When using LAGOS-NE data, you should almost always have at least 4 items in your reference section: (1) The data paper itself; (2) The specific data packages that you used; (3) The R package, if you used it to access the data; (4) The database-methods paper.
Note that it is NOT recommended that you cite the data using a URL in your text, most journals do not allow this anymore and it is not good practice, because it does not allow tracking of citations. The emerging standard is to cite data and R packages in the reference section of your article. Also, please be sure to always use version numbers in the methods sections (see below) and refer to these data products as LAGOS-NE, since there are other types of LAGOS data products (such as the upcoming LAGOS-US data products). Data citation is something that is still evolving. However, given the complexity in what makes up the LAGOS-NE database, we want to ensure that the appropriate parts of cited for future users to find key information and data.
Citing the data paper
- It is important to cite the data paper because the co-authors on this article are the people who kindly contributed data, thus citing this paper gives credit to the data providers. This is the way that data contributors can get recognized. Please do not simply cite the data packages since the data providers are not listed on the data package, but they are listed on this data paper. The data packages are provided in this data paper too. In fact, we recommend that you cite this paper as well as the specific data packages because future users likely will not use all 4 data products, so you should include only the data packages that you used in addition to this paper.
DATA PAPER: Soranno, P.A., L.C. Bacon, M. Beauchene, K.E. Bednar, E.G. Bissell, C.K. Boudreau, M.G. Boyer, M.T. Bremigan, S.R. Carpenter, J.W. Carr, K.S. Cheruvelil, S.T. Christel, M. Claucherty, S.M. Collins, J.D. Conroy, J.A. Downing, J. Dukett, C.E. Fergus, C.T. Filstrup, C. Funk, M.J. Gonzalez, L.T. Green, C. Gries, J.D. Halfman, S.K. Hamilton, P.C. Hanson, E.N. Henry, E.M. Herron, C. Hockings, J.R. Jackson, K. Jacobson-Hedin, L.L. Janus, W.W. Jones, J.R. Jones, C.M. Keson, K.B.S. King, S.A. Kishbaugh, J.-F. Lapierre, B. Lathrop, J.A. Latimore, Y. Lee, N.R. Lottig, J.A. Lynch, L.J. Matthews, W.H. McDowell, K.E.B. Moore, B.P. Neff, S.J. Nelson, S.K. Oliver, M.L. Pace, D.C. Pierson, A.C. Poisson, A.I. Pollard, D.M. Post, P.O. Reyes, D.O. Rosenberry, K.M. Roy, L.G. Rudstam, O. Sarnelle, N.J. Schuldt, C.E. Scott, N.K. Skaff, N.J. Smith, N.R. Spinelli, J.J. Stachelek, E.H. Stanley, J.L. Stoddard, S.B. Stopyak, C.A. Stow, J.M. Tallant, P.-N. Tan, A.P. Thorpe, M.J. Vanni, T. Wagner, G. Watkins, K.C. Weathers, K.E. Webster, J.D. White, M.K. Wilmes, S. Yuan. 2017. LAGOS-NE: A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. lakes. Gigascience 6(12) https://doi.org/10.1093/gigascience/gix101
Citing the specific LAGOS-NE data packages that were used in your analysis
- Because it is likely that have not used all data packages associated with LAGOS-NE in your article, you should cite only the data packages that you use and please refer to the version number for each.
LAGOS-NE-LIMNO v1.087.3
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- Soranno P., K. Cheruvelil. 2019. LAGOS-NE-LIMNO v1.087.3: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013. Environmental Data Initiative.
https://doi.org/10.6073/pasta/08c6f9311929f4874b01bcc64eb3b2d7 Dataset accessed 6/1/2019.
- Soranno P., K. Cheruvelil. 2019. LAGOS-NE-LIMNO v1.087.3: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013. Environmental Data Initiative.
LAGOS-NE-LOCUS v1.01
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- Soranno P., K. Cheruvelil. 2017. LAGOS-NE-LOCUS v1.01: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/940b25d022c695b440e1bdbc49fbb77b Dataset accessed 9/26/2017.
LAGOS-NE-GEO v1.05
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- Soranno P., K. Cheruvelil. 2017. LAGOS-NE-GEO v1.05: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 1925-2013. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/b88943d10c6c5c480d5230c8890b74a8 Dataset accessed 9/26/2017.
LAGOS-NE-GIS v1.0
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- Soranno P., K. Cheruvelil. 2017. LAGOS-NE-GIS v1.0: A module for LAGOS-NE, a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. Lakes: 2013-1925. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/fb4f5687339bec467ce0ed1ea0b5f0ca Dataset accessed 9/26/2017.
Citing the R package if you used it to access LAGOS-NE
- If you used the LAGOS-NE R package to access the data, you should also include this in your reference section to ensure reproducibility and to acknowledge the fantastic vision that Sam and Jem had in writing this package for others to access and use the database. This package is now on CRAN.
LAGOSNE R PACKAGE
Stachelek J., Oliver S. 2019. LAGOSNE: Interface to the Lake Multi-scaled Geospatial and Temporal Database. R package version 2.0.1.
https://cran.r-project.org/package=LAGOSNE
Citing the LAGOS-NE database methods paper
- This manuscript is different than the data paper because this paper provides much more detail on how the database was created with all of the details needed to fully understand the database. Citing this paper also acknowledge the work of the data integrators.
LAGOS-NE DATABASE INTEGRATION METHODS: Soranno, P.A., E.G. Bissell, K.S. Cheruvelil, S.T. Christel, S.M. Collins, C.E. Fergus, C.T. Filstrup, J.F. Lapierre, N.R. Lottig, S.K. Oliver, C.E. Scott, N.J. Smith, S. Stopyak, S. Yuan, M.T. Bremigan, J.A. Downing, C. Gries, E.N. Henry, N.K. Skaff, E.H. Stanley, C.A. Stow, P.-N. Tan, T. Wagner, K.E. Webster. 2015. Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science and data reuse. GigaScience 4:28 https://doi.org/10.1186/s13742-015-0067-4