cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d4e7t8
title: Occurrence Download

description: A dataset containing 5045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "TaxonKey is Trichoptera",
 "Year 2015-2022"
 ]
}

 The dataset includes 5045 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228707-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.699bt9
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Uloma bonzica Marseul, 1876",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 81 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208510-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ba24gv
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abrocoma cinerea Thomas, 1919"
 ]
}

 The dataset's 1 records were derived from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253497-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7ym59
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((32.2991 -25.45177,32.21924 -26.17308,32.77773 -26.78562,33.07502 -26.14549,33.02715 -25.60111,32.2991 -25.45177))",
 "TaxonKey is Batis fratrum (Shelley, 1900)"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228794-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xdgn8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium scorodoprasum L.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203940-220831081235567/datasets/export for details.
DOI: 10.15468/dl.t4gbh2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pygophora confusa Stein, 1915",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208514-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjfhej
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is Literature Occurrence"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228710-220831081235567/datasets/export for details.
DOI: 10.15468/dl.c5pj24
title: Occurrence Download

description: A dataset containing 2344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Betula platyphylla Sukaczev"
 ]
}

 The dataset includes 2344 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285813-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sm8ax8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asphodelus fistulosus L.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203946-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm97z9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosopocoilus girafa (Olivier, 1789)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208521-220831081235567/datasets/export for details.
DOI: 10.15468/dl.v3ku8y
title: Occurrence Download

description: A dataset containing 213188 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Slovakia",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 213188 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228730-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3dwcj
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Iris rossii Baker",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0203947-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf6sa6
title: Occurrence Download

description: A dataset containing 61345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Toxostoma curvirostre (Swainson, 1827)"
 ]
}

 The dataset includes 61345 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285842-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7q6afr
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Albizia splendens Miq."
 ]
}

 The dataset includes 75 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0228758-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kp2wp5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liris difficilis Tsuneki, 1983",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208529-220831081235567/datasets/export for details.
DOI: 10.15468/dl.z3m4qx
title: Occurrence Download

description: A dataset containing 502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-106.85927 -15.00113,-33.8706 -15.00113,-33.8706 24.37595,-106.85927 24.37595,-106.85927 -15.00113))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Acrocomia aculeata (Jacq.) Lodd. ex R.Keith"
 ]
}

 The dataset includes 502 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0253488-220831081235567/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.29546273
title: <b>Pengaruh Kualitas Sistem terhadap Kepuasan Pengguna Aplikasi Website SEVIMA di Universitas Sebelas April Sumedang</b>

description: The rapid advancement of information and communication technology has significantly influenced various sectors, including education. SEVIMA is a web-based academic information system widely used in Indonesian universities, including Universitas Sebelas April Sumedang. This study evaluates the impact of system quality on user satisfaction by examining five usability aspects based on Nielsen's model: Efficiency, Learnability, Satisfaction, Errors, and Memorability. Using quantitative analysis with 63 student respondents, the results showed that only Learnability and Satisfaction had significant influence on usability. These findings suggest future system improvements should prioritize ease of learning and user satisfaction.
DOI: 10.6084/m9.figshare.29546273.v1
title: <b>Pengaruh Kualitas Sistem terhadap Kepuasan Pengguna Aplikasi Website SEVIMA di Universitas Sebelas April Sumedang</b>

description: The rapid advancement of information and communication technology has significantly influenced various sectors, including education. SEVIMA is a web-based academic information system widely used in Indonesian universities, including Universitas Sebelas April Sumedang. This study evaluates the impact of system quality on user satisfaction by examining five usability aspects based on Nielsen's model: Efficiency, Learnability, Satisfaction, Errors, and Memorability. Using quantitative analysis with 63 student respondents, the results showed that only Learnability and Satisfaction had significant influence on usability. These findings suggest future system improvements should prioritize ease of learning and user satisfaction.
DOI: 10.15468/dl.qt88be
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster novi-belgii",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 43 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000633-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60517/h128nh11s
title: Validation of the German Version of the Problematic Media Use Measure (PMUM-short form) and its relation to child and parental mental health
DOI: 10.6084/m9.figshare.29184891
title: Missing Value Imputation in Relational Data Using Variational Inference

description: In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable downstream tasks. However, most existing imputation methods overlook the rich information contained within the connectivity among nodes. This research is inspired by the premise that leveraging all available information should yield improved imputation, provided a sufficient association between attributes and edges. Consequently, we introduce a joint latent space model that produces a low-dimensional representation of the data and simultaneously captures the edge and node attribute information. This model relies on the pooling of information induced by shared latent variables, thus improving the prediction of node attributes and providing a more effective attribute imputation method. Our approach uses variational inference to approximate posterior distributions for these latent variables, resulting in predictive distributions for missing values. Through numerical experiments, conducted on both simulated data and real-world networks, we demonstrate that our proposed method successfully harnesses the joint structure information and significantly improves the imputation of missing attributes, specifically when the observed information is weak. Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.29184891.v1
title: Missing Value Imputation in Relational Data using Variational Inference

description: In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable downstream tasks. However, most existing imputation methods overlook the rich information contained within the connectivity among nodes. This research is inspired by the premise that leveraging all available information should yield improved imputation, provided a sufficient association between attributes and edges. Consequently, we introduce a joint latent space model that produces a low-dimensional representation of the data and simultaneously captures the edge and node attribute information. This model relies on the pooling of information induced by shared latent variables, thus improving the prediction of node attributes and providing a more effective attribute imputation method. Our approach uses variational inference to approximate posterior distributions for these latent variables, resulting in predictive distributions for missing values. Through numerical experiments, conducted on both simulated data and real-world networks, we demonstrate that our proposed method successfully harnesses the joint structure information and significantly improves the imputation of missing attributes, specifically when the observed information is weak. Additional results, implementation details, a Python implementation, and the code reproducing the results are available online.
DOI: 10.6084/m9.figshare.29184891.v2
title: Missing Value Imputation in Relational Data Using Variational Inference

description: In real-world networks, node attributes are often only partially observed, necessitating imputation to support analysis or enable downstream tasks. However, most existing imputation methods overlook the rich information contained within the connectivity among nodes. This research is inspired by the premise that leveraging all available information should yield improved imputation, provided a sufficient association between attributes and edges. Consequently, we introduce a joint latent space model that produces a low-dimensional representation of the data and simultaneously captures the edge and node attribute information. This model relies on the pooling of information induced by shared latent variables, thus improving the prediction of node attributes and providing a more effective attribute imputation method. Our approach uses variational inference to approximate posterior distributions for these latent variables, resulting in predictive distributions for missing values. Through numerical experiments, conducted on both simulated data and real-world networks, we demonstrate that our proposed method successfully harnesses the joint structure information and significantly improves the imputation of missing attributes, specifically when the observed information is weak. Additional results, implementation details, a Python implementation, and the code reproducing the results are available online. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.15850766
title: Conjunto de Dados de parâmetros de mérito para validação de metodologia analítica visando a análise de Agrotóxicos em arroz por LC-MSMS
title: Dados de precisão instrumental, repetibilidade, precisão entre ensaios, resíduos e curva de calibração

description: As tabelas disponibilizadas reúnem os dados brutos e tratados obtidos a partir dos ensaios realizados durante a validação do método analítico desenvolvido para determinação de resíduos de agrotóxicos em arroz irrigado, por LC-MS/MS. Esses dados incluem os valores referentes a parâmetros de mérito como linearidade, limites de detecção (LOD), limites de quantificação (LOQ), precisão (repetibilidade e precisão) e recuperação (exatidão). Os resultados permitiram validar dois métodos para quantificação simultânea de até 28 compostos recomendados na rizicultura, em níveis abaixo dos Limites Máximos de Resíduos (LMR), estabelecidos pela ANVISA, dentro dos critérios estabelecidos pelas guias internacionais de validação.
DOI: 10.5281/zenodo.15850767
title: Conjunto de Dados de parâmetros de mérito para validação de metodologia analítica visando a análise de Agrotóxicos em arroz por LC-MSMS
title: Dados de precisão instrumental, repetibilidade, precisão entre ensaios, resíduos e curva de calibração

description: As tabelas disponibilizadas reúnem os dados brutos e tratados obtidos a partir dos ensaios realizados durante a validação do método analítico desenvolvido para determinação de resíduos de agrotóxicos em arroz irrigado, por LC-MS/MS. Esses dados incluem os valores referentes a parâmetros de mérito como linearidade, limites de detecção (LOD), limites de quantificação (LOQ), precisão (repetibilidade e precisão) e recuperação (exatidão). Os resultados permitiram validar dois métodos para quantificação simultânea de até 28 compostos recomendados na rizicultura, em níveis abaixo dos Limites Máximos de Resíduos (LMR), estabelecidos pela ANVISA, dentro dos critérios estabelecidos pelas guias internacionais de validação.
DOI: 10.15468/dl.znkeve
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens frondosa",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 541 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000635-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15864387
title: Supporting Data: A global-scale prediction tool to model seagrass carbon stocks
DOI: 10.15468/dl.6bqvej
title: Occurrence Download

description: A dataset containing 14764248 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((144 -12,147 -12,147 -17,144 -17,144 -12))",
 "Year 2000-2025"
 ]
}

 The dataset includes 14764248 records from 2163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000620-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/py1o34
title: Sexual and Gender Minority (SGM) State Law Database

description: The Sexual and Gender Minority (SGM) State Law Database is a multiyear database of U.S. state laws related to sexual orientation and gender identity. Using policy surveillance methods, a multidisciplinary team of public health researchers and legal experts developed the database by coding the presence or absence of 30 relevant laws across 9 legal domains (relationship recognition, sexual orientation-related antidiscrimination, gender identity-related antidiscrimination, school settings, hate crimes, sodomy, family formation and parenting, HIV/AIDS, denial of services) for each U.S. state and D.C. in every year from 1996 through 2016.
DOI: 10.15468/dl.ga8tmt
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limnodrilus tortilipenis",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009037-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rpsw8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 316300.0-1000000.0",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tamandua Gray, 1825",
 "Year 2020-2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006912-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjemcb
title: Occurrence Download

description: A dataset containing 800922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2015-2025"
 ]
}

 The dataset includes 800922 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011489-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17505963
title: NatureFood_Data: Input-output and environmental datasets for the Nature Food study

description: This dataset includes the input–output tables and calculated environmental indicators.
DOI: 10.5281/zenodo.17505962
title: NatureFood_Data: Input-output and environmental datasets for the Nature Food study

description: This dataset includes the input–output tables and calculated environmental indicators.
DOI: 10.15468/dl.6psbzh
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna del Bosque de los Guayupes Acacias, Meta, Colombia"
 ]
}

 The dataset includes 30 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011506-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcdyx6
title: Occurrence Download

description: A dataset containing 14033 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Suriname",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14033 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011507-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwzfax
title: Occurrence Download

description: A dataset containing 1046953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi",
 "Year 1950-2025"
 ]
}

 The dataset includes 1046953 records from 884 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011505-251025141854904/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.30509921
title: Data PKM Menjelajah Nusantara

description: Data ini berupa data PKM menjelajah nusantara.
DOI: 10.6084/m9.figshare.30509921.v1
title: Data PKM Menjelajah Nusantara

description: Data ini berupa data PKM menjelajah nusantara.
DOI: 10.34740/kaggle/dsv/13585597
title: Global EV Charging Stations Dataset
DOI: 10.6084/m9.figshare.30509912
title: Raw data （ApoE Genotype-Specific Cognitive Benefits from Fasting-Induced Shifts in Energy Metabolic in Alzheimer’s disease）

description: Our findings underscore the neuroprotective potential of TRF in AD, particularly for ApoE4 non-carriers, and highlight the promise of non-pharmacological nutritional interventions in preventing or delaying AD progression.