Over ** million people in the United States went running or jogging at least once in 2024. This figure also represented an increase of roughly 5.7 percent over the previous year.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Includes the raw IMU data for 20 participants performing seven different running exercises each.
20 participants: 16 m, 4 f, 16 to 31 yo, healthy, do sports regularly Seven exercises: Carioca left, carioca right, heel-to-butt, high-knee running, sideskips left, sideskips right, regular running Four IMUs: accelerometer + gyroscope each, two at wrists, two at ankles Ten seconds per recording under supervision One .json file per recording with sensor values and timestamps
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Running Dataset is a dataset for object detection tasks - it contains Running annotations for 2,064 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The data set comprises raw and processed lower extremity gait kinematics and kinetics signals of 39 subjects in different file formats (c3d and txt). A file of metadata (in txt and xls formats), including demographics, running characteristics, foot-strike patterns, and muscle strength and flexibility measurements is provided. In addition, a model file (mdh) and a pipeline file (v3s) for the Visual 3D software program are also provided. The data were collected using a three-dimensional (3D) motion-capture system and an instrumented treadmill while the subjects ran at 2.5 m/s, 3.5 m/s, and 4.5 m/s wearing standard neutral shoes.
This statistic shows the number of youth participants in running in the United States from 2006 to 2020. According to the source, the number of youth participants (aged between six and 17 years) in running amounted to approximately 10.9 million in 2020.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data accompanying manuscript Data of 7 runners during a Marathon is provided to accompany the manuscript “Quantifying and correcting for speed and stride frequency effects on running mechanics in fatiguing outdoor running”. For each runner the following files are provided: - Global Navigation Satellite System (GNSS) running speed - Inertial Measurement unit (IMU) running speed - Acceleration of foot sensor - Acceleration of lower leg/tibia sensor - Knee angles GNSS running speed GNSS running speed during the full marathon was based on different sports watches. Sampling frequencies between sports watches differed but was on average 0.7 (0.4) Hz. In line with the manuscript, missing latitude-longitude data was linearly interpolated before speed was computed as the distance between two latitude-longitude coordinates based on the Haversine formula. GNSS speeds above 20 km/h were deemed extremely unlikely and replaced with spline interpolation. GNSS speed was then resampled to 240 Hz to match the sampling frequency of the IMUs. Note that GNSS and IMU data are not yet time synchronized! - Filename: SubXX_gnss_speed.csv - Size of matrix: [1xN] IMU running speed IMU running speed was solely used for time synchronization of the GNSS running speed with IMU data. The scaled biomechanical model (as described in the manuscript) provided the velocity of the pelvis segment at 240 Hz. Pelvis IMU speed was then computed as the resultant pelvis IMU velocity. - Filename: SubXX_imu_speed.csv - Size of matrix: [Nx1] Acceleration of foot sensor Accelerations of the right foot were used for initial contact detection in the manuscript. 3D accelerations of a sensor on the right foot are provided in a sensor-fixed coordinate system. The sensor was placed on the midfoot within the shoes, the sensor was aligned with the long axis of the foot. The positive axis of the first dimension points towards the center of the ankle joint. The positive axis of the second dimension points to the right. The positive axis of the third dimensions is directed approximately upwards. - Filename: SubXX_rfoot_acc.csv - Size of matrix: [Nx3] Acceleration of lower leg/tibia sensor Accelerations of the lower leg were one of the quantities of interest in the manuscript. 1D acceleration of a sensor on the right lower leg at 240 Hz is provided in a sensor-fixed coordinate system. The sensor was aligned with the axial direction of the tibia. - Filename: SubXX_rtibia_acc.csv - Size of matrix: [Nx1] Knee angles Knee flexion/extension angles were one of the quantities of interest in the manuscript. Knee flexion/extension angles of the right lower leg at 240 Hz are provided. Knee flexion angles were defined 0° when the leg was fully extended during neutral standing. Flexion resulted in positive knee flexion angles. - Filename: SubXX_rknee_angle.csv - Size of matrix: [Nx1]
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Project aims to investigate congestion within running events. On this record available and open are; race director surveys, runner surveys, post running event surveys, excel document of flow rate, density and raw timing data from running events.
Data collected and not publicly available includes focus group meeting audio recordings and transcriptions (3 meetings 1hr in duration each) and video footage of running event start lines (approximately 2 hrs of video footage).
This statistic shows the number of participants in trail running in the United States from 2006 to 2017. In 2017, there were approximately 9.15 million participants in trail running in the U.S., up from 8.58 million the previous year.
The statistic displays the result of a survey on running and jogging participation of pupils in primary and secondary schools in any form or setting in Wales 2018, by gender. In 2018, it was found that 68.6 percent of female respondents from secondary schools stated that they participated in some form of running or jogging in the last year.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
This dataset was created by Joanna521
Released under Apache 2.0
The RUN dataset is based on OpenStreetMap (OSM). The map contains rich layers and an abundance of entities of different types. Each entity is complex and can contain (at least) four labels: name, type, is building=y/n, and house number. An entity can spread over several tiles. As the maps do not overlap, only very few entities are shared among them. The RUN dataset aligns NL navigation instructions to coordinates of their corresponding route on the OSM map.
Comprehensive dataset of 3,288 Running stores in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.
According to a survey conducted in October 2021 in Japan, the share of jogging participants amounted to 11.1 percent. This included people who ran marathon distances or trained for marathons. Participation rates remained unfazed by the advent of the COVID-19 pandemic.
MIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
🚀 This dataset is a snapshot of my personal running journey, powered by the Nike Run Club app. What started as a simple fitness goal turned into a game-changing habit that I couldn't stop chasing! 🏃♂️💨
The app’s milestones and badges transformed each run into a new challenge, giving me that extra push to break my limits and build more endurance with every session. 🏅 With every new level, I felt that spark of excitement to keep improving and chasing the next achievement. Each badge earned was a victory — and a motivation to level up again! 🎯
This dataset isn’t just numbers, it's a testament to the power of gamification. It shows how structured progress tracking can turn a workout routine into something you look forward to every day, helping to stay consistent, motivated, and always moving forward. 🌟
This statistic represents the share of French people considering or having already run a marathon in 2018. That year, more than three quarters of the respondents never considered running a marathon.
This statistic illustrates the share of Americans who went jogging or running as of 2021, by generation. In that year, 10 percent of Gen Z respondents stated that they went long-distance jogging or running.
This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Maryland Sports (http://www.marylandsports.us/) has identified sport venues located within the State of Maryland. These venues offer opportunities to participate in free and fee-based - organized and pick-up - indoor and outdoor sports and physical fitness related activities in the area of Running Sports. Last Updated: 08/2014 Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Society/MD_SportVenues/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.
Dataset Card for "running-science"
More Information needed
Between November 2023 and November 2024, over 6.5 million people in England regularly participated in running. This represented an increase over the previous study period's figure of 6.2 million.
In 2019, approximately 7.13 million people participated in major running sport events held in China. Major running sport event refers to all road running sport events with more than 800 participants (including marathons) and all cross-country running events with more than 300 participants certified by the Chinese Athletics Association. The number of minor running events below that size is also growing in China.
Over ** million people in the United States went running or jogging at least once in 2024. This figure also represented an increase of roughly 5.7 percent over the previous year.