cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.69uta3
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnidaria",
 "DatasetKey is Welsh Invertebrate Database (WID)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-25.03991 31.75, 41.65954 31.75, 41.65954 71.53037, -25.03991 71.53037, -25.03991 31.75))"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208594-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba8mpr
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Combretum apiculatum Sond."
 ]
}

 The dataset includes 1190 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276810-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86kqr9
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felicia bergeriana (Spreng.) O.Hoffm. ex Zahlbr."
 ]
}

 The dataset includes 90 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209525-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5p4kcv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Synbranchiformes",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277559-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8g6yy5
title: Occurrence Download

description: A dataset listing the 1937 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-6.41545 36.73785,-6.07195 36.21092,-5.80991 36.2231,-5.91022 36.73139,-6.41545 36.73785))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 1937 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232044-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4yeu3
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centaurea exarata Boiss. ex Coss."
 ]
}

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027038-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ext9q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telestes beoticus (Stephanidis, 1939)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027039-241024112534372/datasets/export for details.
DOI: 10.5281/zenodo.14044686
title: Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure: Data

description: Data and codebook for experiment described in publication titled Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure published in Journal of Experimental Psychology: Learning, Memory, and Cognition authored by Linda McCaughey, Johannes Prager and Klaus Fiedler
DOI: 10.5281/zenodo.14044687
title: Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure: Data

description: Data and codebook for experiment described in publication titled Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure published in Journal of Experimental Psychology: Learning, Memory, and Cognition authored by Linda McCaughey, Johannes Prager and Klaus Fiedler
DOI: 10.5281/zenodo.14033025
title: All-optical superconducting qubit readout

description: Here you can find data and its analysis used in the creation of the publication "All-optical superconducting qubit readout". https://arxiv.org/abs/2310.16817
DOI: 10.5281/zenodo.14033026
title: All-optical superconducting qubit readout

description: Here you can find data and its analysis used in the creation of the publication "All-optical superconducting qubit readout". https://arxiv.org/abs/2310.16817
DOI: 10.5281/zenodo.14044172
title: Dataset and results for paper:Data driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases

description: A data-driven strategy for virtual material analysis and synthesis enables the representation, characterization, and generation of solid electrolyte interphase (SEI) configurations based on kinetic Monte Carlo (KMC) simulations. A variational autoencoder (VAE) model, equipped with a property predictor, learns key features of 2D SEI configurations from selected samples. The model analyzes essential features at the bottleneck to assess how properties like thickness, porosity, density, and volume fraction influence learned data-driven characteristics. To improve classification, inputs to the VAE are conditioned with a reaction barrier set linked to specific SEI conditions, allowing for the generation of SEI configurations with customized physical properties.
DOI: 10.5281/zenodo.14044173
title: Dataset and results for paper:Data driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases

description: A data-driven strategy for virtual material analysis and synthesis enables the representation, characterization, and generation of solid electrolyte interphase (SEI) configurations based on kinetic Monte Carlo (KMC) simulations. A variational autoencoder (VAE) model, equipped with a property predictor, learns key features of 2D SEI configurations from selected samples. The model analyzes essential features at the bottleneck to assess how properties like thickness, porosity, density, and volume fraction influence learned data-driven characteristics. To improve classification, inputs to the VAE are conditioned with a reaction barrier set linked to specific SEI conditions, allowing for the generation of SEI configurations with customized physical properties.
DOI: 10.15468/dl.2z65tn
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Madagascar",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Natural History Museum (London) Collection Specimens, Museum of Comparative Zoology, Harvard University, Lemur_occurrences_CVB_MLP_20190917, naturgucker, Observation.org, Nature data from around the World)",
 "Geometry POLYGON((40.61980 -22.19206,48.97612 -22.19206,48.97612 -18.84954,40.61980 -18.84954,40.61980 -22.19206))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates)",
 "IucnRedListCategory is one of (NE, DD, LC, NT, VU, EN, CR, EW, EX)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 19456090-b49a-11d8-abeb-b8a03c50a862, 7d3cd162-288f-42ad-b2ad-915272be963e, b4640710-8e03-11d8-b956-b8a03c50a862, bb646dff-a905-4403-a49b-6d378c2cf0d9, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f)",
 "TaxonKey is Lepilemur I.Geoffroy Saint-Hilaire, 1851",
 "Year 1865-2024"
 ]
}

 The dataset includes 126 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027040-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jsgye
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Lupinus polyphyllus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027043-241024112534372/datasets/export for details.
DOI: 10.15468/dl.pfdhq8
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Madagascar",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Natural History Museum (London) Collection Specimens, Museum of Comparative Zoology, Harvard University, Lemur_occurrences_CVB_MLP_20190917, naturgucker, Observation.org, Nature data from around the World)",
 "Geometry POLYGON((40.61980 -22.19206,48.97612 -22.19206,48.97612 -18.84954,40.61980 -18.84954,40.61980 -22.19206))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84, Continent derived from coordinates)",
 "IucnRedListCategory is one of (NE, DD, LC, NT, VU, EN, CR, EW, EX)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 19456090-b49a-11d8-abeb-b8a03c50a862, 7d3cd162-288f-42ad-b2ad-915272be963e, b4640710-8e03-11d8-b956-b8a03c50a862, bb646dff-a905-4403-a49b-6d378c2cf0d9, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f)",
 "TaxonKey is Lepilemur I.Geoffroy Saint-Hilaire, 1851",
 "Year 1865-2024"
 ]
}

 The dataset includes 126 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027042-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eayy2q
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Pulsatilla alpina subsp. cantabrica M.Laínz"
 ]
}

 The dataset includes 68 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027041-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e8y35h
title: Occurrence Download

description: A dataset containing 12218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bugeranus carunculatus (Gmelin, 1789)"
 ]
}

 The dataset includes 12218 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027037-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14044728
title: INNOVATIVE MACHINE LEARNING APPROACHES TO FOSTER FINANCIAL INCLUSION IN MICROFINANCE

description: This study examines the application of machine learning algorithms to enhance financial inclusion in microfinance, focusing on credit scoring, risk and fraud detection, and customer segmentation. We performed feature engineering and employed models such as Logistic Regression, Decision Trees, Random Forests, Gradient Boosting Machines (XGBoost and LightGBM), Support Vector Machines (SVM), Autoencoders, Isolation Forests, and K-means Clustering. LightGBM achieved the highest accuracy (89.6%) and AUC (0.92) in credit scoring, while Random Forests demonstrated strong performance in both loan approval (86.7% accuracy) and fraud detection (87.6% accuracy, AUC of 0.88). SVM also performed competitively, and unsupervised methods like Autoencoders and Isolation Forests showed potential for anomaly detection but required further refinement.K-means Clustering excelled in customer segmentation with a silhouette score of 0.72, enabling tailored services based on client demographics. Our findings highlight the significant impact of machine learning on improving credit scoring accuracy, reducing fraud risks, and enhancing customer service delivery in microfinance, thereby promoting financial inclusion for underserved populations. Ethical considerations and model interpretability are crucial, particularly for smaller institutions. This study advocates for the broader adoption of machine learning in the microfinance sector.
DOI: 10.5281/zenodo.14044729
title: INNOVATIVE MACHINE LEARNING APPROACHES TO FOSTER FINANCIAL INCLUSION IN MICROFINANCE

description: This study examines the application of machine learning algorithms to enhance financial inclusion in microfinance, focusing on credit scoring, risk and fraud detection, and customer segmentation. We performed feature engineering and employed models such as Logistic Regression, Decision Trees, Random Forests, Gradient Boosting Machines (XGBoost and LightGBM), Support Vector Machines (SVM), Autoencoders, Isolation Forests, and K-means Clustering. LightGBM achieved the highest accuracy (89.6%) and AUC (0.92) in credit scoring, while Random Forests demonstrated strong performance in both loan approval (86.7% accuracy) and fraud detection (87.6% accuracy, AUC of 0.88). SVM also performed competitively, and unsupervised methods like Autoencoders and Isolation Forests showed potential for anomaly detection but required further refinement.K-means Clustering excelled in customer segmentation with a silhouette score of 0.72, enabling tailored services based on client demographics. Our findings highlight the significant impact of machine learning on improving credit scoring accuracy, reducing fraud risks, and enhancing customer service delivery in microfinance, thereby promoting financial inclusion for underserved populations. Ethical considerations and model interpretability are crucial, particularly for smaller institutions. This study advocates for the broader adoption of machine learning in the microfinance sector.
DOI: 10.15468/dl.qzphvq
title: Occurrence Download

description: A dataset containing 1125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Cucurbita maxima Duchesne"
 ]
}

 The dataset includes 1125 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027044-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2mv97
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelasgus marathonicus (Vinciguerra, 1921)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027047-241024112534372/datasets/export for details.
DOI: 10.15468/dl.hm9vqb
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer hyrcanum Fisch. & C.A.Mey.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Literature Occurrence, Living Specimen, Unknown evidence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 308 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027046-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asjfwd
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((25.39101 -27.5786,26.15201 -27.4867,26.15201 -27.03799,25.32955 -26.86824,25.39101 -27.5786))",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae",
 "Year 2014-2024"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027050-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fx2yfs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Economidichthys pygmaeus (Holly, 1929)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027052-241024112534372/datasets/export for details.
DOI: 10.15468/dl.wdrxhs
title: Occurrence Download

description: A dataset containing 4769 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eulemur Simons & Rumpler, 1988"
 ]
}

 The dataset includes 4769 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027053-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn5kyy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Economidichthys trichonis Economidis & Miller, 1990",
 "HasCoordinate is true",
 "Year is greater than or equal to 2013",
 "Year is less than or equal to 2018",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027055-241024112534372/datasets/export for details.
DOI: 10.15468/dl.mhdtqv
title: Occurrence Download

description: A dataset containing 378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Chrysomelidae of Central Europe",
 "Country is Croatia"
 ]
}

 The dataset includes 378 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027056-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbntv8
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Algae herbarium TRH, NTNU University Museum",
 "Country is Croatia"
 ]
}

 The dataset includes 326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027058-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmzp26
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Araneae Collection",
 "Country is Croatia"
 ]
}

 The dataset includes 308 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027057-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8rcsxg
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Greece, Romania, unknown or invalid, Hungary)",
 "TaxonKey is Centaurea atropurpurea Olivier"
 ]
}

 The dataset includes 122 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027060-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8cnnmz
title: Occurrence Download

description: A dataset containing 1765 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.12_1",
 "TaxonKey is Cistus L."
 ]
}

 The dataset includes 1765 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027061-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twzwjs
title: Occurrence Download

description: A dataset listing the 27435 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.07406 47.22466,-2.18024 47.22466,-2.18024 49.11571,-5.07406 49.11571,-5.07406 47.22466))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 27435 records were derived from 1540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026980-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j9zsd8
title: Occurrence Download

description: A dataset containing 1033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Sterculia setigera Delile"
 ]
}

 The dataset includes 1033 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007733-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.999tcr
title: Occurrence Download

description: A dataset containing 1930 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen"
 ]
 },
 {
 "or" : [
 "Country is United States of America",
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Belize",
 "Country is El Salvador",
 "Country is Honduras",
 "Country is Nicaragua",
 "Country is Costa Rica",
 "Country is Panama"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Centaurea solstitialis L."
 ]
}

 The dataset includes 1930 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027525-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3iyuzu
title: Occurrence Download

description: A dataset containing 1412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "TaxonKey is Pseudocyphellaria Vain., 1890",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1412 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004254-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.