ArticleScientific data2020
A contemporary baseline record of the world's coral reefs.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Benthic baselines of the Groote Archipelago's key reefs in the wake of mass coral bleaching and Tropical Cyclone Megan.PloS one · 2026Article
- Dataset of High-Resolution Aerial Images for Intertidal Macroalgae.Scientific data · 2025Article
- Rapid consistent reef surveys with DeepReefMap.Scientific reports · 2025Article
- SCSFish2025: a large dataset from South China sea for coral reef fish identification.Scientific reports · 2025Article
- Rapid seagrass meadow expansion in an Indian Ocean bright spot.Scientific reports · 2024Article
- A global database on coral recovery following marine heatwaves.Scientific data · 2024Article
- Decadal stability in coral cover could mask hidden changes on reefs in the East Asian Seas.Communications biology · 2023Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Addressing the global decline of coral reefs requires effective actions from managers, policymakers and society as a whole. Coral reef scientists are therefore challenged with the task of providing prompt and relevant inputs for science-based decision-making. Here, we provide a baseline dataset, covering 1300 km of tropical coral reef habitats globally, and comprised of over one million geo-referenced, high-resolution photo-quadrats analysed using artificial intelligence to automatically estimate the proportional cover of benthic components. The dataset contains information on five major reef regions, and spans 2012-2018, including surveys before and after the 2016 global bleaching event. The taxonomic resolution attained by image analysis, as well as the spatially explicit nature of the images, allow for multi-scale spatial analyses, temporal assessments (decline and recovery), and serve for supporting image recognition developments. This standardised dataset across broad geographies offers a significant contribution towards a sound baseline for advancing our understanding of coral reef ecology and thereby taking collective and informed actions to mitigate catastrophic losses in coral reefs worldwide.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.