cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.264y98
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia saman",
 "Country is Suriname",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028638-250811113504898/datasets/export for details.
DOI: 10.34894/e0jgau
title: Does choice change preferences? An incentivized test of the mere choice effect - Data set

description: &lt;p&gt;Data set, codebook, and pre-registered report for article&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt; Alós-Ferrer, Carlos, and Georg D. Granic (forthcoming).&lt;br&gt;
"&lt;sub&gt;&lt;a href="https://link.springer.com/article/10.1007/s10683-021-09728-5" target="_blank"&gt;Does Choice Change Preferences? An Incentivized Test of the Mere Choice Effect&lt;/a&gt;&lt;/sub&gt;", &lt;em&gt;Experimental Economics&lt;/em&gt;. &lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;Abstract&lt;/p&gt;
&lt;p&gt;Widespread evidence from psychology and neuroscience documents that previous choices unconditionally increase the later desirability of chosen objects, even if those choices were uninformative. This is problematic for economists who use choice data to estimate latent preferences, demand functions, and social welfare. The&lt;/p&gt;
&lt;p&gt;evidence on this mere choice efect, however, exhibits serious shortcomings which prevent evaluating its possible relevance for economics. In this paper, we present&lt;/p&gt;
&lt;p&gt;a novel, parsimonious experimental design to test for the economic validity of the mere choice efect addressing these shortcomings. Our design uses well-defned,&lt;/p&gt;
&lt;p&gt;monetary lotteries, all decisions are incentivized, and we efectively randomize participants’ initial choices without relying on deception. Results from a large, preregistered online experiment fnd no support for the mere choice efect. Our results challenge conventional wisdom outside economics. The mere choice efect does not seem to be a concern for economics, at least in the domain of decision making under risk.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
description: This entry is a five-file data package totaling 31.4 MB, containing files in .pdf and .dta formats.If you use this dataset, please cite: Alós-Ferrer, Carlos; Granic, Georg (2022). Does choice change preferences? An incentivized test of the mere choice effect - Data set. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.20531118
DOI: 10.15468/dl.4bssvk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus jacupiranga)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028639-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29959079
title: On selecting robust approaches for learning predictive biomarkers in metabolomics datasets

description: <b>Code repo (data acquisition) </b>: https://github.com/thibgo/metabolightsbinarydatasets<b>Code repo (experiments) </b>: https://github.com/thibgo/metabolightsbinarydatasets<b>Article</b> : https://www.semanticscholar.org/paper/On-Selecting-Robust-Approaches-for-Learning-in-Data-Godon-Plante/cdac02dd43aa79d5ef5240367ca02dec9ba635e4<b>Abstract</b> :Metabolomics, the study of small molecules within biological systems, offers insights into metabolic processes and, consequently, holds great promise for advancing health outcomes. Biomarker discovery in metabolomics represents a significant challenge, notably due to the high dimensionality of the data. Recent work has addressed this problem by analyzing the most important variables in machine learning models. Unfortunately, this approach relies on prior hypotheses about the structure of the data and may overlook simple patterns. To assess the true usefulness of machine learning methods, we evaluate them on a collection of 835 metabolomics data sets. This effort provides valuable insights for metabolomics researchers regarding where and when to use machine learning. It also establishes a benchmark for the evaluation of future methods. Nonetheless, the results emphasize the high diversity of data sets in metabolomics and the complexity of finding biologically relevant biomarkers. As a result, we propose a novel approach applicable across all data sets, offering guidance for future analyses. This method involves directly comparing univariate and multivariate models. We demonstrate through selected examples how this approach can guide data analysis across diverse data set structures, representative of the observed variability. Code and data are available for research purposes.
DOI: 10.6084/m9.figshare.29959079.v1
title: On selecting robust approaches for learning predictive biomarkers in metabolomics datasets

description: <b>Code repo (data acquisition) </b>: https://github.com/thibgo/metabolightsbinarydatasets<b>Code repo (experiments) </b>: https://github.com/thibgo/metabolightsbinarydatasets<b>Article</b> : https://www.semanticscholar.org/paper/On-Selecting-Robust-Approaches-for-Learning-in-Data-Godon-Plante/cdac02dd43aa79d5ef5240367ca02dec9ba635e4<b>Abstract</b> :Metabolomics, the study of small molecules within biological systems, offers insights into metabolic processes and, consequently, holds great promise for advancing health outcomes. Biomarker discovery in metabolomics represents a significant challenge, notably due to the high dimensionality of the data. Recent work has addressed this problem by analyzing the most important variables in machine learning models. Unfortunately, this approach relies on prior hypotheses about the structure of the data and may overlook simple patterns. To assess the true usefulness of machine learning methods, we evaluate them on a collection of 835 metabolomics data sets. This effort provides valuable insights for metabolomics researchers regarding where and when to use machine learning. It also establishes a benchmark for the evaluation of future methods. Nonetheless, the results emphasize the high diversity of data sets in metabolomics and the complexity of finding biologically relevant biomarkers. As a result, we propose a novel approach applicable across all data sets, offering guidance for future analyses. This method involves directly comparing univariate and multivariate models. We demonstrate through selected examples how this approach can guide data analysis across diverse data set structures, representative of the observed variability. Code and data are available for research purposes.
DOI: 10.15468/dl.ke2ea4
title: Occurrence Download

description: A dataset containing 6372 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-54.53041 -24.00682,-54.11321 -23.9956,-54.09527 -23.46626,-54.52592 -23.46402,-54.52592 -23.49318,-54.53041 -24.00682))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6372 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028643-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erekgv
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus mykiss",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028644-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fkenkh
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rumex maricola"
 ]
}

 The dataset includes 67 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028645-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhuh77
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia saman",
 "Country is Timor-Leste",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028646-250811113504898/datasets/export for details.
DOI: 10.15468/dl.naqvdz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia saman",
 "Country is Togo",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028647-250811113504898/datasets/export for details.
DOI: 10.48579/pro/yswhrv
title: Elusive tropical forest canopy diversity revealed through environmental DNA contained in rainwater

description: This dataset corresponds to the data produced for the WP1 of the project BARCODRAIN, which aimed at identifying how to sample correctly rainwash eDNA (i.e. spatially, through time, and with what rain and DNA collection method).
DOI: 10.5281/zenodo.16792127
title: DS01.15 Teff WGA genotype data

description: This dataset contains the teff whole genome alignment coordination maps for all 11 hybrids. These hal files can be used to translate coordinates from each paternal genotype to Quncho genotype. In addition, it contains lists of SNPs between the Quncho genome and paternal genomes as well as a list of all biallelic SNPs position present in at least two lines in our population.
DOI: 10.5281/zenodo.16792128
title: DS01.15 Teff WGA genotype data

description: This dataset contains the teff whole genome alignment coordination maps for all 11 hybrids. These hal files can be used to translate coordinates from each paternal genotype to Quncho genotype. In addition, it contains lists of SNPs between the Quncho genome and paternal genomes as well as a list of all biallelic SNPs position present in at least two lines in our population.
DOI: 10.15468/dl.t7gvhy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Synodontis macrops)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028648-250811113504898/datasets/export for details.
DOI: 10.34894/plynth
title: Rewards and cooperation in social dilemma games. Journal of Environmental Economics and Management_stata data and do file

description: Stata dta and do file of the paper "Stoop, J., Van Soest, D., and Vyrastekova, J. (2018). &lt;a href="https://www.sciencedirect.com/science/article/abs/pii/S0095069616305150"&gt;Rewards and cooperation in social dilemma games&lt;/a&gt;. &lt;i&gt;Journal of Environmental Economics and Management&lt;/i&gt;, 88, 300-310".&lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;

&lt;p&gt;&lt;/p&gt;
&lt;p&gt;The do file shows the statistical
analyses of this paper, showed in the order in which they appear in the paper.&lt;/p&gt;&lt;br&gt;&lt;/div&gt;
description: This entry is a five-file data package totaling 1.1 MB, containing a file in .dta format.If you use this dataset, please cite: Stoop, Jan; van Soest, Daan; Vyrastekova, Jana (2021). Rewards and cooperation in social dilemma games. Journal of Environmental Economics and Management_stata data and do file. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.14636343
DOI: 10.5281/zenodo.16792229
title: DS01.16 Teff cis-elements candidate for drought improvement

description: This dataset contains high-confidence set of cis-element candidates for drought tolerance improvement. Data are structured in tables related to MOA polymorphisms (MP) and allele-specific MOA polymorphisms (AMP) among all the 11 crosses studied.
DOI: 10.5281/zenodo.16792230
title: DS01.16 Teff cis-elements candidate for drought improvement

description: This dataset contains high-confidence set of cis-element candidates for drought tolerance improvement. Data are structured in tables related to MOA polymorphisms (MP) and allele-specific MOA polymorphisms (AMP) among all the 11 crosses studied.
DOI: 10.5281/zenodo.10402551
title: Strategic Environmental Messaging: Identifying the Most Impactful Communication Characteristics Through Cluster Analysis

description: Datasets for study 1 & 2 for the manuscript Strategic Environmental Messaging: Identifying the Most Impactful Communication Characteristics Through Cluster Analysis
DOI: 10.5281/zenodo.10402550
title: Strategic Environmental Messaging: Identifying the Most Impactful Communication Characteristics Through Cluster Analysis

description: Datasets for study 1 & 2 for the manuscript Strategic Environmental Messaging: Identifying the Most Impactful Communication Characteristics Through Cluster Analysis
DOI: 10.2908/migr_resbc13
title: Personnes assujetties aux décisions relatives à la carte bleue de l’UE par durée de validité, âge, sexe, nationalité et secteur économique de l'employeur
title: Personen, die Entscheidungen über die Blaue Karte EU unterliegen, nach Gültigkeitsdauer, Alter, Geschlecht, Staatsangehörigkeit und Wirtschaftssektor des Arbeitgebers
title: Persons subject to EU Blue Card decisions by length of validity duration, age, sex, citizenship and economic sector of employer
DOI: 10.2908/migr_resbc31
title: EU Blue Card holders admitted for long-term mobility by length of validity, age, sex, citizenship and previous country of residence
title: Titulaires de la carte bleue de l’UE admis pour une mobilité de longue durée par durée de validité, âge, sexe, nationalité et pays de résidence précédent
title: Inhaber einer Blauen Karte EU, die zur langfristigen Mobilität zugelassen sind, nach Gültigkeitsdauer, Alter, Geschlecht, Staatsangehörigkeit und vorherigem Wohnsitzland
DOI: 10.15468/dl.4qa56n
title: Occurrence Download

description: A dataset containing 72185 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Belgian Coccinellidae - Ladybird beetles in Belgium"
 ]
}

 The dataset includes 72185 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028634-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2908/migr_resbc11
title: Persons subject to EU Blue Card decisions by length of validity, age, sex, citizenship and occupation
title: Personnes assujetties aux décisions relatives à la carte bleue de l’UE par durée de validité, âge, sexe, nationalité et profession
title: Personen, die Entscheidungen über die Blaue Karte EU unterliegen, nach Gültigkeitsdauer, Alter, Geschlecht, Staatsangehörigkeit und Beruf
DOI: 10.2908/migr_resbc12
title: Persons subject to EU Blue Card decisions by length of validity, age, sex, citizenship and size of employer
title: Personnes assujetties aux décisions relatives à la carte bleue de l’UE par durée de validité, âge, sexe, nationalité et taille de l'employeur
title: Personen, die Entscheidungen über die Blaue Karte EU unterliegen, nach Gültigkeitsdauer, Alter, Geschlecht, Staatsangehörigkeit und Größe des Arbeitgebers
DOI: 10.2908/migr_resbc34
title: EU Blue Card holders’ family members admitted for long-term mobility by age, sex, citizenship, and previous country of residence
title: Membres de la famille des titulaires de la carte bleue de l’UE admis pour une mobilité de longue durée par âge, sexe, nationalité et pays de résidence précédent
title: Familienangehörige von Inhabern einer Blauen Karte EU, die zur langfristigen Mobilität zugelassen wurden, nach Alter, Geschlecht, Staatsangehörigkeit und vorherigem Wohnsitzland
DOI: 10.17172/nomad/2025.08.21-1
title: NOMAD dataset: YFe2Ge2_manuscript_raw_data
DOI: 10.15468/dl.4vkynk
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence, Human Observation)",
 "Geometry POLYGON((91.34358 14.90078,88.6736 -7.62712,106.02843 -16.30453,144.24241 -4.28965,141.40557 16.56951,118.0433 18.23825,105.69468 17.07013,91.34358 14.90078))",
 "TaxonKey is Cotylelobium"
 ]
}

 The dataset includes 220 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028649-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77pugy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia saman",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028652-250811113504898/datasets/export for details.
DOI: 10.15468/dl.pk6z5c
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen, Material citation, Living Specimen, Occurrence evidence)",
 "Continent is Asia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthaga achatina"
 ]
}

 The dataset includes 278 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028651-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zc2tw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia saman",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028654-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4fdcbda5-e7bf-4b20-bd3c-5f99dce49679
title: Data underlying the PhD thesis: Learning-based Distributed Resource Flexibility Estimation for Enhanced TSO-DSO Coordination

description: Data for case studies for the selection of flexibility areas using probabilistic machine learning under measurement uncertainty. Data pertaining to other data-driven approaches in my thesis was confidential.
DOI: 10.4121/4fdcbda5-e7bf-4b20-bd3c-5f99dce49679.v1
title: Data underlying the PhD thesis: Learning-based Distributed Resource Flexibility Estimation for Enhanced TSO-DSO Coordination

description: Data for case studies for the selection of flexibility areas using probabilistic machine learning under measurement uncertainty. Data pertaining to other data-driven approaches in my thesis was confidential.
DOI: 10.15468/dl.rkqtkt
title: Occurrence Download

description: A dataset containing 142440 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterfly monitoring scheme in Flanders, Belgium"
 ]
}

 The dataset includes 142440 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028642-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx6mxq
title: Occurrence Download

description: A dataset containing 58196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Koeleria macrantha"
 ]
}

 The dataset includes 58196 records from 667 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028563-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mas3xh
title: Occurrence Download

description: A dataset containing 330046 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Broedvogels - Atlas of the breeding birds in Flanders 2000-2002"
 ]
}

 The dataset includes 330046 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028641-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t67ye9
title: Occurrence Download

description: A dataset containing 38284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azolla filiculoides"
 ]
}

 The dataset includes 38284 records from 823 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028650-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18237595
title: Cyrtomium C.Presl. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:32
DOI: 10.3535/myr-8mf-mde
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rn3-bqe-97z
title: Neocomites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0d2-qbe-8g2
title: Caniformia Kretzoi, 1938

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dzt-7eh-r1h
title: Elephantidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dv9-cep-wym
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2vd-e4q-mr2
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ssb-z21-cjq
title: Heteroscleromorpha Cárdenas, Pérez & Boury-Esnault, 2012

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wz7-yvd-bkn
title: Pseudosubplanites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ykj-gbf-6bc
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cm1-b1m-ts6
title: Heteroscleromorpha Cárdenas, Pérez & Boury-Esnault, 2012

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mr5-mm4-5ay
title: Cervus elaphus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.