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LitPop: Global Exposure Data for Disaster Risk Assessment
(2019)The modeling of economic disaster risk on a global scale requires high-resolution maps of exposed asset values. We have developed a generic and scalable method to downscale national asset value estimates proportional to a combination of nightlight intensity and population data. Here, we make gridded asset exposure data for 224 countries at a resolution of 30 arcsec available for download. For more information, please refer to the ...Dataset -
Dataset to regimes of jetting and bubbling in a fluidized bed studied using real-timemagnetic resonance imaging
(2019)This research dataset contains Matlab scripts and MR images that were used to generate Figs. 4 - 7 and Fig. S1 of https://doi.org/10.1016/j.cej.2019.123185. Feel free to use the MR image series for your research projects. If so, please cite https://doi.org/10.1016/j.cej.2019.123185. For further information or assistance please contact Alexander Penn at his email (current email address: apenn@ethz.ch)Dataset