cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0215685.10fu
title: SH0215685.10FU

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/sh0215686.10fu
title: SH0215686.10FU

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/sh0215687.10fu
title: SH0215687.10FU

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/sh0215688.10fu
title: SH0215688.10FU

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/sh0215689.10fu
title: SH0215689.10FU

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/sh0215690.10fu
title: SH0215690.10FU

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/sh0215691.10fu
title: SH0215691.10FU

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/sh0215692.10fu
title: SH0215692.10FU

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/sh0215693.10fu
title: SH0215693.10FU

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/sh0215694.10fu
title: SH0215694.10FU

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.3fzyq9
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paspalum quadrifarium)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 443 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072704-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr65uj
title: Occurrence Download

description: A dataset containing 2945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paspalum scrobiculatum)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2945 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072705-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s5y3pq
title: Occurrence Download

description: A dataset containing 8058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paspalum urvillei)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8058 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072706-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbvyde
title: Occurrence Download

description: A dataset containing 1269094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coereba flaveola",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1269094 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072695-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rq6qys
title: Occurrence Download

description: A dataset containing 2298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllostachys aurea)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2298 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072708-251120083545085/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.30995461
title: Genome annotation of <i>Tomicus yunnanensis</i>

description: Genome annotation of the Yunnan shoot borer, <i>Tomicus yunnanensis</i>.
DOI: 10.6084/m9.figshare.30995461.v1
title: Genome annotation of <i>Tomicus yunnanensis</i>

description: Genome annotation of the Yunnan shoot borer, <i>Tomicus yunnanensis</i>.
DOI: 10.6084/m9.figshare.30995518
title: Date of TH-driven virulence via metabolic and antioxidant coupling

description: <b>The hemolysin (TH) in </b><b>Vibrio mimicus</b><b> reprograms central metabolism and couples it to oxidative stress defense through iron acquisition to drive virulence</b>
DOI: 10.6084/m9.figshare.30995518.v1
title: Date of TH-driven virulence via metabolic and antioxidant coupling

description: <b>The hemolysin (TH) in </b><b>Vibrio mimicus</b><b> reprograms central metabolism and couples it to oxidative stress defense through iron acquisition to drive virulence</b>
DOI: 10.5281/zenodo.17796722
title: Data for "Gravity Currents Over Wavy Beds: Reconciling Dynamics Through an Overlooked Mechanism"

description: The files sequentially contain the plotting data for Figure 1 through Figure 4.The txt file explains the processing method for the data files.
DOI: 10.5281/zenodo.17796723
title: Data for "Gravity Currents Over Wavy Beds: Reconciling Dynamics Through an Overlooked Mechanism"

description: The files sequentially contain the plotting data for Figure 1 through Figure 4.The txt file explains the processing method for the data files.
DOI: 10.5281/zenodo.18141307
title: Umfrage - Diversitätsdefizit in der Zivilgerichtsbarkeit
DOI: 10.5281/zenodo.18144843
title: Hypno-questioning technique: A questioning strategy to uncover witness honesty in Indonesian courtroom discourse

description: This dataset contains analytically reconstructed courtroom interaction excerpts illustrating hypno-questioning techniques employed by attorneys when examining suspect witnesses and fact witnesses in Indonesian criminal trials. The dataset is derived from systematic qualitative analysis grounded in Relevance Theory and hypnotic language patterns, focusing on how questioning strategies guide, constrain, and shape witness responses during courtroom interaction. 

The data comprise reconstructed excerpts from criminal cases adjudicated in three Indonesian district courts: Pengadilan Negeri Bantul (PN-BTL), Pengadilan Negeri Yogyakarta (PN-YK), and Pengadilan Negeri Sleman (PN-SLM). To ensure ethical compliance and confidentiality, all excerpts are analytically reconstructed rather than verbatim transcripts, while preserving interactional logic, pragmatic force, and institutional norms characteristic of Indonesian courtroom discourse. 

The dataset includes two witness categories: suspect witnesses and fact witnesses. For suspect witnesses, the dataset documents nine types of hypno-questioning techniques, including Presupposition, Embedded Command, Mental Imagery, Soft Suggestion, State Elicitation, Commitment Framing, Temporal Framing, Perspective Shift, and Double Bind. For fact witnesses, the same set of techniques is represented, reflecting differences in distribution and interactional function across witness roles. 

Each data entry consists of bilingual representations (Indonesian as the source language and English as the target language), accompanied by metadata specifying court location, case type, time stamp (minutes and seconds), and technique code (HQ1–HQ9). Case types are also presented bilingually to facilitate interpretability for international audiences. 

This dataset serves as the empirical foundation for the associated journal article and is intended to support transparency, replicability, and comparative discourse analysis in legal linguistics, forensic pragmatics, and courtroom interaction research.
DOI: 10.5281/zenodo.18144842
title: Hypno-questioning technique: A questioning strategy to uncover witness honesty in Indonesian courtroom discourse

description: This dataset contains analytically reconstructed courtroom interaction excerpts illustrating hypno-questioning techniques employed by attorneys when examining suspect witnesses and fact witnesses in Indonesian criminal trials. The dataset is derived from systematic qualitative analysis grounded in Relevance Theory and hypnotic language patterns, focusing on how questioning strategies guide, constrain, and shape witness responses during courtroom interaction. 

The data comprise reconstructed excerpts from criminal cases adjudicated in three Indonesian district courts: Pengadilan Negeri Bantul (PN-BTL), Pengadilan Negeri Yogyakarta (PN-YK), and Pengadilan Negeri Sleman (PN-SLM). To ensure ethical compliance and confidentiality, all excerpts are analytically reconstructed rather than verbatim transcripts, while preserving interactional logic, pragmatic force, and institutional norms characteristic of Indonesian courtroom discourse. 

The dataset includes two witness categories: suspect witnesses and fact witnesses. For suspect witnesses, the dataset documents nine types of hypno-questioning techniques, including Presupposition, Embedded Command, Mental Imagery, Soft Suggestion, State Elicitation, Commitment Framing, Temporal Framing, Perspective Shift, and Double Bind. For fact witnesses, the same set of techniques is represented, reflecting differences in distribution and interactional function across witness roles. 

Each data entry consists of bilingual representations (Indonesian as the source language and English as the target language), accompanied by metadata specifying court location, case type, time stamp (minutes and seconds), and technique code (HQ1–HQ9). Case types are also presented bilingually to facilitate interpretability for international audiences. 

This dataset serves as the empirical foundation for the associated journal article and is intended to support transparency, replicability, and comparative discourse analysis in legal linguistics, forensic pragmatics, and courtroom interaction research.
DOI: 10.15468/dl.uhavz4
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caymanostellidae"
 ]
}

 The dataset includes 233 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072712-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr9752
title: Occurrence Download

description: A dataset containing 426786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poa annua)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 426786 records from 2888 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072709-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkf6dc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((114.31386026434531 22.443786611069175,114.34467196007093 22.443786611069175,114.34467196007093 22.474598306794785,114.31386026434531 22.474598306794785,114.31386026434531 22.443786611069175))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lumnitzera racemosa Willd."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095191-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb9ydn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neobola nilotica Werner, 1919"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0337927-210914110416597/datasets/export for details.
DOI: 10.5517/ccdc.csd.cc273ty4
title: CCDC 2059266: Experimental Crystal Structure Determination

description: Related Article: Qun Cai, Meng-Jie Si, Xin-Ru Shi, Meng Liao, Fa-Chuang Liu, Min Wang, Ke-Xin Li, Yong-Ting Chen, An-Xin Wu|2024|Org.Chem.Front.|11|2528|doi:10.1039/D4QO00049H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27yg2r
title: CCDC 2083884: Experimental Crystal Structure Determination

description: Related Article: Xiaoli Huang, Cui Yi, Ruji Xiong, Meiqi Bai, Yuhai Tang, Silong Xu, Yang Li|2024|Org.Chem.Front.|11|2572|doi:10.1039/D4QO00105B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.