cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7282/t3rx9ffv
title: Probability-weighted ensembles of U.S. county-level climate projections for climate risk analysis: Surrogate/Model Mixed Ensemble (SMME) data set RCP45

description: Quantitative assessment of climate change risk requires a method for constructing probabilistic time series of changes in physical climate parameters. Here, we develop two such methods, Surrogate/Model Mixed Ensemble (SMME) and Monte Carlo Pattern/Residual (MCPR), and apply them to construct joint probability density functions (PDFs) of temperature and precipitation change over the 21st century for every county in the United States. Both methods produce likely (67% probability) temperature and precipitation projections consistent with the Intergovernmental Panel on Climate Change's interpretation of an equal-weighted Coupled Model Intercomparison Project 5 (CMIP5) ensemble, but also provide full PDFs that include tail estimates. For example, both methods indicate that, under representative concentration pathway (RCP) 8.5, there is a 5% chance that the contiguous United States could warm by at least 8°C. Variance decomposition of SMME and MCPR projections indicate that background variability dominates uncertainty in the early 21st century, while forcing-driven changes emerge in the second half of the 21st century. By separating CMIP5 projections into unforced and forced components using linear regression, these methods generate estimates of unforced variability from existing CMIP5 projections without requiring the computationally expensive use of multiple realizations of a single GCM.This data set is intended to accompany these studies:(1) T. Houser, R.E. Kopp, S.M. Hsiang, M. Delgado, A.S. Jina, K. Larsen,M. Mastrandrea, S. Mohan, R. Muir-Wood, D.J. Rasmussen, J. Rising,and P. Wilson. (2015). American Climate Prospectus: Economic Risksin the United States. Columbia University Press. ISBN: 978-0231174565(2) D. J. Rasmussen, M. Meinshausen, and R. E. Kopp. (2016). Probability-weighted ensembles of U.S. county-level climate projections for climaterisk analysis. Journal of Applied Meteorology and Climatology. DOI: 10.1175/JAMC-D-15-0302.1Please cite these works when using any results generated with these projections.Copyright (C) 2016 by ROBERT E. KOPP AND RHODIUM GROUP LLCThis dataset is made available under a non-Commercial Creative Commons License.https://creativecommons.org/licenses/by-nc/3.0/us/You are free to: 1. Share: copy and redistribute the material in any medium or format2. Remix, transform, and build upon the materialYou must:1. Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.2. You may not use the material for commercial purposes.No warranties are given.
DOI: 10.7282/t3445pv3
title: Probability-weighted ensembles of U.S. county-level climate projections for climate risk analysis: Surrogate/Model Mixed Ensemble (SMME) data set RCP60

description: Quantitative assessment of climate change risk requires a method for constructing probabilistic time series of changes in physical climate parameters. Here, we develop two such methods, Surrogate/Model Mixed Ensemble (SMME) and Monte Carlo Pattern/Residual (MCPR), and apply them to construct joint probability density functions (PDFs) of temperature and precipitation change over the 21st century for every county in the United States. Both methods produce likely (67% probability) temperature and precipitation projections consistent with the Intergovernmental Panel on Climate Change's interpretation of an equal-weighted Coupled Model Intercomparison Project 5 (CMIP5) ensemble, but also provide full PDFs that include tail estimates. For example, both methods indicate that, under representative concentration pathway (RCP) 8.5, there is a 5% chance that the contiguous United States could warm by at least 8°C. Variance decomposition of SMME and MCPR projections indicate that background variability dominates uncertainty in the early 21st century, while forcing-driven changes emerge in the second half of the 21st century. By separating CMIP5 projections into unforced and forced components using linear regression, these methods generate estimates of unforced variability from existing CMIP5 projections without requiring the computationally expensive use of multiple realizations of a single GCM.This data set is intended to accompany these studies:(1) T. Houser, R.E. Kopp, S.M. Hsiang, M. Delgado, A.S. Jina, K. Larsen,M. Mastrandrea, S. Mohan, R. Muir-Wood, D.J. Rasmussen, J. Rising,and P. Wilson. (2015). American Climate Prospectus: Economic Risksin the United States. Columbia University Press. ISBN: 978-0231174565(2) D. J. Rasmussen, M. Meinshausen, and R. E. Kopp. (2016). Probability-weighted ensembles of U.S. county-level climate projections for climaterisk analysis. Journal of Applied Meteorology and Climatology. DOI: 10.1175/JAMC-D-15-0302.1Please cite these works when using any results generated with these projections.Copyright (C) 2016 by ROBERT E. KOPP AND RHODIUM GROUP LLCThis dataset is made available under a non-Commercial Creative Commons License.https://creativecommons.org/licenses/by-nc/3.0/us/You are free to: 1. Share: copy and redistribute the material in any medium or format2. Remix, transform, and build upon the materialYou must:1. Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.2. You may not use the material for commercial purposes.No warranties are given.
DOI: 10.7282/t3rn3b7w
title: Probability-weighted ensembles of U.S. county-level climate projections for climate risk analysis: Surrogate/Model Mixed Ensemble (SMME) data set RCP85

description: Quantitative assessment of climate change risk requires a method for constructing probabilistic time series of changes in physical climate parameters. Here, we develop two such methods, Surrogate/Model Mixed Ensemble (SMME) and Monte Carlo Pattern/Residual (MCPR), and apply them to construct joint probability density functions (PDFs) of temperature and precipitation change over the 21st century for every county in the United States. Both methods produce likely (67% probability) temperature and precipitation projections consistent with the Intergovernmental Panel on Climate Change's interpretation of an equal-weighted Coupled Model Intercomparison Project 5 (CMIP5) ensemble, but also provide full PDFs that include tail estimates. For example, both methods indicate that, under representative concentration pathway (RCP) 8.5, there is a 5% chance that the contiguous United States could warm by at least 8°C. Variance decomposition of SMME and MCPR projections indicate that background variability dominates uncertainty in the early 21st century, while forcing-driven changes emerge in the second half of the 21st century. By separating CMIP5 projections into unforced and forced components using linear regression, these methods generate estimates of unforced variability from existing CMIP5 projections without requiring the computationally expensive use of multiple realizations of a single GCM.This data set is intended to accompany these studies:(1) T. Houser, R.E. Kopp, S.M. Hsiang, M. Delgado, A.S. Jina, K. Larsen,M. Mastrandrea, S. Mohan, R. Muir-Wood, D.J. Rasmussen, J. Rising,and P. Wilson. (2015). American Climate Prospectus: Economic Risksin the United States. Columbia University Press. ISBN: 978-0231174565(2) D. J. Rasmussen, M. Meinshausen, and R. E. Kopp. (2016). Probability-weighted ensembles of U.S. county-level climate projections for climaterisk analysis. Journal of Applied Meteorology and Climatology. DOI: 10.1175/JAMC-D-15-0302.1Please cite these works when using any results generated with these projections.Copyright (C) 2016 by ROBERT E. KOPP AND RHODIUM GROUP LLCThis dataset is made available under a non-Commercial Creative Commons License.https://creativecommons.org/licenses/by-nc/3.0/us/You are free to: 1. Share: copy and redistribute the material in any medium or format2. Remix, transform, and build upon the materialYou must:1. Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.2. You may not use the material for commercial purposes.No warranties are given.
DOI: 10.57702/hi6bu86z
title: Amazon Electronics

description: The dataset is used for click-through rate (CTR) prediction task in recommender systems.
DOI: 10.15468/dl.vghuj8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Climacoptera obtusifolia, Halimocnemis obtusifolia, Halogeton obtusifolius, Halogeton obtusifolius, Salsola heptapotamica, Salsola obtusifolia)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2024",
 "CoordinateUncertaintyInMeters is greater than or equal to 0",
 "CoordinateUncertaintyInMeters is less than or equal to 4500",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen, Material sample, Living Specimen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079762-251120083545085/datasets/export for details.
DOI: 10.57702/d7ow4ywv
title: Flickr1M

description: Flickr1M dataset contains SIFT descriptors used for reference construction for evaluating score curves in image search.
DOI: 10.57702/mlkxsg0e
title: CSPubSum

description: A new dataset for extractive summarization of computer science publications, consisting of over 10k documents
DOI: 10.15468/dl.t394k9
title: Occurrence Download

description: A dataset containing 11159 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish Species Occurrence Records for Uganda Mobilized from Observation Archives"
 ]
}

 The dataset includes 11159 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079760-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/h5btgu
title: eDNA for Vertebrate Monitoring in Rance Estuary

description: This dataset contains vertebrate occurrence data generated through environmental DNA (eDNA) metabarcoding from water samples collected at five stations along the estuarine gradient of the Rance estuary (Brittany, France) in February 2023. The sampling aimed to capture spatial variation in vertebrate communities from freshwater to marine-influenced zones. Data include taxonomic assignments derived from high-throughput sequencing and bioinformatics filtering.[This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
DOI: 10.57702/cm7tkk6f
title: COVID-19 pandemic dataset

description: The dataset is used to analyze the COVID-19 pandemic using the SIR model and Gumbel distribution.
DOI: 10.57702/4j83yhn3
title: COVID-19 Age Distribution and Hospitalization Data

description: The dataset used in this study is a comprehensive list of countries with their age distributions and COVID-19 data.
DOI: 10.57702/jo3lxyqr
title: Spanish

description: Spanish is a data set of 182 middle-school students practicing 409 Spanish exercises.
DOI: 10.60493/p3y47-r2134
title: Centro Novo do Maranhão, Brazil by Celso H. L. Silva-Junior - part of deadtrees.earth

description: This dataset was supported by funding from the National Council for Scientific and Technological Development (CNPq) under the project YBYRÁ-BR: Space-Time Quantification of CO2 Emissions and Removals by Brazilian Forests (CNPq Process 401741/2023-0). We also welcome users to invite us for collaboration.
DOI: 10.57702/ijr0jl7g
title: Mammalian Skulls

description: Synthetic dataset for 3D shape reconstruction from 2D images
DOI: 10.57702/12shq121
title: Robust Blind Source Separation by Soft Decision-Directed Non-Unitary Joint Diagonalization

description: Approximate joint diagonalization of a set of matrices provides a powerful framework for numerous statistical signal processing applications. The proposed algorithm is a novel soft decision-directed non-unitary joint diagonalization algorithm.
DOI: 10.60493/sm6xj-1zf29
title: Centro Novo do Maranhão, Brazil by Celso H. L. Silva-Junior - part of deadtrees.earth

description: This dataset was supported by funding from the National Council for Scientific and Technological Development (CNPq) under the project YBYRÁ-BR: Space-Time Quantification of CO2 Emissions and Removals by Brazilian Forests (CNPq Process 401741/2023-0). We also welcome users to invite us for collaboration.
DOI: 10.60493/aa906-edg35
title: Centro Novo do Maranhão, Brazil by Celso H. L. Silva-Junior - part of deadtrees.earth

description: This dataset was supported by funding from the National Council for Scientific and Technological Development (CNPq) under the project YBYRÁ-BR: Space-Time Quantification of CO2 Emissions and Removals by Brazilian Forests (CNPq Process 401741/2023-0). We also welcome users to invite us for collaboration.
DOI: 10.57702/kqptqsa1
title: MRMS dataset

description: The dataset used for benchmarking machine learning force fields (MLFF) and jet tagging.
DOI: 10.15468/dl.axttzw
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-9.6240234375 36.64726708476468, -9.6240234375 42.66304955904293, -5.9765625 42.66304955904293, -5.9765625 36.64726708476468, -9.6240234375 36.64726708476468))",
 "HasCoordinate is true",
 "TaxonKey is Potamogeton natans L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 72 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6g4f38
title: Occurrence Download

description: A dataset listing the 30308 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Mozambique"
 ]
}

 The dataset's 30308 records were derived from 684 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0314383-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5esrr
title: Occurrence Download

description: A dataset listing the 4728 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.6_1",
 "Geometry POLYGON((112.67 24.37,113.51 24.37,113.51 25,112.67 25,112.67 24.37))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1000-2024"
 ]
}

 The dataset's 4728 records were derived from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050612-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aycuf8
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia)",
 "BasisOfRecord is one of (Specimen)",
 "Year is greater than or equal to 1900",
 "TaxonKey is Trachemys scripta elegans (Wied, 1838)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015675-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29nwhc
title: Occurrence Download

description: A dataset containing 7939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyanocitta cristata (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 7939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0235416-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kt2j4s
title: Occurrence Download

description: A dataset containing 5083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate rounded"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Chiropterotriton chiropterus (Cope, 1863)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5083 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyjpe4
title: Occurrence Download

description: A dataset containing 1869 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammospermophilus harrisii (Audubon & Bachman, 1854)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1869 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252477-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ze6kk
title: Occurrence Download

description: A dataset containing 178371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinanthus minor L."
 ]
}

 The dataset includes 178371 records from 582 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0216388-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4fu5as
title: Occurrence Download

description: A dataset containing 6106 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Olea europaea subsp. sylvestris (Mill.) Rouy ex Hegi"
 ]
}

 The dataset includes 6106 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013980-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtnxp8
title: Occurrence Download

description: A dataset containing 10980 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fundulus similis (Baird & Girard, 1853)"
 ]
}

 The dataset includes 10980 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtwjd3
title: Occurrence Download

description: A dataset containing 3993 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "StateProvince is Bolivar Department",
 "StateProvince is Bolivar Dept.",
 "StateProvince is Bolivar"
 ]
 },
 "TaxonKey is Aves"
 ]
}

 The dataset includes 3993 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299873-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujkrwv
title: Occurrence Download

description: A dataset containing 1386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Geastrum saccatum Fr."
 ]
}

 The dataset includes 1386 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011930-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5bblq
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "TaxonKey is Gaidropsarus argentatus (Reinhardt, 1837)"
 ]
}

 The dataset includes 375 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011191-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x58kx
title: Occurrence Download

description: A dataset containing 21352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Periplaneta americana"
 ]
}

 The dataset includes 21352 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008080-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a558hs
title: Occurrence Download

description: A dataset containing 14503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cicer arietinum",
 "Year 1975-2024"
 ]
}

 The dataset includes 14503 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007665-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ge6h59
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandanus amaryllifolius",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cah55p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pandanus amaryllifolius",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007663-251009101135966/datasets/export for details.
DOI: 10.57967/hf/5086
title: The_True_History_of_Secrets_in_the_Ming_Dynasty
DOI: 10.15468/dl.tqhd6c
title: Occurrence Download

description: A dataset containing 5245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Themeda triandra Forssk.",
 "Continent is Africa"
 ]
}

 The dataset includes 5245 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005781-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.amv0fk
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017413-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.