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

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((145.03449 -36.701379, 145.03449 -36.703625, 145.032244 -36.703625, 145.032244 -36.708117, 145.03449 -36.708117, 145.03449 -36.712608, 145.032244 -36.712608, 145.032244 -36.7171, 145.03449 -36.7171, 145.03449 -36.721591, 145.038982 -36.721591, 145.038982 -36.728329, 145.041228 -36.728329, 145.041228 -36.730575, 145.045719 -36.730575, 145.045719 -36.728329, 145.052457 -36.728329, 145.052457 -36.737312, 145.047965 -36.737312, 145.047965 -36.739558, 145.052457 -36.739558, 145.052457 -36.746295, 145.054702 -36.746295, 145.054702 -36.744049, 145.070423 -36.744049, 145.070423 -36.748541, 145.068177 -36.748541, 145.068177 -36.753033, 145.070423 -36.753033, 145.070423 -36.750787, 145.072669 -36.750787, 145.072669 -36.73282, 145.068177 -36.73282, 145.068177 -36.730575, 145.065931 -36.730575, 145.065931 -36.728329, 145.059194 -36.728329, 145.059194 -36.726083, 145.050211 -36.726083, 145.050211 -36.719346, 145.052457 -36.719346, 145.052457 -36.714854, 145.041228 -36.714854, 145.041228 -36.710362, 145.043473 -36.710362, 145.043473 -36.708117, 145.045719 -36.708117, 145.045719 -36.705871, 145.041228 -36.705871, 145.041228 -36.703625, 145.036736 -36.703625, 145.036736 -36.701379, 145.03449 -36.701379)), ((145.045719 -36.730575, 145.045719 -36.73282, 145.047965 -36.73282, 145.047965 -36.730575, 145.045719 -36.730575)))"
 ]
}

 The dataset includes 451 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075126-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15473/2432433
title: TEAMER: Results of Investigating Structural Design Concepts and Alternative Materials for a Wave Power System

description: Included here are materials from a study on the design of a three-body Wave Energy Converter (WEC) utilizing a heave plate, dual Power Take Offs (PTOs), and single point mooring. A material trade study has been conducted to evaluate the effects of introducing various metallic and fiber-reinforced polymer (FRP) elements to the design. The baseline design is C-Power's patented k2 Wave Power System (WPS). This Testing Expertise and Access for Marine Energy Research (TEAMER) Request for Technical Support (RFTS) 9 effort resulted in alternative designs of the WPS center member, the nacelle. The analysis resulting from this study will inform the design of a lightweight structure with lower manufacturing and operating costs that increases energy conversion and power-to-weight ratio of the device. The dataset contains several components: finite element analysis (FEA) data, hand calculations, and CAD models. FEA files includes those used for and generated by finite element simulations. Calculations include hand calculations performed using Microsoft Excel, which assess core laminate properties, buckling, and other structural aspects in accordance with risk management DNV-RP-C201 standards. CAD materials include Solidworks files for parts, assemblies, and drawings of the evaluated models.
DOI: 10.15468/dl.kxujbh
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Chiococca alba (L.) Hitchc."
 ]
}

 The dataset includes 290 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075128-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jw39dk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.403421 -36.744049, 144.403421 -36.746295, 144.410158 -36.746295, 144.410158 -36.744049, 144.403421 -36.744049))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075129-240626123714530/datasets/export for details.
DOI: 10.57931/1960548
title: Projections of Hourly Meteorology by County Based on the IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulations

description: This dataset contains 40 years (1980-2019) of historical hourly meteorology and 80 years (2020-2099) of projected hourly meteorology for each county in the conterminous United States. Details about the scenarios and variables included in this dataset are in the readme.pdf file. This dataset is derived from the IM3/HyperFACETS Thermodynamic Global Warming (TGW) simulations (https://doi.org/10.57931/1885756). More details on the TGW approach can be found at: https://tgw-data.msdlive.org/. If you use this dataset please also cite the raw TGW dataset (Jones, A. D., Rastogi, D., Vahmani, P., Stansfield, A., Reed, K., Thurber, T., Ullrich, P., & Rice, J. S. (2022). IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulation Datasets (v1.0.0) [Data set]. MSD-LIVE Data Repository. https://doi.org/10.57931/1885756). The four future climate scenarios in the TGW data are: rcp45cooler, rcp45hotter, rcp85cooler, and rcp85hotter. For the historical period and each of the four future scenarios the dataset has hourly estimates of the spatial-average of six meteorological variables for each county: Temperature, specific humidity, shortwave radiation, longwave radiation, and the U (east-west) and V (north-south) components of the wind speed. Times for each file are in the filename and all times are in Coordinated Universal Time (UTC). Counties are identified by their Federal Information Processing Standard (FIPS) code. The mapping between counties and FIPS codes is provided in the state_and_county_fips_codes.csv file. The code to go from the raw TGW data to county-level projections is available at: https://github.com/IMMM-SFA/im3components/tree/main/im3components/wrf_to_tell.
DOI: 10.57931/1960530
title: Projections of Hourly Meteorology by Balancing Authority Based on the IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulations

description: This dataset contains 40 years (1980-2019) of historical hourly meteorology and 80 years (2020-2099) of projected hourly meteorology for 54 Balancing Authorities (BAs) in the conterminous United States. Details about the scenarios and variables included in this dataset are in the readme.pdf file. This dataset is derived from the IM3/HyperFACETS Thermodynamic Global Warming (TGW) simulations (https://doi.org/10.57931/1885756). More details on the TGW approach can be found at: https://tgw-data.msdlive.org/. If you use this dataset please also cite the raw TGW dataset (Jones, A. D., Rastogi, D., Vahmani, P., Stansfield, A., Reed, K., Thurber, T., Ullrich, P., & Rice, J. S. (2022). IM3/HyperFACETS Thermodynamic Global Warming (TGW) Simulation Datasets (v1.0.0) [Data set]. MSD-LIVE Data Repository. https://doi.org/10.57931/1885756). To go from the TGW data to these BA-level aggregated data we first averaged the raw gridded data by county in the United States. That intermediate data step is also stored in MSD-LIVE (https://doi.org/10.57931/1960548). We then population-weight the county-level hourly data in order to create population-weighted meteorology time series for each BA. Historical populations are from the United States Census Bureau and the evolving future populations are based on Shared Socioeconomic Pathways (SSPs) 3 and 5. The four climate scenarios crossed with the two SSPs yield eight different future projections for each BA: rcp45cooler_ssp3, rcp45cooler_ssp5, rcp45hotter_ssp3, rcp45hotter_ssp5, rcp85cooler_ssp3, rcp85cooler_ssp5, rcp85hotterssp3, rcp85hotterssp5. For the historical period and each of the eight future scenarios the dataset has hourly estimates of the population-weighted average of five meteorological variables: Temperature, specific humidity, shortwave radiation, longwave radiation, and wind speed. All times are in Coordinated Universal Time (UTC). The code to go from the raw TGW data to county-level and then BA-level projections is available at: https://github.com/IMMM-SFA/im3components/tree/main/im3components/wrf_to_tell.
DOI: 10.57931/2428940
title: GCAM-USA: IM3 Phase 2 Official Simulations

description: Overview  GCAM-USA simulates 21st century energy-water-land interactions in global regions with sub-national detail in the United States (US). The IM3 project is focused on US multisector dynamics and has created eight GCAM-USA simulations by combining two Shared Socioeconomic Pathways (SSP3 and SSP5) with four high-resolution climate projections specific to the United States (see https://tgw-data.msdlive.org/). These climate projections include "hotter" and "cooler" variants for two Representative Concentration Pathways (RCP4.5 and RCP8.5). The resulting eight GCAM-USA simulations are named: rcp45cooler_ssp3 rcp45cooler_ssp5 rcp45hotter_ssp3 rcp45hotter_ssp5 rcp85cooler_ssp3 rcp85cooler_ssp5 rcp85hotter_ssp3 rcp85hotter_ssp5 Detailed Assumptions  The SSPs describe alternative socioeconomic futures and their implications for both the US and global environmental challenges. As implemented in GCAM-USA, the primary difference between SSP3 and SSP5 in the US is their population growth projections, with SSP3 foreseeing lower growth and SSP5 projecting higher growth. The four climate projections explore moderate (RCP4.5) and high (RCP8.5) greenhouse gas emission (GHG) trajectories, each with a hotter and cooler climate variation based on the range of global climate model simulations in CMIP6s. These four climate projections are used in precursor models to develop climate impacts on building heating and cooling degree-hours, water availability, and agricultural yields that are provided as inputs to GCAM-USA. GCAM-USA reproduces the RCP4.5 and RCP8.5 GHG emissions trajectories consistent with each climate projection, using dynamic carbon prices to achieve RCP4.5. When the four climate projections are combined with the two SSP projections, the resulting eight scenarios allow GCAM-USA to explore how a wide, yet plausible, range of climate and socioeconomic impacts affects the interconnected energy, water, and land systems across the contiguous United States. Technical Details IM3 uses a version of GCAM-USA v5.3 that has an enhanced electricity sector and an updated data system needed to represent regional to local scale dynamics.
DOI: 10.57931/2432465
title: Hourly Electricity Demand Projections for Eight Combined Climate and Socioeconomic Scenarios

description: This dataset contains 40 years (1980-2019) of simulated historical hourly electricity demand (i.e., loads) and 80 years (2020-2099) of projected hourly loads for 54 Balancing Authorities (BAs) and 48 states plus the District of Columbia. Details about the scenarios and variables included in this dataset are in the readme.pdf file. The two primary models that created the dataset are a version of the Global Change Analysis Model with detailed sectoral resolution over the United States (GCAM-USA) and the Total ELectricity Loads (TELL) model. Links to the model source code and workflow for deriving the dataset are provided in an accompanying meta-repository: https://github.com/IMMM-SFA/burleyson-etal_2024_applied_energy.  Projections are for four future climate scenarios that represent combinations of Representative Concentration Pathways (RCPs) 4.5 and 8.5 combined with two levels of climate model sensitivities: rcp45cooler, rcp45hotter, rcp85cooler, and rcp85hotter. The four climate scenarios are crossed with Shared Socioeconomic Pathways (SSPs) 3 and 5 to yield eight different future load projections: rcp45cooler_ssp3, rcp45cooler_ssp5, rcp45hotter_ssp3, rcp45hotter_ssp5, rcp85cooler_ssp3, rcp85cooler_ssp5, rcp85hotter_ssp3, and rcp85hotter_ssp5. The climate scenarios are from the IM3 Thermodynamic Global Warming (TGW) dataset which is linked below in the related metadata. The related metadata also contains links to a repository containing the raw GCAM-USA output files.
DOI: 10.15485/2432469
title: Pan-Arctic daily streamflow at 0.5-degree resolution

description: Data was derived using daily runoff from models participating in the Coupled Model Intercomparison Project, version 6 (CMIP6) that have been routed through the Model for Scale Adaptive River Transport (MOSART) routing model to represent streamflow at individual streamflow gage locations. Data from 750 streamflow gage locations are represented, which are indexed by gage id according to the metadata.csv file. Streamflow gage location sites were based on gage records downloaded from the United States Geological Survey (USGS), National Water Data (HYDAT) Archive from Canada, and the State Hydrological Institute of Russia. Data are available from 11 Earth System Models (ESMs) in total at a daily timestep with a duration of 1920-2099 (1850-2014 for E3SM only). The spatial domain of the modeled data is 0.5 degree resolution. Earth System Models and Units of mean daily streamflow are presented in cubic meters per second (cms). Data files consist of 11 Earth System Model mean daily streamflow output per gage location in .csv format, 1 metadata file in .csv format and 1 Readme file in .docx format (13 files in total). These data were used to benchmark CMIP6 modeled representations of streamflow against gage records.
DOI: 10.15468/dl.vvx4bc
title: Occurrence Download

description: A dataset containing 544 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.580839 -36.744049, 144.580839 -36.748541, 144.583085 -36.748541, 144.583085 -36.750787, 144.58533 -36.750787, 144.58533 -36.744049, 144.580839 -36.744049))"
 ]
}

 The dataset includes 544 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075131-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2tq57v
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.782961 -36.744049, 144.782961 -36.746295, 144.785207 -36.746295, 144.785207 -36.744049, 144.782961 -36.744049))"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075133-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5hrrd
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Dufourea Lepeletier, 1841"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075134-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjwgpk
title: Occurrence Download

description: A dataset containing 69905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Brunei Darussalam, Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Philippines, Singapore, Thailand, Viet Nam)",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arachnida"
 ]
}

 The dataset includes 69905 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075132-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqrfq2
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((143.188443 -36.712608, 143.188443 -36.714854, 143.186198 -36.714854, 143.186198 -36.7171, 143.183952 -36.7171, 143.183952 -36.723837, 143.186198 -36.723837, 143.186198 -36.735066, 143.183952 -36.735066, 143.183952 -36.739558, 143.181706 -36.739558, 143.181706 -36.746295, 143.17946 -36.746295, 143.17946 -36.755278, 143.177214 -36.755278, 143.177214 -36.757524, 143.186198 -36.757524, 143.186198 -36.755278, 143.195181 -36.755278, 143.195181 -36.753033, 143.192935 -36.753033, 143.192935 -36.748541, 143.190689 -36.748541, 143.190689 -36.737312, 143.197427 -36.737312, 143.197427 -36.73282, 143.201918 -36.73282, 143.201918 -36.730575, 143.208656 -36.730575, 143.208656 -36.737312, 143.215393 -36.737312, 143.215393 -36.730575, 143.213147 -36.730575, 143.213147 -36.728329, 143.20641 -36.728329, 143.20641 -36.723837, 143.199672 -36.723837, 143.199672 -36.721591, 143.192935 -36.721591, 143.192935 -36.714854, 143.197427 -36.714854, 143.197427 -36.712608, 143.188443 -36.712608)), ((143.192935 -36.748541, 143.197427 -36.748541, 143.197427 -36.753033, 143.20641 -36.753033, 143.20641 -36.748541, 143.213147 -36.748541, 143.213147 -36.744049, 143.20641 -36.744049, 143.20641 -36.737312, 143.197427 -36.737312, 143.197427 -36.739558, 143.201918 -36.739558, 143.201918 -36.744049, 143.197427 -36.744049, 143.197427 -36.746295, 143.192935 -36.746295, 143.192935 -36.748541)))"
 ]
}

 The dataset includes 50 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075135-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtmmbc
title: Occurrence Download

description: A dataset listing the 900930 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Plantae",
 "Year 1800-2024"
 ]
}

 The dataset's 900930 records were derived from 2484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075125-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5qe3z
title: Occurrence Download

description: A dataset containing 15663 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Androsace alpina"
 ]
}

 The dataset includes 15663 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069346-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkydmv
title: Occurrence Download

description: A dataset containing 8081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.9828 49.49298,6.00641 49.49298,6.00641 49.51298,5.9828 49.51298,5.9828 49.49298))",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 8081 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069347-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.231cq6
title: Projections of 21st Century Sea-Level Fall Along Coastal Greenland

description: The Greenland Ice Sheet will significantly contribute to global mean sea-level rise this century. However, glacial isostatic adjustment is expected to cause regional sea-level fall around Greenland as the land rebounds and the gravitational pull of the shrinking ice sheet decreases. A fall in local sea level has implications for Greenlandic communities whose economy, near-shore infrastructure, and food security are vulnerable to coastal changes, and for the dynamics of marine-terminating glaciers. In this study, we use a glacial isostatic model paired with sea-level and vertical land motion observations to predict future sea-level change in this region. We find that local sea level will fall around the island by 2100 CE (relative to 2017 CE) reaching a median value and likely range (17th-83rd percentile) of −0.9 m [−1.2 m to −0.66 m] and −2.5 m [−3.8 m to −1.7 m] for Representative Concentration Pathways 2.6 and 8.5, respectively, with viscous deformation contributing 20–40% of the predicted local sea-level signal associated with future ice change.
DOI: 10.15468/dl.uyau5f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alauda arvensis arvensis, Alchemilla, Sturnus vulgaris vulgaris, Triturus cristatus, Zootoca vivipara)",
 "Geometry POINT (-7.55716 49.76681)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069348-251120083545085/datasets/export for details.
DOI: 10.48322/fwyw-zm37
title: STEREO-A Carrington Maps for the SECCHI Cor1 Telescope

description: Synoptic (or Carrington) Maps comprise an efficient method to summarize both short term and long term coronal evolution. This resource contains East and West limb maps from the Cor1 and Cor2 coronagraphs, East(West) limb maps for HI1/2-A (HI1/2-B) imagers, and central meridian maps from the EUVI telescope. Maps are available for each Carrington Rotation since the beginning of the STEREO mission. The maps demonstrate the evolution of the corona from a relatively simple, two-sectored structure to an increasingly complex multi-sectored structure. Distortions and discontinuities in the streamer belt visible in the limb maps are associated with active regions on the sun, the shape of the current sheet, and coronal mass ejections. Meridian maps for EUVI illustrate the corresponding structures and long-term changes in the lower atmosphere.
DOI: 10.48322/9fer-5m90
title: STEREO-A/SECCHI/Cor1 FITS data

description: The COR1 telescope is the inner coronagraph of the Sun Earth Connection Coronal and Heliospheric Investigation (SECCHI) instrument suite aboard the twin Solar Terrestrial Relations Observatory (STEREO) spacecraft. Like all coronagraphs, COR1 is designed to measure the weak light from the solar corona in the presence of scattered light from the much brighter solar photosphere. It designed to observe the white light corona from 1.4 to 4 solar radii.
DOI: 10.48322/hb3q-pk89
title: STEREO-A Carrington Maps for the SECCHI Cor2 Telescope

description: Synoptic (or Carrington) Maps comprise an efficient method to summarize both short term and long term coronal evolution. This resource contains East and West limb maps from the Cor1 and Cor2 coronagraphs, East(West) limb maps for HI1/2-A (HI1/2-B) imagers, and central meridian maps from the EUVI telescope. Maps are available for each Carrington Rotation since the beginning of the STEREO mission. The maps demonstrate the evolution of the corona from a relatively simple, two-sectored structure to an increasingly complex multi-sectored structure. Distortions and discontinuities in the streamer belt visible in the limb maps are associated with active regions on the sun, the shape of the current sheet, and coronal mass ejections. Meridian maps for EUVI illustrate the corresponding structures and long-term changes in the lower atmosphere.
DOI: 10.48322/qfy4-7q03
title: STEREO-A/SECCHI/Cor2 FITS data

description: Cor2 is one of the coronagraphs aboard the STEREO-A spacecraft. It is part of the SECCHI instrument suite. It observes the off-limb corona between 2.5-15 solar radii in visible light. It acquires both total and polarized brightness images.