This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

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  • LAGOS-US LIMNO
  • Shuvo, Arnab K; University of Wisconsin-Madison
    Lottig, Noah R; University of Wisconsin-Madison
    Webster, Katherine E; Michigan State University
    Delany, Austin; University of Wisconsin-Madison
    Reinl, Kait; University of Wisconsin-Madison
    Gries, Corinna; University of Wisconsin-Madison
    Smith, Nicole; Michigan State University
    Poisson, Autumn C; Michigan State University
    McCullough, Ian M; Michigan State University
    Collins, Sarah M; University of Wyoming
    King, Katelyn B.S.; Michigan State University
    Phillips, E
    Cheruvelil, Kendra S; Michigan State University
    Soranno, Patricia A; Michigan State University
  • 2023-06-14
  • Shuvo, A.K., N.R. Lottig, K.E. Webster, A. Delany, K. Reinl, C. Gries, N. Smith, A.C. Poisson, I.M. McCullough, S.M. Collins, K.B. King, E. Phillips, K.S. Cheruvelil, and P.A. Soranno. 2023. LAGOS-US LIMNO ver 4. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).
  • The LAGOS-US LIMNO data package is one of the core data modules of LAGOS-US, an extensible research-ready platform designed to study the 479,950 lakes and reservoirs larger than or equal to 1 ha in the conterminous US (48 states plus the District of Columbia). The LIMNO module contains in situ observations of 47 specific variables for surface samples of lake physics, chemistry, and biology obtained from the Water Quality Portal, the National Lakes Assessment (2007, 2012, 2017), and NEON lakes. LIMNO provides 3,511,020 observations across the 47 parameters collected between 1975 and 2021 from 20,329 unique lakes; the number of observations per lake ranged from 1 to 20,605 with median = 32. The database design that supports the LAGOS-US research platform was created based on several important design features: lakes are the fundamental unit of consideration, all lakes in the spatial extent above the minimum size must be represented, and most information is connected to individual lakes. The design is modular, interoperable (the modules can be used with each other), and extensible (future database modules can be developed and used in the LAGOS-US research platform by others). Users are encouraged to use the other two core data modules that are part of the LAGOS-US platform: LOCUS (location, identifiers, and physical characteristics of lakes and their watersheds) and GEO (characteristics defining geospatial and temporal ecological setting quantified at multiple spatial divisions) that are each found in their own data packages.

  • N: 49.0      S: 25.0      E: -67.0      W: -125.0
  • edi.1439.4  (Uploaded 2023-06-14)  
  • 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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EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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