In the paper entitled: A nonlinear multi-proxy model based on manifold learning to reconstruct water temperature from high resolution trace element profiles in biogenic carbonates a manifold based method, called Weight Determination Manifold Regularization (WDMR), is presented to create a nonlinear multi-proxy model to reconstruct water temperature. The reconstruction makes use of Mg/Ca, Sr/Ca, Ba/Ca and Pb/Ca measurements on bivalve shells.  
To encourage all readers to create nonlinear multi-proxy models for a brother scale of climate archives the WDMR toolbox for Matlab and the user manual for these codes, are added as supplementary material to this paper. Nevertheless we recommend contacting the authors to ensure the correct use of the WDMR toolbox. 

The supplementary material contains:

-	UserManualWDMR.pdf: 
		A user manual in pdf-format in which it is explained how to check the results of this paper, and how to adapt the code for other datasets.

-	Validation.m: 
		A Matlap-file in which the data preprocessing, modeling, validation and visualization is assembled.  

-	PrepaireData.m: 
		A Matlap-file in which the data are preprocessed 

-	Schikdata.m: 
		A Matlap-file in which the data are preprocessed for dynamical models.

-	WDMR.m: 
		The WDMR code for Matlap that is used to train the model.

-	fit.m: 
		In this Matlap-code the validation data are compared to the model in other to reconstruct the temperature.


NOTE ! All Matlap codes are written the Matlab 2007b version. But they should be operational for all Matlab version since only basic Matlab tools are used.
