cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6092/unibo/amsacta/6928
title: PLUS.WP2 Qualitative analysis of platform labor in Paris

description: This set contains materials from PLUS project field work analysis on platform labour in Paris. In particular, there are qualitative interviews to Airbnb, Uber and Deliveroo workers. The same interviews have been coded with Nvivo software and analyzed. Moreover, a final focus group with platform workers had been organized to validate the results of the investigation. Due to privacy restriction, the set is accessible only to PLUS members.
DOI: 10.5281/zenodo.6406776
title: PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

description: PubMed Graph Benchmark (PGB) aggregates the metadata associated with the biomedical articles from PubMed into a unified source. The benchmark contains metadata including title, abstract, authors, in/out citations, MeSH terms, MeSH hierarchy, venue, publication type, and chemicals.
DOI: 10.5281/zenodo.6406775
title: PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

description: PubMed Graph Benchmark (PGB) aggregates the metadata associated with the biomedical articles from PubMed into a unified source. The benchmark contains metadata including title, abstract, authors, in/out citations, MeSH terms, MeSH hierarchy, venue, publication type, and chemicals.
DOI: 10.3886/e120483
title: Data and Code for: The Side Effects of Immunity: African Slavery in the United States

description: This paper documents the role of malaria in the diffusion of African slavery in the United States. The novel empirical evidence reveals that the introduction of malaria triggered a demand for malaria-resistant labor, which led to a massive expansion of African enslaved workers in the more malaria-infested areas. Further results document that, among African slaves, more malaria-resistant individuals, i.e. those born in the most malaria-ridden regions of Africa, commanded signicantly higher prices.<br><br>
DOI: 10.3886/e120483v1
title: Data and Code for: The Side Effects of Immunity: African Slavery in the United States

description: This paper documents the role of malaria in the diffusion of African slavery in the United States. The novel empirical evidence reveals that the introduction of malaria triggered a demand for malaria-resistant labor, which led to a massive expansion of African enslaved workers in the more malaria-infested areas. Further results document that, among African slaves, more malaria-resistant individuals, i.e. those born in the most malaria-ridden regions of Africa, commanded signicantly higher prices.<br><br>
DOI: 10.3886/e130686
title: Code For: Peer Effect in Product Adoption

description: Replication Package for "Peer Effects in Product Adoption"
DOI: 10.3886/e130686v1
title: Code For: Peer Effect in Product Adoption

description: Replication Package for "Peer Effects in Product Adoption"
DOI: 10.3886/e130651
title: Data and Code for: Emotions and Risk Attitudes

description: These files contain the programs for the journal article "Emotions and Risk Attitudes," American Economic Journal: Applied Economics.<br><br>Abstract: Previous work has shown that preferences are not always stable across time, but surprisingly little is known about the reasons for this instability. I examine whether variation in people's emotions over time predicts changes in risk attitudes. Using a large panel data set, I identify happiness, anger, and fear as significant correlates of within-person changes in risk attitudes. Robustness checks indicate a limited role of alternative explanations. An event study around the death of a parent or child further confirms a large relationship between emotions and risk attitudes.
description: Representative sample of the German population.
DOI: 10.3886/e130651v1
title: Data and Code for: Emotions and Risk Attitudes

description: These files contain the programs for the journal article "Emotions and Risk Attitudes," American Economic Journal: Applied Economics.<br><br>Abstract: Previous work has shown that preferences are not always stable across time, but surprisingly little is known about the reasons for this instability. I examine whether variation in people's emotions over time predicts changes in risk attitudes. Using a large panel data set, I identify happiness, anger, and fear as significant correlates of within-person changes in risk attitudes. Robustness checks indicate a limited role of alternative explanations. An event study around the death of a parent or child further confirms a large relationship between emotions and risk attitudes.
description: Representative sample of the German population.
DOI: 10.3886/e140921
title: Data and code for: Assortative Matching at the Top of the Distribution: Evidence from the World's Most Exclusive Marriage Market

description: Using novel data on peerage marriages in Britain, I find that low search costs and marriage-market segregation can generate sorting. Peers courted in the London Season, a matching technology introducing aristocratic bachelors to debutantes. When Queen Victoria went into mourning for her husband, the Season was interrupted (1861-63), raising search costs, and reducing market segregation. I exploit exogenous variation in women's probability to marry during the interruption from their age in 1861. The interruption increased peer-commoner intermarriage by 40% and reduced sorting along landed wealth by 30%. Eventually, this reduced peers' political power and affected public policy in late-19C England.
description: Not applicable
description: Response Rates: Not applicable
description: The baseline sample is peers' daughters aged 15 to 35 in 1861 and their spouses.
description: Peers, peers' daughters, peers' sons, and their spouses in 19C Britain. Smallest Geographic Unit: Geo-located country seats
description: other;
DOI: 10.3886/e140921v1
title: Data and code for: Assortative Matching at the Top of the Distribution: Evidence from the World's Most Exclusive Marriage Market

description: Using novel data on peerage marriages in Britain, I find that low search costs and marriage-market segregation can generate sorting. Peers courted in the London Season, a matching technology introducing aristocratic bachelors to debutantes. When Queen Victoria went into mourning for her husband, the Season was interrupted (1861-63), raising search costs, and reducing market segregation. I exploit exogenous variation in women's probability to marry during the interruption from their age in 1861. The interruption increased peer-commoner intermarriage by 40% and reduced sorting along landed wealth by 30%. Eventually, this reduced peers' political power and affected public policy in late-19C England.
description: Not applicable
description: Response Rates: Not applicable
description: The baseline sample is peers' daughters aged 15 to 35 in 1861 and their spouses.
description: Peers, peers' daughters, peers' sons, and their spouses in 19C Britain. Smallest Geographic Unit: Geo-located country seats
description: other;
DOI: 10.15468/dl.52tmc7
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Sindora coriacea (Baker) Prain"
 ]
}

 The dataset includes 157 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021496-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8saant
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.31055 -55.2832,-65.47852 -57.39258,-57.2168 -54.58008,-45.63721 -22.08252,-57.26074 -21.66504,-57.52441 -19.81934,-57.63428 -19.66553,-59.96338 -18.9624,-61.83105 -19.46777,-63.41858 -21.59363,-67.28027 -21.22559,-69.38965 -17.00684,-71.05957 -18.67676,-78.31055 -55.2832))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stipa henrardiana Parodi"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0318552-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahxlh9
title: Occurrence Download

description: A dataset containing 455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Year 2010-2018",
 "TaxonKey is Didelphimorphia"
 ]
}

 The dataset includes 455 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008792-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9j95q
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((5.425 52.775,5.475 52.775,5.475 52.825,5.425 52.825,5.425 52.775))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 134 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0306170-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6z5rp
title: Occurrence Download

description: A dataset listing the 228 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colección de Plancton Mixto – Sección Zooplancton del Museo de Historia Natural Marina de Colombia – Makuriwa (Invemar)"
 ]
}

 The dataset's 228 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034595-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5sp9q
title: Occurrence Download

description: A dataset containing 62149 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Données d'occurrences issues des Formulaires standards de données des sites Natura 2000 - Données d'occurrence Espèces issues de la base Natura 2000 : espèces d'intérêt communautaire et autres espèces remarquables renseignées dans les FSD"
 ]
}

 The dataset includes 62149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0263009-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfoeys
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-94.52429 -9.51282,-64.47571 -9.51282,-64.47571 2.51282,-94.52429 2.51282,-94.52429 -9.51282))",
 "HasCoordinate is true",
 "TaxonKey is Pristimantis orestes (Lynch, 1979)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008792-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqfvya
title: Occurrence Download

description: A dataset containing 689520 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arecaceae"
 ]
}

 The dataset includes 689520 records from 441 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0286818-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8yx26
title: Occurrence Download

description: A dataset containing 1698 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Cyathea atrovirens (Langsd. & Fisch.) Domin",
 "TaxonKey is Alsophila acantha Sehnem",
 "TaxonKey is Alsophila atrovirens (Langsd. & Fisch.) C.Presl",
 "TaxonKey is Alsophila compta (Mart.) Mart.",
 "TaxonKey is Alsophila dryopteridoides Domin",
 "TaxonKey is Alsophila dryopteridoides var. fallaciana Domin",
 "TaxonKey is Alsophila hookeriana Hook.",
 "TaxonKey is Alsophila kleinii Sehnem",
 "TaxonKey is Alsophila leptocladia Fée",
 "TaxonKey is Alsophila proceroides Rosenst.",
 "TaxonKey is Alsophila radens Kaulf.",
 "TaxonKey is Alsophila verruculosa Rosenst.",
 "TaxonKey is Cyathea acantha (Sehnem) Lehnert",
 "TaxonKey is Cyathea compta Mart.",
 "TaxonKey is Cyathea fallaciana (Domin) Domin",
 "TaxonKey is Cyathea leptocladia (Fée) Domin",
 "TaxonKey is Cyathea radens (Kaulf.) Domin",
 "TaxonKey is Cyathea verruculosa (Rosenst.) Domin",
 "TaxonKey is Trichipteris atrovirens (Langsd. & Fisch.) R.M.Tryon",
 "TaxonKey is Polypodium atrovirens Langsd. & Fisch."
 ]
}

 The dataset includes 1698 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230461-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckmbh8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "TaxonKey is Neophocaena asiaeorientalis (Pilleri & Gihr, 1972)",
 "Year 2011-2021"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0294122-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jkbzxo
title: Occurrence Download

description: A dataset containing 5434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gleditsia triacanthos L."
 ]
}

 The dataset includes 5434 records from 209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008792-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqdku7
title: Occurrence Download

description: A dataset containing 17379121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mammalia"
 ]
}

 The dataset includes 17379121 records from 3341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040547-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0931123.10fu
title: SH0931123.10FU

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/sh0931124.10fu
title: SH0931124.10FU

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.pfhsx6
title: Occurrence Download

description: A dataset containing 54816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muscardinus avellanarius (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 54816 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099441-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0931125.10fu
title: SH0931125.10FU

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/sh0931126.10fu
title: SH0931126.10FU

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/sh0931127.10fu
title: SH0931127.10FU

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/sh0931128.10fu
title: SH0931128.10FU

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/sh0931129.10fu
title: SH0931129.10FU

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.