Data Package Metadata   View Summary

Jornada LTER NPP C-GRAV meteorological station: 1-hour summary data

General Information
Data Package:
Local Identifier:knb-lter-jrn.210437032.1
Title:Jornada LTER NPP C-GRAV meteorological station: 1-hour summary data
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Hourly summary data at NPP C-GRAV met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program.

Publication Date:2019

Time Period
Begin:
2013-08-01
End:
2019-05-13

People and Organizations
Contact:Manager, Data (JRN-LTER Information Manager) [  email ]
Creator:Anderson, John (JRN LTER, Research Site Manager)

Data Entities
Data Table Name:
data
Description:
Main data table from Jornada LTER NPP C-GRAV meteorological station: 1-hour summary data
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210437032/1/8d777f385d3dfec8815d20f7496026dc
Name:data
Description:Main data table from Jornada LTER NPP C-GRAV meteorological station: 1-hour summary data
Number of Columns:39
Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

07-May-2019 13:28:48: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

07-May-2019 13:28:48: 34252 rows imported from ASCII data file 'npp_cr1000_c-grav_data_table_1_hour.dat' ('imp_ascii')

Substep 3 
Description:

07-May-2019 13:28:48: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

07-May-2019 13:28:48: data descriptor metadata updated based on the template 'npp_CR1000_C-GRAV_Data_Table_1_Hour' ('meta_template')

Substep 5 
Description:

07-May-2019 13:28:48: data structure validated ('gce_valid')

Substep 6 
Description:

07-May-2019 13:28:48: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

07-May-2019 13:28:52: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

07-May-2019 13:28:52: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

07-May-2019 13:28:52: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

07-May-2019 13:28:52: removed 3 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

07-May-2019 13:28:52: documented flagged and missing values in columns Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and WS_ms_75cm_Max as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

07-May-2019 13:28:52: inserted 1 new record with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 13 
Description:

07-May-2019 13:28:52: sorted by column Date(ascending) ('sortdata')

Substep 14 
Description:

07-May-2019 13:28:53: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 15 
Description:

07-May-2019 13:28:54: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 16 
Description:

13-May-2019 21:18:11: Data approved from row 1 () to 26696 (26-Jun-2018 17:00:00)

Substep 17 
Description:

13-May-2019 21:18:28: Data approved from row 26696 (26-Jun-2018 17:00:00) to 34250 (07-May-2019 11:00:00)

Substep 18 
Description:

13-May-2019 21:20:06: new GCE Data Structure 1.1 created ('newstruct')

Substep 19 
Description:

13-May-2019 21:20:06: 34404 rows imported from ASCII data file 'npp_cr1000_c-grav_data_table_1_hour.dat' ('imp_ascii')

Substep 20 
Description:

13-May-2019 21:20:06: 4 metadata fields in file header parsed ('parse_header')

Substep 21 
Description:

13-May-2019 21:20:06: data descriptor metadata updated based on the template 'npp_CR1000_C-GRAV_Data_Table_1_Hour' ('meta_template')

Substep 22 
Description:

13-May-2019 21:20:06: data structure validated ('gce_valid')

Substep 23 
Description:

13-May-2019 21:20:06: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 24 
Description:

13-May-2019 21:20:10: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 25 
Description:

13-May-2019 21:20:10: converted dates in column(s) Date to format MATLAB serial date

Substep 26 
Description:

13-May-2019 21:20:10: sorted by column Date(ascending) ('sortdata')

Substep 27 
Description:

13-May-2019 21:20:10: removed 3 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 28 
Description:

13-May-2019 21:20:10: documented flagged and missing values in columns Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and WS_ms_75cm_Max as data set anomalies in the metadata ('add_anomalies')

Substep 29 
Description:

13-May-2019 21:20:11: inserted 1 new record with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 30 
Description:

13-May-2019 21:20:11: sorted by column Date(ascending) ('sortdata')

Substep 31 
Description:

13-May-2019 21:20:11: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 32 
Description:

13-May-2019 21:20:12: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 33 
Description:

13-May-2019 21:20:31: 152 new rows where added using levelTwo.m

Substep 34 
Description:

13-May-2019 21:20:47: Data approved from row 34250 (07-May-2019 11:00:00) to 34402 (13-May-2019 19:00:00)

Substep 35 
Description:

13-May-2019 21:49:46: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 36 
Description:

13-May-2019 21:49:46: deleted columns Flag_RECORD, Flag_Ptemp_C_Avg, Flag_Air_TempC_Avg, Flag_Air_TempC_Max, Flag_Air_TempC_Min, Flag_Relative_Humidity_Avg, Flag_Ppt_mm_Tot, Flag_Ws_Mean_300cm, Flag_Ws_mean_Resultant_300cm, Flag_WinDir_mean_Resultant, Flag_WinDir_Std_Dev, Flag_WS_ms_75cm_Avg, Flag_WS_ms_150cm_Avg, Flag_WS_ms_300cm_Avg, Flag_WS_ms_75cm_Max, Flag_WS_ms_150cm_Max and Flag_WS_ms_300cm_Max from the structure ('deletecols')

Substep 37 
Description:

13-May-2019 21:49:47: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 38 
Description:

13-May-2019 21:49:47: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 39 
Description:

13-May-2019 21:49:48: converted dates in column(s) Hours to format yyyy-mm-dd HH:MM:SS

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.


Table Structure
Object Name:knb-lter-jrn.210437032.1.csv
Size:6999828 byte
Character Encoding:ASCII
Text Format:
Number of Header Lines:5
Number of Foot Lines:0
Record Delimiter:\r\n
Line Number For One Record:1
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 
Column Name:Date  
Year  
YearDay  
Hours  
RECORD  
Flag_RECORD  
Sitename  
Ptemp_C_Avg  
Flag_Ptemp_C_Avg  
Air_TempC_Avg  
Flag_Air_TempC_Avg  
Air_TempC_Max  
Flag_Air_TempC_Max  
Air_TempC_Min  
Flag_Air_TempC_Min  
Relative_Humidity_Avg  
Flag_Relative_Humidity_Avg  
Ppt_mm_Tot  
Flag_Ppt_mm_Tot  
Ws_Mean_300cm  
Flag_Ws_Mean_300cm  
Ws_mean_Resultant_300cm  
Flag_Ws_mean_Resultant_300cm  
WinDir_mean_Resultant  
Flag_WinDir_mean_Resultant  
WinDir_Std_Dev  
Flag_WinDir_Std_Dev  
WS_ms_75cm_Avg  
Flag_WS_ms_75cm_Avg  
WS_ms_150cm_Avg  
Flag_WS_ms_150cm_Avg  
WS_ms_300cm_Avg  
Flag_WS_ms_300cm_Avg  
WS_ms_75cm_Max  
Flag_WS_ms_75cm_Max  
WS_ms_150cm_Max  
Flag_WS_ms_150cm_Max  
WS_ms_300cm_Max  
Flag_WS_ms_300cm_Max  
Definition:Date and time of observationCalendar yearNumerical year day (day number within the current year)Time of day in fractional hoursRecord number generated by datalogger programQA/QC flags for Record number generated by datalogger program (flagging criteria, where "x" is RECORD: x<0="I", manual)Site identifierDatalogger Panel Temperature: 1 hour AverageQA/QC flags for Datalogger Panel Temperature: 1 hour Average (flagging criteria, where "x" is Ptemp_C_Avg: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air Temperature: 1 hour AverageQA/QC flags for Air Temperature: 1 hour Average (flagging criteria, where "x" is Air_TempC_Avg: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I", manual)Air Temperature: 1 hour MaximumQA/QC flags for Air Temperature: 1 hour Maximum (flagging criteria, where "x" is Air_TempC_Max: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I", manual)Air Temperature: 1 hour MinimumQA/QC flags for Air Temperature: 1 hour Minimum (flagging criteria, where "x" is Air_TempC_Min: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I", manual)Relative Humidity: 1 hour AverageQA/QC flags for Relative Humidity: 1 hour Average (flagging criteria, where "x" is Relative_Humidity_Avg: x<0="I", (x>100 & x<=105)="Q", x>105="I", manual)Precipitation: 1 hour TotalQA/QC flags for Precipitation: 1 hour Total (flagging criteria, where "x" is Ppt_mm_Tot: x<0="I", (x>101.6 & x<=177.8)="Q", x>177.8="I", manual)Wind Speed: 1 hour Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Average at 300 cm height (flagging criteria, where "x" is Ws_Mean_300cm: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Resultant Vector Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Resultant Vector Average at 300 cm height (flagging criteria, where "x" is Ws_mean_Resultant_300cm: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Direction: 1 hour Resultant Vector Average at 300 cm heightQA/QC flags for Wind Direction: 1 hour Resultant Vector Average at 300 cm height (flagging criteria, where "x" is WinDir_mean_Resultant: x<0="I", x>360="I", manual)Wind Direction: 1 hour Standard Deviation at 300 cm heightQA/QC flags for Wind Direction: 1 hour Standard Deviation at 300 cm height (flagging criteria, where "x" is WinDir_Std_Dev: x<0="I", x>360="I", manual)Wind Speed: 1 hour Average at 75 cm heightQA/QC flags for Wind Speed: 1 hour Average at 75 cm height (flagging criteria, where "x" is WS_ms_75cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Average at 150 cm heightQA/QC flags for Wind Speed: 1 hour Average at 150 cm height (flagging criteria, where "x" is WS_ms_150cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Average at 300 cm heightQA/QC flags for Wind Speed: 1 hour Average at 300 cm height (flagging criteria, where "x" is WS_ms_300cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 75 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 75 cm height (flagging criteria, where "x" is WS_ms_75cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 150 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 150 cm height (flagging criteria, where "x" is WS_ms_150cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: 1 hour Maximum at 300 cm heightQA/QC flags for Wind Speed: 1 hour Maximum at 300 cm height (flagging criteria, where "x" is WS_ms_300cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)
Storage Type:string  
integer  
integer  
string  
integer  
string  
integer  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
integer  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
floating-point  
string  
Measurement Type:dateTimeintervalintervaldateTimeratioordinalordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinalratioordinal
Measurement Values Domain:
FormatDD-WWW-YYYY hh:mm:ss
Precision
UnitnominalYear
Precision1
Typereal
UnitnominalYear
Precision1
Typereal
Min
Max366 
FormatYYYY-MM-DD hh:mm:ss
Precision
Unitnone
Precision1
Typereal
Min
Max
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
DefinitionSite identifier
UnitdegreeCelcius
Precision0.01
Typereal
Min-35 
Max50 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Code Definition
CodeQ
Definitionquestionable value
Source
UnitdegreeCelcius
Precision0.01
Typereal
Min-35 
Max50 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitdegreeCelcius
Precision0.01
Typereal
Min-35 
Max50 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitdegreeCelcius
Precision0.01
Typereal
Min-35 
Max50 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Unitpercent
Precision0.01
Typereal
Min
Max105 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Unitmillimeter
Precision0.1
Typereal
Min
Max177.8 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Unitdegrees
Precision1
Typereal
Min
Max360 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Unitdegrees
Precision0.001
Typereal
Min
Max360 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
UnitmetersPerSecond
Precision0.001
Typereal
Min
Max55 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeM
Definitionunspecified
Source
Missing Value Code:  
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
   
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
CodeNaN
Explvalue not recorded or censored based on quality control analysis (see methods)
 
Accuracy Report:                                                                              
Accuracy Assessment:                                                                              
Coverage:                                                                              
Methods:                                                                              

Data Package Usage Rights

Following academic courtesy standards, the Jornada LTER site should be fully acknowledged in any subsequent publications in which any part of this dataset is used.

Keywords

By Thesaurus:
(No thesaurus)air temperature, c-cali, climate, meteorology, npp site, relative humidity, study 437, wind

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Summary: A met station consisting of a 3-meter mast is installed in the 5-meter buffer zone on one side of the 70-meter x 70-meter NPP site in association with a pair of neutron probe access tubes. Air temperature, relative humidity, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured at most sites with anemometers at 0.75m, 1.5m and 3m on the mast. A single anemometer is installed at 3m height at P-COLL and P-SMAL NPP sites due to flooding potential at lower heights. Upward and downward facing pyranometers are installed at 5 sites, 1 for each of the major vegetation zones.

Instrument(s):Temperature Probe; Manufacturer: Campbell Scientific Instruments, Model: CS215; Parameter: Air Temperature Accuracy: +/-0.3°C at 25°C, +/-0.4° (5°C to 40°C), +/-0.9°C (-40°C to 70°C), Range: -40°C to 70°C); Relative Humidity Sensor; Manufacturer: Campbell Scientific Instruments (capacitive relative humidity sensor, Model: CS215/18144); Parameter: Relative Humidity (Accuracy: 2% at 10-90% RH, 4% @ 0-100%; Range: 0% to 100% at -20°C to 60°C); Anemometer; Manufacturer: NRG, Inc (Model: 40C); Parameter: Wind Speed (Range: 0.5 to 50 m/s); Wind Vane; Manufacturer: NRG, Inc (Model: 200P); Parameter: Wind Direction (Range: 360 degrees (1 m/s threshold), Dead band: 8° max, 4° typical)
Description:

Method - Sensor readings are taken at 1 second intervals by a Campbell Scientific Instruments (CSI) CR1000 data logger and converted from analog voltage to calibrated digital data, if necessary, by the CR1000 data logger program (e.g., C-Cali_CR1000_20150925.cr1). Minimum, average, and maximum air temperature and relative humidity; average and maximum wind speed; average and standard deviation of wind direction are calculated by the CR1000 datalogger program and stored in tables in the datalogger storage module at intervals of 5, 30, and 60 minutes and daily. These are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network using CSI LoggerNet software. The data are parsed, quality-checked, documented and archived in the JRN-LTER Information Management office using data retrieval and parsing functions in the GCE Data Toolbox for MATLAB (https://gce-lter.marsci.uga.edu/lter/research/tools/data_toolbox.htm).

Sampling Area and Study Extent
Sampling Description:

Sensor readings are taken at 1 second intervals and aggregated into 5, 30, and 60 minute, and daily data tables.

Sampling Extent:

Time Period
Begin:
2013-08-01
End:
2019-05-13
Sampling Extent:
Sampling Site: 
Description:lter-jrn-met-cg -- NPP C-GRAV site
Site Coordinates:
Longitude (degree): -106.740056Latitude (degree): 32.617417

These methods, instrumentation, and/or protocols apply to the data table data:

Methods and protocols used in the collection of this data package
Description:

Data processing using the GCE Data Toolbox for MATLAB

Software:
Title:GCE Data Toolbox for MATLAB

Author(s):

Organization:Georgia Coastal Ecosystems LTER
Email Address:
gcelter@uga.edu
Abstract:

The GCE Data Toolbox is a comprehensive library of functions for metadata-based analysis quality control, transformation and management of ecological data sets. The toolbox is based on the GCE Data Structure, a MATLAB specification for storing tabular data along with all information required to interpret the data and generate formatted metadata (documentation). Metadata fields in the structure are queried by toolbox functions for all operations, allowing functions to process and format values appropriately based on the type of information they represent. This semantic processing approach supports highly automated and intelligent data analysis and ensures data set validity throughout all processing steps.

Implementation Info:
Distribution:
Url:https://gce-svn.marsci.uga.edu/trac/GCE_Toolbox
Version Number:Toolbox Version 3.9.9b (06-Mar-2019)
Substep 1 
Description:

07-May-2019 13:28:48: new GCE Data Structure 1.1 created ('newstruct')

Substep 2 
Description:

07-May-2019 13:28:48: 34252 rows imported from ASCII data file 'npp_cr1000_c-grav_data_table_1_hour.dat' ('imp_ascii')

Substep 3 
Description:

07-May-2019 13:28:48: 4 metadata fields in file header parsed ('parse_header')

Substep 4 
Description:

07-May-2019 13:28:48: data descriptor metadata updated based on the template 'npp_CR1000_C-GRAV_Data_Table_1_Hour' ('meta_template')

Substep 5 
Description:

07-May-2019 13:28:48: data structure validated ('gce_valid')

Substep 6 
Description:

07-May-2019 13:28:48: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 7 
Description:

07-May-2019 13:28:52: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 8 
Description:

07-May-2019 13:28:52: converted dates in column(s) Date to format MATLAB serial date

Substep 9 
Description:

07-May-2019 13:28:52: sorted by column Date(ascending) ('sortdata')

Substep 10 
Description:

07-May-2019 13:28:52: removed 3 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 11 
Description:

07-May-2019 13:28:52: documented flagged and missing values in columns Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and WS_ms_75cm_Max as data set anomalies in the metadata ('add_anomalies')

Substep 12 
Description:

07-May-2019 13:28:52: inserted 1 new record with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 13 
Description:

07-May-2019 13:28:52: sorted by column Date(ascending) ('sortdata')

Substep 14 
Description:

07-May-2019 13:28:53: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 15 
Description:

07-May-2019 13:28:54: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 16 
Description:

13-May-2019 21:18:11: Data approved from row 1 () to 26696 (26-Jun-2018 17:00:00)

Substep 17 
Description:

13-May-2019 21:18:28: Data approved from row 26696 (26-Jun-2018 17:00:00) to 34250 (07-May-2019 11:00:00)

Substep 18 
Description:

13-May-2019 21:20:06: new GCE Data Structure 1.1 created ('newstruct')

Substep 19 
Description:

13-May-2019 21:20:06: 34404 rows imported from ASCII data file 'npp_cr1000_c-grav_data_table_1_hour.dat' ('imp_ascii')

Substep 20 
Description:

13-May-2019 21:20:06: 4 metadata fields in file header parsed ('parse_header')

Substep 21 
Description:

13-May-2019 21:20:06: data descriptor metadata updated based on the template 'npp_CR1000_C-GRAV_Data_Table_1_Hour' ('meta_template')

Substep 22 
Description:

13-May-2019 21:20:06: data structure validated ('gce_valid')

Substep 23 
Description:

13-May-2019 21:20:06: Q/C flagging criteria applied, 'flags' field updated ('dataflag')

Substep 24 
Description:

13-May-2019 21:20:10: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 25 
Description:

13-May-2019 21:20:10: converted dates in column(s) Date to format MATLAB serial date

Substep 26 
Description:

13-May-2019 21:20:10: sorted by column Date(ascending) ('sortdata')

Substep 27 
Description:

13-May-2019 21:20:10: removed 3 row(s) with duplicate values in the column(s) Date ('cleardupes')

Substep 28 
Description:

13-May-2019 21:20:10: documented flagged and missing values in columns Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min and WS_ms_75cm_Max as data set anomalies in the metadata ('add_anomalies')

Substep 29 
Description:

13-May-2019 21:20:11: inserted 1 new record with date/time values and NaN/null data values (replicating common values in the non-data columns Sitename) to fill in date/time interval gaps in the data series and assigned flag 'M' to inserted records ('pad_date_gaps')

Substep 30 
Description:

13-May-2019 21:20:11: sorted by column Date(ascending) ('sortdata')

Substep 31 
Description:

13-May-2019 21:20:11: added calculated Year, YearDay and Hours columns based on date/time information in the data structure ('add_year_yearday_hours')

Substep 32 
Description:

13-May-2019 21:20:12: converted dates in column(s) Date to format dd-mmm-yyyy HH:MM:SS

Substep 33 
Description:

13-May-2019 21:20:31: 152 new rows where added using levelTwo.m

Substep 34 
Description:

13-May-2019 21:20:47: Data approved from row 34250 (07-May-2019 11:00:00) to 34402 (13-May-2019 19:00:00)

Substep 35 
Description:

13-May-2019 21:49:46: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 36 
Description:

13-May-2019 21:49:46: deleted columns Flag_RECORD, Flag_Ptemp_C_Avg, Flag_Air_TempC_Avg, Flag_Air_TempC_Max, Flag_Air_TempC_Min, Flag_Relative_Humidity_Avg, Flag_Ppt_mm_Tot, Flag_Ws_Mean_300cm, Flag_Ws_mean_Resultant_300cm, Flag_WinDir_mean_Resultant, Flag_WinDir_Std_Dev, Flag_WS_ms_75cm_Avg, Flag_WS_ms_150cm_Avg, Flag_WS_ms_300cm_Avg, Flag_WS_ms_75cm_Max, Flag_WS_ms_150cm_Max and Flag_WS_ms_300cm_Max from the structure ('deletecols')

Substep 37 
Description:

13-May-2019 21:49:47: flags for columns RECORD, Ptemp_C_Avg, Air_TempC_Avg, Air_TempC_Max, Air_TempC_Min, Relative_Humidity_Avg, Ppt_mm_Tot, Ws_Mean_300cm, Ws_mean_Resultant_300cm, WinDir_mean_Resultant, WinDir_Std_Dev, WS_ms_75cm_Avg, WS_ms_150cm_Avg, WS_ms_300cm_Avg, WS_ms_75cm_Max, WS_ms_150cm_Max and WS_ms_300cm_Max converted to data columns, flag codes updated in metadata ('flags2cols')

Substep 38 
Description:

13-May-2019 21:49:47: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates)

Substep 39 
Description:

13-May-2019 21:49:48: converted dates in column(s) Hours to format yyyy-mm-dd HH:MM:SS

Quality Control
Quality Control Step 1: 
Description:

Quality control analysis was performed using the GCE Data Toolbox for MATLAB software. Column data types are validated upon importing the table into MATLAB, and qualifier flags are automatically generated for data values based on QA/QC criteria for each data column pre-defined in metadata templates (e.g. value range checks, sanity checks, pattern checks). Automatically-assigned qualifier flags are reviewed graphically and revised or augmented as deemed appropriate by GCE information management staff, based on metadata information from the contributor, values of other measured variables, or statistical tests. Qualifier flags are also assigned to values that are imputed or derived, revised, or otherwise differ from values in the original data submission. A column of coded qualifier flags is generated and included in the data table if flags are assigned to any value in a data column.

People and Organizations

Publishers:
Organization:Jornada LTER NPP site instrumentation on a wireless network (Study 437)
Creators:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Contacts:
Individual: Data Manager
Position:JRN-LTER Information Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, New Mexico State University, Las Cruces, NM,
88003-8003
Email Address:
dataManager@jornada-vmail.nmsu.edu

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2013-08-01
End:
2019-05-13
Sampling Site: 
Description:Overall bounding box describing the study region
Site Coordinates:
Longitude (degree): -106.740056Latitude (degree): 32.617417

Project

Parent Project Information:

Title:Jornada LTER NPP site instrumentation on a wireless network (Study 437)
Personnel:
Individual: John Anderson
Organization:JRN LTER
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@jornada-vmail.nmsu.edu
Role:project leader
Abstract:

Collection of baseline climate data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program. Measurements are aggregated at intervals of 5, 30, and 60 minutes and daily with precipitation additionally with 1 second aggregation during precipitation events. Data are downloaded hourly from each remote site via a 900 MHz spread spectrum wireless radio network. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Solar and barometric pressure are measured at a subset of sites.

Funding:

Funded by Jornada LTER program

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unitList')
        |     |     |  \___attribute 'schemaLocation' in ns 'http://www.w3.org/2001/XMLSchema-instance' ('xsi:schemaLocation') = 'http://www.xml-cml.org/schema/stmml-1.1 http://gce-lter.marsci.uga.edu/public/files/schemas/eml-210/stmml.xsd'
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'degreeCelcius'
        |     |     |     |  \___attribute 'name' = 'degreeCelcius'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'user defined unit degreeCelcius'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'º'
        |     |     |     |  \___attribute 'id' = 'degrees'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0174532924'
        |     |     |     |  \___attribute 'name' = 'degrees'
        |     |     |     |  \___attribute 'parentSI' = 'radian'
        |     |     |     |  \___attribute 'unitType' = 'angle'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text '360 degrees comprise a unit circle.'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'none'
        |     |     |     |  \___attribute 'name' = 'none'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'user defined unit none'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = '%'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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