10 results for Dataset, 2011

Combined Vertical Ozone Profile Database
Bodeker, Greg; Hassler, Birgit; Young, Paul; Portmann, Robert (2011)
Dataset
Victoria University of WellingtonBodeker Scientific produces a combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. A publication describing the construction of this database is currently in preparation. The raw individual ozone data are sourced from the BDBP database (see The BDBP). Monthly means are calculated from individual ozone measurements extracted from the BDBP in much the same way as in Hassler et al. (2009). These are referred to as Tier 0 data. A regression model is fitted to the Tier 0 data at each of 70 pressure/altitude levels. The regression model is of the form: Ozone(t,lat) = A(t,lat) + Offset and seasonal cycle B(t,lat) x t + Linear trend C(t,lat) x EESC(t,AoA) + Ageofair dependent equivalent effective stratospheric chlorine D(t,lat) x QBO(t) + Quasibiennial Oscillation E(t,lat) x QBOorthog(t) + Orthogonalized QBO F(t,lat) x ENSO(t) + ElNiño Southern Oscillation G(t,lat) x Solar(t) + Solar cycle H(t,lat) x Pinatubo(t) + Mt. Pinatubo volcanic eruption R(t) Residual Regression model fit coefficients are expanded in Fourier series to account for seasonality and in Legendre polynomials in latitude to account for meridional structure in the fit coefficients. Regression model output is then used to produce 4 gap free Tier 1 data sets, viz.: Tier 1.1 (Anthropogenic): This comprises the mean annual cycle plus contributions from the EESC and linear trend basis functions. Tier 1.2 (Natural): This comprises the mean annual cycle plus contributions from the QBO, solar cycle and El Niño basis functions. Tier 1.3 (Natural & volcanoes): Tier 1.2 but now also including contributions from volcano basis functions. Tier 1.4 (All): Constructed by summing the contributions from all basis functions. There are 20 files available named CCMVal2_REFB1_BSOzoneXXYYY_TierZZ_T2Mz_O3.nc where: CCMVal2 indicates that these data files have been formatted to allow easy use in the CCMVal2 project. REFB1 indicates that the time period covered is similar to that for the REFB1 simulations. XX is either 'MR' for mixing ratio or 'ND' for number density. YYY is either 'PRS' to denote that the data are on pressure levels or 'ALT' to denote that the data are on altitude levels. ZZ denotes the Tier: '0', '1_1', '1_2', '1_3' or '1_4'. T2Mz denotes that these are monthly means in two dimensions (latitude and altitude/pressure). At present Bodeker Scientific has no financial support to maintain this database and so if there is anyway that you can contribute towards the maintenance of this database, that would be much appreciated. That said, this database is made freely available to any notforprofit organisation or individual. If you are going to be using this database in a publication, please let me know. At the very least please include the following acknowledgement: We would like to thank Greg Bodeker (Bodeker Scientific) and Birgit Hassler (NOAA) for providing the combined vertical ozone profile database.
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Rnoweb: Literate programming with and for R
Ihaka, George (2011)
Dataset
The University of Auckland LibraryRnoweb is an R package that provides literate programming support in and for R. It is a reimplementation of Norman Ramsey's noweb, written entirely in R.
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SPARX: a selfhelp computer programme for young people with symptoms of depression
Merry, Sally; Stasiak, K; Doherty, I; Shepherd, M; Fleming, T; Lucassen, M (2011)
Dataset
The University of Auckland LibraryThe Sparx game is our first ‘Serious Games’ project designed and developed for the Faculty of Medical and Health Sciences of the University of Auckland and funded by the Ministry of Health New Zealand. We are designing and developing in conjunction with the University of Auckland a computeradministered self help programme for adolescents suffering from depression. This initiative is a New Zealand first. Sparx is based on cognitive behavioural therapy (CBT). It’s a therapy that can be very helpful for people with depression.
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VGAM 0.84
Yee, TW (2011)
Dataset
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The University of Auckland Library 
SPAN. New release
Marshall, Roger (20110701)
Dataset
The University of Auckland LibrarySearch Partitiona Analysis programme. New Windows 7 compatible version release.
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The 2.14 release of the R statistical language.
Murrell, Paul; Bates, D; Chambers, JM; Dalgaard, P; Hornik, K; Iacus, S; Ihaka, R; Gentleman, R; Leisch, F; Lumley, T; Maechler, M; Murdoch, D; Plummer, M; Ripley, BD; Temple Lang, D; Tierney, L; Urbanek, S; Sarkar, D; Ligges, U (2011)
Dataset
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The University of Auckland Library 
The 2.13.0 release of the R statistical language.
Murrell, Paul; Bates, D; Chambers, JM; Dalgaard, P; Hornik, K; Iacus, S; Ihaka, R; Gentleman, R; Leisch, F; Lumley, T; Maechler, M; Murdoch, D; Plummer, M; Ripley, BD; Temple Lang, D; Tierney, L; Urbanek, S; Sarkar, D (2011)
Dataset
The University of Auckland LibraryDeclared native colorspace to be sRGB
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GeneralizedHyperbolic, Version 0.70, The Generalized Hyperbolic Distribution
Scott, David (2011)
Dataset
The University of Auckland LibraryThis package provides functions for the hyperbolic and related distributions. Density, distribution and quantile functions and random number generation are provided for the hyperbolic distribution, the generalized hyperbolic distribution, the generalized inverse Gaussian distribution and the skewLaplace distribution. Additional functionality is provided for the hyperbolic distribution, normal inverse Gaussian distribution and generalized inverse Gaussian distribution, including fitting of these distributions to data.
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DistributionUtils, Version 0.50, Distribution Utilities
Scott, David (2011)
Dataset
The University of Auckland LibraryThis package contains utilities which are of use in the packages I have developed for dealing with distributions. Currently these packages are GeneralizedHyperbolic, VarianceGamma, and SkewHyperbolic and NormalLaplace. Each of these packages requires DistributionUtils. Functionality includes sample skewness and kurtosis, loghistogram, tail plots, moments by integration, changing the point about which a moment is calculated, functions for testing distributions using inversion tests and the Massart inequality. Also includes an implementation of the incomplete Bessel K function.
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Speech recognition system based on new dynamic time warping technique.
Abdulla, Waleed; Chow, David; Sin, Garry (2011)
Dataset
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The University of Auckland Library