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    "citationBibTex": "@misc{https://doi.org/10.18160/5nzg-jmje,\n  doi = {10.18160/5NZG-JMJE},\n  url = {https://meta.icos-cp.eu/collections/zfwf1Ak2I7OlziGDTX8Xl6_T},\n  author = {Nelson, Jacob A. and Walther, Sophia and Jung, Martin and Gans, Fabian and Kraft, Basil and Weber, Ulrich and Hamdi, Zayd and Duveiller, Gregory and Zhang, Weijie},\n  keywords = {BIOGEOCHEMICAL CYCLES, CARBON, ECOSYSTEM FUNCTIONS, FLUXCOM, LAND SURFACE, TERRESTRIAL ECOSYSTEMS, VEGETATION, biosphere modeling, carbon flux, FLUXCOM-X},\n  title = {FLUXCOM-X-BASE},\n  publisher = {ICOS ERIC -- Carbon Portal},\n  year = {2023},\n  copyright = {Creative Commons Attribution 4.0 International}\n}",
    "citationRis": "TY  - DATA\r\nT1  - FLUXCOM-X-BASE\r\nAU  - Nelson, Jacob A.\r\nAU  - Walther, Sophia\r\nAU  - Jung, Martin\r\nAU  - Gans, Fabian\r\nAU  - Kraft, Basil\r\nAU  - Weber, Ulrich\r\nAU  - Hamdi, Zayd\r\nAU  - Duveiller, Gregory\r\nAU  - Zhang, Weijie\r\nDO  - 10.18160/5NZG-JMJE\r\nUR  - https://meta.icos-cp.eu/collections/zfwf1Ak2I7OlziGDTX8Xl6_T\r\nAB  - The X-BASE products are global fluxes based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce these global products. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorological data, plant functional type classification as well as MODIS based vegetation indices and land surface temperature. XGBoost was used as the machine learning algorithm.\n\nPublished paper: \nNelson, J. A., Walther, S., Gans, F., Kraft, B., Weber, U., Novick, K., Buchmann, N., Migliavacca, M., Wohlfahrt, G., Šigut, L., Ibrom, A., Papale, D., Göckede, M., Duveiller, G., Knohl, A., Hörtnagl, L., Scott, R. L., Zhang, W., Hamdi, Z. M., Reichstein, M., Aranda-Barranco, S., Ardö, J., Op de Beeck, M., Billesbach, D., Bowling, D., Bracho, R., Brümmer, C., Camps-Valls, G., Chen, S., Cleverly, J. R., Desai, A., Dong, G., El-Madany, T. S., Euskirchen, E. S., Feigenwinter, I., Galvagno, M., Gerosa, G. A., Gielen, B., Goded, I., Goslee, S., Gough, C. M., Heinesch, B., Ichii, K., Jackowicz-Korczynski, M. A., Klosterhalfen, A., Knox, S., Kobayashi, H., Kohonen, K.-M., Korkiakoski, M., Mammarella, I., Gharun, M., Marzuoli, R., Matamala, R., Metzger, S., Montagnani, L., Nicolini, G., O'Halloran, T., Ourcival, J.-M., Peichl, M., Pendall, E., Ruiz Reverter, B., Roland, M., Sabbatini, S., Sachs, T., Schmidt, M., Schwalm, C. R., Shekhar, A., Silberstein, R., Silveira, M. L., Spano, D., Tagesson, T., Tramontana, G., Trotta, C., Turco, F., Vesala, T., Vincke, C., Vitale, D., Vivoni, E. R., Wang, Y., Woodgate, W., Yepez, E. A., Zhang, J., Zona, D., and Jung, M.: X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X, Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, 2024. \r\nKW  - BIOGEOCHEMICAL CYCLES\r\nKW  - CARBON\r\nKW  - ECOSYSTEM FUNCTIONS\r\nKW  - FLUXCOM\r\nKW  - LAND SURFACE\r\nKW  - TERRESTRIAL ECOSYSTEMS\r\nKW  - VEGETATION\r\nKW  - biosphere modeling\r\nKW  - carbon flux\r\nKW  - FLUXCOM-X\r\nPY  - 2023\r\nPB  - ICOS ERIC -- Carbon Portal\r\nER  -",
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