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.

This is a Twitter dataset collected during the typhoon Mangkhut 2018 in the Philippines. 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 reports of 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.

This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Maria. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. Please contact us if you need full dataset with tweets content.

This resource is comprised of Twitter data collected and processed by the AIDR system during the 2017 hurricane Harvey. The data contains information about number of people affected, injured, dead, reports of damages, missing people and so on. The data was automatically classified using state of the art machine learning techniques.