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  • Institutional Collaboration in the US LTER Network based on bibliometric information (1981-2018)
  • Huang, Tian-Yuan; School of Life Science, Fudan University
    Zhao, Bin; Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, and Shanghai Institute of EcoChongming (SIEC), Fudan University
    Downs, Martha R.; Long Term Ecological Research Network Office, National Center for Ecological Analysis and Synthesis, University of California - Santa Barbara, USA
  • 2020-01-23
  • Huang, T., B. Zhao, and M.R. Downs. 2020. Institutional Collaboration in the US LTER Network based on bibliometric information (1981-2018) ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-04-25).

  • This is a dataset of supplementary materials of an accepted article in Bioscience entitled "Collaboration across time and space in LTER Network". It is based on the bibliography data maintained by LTER Network Office (https://www.zotero.org/groups/2055673/lter_network/items). The analysis was carried out in 2019 with the updated data collecting from individual sites. The dataset contains the basic information that the analysis relies on, and the temporal and spatial patterns of institutional collaboration in the US LTER Network.

  • N: 72.8      S: -79.0      E: 177.0      W: -171.0
  • 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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