imageomics/questFish2024

Dataset Card for QUEST Fish 2024

Images of fish collected from bodies of water near Princeton University.

Dataset Details

Dataset Structure

/dataset/
    <folder>/
        <img_id 1>.png
        <img_id 2>.png
        ...
        <img_id n>.png
    ...
    <img_id 1>.png
    <img_id 2>.png
     ...
    <img_id n>.png
    fieldData2024.csv

Data Instances

All images are named .png or .jpeg. Some images are within folders, others are not; in or out of folders is arbitrary. The pictures were taken from a variety of phones by participants of QUEST 2024. The pictures were not standardized in any way.

Data Fields

[More Information Needed]

fieldData2024.csv:

• photoID: Unique identifier for the image.
• photoName: Same as Photo ID
• species: Species of the specimen in the image. There are 10 different species.
• Location: View of the specimen in the image (e.g., ventral or dorsal OR top or bottom, etc.; specify options where reasonable).
• WaterTemp: Temperature of water where fish was collected (C)
• WaterFlow: Flow Rate of water where fish was collected
• WaterDepth: Depth of water where fish was collected
• photoURL: Huggingface URL for image of the fish.
• Body_Length: Measured by hand and eye, the length of fish body (arbitrary unit)
• Body_Width: Measured by hand and eye, the width of fish body (arbitrary unit)
• Head_Length: Measured by hand and eye, the length of fish head (arbitrary unit)
• Head_width: Measured by hand and eye, the width of fish head (arbitrary unit)
• Snout_to_eye: Measured by hand and eye, the length between fish snout and eye (arbitrary unit)
• Ratio_bodyLenByBodyWid: Body_Length/Body_Width
• Ratio_headLenByBodyWid: Head_Length/Head_Width -->

Dataset Creation

Curation Rationale

These images are merged with data (not included here) collected from teachers so that they experience life as an ecologist, where fish are the subject and measurements are taken from the fish. Measurements are taken by hand about the fish and surrounding areas.

Licensing Information

This dataset has been marked as dedicated to the public domain by applying the CC0 Public Domain Waiver.

Citation

BibTeX:

Acknowledgements

This work was supported by Princeton University as part of the QUEST Teacher Preparation Program, with additional support from the Imageomics Institute, which is funded by the US National Science Foundation's Harnessing the Data Revolution (HDR) program under Award #2118240 (Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

Glossary

Only images are stored here. Nothing more.