cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10962884
title: Data Appendix to TaxoDros - The Database on Taxonomy of Drosophilidae hash://md5/b3ead19ea211a66e4f59a6842e097c7b hash://sha256/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16

description: This publication contains an archive of versioned metadata and data associated the TaxoDros source data for Taxodros: The database on Taxonomy of Drosophilidae as provided by Gerhard Bächli, the database maintainer, in August/September 2024. [1].

The data archive "data.zip" were created using Preston [2,3] and includes both pdfs of works published before and after 2000-01-01.  Additionally, "data.tar.gz" is provided with the same content only packaged in a tarball instead.

Due to copyright restrictions, the data can only be accessed on request.

To use, first download and unpack data, then use preston (or similar) to easily access data.

If preston is not available, or prefer not to use it, the associated TaxoDros data can be discovered found via

 data/a6/e7/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16

and their dependencies.
description: filenames.tsv and filenames.csv were derived from the included archive using Preston, a biodiversity data tracker via

# get data archive and unzip to data/ folder
unzip data.zip

# use preston to list all name -> content associations
preston alias\
 -l tsv\
 --anchor hash://sha256/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16\
 | cut -f1,3\
 | tee filenames.tsv\
 | mlr --itsvlite --ocsv cat\
 > filenames.csv

The content associated with a specific name is located in data/[characters 0-1 of content id]/[characters 2-3 of content id]/[content id].

So, for instance, content associated with -




filename
content id


file:///var/cache/taxodros/pdf/R/Riedel,%201919b.pdf
hash://sha256/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4




can be found in 

data/f4/93/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4
DOI: 10.5281/zenodo.10962885
title: Data Appendix to TaxoDros - The Database on Taxonomy of Drosophilidae hash://md5/26a67012dde325cf2a3a058cc2f9c1b8 hash://sha256/ca86d74b318a334bddbc7c6a387a09530a083b8617718f5369ad548744c602d3

description: This publication contains an archive of versioned metadata and data associated the TaxoDros source data for Taxodros: The database on Taxonomy of Drosophilidae as provided by Gerhard Bächli, the database maintainer, in January 2024. [1].

The data archive "data.zip" were created using Preston [2,3] and includes both pdfs of works published before and after 2000-01-01.  Additionally, "data.tar.gz" is provided with the same content only packaged in a tarball instead.

Due to copyright restrictions, the data can only be accessed on request.

To use, first download and unpack data, then use preston (or similar) to easily access data.

If preston is not available, or prefer not to use it, the associated TaxoDros data can be discovered found via

 data/ca/86/ca86d74b318a334bddbc7c6a387a09530a083b8617718f5369ad548744c602d3

and their dependencies.
DOI: 10.5281/zenodo.12723958
title: Data Appendix to TaxoDros - The Database on Taxonomy of Drosophilidae hash://md5/26a67012dde325cf2a3a058cc2f9c1b8 hash://sha256/ca86d74b318a334bddbc7c6a387a09530a083b8617718f5369ad548744c602d3

description: This publication contains an archive of versioned metadata and data associated the TaxoDros source data for Taxodros: The database on Taxonomy of Drosophilidae as provided by Gerhard Bächli, the database maintainer, in January 2024. [1].

The data archive "data.zip" were created using Preston [2,3] and includes both pdfs of works published before and after 2000-01-01.  Additionally, "data.tar.gz" is provided with the same content only packaged in a tarball instead.

Due to copyright restrictions, the data can only be accessed on request.

To use, first download and unpack data, then use preston (or similar) to easily access data.

If preston is not available, or prefer not to use it, the associated TaxoDros data can be discovered found via

 data/ca/86/ca86d74b318a334bddbc7c6a387a09530a083b8617718f5369ad548744c602d3

and their dependencies.
description: filenames.tsv and filenames.csv were derived from the included archive using Preston, a biodiversity data tracker via

# get data archive and unzip to data/ folder
unzip data.zip

# use preston to list all name -> content associations
preston alias\
 -l tsv\
 --anchor hash://sha256/ca86d74b318a334bddbc7c6a387a09530a083b8617718f5369ad548744c602d3\
 | cut -f1,3\
 | tee filenames.tsv\
 | mlr --itsvlite --ocsv cat\
 > filenames.csv

The content associated with a specific name is located in data/[characters 0-1 of content id]/[characters 2-3 of content id]/[content id].

So, for instance, content associated with -




filename
content id


file:///var/cache/taxodros/pdf/R/Riedel,%201919b.pdf
hash://sha256/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4




can be found in 

data/f4/93/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4
DOI: 10.5281/zenodo.13845972
title: Data Appendix to TaxoDros - The Database on Taxonomy of Drosophilidae hash://md5/b3ead19ea211a66e4f59a6842e097c7b hash://sha256/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16

description: This publication contains an archive of versioned metadata and data associated the TaxoDros source data for Taxodros: The database on Taxonomy of Drosophilidae as provided by Gerhard Bächli, the database maintainer, in August/September 2024. [1].

The data archive "data.zip" were created using Preston [2,3] and includes both pdfs of works published before and after 2000-01-01.  Additionally, "data.tar.gz" is provided with the same content only packaged in a tarball instead.

Due to copyright restrictions, the data can only be accessed on request.

To use, first download and unpack data, then use preston (or similar) to easily access data.

If preston is not available, or prefer not to use it, the associated TaxoDros data can be discovered found via

 data/a6/e7/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16

and their dependencies.
description: filenames.tsv and filenames.csv were derived from the included archive using Preston, a biodiversity data tracker via

# get data archive and unzip to data/ folder
unzip data.zip

# use preston to list all name -> content associations
preston alias\
 -l tsv\
 --anchor hash://sha256/a6e757007c04215cafa537c09a06a0e8a68be70cbc9c965c857c7a9058ceeb16\
 | cut -f1,3\
 | tee filenames.tsv\
 | mlr --itsvlite --ocsv cat\
 > filenames.csv

The content associated with a specific name is located in data/[characters 0-1 of content id]/[characters 2-3 of content id]/[content id].

So, for instance, content associated with -




filename
content id


file:///var/cache/taxodros/pdf/R/Riedel,%201919b.pdf
hash://sha256/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4




can be found in 

data/f4/93/f493ad1de56055d631ada9ab0db6f9da2ff0d096336aa4174b1515336b9581b4
DOI: 10.15468/dl.a7p4zv
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinohippus interpolatus (Cope, 1893)"
 ]
}

 The dataset includes 308 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033116-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpdyfs
title: Occurrence Download

description: A dataset containing 336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is South America",
 "Country is Ecuador",
 "DatasetKey is one of (Tropicos MO Specimen Data, Tropicos Specimens Non-MO, The New York Botanical Garden Herbarium (NY))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Vaccinium floribundum Kunth",
 "Year 1970-2024"
 ]
}

 The dataset includes 336 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033117-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyypzz
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Squamata",
 "TaxonKey is Crocodylia",
 "TaxonKey is Testudines",
 "TaxonKey is Sphenodontia",
 "TaxonKey is Amphibia"
 ]
 },
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "and" : [
 "DecimalLongitude is greater than 173.2510986",
 "DecimalLongitude is less than 176.4605865",
 "DecimalLatitude is greater than -1.3751841",
 "DecimalLatitude is less than 2.0610759",
 "Country is Kiribati"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033119-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e209285v2
title: COEP Replication Package for "The Causal Effect of Economic Freedom on Female Employment & Education"

description: While there are decades of evidence that economically free economies grow faster and are more productive than less free ones, there is less knowledge about the effect of economic freedom on groups that have traditionally been disadvantaged. I study the causal effects of large and sustained jumps in economic freedom on women’s labor force participation and primary school enrollment. I find that these jumps have a positive and statistically significant effect in both cases--economic freedom is good for women’s labor force opportunities and female education.
DOI: 10.15468/dl.5vww65
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dinohippus interpolatus (Cope, 1893)"
 ]
}

 The dataset includes 308 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033120-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xqfgsb
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus wiedii yucatanicus (Nelson & Goldman, 1931)"
 ]
}

 The dataset includes 57 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033121-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9c468
title: Occurrence Download

description: A dataset containing 2310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus wiedii (Schinz, 1821)"
 ]
}

 The dataset includes 2310 records from 204 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033122-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jn2sd9
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Achelous tumidulus Stimpson, 1871"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033123-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp3nnx
title: Occurrence Download

description: A dataset containing 11910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.45_1, USA.3_1, USA.29_1, USA.6_1, USA.13_1, USA.51_1)",
 "TaxonKey is one of (Gymnogyps californianus (Shaw, 1797), Strix occidentalis lucida (Nelson, 1903), Gulo gulo (Linnaeus, 1758), Lynx canadensis Kerr, 1792)"
 ]
}

 The dataset includes 11910 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033124-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7294/27102931
title: Data associated with "Utilizing a novel fecal sampling method to examine resistance of the honey bee (<i>Apis mellifera</i>) gut microbiome to a low dose of tetracycline."

description: These are bacterial 16S rRNA gene amplicon data and metadata from honey bee feces and guts; the dataset includes amplicon sequences, sequencing information necessary for demultiplexing and using the amplicon data, and tetracycline resistance gene (tetB and tetM) qPCR data for a subset of the samples.This study comprised two parts. The first was a test to confirm that fecal samples from honey bees were a useful method to assess the bacterial gut community of honey bees. The second was a lab study using the fecal sampling method to investigate the impact of a low dose of tetracycline on resistance of the honey bee gut microbiome to disruption by antibiotics, focusing on responses of individual bees.
DOI: 10.7294/27102931.v1
title: Data associated with "Utilizing a novel fecal sampling method to examine resistance of the honey bee (<i>Apis mellifera</i>) gut microbiome to a low dose of tetracycline."

description: These are bacterial 16S rRNA gene amplicon data and metadata from honey bee feces and guts; the dataset includes amplicon sequences, sequencing information necessary for demultiplexing and using the amplicon data, and tetracycline resistance gene (tetB and tetM) qPCR data for a subset of the samples.This study comprised two parts. The first was a test to confirm that fecal samples from honey bees were a useful method to assess the bacterial gut community of honey bees. The second was a lab study using the fecal sampling method to investigate the impact of a low dose of tetracycline on resistance of the honey bee gut microbiome to disruption by antibiotics, focusing on responses of individual bees.
DOI: 10.15468/dl.mq89zt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Achelous tumidulus Stimpson, 1871"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033126-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e209163
title: National Neighborhood Data Archive (NaNDA): Arts, Entertainment, and Leisure Establishments by Census Tract and ZCTA, United States, 1990-2021

description: This dataset contains measures of the number and density of arts,
entertainment, and leisure establishments per United States Census Tract or ZIP
Code Tabulation Area (ZCTA) from 1990 through 2021. The dataset includes four
separate files for four different geographic areas (GIS shapefiles from the
United States Census Bureau).<br>The four geographies include:<br>● Census Tract 2010 ● Census Tract 2020● ZIP Code Tabulation Area (ZCTA) 2010 ● ZIP Code Tabulation Area (ZCTA) 2020<br><br>Information about which dataset to use can be found in the Usage Notes section of this document.
description: SIC code identified arts, entertainment, and leisure establishments in the fifty United States including Alaska and Hawaii and the US island territories. . Smallest Geographic Unit: Census Tract
description: other;
DOI: 10.15468/dl.3sxkb9
title: Occurrence Download

description: A dataset containing 6020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.62153 36.92104,-6.32002 35.8878,-5.16265 35.95081,-4.83197 36.97545,-5.93099 37.27788,-6.62153 36.92104))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (LC, NT, VU, EN, CR)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 6020 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033128-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13851357
title: A 4,302-patient cohort study of association of rare genetic alterations with endocrine disorders

description: Endocrine pathologies including disorders such as diabetes and dysfunctions of endocrine glands, are frequently associated with genetic predisposition. This study investigated the association of endocrine diseases with genetic variants, copy number variations (CNVs), and mutational load of molecular pathways in 4302 patients with 409 ICD-10 diagnoses who underwent DNA testing using next-generation sequencing at the National Medical Research Center for Endocrinology (Moscow) from November 2017 till January 2024. We analyzed rare protein-altering genetic variants using three control cohorts (gnomAD3, RUSeq healthy, experimental).  We identified 143 associated variants for diabetes mellitus and 188 genetic variants across other 18 different ICD-10 groups of diagnoses, including 25% and 30% of previously undescribed variants, respectively. In addition, we investigated the aggregation of genetic variants across individual genes and their functional ensembles (molecular pathways) and identified 105 and 101 associations with ICD-10 diagnoses, respectively. In addition, we identified 35 pathogenic and 91 likely pathogenic CNVs in 925 patients with whole exome sequencing profiles. Among them, 9 and 44 CNVs, respectively, were not previously described. Totally, we found statistically significant associations between CNVs and endocrine pathologies for 168 genes. These results expand our understanding of endocrine disease mechanisms and may indicate new potential therapeutic targets.
DOI: 10.5281/zenodo.13851358
title: A 4,302-patient cohort study of association of rare genetic alterations with endocrine disorders

description: Endocrine pathologies including disorders such as diabetes and dysfunctions of endocrine glands, are frequently associated with genetic predisposition. This study investigated the association of endocrine diseases with genetic variants, copy number variations (CNVs), and mutational load of molecular pathways in 4302 patients with 409 ICD-10 diagnoses who underwent DNA testing using next-generation sequencing at the National Medical Research Center for Endocrinology (Moscow) from November 2017 till January 2024. We analyzed rare protein-altering genetic variants using three control cohorts (gnomAD3, RUSeq healthy, experimental).  We identified 143 associated variants for diabetes mellitus and 188 genetic variants across other 18 different ICD-10 groups of diagnoses, including 25% and 30% of previously undescribed variants, respectively. In addition, we investigated the aggregation of genetic variants across individual genes and their functional ensembles (molecular pathways) and identified 105 and 101 associations with ICD-10 diagnoses, respectively. In addition, we identified 35 pathogenic and 91 likely pathogenic CNVs in 925 patients with whole exome sequencing profiles. Among them, 9 and 44 CNVs, respectively, were not previously described. Totally, we found statistically significant associations between CNVs and endocrine pathologies for 168 genes. These results expand our understanding of endocrine disease mechanisms and may indicate new potential therapeutic targets.
DOI: 10.15468/dl.je7tzf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "TaxonKey is Gmelina arborea Roxb."
 ]
}

 The dataset includes 7 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033129-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.agm5xd
title: Occurrence Download

description: A dataset containing 2455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Flora vascular acuática de las áreas naturales protegidas del estado de Morelos, México, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Sistematización del Herbario Nacional Forestal Biól Luciano Vela Gálvez, Banco de datos florísticos del Herbario CHAP, Tropicos MO Specimen Data, MEXU/Colección de Plantas Acuáticas)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxodium mucronatum Ten."
 ]
}

 The dataset includes 2455 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033130-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x4k6xh
title: Occurrence Download

description: A dataset containing 5149287 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Limnodromus scolopaceus (Say, 1822), Calidris subruficollis (Vieillot, 1819), Calidris fuscicollis (Vieillot, 1819), Calidris minutilla (Vieillot, 1819), Calidris bairdii (Coues, 1861), Calidris himantopus (Bonaparte, 1826), Limosa haemastica (Linnaeus, 1758), Numenius americanus Bechstein, 1812, Bartramia longicauda (Bechstein, 1812))"
 ]
}

 The dataset includes 5149287 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033125-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3aupe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((-5.532 36.56082,-5.55211 34.86215,12.31209 32.01002,24.5842 26.92706,36.25564 32.07628,35.95275 38.74217,13.02033 46.62783,-4.15135 38.15961,-5.532 36.56082))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alopias superciliosus Lowe, 1841"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033131-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.