edu.ucar.opensky::articles:42925 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T17:58:56.126209 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.net/ark:/85065/d7st7v67 https://doi.org/10.5066/P9KZCM54 https Related Dataset #1 National Land Cover Database (NLCD) 2019 Products (ver. 3.0, February 2024) https://doi.org/10.5281/ZENODO.12795497 https Related Software #1 atkinsjeff/NEONForestAGB: NEONForestAGBv1.0.2 Recommendations for developing, documenting, and distributing data products derived from NEON data 2025-01-01T00:00:00Z publication https://n2t.net/ark:/85065/d7st7v67 https://doi.org/10.1002/ecs2.70159 Atkins, J. W. author Aho, K. S. author Chen, X. author Elmore, A. J. author Fiorella, R. author Luo, W. author Lombardozzi, Danica author Lunch, C. author Manak, L. author de Pablo, L. X. author Myers‐Pigg, A. N. author Record, S. author Qiu, T. author Reed, S. author Ruddell, B. author Strange, B. author Torrens, C. L. author Yule, K. author Richardson, A. D. author UCAR/NCAR - Library publisher The National Ecological Observatory Network (NEON) provides over 180 distinct data products from 81 sites (47 terrestrial and 34 freshwater aquatic sites) within the United States and Puerto Rico. These data products include both field and remote sensing data collected using standardized protocols and sampling schema, with centralized quality assurance and quality control (QA/QC) provided by NEON staff. Such breadth of data creates opportunities for the research community to extend basic and applied research while also extending the impact and reach of NEON data through the creation of derived data products&#8212;higher level data products derived by the user community from NEON data. Derived data products are curated, documented, reproducibly&#8208;generated datasets created by applying various processing steps to one or more lower level data products&#8212;including interpolation, extrapolation, integration, statistical analysis, modeling, or transformations. Derived data products directly benefit the research community and increase the impact of NEON data by broadening the size and diversity of the user base, decreasing the time and effort needed for working with NEON data, providing primary research foci through the development via the derivation process, and helping users address multidisciplinary questions. Creating derived data products also promotes personal career advancement to those involved through publications, citations, and future grant proposals. However, the creation of derived data products is a nontrivial task. Here we provide an overview of the process of creating derived data products while outlining the advantages, challenges, and major considerations. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication <span style="font-family:Arial;font-size:10pt;font-style:normal;" data-sheets-root="1">Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</span> None eng geoscientificInformation