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  • Lake Wingra: Fish Lengths and Weights
  • Lead PI, NTL; University of Wisconsin
    Magnuson, John; University of Wisconsin
    Carpenter, Stephen; University of Wisconsin
    Stanley, Emily; University of Wisconsin
  • 2010-09-20
  • Lead PI, N., J. Magnuson, S. Carpenter, and E. Stanley. 2019. Lake Wingra: Fish Lengths and Weights ver 16. Environmental Data Initiative. https://doi.org/10.6073/pasta/fe51a0b59af4901dcae6ff5b529eea82 (Accessed 2024-04-26).

  • Data are collected annually to enable us to track the fish assemblages of Lake Wingra. Sampling is done at six littoral zone sites per lake with a beach seine, minnow or crayfish traps, and fyke nets, while a boat-mounted electrofishing system samples four littoral transects. Vertically hung gill nets are used to obtain two pelagic samples per lake from the deepest point. A trammel net samples across the thermocline at two nearshore sites per lake. Fish are identified to species. Lengths are measured for all fish caught, while weight and scale are collected from a subset. Derived data include catch per unit effort and size distribution by species, lake, and year. Sampling Frequency: annually Number of sites: 1

  • N: 43.0581      S: 43.0487      E: -89.4046      W: -89.4317
  • Data Policies This information is released to the public domain under the Creative Commons license CC-BY 4.0 (see: https://creativecommons.org/licenses/by/4.0/). It may be distributed, remixed, and built upon. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. The consumer of these data ("Data User" herein) 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.
  • https://doi.org/10.6073/pasta/fe51a0b59af4901dcae6ff5b529eea82
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