Length Data Quality Control

Length Data Quality Control is a methodological framework within the domain of length frequency analysis that systematically identifies, corrects, and prevents errors and biases in organism length measurements to ensure the accuracy, consistency, and reliability of length-based biological data.

8

Publications

424

Citations

30

Authors

10

Institutions

Publications per year

2017–2026

1

Authors

30

  1. JB
    J. Barbarand

    Université Paris-Sud, France

    1 publications · 306 citations

    1

    h-index

  2. VN
    Virginia N. Moriwake

    University of Hawaiʻi at Mānoa, United States

    1 publications · 23 citations

    1

    h-index

  3. BR
    Benjamin Richards

    NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center, United States

    1 publications · 23 citations

    1

    h-index

  4. CK
    Christopher Kelley

    University of Hawaiʻi at Mānoa, United States

    1 publications · 23 citations

    1

    h-index

  5. MY
    M. Yesaki

    1 publications · 14 citations

    1

    h-index

1–5 of 30

Venues

  1. Textile Research Journal

    1 publications · 14 citations

    1

    h-index

  2. Royal Society Open Science

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. American Mineralogist

    1 publications · 306 citations

    1

    h-index

  5. Frontiers in Marine Science

    1 publications · 22 citations

    1

    h-index

1–5