As a thank-you to the many people who have told us how much they enjoy MBARI’s deep-sea images, we are providing a few of our stunning underwater images for use as wallpaper on desktops or mobile devices.

All of our wallpapers are high-definition quality—they look great as a desktop background image, as a Zoom background for conference calls, or as a Facebook cover photo.

Various Stock Photos where attempts were made to capture the "modern" world.

When the US-based SkyHub organisation regrettably closed down in August 2021, enthusiastic former community members wanted to keep the project and the valuable exchange within the community alive. Therefore, in October 2021, we, a group of European astronomers, software developers and hardware engineers, founded Sky360 as a non-profit NGO association, registered in Austria.

We want to provide a community platform, tools and support to all people interested in observing the skies for stars, meteors, satellites, planes, drones, weather phenomena, birds, UAPs or anything else that happens in our atmosphere and low Earth orbit. We already support the Discord channel the UAP Tracking Forum for the community of UAP trackers with over 900 members and more communities to come in the future. Together with and for the community we develop hardware and software for a 24/7 citizen sky observatory that can detect, track, identify and analyze any aerial phenomena and yet is still affordable for citizens.

The homepage of Paul Crowley.

This is the homepage for the open source Seamstress seam carving library and Arachne, the seam carving program written to demonstrate the library. Seam carving is a technique developed by Shai Avidan and Ariel Shamir for resizing images by removing the boring bits.

A gallery of images made by sticking random toys into a radiograph.

A website that does online error level analysis of images (either linked or uploaded) to help determine whether or not they've been edited, and if so which bits were changed. Error level analysis is a technique in which the error level potentials of image files are mapped with algorithms developed and published by Dr. Neil Krawetz. Alterations tend to show up as having higher error potentials than the unmodified parts of the image (which have probably been saved a few times, and thus noise has crept in).