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High-speed train operation data are reliable and rich resources in data-driven research. However, the data released by railway companies are poorly organized and not comprehensive enough to be applied directly and effectively. A public high-speed railway network dataset suitable for research is still lacking. To support the research in large-scale complex network, complex dynamic system and intelligent transportation, we develop a high-speed railway network dataset, containing the train operation data in different directions from October 8, 2019 to January 27, 2020, the train delay data of the railway stations, the junction stations data, and the mileage data of adjacent stations. In the dataset, weather, temperature, wind power and major holidays are considered as factors affecting train operation. Potential research values of the dataset include but are not limited to complex dynamic system pattern mining, community detection and discovery, and train delay analysis. Besides, the dataset can be used to solve various railway operation and management problems, such as passenger service network improvement, train real-time dispatching and intelligent driving assistance. Measurement(s) train operation data of China high-speed railway network • locations of railway stations • weather and temperature and wind power Technology Type(s) web scraping with python • Geographic Information System Factor Type(s) high-speed train departure delay time • high-speed train arrival delay time • various external factors affecting train operation • bad weather exposure time of railway stations • railway station community size Sample Characteristic - Organism high-speed train Sample Characteristic - Environment railway system Sample Characteristic - Location China [ABSTRACT FROM AUTHOR]

Background: The effectiveness of acupuncture for patients with chronic tension-type headache (CTTH) is controversial. In this article, we report the protocol for a randomized controlled trial aiming to evaluate the long-term effect of acupuncture for CTTH, in comparison with superficial acupuncture.Design: A two-armed, parallel-design, patient-assessor blind, randomized controlled trial is underway in China. A total of 218 participants with CTTH will be randomly assigned to the treatment group or the control group in a 1:1 ratio. Participants in the treatment group and control group will receive acupuncture or superficial acupuncture treatments in a fixed prescription of acupoints respectively, for a total of 20 sessions over 8 weeks. The posttreatment follow-up period will be 24 weeks. The primary outcome will be the proportion of responders assessed at week 16 after randomization. The secondary outcomes will include the number of headache days, the mean intensity of headache, the reduction of medication intake, results from the 36-item short form health survey, the Hamilton Depression Scale and the Hamilton Anxiety Scale, the number of participants with adverse events, the expectation value of acupuncture treatment, and the intensity of deqi sensation. The first five secondary outcomes will be assessed or calculated at baseline, and at 4, 8, 12, 16, 20, 24, 28, and 32 weeks after randomization. Moreover, the expectation value will be collected at baseline and at week 8 after randomization, the intensity of deqi sensation will be assessed at 5 minutes after each treatment and adverse events will be summarized at the end of the follow-up period.Discussion: Results from this trial will provide evidence for the long-term effect of acupuncture for CTTH with a long follow-up period.Trial Registration: ClinicalTrial.gov NCT03133884 . Registered on 25 April 2017. [ABSTRACT FROM AUTHOR]