cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive8336.20241212.9.2
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8336.20251217.10
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076382.10fu
title: SH0076382.10FU

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: 10.13145/bacdive8337.20241212.9.2
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8337.20251217.10
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076383.10fu
title: SH0076383.10FU

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: 10.13145/bacdive8338.20241212.9.2
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8338.20251217.10
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076384.10fu
title: SH0076384.10FU

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: 10.13145/bacdive8339.20250331.9.3
title: Mycobacterium lehmannii Nouioui et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076385.10fu
title: SH0076385.10FU

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: 10.13145/bacdive8339.20251217.10
title: Mycobacterium lehmannii Nouioui et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive8340.20241212.9.2
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076386.10fu
title: SH0076386.10FU

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: 10.13145/bacdive8340.20251217.10
title: Mycobacterium sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0076387.10fu
title: SH0076387.10FU

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.bvn8rt
title: Occurrence Download

description: A dataset containing 7971 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Verbena rigida)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7971 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076519-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8xs3tv
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chusquea tessellata Munro",
 "Year 2010-2025"
 ]
}

 The dataset includes 122 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002290-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5uvfug
title: Occurrence Download

description: A dataset containing 31007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bromus rubens L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 31007 records from 411 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002289-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkqfjg
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myobatrachus gouldii (Gray, 1841)",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 113 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002291-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rhn2e
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epidendrum coronatum Ruiz & Pav."
 ]
}

 The dataset includes 288 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002257-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3bceq
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Epidendrum coronatum Ruiz & Pav."
 ]
}

 The dataset includes 91 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002292-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.srsuhw
title: Occurrence Download

description: A dataset containing 8823902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "Year is 2020",
 "Month is October"
 ]
}

 The dataset includes 8823902 records from 316 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002281-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aa3n64
title: Occurrence Download

description: A dataset containing 5005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Persea americana Mill.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5005 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002258-250227182400228/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.28351292
title: Which is superior, the University of Pennsylvania Smell Identification Test or the threshold, Discrimination and Identification Test for testing human olfaction? A systematic review

description: The awareness and prevalence of olfactory dysfunction (OD) has increased significantly in recent years, with the SARS-CoV-2 pandemic being a major catalyzer. Consequently, demands for reliable OD tests have also risen. This systematic review compares two commonly used tests for olfactory assessment: the University of Pennsylvania Smell Identification Test (UPSIT) and the Threshold, Discrimination, and Identification test (TDI). The correlation between UPSIT, TDI, and the Visual Analogue Scale (VAS) for olfaction is also examined. A systematic search of PubMed and EMBASE identified articles validating UPSIT or TDI and comparing these to self-reported OD <i>via</i> VAS. The outcome of interest was test-retest validity and correlation. The search identified 1536 studies, with nine meeting inclusion criteria. UPSIT showed a ‘very strong’ test-retest correlation, while TDI showed a ‘strong’ correlation. One study addressed VAS in relation to UPSIT and five for TDI. Correlation coefficients varied between VAS and TDI/UPSIT. UPSIT and TDI exhibited strong to very strong test-retest reliability. Due to the limited number of studies, a meta-analysis was not feasible, and neither test was found to be superior in reliability. VAS did not correlate significantly with either TDI or UPSIT.
DOI: 10.6084/m9.figshare.28351292.v1
title: Which is superior, the University of Pennsylvania Smell Identification Test or the threshold, Discrimination and Identification Test for testing human olfaction? A systematic review

description: The awareness and prevalence of olfactory dysfunction (OD) has increased significantly in recent years, with the SARS-CoV-2 pandemic being a major catalyzer. Consequently, demands for reliable OD tests have also risen. This systematic review compares two commonly used tests for olfactory assessment: the University of Pennsylvania Smell Identification Test (UPSIT) and the Threshold, Discrimination, and Identification test (TDI). The correlation between UPSIT, TDI, and the Visual Analogue Scale (VAS) for olfaction is also examined. A systematic search of PubMed and EMBASE identified articles validating UPSIT or TDI and comparing these to self-reported OD <i>via</i> VAS. The outcome of interest was test-retest validity and correlation. The search identified 1536 studies, with nine meeting inclusion criteria. UPSIT showed a ‘very strong’ test-retest correlation, while TDI showed a ‘strong’ correlation. One study addressed VAS in relation to UPSIT and five for TDI. Correlation coefficients varied between VAS and TDI/UPSIT. UPSIT and TDI exhibited strong to very strong test-retest reliability. Due to the limited number of studies, a meta-analysis was not feasible, and neither test was found to be superior in reliability. VAS did not correlate significantly with either TDI or UPSIT.
DOI: 10.15468/dl.bfw7kd
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-9.59801 36.28341,-6.01942 36.28341,-6.01942 42.18645,-9.59801 42.18645,-9.59801 36.28341))",
 "OccurrenceStatus is Present",
 "TaxonKey is Limosella aquatica L.",
 "Year 1975-2025"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002296-250227182430271/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.28518439
title: Hiding in plain sight: massive gender displays and the ambivalent reproduction of gender status

description: This paper uses the method of concerned photography to examine the reproduction and disruption of gender status through <i>urbanscapes</i> comprising statues, outdoor advertisements, mural artworks, and other materialized gender displays in public spaces. We propose the sensitizing concept of ‘massive gender displays’ to analyse our corpus of photographs from cities in European countries and in the USA. Massive gender displays are subtypes of ‘gender displays’ understood, in a Goffmanian sense, as communicative acts that perform and reconstruct the social structure of gender. Relative to overall representations of gender in public settings, massive gender displays are remarkable either through size, as very large objects (‘colossal displays’), or through repetition, as collections of representations that are scattered in space (‘distributed displays’) or concentrated and visible at-a-glance (‘choral displays’). As a rule, massiveness has an empowering effect in the public display of masculine characters; yet it is often a disempowering feature in the portrayal of women, accentuating absence, marginality, devaluation, exceptionality, and vulnerability. Still, massive displays may disrupt gender status hierarchies, in exceptional cases. Therefore, we invite all people who experience city life, be it as citizens, residents, researchers, students, designers, policy makers, activists, workers, tourists, or otherwise, to pay attention to displays’ massiveness as a feature that ambivalently reproduces and disrupts gender status and inequalities of power, and thus partakes in the construction of gender as a social institution.
DOI: 10.6084/m9.figshare.28518439.v1
title: Hiding in plain sight: massive gender displays and the ambivalent reproduction of gender status

description: This paper uses the method of concerned photography to examine the reproduction and disruption of gender status through <i>urbanscapes</i> comprising statues, outdoor advertisements, mural artworks, and other materialized gender displays in public spaces. We propose the sensitizing concept of ‘massive gender displays’ to analyse our corpus of photographs from cities in European countries and in the USA. Massive gender displays are subtypes of ‘gender displays’ understood, in a Goffmanian sense, as communicative acts that perform and reconstruct the social structure of gender. Relative to overall representations of gender in public settings, massive gender displays are remarkable either through size, as very large objects (‘colossal displays’), or through repetition, as collections of representations that are scattered in space (‘distributed displays’) or concentrated and visible at-a-glance (‘choral displays’). As a rule, massiveness has an empowering effect in the public display of masculine characters; yet it is often a disempowering feature in the portrayal of women, accentuating absence, marginality, devaluation, exceptionality, and vulnerability. Still, massive displays may disrupt gender status hierarchies, in exceptional cases. Therefore, we invite all people who experience city life, be it as citizens, residents, researchers, students, designers, policy makers, activists, workers, tourists, or otherwise, to pay attention to displays’ massiveness as a feature that ambivalently reproduces and disrupts gender status and inequalities of power, and thus partakes in the construction of gender as a social institution.
DOI: 10.15468/dl.qf3nkf
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Continent is South America",
 "Country is Colombia",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Galictis vittata (Schreber, 1776)"
 ]
}

 The dataset includes 223 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002293-250227182430271/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.28184487
title: Bacterial, Archaeal, and Eukaryotic Life of Volcanic Cave Features from Lava Beds National Monument, California, USA

description: Volcanic caves present a variety of surfaces that host unique life, but most microbiology studies of these environments to date have focused on colorful and sometimes abundant biofilms, while largely ignoring ooze and hard secondary mineral deposits. In this study, we conducted 16S/18S rRNA gene sequencing with bacterial, archaeal, and eukaryotic domain-specific primer sets, focusing on a broad spectrum of volcanic cave features in Lava Beds National Monument grouped into ‘microbial-dominant’ (biofilms and ooze) and ‘mineral-dominant’ (secondary mineral deposits). While there are differences between individual mineral-dominant features, collectively, microbial communities associated with these features are distinct from those of microbial-dominant based on prokaryotic beta diversity metrics. Mineral-dominant features are not merely a subset of the microbial-dominant owing to their similar alpha diversity scores and unique ASVs. Ooze is distinct from all other categories due to the near absence of otherwise abundant Actinobacteriota and abundance of taxa associated with roles in ammonia and nitrite oxidation. Differences in eukaryotic communities were associated with the sampling year rather than feature type, suggesting that cave eukaryotes have a more transient lifestyle than prokaryotes. Overall, these results provide evidence that mineral-dominant features and ooze are microbiologically distinct from more-often-studied cave biofilms.