Published December 6, 2022 | Version 1.0.0
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Data for "Shell microstructures (disturbance lines) of Arctica islandica (Bivalvia) – A potential proxy for severe oxygen depletion"

Creators

  • 1. Institute of Geosciences, University of Mainz, Joh.-Joachim-Becher-Weg 21, 55128 Mainz, Germany
  • 2. Leibniz Institute for Baltic Sea Research Warnemünde, Seestraße 15, 18119, Rostock, Germany

Description

All data used in the publication "Shell microstructures (disturbance lines) of Arctica islandica – A potential proxy for severe oxygen depletion" currently under review. This includes in situ environmental data from the Mecklenburg Bight, Baltic Sea (ODIN 2, Leibnitz Institute for Baltic Sea Research, https://odin2.io-warnemuende.de/), and biomineral unit (BMU) morphology measurements in scanning electron microscopy images of shells of Arctica islandica, as well as the BMU classifier used in Ilastik (Berg et al., 2019).

Each BMU measurement represents summary statistics of the 15 % largest BMUs within one image (25, 50 and 75 % percentile of each BMU parameter). Environmental data were measured at 20 m water depth, ca. 5 m above the sediment surface.

Notes

Funding: BRS, SCHO793/22-1 and SCHO793/23-1, German Research Foundation, https://www.dfg.de/; The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the dataset.

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Additional details

References

  • Berg, S., Kutra, D., Kroeger, T., Straehle, C.N., Kausler, B.X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J.I., Xu, B., Beuttenmueller, F., Wolny, A., Zhang, C., Koethe, U., Hamprecht, F.A., Kreshuk, A., 2019. ilastik: interactive machine learning for (bio)image analysis. Nature Methods 16, 1226–1232. doi:10.1038/s41592-019-0582-9