cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7274/28329533
title: Modeling the Dynamics of Perceived Burdensomeness, Thwarted Belongingness, and Suicidal Ideation in Continuous Time

description: Introduction
The Interpersonal Theory of Suicide (ITS) posits that perceived burdensomeness (PB) and thwarted belongingness (TB) are central to suicidal ideation (SI). The ITS proposes that either PB or TB alone are sufficient to develop passive SI; however, both are required to develop active SI. Previous studies have failed to consistently find a proximal relationship between PB, TB, and SI, possibly due to reliance on discrete time modeling. This study aims to use continuous time modeling to examine the relationship between PB and TB with passive and active SI.
Methods
Three independent samples of participants with recent suicidal thoughts and behaviors were recruited. In the first (N = 49) and second (N = 35) samples, participants completed 28-day and 30-day ecological momentary assessment (EMA) periods, receiving six and four daily surveys, respectively. In the third sample (N = 57), participants completed 28-days of EMA receiving either four daily surveys with one week of 10 daily surveys, or 3-15 daily surveys, varying randomly. Each EMA survey assessed PB, TB, passive SI, and active SI using two items per construct. Continuous time residual dynamic structural equation models (CT-RDSEM) were used to examine the relationship between PB and TB with passive SI and active SI separately. Dataset was introduced as a time-invariant covariate. Auto- and cross-effect drift rates were estimated to capture the influence of a variable on the instantaneous rate of change on another variable. In this framework, positive effects indicate shifts away from equilibrium, whereas negative effects indicate resistance to shifts away from equilibrium.
Results
There were significant negative drift rates of passive SI on itself (-1.02, 95% CI [-1.11, -0.94]) and TB on passive SI (-0.045, 95% CI [-0.095, -0.007]). PB did not show a significant drift rate on passive SI. For active SI, there were negative significant drift rates of active SI on itself (-0.97, 95% CI [-1.06, -0.84]), PB on active SI (-0.067, 95% CI [-0.15, -0.02]), and TB on active SI (-0.06, 95% CI [-0.16, -0.01]). Dataset did not significantly influence drift rates.
Discussion
These findings suggest that both passive and active SI exhibit significant auto-effects, reducing their own rates of change and resisting shifts from equilibrium. For passive SI, TB showed a cross-effect, while for active SI, both PB and TB demonstrated cross-effects. These cross-effects similarly work to maintain current SI levels rather than drive increases (or decreases). In contrast to the ITS, which posits that PB and TB directly relate to the development of SI, continuous time modeling results suggest that PB and TB may play a role in maintaining a person's current level of SI, rather than being a driving factor for increases in SI.
DOI: 10.7274/28329533.v1
title: Modeling the Dynamics of Perceived Burdensomeness, Thwarted Belongingness, and Suicidal Ideation in Continuous Time

description: Introduction
The Interpersonal Theory of Suicide (ITS) posits that perceived burdensomeness (PB) and thwarted belongingness (TB) are central to suicidal ideation (SI). The ITS proposes that either PB or TB alone are sufficient to develop passive SI; however, both are required to develop active SI. Previous studies have failed to consistently find a proximal relationship between PB, TB, and SI, possibly due to reliance on discrete time modeling. This study aims to use continuous time modeling to examine the relationship between PB and TB with passive and active SI.
Methods
Three independent samples of participants with recent suicidal thoughts and behaviors were recruited. In the first (N = 49) and second (N = 35) samples, participants completed 28-day and 30-day ecological momentary assessment (EMA) periods, receiving six and four daily surveys, respectively. In the third sample (N = 57), participants completed 28-days of EMA receiving either four daily surveys with one week of 10 daily surveys, or 3-15 daily surveys, varying randomly. Each EMA survey assessed PB, TB, passive SI, and active SI using two items per construct. Continuous time residual dynamic structural equation models (CT-RDSEM) were used to examine the relationship between PB and TB with passive SI and active SI separately. Dataset was introduced as a time-invariant covariate. Auto- and cross-effect drift rates were estimated to capture the influence of a variable on the instantaneous rate of change on another variable. In this framework, positive effects indicate shifts away from equilibrium, whereas negative effects indicate resistance to shifts away from equilibrium.
Results
There were significant negative drift rates of passive SI on itself (-1.02, 95% CI [-1.11, -0.94]) and TB on passive SI (-0.045, 95% CI [-0.095, -0.007]). PB did not show a significant drift rate on passive SI. For active SI, there were negative significant drift rates of active SI on itself (-0.97, 95% CI [-1.06, -0.84]), PB on active SI (-0.067, 95% CI [-0.15, -0.02]), and TB on active SI (-0.06, 95% CI [-0.16, -0.01]). Dataset did not significantly influence drift rates.
Discussion
These findings suggest that both passive and active SI exhibit significant auto-effects, reducing their own rates of change and resisting shifts from equilibrium. For passive SI, TB showed a cross-effect, while for active SI, both PB and TB demonstrated cross-effects. These cross-effects similarly work to maintain current SI levels rather than drive increases (or decreases). In contrast to the ITS, which posits that PB and TB directly relate to the development of SI, continuous time modeling results suggest that PB and TB may play a role in maintaining a person's current level of SI, rather than being a driving factor for increases in SI.
DOI: 10.15468/dl.twc2ae
title: Occurrence Download

description: A dataset containing 35495 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Picrodendraceae)"
 ]
}

 The dataset includes 35495 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020856-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdhqtn
title: Occurrence Download

description: A dataset containing 88215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Connaraceae)"
 ]
}

 The dataset includes 88215 records from 654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020857-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mejcje
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aspilia leucoglossa Malme",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 77 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008185-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qpvbbg
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinguicula toldensis Casper"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008079-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rggijp
title: Occurrence Download

description: A dataset containing 216 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Protea glabra Thunb."
 ]
}

 The dataset includes 216 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014758-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.clde19
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Indicator meliphilus (Oberholser, 1905)"
 ]
}

 The dataset includes 341 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008185-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c3mqx
title: Occurrence Download

description: A dataset containing 1858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Macrothelypteris oligophlebia (Baker) Ching"
 ]
}

 The dataset includes 1858 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053182-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnvp98
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centruroides balsasensis Ponce & Francke, 2004"
 ]
}

 The dataset includes 175 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065747-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2kfb5
title: Occurrence Download

description: A dataset containing 647691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 {
 "or" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "DatasetKey is Norwegian Species Observation Service"
 ]
 },
 "MediaType is Image"
 ]
}

 The dataset includes 647691 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008185-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v34bh5
title: Occurrence Download

description: A dataset containing 3808 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acalypha australis L."
 ]
}

 The dataset includes 3808 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053154-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbtvdc
title: Occurrence Download

description: A dataset containing 987480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arecaceae"
 ]
}

 The dataset includes 987480 records from 1295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070690-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ajknr
title: Occurrence Download

description: A dataset containing 3357910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 3357910 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087774-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7zp5ry
title: Occurrence Download

description: A dataset containing 4171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Poecilia reticulata Peters, 1859"
 ]
}

 The dataset includes 4171 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061552-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2frhw
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-132.73007 12.21323,-64.58133 12.21323,-64.58133 39.47272,-132.73007 39.47272,-132.73007 12.21323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratitis capitata (Wiedemann, 1824)"
 ]
}

 The dataset includes 708 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069407-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0187960.10fu
title: SH0187960.10FU

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/sh0187961.10fu
title: SH0187961.10FU

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/sh0187962.10fu
title: SH0187962.10FU

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/sh0187963.10fu
title: SH0187963.10FU

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/sh0187964.10fu
title: SH0187964.10FU

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/sh0187965.10fu
title: SH0187965.10FU

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/sh0187966.10fu
title: SH0187966.10FU

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/sh0187967.10fu
title: SH0187967.10FU

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.h6vexj
title: Occurrence Download

description: A dataset containing 765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus affinis",
 "HasCoordinate is true",
 "Year is 1900,2026"
 ]
}

 The dataset includes 765 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001879-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0187968.10fu
title: SH0187968.10FU

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.