cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2018.391
title: Attitudes and behaviors of Thai fans towards licensed and counterfeit merchandise of English Premier League football teams

description: This study is a contemporary topic in applied marketing related to the subject area of international business. The key objectives are to understand the perception and purchase behaviour of Thai English Premier League (EPL) fans towards licensed and counterfeit merchandise of their favourite EPL team, to identify and understand differences among segments based on demographic, psychographic and behavioural factors and finally to identify influencing factors towards the purchase intention of licensed and counterfeit jersey of their favourite EPL team. The research methodology consisted of exploratory and descriptive research. Exploratory research came from two sources namely secondary research and in-depth interviews. Descriptive research came from an online questionnaire survey completed by 663 Thai EPL fans. Responses were analysed using the Statistical Package for Social Sciences (SPSS) program. The key findings from this study would be beneficial for sports managers or retailers of licensed team merchandise in Thailand.
DOI: 10.14457/tu.the.2018.392
title: Analysis for the money saving behavior of Gen Y in Bangkok to prevent future burden to society

description: This study aimed to carry out an analysis on the topic of money-saving behavior among the Generation Y population in Thailand, focusing mainly in Bangkok. The topic was chosen because it is a contemporary topic in applied marketing that focuses on societal issues that are important to Thailand. Nowadays, Generation Y tends to place more priority to short-term objectives such as current happiness, focusing less on career advancement. The common belief and motto of “You Only Live Once” results in an inadequate focus on one’s financial planning. This motto, when applied incorrectly, can easily lead to high spending compared to income, which commonly leads to debt or lack of savings. To understand the money saving behavior of Generation Y, 10 respondents were randomly selected for in-depth interviews to identify the main savings concept and barriers for Generation Y. Subsequently, 150 respondents were selected through an online survey questionnaire to further analyze Generation Y and gain insight concerning money-savings issues by using a non-probability sampling method. The results of this study divided Generation Y into 3 groups including (1) Risk-averse saver, (2) Educated saver, and (3) Typical saver based on their attitudes and perceptions toward money saving decisions. The risk-averse group appeared the most concerned with the reliability and credibility of financial institutions. Educated savers, however, carefully considered many aspects before making decisions, such as the stability of banks, the duration of savings programs, capital security and return on investment, as well as the ease of their money management. Meanwhile, the typical saver group generally had no specific concerns in any particular aspects, but were broadly concerned about general factors. With the insights derived from the surveys, it may be possible to help prevent potential burden to the Thai government by recommending the best time to intervene and help improve tools to incentivize Generation Y to save more through programs such as flexible savings programs with tax exemptions on interest.
DOI: 10.14457/tu.the.2018.393
title: A study of factors influencing elderly people to purchase products from online platforms

description: In recent years, the world has rapidly changed. Behaviors and ordering channels have also changed. Therefore, both brands and consumers should understand and adjust themselves to each other in order to deliver and make the best use of existing technology, especially to the elderly who is used to the old-fashioned way of shopping tangible goods from physical stores. On the other hand, these changes of technology create gaps in the market because there are a lot of people who are still not convenient to make an online purchase, even though online purchase has many benefits. Nevertheless, every cloud has a silver lining. If any brands can capture this demand, it would be a huge target market. This study will help brands develop a better understanding of the elderly who has never bought products from online platforms and some that have bought more than before. In many aspects, people who used to purchase online will see values, advantages and barriers of online purchases will be beneficial to develop right solutions for brands or companies that are willing to deliver values via online shopping to this target group. The research result illustrates data in accordance with Technology Acceptance Model on why people who have never made a purchase online do not purchase online. This will lead to the development of country's economy in terms of trade especially e-commerce which is likely to have very high growth, particularly a higher quality of the elderly's life in Thailand.
DOI: 10.14457/tu.the.2018.394
title: Perception, attitude, and influential factors towards booking an accommodation via online travel agency websites

description: This project is a contemporary topic in applied marketing that focuses on a technological issue that is important to Thailand.The objectives of the study of “Perception, attitude, and influential factors of Thai travelers towards booking an accommodation via online travel agency websites (OTAs) are to understand customers’ perception, attitude, and decision criteria towards booking an accommodation via online travel agency website, and their expectation.The key findings revealed that OTAs are becoming essential for trip planning. Thai travelers usually travel for leisure. 83.6% of them know OTAs from Facebook. Travelers are satisfied that they can search, compare, and make a booking online. It is not just accommodation but most OTAs allow users to book almost everything else, from air ticket to activities and tours. International OTAs like Agoda and Booking.com are the market leaders.This is a true challenge for conventional brick-and-mortar travel agencies. It is critical to re-consider how they can maintain and compete in the highly competitive and changing market. The study would help those who are in the tourism industry, particularly online travel agency websites, to gain better understanding of consumers, identifying significant factors that affect online consumers’ willingness to purchase, and to be able to carve business strategies accordingly. Being aware of consumer behavior change and knowing consumer insight would finally lead to an increasing customer satisfaction and sales.
DOI: 10.7910/dvn/e95bo5/eawadt
title: 6- High 1.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/gy1hg7
title: 5- Healthy Control 4.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/j6b0cy
title: 2- Healthy Control 1.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/rdosmr
title: 86-QC15.gci

description: :unav
DOI: 10.7910/dvn/e95bo5/sopi0d
title: 8- Quiescent 1.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/tgrfwf
title: 4- Healthy Control 3.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ymz4a9
title: 85-HC33.gci

description: :unav
DOI: 10.7910/dvn/e95bo5/yp4fg4
title: 3- Healthy Control 2.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/zkkzka
title: 1-QC1.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/asuiov
title: DFM_29_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/cgn452
title: SPLITS_38_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/gxmvuk
title: DTM_stanford

description: :unav
DOI: 10.7910/dvn/kzw8r2/mucikm
title: DTM_25_.tab

description: :unav
DOI: 10.7910/dvn/spoksm/6qhnlu
title: flow_3-13.tab

description: :unav
DOI: 10.7910/dvn/spoksm/cljjm7
title: vsl_5.tab

description: :unav
DOI: 10.7910/dvn/spoksm/dqmnh7
title: vsl_0-8.tab

description: :unav
DOI: 10.7910/dvn/spoksm/fxbpw1
title: density_8-2.tab

description: :unav
DOI: 10.7910/dvn/spoksm/kpzxvy
title: density_0-13.tab

description: :unav
DOI: 10.7910/dvn/spoksm/mjzj4x
title: density_7-3.tab

description: :unav
DOI: 10.7910/dvn/spoksm/oz37sr
title: flow_0.tab

description: :unav
DOI: 10.7910/dvn/spoksm/w89ytb
title: density_8-5.tab

description: :unav
DOI: 10.7910/dvn/spoksm/z6ljoa
title: density_0-1.tab

description: :unav
DOI: 10.7910/dvn/tckhgl/gzywwu
title: LCRR_adephylo_results.xlsx

description: :unav
DOI: 10.7910/dvn/tckhgl/wbp33x
title: Crotalus_scutulatus.nex.con.tre

description: :unav
DOI: 10.14457/tu.the.2018.395
title: A study of how the content of Facebook advertising influences consumer shabu restaurants choice's decision

description: Nowadays, the growth of restaurant industry keeps increasing rapidly as well as the number of Facebook users. The explosive growth of social media like Facebook registered by over 46 million Thai users in 2017 in today’s digital world is one of the main reasons behind the success of many restaurants using this tool as primary communication channel. In term of market growth, a number of new players have entered into this industry due to huge market value. On the consumer side, social media is also one of the important things for Thai people lives’ today, and Facebook was ranked for the highest number of Thai users registered on this platform compared to others.Due to high potential market opportunity, many companies enter into this industry. However, with the intense competition, many new restaurants also suffered and fail. In terms of success case, many restaurant marketers highly focus on quality of content on their Facebook to attract their target customers.The research objectives are 1.) To understand how the content of Facebook advertising influences consumer shabu restaurant’s choices decision 2.To recommend restaurant owner how the best apply to make their Facebook advertising most effective. The research approach is exploratory research with quantitative method.Data collection methods are in-depth interview and secondary research. The sampling method is convenience with snowball technique. The target respondents of 25 people are male and female between the age of 20-50 years old and of various demographic and socioeconomic status. The insights collected will be used to generate hypotheses to be interpreted in the descriptive research based on content analysis.As a result of this study, the major factors influencing the content of Facebook advertising of shabu restaurants are 1. Visual Attractiveness such as meat color or food presentation 2. Marketing Messages 3. Credibility of ContentIn conclusion, the result of this study will enable readers to understand all related factors affecting the content of Facebook advertising and, for applying this knowledge, shabu restaurant owners should focus on important factors and also understand the insight of their target consumer in order to develop their own business wisely.
DOI: 10.14457/tu.the.2018.396
title: The study of influence towards purchasing decision of dietary supplements in retail channels among Thai millennials

description: The recent rapid increase in health awareness has resulted in the continual growth of the health and wellness food industry. Amidst the hustle of the fast-paced society and busy lifestyles, millennials are searching for solutions to maintain their good health as they have less time to prepare a healthy diet, and dietary supplement products have become a common solution among many groups. Different types of dietary supplements are widely available across all types of retail channels in Thailand.The objectives of this research are to understand the consumer perceptions, to examine consumers’ decision-making process, to understand the consumer profiles, and to provide recommendations on key opportunities from the most significant influencing factors on the purchasing decision of dietary supplement products.This study consists of both exploratory and descriptive research designs. For the exploratory research, secondary data were collected from credible online sources and academic marketing sources. Moreover, observations were conducted at different types of retail channels and in-depth interviews were conducted on both current users and non-rejecters. For the descriptive research, an online questionnaire was employed to collect data from both current users and non-rejecters aged between 22-37 years old. Collected data was then subject to multiple statistical analyses to obtain quantitative findings. Results showed that the factors that influence the dietary supplements purchasing decision of Thai millennials were generally categorized into six factors, namely product and environment oriented, perception, health conscious, price and place, promotion, and knowledge. It was found that perception was the most influential factor. Through cluster analysis, three customer segments were extracted which are non-health conscious consumers, conscious consumers and health gurus. Within this analysis, it was found that product and environment orientation factor was the most important factor towards the purchase and post-purchase attitude. The health gurus group showed the highest willingness to pay and highest tendency in positive purchase and post-purchase attitudes, and hence was recommended to be the main target segment.
DOI: 10.7910/dvn/e95bo5/dsxyg2
title: 15- Low 1.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/g4koso
title: 13- QC3.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ktoctn
title: 9 - Healthy Control 5.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/n3cptd
title: 10- Healthy Control 6.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/tdlvm9
title: 12- Quiescent 2.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/y09mwg
title: 11- Healthy Control 7.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/y7filc
title: 7- QC2.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/yjkvda
title: 14- Healthy Control 8.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/cc3fxc
title: CATS_17_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/dyydyw
title: DTM_ 37_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/en4s3m
title: SPLITS_27_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/iawhzp
title: DTM_51_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/sffauc
title: DFM_47_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/vjmfsu
title: SPLITS_22_.RData

description: :unav
DOI: 10.7910/dvn/spoksm/0vtdmj
title: vsl_3-1.tab

description: :unav
DOI: 10.7910/dvn/spoksm/5w4nan
title: vsl_2-1.tab

description: :unav
DOI: 10.7910/dvn/spoksm/cbxcyg
title: vsl_1-6.tab

description: :unav
DOI: 10.7910/dvn/spoksm/ftr3wp
title: density_3-7.tab

description: :unav
DOI: 10.7910/dvn/spoksm/ijqcaq
title: flow_9-2.tab

description: :unav
DOI: 10.7910/dvn/spoksm/nlhymb
title: flow_5-11.tab

description: :unav
DOI: 10.7910/dvn/spoksm/shiekk
title: flow_4-10.tab

description: :unav
DOI: 10.7910/dvn/spoksm/sqtaia
title: flow_9-7.tab

description: :unav
DOI: 10.7910/dvn/spoksm/zg7wlq
title: vsl_7-3.tab

description: :unav
DOI: 10.17632/bgcyw75gc3.1
title: a study of Xu et al
DOI: 10.17632/wb4hgnr6k3.2
title: Clip #27

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/wmymrk79tg.2
title: Clip #26

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.7910/dvn/e95bo5/1mos5z
title: 23- High 3.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/4oepzx
title: 21- Low 3.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/anppzr
title: 24- Low 4.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/gjyctq
title: 19- QC4.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/nmkoka
title: 17- Low 2.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/wrljrd
title: 16- High 2.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/yq2jhy
title: 18- Healthy Control 9.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/yutrx9
title: 20- Healthy Control 10.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/2mgu4j
title: DTM_ 21_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/2zvwtd
title: DTM_ 64_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/3zghia
title: DTM_50_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/4bywgm
title: DTM_40_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/lb4k54
title: DTM_ 29_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/ozyvti
title: DFM_18_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/rku2z8
title: SPLITS_02_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/rvabni
title: DFM_08_.csv

description: :unav
DOI: 10.5281/zenodo.3362612
title: AEEEM-JIRA-PROMISE

description: A total of 22 software defect datasets with format ARFF. AEEEM was collected by D’Ambros et al. [1], PROMISE was prepared by Jureczko and Madeyski [2], and JIRA is a new repository of highly-curated defect datasets collected by Yatish et al. [3]. [1] M. D’Ambros, M. Lanza, and R. Robbes, “Evaluating defect prediction approaches: A benchmark and an extensive comparison,”Empirical Softw. Engg., vol. 17, no. 4-5, pp. 531–577, Aug. 2012. [2] M. Jureczko and L. Madeyski, “Towards identifying software project clusters with regard to defect prediction,” in Proceedings of the 6th International Conference on Predictive Models in Software Engineering, ser. PROMISE ’10. New York, NY, USA: ACM, 2010, pp. 9:1–9:10. [3] S. Yatish, J. Jiarpakdee, P. Thongtanunam, and C. Tantithamthavorn,“Mining software defects: Should we consider affected releases?” in The International Conference on Software Engineering (ICSE), 2019.
DOI: 10.7910/dvn/e95bo5/2ddod8
title: 27- Healthy Control 11.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/acnd9g
title: 29- Healthy Control 13.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/fqyee8
title: 33- QC6.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/in4b2h
title: 28- Healthy Control 12.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/jwm7pm
title: 26- QC 5.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/kjnmm5
title: 25- Quiescent 3.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/pvsllj
title: 30- Healthy Control 14.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ssycqq
title: 34- High 5.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/swmwak
title: 31- High 4.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/0aqdmi
title: SPLITS_54_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/c45rr9
title: DTM_11_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/ns8oqz
title: SPLITS_clinton.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/qdixe8
title: DTM_24_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/rzzmtw
title: CATS_30_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/vcit92
title: DFM_06_.csv

description: :unav
DOI: 10.17632/642n3xx8s6.2
title: Clip #25

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/r8vm7nbgvm.2
title: Clip #24

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.7910/dvn/e95bo5/aqwjk6
title: 41- Healthy Control 18.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/cxauun
title: 39- QC7.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/f3w22e
title: 36- Quiescent 4.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/jpvu52
title: 37- Healthy Control 16.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/k6ibye
title: 43- Healthy Control 19.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ormwj6
title: 40- High 6.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ovkv3i
title: 38- Healthy Control 17.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ovssut
title: 42- High 7.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/xfytka
title: 35- Healthy Control 15.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/6ciigf
title: DTM_ 11_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/cvhno7
title: CATS_02_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/icq8el
title: SPLITS_65_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/kc0k1o
title: SPLITS_06_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/lfohut
title: SPLITS_18_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/ql1irp
title: CATS_47_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/xbmu4h
title: DFM_04_.csv

description: :unav
DOI: 10.17632/5zjf62drv7.2
title: Clip #23

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/bvbykc4hxf.3
title: Clip #9

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.7910/dvn/e95bo5/13ukdo
title: 51- QC9.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/c6xfh1
title: 52- High 9.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/eoa3tk
title: 50- Healthy Control 22.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/jusm81
title: 47- High 8.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/lper98
title: 46- Low 5.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/njvip9
title: 48- Healthy Control 21.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/otwjo5
title: 45- QC 8.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/ydfyxz
title: 44- Healthy Control 20.xls

description: :unav
DOI: 10.7910/dvn/e95bo5/z2an13
title: 49- Low 6.xls

description: :unav
DOI: 10.7910/dvn/kzw8r2/1aemvj
title: DTM_64_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/4xr6jt
title: DFM_41_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/91miyq
title: DFM_clinton

description: :unav
DOI: 10.7910/dvn/kzw8r2/jkl3rv
title: SPLITS_14_.RData

description: :unav
DOI: 10.7910/dvn/kzw8r2/mgqtjs
title: DTM_14_.tab

description: :unav
DOI: 10.7910/dvn/kzw8r2/seoghu
title: DFM_ 01_.csv

description: :unav
DOI: 10.7910/dvn/kzw8r2/u9dujw
title: DFM_ clinton

description: :unav
DOI: 10.7910/dvn/kzw8r2/vmmbvk
title: CATS_21_.tab

description: :unav
DOI: 10.17632/cjptbmddpk.3
title: Clip #21

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/hps9jsjwxp.3
title: Clip #16

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/kcxpm835gw.2
title: Clip #19

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/m25z57438h.2
title: Clip #20

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.