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Article
Jasansky, S., Lieber, M., Giljum, S. & Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723
(2023).
An open database on global coal and metal mine production.
Scientific Data 10 (1) 10.1038/s41597-023-01965-y.
Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723, Giljum, S., da Silva, D.M., Gutschlhofer, J., da Rosa, R.P., Luckeneder, S., Gass, S.L.B., Lieber, M. & McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988
(2022).
An update on global mining land use.
Scientific Data 9 (1), e433. 10.1038/s41597-022-01547-4.
Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723, Giljum, S., Gutschlhofer, J., da Silva, D.M., Probst, M., Gass, S.L.B., Luckeneder, S., Lieber, M. & McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988
(2020).
A global-scale data set of mining areas.
Scientific Data 7 (1) 10.1038/s41597-020-00624-w.
Conference or Workshop Item
Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723, Giljum, S., Bruckner, M., Lutter, S., Lieber, M., Luckeneder, S. & Wieland, H.
(2018).
Mapping global extraction of abiotic and biotic raw materials.
In: European Geosciences Union General Assembly 2018, 9-13 April 2018, Vienna, Austria.
Data
Maus, V. ORCID: https://orcid.org/0000-0002-7385-4723, da Silva, D., Gutschlhofer, J., da Rosa, R., Giljum, S., Gass, S.L.B, Luckeneder, S., Lieber, M. & McCallum, I.
ORCID: https://orcid.org/0000-0002-5812-9988
(2022).
Global-scale mining polygons (Version 2).
10.1594/PANGAEA.942325.
Other
Oberle, B., Bringezu, S., Hatfield-Dodds, S., Hellweg, S., Schandl, H., Clement, J., Cabernard, L., Che, N., Chen, D., Droz-Georget, H., Ekins, P., Fischer-Kowalski, M., Florke, M., Frank, S. ORCID: https://orcid.org/0000-0001-5702-8547, Froemelt, A., Geschke, A., Haupt, M., Havlik, P.
ORCID: https://orcid.org/0000-0001-5551-5085, Hufner, R., Lenzen, M. et al.
(2019).
Global Resources Outlook 2019: Natural Resources for the Future We Want.
United Nations Environment Programme
, Nairobi, Kenya.
Fischer, G., Tramberend, S. ORCID: https://orcid.org/0000-0002-7024-1075, Bruckner, M. & Lieber, M.
(2017).
Quantifying the land footprint of Germany and the EU using a hybrid accounting model.
Umweltbundesamt
, Dessau-Roßlau.