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  • High-Frequency Water Temperature Data at Lake Lillinonah, Connecticut, USA, 2018-current
  • Klug, Jennifer L; Fairfield University Biology Department
    White, Rebekah; Friends of the Lake
    Bollard, Greg; Friends of the Lake
  • Klug, J.L., R. White, and G. Bollard. 2020. High-Frequency Water Temperature Data at Lake Lillinonah, Connecticut, USA, 2018-current ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • An instrumented buoy maintained by Friends of the Lake and Fairfield University has been deployed on Lake Lillinonah (Connecticut, USA) during the summer months to collect high-frequency water quality data. The buoy is deployed early each summer and remains in the lake until late October. The instrumented buoy is equipped with an RBR temperature sensor chain, collected data every meter from a depth of 0.6 meters to 14.5 meters and every two meters to a depth of 18.5. meters. Data was collected every fifteen minutes. Included in this data package are data sets containing 15-minute data as well as daily averages.

    Prior to the deployment of the RBR temperature sensor, the instrumented buoy was equipped with a Nexsens T-node thermistor chain (2011-2015) with sensors at different depths. These data are available in the data package EDI557.

    Additional high-frequency water quality data for Lake Lillinonah including dissolved oxygen, specific conductance and pigment fluorescence are available in packages EDI559 and EDI560.

  • N: 41.543      S: 41.4467      E: -73.294      W: -73.4074
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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