78. Data Management for an in situ Ocean Acidification Experiment

Headley, K.L. (1)*, Peltzer, E.T. (1), Herlien R.A. (1), O’Reilly, T.C. (1), Miller, M. (3), Fountain, T.R. (2), Edgington, D.R. (1), Tilak, S. (2), Kirkwood, W.J. (1), Barry, J.P. (1), Brewer, P.G. (1)

1 Monterey Bay Aquarium Research Institute, Moss Landing, CA, 935039, USA
2 California Institute of Telecommunications and Information Technology, UCSD
La Jolla, CA, 92093, USA
3 Cycronix, Laconia, NH, 03246, USA

Background
Questions regarding the use of laboratory studies of the effects on ocean acidification have led researchers towards conducting more integrative field studies. New techniques and methods are emerging to observe the systemic, long-term effects of increasing atmospheric CO2 on various ecosystems and habitats.

Monterey Bay Aquarium Research Institute (MBARI) has been developing a package of technology and expertise called xFOCE (exportable Free Ocean CO2 Enrichment). xFOCE aims to enable researchers to draw on existing technology, methods, and expertise to conduct cost-effective in situ ocean acidification experiments.

Because in situ experiments may be multidisciplinary, expensive, and complex, they may be conducted collaboratively to increase scientific productivity and reduce cost. Here we explore the use of open source software to monitor remote experiment sites, to reliably collect and distribute FOCE data, and enable collaboration.

Methods
In two MBARI FOCE implementations, low-cost hardware and open source software provide basic data acquisition and archiving functions. In collaboration with Calit2, we have used open source data streaming middleware components called Open Source DataTurbine, CloudTurbine and WebScan in different operational and science workflows. These enable users to view experiment data streams, including images, in near real time using a web browser from remote locations.

Findings
A local CloudTurbine server was configured using a PC. Data from the experiment site was mirrored to the CloudTurbine server, from which users could access it using WebScan or Dropbox. WebScan enables users to view image data and compose multi-variable time-series plots from CloudTurbine streams using a web browser.

Conclusions
Streaming data middleware enables the implementation of distributed observing systems. Open Source DataTurbine and CloudTurbine are easy to use stand-alone or to complement existing data collection infrastructure. The ability to review data remotely via web browser enables remote monitoring and is useful in collaborative and science workflows.