@article{FagesHanghojKhanetal.2019,
  author    = {Fages, Antoine and Hanghoj, Kristian and Khan, Naveed and Gaunitz, Charleen and Seguin-Orlando, Andaine and Leonardi, Michela and Constantz, Christian McCrory and Gamba, Cristina and Al-Rasheid, Khaled A. S. and Albizuri, Silvia and Alfarhan, Ahmed H. and Allentoft, Morten and Alquraishi, Saleh and Anthony, David and Baimukhanov, Nurbol and Barrett, James H. and Bayarsaikhan, Jamsranjav and Benecke, Norbert and Bernaldez-Sanchez, Eloisa and Berrocal-Rangel, Luis and Biglari, Fereidoun and Boessenkool, Sanne and Boldgiv, Bazartseren and Brem, Gottfried and Brown, Dorcas and Burger, Joachim and Crubezy, Eric and Daugnora, Linas and Davoudi, Hossein and Damgaard, Peter de Barros and de Chorro y de Villa-Ceballos, Maria de los Angeles and Deschler-Erb, Sabine and Detry, Cleia and Dill, Nadine and Oom, Maria do Mar and Dohr, Anna and Ellingvag, Sturla and Erdenebaatar, Diimaajav and Fathi, Homa and Felkel, Sabine and Fernandez-Rodriguez, Carlos and Garcia-Vinas, Esteban and Germonpre, Mietje and Granado, Jose D. and Hallsson, Jon H. and Hemmer, Helmut and Hofreiter, Michael and Kasparov, Aleksei and Khasanov, Mutalib and Khazaeli, Roya and Kosintsev, Pavel and Kristiansen, Kristian and Kubatbek, Tabaldiev and Kuderna, Lukas and Kuznetsov, Pavel and Laleh, Haeedeh and Leonard, Jennifer A. and Lhuillier, Johanna and von Lettow-Vorbeck, Corina Liesau and Logvin, Andrey and Lougas, Lembi and Ludwig, Arne and Luis, Cristina and Arruda, Ana Margarida and Marques-Bonet, Tomas and Silva, Raquel Matoso and Merz, Victor and Mijiddorj, Enkhbayar and Miller, Bryan K. and Monchalov, Oleg and Mohaseb, Fatemeh A. and Morales, Arturo and Nieto-Espinet, Ariadna and Nistelberger, Heidi and Onar, Vedat and Palsdottir, Albina H. and Pitulko, Vladimir and Pitskhelauri, Konstantin and Pruvost, Melanie and Sikanjic, Petra Rajic and Papesa, Anita Rapan and Roslyakova, Natalia and Sardari, Alireza and Sauer, Eberhard and Schafberg, Renate and Scheu, Amelie and Schibler, Jorg and Schlumbaum, Angela and Serrand, Nathalie and Serres-Armero, Aitor and Shapiro, Beth and Seno, Shiva Sheikhi and Shevnina, Irina and Shidrang, Sonia and Southon, John and Star, Bastiaan and Sykes, Naomi and Taheri, Kamal and Taylor, William and Teegen, Wolf-Rudiger and Vukicevic, Tajana Trbojevic and Trixl, Simon and Tumen, Dashzeveg and Undrakhbold, Sainbileg and Usmanova, Emma and Vahdati, Ali and Valenzuela-Lamas, Silvia and Viegas, Catarina and Wallner, Barbara and Weinstock, Jaco and Zaibert, Victor and Clavel, Benoit and Lepetz, Sebastien and Mashkour, Marjan and Helgason, Agnar and Stefansson, Kari and Barrey, Eric and Willerslev, Eske and Outram, Alan K. and Librado, Pablo and Orlando, Ludovic},
  title     = {Tracking five millennia of horse management with extensive ancient genome time series},
  series = {Cell},
  volume    = {177},
  journal   = {Cell},
  number    = {6},
  publisher = {Cell Press},
  address   = {Cambridge},
  issn      = {0092-8674},
  doi       = {10.1016/j.cell.2019.03.049},
  pages     = {1419 -- 1435},
  year      = {2019},
  abstract  = {Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (>= 1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modem legacy of past equestrian civilisations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN "speed gene," only rose in popularity within the last millennium. Finally, the development of modem breeding impacted genetic diversity more dramatically than the previous millennia of human management.},
  language  = {en}
}
@article{KalkbrennerHakansonSchadleetal.2005,
  author    = {Kalkbrenner, T. and Hakanson, U. and Schadle, A. and Burger, S. and Henkel, Carsten and Sandoghdar, Vahid},
  title     = {Optical microscopy via spectral modifications of a nanoantenna},
  issn      = {0031-9007},
  year      = {2005},
  abstract  = {The existing optical microscopes form an image by collecting photons emitted from an object. Here we report on the experimental realization of microscopy without the need for direct optical communication with the sample. To achieve this, we have scanned a single gold nanoparticle acting as a nanoantenna in the near field of a sample and have studied the modification of its intrinsic radiative properties by monitoring its plasmon spectrum},
  language  = {en}
}
@article{BuergerSobieCannonetal.2013,
  author    = {B{\"u}rger, Gerd and Sobie, S. R. and Cannon, A. J. and Werner, A. T. and Murdock, T. Q.},
  title     = {Downscaling extremes an intercomparison of multiple methods for future climate},
  series = {Journal of climate},
  volume    = {26},
  journal   = {Journal of climate},
  number    = {10},
  publisher = {American Meteorological Soc.},
  address   = {Boston},
  issn      = {0894-8755},
  doi       = {10.1175/JCLI-D-12-00249.1},
  pages     = {3429 -- 3449},
  year      = {2013},
  abstract  = {This study follows up on a previous downscaling intercomparison for present climate. Using a larger set of eight methods the authors downscale atmospheric fields representing present (1981-2000) and future (2046-65) conditions, as simulated by six global climate models following three emission scenarios. Local extremes were studied at 20 locations in British Columbia as measured by the same set of 27 indices, ClimDEX, as in the precursor study. Present and future simulations give 2 x 3 x 6 x 8 x 20 x 27 = 155 520 index climatologies whose analysis in terms of mean change and variation is the purpose of this study. The mean change generally reinforces what is to be expected in a warmer climate: that extreme cold events become less frequent and extreme warm events become more frequent, and that there are signs of more frequent precipitation extremes. There is considerable variation, however, about this tendency, caused by the influence of scenario, climate model, downscaling method, and location. This is analyzed using standard statistical techniques such as analysis of variance and multidimensional scaling, along with an assessment of the influence of each modeling component on the overall variation of the simulated change. It is found that downscaling generally has the strongest influence, followed by climate model; location and scenario have only a minor influence. The influence of downscaling could be traced back in part to various issues related to the methods, such as the quality of simulated variability or the dependence on predictors. Using only methods validated in the precursor study considerably reduced the influence of downscaling, underpinning the general need for method verification.},
  language  = {en}
}