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acknowledgements #11
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HJ Andrews https://andrewsforest.oregonstate.edu/acknowledgements
Schulze, M. 2017. Vegetative Phenology observations at the Andrews Experimental Forest, 2009 - Present. Long-Term Ecological Research. Forest Science Data Bank, Corvallis, OR. [Database]. Available: http://andlter.forestry.oregonstate.edu/data/abstract.aspx?dbcode=TV075 (4 Sep 2017) |
Jornada https://jornada.nmsu.edu/lter/data/policies
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Harvard Forest http://harvardforest.fas.harvard.edu/data-archive/information-management-policy No specific policy. just asks for a citation |
Hubbard Brook http://data.hubbardbrook.org/data/dataset.php?id=51 Bailey A. 2016. Hubbard Brook Experimental Forest (US Forest Service): Routine Seasonal Phenology Measurements, 1989 - present. Environmental Data Initiative. https://doi.org/10.6073/pasta/37733410ba1372aaffb40ce952adc48d. (7 March 2017)
email sent about this. they just say to use the citation and don't mention a grant number |
NPN https://www.usanpn.org/terms#DataAttribution
Also has the richardson citation specific NPN data citation
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The text for all the software citations. Using all the software citations breaks things somehow and sharelatex switches over to numbers instead of author-year We performed all analysis using both the R and Python programming languages \citep{rcitation, python}. Primary R packages used in the analysis included dplyr \citep{dplyr}, tidyr \citep{tidyr}, ggplot2 \citep{ggplot2}, lubridate \citep{lubridate}, prism \citep{prism}, raster \citep{rasterR}, and sp \citep{sp1}. Primary Python packages included SciPy \citep{scipy}, NumPy \citep{numpy}, Pandas \citep{pandas}, and MPI for Python \citep{mpi4py}. |
done |
Use of data and software, either by citation or end of manuscript acknowledgement
Data
Acknowledgements
Citations
Software
Packages (R)
Packages (Python)
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