cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1063468.10fu
title: SH1063468.10FU

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/sh1063469.10fu
title: SH1063469.10FU

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/sh1063470.10fu
title: SH1063470.10FU

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/sh1063473.10fu
title: SH1063473.10FU

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/sh1063474.10fu
title: SH1063474.10FU

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/sh1063476.10fu
title: SH1063476.10FU

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/sh1063477.10fu
title: SH1063477.10FU

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/sh1063481.10fu
title: SH1063481.10FU

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/sh1063484.10fu
title: SH1063484.10FU

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.78dg2m
title: Occurrence Download

description: A dataset containing 8828 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kickxia spuria (L.) Dumort., Knautia arvensis (L.) Coult., Koeleria macrantha (Ledeb.) Schult., Koeleria pyramidata (Lam.) P.Beauv., Koeleria vallesiana (Honck.) Gaudin, Koenigia polystachya (Wall. ex Meisn.) T.M.Schust. & Reveal, Laburnum anagyroides Medik., Lactuca saligna L., Lactuca sativa L., Lactuca serriola L., Lactuca viminea (L.) J.Presl & C.Presl, Lactuca virosa L., Lagarosiphon major (Ridl.) Moss, Lagurus ovatus L., Lamium album L., Lamium amplexicaule L., Lamium galeobdolon (L.) L., Lamium hybridum Vill., Lamium maculatum (L.) L., Lamium purpureum L., Lapsana communis L., Larix decidua Mill., Larix kaempferi (Lamb.) Carrière, Lathraea clandestina L., Lathraea squamaria L., Lathyrus aphaca L., Lathyrus latifolius L., Lathyrus niger (L.) Bernh., Lathyrus nissolia L., Lathyrus oleraceus Lam., Lathyrus pratensis L., Lathyrus sylvestris L., Lathyrus tuberosus L., Laurus nobilis L., Lavandula angustifolia Mill., Lavandula latifolia Medik., Lavandula pedunculata (Mill.) Cav., Lavandula stoechas L., Leersia oryzoides (L.) Sw., Legousia speculum-veneris (L.) Chaix, Lemna minor L., Leontodon hispidus L., Leonurus cardiaca L., Lepidium africanum (Burm.f.) DC., Lepidium campestre (L.) W.T.Aiton, Lepidium coronopus (L.) Al-Shehbaz, Lepidium didymum L., Lepidium draba L., Lepidium heterophyllum Benth., Lepidium latifolium L., Lepidium ruderale L., Lepidium sativum L., Lepidium virginicum L., Leptospermum continentale J.Thomps., Leptospermum laevigatum (Gaertn.) F.Muell., Leptospermum myrsinoides Schltdl., Leucanthemum ircutianum (Turcz.) DC., Leucanthemum vulgare Lam., Leucojum aestivum L., Leucojum vernum L., Leuzea conifera (L.) DC., Levisticum officinale W.D.J.Koch, Leycesteria formosa Wall., Leymus arenarius (L.) Hochst., Ligustrum lucidum W.T.Aiton, Ligustrum ovalifolium Hassk., Ligustrum sinense Lour., Ligustrum vulgare L., Lilium martagon L., Limonium vulgare Mill., Linaria dalmatica (L.) Mill., Linaria genistifolia (L.) Mill., Linaria purpurea (L.) Mill., Linaria repens (L.) Mill., Linaria supina (L.) Chaz.)",
 "Country is New Zealand",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Material citation, Living Specimen)",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8828 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070868-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jar7g4
title: Occurrence Download

description: A dataset containing 483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "OccurrenceStatus is Present",
 "TaxonKey is Rattus norvegicus (Berkenhout, 1769)"
 ]
}

 The dataset includes 483 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070869-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjbffj
title: Occurrence Download

description: A dataset containing 15336 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelophylax nigromaculatus (Hallowell, 1861)"
 ]
}

 The dataset includes 15336 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070871-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.0bd1m625
title: Ruta B-710, Restos mecánicos Cuesta de Paposo
DOI: 10.15468/dl.v9vyyj
title: Occurrence Download

description: A dataset containing 2837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Arequipa, Moquegua, Tacna)",
 "TaxonKey is Conirostrum cinereum d'Orbigny & Lafresnaye, 1838"
 ]
}

 The dataset includes 2837 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070872-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bvpv8f
title: Occurrence Download

description: A dataset containing 513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is NZL",
 "OccurrenceStatus is Present",
 "TaxonKey is Capra hircus Linnaeus, 1758"
 ]
}

 The dataset includes 513 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070873-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15206011
title: MODELOS DE FRONTERA EN FÍSICA APLICADA Y FUNDAMENTAL

description: Prólogo Personal

A mis 75 años, he decidido consolidar este legado como una ofrenda a la física, a la ingeniería y al futuro. No pretendo imponer verdades, sino proponer caminos.Este documento recoge una parte significativa de mis reflexiones y modelos desarrollados en diálogo con un entorno de inteligencia artificial que me ha asistido con admirable rigurosidad. Cada concepto aquí planteado surge de la confluencia entre experiencia profesional, pasión por el conocimiento y una mirada crítica sobre los desafíos del porvenir.La validación de estas propuestas —hoy en el límite entre lo posible y lo aún no comprobado— depende de quienes, con competencias específicas, puedan verificar, corregir o expandir lo que aquí se esboza. A todos ellos, mi respeto y mi llamado sincero a colaborar con ciencia, conciencia y visión de futuro.
DOI: 10.5281/zenodo.15206012
title: MODELOS DE FRONTERA EN FÍSICA APLICADA Y FUNDAMENTAL

description: Prólogo Personal

A mis 75 años, he decidido consolidar este legado como una ofrenda a la física, a la ingeniería y al futuro. No pretendo imponer verdades, sino proponer caminos.Este documento recoge una parte significativa de mis reflexiones y modelos desarrollados en diálogo con un entorno de inteligencia artificial que me ha asistido con admirable rigurosidad. Cada concepto aquí planteado surge de la confluencia entre experiencia profesional, pasión por el conocimiento y una mirada crítica sobre los desafíos del porvenir.La validación de estas propuestas —hoy en el límite entre lo posible y lo aún no comprobado— depende de quienes, con competencias específicas, puedan verificar, corregir o expandir lo que aquí se esboza. A todos ellos, mi respeto y mi llamado sincero a colaborar con ciencia, conciencia y visión de futuro.
DOI: 10.15468/dl.3xf8up
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acropoma japonicum Günther, 1859",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 753 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012683-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qdtnqs
title: Occurrence Download

description: A dataset containing 7966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macroramphosus scolopax (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7966 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012682-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.12899
title: Dataset for: The relation between the Public Attitude towards COVID-19 and its Applied Policies - A Binational and Temporal Comparison

description: While countries applied different strategies in order to prevent a further spread of the COVID-19 pandemic, the measures found a varying degree of support within their countries populations. The goal of this study is to explore the relationship between people’s attitudes on the COVID-19 measures and the policies strictness. This questionnaire was distributed in Switzerland and Germany, and provides a binational comparison regarding the relation between COVID-19 policies and their respective public opinion. In detail, the following research questions are explored: 1. How do public attitudes differ between the Swiss and German population on respective, national COVID-19 policies? 2. Is there a change over time in the attitude of the two populations towards non-compliance? To answer the research questions we ran an online survey in July 2020 and May 2021 after the first and second wave of COVID-19 incidences. A total of 127 participants were asked to answer a total of 40 questions using a visual analog scale to identify the attitude towards COVID-19 policies. Further data on the participants’ information sources, health status and demographics were collected. In the analysis, the participants attitudes were compared with the COVID-19 policies that were in force at the time in the respective country. A series of independent one-tailed t-tests with a significance level of α= 0.05 were used to identify significant differences within a binational comparison. Bonferroni-correction was used to control for the bias due to multiple comparisons. Furthermore, the temporal development of the collected attitudes for both countries were explored by computing a Wilcoxon-Mann-Whitney-Test.
DOI: 10.5281/zenodo.14260589
title: Dataset: goPredSim - Inference based on embedding similarity
title: Dataset: Embeddings from deep learning transfer GO annotations beyond homology

description: goPredSim

The files in this directory are necessary for runningthis project.

It's recommended to check the MD5 checksums, after downloading to ensure the file integrity.
DOI: 10.5281/zenodo.14260590
title: Dataset: goPredSim - Inference based on embedding similarity
title: Dataset: Embeddings from deep learning transfer GO annotations beyond homology

description: goPredSim

The files in this directory are necessary for runningthis project.

It's recommended to check the MD5 checksums, after downloading to ensure the file integrity.
DOI: 10.15468/dl.36xxtm
title: Occurrence Download

description: A dataset containing 15273 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Hieracium aurantiacum L.)"
 ]
}

 The dataset includes 15273 records from 284 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012687-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdp7gv
title: Occurrence Download

description: A dataset containing 11879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lophostemon confertus (R.Br.) Paul G.Wilson & J.T.Waterh."
 ]
}

 The dataset includes 11879 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012690-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.12905
title: Dataset for: “Is The Standing Nail Hammered Down? Individualism, Collectivism And Subjective Well-Being”

description: This survey research is aimed at examining the influence of cultural orientation on Subjective Well-being. 101 participants were surveyed, and their results were made available in this data set. T-tests and Person correlation were the statistical tests conducted.
description: Dataset for the study. Codebook and Data Management Plan included in the data file.
DOI: 10.15468/dl.rkp33k
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Begonia longiciliata C.Y.Wu)"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012692-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3vzcqz
title: Occurrence Download

description: A dataset containing 3413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tragopogon pratensis L.",
 "Geometry POLYGON((-141 24, -53 24, -53 83, -141 83, -141 24))"
 ]
}

 The dataset includes 3413 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012691-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.