cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0201511.10fu
title: SH0201511.10FU

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/sh0201512.10fu
title: SH0201512.10FU

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/sh0201513.10fu
title: SH0201513.10FU

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/sh0201514.10fu
title: SH0201514.10FU

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/sh0201515.10fu
title: SH0201515.10FU

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/sh0201516.10fu
title: SH0201516.10FU

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/sh0201517.10fu
title: SH0201517.10FU

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/sh0201518.10fu
title: SH0201518.10FU

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.ww3nxx
title: Occurrence Download

description: A dataset containing 5479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave angustifolia"
 ]
}

 The dataset includes 5479 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043511-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.32982.32322
title: Parasitic motion profile of a 1T2R manipulator while performing x and y rotation motion
DOI: 10.15468/dl.qzcdpn
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-37.5 -37.5,-30 -37.5,-30 -30,-37.5 -30,-37.5 -37.5))"
 ]
}

 The dataset includes 27 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043513-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.20774.60488
title: MAJOR BENOY BISWAS OF 30 TDU (OLD GUIDES) UNNERVES ALL STARTING FROM MAJ GEN SARFARAZ, MC TO GENERAL MUSA KHAN-PAKISTANI DON QUIXOTES OF RAVI SUTLEJ CORRIDOR CREATE STORM IN A TEA CUP ! MAJOR A.H AMIN (RETIRED)
DOI: 10.13140/rg.2.2.16121.54880
title: Drug Treatment 22-06-03
DOI: 10.13140/rg.2.2.14391.39844
title: French Yellow Vests Movement Media Coverage Database
DOI: 10.5281/zenodo.17379298
title: Alphafold structural models for putative Phytoplasma Effectors (PhAMEs)

description: Description

This dataset contains AlphaFold2 v2.2 models, AlphaFold-Multimer v3 models, and sequences of putative Phytoplasma Effectors (PhAMEs). These models support the research published in “Effector Innovation in Genome-Reduced Phytoplasmas and Other Host-Dependent Mollicutes” by Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).

 

Dataset Contents





PhAMEs_pdb.zip — Contains the PDB files of the top-ranked AlphaFold-predicted structures of phytoplasma predicted secreted proteins (PhAMEs). The names of the pdb files within PhAMEs_pdb.zip correspond to those found in Column A/B of S4 table in Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




PhAMEs_Seq_mature.fasta — Corresponds to a multifasta file with the mature PhAME sequences found in Column A/B in S4 table of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




SAP54_OY-M-AFM.zip — Contains the AlphaFold-Multimer v3 structural predictions for the protein–protein interactions between SAP54/PHYL1 from ‘Candidatus Phytoplasma asteris’ OY-M and AtRAD23c, the C-terminal domain of AtRAD23c, or AtSEP3. These files correspond to Figure 3 and S10 Fig of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




AtTCP10_SAP11_0ef1.zip — Contains the AlphaFold-Multimer v3 structural predictions for the protein–protein interactions between SAP11 from ‘Candidatus Phytoplasma asteris’ AYWB and AtTCP10. These files correspond to S15 Fig of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).



For the AlphaFold-Multimer structural predictions, all standard ColabFold outputs are included:





Five structural models (.pdb files) ranked by confidence




Confidence score files (.json) for each model




Multiple sequence alignment (.a3m file)




Predicted aligned error data and visualizations (.json, .png)




Coverage analysis and confidence plots (.png)




Configuration and environment files
DOI: 10.5281/zenodo.17379299
title: Alphafold structural models for putative Phytoplasma Effectors (PhAMEs)

description: Description

This dataset contains AlphaFold2 v2.2 models, AlphaFold-Multimer v3 models, and sequences of putative Phytoplasma Effectors (PhAMEs). These models support the research published in “Effector Innovation in Genome-Reduced Phytoplasmas and Other Host-Dependent Mollicutes” by Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).

 

Dataset Contents





PhAMEs_pdb.zip — Contains the PDB files of the top-ranked AlphaFold-predicted structures of phytoplasma predicted secreted proteins (PhAMEs). The names of the pdb files within PhAMEs_pdb.zip correspond to those found in Column A/B of S4 table in Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




PhAMEs_Seq_mature.fasta — Corresponds to a multifasta file with the mature PhAME sequences found in Column A/B in S4 table of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




SAP54_OY-M-AFM.zip — Contains the AlphaFold-Multimer v3 structural predictions for the protein–protein interactions between SAP54/PHYL1 from ‘Candidatus Phytoplasma asteris’ OY-M and AtRAD23c, the C-terminal domain of AtRAD23c, or AtSEP3. These files correspond to Figure 3 and S10 Fig of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).




AtTCP10_SAP11_0ef1.zip — Contains the AlphaFold-Multimer v3 structural predictions for the protein–protein interactions between SAP11 from ‘Candidatus Phytoplasma asteris’ AYWB and AtTCP10. These files correspond to S15 Fig of Mirkin et al. (https://doi.org/10.1101/2025.07.14.664665).



For the AlphaFold-Multimer structural predictions, all standard ColabFold outputs are included:





Five structural models (.pdb files) ranked by confidence




Confidence score files (.json) for each model




Multiple sequence alignment (.a3m file)




Predicted aligned error data and visualizations (.json, .png)




Coverage analysis and confidence plots (.png)




Configuration and environment files
DOI: 10.13140/rg.2.2.28828.97921
title: The importance of quality conditions for social services in the process of transformation and deinstitutionalisation
DOI: 10.13140/rg.2.2.36444.26241
title: SMCLLP instances public
DOI: 10.13140/rg.2.2.14266.88001
title: Distribución geoespacial de votos por sección electoral para la gubernatura de Hidalgo, 2022
DOI: 10.15468/dl.9f2h8g
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((67.5 45,75 45,75 52.5,67.5 52.5,67.5 45))"
 ]
}

 The dataset includes 297 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043515-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.14030.95040
title: XYZ Data for "Aggregation Methods Using Bathymetry Sources of Differing Subjective Reliabilities for Navigation Mapping"
DOI: 10.13140/rg.2.2.23648.35843
title: ANEXO 3: Instrumento de evaluación
DOI: 10.15468/dl.83beha
title: Occurrence Download

description: A dataset containing 21091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arachnida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-112.5 52.5,-105 52.5,-105 60,-112.5 60,-112.5 52.5))"
 ]
}

 The dataset includes 21091 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043514-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.19431.11682
title: Battle of FerozShah-First Sikh War
DOI: 10.13140/rg.2.2.25942.11840
title: Certificate of my Participation in the Symposium ‘Democracy and Equality in Contemporary India’ organised by the Vishwaneedam Center for Asian Blossoming, Puducherry and Chennai, 12th June 2022 from 08:00 to 09:30 p.m. IST
DOI: 10.15468/dl.qgyjx3
title: Occurrence Download

description: A dataset containing 583 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-45 -37.5,-37.5 -37.5,-37.5 -30,-45 -30,-45 -37.5))"
 ]
}

 The dataset includes 583 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043517-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.22612.88962
title: Educação Matemática com as Escolas da Educação Básica: interfaces entre pesquisas e salas de aula XIII Encontro Nacional de Educação Matemática A FORMAÇÃO CONTINUADA DO PROFISSIONAL DOCENTE EM MATEMÁTICA: (RE)DISCUTINDO METODOLOGIAS PARA O ENSINO FUNDAMENTAL 1
DOI: 10.13140/rg.2.2.14066.99524
title: Reviewer Acknowledgement to Dr Supaprawat Siripipatthanakul on the website of Jurnal Farmasi Sains dan Praktis.
DOI: 10.13140/rg.2.2.13752.42246
title: JURNAL K3
DOI: 10.13140/rg.2.2.19414.73287
title: Stingless bee Documentary Video File
DOI: 10.15468/dl.w9339z
title: Occurrence Download

description: A dataset containing 28100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Arachnida)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-120 52.5,-112.5 52.5,-112.5 60,-120 60,-120 52.5))"
 ]
}

 The dataset includes 28100 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043512-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15941.32489
title: Drug Treatment 22-06-17
DOI: 10.13140/rg.2.2.25378.50880
title: MASTER TACTICIAN RAJA KANWAR SINGHS BRILLIANT CROSSING OF GANGES AT SHIVPUR GHAT AFTER DECEIVING HIS PURSUERS THAT HE WOULD CROSS AT BULIAH APRIL 1858
DOI: 10.13140/rg.2.2.36178.84162
title: CARDINAL 20220617.xlsx
DOI: 10.15468/dl.ntfvpv
title: Occurrence Download

description: A dataset containing 467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fungi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((75 45,82.5 45,82.5 52.5,75 52.5,75 45))"
 ]
}

 The dataset includes 467 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043518-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12481.02404
title: AKC Plant Breeding Top downloaded
DOI: 10.5281/zenodo.17400108
title: ФОРМАЛЬНЫЕ И СМЫСЛОВЫЕ ОТНОШЕНИЯ МЕЖДУ ТЕРМИНАМИ ЖИВОТНОВОДСТВА В РУССКОМ И УЗБЕКСКОМ ЯЗЫКАХ

description: Данная научная работа посвящена анализу формальных и смысловых отношений между терминами животноводства в русском и узбекском языках. Подчеркивается актуальность изучения терминологии животноводства, поскольку в этой области отсутствует общепринятая классификация и определения, а существующие термины часто толкуются авторами по-разному, вызывая путаницу.

Работа рассматривает животноводство как древнейший пласт лексики, восходящий к «Неолитической революции», и анализирует его основные формы, такие как кочевое/номадное и отгонное скотоводство. Особое внимание уделяется проблеме разграничения этих терминов в научной литературе. Приводится классификация животноводства по В. М. Шамиладзе (альпийское, трансгуманс, равнинное).
DOI: 10.5281/zenodo.17400109
title: ФОРМАЛЬНЫЕ И СМЫСЛОВЫЕ ОТНОШЕНИЯ МЕЖДУ ТЕРМИНАМИ ЖИВОТНОВОДСТВА В РУССКОМ И УЗБЕКСКОМ ЯЗЫКАХ

description: Данная научная работа посвящена анализу формальных и смысловых отношений между терминами животноводства в русском и узбекском языках. Подчеркивается актуальность изучения терминологии животноводства, поскольку в этой области отсутствует общепринятая классификация и определения, а существующие термины часто толкуются авторами по-разному, вызывая путаницу.

Работа рассматривает животноводство как древнейший пласт лексики, восходящий к «Неолитической революции», и анализирует его основные формы, такие как кочевое/номадное и отгонное скотоводство. Особое внимание уделяется проблеме разграничения этих терминов в научной литературе. Приводится классификация животноводства по В. М. Шамиладзе (альпийское, трансгуманс, равнинное).
DOI: 10.13140/rg.2.2.12422.04164
title: OpenSees program with data-physics coupling-driven simulation framework
DOI: 10.13140/rg.2.2.13260.90249
title: Development and Evaluation of Carbopol940 blank gel base drug delivery system in preformulation step of project entitled to develop and evaluate.docx
DOI: 10.13140/rg.2.2.24716.59525
title: R-Package 'kssa' (Known Sub-Sequence Algorithm) for missing data imputation in univariate time series
DOI: 10.25810/gyv-zg57.93
title: New Zealand Newspaper Coverage of Climate Change or Global Warming, 2000-2025 - September 2025

description: The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.7910/dvn/oe251k
title: Replication Data for Chapter 4: Affective Dynamics of Welfare Chauvinism under Different Policy Funding Structures

description: Data, code, and necessary materials for replicating the analysis presented in Chapter 4 of Duygu Merve Uysal's PhD Dissertation.
DOI: 10.13140/rg.2.2.10023.42400
title: ODONTOLOGY
DOI: 10.13140/rg.2.2.35923.25124
title: WIN 20220624 18 51 46 Pro