Evidence map›Paper›PMID 40998826›Full record

ArticleScientific data2025

Mapping the "Ghost Fleet of Mallows Bay", Maryland with drone-based remote sensing.

Elizabeth C White, Alexander C Seymour, Julian Dale, Everette Newton, David W Johnston

Abstract read
In one paragraph

Article in Scientific data, 2025. 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

5 authors.

Elizabeth C WhiteDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University Marine Laboratory, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA. libby.white@duke.edu.ORCID http://orcid.org/0009-0006-6142-2727
Alexander C SeymourFormerly Division of Marine Science and Conservation, Nicholas School of the Environment, Duke University Marine Laboratory, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA. aseymour@usgs.gov.
Julian DaleDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University Marine Laboratory, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA. julian.dale@duke.edu.
Everette NewtonDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University Marine Laboratory, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA. everette.newton@duke.edu.
David W JohnstonDivision of Marine Science and Conservation, Nicholas School of the Environment, Duke University Marine Laboratory, 135 Duke Marine Lab Rd, Beaufort, NC, 28516, USA. david.johnston@duke.edu.ORCID http://orcid.org/0000-0003-2424-036X

Funding

National Geographic Society 283-0591
6 · The paper itself

Abstract

Shipwrecks hold significant historical, archaeological, and ecological value. In this dataset, we present two high-resolution (~0.60 cm & 3.0 cm GSD) orthomosaics and associated data that accurately maps the so-called "Ghost Fleet of Mallows Bay", a prominent shipwreck assemblage near the eastern banks of the Potomac River, Maryland, USA. Using unoccupied aircraft systems (UAS), we conducted aerial surveys at regional and individual wreck scales, imaging all 147 wrecks in the bay. Through structure-from-motion photogrammetric processing, we generated the highest-resolution georeferenced mosaics currently available for Mallows Bay. We used the regional orthomosaic to vectorize individual wrecks, with the resulting polygons linked to archaeological records from the Maryland Historic Trust. These data establish a baseline for the shipwreck-associated ecological, archaeological, and cultural resources at Mallows Bay. The orthomosaics and associated outputs suit various applications, including image analysis and habitat mapping. The digital spatial records of individual wrecks support field research efforts and aid in monitoring the evolution of shipwrecks over time.

Identifiers

PMID40998826
PMCPMC12464171

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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.