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- Creator:
- Schulz, Norbert S.
- Abstract:
- An experiment has been conducted using a triple directional correlation method developed by K. S. Krane, R. M. Steffen and R. M. Wheeler (ref. 3). This method is presented and two normal detection geometries are introduced. The performance of the N1- and N2- geometry was studied in four experiments using...
- Resource Type:
- Masters Thesis
- Full Text:
- ABSTRACT OF THE THESIS OF Norbert S. Schulz for the degree of Master of Science in Physics presented on
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- Creator:
- Rosell-Melé, A., Bard, E., Emeis, K.-C., Grimalt, J. O., Muller, P., Schneider, R., Bouloubassi, I., Epstein, B., Fahl, K., Fluegge, A., Freeman, K., Goñi, M., Güntner, U., Hartz, D., Hellebust, S., Herbert, T., Ikehara, M., Ishiwatari, R., Kawamura, K., Kenig, F., de Leeuw, J., Lehman, S., Mejanelle, L., Ohkouchi, N., Pancost, R. D., Pelejero, C., Prahl, Fredrick, Quinn, J., Rontani, J.-F., Rostek, F., Rullkötter, J., Sachs, J., Blanz, T., Sawada, K., Schulz-Bull, D., Sikes, E., Sonzogni, C., Ternois, Y., Versteegh, G., Volkman, J. K., and Wakeham, S.
- Abstract:
- Measurements of the U₃₇ K’ index and the absolute abundance of alkenones in marine sediments are increasingly used in paleoceanographic research as proxies of past sea surface temperature and haptophyte (mainly coccolith-bearing species) primary productivity, respectively. An important aspect of these studies is to be able to compare reliably data...
- Resource Type:
- Article
- Full Text:
- of South Carolina, Columbia, South Carolina 29208, USA S. Hellebust Department Fossil Fuels and
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- Creator:
- Deans, Andrew R., Lewis, Suzanna E., Huala, Eva, Anzaldo, Salvatore S., Ashburner, Michael, Balhoff, James P., Blackburn, David C., Blake, Judith A., Burleigh, J. Gordon, Chanet, Bruno, Cooper, Lauren D., Courtot, Mélanie, Csösz, Sándor, Cul, Hong, Dahdul, Wasila, Das, Sandip, Dececchi, T. Alexander, Dettal, Agnes, Diogo, Rui, Druzinsky, Robert E., Dumontier, Michel, Franz, Nico M., Friedrich, Frank, Gkoutos, George V., Haendel, Melissa, Harmon, Luke J., Hayamizu, Terry F., He, Yongqun, Hines, Heather M., Ibrahim, Nizar, Jackson, Laura M., Jaiswal, Pankaj, James-Zorn, Christina, Köhler, Sebastian, Lecointre, Guillaume, Lapp, Hilmar, Lawrence, Carolyn J., Le Novère, Nicolas, Lundberg, John G., Macklin, James, Mast, Austin R., Midford, Peter E., Mikó, István, Mungall, Christopher J., Oellrich, Anika, Osumi-Sutherland, David, Parkinson, Helen, Ramírez, Martín J., Richter, Stefan, Robinson, Peter N., Ruttenberg, Alan, Schulz, Katja S., Segerdell, Erik, Seltmann, Katja C., Sharkey, Michael J., Smith, Aaron D., Smith, Barry, Specht, Chelsea D., Squires, R. Burke, Thacker, Robert W., Thessen, Anne, Fernandez-Triana, Jose, Vihinen, Mauno, Vize, Peter D., Vogt, Lars, Wall, Christine E., Walls, Ramona L., Westerfeld, Monte, Wharton, Robert A., Wirkner, Christian S., Woolley, James B., Yoder, Matthew J., Zorn, Aaron M., and Mabee, Paula
- Abstract:
- Despite a large and multifaceted effort to understand the vast landscape of phenotypic data, their current form inhibits productive data analysis. The lack of a community-wide, consensus-based, human- and machine-interpretable language for describing phenotypes and their genomic and environmental contexts is perhaps the most pressing scientific bottleneck to integration across...
- Resource Type:
- Article
- Full Text:
- through Phenotypes Deans, A. R., Lewis, S. E., Huala, E., Anzaldo, S. S., Ashburner, M., et al. (2015