cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1390871.10fu
title: SH1390871.10FU

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/sh1390873.10fu
title: SH1390873.10FU

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/sh1390874.10fu
title: SH1390874.10FU

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/sh1390875.10fu
title: SH1390875.10FU

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/sh1390876.10fu
title: SH1390876.10FU

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/sh1390878.10fu
title: SH1390878.10FU

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/sh1390879.10fu
title: SH1390879.10FU

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.9vdzwx
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/0027712-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vshebx
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kielmeyera petiolaris"
 ]
}

 The dataset includes 835 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027715-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sb9wnk
title: Occurrence Download

description: A dataset containing 56591 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fabaceae",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56591 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027684-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne2ams
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/0027716-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gz8gfw
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADE2995"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027717-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrzb8x
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027718-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/pkj-0gf-5fn
title: Qualea Aubl.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.22029/jlupub-20009
title: High-Level Document Signing Patterns in the Commonwealth of Independent States (1992–2023)

description: This dataset captures original data on the signing behaviour of member states within the Commonwealth of Independent States (CIS) from 1992 to 2023, focusing on high-level agreements in the security, political, and economic fields. It was developed to empirically investigate the strategies of secondary states in post-Soviet Eurasian regionalism, particularly their exercise of bandwagoning, hedging, and balancing strategies within a Russia-led regional organisation. Scope and Structure Temporal Coverage: 1992–2023 Geographic Coverage: All CIS member states during this period, including changes in membership (e.g., Georgia, Ukraine, and Moldova’s partial or full exits). Unit of Analysis: State-document pairs indicating whether a given country signed a specific high-level document. Fields of Policy: Security, Political, Economic Document Types: Agreements, Protocols, Decisions Documents are those under the competence of the CIS Council of Heads of State, reflecting binding high-level commitments. Methodology The dataset is based on the legal-document registry of the CIS. Each document is classified into one of the three policy fields and coded for each member state based on their participation (signed/not signed). Hierarchical cluster analysis, using Jaccard distance, is employed to identify patterns of alignment and divergence among member states over time. Provenance This dataset was developed within the research project “Understanding Eurasian Regionalism – Actorness and Interaction in Economy and Security” (Project ID: 444058835), funded by the German Research Foundation (DFG). The project, based at the University of Giessen, explores the dynamics of regional organisations and geopolitical strategies in post-Soviet Eurasia, with particular attention to the role and agency of secondary states. Significance This is the most up-to-date and comprehensive dataset on CIS document signing patterns since prior studies (e.g., Libman & Obydenkova, 2013). It enables both descriptive and comparative analysis of member-state behaviour in post-Soviet regionalism and provides a replicable model for analysing state strategies in other regional organisations.
DOI: 10.15151/esrf-es-2170108613
title: CHRONOS

description: Many fundamental processes evolve over months and years, including 1) the strengthening of fault zones in the interseismic period between earthquakes, 2) the sequestration of carbon-bearing minerals in subsurface geologic reservoirs, 3) charge cycling in batteries, 4) the reactions between mixing magmas preceding volcanic eruptions, and 5) the degradation of fossils. Characterizing these processes in experiments typically requires unnatural methods of increasing the rates of reactions, or periodically removing the material from the apparatus or host material. Organization of a group of experts focused on these processes into a BAG will provide significant advances in our understanding of these processes. The BAG will enable far longer experiments than achieved previously that reveal the 4D evolution in situ, without significant perturbation of the sample, and without unnatural acceleration of the rates of the processes.
DOI: 10.15151/esrf-es-2183490539
title: CHRONOS

description: Many fundamental processes evolve over months and years, including 1) the strengthening of fault zones in the interseismic period between earthquakes, 2) the sequestration of carbon-bearing minerals in subsurface geologic reservoirs, 3) charge cycling in batteries, 4) the reactions between mixing magmas preceding volcanic eruptions, and 5) the degradation of fossils. Characterizing these processes in experiments typically requires unnatural methods of increasing the rates of reactions, or periodically removing the material from the apparatus or host material. Organization of a group of experts focused on these processes into a BAG will provide significant advances in our understanding of these processes. The BAG will enable far longer experiments than achieved previously that reveal the 4D evolution in situ, without significant perturbation of the sample, and without unnatural acceleration of the rates of the processes.
DOI: 10.5281/zenodo.16016709
title: Laborbestätigte Influenzafälle in Deutschland

description: Im Datensatz "Laborbestätigte Influenzafälle in Deutschland" werden die wöchentlichen Fallzahlen und Inzidenzen (Fälle pro 100.000 Personen) der nach den Vorgaben des Infektionsschutzgesetzes (IfSG) von den Gesundheitsämtern in Deutschland an die zuständigen Landesbehördne und das Robert Koch-Institut (RKI) übermittelten laborbestätigten Influenzafälle bereitgestellt.
DOI: 10.15151/esrf-es-2113987248
title: IBS BAG

description: The IBS BAG includes teams from IBS (Grenoble) and external groups from CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study the structure-function relationships of proteins with a focus on human health, biotechnology and methodology. Most of the projects are a continuation of the MX-2586 proposal and can be grouped under the following themes: host-pathogen interaction, new therapeutic targets, fundamental cellular mechanisms, membrane proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, cryo-EM, SAXS and NMR) together with other biophysical and biochemical studies and, more recently, the use of AI (AlphaFold) to fully understand the complexity of the biological macromolecular systems under study.
DOI: 10.15151/esrf-es-2127522580
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: The MarBAG, based at Philipps-University Marburg and the Max-Planck-Institute for Terrestrial Microbiology in Marburg, Germany, employs X-ray crystallography to elucidate the fundamental mechanisms underlying the synthesis, assembly, and function of macromolecular machines and cellular structures. This research encompasses critical biological processes, including CO2 fixation pathways, flagellar biosynthesis, CRISPR-Cas systems, and phage-bacteria interactions. Additionally, our investigations extend to plant-pathogen interactions and the role of nucleotide-derived signaling molecules in cellular stress physiology and organization of bacteria and higher organisms.
To enhance our structural characterization of macromolecular complexes that are challenging to crystallize, we have recently installed a 200 keV cryo-electron microscope at UMR. This advanced instrumentation enables routine screening and quality assessment of samples for cryoelectron microscopy.
DOI: 10.5281/zenodo.16016712
title: Respiratorische Synzytialvirusfälle in Deutschland

description: Im Datensatz "Respiratorische Synzytialvirusfälle in Deutschland" werden die Fallzahlen und Inzidenzen (Fälle pro 100.000 Personen) der nach den Vorgaben des Infektionsschutzgesetzes (IfSG) von den Gesundheitsämtern in Deutschland an die zuständigen Landesbehörden und das Robert Koch-Institut (RKI) übermittelten Infektionen mit dem Respiratorischen Synzytial-Virus (RSV) nach Meldewoche bereitgestellt.
DOI: 10.15468/dl.rs2s8x
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACR8930"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027722-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pysb2p
title: Occurrence Download

description: A dataset containing 545 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kielmeyera regalis"
 ]
}

 The dataset includes 545 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027721-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7g2wm
title: Occurrence Download

description: A dataset containing 4087 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4087 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027723-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.458zyx
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cota triumfetti",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 33 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027720-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wha474
title: Occurrence Download

description: A dataset containing 43502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia tenuifolia, Vicia tenuifolia, Vicia tenuifolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43502 records from 636 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027719-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrneey
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027724-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k92zb
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hordeum distichon",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027728-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pz3txy
title: Occurrence Download

description: A dataset containing 1499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Clematis chinensis"
 ]
}

 The dataset includes 1499 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027726-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.baancu
title: Occurrence Download

description: A dataset containing 41304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((137.24587 -5.10959,140.26949 -5.10959,140.26949 -3.39873,137.24587 -3.39873,137.24587 -5.10959))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 41304 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027725-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtacg3
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus pennsylvanica",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027727-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6x6f9z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEJ9427"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027729-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16016756
title: Entente: Cross-silo Intrusion Detection on Network Log Graphs with Federated Learning