cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive109176.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109177.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109177.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109178.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109178.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109179.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive109179.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0100898.10fu
title: SH0100898.10FU

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/sh1122178.10fu
title: SH1122178.10FU

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/sh1122183.10fu
title: SH1122183.10FU

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/sh1122186.10fu
title: SH1122186.10FU

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/sh1122187.10fu
title: SH1122187.10FU

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/sh1122189.10fu
title: SH1122189.10FU

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/sh1122191.10fu
title: SH1122191.10FU

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/sh1122192.10fu
title: SH1122192.10FU

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/sh1122193.10fu
title: SH1122193.10FU

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: 10.5522/04/29967745
title: Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during listening

description: The data (eye tracking and behavior) reported in Liu & Chait (2025).Abstract:Emerging evidence suggests that ocular dynamics, pupil dilation, eye movements, and blinks, can serve as markers of task engagement. In this study, we examined whether these measures dissociate different perceptual states during an auditory attention task. Participants (Main and Control experiments; N = 34 and 27, both sexes) listened to tone sequences designated as ‘Target’, ‘Distractor’, and ‘Probe’, designed to isolate active attention from suppression of irrelevant input. We focused on four physiological signals: pupil diameter (PD), pupil dilation rate (PDR), blink rate, and microsaccades (MS). Compared to a control condition, both Target and Probe intervals elicited sustained PD increases, blink suppression, and prolonged MS inhibition consistent with heightened arousal and extended attentional engagement. The Distractor interval also showed prolonged blink suppression and elevated PDR, suggesting active arousal during the suppression of irrelevant input. Notably, however, MS dynamics during the Distractor were indistinguishable from those in the control condition, demonstrating no difference between active distractor suppression and passive listening. This dissociation supports the interpretation that MS rate is specifically modulated by attention allocation, while PD and blinks also reflect general arousal or suppressive mechanisms. Overall, these findings reveal that PD, MS, and blinking capture distinct aspects of cognitive control. Together, they offer a multidimensional framework for studying selective attention and distractor suppression in complex tasks.
DOI: 10.5522/04/29967745.v1
title: Dissociable Pupil and Oculomotor Markers of Attention Allocation and Distractor Suppression during listening

description: The data (eye tracking and behavior) reported in Liu & Chait (2025).Abstract:Emerging evidence suggests that ocular dynamics, pupil dilation, eye movements, and blinks, can serve as markers of task engagement. In this study, we examined whether these measures dissociate different perceptual states during an auditory attention task. Participants (Main and Control experiments; N = 34 and 27, both sexes) listened to tone sequences designated as ‘Target’, ‘Distractor’, and ‘Probe’, designed to isolate active attention from suppression of irrelevant input. We focused on four physiological signals: pupil diameter (PD), pupil dilation rate (PDR), blink rate, and microsaccades (MS). Compared to a control condition, both Target and Probe intervals elicited sustained PD increases, blink suppression, and prolonged MS inhibition consistent with heightened arousal and extended attentional engagement. The Distractor interval also showed prolonged blink suppression and elevated PDR, suggesting active arousal during the suppression of irrelevant input. Notably, however, MS dynamics during the Distractor were indistinguishable from those in the control condition, demonstrating no difference between active distractor suppression and passive listening. This dissociation supports the interpretation that MS rate is specifically modulated by attention allocation, while PD and blinks also reflect general arousal or suppressive mechanisms. Overall, these findings reveal that PD, MS, and blinking capture distinct aspects of cognitive control. Together, they offer a multidimensional framework for studying selective attention and distractor suppression in complex tasks.
DOI: 10.15468/dl.rw4uh5
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.73078 37.1921,-6.67889 36.89867,-6.48679 36.66789,-6.42916 36.29721,-5.94892 35.94031,-5.1085 35.91868,-4.83957 36.07409,-4.08079 36.47674,-4.26235 36.90079,-4.7618 37.39841,-6.00082 37.55086,-6.73078 37.1921))",
 "HasGeospatialIssue is false",
 "TaxonKey is Holcus grandiflorus Boiss. & Reut."
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010026-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bu56zg
title: Occurrence Download

description: A dataset containing 73532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Lepisosteiformes"
 ]
}

 The dataset includes 73532 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240984-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11479741
title: Cross cultural tears: A systematic investigation of the interpersonal effects of emotional crying across different cultural backgrounds

description: The present project wants to examine the importance of emotional crying as an attachment behaviour and its fundamental role across a number of diverse cultures.

Emotional tears are uniquely human and have fascinated scholars across several decades (Vingerhoets, 2013). Some researchers argue that tearful crying played a significant role in the evolution of humankind with regard to social development and solidarity (Walter, 2006). Recent years have seen an increased interest in exploring the interpersonal effects of human tears (see Gračanin, Bylsma, & Vingerhoets, 2018 for a review), with findings that emotional tears foster approach or support behavior (Gračanin, Krahmer, Rinck, & Vingerhoets, 2018) and crying individuals being evaluated as more communal (e.g., Zickfeld, van de Ven, Schubert, & Vingerhoets, 2018). These findings generally fit the hypothesis that emotional tears constitute a social act, promote social bonding and fulfill an attachment function (Nelson, 2005; Bowlby, 1982; Gračanin, Bylsma, et al., 2018; Murube, Murube, & Murube, 1999; Radcliffe-Brown, 1922; Vingerhoets, 2013). The present projects aims to answer the question whether emotional tears present a fundamental form of solidarity and bonding and whether the findings on increased attributions of warmth and higher approach intentions for tearful individuals replicate across a number of diverse contexts.

Published in OSF: https://osf.io/fj9bd.

The OPen SCience FRamework also includes:



Data from the pilot study: https://osf.io/txcw3/

General information about the translation process (including the Portuguese version https://osf.io/t4cas/),

Data management and research protocol (https://osf.io/5bh7m/),

Approvals from ethical committees (https://osf.io/v8rqh/),

Data and descriptive document of supplementary analyses (https://osf.io/s8ack/),

Data and syntax (https://osf.io/x2pks/),

Information about stimuli (https://osf.io/x2pks/)
DOI: 10.5281/zenodo.11479742
title: Cross cultural tears: A systematic investigation of the interpersonal effects of emotional crying across different cultural backgrounds

description: The present project wants to examine the importance of emotional crying as an attachment behaviour and its fundamental role across a number of diverse cultures.

Emotional tears are uniquely human and have fascinated scholars across several decades (Vingerhoets, 2013). Some researchers argue that tearful crying played a significant role in the evolution of humankind with regard to social development and solidarity (Walter, 2006). Recent years have seen an increased interest in exploring the interpersonal effects of human tears (see Gračanin, Bylsma, & Vingerhoets, 2018 for a review), with findings that emotional tears foster approach or support behavior (Gračanin, Krahmer, Rinck, & Vingerhoets, 2018) and crying individuals being evaluated as more communal (e.g., Zickfeld, van de Ven, Schubert, & Vingerhoets, 2018). These findings generally fit the hypothesis that emotional tears constitute a social act, promote social bonding and fulfill an attachment function (Nelson, 2005; Bowlby, 1982; Gračanin, Bylsma, et al., 2018; Murube, Murube, & Murube, 1999; Radcliffe-Brown, 1922; Vingerhoets, 2013). The present projects aims to answer the question whether emotional tears present a fundamental form of solidarity and bonding and whether the findings on increased attributions of warmth and higher approach intentions for tearful individuals replicate across a number of diverse contexts.

Published in OSF: https://osf.io/fj9bd.

The OPen SCience FRamework also includes:



Data from the pilot study: https://osf.io/txcw3/

General information about the translation process (including the Portuguese version https://osf.io/t4cas/),

Data management and research protocol (https://osf.io/5bh7m/),

Approvals from ethical committees (https://osf.io/v8rqh/),

Data and descriptive document of supplementary analyses (https://osf.io/s8ack/),

Data and syntax (https://osf.io/x2pks/),

Information about stimuli (https://osf.io/x2pks/)
DOI: 10.15468/dl.py8629
title: Occurrence Download

description: A dataset containing 15793 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus trionum L."
 ]
}

 The dataset includes 15793 records from 417 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242578-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qndje8
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium cernagorae Zahn"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243221-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zw584s
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hermannia bicolor Dinter & Engl."
 ]
}

 The dataset includes 23 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240989-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xw9dhy
title: Occurrence Download

description: A dataset containing 1821 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-77.71873 -5.69565,-77.70902 -5.76471,-77.55362 -5.9309,-77.36693 -6.04313,-77.3119 -5.9827,-77.44031 -5.8327,-77.6065 -5.71184,-77.71873 -5.69565))"
 ]
}

 The dataset includes 1821 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011074-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsmrvh
title: Occurrence Download

description: A dataset containing 904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is TWN.7_1",
 "TaxonKey is Larus crassirostris Vieillot, 1818",
 "Year 2015-2023"
 ]
}

 The dataset includes 904 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0242574-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69mqg2
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium chaboissaei Arv.-Touv."
 ]
}

 The dataset includes 72 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0243222-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.