Mcmahon, D., Natsopoulou, M., Doublet, V., Fürst, M., Weging, S., Brown, M.,https://doi.org/10.5061/dryad.cq7t1__Paxton, R. (2016). Data from: Elevated virulence of an emerging viral genotype as a driver of honeybee loss. Dryad.https://doi.org/10.5061/dryad.cq7t1 
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Serbyn, M., Michailidis, A., Abanin, D., &; Papi, Z. (2016). Power-law entanglement spectrum in many-body localized phases. Physical Review Letters. American Physical Society.https://doi.org/10.1103/PhysRevLett.117.160601 
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Serbyn, M., &; Moore, J. (2016). Spectral statistics across the many-body localization transition. Physical Review B - Condensed Matter and Materials Physics. American Physical Society.https://doi.org/10.1103/PhysRevB.93.041424 
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Hilbe, C., Hagel, K., &; Milinski, M. (2016). Asymmetric power boosts extortion in an economic experiment. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0163867 
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Hillenbrand, P., Gerland, U., &; Tkadik, G. (2016). Beyond the French flag model: Exploiting spatial and gene regulatory interactions for positional information. PLoS One. Public Library of Science.https://doi.org/10.1371/journal.pone.0163628 
LibreCat: https://research-explorer.ista.ac.at/record/1270
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Boehm, A., Arnoldini, M., Bergmiller, T., Röösli, T., Bigosch, C., &; Ackermann, M. (2016). Genetic manipulation of glycogen allocation affects replicative lifespan in E coli. PLoS Genetics. Public Library of Science.https://doi.org/10.1371/journal.pgen.1005974 
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Dumitrescu, P., Serbyn, M., Scalettar, R., &; Vishwanath, A. (2016). Superconductivity and nematic fluctuations in a model of doped FeSe monolayers: Determinant quantum Monte Carlo study. Physical Review B - Condensed Matter and Materials Physics. American Physical Society.https://doi.org/10.1103/PhysRevB.94.155127 
LibreCat: https://research-explorer.ista.ac.at/record/987
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Carenzo, M., Pellicciotti, F., Mabillard, J., Reid, T., &; Brock, B. W. (2016). An enhanced temperature index model for debris-covered glaciers accounting for thickness effect. Advances in Water Resources. Elsevier.https://doi.org/10.1016/j.advwatres.2016.05.001 
LibreCat: https://research-explorer.ista.ac.at/record/12620
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Ragettli, S., Immerzeel, W. W., &; Pellicciotti, F. (2016). Contrasting climate change impact on river flows from high-altitude catchments in the Himalayan and Andes Mountains. PNAS. Proceedings of the National Academy of Sciences.https://doi.org/10.1073/pnas.1606526113 
LibreCat: https://research-explorer.ista.ac.at/record/12618
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PMID: 27482082

Kraaijenbrink, P., Meijer, S. W., Shea, J. M., Pellicciotti, F., De Jong, S. M., &; Immerzeel, W. W. (2016). Seasonal surface velocities of a Himalayan glacier derived by automated correlation of unmanned aerial vehicle imagery. Annals of Glaciology. International Glaciological Society.https://doi.org/10.3189/2016aog71a072 
LibreCat: https://research-explorer.ista.ac.at/record/12625
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BRUN, F., BURI, P., MILES, E. S., WAGNON, P., STEINER, J., BERTHIER, E.,https://doi.org/10.1017/jog.2016.54__Pellicciotti, F. (2016). Quantifying volume loss from ice cliffs on debris-covered glaciers using high-resolution terrestrial and aerial photogrammetry. Journal of Glaciology. Cambridge University Press.https://doi.org/10.1017/jog.2016.54 
LibreCat: https://research-explorer.ista.ac.at/record/12619
DOI: 10.1017/jog.2016.54

Heynen, M., Miles, E., Ragettli, S., Buri, P., Immerzeel, W. W., &; Pellicciotti, F. (2016). Air temperature variability in a high-elevation Himalayan catchment. Annals of Glaciology. International Glaciological Society.https://doi.org/10.3189/2016aog71a076 
LibreCat: https://research-explorer.ista.ac.at/record/12622
DOI: 10.3189/2016aog71a076

Miles, E. S., Pellicciotti, F., Willis, I. C., Steiner, J. F., Buri, P., &; Arnold, N. S. (2016). Refined energy-balance modelling of a supraglacial pond, Langtang Khola, Nepal. Annals of Glaciology. International Glaciological Society.https://doi.org/10.3189/2016aog71a421 
LibreCat: https://research-explorer.ista.ac.at/record/12624
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Buri, P., Pellicciotti, F., Steiner, J. F., Miles, E. S., &; Immerzeel, W. W. (2016). A grid-based model of backwasting of supraglacial ice cliffs on debris-covered glaciers. Annals of Glaciology. International Glaciological Society.https://doi.org/10.3189/2016aog71a059 
LibreCat: https://research-explorer.ista.ac.at/record/12623
DOI: 10.3189/2016aog71a059

SHAW, T. E., BROCK, B. W., FYFFE, C. L., Pellicciotti, F., RUTTER, N., &; DIOTRI, F. (2016). Air temperature distribution and energy-balance modelling of a debris-covered glacier. Journal of Glaciology. Cambridge University Press.https://doi.org/10.1017/jog.2016.31 
LibreCat: https://research-explorer.ista.ac.at/record/12621
DOI: 10.1017/jog.2016.31

Buri, P., Miles, E. S., Steiner, J. F., Immerzeel, W. W., Wagnon, P., &; Pellicciotti, F. (2016). A physically based 3D model of ice cliff evolution over debriscovered glaciers. Journal of Geophysical Research: Earth Surface. American Geophysical Union.https://doi.org/10.1002/2016jf004039 
LibreCat: https://research-explorer.ista.ac.at/record/12613
DOI: 10.1002/2016jf004039

Ragettli, S., Bolch, T., &; Pellicciotti, F. (2016). Heterogeneous glacier thinning patterns over the last 40 years in Langtang Himal, Nepal. The Cryosphere. Copernicus Publications.https://doi.org/10.5194/tc-10-2075-2016 
LibreCat: https://research-explorer.ista.ac.at/record/12617
DOI: 10.5194/tc-10-2075-2016

Park, K., Kim, M. Y., Vickers, M., Park, J.-S., Hyun, Y., Okamoto, T.,https://doi.org/10.1073/pnas.1619047114__Scholten, S. (2016). DNA demethylation is initiated in the central cells of Arabidopsis and rice. Proceedings of the National Academy of Sciences. National Academy of Sciences.https://doi.org/10.1073/pnas.1619047114 
LibreCat: https://research-explorer.ista.ac.at/record/9477
DOI: 10.1073/pnas.1619047114
PMID: 27956642

Hsieh, P.-H., He, S., Buttress, T., Gao, H., Couchman, M., Fischer, R. L.,https://doi.org/10.1073/pnas.1619074114__Feng, X. (2016). Arabidopsis male sexual lineage exhibits more robust maintenance of CG methylation than somatic tissues. Proceedings of the National Academy of Sciences. National Academy of Sciences.https://doi.org/10.1073/pnas.1619074114 
LibreCat: https://research-explorer.ista.ac.at/record/9473
DOI: 10.1073/pnas.1619074114
PMID: 27956643

Schlögl, A., &; Stadlbauer, S. (2016). High performance computing at IST Austria: Modelling the human hippocampus. In AHP - Austrian HPC Meeting 2016 (p. 37). Grundlsee, Austria: VSC - Vienna Scientific Cluster.
LibreCat: https://research-explorer.ista.ac.at/record/12903