This readme.txt file was generated on <2020-08-30> by <Anna K Schweiger>


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GENERAL INFORMATION
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1. Title of Dataset 
Leaf carbon and nitrogen content of tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016

2. Author Information

  Principal Investigator Contact Information
        Name: Jeannine Cavender-Bares
           Institution: University of Minnesota
           Address: 1475 Gortner Ave, Saint Paul, MN 55108
           Email: cavender@umn.edu
	   ORCID: 0000-0003-3375-9630

  Associate or Co-investigator Contact Information
        Name: Anna K Schweiger
           Institution: University of Minnesota
           Address:
           Email: anna.k.schweiger@gmail.com
	   ORCID: 0000-0002-5567-4200

  Associate or Co-investigator Contact Information
           Name: Cathleen Lapadat
           Institution: University of Minnesota
           Address: 1475 Gortner Ave, Saint Paul, MN 55108
           Email: nguye618@umn.edu
	   ORCID:


3. Date of data collection: 2015-08-10 to 2016-08-10

4. Geographic location of data collection (where was data collected?): Cedar Creek Ecosystem Science Reserve in East Bethel, MN

5. Information about funding sources that supported the collection of the data: 

Sponsorship: DEB-1342872; DEB-1342778; DEB-1342827; DEB-1342823; DEB-1234162; iCORE/AITF (G224150012 and 200700172); NSERC (RGPIN-2015-05129); CFI (26793)

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 United States, http://creativecommons.org/licenses/by-nc-nd/3.0/us/ 

2. Links to publications that cite or use the data:
https://doi.org/10.1038/s41559-018-0551-1
https://doi.org/10.1016/j.rse.2018.11.016
https://doi.org/10.1101/2020.04.24.060483 


3. Links to other publicly accessible locations of the data:


4. Links/relationships to ancillary data sets:


5. Was data derived from another source?
           If yes, list source(s):No


6. Recommended citation for the data:  Schweiger, Anna K; Lapadat, Cathleen; Cavender-Bares, Jeannine. (2020). Leaf carbon and nitrogen content of tree and grassland species collected at the Cedar Creek Ecosystem Science Reserve in 2015 and 2016. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/0476-9m60. 



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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data:
Leaf samples were collected in the field, stored in paper bags and oven-dried at 65 °C for 48 h.
2. Methods for processing the data: 
Carbon and nitrogen contents (%) of oven-dried and ground samples were analyzed with combustion–reduction elemental analysis (TruSpec CN Analyzer, LECO)
3. Instrument- or software-specific: TruSpec CN Analyzer, LECO, St. Joseph, MI, USA
4. Standards and calibration information, if appropriate: 
5. Environmental/experimental conditions: 
Dry field conditions
6. Describe any quality-assurance procedures performed on the data:
Duplicates analyzed for 10% of samples
7. People involved with sample collection, processing, analysis and/or submission:
Anna K. Schweiger (collection, processing, analysis, submission)
Cathleen Lapadat (processing)
Jeannine Cavender-Bares (submission)
Brett Fredericksen (collection)
Ian Carrier (collection)
Lewis French (collection)
Erin Murdock (collection)
Craig See (collection)
Travis Cobb (collection)
Shan Kothari (collection)

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DATA & FILE OVERVIEW
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This data set contains carbon and nitrogen content from combustion–reduction elemental analysis (TruSpec CN Analyzer, LECO) from tree and grassland species sampled at the Cedar Creek Ecosystem Science Reserve in East Bethel, MN. Data were collected as part of the Dimensions of Biodiversity project “Linking remotely sensed optical diversity to genetic, phylogenetic and functional diversity to predict ecosystem processes”. Samples were collected in or near the old fields chronosequence, the oak savanna, and the Forest and Biodiversity Experiment (FAB 1) plots. We used this data together with leaf-level spectral measurements to build partial least squares regression (PLSR) models for predicting leaf traits from spectra. 

1. File List
   A. Filename: DOB_CN.csv	
	Short Description: Leaf carbon and nitrogen content	
	Size: 
	Type: CSV file  


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DATA-SPECIFIC INFORMATION FOR: DOB_CN.csv 
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1. Number of variables: 6

2. Number of cases/rows: 127

3. Missing data codes: NA      

4. Variable List

    	A. nam: sample name, including location code	
	B. year: year collected	
	C. abbrev: species abbreviation	
	D. species: species name	
	E. nitrogen_perc: nitrogen content (%)	
	F. carbon_perc: carbon content (%)