Standardized NEON organismal data (neonDivData)

• Main Authors: Daijiang Li, Sydne Record, Eric Sokol, Matthew Bitters, Melissa Chen, Anny Chung, Matthew Helmus, Ruvi Jaimes, Lara Jansen, Marta Jarzyna, Michael Just, Jalene LaMontagne, Brett Melbourne, Wynne Moss, Kari Norman, Stephanie Parker, Natalie Robinson, Bijan Seyednasrollah, Sarah Spaulding, Thilina Surasinghe, Sarah Thomsen, Phoebe Zarnetske
• Format: Dataset
• Language: unknown
• Published: Environmental Data Initiative 2022
• Subjects: NEON; National Ecological Observatory Network; herptiles; mosquitoes; tick pathogens; ticks; organisms; biodiversity; algae; beetles; birds; fishes; macroinvertebrates; plants; small mammals; zooplankton; St. Louis; Flint; Wind River; Rock Lake; Blue River; Suggs; Louis Creek; Mayfield Creek; McRae Creek; Caribou-Poker Creeks Research Watershed
• Online Access: https://pasta.lternet.edu/package/metadata/eml/edi/1118/1

To standardize NEON organismal data for major taxonomic groups, we first systematically reviewed NEON’s documentations for each taxonomic group. We then discussed as a group and with NEON staff to decide how to wrangle and standardize NEON organismal data. See Li et al. 2022 for more details. All R code to process NEON data products can be obtained through the R package ‘ecocomDP’. Once the data are in ecocomDP format, we further processed them to convert them into long data frames with code on Github (https://github.com/daijiang/neonDivData/tree/master/data-raw), which is also archived here.