cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0206187.10fu
title: SH0206187.10FU

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/sh0206188.10fu
title: SH0206188.10FU

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/sh0206189.10fu
title: SH0206189.10FU

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/sh0206190.10fu
title: SH0206190.10FU

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/sh0206191.10fu
title: SH0206191.10FU

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/sh0206192.10fu
title: SH0206192.10FU

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/sh0206193.10fu
title: SH0206193.10FU

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/sh0206194.10fu
title: SH0206194.10FU

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/sh0206195.10fu
title: SH0206195.10FU

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/sh0206196.10fu
title: SH0206196.10FU

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: 10.6084/m9.figshare.28443650
title: ResFinder AMR Gene Profile of <i>Proteus</i> sp. Strain NGCRVN-01

description: This dataset contains the antimicrobial resistance (AMR) gene profile of Proteus sp. strain NGCRVN-01, identified using the ResFinder (v4.6.0) tool. The analysis was conducted on a draft genome sequence obtained from a clinical isolate and sequenced at NSU Genome Research Institute (NGRI), Dhaka, Bangladesh.
DOI: 10.15468/dl.9pnqmx
title: Occurrence Download

description: A dataset containing 1613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Cornell University Plant Pathology Herbarium",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 2000-2025"
 ]
}

 The dataset includes 1613 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001536-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7798bh
title: Occurrence Download

description: A dataset containing 2122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Loranthaceae"
 ]
}

 The dataset includes 2122 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001537-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nbbz8
title: Occurrence Download

description: A dataset containing 20141 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia psilostachya DC."
 ]
}

 The dataset includes 20141 records from 433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001538-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10793888
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.6084/m9.figshare.28443461
title: Survey on Agile Adoption: Challenges, Barriers, and Mitigations in Agile Teams

description: This dataset contains the structure of the questionnaire and the collected responses from a survey investigating the adoption of Agile principles in project teams and organizations. The survey aimed to explore employees' perceptions, experiences, and challenges in Agile environments, considering diverse roles, levels of experience, and organizational contexts.The questionnaire included both closed-ended and open-ended questions. Closed-ended questions gathered demographic data and Agile principle recognition, while open-ended questions captured insights on causes, barriers, and mitigation strategies in Agile adoption. To ensure relevance, responses from participants without Agile experience were excluded.The data was collected through an online survey, allowing for broad participation and efficient data gathering. This dataset can serve as a resource for researchers and practitioners interested in understanding Agile adoption challenges and strategies for improving Agile implementation.
DOI: 10.25824/redu/vmedse
title: Examinando a pobreza multidimensional em municípios da RMC utilizando a abordagem consensual

description: 10 Entrevistas cognitivas gravas e transcritas cujos participantes foram escolhidos a partir dos grupos focais 10 grupos focais gravados e transcritos realizados nas cidades de Vinhedo e Hortolândia com grupos estabelecidos em cinco conjuntos: negros/as; jovens; alta vulnerabilidade; alto poder aquisitivo e mulheres Por razões de sigilo garantidos nos TCLE os materiais não serão disponibilizados.
DOI: 10.5281/zenodo.14892456
title: Descriptive representation of immigrant-origin citizens at the 2024 national, regional and European elections in Flanders

description: This is a dataset with basic information about all candidates for the 2024 regional, national and European elections in Flanders (Belgium).

Migration background was coded through a process described in this article: https://www.sciencedirect.com/science/article/pii/S0261379421000299?via%3Dihub
DOI: 10.5281/zenodo.14892457
title: Descriptive representation of immigrant-origin citizens at the 2024 national, regional and European elections in Flanders

description: This is a dataset with basic information about all candidates for the 2024 regional, national and European elections in Flanders (Belgium).

Migration background was coded through a process described in this article: https://www.sciencedirect.com/science/article/pii/S0261379421000299?via%3Dihub
DOI: 10.5281/zenodo.14892462
title: The dataset used in the manuscript titled "Microwave-assisted solvothermal synthesis of Eu3+-doped CsY2F7 and RbY2F7 phosphorescent nanoparticles".

description: This dataset contains the experimental data used in the manuscript titled "Microwave-assisted solvothermal synthesis of Eu3+-doped CsY2F7 and RbY2F7 phosphorescent nanoparticles". The data includes results used to generate the figures in the manuscript.
DOI: 10.5281/zenodo.14892463
title: The dataset used in the manuscript titled "Microwave-assisted solvothermal synthesis of Eu3+-doped CsY2F7 and RbY2F7 phosphorescent nanoparticles".

description: This dataset contains the experimental data used in the manuscript titled "Microwave-assisted solvothermal synthesis of Eu3+-doped CsY2F7 and RbY2F7 phosphorescent nanoparticles". The data includes results used to generate the figures in the manuscript.
DOI: 10.5281/zenodo.14756930
title: Pore forming peptides simulation data

description: CpHMD and MD simulations of peptides with bilayers.

 

Also thrown in some very initial work on looking at how peptides affect double bilayers and vesicles and dry MARTINI simulations.
DOI: 10.5281/zenodo.14756931
title: Pore forming peptides simulation data

description: CpHMD and MD simulations of peptides with bilayers.

 

Also thrown in some very initial work on looking at how peptides affect double bilayers and vesicles and dry MARTINI simulations.
DOI: 10.5281/zenodo.14816496
title: Peripheral overconfidence in a scene categorization task
DOI: 10.5281/zenodo.14816495
title: Peripheral overconfidence in a scene categorization task
DOI: 10.15468/dl.wrbakh
title: Occurrence Download

description: A dataset containing 2122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Loranthaceae"
 ]
}

 The dataset includes 2122 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001539-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/40fcd489-57d6-4f9a-8a47-b24a19669ff9
title: Creative Music Practice PhD - "Framing Freedom : Bandleading in Jazz and Improvised Music" Album Recordings

description: This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. Requests for access will not necessarily be granted. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: https://www.ed.ac.uk/is/research-support/datavault.
description: Creative output from the thesis "Framing Freedom : Bandleading in Jazz and Improvised Music"- 2 Album Recordings with the band Anthropods and IPA Analysis of the 10 bandleader interviews. Anthropods is: Susanna Gartmayer - Bass Clarinet Jakob Gnigler - Tenor Sax Irene Kepl - Violin Clemens Sainitzer - Cello Mark Holub - Drums Compositions by Mark Holub Selt Titled Debut Album - Discus Music - 2022 - Album available from https://discusmusic.bandcamp.com/album/anthropods-117cd-2022 Abundant Shores - Klanggalerie - 2024 - Album available from https://klanggalerie.bandcamp.com/album/abundant-shores These files should only be shared with permission given by Nikki Moran, the supervisor of this PhD project.
DOI: 10.15468/dl.mwyp3n
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyrtochilum zebrinum (Rchb.f.) Kraenzl."
 ]
}

 The dataset includes 41 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001541-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10793945
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.w9kj68
title: Occurrence Download

description: A dataset containing 19195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ethiopia",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1994-2025"
 ]
}

 The dataset includes 19195 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001543-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mbd4f
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pinus kwangtungensis Chun & Tsiang"
 ]
}

 The dataset includes 167 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001544-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e38d5s
title: Occurrence Download

description: A dataset containing 10977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Living Specimen, Occurrence evidence, Human Observation, Material sample, Observation)",
 "Geometry POLYGON((106.9397 -12.6987,140.58885 -30.05312,142.31615 -12.79234,154.5126 -9.16749,148.79871 43.85395,142.87791 45.7486,122.03669 52.61673,100.87188 41.11646,93.84997 33.49585,72.06514 34.14383,66.85483 21.35491,71.11781 6.43449,106.9397 -12.6987))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pueraria DC."
 ]
}

 The dataset includes 10977 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050026-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/yb8ehy
title: Inhibition of naproxen crystallization by polymers: the role of topology and chain length of polyvinylpyrrolidone macromolecules

description: Zbiór danych zawiera surowe dane eksperymentalne uzyskane metodą dyfrakcji promieniowania X (XRD) w formacie tekstowym (folder Naproxen_PVP_XRD.zip) oraz dane eksperymentalne uzyskane techniką skaningowej kalorymetrii różnicowej (DSC) w formacie tekstowym (folder Naproxen_PVP_DSC.zip). Dane te zostały zebrane dla mieszanin binarnych substancji aktywnej - naproxenu z polimerami PVP o różnej topologii. Celem projektu badawczego było porównanie stopnia hamowania rekrystalizacji amorficznej substancji czynnej w mieszaninach stabilizowanych polimerami o róznej topologii i długości łańcucha. Wykazano, że największą efektowność hamowania rekrystalizacji naproxenu wykazuje PVP o największym ciężarze molekularnym i topologii liniowej.Dodatkowo, zbiór danych zawiera plik w formacie .pdf z preprintem artykułu "Inhibition of Naproxen Crystallization by Polymers: The Role of Topology and Chain Length of Polyvinylpyrrolidone Macromolecules" złożonego do czasopisma European Journal of Pharmaceutics and Biopharmaceutic, który po precesie recenzji został zaakceptowany do publikacji w czasopiśmie European Journal of Pharmaceutics and Biopharmaceutics. Artykuł ten dotyczy wyników badań zdeponowanych z zbiorze.
DOI: 10.5519/qd.fzqko8d1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (61 records)
DOI: 10.15468/dl.hrt6jm
title: Occurrence Download

description: A dataset containing 2280 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vicia altissima Desf."
 ]
}

 The dataset includes 2280 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001546-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.