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Forkel, M.; Thonicke, K.; Beer, C.; Cramer, W.; Bartalev, S.; Schmullius, C.: Extreme fire events are related to previous-year surface moisture conditions in permafrost-underlain larch forests of Siberia. Environmental Research Letters 7 (4), 044021 (2012)
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Lang, M.; Fischer, J.; Sommer, J.-U.: Effect of topology on the conformations of ring polymers. Macromolecules 45 (18), pp. 7642 - 7648 (2012)
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Malik, A.; Scheibe, A.; LokaBharathi, P.; Gleixner, G.: Online stable isotope analysis of dissolved organic carbon size classes using size exclusion chromatography coupled to an isotope ratio mass spectrometer. Environmental Science and Technology 46 (18), pp. 10123 - 10129 (2012)
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Janzing, D.; Mooij, J.; Zhang, K.; Lemeire, J.; Zscheischler, J.; Daniušis, P.; Steudel, B.; Schölkopf, B.: Information-geometric approach to inferring causal directions. Artificial Intelligence 182-183, pp. 1 - 31 (2012)
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Kramer, S.; Marhan, S.; Ruess, L.; Armbruster, W.; Butenschoen, O.; Haslwimmer, H.; Kuzyakov, Y.; Pausch, J.; Scheunemann, N.; Schoene, J. et al.; Schmalwasser, A.; Totsche, K. U.; Walker, F.; Scheu, S.; Kandeler, E.: Carbon flow into microbial and fungal biomass as basis for the belowground food web of agroecosystems. Pedobiologia 55 (2), pp. 111 - 119 (2012)
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Saha, M.; Rempt, M.; Gebser, B.; Grueneberg, J.; Pohnert, G.; Weinberger, F.: Dimethylsulphopropionate (DMSP) and proline from the surface of the brown alga Fucus vesiculosus inhibit bacterial attachment. Biofouling 28 (6), pp. 593 - 604 (2012)
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Zscheischler, J.; Mahecha, M. D.; Harmeling, S.: Climate classifications: the value of unsupervised clustering. Procedia Computer Science 9, pp. 897 - 906 (2012)
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Negrón-Juárez, R. I.; Chambers, J. Q.; Marra, D. M.; Ribeiro, G. H.P.M.; Rifai, S. W.; Higuchi, N.; Roberts, D.: Detection of subpixel tree fall gaps with landsat imagery in Central Amazon forests. Remote Sensing of Environment 115 (12), pp. 3322 - 3328 (2011)
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Günther, F.; Mügler, I.; Mäusbacher, R.; Daut, G.; Leopold, K.; Gerstmann, U. C.; Xu, B.; Yao, T.; Gleixner, G.: Response of δ D values of sedimentary n-alkanes to variations in source water isotope signals and climate proxies at lake Nam Co, Tibetan Plateau. Quaternary International 236, pp. 82 - 90 (2011)
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Spielmeyer, A.; Gebser, B.; Pohnert, G.: Dimethylsulfide sources from microalgae: Improvement and application of a derivatization-based method for the determination of dimethylsulfoniopropionate and other zwitterionic osmolytes in phytoplankton. Marine Chemistry 124 (1-4), pp. 48 - 56 (2011)
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Spielmeyer, A.; Gebser, B.; Pohnert, G.: Investigations of the uptake of dimethylsulfoniopropionate by phytoplankton. Chembiochem 12 (15), pp. 2276 - 2279 (2011)
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Mügler, I.; Gleixner, G.; Günther, F.; Mäusbacher, R.; Daut, G.; Schutt, B.; Berking, J.; Schwalb, A.; Schwark, L.; Xu, B. et al.; Yao, T.; Zhu, L.; Yi, C.: A multi-proxy approach to reconstruct hydrological changes and Holocene climate development of Nam Co, Central Tibet. Journal of Paleolimnology 43 (4), pp. 625 - 648 (2010)

Book Chapter (8)

493.
Book Chapter
Kraft, B.; Besnard, S.; Koirala, S.: Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 269 - 281 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
494.
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Mateo-García, G.; Laparra, V.; Requena Mesa, C.; Gómez-Chova, L.: Generative adversarial networks in the Geosciences. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 24 - 36 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
495.
Book Chapter
Tibau, X.-A.; Reimers, C.; Requena Mesa, C.; Runge, J.: Spatio-temporal Autoencoders in Weather and Climate Research. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 186 - 203 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
496.
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Blohm, A.; Sieburg, A.; Popp, J.; Frosch, T.: Detection of gas molecules by means of spectrometric and spectroscopic methods. In: Advanced Nanostructures for Environmental Health, pp. 251 - 294 (Eds. Baia, L.; Pap, Z.; Hernadi, K.; Baia, M.). Elsevier, Amsterdam (2020)
497.
Book Chapter
Mahecha, M. D.; Guha-Sapir, D.; Smits, J.; Gans, F.; Kraemer, G.: Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In: Climate Extremes and Their Implications for Impact and Risk Assessment, pp. 243 - 256 (Eds. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)
498.
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Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes from environmental conditions using generative networks. In: Pattern Recognition, DAGM GCPR 2019, pp. 203 - 217 (Eds. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)
499.
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Lange, H.; Boese, S.: Recurrence quantification and recurrence network analysis of global photosynthetic activity. In: Recurrence Quantification Analysis: Theory and Best Practices, pp. 349 - 374 (Eds. Webber, C. L.; Marwan, N.). Springer, Cham [u.a.] (2014)
500.
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Silva, R. P.; Souza, C. A. S.; Amaral, M. R. M.; Carneiro, V. M.; Barros, P. C.; Marra, D. M.; Santos, J.; Higuchi, N.: Árvore: crescimento, desenvolvimento e sua identificação. In: A floresta amazônica e suas múltiplas dimensões: uma proposta de educação ambiental. 2ed. (Eds. Higuchi, M. I. G.; Higuchi, N.). Manaus, Brasil (2012)
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