Research output per year
Research output per year
Description
These files are a companion to the following paper:
Title: High-throughput recognition of small invertebrates via computer vision
Authors: Kynan L. Delaney, Emmet Delaney, Jacob Moorad
Journal: Ecological Solutions & Evidence
Year: 2026
This dataset provides pairwise comparisons of individual identification patterns in Nicrophorus vespilloides. Pattern differences are quantified using four distinct computer vision algorithms. A description of the analytical methods and results is available in the accompanying markdown document and corresponding HTML file.
Title: High-throughput recognition of small invertebrates via computer vision
Authors: Kynan L. Delaney, Emmet Delaney, Jacob Moorad
Journal: Ecological Solutions & Evidence
Year: 2026
This dataset provides pairwise comparisons of individual identification patterns in Nicrophorus vespilloides. Pattern differences are quantified using four distinct computer vision algorithms. A description of the analytical methods and results is available in the accompanying markdown document and corresponding HTML file.
Data Citation
Delaney, K., Delaney, E., & Moorad, J. (2026). Data from: High-throughput recognition of small invertebrates via computer vision [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18184608
| Date made available | 8 Jan 2026 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Article
-
High-throughput recognition of small invertebrates via computer vision
Delaney, K., Delaney, E. & Moorad, J. A., Mar 2026, In: Ecological Solutions and Evidence. 7, 1, 20 p., e70190.Research output: Contribution to journal › Article › peer-review
Open AccessFile
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