5th Data Science Symposium, GEOMAR

Autor: Mehrtens, Hela, Henkel, Daniela, Wiemer, Gauvain, Betz, Maximilian, Immoor, Sebastian, Daniela, Ransby, Koppe, Roland, Gerchow, Peter, Immerz, Antonia, Schumacher, Stefanie, Felden, Janine, Glöckner, Frank Oliver, Lange, Nico, Pfeil, Benjamin, Jones, Steve, D., O'Brien, Kevin, M., Fiedler, Björn, Tanhua, Toste, Silva, Brenner, Kerzenmacher, Tobias, Kozlov, Valentin, Sanchis, Borja, Cayoglu, Ugur, Hardt, Marcus, Braesicke, Peter, Heß, Robin, Albers, Karen, Balamurugan, Aarthi, Jaswal, Shahzeib, Konopatzky, Peter, Mahdavi, Alireza, Walter, Andreas, Sommer, Philipp, Wichert, Victoria, Eggert, Daniel, Dinter, Tilman, Getzlaff, Klaus, Lehmann, Andreas, Werner, Christian, Schmidt, Lennart, Schäfer, Angela, Lange, Lea, Dierking, Jan, Thomisch, Karolin, Flau, Michael, Trautmüller, Andy, Boebel, Olaf, Schirnick, Carsten, Scheinert, Markus, Faber, Claas, Weng, Franziska, Paglialonga, Lisa, Vlasenko, Andrey, Mattias, Volker, Callies, Ulrich, Marien, Lennart, Valizadeh, Mahyar, zu Castell, Wolfgang, Schneider, Alexandra, Wolff, Katrin, Rechid, Diana, Bouwer, Laurens, Nitze, Ingmar, Christmann, Julia, Phan, Long Duc, Rueckamp, Martin, Humbert, Angelika, Grosse, Guido, Frickenhaus, Stephan, Gonzales, Evarardy, Burwicz, Ewa, Boog, Johannes, Ebeling, Pia, Houben, Timo, Khurana, Swamini, Schmid, Julia, Trahms, Carola, Renz, Matthias, Visbeck, Martin, Sun, Jianing, Blome, Tanja, El Zohbi, Juliane, Schultz, Martin, Hassler, Sibylle, Azmi, Elnaz, Mälicke, Mirko, Meyer, Jörg, Strobl, Marcus, Zehe, Erwin, Anselm, Norbert, Fischer, Philipp, Bussmann, Ingeborg, Achterberg, Eric P., Brix, Holger, Ködel, Uta, Dietrich, Peter, Ebert, Barbara, Mieruch-Schnülle, Sebastian, Schlitzer, Reiner, Mbani, Benson, Greinert, Jens, Schoening, Timm, Koch, Reinhard, Buck, Valentin, Staebler, Flemming

Publikováno v: EPIC35th Data Science Symposium, Online/ Kiel, 2021-01-22-2021-01-22Kiel, GEOMAR

Modern digital scientific workflows - often implying Big Data challenges - require data infrastructures and innovative data science methods across disciplines and technologies. Diverse activities within and outside HGF deal with these challenges, on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______999::eebe24bb46008800e36724a39f589057
https://hdl.handle.net/10013/epic.527dd0f0-c28b-4b66-9b87-01e9b0b20cd0