cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5tx88b
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023890-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejaq73
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia grandiflora",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023891-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jjdrva
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023892-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ku4a5s
title: Occurrence Download

description: A dataset containing 447 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cajanus scarabaeoides",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 447 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023893-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17215731
title: Machine Learning and Metabolic Engineering for Personalized Medicine in Glucose-6-phosphate Dehydrogenase Deficiency

description: Personalized Medicine - Metabolic Model Analysis


This repository contains code and data for metabolic flux analysis and cellular model adaptation for personalized medicine applications. It integrates metabolic network simulations with machine learning to identify optimal cellular models under different conditions.



Requirements




MATLAB (R2023a)

COBRA Toolbox (v2.42.0)

MOSEK Solver (v10.2.6)
DOI: 10.5281/zenodo.17215732
title: Machine Learning and Metabolic Engineering for Personalized Medicine in Glucose-6-phosphate Dehydrogenase Deficiency

description: Personalized Medicine - Metabolic Model Analysis


This repository contains code and data for metabolic flux analysis and cellular model adaptation for personalized medicine applications. It integrates metabolic network simulations with machine learning to identify optimal cellular models under different conditions.



Requirements




MATLAB (R2023a)

COBRA Toolbox (v2.42.0)

MOSEK Solver (v10.2.6)
DOI: 10.15468/dl.crk5hm
title: Occurrence Download

description: A dataset containing 423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepisosteus platyrhincus"
 ]
}

 The dataset includes 423 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023894-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p5626
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023895-250920141307145/datasets/export for details.
DOI: 10.15468/dl.824sar
title: Occurrence Download

description: A dataset containing 559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Berlinia razzifera, Berlinia rabiensis, Hymenostegia breteleri, Talbotiella breteleri, Talbotiella bakossiensis, Talbotiella bakossiensis, Talbotiella cheekii, Talbotiella ebo, Talbotiella korupensis, Talbotiella velutina)"
 ]
}

 The dataset includes 559 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023897-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4a99gw
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callerya reticulata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 105 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023896-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h63368
title: Occurrence Download

description: A dataset containing 317 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atractosteus spatula"
 ]
}

 The dataset includes 317 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023898-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7t3s6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023901-250920141307145/datasets/export for details.
DOI: 10.15468/dl.gjmzq3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerium oleander",
 "Country is Burkina Faso",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023900-250920141307145/datasets/export for details.
DOI: 10.15468/dl.wm5mzm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerium oleander",
 "Country is Brunei Darussalam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023899-250920141307145/datasets/export for details.
DOI: 10.15468/dl.gc4abw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calliandra brevipes",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023902-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujp8mg
title: Occurrence Download

description: A dataset containing 3221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepisosteus osseus"
 ]
}

 The dataset includes 3221 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023903-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k68tck
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerium oleander",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023905-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86kec5
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023904-250920141307145/datasets/export for details.
DOI: 10.15468/dl.4erge4
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nerium oleander",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023906-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwjje8
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atractosteus tristoechus"
 ]
}

 The dataset includes 14 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023907-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4buxmj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calliandra emarginata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023908-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9h6ut4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Living Specimen, Occurrence evidence)",
 "DatasetKey is one of (Records of vascular plants, bryophytes and lichens from Ukrainian Grassland Database, An Extended dataset of registration points of species listed in Resolution 6 and 4 of the Bern Convention, Records of protected plant and fungi species in Ukraine, Finds of rare species of plants and fungi in Ukraine (2022), Wild plants on the territory of the Right Bank Forest-Steppe of Ukraine, Flora of kurgans in the \"Wild Fields\" (Ukraine), Records of protected animal, plant and fungi species in Ukraine, Plants of the southern part of the Synyukha river basin, Rare species of plants in the southern part of the Synyukha river basin)",
 "GadmGid is UKR.13_1",
 "Geometry POLYGON((-5.81728 15.99151,156.81728 15.99151,156.81728 81.00849,-5.81728 81.00849,-5.81728 15.99151))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astragalus dasyanthus"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023909-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ph9zh
title: Occurrence Download

description: A dataset containing 64645163 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset includes 64645163 records from 3414 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023858-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxhf2r
title: Occurrence Download

description: A dataset containing 3144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centropyge bicolor (Bloch, 1787)"
 ]
}

 The dataset includes 3144 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069215-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nu3xm5
title: Occurrence Download

description: A dataset containing 1104745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus (Linnaeus, 1766), Myocastor coypus (Molina, 1782))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1104745 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069212-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12285889
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.2w3qtt
title: Occurrence Download

description: A dataset containing 19419 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalopholis argus Schneider, 1801"
 ]
}

 The dataset includes 19419 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069217-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c52n4zw89
title: MassIVE MSV000098328 - Proteomic profiling of extracellular vesicles from virulent (vEV) and attenuated (aEV) Paracoccidioides brasiliensis isolate Pb18, as well as EVs released from virulent Pb18 exposed to oxidative (vEVOxi) and nitrosative (vEVNO) stress.
title: This dataset supports a comparative proteomic analysis of extracellular vesicles (EVs) and whole-cell extracts from the pathogenic fungus Paracoccidioides brasiliensis isolate Pb18. The study investigates protein cargo differences between EVs derived from virulent (vEV) and attenuated (aEV) variants, including vEVs exposed to oxidative (vEVOxi) and nitrosative (vEVNO) stress. Characterization of EVs included NTA, DLS, and Zeta potential measurements. Proteins were enzymatically digested and analyzed via nano-flow LC-MS/MS.
DOI: 10.6084/m9.figshare.29410208
title: Paper Products: Flood susceptibility mapping in El Niño Phenomenom integrat-2 ing multitemporal radar analysis, GIS and machine learning 3 techniques, Piura River basin, Peru

description: Floods represent the most frequent natural hazard and are the ones that impact the largest number of people worldwide, these events are particularly exacerbated by extreme climatic phenomena, such as the 2017 Coastal El Niño, which was classified as the most intense in the past century, with the Piura region of Peru being the most affected. Flood susceptibility models (FSM) are essential for mitigating the negative impacts of floods through land-use planning, policy and plan formulation, and fostering community resilience for the sustainable occupation and use of floodplains. This study aimed to develop flood susceptibility models (FSM) in northern Peru, particularly in the Piura region, using a hybrid methodology integrating optical and radar remote sensing, GIS, and machine learning (ML) techniques. Sentinel-1 data were used to map flood extent using the Normalized Difference Flood Index (NDFI), while flood susceptibility was modeled using ten topographic variables (derived from a DEM), the Normalized Difference Vegetation Index (NDVI), geology, and geomorphology; issues related to correlation and multicollinearity among topographic variables were addressed through Principal Component Analysis (PCA), selecting four principal components that explained 75.4% of the variance. Six FSMs were generated using Support Vector Machines (SVM) and Random Forest (RF), combined with different methods to estimate the quantitative relationship between variables and flood occurrence: Quantiles (q), Frequency Ratio (FR), and Weights of Evidence (WoE) (SVM-q, SVM-FR, SVM-WoE, RF-q, RF-FR, and RF-WoE). Model validation was performed using metrics such as the Area Under the ROC Curve (AUC), F1-score, and Accuracy, along with a cross-validation analysis. The results revealed that the RF ensemble model with WoE (RF-WoE) exhibited the best performance (AUC = 0.988 in training and &gt;0.907 in validation), outperforming the SVM-based models; the SHAP analysis confirmed the significance of geology, geomorphology, and aspect in flood prediction. The resulting susceptibility maps identified the lower Piura River basin as the most vulnerable area, particularly during the 2017 Coastal El Niño event, due to morphological factors and inadequate land occupation. This study contributes to the field by demonstrating the effectiveness of a hybrid methodology that combines PCA, machine learning, and SHAP analysis, providing a more robust and interpretable approach to flood susceptibility mapping.
DOI: 10.6084/m9.figshare.29410208.v1
title: Paper Products: Flood susceptibility mapping in El Niño Phenomenom integrat-2 ing multitemporal radar analysis, GIS and machine learning 3 techniques, Piura River basin, Peru

description: Floods represent the most frequent natural hazard and are the ones that impact the largest number of people worldwide, these events are particularly exacerbated by extreme climatic phenomena, such as the 2017 Coastal El Niño, which was classified as the most intense in the past century, with the Piura region of Peru being the most affected. Flood susceptibility models (FSM) are essential for mitigating the negative impacts of floods through land-use planning, policy and plan formulation, and fostering community resilience for the sustainable occupation and use of floodplains. This study aimed to develop flood susceptibility models (FSM) in northern Peru, particularly in the Piura region, using a hybrid methodology integrating optical and radar remote sensing, GIS, and machine learning (ML) techniques. Sentinel-1 data were used to map flood extent using the Normalized Difference Flood Index (NDFI), while flood susceptibility was modeled using ten topographic variables (derived from a DEM), the Normalized Difference Vegetation Index (NDVI), geology, and geomorphology; issues related to correlation and multicollinearity among topographic variables were addressed through Principal Component Analysis (PCA), selecting four principal components that explained 75.4% of the variance. Six FSMs were generated using Support Vector Machines (SVM) and Random Forest (RF), combined with different methods to estimate the quantitative relationship between variables and flood occurrence: Quantiles (q), Frequency Ratio (FR), and Weights of Evidence (WoE) (SVM-q, SVM-FR, SVM-WoE, RF-q, RF-FR, and RF-WoE). Model validation was performed using metrics such as the Area Under the ROC Curve (AUC), F1-score, and Accuracy, along with a cross-validation analysis. The results revealed that the RF ensemble model with WoE (RF-WoE) exhibited the best performance (AUC = 0.988 in training and &gt;0.907 in validation), outperforming the SVM-based models; the SHAP analysis confirmed the significance of geology, geomorphology, and aspect in flood prediction. The resulting susceptibility maps identified the lower Piura River basin as the most vulnerable area, particularly during the 2017 Coastal El Niño event, due to morphological factors and inadequate land occupation. This study contributes to the field by demonstrating the effectiveness of a hybrid methodology that combines PCA, machine learning, and SHAP analysis, providing a more robust and interpretable approach to flood susceptibility mapping.
DOI: 10.15468/dl.rnkbnu
title: Occurrence Download

description: A dataset containing 3369 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Papilio nireus Linnaeus, 1758"
 ]
}

 The dataset includes 3369 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069218-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ebhacd
title: Data from project "Recuperando a Bernis: Tutorías y actividades docentes con los materiales de los Estudios Estadísticos de 1914."

description: Francisco Bernis elaboró en 1914 con la colaboración de sus estudiantes de economía política en la Universidad de Salamanca los "Estudios estadísticos" donde creaba un índice ponderado de precios, otro de salarios, y una encuesta de presupuestos. En el curso 2024-25 hemos recuperado estos datos para su utilización en la docencia actual dentro del proyecto de innovación docente USAL 2024/122.
In 1914, Francisco Bernis, in collaboration with his students of political economy at the University of Salamanca, developed the "Statistical Studies," which included a weighted price index, a wage index, and a budget survey. In the 2024-25 academic year, we recovered these data for use in current teaching within the Innovative Teaching Project USAL 2024/122.
DOI: 10.15468/dl.apw2b5
title: Occurrence Download

description: A dataset containing 3518 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cephalopholis boenak (Bloch, 1790)"
 ]
}

 The dataset includes 3518 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069219-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15742449
title: Measured Pb Concentration

description: Measured Pb Concentration
DOI: 10.5281/zenodo.15742450
title: Measured Pb Concentration

description: Measured Pb Concentration
DOI: 10.15468/dl.g53jke
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sylvilagus mansuetus Nelson, 1907"
 ]
}

 The dataset includes 53 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069220-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.