Singular vectors and seasonal predictability by Palmer, T, Soc, A

SEASON OF BIRTH AND THE DEVELOPMENT OF THE AUTOANTIBODIES RF AND ANA by Westlake, S, Jameson, K, Dennison, E, Arden, N, Cooper, C, Edwards, C

Seasonal pattern of variation in neuromyelitis optica relapses by Elsone, L, Luppe, S, Kitley, J, Chater-Lea, P, Harding, K, Mutch, K, Leite, M, Palace, J, Robertson, N, Jacob, A

Holocene Antarctic seasonality reconstructions from barnacle shells by Burgess, SN, Henderson, G, Hall, B

Developments in dynamical seasonal forecasting relevant to agricultural management by Doblas-Reyes, F, Hagedorn, R, Palmer, T

Neuroprotective stroke trials: A ten year dry season by Buchan, A

Comparison of seasonal geochemical variability in Chinese speleothems under different climatic states by Johnson, K, Hu, C, Stewart, J, Henderson, G

SEASON OF BIRTH IS A DETERMINANT OF BONE MASS IN LATE ADULTHOOD: THE HERTFORDSHIRE COHORT STUDY by Hynes, G, Jameson, K, Harvey, N, Sayer, A, Cooper, C, Dennison, E

Testing seasonal resolution trace element and stable isotope proxies of East Asian monsoon rainfall by Johnson, K, Hu, C, Henderson, G

The DREAMS experiment on the ExoMars 2016 mission for the study of Martian environment during the dust storm season by Bettanini, C, Esposito, F, Debei, S, Molfese, C, Rodriguez, I, Colombatti, G, Harri, A, Montmessin, F, Wilson, C, Aboudan, A, Abbaki, S, Apestigue, V, Bellucci, G, Berthelier, J, Brucato, JR, Calcutt, S, Cortecchia, F, Di Achille, G, Ferri, F, Forget, F, Guizzo, G, Friso, E, Genzer, M, Gilbert, P, Haukka, H

“…The first mission consists of an orbiter and an Entry Descent and Landing Demonstrator Module (EDM) to be launched in January 2016 and is scheduled to land on the planet during the statistical dust storm season; the second mission includes a descent module, a surface platform and a rover and will be launched in 2018. …”

The DREAMS experiment flown on the ExoMars 2016 mission for the study of Martian environment during the dust storm season by Bettanini, C, Esposito, F, Debei, S, Molfese, C, Colombatti, G, Aboudan, A, Brucato, JR, Cortecchia, F, Di Achille, G, Guizzo, GP, Friso, E, Ferri, F, Marty, L, Mennella, V, Molinaro, R, Schipani, P, Silvestro, S, Mugnuolo, R, Pirrotta, S, Marchetti, E, Harri, A-M, Montmessin, F, Wilson, C, Rodriguez, I, Abbaki, S, Apestigue, V, Bellucci, G, Berthelier, J-J, Calcutt, SB, Forget, F, Genzer, M, Gilbert, P, Haukka, H, Jimenez, JJ, Jimenez, S, Josset, J-L, Karatekin, O, Landis, G, Lorenz, R, Martinez, J, Moehlmann, D, Moirin, D, Palomba, E, Patel, M, Pommereau, J-P, Popa, CI, Rafkin, S, Rannou, P, Renno, NO, Schmidt, W, Simoes, F, Spiga, A, Valero, F, Vazquez, L, Vivat, F, Witasse, O, Ieee, Team, IDREAMS

“…Although with very limited mass and energy resources, DREAMS would be able to operate autonomously for at least two Martian days (sols) after landing in a very harsh environment as it was supposed to land on Mars during the dust storm season (October 2016 in Meridiani Planum) relying on its own power supply. …”

LATITUDE BUT NOT SEASON OF INITIATION PREDICTS CLINICAL RESPONSE TO TNF THERAPY IN PATIENTS WITH RHEUMATOID ARTHRITIS: THE BSR BIOLOGICS REGISTER-RA by Javaid, M, Batra, R, Chana, J, Round, G, Judge, A, Taylor, P, Patel, S, Cooper, C

A record of seasonality in the Western Mediterranean from the LGM to recent using stable isotopes and trace elements in limpet shells by Ferguson, J, Fa, D, Finlayson, J, Henderson, G

Using social network analysis tools in ecology: Markov process transition models applied to the seasonal trophic network dynamics of the Chesapeake Bay by Johnson, J, Luczkovich, J, Borgatti, S, Snijders, T

“…Seasonal dynamics of the Chesapeake Bay ecosystem. …”

Adapting Phaëton by Burden, M

“…<p>London's opera season of 1746-47 must have seemed strange to the audience at the opera house. …”

The land surface memory - a drought prediction tool by Brown, M, Black, E, Quaife, T, Otu-Larbi, F

“…They are therefore susceptible to changes in seasonal rains from year to year that can result in agricultural drought. …”

What you see is what you get: experience ranking with deep neural dataset-to-dataset similarity for topological localisation by Gadd, M, Ramtoula, B, De Martini, D, Newman, P

“…We validate our approach over the Nordland cross-season dataset as well as data from Oxford’s University Parks with lighting and mild seasonal change, showing excellent ability of our system to rank actual localisation performance across candidate experiences.…”

MUSE: Looking for life on Earth by Penny, A, Davis, G, Calcutt, S, Drummond, JR, Naylor, D, Seager, S

“…Interpretation of these spectra will be difficult because they will depend on several imponderable factors; the axial inclination of the planet to the line of sight, the illumination of the planet by its parent star, and the planets' season and climatic state. The spectra will also contain variable components due to changing clouds, planetary rotation and the presence of large satellites. …”

Watching grass grow: long-term visual navigation and mission planning for autonomous biodiversity monitoring by Gadd, M, De Martini, D, Pitt, L, Tubby, W, Towlson, M, Prahacs, C, Bartlett, O, Jackson, J, Qi, M, Newman, P, Hector, A, Salguero-Gómez, R, Hawes, N

“…The study site is dominated by dynamic grassland vegetation and is thus visually ambiguous and liable to drastic appearance change over the course of a day and especially through the growing season. This dynamism and complexity in appearance seriously impact the stability of the robotics platform, as localisation is a foundational part of that control loop, and so routes must be carefully taught and retaught until autonomy is robust and repeatable. …”

PINGU Sensitivity to the Neutrino Mass Hierarchy by Aartsen, M, IceCube Collaboration

“…Assuming deployment of the first array elements in the 2016/17 austral summer season a 3σ measurement of the hierarchy is anticipated with PINGU in 2020. …”