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Data · dataset · 2025

Understanding Animals jupyter notebook data

Listed in Borealis

Description

This dataset supports the jupyter notebooks at github.com/umanitoba-meagher-projects/Understanding-animals. It is referenced in the pressbook 'Teaching with Images: A computational design resource for understanding urban animals'.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/H3HGWF11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:arts-and-humanitiessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].dataverse_subject:othersource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · borealisdata cakeyword-concept-rules@1.0.0title+description (65%)
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0