Langbahn Team – Weltmeisterschaft

File:DART train 8603 (cropped).jpg

Original file (3,080 × 1,898 pixels, file size: 3.46 MB, MIME type: image/jpeg)

Summary

Description
English: Its a very grand entrance to Grand Canal Dock Station, as Dart 8603 leads its 4 car set heading southbound to Bray.

I just love this view, between the lattice of wires above & the background scene which reminds me of similar views of London's Canary Wharf.

This Dart set was built by the Tokyo Car Corporation, the bodywork has that typical Japanese look.
Date
Source https://www.flickr.com/photos/cityswift/51063957186/
Author Cityswift - Ireland
Other versions
image extraction process
This file has been extracted from another file
: DART train 8603.jpg
original file

Licensing

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 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.

Captions

Add a one-line explanation of what this file represents

Items portrayed in this file

depicts

copyright status

copyrighted

copyright license

Creative Commons Attribution 2.0 Generic

captured with

Canon EOS 70D

inception

29 April 2017

media type

image/jpeg

checksum

79401b566f3e19418f0778e90dc428236ae51e0c

determination method or standard: SHA-1

data size

3,630,128 byte

height

1,898 pixel

width

3,080 pixel

ISO speed

100

exposure time

0.0025 second

f-number

5.6

focal length

160 millimetre

File history

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

Date/TimeThumbnailDimensionsUserComment
current12:45, 15 May 2022Thumbnail for version as of 12:45, 15 May 20223,080 × 1,898 (3.46 MB)DemocfestFile:DART train 8603.jpg cropped 16 % horizontally, 22 % vertically using CropTool with precise mode.

Metadata