Biomedical and Health Sciences

Data content: Raw data of RNA-seq results for rabbits.

Experimental animals and groups: Three months old New Zealand white rabbits were divided into three groups: healthy control group, model control group and model treatment group.


Objective. Currently, few non-invasive measures exist for directly measuring spinal sensorimotor networks. Electrospinography (ESG) is one non-invasive method but is primarily used to measure evoked responses or for monitoring the spinal cord during surgery. Our objectives for collecting this dataset were to evaluate the feasibility of ESG to measure spinal sensorimotor networks by determining spatiotemporal and functional connectivity changes during single-joint movements at the spinal and cortical levels.


Underwater sampling of heart rate for sports training has growing attention recently because of the availability of new sensors able to gather data while the user is swimming. Namely, optical sensor for the wrist and strap sensor for the chest. Underwater data transmission is not an option, forcing the analysis to be done off-line. Thus, movement and distance from heart could infuence the gap between data from sensors.


Please cite the following paper when using this dataset:

N. Thakur, S. Cui, K. A. Patel, N. Azizi, V. Knieling, C. Han, A. Poon, and R. Shah, “Marburg Virus Outbreak and a New Conspiracy Theory: Findings from a Comprehensive Analysis and Forecasting of Web Behavior,” Journal of Computation, Vol. 11, Issue. 11, Article. 234, Nov. 2023, DOI:



This dataset contains measured data from five sensor modules designed for monitoring the oxygen concentration in the air in a hospital environment, especially in rooms where oxygen therapy can potentially occurs. This data is crucial from a safety point of view, as a higher oxygen concentration can increase the risk of fire development.


Most promoters are derived from an arbitrary truncation of sequences upstream from the transcription start site of a gene, which is typically around 1,000 base pairs. Since the truncation is arbitrary, regulatory elements might be missing for transcription. Unfortunately, there exists no reasonable rationale for selecting a truncation threshold. Therefore, providing a reasonable rationale for truncation is crucial for obtaining the expected expression profiles of genes.


The data included here within is the associated model training results from the correlated paper "Distribution-Driven Augmentation of Real-World Datasets for Improved Cancer Diagnostics With Machine Learning". This paper focuses on using kernel density estimators to curate datasets by balancing classes and filling missing null values though synthetically generated data. Additionally, this manuscript proposes a technique for joining distinct datasets to train a model with necessary features from multiple different datasets as a type of transfer-learning.


Cemented total hip arthroplasty (THA) demonstrates superior survival rates compared to uncemented procedures. Nevertheless, most younger patients opt for uncemented THA, as removing well-fixed bone cement in the femur during revisions is complex, particularly the distal cement plug. This removal procedure often increases the risk of femoral fracture or perforation, haemorrhage and weakening bone due to poor drill control and positioning. Aim of this study was to design a novel drill guide to improve drill positioning.


This dataset protocol details the acquisition of a surface electromyography (sEMG) dataset from the Tibialis Anterior (TA) and Gastrocnemius Lateralis (GL) muscles of 20 healthy adults, with an equal distribution of 10 male and 10 female participants. The data was collected using the Delsys Trigno wireless EMG system during a 30-second walking session. Proper electrode placement on the specified muscles was ensured for accurate signal capture. Ethical considerations were addressed, with approval from the Institutional Review Board and informed consent from participants.


Raw data of 'Tetherless Multi-targeted Bioimpedance Device for Monitoring Peripheral Artery Disease Progression'

 The dataset includes results from measurements of pulse signals from three different arteries using a commercial bioimpedance device mentioned in the paper, both using the conventional method and the proposed approach.

Moreover, the dataset encompasses simulated outcomes derived from HFSS (High-Frequency Structure Simulator), specifically investigating the impact of different plaque sizes on current induction at various frequencies.