The Eel River CZO cyberinfrastructure effort is centered around NSF-sponsored Observations Data Model projects. We have developed the Berkeley Sensor Database with a focus on practical management of large scale monitoring systems.
Please visit the Berkeley Sensor Database, log in as "guest" with no password to peruse our public datasets.
We are working with other CZOs to develop cross-CZO capabilities for sharing, integrating, analyzing, and preserving CZO data.
Informatics & Cyberinfrastructure
The Eel River CZO adopted a modified version of the Consortium of Universities for the Advancement of Hydrologic Science, Inc.'s (CUAHSI) Hydrologic Information System (HIS). We migrated the Observations Data Model (ODM 1.1) to an open source LAMP platform and added methods to record information regarding data quality and events that affect sensors. Our Berkeley Sensor Database can by accessed using 'guest' login. It has been in operation since 2008 and has over 300 million records for 700 instruments at a 5 minute timestep. (PDF of poster, 50MB).
Berkeley Sensor Database Poster, AGU 2010
(53 MB pdf)
AGU Conference Poster, 2010 on Berkeley Sensor Database, an implementation of CUAHSI's ODM for the Keck HydroWatch project. PDF 50MB.
News Category: Data
08 Jul 2019 - CZO will end Nov 2020, succeeded by the “CZ Collaborative Network”. Let’s explore how the CZ community can build upon the CZOs via new NSF proposals.
06 Nov 2018 - Marshall Receives 2018 Luna B. Leopold Young Scientist Award
30 Oct 2017 - Water Resources Research published a new special collection in September 2017 featuring concentration-discharge research from multiple CZOs.
04 Dec 2015 - Taking the Pulse of the Earth's Surface Systems In September of 2014, Laurel Larsen (UC Berkley), Elizabeth Hajek (Penn State), and others...
03 Nov 2014 - The US CZO National Office has organized a webinar on December 8, 2014 at 11AM - 12:30 PM ET.
24 Apr 2014 - Information for the 2014 All Hands Meeting for the CZO Network on 21-14 September, including registration information and abstract submission.
Discipline Tag: Data Management / Cyberinfrastructure