cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0964009.10fu
title: SH0964009.10FU

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/sh0964010.10fu
title: SH0964010.10FU

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/sh0964011.10fu
title: SH0964011.10FU

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/sh0964012.10fu
title: SH0964012.10FU

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/sh0964013.10fu
title: SH0964013.10FU

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/sh0964014.10fu
title: SH0964014.10FU

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/sh0964015.10fu
title: SH0964015.10FU

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.jxzjc6
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna of Cladocera and Copepoda from Xinjiang Uyghur Autonomous Region (China)"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186541-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ud78t7
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Anas laysanensis Rothschild, 1892"
 ]
}

 The dataset includes 229 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135317-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgx2sn
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenothera nealleyi (J.M.Coult.) Krakos & W.L.Wagner"
 ]
}

 The dataset includes 222 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0182324-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6zfcvs
title: Occurrence Download

description: A dataset containing 1560774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apocynaceae"
 ]
}

 The dataset includes 1560774 records from 2751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0186528-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974474
title: Appendix 1a Translation task DE-ES

description: Appendix 1a of the paper "Between source language constructions and target language expectations. An analysis of passive constructions in translated and non-translated Spanish", published in Review of Cognitive Linguistics.

It contains the German text fragments the participants translated into Spanish in the experimental translation task.
DOI: 10.5281/zenodo.10974476
title: Snow phenology extraction, trend analysis, and M–K test for Tibetan plateau
DOI: 10.5281/zenodo.10974523
title: The Present and Future Trend of Green Credit: A Bibliometric Approach
DOI: 10.5281/zenodo.10974524
title: The Present and Future Trend of Green Credit: A Bibliometric Approach
DOI: 10.15468/dl.ye8ffa
title: Occurrence Download

description: A dataset containing 28520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Miniopterus schreibersii (Kuhl, 1817)"
 ]
}

 The dataset includes 28520 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017465-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dmetl4
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tetrastigma diepenhorstii (Miq.) Latiff"
 ]
}

 The dataset includes 115 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004438-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndrpgt
title: Occurrence Download

description: A dataset containing 15534 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Surveys of Octocoral communities, benthic cover and environmental factors on coral reefs of the Great Barrier Reef, Australia (1996 to present)"
 ]
}

 The dataset includes 15534 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066192-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974578
title: Electron Beams at Europa

description: Data for the Figures in Allegrini et al. (2024), "Electron Beams at Europa", GRL.

Abstract:

Jupiter’s moon Europa contains a subsurface ocean whose presence is inferred from magnetic field measurements, the interpretation of which depends on knowledge of Europa’s local plasma environment. A recent Juno spacecraft flyby returned new observations of plasma electrons with unprecedented resolution. Specifically, powerful magnetic field-aligned electron beams were discovered near Europa. These beams, with energies from ~30 to ~300 eV, locally enhance electron-impact-excited emissions and ionization in Europa's atmosphere by more than a factor three over the local space environment, and are associated with large jumps of the magnetic fields. The beams therefore play an essential role in shaping Europa's plasma and magnetic field environment and thus need to be accounted for electromagnetic sounding of Europa’s ocean and plume detection by future missions such as JUICE and Europa Clipper.
DOI: 10.5281/zenodo.10974579
title: Electron Beams at Europa

description: Data for the Figures in Allegrini et al. (2024), "Electron Beams at Europa", GRL.

Abstract:

Jupiter’s moon Europa contains a subsurface ocean whose presence is inferred from magnetic field measurements, the interpretation of which depends on knowledge of Europa’s local plasma environment. A recent Juno spacecraft flyby returned new observations of plasma electrons with unprecedented resolution. Specifically, powerful magnetic field-aligned electron beams were discovered near Europa. These beams, with energies from ~30 to ~300 eV, locally enhance electron-impact-excited emissions and ionization in Europa's atmosphere by more than a factor three over the local space environment, and are associated with large jumps of the magnetic fields. The beams therefore play an essential role in shaping Europa's plasma and magnetic field environment and thus need to be accounted for electromagnetic sounding of Europa’s ocean and plume detection by future missions such as JUICE and Europa Clipper.
DOI: 10.15468/dl.e56wza
title: Occurrence Download

description: A dataset containing 3855 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cichorium endivia L."
 ]
}

 The dataset includes 3855 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137862-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10974614
title: Nanopore reads for course 27255 2024
DOI: 10.15468/dl.py39o4
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Year 1950-2018",
 "Geometry POLYGON ((-37.96875 22.710520782185323, -27.421875 67.33986082559094, 8.4375 72.50172235139388, 50.625 73.4644812481084, 50.625 22.710520782185323, -37.96875 22.710520782185323))",
 "HasCoordinate is true",
 "TaxonKey is Anguis fragilis Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 296 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004438-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10955820
title: The NGDEEP NIRIS calibration files for 'The Next Generation Deep Extragalactic Exploratory Public Near-Infrared Slitless Survey Epoch 1 (NGDEEP-NISS1): Extra-Galactic Star-formation and Active Galactic Nuclei at 0.5 < z < 3.6

description: GRISMCONF configurations files used in Pirzkal et al. 2024. These contain the full field calibrated solution for the dispersion solution, trace as well as wavelength calibration. They provide a mean to extract NIRISS WFSS spectra obtained using the F115W, F150W, or F200W to within an acccuracy better than 0.25 pixel over most of the field of view.  Wavelength calibration of both grism was verified to be accurate to within 15A over most of the field of view. Details can be found in Appendix A of Pirzkal et al. 2024.
DOI: 10.5281/zenodo.10955821
title: The NGDEEP NIRIS calibration files for 'The Next Generation Deep Extragalactic Exploratory Public Near-Infrared Slitless Survey Epoch 1 (NGDEEP-NISS1): Extra-Galactic Star-formation and Active Galactic Nuclei at 0.5 < z < 3.6

description: GRISMCONF configurations files used in Pirzkal et al. 2024. These contain the full field calibrated solution for the dispersion solution, trace as well as wavelength calibration. They provide a mean to extract NIRISS WFSS spectra obtained using the F115W, F150W, or F200W to within an acccuracy better than 0.25 pixel over most of the field of view.  Wavelength calibration of both grism was verified to be accurate to within 15A over most of the field of view. Details can be found in Appendix A of Pirzkal et al. 2024.
DOI: 10.5281/zenodo.10971585
title: Searching to improve connectivity in fragmented landscapes: Road verges as complementary habitats

description: Abstract

Aims: Functional connectivity is crucial for conserving biodiversity and ecosystem services in fragmented landscapes. Linear landscape elements play an important role in providing refuge for plants and pollinators, as well as serving as biological corridors. The aim of this study was to assess the importance of road verges in maintaining the ecological connectivity of plant species assemblages in the Tandilia mountain system.

Location: South America. Southern Pampa region of Argentina. Tandilia mountain system.

Methods: Using graph theory, landscape connectivity was quantified both at landscape scale and at the patch scale using the probability connectivity index (PCnum), taking into account the dispersal ability of observed species.  The contribution of each landscape element to habitat availability and connectivity was evaluated using different fractions of the PCnum metric. Likewise, the influence of connectivity variables in explaining species assemblages grouped by functional categories was investigated using canonical ordination techniques.

Results: The inclusion of road verges led to an 81% increase in overall connectivity at a threshold distance of 500 m. Connectivity significantly explained the assemblages of entomophilous plant species for all dispersal distances. Annual species assemblage variation was associated with intra-patch connectivity. Variation in perennial and shrub species assemblages was explained by intra-patch and inter-patch connectivity.

Conclusions: Preservation and restoration of these linear landscape elements play a pivotal role in transitioning towards more sustainable agroecosystems. This ecological and practical information may help prioritize plant species and the sites used to restore an essential but neglected ecosystem.

This dataset includes: 



GPS coordinates for sampling sites.

Data matrix includes sites x presence-absence of entomophilous plant species for the 54 sampling sites, 20 sierras and 34 rural road verges. The sierras are listed by name, while the road verges are identified by numbers.
DOI: 10.5281/zenodo.10974711
title: Test_file
DOI: 10.5281/zenodo.10971651
title: Anàlisi comparativa de Preus de Supermercat: Un Conjunt de Dades Extret a Partir de Web Scraping

description: Aquesta base de dades ofereix un recull detallat de dades sobre els preus i els productes de tres de les principals cadenes de supermercats d'Espanya: Consum, Dia i Supermercats Mas. Les tècniques avançades de recopilació de dades de la web es van utilitzar per recopilar dades per a anàlisis comparatives de preus, investigacions de mercat i estudis acadèmics sobre economia de consumidor.

Les dades es van obtenir l'14 de febrer de 2024 i representen els preus i la disponibilitat de productes en aquella data específica. Cada registre del dataset conté la següent informació per a cada producte listat:



Nom del producte

Marca

Preu

Supermercat on el producte és venut

URL directa a la pàgina del producte per a més informació


El procés de recollida de dades es va dur a terme a través de scripts de Python, utilitzant la llibreria Selenium per interactuar amb els llocs web dinàmics de Consum i BeautifulSoup per obtenir dades dels llocs web més estàtics de Dia i Supermercados Mas. Aquest enfocament assegura una recollida de dades precisa i actualitzada, adaptant-se als diferents entorns web dels supermercats.
DOI: 10.5281/zenodo.10974615
title: Nanopore reads for course 27255 2024
DOI: 10.5281/zenodo.10974710
title: Test_file
DOI: 10.5281/zenodo.7523031
title: SDG Knowledge Hub Dataset of SDG-labeled News Articles

description: Dataset of articles published on the IISD SDG Knowledge Hub (sdg.iisd.org). The SDG Knowledge Hub is an online resource publishing news and commentary regarding the implementation of the United Nations’ 2030 Agenda for Sustainable Development and the Sustainable Development Goals (SDGs). Labels assigned by the authors and validated by SDG Knowledge Hub editors indicate which of the 17 SDGs an article addresses.

The data set was generated for the following publications. Please consider citing the publication if you use the data. 

Wulff, D. U., Meier, D. S., & Mata, R. (2023). Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals. arXiv preprint arXiv:2301.11353.

The data contain 9,172 articles downloaded on September 15th, 2021, and are shared with permission from the SDG Knowledge Hub.

The comma-separated data file includes the following columns:

url - URL of the article.

title - Title of the article.

type - Type of article. Either "News", "Policy briefs", "Guest articles", or "Generation 30". 

text - Text of the article. 

date - Publishing date of article.

sdgs - SDG labels assigned by authors and editors. 

SDG-01 to SDG-17 - SDG indicators extracted from the author and editor label.
DOI: 10.15468/dl.69ajnq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polyscias bipinnata (Gibbs) Philipson"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033760-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.