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Supplementary material 1 from: Blancher P, Lefrançois E, Rimet F, Vasselon V, Argillier C, Arle J, Beja P, Boets P, Boughaba J, Chauvin C, Deacon M, Duncan W, Ejdung G, Erba S, Ferrari B, Fischer H, Hänfling B, Haldin M, Hering D, Hette-Tronquart N, Hiley A, Järvinen M, Jeannot B, Kahlert M, Kelly M, Kleinteich J, Koyuncuoğlu S, Krenek S, Langhein-Winther S, Leese F, Mann D, Marcel R, Marcheggiani S, Meissner K, Mergen P, Monnier O, Narendja F, Neu D, Onofre Pinto V, Pawlowska A, Pawlowski J, Petersen M, Poikane S, Pont D, Renevier M-S, Sandoy S, Svensson J, Trobajo R, Tünde Zagyva A, Tziortzis I, van der Hoorn B, Vasquez MI, Walsh K, Weigand A, Bouchez A (2022) A strategy for successful integration of DNA-based methods in aquatic monitoring. Metabarcoding and Metagenomics 6: e85652. https://doi.org/10.3897/mbmg.6.85652

Table S1

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
0
Access
16
Reuse readiness
0
Engagement
4

Topics

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