cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25824/redu/vvwofy
title: Dados clínicos e antropométricos pré e pós-intervenção em indivíduos com sobrepeso/obesidade

description: Titulo : Dados Clínicos e antropométricos Pré e Pós-Intervenção em Indivíduos com Sobrepeso/Obesidade A presente planilha refere-se a um banco de dados gerado a partir de um estudo clínico envolvendo pacientes com sobrepeso e obesidade, no qual foram coletadas informações em dois momentos distintos: Etapa 1 (tempo zero) e Etapa 3 (após intervenção, com 60 dias de seguimento). Etapa 1 – Coleta Basal: Nesta fase inicial, foram obtidas as seguintes variáveis: • Dados sociodemográficos: o Sexo o Idade (anos) o Escolaridade • Dados antropométricos e de composição corporal: o Peso (kg) o Altura (cm) o IMC (kg/m²) o Circunferência da cintura (cm) o Circunferência do quadril (cm) o Relação cintura/quadril o Gordura visceral estimada (kg) • Parâmetros bioquímicos: o Glicemia de jejum (mg/dL) o Hemoglobina glicada (HbA1c) (%) o Perfil lipídico: colesterol total, HDL, LDL, triglicerídeos (mg/dL) o Ácido úrico (mg/dL) o TGO e TGP (U/L) Intervenção: Todos os participantes foram submetidos a um protocolo de intervenção dietética individualizada, elaborado com base na taxa metabólica basal estimada. Um subgrupo optou pelo uso de sibutramina como adjuvante farmacológico. A intervenção dietética foi aplicada a todos os participantes, independentemente do uso de medicação. Etapa 3 – Pós-intervenção (60 dias): Nesta fase, foram novamente coletados os mesmos dados antropométricos, e bioquímicos possibilitando a comparação pré e pós-intervenção. Observações sobre a planilha: • Participantes que desistiram do estudo após a Etapa 1 têm suas células da Etapa 3 preenchidas com a palavra "desistente", evitando campos em branco. • As colunas da planilha estão organizadas conforme o tempo da coleta e o tipo de variável • Todos os dados foram anonimizados, respeitando os critérios éticos de sigilo e confidencialidade.
DOI: 10.3535/qc8-a5s-kym
title: Begonia comorensis Warb.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.17632/5snww42rms
title: SWCNT_Hyd

description: This dataset includes computational results supporting the study of the interaction between Hydralazine on pristine and functionalized SWCNTs. The data highlight the geometry optimization, chemical reactivity, thermodynamic stability, and electronic properties of the adsorption process. Key results are obtained using AIM2000, Gaussian 09, and natural bond orbital (NBO) analyses.
DOI: 10.15468/dl.2ncwmr
title: Occurrence Download

description: A dataset containing 1001035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-05-21",
 "EventDate is less than or equal to 2025-06-20",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 1001035 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025190-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5snww42rms.1
title: SWCNT_Hyd

description: This dataset includes computational results supporting the study of the interaction between Hydralazine on pristine and functionalized SWCNTs. The data highlight the geometry optimization, chemical reactivity, thermodynamic stability, and electronic properties of the adsorption process. Key results are obtained using AIM2000, Gaussian 09, and natural bond orbital (NBO) analyses.
DOI: 10.17632/t87ns2sxyj
title: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”

description: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”
DOI: 10.17632/t87ns2sxyj.2
title: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”

description: Replication Codes to “Can Monetary Policy Tame Asset Price Fluctuations? Evaluating the Dynamic Trade-offs”
DOI: 10.15468/dl.3phket
title: Occurrence Download

description: A dataset containing 15950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fringilla moreletti)",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Material citation)"
 ]
 }
 },
 "Year is greater than or equal to 2019",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "Geometry POLYGON ((-31.5 40, -24.5 40, -24.5 36.5, -31.5 36.5, -31.5 40))"
 ]
}

 The dataset includes 15950 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025218-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2p6rn
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dalea alopecuroides, Dalea alopecuroides, Dalea alopecuroides)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025219-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b4nrw5hyyc
title: MangoDHDS: A Dataset of Diseased and Healthy Mangoes of 1.5 K Images

description: The Mango Diseased Healthy Dataset, named as MangoDHDS, is created by combining diseased and healthy mango fruit samples from various sources. This is labelled image dataset intended for training machine learning models to detect diseases in mango fruits. Dataset containing images of 256*256 in JPG format. Dataset comprises four diseases namely Anthracnose, Bacterial Canker, Scab, and Stem End Rot. An additional category in the dataset is healthy fruits. It contains total 1500 images of 5 categories including 300 images each. Diseased and healthy mango images are captured from various sources, such as research centers, ripening chambers, agricultural farms, and Jain Farm Fresh Foods Limited, Jalgaon, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, and Kanhere Agro Products, Dapoli (India). Mangoes are a seasonal fruit; therefore, all images were taken between April and July from 2021 to 2023. All images are captured using smart phone camera with white background. Data was collected under the guidance of experts in agriculture, consulting plant pathology and research departments. MangoDHDS includes both preharvest and postharvest diseases. The dataset is useful for developing automated systems for tasks like disease detection through image analysis, classification using real world fruit images, fruit disease diagnosis applications, smart farming, recommendations according to diseases, calculating disease severity.
DOI: 10.17632/b4nrw5hyyc.1
title: MangoDHDS: A Dataset of Diseased and Healthy Mangoes of 1.5 K Images

description: The Mango Diseased Healthy Dataset, named as MangoDHDS, is created by combining diseased and healthy mango fruit samples from various sources. This is labelled image dataset intended for training machine learning models to detect diseases in mango fruits. Dataset containing images of 256*256 in JPG format. Dataset comprises four diseases namely Anthracnose, Bacterial Canker, Scab, and Stem End Rot. An additional category in the dataset is healthy fruits. It contains total 1500 images of 5 categories including 300 images each. Diseased and healthy mango images are captured from various sources, such as research centers, ripening chambers, agricultural farms, and Jain Farm Fresh Foods Limited, Jalgaon, Dr. Balasaheb Sawant Konkan Krishi Vidyapeeth, Dapoli, and Kanhere Agro Products, Dapoli (India). Mangoes are a seasonal fruit; therefore, all images were taken between April and July from 2021 to 2023. All images are captured using smart phone camera with white background. Data was collected under the guidance of experts in agriculture, consulting plant pathology and research departments. MangoDHDS includes both preharvest and postharvest diseases. The dataset is useful for developing automated systems for tasks like disease detection through image analysis, classification using real world fruit images, fruit disease diagnosis applications, smart farming, recommendations according to diseases, calculating disease severity.
DOI: 10.15468/dl.2p36x7
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025220-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdpj6p
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mirabilis jalapa",
 "Country is Kenya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 138 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025221-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tx6sk6fb23
title: Mercury isotope constraints on leucogranites and pegmatites sources and evolution in Himalaya area, Tibetan Plateau

description: The dataset includes whole-rock major and trace element composition of Miocene leucogranites and pegmatites in the Himalayan , Tibetan Plateau in Table S1, Hg concentration and isotopic compositions of Miocene leucogranites and pegmatites in the Himalayan , Tibetan Plateau in Table S2
DOI: 10.17632/tx6sk6fb23.1
title: Mercury isotope constraints on leucogranites and pegmatites sources and evolution in Himalaya area, Tibetan Plateau

description: The dataset includes whole-rock major and trace element composition of Miocene leucogranites and pegmatites in the Himalayan , Tibetan Plateau in Table S1, Hg concentration and isotopic compositions of Miocene leucogranites and pegmatites in the Himalayan , Tibetan Plateau in Table S2
DOI: 10.17632/87cwzd56kh
title: Tumour Immune Microenvironment Delineates Progression Trajectories of Distinct Nasopharyngeal Carcinoma Phenotypes

description: Data files for Yeo et al., Cell Reports Medicine 2025:
 1. PLINK .bed, .bim, .fam files containing genotype data of germline SNPs of all patients
 2. MAF file listing somatic mutations detected in all patients
 3. TSV file with raw gene expression counts of all patients
 4. TSV file with gene expression TPM of all patients
Clinical annotation of NPC subtype is provided for each patient in all files using the format: PatientID_subtype
DOI: 10.17632/87cwzd56kh.2
title: Tumour Immune Microenvironment Delineates Progression Trajectories of Distinct Nasopharyngeal Carcinoma Phenotypes

description: Data files for Yeo et al., Cell Reports Medicine 2025:
 1. PLINK .bed, .bim, .fam files containing genotype data of germline SNPs of all patients
 2. MAF file listing somatic mutations detected in all patients
 3. TSV file with raw gene expression counts of all patients
 4. TSV file with gene expression TPM of all patients
Clinical annotation of NPC subtype is provided for each patient in all files using the format: PatientID_subtype
DOI: 10.17632/b3n7xvtrbn
title: Security Guards Image Dataset

description: Facial recognition plays a critical role in today’s security and surveillance systems, by enabling real-time identification, access control, and anomaly detection in constantly changing environments. But for these systems to perform effectively, there is a need for the availability of diverse and application-specific datasets. 
This dataset, titled the Security Guards Facial Image Dataset, presents a collection of 21,034 images distributed as five distinct security guards:
Security guard 1 - 3,934 images
Security guard 2 - 3,794 images
Security guard 3 - 2,475 images
Security guard 4 - 5,731 images
Security guard 5 - 5,100 images

Devices Used:
Oppo A55 (Android) - 50 MP, f/1.8, 1/2.76" sensor size
iPhone 14 Pro Max (iOS) - 48 MP, f/1.78, 24mm (wide), 1/1.28" sensor size


Device Distribution:
iOS: 56.76% images
Android: 43.24% images

Recording Conditions:
Indoor (flash) and outdoor (natural light) environments
4 - 5 unique backgrounds
With and without headgear (cap)
No constraints on facial hair, expression

The dataset offers an organized collection of facial images of security guards, captured in real-world campus settings, to support meaningful research in intrusion detection, and AI-based monitoring. It presents a robust and practical resource for training and validating computer vision models in security applications.

This dataset supports both individual identity recognition and multi-class facial classification tasks. It is well-suited for training and evaluating deep learning models such as convolutional neural networks (CNNs). It allows researchers to enhance the performance and reliability of AI systems deployed in real-time surveillance and security scenarios.
DOI: 10.17632/b3n7xvtrbn.1
title: Security Guards Image Dataset

description: Facial recognition plays a critical role in today’s security and surveillance systems, by enabling real-time identification, access control, and anomaly detection in constantly changing environments. But for these systems to perform effectively, there is a need for the availability of diverse and application-specific datasets. 
This dataset, titled the Security Guards Facial Image Dataset, presents a collection of 21,034 images distributed as five distinct security guards:
Security guard 1 - 3,934 images
Security guard 2 - 3,794 images
Security guard 3 - 2,475 images
Security guard 4 - 5,731 images
Security guard 5 - 5,100 images

Devices Used:
Oppo A55 (Android) - 50 MP, f/1.8, 1/2.76" sensor size
iPhone 14 Pro Max (iOS) - 48 MP, f/1.78, 24mm (wide), 1/1.28" sensor size


Device Distribution:
iOS: 56.76% images
Android: 43.24% images

Recording Conditions:
Indoor (flash) and outdoor (natural light) environments
4 - 5 unique backgrounds
With and without headgear (cap)
No constraints on facial hair, expression

The dataset offers an organized collection of facial images of security guards, captured in real-world campus settings, to support meaningful research in intrusion detection, and AI-based monitoring. It presents a robust and practical resource for training and validating computer vision models in security applications.

This dataset supports both individual identity recognition and multi-class facial classification tasks. It is well-suited for training and evaluating deep learning models such as convolutional neural networks (CNNs). It allows researchers to enhance the performance and reliability of AI systems deployed in real-time surveillance and security scenarios.
DOI: 10.17632/c4c4gtx6md
title: Factors Associated with Adherence to Physical Activity among Students

description: Cross-sectional study with a sample of 456 students from Colombia, Mexico, Peru and the Dominican Republic. The IPAQ-SF questionnaire, the DASS-21 scale and a sociodemographic survey were applied.
DOI: 10.15468/dl.k2ry7y
title: Occurrence Download

description: A dataset containing 80700 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Standing Waters Database - Scotland"
 ]
}

 The dataset includes 80700 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025205-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/c4c4gtx6md.1
title: Factors Associated with Adherence to Physical Activity among Students

description: Cross-sectional study with a sample of 456 students from Colombia, Mexico, Peru and the Dominican Republic. The IPAQ-SF questionnaire, the DASS-21 scale and a sociodemographic survey were applied.
DOI: 10.17632/rbfshcnrs4
title: FACTORS CONTROLLING P AVAILABILITY AND FRACTIONATION IN DRYLANDS SOILS
DOI: 10.17632/rbfshcnrs4.1
title: FACTORS CONTROLLING P AVAILABILITY AND FRACTIONATION IN DRYLANDS SOILS
DOI: 10.17632/j2ghj9mszk.1
title: The Vulnerability of Innovation Networks: An Information-Based Risk Propagation Framework

description: This dataset is associated with the article "The Vulnerability of Innovation Networks: An Information-Based Risk Propagation Framework".
DOI: 10.15468/dl.yzermu
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025222-250711103210423/datasets/export for details.
DOI: 10.15468/dl.4vv927
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AEB1215"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025223-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fhxtwkmtm2
title: List

description: спрямоване на вивчення досвіду використання цифрових інструментів у процесі вивчення німецької мови серед мігрантів, які відвідують інтеграційні курси в Німеччині. Метою дослідження стало не лише виявлення дидактичної ефективності цифрових ресурсів, а й аналіз їхнього впливу на мотивацію, адаптацію та соціалізацію студентів у межах мовних курсів.
У межах дослідження було проведено напівструктуровані глибинні інтерв’ю з 12 респондентами різного віку, статі, рівня освіти та цифрової грамотності, що проходили інтеграційні курси німецької мови в Берліні. Отримані результати дозволили виокремити як позитивні аспекти впровадження цифрових інструментів, так і ключові труднощі, з якими стикаються слухачі в умовах мультикультурної, вікової та соціальної різнорідності аудиторії.
DOI: 10.15468/dl.znjdc6
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physaria fremontii"
 ]
}

 The dataset includes 41 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025224-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fhxtwkmtm2.1
title: List

description: спрямоване на вивчення досвіду використання цифрових інструментів у процесі вивчення німецької мови серед мігрантів, які відвідують інтеграційні курси в Німеччині. Метою дослідження стало не лише виявлення дидактичної ефективності цифрових ресурсів, а й аналіз їхнього впливу на мотивацію, адаптацію та соціалізацію студентів у межах мовних курсів.
У межах дослідження було проведено напівструктуровані глибинні інтерв’ю з 12 респондентами різного віку, статі, рівня освіти та цифрової грамотності, що проходили інтеграційні курси німецької мови в Берліні. Отримані результати дозволили виокремити як позитивні аспекти впровадження цифрових інструментів, так і ключові труднощі, з якими стикаються слухачі в умовах мультикультурної, вікової та соціальної різнорідності аудиторії.
DOI: 10.17632/3dtkmss9xz.1
title: Complex opioid driven modulation of glutamatergic and cholinergic transmission in a GABAergic brain nucleus associated with emotion, reward and addiction

description: Analyses for data presented in Figures for the reviewed preprint (not revised) published in eLife Journal.
"Complex opioid driven modulation of glutamatergic and cholinergic transmission in a GABAergic brain nucleus associated with emotion, reward and addiction" 
(https://doi.org/10.7554/eLife.106062.1)
DOI: 10.17632/fs7c3hv4ph
title: Comparative Organellar Genomics of Four Jasminum Accessions Reveals Adaptive Divergence and Phylogenomic Conflicts in Oleaceae

description: Table S1. GenBank accession numbers of 100 species using in phylogenetic analysis
Table S2. Comparative Analysis of Chloroplast and Mitochondrial Genome Characteristics in Four Jasminum Species
Table S3. Gene composition of the chloroplast genome and the mitochondrial genome in Four Jasminum Species
Table S4. Positive selection on the chloroplast genome and mitochondrial genome 
Table S5. Relative synonymous codon usage in Jasminum organelles
Table S6. Microsatellite repeats (SSRs) in chloroplast genome
Table S7. Microsatellite repeats (SSRs) in mitochondrial genome
Table S8. Mitochondrial genomic RNA editing site analysis 
Table S9. Homologous sequence of mtDNA and cpDNA 
Fig. S1. Chloroplast genome structure of Jasminum sambac 'Grand Duke '
Fig. S2. Chloroplast genome structure of Jasminum multiflorum
Fig. S3. Chloroplast genome structure of Jasminum seguinii
Fig. S4. mitochondria genome structure of Jasminum sambac 'Grand Duke '
Fig. S5. mitochondria genome structure of Jasminum multiflorum 
Fig. S6. mitochondria genome structure of Jasminum seguinii
Fig. S7A. Results of jasmine chloroplast genome analysis using the mauve plugin 
Fig. S7B. Results of mvista analysis of the Jasminum chloroplast genome
DOI: 10.17632/fs7c3hv4ph.1
title: Comparative Organellar Genomics of Four Jasminum Accessions Reveals Adaptive Divergence and Phylogenomic Conflicts in Oleaceae

description: Table S1. GenBank accession numbers of 100 species using in phylogenetic analysis
Table S2. Comparative Analysis of Chloroplast and Mitochondrial Genome Characteristics in Four Jasminum Species
Table S3. Gene composition of the chloroplast genome and the mitochondrial genome in Four Jasminum Species
Table S4. Positive selection on the chloroplast genome and mitochondrial genome 
Table S5. Relative synonymous codon usage in Jasminum organelles
Table S6. Microsatellite repeats (SSRs) in chloroplast genome
Table S7. Microsatellite repeats (SSRs) in mitochondrial genome
Table S8. Mitochondrial genomic RNA editing site analysis 
Table S9. Homologous sequence of mtDNA and cpDNA 
Fig. S1. Chloroplast genome structure of Jasminum sambac 'Grand Duke '
Fig. S2. Chloroplast genome structure of Jasminum multiflorum
Fig. S3. Chloroplast genome structure of Jasminum seguinii
Fig. S4. mitochondria genome structure of Jasminum sambac 'Grand Duke '
Fig. S5. mitochondria genome structure of Jasminum multiflorum 
Fig. S6. mitochondria genome structure of Jasminum seguinii
Fig. S7A. Results of jasmine chloroplast genome analysis using the mauve plugin 
Fig. S7B. Results of mvista analysis of the Jasminum chloroplast genome
DOI: 10.17632/w4dpnr2tp5
title: LINF_200021600

description: tRNA (Uracil-5-)-methyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/w4dpnr2tp5.2
title: LINF_200021600

description: tRNA (Uracil-5-)-methyltransferase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wzs28h35wv.1
title: Data1

description: None