cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15353566
title: Educación ambiental y saberes locales ante el cambio climático en escuelas interculturales bilingües

description: El presente artículo es resultado de dos proyectos de investigación que se centraron en analizar las narrativas y las prácticas que emergen en los procesos de enseñanza-aprendizaje sobre el cambio climático, en unidades educativas rurales e interculturales bilingües, en el marco de los desafíos socioambientales que enfrentan estos territorios. La investigación se realizó con la participación de docentes, estudiantes y actores locales de las provincias de Azuay y Cañar, mediante una metodología cualitativa basada en entrevistas semiestructuradas y la elaboración de mapas parlantes, a partir de muestreo no probabilístico por conveniencia. Los resultados evidenciaron que el cambio climático es poco abordado como eje central en la práctica pedagógica, el cual es percibido como un fenómeno altamente tecnificado y desvinculado de las dinámicas ambientales locales y de las políticas nacionales e internacionales. No obstante, los actores locales subrayan la necesidad de incorporar los saberes comunitarios en la educación ambiental, destacando que la degradación de la naturaleza no solo representa una crisis ecológica, sino también una fractura simbólica y cultural que debilita la identidad de sus pueblos. Esto evidencia la urgencia de promover enfoques educativos contextualizados, críticos y transdisciplinarios.
DOI: 10.15468/dl.tssjan
title: Occurrence Download

description: A dataset listing the 86 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "Geometry POLYGON((-74.67073 8.44471,-74.65953 7.94413,-74.63711 7.13724,-74.21499 7.06626,-73.85263 7.51827,-73.8601 8.39614,-73.99085 8.62028,-74.2374 8.62402,-74.4055 8.53063,-74.67073 8.44471))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 86 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015055-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtwgc3
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erysimum melicentae"
 ]
}

 The dataset includes 256 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015076-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsqgan
title: Occurrence Download

description: A dataset containing 12109 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventario de fauna presente en la jurisdicción de Corantioquia"
 ]
}

 The dataset includes 12109 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015079-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pywxd9
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fabaceae",
 "Country is Cook Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 384 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015078-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fhgrj
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 (Panthera onca)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015081-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16179341
title: 12-the-library-of-forgotten-things-amharic.jpg
DOI: 10.5281/zenodo.16179342
title: 12-the-library-of-forgotten-things-amharic.jpg
DOI: 10.15468/dl.3f5zux
title: Occurrence Download

description: A dataset containing 3 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 (Panthera onca)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015080-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k454v5
title: Occurrence Download

description: A dataset containing 5318 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 (Panthera onca)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 5318 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015082-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7ujr4
title: Occurrence Download

description: A dataset containing 258818 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus serotina"
 ]
}

 The dataset includes 258818 records from 916 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014970-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1406661.10fu
title: SH1406661.10FU

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/sh1406662.10fu
title: SH1406662.10FU

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/sh1406665.10fu
title: SH1406665.10FU

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/sh1406666.10fu
title: SH1406666.10FU

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: 10.17632/kjv4dckx8m
title: Surpassing the uncanny valley

description: These data are relative to the paper "Neural Signatures of Hyper-Realistic AI-Generated Faces: Dissociating Behavioral Indistinguishability from Implicit Neural Evaluation". The present study aimed to determine whether the human brain preserves sensitivity to the artificial origin of hyper-realistic AI-generated faces even when explicit, behavioral discrimination from real faces fails. By integrating behavioral validation with high-density EEG recordings, we sought to characterize the temporal dynamics and neural substrates underlying the processing of real versus GAN-generated faces across perceptual, evaluative, and familiarity-related stages. Specifically, the study investigated whether implicit neural markers reveal systematic differences in the processing of artificial faces that are behaviorally indistinguishable from real ones, thereby dissociating overt recognition performance from covert neural evaluation.
DOI: 10.15156/bio/sh1406667.10fu
title: SH1406667.10FU

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: 10.17632/kjv4dckx8m.1
title: Surpassing the uncanny valley

description: These data are relative to the paper "Neural Signatures of Hyper-Realistic AI-Generated Faces: Dissociating Behavioral Indistinguishability from Implicit Neural Evaluation". The present study aimed to determine whether the human brain preserves sensitivity to the artificial origin of hyper-realistic AI-generated faces even when explicit, behavioral discrimination from real faces fails. By integrating behavioral validation with high-density EEG recordings, we sought to characterize the temporal dynamics and neural substrates underlying the processing of real versus GAN-generated faces across perceptual, evaluative, and familiarity-related stages. Specifically, the study investigated whether implicit neural markers reveal systematic differences in the processing of artificial faces that are behaviorally indistinguishable from real ones, thereby dissociating overt recognition performance from covert neural evaluation.
DOI: 10.15156/bio/sh1406669.10fu
title: SH1406669.10FU

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/sh1406674.10fu
title: SH1406674.10FU

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/sh1406675.10fu
title: SH1406675.10FU

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/sh1406676.10fu
title: SH1406676.10FU

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: 10.25921/3v45-q126
title: NOAA/WDS Paleoclimatology - Takahula Lake, Alaska 8,000 Year Stable Isotope Data

description: Understanding the ecological and socio-economic impacts of climatic warming requires knowledge of associated changes in moisture balance. Reconstructions of Holocene moisture-balance variation offer indispensible baseline information against which recent changes can be evaluated. We analyzed Chara-stem encrustations in the sediments of Takahula Lake, located in the south-central Brooks Range of Alaska, for oxygen and carbon-isotope composition to infer climatic change over the past 8000 years. To help constrain climatic interpretations of the sediment δ18O record, we also analyzed water samples from Takahula and other lakes in the region for oxygen and hydrogen isotope composition. Results show that winter precipitation dominates the water balance of these lakes and that post-input evaporation is a key control of lake-water isotope composition of Takahula Lake. Stratigraphic patterns in Chara-δ18O, supplemented by those in δ13C and sediment lithology, reveal distinct changes in effective moisture (precipitation minus evaporation) over the past 8000 years. Effective moisture was relatively high from 8000 to 5000 cal BP, with marked fluctuations between 6800 and 5000 cal BP. It then decreased to reach a minimum around 4000 cal BP and increased with fluctuations from 4000 to ~2500 cal BP, followed by a decreasing trend toward the present that was interrupted by a wet Little Ice Age (centered at 400 cal BP). Aridity during the 20th century was among the highest of the entire 8000-year record. At the millennial timescale, the temporal patterns of moisture-balance shifts at Takahula Lake are broadly coherent with those inferred from previous paleoclimate records from the region. The Chara-δ18O values around 5600 cal BP and during the Little Ice Age are up to 5‰ lower than at present and 3.6‰ lower than that of the modern input-water to the lake. These exceptionally low values suggest that factors other than effective moisture must have contributed to the pronounced variations in the Takahula Lake δ18O record. Increased winter precipitation associated with a westerly Aleutian Low position may account for 1‰ of the δ18O decrease. Other factors leading to the 18O-depletion during these periods probably include decreased temperatures, as well as increased lake-ice cover and associated reductions in evaporation.
description: Centennial resolution isotope and geochemical data for Takahula Lake, Alaska, for the past 8000 years, plus surface lake-water isotope data from other Brooks Range lakes. Takahula Lake: 67°21'N, 153°40'W, 275 m asl