Paper corpus
The following articles (A-Z) and ERCs have been created by the o2r team to demonstrate the feasibility and features of the o2r reproducibility service and platform.
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Bolin D, Frigessi A, Guttorp P, Haug O, Orskaug E, Scheel I and Wallin J (2016), “Calibrating regionally downscaled precipitation over Norway through quantile-based approaches”, Advances in Statistical Climatology, Meteorology and Oceanography. Vol. 2(1), pp. 39-47.
DOI: http://doi.org/10.5194/ascmo-2-39-2016
ERC: https://o2r.uni-muenster.de/#!/erc/czPWq
Bond-Lamberty B, Smith AP and Bailey V (2016), “Temperature and moisture effects on greenhouse gas emissions from deep active-layer boreal soils”, Biogeosciences. Vol. 13(24), pp. 6669-6681.
DOI: http://doi.org/10.5194/bg-13-6669-2016
ERC: https://o2r.uni-muenster.de/#!/erc/8s9bP
van Buuren S and Groothuis-Oudshoorn K (2011), “mice: Multivariate Imputation by Chained Equations in R”, Journal of Statistical Software. Vol. 45(3) Foundation for Open Access Statistic.
DOI: http://doi.org/10.18637/jss.v045.i03
ERC: https://o2r.uni-muenster.de/#!/erc/wu5C7
Dottori F, Figueiredo R, Martina MLV, Molinari D and Scorzini AR (2016), “INSYDE: a synthetic, probabilistic flood damage model based on explicit cost analysis”, Natural Hazards and Earth System Sciences., dec, 2016. Vol. 16(12), pp. 2577-2591.
DOI: http://doi.org/10.5194/nhess-16-2577-2016
ERC: https://o2r.uni-muenster.de/#!/erc/5LVlQ
Fan Y, Olson R and Evans JP (2017), “A Bayesian posterior predictive framework for weighting ensemble regional climate models”, Geoscientific Model Development., jun, 2017. Vol. 10(6), pp. 2321-2332.
DOI: http://doi.org/10.5194/gmd-10-2321-2017
ERC: https://o2r.uni-muenster.de/#!/erc/5F7FV
Fraza E, Elsner JB and Jagger TH (2016), “A space–time statistical climate model for hurricane intensification in the North Atlantic basin”, Advances in Statistical Climatology, Meteorology and Oceanography. Vol. 2(2), pp. 105-114.
DOI: http://doi.org/10.5194/ascmo-2-105-2016
ERC: https://o2r.uni-muenster.de/#!/erc/onYGX
Grolemund G and Wickham H (2011), “Dates and Times Made Easy with lubridate”, Journal of Statistical Software, Articles. Vol. 40(3), pp. 1-25.
DOI: https://doi.org/10.18637/jss.v040.i03
ERC: https://o2r.uni-muenster.de/#!/erc/2HXy2
Khomo L, Trumbore S, Bern CR and Chadwick OA (2017), “Timescales of carbon turnover in soils with mixed crystalline mineralogies”, SOIL., jan, 2017. Vol. 3(1), pp. 17-30.
DOI: http://doi.org/10.5194/soil-3-17-2017
ERC: https://o2r.uni-muenster.de/#!/erc/k4LY5
Niculiţa M (2016), “Automatic landslide length and width estimation based on the geometric processing of the bounding box and the geomorphometric analysis of DEMs”, Natural Hazards and Earth System Sciences. Vol. 16(8), pp. 2021-2030.
DOI: http://doi.org/10.5194/nhess-16-2021-2016
ERC: https://o2r.uni-muenster.de/#!/erc/hGNAf
Pebesma E (2012), “spacetime: Spatio-Temporal Data in R”, Journal of Statistical Software, Articles. Vol. 51(7), pp. 1-30.
DOI: http://doi.org/10.18637/jss.v051.i07
ERC: https://o2r.uni-muenster.de/#!/erc/sNeVK
van Noordwijk M, Tanika L and Lusiana B (2017), “Flood risk reduction and flow buffering as ecosystem services–Part 1: Theory on flow persistence, flashiness and base flow”, Hydrology and Earth System Sciences., May, 2017. Vol. 21(5), pp. 2321-2340.
DOI: http://doi.org/10.5194/hess-21-2321-2017
ERC: https://o2r.uni-muenster.de/#!/erc/mV2bs
Thomas L and Reyes E (2014), “Tutorial: Survival Estimation for Cox Regression Models with Time-Varying Coefficients Using SAS and R”, Journal of Statistical Software, Code Snippets. Vol. 61(1), pp. 1-23.
DOI: http://doi.org/10.18637/jss.v061.c01
ERC: https://o2r.uni-muenster.de/#!/erc/EihH5
Trachsel M and Telford RJ (2016), “Technical note: Estimating unbiased transfer-function performances in spatially structured environments”, Climate of the Past., May, 2016. Vol. 12, pp. 1215-1223.
DOI: http://doi.org/10.5194/cp-12-1215-2016
ERC: https://o2r.uni-muenster.de/#!/erc/SDFEv
Viechtbauer W (2010), “Conducting Meta-Analyses in R with the metafor Package”, Journal of Statistical Software, Articles. Vol. 36(3), pp. 1-48.
DOI: http://doi.org/10.18637/jss.v036.i03
ERC: https://o2r.uni-muenster.de/#!/erc/djvve
Wickham H (2011), “The Split-Apply-Combine Strategy for Data Analysis”, Journal of Statistical Software. Vol. 40(1).
DOI: http://doi.org/10.18637/jss.v040.i01
ERC: https://o2r.uni-muenster.de/#!/erc/sPprl
Wickham H (2014), “Tidy data”, The Journal of Statistical Software. Vol. 59
DOI: https://doi.org/10.18637/jss.v059.i10
ERC: https://o2r.uni-muenster.de/#!/erc/N4Jzp