Context Many many search queries bypassing the limits of Twitter API. these files can easily be read using read_delim in R and using ; as the delimiter. The search query is in the name of the csv. The time runs from this year until ~2012, but each set varies. Dental pain, alternatives, opioid prescription, patient visits, dental advertisements, misinformation, and more are found within these datasets. This tweet set is great for text analytics, machine learning, and etc. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research. Inspiration I believe healthcare should be a right for all, and that includes dental care? What alternatives do people turn to when they cannot afford the care they need? I hear many of my friends, in their 20s like myself, not receiving coverage or waiting to go to the dentist. Although age is not included in these csv. user profiles if public can be grabbed using the twitter API.