Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
126,115
datasets available to search
ShareScore release 0.9.0
Dataset results
126,115 results for “Patients”
SPSS data of malaria patient in East Nile locality, Khartoum, Sudan
<p>Column 1= Age</p> <p>Column 2= Sex (male=1, female=2)</p> <p>Column 3= Residence (E.N= East Nile Locality)</p> <p>Column 4= Occupation (Government=1, Private=2, home worker=3, Student=4, Child=5)</p> <p>Column 5= Chronic disease (Diabetes mellitus =1, Blood pressure=2, Heart disease=3, Asthma=4, </p> <p> Healthy=5, Renal disease=6)</p> <p>Column 6 = Recurrent infection (yes=1, No = 2)</p> <p>Column 7 = Test sensitivity (yes=1, No=2)</p> <p>Column 8 = Treatment (Quinine=1, Quartum=2, Artemether=3, Not take any treatment= 4)</p> <p>Column 9= Changing stored water (yes=1, No=2)</p> <p>Column 10: Do you use bed nets? (yes=1, No=2)</p> <p>Column 11= Spraying insecticides (yes=1, No=2)</p> <p>Column 12= Blood film (Positive=1, Negative =2)</p> <p>Column 13= Plasmodium species (P.falciparum= 1, P. vivax= 2, Mixed infection=3)</p> <p>Column 14= Plasmodium stage (Ring stage=1, Late trophozoite =2, Schizont=3)</p> <p>Column 15= Density of parasite (+=1, ++=2,+++=3,++++=4)</p> <p>Column 16= Interferon</p> <p>Column 17= Interleukin 10</p> <p>Column 18= Tumer necrosis factor</p> <p>Column 19= Control sample Interferon</p>
Validity of accelerometry in step detection and gait speed measurement in orthogeriatric patients (DATASET)
<p>see README.txt for descriptions of files and formats<br> </p>
Continuous Digital Monitoring of Walking Speed in Frail Elderly Patients: Noninterventional Validation Study and Longitudinal Clinical Trial (Data for independent validation study)
<p>Digital technologies and advanced analytics have drastically improved our ability to capture and interpret health relevant data from patients. However, to date, limited data and results have been published detailing real-world patient compliance, demonstrating accuracy in target indications or examining what novel insights and clinical value can be derived. Here we present novel, digital mobility data from two studies: an independent, non-interventional validation study with elderly, naturally slow walking subjects, and a global, multi-site phase IIb clinical trial involving patients with age-related muscle loss and slow walking speed (sarcopenia). Based on these data, we validate the accuracy of a novel algorithm for capturing in-clinic and real-world gait speed in frail, slow-walking adults. We demonstrate the feasibility of continuous monitoring with a wearable inertial sensor in elderly adults in real-world settings, and propose minimum thresholds for compliance required for robust capture of gait behaviors in this population. We also show how simple, inferred contextual information, describing the length of a given walking bout, can explain some of the variation in real-world gait speed, and use this information to demonstrate for the first time a relationship between in-clinic performance and real-world gait speed behavior. This work lays a foundation for exploration of the clinical relevance and value of such measures and is a first step in building a more complete chain of evidence between standardized physical performance assessment, real-world behavior, and subjective perceptions of mobility, independence and health.</p> <p>This dataset contains data collected during the independent validation study: derived data from raw accelerometry data, and summary performance data.</p> <p>The full dataset, including raw accelerometry data, is available here: <a href="https://mueller-et-al-2019.s3.amazonaws.com/index.html">https://mueller-et-al-2019.s3.amazonaws.com/index.html</a></p>
Elevated Atopic Comorbidity in Patients with Food Protein-Induced Enterocolitis
<p>Dataset used for manuscript</p>
Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis
<p>This dataset contains the results of 2 related analyses, described in "Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis" (European Heart Journal Supplements, OUP). Link to the article: https://www.hal.inserm.fr/inserm-02310241</p> <p>1) In the directory "miRNAs_MARTHA_GWAS" : GWAS summary statistics for 162 circulating miRNAs in 344 VTE patients from the MARTHA cohort.</p> <p>Header for each summary file:</p> <p>Trait: miRNA id<br> chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> freq_A1: Frequency of reference allele<br> rsqr: Imputation quality defined by MACH<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)<br> z.score: Z-score</p> <p> </p> <p>2) In the directory "meta_analysis": Random effect meta-analysis combining the results of our GWAS on the MARTHA cohort, and the results from a similar analysis conducted by Nikpay et al. (doi: 10.1093/cvr/cvz030). Summary statistics of 142 microRNAs, common to both datasets, were processed (and combine 1054 samples).</p> <p>Header for each summary file:</p> <p>chr: Chromosome<br> pos.hg19: Position of the variant in hg19/GRCh37 coordinates<br> SNP: rsid<br> A1: Reference allele on the forward strand<br> A2: Alternate allele on the forward strand<br> N: Sample size<br> Q: Cochran's heterogeneity statistic<br> Q.p: p-value of Cochran's Q<br> beta_A1: Estimated effect size (beta regression coefficient) of reference allele<br> se_A1: Estimated standard error of beta<br> p: p-value (significance of estimated beta)</p> <p> </p>
DATASET Volumetric Stability of Biphasic HAp/b-TCP/Collagen Implants in Malar Zone Augmentation: A CBCT Study in Orthognathic Surgery Patients
<p>This dataset repository contains data and analysis scripts related to the study on the volumetric stability of biphasic HAp/b-TCP/collagen implants used for malar zone augmentation in orthognathic surgery patients. The study evaluates the changes in implant volume over time using Cone Beam Computed Tomography (CBCT) scans. The dataset includes CSV files with clinical data and HTML files documenting the analysis procedures.</p> <h3> </h3>
Figure 1 in Molecular characterization of Giardia lamblia and risk factors for giardiasis among immunocompromised patients in southern Brazil
Figure 1. Similarity between sequences of the gdh gene of isolates from G. lamblia in immunocompromised patients in southern Brazil (P01 to P18) and sequences of the parasite found in Brazil and stored in the GenBank, by the Neighbor-Joining (NJ) method with 1000-replicate bootstrap (A) and by the Maximum Likelihood (ML) method with 1000-replicate bootstrap (B). Bootstrap values below 50 were omitted.
Figure 2 in Molecular characterization of Giardia lamblia and risk factors for giardiasis among immunocompromised patients in southern Brazil
Figure 2. Similarity between sequences of the gdh gene of isolates from G. lamblia in immunocompromised patients in southern Brazil (P01 to P18) and sequences of the parasite in different countries and stored in the GenBank, by the Neighbor-Joining (NJ) method with 1000-replicate bootstrap (A) and by the Maximum Likelihood (ML) method with 1000-replicate bootstrap (B). Bootstrap values below 50 were omitted.
Genome Sizes of Bacterial Species Detected in Cell-Free DNA of Patients with Acute Leukemia and Sepsis, Including Those Undergoing Bone Marrow Transplantation
<p>Next Generation Sequencing (NGS) analysis of Cell-Free DNA provides valuable insights into a spectrum of pathogenic species (particularly bacterial) in blood. Patients with Sepsis often face problems like delays in treatment regimens (combination or cocktail of antibiotics) due to the long turnaround time (TAT) of classical and standard blood culture procedures. NGS gives results with lower TAT along with high-depth coverage. The use of NGS may be a possible solution to deciding treatment regimens for patients without losing precious time and more accurately possibly saving lives.</p> <p>Our curated dataset is of bacterial species or strains detected along with their genome size in 107 AML patients diagnosed with Sepsis clinically. Cell-free DNA profiles of patients were built and sequencing was done in Illumina (NovaSeq and NextSeq). Bioinformatic analysis was performed using two classification algorithms namely kraken2 and kaiju. For kraken2 based classification reference bacterial index developed by Carlo Ferravante et al (Zenodo 2020) (link: https://zenodo.org/records/4055180) was used, while for kaiju-based classification reference database named "nr_euk" dated "2023-05-10" (link: https://bioinformatics-centre.github.io/kaiju/downloads.html) was used.</p> <p>Genome size annotation is important in metagenomics since for the use of depth of coverage (abundance), genome size is required. In metagenomic classification algorithms like kraken/kraken2 and kaiju output computes reads assigned only and not abundance. In kaiju, the problem is more complicated since the reference database does not have a fasta file but only an index file from which alignment is done. </p> <p>To address the above challenges to compute "depth of coverage" or simply abundance, we build a Genome size annotator tool (https://github.com/patkarlab/Genome-Size-Annotation) which provides genome size for each species detected given its taxid is available. In this tool, the NCBI Datasets tool, NCBI Genome API check tool, and Data Mining from AI search engines like perplexity.ai are used. </p> <p>We have curated two datasets</p> <p>Kraken2 dataset named "FINAL METAGENOMIC DATA MASTERSHEET - kraken_genome_annotation"<br>Kaiju dataset named "FINAL METAGENOMIC DATA MASTERSHEET - kaiju_genome_annotation"</p> <p>*Please note that for kraken2 curated dataset, we used data mining from the AI search engine perplexity.ai while for kaiju we did not use perplexity, ai, and any species whose genome size was not found was labeled "NA"</p>
The dataset of article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis"
<p>This is a file as dataset of the article "Early Detection of Cognitive Impairment in End-Stage Renal Disease Patients Undergoing Hemodialysis: Insights from Resting-State Functional Connectivity Analysis".</p> <p>It includes fMRI brain imaging data of subjects included in the case group (ESRD group) and healthy control group (HC group).</p>
A Data-Driven Epigenetic Characterization of Morning Fatigue Severity in Oncology Patients Receiving Chemotherapy: Associations with Epigenetic Age Acceleration, Blood Cell Types, and Expression-Associated Methylation
<p>This dataset contains supplementary materials including the eCpG mapping analysis results and annotation. The manuscript has been accepted for publication at Cancer Medicine. Please cite both the paper as well as the DOI of this dataset if you make use of the data.</p>
THE IMPACT OF PAEDIATRIC EMERGENCY MANAGEMENT SKILLS ON PATIENT OUTCOMES IN ZARIA
<p><span>Paediatric emergencies represent a critical challenge in Nigeria, where approximately 2,300 children under the age of five die daily, predominantly from preventable and treatable conditions such as pneumonia, malaria, and diarrheal diseases. Mortality rates are disproportionately higher in rural areas, where primary health care (PHC) centers often serve as the only point of access to medical services. The effectiveness of these centers is largely dependent on the emergency management skills of their healthcare workers. Despite their importance, there has been limited research on how the skills of PHC workers in managing paediatric emergencies impact patient outcomes.</span></p> <p><span>This study aimed to assess the proficiency of healthcare workers in primary healthcare centers in Zaria in managing common paediatric emergencies. A cross-sectional descriptive study was conducted among 139 health workers selected through a multi-stage sampling technique in Sabon Gari and Zaria Local Government Areas. Data collection was carried out using a pre-tested semi-structured self-administered questionnaire. The data were analyzed using SPSS version 21, and associations were tested using the chi-square test, with results presented in tables and charts.</span></p> <p><span>The findings revealed a significant deficiency in the emergency management skills of healthcare workers. A majority of respondents demonstrated inadequate skills in handling paediatric emergencies, with 66 (48.5%) exhibiting very poor competency in the management of common paediatric emergencies, and 32 (23.5%) displaying poor competency. Only a small fraction, 4 (2.9%) of respondents, demonstrated excellent skills in emergency management. Similarly, 46.7% of the respondents had very poor skills in the treatment of common paediatric emergencies, while only 3.0% exhibited excellent treatment skills. A statistically significant relationship was observed between the level of academic qualification and emergency management skills (p < 0.05).</span></p> <p><span>The results underscore the critical need to enhance the skill levels of healthcare workers in PHCs through continuous professional development. This could be achieved through collaborative efforts between the Department of Paediatrics at Ahmadu Bello University Teaching Hospital and the Primary Health Care Departments of Zaria and Sabon Gari local governments, focusing on regular training and workshops. Improving the skills of healthcare workers in managing paediatric emergencies is essential for reducing child mortality and improving health outcomes in the region.</span></p>
ANALYSIS OF QUALITY OF LIFE AND COMPLIANCE LEVEL OF PULMONARY TB PATIENTS AND BODY MASS INDEX IN POST-TRANSFERENCE TREATMENT ANTI TUBERCULOSIS IN HOSPITAL dr. M HAULUSSY AMBON
<p>Tuberculosis is the most common multi-systemic infection, with various types of manifestation and clinical description, lung is the most common location for developing tuberculosis disease (WHO, 2018). As many as 58% of cases of pulmonary TB occur in 3 (three) countries such as Southeast Asia. Based on profile Service Health Maluku Province, in 2021 number of invention Pulmonary TB cases Service Health (Health Office) of Maluku Province to end in 2019 it reached 6,379 people or by 0.35 percent of total population in the province the largest as 1.8 million people.This research uses a quantitative observational design with a cross sectional approach. With sample use systematic type Purposive sampling of 83 respondents. Data analysis using linear regression. Results test statistics show the most influential variable to level pulmonary tuberculosis treatment is a level indicator compliance with level significance sig 0.000. Based on the results of the Multiple Linear Regression analysis, it shows that with a p-value of 0.00 0 < 0.05, H 1 is accepted, so it is concluded that there is a simultaneous influence quality of life as well as the level of compliance of TB lung sufferers And body mass index on post treatment tb lung at DR M Haulussy Ambon Regional Hospital.</p>
ASSESSMENT OF ADHERENCE TO NEW ORAL ANTICOAGULANTS IN ATRIAL FIBRILLATION PATIENTS WITHIN THE OUTPATIENT REGISTRY PROFILE. PROSPECTIVE OBSERVATIONAL STUDY (ANTEY study)
<p><strong>Rationale</strong></p> <p>Prevention of stroke and thromboembolic complications in non-valvular atrial fibrillation is one of the most common indications for the use of all NOACs and warfarin in cardiology. The issue of regular intake of all OACs, i.e. the issue of adherence to anticoagulation therapy, is paramount for better treatment. The problem of assessment of different aspects of adherence to OACs in patients with atrial fibrillation within an outpatient registry is of current interest.</p> <p><strong>Primary</strong> <strong>Study</strong> <strong>Objectives</strong></p> <p>The aim of the present study is to assess adherence to therapy and factors associated with adherence in patients with CV disease complicated by non-valvular atrial fibrillation requiring OAC treatment within the outpatient registry PROFILE (prospective, observational study).</p> <ol> <li>Data collection in patients with non-valvular atrial fibrillation requiring OAC treatment included in the registry</li> <li>Evaluation of actual patient adherence to OACs</li> </ol> <p><strong>Secondary Study Objective(s)</strong></p> <ol> <li>Evaluation of potential patient adherence to OACs</li> <li>Determination of most significant factors associated with adherence to OACs in patients with non-valvular AF</li> <li>Validation of new original questionnaire</li> <li>Evaluation of doctor’s adherence to OAC prescription according to Guidelines (ESC). Management of atrial fibrillation,2016)</li> </ol> <p><strong>Material and methods</strong></p> <p>.The study included 201 patients with nonvalvular AF from the outpatient "PROFILE" registry, 118 (58,7%) males. The mean age was 71,1 ±8,7 years. The study protocol consisted of the inclusion visit (V0), 6-month follow-up visit (V1), and phone contact 1 year after V0 (follow-up, FU). In V0, all patients were prescribed one of the NOACs. At V1 doctors could recommend warfarin or another NOAC to patients, who have refused to take prescribed NOAC. Medical adherence was determined using the original questionnaire</p> <p><strong>Inclusion Criteria (detailed)</strong></p> <ul> <li>Men and women above 18 years of age who were included in the "PROFILE" registry by the start of the observational study</li> <li>Presence of written informed consent to participate in the study, fill in the study questionnaires, and have personal data analyzed</li> <li>Presence of any form of non-valvular atrial fibrillation with CHA<sub>2</sub>DS<sub>2</sub>-VASc score of ≥1 or patients with CHA<sub>2</sub>DS<sub>2</sub>-VASc score = 0, who are already taking OAK</li> </ul> <p><strong>Exclusion Criteria</strong></p> <p>Patients with high bleeding risk, including patients with:</p> <ul> <li>Congenital or acquired bleeding disorders</li> <li>Uncontrolled resistant hypertension</li> <li>Exacerbation of gastric and duodenal ulcer</li> <li>Vascular retinopathy</li> <li>Recent history of intracranial or intracerebral hemorrhage</li> <li>Pathology of the brain and spinal cord vessels</li> <li>Recent history of the brain, spinal cord, or eye surgery</li> <li>History of bronchiectasis or pulmonary hemorrhage</li> <li>A CHA<sub>2</sub>DS<sub>2</sub>-VASc score of 0 (OACs are not indicated)</li> <li>Pregnancy, lactation</li> <li>Planned surgery</li> <li>Known hypersensitivity to ingredients of medications used in the study</li> </ul> <p><strong>Visit schedule</strong></p> <p>Visit schedule</p> <p>Two visits at 6-month intervals are scheduled for each patient as part of routine clinical practice:</p> <p>Visit 0– visit at study entry:</p> <ul> <li>receiving written informed consent to participate in research from patients</li> <li>inclusion in the program</li> <li>assessment of inclusion and exclusion criteria</li> <li>verification of non-valvular atrial fibrillation diagnosis (according to medical documentation, confirming the history of atrial fibrillation: ECG, Holter monitoring, etc..)</li> <li>collecting information on received medication therapy, including OACs</li> <li>physical examination of patients (measurements of blood pressure, heart rate, height, weight, waist circumference)</li> <li>questioning of patients to determine potential and actual adherence to OACs</li> <li>computation of points on the scale CHA<sub>2</sub>DS<sub>2</sub>-VASc and HAS-BLED to determine the indications for the appointment of the OACs and the identification of an increased risk of bleeding</li> <li>to determine the INR in patients who agreed to replace the use of warfarin with one of the NOACs</li> <li>prescription of OACs according to routine clinical practice and official labels for these medications</li> <li>instructing patients (according to the specifically designed scheme) to regularly take prescribed medications, be aware of precautionary measures when taking OACs, telling them about the pros and cons of treatment with OACs</li> </ul> <p>Visit 1 – visit at 6 months after the Visit 0:</p> <ul> <li>collecting information on patients’ compliance with doctor’s recommendations</li> <li>collecting information on patients’ actual medication therapy</li> <li>collecting information on the safety of treatment with OACs (in case the patient has been taking them), recording all adverse events that occurred during the study period</li> <li>measurements of blood pressure, heart rate as a part of routine clinical practice</li> <li>questioning of patients to determine potential and actual adherence to OACs</li> </ul> <p>FU - follow-up calls to patients (one year)</p> <p>Phone contact to determine patient’s life status, possible (fatal and non-fatal complications of non-valvular atrial fibrillation) and fill (after receiving patient’s consent) the original questionnaire.</p> <p><strong>Primary Outcome</strong></p> <p>The proportion of complete, partial adherent and non-adherent patients according to the original questionnaire</p> <p><strong>Secondary Outcomes </strong></p> <ul> <li>The proportion of potentially adherent patients (according to the original questionnaire)</li> <li>Identification of baseline characteristics associated with adherence</li> <li>The proportion of doctors prescribed OAC according to guidelines.</li> </ul> <p><strong>Safety Outcomes </strong></p> <p>Adverse events and outcomes were recorded from the start of treatment with the OAC until the end of the observational study period. The doctor evaluated the severity of adverse events and outcomes if necessary took measures for their medical treatment according to current clinical practice.</p> <p> </p> <p> </p>
Recognition of symptoms, mitigating mechanisms and self-care experiences of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia
<p>Compliance of patients with self-care practices is the mainstay of measures to manage diabetes. Thus, the study explored self-care practices of type 2 diabetes patients receiving insulin treatment in North-East Ethiopia.</p>
Dataset on preferences of rheumatic patients preferences towards EQ-5D-5L health states in Spain
<p>The dataset includes preferences of rheumatic patients towards EQ-5D-5L health states in Spain.</p>
Weight-loss & metabolite data of cachetic cancer patients over multiple time points
<p>This dataset contains weight-loss data and metabolite measurements from cachetic cancer patients. This data set is part of the publication "Biomarkers related to fatty acid oxidative capacity are predictive for continued weight loss in cachectic cancer patients" by Catanese et al., 2021 (<a href="https://doi.org/10.1002/jcsm.12817">LINK</a>). Data were collected over a extended time period starting from the day of hospital admission. Up to seven time points are available for individual patients. A metabolite profile consisting of amino acids and acylcarnitines measured via tandem MS/MS from both blood plasma and dried blood spots is available for each patient at each time point. Additional available phenotypes are the age, sex and historic weight of each patient. </p> <p>Abbreviations:</p> <ul> <li>HW - Historical weight</li> <li>TP - Time point</li> <li>WL - Weight loss</li> <li>DBS - Dried blood spot</li> <li>Metabolite abbreviations are explained in Supplementary Table S5 of the corresponding publication</li> </ul>
Forensic examination of Wuhan Institute of Virology COVID-19 patient specimens from December 2019 reveals gross contamination of the laboratory, including undisclosed research on a lethal BSL-4 pathogen
<p>A Zenodo pre-print entitled, “CONTAMINATION OR VACCINE RESEARCH? RNA Sequencing data of early COVID-19 patient samples show abnormal presence of vectorized H7N9 hemagglutinin segment” has been published. In the paper, a forensic examination of the sequencing data from five COVID-19 bronchial lavage patient specimens reveals that the laboratory at the Wuhan Institute of Virology (WIV) was contaminated with a wide range of viruses, including the Nipah virus, a BSL-4 pathogen with a lethality of 50% to 92%. A video summary of the paper can be found here.</p> <p>The highlights of the paper are:</p> <ul> <li>Five patient specimens were sequenced by the WIV in December 2019 and were part of an early report on SARS-CoV-2 published by Dr. Zhengli Shi and colleagues (Nature 579, 270–273 (2020). This paper has been viewed over one million times, making it one of the most highly read paper on the pandemic virus.</li> <li>The most abundant contaminant is an undisclosed H7N9 influenza vaccine, which in one specimen is over six-times as abundant as SARS-CoV-2.</li> <li>The Nipah virus gene sequences were found in infectious cloning vectors of the type used for genetic manipulation.</li> <li>Nineteen other contaminants, including Japanese Encephalitis virus, HIV, human T-cell leukemia virus, and hepatitis delta virus were found.</li> </ul> <p>It is important to investigate why the Wuhan Institute of Virology was extensively contaminated in December 2019 as well as learn more about the undisclosed Influenza Vaccine research and Nipah virus cloning experiments. </p> <p>The Zenodo pre-print can be found here: https://zenodo.org/record/5067706#.YPtyyI4zbOg</p>
Subjective sleep quality and sleep architecture in patients with migraine: a meta-analysis
<p>Objectives: Sleep disturbance is often associated with migraine. However, there is a paucity of research investigating objective and subjective measures of sleep in migraine patients. This meta-analysis aims to determine whether there are differences in subjective sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI), and objective sleep physiology measured using polysomnography between adult and pediatric patients, and healthy controls.</p> <p>Methods: This review was pre-registered on PROSPERO (CRD42020209325). A systematic search of five databases (Embase, MEDLINE®, Global Health, APA PsycINFO, APA PsycArticles, last searched: 12/17/2020) was conducted to find case-controlled studies which measured polysomnography and/or PSQI in patients with migraine. Pregnant participants and those with other headache disorders were excluded. Effect sizes (Hedges' <i>g</i>) were entered into a random effects model meta-analysis. Study quality was evaluated with the Newcastle Ottawa Scale, and publication bias with Egger's regression test.</p> <p>Results: 32 studies were eligible, of which 21 measured PSQI and/MIDAS in adults, 6 measured PSG in adults and 5 in children. The overall mean study quality score was 5/9, and this did not moderate any of the results, and there was no risk of publication bias. Overall, adults with migraine had higher PSQI scores than healthy controls (<i>g</i>=0.75, <i>p</i> < .001, 95% confidence interval [95%CI]: 0.54 - 0.96). This effect was larger in those with chronic rather than episodic condition (<i>g</i>=1.03, <i>p </i>< .001, 95%CI: 0.37 - 1.01, <i>g </i>= 0.63, <i>p </i>< .001, 95%CI: 0.38 - 0.88 respectively). For polysomnographic studies, adults and children with migraine displayed a lower percentage of REM sleep (<i>g</i>=-0.22, <i>p</i> = 0.017, 95%CI: -0.41 - -0.04, <i>g</i> = -0.71, <i>p</i> = 0.025, 95%CI: -1.34 - -0.10 respectively) than controls. Pediatric patients displayed less total sleep time (<i>g</i>=-1.37, <i>p </i>= 0.039, 95%CI: -2.66 - -0.10), more wake (<i>g</i>=0.52, <i>p </i>< .001, 95%CI: 0.08 – 0.79) and shorter sleep onset latency (<i>g</i>=-0.37, <i>p </i>< .001, 95%CI: -0.54 - -0.21) than controls.</p> <p>Discussion: People with migraine have significantly poorer subjective sleep quality and altered sleep physiology compared to healthy individuals. Further longitudinal empirical studies are required to enhance our understanding of this relationship.</p>
An Open-access Database for the Evaluation of Cardio-mechanical Signals from Patients with Valvular Heart Diseases
<p>This dataset is for the paper "An Open-access Database for the Evaluation of Cardio-mechanical Signals from Patients with Valvular Heart Diseases" published to Frontiers in Physiology. Please cite "Yang C, Fan F, Aranoff N, Green P, Li Y, Liu C and Tavassolian N (2021) An Open-Access Database for the Evaluation of Cardio-Mechanical Signals From Patients With Valvular Heart Diseases.<br> Front. Physiol. 12:750221. doi: 10.3389/fphys.2021.750221" when using this database.</p> <p>The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the USA, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases, such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.