Data · dataset · 2025
Assessing changes in running kinematics at different intensities: a case study
Listed in Riga Stradins University dataverse
The dataset in this research publication focuses on analyzing changes in running kinematics at different intensities in a controlled case study involving three male runners with similar athletic capabilities.
Description
The purpose is to evaluate individual variations in kinematic parameters such as step length, step frequency, contact time, and flight time, as well as physiological responses like heart rate, across a range of running velocities (12–20 km/h).
The dataset includes: 1. Kinematic Data: Step length, step frequency, contact time, and flight time, collected separately for both legs during treadmill runs. 2. Physiological Data: Heart rate was measured continuously during the whole running time.
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Methods of Collection: Running Trials: Nine 1-minute trials at randomized velocities on a motorized treadmill with a leveled surface. Measurement Tool: Kinematics: OptoJump Next optical system for step and time measurements at a 1 kHz sampling rate. Heart Rate: Polar Vantage V heart rate monitor.
Links
Where it is published
- Dataverse dataset page dataverse.rsu.lv/dataset.xhtml?persistentId=doi%3A10.48510%2FFK2%2FOT42PP ↗
landing page · from dataverse rsu lv
- DOI doi.org/10.48510/fk2/ot42pp ↗
DOI / persistent id · from dataverse rsu lv
Catalogue records · 1
- Dataverse API dataverse.rsu.lv/api/datasets/:persistentId/?persistentId=doi%3A10.48510%2FFK2%… ↗
metadata API · from dataverse rsu lv
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Heart 75% · Sports science and exercise 72%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Riga Stradins University dataverse | doi:10.48510/FK2/OT42PP | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[anatomy].local:anatomy:heart | enrichment · dataverse rsu lv | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:4207 | enrichment · dataverse rsu lv | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /subjects |
| created_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| description | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /description |
| publication_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| title | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | /name |
| updated_date | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 | |
| version_label | source · dataverse rsu lv | connector:dataverse_rsu_lv@1.0.0 |