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Article . 2021
License: CC BY NC ND
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Article . 2021
License: CC BY NC ND
Data sources: Datacite
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Article . 2022 . Peer-reviewed
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The Do-It-Yourself geophysicist

Authors: Kepic, Anton;

The Do-It-Yourself geophysicist

Abstract

The proliferation of open software and hardware, such as Micropython and other GNU-based licensing of generic embedded computing platforms provides largely ready made data acquisition and data fusion platforms that allow many geophysicists to make the measurements they need to transform themselves to serve new markets or reinvent old practices. These systems are small in size and power consumption, yet much more complete in capability than systems 20 to 30 years ago. The addition of transducers, often on evaluation modules, with standardised embedded peripheral interfaces, such as SPI and I2C allow these systems to make useful measurements without the significant investment required of geophysical instruments more than a decade ago. The availability of free, production-ready CAD software such as KiCad and FreeCad allows even the novice to create customised electronic/mechanical devices in 3D by sending a CAD file for manufacture directly without investing in expensive tooling. These tools are a significant empowerment to the individual. Starting CAD templates from component manufacturers and other enthusiasts that are openly published may often be used. Thus, a new cottage industry of DIY geophysicists. The open-source hardware and software revolution also alters the ability to educate the 'next generation' of geophysicists as it facilitates and empowers self-directed learning.

Open-Access Online Publication: March 03, 2023

Keywords

embedded computing. Python, acquisition, sensors

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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