10 Works

A critical literature review of spatio-temporal simulation methods for daylight glare assessment

Stephen Wasilewski, Lars Oliver Grobe, Jan Wienold & Marilyne Andersen

Data from: Male competition and the evolution of mating and life history traits in experimental populations of Aedes aegypti

Alima Qureshi, Andrew Aldersley, Brian Hollis, Alongkot Ponlawat & Lauren J. Cator
Aedes aegypti is an important disease vector and a major target of reproductive control efforts. We manipulated the opportunity for sexual selection in populations of Ae. aegypti by controlling the number of males competing for a single female. Populations exposed to higher levels of male competition rapidly evolved higher male competitive mating success relative to populations evolved in the absence of competition, with an evolutionary response visible after only five generations. We also detected correlated...

Data from: Mitotic chromosome binding predicts transcription factor properties in interphase

Mahé Raccaud, Elias T. Friman, Andrea B. Alber, Harsha Agarwal, Cédric Deluz, Timo Kuhn, J. Christof M. Gebhardt & David M. Suter
Mammalian transcription factors (TFs) differ broadly in their nuclear mobility and sequence-specific/non-specific DNA binding. How these properties affect their ability to occupy specific genomic sites and modify the epigenetic landscape is unclear. The association of TFs with mitotic chromosomes observed by fluorescence microscopy is largely mediated by non-specific DNA interactions and differs broadly between TFs. Here we combine quantitative measurements of mitotic chromosome binding (MCB) of 501 TFs, TF mobility measurements by fluorescence recovery after...

Comparative analysis of time-based and quadrat sampling in seasonal population dynamics of intermediate hosts of human schistosomes

Francisco Javier Perez-Saez, Theophile Mande, Dramane Zongo & Andrea Rinaldo
Background Despite their importance for designing and evaluating schistosomiasis control trials, little attention in the literature has been dedicated to sampling protocols for the parasite's snail intermediate hosts since their first development. We propose a comparative analysis of time-based and quadrat sampling protocols to quantify the seasonal variations in the abundance of these aquatic snail species of medical importance. Methodology/Principal Findings Snail populations were monitored during 42 consecutive months in three types of habitats (ephemeral...

Data from: Genome-wide variation in nucleotides and retrotransposons in alpine populations of Arabis alpina (Brassicaceae)

Aude Rogivue, Rimjhim Roy Choudhury, Stefan Zoller, Stéphane Joost, Francois Felber, Michel Kasser, Christian Parisod & Felix Gugerli
Advances in high-throughput sequencing have promoted the collection of reference genomes and genome-wide diversity. However, the assessment of genomic variation among populations has hitherto mainly been surveyed through single-nucleotide polymorphisms (SNPs) and largely ignored the often major fraction of genomes represented by transposable elements (TEs). Despite accumulating evidence supporting the evolutionary significance of TEs, comprehensive surveys remain scarce. Here, we sequenced the full genomes of 304 individuals of Arabis alpina sampled from four nearby natural...

Data from: Seasonal variability of groundwater level effects on the growth of Carex cinerascens in lake wetlands

Wenjuan Feng, Pierre Mariotte, Xu Ligang, Alexandre Buttler, Luca Bragazza, Jiahu Jiang & Mathieu Santonja
Groundwater level is crucial for wetland plant growth and reproduction, but the extent of its effect on plant growth can vary along with changed precipitation and temperature at different seasons. In this context, we investigated the effect of two groundwater levels (10 cm vs. 20 cm depth) on growth and reproductive parameters of Carex cinerascens, a dominant plant species in the Poyang Lake wetland, during three seasons (spring, summer and autumn) and during two consecutive...

Data from: A novel biomechanical approach for animal behaviour recognition using accelerometers

Pritish Chakravarty, Gabriele Cozzi, Arpat Ozgul & Kamiar Aminian
Data from animal‐borne inertial sensors are widely used to investigate several aspects of an animal's life, such as energy expenditure, daily activity patterns and behaviour. Accelerometer data used in conjunction with machine learning algorithms have been the tool of choice for characterising animal behaviour. Although machine learning models perform reasonably well, they may not rely on meaningful features, nor lend themselves to physical interpretation of the classification rules. This lack of interpretability and control over...

Data from: One-shot learning and behavioral eligibility traces in sequential decision making

Marco P. Lehmann, He A. Xu, Vasiliki Liakoni, Michael H. Herzog, Wulfram Gerstner & Kerstin Preuschoff
In many daily tasks we make multiple decisions before reaching a goal. In order to learn such sequences of decisions, a mechanism to link earlier actions to later reward is necessary. Reinforcement learning theory suggests two classes of algorithms solving this credit assignment problem: In classic temporal-difference learning, earlier actions receive reward information only after multiple repetitions of the task, whereas models with eligibility traces reinforce entire sequences of actions from a single experience (one-shot)....

Data from: Sampling strategy optimization to increase statistical power in landscape genomics: a simulation-based approach

Oliver Selmoni, Elia Vajana, Annie Guillaume, Estelle Rochat & Stéphane Joost
An increasing number of studies are using landscape genomics to investigate local adaptation in wild and domestic populations. The implementation of this approach requires the sampling phase to consider the complexity of environmental settings and the burden of logistic constraints. These important aspects are often underestimated in the literature dedicated to sampling strategies. In this study, we computed simulated genomic datasets to run against actual environmental data in order to trial landscape genomics experiments under...

Data from: Organic functional group and organic matter concentrations from FT-IR measurements of particulate matter samples in the Southeastern Aerosol Research and Characterization (SEARCH) network from 2009-2016

Ann M. Dillner, Alexandra J. Boris, Satoshi Takahama, Andrew T. Weakley, Bruno Debus, Carley D. Frederickson, Martin Esparza-Sanchez, Charlotte Burke, Matteo Reggente, Stephanie L. Shaw & Eric S. Edgerton
This dataset contains organic functional group, organic matter (OM), organic carbon (OC) concentration measurements at five sites in the SEARCH network from 2009-2016. Spectra from each sample are included, in the format used in these papers. The sampling sites are urban Birmingham (BHM) and rural Centreville (CTR) in Alabama, urban Jefferson Street, Atlanta (JST) and rural Yorkville (YRK) in Georgia, and rural Outlying Landing Field (OLF) near Pensacola in Florida as well as a co-located...

Registration Year

  • 2019

Resource Types

  • Dataset
  • Text


  • École Polytechnique Fédérale de Lausanne
  • University of Neuchâtel
  • University of Geneva
  • Armed Forces Research Institute of Medical Science
  • University of Zurich
  • Electric Power Research Institute
  • University of Bern
  • University of Ulm
  • Aix-Marseille University
  • Imperial College London