Published March 19, 2025 | Version v2

Dataset - Optimizing sampling to characterize fish population size structure from stereo remote underwater video (stereo-RUVs)

  • 1. ROR icon The University of Sydney
  • 2. EDMO icon University of New South Wales
  • 3. ROR icon Commonwealth Scientific and Industrial Research Organisation

Description

Dataset and code for the paper titled: Optimizing sampling to characterize fish population size structure from stereo remote underwater video (stereo-RUVs)

Contains:

  • R script and project used to conduct the statistical analysis as described in the methods section and to create all the figures contained within the paper,
  • All raw data files

Files

Files (299.2 MB)

Name Size Download all
md5:76255b72be96f427e4d345b24e255dab
44.0 MB Download
md5:512fb9ccdb1a9d43e93621df433843cf
44.3 MB Download
md5:7410b7d30289d9298b43243594af3593
44.2 MB Download
md5:1429f291e0f53b2f667a21e55ebcbf61
44.2 MB Download
md5:8c9218265db065bbeba2ef620b625c34
10.6 kB Download
md5:1110083e0f51720c62e524027ea3097f
30.4 kB Download
md5:b0350164b2fef86be1a7f4e1c4fd04a0
2.4 MB Download
md5:ffd4152a55f355a4974c5afcc1f85dda
2.6 MB Download
md5:ab6c452c3855f421011c9e68b29bd280
2.7 MB Download
md5:892cab2e0375c438484920169f8e3257
2.7 MB Download
md5:ee87c5ac45c76bc9ba2f18b9542997f8
67.4 MB Download
md5:c2e46e9c49c2e51cf54afbc95e8bd538
50.3 kB Download
md5:3fcd3005137889ded3aea97248cd3bde
42.2 kB Download
md5:9caa141c1f3231fea310b74b1e1c2f30
13.4 MB Download
md5:ff4fee1d7d07589a652d6138d6c142bd
17.9 kB Download
md5:116204e4d2d41856a618c11d927085fa
24.3 kB Download
md5:b5d157b7c3a3dc2b2ee1a38a806bcc50
14.4 kB Download
md5:c307ec6d44510c05337a3afe7f07f5a1
29.2 kB Download
md5:2710dd62724b306051ae1ddde6c12fd8
14.1 kB Download
md5:8301dd48e3fe88c9ce9ff363d3a97b93
19.0 kB Download
md5:5d1ee12eeb670251eff5af9424dbaf41
19.3 kB Download
md5:16f060ddd113d27577f09a53b0defdd3
17.8 kB Download
md5:8c13efe53d2d4b8efc17445c1150cc58
35.2 kB Download
md5:3a118c70e784aec684392cf5f1a0f6cb
17.2 kB Download
md5:59d8f34ba7de89f2f2944e8ebc3065ab
31.0 MB Download

Additional details

Software

Programming language
R