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}DataCite2026 · dataset
Full list of potential drug repurposing candidates for rare neuro-muscular disordersDrug repurposing is particularly challenging yet essential for rare diseases, where limited patient populations and scarce biomedical evidence hinder traditional discovery pipelines. This work presents a holistic machine learning approach for drug-disease link prediction, leveraging multiple heterogeneous sources including biomedical literature, structured databases, and textual descriptions of di
DataCite2026 · dataset
Data from: Electrically functionalized body surface for deep-tissue bioelectrical recordingDirectly probing deep tissue activities from body surfaces offers a non-invasive approach to monitoring essential physiological processes. However, this method is technically challenged by rapid signal attenuation toward the body surface and confounding motion artifacts, primarily due to excessive contact impedance and mechanical mismatch with conventional electrodes. Here, we produce low-impedanc
DataCite2026 · Crystal structure
Data from: A combinatorial synthetic strategy for developing genome-editing protein-delivery agents targeting mouse retinaCRISPR/Cas9-based gene-editing technologies offer promise for treating inherited retinal diseases (IRDs); however, safe and efficient ocular delivery of precision editors remains challenging. To address this challenge, we report a new class of Coomassie brilliant blue (CBB)-derived lipidoids that bind and deliver proteins. Subretinal injection of Cre complexed with these lipidoids into mT/mG mice
DataCite2025 · Computed tomography
Total-body PET for assessing myofascial painChronic low back pain due to myofascial pain syndrome is a widespread and debilitating condition, with substantial clinical and socioeconomic impact. Despite its prevalence, there remains a critical lack of objective and reproducible biomarkers for diagnosis and therapeutic assessment. Conventional methods for evaluating myofascial pain rely primarily on subjective clinician assessment and patient
DataCite2023 · Excel spreadsheet
Data underlying the research of: The mRNA expression of CACYBP in bladder and kidney cancer.qRT-PCR Cellular RNA was extracted using Trizol, and total RNA (500 ng) was transcribed into cDNA using the PrimeScript kit. Actin primers were used as an internal control. Real-time fluorescence quantitative RT-PCR assays were performed using Lightcycler 480ii. The qRT-PCR primer sequences used in this study are shown below: Cacybp: forward primer: 5-CTCCCATTACAACGGGCTATAC-3, reverse primer: 5-GA
DataCite2023 · Excel spreadsheet
Data underlying the research of: The mRNA expression of CACYBP in bladder and kidney cancer.qRT-PCR Cellular RNA was extracted using Trizol, and total RNA (500 ng) was transcribed into cDNA using the PrimeScript kit. Actin primers were used as an internal control. Real-time fluorescence quantitative RT-PCR assays were performed using Lightcycler 480ii. The qRT-PCR primer sequences used in this study are shown below: Cacybp: forward primer: 5-CTCCCATTACAACGGGCTATAC-3, reverse primer: 5-GA
DataCite2022 · dataset
2016 ASME, IMECE 2016, Phoenix: "Is the Maturation of Arteriovenous Fistulas a Mechanical or Biological Problem?"Supplementary materials to: Jodko D. , Obidowski D., Reorowicz P., Jóźwik K., Is the Maturation of Arteriovenous Fistulas a Mechanical or Biological Problem? Proceedings of the ASME International Mechanical Engineering Congress and Exposition, IMECE 2016, 11-17.11.2016, Phoenix, USA, ISBN 978-0-7918-5053-4, DOI: 10.1115/IMECE2016-65655 Changes of parameters recorded in the first 30 s of the arteri
DataCite2021 · dataset
Supplementary Data Table from MRI-based quantification of ophthalmic changes in healthy volunteers during acute 15° head-down tilt as an analogue to microgravityTable including all relevant processed data and demographic information analyzed in the present study.
DataCite2021 · dataset
MAMEM EEG SSVEP Dataset I (256 channels, 11 subjects, 5 frequencies presented in isolation)EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals. Check https:/
DataCite2021 · dataset
Metadata record for: Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speedsThis dataset contains key characteristics about the data described in the Data Descriptor Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Contents: 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DataCite2021 · collection
Supplementary material from "MRI-based quantification of ophthalmic changes in healthy volunteers during acute 15° head-down tilt as an analogue to microgravity"Spaceflight is known to cause ophthalmic changes in a condition known as spaceflight-associated neuro-ocular syndrome (SANS). It is hypothesized that SANS is caused by cephalad fluid shifts and potentially mild elevation of intracranial pressure (ICP) in microgravity. Head-down tilt (HDT) studies are a ground-based spaceflight analogue to create cephalad fluid shifts. Here, we developed non-invasi
DataCite2021 · dataset
Supplementary Data Table from MRI-based quantification of ophthalmic changes in healthy volunteers during acute 15° head-down tilt as an analogue to microgravityTable including all relevant processed data and demographic information analyzed in the present study.
DataCite2021 · dataset
MAMEM EEG SSVEP Dataset III (14 channels, 11 subjects, 5 frequencies presented simultaneously)EEG signals with 14 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the Emotiv EPOC, using 14 wireless channels has been used for capturing the signals. Check https://github.com/MAMEM/ssvep-eeg-processing-toolbox for the processing toolbox.
DataCite2021 · collection
Supplementary material from "MRI-based quantification of ophthalmic changes in healthy volunteers during acute 15° head-down tilt as an analogue to microgravity"Spaceflight is known to cause ophthalmic changes in a condition known as spaceflight-associated neuro-ocular syndrome (SANS). It is hypothesized that SANS is caused by cephalad fluid shifts and potentially mild elevation of intracranial pressure (ICP) in microgravity. Head-down tilt (HDT) studies are a ground-based spaceflight analogue to create cephalad fluid shifts. Here, we developed non-invasi
DataCite2021 · dataset
MAMEM EEG SSVEP Dataset II (256 channels, 11 subjects, 5 frequencies presented simultaneously)EEG signals with 256 channels captured from 11 subjects executing a SSVEP-based experimental protocol. Five different frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz) have been used for the visual stimulation, and the EGI 300 Geodesic EEG System (GES 300), using a 256-channel HydroCel Geodesic Sensor Net (HCGSN) and a sampling rate of 250 Hz has been used for capturing the signals. Check https:/
DataCite2021 · dataset · unknown
Interprofessional Education and Collaboration (IPE/C)Our future health professionals need to function in a changing healthcare environment. We consider it as necessary to prepare them to handle the challenges they encounter adequately. One solution is interprofessional education and collaboration. Healthcare professionals need to be able to collaborate interprofessionally to provide optimal care to patients and families. The patient and his or her n
DataCite2021 · dataset · unknown
Interprofessioneel Opleiden en Samenwerken (IPOS)Om onze toekomstige zorgprofessionals optimaal te laten functioneren in een sterk veranderende gezondheidszorg, is het noodzakelijk om hen hierop voor te bereiden. Daarom is interprofessioneel opleiden broodnodig. Zorgprofessionals moeten goed in staat zijn om adequaat met elkaar samen te werken in dienst van een optimale zorgverlening voor de cliënt. De cliënt met zijn of haar hulpvraag dient in
DataCite2020 · collection
Supplementary material from "Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks"The objective is to test automated in vivo estimation of active and passive skeletal muscle states using ultrasonic imaging. Current technology (electromyography, dynamometry, shear wave imaging) provides no general, non-invasive method for online estimation of skeletal muscle states. Ultrasound (US) allows non-invasive imaging of muscle, yet current computational approaches have never achieved si
DataCite2020 · dataset
All Interviews - Leximancer Data VisualisationConcept mapping results and associated generated by Leximancer using all 50 interviews. This dataset comprised of concept mapping the results and associated figures by Leximancer using all 50 interviews is a component of a Doctor of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications of Body Worn Computers: An Ethnographic Study'. This research was con
DataCite2020 · dataset
Interview - Andrew ClementThis dataset 'Interview - Andrew Clement’ is a component of a Doctor Of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications Of Body Worn Computers: An Ethnographic Study'. The full thesis can be accessed at https://ro.uow.edu.au/theses1/853 This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Inform
DataCite2020 · dataset
Interview - Roger ClarkeThis dataset 'Interview - Roger Clarke’ is a component of a Doctor Of Philosophy conducted by candidate Alexander Hayes (3919493) titled 'The Socioethical Implications Of Body Worn Computers: An Ethnographic Study'. The full thesis can be accessed at https://ro.uow.edu.au/theses1/853 This research was conducted in the Faculty of Engineering and Information Systems, School of Computing and Informat
DataCite2020 · collection
Supplementary material from "Estimation of absolute states of human skeletal muscle via standard B-mode ultrasound imaging and deep convolutional neural networks"The objective is to test automated in vivo estimation of active and passive skeletal muscle states using ultrasonic imaging. Current technology (electromyography, dynamometry, shear wave imaging) provides no general, non-invasive method for online estimation of skeletal muscle states. Ultrasound (US) allows non-invasive imaging of muscle, yet current computational approaches have never achieved si
DataCite2019 · dataset
Synthetic vowels of speakers with Parkinson’s disease and ParkinsonismThe dataset contains synthesized replicas of sustained vowels /A/ and /I/ performed by healthy controls, patients with Parkinson’s disease, multiple system atrophy and progressive supranuclear palsy. The dataset can be used as a reference for evaluation of pitch detectors, detectors of modal fundamental frequency, and detectors of subharmonics. Coding system Each recording is named by a unique alp
DataCite2019 · dataset
Dataset for: Extensional flow behaviour and spinnability of native silkRaw data for the following publication: Extensional flow behaviour and spinnability of native silkDOI: 10.1039/C8SM01199K
DataCite2019 · dataset · unknown
Interprofessional Education and Collaboration (IPE/C)Our future health professionals need to function in a changing healthcare environment. We consider it as necessary to prepare them to handle the challenges they encounter adequately. One solution is interprofessional education and collaboration. Healthcare professionals need to be able to collaborate interprofessionally to provide optimal care to patients and families. The patient and his or her n