cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/tde2-et97
title: ICARUS Chamber Experiment: Ziemann_20160603_Methyl nitrite/Nitric oxide/5-Undecanol_Hydroxyl radical_DOS

description: Goals: Determine SOA yield of OH radical oxidation of the VOCSummary: Experiments were conducted in an 8.0 m^3 FEP Teflon environmental chamber in Boulder, CO, that was filled with clean, dry air [less than 5 ppb of hydrocarbons and less than 1% relative humidity (RH)] from two Aadco clean air systems and operated at ambient temperature (23 C) and pressure (630 Torr). The VOC was added to the chamber by evaporating a measured amount of the compound from a heated glass bulb into a stream of ultrahigh-purity (UHP) N2. Approximately 200 g/m^3 dioctyl sebacate (DOS) seed particles in UHP N2 were added from an evaporation-condensation apparatus. Known amounts of methyl nitrite and NO were prepared on a vacuum manifold using a calibrated glass bulb and absolute pressure gauge and then flushed into the chamber with UHP N2. Reactions were initiated by turning on blacklights that covered two walls of the chamber at 50% intensity (JNO2 = 0.37 per hour) for one hour. Photolysis of methyl nitrite created OH radicals with an average concentration of 4 x 107 molecules cm^-3, as determined from the measured decay of the VOC and estimated OH reaction rate constants. The VOC, methyl nitrite, and NO concentrations were 1, 5, and 5 ppm.Organization: Ziemann Lab Affiliation: University of Colorado, Boulder, Boulder, CO, USA Chamber: Janet (Chamber 1)Experiment Category: Gas phase chemical reaction, Photolysis, any phase, Aerosol formation Oxidant: Hydroxyl radical Reactants: Methyl nitrite, Nitric oxide, 5-Undecanol Reaction Type: Photooxidation Relative Humidity: less than1 Temperature: 23 Seed Name: DOS Pressure: 630
DOI: 10.15468/dl.gestjj
title: Occurrence Download

description: A dataset containing 28025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Sorbaria sorbifolia"
 ]
}

 The dataset includes 28025 records from 345 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034312-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yecujk
title: Occurrence Download

description: A dataset containing 2084 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acmispon wrightii"
 ]
}

 The dataset includes 2084 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034311-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jh5j32
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 142 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034317-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6jrz2
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034318-250717081556266/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.29627498
title: Data and Code for Governing the Green Transition: An Empirical Analysis of Sub-national Policy Effectiveness in China’s New Energy Vehicle Industry

description: Data and Code for Governing the Green Transition: An Empirical Analysis of Sub-national Policy Effectiveness in China’s New Energy Vehicle Industry
DOI: 10.6084/m9.figshare.29627498.v1
title: Data and Code for Governing the Green Transition: An Empirical Analysis of Sub-national Policy Effectiveness in China’s New Energy Vehicle Industry

description: Data and Code for Governing the Green Transition: An Empirical Analysis of Sub-national Policy Effectiveness in China’s New Energy Vehicle Industry
DOI: 10.15468/dl.chh9sx
title: Occurrence Download

description: A dataset containing 557 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Launea nudicaulis"
 ]
}

 The dataset includes 557 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034319-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fej7ku
title: Occurrence Download

description: A dataset containing 345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oncosiphon grandiflorus"
 ]
}

 The dataset includes 345 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034320-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62vuyc
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penstemon unilateralis"
 ]
}

 The dataset includes 279 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034321-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jwx5uj
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Penstemon unilateralis"
 ]
}

 The dataset includes 279 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034322-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmksgk
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is Herbario de la Facultad de Farmacia, Universidad Complutense, Madrid (MAF-Lich)",
 "TaxonKey is Punctelia rudecta"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034315-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2aebc7
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034324-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5m8xjh
title: Occurrence Download

description: A dataset containing 551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pluvialis apricaria)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 551 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034327-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2683m7
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.08897 -21.75414,26.11517 -21.75414,26.11517 -20.93934,25.08897 -20.93934,25.08897 -21.75414))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1191 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034331-250717081556266/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.29627456
title: <b>Effects of Influencer Content Characteristics and Credibility on Travel Decision Among Thai Generation Z Tourists</b>

description: Despite the growing importance of influencer marketing in tourism, research examining its impact in Thailand, remains limited. This study investigates the integrated effects of influencer content characteristics, namely content quality, appeal, and usefulness, and influencer attributes, including credibility, expertise, and fame, on the travel decision of Thai generation Z tourists. Using a structured questionnaire distributed to a representative generation Z sample, the research employs multivariate analyses, including regression and structural equation modeling, to assess the predictive power of both content and attributes. Results reveal that content usefulness is the strongest predictor of travel decisions, followed by content appeal, while content quality has a limited direct effect. Among influencer attributes, expertise and credibility are more influential than fame. Notably, gender does not significantly moderate these relationships. These findings advance the understanding of digital influence in tourism for marketers seeking to engage generation Z audiences in Thailand and similar contexts.
DOI: 10.6084/m9.figshare.29627456.v1
title: <b>Effects of Influencer Content Characteristics and Credibility on Travel Decision Among Thai Generation Z Tourists</b>

description: Despite the growing importance of influencer marketing in tourism, research examining its impact in Thailand, remains limited. This study investigates the integrated effects of influencer content characteristics, namely content quality, appeal, and usefulness, and influencer attributes, including credibility, expertise, and fame, on the travel decision of Thai generation Z tourists. Using a structured questionnaire distributed to a representative generation Z sample, the research employs multivariate analyses, including regression and structural equation modeling, to assess the predictive power of both content and attributes. Results reveal that content usefulness is the strongest predictor of travel decisions, followed by content appeal, while content quality has a limited direct effect. Among influencer attributes, expertise and credibility are more influential than fame. Notably, gender does not significantly moderate these relationships. These findings advance the understanding of digital influence in tourism for marketers seeking to engage generation Z audiences in Thailand and similar contexts.
DOI: 10.15468/dl.aur86r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pluvialis apricaria)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034328-250717081556266/datasets/export for details.
DOI: 10.15468/dl.579fmc
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 431 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034333-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k34vc7
title: Occurrence Download

description: A dataset containing 461336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bombus terrestris",
 "HasCoordinate is true"
 ]
}

 The dataset includes 461336 records from 1192 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034231-250717081556266/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.30318442
title: Forecast uploaded on October 9 regarding the performance of NVIDIA's stock ("Will NVIDIA stock be higher on October 16, 2025 than on October 9, 2025?")

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.6084/m9.figshare.30318442.v1
title: Forecast uploaded on October 9 regarding the performance of NVIDIA's stock ("Will NVIDIA stock be higher on October 16, 2025 than on October 9, 2025?")

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.15468/dl.b4surf
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnemyrtus scriptus",
 "HasCoordinate is True"
 ]
}

 The dataset includes 22 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008654-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0171987.10fu
title: SH0171987.10FU

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/sh0171988.10fu
title: SH0171988.10FU

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/sh0171989.10fu
title: SH0171989.10FU

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/sh0171990.10fu
title: SH0171990.10FU

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/sh0171991.10fu
title: SH0171991.10FU

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/sh0171992.10fu
title: SH0171992.10FU

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/sh0171993.10fu
title: SH0171993.10FU

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/sh0171994.10fu
title: SH0171994.10FU

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.