different climatological wind forcing conditions were simulated using the coupled ADCIRC/SWAN model system. The estuarine and bay areas are resolved with horizontal resolutions of order hundreds of meters. The simulations provide the wave height, period, and direction needed to calculate wave thrust. We consider the frequency of occurrence of each wind magnitude and direction bin for each location to reconstruct a weighted-average wave thrust that considers coastal orientation with regard to dominant wave direction. The resulting wave thrust is then mapped along the shoreline of the States of Massachusetts and Rhode Island to generate the present product.

Tags: biota, coastal-processes, massachusetts, mathematical-modeling, ocean-waves, rhode-island, salt-marsh, shoreline, united-states-of-america, usgs-61128723d34ee985ddc381c7, vulnerability, wave-attack, wave-thrust, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Phragmites australis responses to and microbial community composition of greenhouse soils (2018-2019 experiment)

To determine how native and non-native lineages of Phragmites australis affect and respond to soil bacteria, fungi and oomycetes, we collected live rhizomes, seeds and soil from native and non-native lineages of Phragmites from 10 sites within Michigan and Ohio, USA.  We propagated these field-collected samples to carry out a reciprocal-transplant plant-soil feedback experiment with multiple microbial inhibition treatments. Specifically, we investigated how each Phragmites lineage grew in soils pre-conditioned by each lineage and soils that had been pre-sterilized. Plant biomass was the main response variable collected to determine responses to microbial soil conditioning. We also used DNA meta-barcoding to identify the effects of each plant lineage on soil microbes and link plant responses to microbial communities. Specifically, DNA was extracted from soils and fungal and bacterial DNA was amplified to identify the microbial constituents. Amplicons were sequenced using Illumina MiSeq. This dataset includes outputs of bioinformatic analysis of sequences including operational taxonomic unit (OTU) generation, OTU abundance, resolved taxonomy, and environmental metadata collected in our survey. Raw sequences were uploaded to the NCBI Sequence Read Archive under SRA accession number PRJNA719385.

Tags: biota, fungi, invasive-species, michigan, microbes, ohio, southwestern-lake-huron-lake-huron, usgs-610ae262d34ef8d70568ebaf, western-lake-erie
Organization: Department of the Interior
Distribution and stomach contents of fishes in the northern Sacramento-San Joaquin Delta, 2020-2022

This data set includes count, location, and ancillary habitat data for fishes sampled in adjacent reaches of Georgiana Slough, Sacramento River, and Steamboat Slough in the northern Sacramento-San Joaquin Delta.  It also includes data on the stomach contents of selected individual black basses (Micropterus).  Fishes were sampled by boat electrofishing from approximately January-May, 2020-2022, plus gillnetting in 2020. Samples were collected under a stratified random sampling design.  Gillnetting involved short duration (~60 minute) sets of monofilament experimental gill nets.  Boat electrofishing involved either single or repeated passes along an individual 300 m shoreline transect.  Stomach contents data are from fishes that were frozen whole immediately upon collection and later processed in a laboratory.

Tags: aquatic-biology, biota, california, central-valley-chinook-salmon, ecology, environment, georgiana-slough, inlandwaters, oncorhynchus-tshawytscha, predation, sacramento-river, sacramento-san-joaquin-delta, salmon-survival, steamboat-slough, united-states, usgs-610ad614d34ef8d70568c149, wetlands
Organization: Department of the Interior
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas

This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset.  All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).

Tags: aquifer-mapping, bedrock-mapping, glacial-geology, new-york, orange-county, rondout-neversink, sourcewater, statistics, sullivan-county, ulster-county, usgs-610aa94ad34ef8d705689346, valley-fill
Organization: Department of the Interior
Long-term and short-term shoreline change rates for the coastal region south 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, oceans, shoreline, shoreline-change-rate, short-term, south-shore, transect, u-s-geological-survey, united-states, usgs, usgs-610a9fcbd34ef8d705689323, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for coastal region south of Boston, 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, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersects, massachusetts, north-america, oceans, shoreline, shoreline-change, south-shore, u-s-geological-survey, united-states, usgs, usgs-610a9f88d34ef8d705689320, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baseline for the coastal region south of Boston, 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, boston, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, massachusetts, new-england, north-america, oceans, shoreline, shoreline-change, south-shore, u-s-geological-survey, united-states, usgs, usgs-610a9f50d34ef8d70568931d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Long-term and short-term shoreline change rates for the southern coast of Cape Cod, 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, cape-cod, 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, oceans, shoreline, shoreline-change-rate, short-term, south-cape, transect, u-s-geological-survey, united-states, usgs, usgs-610a9e5bd34ef8d70568930f, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Intersects for the southern coast of Cape Cod, 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, cape-cod, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, intersects, massachusetts, north-america, oceans, shoreline, shoreline-change, south-cape, u-s-geological-survey, united-states, usgs, usgs-610a9ce0d34ef8d70568927c, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Baselines for the Outer Cape Cod, 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, cape-cod, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, geoscientificinformation, geospatial-datasets, massachusetts, new-england, north-america, oceans, outer-cape, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-610a973bd34ef8d70568924d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior