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.
1,742
datasets available to search
ShareScore release 0.9.0
Dataset results
1,742 results for “Activity data”
Characterization of novel zinc finger protein ZNF414 DNA binding and gene regulatory activity by integrative analysis of ChIP-exo, ATAC-seq and RNA-seq data
GEO Series GSE153779. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Data set from the article Ko JM, White KS, Kovacs AH, Tecson KM, Apers S, Luyckx K, Thomet C, Budts W, Enomoto J, Sluman MA, Wang JK, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, Callus E, Kutty S, Moons P, Cedars AM; APPROACH-IS consortium and International Society for Adult Congenital Heart Disease (ISACHD). Differential impact of physical activity type on depression in adults with congenital heart disease: A multi-center international study. J Psychosom Res. 2019 Sep;124:109762. doi: 10.1016/j.jpsychores.2019.109762. Epub 2019 Jul 5. PMID: 31443808.
<p>Data set from the article Ko JM, White KS, Kovacs AH, Tecson KM, Apers S, Luyckx K, Thomet C, Budts W, Enomoto J, Sluman MA, Wang JK, Jackson JL, Khairy P, Cook SC, Chidambarathanu S, Alday L, Eriksen K, Dellborg M, Berghammer M, Johansson B, Mackie AS, Menahem S, Caruana M, Veldtman G, Soufi A, Fernandes SM, Callus E, Kutty S, Moons P, Cedars AM; APPROACH-IS consortium and International Society for Adult Congenital Heart Disease (ISACHD). Differential impact of physical activity type on depression in adults with congenital heart disease: A multi-center international study. J Psychosom Res. 2019 Sep;124:109762. doi: 10.1016/j.jpsychores.2019.109762. Epub 2019 Jul 5. PMID: 31443808.</p> <p> </p> <p>This is the abstract of the article:</p> <p><strong>Objective: </strong>This study aimed to examine the association between physical activity (PA) and depression in a large international cohort of adults with congenital heart disease (ACHD) as data about the differential impact of PA type on depression in this population are lacking.</p> <p><strong>Methods: </strong>In 2018, we conducted a cross-sectional assessment of 3908 ACHD recruited from 24 ACHD-specialized centers in 15 countries between April 2013 to March 2015. The Hospital Anxiety and Depression Scale was used to assess self-reported depressive symptoms and the Health-Behavior Scale-Congenital Heart Disease was used to collect PA information. Cochran-Armitage tests were performed to assess trends between depressive symptom levels and PA participation. Chi-Square and Wilcoxon Rank Sum tests were utilized to examine relations between depressive symptom levels and patient characteristics. Stepwise multivariable models were then constructed to understand the independent impact of PA on depressive symptoms.</p> <p><strong>Results: </strong>The overall prevalence of elevated depressive symptoms in this sample was 12% with significant differences in rates between countries (p < .001). Physically active individuals were less likely to be depressed than those who were sedentary. Of the 2 PA domains examined, sport participation rather than active commute was significantly associated with reduced symptoms of depression. After adjustment in multivariable analysis, sport participation was still significantly associated with 38% decreased probability of depressive symptoms (p < .001).</p> <p><strong>Conclusions: </strong>Sport participation is independently associated with reduced depressive symptoms. The development and promotion of sport-related exercise prescriptions uniquely designed for ACHD may improve depression status in this unique population.</p> <p> </p>
Data related to the article "N-Acetyl-Cysteine Regenerates Albumin Cys34 by a Thiol-Disulfide Breaking Mechanism: An Explanation of Its Extracellular Antioxidant Activity"
<p>This record contains raw data related to the article “N-Acetyl-Cysteine Regenerates Albumin Cys34 by a Thiol-Disulfide Breaking Mechanism: An Explanation of Its Extracellular Antioxidant Activity”</p> <p><strong>Abstract</strong></p> <p>In the present paper, the extracellular antioxidant activity of N-acetyl-cysteine (NAC) is explained by considering its ability to regenerate the free form of albumin Cys34 by breaking the disulfide bond of the cysteinylated form (HSA-Cys). NAC’s capability to regenerate albumin Cys34 (HSA-SH) was studied by MS intact protein analysis in human plasma and in a concentration range of NAC easily achievable after oral and i.v. administration (5–50 µg/mL). NAC dose-dependently broke the HSA-Cys bond to form the dimer NAC-Cys thus regenerating Cys34, whose reduced state was maintained for at least 120 min. Cys was faster in restoring Cys34, according to the reaction constant<br> determined with the glutathione disulfide (GSSG) reaction, but after 60 min the mixed disulfide HSA-Cys turned back due to the reaction of the dimer Cys-Cys with Cys34. The explanation for the different rate exchanges between Cys-Cys and Cys-NAC with Cys34 was given by molecular modelling studies. Finally, the Cys34 regenerating effect of NAC was related to its ability to improve the total antioxidant capacity of plasma (TRAP assay). The results well indicate that NAC greatly increases the plasma antioxidant activity and this effect is not reached by a direct effect but through the regenerating effect of Cys34.</p>
Brain activity mapping data
<p><strong><span>Image acquisition and T-score BAM generation</span></strong></p>
Wearable Activity Tracker Data
<p><strong>Wearable Activity Tracker Data</strong></p> <p>SQLite database of wearable activity tracker users (<strong>N=88</strong>) data collected for <strong>4 months</strong>.</p> <p>The data has been collected between <strong>May 15th 2020</strong> and <strong>September 15th 2020</strong> in Switzerland, and is part of the data originally used in <a href="https://www.usenix.org/conference/usenixsecurity23/presentation/zufferey">this study</a>.</p> <p>The data was collected with a<strong> Fibit Inspire HR.</strong></p> <ul> <li><strong>Age of participants</strong>: min. age: 18 y.o., max age: 31 y.o., mean age: 21.1 y.o., std age: 2.2 y.o.</li> <li><strong>Gender of participants</strong>: women: 67%, men: 33%</li> </ul> <p>For each of the 88 users, we collected:</p> <ul> <li>step count for every minute</li> <li>heart rate for every minute</li> <li>resting heart rate</li> <li>sleep data <ul> <li>fall asleep time</li> <li>duration</li> <li>sleep quality</li> <li>restless times</li> <li>restless duration</li> </ul> </li> <li>all automatically detected activities <ul> <li>type (e.g., walking, swimming)</li> <li>duration</li> <li>time</li> </ul> </li> <li>gender (as declared in the Fitbit profile)</li> </ul>
Activity and intensity data for UWB radar classification
<p>The task of automated activity classification has previously attracted various avenues of research, and has inspired different methodologies in solving the problem. We outline an unobtrusive method of detecting and classifying different activities and exercises using a 24 GHz UWB radar transceiver and a DNN. The radar transceiver module is used to record the data of a single individual carrying out 6 different activities within a closed environment, and the subsequently processed radar signals are used to train a CNN, which is used to classify the human activities and the intensity of the activities. </p> <p>Using a custom-designed experimental set-up, we measure 500 signal samples consisting of 6 different activities from each of the 7 participants using the UWB radar system. The dataset was recorded in a controlled environment and background noise was recorded prior to the experimentation and subsequently post-processed from the measurements. We define the methods used to record the activity data using the radar transceiver, and the techniques used to process the raw radar signals in this section using the denoising filter selection method.</p>
Expression data from wildtype and beta-catenin activated cultured fetal mouse kidneys.
GEO Series GSE63415. Mus musculus. 12 samples. Type: Expression profiling by array.
SPECtre: a spectral coherence-based classifier of actively translated transcripts from ribosome profiling sequence data
GEO Series GSE75947. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Expression data from colonic mucosal biopsies from healthy controls and patients with active ulcerative colitis
GEO Series GSE65114. Homo sapiens. 28 samples. Type: Expression profiling by array.
IFNalpha kinoid induces neutralizing anti-IFNalpha antibodies that decrease the expression of IFN-induced and B cell activation associated transcripts: analysis of extended follow-up data from the IFN
GEO Series GSE72798. Homo sapiens. 82 samples. Type: Expression profiling by array.
Fuzzy Spatiotemporal Data Mining to Activity Recognition in Smart Homes
A primary goal to design smart homes is to provide automatic assistance for the residents to make them able to live independently at home. Activity recognition is done to achieve the mentioned goal and then to provide assistance, we would need three sort of information. First, we would need to know the goal of the resident, then the pattern that the resident should obey to achieve its goal and third sort of needed information is the deviations from the previously known patterns. In the presented paper, spatiotemporal aspects of daily activities are surveyed to mine the patterns of activities realized by the smart homes residents. Necessary data to model the spatiotemporal aspects of daily activities is provided by embedded sensors in the smart home. We believe that to accomplish daily activities, specific objects are applied and by analyzing the movement of objects and resident(s), we would obtain valuable information to model the daily activities of the Smart Home’s residents.
Data driven modeling of the simultaneous activities in ambient environments
Resident of a smart home, who may be an old person or an Alzheimer patient needing permanent assistance, actuates the world by realizing activities, which are observed through the embedded sensors of smart home. Typically, this person may sometimes forget completion of the activities; may realize the activities of daily living incorrectly, and may enter to dangerous states. In order to provide automatic assistance for the smart home resident through the embedded electronically controllable actuators and make the smart home resident able to live independently at home we propose to calculate a possibilistic logical space for correct realization of activities, which may be represented in form of a multivariable problem. Regardless from the physical entity (modality and location) of the intelligence source and the quantity of individuals who perform the activities; per each possible goal or activity, we consider a unique source of intelligence (for example a social mind) who directs the order of fuzzy events that occur in the ambient environment, then the plan behind world actuations is modeled applying extensions of the fuzzy logic. The main key point that we deal with is the analysis of the observations in order to make inferences about possible simultaneous activities that may be planned and realized by one or more individuals; so that we can reason in the cases the parallel activities are interrupted.
Data set from the article Holbein CE, Veldtman GR, Moons P, Kovacs AH, Luyckx K, Apers S, Chidambarathanu S, Soufi A, Eriksen K, Jackson JL, Enomoto J, Fernandes SM, Johansson B, Alday L, Dellborg M, Berghammer M, Menahem S, Caruana M, Kutty S, Mackie AS, Thomet C, Budts W, White K, Sluman MA, Callus E, Cook SC, Khairy P, Cedars A; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Perceived Health Mediates Effects of Physical Activity on Quality of Life in Patients With a Fontan Circulation. Am J Cardiol. 2019 Jul 1;124(1):144-150. doi: 10.1016/j.amjcard.2019.03.039. Epub 2019 Apr 10. PMID: 31030969.
<p>Data set from the article Holbein CE, Veldtman GR, Moons P, Kovacs AH, Luyckx K, Apers S, Chidambarathanu S, Soufi A, Eriksen K, Jackson JL, Enomoto J, Fernandes SM, Johansson B, Alday L, Dellborg M, Berghammer M, Menahem S, Caruana M, Kutty S, Mackie AS, Thomet C, Budts W, White K, Sluman MA, Callus E, Cook SC, Khairy P, Cedars A; APPROACH-IS consortium and the International Society for Adult Congenital Heart Disease (ISACHD). Perceived Health Mediates Effects of Physical Activity on Quality of Life in Patients With a Fontan Circulation. Am J Cardiol. 2019 Jul 1;124(1):144-150. doi: 10.1016/j.amjcard.2019.03.039. Epub 2019 Apr 10. PMID: 31030969.</p> <p> </p> <p>This is the abstract:</p> <p>Patients with a Fontan circulation are at risk of a sedentary lifestyle. Given the direct relationship between physical activity and health, promotion of physical activity has the potential to improve outcomes, including quality of life (QOL). This study aimed to describe self-reported physical activity levels in adult Fontan patients and examine associations between physical activity, perceived health status and QOL. The sample consisted of 177 Fontan patients (M<sub>age</sub> = 27.5 ± 7.6 years, 52% male) who reported their physical activity, perceived health status, and QOL as part of the cross-sectional Assessment of Patterns of Patient-Reported Outcomes in Adults with Congenital Heart disease - International Study. Descriptive statistics and univariate analyses of variance with planned contrasts were computed to describe physical activity characteristics. Mediation analyses tested whether perceived health status variables mediated the association between physical activity and QOL. Forty-six percent of patients were sedentary while only 40% met international physical activity guidelines. Higher physical activity was associated with younger age, lower NYHA class, higher perceived general health, and greater QOL. Patients who commuted by walking and engaged in sports reported better perceived health and QOL. Mediation analyses revealed that perceived general health but not NYHA functional class mediated the association between physical activity and QOL (αβ = 0.22, 95% confidence interval = 0.04 to 0.49). In conclusion, Fontan patients likely benefit from regular physical activity, having both higher perceived general health and functional capacity; greater perceived health status may contribute to enhanced QOL. In conclusion, these data support the pivotal role of regular physical activity for Fontan patients.</p>
mmWave Radar and RGB-D Camera Sensor Data for Human Activity Recognition(2)
<p>This is a supplementary dataset, which is linked to https://zenodo.org/record/7088054#.YyVF3ehBwQ8. The dataset is composed of corner radar point cloud data and front radar point cloud data collected from environments existing obstacles between volunteers and sensors. </p>
Source data for neurite outgrowth assay for the: NrCAM is a marker for substrate-selective activation of ADAM10 in Alzheimer's disease
<p><strong>Neurite outgrowth assay:</strong> 1x10<sup>5</sup> neurons were plated into XONA-microfluidic chambers (standard neuron device, SND450) that had been placed on PDL coated coverslips, according to the manufacturers’ instructions. After 4h the plated cells were infected with the respective viruses (scr. shRNA-EGFP control, or NrCAM shRNA-EGFP, 1:1000). Cells were kept until DIV3 at 37°C and 5% CO<sub>2</sub>, and then the first photomicrographs of the fluorescent neurons were taken with a Leica DM6000 inverted microscope. The images covered the whole channel area in the middle of the respective chambers. Afterwards, the neurons were treated with GI254023x (5 µM), or vehicle and kept at 37°C and 5% CO<sub>2</sub> for 24h. At DIV4, a second set of photomicrographs of the same areas were taken and analyzed for length differences of single neurites (length in mm at 24h-0h) with Leica LASX software. Only neurites that had already entered and not yet left the channels on the other side at the timepoint 0h were used for the calculation. When neurites were separating after leaving the main channel the longest process was quantified.</p> <p> </p>
Data and R code for "Network analysis of workshop activities reveals increasing transdisciplinarity of German biodiversity research community"
<p>This is the dataset and all files needed to re-run the R analysis in " Network analysis of workshop activities reveals increasing transdisciplinarity of German biodiversity research community ".</p>
Data set for "Accretion cycles, structural evolution, and thrust activity in accretionary wedges with various décollement configurations: Insights from sandbox analog modeling"
<p>This data set is associated with the paper, ``Accretion cycles, structural evolution, and thrust activity in accretionary wedges with various décollement configurations: Insights from sandbox analog modeling'' by Atsushi Noda, Fabien Graveleau, Cesar Witt, Frank Chanier, and Bruno Vendeville. It is currently available on doi:PREPRINT and to be submitted to the Journal of Geophysical Research, Solid Earth. When citing this data release, please cite as well the paper.</p> <p>Contact: Atsushi Noda, a.noda@aist.go.jp</p> <p>The provided zip file contains the data below.</p> <p>DIC ---- image: Photo images used for DIC analysis<br> |<br> |-- ROI: Image files of "Region of interest" for DIC analysis<br> |<br> |-- matdata: MATLAB data files produced by Ncorr DIC analysis<br> |<br> |-- plot: Plots produced from the MATLAB data files<br> |<br> |-- movie: Images of plots of DIC analysis<br> |<br> |-- data: Output data generated by python scripts</p> <p>figure ---- Output pdf files produced by python scripts</p> <p>Geometry ---- plot: plots for geometrical parameters<br> |<br> |-- qgis: geometrical data files (shapefile format)</p> <p>RAW ---- image: RAW photo images for all models<br> |<br> |-- movies: Images of photos for all models</p> <p>script ---- ncorr_plot_eng.py: To plot the kinematic parameters from MATLAB data file<br> |<br> |-- ncorr_plot_all.py: To plot summary diagrams for the kinematic parameters<br> |<br> |-- envelope.py: To plot theoretical taper angles<br> |<br> |-- comp_wux.py: To calculate and plot strain ratios<br> |<br> |-- plot_param.py: To plot geometrical parameters<br> |<br> |-- calc_strength.py: To calculate and plot the wedge/detachment strengths <br> </p>
Row data of the publication: Can beta-blockers influence regular daily physical activity?
<p>Raw data</p> <p>BACKGROUND: In hypertension, beta-blockers have a high rate of nonadherence to treatment likely because of fatigue. METHODS: We evaluate daily physical activity and maximal exercise performance in 56 patients with hypertension (grades I-II), with and without beta-blockers (bisoprolol 10 mg or atenolol 100 mg) added to standard treatment; 48 patients completed the study. Study tests were performed after 8 weeks of antihypertensive therapy without beta blockers and after the following 8 weeks with beta-blockers. RESULTS: No significant differences between beta-blockers were observed. At office measurement, beta-blockers decreased heart rate (HR) from 78 +/- 9 to 62 +/- 7 bpm (P < 0.01) and SBP from 133 +/- 13 to 125 +/- 12 mmHg (P < 0.01). No significant changes were observed for DBP. Conversely, at ambulatory pressure monitoring DBP but not SBP decreased with beta-blockers (mean-24-h DBP 77 +/- 8 vs. 74 +/- 7 mmHg, P < 0.01). An overall reduction of daily activities and of estimated kilocalories consumption was observed as measured by a portable armband device. Of note, time with activity more than 3 METS was reduced by beta-blockers from 148.1 (83-201) to 117.9 (82-189) min (P < 0.01). Cardiopulmonary exercise (CPE) showed a preserved exercise performance unaffected by beta-blockers. CONCLUSION: In hypertension, beta-blocker treatment is associated to reduction of daily physical activity but not of maximal exercise performance.</p>
Supporting data for Macrophage phagocytosis of SARS-CoV-2 infected cells mediates potent plasmacytoid dendritic cell activation
<p>Supporting data for the presented data of the study entitled "Macrophage phagocytosis of SARS-CoV-2 infected cells mediates potent plasmacytoid dendritic cell activation"</p>
Data set: Temporality matters: Daytime boating alters predation activity of the invasive nocturnal killer shrimp
<p>Here, the script and data for compiling functional response of D.villosus in 2 conditions of noise pollution</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.