cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1062324.10fu
title: SH1062324.10FU

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/sh1062325.10fu
title: SH1062325.10FU

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/sh1062335.10fu
title: SH1062335.10FU

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/sh1062337.10fu
title: SH1062337.10FU

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/sh1062342.10fu
title: SH1062342.10FU

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/sh1062343.10fu
title: SH1062343.10FU

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/sh1062347.10fu
title: SH1062347.10FU

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/sh1062349.10fu
title: SH1062349.10FU

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/sh1062353.10fu
title: SH1062353.10FU

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.w4dbmt
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 {
 "or" : [
 "Geometry POLYGON((-138.41487 -63.49138,6.41487 -63.49138,6.41487 -5.50862,-138.41487 -5.50862,-138.41487 -63.49138))",
 "Geometry POLYGON((-71.65373 -17.48035,-70.12891 -16.27548,-71.35339 -15.353,-72.40459 -14.82879,-73.12079 -14.6277,-74.04181 -16.08304,-72.67872 -17.41041,-71.65373 -17.48035))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycalopex griseus (Gray, 1837)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070343-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnwg6s
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is In situ observations of Stygiomedusa gigantea"
 ]
}

 The dataset includes 109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070344-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrjdj8
title: Occurrence Download

description: A dataset containing 425683 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Archaea"
 ]
}

 The dataset includes 425683 records from 771 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070348-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.749mru
title: Occurrence Download

description: A dataset listing the 4190 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-99.19717 19.51619,-98.84419 19.51619,-98.84419 19.70942,-99.19717 19.70942,-99.19717 19.51619))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 4190 records were derived from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070351-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rv2725
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.79134 -17.49507,-70.48572 -17.29764,-70.14775 -16.22771,-71.24742 -15.20331,-72.16972 -14.92928,-72.60054 -14.53952,-72.74777 -14.33212,-73.01547 -14.28025,-74.0595 -14.05057,-75.04998 -15.50617,-74.2609 -17.36378,-71.79134 -17.49507))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hirundo rustica Linnaeus, 1758"
 ]
}

 The dataset includes 718 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070345-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15741892
title: Systematic Literature Review File

description: This dataset is presented as part of the Master’s thesis in Information Science at the Faculty of Engineering and the Faculty of Arts of the University of Porto, entitled “Critical Analysis and Evaluation of the User Experience in the Mobile Version: A Case Study at ZeroZero.”

It includes two Excel workbooks:





Portuguese Version: contains the original search queries, inclusion/exclusion criteria, identification steps, results per database, and final list of eligible studies with quality assessment.




English Version: an exact translation of the Portuguese file, for broader accessibility.



Each workbook is organized into multiple sheets covering:



Final search queries



Presents the precise search strings applied across Web of Science, IEEE Xplore, Scopus, ScienceDirect, and the ACM Digital Library to identify literature on mobile UX and usability evaluation methods.



Inclusion and Exclusion Criteria



Defines the criteria used to select studies, including publication year, document type, language, etc.



Identification 



Presents the raw retrieval counts obtained from each database for every search string (QS1–QS5).



Number of results



Summarises the total records retrieved by each database (after de-duplication), the number of studies deemed relevant following title/abstract and full-text screening, and the number of excluded records.



QS5 (WoS, IEEE, Scopus, SD)



Documents the records retrieved by Search String 5 (QS5) across four databases: Web of Science, IEEE Xplore, Scopus, and ScienceDirect.



ACM QS3



Documents the records retrieved by the ACM-specific query (QS3)



Eligible Results



Presents the final set of 39 studies included in the systematic literature review after screening and quality assessment.

For each eligible study, the table lists:



Record number and title

Authors, year, and document type

Main application/domain area (e.g., usability testing, heuristic evaluation)

Quality‐Assessment Questionnaire (QA1–QA6) responses, indicating the methodological rigor and relevance of each paper






These materials ensure full transparency and reproducibility of the review methodology employed in this dissertation.
DOI: 10.5281/zenodo.15741893
title: Systematic Literature Review File

description: This dataset is presented as part of the Master’s thesis in Information Science at the Faculty of Engineering and the Faculty of Arts of the University of Porto, entitled “Critical Analysis and Evaluation of the User Experience in the Mobile Version: A Case Study at ZeroZero.”

It includes two Excel workbooks:





Portuguese Version: contains the original search queries, inclusion/exclusion criteria, identification steps, results per database, and final list of eligible studies with quality assessment.




English Version: an exact translation of the Portuguese file, for broader accessibility.



Each workbook is organized into multiple sheets covering:



Final search queries



Presents the precise search strings applied across Web of Science, IEEE Xplore, Scopus, ScienceDirect, and the ACM Digital Library to identify literature on mobile UX and usability evaluation methods.



Inclusion and Exclusion Criteria



Defines the criteria used to select studies, including publication year, document type, language, etc.



Identification 



Presents the raw retrieval counts obtained from each database for every search string (QS1–QS5).



Number of results



Summarises the total records retrieved by each database (after de-duplication), the number of studies deemed relevant following title/abstract and full-text screening, and the number of excluded records.



QS5 (WoS, IEEE, Scopus, SD)



Documents the records retrieved by Search String 5 (QS5) across four databases: Web of Science, IEEE Xplore, Scopus, and ScienceDirect.



ACM QS3



Documents the records retrieved by the ACM-specific query (QS3)



Eligible Results



Presents the final set of 39 studies included in the systematic literature review after screening and quality assessment.

For each eligible study, the table lists:



Record number and title

Authors, year, and document type

Main application/domain area (e.g., usability testing, heuristic evaluation)

Quality‐Assessment Questionnaire (QA1–QA6) responses, indicating the methodological rigor and relevance of each paper






These materials ensure full transparency and reproducibility of the review methodology employed in this dissertation.
DOI: 10.15468/dl.3pzffg
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxifraga cinerea Harry Sm."
 ]
}

 The dataset includes 14 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070347-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29420936
title: Rural data

description: Questionnaire responses of socio-demographics and consumption patterns of the selected underutilized legumes
DOI: 10.6084/m9.figshare.29420936.v1
title: Rural data

description: Questionnaire responses of socio-demographics and consumption patterns of the selected underutilized legumes
DOI: 10.15468/dl.t3k9ae
title: Occurrence Download

description: A dataset containing 852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Oxybelis aeneus (Wagler, 1824)"
 ]
}

 The dataset includes 852 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070349-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0kwj-g017
title: "Three Phase Induction Motor Stator Fault Data"

description: "Three Phase Induction Motor Stator Fault DataClass:3 (Normal, 2Turn(=ITSC), 4Turn short)1Hp, 3Phase-Induction Motor, 10kHz"
DOI: 10.25934/pr00006885.0
title: Available IPD datapackage for study 'A 38-week, Multicenter, Randomized, Double-blind, Active-controlled Study to Evaluate the Efficacy, Safety, and Tolerability of an Intramuscular Depot Formulation of Aripiprazole (OPC-14597) as Maintenance Treatment in Patients With Schizophrenia'

description: The purpose of the this trial is to evaluate the efficacy, safety, and tolerability of an intramuscular (IM) depot formulation of aripiprazole as maintenance treatment in patients with schizophrenia The trial is designed into three treatment phases. Phase 1 is designed to allow for a subject to be converted from the current anti-psychotic treatment to oral non-generic aripiprazole monotherapy (oral conversion phase from 4 to 6 weeks). During Phase 2 the subject will be stabilized on oral non-generic aripiprazole monotherapy. Once the subject is stabilized in Phase 2 (oral stabilization phase from minimum 8 weeks to maximum 28 weeks), they are eligible to be randomized into the double-blind IM depot maintenance phase, Phase 3. During Phase 3, the subject will be assessed for exacerbation of psychotic symptoms and impending relapse for up to 38 weeks.
DOI: 10.34847/nkl.05d0mfz9
title: Araméen christo-palestinien: nouvelle police CPA-DM

description: En collaboration avec le comité Script Ad Hoc d’Unicode, Claire Clivaz et Alain Desreumaux ont établi une liste de 40 caractères pour créer une nouvelle police d’araméen christo-palestinien (voir la note technique d’Unicode n° 52 : https://www.unicode.org/notes/tn52/). En collaboration avec Alain Desreumaux et l’entreprise valaisanne Forme.ch (Jérémy Formaz), Claire Clivaz a mené le projet de la nouvelle police CPA DM (juillet-décembre 2023). Alain Desreumaux et Tim Meylan ont dessiné et vectorisé les quarante caractères dans la 2ème étape du projet. Police disponible sur https://github.com/sib-swiss/dh-cpa ; CPA KeymanWeb fait par Silvano Aldà (IT, SIB, CH): https://etalk.sib.swiss/cpa. Ce set de données présente également deux vidéos d’installation préparées par Jérémy Formaz, pour Mac OS et PC Windows. Ce dataset transmet également le fichier otf de la police CPA-DM, ainsi que les claviers PC et Mac OS et un schéma du clavier.
description: In collaboration with Unicode's Script Ad Hoc committee, Claire Clivaz and Alain Desreumaux have drawn up a list of 40 characters to create a new Aramaic Christo-Palestinian font (see Unicode technical note no. 52: https://www.unicode.org/notes/tn52/). In collaboration with Alain Desreumaux and the Valais-based company Forme.ch (Jérémy Formaz), Claire Clivaz has led the project for the new CPA DM font (July-December 2023). Alain Desreumaux and Tim Meylan designed and vectorized the forty characters in the 2nd stage of the project. The font, with keyboards, is available on https://github.com/sib-swiss/dh-cpa; a CPA KeymanWeb here, prepared by Silvano Aldà (IT, SIB, CH): https://etalk.sib.swiss/cpa. 2 videos prepared by Jérémy Formaz explain the installation of the font and keyboard on Mac OS and PC. This dataset provides also the otf CPA-DM font file, with the PC and MacOS keyboards et a pattern of the keyboard.
DOI: 10.34847/nkl.05d17z9p
title: AGRINION - Stele funeraria di Tynnicha
title: Agrinion 52

description: buono
description: numero di inventario
description: Source: Socal, Michela
description: Provenance: 1.0
description: Provenance: Dorsoduro 3484/D Venezia
description: Provenance: Italia
description: Provenance: Università Ca' Foscari
description: Provenance: Venezia
description: Provenance: primo piano
description: Provenance: 2.0
description: created: 1981-1985
DOI: 10.6073/pasta/38206ea12b42bbd77ad97e1c0747353d
title: PAB01 Aboveground net primary productivity of tallgrass prairie based on accumulated plant biomass on core LTER watersheds (001d, 004b, 020b)

description: Data set contains estimates of end-of-season standing crop biomass (grams per square meter) of live graminoids, forbs, woody plants, and previous year's dead vegetation for 2 soil types (shallow and deep) on three core LTER watersheds representing three fire frequency treatments. Twenty quadrats (0.1 square meters) are harvested for each soil/treatment type. NOTE: Early (April) and mid-season (July) biomass was collected from 1983-1988, and these data are available by request.