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The author and responsible for www.oliverwehrli.com and all related services is:

Oliver Wehrli

Fine Art Photography

Schlossweg 21

5106 Veltheim

+41 79 838 60 44

fineart@oliverwehrli.com

LEGAL NOTICE AND PRIVACY POLICY

Disclaimer of liability

The author assumes no liability for the correctness, accuracy, timeliness, reliability and completeness of the information. All offers are non-binding. The author expressly reserves the right to change, add to, or delete parts of the pages or the entire offer or to cease publication temporarily or permanently without prior notice. Using the website alone does not create any contractual relationship between the user and the provider.

Links
References and links to third party websites are outside our area of ​​responsibility. It rejected any responsibility for such websites. Access to and use of such websites is at the user's own risk. Unauthorized copying of the website content or the entire website is not permitted and is a criminal offense.

Copyrights
The content published on this website by the provider is subject to Swiss copyright law. The rights to content, images, photos or other files on the website belong exclusively to Oliver Wehrli. The written consent of the copyright holder must be obtained in advance for the reproduction of any elements. This applies to the duplication, editing, translation, storage, processing or reproduction of content in databases or other electronic media and systems. Unauthorized copying of the website content or the entire website is not permitted and is a criminal offense.

privacy

Personal data is treated as strictly confidential and is neither sold nor passed on to third parties. We strive to protect the databases as well as possible from unauthorized access, loss, misuse or falsification. When accessing this website, only data such as Example: date, time, browser request and general information transmitted about the operating system or Browser saved. This usage data forms the basis for statistical, anonymous evaluations so that trends can be identified, which can be used to improve offers accordingly.