16701 10 91499 2 264921 document 91499 s41597-020-00624-w.pdf application/pdf f42df951f7bfd26b539cf84f809b687b MD5 2905701 2020-09-10 14:22:54 https://pure.iiasa.ac.at/id/eprint/16701/1/s41597-020-00624-w.pdf 16701 1 1 application/pdf text en public cc_by_4

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published 91500 1 264927 document 91500 indexcodes.txt text/x-c++ 2ca01c4ea79381d319a6fb4c400d2774 MD5 13061 2020-09-10 14:32:38 https://pure.iiasa.ac.at/id/eprint/16701/2/indexcodes.txt 16701 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/91499 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/91499 http://eprints.org/relation/ismediumThumbnailVersionOf https://pure.iiasa.ac.at/id/document/91499 91504 2 264931 document 91504 small.jpg image/png 89d06045478ccd73e91a9e98fd9dd85d MD5 2029 2020-09-10 14:33:09 https://pure.iiasa.ac.at/id/eprint/16701/6/small.jpg 16701 6 6 image/png other Thumbnails conversion from text to thumbnail_small en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/91499 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/91499 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/91499 archive 353 disk0/00/01/67/01 2020-09-10 14:25:01 2024-09-09 12:49:45 2020-09-10 14:25:01 article show Maus V. 8780 0000-0002-7385-4723 Giljum S. 7883 Gutschlhofer J. da Silva D.M. Probst M. Gass S.L.B. Luckeneder S. Lieber M. McCallum I. 1731 0000-0002-5812-9988 pub prog_esm The area used for mineral extraction is a key indicator for understanding and mitigating the environmental impacts caused by the extractive sector. To date, worldwide data products on mineral extraction do not report the area used by mining activities. In this paper, we contribute to filling this gap by presenting a new data set of mining extents derived by visual interpretation of satellite images. We delineated mining areas within a 10 km buffer from the approximate geographical coordinates of more than six thousand active mining sites across the globe. The result is a global-scale data set consisting of 21,060 polygons that add up to 57,277 km2. The polygons cover all mining above-ground features that could be identified from the satellite images, including open cuts, tailings dams, waste rock dumps, water ponds, and processing infrastructure. The data set is available for download from https://doi.org/10.1594/PANGAEA.910894 and visualization at www.fineprint.global/viewer. 2020-09-08 published Nature Publishing Group 10.1038/s41597-020-00624-w 3138 1283 202 public Scientific Data 7 1 TRUE 2052-4463 Spatially explicit material footprints: fine-scale assessment of Europe’s global environmental and social impacts (FINEPRINT, H2020 725525) FALSE yes info:eu-repo/grantAgreement/EC/H2020/725525/EU//FINEPRINT info:eu-repo/semantics/article info:eu-repo/semantics/openAccess