Datasets

Te Papa releases these datasets openly to allow others to analyse and build on our research findings.

Open data helps researchers speed up the research process and provides opportunities for people to make innovative new services and products by mashing up datasets from different sources.

Te Papa also lists these datasets on data.govt.nz

A black and white photograph of a woman sitting in a chair holding up a mirror which is reflecting another woman in a hat taking a photograph

New Zealand Women Photographers

This dataset was developed as part of the research for the 2023 Te Papa Press publication Through Shaded Glass: Women and photography in Aotearoa New Zealand 1860–1960 and covers biographical information of women photographers including associated iwi, location, and associated studios.

A black and white photo with an older man standing in the middle of a lot of traditional Pacific art pieces

W.O. Oldman Business Records Transcription

This dataset has been created from the transcribed business records of the William Ockleford Oldman, a British dealer of ethnographic material, arms, and armour.

Collections API

Get data about our collections to use in research, creative work, or websites with our collections API.

A person on a laptop looking at images on Te Papa's Collections Online website

Collections Online image download survey data

This dataset is collected from users when they download the high-resolution images available for reuse on Collections Online.

Multiple albatrosses fly over a choppy open sea

At-Sea Observations of Seabirds dataset

This is a dataset of at-sea observations of seabirds dating from 1969 to 1990.

A black and white scenic photo of an island and the sea. There is code text overlaid in white at an angle

How do you embed 14,500 images into a spreadsheet?

With many of our teams wanting various information about our collections as a spreadsheet – preferably with thumbnail images – we’re always looking at how we can streamline requests. Collections Data Manager Gareth Watkins answers the question: how do you embed 14,500 images into a spreadsheet in less than 10 minutes?