cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.exe67m
title: Occurrence Download

description: A dataset containing 11820 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptodactylus melanonotus (Hallowell, 1861)"
 ]
}

 The dataset includes 11820 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123052-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrkvmt
title: Occurrence Download

description: A dataset containing 509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capsicum baccatum L.",
 "HasCoordinate is true",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Human Observation, Specimen, Unknown evidence)"
 ]
}

 The dataset includes 509 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048134-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdfkqy
title: Occurrence Download

description: A dataset containing 1445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dictyosphaeria versluysii Weber Bosse"
 ]
}

 The dataset includes 1445 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139614-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m6ade
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lexcenium greenensis Serov & Wilson, 1999"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123054-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w32qva
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Spirobolida"
 ]
}

 The dataset includes 245 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240286-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ep5jm6
title: Occurrence Download

description: A dataset containing 3075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Benin",
 "OccurrenceStatus is Present",
 "TaxonKey is Bridelia ferruginea Benth."
 ]
}

 The dataset includes 3075 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0264441-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0162081.10fu
title: SH0162081.10FU

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/sh0162082.10fu
title: SH0162082.10FU

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/sh0162083.10fu
title: SH0162083.10FU

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.jqxvbq
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Chloridops kona [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001072-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18195501
title: QKD-Forensic-Dataset: Large Dataset Release Version 2.0

description: This dataset presents Version 2.0 of the QKD-Forensic Dataset, a large-scale multi-modal temporal dataset designed for cybersecurity and digital forensic research in quantum key distribution (QKD) systems.  The dataset contains 200,000 time-windowed samples derived from synchronized quantum-layer signals, classical communication behavior, and system level operational indicators. The dataset captures both normal operations and multiple adversarial scenarios.  The system captures both normal operation and multiple adversarial scenarios that are relevant to practical QKD deployments.

Version 2.0 extends the initial release by introducing higher temporal resolution, richer feature representations, structured scenario labeling, and improved validation coverage. The dataset supports machine learning, statistical analysis, and forensic investigation of attack behaviors while remaining protocol-agnostic.

This release does not claim bit-level regeneration of the published dataset.  Instead, it provides the official curated dataset along with transparent reference scripts that document the modeling and data construction process.

The dataset is intended strictly for defensive, academic, and research purposes.
DOI: 10.15156/bio/sh0162084.10fu
title: SH0162084.10FU

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: 10.5281/zenodo.18195500
title: QKD-Forensic-Dataset: Large Dataset Release Version 2.0

description: This dataset presents Version 2.0 of the QKD-Forensic Dataset, a large-scale multi-modal temporal dataset designed for cybersecurity and digital forensic research in quantum key distribution (QKD) systems.  The dataset contains 200,000 time-windowed samples derived from synchronized quantum-layer signals, classical communication behavior, and system level operational indicators. The dataset captures both normal operations and multiple adversarial scenarios.  The system captures both normal operation and multiple adversarial scenarios that are relevant to practical QKD deployments.

Version 2.0 extends the initial release by introducing higher temporal resolution, richer feature representations, structured scenario labeling, and improved validation coverage. The dataset supports machine learning, statistical analysis, and forensic investigation of attack behaviors while remaining protocol-agnostic.

This release does not claim bit-level regeneration of the published dataset.  Instead, it provides the official curated dataset along with transparent reference scripts that document the modeling and data construction process.

The dataset is intended strictly for defensive, academic, and research purposes.
DOI: 10.15156/bio/sh0162085.10fu
title: SH0162085.10FU

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/sh0162086.10fu
title: SH0162086.10FU

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: 10.5281/zenodo.18196168
title: Raw data supporting the results of Leaf Extracts of Coffea racemosa Inhibit "Trypsin Activity and Affect Larval Development in Spodoptera frugiperda and Diatraea saccharalis"

description: Leaf extracts of Coffea racemosa inhibit digestive trypsins and impair the development of two major lepidopteran pests, Spodoptera frugiperda and Diatraea saccharalis. While both species showed significant enzymatic inhibition, biological responses differed markedly. D. saccharalis exhibited high mortality, whereas S. frugiperda showed reduced growth and prolonged development. Fractionation revealed that low-molecular-weight, non-protein compounds are the main drivers of insecticidal activity, highlighting C. racemosa as a promising source of bioactive metabolites for pest management.
DOI: 10.15156/bio/sh0162087.10fu
title: SH0162087.10FU

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: 10.5281/zenodo.18196167
title: Raw data supporting the results of Leaf Extracts of Coffea racemosa Inhibit "Trypsin Activity and Affect Larval Development in Spodoptera frugiperda and Diatraea saccharalis"

description: Leaf extracts of Coffea racemosa inhibit digestive trypsins and impair the development of two major lepidopteran pests, Spodoptera frugiperda and Diatraea saccharalis. While both species showed significant enzymatic inhibition, biological responses differed markedly. D. saccharalis exhibited high mortality, whereas S. frugiperda showed reduced growth and prolonged development. Fractionation revealed that low-molecular-weight, non-protein compounds are the main drivers of insecticidal activity, highlighting C. racemosa as a promising source of bioactive metabolites for pest management.
DOI: 10.15156/bio/sh0162088.10fu
title: SH0162088.10FU

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/sh0162089.10fu
title: SH0162089.10FU

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: 10.5281/zenodo.17535651
title: RESPOND WP2.2 Legal Frameworks Dataset of the Report "Political Graft in Europe on the Loose: Anti-Corruption Legal Frameworks in Comparative Historical Perspective"
title: 9 catalogues of legal regulations prepared as part of RESPOND work package 2.2.  focused on the review and assessment of legislation related to political finance, lobbying, conflict-of-interest/revolving doors, media and cross-border practices of political corruption in Sweden, the Netherlands, the UK, France, Italy, Hungary, Bulgaria, Serbia and Ukraine

description: The dataset contains tables on legal regulations  on conflict-of-interest/revolving doors, political financing, lobbying activities, and media capture of nine states (Sweden, the Netherlands, the UK, France, Italy, Hungary, Bulgaria, Serbia and Ukraine) in the context of the RESPOND task related to the review and assessment of regulations on political finance, lobbying, conflict-of-interest/revolving doors, and media capture and cross-border practices of political corruption. 

 The dataset provides an overview of the recent practices and development of the process of creation and evolution of regulatory frameworks related to domestic and cross-border practices of political corruption in the nine selected countries under the auspice of the RESPOND project: Sweden, the Netherlands, UK, France, Italy, Hungary, Bulgaria, Serbia, and Ukraine. 

 The table represents a legal review and description of existing legal framework in the respective states such as presence of relevant laws, national strategies and codes of conduct on political finance/lobbying/revolving doors/media ownership and timeline of legal adoption. The table includes the name of legislation and year of adoption of the legal regulation, the scope and target group/individual of the regulation, the oversight and enforcement bodies responsible for monitoring, verification and evaluation of the respective regulation, and the envisages sanctions for non-compliance and breaches of the regulations with respect to the four types of political corruption: political finance, lobbying, revolving doors, and media.
DOI: 10.15156/bio/sh0162090.10fu
title: SH0162090.10FU

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: 10.5281/zenodo.17535652
title: RESPOND WP2.2 Legal Frameworks Dataset of the Report "Political Graft in Europe on the Loose: Anti-Corruption Legal Frameworks in Comparative Historical Perspective"
title: 9 catalogues of legal regulations prepared as part of RESPOND work package 2.2.  focused on the review and assessment of legislation related to political finance, lobbying, conflict-of-interest/revolving doors, media and cross-border practices of political corruption in Sweden, the Netherlands, the UK, France, Italy, Hungary, Bulgaria, Serbia and Ukraine

description: The dataset contains tables on legal regulations  on conflict-of-interest/revolving doors, political financing, lobbying activities, and media capture of nine states (Sweden, the Netherlands, the UK, France, Italy, Hungary, Bulgaria, Serbia and Ukraine) in the context of the RESPOND task related to the review and assessment of regulations on political finance, lobbying, conflict-of-interest/revolving doors, and media capture and cross-border practices of political corruption. 

 The dataset provides an overview of the recent practices and development of the process of creation and evolution of regulatory frameworks related to domestic and cross-border practices of political corruption in the nine selected countries under the auspice of the RESPOND project: Sweden, the Netherlands, UK, France, Italy, Hungary, Bulgaria, Serbia, and Ukraine. 

 The table represents a legal review and description of existing legal framework in the respective states such as presence of relevant laws, national strategies and codes of conduct on political finance/lobbying/revolving doors/media ownership and timeline of legal adoption. The table includes the name of legislation and year of adoption of the legal regulation, the scope and target group/individual of the regulation, the oversight and enforcement bodies responsible for monitoring, verification and evaluation of the respective regulation, and the envisages sanctions for non-compliance and breaches of the regulations with respect to the four types of political corruption: political finance, lobbying, revolving doors, and media.