cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0159585.10fu
title: SH0159585.10FU

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/sh0159586.10fu
title: SH0159586.10FU

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/sh0159587.10fu
title: SH0159587.10FU

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/sh0159588.10fu
title: SH0159588.10FU

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/sh0159589.10fu
title: SH0159589.10FU

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/sh0159590.10fu
title: SH0159590.10FU

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.8ce3gc
title: Occurrence Download

description: A dataset containing 39064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.3625 43.63762,6.35434 43.64853,6.29402 43.65353,6.25507 43.64489,6.25507 43.61897,6.29025 43.60214,6.35999 43.56801,6.41653 43.56892,6.44858 43.58212,6.44544 43.60078,6.41402 43.61761,6.3625 43.63762))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 39064 records from 436 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000975-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mespsa
title: Occurrence Download

description: A dataset containing 11999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenicurus phoenicurus (Linnaeus, 1758)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46,19.51 36.21,6.41 36.21,6.41 47.46,19.51 47.46)))"
 ]
}

 The dataset includes 11999 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038747-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bna6mf
title: Occurrence Download

description: A dataset containing 2960 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sticta weigelii (Ach.) Vain."
 ]
}

 The dataset includes 2960 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0379838-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8thtdk
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Ursus maritimus maritimus",
 "TaxonKey is Ursus maritimus marinus Pallas, 1776",
 "TaxonKey is Ursus maritimus Phipps, 1774",
 "TaxonKey is Ursus maritimus Linnaeus, 1758",
 "TaxonKey is Ursus maritimus tyrannus Kurten, 1964"
 ]
}

 The dataset's 4 records were derived from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0382358-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yj7qp
title: Occurrence Download

description: A dataset containing 11901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solenopsis geminata (Fabricius, 1804)",
 "Year 1803-2023"
 ]
}

 The dataset includes 11901 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052907-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hr7rab
title: Occurrence Download

description: A dataset containing 88968 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrus communis L."
 ]
}

 The dataset includes 88968 records from 662 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0382376-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppqmd8
title: Occurrence Download

description: A dataset containing 10350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hymenophyllum polyanthos (Sw.) Sw."
 ]
}

 The dataset includes 10350 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0379828-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q2t4g9
title: Occurrence Download

description: A dataset containing 14754 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Poecile palustris (Linnaeus, 1758)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46,19.51 36.21,6.41 36.21,6.41 47.46,19.51 47.46)))"
 ]
}

 The dataset includes 14754 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038758-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7wveb
title: Occurrence Download

description: A dataset containing 204142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galium saxatile L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 204142 records from 559 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038679-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18508075
title: TIJORAT BANKLARI VA MARKAZIY BANK O'RTASIDAGI FARQ VA O'ZARO BOG'LIQLIK

description: Mazkur maqolada tijorat banklari va Markaziy bank o‘rtasidagi institutsional farqlar, ularning iqtisodiy tizimdagi funksional vazifalari hamda o‘zaro bog‘liqlik mexanizmlari chuqur tahlil qilinadi. Tadqiqot davomida Markaziy bankning pul-kredit siyosatini amalga oshiruvchi asosiy regulyator sifatidagi roli, tijorat banklarining esa real sektor va aholiga moliyaviy xizmatlar ko‘rsatuvchi muhim bo‘g‘in ekanligi ilmiy asosda yoritiladi. Shuningdek, ushbu ikki moliyaviy institut o‘rtasidagi hamkorlik va nazorat munosabatlarining bank tizimi barqarorligi, moliyaviy intizom va iqtisodiy o‘sishga ta’siri tahlil qilinadi. Maqolada zamonaviy bank tizimi sharoitida Markaziy bank va tijorat banklari o‘rtasidagi muvozanatli munosabatlarni shakllantirishning ahamiyati asoslab beriladi hamda bank tizimining samarali ishlashida ushbu o‘zaro aloqaning strategik ahamiyati ochib beriladi.
DOI: 10.5281/zenodo.18508074
title: TIJORAT BANKLARI VA MARKAZIY BANK O'RTASIDAGI FARQ VA O'ZARO BOG'LIQLIK

description: Mazkur maqolada tijorat banklari va Markaziy bank o‘rtasidagi institutsional farqlar, ularning iqtisodiy tizimdagi funksional vazifalari hamda o‘zaro bog‘liqlik mexanizmlari chuqur tahlil qilinadi. Tadqiqot davomida Markaziy bankning pul-kredit siyosatini amalga oshiruvchi asosiy regulyator sifatidagi roli, tijorat banklarining esa real sektor va aholiga moliyaviy xizmatlar ko‘rsatuvchi muhim bo‘g‘in ekanligi ilmiy asosda yoritiladi. Shuningdek, ushbu ikki moliyaviy institut o‘rtasidagi hamkorlik va nazorat munosabatlarining bank tizimi barqarorligi, moliyaviy intizom va iqtisodiy o‘sishga ta’siri tahlil qilinadi. Maqolada zamonaviy bank tizimi sharoitida Markaziy bank va tijorat banklari o‘rtasidagi muvozanatli munosabatlarni shakllantirishning ahamiyati asoslab beriladi hamda bank tizimining samarali ishlashida ushbu o‘zaro aloqaning strategik ahamiyati ochib beriladi.
DOI: 10.48804/frb9ap
title: Replication Data For: Anti-apoptotic BCL-2 binds to and inhibits all three IP3R isoforms, thereby limiting the Ca2+-flux properties of IP3R homo-tetramers

description: This dataset includes all underlying data integrated in the publication in Open Biology by de Ridder et al. and contains all data necessary to replicate the published figures. The data consist of densitometric western blot data, numerical calcium traces of Fura-2 ratio, Cal520 and mtCEPIA emission over time, quantification of numerical parameters of intracellular calcium responses. All data was acquired using various Hek293 cells deficient for all native IP3R isoforms and reconstituted with one of three IP3R isoforms (HEK3KO+IP3Rx).
DOI: 10.5281/zenodo.18377766
title: Diplomatic HTR ground truth dataset for an Early New High German transcription model (15th century)

description: This repository contains a set of training data for ATR models (Kraken). It contains 50 pages of ground truth as image files (jpg) and transcription files (PAGE xml).



 

The ground truth contains 50 pages including 2,177 lines with 18,626 word tokens and 112,790 characters.

 

Please refer to the README.md file for further information.


A ground truth dataset following a graphemic transcription of the same data conntained within this repository may be found here: Graphemic HTR-Ground Truth dataset .

Authors




The data in this repository was prepared and curated by Adam Juszczak (ORCiD: 0009-0000-5330-6183) and Frederik Skidzun (ORCiD: 0009-0002-7712-4207) of the Regesta Imperii - Regesta of Emperor Frederik III.




License

This dataset is made available under the CC-BY 4.0 license.
DOI: 10.5281/zenodo.18377765
title: Diplomatic HTR ground truth dataset for an Early New High German transcription model (15th century)

description: This repository contains a set of training data for ATR models (Kraken). It contains 50 pages of ground truth as image files (jpg) and transcription files (PAGE xml).



 

The ground truth contains 50 pages including 2,177 lines with 18,626 word tokens and 112,790 characters.

 

Please refer to the README.md file for further information.


A ground truth dataset following a graphemic transcription of the same data conntained within this repository may be found here: Graphemic HTR-Ground Truth dataset .

Authors




The data in this repository was prepared and curated by Adam Juszczak (ORCiD: 0009-0000-5330-6183) and Frederik Skidzun (ORCiD: 0009-0002-7712-4207) of the Regesta Imperii - Regesta of Emperor Frederik III.




License

This dataset is made available under the CC-BY 4.0 license.
DOI: 10.5281/zenodo.18508061
title: Analyse exploratoire de l'attractivité du circuit de financement direct : les marchés financiers

description: Cette étude porte sur l’analyse exploratoire de l’attractivité du circuit de financement direct ou appelé encore les marchés financiers. L’objectif de l’étude est de déceler un nombre non restreint de facteurs d’attractivité des marchés financiers. La méthodologie retenue repose sur deux aspects : une recherche exploratoire sur les aspects théoriques et empiriques de l’attractivité des marchés financiers et une présentation analytique des résultats obtenus. 

Les résultats obtenus montrent que l’attractivité des marchés financiers est relative à des facteurs généraux et spécifiques conformément aux compartiments. Ils soulignent également la continuité des débats scientifiques en la matière sur l’acceptabilité de certains facteurs comme l’efficience des marchés financiers et la continuité empirique sur les facteurs d’attractivité. 

Par ailleurs, nous soulignons que la compréhension du choix de structure financière des entreprises ou l’orientation stratégique, politique et économique des Etats peuvent faciliter l’analyse de l’attractivité des marchés auprès de ces derniers.
DOI: 10.5281/zenodo.18508060
title: Analyse exploratoire de l'attractivité du circuit de financement direct : les marchés financiers

description: Cette étude porte sur l’analyse exploratoire de l’attractivité du circuit de financement direct ou appelé encore les marchés financiers. L’objectif de l’étude est de déceler un nombre non restreint de facteurs d’attractivité des marchés financiers. La méthodologie retenue repose sur deux aspects : une recherche exploratoire sur les aspects théoriques et empiriques de l’attractivité des marchés financiers et une présentation analytique des résultats obtenus. 

Les résultats obtenus montrent que l’attractivité des marchés financiers est relative à des facteurs généraux et spécifiques conformément aux compartiments. Ils soulignent également la continuité des débats scientifiques en la matière sur l’acceptabilité de certains facteurs comme l’efficience des marchés financiers et la continuité empirique sur les facteurs d’attractivité. 

Par ailleurs, nous soulignons que la compréhension du choix de structure financière des entreprises ou l’orientation stratégique, politique et économique des Etats peuvent faciliter l’analyse de l’attractivité des marchés auprès de ces derniers.
DOI: 10.17026/ar/v69fzh
title: Oriënterende veldinspectie Eerder Hooilanden te Ommen, gemeente Ommen (OV)

description: &lt;p&gt;Laagland Archeologie heeft van september 2024 tot en met maart 2025 een oriënterende veldinspectie uitgevoerd aan de Eerder Hooilanden te Ommen. Het onderzoek vond plaats in verband met de ruimtelijke procedure rondom
Het landschap bestaat uit grotendeels verploegde rivierafzettingen waartussen nog enkele dekzandkoppen zichtbaar zijn. Bij de veldinspectie zijn met name resten uit de Nieuwe Tijd aangetroffen. Deze zijn waarschijnlijk van elders afkomstig en zijn toen mee afgezet in het (nu grotendeels afgeplagde) akkerdek.&lt;/p&gt;&lt;p&gt;
Er zijn twee relevante steentijdvondsten gedaan. Een betreft een vuurstenen afslag en de ander betreft een stenen bijl uit het Midden Neolithicum. Beide zijn aangetroffen in het centrale deel van het plangebied. De bijl is tijdens afplagwerkzaamheden op de dekzandkop gevonden en de afslag net naast de dekzandkop. Dit wijst erop dat het archeologisch niveau tijdens de afplaggingswerkzaamheden dusdanig is verstoord dat geen archeologische vindplaatsen meer verwacht worden.&lt;/p&gt;&lt;p&gt;
De implementatie van dit advies is in handen van de bevoegde overheid, de gemeente Ommen. De gemeente wordt hierin vertegenwoordigd door haar deskundige, dr. O. Satijn
Mochten tijdens de werkzaamheden onverhoopt toch archeologische resten worden aangetroffen, of resten waarvan redelijkerwijze kan worden vermoed dat het om archeologische resten gaat, dan geldt op grond van de Erfgoedwet (art. 5.10) een meldingsplicht. Dit kan bij de Rijksdienst voor het Cultureel Erfgoed (RCE, www.cultureelerfgoed).&lt;/p&gt;
DOI: 10.15468/dl.twmr5a
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (6ea87510-0561-11d8-b851-b8a03c50a862, f9b67ad0-9c9b-11d9-b9db-b8a03c50a862, c2ecae57-6701-485e-9ebd-5f87b2945cb2)",
 "TaxonKey is Melanoplus muscogee",
 "Year 1900-2026"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016725-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18508080
title: Knowledge bases for explainable triple store benchmarking (CMPVY, SWDW)

description: This project provides two knowledge graphs that we created for the two triple store benchmarks:  CMPVY(Carcinogenesis, Mutagenesis, Premier League and Vicodi), and SWDW(Swdf, Watdiv, Dbpedia, Wikidata). Here are some more details:

1. Preprocessing





We preprocessed the DBpedia reference graph in SWDW by:





Removing properties of the http://dbpedia.org/property/ namespace.




Inferring the classes of all entities based on the class hierarchy.



 



2. Knowledge Base Structure

In the first step of our benchmarking framework, we generate a knowledge graph comprising information from the dataset used during the benchmarking process. Our work include two types of data for each query:

 





Reference knowledge graph(s)Each query has to be executed on a certain RDF graph. We adopt Lemming to add the following RDF graph features to our knowledge graph:





Number of vertices and edges




Number of colourless vertices




Minimum, maximum, and average in-degree and out-degree




Standard deviation of in-degree and out-degree




Graph diameter




Average clustering coefficient




Number of node triangles and edge triangles






SPARQL queryWe adopt LSQ to add the following SPARQL query features to our knowledge graph:





Entities (dqb:hasEntity), properties (dqb:hasProperty) contained in the query, and the CBD of the entities




Type of query




The number of triple patterns




The number of basic graph patterns




The average degree of vertices




The median degree of vertices involved in join operations




The minimum, maximum, and median number of triple patterns in a basic graph pattern




The presence of certain keywords such as FILTER, DISTINCT, and GROUP BY