Georgia Coastal Ecosystems LTER Data Set Details

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GCE-LTER Data Set Summary

Accession:

PHY-GCEM-1907e

Research Theme:

Physical Oceanography (Monitoring)

Contributors:

Daniela Di Iorio, Jacob Shalack, Wade Sheldon, Adam Sapp, Dontrece Smith, Alyssa Peterson, Brendan Manley

Title:

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2018 through 31-Dec-2018

Abstract:

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2018 through 31-Dec-2018. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program.

DOI:

10.6073/pasta/ce89b79b6809a0e82e741bf15e0030c6

Key Words:

conductivity, daily, density, depth, GCE7, Hydrographic Moorings, hydrography, inorganic nutrients, monitoring, mooring, pressure, salinity, sonde, temperature, water column, water quality

LTER Core Area:

Inorganic Matter

Research Themes:

GCE2 Q2 - Domain Patterns, GCE3 Area2 - Patterns within the Domain, Physical Oceanography

Study Period:

01-Jan-2018 to 31-Dec-2018

Study Sites:

GCE-AL -- Altamaha River, Georgia, USA

» Download Geographic Coverage: Google Earth

Project References:

GCE Hydrographic Monitoring, Salinity variations across the GCE domain

Downloads:

Data Table: PHY-GCEM-1907e (Main data table for data set PHY-GCEM-1907e containing 30 minute observation data, 17520 records)

Access: Public (released 01-Jul-2020)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [2342.23kb], Text File [2116.36kb], MATLAB (GCE Toolbox) [641.95kb], MATLAB (Variables) [631.59kb], Text Report [2252.70kb]

Column List:(display)

Column	Name	Units	Type	Description
1	Site	none	integer	Nearest nominal GCE-LTER sampling site
2	Station	none	string	Station determined by geographic database lookup of coordinates in columns Latitude and Longitude using a distance tolerance of 0.5km from registered station location
3	Longitude	degrees	floating-point	Geographic longitude in decimal degrees
4	Latitude	degrees	floating-point	Geographic latitude in decimal degrees
5	Instrument	none	integer	Serial number of the SBE 37-SM MicroCAT instrument used for the observations
6	Pump	none	integer	Boolean value indicating whether conductivity was measured using a pumped cell (1=true/0=false)
7	Date	yyyy-mm-dd HH:MM:SS - GMT	string	Fractional MATLAB serial day (based on 1 = January 1, 0000)
8	Year	YYYY	integer	Calendar year
9	Month	MM	integer	Calendar month
10	Day	DD	integer	Calendar day
11	Hour	hr	integer	Hours - GMT
12	Minute	min	integer	Minutes
13	Temperature	°C	floating-point	Water temperature
14	Flag_Temperature	none	string	QA/QC flags for Water temperature (flagging criteria, where "x" is Temperature: x<0="Q", x>35="Q", Depth<=0="I", Depth<0.15="Q", flag_valuechange(x, 2, 2, 1, 3)="Q", manual)
15	Conductivity	S/m	floating-point	Conductivity
16	Flag_Conductivity	none	string	QA/QC flags for Conductivity (flagging criteria, where "x" is Conductivity: x<0="I", Depth<=0="I", Depth<0.15="Q", flag_valuechange(x, 0.75, 0.75, 1, 3)="Q", manual)
17	Pressure	dbar	floating-point	Water pressure at sensor (approximately equivalent to water depth within 3% error)
18	Flag_Pressure	none	string	QA/QC flags for Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Pressure: x<0="I", x<0.05="X", x>10="Q", manual)
19	Depth	m	floating-point	Water depth to the pressure sensor of the moored sonde
20	Flag_Depth	none	string	QA/QC flags for Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Depth: x<0="I", x<0.05="X", x>10="Q", manual)
21	Salinity	PSU	floating-point	Salinity
22	Flag_Salinity	none	string	QA/QC flags for Salinity (flagging criteria, where "x" is Salinity: x<0="I", Depth<=0="I", x>38="Q", Depth<0.15="Q", flag_valuechange(x, 6, 6, 1, 3)="Q", manual)
23	Sigma_t	kg/m^3	floating-point	Sigma-t (i.e. Density-1)
24	Flag_Sigma_t	none	string	QA/QC flags for Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Sigma_t: Depth<=0="I", Depth<0.15="Q", flag_valuechange(x, 5, 5, 1, 3)="Q", x<-5="Q", x>28="Q", manual)
25	Calibration	none	integer	Boolean value indicating whether data represents a calibration check (0 = false, 1 = true)

Data Table: PHY-GCEM-1907e_Daily (Derived data table for data set PHY-GCEM-1907e containing daily-aggregated statistical summary data, 365 records)

Access: Public (released 01-Jul-2020)

Metadata: Text (ESA FLED), XML (Ecological Metadata Language)

Data Formats: Spreadsheet (CSV) [138.25kb], Text File [135.56kb], MATLAB (GCE Toolbox) [112.46kb], MATLAB (Variables) [121.11kb], Text Report [194.79kb]

Column List:(display)

Column	Name	Units	Type	Description
1	Site	none	integer	Nearest nominal GCE-LTER sampling site
2	Station	none	string	Station determined by geographic database lookup of coordinates in columns Latitude and Longitude using a distance tolerance of 0.5km from registered station location
3	Longitude	degrees	floating-point	Geographic longitude in decimal degrees
4	Latitude	degrees	floating-point	Geographic latitude in decimal degrees
5	Date	yyyy-mm-dd HH:MM:SS	string	Fractional MATLAB serial day (based on 1 = January 1, 0000)
6	Year	YYYY	integer	Calendar year
7	Month	MM	integer	Calendar month
8	Day	DD	integer	Calendar day
9	Missing_Temperature	count	integer	Number of missing observations of Water temperature
10	Percent_Missing_Temperature	%	floating-point	Percent missing observations of Water temperature
11	Flagged_Temperature	count	integer	Number of QC/QA-flagged observations of Water temperature
12	Percent_Flagged_Temperature	%	floating-point	Percent QC/QA-flagged observations of Water temperature
13	Daily_Num_Temperature	count	integer	Daily Observations of Water temperature
14	Daily_Min_Temperature	°C	floating-point	Daily Minimum Water temperature
15	Daily_Max_Temperature	°C	floating-point	Daily Maximum Water temperature
16	Daily_Mean_Temperature	°C	floating-point	Daily Mean Water temperature
17	Daily_StdDev_Temperature	°C	floating-point	Daily Sample Standard Deviation of Water temperature
18	Daily_SE_Temperature	°C	floating-point	Daily Standard Error of Water temperature
19	Missing_Conductivity	count	integer	Number of missing observations of Conductivity
20	Percent_Missing_Conductivity	%	floating-point	Percent missing observations of Conductivity
21	Flagged_Conductivity	count	integer	Number of QC/QA-flagged observations of Conductivity
22	Percent_Flagged_Conductivity	%	floating-point	Percent QC/QA-flagged observations of Conductivity
23	Daily_Num_Conductivity	count	integer	Daily Observations of Conductivity
24	Daily_Min_Conductivity	S/m	floating-point	Daily Minimum Conductivity
25	Daily_Max_Conductivity	S/m	floating-point	Daily Maximum Conductivity
26	Daily_Mean_Conductivity	S/m	floating-point	Daily Mean Conductivity
27	Daily_StdDev_Conductivity	S/m	floating-point	Daily Sample Standard Deviation of Conductivity
28	Daily_SE_Conductivity	S/m	floating-point	Daily Standard Error of Conductivity
29	Missing_Pressure	count	integer	Number of missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error)
30	Percent_Missing_Pressure	%	floating-point	Percent missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error)
31	Flagged_Pressure	count	integer	Number of QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error)
32	Percent_Flagged_Pressure	%	floating-point	Percent QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error)
33	Daily_Num_Pressure	count	integer	Daily Observations of Water pressure at sensor (approximately equivalent to water depth within 3% error)
34	Daily_Min_Pressure	dbar	floating-point	Daily Minimum Water pressure at sensor (approximately equivalent to water depth within 3% error)
35	Daily_Max_Pressure	dbar	floating-point	Daily Maximum Water pressure at sensor (approximately equivalent to water depth within 3% error)
36	Daily_Mean_Pressure	dbar	floating-point	Daily Mean Water pressure at sensor (approximately equivalent to water depth within 3% error)
37	Daily_StdDev_Pressure	dbar	floating-point	Daily Sample Standard Deviation of Water pressure at sensor (approximately equivalent to water depth within 3% error)
38	Daily_SE_Pressure	dbar	floating-point	Daily Standard Error of Water pressure at sensor (approximately equivalent to water depth within 3% error)
39	Missing_Depth	count	integer	Number of missing observations of Water depth to the pressure sensor of the moored sonde
40	Percent_Missing_Depth	%	floating-point	Percent missing observations of Water depth to the pressure sensor of the moored sonde
41	Flagged_Depth	count	integer	Number of QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde
42	Percent_Flagged_Depth	%	floating-point	Percent QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde
43	Daily_Num_Depth	count	integer	Daily Observations of Water depth to the pressure sensor of the moored sonde
44	Daily_Min_Depth	m	floating-point	Daily Minimum Water depth to the pressure sensor of the moored sonde
45	Daily_Max_Depth	m	floating-point	Daily Maximum Water depth to the pressure sensor of the moored sonde
46	Daily_Mean_Depth	m	floating-point	Daily Mean Water depth to the pressure sensor of the moored sonde
47	Daily_StdDev_Depth	m	floating-point	Daily Sample Standard Deviation of Water depth to the pressure sensor of the moored sonde
48	Daily_SE_Depth	m	floating-point	Daily Standard Error of Water depth to the pressure sensor of the moored sonde
49	Missing_Salinity	count	integer	Number of missing observations of Salinity
50	Percent_Missing_Salinity	%	floating-point	Percent missing observations of Salinity
51	Flagged_Salinity	count	integer	Number of QC/QA-flagged observations of Salinity
52	Percent_Flagged_Salinity	%	floating-point	Percent QC/QA-flagged observations of Salinity
53	Daily_Num_Salinity	count	integer	Daily Observations of Salinity
54	Daily_Min_Salinity	PSU	floating-point	Daily Minimum Salinity
55	Daily_Max_Salinity	PSU	floating-point	Daily Maximum Salinity
56	Daily_Mean_Salinity	PSU	floating-point	Daily Mean Salinity
57	Daily_StdDev_Salinity	PSU	floating-point	Daily Sample Standard Deviation of Salinity
58	Daily_SE_Salinity	PSU	floating-point	Daily Standard Error of Salinity
59	Missing_Sigma_t	count	integer	Number of missing observations of Sigma-t (i.e. Density-1)
60	Percent_Missing_Sigma_t	%	floating-point	Percent missing observations of Sigma-t (i.e. Density-1)
61	Flagged_Sigma_t	count	integer	Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1)
62	Percent_Flagged_Sigma_t	%	floating-point	Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1)
63	Daily_Num_Sigma_t	count	integer	Daily Observations of Sigma-t (i.e. Density-1)
64	Daily_Min_Sigma_t	kg/m^3	floating-point	Daily Minimum Sigma-t (i.e. Density-1)
65	Daily_Max_Sigma_t	kg/m^3	floating-point	Daily Maximum Sigma-t (i.e. Density-1)
66	Daily_Mean_Sigma_t	kg/m^3	floating-point	Daily Mean Sigma-t (i.e. Density-1)
67	Daily_StdDev_Sigma_t	kg/m^3	floating-point	Daily Sample Standard Deviation of Sigma-t (i.e. Density-1)
68	Daily_SE_Sigma_t	kg/m^3	floating-point	Daily Standard Error of Sigma-t (i.e. Density-1)

Statistics:

Generate script code to retrieve data tables for analysis in: MATLAB, R, SAS, SPSS

Citation:

Di Iorio, Daniela. 2019. Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2018 through 31-Dec-2018. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/ce89b79b6809a0e82e741bf15e0030c6

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