I. Data Set Descriptors A. Title: Yeajin Jung. 2017. Above- and below-ground non-structural carbohydrates (NSC) in Spartina alterniflora from 6 permenant plots near the flux tower, on Sapleo Island in Georgia, USA. Georgia Coastal Ecosystems LTER Data Catalog (data set ORG-GCET-1712; /data/ORG-GCET-1712) B. Accession Number: ORG-GCET-1712 C. Description 1. Originator(s): Name: Yeajin Jung Address: Dept. of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: yeajin84@uga.edu 2. Abstract: 4 types of NSC (glucose, fructose, stucrose, starch) were measured in 8 different tissue parts (Green leaves, green stems, yellow leaves, yellow stems, brown leaves and stem, flowers, belowground 0-10cm, belowground 10-30cm) from the tall type of Spartina montly between Sep. 2013 and Aug. 2014. 3. Study Type: Graduate Thesis Study 4. Study Themes: Organic Matter/Decomposition, Plant Ecology 5. LTER Core Areas: Other Site Research 6. Georeferences: none 7. Submission Date: Nov 01, 2017 D. Keywords: Angiospermae, carbohydrates, fructose, GCE, Georgia, Georgia Coastal Ecosystems, glucose, Lilianae, LTER, Magnoliopsida, Non-structural carbohydrates, organic matter, Plantae, Poaceae, Poales, primary production, Sapelo Island, Spartina, Spartina alterniflora, Spermatophytina, starch, Streptophyta, sucrose, Tracheophyta, USA, Viridaeplantae II. Research Origin Descriptors A. Overall Project Description 1. Project Title: Georgia Coastal Ecosystems LTER Project III 2. Principal Investigators: Name: Merryl Alber Address: Dept. of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: malber@uga.edu 3. Funding Period: Nov 01, 2012 to Nov 01, 2018 4. Objectives: The research proposed for GCE-III is designed to address how variations in salinity and inundation, driven by climate change and anthropogenic factors, affect biotic and ecosystem responses at different spatial and temporal scales, and to predict the consequences of these changes for habitat provisioning and carbon (C) sequestration across the coastal landscape. 5. Abstract: The Georgia Coastal Ecosystems (GCE) LTER is located along three adjacent sounds on the Atlantic coast and includes both intertidal marshes and estuaries. Long-term drivers of climate change, sea level rise and human alterations of the landscape will cause transitions in dominant habitat types (state changes) within the GCE domain by changing the amounts and patterns of water delivery across the landscape. These changes in water delivery can be conceptualized as presses and pulses in river inflow, local runoff, groundwater input, and tidal inundation, which will in turn manifest themselves as changes in salinity and inundation patterns in the domain. The research proposed for GCE-III is designed to address how variations in salinity and inundation, driven by climate change and anthropogenic factors, affect biotic and ecosystem responses at different spatial and temporal scales, and to predict the consequences of these changes for habitat provisioning and carbon (C) sequestration across the coastal landscape. The goals are to: 1) Track long-term changes in climate and human actions in the watershed and adjacent uplands, and evaluate the effects of these drivers on domain boundary conditions. 2) Describe temporal and spatial variability in physical, chemical, geological and biological, and to evaluate how they are affected by variations in river inflow and other boundary conditions. 3) Characterize the responses of three dominant habitats in the domain to pulses and presses in salinity and inundation. 4) Describe patterns of habitat provisioning and C sequestration and export in the GCE domain, and to evaluate how these might be affected by changes in salinity and inundation. These efforts will be synthesized into a synoptic understanding of both biotic and ecosystem responses to variations in salinity and inundation driven by climate change and human activities, which will be used to assess thresholds between habitats and the potential for state changes in the domain. 6. Funding Source: NSF OCE 1237140 B. Sub-project Description 1. Site Description a. Geographic Location: GCE_Flux -- GCE Flux Tower Marsh, Sapelo Island, Georgia Coordinates: GCE_Flux -- NW: 081 17 19.06 W, 31 27 23.72 N NE: 081 16 21.23 W, 31 27 23.72 N SE: 081 16 21.23 W, 31 26 12.12 N SW: 081 17 19.06 W, 31 26 12.12 N b. Physiographic Region: GCE_Flux -- Lower coastal plain c. Landform Components: GCE_Flux -- Intertidal salt marsh bordering maritime forest d. Hydrographic Characteristics: GCE_Flux -- Site is along the Duplin River, and bounded by Barn Creek on the south and east, and is subject to 2-3m semi-diurnal tides e. Topographic Attributes: GCE_Flux -- Flat, with elevations ranging from 0-3m above mean low tide f. Geology, Lithology and Soils: GCE_Flux -- unspecified g. Vegetation Communities: GCE_Flux -- Dominated by Spartina alterniflora h. History of Land Use and Disturbance: none recorded i. Climate: Climate summary for Sapelo Island, Georgia, based on NWS data from 1980-2010: Daily-aggregated Values: Mean (sample standard deviation) mean air temperature: 20.09°C (7.28°C) minimum air temperature: 15.02°C (7.96°C) maximum air temperature: 24.82°C (6.98°C) total precipitation: 3.26mm (10.3mm) Yearly-aggregated Daily Values: Mean (sample standard deviation) total precipitation (1980-2010): 1124mm (266mm) 2. Experimental or Sampling Design a. Design Characteristics: Two cores were collected from locations randomly selected from within 6 long-term sampling sites. Above-ground tissues were separated into 6 distinct categories; green leaves, green stems, senescing yellow leaves, senescing yellow stems, flowers, and brown leaves and stems representing dead material. Below-ground cores were divided into 2 categories; shallow (0–10 cm) and deep (10–30 cm) parts. NSC content in samples was analyzed using a method modified from Zhao et al. (2010). b. Permanent Plots: 6 long-term tall type Spartina sampling sites near flux tower  c. Data Collection Duration and Frequency: Two cores were collected from locations randomly selected from within 6 long-term sampling sites. Above-ground samples were clipped at the ground level and the below-ground samples were collected using a 7.5 cm diameter PVC pipe. Cores were taken to a depth of 30 cm, taking care to preserve above-ground shoots; cores were collected such that there were 1 or 2 above-ground shoots per core. Samples were kept at 4 °C for one night. On the next day, the cores were gently washed with flowing fresh water over an 800 µm sieve to remove mud, then dried in an oven at 60 °C for 3 days. Beginning of Observations: Sep 01, 2013 End of Observations: Aug 30, 2014 3. Research Methods a. Field and Laboratory Methods: Method 1: Sample Collection -- Two cores were collected from locations randomly selected from within 6 long-term sampling sites. Above-ground samples were clipped at the ground level and the below-ground samples were collected using a 7.5 cm diameter PVC pipe. Cores were taken to a depth of 30 cm, taking care to preserve above-ground shoots; cores were collected such that there were 1 or 2 above-ground shoots per core. Samples were kept at 4 °C for one night. On the next day, the cores were gently washed with flowing fresh water over an 800 µm sieve to remove mud, then dried in an oven at 60 °C for 3 days. Method 2: Sample Perparation -- Above-ground tissues were separated into 6 distinct categories; green leaves, green stems, senescing yellow leaves, senescing yellow stems, flowers, and brown leaves and stems representing dead material. Only live roots and rhizomes were used and these were distinguished using the method described by Valiela et al. (1976). Below-ground cores were divided into 2 categories; shallow (0–10 cm) and deep (10–30 cm) parts. Each component of the plant biomass was weighed, and approximately 4 g of each tissue part was ground to a fine powder using a ball mill (model 8000-D Mixer/Mill, Spex Sample Prep, Metuchen, NJ) until the material passed through a 1 mm screen. Ground samples were stored in airtight scintillation vials. Method 3: Sample Analysis -- NSC content in samples was analyzed using a method modified from Zhao et al. (2010). Approximately 16 mg of each dried powder sample were placed in a 1.5 mL micro-centrifuge tube. Sugars in samples were solubilized using 80% ethanol in an 80 °C water bath and the extraction process repeated three times to ensure all solubilized sugars from the samples were collected. The final extract volume was centrifuged for 15 min at 13,500 × g. Three replicates of supernatant were incubated with a sequence of enzymes in 96-well plates to quantify glucose, fructose, and sucrose content in each sample. Between extraction of each soluble NSC process, the tube containing supernatant was placed in boiling water to halt any digestion of sugars. Starch, the water-insoluble sugar remaining in the pellet after removal of the supernatant, was solubilized following the procedure specified in Zhao et al. (2010) and then reduced to glucose. The absorbance of each sample was determined photometrically at 340 nm using a 96-Well plate reader (Flexstation3 Benchtop Multi-mode Multiplate Reader, Molecular Devices, Sunnyvale, CA). NSC concentrations were quantified according to standard curves using d-(+)-glucose standards that were run with each plate. b. Protocols: Method 1: none Method 2: none Method 3: none c. Instrumentation: Method 1: none Method 2: ball mill - model 8000-D Mixer/Mill, Spex Sample Prep, Metuchen, NJ Method 3: Flexstation3 Benchtop Multi-mode Multiplate Reader, Molecular Devices, Sunnyvale, CA d. Taxonomy and Systematics: Method 1: not applicable Method 2: not applicable Method 3: not applicable e. Speclies List: f. Permit History: Method 1: not applicable Method 2: not applicable Method 3: not applicable 4. Project Personnel a. Personnel: Yeajin Jung b. Affiliations: University of Georgia, Athens, Georgia III. Data Set Status and Accessibility A. Status 1. Latest Update: 17-Nov-2023 2. Latest Archive Date: 07-Dec-2017 3. Latest Metadata Update: 17-Nov-2023 4. Data Verification Status: New Submission B. Accessibility 1. Storage Location and Medium: Stored at GCE-LTER Data Management Office Dept. of Marine Sciences Univ. of Georgia Athens, GA 30602-3636 USA on media: electronic data download (WWW) or compact disk 2. Contact Person: Name: Wade M. Sheldon, Jr. Address: Dept. of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: sheldon@uga.edu 3. Copyright Restrictions: not copyrighted 4. Restrictions: This information is licensed under a Creative Commons Attribution 4.0 International License (see: https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) has an ethical obligation 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. a. Release Date: Affiliates: Nov 01, 2017, Public: Nov 01, 2018 b. Citation: Data provided by the Georgia Coastal Ecosystems Long Term Ecological Research Project, supported by funds from NSF OCE 1237140 (data set ORG-GCET-1712) c. Disclaimer: The user assumes all responsibility for errors in judgement based on interpretation of data and analyses presented in this data set. 5. Costs: free electronic data download via WWW, distribution on CD may be subject to nominal processing and handling fee IV. Data Structural Descriptors A. Data Set File 1. File Name: ORG-GCET-1712_1_1.CSV 2. Size: 96 records 3. File Format: ASCII text (comma-separated value format) 3a. Delimiters: single comma 4. Header Information: 5 lines of ASCII text 5. Alphanumeric Attributes: 6. Quality Control Flag Codes: Q = questionable value, I = invalid value, E = estimated value, N = Not Detected, T = Tissue not collected 7. Authentication Procedures: 8. Calculations: 9. Processing History: Software version: GCE Data Toolbox Version 3.9.10 (23-May-2022) Data structure version: GCE Data Structure 1.1 (29-Mar-2001) Original data file processed: ORG-GCET-1712.txt (96 records) Data processing history: 07-Dec-2017: new GCE Data Structure 1.1 created ('newstruct') 07-Dec-2017: 96 rows imported from ASCII data file 'ORG-GCET-1712.txt' ('imp_ascii') 07-Dec-2017: 83 metadata fields in file header parsed ('parse_header') 07-Dec-2017: data structure validated ('gce_valid') 07-Dec-2017: converted text codes in flag column(s) Flag_Glucose_core1, Flag_SD_Glucose_core1, Flag_Glucose_core2, Flag_SD_Glucose_core2, Flag_Fructose_core1, Flag_SD_Fructose_core1, Flag_Fructose_core2, Flag_SD_Fructose_core2, Flag_Sucrose_core1, Flag_SD_Sucrose_core1, Flag_Sucrose_core2, Flag_SD_Sucrose_core2, Flag_Starch_core1, Flag_SD_Starch_core1, Flag_Starch_core2 and Flag_SD_Starch_core2 to QA/QC flags for data column(s) Glucose_core1, SD_Glucose_core1, Glucose_core2, SD_Glucose_core2, Fructose_core1, SD_Fructose_core1, Fructose_core2, SD_Fructose_core2, Sucrose_core1, SD_Sucrose_core1, Sucrose_core2, SD_Sucrose_core2, Starch_core1, SD_Starch_core1, Starch_core2 and SD_Starch_core2 and deleted flag source columns ('cols2flags') 07-Dec-2017: updated 1 metadata fields in the Dataset sections ('addmeta') 07-Dec-2017: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ('imp_gcemetadata') 07-Dec-2017: updated 57 metadata fields in the Dataset, Project, Site, Status, Study, Supplement sections ('addmeta') 07-Dec-2017: manually edited data set metadata ('ui_editmetadata') 07-Dec-2017: Q/C Criteria of column DryWeight_core1 changed from '' to 'x==NaN='T''; Q/C Criteria of column DryWeight_core2 changed from '' to 'x==NaN='T' ('ui_editor') 07-Dec-2017: Q/C flagging criteria applied for column(s) DryWeight_core1 and DryWeight_core2, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C Criteria of column DryWeight_core1 changed from 'x==NaN='T'' to 'strcmp(x,NaN)='T' ('ui_editor') 07-Dec-2017: Q/C flagging criteria applied for column(s) DryWeight_core1, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C Criteria of column DryWeight_core1 changed from 'strcmp(x,NaN)='T'' to 'strcmp(x,'NaN')='T' ('ui_editor') 07-Dec-2017: Q/C flagging criteria applied for column(s) DryWeight_core1, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C Criteria of column DryWeight_core1 changed from 'strcmp(x,'NaN')='T'' to 'isnan(x)='T' ('ui_editor') 07-Dec-2017: Q/C flagging criteria applied for column(s) DryWeight_core1, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C Criteria of column DryWeight_core2 changed from 'x==NaN='T'' to 'isnan(x)='T' ('ui_editor') 07-Dec-2017: Q/C flagging criteria applied for column(s) DryWeight_core2, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 07-Dec-2017: manually edited data set metadata ('ui_editmetadata') 17-Nov-2023: Units of column Month changed from 'Month' to 'MMMM ('ui_editor') 17-Nov-2023: flags for columns DryWeight_core1, DryWeight_core2, Glucose_core1, SD_Glucose_core1, Glucose_core2, SD_Glucose_core2, Fructose_core1, SD_Fructose_core1, Fructose_core2, SD_Fructose_core2, Sucrose_core1, SD_Sucrose_core1, Sucrose_core2, SD_Sucrose_core2, Starch_core1, SD_Starch_core1, Starch_core2 and SD_Starch_core2 converted to data columns, flag codes updated in metadata ('flags2cols') 17-Nov-2023: updated 6 metadata fields in the Data section(s) ('addmeta') 17-Nov-2023: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ('updatecols') 17-Nov-2023: parsed and formatted metadata ('listmeta') B. Variable Information 1. Variable Name: column 1. Year column 2. Month column 3. Tissue column 4. DryWeight_core1 column 5. Flag_DryWeight_core1 column 6. DryWeight_core2 column 7. Flag_DryWeight_core2 column 8. Glucose_core1 column 9. Flag_Glucose_core1 column 10. SD_Glucose_core1 column 11. Flag_SD_Glucose_core1 column 12. Glucose_core2 column 13. Flag_Glucose_core2 column 14. SD_Glucose_core2 column 15. Flag_SD_Glucose_core2 column 16. Fructose_core1 column 17. Flag_Fructose_core1 column 18. SD_Fructose_core1 column 19. Flag_SD_Fructose_core1 column 20. Fructose_core2 column 21. Flag_Fructose_core2 column 22. SD_Fructose_core2 column 23. Flag_SD_Fructose_core2 column 24. Sucrose_core1 column 25. Flag_Sucrose_core1 column 26. SD_Sucrose_core1 column 27. Flag_SD_Sucrose_core1 column 28. Sucrose_core2 column 29. Flag_Sucrose_core2 column 30. SD_Sucrose_core2 column 31. Flag_SD_Sucrose_core2 column 32. Starch_core1 column 33. Flag_Starch_core1 column 34. SD_Starch_core1 column 35. Flag_SD_Starch_core1 column 36. Starch_core2 column 37. Flag_Starch_core2 column 38. SD_Starch_core2 column 39. Flag_SD_Starch_core2 2. Variable Definition: column 1. Year sample was collected column 2. Month sample was collected column 3. Type of tissue analyzed column 4. Dry weight of tissue in core 1 column 5. QA/QC flags for Dry weight of tissue in core 1 (flagging criteria, where "x" is DryWeight_core1: isnan(x)="T") column 6. Dry weight of tissue in core 2 column 7. QA/QC flags for Dry weight of tissue in core 2 (flagging criteria, where "x" is DryWeight_core2: isnan(x)="T") column 8. Average dry weight of glucose in core 1 (n=3) column 9. QA/QC flags for Average dry weight of glucose in core 1 (n=3) (flagging criteria, where "x" is Glucose_core1: manual) column 10. Standard Deviation of glucose in core 1 column 11. QA/QC flags for Standard Deviation of glucose in core 1 (flagging criteria, where "x" is SD_Glucose_core1: manual) column 12. Average dry weight of glucose in core 2 (n=3) column 13. QA/QC flags for Average dry weight of glucose in core 2 (n=3) (flagging criteria, where "x" is Glucose_core2: manual) column 14. Standard Deviation of glucose in core 2 column 15. QA/QC flags for Standard Deviation of glucose in core 2 (flagging criteria, where "x" is SD_Glucose_core2: manual) column 16. Average dry weight of fructose in core 1 (n=3) column 17. QA/QC flags for Average dry weight of fructose in core 1 (n=3) (flagging criteria, where "x" is Fructose_core1: manual) column 18. Standard Deviation of fructose in core 1 column 19. QA/QC flags for Standard Deviation of fructose in core 1 (flagging criteria, where "x" is SD_Fructose_core1: manual) column 20. Average dry weight of fructose in core 2 (n=3) column 21. QA/QC flags for Average dry weight of fructose in core 2 (n=3) (flagging criteria, where "x" is Fructose_core2: manual) column 22. Standard Deviation of fructose in core 2 column 23. QA/QC flags for Standard Deviation of fructose in core 2 (flagging criteria, where "x" is SD_Fructose_core2: manual) column 24. Average dry weight of sucrose in core 1 (n=3) column 25. QA/QC flags for Average dry weight of sucrose in core 1 (n=3) (flagging criteria, where "x" is Sucrose_core1: manual) column 26. Standard Deviation of sucrose in core 1 column 27. QA/QC flags for Standard Deviation of sucrose in core 1 (flagging criteria, where "x" is SD_Sucrose_core1: manual) column 28. Average dry weight of sucrose in core 2 (n=3) column 29. QA/QC flags for Average dry weight of sucrose in core 2 (n=3) (flagging criteria, where "x" is Sucrose_core2: manual) column 30. Standard Deviation of sucrose in core 2 column 31. QA/QC flags for Standard Deviation of sucrose in core 2 (flagging criteria, where "x" is SD_Sucrose_core2: manual) column 32. Average dry weight of starch in core 1 (n=3) column 33. QA/QC flags for Average dry weight of starch in core 1 (n=3) (flagging criteria, where "x" is Starch_core1: manual) column 34. Standard Deviation of starch in core 1 column 35. QA/QC flags for Standard Deviation of starch in core 1 (flagging criteria, where "x" is SD_Starch_core1: manual) column 36. Average dry weight of starch in core 2 (n=3) column 37. QA/QC flags for Average dry weight of starch in core 2 (n=3) (flagging criteria, where "x" is Starch_core2: manual) column 38. Standard Deviation of starch in core 2 column 39. QA/QC flags for Standard Deviation of starch in core 2 (flagging criteria, where "x" is SD_Starch_core2: manual) 3. Units of Measurement: column 1. YYYY column 2. MMMM column 3. none column 4. grams column 5. none column 6. grams column 7. none column 8. grams column 9. none column 10. grams column 11. none column 12. grams column 13. none column 14. grams column 15. none column 16. grams column 17. none column 18. grams column 19. none column 20. grams column 21. none column 22. grams column 23. none column 24. grams column 25. none column 26. grams column 27. none column 28. grams column 29. none column 30. grams column 31. none column 32. grams column 33. none column 34. grams column 35. none column 36. grams column 37. none column 38. grams column 39. none 4. Data Type a. Storage Type: column 1. integer column 2. string column 3. string column 4. floating-point column 5. string column 6. floating-point column 7. string column 8. floating-point column 9. string column 10. floating-point column 11. string column 12. floating-point column 13. string column 14. floating-point column 15. string column 16. floating-point column 17. string column 18. floating-point column 19. string column 20. floating-point column 21. string column 22. floating-point column 23. string column 24. floating-point column 25. string column 26. floating-point column 27. string column 28. floating-point column 29. string column 30. floating-point column 31. string column 32. floating-point column 33. string column 34. floating-point column 35. string column 36. floating-point column 37. string column 38. floating-point column 39. string b. Variable Codes: Flag_DryWeight_core1: T = Tissue not collected Flag_DryWeight_core2: T = Tissue not collected Flag_Glucose_core1: N = Not Detected Flag_SD_Glucose_core1: N = Not Detected Flag_Glucose_core2: N = Not Detected Flag_SD_Glucose_core2: N = Not Detected Flag_Fructose_core1: N = Not Detected Flag_SD_Fructose_core1: N = Not Detected Flag_Fructose_core2: N = Not Detected Flag_SD_Fructose_core2: N = Not Detected Flag_Sucrose_core1: N = Not Detected Flag_SD_Sucrose_core1: N = Not Detected Flag_Sucrose_core2: N = Not Detected Flag_SD_Sucrose_core2: N = Not Detected Flag_Starch_core1: N = Not Detected Flag_SD_Starch_core1: N = Not Detected Flag_Starch_core2: N = Not Detected Flag_SD_Starch_core2: N = Not Detected c. Numeric Range: column 1. 2013 to 2014 column 2. (none) column 3. (none) column 4. 0.03 to 25.65 column 5. (none) column 6. 0.09 to 21.57 column 7. (none) column 8. 0.0001 to 0.8312 column 9. (none) column 10. 0 to 0.2134 column 11. (none) column 12. 0.0001 to 0.4774 column 13. (none) column 14. 0 to 0.0632 column 15. (none) column 16. 0.0001 to 0.4751 column 17. (none) column 18. 0 to 0.2702 column 19. (none) column 20. 0.0001 to 0.3525 column 21. (none) column 22. 0 to 0.0702 column 23. (none) column 24. 0.0001 to 4.1799 column 25. (none) column 26. 0 to 0.5331 column 27. (none) column 28. 0.0003 to 2.8785 column 29. (none) column 30. 0 to 0.2567 column 31. (none) column 32. 0.0002 to 0.8921 column 33. (none) column 34. 0 to 0.0725 column 35. (none) column 36. 0.0001 to 1.109 column 37. (none) column 38. 0 to 0.0807 column 39. (none) d. Missing Value Code: 5. Data Format a. Column Type: column 1. numerical column 2. text column 3. text column 4. numerical column 5. text column 6. numerical column 7. text column 8. numerical column 9. text column 10. numerical column 11. text column 12. numerical column 13. text column 14. numerical column 15. text column 16. numerical column 17. text column 18. numerical column 19. text column 20. numerical column 21. text column 22. numerical column 23. text column 24. numerical column 25. text column 26. numerical column 27. text column 28. numerical column 29. text column 30. numerical column 31. text column 32. numerical column 33. text column 34. numerical column 35. text column 36. numerical column 37. text column 38. numerical column 39. text b. Number of Columns: 39 c. Decimal Places: column 1. 0 column 2. 0 column 3. 0 column 4. 2 column 5. 0 column 6. 2 column 7. 0 column 8. 4 column 9. 0 column 10. 4 column 11. 0 column 12. 4 column 13. 0 column 14. 4 column 15. 0 column 16. 4 column 17. 0 column 18. 4 column 19. 0 column 20. 4 column 21. 0 column 22. 4 column 23. 0 column 24. 4 column 25. 0 column 26. 4 column 27. 0 column 28. 4 column 29. 0 column 30. 4 column 31. 0 column 32. 4 column 33. 0 column 34. 4 column 35. 0 column 36. 4 column 37. 0 column 38. 4 column 39. 0 6. Logical Variable Type: column 1. datetime (discrete) column 2. datetime (none) column 3. free text (none) column 4. data (continuous) column 5. coded value (none) column 6. data (continuous) column 7. coded value (none) column 8. data (continuous) column 9. coded value (none) column 10. data (continuous) column 11. coded value (none) column 12. data (continuous) column 13. coded value (none) column 14. data (continuous) column 15. coded value (none) column 16. data (continuous) column 17. coded value (none) column 18. data (continuous) column 19. coded value (none) column 20. data (continuous) column 21. coded value (none) column 22. data (continuous) column 23. coded value (none) column 24. data (continuous) column 25. coded value (none) column 26. data (continuous) column 27. coded value (none) column 28. data (continuous) column 29. coded value (none) column 30. data (continuous) column 31. coded value (none) column 32. data (continuous) column 33. coded value (none) column 34. data (continuous) column 35. coded value (none) column 36. data (continuous) column 37. coded value (none) column 38. data (continuous) column 39. coded value (none) 7. Flagging Criteria: column 1. none column 2. none column 3. none column 4. isnan(x)="T" column 5. none column 6. isnan(x)="T" column 7. none column 8. manually-assigned flags column 9. none column 10. manually-assigned flags column 11. none column 12. manually-assigned flags column 13. none column 14. manually-assigned flags column 15. none column 16. manually-assigned flags column 17. none column 18. manually-assigned flags column 19. none column 20. manually-assigned flags column 21. none column 22. manually-assigned flags column 23. none column 24. manually-assigned flags column 25. none column 26. manually-assigned flags column 27. none column 28. manually-assigned flags column 29. none column 30. manually-assigned flags column 31. none column 32. manually-assigned flags column 33. none column 34. manually-assigned flags column 35. none column 36. manually-assigned flags column 37. none column 38. manually-assigned flags column 39. none C. Data Anomalies: Where a tissue type was not present in a core, the "DryWeight" column is flagged "T" for "Tissue not collected". In samples where the analyte concentration was not detected the values (and their corresponding standard deviation values) were flagged "N" for "Not Detected" V. Supplemental Descriptors A. Data Acquisition 1. Data Forms: 2. Form Location: 3. Data Entry Validation: B. Quality Assurance/Quality Control Procedures: C. Supplemental Materials: D. Computer Programs: E. Archival Practices: F. Publications: not specified G. History of Data Set Usage 1. Data Request History: not specified 2. Data Set Update History: none 3. Review History: none 4. Questions and Comments from Users: none