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We frequently have to justify the time and resource cost of building and maintaining these databases (as required by UKRI for research impact for example). If you make use of them please spend 10 seconds to record your support for our efforts here and then click submit. Your responses will help us to make the databases more useful and easier to use and also help us to justify to our sponsors the funding required to maintain and improve the systems.

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CITATION for the GOODD dataset (unsnapped)
Mulligan, M. Saenz-Cruz , L., van Soesbergen, A., Smith,V.T. and Zurita,L (2009) Global dams database and geowiki. Version 1. Version 1.

CITATION for the GOODD dataset (snapped to WaterWorld V1)
Mulligan,M., van Soesbergen, A. and Saenz, L. (2020) GOODD, a global dataset of more than 38,000 georeferenced dams. Scientific Data

Other datasets are delivered with the appropriate citation as part of their zip file

Users are prohibited from any commercial, non-free resale, or redistribution of raw data without explicit written permission ( Users should acknowledge King's College London as the source used in the creation of any reports, publications, new data sets, derived products, or services resulting from the use of this data set.

***Any publication that makes use of the global data should be discussed with us beforehand ( that we can contribute to the publication (methods, interpretation). To download these data you must accept this condition.***

King's College London provides these data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. Kings College London shall not be liable for incidental, consequential, or special damages arising out of the use of any data downloaded.

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