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GCELTER Data Set Summary
Accession:

PHYGCEM1706a

Research Theme:

Physical Oceanography (Monitoring)

Contributors:

Daniela Di Iorio, Jacob Shalack, Wade Sheldon, Adam Sapp, Caroline Reddy, Tim Montgomery

Title:

Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01Jan2016 through 31Dec2016

Abstract:

Conductivity, temperature and pressure were measured continuously at Georgia Coastal Ecosystems LTER sampling location GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01Jan2016 through 31Dec2016. Observations were logged at 30 minute intervals by moored SeaBird Electronics MicroCAT 37SM data loggers and downloaded approximately semimonthly. Salinity, depth and sigmat (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCELTER Project continuous salinity, temperature and water level monitoring program.

DOI:

10.6073/pasta/03c5c5e11fc7a3274895c261856db9a6

Key Words:

conductivity, daily, density, depth, GCE1, Hydrographic Moorings, hydrography, inorganic nutrients, monitoring, mooring, pressure, salinity, sonde, temperature, water column, water quality

LTER Core Area:

Inorganic Matter

Research Themes:

Q2  Domain Patterns, GCE3 Area2  Patterns within the Domain, Physical Oceanography 
Study Period:

01Jan2016 to 31Dec2016

Study Sites:

GCESP  Sapelo River, Georgia, USA

Project References:

GCE Hydrographic Monitoring, Salinity variations across the GCE domain 
Downloads:

Data Table: PHYGCEM1706a (Primary data table for data set PHYGCEM1706a containing 30 minute observation data, 17568 records)
Access: Public (released 31Dec2017)
Metadata: Text (ESA FLED),
XML (Ecological Metadata Language)
Data Formats: Spreadsheet (CSV) [2311.67kb], Text File [2110.63kb], MATLAB (GCE Toolbox) [3690.05kb], MATLAB (Variables) [3331.61kb], Text Report [2282.61kb]
Column List:(display)
Column 
Name 
Units 
Type 
Description 
1 
Site 
none 
integer 
Nearest nominal GCELTER 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 
floatingpoint 
Geographic longitude in decimal degrees 
4 
Latitude 
degrees 
floatingpoint 
Geographic latitude in decimal degrees 
5 
Instrument 
none 
integer 
Serial number of the SBE 37SM 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 
yyyymmdd 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 
floatingpoint 
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 
floatingpoint 
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 
floatingpoint 
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 
floatingpoint 
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 
floatingpoint 
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 
floatingpoint 
Sigmat (i.e. Density1) 
24 
Flag_Sigma_t 
none 
string 
QA/QC flags for Sigmat (i.e. Density1) (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) 
Data Table: PHYGCEM1706a_Daily (Derived data table for data set PHYGCEM1706a containing dailyaggregated statistical summary data, 366 records)
Access: Public (released 31Dec2017)
Metadata: Text (ESA FLED),
XML (Ecological Metadata Language)
Data Formats: Spreadsheet (CSV) [139.10kb], Text File [136.41kb], MATLAB (GCE Toolbox) [547.00kb], MATLAB (Variables) [462.19kb], Text Report [219.17kb]
Column List:(display)
Column 
Name 
Units 
Type 
Description 
1 
Site 
none 
integer 
Nearest nominal GCELTER 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 
floatingpoint 
Geographic longitude in decimal degrees 
4 
Latitude 
degrees 
floatingpoint 
Geographic latitude in decimal degrees 
5 
Date 
yyyymmdd 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 
% 
floatingpoint 
Percent missing observations of Water temperature 
11 
Flagged_Temperature 
count 
integer 
Number of QC/QAflagged observations of Water temperature 
12 
Percent_Flagged_Temperature 
% 
floatingpoint 
Percent QC/QAflagged observations of Water temperature 
13 
Daily_Num_Temperature 
count 
integer 
Daily Observations of Water temperature 
14 
Daily_Min_Temperature 
°C 
floatingpoint 
Daily Minimum Water temperature 
15 
Daily_Max_Temperature 
°C 
floatingpoint 
Daily Maximum Water temperature 
16 
Daily_Mean_Temperature 
°C 
floatingpoint 
Daily Mean Water temperature 
17 
Daily_StdDev_Temperature 
°C 
floatingpoint 
Daily Sample Standard Deviation of Water temperature 
18 
Daily_SE_Temperature 
°C 
floatingpoint 
Daily Standard Error of Water temperature 
19 
Missing_Conductivity 
count 
integer 
Number of missing observations of Conductivity 
20 
Percent_Missing_Conductivity 
% 
floatingpoint 
Percent missing observations of Conductivity 
21 
Flagged_Conductivity 
count 
integer 
Number of QC/QAflagged observations of Conductivity 
22 
Percent_Flagged_Conductivity 
% 
floatingpoint 
Percent QC/QAflagged observations of Conductivity 
23 
Daily_Num_Conductivity 
count 
integer 
Daily Observations of Conductivity 
24 
Daily_Min_Conductivity 
S/m 
floatingpoint 
Daily Minimum Conductivity 
25 
Daily_Max_Conductivity 
S/m 
floatingpoint 
Daily Maximum Conductivity 
26 
Daily_Mean_Conductivity 
S/m 
floatingpoint 
Daily Mean Conductivity 
27 
Daily_StdDev_Conductivity 
S/m 
floatingpoint 
Daily Sample Standard Deviation of Conductivity 
28 
Daily_SE_Conductivity 
S/m 
floatingpoint 
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 
% 
floatingpoint 
Percent missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) 
31 
Flagged_Pressure 
count 
integer 
Number of QC/QAflagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) 
32 
Percent_Flagged_Pressure 
% 
floatingpoint 
Percent QC/QAflagged 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 
floatingpoint 
Daily Minimum Water pressure at sensor (approximately equivalent to water depth within 3% error) 
35 
Daily_Max_Pressure 
dbar 
floatingpoint 
Daily Maximum Water pressure at sensor (approximately equivalent to water depth within 3% error) 
36 
Daily_Mean_Pressure 
dbar 
floatingpoint 
Daily Mean Water pressure at sensor (approximately equivalent to water depth within 3% error) 
37 
Daily_StdDev_Pressure 
dbar 
floatingpoint 
Daily Sample Standard Deviation of Water pressure at sensor (approximately equivalent to water depth within 3% error) 
38 
Daily_SE_Pressure 
dbar 
floatingpoint 
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 
% 
floatingpoint 
Percent missing observations of Water depth to the pressure sensor of the moored sonde 
41 
Flagged_Depth 
count 
integer 
Number of QC/QAflagged observations of Water depth to the pressure sensor of the moored sonde 
42 
Percent_Flagged_Depth 
% 
floatingpoint 
Percent QC/QAflagged 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 
floatingpoint 
Daily Minimum Water depth to the pressure sensor of the moored sonde 
45 
Daily_Max_Depth 
m 
floatingpoint 
Daily Maximum Water depth to the pressure sensor of the moored sonde 
46 
Daily_Mean_Depth 
m 
floatingpoint 
Daily Mean Water depth to the pressure sensor of the moored sonde 
47 
Daily_StdDev_Depth 
m 
floatingpoint 
Daily Sample Standard Deviation of Water depth to the pressure sensor of the moored sonde 
48 
Daily_SE_Depth 
m 
floatingpoint 
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 
% 
floatingpoint 
Percent missing observations of Salinity 
51 
Flagged_Salinity 
count 
integer 
Number of QC/QAflagged observations of Salinity 
52 
Percent_Flagged_Salinity 
% 
floatingpoint 
Percent QC/QAflagged observations of Salinity 
53 
Daily_Num_Salinity 
count 
integer 
Daily Observations of Salinity 
54 
Daily_Min_Salinity 
PSU 
floatingpoint 
Daily Minimum Salinity 
55 
Daily_Max_Salinity 
PSU 
floatingpoint 
Daily Maximum Salinity 
56 
Daily_Mean_Salinity 
PSU 
floatingpoint 
Daily Mean Salinity 
57 
Daily_StdDev_Salinity 
PSU 
floatingpoint 
Daily Sample Standard Deviation of Salinity 
58 
Daily_SE_Salinity 
PSU 
floatingpoint 
Daily Standard Error of Salinity 
59 
Missing_Sigma_t 
count 
integer 
Number of missing observations of Sigmat (i.e. Density1) 
60 
Percent_Missing_Sigma_t 
% 
floatingpoint 
Percent missing observations of Sigmat (i.e. Density1) 
61 
Flagged_Sigma_t 
count 
integer 
Number of QC/QAflagged observations of Sigmat (i.e. Density1) 
62 
Percent_Flagged_Sigma_t 
% 
floatingpoint 
Percent QC/QAflagged observations of Sigmat (i.e. Density1) 
63 
Daily_Num_Sigma_t 
count 
integer 
Daily Observations of Sigmat (i.e. Density1) 
64 
Daily_Min_Sigma_t 
kg/m^3 
floatingpoint 
Daily Minimum Sigmat (i.e. Density1) 
65 
Daily_Max_Sigma_t 
kg/m^3 
floatingpoint 
Daily Maximum Sigmat (i.e. Density1) 
66 
Daily_Mean_Sigma_t 
kg/m^3 
floatingpoint 
Daily Mean Sigmat (i.e. Density1) 
67 
Daily_StdDev_Sigma_t 
kg/m^3 
floatingpoint 
Daily Sample Standard Deviation of Sigmat (i.e. Density1) 
68 
Daily_SE_Sigma_t 
kg/m^3 
floatingpoint 
Daily Standard Error of Sigmat (i.e. Density1) 

Statistics:

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

Di Iorio, Daniela. 2017. Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE1_Hydro (Sapelo River near Eulonia, Georgia) from 01Jan2016 through 31Dec2016. Georgia Coastal Ecosystems LTER Project, University of Georgia, Long Term Ecological Research Network. http://dx.doi.org/10.6073/pasta/03c5c5e11fc7a3274895c261856db9a6

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