cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1395529.10fu
title: SH1395529.10FU

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/sh1395530.10fu
title: SH1395530.10FU

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.gkzaf5
title: Occurrence Download

description: A dataset containing 5104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.58319 53.73005,2.93996 51.95359,2.59508 51.10806,5.80041 50.36338,8.39713 50.78853,8.41742 51.97859,8.35656 53.28364,6.51045 54.07665,4.58319 53.73005))",
 "HasGeospatialIssue is false",
 "TaxonKey is Vulpes vulpes",
 "Year is 2016"
 ]
}

 The dataset includes 5104 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006045-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1395532.10fu
title: SH1395532.10FU

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/sh1395533.10fu
title: SH1395533.10FU

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/sh1395534.10fu
title: SH1395534.10FU

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/sh1395536.10fu
title: SH1395536.10FU

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/sh1395542.10fu
title: SH1395542.10FU

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/sh1395543.10fu
title: SH1395543.10FU

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.29592569
title: Dataset for Microplastic Deposition on Biologically-Cohesive Sediment within Emergent Canopies

description: Dataset for Microplastic Deposition on Biologically-Cohesive Sediment within Emergent Canopies
DOI: 10.6084/m9.figshare.29592569.v1
title: Dataset for Microplastic Deposition on Biologically-Cohesive Sediment within Emergent Canopies

description: Dataset for Microplastic Deposition on Biologically-Cohesive Sediment within Emergent Canopies
DOI: 10.15468/dl.pf4n3d
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.07595 9.01289,-83.15973 8.96209,-83.16249 8.9059,-83.23053 8.84527,-83.28522 8.83037,-83.08224 8.58491,-82.82915 8.7208,-82.8836 8.82314,-82.95479 8.8996,-83.07595 9.01289))",
 "OccurrenceStatus is Present",
 "TaxonKey is Eugenia grayumii"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003589-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15995321
title: Raw database of the Master's thesis: Pedagogical recommendations for media and information literacy in secondary education: a systematic review

description: Abstract

The growing volume of digital information, disinformation and the rise of hate speech make it necessary for citizens Media and Information Literacy (MIL). This is relevant for different types of education: informal, non-formal and formal. Within the latter, secondary education is a key stage in which students acquire essential knowledge and skills for adult life. 

The research question guiding this Master's thesis is: What are the main recommendations for developing MIL competences in secondary school students? To answer this question, a systematic review of the scientific literature was carried out using the Web of Science™ and Scopus® databases.

The result of the search had a total of 70 articles, with 17 articles from nine countries in Europe and South America finally selected. Different educational interventions were documented both to obtain information on students' opinions and competences through questionnaires, interviews, skills tests, as well as educational experiences using audiovisual, professional tools and serious games that improved the AMI competences of most of the students. Although there is a horizon of research and work ahead, these results are promising for the daily performance of secondary school teachers.

Web of Science search equation (08/04/2025): 





"media and information literacy" (Topic) or "media and information literac*" (Topic) and secondary education (Topic) and student (Topic) and Open Access and Article (Document Types) and English or Spanish (Languages) and 2024 or 2023 or 2022 or 2021 or 2020 (Publication Years) and All Open Access or Gold or Gold-Hybrid or Free to Read or Green Published or Green Accepted (Open Access)
DOI: 10.5281/zenodo.15995322
title: Raw database of the Master's thesis: Pedagogical recommendations for media and information literacy in secondary education: a systematic review

description: Abstract

The growing volume of digital information, disinformation and the rise of hate speech make it necessary for citizens Media and Information Literacy (MIL). This is relevant for different types of education: informal, non-formal and formal. Within the latter, secondary education is a key stage in which students acquire essential knowledge and skills for adult life. 

The research question guiding this Master's thesis is: What are the main recommendations for developing MIL competences in secondary school students? To answer this question, a systematic review of the scientific literature was carried out using the Web of Science™ and Scopus® databases.

The result of the search had a total of 70 articles, with 17 articles from nine countries in Europe and South America finally selected. Different educational interventions were documented both to obtain information on students' opinions and competences through questionnaires, interviews, skills tests, as well as educational experiences using audiovisual, professional tools and serious games that improved the AMI competences of most of the students. Although there is a horizon of research and work ahead, these results are promising for the daily performance of secondary school teachers.

Web of Science search equation (08/04/2025): 





"media and information literacy" (Topic) or "media and information literac*" (Topic) and secondary education (Topic) and student (Topic) and Open Access and Article (Document Types) and English or Spanish (Languages) and 2024 or 2023 or 2022 or 2021 or 2020 (Publication Years) and All Open Access or Gold or Gold-Hybrid or Free to Read or Green Published or Green Accepted (Open Access)
DOI: 10.15468/dl.4rtjtv
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003590-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63z646
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charybdis japonica",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003592-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxhwzu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003591-250717081556266/datasets/export for details.
DOI: 10.15468/dl.pqx37m
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Idesia polycarpa",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003593-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26183/xre9-rc96
title: Heavy vehicle driver fatigue: Participant Observation data collection sheets

description: The extant transport literature suggests that truck driver fatigue is a leading contributor in truck crashes. Various factors are known to affect a truck driver’s ability to comply with work and rest requirements, including long working hours, irregular work schedules, sleep deprivation and driving at night.  In Australia, while control measures restrict the number of hours of work a truck driver may undertake without rest, they travel vast distances and work with a high level of autonomy. This makes it difficult for transport companies to monitor and manage truck drivers’ work and rest compliance; thereby relying on them to self-manage driver fatigue at designated rest-stops. However, there is little Australian research examining rest-stop behaviour of truck drivers in relation to driver fatigue compliance. To better understand how truck drivers manage driver fatigue, an exploratory participant observation a summary shstudy of truck drivers (N = 378) was undertaken at two Australian truck rest stops in rural New South Wales. The findings indicate that while most truck drivers comply with rest requirements regarding driver fatigue, load type, driver changeovers, access to parking, and time spent on work-related activities at the rest areas affects the time truck drivers spend at rest, and these factors are likely to increase the risk of truck drivers not complying with driver fatigue regulation. They are also likely to increase the number of truck drivers involved in fatigue related crashes.
The data consists of a four page schedule which includes a summary sheet and an exemplar of a single data observation sheet. To discuss this data, please contact Gregory Casey <22028151@student.westernsydney.edu.au> ORCID 0000-0002-6554-6915.
DOI: 10.15468/dl.puqgjm
title: Occurrence Download

description: A dataset listing the 50 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-99.11752 19.23793,-99.05592 19.23934,-99.01086 19.23793,-99.01086 19.32368,-99.12672 19.33136,-99.12996 19.33157,-99.11746 19.31123,-99.11752 19.23793))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 50 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003583-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8ahyj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Icterus spurius)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003595-250717081556266/datasets/export for details.
DOI: 10.15468/dl.99pz8a
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sphaeroma quoianum",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003596-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8surgk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lagunaria patersonii",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003597-250717081556266/datasets/export for details.
DOI: 10.15468/dl.y3n5q4
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trimerotropis arenacea"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003599-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.puqjry
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003598-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yy4qs
title: Occurrence Download

description: A dataset containing 54875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Erigeron canadensis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54875 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003580-250717081556266/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/12502688
title: Polymer Prediction Dependencies
DOI: 10.15468/dl.unda9e
title: Occurrence Download

description: A dataset containing 360992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myosanthus, Myosoton, Plettkea, Spergulastrum, Stellularia, Tytthostemma, Succisa pratensis, Asterocephalus succisa, Asterocephalus succisa glabratus, Asterocephalus succisa hirsutus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 360992 records from 1286 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003548-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.