Data Package Metadata   View Summary

Jornada Basin LTER: Wireless meteorological station at Geomet site: Daily summary wind and air temperature data: 2013 - ongoing

General Information
Data Package:
Local Identifier:knb-lter-jrn.210259002.2
Title:Jornada Basin LTER: Wireless meteorological station at Geomet site: Daily summary wind and air temperature data: 2013 - ongoing
Alternate Identifier:DOI PLACE HOLDER
Abstract:

Daily summary data at Geomet Wind Tower. Average, maximum, and minimum air temperature; maximum and average wind speed; average wind direction. All measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER Geomet site. Wind speed is measured at 1.25 m, 2.5 m, and 10 m, wind direction at 8.85 m, and air temperature at 2.05m and 9.35m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Publication Date:2024-12-21
For more information:
Visit: DOI PLACE HOLDER

Time Period
Begin:
2013-05-14
End:
2024-12-19

People and Organizations
Contact:Data Manager(JRN-LTER Information Manager) [  email ]
Creator:Okin, Greg (UCLA, Principal Investigator)
Creator:Anderson, John (NMSU, Research Site Manager)

Data Entities
Data Table Name:
geomet_daily_L2_rev_2.csv
Description:
Main data table from Jornada Basin LTER: Wireless meteorological station at Geomet site: Daily summary wind and air temperature data: 2013 - ongoing
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-jrn/210259002/2/f36a2613708adec57dd8a32eb376ce49
Name:geomet_daily_L2_rev_2.csv
Description:Main data table from Jornada Basin LTER: Wireless meteorological station at Geomet site: Daily summary wind and air temperature data: 2013 - ongoing
Number of Records:4238
Number of Columns:60
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)
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 JRN 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:geomet_daily_L2_rev_2.csv
Size:1384378 byte
Authentication:2dca301af04e6b071e2cd7fc4b3e3bb7 Calculated By MD5
Character Encoding:ASCII
Text Format:
Number of Header Lines:4
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  
batt_V_Min  
Flag_batt_V_Min  
batt_volt_TMn  
Ptemp_C_Avg  
Flag_Ptemp_C_Avg  
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_125cm_Avg  
Flag_WS_ms_125cm_Avg  
WS_ms_250cm_Avg  
Flag_WS_ms_250cm_Avg  
WS_ms_500cm_Avg  
Flag_WS_ms_500cm_Avg  
WS_ms_1000cm_Avg  
Flag_WS_ms_1000cm_Avg  
WS_ms_125cm_Max  
Flag_WS_ms_125cm_Max  
WS_ms_250cm_Max  
Flag_WS_ms_250cm_Max  
WS_ms_500cm_Max  
Flag_WS_ms_500cm_Max  
WS_ms_1000cm_Max  
Flag_WS_ms_1000cm_Max  
WS_ms_125cm_Min  
Flag_WS_ms_125cm_Min  
WS_ms_250cm_Min  
Flag_WS_ms_250cm_Min  
WS_ms_500cm_Min  
Flag_WS_ms_500cm_Min  
WS_ms_1000cm_Min  
Flag_WS_ms_1000cm_Min  
AirTemp1_Avg  
Flag_AirTemp1_Avg  
AirTemp1_Max  
Flag_AirTemp1_Max  
AirTemp1_TMx  
AirTemp1_Min  
Flag_AirTemp1_Min  
AirTemp1_TMn  
AirTemp2_Avg  
Flag_AirTemp2_Avg  
AirTemp2_Max  
Flag_AirTemp2_Max  
AirTemp2_TMx  
AirTemp2_Min  
Flag_AirTemp2_Min  
AirTemp2_TMn  
Definition:Date and time of observation. Time is in Mountain Standard Time (MST) or UTC/GMT -7Calendar 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 identifierBattery Voltage: Daily MinimumQA/QC flags for Battery Voltage: Daily Minimum (flagging criteria, where "x" is batt_V_Min: x<12="W", x>=16="W")Battery Voltage: Time of Daily MinimumDatalogger Panel Temperature: Daily AverageQA/QC flags for Datalogger Panel Temperature: Daily Average (flagging criteria, where "x" is Ptemp_C_Avg: x<-35="I")Wind Speed: Daily Average at 300 cm heightQA/QC flags for Wind Speed: Daily 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: Daily Average at 300 cm heightQA/QC flags for Wind Speed: Daily 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")Wind Direction: Daily Resultant Vector AverageQA/QC flags for Wind Direction: Daily Resultant Vector Average (flagging criteria, where "x" is WinDir_mean_Resultant: x<0="I", x>360="I", manual)Wind Direction: Daily Standard DeviationQA/QC flags for Wind Direction: Daily Standard Deviation (flagging criteria, where "x" is WinDir_Std_Dev: x<0="I", x>360="I", manual)Wind Speed: Daily average at 125 cm heightQA/QC flags for Wind Speed: Daily average at 125 cm height (flagging criteria, where "x" is WS_ms_125cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily average at 250 cm heightQA/QC flags for Wind Speed: Daily average at 250 cm height (flagging criteria, where "x" is WS_ms_250cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily average at 500 cm heightQA/QC flags for Wind Speed: Daily average at 500 cm height (flagging criteria, where "x" is WS_ms_500cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily average at 1000 cm heightQA/QC flags for Wind Speed: Daily average at 1000 cm height (flagging criteria, where "x" is WS_ms_1000cm_Avg: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily maximum at 125 cm heightQA/QC flags for Wind Speed: Daily maximum at 125 cm height (flagging criteria, where "x" is WS_ms_125cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I")Wind Speed: Daily maximum at 250 cm heightQA/QC flags for Wind Speed: Daily maximum at 250 cm height (flagging criteria, where "x" is WS_ms_250cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily maximum at 500 cm heightQA/QC flags for Wind Speed: Daily maximum at 500 cm height (flagging criteria, where "x" is WS_ms_500cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily maximum at 1000 cm heightQA/QC flags for Wind Speed: Daily maximum at 1000 cm height (flagging criteria, where "x" is WS_ms_1000cm_Max: x<0="I", (x>32 & x<=55)="Q", x>55="I")Wind Speed: Daily minimum at 125 cm heightQA/QC flags for Wind Speed: Daily minimum at 125 cm height (flagging criteria, where "x" is WS_ms_125cm_Min: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily minimum at 250 cm heightQA/QC flags for Wind Speed: Daily minimum at 250 cm height (flagging criteria, where "x" is WS_ms_250cm_Min: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily minimum at 500 cm heightQA/QC flags for Wind Speed: Daily minimum at 500 cm height (flagging criteria, where "x" is WS_ms_500cm_Min: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Wind Speed: Daily minimum at 1000 cm heightQA/QC flags for Wind Speed: Daily minimum at 1000 cm height (flagging criteria, where "x" is WS_ms_1000cm_Min: x<0="I", (x>32 & x<=55)="Q", x>55="I", manual)Air temperature at lower level: Daily AverageQA/QC flags for Air temperature at lower level: Daily Average (flagging criteria, where "x" is AirTemp1_Avg: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at lower level: Daily MaximumQA/QC flags for Air temperature at lower level: Daily Maximum (flagging criteria, where "x" is AirTemp1_Max: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at lower level: Time of Daily maximumAir temperature at lower level: Daily MinimumQA/QC flags for Air temperature at lower level: Daily Minimum (flagging criteria, where "x" is AirTemp1_Min: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at lower level: Time of Daily minimumAir temperature at upper level: Daily AverageQA/QC flags for Air temperature at upper level: Daily Average (flagging criteria, where "x" is AirTemp2_Avg: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at upper level: Daily MaximumQA/QC flags for Air temperature at upper level: Daily Maximum (flagging criteria, where "x" is AirTemp2_Max: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at upper level: Time of Daily maximumAir temperature at upper level: Daily MinimumQA/QC flags for Air temperature at upper level: Daily Minimum (flagging criteria, where "x" is AirTemp2_Min: x<-35="I", (x>=-35 & x<-30 | x>45 & x<=50)="Q", x>50="I")Air temperature at upper level: Time of Daily minimum
Storage Type:string  
integer  
integer  
float  
integer  
string  
integer  
floating-point  
string  
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floating-point  
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integer  
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string  
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floating-point  
string  
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floating-point  
string  
floating-point  
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floating-point  
string  
string  
Measurement Type:dateTimeintervalintervalintervalrationominalordinalrationominaldateTimerationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominalrationominaldateTimerationominaldateTimerationominalrationominaldateTimerationominaldateTime
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Precision
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Precision1
Typereal
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Precision1
Typereal
Min
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Precision0.0001
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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)
 
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

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required 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. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabularyair temperature, meteorology, wind direction, wind speed
JRN Dataset KeywordsClimate, Soils, and Atmosphere, core, long-term
Jornada Project NamesNPP, study 259
Jornada Place NamesGeomet
LTER Core AreaDisturbance

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 10-meter mast is installed at the Geomet site. Air temperature, wind direction, and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 1.25 m, 2.5 m, and 10 m, wind direction at 8.85 m, and air temperature at 2.05m and 9.35m.

Instrument(s):Temperature Probe; Manufacturer: Campbell Scientific Instruments, Model: CS215; Parameter: Air Temperature Accuracy: +/-0.3 degrees C at 25 degrees C, +/-0.4 degrees (5 degrees C to 40 degrees C), +/-0.9 degrees C (-40 degrees C to 70 degrees C), Range: -40 degrees C to 70 degrees 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 degrees max, 4 degrees 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. Average, maximum, and minimum air temperature, wind speed and wind direction, and standard deviation of wind direction are calculated by the CR1000 datalogger program and stored daily in tables in the datalogger storage module. Data 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 a daily data table.

Sampling Extent:

Time Period
Begin:
2013-05-14
End:
2024-12-19
Sampling Extent:
Geographic Region:
Description:Geomet site. Precise geographic coordinates of the meteorological station are available upon request; please contact the Data Manager.
Bounding Coordinates:
Northern:  32.589000Southern:  32.562000
Western:  -106.781000Eastern:  -106.749000

These methods, instrumentation, and/or protocols apply to the data table geomet_daily_L2_rev_2.csv:

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)
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 JRN 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:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Individual: Greg Okin
Organization:UCLA
Position:Principal Investigator
Address:
1255 Bunche Hall, Dept of Geography, UCLA,
Los Angeles, CA 90095
Individual: John Anderson
Organization:NMSU
Position:Research Site Manager
Address:
Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU,
Las Cruces, NM 88003-8003
Email Address:
janderso@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:
jornada.data@nmsu.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period
Begin:
2013-05-14
End:
2024-12-19
Geographic Region:
Description:Geomet site. Precise geographic coordinates of the meteorological station are available upon request; please contact the Data Manager.
Bounding Coordinates:
Northern:  32.589000Southern:  32.562000
Western:  -106.781000Eastern:  -106.749000

Project

Parent Project Information:

Title:Jornada Basin LTER: Wireless network of 4 towers for wind measurements in support of integrated study experiment (Study 259)
Personnel:
Individual: Niall Hanan
Organization:NMSU
Position:Principal Investigator
Address:
P.O. Box 30003, MSC 3JER, New Mexico State University,
Las Cruces, NM 88003
Email Address:
nhanan@nmsu.edu
Role:project leader
Abstract:

Collection of vertical wind profile data at four Jornada LTER wind tower 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 the exception of Geomet Tower data that is aggregated at intervals of 5 minutes and daily. 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, wind direction, and wind speed.

Funding:

Funded by Jornada LTER program under NSF grant DEB-2025166

Maintenance

Maintenance:
Description:ongoing
Frequency:
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         '
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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