DOI: 10.21227/pnjn-zk15
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", "covidiots", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Coronavirus (COVID-19) Tweets Dataset(318+ million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.(Tweets collected in UTC; Local time mentioned below: GMT+5:45):march20_march21.csv: March 20, 2020 01:37 AM - March 21, 2020 09:25 AMmarch21_march22.csv: March 21, 2020 09:27 AM - March 22, 2020 07:46 AMmarch22_march23.csv: March 22, 2020 07:50 AM - March 23, 2020 09:08 AMmarch23_march24.csv: March 23, 2020 09:11 AM - March 24, 2020 11:35 AMmarch24_march25.csv: March 24, 2020 11:42 AM - March 25, 2020 11:43 AMmarch25_march26.csv: March 25, 2020 11:47 AM - March 26, 2020 12:46 PMmarch26_march27.csv: March 26, 2020 12:51 PM - March 27, 2020 11:53 AMmarch27_march28.csv: March 27, 2020 11:56 AM - March 28, 2020 01:59 PMmarch28_march29.csv: March 28, 2020 02:03 PM - March 29, 2020 04:01 PMmarch29_march30.csv: NOT AVAILABLEmarch30_march31.csv: March 30, 2020 02:01 PM - March 31, 2020 10:16 AMmarch31_april1.csv: March 31, 2020 10:20 AM - April 01, 2020 10:59 AMapril1_april2.csv: April 01, 2020 11:02 AM - April 02, 2020 12:19 PMapril2_april3.csv: April 02, 2020 12:21 PM - April 03, 2020 02:38 PMapril3_april4.csv: April 03, 2020 02:40 PM - April 04, 2020 11:54 AMapril4_april5.csv: April 04, 2020 11:56 AM - April 05, 2020 12:54 PMapril5_april6.csv: April 05, 2020 12:56 PM - April 06, 2020 10:57 AMapril6_april7.csv: April 06, 2020 10:58 AM - April 07, 2020 12:28 PMapril7_april8.csv: April 07, 2020 12:29 PM - April 08, 2020 12:34 PMapril8_april9.csv: April 08, 2020 12:37 PM - April 09, 2020 12:18 PMapril9_april10.csv: April 09, 2020 12:20 PM - April 10, 2020 09:20 AMapril10_april11.csv: April 10, 2020 09:22 AM - April 11, 2020 10:22 AMapril11_april12.csv: April 11, 2020 10:24 AM - April 12, 2020 10:53 AMapril12_april13.csv: April 12, 2020 10:57 AM - April 13, 2020 11:43 AMapril13_april14.csv: April 13, 2020 11:46 AM - April 14, 2020 12:49 AMapril14_april15.csv: April 14, 2020 11:09 AM - April 15, 2020 12:38 PMapril15_april16.csv: April 15, 2020 12:40 PM - 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