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

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cypripedium flavum",
 "Year 1970-2000"
 ]
}

 The dataset includes 52 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069319-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/29844
title: Chandra X-ray Observatory ObsId 29844

description: A Proper Motion Test for Two Pulsar Filaments
DOI: 10.25574/29845
title: Chandra X-ray Observatory ObsId 29845

description: A Proper Motion Test for Two Pulsar Filaments
DOI: 10.5281/zenodo.18097555
title: Search Strategy for "Measurement Properties of Supplement Intake PROMs in Athletes: A Systematic Review based on COSMIN guidelines."
DOI: 10.5281/zenodo.18097556
title: Search Strategy for "Measurement Properties of Supplement Intake PROMs in Athletes: A Systematic Review based on COSMIN guidelines."
DOI: 10.5281/zenodo.17884130
title: Conjunto de notas de leitura de processos relativos à ação de "Construção do Edifício da Caixa Geral de Depósitos (CGD), Murtosa (1948-1954)"

description: Conjunto de notas de leitura de processos relativos à ação de "Construção do Edifício da Caixa Geral de Depósitos (CGD), Murtosa (1948-1954)" existentes no arquivo do Património Cultural, I.P., Arquivos e Coleções Documentais da Ex-DGEMN.

Registos efetuados em março de 2024 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/pt/atividades/acoes/32621/construcao-do-edificio-da-caixa-geral-de-depositos-cgd-murtosa-1948-1954.

Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.5281/zenodo.17884131
title: Conjunto de notas de leitura de processos relativos à ação de "Construção do Edifício da Caixa Geral de Depósitos (CGD), Murtosa (1948-1954)"

description: Conjunto de notas de leitura de processos relativos à ação de "Construção do Edifício da Caixa Geral de Depósitos (CGD), Murtosa (1948-1954)" existentes no arquivo do Património Cultural, I.P., Arquivos e Coleções Documentais da Ex-DGEMN.

Registos efetuados em março de 2024 no âmbito do projeto de investigação ReARQ.IB – Built Environment Knowledge for Resilient, Sustainable Communities: Understanding Everyday Modern Architecture and Urban Design in the Iberian Peninsula (1939-1985) (ERC GA949686) e publicado online em https://arquitecturaaqui.eu/pt/atividades/acoes/32621/construcao-do-edificio-da-caixa-geral-de-depositos-cgd-murtosa-1948-1954.

Dados exportados da plataforma Arquitectura Aqui (https://arquitecturaaqui.eu), repositório do referido projeto, em dezembro de 2025.
DOI: 10.25574/30729
title: Chandra X-ray Observatory ObsId 30729

description: Proper Motions for Gamma-Ray Pulsars
DOI: 10.5517/ccdc.csd.cc2jkvqp
title: CCDC 2340863: Experimental Crystal Structure Determination

description: Related Article: Sanehiro Muromachi, Satoshi Takeya|2024|CSD Communication|||
description: Related Article: Sanehiro Muromachi, Satoshi Takeya|2024|Sci. Adv.|10|eadp4384|doi:10.1126/sciadv.adp4384
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2lc4y2
title: CCDC 2394004: Experimental Crystal Structure Determination

description: Related Article: Yujiao Hou, Yanhua Sun, Shixing Zhang, Peilin Han, Hao Li, Xiaojing Wang, Hongyan Chen, Yifan Cheng|2025|J.Mol.Struct.|1328|141358|doi:10.1016/j.molstruc.2025.141358
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.kbsukh
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 {
 "and" : [
 "Country is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 "HasGeospatialIssue is false"
 ]
 },
 "Geometry POLYGON((-74 -60, -25 -60, -25 -90, -74 -90, -74 -60))"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Polystictus pectoralis [GBIF Backbone Taxonomy])",
 "Geometry POLYGON((-63.1466958694606 -38.453052731949526,-63.1466958694606 -38.82000646707999,-61.8773496535851 -38.82000646707999,-61.8773496535851 -38.453052731949526,-63.1466958694606 -38.453052731949526))"
 ]
 }
 ]
}

 The dataset includes 41 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069324-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzwsxd
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dactylorhiza viridis",
 "Year 1970-2000"
 ]
}

 The dataset includes 138 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069325-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/cdc.524
title: Chandra X-ray Observatory Chandra Data Collection for request #524

description: Chandra Data Collection for request #524
DOI: 10.5281/zenodo.18097721
title: COSMIN Data Extraction and Management Sheet for "Measurement Properties of Supplement Intake PROMs in Athletes: A Systematic Review based on COSMIN guidelines."
DOI: 10.5281/zenodo.18097720
title: COSMIN Data Extraction and Management Sheet for "Measurement Properties of Supplement Intake PROMs in Athletes: A Systematic Review based on COSMIN guidelines."
DOI: 10.6084/m9.figshare.30971920
title: Survey data set for study on a intergenerational and interprofessional service-learning project using Bingocize

description: This study describes and evaluates <i>Bingocize®</i>, an interprofessional service-learning initiative jointly implemented by students in exercise science (EXS) and speech-language pathology (SLP) at adult community centers. The project aligned with discipline-specific learning outcomes while providing wellness, mobility, and social engagement benefits for older adult participants. An exploratory, cross-sectional, mixed methods survey design was used to examine how participation in the I-IPSL experience influenced students’ professional learning, perceptions of IPE, community engagement, career interests, and attitudes toward working with older adults. Survey responses from 43 students were analyzed using descriptive quantitative methods, and open-ended responses were examined using qualitative thematic analysis. Findings indicated an overall positive impact on students’ perceived knowledge and skills as future practitioners, increased awareness of community needs, and enhanced appreciation for interprofessional collaboration. Results may inform future educational and research efforts incorporating I-IPSL within allied health professional programs.
DOI: 10.6084/m9.figshare.30971920.v1
title: Survey data set for study on a intergenerational and interprofessional service-learning project using Bingocize

description: This study describes and evaluates <i>Bingocize®</i>, an interprofessional service-learning initiative jointly implemented by students in exercise science (EXS) and speech-language pathology (SLP) at adult community centers. The project aligned with discipline-specific learning outcomes while providing wellness, mobility, and social engagement benefits for older adult participants. An exploratory, cross-sectional, mixed methods survey design was used to examine how participation in the I-IPSL experience influenced students’ professional learning, perceptions of IPE, community engagement, career interests, and attitudes toward working with older adults. Survey responses from 43 students were analyzed using descriptive quantitative methods, and open-ended responses were examined using qualitative thematic analysis. Findings indicated an overall positive impact on students’ perceived knowledge and skills as future practitioners, increased awareness of community needs, and enhanced appreciation for interprofessional collaboration. Results may inform future educational and research efforts incorporating I-IPSL within allied health professional programs.
DOI: 10.25345/c5862br38
title: MassIVE MSV000100358 - GNPS-Annona jahnii_endophytic fungi
title: Study of the biosynthetic potential of the endophytic fungi to produce same or similar metabolites present in host plants.
DOI: 10.15468/dl.8evk3f
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrobium aphyllum",
 "Year 1000-2000"
 ]
}

 The dataset includes 50 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069326-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15581.47843
title: Beaver tree-mark
DOI: 10.15468/dl.xqgcgh
title: Occurrence Download

description: A dataset containing 19234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "GbifRegion is North America",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "StateProvince is Ontario",
 "TaxonKey is one of (Plethodon cinereus, Ambystoma laterale, Ambystoma maculatum, Hemidactylium scutatum, Notophthalmus viridescens)"
 ]
}

 The dataset includes 19234 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069327-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17298262
title: Lista completa de los registros de peces encontrados en los libros de colección y archivos de ingreso de material en la colección ictiológica del Museo de La  Plata.

description: Lista completa de los registros de peces encontrados en los libros de colección y archivos de ingreso de material en la colección ictiológica del Museo de La Plata.
DOI: 10.5281/zenodo.17298263
title: Lista completa de los registros de peces encontrados en los libros de colección y archivos de ingreso de material en la colección ictiológica del Museo de La  Plata.

description: Lista completa de los registros de peces encontrados en los libros de colección y archivos de ingreso de material en la colección ictiológica del Museo de La Plata.
DOI: 10.25574/cdc.506
title: Chandra X-ray Observatory Chandra Data Collection for request #506

description: Chandra Data Collection for request #506
description: DOI updated to include the publication's DOI on 2025-12-30-11:00:00
DOI: 10.15468/dl.dyfawb
title: Occurrence Download

description: A dataset containing 41513 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morus alba"
 ]
}

 The dataset includes 41513 records from 959 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050720-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2bsc4
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tritia corniculum",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 206 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050723-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17272845
title: Dataset related to article "Discriminating Inflammation from Malignancy with Short-Dynamic Patlak Parametric 18F-FDG PET/CT"

description: Abstract



Aim/Introduction Differentiating malignant from inflammatory uptake on 18F-FDG PET/CT remains a major diagnostic challenge, as standardized uptake value (SUV) lacks specificity. Dynamic acquisitions with Patlak analysis can separate metabolized from unmetabolized tracer, potentially improving discrimination. We evaluated whether short-duration dynamic FDG PET/CT with Patlak parametric imaging provides complementary information beyond SUV for distinguishing malignancy from inflammation.




Materials and Methods Twenty-seven patients undergoing oncologic PET/CT (breast, lung, or gastrointestinal cancer) were included, yielding 96 lesions (69 malignant, 27 inflammatory). Short dynamic acquisitions (20 min) were motion-corrected and analysed to generate influx rate (Ki) and distribution volume (Vd) maps. Lesions were segmented on SUV images (40% SUVmax), and radiomic features were extracted from SUV, Ki, and Vd maps. Exploratory data analysis, linear modelling, and dimensionality reduction assessed separability. A Random Forest classifier was trained with crossvalidation, integrating Synthetic Minority Oversampling (SMOTE) to address class imbalance. An independent validation cohort of 15 lesions (13 inflammatory, 2 malignant) was tested.




Results Malignant lesions showed higher SUVmean (5.8 vs. 2.8 g/ml) and Ki (1.95 vs. 0.75 ml/min/100ml), whereas inflammatory lesions demonstrated higher Vd (44.7 vs. 35.1%). No single feature provided reliable thresholds. Logistic regression achieved 89% accuracy but suffered from quasi-separation, confirming limited linear discriminability. Random Forest classification yielded robust performance (cross-validated AUC-ROC 0.876; AUC-PR 0.948). With G-mean thresholding, inflammation was detected with high recall (0.93) but recall for malignancy was lower (0.74). Feature importance highlighted SUV and Ki variance, as well as Ki/ Vd ratios, as strongest predictors. In the external validation set, accuracy reached 0.80, with inflammation reliably identified (precision 0.85, recall 0.85).




Conclusion Short dynamic Patlak imaging combined with machine learning improves the characterization of malignant versus inflammatory uptake beyond SUV alone. By decomposing FDG up-take into metabolized (Ki) and unmetabolized (Vd) fractions, this approach provides physiologically meaningful separation of tracer behaviour. While sensitivity for malignancy requires further optimization, our findings establish a reproducible framework for future more extensive research on clinical interpretation of parametric imaging in oncologic PET.
DOI: 10.5281/zenodo.17272846
title: Dataset related to article "Discriminating Inflammation from Malignancy with Short-Dynamic Patlak Parametric 18F-FDG PET/CT"

description: Abstract



Aim/Introduction Differentiating malignant from inflammatory uptake on 18F-FDG PET/CT remains a major diagnostic challenge, as standardized uptake value (SUV) lacks specificity. Dynamic acquisitions with Patlak analysis can separate metabolized from unmetabolized tracer, potentially improving discrimination. We evaluated whether short-duration dynamic FDG PET/CT with Patlak parametric imaging provides complementary information beyond SUV for distinguishing malignancy from inflammation.




Materials and Methods Twenty-seven patients undergoing oncologic PET/CT (breast, lung, or gastrointestinal cancer) were included, yielding 96 lesions (69 malignant, 27 inflammatory). Short dynamic acquisitions (20 min) were motion-corrected and analysed to generate influx rate (Ki) and distribution volume (Vd) maps. Lesions were segmented on SUV images (40% SUVmax), and radiomic features were extracted from SUV, Ki, and Vd maps. Exploratory data analysis, linear modelling, and dimensionality reduction assessed separability. A Random Forest classifier was trained with crossvalidation, integrating Synthetic Minority Oversampling (SMOTE) to address class imbalance. An independent validation cohort of 15 lesions (13 inflammatory, 2 malignant) was tested.




Results Malignant lesions showed higher SUVmean (5.8 vs. 2.8 g/ml) and Ki (1.95 vs. 0.75 ml/min/100ml), whereas inflammatory lesions demonstrated higher Vd (44.7 vs. 35.1%). No single feature provided reliable thresholds. Logistic regression achieved 89% accuracy but suffered from quasi-separation, confirming limited linear discriminability. Random Forest classification yielded robust performance (cross-validated AUC-ROC 0.876; AUC-PR 0.948). With G-mean thresholding, inflammation was detected with high recall (0.93) but recall for malignancy was lower (0.74). Feature importance highlighted SUV and Ki variance, as well as Ki/ Vd ratios, as strongest predictors. In the external validation set, accuracy reached 0.80, with inflammation reliably identified (precision 0.85, recall 0.85).




Conclusion Short dynamic Patlak imaging combined with machine learning improves the characterization of malignant versus inflammatory uptake beyond SUV alone. By decomposing FDG up-take into metabolized (Ki) and unmetabolized (Vd) fractions, this approach provides physiologically meaningful separation of tracer behaviour. While sensitivity for malignancy requires further optimization, our findings establish a reproducible framework for future more extensive research on clinical interpretation of parametric imaging in oncologic PET.
DOI: 10.15468/dl.ukstxh
title: Occurrence Download

description: A dataset containing 150723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "Country is one of (Costa Rica, Mexico, Honduras, Nicaragua, El Salvador, Guatemala)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eumomota superciliosa"
 ]
}

 The dataset includes 150723 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050694-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17268071
title: Dataset for "Structure and scaling of inclined temporal gravity currents"

description: This dataset accompanies the paper:

Cui, L., Hughes, G. O., & van Reeuwijk, M. (2025). Structure and scaling of inclined temporal gravity currents. Journal of Fluid Mechanics.

For the corresponding data on free-slip boundary conditions mentioned in the paper, please refer to here.

If you use this dataset, please cite the associated publications and the Zenodo repository.
DOI: 10.5281/zenodo.17268072
title: Dataset for "Structure and scaling of inclined temporal gravity currents"

description: This dataset accompanies the paper:

Cui, L., Hughes, G. O., & van Reeuwijk, M. (2025). Structure and scaling of inclined temporal gravity currents. Journal of Fluid Mechanics.

For the corresponding data on free-slip boundary conditions mentioned in the paper, please refer to here.

If you use this dataset, please cite the associated publications and the Zenodo repository.
DOI: 10.15468/dl.q3pfbw
title: Occurrence Download

description: A dataset containing 12665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Humulus lupulus",
 "Geometry POLYGON ((26.04335 1.226334, 135.0263 1.226334, 135.0263 55.38525, 26.04335 55.38525, 26.04335 1.226334))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12665 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050724-250920141307145/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/13269898
title: Antutu Benchmark
DOI: 10.26023/x702-j6d2-4b07
title: ACE-ASIA: NSF/NCAR C-130 Total Gaseous Mercury. Version 1.0

description: The data was taken from a C-130 using the Tekran instument, and consists of a text file containg data from research flights 1-16, including Time, Latitude, Longitude, Altitude, and TGM.
DOI: 10.15468/dl.p235zc
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromodoris quadricolor",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjd4vj
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050728-250920141307145/datasets/export for details.
DOI: 10.15468/dl.jd3bmj
title: Occurrence Download

description: A dataset containing 46888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-15400.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Physalis acutifolia, Physalis angulata, Physalis angustifolia, Physalis arborescens, Physalis angustiphysa, Physalis arenicola, Physalis campanula, Physalis caudella, Physalis chenopodiifolia, Physalis cinerascens, Physalis cordata, Physalis coztomatl, Physalis crassifolia, Physalis elliottii, Physalis fendleri, Physalis glabra, Physalis glutinosa, Physalis greenmanii, Physalis grisea, Physalis hederifolia, Physalis heterophylla, Physalis hintonii, Physalis ignota, Physalis ixocarpa, Physalis lagascae, Physalis lanceolata, Physalis lassa, Physalis longifolia, Physalis macrosperma, Physalis melanocystis, Physalis microcarpa, Physalis microphysa, Physalis minima, Physalis campechiana, Physalis minimaculata, Physalis mollis, Physalis neomexicana, Physalis nicandroides, Physalis orizabae, Physalis patula, Physalis peruviana, Physalis philadelphica, Physalis pruinosa argentina, Physalis pubescens hygrophila, Physalis pubescens pubescens, Physalis pumila pumila, Physalis pumila hispida, Physalis pumila, Physalis purpurea, Physalis solanacea, Physalis sordida, Physalis subilsiana, Physalis sulphurea, Physalis victoriana, Physalis viscosa, Physalis walteri)"
 ]
}

 The dataset includes 46888 records from 457 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050725-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.