These methods, instrumentation and/or protocols apply to all data in this dataset:Methods and protocols used in the collection of this data package |
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Description: |
Summary: A met station consisting of a 10-meter mast is installed on the northwest corner of NEAT Block-3. Air temperature, wind direction, wind speed, and solar sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m.
| Instrument(s): | Rain Gauge; Manufacturer: Hydrological Services. (Model: TB3 Tipping Bucket Rain Gauge); Parameter: Precipitation (Accuracy: +/- 2% 0-250 mm/hr +/- 3% 250-500 mm/hr) |
| 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 air temperature, wind speed and wind direction, 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 minutes. 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).
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| Sampling Area and Study Extent |
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Sampling Description: |
Sensor readings are taken at 1 second intervals and aggregated into 5, 30, and 60 minute, and daily data tables.
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Sampling Extent: | Geographic Region: |
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Description: | Precise geographic coordinates of the meteorological station are available upon request; please contact the Data Manager. | | Bounding Coordinates: | Northern: | 32.575000 | Southern: | 32.542000 | Western: | -106.793000 | Eastern: | -106.740000 |
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These methods, instrumentation, and/or protocols apply to the data table neat-3_ppttb3_detailed_L2_rev_2.csv:Methods and protocols used in the collection of this data package |
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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: | |
| 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) |
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| Quality Control |
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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.
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