cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/uschist-c104-254469
title: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter)

description: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254874
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254882
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254883
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254888
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254890
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254476
title: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter)

description: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254479
title: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter)

description: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254484
title: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter)

description: USC Trojan family magazine, vol. 28, no. 1 (1996 Winter). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254917
title: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn)

description: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254918
title: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn)

description: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254373
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.5281/zenodo.18726289
title: PROSPECTS FOR THE DEVELOPMENT OF REGIONAL ECONOMIC COOPERATION

description: Regional economic cooperation plays a crucial role in promoting economic growth, trade integration, and political stability among neighboring countries. This study analyzes the current trends, challenges, and prospects for developing regional economic partnerships. Emphasis is placed on trade liberalization, investment flows, infrastructure development, and policy coordination. The research highlights the potential benefits of regional cooperation, including increased economic efficiency, enhanced competitiveness, and sustainable development. However, obstacles such as political differences, economic disparities, and institutional weaknesses must be addressed to achieve successful integration [1, 2].
DOI: 10.5281/zenodo.18726290
title: PROSPECTS FOR THE DEVELOPMENT OF REGIONAL ECONOMIC COOPERATION

description: Regional economic cooperation plays a crucial role in promoting economic growth, trade integration, and political stability among neighboring countries. This study analyzes the current trends, challenges, and prospects for developing regional economic partnerships. Emphasis is placed on trade liberalization, investment flows, infrastructure development, and policy coordination. The research highlights the potential benefits of regional cooperation, including increased economic efficiency, enhanced competitiveness, and sustainable development. However, obstacles such as political differences, economic disparities, and institutional weaknesses must be addressed to achieve successful integration [1, 2].
DOI: 10.25549/uschist-c104-254375
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254378
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254379
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254387
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.15468/dl.ffrmas
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Heloderma horridum",
 "Year 2000-2026"
 ]
}

 The dataset includes 432 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000225-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-254388
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254400
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254402
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254406
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254413
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254892
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254897
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254899
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.15468/dl.q73y85
title: Occurrence Download

description: A dataset containing 6356 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Floridichthys",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6356 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000226-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/uschist-c104-254909
title: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer)

description: USC Trojan family magazine, vol. 29, no. 2 (1997 Summer). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-255008
title: USC Trojan family magazine, vol. 29, no. 4 (1997 Winter)

description: USC Trojan family magazine, vol. 29, no. 4 (1997 Winter). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254419
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254421
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254424
title: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn)

description: USC Trojan family magazine, vol. 27, no. 4 (1995 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254217
title: USC Trojan family, vol. 27, no. 2 (1995 Spring)

description: USC Trojan family, vol. 27, no. 2 (1995 Spring). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254223
title: USC Trojan family, vol. 27, no. 2 (1995 Spring)

description: USC Trojan family, vol. 27, no. 2 (1995 Spring). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254922
title: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn)

description: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254927
title: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn)

description: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn). Published four times a year in February, May, August and November.
DOI: 10.25549/uschist-c104-254940
title: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn)

description: USC Trojan family magazine, vol. 29, no. 3 (1997 Autumn). Published four times a year in February, May, August and November.
DOI: 10.15468/dl.aqup34
title: Occurrence Download

description: A dataset containing 267353129 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "InstitutionKey is not null",
 "CollectionKey is not null"
 ]
 },
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Living Specimen, Material citation)"
 ]
}

 The dataset includes 267353129 records from 24927 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000204-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15305387
title: SmartVote - AI Initiative / Detection tools directory

description: Compiled within the scope of the SmartVote project, this is a database of AI initiatives aimed at combating disinformation in Europe and abroad (n=125). This database is thouroughly analysed in the inaugural report of the same project, titled An Iberian Outlook: Report on Social Media Disinformation in Spanish, Portuguese and EU elections and Detection tools, available here.

In this inaugural report for the we establish the groundwork for the projects’ intervention, aiming to provide access, knowledge and skills that allow for technology to enable autonomy and social participation in wider society. We specifically aim to tackle the issue of disinformation and its impact during electoral processes and referendums as a threat to democracy, and the role of news and journalism and technology in the process. On the technology side we will create technological resources which allow for the identification and mitigation of disinformation. 

Despite the aim to stimulate positive impacts in wider society, the project will directly work with young people aged 18 to 25 in Spain and Portugal. The Iberian dimension of the project implies an added level of complexity in terms of our intervention, as despite the historical familiarity both countries are quite different at a social, territorial, political and in terms of their media ecosystem and relationship with news and journalism.
DOI: 10.15156/bio/sh1389836.10fu
title: SH1389836.10FU

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/sh1389837.10fu
title: SH1389837.10FU

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/sh1389840.10fu
title: SH1389840.10FU

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/sh1389842.10fu
title: SH1389842.10FU

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/sh1389846.10fu
title: SH1389846.10FU

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/sh1389849.10fu
title: SH1389849.10FU

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/sh1389851.10fu
title: SH1389851.10FU

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/sh1389852.10fu
title: SH1389852.10FU

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/sh1389857.10fu
title: SH1389857.10FU

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.m7dz4w
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllanthus subcuneatus Greenm."
 ]
}

 The dataset includes 134 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077710-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbkyf2
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lecanorchis multiflora J.J.Sm."
 ]
}

 The dataset includes 66 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005255-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.