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Papers & Publications

Do you have a recent paper that uses NEON data, samples, or other resources? Let NEON know - we can promote it!
Publication Promotion Form

 


There are several ways to explore NEON publications! 

  • Search for publications by DOI, author, or other keywords through page or our . 
  • Search the for publications citing NEON sample and occurrence data. 
  • Use the to view publications that reference NEON Biorepository samples or operations. 
  • Visit NEON Biorepository's page to see which specific samples have contributed to research studies.

Dimensions & Altmetrics

NEON is proud to offer our own search page powered by . Here, you can discover NEON products (publications, grant, and policy documents) and easily explore any metrics associated with those papers. This new automated page adds a new, different level of finding papers that involve NEON data, samples, authors, and much more.

Zotero

Every month, publications that use NEON data and resources are identified through a comprehensive database search. These publications are imported into a , where they are tagged to make them easy to query. Below, you will find instructions for finding publications of interest. If you know of a publication not included in the list, please notify us.

To access the library and search publications of interest:

  • Visit the . The most recently added publications will appear on a table on the home page.
  • To view the full library, click on 鈥淕roup Library.鈥� Links can be found at the top and bottom of the recently added items table.
  • In the top right of the page, you will see a search icon with the options to search by title, creator, year or title, creator, year + full-text content.
  • To filter publications by tag, type in the tag you would like into the 鈥淔ilter Tags鈥� field at the bottom left side of the screen. There will be author tags visible as well. Tags that have been added by NEON include:
    • NEON Research Support Services: Publications that used NEON Research Support Services
    • NEON Acknowledged: Publications that acknowledge NEON. For information on how to appropriately acknowledge use of NEON in your work, please read our citation guidelines
    • NEON Algorithm/Protocol: Publications that used a NEON algorithm or protocol
    • NEON Author: Publications with a NEON author. These publications do not necessarily use NEON data or resources.
    • NEON Data: Publications that used NEON data
    • NEON Samples: Publications that used NEON samples
    • Open Access: Publications that are open access.
  • Other tags allow you to search by location and data product or sample IDs (if known)
    • Domain in the format D01, D02, etc., or state names
    • Field site name abbreviation (e.g., SCBI)
    • Data product IDs in the format DPn.nnnnn.nnn. You can do a string search for 鈥淒P鈥� or 鈥淒P1鈥�, 鈥淒P2鈥�, etc.
    • Sample class for

GBIF       

NEON biological sample data can be found in the Global Biodiversity Information Facilities (GBIF) network. The partnership allows NEON data to be discovered and used alongside similar historical and global datasets. 

Whenever a user downloads a set of records, GBIF issues them a DOI that is a record of the records in that download. In this way, GBIF tracks and reports the publications that cite specific records, including those with NEON biological sample data. To explore publications that cite GBIF datasets with NEON records, . 

Biorepository Google Scholar Profile

The NEON Biorepository maintains a to track and showcase publications that utilize NEON Biorepository samples and resources. 

Published Sample Research Datasets

Explore which NEON Biorepository samples have been used in scientific publications by visiting the Biorepository's . Each dataset is linked to its respective publication, providing a clear connection between the samples and the research they support. This resource offers an easy way to discover which NEON Biorepository samples have contributed to scientific studies. 

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.