cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.s5dp5z
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnoporeia cooki Taylor, 2009"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123135-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv2xqp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meiosquilla lebouri (Gurney, 1946)"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0124059-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.64xy4b
title: Occurrence Download

description: A dataset containing 4729749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Depth 0.0-186.0m",
 "Geometry POLYGON((20.003 -60,146.898 -60,146.898 31.186,20.003 31.186,20.003 -60))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 4729749 records from 386 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139052-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0164862.10fu
title: SH0164862.10FU

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/sh0164863.10fu
title: SH0164863.10FU

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: 10.23634/mmu.00643457
title: Development of The COMBINED approach: Integrating a brief behaviour change intervention supported by a physiotherapist for people with rotator cuff disorders

description: Background: Modifiable lifestyle factors (smoking, inactivity, overweight) could contribute to the onset and persistence of rotator cuff disorders, yet physiotherapy practice rarely addresses them. Brief interventions (BIs) can support behaviour change but are not routinely embedded in musculoskeletal care.
Objectives: To develop The COMBINED approach: a physiotherapist-supported intervention integrating BI’s targeting modifiable health behaviours into routine consultations for people with rotator cuff disorders; and to explore how physiotherapists can be supported to deliver it.
Materials and methods: A theory-, evidence-, and pragmatic-based development process incorporated stakeholder co-design, behavioural theory, and evidence across three workstreams: (1) narrative review of BIs targeting smoking, inactivity, and weight management; (2) four co-design workshops with 26 stakeholders (physiotherapists, patients, experts) to select and adapt a BI and identify key intervention features; (3) theoretical modelling using COM-B, TDF, and BCTTv1 to map barriers/facilitators, select behaviour change techniques, and develop prototype components.
Findings: Fourteen BIs were identified; Moving Medicine had greatest utility. Barriers included time constraints, limited skills and confidence, and fear of offending patients, contrasting with patients’ acceptability of lifestyle conversations. Recommendations included embedding the BI into routine care, scripts, infographics, patient resources, and training. Twelve TDF domains and 20 BCTs informed prototype development comprising: (1) patient-level intervention: a BI (adapted from Moving Medicine) embedded in routine consultations with tailored resources; (2) clinician-level implementation toolkit.
Conclusion: The COMBINED approach is the first formally developed intervention supporting integration of BI’s within routine consultations for people with rotator cuff disorders and is now ready for feasibility testing.
DOI: 10.5281/zenodo.18161181
title: Benchmark simulations for methane emissions validation and sensitivity studies

description: We used WRF-LES 4.7.0 to generate realistic methane plumes that represent a three-dimensional mass distribution in the atmospheric boundary layer over time. 

The main use of these simulations is the validation of methane flux rate estimations and the sensitivity analysis to different effects. Different studies are ongoing but, so far, results have been published about the impact of source typology  and a detailed study of the parallax effect induced by illumination and viewing angular conditions

Please, check the README.txt file for more info and/or contact us for any comments or suggestions.
DOI: 10.5281/zenodo.18161182
title: Benchmark simulations for methane emissions validation and sensitivity studies

description: We used WRF-LES 4.7.0 to generate realistic methane plumes that represent a three-dimensional mass distribution in the atmospheric boundary layer over time. 

The main use of these simulations is the validation of methane flux rate estimations and the sensitivity analysis to different effects. Different studies are ongoing but, so far, results have been published about the impact of source typology  and a detailed study of the parallax effect induced by illumination and viewing angular conditions

Please, check the README.txt file for more info and/or contact us for any comments or suggestions.
DOI: 10.15156/bio/sh0164864.10fu
title: SH0164864.10FU

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/sh0164865.10fu
title: SH0164865.10FU

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/sh0164866.10fu
title: SH0164866.10FU

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/sh0164867.10fu
title: SH0164867.10FU

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/sh0164868.10fu
title: SH0164868.10FU

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/sh0164869.10fu
title: SH0164869.10FU

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/sh0164870.10fu
title: SH0164870.10FU

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.dut3zk
title: Occurrence Download

description: A dataset containing 2776227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OrderKey is Fagales",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is France"
 ]
}

 The dataset includes 2776227 records from 3843 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001149-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7633933
title: Dataset - muestra - doctorado: guía metodológica para el éxito en el uso de las tecnologías digitales en educación a través de los proyectos Erasmus+

description: La Unión Europea y países asociados están trabajando en proyectos europeos que aportan información relevante sobre las metodologías utilizadas a nivel educativo a través de diferentes programas, incluido el Programa Erasmus+. Estos proyectos son la fuente de inspiración para la investigación que se está realizando de cara a obtener una guía metodológica para el uso exitoso de las tecnologías digitales en la educación en la mejora del aprendizaje. En esta publicación se aportan los <strong>datos utilizados como punto de partida y muestra </strong>para la investigación de mi tesis doctoral relacionada con el análisis de proyectos catalogados como buena práctica o experiencia de éxito relacionados con eLearning y/o TIC -------- The European Union and associated countries are working on European projects that provide relevant information on the methodologies used at the educational level through different programs, including the Erasmus+ Program. These projects are the source of inspiration for the research that is being carried out in order to obtain a methodological guide for the successful use of digital technologies in education to improve learning. This publication provides the <strong>data used as a starting point and sample </strong>for the research of my doctoral thesis related to the analysis of projects classified as good practice or successful experience related to eLearning and/or ICT ----------- Se puede encontrar <strong>más información en / More information in</strong>: https://knowledgesociety.usal.es/users/maria-goretti-alonso-de-castro.
description: PhD research
description: {"references": ["Alonso de Castro, M. G., & Garc\u00eda-Pe\u00f1alvo, F. J.. (2022). Metodolog\u00edas educativas de \u00e9xito: proyectos Erasmus+ relacionados con e-learning o TIC. Campus Virtuales, 11(1), 95. presentado en Jul-01-2024. doi:10.54988/cv.2022.1.1022", "Alonso de Castro, M. G., & Garc\u00eda-Pe\u00f1alvo, F. J.. (2021). Erasmus+ Educational Projects on eLearning and Related Methodologies. En A. Dwivedi & Garc\u00eda-Pe\u00f1alvo, F. J. (Eds.), (pp. 111 - 133). IGI Global. doi:10.4018/978-1-7998-4156-2"]}
DOI: 10.3535/bsp-1wr-01g
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qcq-rm9-0d8
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qz7-ate-k35
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wg0-vvp-mca
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lz5-5hr-97j
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/6nj-76r-nmd
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/f0q-fd7-vmv
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5jc-03m-df8
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/99w-wnt-xbd
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/hf1-ep4-e39
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qaq-mvm-p3p
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d2l-94w-6cy
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nl3-v15-3d9
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n2p-h0k-1l2
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2k5-zz0-dkv
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8a3-jrh-nvz
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4r3-l00-frk
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w5b-xyh-fet
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.v7huap
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 (Zosterops conspicillatus (Kittlitz, 1833))",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111356-250525065834625/datasets/export for details.
DOI: 10.3535/9f6-d09-18p
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pfz-8he-74k
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/srh-8j7-63l
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/eag-ggt-k3q
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n9c-wvv-0h7
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ng8-e4y-hxh
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nx9-6ak-g3d
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9sb-6yr-0ch
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qjd-gv6-q93
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.h2a2sq
title: Occurrence Download

description: A dataset containing 795 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Clethra lanata M.Martens & Galeotti"
 ]
}

 The dataset includes 795 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111357-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.