Welcome to the DataPool of the EU Reference Laboratories for Residues of Pesticides

  - last update of DataPool: 09.08.2011 -

  IMPORTANT NOTICE:
    Due to essential maintenance work being currently undertaken on the structure of our EURL DataPool databases,
    some disruption of the functionalities and performance may be experienced in these days.
    Please contact the administrators if your USERNAME/PASSWORD-combination is not working: Click here to contact the administrators.
    We apologize for any inconvenience.
    Your EURL-Team!

This DataPool has been created by the EU Reference Laboratories (EURLs) for Residues of Pesticides with the aim to provide pesticide residue analysts with a convenient and efficient access to information needed for proper decision-making in pesticide residue analysis.

The DataPool contains the following databases allowing systematic collection and online retrieval of pesticide-related data:

  • Methode Validation Data: A collection of data generated within the aim of method validation experiments from various laboratories using different methods of analysis. Synoptic data processing and information on experimental details allow to conveniently draw differentiated conclusions about the applicability and performance of methods for certain pesticide residue analysis tasks.
  • Commodities: A collection of data on the properties and the composition of commodities.
  • Pesticides: A collection of data about the physicochemical and toxicological properties of pesticides as well as their analytical behavior.
  • EURL Network: (will be installed soon)

Several filters and sorting features allow targeted information retrieval.

Access to the DataPool: If you would like to be granted access, please fill-in the Registration Form.

Call for submission of method validation results: Numerous validation experiments are being performed by various laboratories around the world. Nevertheless, there has traditionally been a lack of coordination in bringing this data together to allow overall data processing and assessment. This project aims to close this gap. We thus greatly welcome and encourage any contributions.
If you would like to submit your method validation results, please take a look under Data Submission.

Our website is still under construction and is continuously being improved. For more information please contact the administrator.

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