ReefRescuers_acoustic
Published February 13, 2026 | Version v1
Dataset Open

Coral restoration alters reef soundscapes but machine learning and manual analyses suggest different recovery rates

Authors/Creators

  • 1. ROR icon University of Lisbon
  • 2. Nature Seychelles
  • 3. ROR icon James Cook University
  • 4. ROR icon University College London
  • 5. ROR icon Lancaster University

Description

The dataset relevant to the article of the same title, "Coral restoration alters reef soundscapes but machine learning and manual analyses suggest different recovery rates".

Files

soundcounts_final.csv

Files (3.1 GB)

Name Size
md5:b2f2289a15e7f31480b65957bb6becec
107.8 kB Preview Download
md5:aebf5dfb1a57cced2d3f232f563e2bab
88.8 MB Preview Download
md5:591af1ccd62dcb275b97dbf0e1d0b482
3.0 GB Preview Download
md5:379ee41785e8e87b71d4d5e6e69b2db1
40.8 kB Preview Download

Additional details

Dates

Submitted
2023-10-01/2023-11-30

Software

Repository URL
https://github.com/emcroas/seychelles_soundscapes
Programming language
Python , R
Development Status
Active