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541.
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Information-geometric approach to inferring causal directions. Artificial Intelligence 182-183, pp. 1 - 31 (2012)
542.
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Carbon flow into microbial and fungal biomass as basis for the belowground food web of agroecosystems. Pedobiologia 55 (2), pp. 111 - 119 (2012)
543.
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Dimethylsulphopropionate (DMSP) and proline from the surface of the brown alga Fucus vesiculosus inhibit bacterial attachment. Biofouling 28 (6), pp. 593 - 604 (2012)
544.
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Climate classifications: the value of unsupervised clustering. Procedia Computer Science 9, pp. 897 - 906 (2012)
545.
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Detection of subpixel tree fall gaps with landsat imagery in Central Amazon forests. Remote Sensing of Environment 115 (12), pp. 3322 - 3328 (2011)
546.
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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)
547.
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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)
548.
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Investigations of the uptake of dimethylsulfoniopropionate by phytoplankton. Chembiochem 12 (15), pp. 2276 - 2279 (2011)
549.
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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)
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550.
Book Chapter
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)
551.
Book Chapter
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)
552.
Book Chapter
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)
553.
Book Chapter
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)
554.
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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)
555.
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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)
556.
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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)
557.
Book Chapter
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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558.
Conference Paper
Multi-modal learning for geospatial vegetation forecasting. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle , June 17, 2024 - June 21, 2024. (2024)
559.
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Multi-frequency radiometry for multi-year monitoring of relative water content in a temperate forest. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 2739 - 2742. IGARSS 2023, Pasadena, CA, USA , July 16, 2023 - July 21, 2023. (2023)
560.
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On the potential of active and passive microwave remote sensing for tracking seasonal dynamics of evapotranspiration. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 2610 - 2613. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, July 16, 2023 - July 21, 2023. IEEE (2023)