cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6955040
title: Exploring the barriers and incentive architecture for modifying smoke exposures among asthmatics

description: <i>Background</i>: The socio-structural barriers for reducing secondhand smoke exposure (SHSe) among children with asthma may be insurmountable for low-income caregivers. Health promoting financial incentives (HPFIs) are increasingly being used in the adult population to motivate and sustain tobacco-reduction behaviors. We assessed barriers to SHSe reduction and means to overcome them through the design of an HPFI-based, caregiver-targeted SHSe reduction study. <i>Methods</i>: Using a mixed-methods design, we conducted semi-structured in-depth interviews among low-income primary caregivers of children with asthma residing in Baltimore City. Quantitative data using an online survey were used to augment interview findings. <i>Results</i>: Home smoking restrictions were a frequently referenced strategy for decreasing SHSe, but interviewees (<i>n</i> = 22) described the complex social pressures that undermine reduction efforts. Caregivers redirected conversations from broadly implemented smoking bans towards targeted reduction strategies among mothers and members of their social network who are active smokers. Participants converged on the notion that sustainable SHSe reduction strategies are realizable only for mothers who are active smokers, possess high self-efficacy and social structures that promote cessation. Survey data (<i>n</i> = 56) clarified the multiple contexts that underlie pediatric SHSe and preferred HPFI architecture that included fixed, recurrent payments contingent on reduced nicotine biomarkers and completion of basic asthma education classes. <i>Conclusions</i>: Based on the combined analyses, we envision testing a HPFI-based study design whose optimal target population included low-income caregivers and members of their social network where incentives are tied to pediatric biomarkers and asthma education—an integrated approach that has not yet been used in pediatric tobacco studies.
DOI: 10.6084/m9.figshare.23207880
title: Additional file 8 of Metformin promotes female germline stem cell proliferation by upregulating Gata-binding protein 2 with histone β-hydroxybutyrylation

description: Additional file 8. Table S3. Sequence of primers used in ChIP-qPCR
DOI: 10.15468/dl.kz6uwg
title: Occurrence Download

description: A dataset containing 10622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "StateProvince is one of (Andhra Pradesh, Tamil Nadu, Kerala, Karnataka, Goa, Maharashtra)",
 "TaxonKey is Lonchura kelaarti (Jerdon, 1863)"
 ]
}

 The dataset includes 10622 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103151-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6pgyz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus holubyana Kárpáti)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103153-240626123714530/datasets/export for details.
DOI: 10.15468/dl.wvxuqj
title: Occurrence Download

description: A dataset containing 250 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carpophilus mutilatus Erichson, 1843",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 250 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103152-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy7s39
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius brignolii Matic, 1970",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103155-240626123714530/datasets/export for details.
DOI: 10.15468/dl.whwc8t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Xylella fastidiosa Wells et al., 1987)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900",
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (Australia)",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 20000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103156-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13378717
title: Images dataset for Chemical Images Classifier model

description: Original paper

The manually curated images dataset is a part of the Supplementary Materials of the paper: A. Krasnov, S. Barnabas, T. Böhme, S. Boyer, L. Weber, Comparing software tools for optical chemical structure recognition, Digital Discovery (2024). https://doi.org/10.1039/D3DD00228D

Images dataset description

The dataset was used to generate the image classifier model. The dataset consists of 16,000 images that were collected from different sources:

1)    Chemical data images extracted from EP, US, and WO patents by OntoChem GmbH.

2)    Images from the MolScribe datasets https://pubs.acs.org/doi/10.1021/acs.jcim.2c01480

3)    DECIMER–hand-drawn molecule images dataset H.O. Brinkhaus, A. Zielesny, C. Steinbeck, K. Rajan, “DECIMER - hand-drawn molecule images dataset”, 2022, Journal of Cheminformatics, 14, 36. https://doi.org/10.1186/s13321-022-00620-9

4)    Images from the Rxnscribe training set Y. Qian, J. Guo, Z. Tu, C.W. Coley, R. Barzilay, “RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing”, 2023,  arXiv:2305.11845v1, https://doi.org/10.48550/arXiv.2305.11845 

5)    Formulas images from the im2latex-100k dataset A prebuilt dataset for OpenAI's task for image-2-latex system, https://zenodo.org/record/56198#.YJjuCGZKgox (accessed 16 Januar 2024)

Structure of dataset

The dataset consists of two directories:

The "classified" directory contains manually labeled images. These images are divided into four distinct categories, with each category including 4000 images:

●      one_molecule

●      several_molecules

●      reactions

●      other

In the “for_model” folder, we have split the images for training, validation, and testing in order to create a Chemical Image Classifier model:

●      training: 12,804 images

●      test: 1,604 images

●      validation: 1,604 images.
DOI: 10.5281/zenodo.13378718
title: Images dataset for Chemical Images Classifier model

description: Original paper

The manually curated images dataset is a part of the Supplementary Materials of the paper: A. Krasnov, S. Barnabas, T. Böhme, S. Boyer, L. Weber, Comparing software tools for optical chemical structure recognition, Digital Discovery (2024). https://doi.org/10.1039/D3DD00228D

Images dataset description

The dataset was used to generate the image classifier model. The dataset consists of 16,000 images that were collected from different sources:

1)    Chemical data images extracted from EP, US, and WO patents by OntoChem GmbH.

2)    Images from the MolScribe datasets https://pubs.acs.org/doi/10.1021/acs.jcim.2c01480

3)    DECIMER–hand-drawn molecule images dataset H.O. Brinkhaus, A. Zielesny, C. Steinbeck, K. Rajan, “DECIMER - hand-drawn molecule images dataset”, 2022, Journal of Cheminformatics, 14, 36. https://doi.org/10.1186/s13321-022-00620-9

4)    Images from the Rxnscribe training set Y. Qian, J. Guo, Z. Tu, C.W. Coley, R. Barzilay, “RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing”, 2023,  arXiv:2305.11845v1, https://doi.org/10.48550/arXiv.2305.11845 

5)    Formulas images from the im2latex-100k dataset A prebuilt dataset for OpenAI's task for image-2-latex system, https://zenodo.org/record/56198#.YJjuCGZKgox (accessed 16 Januar 2024)

Structure of dataset

The dataset consists of two directories:

The "classified" directory contains manually labeled images. These images are divided into four distinct categories, with each category including 4000 images:

●      one_molecule

●      several_molecules

●      reactions

●      other

In the “for_model” folder, we have split the images for training, validation, and testing in order to create a Chemical Image Classifier model:

●      training: 12,804 images

●      test: 1,604 images

●      validation: 1,604 images.
DOI: 10.15468/dl.mm2daz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus meierottii N.Mey.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103157-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g49gh5
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius scotophilus Latzel, 1897",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103159-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ctf5r5
title: Occurrence Download

description: A dataset containing 5 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carpophilus pilosellus Motschulsky, 1858",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103160-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eknufx
title: Occurrence Download

description: A dataset containing 5538030 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-37.0",
 "Country is France",
 "Geometry POLYGON((1.34753 41.87885,7.72731 41.87885,7.72731 46.88815,1.34753 46.88815,1.34753 41.87885))",
 "HasCoordinate is true",
 "HostingOrganizationKey is 1928bdf0-f5d2-11dc-8c12-b8a03c50a862",
 "TaxonKey is Plantae",
 "Year 1990-2024"
 ]
}

 The dataset includes 5538030 records from 296 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103126-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk43vh
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus mergenthaleriana N.Mey.)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 14 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103161-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6a7828
title: Occurrence Download

description: A dataset containing 128447 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is MCP - Coleção de Abelhas"
 ]
}

 The dataset includes 128447 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103111-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbgk9a
title: Occurrence Download

description: A dataset containing 154875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Begonia L."
 ]
}

 The dataset includes 154875 records from 937 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103131-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q64yn7
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Togo",
 "TaxonKey is Macrotyloma geocarpum (Harms) Maréchal & Baudet"
 ]
}

 The dataset includes 23 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103163-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypzkzp
title: Occurrence Download

description: A dataset containing 0 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius lagrecai Matic, 1962",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103164-240626123714530/datasets/export for details.
DOI: 10.15468/dl.sx2yt8
title: Occurrence Download

description: A dataset containing 51 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)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carpophilus fumatus Boheman, 1851",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103165-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8k5zj
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Dermochelyidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 125 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103166-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbu64r
title: Occurrence Download

description: A dataset containing 45200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "Geometry POLYGON((-78.50494 -0.58903,-78.02437 -0.58903,-78.02437 0.45948,-78.50494 0.45948,-78.50494 -0.58903))",
 "TaxonKey is Plantae",
 "Year 1980-2024"
 ]
}

 The dataset includes 45200 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103162-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jyzer4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus milensis M.Lepsí, Boublík, P.Lepsí & Vít)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103167-240626123714530/datasets/export for details.
DOI: 10.15468/dl.z297uw
title: Occurrence Download

description: A dataset containing 114514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Cochlearia L."
 ]
}

 The dataset includes 114514 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037323-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh2843799.08fu
title: SH2843799.08FU

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/sh2843800.08fu
title: SH2843800.08FU

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/sh1866747.08fu
title: SH1866747.08FU

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/sh1866748.08fu
title: SH1866748.08FU

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.