Typhoon Molave, Viet Nam, Tweets 2020

NIAID Data Ecosystem2026-05-02 收录

自然灾害舆情分析

社交媒体灾害监测

数据链接：

https://data.mendeley.com/datasets/9yfm65mtj6 数据链接链接失效反馈

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资源简介：

100 most popular tweets related to Viet Nam's Typhoon Molave disaster; October 2020 to December 2020 with coding used for analysis.

创建时间：

2025-08-26

#YMMFire crawl; August 31-September 2, 2016

社交媒体灾害监测

网络信息爬取

Consists of a web crawl of unique URLs tweeted with the #YMMFire hashtag. #YMMFire collection took place from May 1-June 25, 2016. Unique URLs were extracted from the dataset, and harvested with Herit

NIAID Data Ecosystem70

A Global Database of Historic and Real-time Flood Events based on Social Media

社交媒体灾害监测

洪水事件检测

Early event detection and response can significantly reduce the societal impact of floods. Currently, early warning systems rely on gauges, radar data, models and informal local sources. However, the

Zenodo2019-05-14 更新50

Additional file 2 of Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood

洪水淹没制图

社交媒体灾害监测

Additional file 2. Location and water height derived from social media data.

Figshare2021-09-18 更新40

CREXWET: CREdata-Weather-Emergency-Twitter

洪水与野火检测

社交媒体灾害监测

Dataset Summary The CREXWET dataset is a multilingual corpus of Tweets annotated according to their relevance to a flash flood, or wildfire, for weather event detection. The dataset contains 627k (2

Zenodo2025-12-16 更新60

Data for: Social Media for Enhanced Understanding of Disaster Resilience during Hurricane Florence

灾害韧性分析

社交媒体灾害监测

This data set is used for the manuscript "Social Media for Enhanced Understanding of Disaster Resilience during Hurricane Florence". It contains the geo-located Twitter data posted in the affected reg

NIAID Data Ecosystem50

Typhoon Molave, Viet Nam, Tweets 2020

资源简介：

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