cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mwa9p9
title: Occurrence Download

description: A dataset containing 29534 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Chalcophaps indica (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 29534 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012090-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhgv63
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-101.35559 48.98316,-92.00195 49.19846,-92.00195 57.55317,-101.61255 57.34131,-101.35559 48.98316))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ammodramus bairdii (Audubon, 1844)"
 ]
}

 The dataset includes 35 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093350-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6veyca
title: Occurrence Download

description: A dataset containing 842981 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Upupa epops Linnaeus, 1758)"
 ]
}

 The dataset includes 842981 records from 1850 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023556-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8dnxma
title: Occurrence Download

description: A dataset listing the 617 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-74.178 3.908,-74.094 3.908,-74.094 3.988,-74.178 3.988,-74.178 3.908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 617 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036129-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9hnhb
title: Occurrence Download

description: A dataset containing 14458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Iguana Laurenti, 1768"
 ]
}

 The dataset includes 14458 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036132-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb9uzp
title: Occurrence Download

description: A dataset containing 2252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cathartes aura (Linnaeus, 1758)"
 ]
}

 The dataset includes 2252 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036135-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26275/vzis-bl5l
title: Generic mouse stomach scaffold

description: Annotated mouse stomach scaffold available for registration of segmented neural anatomical-functional mapping of enteric neural circuits.
DOI: 10.21951/hesc/1822833
title: Hydropower Energy Storage Capacity Dataset

description: The Hydropower Energy Storage Capacity (HESC) Dataset catalogues estimates of nominal energy storage capacity based on varying levels of detail. Dams and reservoirs selected were selected based on those reported in the National Inventory of Dams (NID 2019) and/or the Global Reservoir and Dam (GRanD v1.3) datasets. These data provide a foundation for understanding available resources at existing hydropower facilities and their potential to provide storage of energy and more flexible generation. Current estimates include Level 1 (based on maximum storage capacities and hydraulic head) and Level 2 (based on historical models or observations of reservoir volume and hydraulic head). For facilities where installed capacity is known, there are also estimates for discharge duration or the length of time when a facility could provide generation at a given capacity. Essential information used to calculate the energy storage capacity and discharge duration (volume, hydraulic head, and details about the sources or records used to obtain those parameters) and summaries of historical generation (for context) are also included.
DOI: 10.21951/flpeslc/1822907
title: FERC Licensing Proceeding Environmental Study Life Cycle

description: This dataset summarized the back-and-forth of study submittals and issuances from Aldrovandi et al. (2021) for seven licensed hydropower projects presented as case studies in Aldrovandi et al. (2021), leveraging information from six of the seven case study projects documented in Pracheil et al. (2019), Sci Tot Env 687: 1245-1260. This information was mined from documents containing information on environmental studies conducted for US federal hydropower licensing. Documents included were found in the FERC eLibrary and was summarized and presented in Aldrovandi et al. (2021). A description of the types of documents used in this dataset can be found in Aldrovandi et al. (2021).
DOI: 10.21951/regulatory/1826526
title: Hydropower Licensing Timeline and Cost Dataset

description: This dataset provides timeline dates, lengths, project characteristics, license characteristics, and costs of hydropower licensing and relicensing for 107 randomly selected hydropower projects that have been issued licenses since 1 October 2005. Projects included in this dataset were licensed but not necessarily constructed. These data were analyzed and presented in Chapters 3 (timeline data) and 5 (cost data) of the Levine et al. (2021) report
DOI: 10.21951/ornlhcmform1cost/1844097
title: ORNL Hydropower Cost Database Extract from FERC Form-1

description: The ORNL FERC Form 1 Hydropower Cost Database Extract is a cleaned and compiled version of the hydropower component of the Federal Energy Regulatory Commission’s (FERC) Electric Utility Annual Report, also known as Form-1. The database includes conventional and pumped storage hydropower plants owned by non-federal major utilities that submitted the Form 1 data from 1994-2020, representing about 22% of existing conventional hydropower capacity and 61% of pumped storage capacity. The database includes the escalation factors and describes the methods used to scale costs to a common data year, as well as tables of identifiers necessary to link the hydropower plants to two other relevant databases, the National Inventory of Dams and the ORNL Existing Hydropower Assets database. This database provides historical capital and operating costs for three schedules/classes defined in Form 1: Large Hydro, Pumped Storage Hydro, and Small Hydro. The Large Hydro and Pumped Storage Hydro data include cost items, such as land, structures, facilities, etc.
DOI: 10.21951/ornl_envflowreq/1878282
title: Environmental Flow Requirements from FERC Licenses Across the US

description: Environmental flow requirements included in Federal Energy Regulatory Commission (FERC) hydropower licenses are important for balancing natural properties and benefits of river ecosystems (e.g., healthy species, recreation, water supply, flood control) supporting hydropower production. In some cases, environmental flow requirements may limit operational flexibility given current operational schemes and make a hydropower plant less able to provide power to the electric grid on demand. Hydropower plants may gain some flexibility as hydropower scheduling time periods are made to be more responsive to the short-term needs of an energy grid increasingly reliant on intermittent renewables. However, many flow requirements focus on the daily, monthly, or seasonal flow fluctuations which matches the time scale of most paradigms linking flow alterations to the health of river ecosystems. This dataset seeks to provide a greater understanding of how flexibility in environmental requirements can be leveraged to create positive outcomes for both the power system and the environment.
It contains information on environmental flow requirements from the Protection, Mitigation, and Enhancement section of 50 randomly selected FERC licenses: 25 issued from 1998-2013 that were also included in the ORNL Mitigation Database (Schramm et al. 2015) and 25 issued from 2014-present.
The information on environmental flow requirements was extracted from the PM&E section of 50 randomly selected FERC licenses: 25 issued from 1998-2013 that were also included in the ORNL Mitigation Database (Schramm et al. 2015) and 25 issued from 2014-present. The flow requirements were then categorized into flow augmentation categories based on whether the license stated a specific water management purpose for the given requirement called augmentation categories (i.e., fisheries or habitat, recreation or boating, industry, and general or unspecified; Table B). Requirements were also grouped into flow type categories (e.g., minimum flow rate, maximum flow rate, ramping rate). Additional information related to flow requirements such as the augmentation time-period and whether the flow rate was continuous (i.e., condition must be present at all-times) or instantaneous (i.e., condition present at a point in time) was also extracted from the licenses. Some licenses had specific flow requirements based on whether the project was in a wet, dry, or normal water year. If that information was presented in the license, it was also included in the data set. The location within the project was noted, hereafter, zone, in the dataset for flow requirements relating to specific areas of hydropower projects (Dam, Powerhouse, Bypass Reach). Maximum discharge capacities of hydropower facilities were also extracted from both the Existing Hydropower Assets (EHA) data set and the National Inventory of Dams (NID) databases. Each facility was coded with project identification codes from the EHA dataset to facilitate cross-referencing between datasets.
DOI: 10.21951/gmlc_thermal_metric/1897392
title: Thermal Tolerance Metrics for Freshwater Fish, CONUS, Version 1

description: This dataset is a compilation of 13 thermal response metrics for 834 freshwater fish species across the conterminous United States (CONUS). The data were extracted from six published sources, many of which are compilations of data from other sources. The data were harmonized for comparison, and additional variables were added to summarize the metrics. The dataset is presented as a spreadsheet containing 17 sheets. The first sheet (datasets) describes the data sources. Other sheets describe the source and compilation variables in detail.
DOI: 10.21951/exclusion/1913706
title: Cost of Fish Exclusion Technologies for Hydropower

description: This dataset compiles data on the costs of environmental mitigations related to fish exclusion for 35 hydropower projects based on documents obtained from the U.S Federal Energy Regulatory Commission (FERC). Data for all measures and their associated project-specific information, including installed and hydraulic capacities, were manually extracted from environmental impact statements and/or environmental assessment (EIS/EA) documents. All data were consolidated in a comma-separated (.csv) file, referred to as the Cost of Fish Exclusion Technologies for Hydropower Database.
DOI: 10.21951/bcm2023/1968485
title: Updated Baseline Cost Model for Hydropower (2023)

description: The "Updated Baseline Cost Model (BCM) for Hydropower" is an empirical model for estimating the costs of US hydropower projects in six categories (Non-Powered Dam (NPD), New Stream Development (NSD), Canal/Conduit, Pumped Storage Hydro (PSH), Capacity Expansion, Generator Rewind). The model equations have been estimated with data on existing or planned projects obtained from various sources.
NOTE: This is a macro-enabled workbook, so Excel may block it on the first opening. In that case:
1. Save the workbook to a local directory
2. Right-click on the workbook in the local directory and select “Properties”
3. Then check “Unblock” at the bottom of the “General” tab.
DOI: 10.21951/hesc/1972462
title: Hydropower Energy Storage Capacity (HESC) Dataset

description: The Hydropower Energy Storage Capacity (HESC) Dataset catalogs characteristics that are relevant to evaluating reservoir storage and estimates of energy storage capacity based on varying levels of detail. Hydropower dams and reservoirs were included based on information from the National Inventory of Dams (NID; USACE, 2021) and Global Reservoir and Dam (GRanD v1.3) and Existing Hydropower Assets datasets. These data provide a foundation for understanding available resources at existing hydropower facilities and their potential to provide storage of energy and more flexible generation. Estimates of energy storage capacity include:
• Level 1 – nominal energy storage capacity based on maximum storage capacities and hydraulic head
• Level 2 – nominal energy storage capacity based on historical models or observations of reservoir volume and hydraulic head. These estimates are provided based on capacity from the entire historical period as well as monthly values.
• Level 3 – modeled energy generation based on volume-elevation relationships, historical storage, observed/modeled inflows, and hydraulic capacity of turbines and calculated both as overall and on a monthly basis.
• Level 4 – modeled energy generation incorporating information from Level 3 and operational constraints.
For facilities where installed capacity is known, there are also estimates for discharge duration (the length of time when a facility could provide generation at a given capacity).
DOI: 10.21951/conduit/1993154
title: US Hydropower Potential at National Conduits

description: The US Hydropower Potential at National Conduits dataset provides the results of a national assessment of various conduit hydropower potential for the year 2022. Hydropower potential and generation estimates are provided for various types of municipal, agricultural, and industrial applications across all 50 states. A total of 1.41 gigawatts of hydropower potential is estimated across the US. This dataset provides conduit hydropower estimates summarized at state resolution in Shapefile (*.shp) format and at county resolution in comma separated (*.csv) and *.shp format.
DOI: 10.21951/basin_relicensing/1997351
title: Basin-Scale Relicensing Opportunity

description: This dataset contains 1,261 hydropower facilities with associated Federal Energy Regulatory Commission (FERC) relicensing metrics. Anticipated FERC license renewal dates are summarized by river reach for observing areas of opportunities for basin-wide collaboration on environmental mitigations. Identifying rivers and basins with facilities that have similar anticipated Federal Energy Regulatory Commission (FERC) relicensing dates may be one potential indicator that multiple licensees within the same basin may be willing to collaborate on a basin-scale relicensing effort. The hydropower relicensing process requires long-term resource allocation by agencies, hydropower owner/operators, non-governmental organizations, and tribal, state, and federal governments. Basin-scale hydropower relicensing has begun to receive attention as a potential solution for reducing licensing timelines, costs, and uncertainty which can provide benefits to a broad spectrum of participants in the licensing process. This dataset contains one a data file in comma separated (*.csv) format, a data dictionary in *.csv format, and a user guide in *.pdf format. These data are also available as an interactive web map available at:
DOI: 10.21951/9505v3flow/2007926
title: CMIP6-based Multi-model Streamflow Projections over the Conterminous US

description: This dataset presents an ensemble of streamflow projections based on the hydroclimate projections dataset supporting the SECURE Water Act Section 9505 Assessment for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). The six-member General Climate Model (GCM) ensemble from the Coupled Models Intercomparison Project phase 6 (CMIP6) downscaled using statistical (i.e., DBCCA) and dynamical (i.e., RegCM) and bias-corrected using two meteorological reference observations (Daymet & Livneh) are driven through two calibrated hydrologic models (VIC & PRMS) to simulate projected future hydrologic responses. This leads to the production of an ensemble of hydroclimate projections, including total runoff (surface runoff and baseflow) for 1980–2019 baseline and 2020–2059 near-term future periods under multiple emission scenarios at 1/24° (~4 km) spatial resolution across the CONUS. The total runoff projections are routed through the Routing Application for Parallel computatIon of Discharge (RAPID) routing model to produce an ensemble of streamflow projections for both periods across 2.7 million NHDPlusV2 stream reaches in the CONUS.
DOI: 10.15468/dl.6nwgvq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.60331 20.65909,-105.49345 20.65909,-105.49345 20.76896,-105.60331 20.76896,-105.60331 20.65909))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corymorpha forbesii (Mayer, 1894)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036138-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21951/hydro_trends/2349418
title: Hydropower Capacity Factor Trends & Analytics for the United States

description: This data repository contains all code, input data, and data generated for Turner et al. (2024)—“Hydropower capacity factors trending down in the United States”. File descriptions:
– hydro-cf-trends-inputs.zip: Full set of input data used in this study, organized for direct entry into “/data” directory of hydro-cf-trends data processing pipeline. 
– hydro-cf-trends.zip: Full data processing pipeline, coded using the R {targets} framework. This is a snapshot release (v1.0) of the code repository stored at https://code.ornl.gov/turnersw/hydro-cf-trends/.
– hydro-cf-trends-results.zip: Provides all dam level results required to reproduce results and graphics in Turner et al. (2024). Dams are identified by the “complxID” (root of the hydropower plant ID in the Existing Hydropower Assets Database, inherited from HILARRI). Results include:
• dam_CF_trends.csv: Table of long-term trends in annualized capacity factors for 610 dams and modeled annualized capacity factors for 362 modeled dams (naturalized and assimilated flows).
• dam_annualized_CF_gen.csv: Annualized time series of the following variables for each of 610 hydropower dams with nameplate &gt; 5MW 
– Reported nameplate capacity (MW)
– Implied maximum annual generation (MWh)
– Reported net generation (MWh)
– Computed annual capacity factor 
– Modeled annual capacity factor (362 modeled plants only)
DOI: 10.15468/dl.j9dycy
title: Occurrence Download

description: A dataset containing 587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Great Backyard Bird Count, University of Guelph, Department of Environmental Biology, CMC Cincinnati Museum Center Invertebrate Paleontology, NMNH Extant Specimen Records (USNM, US), Triplehorn Insect Collection, The Ohio State University, Pl@ntNet automatically identified occurrences, CAS Entomology (ENT), MVZ Egg and Nest Collection (Arctos))",
 "Geometry POLYGON((-79.05733 42.88225,-79.04437 42.88225,-79.04437 42.89187,-79.05733 42.89187,-79.05733 42.88225))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 587 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036139-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25984/2441167
title: Airport and Heliport Setbacks

description: This dataset represents a first-order quantification of airport and heliport setback requirements based on the Federal Aviation Administration (FAA) 14 CFR Part 77.9. It defines the following FAA notice criteria that we use to create runway buffers. Runways longer than 3,200 feet receive a 20,000 foot buffer, runways less than 3,200 feet long receive a buffer of 10,000 feet, and heliports receive a buffer of 5,000 feet. A setback requirement is a minimum distance from an airport or heliport that an energy project may be developed. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.
DOI: 10.25984/2441168
title: Next Generation Weather Radar (NEXRAD) Setback (4-km)

description: The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents 4-kilometer setback requirements typically applied to wind energy development. A setback requirement is a minimum distance away that an energy project may be developed. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.
DOI: 10.25984/2441169
title: Next Generation Weather Radar (NEXRAD) Radar Line-of-Sight

description: The Next Generation Weather Radar (NEXRAD) system is a network of doppler radar operated jointly by the National Weather Service (NWS), the Federal Aviation Administration (FAA), and the U.S. Air Force. This dataset represents a line-of-sight for each radar station. Radar line-of-sight can become saturated with wind energy due to interference. For further details and citation, please refer to the publication linked below: Lopez, Anthony, Pavlo Pinchuk, Michael Gleason, Wesley Cole, Trieu Mai, Travis Williams, Owen Roberts, Marie Rivers, Mike Bannister, Sophie-Min Thomson, Gabe Zuckerman, and Brian Sergi. 2024. Solar Photovoltaics and Land-Based Wind Technical Potential and Supply Curves for the Contiguous United States: 2023 Edition. Golden, CO: National Renewable Energy Laboratory. NREL/TP-6A20-87843.