cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0190015.10fu
title: SH0190015.10FU

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/sh0190016.10fu
title: SH0190016.10FU

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/sh0190017.10fu
title: SH0190017.10FU

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/sh0190018.10fu
title: SH0190018.10FU

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/sh0190019.10fu
title: SH0190019.10FU

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/sh0190020.10fu
title: SH0190020.10FU

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/sh0190021.10fu
title: SH0190021.10FU

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/sh0190022.10fu
title: SH0190022.10FU

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/sh0190023.10fu
title: SH0190023.10FU

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/sh0190024.10fu
title: SH0190024.10FU

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: 10.5281/zenodo.14839901
title: unimpeded: walcdm planck_2018_CamSpec

description: cosmological model:walcdm, dataset:planck_2018_CamSpec
DOI: 10.5281/zenodo.14839902
title: unimpeded: walcdm planck_2018_CamSpec

description: cosmological model:walcdm, dataset:planck_2018_CamSpec
DOI: 10.6084/m9.figshare.28378826
title: <b>Archived data for the manuscript "</b><b>Acclimation and de-acclimation of photosystem heat tolerance of alpine plants in response to multiday heat exposure in the field</b><b>".</b>

description: An <i>in situ </i>warming experiment exploring the acclimation and recovery of the photosystem heat tolerance trait T<sub>crit</sub> during a 6 day heat treatment and 6 days recovery. We established field plots and selected eight species (graminoids, herbs, and shrubs) to compare unheated plots to heated plots in an Australian alpine grassy herbfield. We actively heated chambers with convective heaters to target day/night temperatures of 32/22°C. Leaves for photosystem heat tolerance assays were sampled daily for six days during heat treatments and six days post-heating. We used chlorophyll fluorescence imaging to derive the critical temperature for photosystem II disruption to function (T<sub>crit</sub>) by heating leaves up to 70°C
DOI: 10.6084/m9.figshare.28378826.v1
title: <b>Archived data for the manuscript "</b><b>Acclimation and de-acclimation of photosystem heat tolerance of alpine plants in response to multiday heat exposure in the field</b><b>".</b>

description: An <i>in situ </i>warming experiment exploring the acclimation and recovery of the photosystem heat tolerance trait T<sub>crit</sub> during a 6 day heat treatment and 6 days recovery. We established field plots and selected eight species (graminoids, herbs, and shrubs) to compare unheated plots to heated plots in an Australian alpine grassy herbfield. We actively heated chambers with convective heaters to target day/night temperatures of 32/22°C. Leaves for photosystem heat tolerance assays were sampled daily for six days during heat treatments and six days post-heating. We used chlorophyll fluorescence imaging to derive the critical temperature for photosystem II disruption to function (T<sub>crit</sub>) by heating leaves up to 70°C
DOI: 10.15468/dl.46dywn
title: Occurrence Download

description: A dataset listing the 32 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Caracterización biológica en la Serranía de San Lucas 2015",
 "TaxonKey is Squamata"
 ]
}

 The dataset's 32 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022015-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14842083
title: my sat

description: sat
DOI: 10.5281/zenodo.14842084
title: my sat

description: sat
DOI: 10.15468/dl.bedmrz
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium densifolium C.A.Gardner"
 ]
}

 The dataset includes 55 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022032-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5agnzd
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Dryophylax dixoni"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022034-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839526
title: unimpeded: klcdm planck_2018_plik

description: cosmological model:klcdm, dataset:planck_2018_plik
DOI: 10.5281/zenodo.14839527
title: unimpeded: klcdm planck_2018_plik

description: cosmological model:klcdm, dataset:planck_2018_plik
DOI: 10.15468/dl.pby2vj
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gastrolobium diabolophyllum G.Chandler, Crisp & R.J.Bayer"
 ]
}

 The dataset includes 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022035-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p564md
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material citation)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Thamnodynastes dixoni"
 ]
}

 The dataset includes 31 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022036-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2rb3j
title: Occurrence Download

description: A dataset containing 182447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is one of (Cuba, El Salvador, Bahamas, Haiti, Jamaica, Barbados, Trinidad and Tobago, Grenada, Saint Vincent and the Grenadines, Antigua and Barbuda, Saint Lucia, Dominica, Saint Kitts and Nevis, Belize, Canada, Mexico, Costa Rica, Guatemala, Panama, Honduras, Nicaragua, Dominican Republic, Puerto Rico, Cayman Islands, Guadeloupe, Saint Pierre and Miquelon, Bermuda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "TaxonKey is Picidae",
 "Year 2023-2025"
 ]
}

 The dataset includes 182447 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022019-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnnare
title: Occurrence Download

description: A dataset containing 22644969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Branta canadensis (Linnaeus, 1758)"
 ]
}

 The dataset includes 22644969 records from 1620 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022018-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29552974
title: Toward sustainable transportation: A systematic review of EV charging station locations

description: The increase in electric vehicles (EVs) has boosted scientific investigation about identifying suitable locations for EV charging stations (EVCSs). Yet, different methodologies and criteria often lead to differing conclusions regarding suitable EVCS locations. This raises a critical question for planners and policymakers: In the large body of scientific literature on EVCS placement, what Points of Interest (PoI) and Geographic attributes (GAs) are used to determine suitable sites for EV infrastructure deployment? This article uses a systematic literature review to dive deep into where EVCS should be placed. The review identified a pool of 28 PoIs and 11 GAs used in EVCS allocation to support the planning process. These included various shopping locations such as supermarkets, shopping malls, residential areas, power and transport infrastructure layouts, etc. Additionally, the review suggests PoIs and GAs are affected by geographical scale and context. These identified PoIs and GAs should be used as foundational insights by planners and policymakers when planning to deploy EVCSs, thereby supporting the transition to sustainable mobility.
DOI: 10.6084/m9.figshare.29552974.v1
title: Toward sustainable transportation: A systematic review of EV charging station locations

description: The increase in electric vehicles (EVs) has boosted scientific investigation about identifying suitable locations for EV charging stations (EVCSs). Yet, different methodologies and criteria often lead to differing conclusions regarding suitable EVCS locations. This raises a critical question for planners and policymakers: In the large body of scientific literature on EVCS placement, what Points of Interest (PoI) and Geographic attributes (GAs) are used to determine suitable sites for EV infrastructure deployment? This article uses a systematic literature review to dive deep into where EVCS should be placed. The review identified a pool of 28 PoIs and 11 GAs used in EVCS allocation to support the planning process. These included various shopping locations such as supermarkets, shopping malls, residential areas, power and transport infrastructure layouts, etc. Additionally, the review suggests PoIs and GAs are affected by geographical scale and context. These identified PoIs and GAs should be used as foundational insights by planners and policymakers when planning to deploy EVCSs, thereby supporting the transition to sustainable mobility.
DOI: 10.15468/dl.8jy68x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athaumastus lugens",
 "HasCoordinate is True"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030121-250920141307145/datasets/export for details.
DOI: 10.15468/dl.cytjby
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Petrosedum ochroleucum",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030123-250920141307145/datasets/export for details.
DOI: 10.15468/dl.93jtey
title: Occurrence Download

description: A dataset containing 17261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mixornis gularis",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17261 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030122-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsuk87
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Petrosedum ochroleucum",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030124-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.285pdd
title: Occurrence Download

description: A dataset containing 15732286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "Geometry POLYGON((-0.00553 43.48082,14.55715 43.48082,14.55715 49.30436,-0.00553 49.30436,-0.00553 43.48082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 15732286 records from 305 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030057-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.