Find research datasets worth reusing

opencc-by-4.0Jun 2022View details →

Quantification of Error Sources with Inertial Measurement Units in Sports - Data and Matlab Scripts

Inertial measurement units (IMUs) offer the possibility to capture the lower body motions of players of outdoor team sports. However, various sources of error are present when using IMUs: the definition of the body frames, the soft tissue artefact (STA) and the orientation filer. Methods to minimize these errors are currently being used without knowing their exact influence on the various sources of errors. The goal of this study was to quantify each of the sources of error of an IMU separately. An optoelectronic system was used as a golden standard. Rigid marker clusters (RMCs) were designed to construct a rigid connection between the IMU and four markers. This allowed for the separate quantification of each of the sources of error. Ten subjects performed nine different trials, varying both in type of movement and in movement intensity. The error of the definition of the body frames (10.9-18.1 deg RMSD), the STA (3.6-9.4 deg RMSD) and the error of the orientation filter (2.8- 13.1 deg RMSD) were all quantified separately. The data and code to process the data can be found in this publication.

opencc-by-4.0Feb 2023View details →

Sleep Architecture in Response to a Late Evening Competition in Team-Sport Athletes

Purpose: The aim of this study was to assess the effect of a late evening competition on sleep characteristics and perceived recovery in team-sport players using a validated self-applicable and portable polysomnographic device. Methods: Sixteen teamsport players (age: 25.4 [1.4] y; body mass index: 23.6 [0.5] kg/m2) completed the study. Objective and subjective sleep data were collected for 4 consecutive nights: 2 nights before (PRE2 and PRE1) and the 2 nights after an eveningmatch (POST1), performed between 6:00 PM and 9:00 PM. Total quality of recovery values were also collected in the morning. Results: A significantly delayed bedtime (P < .0001; η2p = .68, large) was observed in the first night after the competition (2 h 29 min [1 h 15 min]) compared both to PRE2 (+88 min; P < .0001), PRE1 (+98 min; P < .0001), and POST1 (+100 min; P < .0001), and similar results were observed for wake-up time (P = .033; η2p = .39, large): Players woke up significantly later in evening match (9 h 20 min [1 h 55 min]) compared with PRE2 (+85 min; P = .050) and POST1 (+85 min; P = .049). Conversely, total sleep time; sleep efficiency; sleep onset latency; wake after sleep onset; cortical arousals; N1, N2, N3, and REM (rapid eye movement) percentages; total quality of recovery values; and scores of subjective sleep quality did not vary among the 4 study nights. Conclusions: Team-sport players had delayed bedtime and wake up time following an evening competition; however, sleep quality, duration, and subjective scores of recovery were not affected by the evening match. The delayed wake-up time seems to protect athletes’ sleep efficiency/duration against the evening-match-induced delayed bedtime.

opencc-by-4.0Feb 2023View details →

Laser Beam Characterization Data Related to Testing Different Near-Infrared Laser Therapy Devices Used in Sports Medicine

This dataset contains laser beam characterization data collected for different near-infrared laser therapy devices that are used in sports medicine. Data were collected between September 2021 and December 2022 at the Department of Anatomy II (Neuroanatomy) of the Ludwig-Maximilians University of Munich, Germany. Laser therapy devices were characterized using a thermal power sensor, a photodiode, and a beam profiling camera (for details, see [1]). Two different laser therapy devices were investigated (Dolorclast High Power Laser, Electro Medical Systems; Cube 4 Med, Eltech K-laser s.r.l.). The measurements were repeated for three units of each laser therapy device (EMS-1, EMS-2, EMS3; K-1, K-2, K-3). The dataset contains raw data files from each sensor that include text (TXT) files, comma-separated-values (CSV) formatted files, and raw camera recordings in binary format (BINARY.BGDATA). The data was used to create figures that were submitted to the journal MDPI Biomedicines [1]. The figures in [1] were created with Python in a Jupyter Notebook, which is also included in this dataset. 2023-02-17 Update: The manuscirpt has been published in MDPI Biomedicines [2]. If you make any use of this dataset, please cite [2]. [1] Kaub, L.; Schmitz, C. Spread of the Optical Power Emission of Several Units of the Same Laser Therapy Devices Used in Sports Medicine, Which Cannot Be Assessed by the Users, Shown by Means of High-Fidelity Laser Measurement Technology. Preprints 2023, 2023010251, https://doi.org/10.20944/preprints202301.0251.v1. [2] Kaub, L.; Schmitz, C. Spread of the Optical Power Emission of Three Units Each of Two Different Laser Therapy Devices Used in Sports Medicine, Which Cannot Be Assessed by the Users, Shown by Means of High-Fidelity Laser Measurement Technology. Biomedicines 2023, 11, 585. https://doi.org/10.3390/biomedicines11020585

opencc-by-4.0May 2023View details →

Supplementary Material to "Identifying major research themes in Sport Science" (Interactive Science Maps)

Links to interactive maps (1) Link: <a href="https://app.vosviewer.com/?map=https://drive.google.com/uc?id=182n1HEZygAoS_9Caxj83hi27y41N6SWm&item_size=4">World Map</a> (<a href="https://tinyurl.com/2zufzslg">https://tinyurl.com/2zufzslg</a>) (2) Link: <a href="https://app.vosviewer.com/?map=https://drive.google.com/uc?id=182n1HEZygAoS_9Caxj83hi27y41N6SWm&item_size=5&item_size_variation=0.4&scale=0.9">Sport Science Map</a> (<a href="https://tinyurl.com/2fztyjhf">https://tinyurl.com/2fztyjhf</a>)

opencc-by-4.0Jul 2023View details →

Supplementary Material to "Identifying major research themes in sport sciences" (Dataset)

The Excel file is organized into the following sheets: <ul> <li>SM_Sheet1 - global bibliometric indicators in the sport sciences</li> <li>SM_Sheet2 - main indicators at country for two different period</li> <li>SM_Sheet3 - list of 4159 research topics for world science research</li> <li>SM_Sheet4 - a detailed description of main research topics in sport sciences</li> <li>SM_Sheet5 - the number of journals included in the Journal Citation Reports (JCR) in the sport science category and the topic distribution according to the Gini Index are as follows</li> </ul>

opencc-by-4.0Jul 2023View details →

Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking

It has been indicated that extreme sport activities, despite providing fear, stress and anxiety, also result in a highly rewarding experience. Studies have related this experience to the concept of flow, a positive feeling that individuals undergo when they are completely immersed in an activity. However, little is known about the exact nature of these experiences, and, there are still no empirical results to characterize the brain dynamics during extreme sport practice. This work aimed at investigating changes in psychological responses while recording physiological (heart rate – HR, and breathing rate – BR) and neural (electroencephalographic – EEG) data of eight volunteers, during outdoors slackline walking in a mountainous environment at two different altitude conditions (1 m – low-walk – and 45 m – high-walk – from the ground). Low-walk showed a higher score on flow scale, while high-walk displayed a higher score in the negative affect aspects, which together point to some level of flow restriction during high-walk. The order of task performance was shown to be relevant for the physiological and neural variables. The brain behavior during flow, mainly considering attention networks, displayed the stimulus-driven ventral attention network – VAN, regionally prevailing (mainly at the frontal lobe), over the goal-directed dorsal attention network – DAN. Therefore, we suggest an interpretation of flow experiences as an opened attention to more changing details in the surroundings, i.e., configured as a ‘task-constantly-opened-to-subtle-information experience’, rather than a ‘task-focused experience’.

opencc-by-4.0Jul 2023View details →

Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking

opencc-by-4.0Oct 2023View details →

Academy Sports and Outdoors, Inc - Income Statement

Academy Sports and Outdoors, Inc. (Ticker: ASO) is a mid-cap Texas-based sporting goods and outdoor recreational retailer trading at a P/E of 7x, and an EV/EBITDA yield of 17%, which places it among the cheapest 10% of stocks in our liquid, tradeable universe of stocks (mkt cap > ~$2 bn).ASO employs approximately 22,000 people, and operates 269 retail locations in 18 states across the southeastern US, as well as three distribution centers located in Texas, Tennessee, and Georgia.ASO was written up in 2021 by baileyb906, and we encourage VIC members to review that writeup for additional background.Q1 Weakness and Retail Crime FalloutThere are some good recent reasons to be pessimistic about the stock. First, fiscal Q1, ending 4/29/23, showed a negative trend -- a YoY decline in quarterly revenues of 5.7%. The company has also indicated Q2 would also be challenging. With earnings coming out next week, we will soon see. Most of the Q1 softness was due to a 15% YoY decline in revenues in its Outdoor division, traditionally the company's largest. The company has explained that 1) it had very tough comps versus the prior year in hunting, camping, fitness and bikes, and 2) the company's products are designed to be enjoyed outside, and much of the weakness was due to unfavorable weather patterns, including cooler temperatures and rain. Second, Dick's missed earnings pretty dramatically few days ago due to inventory shrink due to a rise in retail crime, and sold off ~20%. ASO has been caught up in concerns about how this might affect the sector. But this current weakness comes at the tail end of a successful multi-year turnaround story, and is a reasonable entry point.Turnaround BackgroundBy way of background, KKR bought 20% the company in 2011, and the company did poorly from 2013-2018 during which time, despite aggressive store count growth, EBITDA/Store fell from ~$2.5 million to ~$1 million. Enter Ken Hicks, who was appointed CEO in 2018. Hicks had previously run a successful turnaround at Foot Locker, increasing Sales, and EBIT and net income margins while there.At Academy Sports, Hicks pursued a successful store expansion plan, oversaw its IPO in 2020, and grew sales from $4.8 bn in 2018 to $6.4 bn in 2022. KKR sold its stake in ~2021. As of Q4 22, the company had increased its market cap by almost $4 bn since its IPO, and had returned $2 bn to stakeholders, including $900 million of repurchases. It's been a successful turnaround.Merchandise and TAMThe company sells merchandise across four divisions: Outdoors (Camping, Fishing, Hunting at ~31% of sales), Sports and recreation (Fitness, Team sports, Recreation at ~28% of sales), Apparel (Outdoor, Youth and Athletic apparel at ~21% of sales), and Footwear (Casual, Work, Youth and Athletic footwear at ~20% of sales).The company believes its total addressable market in the US is ~$175 bn, of which Dick's Sporting Goods, the largest sporting goods competitor, has less than a 10% share, but also has over 2x the revenues of ASO. This suggests there may be room to take share, and the market looks healthy. The US sporting goods market has/is expected to grow at a 7.9% CAGR from 2019 to 2025, according to a Morgan Stanley Outdoor and Active Living 2022 survey. Additionally, the Bureau of Economic Analysis reports that consumer spending on sporting equipment, supplies, guns and ammunition grew at 5.6% CAGR from 2000 to 2022. The industry appears to be fragmented, but growing.Favorable Geographic/Demographic TailwindsApproximately 29% of the company's stores are in the top 5 fastest growing metropolitan statistical areas, including parts of Texas, Tennessee, and Florida. Of note, approximately 40% of the company's stores are in Texas, which last year surpassed 30 million people, and which the company estimates will see population growth of 17% between 2020-30.The company believes there is ample opportunity for geographic expansion. Walmart has a store within 10 miles of 88% of Americans. For ASO, the figure is 17%, which means there's a good runway for further penetration.SuccessionOn June 1, 2023, the company announced that as a result of a planned succession process, Steven Lawrence was promoted from Chief Merchandising Officer and became the new CEO. Lawrence has announced a 5-year plan to open 120-140 new stores and achieve $10 bn in revenue by 2027 (approximately a 10% CAGR), up from ~$6 bn today, with a net income margin of 10%, and ROIC of 30%, which we think are attainable goals. The blueprint is in place, and now it falls to the new CEO to execute. Longer-term, the company sees the opportunity for 800 additional stores.According to the <a href="http://www.columbia.edu/~tmd2142/5-best-stock-research-websites.html">best stock research websites</a>, a key driver of the company's growth strategy is expansion of the store base by ~50% over the next few years, with new stores making up $2.4-$2.8 bn of the incremental revenue required to meet the goal of $10 bn.Store EconomicsThe company's stores average approximately 70,000 SF and are highly profitable. The company seeks to lease all its stores via long-term lease agreements, ranging from 15 to 20 years, and executes sale-leaseback transactions for stores it is developing. ASO's average store delivers ~$4 million in EBIT, which is double the $2 million for Dick's. It costs approximately $4-$5 million to open a new store, which is expected in the first year to achieve $18 million in sales, be EBITDA positive, and have an ROIC of 20%. The stores ramp to $25 million in sales over 4-5 years. If the company can successfully open 120-140 new stores in the next 5 years, as planned, good things will happen to the stock price.OmnichannelASO has built an e-commerce and mobile platform that allows enhanced consumer connection with stores. This includes buy-online-pickup-in-store program, and ship-to-store and curbside pickup programs. The company is also enhancing the customer experience through new features such as new site search capabilities, outfitting, express check-out, and biometric security.The company expects its omnichannel efforts will be a continued driver of growth and gross margin. The company has stated that 75% of e-commerce sales are fulfilled in stores, and 60% of omnichannel customer spend came from within 10 miles of a store. Omnichannel customers spend more and purchase more frequently than the average customer. During 2022, stores facilitated approximately 95% of ASO's total sales.Capex Budget and FCFIn support of its store expansion and growth goals, the company has unveiled a 5-year capex plan to invest $1.5 bn over the next five years. With $5.5 bn -$6 bn of anticipated adjusted EBIT projected over the next 5 years, the company anticipates the plan will be entirely self-funded through cash flow. Add an additional $0.5 bn to $ 1 bn required for WC and other factors, and that still leaves $3.5 bn in FCF available to stakeholders.Return of Capital / Share RepurchasesThe company has repurchased $440 million of stock in the past 12 months, and the company initiated a quarterly cash dividend in FY 22. We believe this is a shareholder friendly management team who will continue to return capital to shareholders when it makes sense. With the stock price as cheap as it is today relative to fundamentals, we would applaud additional buybacks at these prices.<ul><li><a href="https://valueinvesting.io/cost-of-equity-calculator">Cost of equity calculator</a></li><li><a href="https://valueinvesting.io/cost-of-debt-calculator">Cost of debt calculator</a></li><li><a href="http://www.columbia.edu/~tmd2142/wacc-calculator.html">WACC calculator</a></li></ul>Operational Momentum: Increasing Margins, Returns, Inventory TurnsThe company's gross margins have improved from 29% in 2018 to 34% LTM. Similarly, EBIT margins have improved from 3.5% in 2018, to 11.9% LTM. ROIC has improved from 14% in 2018 to 34% LTM. Inventory turns are also up, from 2.7x in 2018 to 3.2x LTM. These metrics demonstrate that the business has positive operating momentum, and is increasing efficiencies. The company's current ratio has increased from 1.4x a year ago to 1.6x today, indicating increased liquidity. Additionally, the company's ROE is 37%, demonstrating that it is using its equity capital effectively.The company also boasts a strong balance sheet. The company's net debt has declined from $1.5 bn in 2018 to $0.5 bn currently. Additionally, the company maintains a $1 bn credit facility, with no debt maturities until 2027. This outperforms all estimates of the <a href="http://www.columbia.edu/~tmd2142/5-best-stock-screeners.html">best stock screeners</a>.SummaryASO trades at a P/E of 7x, and has an EBITDA/EV yield of 17%, which we think is cheap for a company that has been successfully turned around from 5 years ago, and with good growth prospects for the next 5 years. ASO is positioned to benefit from positive growth trends in its core product areas, and has stores in metropolitan areas that are growing. Its stores have become increasingly profitable and are being run efficiently, and compare favorably to those of its competitors. The company's ROE of 37% and ROIC of 34% are both impressive, indicating that it has done a good job managing its capital. Margins have strengthened over recent years, and are reasonable today with EBITDA margins of 14.9% and net margins of 9%. It has an ambitious store count growth plan for the next 5 years, with self-funded capital and a conservative balance sheet available to pursue it. It is generating strong positive free cash flow, and is buying back stock and returning capital to shareholders via dividends, demonstrating its friendliness to shareholders.

opencc-zeroMar 2016View details →

Priest Karol Wojtyła's sports shoes

ID no.: 96/X Museum: Cardinal Karol Wojtyła Archdiocesan Museum in Kraków http://muzea.malopolska.pl/en/obiekty/-/a/54355/1126764 Object copyright: Cardinal Karol Wojtyła Archdiocesan Museum in Kraków Digitalisation RDW MIC, Małopolska's Virtual Museums project Source: Objaverse 1.0 / Sketchfab

restrictedIPD-UNDECIDEDFeb 2026View details →

Comparative Assessment of Thickness Changes in 3D-Printed vs. Custom-Made Mouth Guards for Children in Contact Sports

ClinicalTrials.gov study NCT07000435. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.

DHA For The Treatment of Pediatric Concussion Related to Sports Injury

ClinicalTrials.gov study NCT01903525. IPD Sharing: NO. Countries: 1. Publications: 1.

The CRESCENDO Program (inCRease Physical Exercise and Sport to Combat ENDOmetriosis)

ClinicalTrials.gov study NCT05831735. IPD Sharing: YES. Countries: 1. Publications: 1.

How do the Neck Muscles Influence Head Acceleration During Sport-associated Impact Events in High School Athletes?

ClinicalTrials.gov study NCT03883165. IPD Sharing: NO. Countries: 1. Publications: 2.

EFFECTIVENESS OF ECCENTRIC HAMSTRING CONTRACTIONS WITH PHYSIOTHERAPY TRAINING ON SPORTS PERFORMANCE AND QUALITY OF LIFE IN YOUNG MALE FOOTBALL PLAYERS WITH NON-CONTACT GRADE 1 ACL INJURY

ClinicalTrials.gov study NCT07115316. IPD Sharing: NO. Countries: 1. Publications: 3.

Purpose After Service Through Sport (PASS)

ClinicalTrials.gov study NCT05289882. IPD Sharing: YES. Countries: 1. Publications: 19.

Second Primary Lung Cancer Cohort Study (SPORT)

ClinicalTrials.gov study NCT04178889. IPD Sharing: NO. Countries: 1. Publications: 2.

Fitness Tests Conducted at Intervals of 30-15 Minutes Provide Superior Sport-specific Accuracy Compared to Treadmill Tests in Elite Female Soccer Players.

ClinicalTrials.gov study NCT07390149. IPD Sharing: NO. Countries: 1. Publications: 0.

Sub-Threshold Exercise Treatment for Adolescents With Sports Related Concussion

ClinicalTrials.gov study NCT02710123. IPD Sharing: NO. Countries: 1. Publications: 3.

High Dose Omega-3 Fatty Acids in the Treatment of Sport Related Concussions

ClinicalTrials.gov study NCT01814527. IPD Sharing: YES. Countries: 1. Publications: 12.

A Comparison Between Cardiovascular Exercise Modes Following Sport Related Concussion

ClinicalTrials.gov study NCT04586179. IPD Sharing: YES. Countries: 1. Publications: 3.