cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tx7tjq
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus acatenangensis Trel.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 140 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015479-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14794896
title: OpenFE 2024 Industry Benchmarking Project, Results from Merck_SHP2

description: OpenFE 2024 Industry Benchmarking Project, Results from merck set; shp2. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.14794897
title: OpenFE 2024 Industry Benchmarking Project, Results from Merck_SHP2

description: OpenFE 2024 Industry Benchmarking Project, Results from merck set; shp2. OpenFE version v1.0.1. Simulation details can be found in the GitHub repository https://github.com/OpenFreeEnergy/IndustryBenchmarks2024
DOI: 10.5281/zenodo.10692338
title: The quantum metric of electrons with spin-momentum locking

description: Dataset corresponding to the publication: "G. Sala et al., The quantum metric of electrons with spin-momentum locking", https://arxiv.org/abs/2407.06659. Data is also available from the corresponding authors upon reasonable request.
DOI: 10.5281/zenodo.10692339
title: The quantum metric of electrons with spin-momentum locking

description: Dataset corresponding to the publication: "G. Sala et al., The quantum metric of electrons with spin-momentum locking", https://arxiv.org/abs/2407.06659. Data is also available from the corresponding authors upon reasonable request.
DOI: 10.5281/zenodo.14809858
title: The quantum metric of electrons with spin-momentum locking

description: Dataset corresponding to the publication: "G. Sala et al., The quantum metric of electrons with spin-momentum locking", https://arxiv.org/abs/2407.06659. Data is also available from the corresponding authors upon reasonable request.
DOI: 10.15468/dl.7fsfdm
title: Occurrence Download

description: A dataset containing 61113 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UTA Amphibians"
 ]
}

 The dataset includes 61113 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015478-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zdje4q
title: Occurrence Download

description: A dataset containing 579535 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine Nature Conservation Review (MNCR) and associated benthic marine data held and managed by JNCC"
 ]
}

 The dataset includes 579535 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015444-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gs9m2
title: Occurrence Download

description: A dataset containing 199466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Collocalia affinis Beavan, 1867, Aerodramus unicolor (Jerdon, 1840), Aerodramus brevirostris (Horsfield, 1840), Aerodramus fuciphagus (Thunberg, 1812), Zoonavena sylvatica (Tickell, 1846), Hirundapus caudacutus (Latham, 1801), Hirundapus cochinchinensis (Oustalet, 1878), Hirundapus giganteus (Temminck, 1825))"
 ]
}

 The dataset includes 199466 records from 159 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015463-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt5z53
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Quercus acherdophylla Trel.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015480-250127130748423/datasets/export for details.
DOI: 10.15468/dl.ujhv88
title: Occurrence Download

description: A dataset containing 576503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cypsiurus balasiensis (J.E.Gray, 1829), Tachymarptis melba (Linnaeus, 1758))"
 ]
}

 The dataset includes 576503 records from 632 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015468-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/gh8255
title: Anchusa crispa subsp. valincoana (Boraginaceae), une nouvelle sous-espèce endémique de Corse

description: This dataset contains the digitized treatments in Plazi based on the original journal article Paradis, Guilhan, Piazza, Carole, Quilichini, Yann (2018): Anchusa crispa subsp. valincoana (Boraginaceae), une nouvelle sous-espèce endémique de Corse. Candollea 73 (2): 201-207, DOI: 10.15553/c2018v732a4AbstractPARADIS, G., C. PIAZZA & Y. QUILICHINI (2018). Anchusa crispa subsp. valincoana Paradis, Piazza & Quilichini (Boraginaceae), a new subspecies endemic to Corsica. Candollea 73: 201–207. In French, English and French abstracts. DOI: http://dx.doi.org/ 10.15553/c2018v732a4Anchusa crispa subsp. valincoana Paradis, Piazza & Quilichini (Boraginaceae), a new endemic subspecies of the littoral of the western coast of Corsica is described and illustrated. It includes four sub-populations around the Gulf of Valinco, near Propriano. It differs by several morphological characters from Anchusa crispa Viv. subsp. crispa, present on two sites of the Corsican east coast, south of Solenzara and in several localities of the north-west coast of Sardinia, notably by its reddish flowering stems, subglabrous lower surface of leaves, bracts with subglabrous upper surface and glabrous below and its flowers with dark blue corolla. It also differs from Anchusa crispa subsp. maritima (Vals.) Selvi & Bigazzi, a Sardinian endemic, located on some sites of the north coast of Sardinia, a taxon with brownish or greenish flowering stems, linear leaves and bracts with upper surface minutely pubescent.
DOI: 10.15468/dl.a9xu2f
title: Occurrence Download

description: A dataset containing 27465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium scorodoprasum L."
 ]
}

 The dataset includes 27465 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000516-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3jhxgu
title: Occurrence Download

description: A dataset containing 3248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia hirta (L.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 3248 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000518-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4p2c6
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-30.0",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceanothus herbaceus Raf."
 ]
}

 The dataset includes 129 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000519-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tfxrn7
title: Occurrence Download

description: A dataset listing the 43 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Polystichum Roth"
 ]
}

 The dataset's 43 records were derived from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000485-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14052116
title: fav dataset

description: fav dataset
DOI: 10.5281/zenodo.14052117
title: fav dataset

description: fav dataset
DOI: 10.5281/zenodo.13375221
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.13375220
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.13375623
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.13385610
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.13772491
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.14035925
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.14051888
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.14052137
title: Benchmark datasets to study fairness in synthetic data generation

description: The traveltime dataset is based on the Folktables project covering US census data. The target is a binary variable encoding whether or not the individual needs to travel more than 20 minutes for work; here, having a shorter travel time is the desirable outcome.  We use a subset of data from the states of California, Florida, Maine, New York, Utah, and Wyoming states in 2018. Although the folktables dataset does not have any missing values, there are some values recorded as NaN due to the Bureau's data collection methodology. We remove the "esp" column, which encodes the employment status of parents, and has 99.55% missing values. We encode the missing values in the povpip, income to poverty ratio (0.85%), to -1 in accordance to the methodology in Ding et al.. See https://arxiv.org/pdf/2108.04884 for metadata.

The cardio (a) dataset contains patient data recorded during medical examination, including 3 binary features supplied by the patient. The target class denotes the presence of cardiovascular disease. This dataset represents predictive tasks that allocate access to priority medical care for patients, and has been used for fairness evaluations in the domain.

The credit dataset contains historical financial data of borrowers, including past non-serious delinquencies. Here, a serious delinquency is considered to be 90 days past due, and this is the target variable.

The German Credit dataset (https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data) contains financial and personal information regarding loan-seeking applicants.
DOI: 10.5281/zenodo.14052135
title: fav dataset

description: fav dataset
DOI: 10.5281/zenodo.14052136
title: fav dataset

description: fav dataset
DOI: 10.15468/dl.a6su42
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Handroanthus billbergii (Bureau & K.Schum.) S.O.Grose"
 ]
}

 The dataset includes 117 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000522-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyuz6c
title: Occurrence Download

description: A dataset containing 1100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia newtonii (Hack.) Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 1100 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000521-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.