Impact of Spatial Soil and Climate Input Data Aggregation on Regional Yield Simulations

This work was financially supported by the German Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE), (2851ERA01J). FT and RPR were supported by FACCE MACSUR (3200009600) through the Finnish Ministry of Agriculture and Forestry (MMM). EC, HE and EL were supported by The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (220-2007-1218) and by the strategic funding ‘Soil-Water-Landscape’ from the faculty of Natural Resources and Agricultural Sciences (Swedish University of Agricultural Sciences) and thank professor P-E Jansson (Royal Institute of Technology, Stockholm) for support. JC, HR and DW thank the INRA ACCAF metaprogramm for funding and Eric Casellas from UR MIAT INRA for support. CB was funded by the Helmholtz project “REKLIM—Regional Climate Change”. CK was funded by the HGF Alliance “Remote Sensing and Earth System Dynamics” (EDA). FH was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) under the Grant FOR1695. FE and SS acknowledge support by the German Science Foundation (project EW 119/5-1). HH, GZ, SS, TG and FE thank Andreas Enders and Gunther Krauss (INRES, University of Bonn) for support. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Automated data analysis to rapidly derive and communicate ecological insights from satellite-tag data : A case study of reintroduced red kites

Acknowledgements We thank Andrew Spink (Noldus Information Technology) and the Blogging Birds team members Peter Kindness and Abdul Adeniyi for their valuable contributions to this paper. John Fryxell, Chris Thaxter and Arjun Amar provided valuable comments on an earlier version. The study was part of the Digital Conservation project of dot.rural, the University of Aberdeen’s Digital Economy Research Hub, funded by RCUK (grant reference EP/G066051/1).

A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?

Funded by COST (European Cooperation in Science and Technology) CEH projects. Grant Numbers: NEC05264, NEC05100 Natural Environment Research Council UK. Grant Number: NE/J008001/1 © 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Zeta potential in intact natural sandstones at elevated temperatures

Supporting data are included in PDF and CSV files; any additional data may be obtained from the corresponding author (e-mail: j.vinogradov@imperial.ac.uk). TOTAL is thanked for partial support of Jackson's Chair in Geological Fluid Mechanics and for supporting the activities of the TOTAL Laboratory for Reservoir Physics at Imperial College London where these experiments were conducted. The Editor thanks Andre Revil and Paul Glover for their assistance in evaluating this paper.

Evidence of positive selection associated with placental loss in tiger sharks

Acknowledgements We thank staff at the Cape Eleuthera Institute for assistance in the field, Dominique Barthelemy and Jean Goasdoue for providing samples, and Helen Hipperson for assistance in the lab.

Estimation of Inequality Indices of the Cumulative Distribution Function

Date of Acceptance: 02/03/2015

Should weight loss and maintenance programmes be designed differently for men? : A systematic review of long-term randomised controlled trials presenting data for men and women: The ROMEO project

Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved. Acknowledgements This review is one of a series of systematic reviews for the ROMEO project (Review Of MEn and Obesity), funded by the National Institute for Health Research, Health Technology Assessment Programme (NIHR HTA Project 09/127/01; Systematic reviews and integrated report on the quantitative and qualitative evidence base for the management of obesity in men http://www.hta.ac.uk/2545). The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the Department of Health. HERU, HSRU and NMAHP are funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. The authors accept full responsibility for this publication. We would also like to thank the Men's Health Forums of Scotland, Ireland, England and Wales: Tim Street, Paula Carroll, Colin Fowler and David Wilkins. We also thank Kate Jolly for further information about the Lighten Up trial.

Estimation of Inequality Indices of the Cumulative Distribution Function

Date of Acceptance: 02/03/2015

Should weight loss and maintenance programmes be designed differently for men? : A systematic review of long-term randomised controlled trials presenting data for men and women: The ROMEO project

Crown Copyright © 2015. Published by Elsevier Ltd. All rights reserved. Acknowledgements This review is one of a series of systematic reviews for the ROMEO project (Review Of MEn and Obesity), funded by the National Institute for Health Research, Health Technology Assessment Programme (NIHR HTA Project 09/127/01; Systematic reviews and integrated report on the quantitative and qualitative evidence base for the management of obesity in men http://www.hta.ac.uk/2545). The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the Department of Health. HERU, HSRU and NMAHP are funded by the Chief Scientist Office of the Scottish Government Health and Social Care Directorates. The authors accept full responsibility for this publication. We would also like to thank the Men's Health Forums of Scotland, Ireland, England and Wales: Tim Street, Paula Carroll, Colin Fowler and David Wilkins. We also thank Kate Jolly for further information about the Lighten Up trial.

Using individual tracking data to validate the predictions of species distribution models

The authors would like to thank the College of Life Sciences of Aberdeen University and Marine Scotland Science which funded CP's PhD project. Skate tagging experiments were undertaken as part of Scottish Government project SP004. We thank Ian Burrett for help in catching the fish and the other fishermen and anglers who returned tags. We thank José Manuel Gonzalez-Irusta for extracting and making available the environmental layers used as environmental covariates in the environmental suitability modelling procedure. We also thank Jason Matthiopoulos for insightful suggestions on habitat utilization metrics as well as Stephen C.F. Palmer, and three anonymous reviewers for useful suggestions to improve the clarity and quality of the manuscript.

Use of NeuroEyeCoach™ to Improve Eye Movement Efficacy in Patients with Homonymous Visual Field Loss

Acknowledgements: We would like to thank Sigrid Kenkel, Susanne Muller, Valentina Varalta, Cristina Fonte, Venecia Alb and Cristina Racasan who have contributed to data collection. Declaration of Interest: AS is Chief Science Officer of NovaVision Inc. NS has no conflict of interest. JZ is a member of the Scientific Advisory Board of NovaVision Inc. This study was supported by a NovaVision Inc. research grant to AS.