File:Sheng Mou (Tzu-chao) - Visiting an Old Friend in the Spring Mountains - 1919.1021 - Cleveland Museum of Art.tif

Original file(9,339 × 3,464 pixels, file size: 92.57 MB, MIME type: image/tiff)

This is a file from the Wikimedia Commons. Information from its description page there is shown below.
Commons is a freely licensed media file repository. You can help.

Summary

Visiting an Old Friend in the Spring Mountains  wikidata:Q60503202 reasonator:Q60503202
Artist
Sheng Mou (Tzu-chao)
image of artwork listed in title parameter on this page
Title
Visiting an Old Friend in the Spring Mountains
Object type painting
object_type QS:P31,Q3305213
Date 1300s
date QS:P571,+1300-00-00T00:00:00Z/8
Medium Hanging scroll: ink and slight color on silk
Dimensions Overall: 58.4 x 135.9 cm (23 x 53 1/2 in.)
institution QS:P195,Q657415
Current location
Chinese Art
Accession number
1919.102
Place of creation China, Jaixing, Zhejiang province, Yuan dynasty (1271-1368)
Credit line Gift of the John Huntington Art and Polytechnic Trust
References https://clevelandart.org/art/1919.1021 Edit this at Wikidata
Source/Photographer https://clevelandart.org/art/1919.1021

Licensing

Creative Commons CC-Zero This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication.
The person who associated a work with this deed has dedicated the work to the public domain by waiving all of their rights to the work worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law. You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Captions

Add a one-line explanation of what this file represents

image/tiff

File history

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

Date/TimeThumbnailDimensionsUserComment
current22:46, 5 March 2019Thumbnail for version as of 22:46, 5 March 20199,339 × 3,464 (92.57 MB)Madreilingpattypan 18.02

Global file usage

The following other wikis use this file:

Metadata