Smithsonian Open Access Collections Metadata

metadata2025-03-29.tar.xz 3.69GB
Type: Dataset

Metadata:
@article{,
title= {Smithsonian Open Access Collections Metadata},
journal= {},
author= {},
year= {},
url= {https://www.si.edu/openaccess},
abstract= {NOTE: contents decompress to ~44GB!

From the AWS dataset web page:

> The Smithsonian’s mission is the "increase and diffusion of knowledge" and has been collecting since 1846. The Smithsonian, through its efforts to digitize its multidisciplinary collections, has created millions of digital assets and related metadata describing the collection objects. On February 25th, 2020, the Smithsonian released over 2.8 million CC0 interdisciplinary 2-D and 3-D images, related metadata, and additionally, research data from researches across the Smithsonian. The 2.8 million "open access" collections are a subset of the Smithsonian’s 155 million objects, 2.1 million library volumes and 156,000 cubic feet of archival collections held in 19 museums, 9 research centers, libraries, archives and the National Zoo. Digitization of collections is ongoing.

This archive contains the metadata for all Open Access items, as of 2025-03-29 (now substantially more than 2.8 million items). Records are in JSON format, split by institution; the record format details are documented at the last link below.

* Smithsonian Open Access page: https://www.si.edu/openaccess
* AWS Open Data page: https://registry.opendata.aws/smithsonian-open-access/
* Enterprise Data Access Network documentation: https://edan.si.edu/openaccess/docs/
},
keywords= {US Government, museums, Smithsonian, SI},
terms= {},
license= {CC0},
superseded= {}
}

Citation:
Smithsonian Open Access Collections Metadata. (2025). [Data set]. Academic Torrents. https://academictorrents.com/details/4ba681158876d839973ba99314b7f28ff356bbf1
No stats to report yet.

Send Feedback Start
   0.000007
DB Connect
   0.000514
Lookup hash in DB
   0.000454
Get torrent details
   0.000137
Get torrent details, finished
   0.000304
Get authors
   0.000001
Select authors
   0.000189
Parse bibtex
   0.000159
Write header
   0.000348
get stars
   0.000184
home tab
   0.000184
render right panel
   0.000016
render ads
   0.000436
fetch current hosters
   0.000257
Start get stats
   0.000355
End get stats
   0.000002
related datasets
   0.002506
Done