cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25555893.v1
title: Survey-based experiment on recruitment to a boycott campaign about chocolate

description: This is a four-country, two-language experiment about interpersonal versus organizational endorsements related to a boycott of the cocoa industry's use of child labour in West Africa. The survey-experiment was conducted in 2019 in Canada (English and French), France (French), the US (English), and the UK (English).
DOI: 10.17632/7ds4w36mdp
title: Dataset of Age- and sex-specific toxicity of Panagrellus redivivus

description: Our study hypothesized that the toxicity of zinc oxide (ZnO) nanoparticles (NPs) on the nematode Panagrellus redivivus is influenced by particle size, nematode sex, and developmental stage. The data set comprises mortality rates of P. redivivus exposed to ZnO NPs at two nominal particle sizes (15 nm and 140 nm) across a range of concentrations (0 to 100 mg/L). Mortality was assessed for different developmental stages (juvenile stages J2, J3/J4, and adults) and separately for males and females to identify inter-age and inter-sex differences. ZnO NP suspensions were prepared and characterized before exposure experiments, with scanning electron microscopy (SEM) used to confirm particle size distribution and dissolution properties in exposure media. Contrary to initial expectations, 140 nm ZnO NPs exhibited higher toxicity than 15 nm ZnO NPs. The elevated toxicity of 140 nm ZnO is likely attributable to its irregular morphology and increased ion release compared to 15 nm ZnO. Male nematodes were more sensitive to 15 nm ZnO at higher concentrations, with significantly higher mortality rates compared to females. These results suggest that sex-based physiological differences, such as surface area-to-volume ratios and metabolic activity, may influence NP uptake and toxicity. Early larval stages (J2) showed the highest mortality across both particle sizes and concentrations. In contrast, older juveniles (J3/J4) and adults exhibited lower mortality rates, highlighting developmental stage as a critical factor in toxicity sensitivity. The observed toxicity patterns indicate that ZnO NP toxicity is not solely dependent on size but also on particle morphology and dissolution properties. The greater sensitivity of J2 larvae suggests that smaller body size and less developed physiological defenses may make early life stages more susceptible to nanoparticle stress. Additionally, the heightened sensitivity of males to 15 nm ZnO underscores the importance of considering sex-specific responses in toxicity assessments.
DOI: 10.6084/m9.figshare.13335365.v1
title: CHAIN Focus Group Discussion Data_MITS in Malawi

description: Data from the CHAIN focus group discussion for the MITS in Malawi study.
DOI: 10.6084/m9.figshare.28944560.v2
title: RAW DATA for "<b>P</b><b>iR48444 inhibits MSC osteogenic differentiation </b><b>and bone regeneration </b><b>via targeting METTL7A/eIF4E</b><b>-</b><b>mediated BMP2 m</b><sup><strong>6</strong></sup><b>A methylation and translation</b>"

description: The raw data for the unpulished manuscript
DOI: 10.17632/fzjcstrgbd
title: SME exporting via digital platforms - 299 India data

description: This dataset consists of 299 Indian SMEs exporting via Amazon.
DOI: 10.17632/hvp6c3n62z
title: Global Warming Experiments

description: Data sets of Global Warming Experiments. These sets of data are plotted in Figs 4-6 of a manuscript entitled A Simple Experiment on Global Warming, which has been submitted for publication. Details of the experiments are given therein, along with discussion of the results.
DOI: 10.6084/m9.figshare.25003430.v1
title: Geo-mapping of Zé Pereira CZO

description: Georeferenced physical data from the José Pereira river basin.
DOI: 10.6084/m9.figshare.26182943.v1
title: Supplementary Material for: Efficacy and Safety of Anti-Osteoporotic Agents Across CKD Stages: A Meta-Analysis of Randomized Clinical Trials

description: Introduction: Osteoporosis poses a significant health concern, especially for individuals with chronic kidney disease (CKD). CKD disrupts mineral and bone metabolism, heightening the risk of fractures and complicating the management of osteoporosis. While anti-osteoporotic interventions aim to address bone health in CKD patients, ongoing research is essential to understand the comparative efficacy and safety of these medications, particularly in different CKD stages, notably in Stages 4 and 5.

Methods: We searched PubMed/MEDLINE, EMBASE, and the Cochrane CENTRAL for randomized controlled trials assessing the efficacy and safety of osteoporosis interventions in CKD up to June 15, 2024. The analysis utilized the pooled odds ratio (OR) along with the corresponding 95% confidence interval (CI), employing Comprehensive Meta-Analysis software, version 3.0. To assess heterogeneity in the results of individual studies, we used Cochran's Q statistic and the I2 statistic.

Results: We analyzed 12 randomized controlled trials involving 31,027 participants, revealing a significantly lower risk of vertebral fractures with anti-osteoporotic agents (Teriparatide, Denosumab, Romosozumab, Raloxifene) compared to placebo (pooled OR, 0.28 [95% CI, 0.22 to 0.36]). Stratification by CKD stages showed a lower risk in Stages 1-3 but no significant reduction in Stages 4 and 5. 
Teriparatide, Denosumab, and Romosozumab were effective in lowering fracture risk, whereas Raloxifene showed no significant effect. 
The lumbar spine, femoral neck, and total hip BMD showed no significant differences between anti-osteoporotic agents (Denosumab, Raloxifene, Risedronate, Alendronate, Teriparatide) and placebo. However, Romosozumab demonstrated a significantly greater BMD change in all kidney function categories. No reported side effects were observed in CKD stages 1 to 5 across the trials.

Conclusions: Our meta-analysis highlights the effectiveness of anti-osteoporotic agents in lowering vertebral fracture risk in CKD patients, particularly in Stages 1-3. However, this benefit is not apparent in Stages 4 and 5, necessitating further research. Despite the absence of reported side effects in CKD patients, clinicians should carefully assess the suitability of these medications, considering individual risks and benefits.
DOI: 10.6084/m9.figshare.8549204.v6
title: Data and material for the Carpinus fangiana genome

description: Data 1: Information for the repetitive elements in Carpinus fangiana genome.Data 2.txt: Information for the long treminal repeats (LTRs) in Carpinus fangiana genome.Data 3: Information for the predicted protein-coding gene models in Carpinus fangiana genome.Data 4: The CDS sequences of the predicted protein-coding gene models in Carpinus fangiana genome.Data 5: The protein sequences of the predicted protein-coding gene models in Carpinus fangiana genome.Data 6: Information for the predicted non-coding genes in Carpinus fangiana genome.Data 7.fasta: The sequences of the predicted non-coding genes in Carpinus fangiana genome.Data 8.txt: Information for the predicted tRNA in Carpinus fangiana genome.Data 9.fasta: The sequences of the prediceted tRNA in Carpinus fangiana genome.Material 1: Perl script for the quality contral of pair-end Illumina sequencing data.Material 2: Perl script for computing heterozygosity of the Carpinus genome based on variant calling results.
DOI: 10.17632/7jvnfjg6y7
title: Dataset for "More than enough is too much: Curvilinear relationship between anchor body movements and sales in live streaming e-commerce"

description: This dataset supports the replication of article "More than enough is too much: Curvilinear relationship between anchor body movements and sales in live streaming e-commerce".
DOI: 10.17632/9j9hmy8kbn
title: Multi-Disorder Annotations for Lumbar Spine Mid-Sagittal Images

description: This dataset comprises 1038 sagittal spinal MRI images, each with a resolution of 384 × 384 pixels. The images are acquired using both T1- and T2-weighted sequences. Each image has been annotated with segmentation masks corresponding to various spinal conditions and the filenames have been standardized to ensure a clear link between raw images and their masks.

Annotations have been meticulously performed by expert radiologists and spinal surgeons, ensuring high-quality, clinically relevant segmentations. The masks capture key anatomical and pathological features in each image, making the dataset valuable for developing automated diagnostic algorithms.
Total number of annotations on 1038 images are 8991 (objects), on average 8.66 objects/annotations per image. 

The annotations are organized into distinct subfolders within the “labeled_images” directory, each corresponding to a specific spinal condition. The breakdown of objects per class is as follows:-
- Normal IVD - 4131 objects
- Lumbar Disc Bulge (LDB) - 2033 objects
- Spinal Stenosis (SS) - 1921 objects
- Degenerative Disc Disease (DDD) - 633 objects (Includes conditions disc degeneration, disc desiccation, vertebral body end-plate degeneration)
- Thoracic Disc Bulge (TDB): 151 objects (Lesser number of objects since the dataset is related to Lumbar Spine Region)
- Spondylolisthesis: 122 objects

Each class folder contains modality-specific mask files (e.g., Sagittal_0001_T1_mask.png and Sagittal_0001_T2_mask.png), indicating that both T1- and T2-weighted images have been annotated. This dual-modality annotation enriches the dataset by providing complementary information critical for robust image analysis.

Summary of Annotations (Images) is also included in class_summary.txt within the labeled_images folder.
DOI: 10.6084/m9.figshare.12463955.v1
title: Supplementary Material for: Characteristics of Children with Acute Rheumatic Carditis from a High-Incidence Region: Importance of Unexplained Worsening of Functional Class

description: <b><i>Background:</i></b> Acute rheumatic fever (ARF) and acute rheumatic carditis (ARC) continue to be a major public health problem in developing countries. <b><i>Objective:</i></b> To study the characteristics of children with ARC being treated at a tertiary centre. <b><i>Methods and Results:</i></b> We studied 126 children (mean age 10.4 ± 2.3 years, range 5–15 years, 60% males) diagnosed with ARC by treating cardiologists. Most had lower socio-economic status. Fifty of 126 (40%) presented with a first episode of ARC. Joint symptoms were present in 29% and fever in 25%. Only 2.4% had subcutaneous nodules and none had erythema marginatum or chorea. Fifty-one percent presented in NYHA class II and 29% in NYHA class III or IV. Tachycardia and heart failure were present in 53% and 21%, respectively. Recent worsening of NYHA class (dyspnoea) was the commonest feature (48%). Laboratory investigations showed raised antistreptolysin O titres (&gt;333 units) in only 36.7% of patients. Raised C-reactive protein (CRP) was present in 70%, while raised erythrocyte sedimentation rate was found in only 37% of patients. On the basis of above findings, the modified Jones criteria (2015) for the diagnosis of ARF were satisfied only in 46% of children. Echocardiography showed mitral valve thickening in 77% and small nodules on the tip of the leaflets in 43% (27 and 8%, respectively for aortic valve). Left ventricular ejection fraction was &lt;50% in only 3 patients. The dominant valve lesion was mitral regurgitation (MR) (present in 95% of patients; severe in 78%, moderate in 15%), while aortic regurgitation was present in 44% (severe in 14%). <b><i>Conclusions:</i></b> The criteria are often not satisfied by patients being treated for ARC. Recent unexplained worsening of dyspnoea, young age, significant MR, echocardiographic nodules, and elevated CRP are important indicators.
DOI: 10.6084/m9.figshare.19319843.v1
title: Junco-Cowbird Dataset/R Code

description: This dataset encompasses data on junco nest survival, cowbird parasitism, and the removal of cowbird eggs from junco nests. Also included is the R code used in our analysis.
DOI: 10.6084/m9.figshare.21508065.v4
title: Processed DRIVE data for running SLIdR

description: SLIdR (Synthetic Lethal Identification in R) is a statistical framework to identify synthetic lethality pairs from large scale screens across multiple cancer types. Here, we are sharing the processed Project DRIVE data along with mutation data for running SLIdR in the pan-cancer and cancer type-specific settings. The enclosed RData file contains two objects: <strong>all_data</strong> - List of 17 processed cancer type-specific data in SLIdR format. <strong>pc_data</strong> - Processed pan-cancer data in SLIdR format for running SLIdR in the pan-cancer setting.
DOI: 10.6084/m9.figshare.25119143.v1
title: notho_tanzania_ddRAD_10occup.vcf

description: Data was obtain by double-digest restriction site associated DNA (ddRAD) sequencing. The quality and quantity of raw sequencing reads were checked using FastQC (Andrews, 2010) and MultiQC (Ewels et al., 2016) before and after data preparation. The program Skewer (Jiang et al., 2014) was used to demultiplex samples and remove restriction enzyme sites, inline barcodes and adapters. The data was assembled by mapping onto the reference genome of <i>Nothobranchius furzeri </i>(Genbank: GCA_001465895.2) and SNPs were extracted using iPyrad software 0.9.61 (Eaton and Overcast, 2020). The .vcf file contains the dataset with 10% occupancy across the dataset of 237 individuals of genus <i>Nothobranchius</i> from Tanzania and one specimen of <i>Fundulosoma thierryi</i> (used as an outgroup).
DOI: 10.6084/m9.figshare.6146519.v1
title: TCGA PanCanAtlas Gene Expression Data

description: Publicly available gene expression dataset from TCGA PanCanAtlas.<br>These data are used by Way et al. 2018 Cell Reports and were previously accessed on Synapse (Data Freeze 1.3.1)<br>For more details see https://www.synapse.org/#!Synapse:syn4976369.3 or https://github.com/greenelab/pancancer/
DOI: 10.6084/m9.figshare.19495121.v1
title: Dataset for: Spatial and temporal variability in greenhouse gas partial pressures in shallow lakes and ponds

description: This dataset accompanies the manuscript: <br> Spatial and temporal variability in summertime dissolved carbon dioxide and methane in temperate ponds and shallow lakes
DOI: 10.6084/m9.figshare.5900842.v1
title: Eyes-closed hybrid brain-computer interface employing frontal brain activation

description: Brain-computer interfaces (BCIs) have been studied extensively in order to establish a non-muscular communication channel mainly for patients with impaired motor functions. However, many limitations remain for BCIs in clinical use. In this study, we propose a hybrid BCI that is based on only frontal brain areas and can be operated in an eyes-closed state for end users with impaired motor and declining visual functions. In our experiment, electroencephalography (EEG) and near-infrared spectroscopy (NIRS) were simultaneously measured while 12 participants performed mental arithmetic (MA) and remained relaxed (baseline state: BL). To evaluate the feasibility of the hybrid BCI, we classified MA- from BL-related brain activation. We then compared classification accuracies using two unimodal BCIs (EEG and NIRS) and the hybrid BCI in an offline mode. The classification accuracy of the hybrid BCI (83.9 ± 10.3 %) was shown to be significantly higher than those of unimodal EEG-based (77.3 ± 15.9 %) and NIRS-based BCI (75.9 ± 6.3 %). The analytical results confirmed performance improvement with the hybrid BCI, particularly for only frontal brain areas. Our study shows that an eyes-closed hybrid BCI approach based on frontal areas could be applied to neurodegenerative patients who lost their motor functions, including oculomotor functions.
DOI: 10.17632/nxhs4ppcdf
title: Data for: Quantitative constraints to the complete state of stress from the combined borehole and focal mechanism inversions: Fox Creek, Alberta

description: Supplementary material for Shen et al., (2019). Quantitative constraints to the complete state of stress from the combined borehole and focal mechanism inversions: Fox Creek, Alberta
DOI: 10.6084/m9.figshare.1003854.v1
title: 10kV power supply for a Nier type ion source

description: This is a schematic for a 10kV power supply for a Nier type electron impact ion source. The power supply provides the following potentials: 1) Source HV (0-10kV) 2) Focus (0-10kV) 3) Delta Focus (+/- 0 - 500V around the focus potential) 4) Electron energy (0 - 120eV) 5) Ion repeller (-30 - +30V) 6) Trap voltage (+20 - +60V)
DOI: 10.6084/m9.figshare.25559160.v1
title: 西瓜超级泛基因组助力抗病基因挖掘与利用--第3章附表

description: 博士论文“西瓜超级泛基因组助力抗病基因挖掘与利用”第3章“T2T西瓜属超级泛基因组的构建”附表
DOI: 10.6084/m9.figshare.27325089.v1
title: Motor unit systematic review project

description: The aim of this project was to identify and summarize all literature investigating motor unit discharge rate and discharge rate variability (coefficient of variation of the inter-spike interval; CoV-ISI) during voluntary isometric contractions at various force levels. Databases were searched up to May 9, 2024, and a total of 251 studies were included. The meta-means of motor unit discharge rate and CoV-ISI were estimated and compared across human muscles. The influence of contraction intensity on motor unit discharge behaviour was assessed through linear meta-regressions. For further details, please refers to the <b>READ ME</b> file.
DOI: 10.6084/m9.figshare.5435866.v8
title: MCA DGE Data

description: MCA single cell DGE data (Cells with &gt;500UMI ) for the following manuscript:Mapping the Mouse Cell Atlas by Microwell-seq<br>MCA_500more_dge.rar: The raw digital expression matrix (dge) of more than 400,000 single cells sorted by tissues. All cells have more than 500 transcripts. The batch genes were not removed.<br>MCA_BatchRemove_dge.zip: The batch gene removed dge of more than 200,000 primary single cells sorted by tissues. Some tissues are not included due to relatively strong batch effects. This dataset can be used to make global tissue tSNE plot and do cross-tissue analysis.<br>MCA_CellAssignments.csv: The annotation of cells, which includes the cell names, cluster ID, belonged tissues, experimental batches and cell barcodes.<br>MCA_Figure2-batch-removed.txt.tar.gz: The batch removed dge of approximately 60,000 cells of high quality. 1500 cells were sampled from 43 tissues respectively. This sampled data is used for Figure 2.<br>MCA_Figure2_Cell.info.xlsx: The annotations of cells used in Figure2. <br>Sheet1: The annotations of each cell used in Figure2, including cell names, cluster ID, belonged tissues. <br>Sheet2: The annotations of 98 clusters in Figure2. <br>Sheet3: The composition of cell numbers in 98 clusters and 43 tissues. <br>MCA_Batch Information.xlsx: The batch information, which includes the age and gender of the mouse, and experiment batches for MCA data.<br><br>MCA_BatchRemoved_Merge_dge.h5ad：The updated dge with batch gene removed. It can be read with scanpy python package. About 333778 cells are included.<br>MCA_BatchRemoved_Merge_dge_cellinfo.csv: The cell information of MCA_BatchRemoved_Merge_dge.h5ad.<br><br><br><br>Batch effect removalFor cross tissue comparison, we removed the batch gene background to improve presentation. We assume that for each batch of experiment, the cell barcodes with less than 500UMI correspond to the empty beads exposed free RNA during the cell lysis, RNA capture and washing steps. The batch gene background value is defined as the average gene detection for all cellular barcodes with less than 500 UMI, multiplied by a coefficient of 2, and then rounded to the nearest integer. Genes detected in less 25% of all cells are removed from the batch gene background list. We subtract the batch gene background for each cell from the digital expression matrix before making the cross tissue comparison figures.
DOI: 10.17632/2gsw6n9xhm
title: ISOTOPOS

description: Data from the analysis of heavy isotopes of the water molecule in different environments of the Amazon ecosystem. The data is structured to be used in statistical Bayesian mixture models to obtain estimates of the proportion of contribution of surface and groundwater to the base flow of surface watercourses, with the intention of verifying the flow that contributes most to the flow of surface water bodies in natural areas located in natural and urban microbasins. However, for more precise conclusions based on the information obtained, more studies and collections are necessary. However, the results obtained already provide notions of the behavior of surface and groundwater flow, but reflect on surface waters, as well as indicating which water body has water. older or newer subterranean structures in the environment and whether there are significant differences between specific locations.
DOI: 10.17632/4s2zfg6mg9
title: Data set and models to select algorithms for a serial-batch scheduling problem

description: For selecting an algorithm from a set of algorithms to solve a serial-batch scheduling problem, we propose in our working paper "Machine Learning based Algorithm Selection and Genetic Algorithms for serial-batch scheduling" to use Machine Learning models for predicting an algorithm based on characteristics of the problem instance.
To get an accurate Machine Learning model for this task, a large data set of instances with different "complexities" is needed.
This repository contains a data set of serial-batch scheduling problems (with their feature vectors) and several Machine Learning models developed in ["Learning-augmented heuristics for scheduling parallel serial-batch processing machines" (Computers & Operations Research, 2022, 10.1016/j.cor.2022.106122)], and [Uzunoglu, A., Gahm, C. & Tuma, A. A machine learning enhanced multi-start heuristic to efficiently solve a serial-batch scheduling problem. Ann Oper Res (2023). https://doi.org/10.1007/s10479-023-05541-w]. 
These Machine Learning models are used to perform an efficient grid search in the parameter space of a heuristic. Each Machine Learning-based grid search (MLPP-methods in the first paper and MLRP-methods in the second paper) represents a solution method to solve the serial-batch scheduling problem.

The data set comprises two feature vector representations (CF12 with 12 features and AF85 with 85 features) and 17 objective values computed by the solution methods of the aforementioned papers for each problem instance. Please note that the ordering of the features must be maintained when applying the Machine Learning models. The provided serial-batch scheduling problem instances are a subset of the instance set in [Gahm, Christian (2022), “Extended instance sets for the parallel serial-batch scheduling problem with incompatible job families, sequence-dependent setup times, and arbitrary sizes”, Mendeley Data, V2, doi: 10.17632/rxc695hj2k.2] excluding the S (small) instances.
DOI: 10.17632/hpxhgybhtd
title: Data of RNA-Seq in Type 2 Alveolar Epithelial Cells Exposed to Diesel Exhaust Particles

description: This dataset includes the RNA sequencing (RNA-Seq) in MLE-12 type II alveolar epithelial cells (AECII) exposed to diesel exhaust particle (DEP) at 0 (Control) and 50 μg/mL for 6, 16, and 24 hours. The dataset includes the summary of the gene sequenced, differentially expressed genes (DEG), and genes annotated by Disease Ontology (DO), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.