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

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.56188 3.57105,-76.56122 3.57371,-76.5609 3.57702,-76.56124 3.58001,-76.5629 3.58299,-76.56423 3.58597,-76.56457 3.58895,-76.56358 3.5916,-76.56227 3.59525,-76.56063 3.59857,-76.55965 3.60222,-76.55867 3.60554,-76.55835 3.60886,-76.55836 3.61184,-76.55837 3.61516,-76.55863 3.61749,-76.5587 3.61814,-76.56036 3.62079,-76.56366 3.61979,-76.56376 3.6197,-76.56596 3.61779,-76.56794 3.6158,-76.56958 3.61347,-76.57188 3.61048,-76.5732 3.60749,-76.57418 3.60484,-76.57549 3.60185,-76.57647 3.59919,-76.57811 3.59554,-76.57877 3.59289,-76.58008 3.5899,-76.58139 3.58691,-76.58237 3.58393,-76.58335 3.58094,-76.58374 3.57915,-76.57785 3.57666,-76.56419 3.57016,-76.56395 3.56998,-76.56373 3.56983,-76.56322 3.56947,-76.56188 3.57105))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 224 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044349-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g54wm7
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-116.54742 57.79886,-111.72467 57.79886,-111.72467 59.36524,-116.54742 59.36524,-116.54742 57.79886))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bison C.H.Smith, 1827"
 ]
}

 The dataset includes 134 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044351-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfktbm
title: Occurrence Download

description: A dataset containing 28845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Munida Leach, 1820"
 ]
}

 The dataset includes 28845 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044350-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukwtug
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phellodendron amurense Rupr."
 ]
}

 The dataset includes 222 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044352-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14459/2024mp1761621
title: Raw dataset to "In-plane shear: Design of a new picture frame test configuration"

description: At the Chair of Timber Structures and Building Construction at the Technical University of Munich, 
research is being conducted into the development of a new test method for in-plane shear of timber elements. As part of this research, experiments were carried out with a new picture frame test configuration. This publication contains the raw data collected during the experiments. The results will be published at the WCTE 2025 in the paper "In-plane shear: Design of a new picture frame test configuration" by Fochler, Schumacher, Fricke, Aondio, Winter.
DOI: 10.15468/dl.23q9uh
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phoebe bournei (Hemsl.) Yen C.Yang"
 ]
}

 The dataset includes 196 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044354-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugqjgr
title: Occurrence Download

description: A dataset containing 763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gyrodactylus salaris Malmberg, 1957",
 "Country is Norway",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 763 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044355-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28071227
title: LUCAS 2009 TOPSOIL 数据集

description: 2009 年，欧盟委员会将定期土地利用/土地覆盖面积框架调查 （LUCAS） 扩展到对欧盟 （EU） 23 个成员国的表土主要特性进行采样和分析。这项表土调查代表了首次尝试基于标准采样和分析程序在欧盟建立一致的土壤覆盖空间数据库，所有土壤样本的分析都在一个实验室中进行。从主 LUCAS 网格中选择了大约 20,000 个点用于收集土壤样本。采用标准化采样程序收集约 0.5 公斤（0-20 厘米）的表土。样本被送往中心实验室进行物理和化学分析。
DOI: 10.6084/m9.figshare.28071266
title: TE.gff

description: trf.gff
DOI: 10.6084/m9.figshare.28071266.v1
title: TE.gff

description: trf.gff
DOI: 10.3886/e213822
title: Willingness to Pay for Environmental Protection

description: Prior studies have consistently shown that
individuals who are environmentally conscious and concerned are more likely to
be willing to pay higher taxes and willing to pay higher prices to protect the
environment than individuals who are not. None, however, are capable of
examining whether they are more likely to be willing to pay both higher taxes
and higher prices. Additionally, the studies rarely provide estimates of the
probabilities of being willing to pay, and hence offer policymakers no insight
into the actual extent of public support for higher taxes and/or higher prices
to protect the environment. This paper is intended to fill in these gaps. We
assume that an individual’s willingness to pay higher taxes and willingness to
pay higher prices are jointly determined by a common set of exogenous factors
and are statistically formulated as a bivariate ordered probit model, the
estimation of which allows us to examine not only marginal probabilities but
also joint probabilities which, up to this point, has not been possible. Reported
results indicate that for the United States there is currently little chance
that a majority of the public will support higher prices, a smaller chance of a
majority supporting higher taxes, and a still smaller chance that a majority
will support both higher taxes and higher prices to protect the environment.
This is true even for individuals who are most concerned about the environment,
adhere to pro-environmental beliefs and views, purposely engage in
pro-environmental behavior, and are affected directly by environmental
problems.
description: Weight recommended by GSS used in all analyses.
description: Nationally representative sample.
description: Adults 18+ years of age living in United States. Smallest Geographic Unit: US geographic region
DOI: 10.3886/e213822v1
title: Willingness to Pay for Environmental Protection

description: Prior studies have consistently shown that
individuals who are environmentally conscious and concerned are more likely to
be willing to pay higher taxes and willing to pay higher prices to protect the
environment than individuals who are not. None, however, are capable of
examining whether they are more likely to be willing to pay both higher taxes
and higher prices. Additionally, the studies rarely provide estimates of the
probabilities of being willing to pay, and hence offer policymakers no insight
into the actual extent of public support for higher taxes and/or higher prices
to protect the environment. This paper is intended to fill in these gaps. We
assume that an individual’s willingness to pay higher taxes and willingness to
pay higher prices are jointly determined by a common set of exogenous factors
and are statistically formulated as a bivariate ordered probit model, the
estimation of which allows us to examine not only marginal probabilities but
also joint probabilities which, up to this point, has not been possible. Reported
results indicate that for the United States there is currently little chance
that a majority of the public will support higher prices, a smaller chance of a
majority supporting higher taxes, and a still smaller chance that a majority
will support both higher taxes and higher prices to protect the environment.
This is true even for individuals who are most concerned about the environment,
adhere to pro-environmental beliefs and views, purposely engage in
pro-environmental behavior, and are affected directly by environmental
problems.
description: Weight recommended by GSS used in all analyses.
description: Nationally representative sample.
description: Adults 18+ years of age living in United States. Smallest Geographic Unit: US geographic region
DOI: 10.15468/dl.3fve6q
title: Occurrence Download

description: A dataset containing 4042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "TaxonKey is Cacyreus marshalli Butler, 1897",
 "Year 2016-2022"
 ]
}

 The dataset includes 4042 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022605-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9drr85
title: Occurrence Download

description: A dataset containing 331 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Craspedacusta sowerbii Lankester, 1880",
 "Year 2015-2022"
 ]
}

 The dataset includes 331 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122339-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5amhh
title: Occurrence Download

description: A dataset containing 18750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Lupinus polyphyllus Lindl.",
 "Year 2016-2022"
 ]
}

 The dataset includes 18750 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023829-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krbguc
title: Occurrence Download

description: A dataset containing 2818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Ludwigia peploides (Kunth) P.H.Raven",
 "Year 2016-2022"
 ]
}

 The dataset includes 2818 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207066-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q6rke
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Craspedacusta sowerbii Lankester, 1880",
 "Year 2023-2024"
 ]
}

 The dataset includes 73 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155713-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9sze9
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Ludwigia peploides (Kunth) P.H.Raven",
 "Year 2023-2024"
 ]
}

 The dataset includes 279 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171253-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh8apz
title: Occurrence Download

description: A dataset containing 19148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Lupinus polyphyllus Lindl.",
 "Year 2023-2024"
 ]
}

 The dataset includes 19148 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171140-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycjsyz
title: Occurrence Download

description: A dataset containing 2264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Cacyreus marshalli Butler, 1897",
 "Year 2023-2024"
 ]
}

 The dataset includes 2264 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0171001-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11588/data/fvculr
title: Ergänzungsdaten zu: Expandable database of verified quotations and allusions in Jerome

description: An unformatted summary describing the purpose, nature, and scope of the data collection, special characteristics of its contents, major subject areas covered, and what questions the Principal Investigators (PIs) attempted to answer when they conducted the study. A listing of major variables in the study is important here
DOI: 10.60656/1dddcc5d4e094fbb
title: Custom collection of categorize data from Lindenberg between 1 and 31 Mar 2015
DOI: 10.5281/zenodo.12827754
title: Dataset: Dynamo models with a Mercury-like magnetic offset dipole

description: Input and Output Data for reproducing figures and tables in the submitted publication Kolhey et al. (2024) "Dynamo models with a Mercury-like magnetic offset dipole".
DOI: 10.5281/zenodo.12827753
title: Dataset: Dynamo models with a Mercury-like magnetic offset dipole

description: Input and Output Data for reproducing figures and tables in the submitted publication Kolhey et al. (2024) "Dynamo models with a Mercury-like magnetic offset dipole".
DOI: 10.5281/zenodo.14536330
title: Dataset: Dynamo models with a Mercury-like magnetic offset dipole

description: Input and Output Data for reproducing figures and tables in the submitted publication Kolhey et al. (2024) "Dynamo models with a Mercury-like magnetic offset dipole".
DOI: 10.15468/dl.stts45
title: Occurrence Download

description: A dataset containing 1002965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Colombia, Brazil, Venezuela (Bolivarian Republic of), French Guiana, Ecuador, Argentina, Peru, Chile)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 1002965 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044353-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1164555.10fu
title: SH1164555.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164556.10fu
title: SH1164556.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164559.10fu
title: SH1164559.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164560.10fu
title: SH1164560.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164563.10fu
title: SH1164563.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164566.10fu
title: SH1164566.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1164568.10fu
title: SH1164568.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.