File:Peg, clothes (AM 1999.92.4-2).jpg

Original file (948 × 356 pixels, file size: 50 KB, MIME type: image/jpeg)

Captions

Captions

Add a one-line explanation of what this file represents

Summary

edit
Peg, clothes   (Wikidata search (Cirrus search) Wikidata query (SPARQL)  Create new Wikidata item based on this file)
Artist
Unknown authorUnknown author
Title
Peg, clothes
Object type Classification: NM3.8655
Description
English: Wooden clothes peg wooden turned clothes peg, longitudinal cut to approximately half way from one end. The other end is finished with a rounded knob. At the blind end of the cut is stationed a galvanised steel spring that wraps around the outside of the peg and finishes in the cut.
Date Unknown date; 02 Aug 1999; 29 Jul 1999
Dimensions

diameter: 20mm

length: 115mm
institution QS:P195,Q758657
Accession number
1999.92.4
Place of creation Unknown
Credit line Collection of Auckland Museum Tamaki Paenga Hira, 1999.92.4
Source/Photographer

API data
Catalogue record

Photo
Permission
(Reusing this file)
This image has been released as "CCBY" by Auckland Museum. For details refer to the Commons project page.
Other versions

Licensing

edit
w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
Attribution: Auckland Museum
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.

File history

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

Date/TimeThumbnailDimensionsUserComment
current01:05, 6 January 2018Thumbnail for version as of 01:05, 6 January 2018948 × 356 (50 KB) (talk | contribs)Auckland Museum Page 250.20 Object #25019 1999.92.4 Image 2/2 http://api.aucklandmuseum.com/id/media/v/87988

Metadata