Low cost, open-source, and low-power: But what to do with the data?

Authors:
Jeffery HorsburghAnthony Keith AufdenkampeDavid ArscottSara Geleskie DamianoShannon Hicks
Owners: Jeffery S. Horsburgh
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Created: Dec 08, 2017 at 8:11 p.m.
Last updated: Dec 08, 2017 at 8:18 p.m.
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Abstract

There are now many ongoing efforts to develop low-cost, open-source, low-power sensors and datalogging solutions for environmental applications. Many of these have advanced to the point that high quality scientific measurements can be made using relatively inexpensive and increasingly off-the-shelf components. With the development of these innovative systems, however, comes the ability to generate large volumes of high-frequency monitoring data and the challenge of how to log, transmit, store, and share the resulting data. This presentation will focus on a new, web-based system http://data.envirodiy.org that was designed to enable citizen scientists to stream sensor data from a network of EnviroDIY Mayfly Arduino-based dataloggers. This system enables registration of new sensor nodes through a website. Once registered, any Internet connected device (e.g., cellular or WIFI) can then post data to the data.envirodiy.org website through a web service programming interface. Data are stored in a back-end data store that implements Version 2 of the Observations Data Model (ODM2). Live data can then be viewed and downloaded from the data.envirodiy.org website in a simple text format. While this system was purpose built to support an emerging network of Arduino-based sensor nodes deployed by citizen scientists in the Delaware River Basin, the architecture and components are generic and could be used by any Internet connected device capable of making measurements and formulating an HTTP POST request to send them to data.envirodiy.org.

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Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
William Penn Foundation

How to Cite

Horsburgh, J., A. K. Aufdenkampe, D. Arscott, S. G. Damiano, S. Hicks (2017). Low cost, open-source, and low-power: But what to do with the data?, HydroShare, http://www.hydroshare.org/resource/6a53715771e4479a887eaa04614db4ea

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
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