Evidence map›Paper›PMID 41714666›Full record

ArticleScientific data2026

A Forty-year regional-scale dataset of shoreline change and nearshore wave conditions in Southeast Australia.

Yongjing Mao, Kilian Vos, Laura Cagigal, Valentine Bodin, Mitchell D Harley, Kristen D Splinter

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yongjing MaoWater Research Laboratory, UNSW, Sydney, Australia. Yongjing.mao@unsw.edu.au.ORCID http://orcid.org/0000-0003-0835-6864
Kilian VosOHB Digital Services GmbH, Bremen, Germany.
Laura CagigalGeomatics and Ocean Engineering Group, Departamento de Ciencias y Tecnicas del Agua y del Medio Ambiente, Universidad de Cantabria, Cantabria, Spain.
Valentine BodinWater Research Laboratory, UNSW, Sydney, Australia.
Mitchell D HarleyWater Research Laboratory, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0002-1329-7945
Kristen D SplinterWater Research Laboratory, UNSW, Sydney, Australia.ORCID http://orcid.org/0000-0002-0082-8444

Funding

Department of Education and Training | Australian Research Council (ARC) FT220100009Department of the Interior | U.S. Geological Survey (United States Geological Survey) G21AC10672
6 · The paper itself

Abstract

Coastal erosion at wave-dominated beaches, primarily driven by nearshore wave dynamics, poses a substantial challenge for coastal management. While existing datasets from individual beaches have improved our understanding of site-specific coastal morphodynamics, there is a growing demand for regional-scale datasets to understand and predict regional shoreline responses to climate variability. To address this, we present a combined shoreline and nearshore wave dataset for the wave-dominated coast of southeast Australia, comprising over 8,000 cross-shore transects at 100 m spacing for over 300 beaches. For each transect, satellite-derived shoreline positions (1984-2024) and beach-face slopes are provided, alongside hourly nearshore wave parameters (1979-2024) extracted at the 10 m depth contour. Shoreline data have been validated using available field surveys, and wave data have been assessed against offshore and nearshore buoy observations. This dataset provides a valuable resource for developing regional-scale understanding of shoreline variability along wave-dominated and embayed coastlines.

Identifiers

PMID41714666
PMCPMC13031909

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.