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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Nanoplastics Sign in to save

arav-saherwala/Detection-of-unlabeled-nanoplastics-using-enhanced-dark-field-hyperspectral-microscopy: Dataset for the publication titled: "Detection of unlabeled nanoplastics within Daphnia magna using enhanced darkfield hyperspectral microscopy"

Zenodo (CERN European Organization for Nuclear Research) 2026
arav-saherwala

Summary

This is a dataset record for a study that used enhanced darkfield hyperspectral microscopy to detect unlabeled (unstained) nanoplastic particles inside the body of Daphnia magna—a small freshwater crustacean widely used as an environmental indicator species—demonstrating that nanoplastics can be visualized in living organisms without chemical modification.

Models

This release contains the data used in the publication titled: "Detection of unlabeled nanoplastics within Daphnia magna using enhanced darkfield hyperspectral microscopy". The dataset contains raw hyperspectral data, original image files, and excel files plotting the spectral data.

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