cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.trj9kh
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Opuntia tehuantepecana (Bravo) Bravo"
 ]
}

 The dataset includes 53 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003394-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6qz7q
title: Occurrence Download

description: A dataset containing 442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coendou mexicanus Kerr, 1792"
 ]
}

 The dataset includes 442 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003395-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bde59
title: Occurrence Download

description: A dataset containing 1532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Micropterus salmoides (Lacepède, 1802)"
 ]
}

 The dataset includes 1532 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003396-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22024/unikent/01.01.561
title: EU and Russian official foreign policy discourse 2004-2021: primary sources used for carrying out empirical analyses

description: Primary sources used for carrying out the empirical analyses of Russian and EU foreign policy discourses on seven events that have been identified as floating signifiers from 2004 to 2021. The files of primary sources are arranged in zipped folders whose names relate to the seven identified events. A separate catalogue of sources provides a glossary and lists the original online location of the primary material.
DOI: 10.5281/zenodo.14754038
title: Enggano Etymological List

description: A repository of source dataset underlying the EnoLEX lexical database, available online at https://enggano.shinyapps.io/enolex/. The source codes and curated dataset for EnoLEX can be accessed via University of Oxford's Sustainable Digital Scholarship (SDS) repository or its source repository on GitHub. The EnoLEX database is described in the AsiaLex conference presentation and proceedings paper.
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.5281/zenodo.14754039
title: Enggano Etymological List

description: A repository of source dataset underlying the EnoLEX lexical database, available online at https://enggano.shinyapps.io/enolex/. The source codes and curated dataset for EnoLEX can be accessed via University of Oxford's Sustainable Digital Scholarship (SDS) repository or its source repository on GitHub. The EnoLEX database is described in the AsiaLex conference presentation and proceedings paper.
description: If you use this dataset, please cite it using the metadata from this file.
DOI: 10.15468/dl.n7jne2
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cichlasoma labridens (Pellegrin, 1903)"
 ]
}

 The dataset includes 92 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003397-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uxrw2
title: Occurrence Download

description: A dataset containing 2422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Herichthys cyanoguttatus Baird & Girard, 1854"
 ]
}

 The dataset includes 2422 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003398-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14759524
title: Scaling exponents of turbulent static pressure structure function in the inertial subrange

description: The file contains a data set, which can be used to reproduce findings reported in the manuscript " Scaling exponents of turbulent static pressure structure function in the inertial subrange" by Katul et al. (2025).

 

Gabriel G. Katul, Aslan, Toprak, and Mika Aurela. " Scaling exponents of turbulent static pressure structure function in the inertial subrange." submitted to Geophysical Research Letters in January 2025.

 

The data set contains four self-explanatory files:



1    Katul_et_al_2025_data1.xlsx consists of the data to reproduce Figure 1, including (1) minutely measured and averaged pressure data from automatic weather station and BMP sensor, respectively, and (2) friction velocity, standard deviation of raw and filtered pressure data measured by BMP sensor and dissipation rate of horizontal (u) and vertical wind components (w) for 545 half-hourly period as described in Section 3 (Experiment).

2    Katul_et_al_2025_data2.xlsx consists of the data to reproduce Figure 2, including (1) measured structure functions for filtered pressure, longitudinal velocity, and vertical velocity as a function of separation distance r for 545 half-hourly period as described in Section 3 (Experiment), and (2) the empirical probability density functions (PDFs) of the scaling exponents of pressure, horizontal and vertical velocity.

3    Katul_et_al_2025_data3.xlsx consists of the data reproduce Figure 3, including the interaction between large and inertial subrange scales as a function of normalized separation distances for the filtered fluctuations of pressure, horizontal and vertical velocity for 545 half-hourly period as described in Section 3 (Experiment).

4    Katul_et_al_2025_data4.xlsx consists of the data to reproduce Figure 4, including (1) the relation between the scaling exponent c in Equation 15 and ρp′2,Δp′2 determined for r/z between 0.1 and 0.5 as in Figure 3, (2) the relation between the similarity constant C2 in Equation 15 and ρp′2,Δp′2 determined between r/z=0.1 and 0.5 in Figure 3, (3) the relation between S∗ and the exponents of Dss in the ISR for s = p, s = u, and s = w. The data covers 545 half-hourly period as described in Section 3 (Experiment).
DOI: 10.5281/zenodo.14759525
title: Scaling exponents of turbulent static pressure structure function in the inertial subrange

description: The file contains a data set, which can be used to reproduce findings reported in the manuscript " Scaling exponents of turbulent static pressure structure function in the inertial subrange" by Katul et al. (2025).

 

Gabriel G. Katul, Aslan, Toprak, and Mika Aurela. " Scaling exponents of turbulent static pressure structure function in the inertial subrange." submitted to Geophysical Research Letters in January 2025.

 

The data set contains four self-explanatory files:



1    Katul_et_al_2025_data1.xlsx consists of the data to reproduce Figure 1, including (1) minutely measured and averaged pressure data from automatic weather station and BMP sensor, respectively, and (2) friction velocity, standard deviation of raw and filtered pressure data measured by BMP sensor and dissipation rate of horizontal (u) and vertical wind components (w) for 545 half-hourly period as described in Section 3 (Experiment).

2    Katul_et_al_2025_data2.xlsx consists of the data to reproduce Figure 2, including (1) measured structure functions for filtered pressure, longitudinal velocity, and vertical velocity as a function of separation distance r for 545 half-hourly period as described in Section 3 (Experiment), and (2) the empirical probability density functions (PDFs) of the scaling exponents of pressure, horizontal and vertical velocity.

3    Katul_et_al_2025_data3.xlsx consists of the data reproduce Figure 3, including the interaction between large and inertial subrange scales as a function of normalized separation distances for the filtered fluctuations of pressure, horizontal and vertical velocity for 545 half-hourly period as described in Section 3 (Experiment).

4    Katul_et_al_2025_data4.xlsx consists of the data to reproduce Figure 4, including (1) the relation between the scaling exponent c in Equation 15 and ρp′2,Δp′2 determined for r/z between 0.1 and 0.5 as in Figure 3, (2) the relation between the similarity constant C2 in Equation 15 and ρp′2,Δp′2 determined between r/z=0.1 and 0.5 in Figure 3, (3) the relation between S∗ and the exponents of Dss in the ISR for s = p, s = u, and s = w. The data covers 545 half-hourly period as described in Section 3 (Experiment).
DOI: 10.6084/m9.figshare.28301097
title: Additional file 3 of Allogeneic DNT cell therapy synergizes with T cells to promote anti-leukemic activities while suppressing GvHD

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.28301097.v1
title: Additional file 3 of Allogeneic DNT cell therapy synergizes with T cells to promote anti-leukemic activities while suppressing GvHD

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.27129324
title: Additional file 1 of Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.27129324.v1
title: Additional file 1 of Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28301112
title: Additional file 1 of Genotype-driven sensitivity of mice to tick-borne encephalitis virus correlates with differential host responses in peripheral macrophages and brain

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28301112.v1
title: Additional file 1 of Genotype-driven sensitivity of mice to tick-borne encephalitis virus correlates with differential host responses in peripheral macrophages and brain

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28301122
title: Additional file 1 of Cell-specific transcriptional signatures of vascular cells in Alzheimer’s disease: perspectives, pathways, and therapeutic directions

description: Additional file 1.
DOI: 10.6084/m9.figshare.28301122.v1
title: Additional file 1 of Cell-specific transcriptional signatures of vascular cells in Alzheimer’s disease: perspectives, pathways, and therapeutic directions

description: Additional file 1.
DOI: 10.6084/m9.figshare.28301154
title: Additional file 2 of Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28301154.v1
title: Additional file 2 of Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.28301193.v1
title: Additional file 1 of Design and maintenance of medical oxygen concentrators in Sub-Saharan Africa: a systematic review

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.28301193
title: Additional file 1 of Design and maintenance of medical oxygen concentrators in Sub-Saharan Africa: a systematic review

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.28301196
title: Additional file 2 of Design and maintenance of medical oxygen concentrators in Sub-Saharan Africa: a systematic review

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.28301196.v1
title: Additional file 2 of Design and maintenance of medical oxygen concentrators in Sub-Saharan Africa: a systematic review

description: Supplementary Material 2.
DOI: 10.15468/dl.tnx7kf
title: Occurrence Download

description: A dataset containing 112439 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 2025-01-03",
 "EventDate is less than or equal to 2025-02-02",
 {
 "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 112439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003391-250127130748423/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.28301207
title: Additional file 2 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 2. This file contains the overall data extraction table used for charting in the review.
DOI: 10.6084/m9.figshare.28301207.v1
title: Additional file 2 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 2. This file contains the overall data extraction table used for charting in the review.
DOI: 10.6084/m9.figshare.28301210
title: Additional file 3 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 3. This file contains the domain-level PROBAST judgements for each study.
DOI: 10.6084/m9.figshare.28301210.v1
title: Additional file 3 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 3. This file contains the domain-level PROBAST judgements for each study.
DOI: 10.6084/m9.figshare.28301213
title: Additional file 4 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 4. This file contains extracted items relating to the reproducibility of the studies.
DOI: 10.6084/m9.figshare.28301213.v1
title: Additional file 4 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 4. This file contains extracted items relating to the reproducibility of the studies.
DOI: 10.6084/m9.figshare.28301216.v1
title: Additional file 5 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 5. This file contains the extracted data items describing the feature engineering and sequential input methods of the studies.
DOI: 10.6084/m9.figshare.28301216
title: Additional file 5 of Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review

description: Additional File 5. This file contains the extracted data items describing the feature engineering and sequential input methods of the studies.
DOI: 10.5281/zenodo.14759494
title: Banco de Dados e Scripts de Análise: Prevalência de Ansiedade e Depressão em Profissionais de Enfermagem Durante a Pandemia da COVID-19
title: Repositório de Dados e Scripts: Ansiedade e Depressão em Profissionais de Enfermagem

description: Este repositório contém os dados e scripts R utilizados na análise da prevalência de ansiedade e depressão em profissionais de Enfermagem que atuaram em um Hospital Universitário durante a pandemia da COVID-19 (2022-2023).

Os principais conteúdos incluem:✔️ Banco de dados (arquivo .xlsx) com as variáveis sociodemográficas, econômicas, laborais e de saúde mental;✔️ Scripts R para a análise estatística, incluindo modelos de regressão de quasipoisson para estimar razões de prevalência (RP) e IC95%;✔️ Notas explicativas sobre modificações no banco de dados e nas análises;✔️ Arquivo README com orientações detalhadas para reprodutibilidade da pesquisa.

Os resultados incluem as tabelas de frequências descritivas (Tabelas 1 e 2) e modelos estatísticos de regressão para ansiedade e depressão (Tabelas 3 a 7), conforme publicados no artigo correspondente.

🔗 Citação recomendada:📄 NOBRE, F. A. P.; ALBUQUERQUE, M. C. S.; CABRAL JÚNIOR, C. R. Prevalência de ansiedade e depressão em profissionais de enfermagem na pandemia da Covid-19. Mosaico - Revista Multidisciplinar de Humanidades, Vassouras, v. 15, n. 1, p. 01-14, jan./abr. 2024.
DOI: 10.5281/zenodo.14759495
title: Banco de Dados e Scripts de Análise: Prevalência de Ansiedade e Depressão em Profissionais de Enfermagem Durante a Pandemia da COVID-19
title: Repositório de Dados e Scripts: Ansiedade e Depressão em Profissionais de Enfermagem

description: Este repositório contém os dados e scripts R utilizados na análise da prevalência de ansiedade e depressão em profissionais de Enfermagem que atuaram em um Hospital Universitário durante a pandemia da COVID-19 (2022-2023).

Os principais conteúdos incluem:✔️ Banco de dados (arquivo .xlsx) com as variáveis sociodemográficas, econômicas, laborais e de saúde mental;✔️ Scripts R para a análise estatística, incluindo modelos de regressão de quasipoisson para estimar razões de prevalência (RP) e IC95%;✔️ Notas explicativas sobre modificações no banco de dados e nas análises;✔️ Arquivo README com orientações detalhadas para reprodutibilidade da pesquisa.

Os resultados incluem as tabelas de frequências descritivas (Tabelas 1 e 2) e modelos estatísticos de regressão para ansiedade e depressão (Tabelas 3 a 7), conforme publicados no artigo correspondente.

🔗 Citação recomendada:📄 NOBRE, F. A. P.; ALBUQUERQUE, M. C. S.; CABRAL JÚNIOR, C. R. Prevalência de ansiedade e depressão em profissionais de enfermagem na pandemia da Covid-19. Mosaico - Revista Multidisciplinar de Humanidades, Vassouras, v. 15, n. 1, p. 01-14, jan./abr. 2024.
DOI: 10.25345/c57d2qk78
title: MassIVE MSV000096983 - Mapping the nanoscale organization of the human cell surface proteome reveals uncharacterized functional associations and surface antigen clusters
title: The cell surface is a dynamic interface central to immune activation, cell-cell communication, and signal transduction. Despite its functional significance, the spatial organization of cell surface proteins remains poorly understood. High-resolution fluorescence microscopy and proximity labeling have advanced studies of surface protein arrangement, but a systematic analysis of the spatial organization of the complete surface proteome remains unexplored. In this study, we systematically mapped the surface proteome of human T-lymphocytes and B-lymphoblasts using proximity labeling of 85 antigens, identified from over 100 antibodies tested for binding to surface-exposed proteins. These experiments were coupled with an optimized data-independent acquisition (DIA) mass spectrometry workflow to generate a robust dataset. Unsupervised clustering of the resulting interactome revealed functional modules, including well-characterized complexes such as the T-cell receptor and HLA class I/II, alongside novel clusters. Notably, we identified mitochondrial proteins localized to the surface, including the transcription factor TFAM, suggesting previously unappreciated roles for mitochondrial proteins at the plasma membrane. A high-accuracy machine learning classifier predicted over 6,000 surface protein associations, highlighting functional associations such as IL10RBs role as a negative regulator of type I interferon signaling. Spatial modeling of the surface proteome provided insights into protein dispersion patterns, distinguishing widely distributed proteins, such as CD45, from localized antigens, such as CD226. Interestingly, protein distribution appeared independent of abundance, pointing to active mechanisms regulating surface organization. This work provides a comprehensive map of the human surfaceome, offering a resource for exploring the spatial and functional dynamics of the cell membrane proteome.
DOI: 10.6084/m9.figshare.28301246
title: Additional file 2 of Community benefits of mass distribution of three types of dual-active-ingredient long-lasting insecticidal nets against malaria prevalence in Tanzania: evidence from a 3-year cluster-randomized controlled trial

description: Additional file 2.
DOI: 10.6084/m9.figshare.28301246.v1
title: Additional file 2 of Community benefits of mass distribution of three types of dual-active-ingredient long-lasting insecticidal nets against malaria prevalence in Tanzania: evidence from a 3-year cluster-randomized controlled trial

description: Additional file 2.
DOI: 10.15468/dl.xtg6tt
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (LSUMZ Birds Collection, Museu Paraense Emílio Goeldi - Ornithology Collection - Feathers_and_Skin, Colección de Tejidos del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-CT), Academy of Natural Sciences of Philadelphia Ornithology Collection)",
 "TaxonKey is Camptostoma P.L.Sclater, 1857",
 "Year 1980-2025"
 ]
}

 The dataset includes 143 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003399-250127130748423/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/10606255
title: Layline Shareholder activism dataset
DOI: 10.15468/dl.anw3da
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Thorichthys ellioti Meek, 1904"
 ]
}

 The dataset includes 74 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003400-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2uvf4
title: Occurrence Download

description: A dataset containing 845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Oreochromis aureus (Steindachner, 1864)"
 ]
}

 The dataset includes 845 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003401-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w33uay
title: Occurrence Download

description: A dataset containing 11486 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreochromis mossambicus (Peters, 1852)"
 ]
}

 The dataset includes 11486 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003402-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xjx8pg
title: Occurrence Download

description: A dataset containing 6627 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herpetofauna del Estado de Veracruz"
 ]
}

 The dataset includes 6627 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003404-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.