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

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xerophyta suaveolens"
 ]
}

 The dataset includes 138 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006741-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/nphsrg
title: Enquête sur la population active, novembre 2025 [Canada]
title: Labour Force Survey, November 2025 [Canada]
title: EPA novembre 2025

description: Les données de l'EPA sont utilisées pour produire le très connu taux de chômage ainsi que d'autre indicateurs de base du marché de travail tel que le taux d'emploi et le taux d'activité. En plus, l'EPA procure également des estimations de l'emploi selon l'industrie, la profession, les secteurs publics et privés, le nombre d'heures travaillées et davantage. Il est possible de croiser ces séries selon une variété de caractéristiques démographiques. Des estimations sont diffusées pour le Canada, les provinces, les territoires et pour plusieurs régions infraprovinciales. Pour les employés, des données sur les salaires, la couverture syndicale, la permanence de l'emploi et la taille de l'établissement sont également disponibles.
&lt;br&gt;
&lt;br&gt;
Ces données sont utilisées par les différents paliers de gouvernements pour évaluer et planifier les programmes d'emploi au Canada. Les taux de chômage régionaux sont utilisés par Emploi et Développement social Canada pour déterminer l'admissibilité au régime d'assurance-emploi, de même que le niveau et la durée des prestations pour les personnes qui vivent à l'intérieur d'une région d'assurance-emploi donnée. Les données sont utilisées par les analystes du marché du travail, les économistes, les consultants, les planificateurs, les prévisionnistes ainsi que les universitaires et ce, autant du secteur public que privé.
&lt;br&gt;
&lt;br&gt;
&lt;b&gt;Activité statistique&lt;/b&gt;
&lt;br&gt;
Ensemble, quatre programmes statistiques brossent un portrait plus complet des événements actuels liés au marché du travail. Il s'agit de l'Enquête sur la population active (EPA), de l'Enquête sur l'emploi, la rémunération et les heures de travail (EERH), des Statistiques de l'assurance-emploi (SAE) et de l'Enquête sur les postes vacants et les salaires (EPVS). Chaque mois, l'EPA fournit des données actuelles sur le marché du travail, dont le taux de chômage, et une analyse démographique. Plus tard, le rapport de l'EERH présente des données plus détaillées sur l'emploi et la rémunération de l'industrie non agricole, et l'EPVS présente des données sur les indicateurs préliminaires sur les postes vacants. Les SAE fournissent beaucoup de détails sur les prestations d'assurance-emploi selon la région géographique, les caractéristiques sociodémographiques et la profession antérieure. Chaque trimestre, l'EPVS fournit des renseignements détaillés sur les postes vacants selon la profession et la région économique.
&lt;br&gt;
&lt;br&gt;
description: Enquête sur la population active
DOI: 10.15468/dl.vqnkst
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is El Salvador",
 "TaxonKey is Nephronaias rowellii (I.Lea, 1859)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000277-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pa3aq
title: Occurrence Download

description: A dataset containing 32430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trochilidae"
 ]
}

 The dataset includes 32430 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000280-250515123054153/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/11825771
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.k75rzz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasioglossum providens (Smith, 1879)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000281-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.apr8qd
title: Occurrence Download

description: A dataset containing 771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paulownia fortunei (Seem.) Hemsl.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 771 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000282-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pmpkqy
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carica chilensis (Planch.) Solms"
 ]
}

 The dataset includes 40 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000283-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/psn4yi
title: Sheetpedia

description: Sheetpedia
DOI: 10.15468/dl.msaf58
title: Occurrence Download

description: A dataset containing 1921941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila Brisson, 1760"
 ]
}

 The dataset includes 1921941 records from 1096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000268-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tne8rp
title: Occurrence Download

description: A dataset containing 217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((10.465794 51.818065, 10.619390 51.818065, 10.619390 51.893457, 10.465794 51.893457, 10.465794 51.818065))",
 {
 "or" : [
 "Month is February",
 "Month is March"
 ]
 }
 ]
}

 The dataset includes 217 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027457-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k6ghma
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelusios marani"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027458-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7jbp3
title: Occurrence Download

description: A dataset containing 94 records in GBIF matching the query:
SELECT DISTINCT
 latestageorhigheststage.concept latestageorhigheststage,
 CONCAT_WS(' -&gt; ', latestageorhigheststage.lineage) lineage
FROM
 occurrence

 The dataset's 94 records were derived from 89014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027433-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13237006
title: Operational Forecasts of Water Levels for the Guaíba River: May 2024 Event / Previsões Operacionais dos Níveis de Água para o Rio Guaíba: Evento de Maio de 2024

description: Description

This dataset comprises the operational forecasts of water levels for the Guaíba River during the extreme flood event of May 2024. These forecasts were generated by the Instituto de Pesquisas Hidráulicas of the Universidade Federal do Rio Grande do Sul (IPH/UFRGS), using a combination of the MGB hydrological model and the HEC-RAS hydrodynamic model. The forecasts were made daily, incorporating meteorological predictions from global models and hydrological monitoring data.

The dataset serves as a resource for research and analysis in the field of hydrological forecasting and flood risk management.

For more details, contact Matheus Sampaio at matheussampaiomedeiros@gmail.com.

Descrição

Este conjunto de dados compreende as previsões operacionais dos níveis de água para o rio Guaíba durante o evento extremo de inundação ocorrido em maio de 2024. Essas previsões foram geradas pelo Instituto de Pesquisas Hidráulicas da Universidade Federal do Rio Grande do Sul (IPH/UFRGS), utilizando uma combinação do modelo hidrológico MGB e do modelo hidrodinâmico HEC-RAS. As previsões foram realizadas diariamente, incorporando previsões meteorológicas de modelos globais e dados de monitoramento hidrológico.

O conjunto de dados serve como um recurso para pesquisas e análises no campo da previsão hidrológica e gestão de riscos de inundação.

Para obter mais detalhes, entre em contato com Matheus Sampaio em matheussampaiomedeiros@gmail.com.
DOI: 10.5281/zenodo.13237005
title: Operational Forecasts of Water Levels for the Guaíba River: May 2024 Event / Previsões Operacionais dos Níveis de Água para o Rio Guaíba: Evento de Maio de 2024

description: Description

This dataset comprises the operational forecasts of water levels for the Guaíba River during the extreme flood event of May 2024. These forecasts were generated by the Instituto de Pesquisas Hidráulicas of the Universidade Federal do Rio Grande do Sul (IPH/UFRGS), using a combination of the MGB hydrological model and the HEC-RAS hydrodynamic model. The forecasts were made daily, incorporating meteorological predictions from global models and hydrological monitoring data.

The dataset serves as a resource for research and analysis in the field of hydrological forecasting and flood risk management.

For more details, contact Matheus Sampaio at matheussampaiomedeiros@gmail.com.

Descrição

Este conjunto de dados compreende as previsões operacionais dos níveis de água para o rio Guaíba durante o evento extremo de inundação ocorrido em maio de 2024. Essas previsões foram geradas pelo Instituto de Pesquisas Hidráulicas da Universidade Federal do Rio Grande do Sul (IPH/UFRGS), utilizando uma combinação do modelo hidrológico MGB e do modelo hidrodinâmico HEC-RAS. As previsões foram realizadas diariamente, incorporando previsões meteorológicas de modelos globais e dados de monitoramento hidrológico.

O conjunto de dados serve como um recurso para pesquisas e análises no campo da previsão hidrológica e gestão de riscos de inundação.

Para obter mais detalhes, entre em contato com Matheus Sampaio em matheussampaiomedeiros@gmail.com.
DOI: 10.5281/zenodo.18185622
title: Dataset of complete mitochondrial genomes from 66 Celaenorrhinus species

description: Dataset of complete mitochondrial genomes from 66 Celaenorrhinus species.
DOI: 10.5281/zenodo.18185623
title: Dataset of complete mitochondrial genomes from 66 Celaenorrhinus species

description: Dataset of complete mitochondrial genomes from 66 Celaenorrhinus species.
DOI: 10.15468/dl.sgkw92
title: Occurrence Download

description: A dataset containing 2579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Physalis viscosa"
 ]
}

 The dataset includes 2579 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027459-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uxacd
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyperolius mitchelli Loveridge, 1953"
 ]
}

 The dataset includes 359 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117478-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18662260
title: Formation of the long-lived parent anion upon electron attachment to menadione

description: This data file contains the associated data for the article "Formation of the long-lived parent anion upon electron attachment to menadione" by Farhad Izadi, Andrzej Pelc, João Ameixa, Fábris Kossoski, and Stephan Denifl, accepted for publication in J. Phys. Chem A on 17.02.2026.
DOI: 10.5281/zenodo.18662261
title: Formation of the long-lived parent anion upon electron attachment to menadione

description: This data file contains the associated data for the article "Formation of the long-lived parent anion upon electron attachment to menadione" by Farhad Izadi, Andrzej Pelc, João Ameixa, Fábris Kossoski, and Stephan Denifl, accepted for publication in J. Phys. Chem A on 17.02.2026.
DOI: 10.15468/dl.8tcgf6
title: Occurrence Download

description: A dataset containing 297 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Armigeres kesseli"
 ]
}

 The dataset includes 297 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027460-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18671705
title: #2025GL120104_GPR

description: This is further details of the radar processing for paper #2025GL120104, including:



Transect locations

Transect metadata

Equipm,ent specifications

Sampling strategy

Postprocessing steps

Raw data


Please consult the "Read Me" file for further information.
DOI: 10.5281/zenodo.18671706
title: #2025GL120104_GPR

description: This is further details of the radar processing for paper #2025GL120104, including:



Transect locations

Transect metadata

Equipm,ent specifications

Sampling strategy

Postprocessing steps

Raw data


Please consult the "Read Me" file for further information.
DOI: 10.15468/dl.jabku8
title: Occurrence Download

description: A dataset containing 4267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma rosaceum"
 ]
}

 The dataset includes 4267 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027463-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18474714
title: Hydrological monitoring dataset of the roadside Biofilter in Compans, France

description: This dataset corresponds to the monitoring, at small time step, and over more than one years of the the different hydrological fluxes and water stocks in an experiemental bioretention swale situated along a heavy traffic road in Compans - Paris area - France.

The data was collected under the frame of the Roulépur (https://enpc.hal.science/hal-05298195v1) and OPUR (https://www.leesu.fr/opur/) research programs, with the support of Département de Seine et Marne, Agence de l'Eau Seine Normandie and Office Français de la Biodiversité.

Detailed description of the site, monitoring setup and data files are given in the metadata file. Further details can be found in the PhD of Tala Kanso (https://www.theses.fr/2021PESC1100)
DOI: 10.5281/zenodo.18474713
title: Hydrological monitoring dataset of the roadside Biofilter in Compans, France

description: This dataset corresponds to the monitoring, at small time step, and over more than one years of the the different hydrological fluxes and water stocks in an experiemental bioretention swale situated along a heavy traffic road in Compans - Paris area - France.

The data was collected under the frame of the Roulépur (https://enpc.hal.science/hal-05298195v1) and OPUR (https://www.leesu.fr/opur/) research programs, with the support of Département de Seine et Marne, Agence de l'Eau Seine Normandie and Office Français de la Biodiversité.

Detailed description of the site, monitoring setup and data files are given in the metadata file. Further details can be found in the PhD of Tala Kanso (https://www.theses.fr/2021PESC1100)
DOI: 10.3886/e245999
title: Benue State University {BSU} 2026/27 Direct Entry Form/JUPEB Form Is Out Now Call (07073028206)

description: Benue State University {BSU} 2026/27 Direct Entry Form/JUPEB Form Is Out Now Call (07073028206), TO APPLY CALL THE OFFICE OF THE REGISTRAR (07073028206) FOR FURTHER INFORMATION ON HOW TO MAKE YOUR PROPER REGISTRATION BEFORE THE CLOSING DATE.
DOI: 10.15468/dl.fx7upp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Imperata cylindrica",
 "HasCoordinate is true",
 "Country is United States of America",
 "Year is greater than or equal to 2021"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027464-260208012135463/datasets/export for details.
DOI: 10.15468/dl.8kbzup
title: Occurrence Download

description: A dataset containing 11747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Crepis vesicaria",
 "Continent is Europe",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 100",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Material citation"
 ]
 }
 }
 ]
}

 The dataset includes 11747 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027465-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kqzhb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Imperata cylindrica",
 "HasCoordinate is true",
 "Country is United States of America",
 "Year is greater than or equal to 2010"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027467-260208012135463/datasets/export for details.
DOI: 10.15468/dl.j8pekb
title: Occurrence Download

description: A dataset containing 78849 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.countrycode = 'IM'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 78849 records were derived from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027425-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18682543
title: Supplorting files for genomic benchmarking of Oxford Nanopore HAC and SUP basecalling in Salmonella Typhi

description: This repository contains processed data tables and analysis scripts supporting a benchmarking study evaluating mechanically sheared DNA and Oxford Nanopore Technologies (ONT) basecalling modes (HAC and SUP) for Salmonella enterica serovar Typhi genomic surveillance.

The archive includes:





R scripts used to generate all main and supplementary figures




QUAST structural summary tables for 6-plex and 24-plex runs




SNIPPY-derived pairwise SNV distance matrices and SNP occurrence summaries




cgMLST allele matrices and allele distance calculations




MUMmer whole-genome alignment summaries comparing hybrid assemblies across runs


newick.txt file for technical SNV-Maximum Likelihood tree developed in iTOL 


The files provided here are intended as supporting materials ensure transparency and reproducibility of the analyses reported in the manuscript.
DOI: 10.5281/zenodo.18198402
title: Supplorting files for genomic benchmarking of Oxford Nanopore HAC and SUP basecalling in Salmonella Typhi

description: This repository contains processed data tables and analysis scripts supporting a benchmarking study evaluating mechanically sheared DNA and Oxford Nanopore Technologies (ONT) basecalling modes (HAC and SUP) for Salmonella enterica serovar Typhi genomic surveillance.

The archive includes:





R scripts used to generate all main and supplementary figures




QUAST structural summary tables for 6-plex and 24-plex runs




SNIPPY-derived pairwise SNV distance matrices and SNP occurrence summaries




cgMLST allele matrices and allele distance calculations




MUMmer whole-genome alignment summaries comparing hybrid assemblies across runs


newick.txt file for technical SNV-Maximum Likelihood tree developed in iTOL 


The files provided here are intended as supporting materials ensure transparency and reproducibility of the analyses reported in the manuscript.