Qatar Computing Research Institute

This dataset represents the geographical distribution of Twitter users and tweets related to Coronavirus (COVID-19) pandemic at three levels. The data was collected and processed by the AIDR system (http://aidr.qcri.org). See the individual resources/files for more details about the datasets.

This resource provides important information about individuals who were reported missing or stranded, requests and offers of shelter, and general calls for assistance, such as requests for food and donations, from Twitter data collected during The 2023 Türkiye-Syria earthquake. Additionally, the resource provides damage reports collected from Twitter in the form of images. The data provides district-level aggregation of particular type of information, raw data points, population, and a district-level impact score. The data was collected using the AIDR system (http://aidr.qcri.org/) and processed/analyzed using machine learning and rule-based techniques.

About the dataset: Hurricane Michael was the third-most intense Atlantic hurricane to make landfall in the United States in terms of pressure. This dataset was collected from Twitter during Hurricane Michael. The dataset was processed and analyzed using the AIDR (http://aidr.qcri.org) platform. Dataset Description: This is a Twitter dataset collected during Hurricane Michael 2018. The data was collected, processed, and analyzed by the AIDR (http://aidr.qcri.org) platform using state-of-the-art machine learning techniques. The data includes the number of injured and dead people, infrastructure damage reports, missing or found people, urgent needs and donation offers for each hour. Due to Twitter TOS, we do not share full tweets content on HDX. Please contact us via HDX or on aidr.qcri@gmail.com to get tweet ids of the dataset along with a tool which can be used to rehydrate tweets from tweet ids.