cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0174456.10fu
title: SH0174456.10FU

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/sh0174457.10fu
title: SH0174457.10FU

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: 10.5281/zenodo.18199368
title: Pearson's and Spearman's correlations between use of open educational resources (OER) and self-perception of open thinking. Correlazioni tra l'esposizione a risorse educative aperte e affermazioni sul pensiero aperto.

description: This dataset was created to analyse the responses to the survey Open Thinking through Open Educational Resources.

The survey was administered online as part of a PhD thesis on Open Educational Resources (OERs) in the processes of learning. The purpose of the research is to inquire what are the outcomes of learning processes, in terms of competencies (cognitive, interpretive, personal skills and attitudes), when learners engage with digital, interactive OERs. The aim is thus to analyse what kind of learning, thought of as a process of interpretation and assignment of meaning, occurs because of the characteristics of OERs. 

The questionnaire was adapted from Insung Jung & Jihyun Lee (2022) "Open thinking as a learning outcome of open education: scale development and validation", Distance Education, 43:1, 119-138, DOI: 10.1080/01587919.2021.2020620This survey represented a collaboration between Alma Mater Studiorum - Università di Bologna, University of Nova Gorica, Institut "Jožef Stefan" and MIT-ADT University, Pune as part of the network Open Education 4 a Better World.
DOI: 10.5281/zenodo.18199369
title: Pearson's and Spearman's correlations between use of open educational resources (OER) and self-perception of open thinking. Correlazioni tra l'esposizione a risorse educative aperte e affermazioni sul pensiero aperto.

description: This dataset was created to analyse the responses to the survey Open Thinking through Open Educational Resources.

The survey was administered online as part of a PhD thesis on Open Educational Resources (OERs) in the processes of learning. The purpose of the research is to inquire what are the outcomes of learning processes, in terms of competencies (cognitive, interpretive, personal skills and attitudes), when learners engage with digital, interactive OERs. The aim is thus to analyse what kind of learning, thought of as a process of interpretation and assignment of meaning, occurs because of the characteristics of OERs. 

The questionnaire was adapted from Insung Jung & Jihyun Lee (2022) "Open thinking as a learning outcome of open education: scale development and validation", Distance Education, 43:1, 119-138, DOI: 10.1080/01587919.2021.2020620This survey represented a collaboration between Alma Mater Studiorum - Università di Bologna, University of Nova Gorica, Institut "Jožef Stefan" and MIT-ADT University, Pune as part of the network Open Education 4 a Better World.
DOI: 10.15156/bio/sh0174458.10fu
title: SH0174458.10FU

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/sh0174459.10fu
title: SH0174459.10FU

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/sh0174460.10fu
title: SH0174460.10FU

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/sh0174461.10fu
title: SH0174461.10FU

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/sh0174462.10fu
title: SH0174462.10FU

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/sh0174463.10fu
title: SH0174463.10FU

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/sh0174464.10fu
title: SH0174464.10FU

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/sh0174465.10fu
title: SH0174465.10FU

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.f6wjb7
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.937689 -35.360637, 148.937689 -35.36962, 148.946672 -35.36962, 148.946672 -35.378604, 148.955655 -35.378604, 148.955655 -35.374112, 148.951164 -35.374112, 148.951164 -35.367375, 148.944426 -35.367375, 148.944426 -35.365129, 148.939935 -35.365129, 148.939935 -35.360637, 148.937689 -35.360637))"
 ]
}

 The dataset includes 31 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053133-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fskgh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.857072 -37.388594, 144.857072 -37.390839, 144.86381 -37.390839, 144.86381 -37.388594, 144.857072 -37.388594)), ((144.857072 -37.388594, 144.857072 -37.384102, 144.854826 -37.384102, 144.854826 -37.388594, 144.857072 -37.388594)), ((144.86381 -37.390839, 144.86381 -37.395331, 144.857072 -37.395331, 144.857072 -37.397577, 144.854826 -37.397577, 144.854826 -37.404314, 144.861564 -37.404314, 144.861564 -37.399823, 144.86381 -37.399823, 144.86381 -37.397577, 144.868301 -37.397577, 144.868301 -37.399823, 144.870547 -37.399823, 144.870547 -37.397577, 144.872793 -37.397577, 144.872793 -37.399823, 144.87953 -37.399823, 144.87953 -37.388594, 144.884022 -37.388594, 144.884022 -37.384102, 144.877284 -37.384102, 144.877284 -37.381856, 144.872793 -37.381856, 144.872793 -37.390839, 144.86381 -37.390839)), ((144.861564 -37.404314, 144.861564 -37.40656, 144.86381 -37.40656, 144.86381 -37.404314, 144.861564 -37.404314)), ((144.86381 -37.404314, 144.868301 -37.404314, 144.868301 -37.399823, 144.86381 -37.399823, 144.86381 -37.404314)))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053134-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pcckd
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "MediaType is Image",
 "Sex is Male",
 "TaxonKey is Erythrodiplax umbrata (Linnaeus, 1758)"
 ]
}

 The dataset includes 259 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053135-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5yuz9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.837247 -35.367375, 147.837247 -35.371866, 147.843985 -35.371866, 147.843985 -35.367375, 147.837247 -35.367375))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053136-240626123714530/datasets/export for details.
DOI: 10.15468/dl.tv7chm
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((142.150884 -37.397577, 142.150884 -37.399823, 142.157622 -37.399823, 142.157622 -37.397577, 142.150884 -37.397577))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053137-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejzkbh
title: Occurrence Download

description: A dataset containing 1624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Euterpe precatoria Mart."
 ]
}

 The dataset includes 1624 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053138-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vts2fb
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Planocarpa C.M.Weiller"
 ]
}

 The dataset includes 655 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053139-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhza37
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.339687 -35.367375, 149.339687 -35.371866, 149.341933 -35.371866, 149.341933 -35.367375, 149.339687 -35.367375))"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053140-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ac47d
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((142.593307 -37.377365, 142.593307 -37.37961, 142.595553 -37.37961, 142.595553 -37.381856, 142.593307 -37.381856, 142.593307 -37.384102, 142.586569 -37.384102, 142.586569 -37.381856, 142.584324 -37.381856, 142.584324 -37.37961, 142.579832 -37.37961, 142.579832 -37.388594, 142.584324 -37.388594, 142.584324 -37.390839, 142.586569 -37.390839, 142.586569 -37.397577, 142.579832 -37.397577, 142.579832 -37.399823, 142.586569 -37.399823, 142.586569 -37.402068, 142.588815 -37.402068, 142.588815 -37.404314, 142.60229 -37.404314, 142.60229 -37.40656, 142.606782 -37.40656, 142.606782 -37.395331, 142.60229 -37.395331, 142.60229 -37.397577, 142.593307 -37.397577, 142.593307 -37.395331, 142.595553 -37.395331, 142.595553 -37.388594, 142.600044 -37.388594, 142.600044 -37.377365, 142.593307 -37.377365))"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053141-240626123714530/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.26506867
title: New Insights and constraints on the magnitude of the Carbon Isotope Excursion across the Paleocene Eocene Thermal Maximum

description: It is about PETM CIE.
DOI: 10.15468/dl.qcx2b3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.371128 -35.365129, 149.371128 -35.367375, 149.366637 -35.367375, 149.366637 -35.371866, 149.371128 -35.371866, 149.371128 -35.36962, 149.377866 -35.36962, 149.377866 -35.367375, 149.380111 -35.367375, 149.380111 -35.365129, 149.371128 -35.365129))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053142-240626123714530/datasets/export for details.
DOI: 10.15468/dl.x6k2zd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((142.141901 -37.404314, 142.146393 -37.404314, 142.146393 -37.399823, 142.141901 -37.399823, 142.141901 -37.404314)), ((142.141901 -37.404314, 142.139655 -37.404314, 142.139655 -37.40656, 142.141901 -37.40656, 142.141901 -37.404314)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053143-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kjs66p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.463206 -35.367375, 149.463206 -35.36962, 149.465452 -35.36962, 149.465452 -35.367375, 149.463206 -35.367375))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053144-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ntaxk5
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pilosocereus arrabidae (Lem.) Byles & G.D.Rowley"
 ]
}

 The dataset includes 230 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053145-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.738770
title: Pollen profile DOVJOK, Dovjok Swamp, Ukraine

description: The EPD (http://www.europeanpollendatabase.net) accepted species name is given in the parameter comment. This dataset was archived on 2010-05-11 from the EPD database.
DOI: 10.1594/pangaea.889626
title: Pollen profile PLES, Ples, Russia

description: This dataset was archived on 2018-05-03 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 2005
DOI: 10.1594/pangaea.889095
title: Pollen profile BAIKA2, Baika, Russia

description: This dataset was archived on 2018-04-25 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 2000
DOI: 10.1594/pangaea.889220
title: Pollen profile BUTOVKA, Butovka, Russia

description: This dataset was archived on 2018-04-26 from the EPD database. (http://www.europeanpollendatabase.net). Date analyzed: 2005