3dohr3orw$$7rrooiruuwkhh$qdo\vlv,qwhjudwlrqqdqgg0dqlsxodwlrqqriii 7lphvhulhvv3dohruhfrugvv

As a symptom of evolution, human beings are always trying to better understand current and past events so we are able to foresee future situations and develop new tools or methods. The data registered over millions of years is an impressive source of information that, for instance, help us to model earth dynamics or to make climatic predictions. We find the largest and oldest record in the oceans. Palaeoceanographers, in order to monitor and make predictions, need to manipulate, integrate and analyse paleo time-series that are obtained from a number of independent techniques and instruments (such as ocean drilling, ocean tracers, AMC 14C datings, astronomic curves, etc.), which, moreover, are usually produced by different researchers and/or laboratories. The result is a collection of datasets with unequal age precision. In the last years, several tools have been developed to allow best management and analysis of these data. The main available tools are represented by databases (Dbase, Access, Foxpro, Oracle, etc.), spreadsheets (Lotus, Excel, etc.), statistical packages (Axum, Data Desk, S-Plus, SPSS) and graphical and/or image tools (Statgraphics, CorelDraw, and many more).This worsens the situation since, at present, there is not an assembly of integrated tools that allows the palaeontologists to perform a study without having to use applications of different natures, which are of general purpose and, usually, expensive and platform-dependent. Some freeware tools have appeared in the last few years that were designed for the field of paleoclimatology (AnalySeries [1]) or paleontology (PAST, [2]), which include many commonly used functions, but they are rather limited to a one-by-one analysis, are one-platform-only and the results usually need to be exported to other tools for further analysis or make them more legible. The goal of this project was to develop a tailor-made, platform-independent, full featured tool that could simplify the palaeocenographers work, being used during the whole process: from the beginning, merging and correlating different datasets, continuing with interactive analyses, to the end, plotting the results.