cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r3e2td
title: Occurrence Download

description: A dataset containing 1633107 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Physalis nicandroides, Desmodium orbiculare, Eriochlamys cupularis, Pterocaulon verbascifolium, Acantholimon akaydinii, Prasophyllum morganii, Nama demissa, Acantholimon anatolicum, Cerastium pedunculatum, Lupinus ehrenbergii, Agathelpis brevifolia, Cerastium glomeratum, Heteranthemis viscidehirta, Gentiana baeuerlenii, Prasophyllum gibbosum, Wolffia angusta, Brunsvigia gregaria, Gagea tenera, Iris acutiloba, Iris petrana, Lilaeopsis occidentalis, Lupinus arbutosocius, Cerastium inflatum, Cleome arabica, Corispermum marschallii, Prasophyllum collinum, Pinus lagunae, Pinus pinaster, Phleum alpinum, Utricularia prehensilis, Utricularia singeriana, Lasiosiphon wilmsii, Petrocoptis montserratii, Prasophyllum laxum, Iris wallisiae, Lupinus onustus, Acantholimon atropatanum, Acantholimon birandii, Acantholimon wiedemannii, Acer sempervirens, Cerastium moesiacum, Cerastium pyrenaicum, Cerastium rectum, Lupinus peirsonii, Gentiana fremontii, Gentiana gelida, Gentiana setigera, Eugenia inconspicua, Burchardia multiflora, Gagea durieui, Gagea polidorii, Iris masiae, Iris sprengeri, Lupinus gredensis, Lupinus guadalupensis, Maytenus phyllanthoides, Utricularia baliboongarnang, Lilium pomponium, Cerastium atlanticum, Cerastium gracile, Cheiridopsis purpurea, Cerastium scaposum, Cotyledon adscendens, Goldbachia torulosa, Gentiana clusii, Gentiana pyrenaica, Prasophyllum erythrocommum, Pinus sylvestris, Pinus murraybanksiana, Gagea pseudopeduncularis, Eustegia macropetala, Utricularia vulgaris, Utricularia magna, Janusia californica, Gentiana utriculosa, Eugenia crenularis, Rhanterium epapposum, Eucalyptus sparsifolia, Daphne sericea, Sison segetum, Aloe eileeniae, Eucalyptus alba, Eucalyptus albens, Micromeria kerneri, Micromeria preauxii, Micromeria sinaica, Sideritis ozturkii, Kniphofia baurii, Aloe falcata, Aloe glauca, Macarthuria vertex, Chaetanthus leptocarpoides, Delphinium glaucum, Perralderia garamantum, Andrachne maroccana, Eucalyptus cyclostoma, Eucalyptus erythronema, Eucalyptus fraxinoides, Eucalyptus gypsophila)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 1633107 records from 3548 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020826-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gcyhnkxr5c
title: Dataset of Interactive Threat Matrix–Driven System Dynamics for Assessing CO₂ Pipeline Risk and Resilience Policy Measures

description: Published dataset that are generated throughout the study titled, " Interactive Threat Matrix–Driven System Dynamics for Assessing CO₂ Pipeline Risk and Resilience Policy Measures".
Being an established leader in the carbon management sector with one seventh of world’s active carbon management projects, Canada plans to improvise on technologically focused approaches to grow it’s CO2 capture capacity from current 4.4 Mt per year to 16.3 Mt year by 2030 and scaling up by nearly 200 times by 2050 to reach the net-zero emission target. The published study has the potential to be developed into an interpretable quantitative risk assessment framework through further extensions.
DOI: 10.17632/gcyhnkxr5c.1
title: Dataset of Interactive Threat Matrix–Driven System Dynamics for Assessing CO₂ Pipeline Risk and Resilience Policy Measures

description: Published dataset that are generated throughout the study titled, " Interactive Threat Matrix–Driven System Dynamics for Assessing CO₂ Pipeline Risk and Resilience Policy Measures".
Being an established leader in the carbon management sector with one seventh of world’s active carbon management projects, Canada plans to improvise on technologically focused approaches to grow it’s CO2 capture capacity from current 4.4 Mt per year to 16.3 Mt year by 2030 and scaling up by nearly 200 times by 2050 to reach the net-zero emission target. The published study has the potential to be developed into an interpretable quantitative risk assessment framework through further extensions.
DOI: 10.17632/mk9z49drsx
title: ECMODE-D-25-01347R1(Replication)

description: README: Replication Package
Paper Title
Does Public Data Openness Facilitate Corporate ESG Performance? Evidence from China
Authors:
Hongyan Wang (School of Economics, Nankai University)
Guodong Huang (School of Economics and Trade, Hunan University)
Prof. Hui Wang (School of Economics and Trade, Hunan University)
Date: October 10, 2025
1. Overview 
This replication package provides all the publicly available data, code, and instructions required to reproduce the main results of the above-mentioned research paper. The package is designed to facilitate transparncy and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/mk9z49drsx.1
title: ECMODE-D-25-01347R1(Replication)

description: README: Replication Package
Paper Title
Does Public Data Openness Facilitate Corporate ESG Performance? Evidence from China
Authors:
Hongyan Wang (School of Economics, Nankai University)
Guodong Huang (School of Economics and Trade, Hunan University)
Prof. Hui Wang (School of Economics and Trade, Hunan University)
Date: October 10, 2025
1. Overview 
This replication package provides all the publicly available data, code, and instructions required to reproduce the main results of the above-mentioned research paper. The package is designed to facilitate transparncy and enable independent verification of all statistical findings reported in the study.
DOI: 10.15156/bio/sh1392107.10fu
title: SH1392107.10FU

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/sh1392110.10fu
title: SH1392110.10FU

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/sh1392111.10fu
title: SH1392111.10FU

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/sh1392113.10fu
title: SH1392113.10FU

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: 10.15468/dl.dqeqcv
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"MEX.7.17_2","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 104 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005995-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1392115.10fu
title: SH1392115.10FU

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/sh1392116.10fu
title: SH1392116.10FU

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/sh1392118.10fu
title: SH1392118.10FU

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/sh1392122.10fu
title: SH1392122.10FU

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/sh1392128.10fu
title: SH1392128.10FU

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/sh1392135.10fu
title: SH1392135.10FU

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: 10.15468/dl.8v7mg2
title: Occurrence Download

description: A dataset listing the 8965 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is CSIC-Real Jardín Botánico-Anthos. Sistema de Información de las Plantas de España"
 ]
}

 The dataset's 8965 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y544nc
title: Occurrence Download

description: A dataset containing 1256 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix integra Thunb.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1256 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026405-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h28swz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacampseros vanthielii G.Will."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026406-230224095556074/datasets/export for details.
DOI: 10.15468/dl.5gdyb4
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "Country is Australia",
 "TaxonKey is Chiloglottis diphylla R.Br.",
 "Year 1970-2003"
 ]
}

 The dataset includes 43 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012126-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/wa3k-0x90
title: Comparative transcriptomic heat stress responses data for native Australian Acacia species: RNAseq data part 1

description: To improve our understanding of heat tolerance across related species from diverse climates, we cultivated a selection of Acacia species in a controlled environment, using seed sourced from wild populations that occupy a wide range of Australian climates. After four months of growth in control temperature conditions (ca 24 °C day and 18 °C night) plants were exposed to a four-day heatwave (38 °C day and 26 °C night). Heatwave responses were quantified with coupled measurements of the transcriptome (gene expression) and PHT acclimation. Samples for transcriptomics were taken across three days: one day prior to heatwave (control), at the onset of heatwave conditions (Day 1) and at the end of the heatwave (Day 4). Accompanying measurements of PHT were taken the day prior and at day four using basal chlorophyll fluorescence.
DOI: 10.15468/dl.7u64j5
title: Occurrence Download

description: A dataset containing 3238 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sepia latimanus Quoy & Gaimard, 1832"
 ]
}

 The dataset includes 3238 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0088565-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kawjjh
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ancistrocladus likoko J.Léonard"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029432-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkw5aa
title: Occurrence Download

description: A dataset containing 1079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Concinnia martini Wells & Wellington, 1985)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1079 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026409-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nduzax
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium majus Vved."
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012135-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.