WOVOdat - Data on Volcanic Unrest

WOVOdat standalone package

For those from observatories willing to develop their database system using WOVOdat-like format, scripts are available here. These are basic scripts that could be used in starting database construction.

Contributing data to WOVOdat

We actively solicit relevant data contributions from volcano observatories, other institutions, and individual researchers. Data can be submitted into the WOVOdat database .

Application tools/plugins

WOVOdat also welcomes user interface tools (visualization, optimization data search engine, pattern recognition, automation data upload, etc.) and application tools by which WOVOdat can be used for probabilistic eruption forecasting.

Job advertisement for WOVOdat research fellow

Earth Observatory of Singapore invite applications for a Research Fellow as part of the WOVOdat team to develop application tools by which WOVOdat can be used for probabilistic eruption forecasting, such as pattern recognition and event tree analysis. See detail requirement here.

is a comprehensive global database on volcanic unrest aimed at understanding pre-eruptive processes and improving eruption forecasts. WOVOdat is brought to you by WOVO (World Organization of Volcano Observatories) and presently hosted at the Earth Observatory of Singapore.

A lack of standardization in data formats and database architectures has made it nearly impossible to do comparative studies of volcanic unrest, or to search data for analogues to any current unrest. WOVOdat fills this gap by translating and compiling this myriad of data into common formats with the goal to make them freely web-accessible, for reference during volcanic crises, comparative studies, and basic research on pre-eruptive processes.

Using WOVOdat, scientists wishing to study how volcanoes prepare to erupt will be able to find a wealth of historical data at their fingertips. Scientists needing to forecast the outcome of a fresh volcanic crisis will be able to search for analogues, find the past outcomes, and estimate (changing) probabilities of how the fresh unrest will evolve.