File:Dong Guojian and Daniel Vargas - London 2012 Men's Marathon.jpg

Original file(470 × 816 pixels, file size: 191 KB, MIME type: image/jpeg)

Summary

Description
Русский: Китайский бегун Дун Гоцзянь и мексиканский бегун Даньель Варгас во время марафона Летних Олимпийских игр 2012 в Лондоне
English: Chinese runner Dong Guojian and Mexican runner Daniel Vargas during the marathon at the 2012 Summer Olympics in London
Date
Source https://www.flickr.com/photos/mattkieffer/7765621310/ (cropped from original version)
Author Matt Kiefer
Other versions

Licensing

This image, originally posted to Flickr, was reviewed on 30 November 2012 by the administrator or reviewer Morning Sunshine, who confirmed that it was available on Flickr under the stated license on that date.
w:en:Creative Commons
attribution share alike
This file is licensed under the Creative Commons Attribution-Share Alike 2.0 Generic license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

12 August 2012

0.00125 second

4.43 millimetre

image/jpeg

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current21:15, 29 November 2012Thumbnail for version as of 21:15, 29 November 2012470 × 816 (191 KB)INS PiratUser created page with UploadWizard
The following pages on the English Wikipedia use this file (pages on other projects are not listed):

Global file usage

The following other wikis use this file:

Metadata