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.
67
datasets available to search
ShareScore release 0.9.0
Dataset results
67 results for “cyclists”
Sweat Rate Measurement With a Sensor (Wearable) in Different Climatic Conditions With Road Cyclists.
ClinicalTrials.gov study NCT06308432. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Masked Emo Cyclist - Stay Safe
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1677444519.1174.jpg">https://4dcity.org/imgupload/1677444519.1174.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/51252024757_afa20609f1_m.jpg">https://live.staticflickr.com/65535/51252024757_afa20609f1_m.jpg</a>
Dataset Soft sensor development for cyclist power prediction using Deep Learning
Open the record for dataset details and reuse information.
Effect of 4 Weeks Fish Oil Supplementation on Cycling Performance in Healthy Male Cyclists
ClinicalTrials.gov study NCT03205241. IPD Sharing: NO. Countries: 0. Publications: 0.
The Effect of Phosphatidylserine on Time Trial Performance in Trained Male Cyclists
ClinicalTrials.gov study NCT04967404. IPD Sharing: NO. Countries: 0. Publications: 0.
Data set from Martins de Abreu R, Porta A, Rehder-Santos P, Cairo B, Donisete da Silva C, De Favari Signini É, Sakaguchi CA, Catai AM. Effects of inspiratory muscle-training intensity on cardiovascular control in amateur cyclists. Am J Physiol Regul Integr Comp Physiol. 2019 Dec 1;317(6):R891-R902. doi: 10.1152/ajpregu.00167.2019. Epub 2019 Oct 9. PMID: 31596110.
<p>Data set from Martins de Abreu R, Porta A, Rehder-Santos P, Cairo B, Donisete da Silva C, De Favari Signini É, Sakaguchi CA, Catai AM. Effects of inspiratory muscle-training intensity on cardiovascular control in amateur cyclists. Am J Physiol Regul Integr Comp Physiol. 2019 Dec 1;317(6):R891-R902. doi: 10.1152/ajpregu.00167.2019. Epub 2019 Oct 9. PMID: 31596110.</p> <p>This is the abstract:</p> <p>Chronic effects of inspiratory muscle training (IMT) on autonomic function and baroreflex regulation are poorly studied. This study aims at evaluating chronic effects of different IMT intensities on cardiovascular control in amateur cyclists. A longitudinal, randomized, controlled blind study was performed on 30 recreational male cyclists undergoing IMT for 11 wk. Participants were randomly allocated into sham-trained group (SHAM, <em>n</em> = 9), trained group at 60% of the maximal inspiratory pressure (MIP60, <em>n</em> = 10), and trained group at critical inspiratory pressure (CIP, <em>n</em> = 11). Electrocardiogram, finger arterial pressure, and respiratory movements were recorded before (PRE) and after (POST) training at rest in supine position (REST) and during active standing (STAND). From the beat-to-beat series of heart period (HP) and systolic arterial pressure (SAP), we computed time domain markers, frequency domain indexes in the low frequency (0.04-0.15 Hz) and high frequency (HF, 0.15-0.4 Hz) bands, an entropy-based complexity index (CI), and baroreflex markers estimated from spontaneous HP-SAP sequences. Compared with SHAM, the positive effect of MIP60 over the HP series led to the HF power increase during REST (PRE: 521.2 ± 447.5 ms<sup>2</sup>; POST: 1,161 ± 878.9 ms<sup>2</sup>) and the CI rise during STAND (PRE: 0.82 ± 0.18; POST: 0.97 ± 0.13). Conversely, the negative effect of CIP took the form of the decreased HP mean during STAND (PRE: 791 ± 71 ms; POST: 737 ± 95 ms). No effect of IMT was visible over SAP and baroreflex markers. These findings suggest that moderate-intensity IMT might be beneficial when the goal is to limit cardiac sympathetic hyperactivity at REST and/or in response to STAND.</p> <p><strong> </strong></p>
Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists
<p>Cairo B, de Abreu RM, Bari V, Gelpi F, De Maria B, Rehder-Santos P, Sakaguchi CA, da Silva CD, De Favari Signini É, Catai AM, Porta A. Optimizing phase variability threshold for automated synchrogram analysis of cardiorespiratory interactions in amateur cyclists. Philos Trans A Math Phys Eng Sci. 2021 Dec 13;379(2212):20200251. doi: 10.1098/rsta.2020.0251. Epub 2021 Oct 25. PMID: 34689616.</p> <p>Abstract</p> <p>We propose a procedure suitable for automated synchrogram analysis for setting the threshold below which phase variability between two marker event series is of such a negligible amount that the null hypothesis of phase desynchronization can be rejected. The procedure exploits the principle of maximizing the likelihood of detecting phase synchronization epochs and it is grounded on a surrogate data approach testing the null hypothesis of phase uncoupling. The approach was applied to assess cardiorespiratory phase interactions between heartbeat and inspiratory onset in amateur cyclists before and after 11-week inspiratory muscle training (IMT) at different intensities and compared to a more traditional approach to set phase variability threshold. The proposed procedure was able to detect the decrease in cardiorespiratory phase locking strength during vagal withdrawal induced by the modification of posture from supine to standing. IMT had very limited effects on cardiorespiratory phase synchronization strength and this result held regardless of the training intensity. In amateur athletes training, the inspiratory muscles did not limit the decrease in cardiorespiratory phase synchronization observed in the upright position as a likely consequence of the modest impact of this respiratory exercise, regardless of its intensity, on cardiac vagal control. This article is part of the theme issue 'Advanced computation in cardiovascular physiology: new challenges and opportunities'.</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.