Repository logo
Communities & Collections
Research Outputs
Fundings & Projects
People
Statistics
User Manual
Have you forgotten your password?
  1. Home
  2. Faculty of Computer Science and Engineering
  3. Faculty of Computer Science and Engineering: Journal Articles
  4. The NETLAKE Metadatabase—a tool to support automatic monitoring on lakes in Europe and beyond
Details

The NETLAKE Metadatabase—a tool to support automatic monitoring on lakes in Europe and beyond

Journal
Limnology and Oceanography Bulletin
Date Issued
2017-11
Author(s)
Jennings, Eleanor
de Eyto, Elvira
Laas, Alo
Pierson, Don
Clarke, Andrew
Healy, Michael
Šumberová, Kateřina
Langenhaun, Daniel
Abstract
Sharing data is a keystone of collaborative science. A fundamental barrier, however, can be
a lack of knowledge on what is being collected, where, and by whom. The aim of NETLAKE
(COST Action ES1201) was to build a network of sites and individuals to support development
and deployment of automatic sensor-based systems on lakes and reservoirs in Europe. To
support this, NETLAKE developed a metadatabase which could provide answers to questions on where lakes were monitored, details on the frequency and duration of monitoring, contact details, and which sensors were being used.
Development included challenges related to time and resources, and indeed to communication between lake scientists and database experts. In total, metadata for 71 European lakes were
captured. The resulting data revealed interesting facts; for example, seven sites had archives
that spanned over a decade, only seven of these lakes were used as drinking water sources, and
one was a large fish pond. GLEON, the Global Lake Ecological Observatory Network, and two
pan-American projects are now adding their metadata and the metadatabase is developing
into a tool for the global community which can promote high frequency monitoring and facilitate network science.
File(s)
Loading...
Thumbnail Image
Name

Limnology Oceanogr Bull - 2017 - Jennings - The NETLAKE Metadatabase A Tool to Support Automatic Monitoring on Lakes in.pdf

Size

2.24 MB

Format

Adobe PDF

Checksum

(MD5):58eb4b2efed41f83eb3608e734427135

⠀

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify