Title: Observational data of temperature and oxygen for the study "High-frequency observations of temperature and dissolved oxygen reveal under-ice convection in a large lake"

Type Dataset Bernard Yang, Joelle Young, Laura Brown, Mathew Wells (2017): Observational data of temperature and oxygen for the study "High-frequency observations of temperature and dissolved oxygen reveal under-ice convection in a large lake". Zenodo. Dataset. https://zenodo.org/record/1035898

Authors: Bernard Yang (University of Toronto Scarborough) ; Joelle Young (Ontario Ministry of Environment and Climate Change) ; Laura Brown (University of Toronto Missisauga) ; Mathew Wells (University of Toronto Scarborough) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Matlab data for both temperature and oxygen time series between December 1, 2014, 0:00 (EST) and April 26, 2015, 0:00 (EST). Temperature profiles are sampled every 20 seconds. Dissolved oxygen are sampled every 30 minutes. The depth of each time series are written on the file name.

More information

• DOI: 10.5281/zenodo.1035898

Dates

• Publication date: 2017
• Issued: October 24, 2017

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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