cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30197524
title: Supplementary Material for: Predictors of Consent to Online and Genetic Research among Adults on the MindCrowd Cognitive Health Platform

description: Introduction: MindCrowd is an online cognitive health platform that engages adults in a 10-minute experience, including the paired-associates learning (PAL) test, a demographic survey, and an option to be contacted for future research. This study’s objective was to identify factors associated with consent to research studies. 

Methods: Adults from US zip codes, who joined MindCrowd from 06/17/2022–12/31/2024 and agreed to be contacted for future research, were eligible for the study. Outcomes included consent to online cognitive health surveys (MindCrowd Expanded) and genetic testing for AD risk via mailed self-collection kit. Variables of interest included age, sex, race, ethnicity, education, socioeconomic vulnerability, family history of AD, and PAL test score. Consent was modeled using multivariable logistic regression, generating adjusted odds ratios (aOR) and 95% confidence intervals (CI).

Results: 52,113 MindCrowd participants were study-eligible – 19.1% consented to MindCrowd Expanded and 9.5% to genetic testing. Compared with White individuals, Black individuals had 58% and 75% lower odds of consenting to MindCrowd Expanded [aOR=0.42(95% CI=0.37-0.48)] and genetic testing [aOR=0.25(95% CI=0.20-0.32)], respectively. Compared with non-Hispanic individuals, Hispanic individuals had 26% and 37% lower odds of consenting to MindCrowd Expanded [aOR=0.74(95% CI=0.68-0.80)] and genetic studies [aOR=0.63(95% CI=0.56-0.71)], respectively.

Conclusion: Despite previous research demonstrating that Black and Hispanic MindCrowd participants were more willing to be contacted for future research than White participants, findings from this study suggest hesitancy to consent to online cognitive aging research and genetic testing. A more intentional approach may be necessary to retain MindCrowd participants from underrepresented communities in cognitive research studies.
DOI: 10.6084/m9.figshare.30197524.v1
title: Supplementary Material for: Predictors of Consent to Online and Genetic Research among Adults on the MindCrowd Cognitive Health Platform

description: Introduction: MindCrowd is an online cognitive health platform that engages adults in a 10-minute experience, including the paired-associates learning (PAL) test, a demographic survey, and an option to be contacted for future research. This study’s objective was to identify factors associated with consent to research studies. 

Methods: Adults from US zip codes, who joined MindCrowd from 06/17/2022–12/31/2024 and agreed to be contacted for future research, were eligible for the study. Outcomes included consent to online cognitive health surveys (MindCrowd Expanded) and genetic testing for AD risk via mailed self-collection kit. Variables of interest included age, sex, race, ethnicity, education, socioeconomic vulnerability, family history of AD, and PAL test score. Consent was modeled using multivariable logistic regression, generating adjusted odds ratios (aOR) and 95% confidence intervals (CI).

Results: 52,113 MindCrowd participants were study-eligible – 19.1% consented to MindCrowd Expanded and 9.5% to genetic testing. Compared with White individuals, Black individuals had 58% and 75% lower odds of consenting to MindCrowd Expanded [aOR=0.42(95% CI=0.37-0.48)] and genetic testing [aOR=0.25(95% CI=0.20-0.32)], respectively. Compared with non-Hispanic individuals, Hispanic individuals had 26% and 37% lower odds of consenting to MindCrowd Expanded [aOR=0.74(95% CI=0.68-0.80)] and genetic studies [aOR=0.63(95% CI=0.56-0.71)], respectively.

Conclusion: Despite previous research demonstrating that Black and Hispanic MindCrowd participants were more willing to be contacted for future research than White participants, findings from this study suggest hesitancy to consent to online cognitive aging research and genetic testing. A more intentional approach may be necessary to retain MindCrowd participants from underrepresented communities in cognitive research studies.
DOI: 10.15468/dl.ssweh7
title: Occurrence Download

description: A dataset containing 20055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urena lobata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 20055 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011839-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kugvu4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia noeana",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011841-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17176615
title: Ferric chloride: the Venusian unknown UV absorber?

description: Data to reproduce all figures from the paper "Ferric chloride: the Venusian unknown UV absorber?"
DOI: 10.15468/dl.z769pp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alyssum caespitosum)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011842-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82253/zyqk-v069
title: MicrobiomeMilkMap 2021-2022: Data underlying the publication "Seasonal and geographical impact on the Irish  raw milk microbiota correlates with chemical composition and climatic variables"
DOI: 10.5281/zenodo.17192278
title: Polymita melanin quantification
DOI: 10.5281/zenodo.17192277
title: Polymita melanin quantification
DOI: 10.15468/dl.2eb7e6
title: Occurrence Download

description: A dataset containing 2830865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apus apus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2830865 records from 4290 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011801-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s92mux
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus bruneus Bloch, 1793",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052021-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.butfz8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.068565 -35.203431, 148.068565 -35.205677, 148.077548 -35.205677, 148.077548 -35.203431, 148.068565 -35.203431))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052022-240626123714530/datasets/export for details.
DOI: 10.15468/dl.cy5553
title: Occurrence Download

description: A dataset containing 3431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bonasus (Linnaeus, 1758)"
 ]
}

 The dataset includes 3431 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052023-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnngvu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((142.171097 -37.172997, 142.171097 -37.177489, 142.175588 -37.177489, 142.175588 -37.172997, 142.171097 -37.172997))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052024-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6zgq9y
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liparis tanakae (Gilbert & Burke, 1912)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 246 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052025-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dntzfs
title: Occurrence Download

description: A dataset containing 523215 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Suivi Photographique des Insectes Pollinisateurs (SPIPOLL)"
 ]
}

 The dataset includes 523215 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052014-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mygydc
title: Occurrence Download

description: A dataset listing the 29026 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Formicidae"
 ]
}

 The dataset's 29026 records were derived from 2214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0052005-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o9kcpg
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atelopus bomolochos Peters, 1973",
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004276-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8dedh
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conophytum wettsteinii (Berger) N.E.Br."
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144419-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkwuhj
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Nematoda Collection - Instituto Nacional de Pesquisas da Amazônia (INPA)"
 ]
}

 The dataset includes 46 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004276-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8au35f
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Conophytum turrigerum (N.E.Br.) N.E.Br."
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0144409-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cnmnsn
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Microplankton abundance at Station MARCH-1998-GN36199804610MSB03 in the euphotic zone of the Aegean Sea in March 1998. Part 3 - coccolithophores and other groups"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004276-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nsnm3v
title: Occurrence Download

description: A dataset containing 62816680 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Spain"
 ]
}

 The dataset includes 62816680 records from 2506 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026546-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0173925.10fu
title: SH0173925.10FU

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/sh0173926.10fu
title: SH0173926.10FU

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/sh0173927.10fu
title: SH0173927.10FU

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/sh0173928.10fu
title: SH0173928.10FU

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/sh0173929.10fu
title: SH0173929.10FU

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/sh0173930.10fu
title: SH0173930.10FU

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/sh0173931.10fu
title: SH0173931.10FU

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/sh0173932.10fu
title: SH0173932.10FU

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/sh0173933.10fu
title: SH0173933.10FU

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.