cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u7j6kh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.7490766752827 20.58155314721718,-105.6392133940327 20.58155314721718,-105.6392133940327 20.69141642846718,-105.7490766752827 20.69141642846718,-105.7490766752827 20.58155314721718))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhopalonema velatum Gegenbaur, 1857"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005317-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djsmqt
title: Occurrence Download

description: A dataset containing 136064 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données du Parc national des Pyrénées - Observations occasionnelles Parc national des Pyrénées"
 ]
}

 The dataset includes 136064 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020457-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7s6zrp
title: Occurrence Download

description: A dataset containing 136386 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrences in SinBiota"
 ]
}

 The dataset includes 136386 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020456-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.61pj1l12
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (254 records)
DOI: 10.15468/dl.qhka5c
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Larimichthys crocea",
 "Year 1951-2025"
 ]
}

 The dataset includes 148 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058308-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cvv8x
title: Occurrence Download

description: A dataset containing 362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ixora henryi)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 362 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058314-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxycmv
title: Occurrence Download

description: A dataset containing 1962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bactrocera tau"
 ]
}

 The dataset includes 1962 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058312-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xtqge
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apterygiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 0,-120 0,-120 30,-150 30,-150 0))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058311-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.15175791
title: Dataset Environmental and Sustainability Films in Education 1980-2024

description: This study utilizes bibliometric analysis to explore the integration of environmental and sustainability films in educational contexts through 142 publications sourced from the Scopus database. Using complementary analytical tools Bibliometrix and VOSviewer, we trace the field's development from 1980 to 2024, identifying three distinct phases: emergence (1980-2005), growth (2005-2015), and acceleration (2015-2022). Our findings reveal significant geographical disparities in research production, with Anglo-American countries dominating the discourse despite meaningful contributions from Brazil and China. Network visualizations uncover limited collaborative structures among researchers and institutions, while conceptual mapping demonstrates insufficient integration between film theory and environmental education frameworks. Citation analysis highlights the concentrated influence of specific works, particularly those connecting environmental and health narratives. Based on these findings, we propose four strategic pathways to enhance the educational application of environmental films: diversifying epistemic perspectives to include marginalized voices, strengthening theoretical connections between film studies and environmental pedagogy, leveraging emerging digital media technologies, and developing robust evaluation methodologies. This comprehensive analysis provides valuable guidance for researchers, educators, and filmmakers seeking to improve the pedagogical effectiveness of environmental and sustainability films across educational settings.
DOI: 10.5281/zenodo.15175792
title: Dataset Environmental and Sustainability Films in Education 1980-2024

description: This study utilizes bibliometric analysis to explore the integration of environmental and sustainability films in educational contexts through 142 publications sourced from the Scopus database. Using complementary analytical tools Bibliometrix and VOSviewer, we trace the field's development from 1980 to 2024, identifying three distinct phases: emergence (1980-2005), growth (2005-2015), and acceleration (2015-2022). Our findings reveal significant geographical disparities in research production, with Anglo-American countries dominating the discourse despite meaningful contributions from Brazil and China. Network visualizations uncover limited collaborative structures among researchers and institutions, while conceptual mapping demonstrates insufficient integration between film theory and environmental education frameworks. Citation analysis highlights the concentrated influence of specific works, particularly those connecting environmental and health narratives. Based on these findings, we propose four strategic pathways to enhance the educational application of environmental films: diversifying epistemic perspectives to include marginalized voices, strengthening theoretical connections between film studies and environmental pedagogy, leveraging emerging digital media technologies, and developing robust evaluation methodologies. This comprehensive analysis provides valuable guidance for researchers, educators, and filmmakers seeking to improve the pedagogical effectiveness of environmental and sustainability films across educational settings.
DOI: 10.15468/dl.vqw3sn
title: Occurrence Download

description: A dataset containing 40098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Costa Rica",
 "Geometry POLYGON((-159.77617 1.16548,-43.22383 1.16548,-43.22383 47.83452,-159.77617 47.83452,-159.77617 1.16548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calocitta formosa (Swainson, 1827)"
 ]
}

 The dataset includes 40098 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010945-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xgp6fw
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Peru",
 "Geometry POLYGON((-73.24624 -3.6077,-72.91538 -3.4438,-72.97123 -3.27965,-73.30084 -3.44079,-73.24624 -3.6077))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geonoma brongniartii Mart."
 ]
}

 The dataset includes 202 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010946-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71802/ffvfxaj0
title: Articles and presentations about CARONTE

description: Dissemination of CARONTE project throught the participation in two international conferences:
- 5th International Scientific Conference Information Science in The Age of Change, Warsaw (Poland), May 13-14, 2019
- 11th Qualitative and Quantitative Methods in Libraries, Florence (Italy), May 28-31, 2019
DOI: 10.3886/icpsr03588.v1
title: Campaign Expenditures in the United States, 1997-1998: Detailed Report File
title: Version 1

description: These data are made available by the Federal Election
 Commission (FEC) and are taken directly from campaign finance reports
 filed by candidates, political committees, and others required to file
 under the federal election laws. This data file contains one record
 for each separate reporting period for each FEC committee and, as
 such, is the source for longitudinal information about committee
 financial activity during the 1997-1998 election cycle. Information
 presented in the file includes the political committee identification
 number, report year and type, time period covered by the report, total
 receipts and disbursements, beginning and ending cash balances, debts
 owed by and to the committee, individual, political, and candidate
 contributions, transfers from affiliated committees, loans received
 and payments made, refunds, and whether the record reports the
activity of a Joint Fundraising Committee.
description: Datasets: 
DS1: Campaign Expenditures in the United States, 1997-1998: Detailed Report File
description: All campaign finance transactions and reports occurring
during the 1997-1998 election cycle.
description: Starting in 1989-1990, the Detailed Report File
 has been released by the FEC as a separate study. It was formerly
included as part of the Freedom of Information Act (FOIA) data.
DOI: 10.71802/v62sqlf3
title: Reports

description: Final report of the CARONTE Project. This report has been prepared as a final overview of the activities carried out during the whole project, as requested by the donor EIT RawMaterials.
DOI: 10.15156/bio/sh0006420.10fu
title: SH0006420.10FU

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/sh0006421.10fu
title: SH0006421.10FU

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/sh0006422.10fu
title: SH0006422.10FU

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: 10.57841/casdc.0006817
title: 过渡金属二硫化物1T-MX2中的电荷密度波和原子三聚化
DOI: 10.15156/bio/sh0006423.10fu
title: SH0006423.10FU

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/sh0006424.10fu
title: SH0006424.10FU

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.t8ntuu
title: Occurrence Download

description: A dataset containing 78214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asplenium adiantum-nigrum",
 "Year 1000-2022"
 ]
}

 The dataset includes 78214 records from 908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074375-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0006425.10fu
title: SH0006425.10FU

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/sh0006426.10fu
title: SH0006426.10FU

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: 10.57841/casdc.0006818
title: 多铁材料BiKFeO的微结构表征与研究
DOI: 10.15156/bio/sh0006427.10fu
title: SH0006427.10FU

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.nqu5db
title: Occurrence Download

description: A dataset containing 1075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Spain",
 "TaxonKey is Pseudoscorpiones"
 ]
}

 The dataset includes 1075 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074414-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0006428.10fu
title: SH0006428.10FU

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/sh0006429.10fu
title: SH0006429.10FU

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.