cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/dtsdvypy67.1
title: Soil and Topography Over Climate: Modeling the Habitat Suitability of Aleppo Pine in Northwestern Algeria Using MaxEnt

description: these scrpit and data are about the modeling the habitat suitability of aleppo pine in region of sidi bel abess in the northwestern of Algeria.
the script R use the maxent model, which use a sample distrubtion of aleppo pine in csv
and 12 raster data (asc format) represenint edaphic, climatic and geomorphologic data.
DOI: 10.17632/4z79ysd39y.1
title: Wolbachia-derived small non-coding RNAs exhibit cross-kingdom regulatory effects on host reproduction of a polyphagous mite

description: Fitness data and statistical analysis results.
DOI: 10.17632/42b7yrzznh
title: Fruupy Market Research Business Project

description: This data set presents a summarized findings from a questionnaire targeting consumers aged 17-25, focusing on their purchasing behaviour, preferences and awareness related to a fresh cut fruit product. To collect the data we use a qualitative method by interviewing around 17 respondents. The study aims to understand consumption habits, budget constraints, and potential marketing opportunities for a business targeting students and young adults.
DOI: 10.17632/42b7yrzznh.1
title: Fruupy Market Research Business Project

description: This data set presents a summarized findings from a questionnaire targeting consumers aged 17-25, focusing on their purchasing behaviour, preferences and awareness related to a fresh cut fruit product. To collect the data we use a qualitative method by interviewing around 17 respondents. The study aims to understand consumption habits, budget constraints, and potential marketing opportunities for a business targeting students and young adults.
DOI: 10.17632/h7b4ryrbzw
title: Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model

description: This dataset contains the research data used in the study “Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision–Language Ternary Classification Model.” It includes data from 848 patients with pathologically confirmed lung adenocarcinoma collected across four medical centers. The dataset supports a study evaluating the GPT-4o vision–language model for ternary classification of pure ground-glass nodules (pGGNs).
The input data for the GPT-4o model are provided in MP4 format and organized into three folders according to pathological subtype: preinvasive lesions (MP4_PRE; n = 333), minimally invasive adenocarcinomas (MP4_MIA; n = 376), and invasive adenocarcinomas (MP4_IAC; n = 139).
To promote transparency and reproducibility, the dataset also includes two supplementary scripts, "dicm_to_nii.py" and "nii_to_mp4.py", which detail the anonymization and data conversion processes used in this study. These scripts demonstrate the step-by-step transformation from the original DICOM-format CT images to anonymized NIfTI (.nii.gz) files and subsequently to MP4-format videos used as model inputs. This workflow provides researchers with a clear reference for ensuring patient privacy protection when applying online vision–language models to medical imaging data.
Due to Mendeley Data’s maximum storage capacity of 10 GB, we uploaded all video data used as inputs for the vision–language models (GPT-4o, Google Gemini 2.5 Pro, and Molmo), which together occupy 9.94 GB of space. Accordingly, this dataset contains only the anonymized video data used for model analysis. The CT images of all patients (totaling 81.1GB) will be disclosed in other databases that can provide the corresponding capacity.
Users of this dataset please cite the following publication:
“Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision–Language Ternary Classification Model.”
DOI: 10.17632/h7b4ryrbzw.1
title: Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision-Language Ternary Classification Model

description: This dataset contains the research data used in the study “Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision–Language Ternary Classification Model.” It includes data from 848 patients with pathologically confirmed lung adenocarcinoma collected across four medical centers. The dataset supports a study evaluating the GPT-4o vision–language model for ternary classification of pure ground-glass nodules (pGGNs).
The input data for the GPT-4o model are provided in MP4 format and organized into three folders according to pathological subtype: preinvasive lesions (MP4_PRE; n = 333), minimally invasive adenocarcinomas (MP4_MIA; n = 376), and invasive adenocarcinomas (MP4_IAC; n = 139).
To promote transparency and reproducibility, the dataset also includes two supplementary scripts, "dicm_to_nii.py" and "nii_to_mp4.py", which detail the anonymization and data conversion processes used in this study. These scripts demonstrate the step-by-step transformation from the original DICOM-format CT images to anonymized NIfTI (.nii.gz) files and subsequently to MP4-format videos used as model inputs. This workflow provides researchers with a clear reference for ensuring patient privacy protection when applying online vision–language models to medical imaging data.
Due to Mendeley Data’s maximum storage capacity of 10 GB, we uploaded all video data used as inputs for the vision–language models (GPT-4o, Google Gemini 2.5 Pro, and Molmo), which together occupy 9.94 GB of space. Accordingly, this dataset contains only the anonymized video data used for model analysis. The CT images of all patients (totaling 81.1GB) will be disclosed in other databases that can provide the corresponding capacity.
Users of this dataset please cite the following publication:
“Predicting Invasiveness of Lung Adenocarcinoma from Chest CT with Few-shot Vision–Language Ternary Classification Model.”
DOI: 10.17632/yx7ym3rj6s
title: BLM and BRCA1-BARD1 coordinate complementary mechanisms of joint DNA molecule resolution

description: The Bloom syndrome helicase BLM interacts with topoisomerase IIIα (TOP3A), RMI1 and RMI2 to form the BTR complex, which dissolves double Holliday junctions and DNA replication intermediates to promote sister-chromatid disjunction before cell division. In its absence, structure-specific nucleases like the SMX complex (comprising SLX1-SLX4, MUS81-EME1 and XPF-ERCC1) can cleave joint DNA molecules instead, but cells deficient in both BTR and SMX are not viable. Here, we identify a negative genetic interaction between BLM loss and deficiency in the BRCA1-BARD1 tumor suppressor complex. We show that this is due to a previously overlooked role for BARD1 in recruiting SLX4 to resolve DNA intermediates left unprocessed by BLM in the preceding interphase. Consequently, cells with defective BLM and BRCA1-BARD1 accumulate catastrophic levels of chromosome breakage and micronucleation, leading to cell death. Thus, we reveal mechanistic insights into SLX4 recruitment to DNA lesions, with potential clinical implications for treating BRCA1-deficient tumors.
DOI: 10.17632/yx7ym3rj6s.1
title: BLM and BRCA1-BARD1 coordinate complementary mechanisms of joint DNA molecule resolution

description: The Bloom syndrome helicase BLM interacts with topoisomerase IIIα (TOP3A), RMI1 and RMI2 to form the BTR complex, which dissolves double Holliday junctions and DNA replication intermediates to promote sister-chromatid disjunction before cell division. In its absence, structure-specific nucleases like the SMX complex (comprising SLX1-SLX4, MUS81-EME1 and XPF-ERCC1) can cleave joint DNA molecules instead, but cells deficient in both BTR and SMX are not viable. Here, we identify a negative genetic interaction between BLM loss and deficiency in the BRCA1-BARD1 tumor suppressor complex. We show that this is due to a previously overlooked role for BARD1 in recruiting SLX4 to resolve DNA intermediates left unprocessed by BLM in the preceding interphase. Consequently, cells with defective BLM and BRCA1-BARD1 accumulate catastrophic levels of chromosome breakage and micronucleation, leading to cell death. Thus, we reveal mechanistic insights into SLX4 recruitment to DNA lesions, with potential clinical implications for treating BRCA1-deficient tumors.
DOI: 10.17632/5ymjfk86tn
title: codes

description: Identification and validation of biomarkers associated with senescence-associated secretory phenotype in intervertebral disc degeneration date codes
DOI: 10.17632/5ymjfk86tn.1
title: codes

description: Identification and validation of biomarkers associated with senescence-associated secretory phenotype in intervertebral disc degeneration date codes
DOI: 10.17632/2kvc98hc65
title: AutoSpectral: 40-colour ID7000 dataset

description: Healthy human PBMC and buffy coat samples, cryopreserved and stained with a 40-colour flow cytometry panel. Acquired on a 5-laser Sony ID7000 spectral instrument. Unmixed using WLSM on the Sony software or using AutoSpectral.

WLSM: Sony software unmixed using weighted least squares
WLS: AutoSpectral unmixed using weighted least squares
scAF: AutoSpectral unmixed using weighted least squares and per-cell (single cell) autofluorescence extraction
perCellFluor: AutoSpectral unmixed using weighted least squares, per-cell autofluorescence extraction and per-cell fluorophore spectral optimization. Slow = exact recomputation of the unmixing matrix per variant, Medium = rank-one updating, Fast = approximation using the difference in spectrum between variants and the abundance of the endmember (fluorophore).
DOI: 10.17632/2kvc98hc65.2
title: AutoSpectral: 40-colour ID7000 dataset

description: Healthy human PBMC and buffy coat samples, cryopreserved and stained with a 40-colour flow cytometry panel. Acquired on a 5-laser Sony ID7000 spectral instrument. Unmixed using WLSM on the Sony software or using AutoSpectral.

WLSM: Sony software unmixed using weighted least squares
WLS: AutoSpectral unmixed using weighted least squares
scAF: AutoSpectral unmixed using weighted least squares and per-cell (single cell) autofluorescence extraction
perCellFluor: AutoSpectral unmixed using weighted least squares, per-cell autofluorescence extraction and per-cell fluorophore spectral optimization. Slow = exact recomputation of the unmixing matrix per variant, Medium = rank-one updating, Fast = approximation using the difference in spectrum between variants and the abundance of the endmember (fluorophore).
DOI: 10.17632/4prxr9n5t6.1
title: Supplementary material for Multi-omics Identifies Microbial and miRNA Biomarkers for Susceptibility of Subacute Ruminal Acidosis in Dairy Goats

description: Multi-omics Identifies Microbial and miRNA Biomarkers for Susceptibility of Subacute Ruminal Acidosis in Dairy Goats
DOI: 10.17632/yzndnyp9hc.1
title: UAV observation data

description: This dataset is only used to support the QZD-Multi-Source-Terrain-2025_v1.0 dataset. For relevant instructions, refer to the README.MD of QZD-Multi-Source-Terrain-2025_v1.0.
DOI: 10.17632/2tskc6rcfm.1
title: 215 Ma geochemical evolution of the Chilean Southern Central Volcanic Zone (26-29°S)

description: This dataset contains supplementary data to manuscript by S. Homrighausen, K. Hoernle, G. Jacques, F. Hauff, C. Arevalo, W. J. Collins, A. Klügel, and S. Mahlburg Kay: "Geochemical evolution of arc magmatism influenced by the Paraná–Etendeka flood basalt event and variations in subduction-eroded material" prepared for publication in Geochimica et Cosmochimica Acta.
DOI: 10.15468/dl.rnqegw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to -0.5729939867213919",
 "DecimalLatitude is less than or equal to 1.5273864309436027",
 "DecimalLongitude is greater than or equal to -77.22729804731921",
 "DecimalLongitude is less than or equal to -73.83736356647832",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006764-251025141854904/datasets/export for details.
DOI: 10.17632/vn2gxjcm5c
title: Dataset supporting: Gender budgeting, school infrastructure, and girls' schooling participation: Evidence from the Indian states

description: The datasets used in this study provide information on school infrastructure, available resources, teachers, and educational participation variables. The data has been sourced from two major repositories to analyze the impact of gender budgeting policy changes on school infrastructure, specifically facilities for girls, such as separate toilets, and their influence on schooling participation in India. The first dataset, the District Information System for Education (DISE), is primarily derived from the National University of Educational Planning and Administration (NUEPA) state report cards. This dataset covers the period from 2004 to 2017 for all states in India and serves as the primary source of information on school infrastructure and facilities. The second dataset, the India Human Development Survey (IHDS), is available in two waves and provides data on various aspects of human development. This study focused on the primary school facility survey data from the IHDS. These datasets played a crucial role in assessing the impact of gender budgeting on school infrastructure and educational outcomes for girls in India. Our findings indicate that gender budgeting has had a positive impact on outcomes. Additionally, state education expenditure data have been used to understand the spending patterns of state governments, which have been obtained from the RBI.
DOI: 10.17632/vn2gxjcm5c.3
title: Dataset supporting: Gender budgeting, school infrastructure, and girls' schooling participation: Evidence from the Indian states

description: The datasets used in this study provide information on school infrastructure, available resources, teachers, and educational participation variables. The data has been sourced from two major repositories to analyze the impact of gender budgeting policy changes on school infrastructure, specifically facilities for girls, such as separate toilets, and their influence on schooling participation in India. The first dataset, the District Information System for Education (DISE), is primarily derived from the National University of Educational Planning and Administration (NUEPA) state report cards. This dataset covers the period from 2004 to 2017 for all states in India and serves as the primary source of information on school infrastructure and facilities. The second dataset, the India Human Development Survey (IHDS), is available in two waves and provides data on various aspects of human development. This study focused on the primary school facility survey data from the IHDS. These datasets played a crucial role in assessing the impact of gender budgeting on school infrastructure and educational outcomes for girls in India. Our findings indicate that gender budgeting has had a positive impact on outcomes. Additionally, state education expenditure data have been used to understand the spending patterns of state governments, which have been obtained from the RBI.
DOI: 10.15468/dl.rqgkua
title: Occurrence Download

description: A dataset containing 17530 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 41.61782735307516",
 "DecimalLatitude is less than or equal to 55.48244653083045",
 "DecimalLongitude is greater than or equal to -95.15043520977237",
 "DecimalLongitude is less than or equal to -67.1882882999413",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17530 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006765-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p2tg48xy2k
title: Advances in Serum-Free Suspension Culture Technology for Animal Cells and Their Applications

description: This dataset contains the source data and underlying values for all figures and tables presented in the review article "Advances in Serum-Free Suspension Culture Technology for Animal Cells and Their Applications". The data support the analysis and conclusions drawn in the manuscript regarding the evolution of cell culture modes (e.g., monolayer, microcarrier, suspension) and suspension domestication methods for MDCK cells and other cell lines used in viral vaccine production.

Included in this dataset:
Source data for Figure 1: MDCK cell culture status in different culture modes.
Source data for Figure 2: Schematic representation of direct/indirect suspension domestication methods.
Source data for Table 1: Development and characteristics of serum-free media
Source data for Table 2: Cell lines genetically engineered for enhanced suspension growth.
Source data for Figure 2 (Bioreactor): Data points for the bioreactor development history timeline.
Source data for Table 3: Suspension cell lines available for viral proliferation.
Source data for Figure 3: Flowchart data for the cell-based viral vaccine production process.
DOI: 10.17632/p2tg48xy2k.1
title: Advances in Serum-Free Suspension Culture Technology for Animal Cells and Their Applications

description: This dataset contains the source data and underlying values for all figures and tables presented in the review article "Advances in Serum-Free Suspension Culture Technology for Animal Cells and Their Applications". The data support the analysis and conclusions drawn in the manuscript regarding the evolution of cell culture modes (e.g., monolayer, microcarrier, suspension) and suspension domestication methods for MDCK cells and other cell lines used in viral vaccine production.

Included in this dataset:
Source data for Figure 1: MDCK cell culture status in different culture modes.
Source data for Figure 2: Schematic representation of direct/indirect suspension domestication methods.
Source data for Table 1: Development and characteristics of serum-free media
Source data for Table 2: Cell lines genetically engineered for enhanced suspension growth.
Source data for Figure 2 (Bioreactor): Data points for the bioreactor development history timeline.
Source data for Table 3: Suspension cell lines available for viral proliferation.
Source data for Figure 3: Flowchart data for the cell-based viral vaccine production process.
DOI: 10.15468/dl.t96bpm
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Numenius tenuirostris"
 ]
}

 The dataset includes 380 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006766-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zvdt5ngdgh
title: The Time Cost of a Disability

description: We provide data for US (ATUS) and Spain (MTUS) as well as replication files for US, Spain and Poland for the article: “The Time Cost of a Disability” published in Journal of Health Economics (Hamermesh and Myck, 2026), available at: https://doi.org/10.1016/j.jhealeco.2025.103079. 
Replication files for US and Spain and can be run on the archived data using the STATA software. The full set of STATA replications files (dofiles) are provided for Poland: these facilitate the analysis based on the Polish Time Use Survey 2013, which can be obtained from the Polish Central Statistical Office.
DOI: 10.17632/zvdt5ngdgh.1
title: The Time Cost of a Disability

description: We provide data for US (ATUS) and Spain (MTUS) as well as replication files for US, Spain and Poland for the article: “The Time Cost of a Disability” published in Journal of Health Economics (Hamermesh and Myck, 2026), available at: https://doi.org/10.1016/j.jhealeco.2025.103079. 
Replication files for US and Spain and can be run on the archived data using the STATA software. The full set of STATA replications files (dofiles) are provided for Poland: these facilitate the analysis based on the Polish Time Use Survey 2013, which can be obtained from the Polish Central Statistical Office.
DOI: 10.17632/ytrvscbsj9
title: Circadian PERIOD proteins regulate TC-DSB repair through anchoring to the nuclear envelope. Le Bozec et al

description: Original uncropped Western Blots
DOI: 10.17632/ytrvscbsj9.1
title: Circadian PERIOD proteins regulate TC-DSB repair through anchoring to the nuclear envelope. Le Bozec et al

description: Original uncropped Western Blots
DOI: 10.17632/md6rryc3hy.2
title: Deep Learning Pipeline and Dataset for 3D ECG-Based Ischemia Detection

description: 1_Metrics_Computation: This folder contains the Python pipeline, explanatory documentation, and output files for the analysis of three-dimensional electrocardiogram (3D ECG) trajectories in patients with LAD ischemia before and after coronary revascularization. It includes the computation of geometric metrics (perimeter, curvature, almost-curvature, and torsion) along with statistical analyses.
2_DeepLearning_Classification: This folder includes the deep learning pipeline developed to extend the 3D ECG framework toward predictive modeling. It enables automated discrimination between ischemic and post-revascularization states based on 3D ECG-derived geometric descriptors, integrating residual MLP architectures, isotonic calibration, and patient-wise cross-validation for classification.
DOI: 10.17632/ddmjjfdkn6
title: Supplementary 1 - list of included papers

description: Supplementary file 1 for manscript entitled "Vaccine policy changes require more than weak secondary findings from underpowered trials - a reanalysis of randomized trials on nonspecific vaccine effects"
DOI: 10.17632/ddmjjfdkn6.2
title: Supplementary 1 - list of included papers

description: Supplementary file 1 for manscript entitled "Vaccine policy changes require more than weak secondary findings from underpowered trials - a reanalysis of randomized trials on nonspecific vaccine effects"
DOI: 10.17632/3zkswty7f2.2
title: Supplementary 2 - scoring of results after correction for multiplicity

description: Scoring of results in papers after correction for multiplicity in hypothesis testing. Supplementary file for manuscript entitled "Vaccine policy changes require more than weak secondary findings from underpowered trials - a reanalysis of randomized trials on nonspecific vaccine effects"
DOI: 10.15468/dl.7epwep
title: Occurrence Download

description: A dataset containing 396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.29_1, USA.45_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phacelia hastata",
 "Year 2005-2025"
 ]
}

 The dataset includes 396 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006767-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vkrxccpybg.1
title: QZD-Multi-Source-Terrain-2025_v1.0

description: This dataset supports the research presented in the paper “How multi-scale terrain parameters shaped the route alignment of Qin Zhi Dao in China’s Ziwuling Mountains”. It contains raw and result data for multi-scale terrain analysis of the Gansu section of the Qin Zhi Dao, an ancient military transportation route. The data encompasses fundamental geographic data, UAV (drone) imagery, vector spatial data, topographic evaluation factors, and analysis results for typical road sections.
DOI: 10.17632/x7xxsbkdpg
title: Humor and Alcohol

description: Dataset Humor and Alcohol
DOI: 10.17632/x7xxsbkdpg.1
title: Humor and Alcohol

description: Dataset Humor and Alcohol