Evidence map›Paper›PMID 40510214›Full record

ArticleHardwareX2025

Design and development of a cost-effective buoy using 3D printing for coastal monitoring.

Simón F Nogueira, Alejandro J Vitale, Sibila A Genchi, Agustina Roth, Steven Martínez Vargas, Agustin Siben, Lucas Nuciari, Gerardo M E Perillo

Abstract read
In one paragraph

Article in HardwareX, 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

8 authors.

Simón F NogueiraDepartamento de Ingeniería, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina.
Alejandro J VitaleInstituto Argentino de Oceanografía (IADO), CONICET-UNS, B8000FWB, Bahía Blanca, Argentina.
Sibila A GenchiInstituto Argentino de Oceanografía (IADO), CONICET-UNS, B8000FWB, Bahía Blanca, Argentina.
Agustina RothInstituto Argentino de Oceanografía (IADO), CONICET-UNS, B8000FWB, Bahía Blanca, Argentina.
Steven Martínez VargasDepartamento de Ingeniería Eléctrica y de Computadoras, UNS, Bahía Blanca, Argentina.
Agustin SibenDepartamento de Ingeniería Eléctrica y de Computadoras, UNS, Bahía Blanca, Argentina.
Lucas NuciariDepartamento de Ingeniería, Universidad Nacional del Sur (UNS), Bahía Blanca, Argentina.
Gerardo M E PerilloInstituto Argentino de Oceanografía (IADO), CONICET-UNS, B8000FWB, Bahía Blanca, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An adequate knowledge of water (and air) environment parameters in ocean and coastal areas becomes of crucial importance for management practices. The behavior of oceans and coasts covers a large range of spatial and time scales that leads to the importance of high-frequency and widespread monitoring by using cost-effective platforms. This article proposes the design, development and deployment of a low-cost, small and compact buoy platform for coastal monitoring, which was built almost entirely on 3D printing technology in a modular way. The buoy called EMAC buoy -V3.0- (EMAC: Estación de Monitoreo Ambiental Costero) was significantly improved in the last few years based on cost-effective optimization and physical constraints inherent to coastal waters, providing the advantages of simplicity and flexibility. This study considered oceanographic and meteorological measurements of a buoy moored in the San Matías Gulf on the northern Patagonian Continental Shelf.

Indexed as

3D printingContinental/coastal watersLow-costMonitoring buoyOpen-source

Identifiers

PMID40510214
PMCPMC12159925

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.