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Author (up) Pastorello, G.; Trotta, C.; Canfora, E.; Chu, H.; Christianson, D.; Cheah, Y.-W.; Poindexter, C.; Chen, J.; Elbashandy, A.; Humphrey, M.; Isaac, P.; Polidori, D.; Ribeca, A.; van Ingen, C.; Zhang, L.; Amiro, B.; Ammann, C.; Arain, M.A.; Ardö, J.; Arkebauer, T.; Arndt, S.K.; Arriga, N.; Aubinet, M.; Aurela, M.; Baldocchi, D.; Barr, A.; Beamesderfer, E.; Marchesini, L.B.; Bergeron, O.; Beringer, J.; Bernhofer, C.; Berveiller, D.; Billesbach, D.; Black, T.A.; Blanken, P.D.; Bohrer, G.; Boike, J.; Bolstad, P.V.; Bonal, D.; Bonnefond, J.-M.; Bowling, D.R.; Bracho, R.; Brodeur, J.; Brümmer, C.; Buchmann, N.; Burban, B.; Burns, S.P.; Buysse, P.; Cale, P.; Cavagna, M.; Cellier, P.; Chen, S.; Chini, I.; Christensen, T.R.; Cleverly, J.; Collalti, A.; Consalvo, C.; Cook, B.D.; Cook, D.; Coursolle, C.; Cremonese, E.; Curtis, P.S.; D'Andrea, E.; da Rocha, H.; Dai, X.; Davis, K.J.; De Cinti, B.; de Grandcourt, A.; De Ligne, A.; De Oliveira, R.C.; Delpierre, N.; Desai, A.R.; Di Bella, C.M.; di Tommasi, P.; Dolman, H.; Domingo, F.; Dong, G.; Dore, S.; Duce, P.; Dufrêne, E.; Dunn, A.; Dušek, J.; Eamus, D.; Eichelmann, U.; ElKhidir, H.A.M.; Eugster, W.; Ewenz, C.M.; Ewers, B.; Famulari, D.; Fares, S.; Feigenwinter, I.; Feitz, A.; Fensholt, R.; Filippa, G.; Fischer, M.; Frank, J.; Galvagno, M.; Gharun, M.; Gianelle, D.; Gielen, B.; Gioli, B.; Gitelson, A.; Goded, I.; Goeckede, M.; Goldstein, A.H.; Gough, C.M.; Goulden, M.L.; Graf, A.; Griebel, A.; Gruening, C.; Grünwald, T.; Hammerle, A.; Han, S.; Han, X.; Hansen, B.U.; Hanson, C.; Hatakka, J.; He, Y.; Hehn, M.; Heinesch, B.; Hinko-Najera, N.; Hörtnagl, L.; Hutley, L.; Ibrom, A.; Ikawa, H.; Jackowicz-Korczynski, M.; Janouš, D.; Jans, W.; Jassal, R.; Jiang, S.; Kato, T.; Khomik, M.; Klatt, J.; Knohl, A.; Knox, S.; Kobayashi, H.; Koerber, G.; Kolle, O.; Kosugi, Y.; Kotani, A.; Kowalski, A.; Kruijt, B.; Kurbatova, J.; Kutsch, W.L.; Kwon, H.; Launiainen, S.; Laurila, T.; Law, B.; Leuning, R.; Li, Y.; Liddell, M.; Limousin, J.-M.; Lion, M.; Liska, A.J.; Lohila, A.; López-Ballesteros, A.; López-Blanco, E.; Loubet, B.; Loustau, D.; Lucas-Moffat, A.; Lüers, J.; Ma, S.; Macfarlane, C.; Magliulo, V.; Maier, R.; Mammarella, I.; Manca, G.; Marcolla, B.; Margolis, H.A.; Marras, S.; Massman, W.; Mastepanov, M.; Matamala, R.; Matthes, J.H.; Mazzenga, F.; McCaughey, H.; McHugh, I.; McMillan, A.M.S.; Merbold, L.; Meyer, W.; Meyers, T.; Miller, S.D.; Minerbi, S.; Moderow, U.; Monson, R.K.; Montagnani, L.; Moore, C.E.; Moors, E.; Moreaux, V.; Moureaux, C.; Munger, J.W.; Nakai, T.; Neirynck, J.; Nesic, Z.; Nicolini, G.; Noormets, A.; Northwood, M.; Nosetto, M.; Nouvellon, Y.; Novick, K.; Oechel, W.; Olesen, J.E.; Ourcival, J.-M.; Papuga, S.A.; Parmentier, F.-J.; Paul-Limoges, E.; Pavelka, M.; Peichl, M.; Pendall, E.; Phillips, R.P.; Pilegaard, K.; Pirk, N.; Posse, G.; Powell, T.; Prasse, H.; Prober, S.M.; Rambal, S.; Rannik, Ü.; Raz-Yaseef, N.; Reed, D.; de Dios, V.R.; Restrepo-Coupe, N.; Reverter, B.R.; Roland, M.; Sabbatini, S.; Sachs, T.; Saleska, S.R.; Sánchez-Cañete, E.P.; Sanchez-Mejia, Z.M.; Schmid, H.P.; Schmidt, M.; Schneider, K.; Schrader, F.; Schroder, I.; Scott, R.L.; Sedlák, P.; Serrano-Ortíz, P.; Shao, C.; Shi, P.; Shironya, I.; Siebicke, L.; Šigut, L.; Silberstein, R.; Sirca, C.; Spano, D.; Steinbrecher, R.; Stevens, R.M.; Sturtevant, C.; Suyker, A.; Tagesson, T.; Takanashi, S.; Tang, Y.; Tapper, N.; Thom, J.; Tiedemann, F.; Tomassucci, M.; Tuovinen, J.-P.; Urbanski, S.; Valentini, R.; van der Molen, M.; van Gorsel, E.; van Huissteden, K.; Varlagin, A.; Verfaillie, J.; Vesala, T.; Vincke, C.; Vitale, D.; Vygodskaya, N.; Walker, J.P.; Walter-Shea, E.; Wang, H.; Weber, R.; Westermann, S.; Wille, C.; Wofsy, S.; Wohlfahrt, G.; Wolf, S.; Woodgate, W.; Li, Y.; Zampedri, R.; Zhang, J.; Zhou, G.; Zona, D.; Agarwal, D.; Biraud, S.; Torn, M.; Papale, D. doi  openurl
  Title The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data Type Journal Article
  Year 2020 Publication Scientific data Abbreviated Journal Sci Data  
  Volume 7 Issue 1 Pages 225  
  Keywords article; breathing; ecophysiology; ecosystem; Eddy covariance; licence; metadata; photosynthesis; pipeline; remote sensing; time series analysis; uncertainty  
  Abstract The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.  
  Address Euro-Mediterranean Centre on Climate Change Foundation (CMCC), Lecce, 73100, Italy  
  Corporate Author Thesis  
  Publisher NLM (Medline) Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 20524463 (Issn) ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number EcoFoG @ webmaster @ Serial 958  
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