Evidence map›Paper›PMID 39314536›Full record

ArticleHardwareX2024

BioSense: An automated sensing node for organismal and environmental biology.

Andrea Contina, Eric Abelson, Brendan Allison, Brian Stokes, Kenedy F Sanchez, Henry M Hernandez, Anna M Kepple, Quynhmai Tran, Isabella Kazen, Katherine A Brown and 2 more

Abstract read
In one paragraph

Article in HardwareX, 2024. 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

12 authors.

Andrea ContinaSchool of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA.
Eric AbelsonDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.
Brendan AllisonDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.
Brian StokesDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.
Kenedy F SanchezCarnegie Mellon University, Pittsburgh, PA 15213, USA.
Henry M HernandezDepartment of Physics, The University of Texas at Austin, Austin, TX 78712, USA.
Anna M KeppleDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.
Quynhmai TranDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.
Isabella KazenDepartment of Physics, The University of Texas at Austin, Austin, TX 78712, USA.
Katherine A BrownThe Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78712, USA.
Je'aime H PowellTexas Advanced Computing Center, The University of Texas at Austin, Austin, TX 78758, USA.
Timothy H KeittDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX 78703, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated remote sensing has revolutionized the fields of wildlife ecology and environmental science. Yet, a cost-effective and flexible approach for large scale monitoring has not been fully developed, resulting in a limited collection of high-resolution data. Here, we describe BioSense, a low-cost and fully programmable automated sensing platform for applications in bioacoustics and environmental studies. Our design offers customization and flexibility to address a broad array of research goals and field conditions. Each BioSense is programmed through an integrated Raspberry Pi computer board and designed to collect and analyze avian vocalizations while simultaneously collecting temperature, humidity, and soil moisture data. We illustrate the different steps involved in manufacturing this sensor including hardware and software design and present the results of our laboratory and field testing in southwestern United States.

Indexed as

Avian ecologyBioacousticsMicroclimateRaspberry PiRemote sensing

Identifiers

PMID39314536
PMCPMC11417332

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.