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
Parents
8
1–5 of 8
30
1
h-index
1
h-index
NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center, United States
1 publications · 23 citations
1
h-index
1
h-index
1 publications · 14 citations
1
h-index
1–5 of 30
10
NOAA National Marine Fisheries Service
Silver Spring, United States
2 h-index
5 publications
112 citations
NOAA National Marine Fisheries Service Northwest Fisheries Science Center
Seattle, United States
1 h-index
3 publications
66 citations
Université Paris-Sud
Orsay, France
1 h-index
1 publications
306 citations
Google (United States)
Mountain View, United States
1 h-index
2 publications
26 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
1 h-index
4 publications
92 citations
South Dakota State University
Brookings, United States
1 h-index
5 publications
105 citations
Southern Regional Research Center
New Orleans, United States
1 h-index
2 publications
28 citations
NOAA National Marine Fisheries Service Pacific Islands Fisheries Science Center
Honolulu, United States
1 h-index
2 publications
46 citations
1–8 of 10
1 publications · 14 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 306 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5