I. Data Set Descriptors
A. Title: Daniela Di Iorio. 2016. Daily Summary of Continuous salinity, temperature and depth
measurements from moored hydrographic data loggers deployed at GCE9_Hydro (Altamaha River
near Rockdedundy Island, Georgia) from 01-Jan-2015 through 31-Dec-2015. Georgia Coastal
Ecosystems LTER Data Catalog (data set PHY-GCEM-1607g;
http://gce-lter.marsci.uga.edu/public/app/dataset_details.asp?accession=PHY-GCEM-1607g)
B. Accession Number: PHY-GCEM-1607g
C. Description
1. Originator(s):
Name: Daniela Di Iorio
Address: Dept. of Marine Sciences
University of Georgia
Athens, Georgia 30602-3636
Country: USA
Email: daniela@uga.edu
2. Abstract: Conductivity, temperature and pressure were measured continuously at Georgia
Coastal Ecosystems LTER sampling location GCE9_Hydro (Altamaha River near Rockdedundy
Island, Georgia) from 01-Jan-2015 through 31-Dec-2015. 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.
3. Study Type: Monitoring
4. Study Themes: Physical Oceanography
5. LTER Core Areas: Inorganic Fluxes
6. Georeferences: geographic coordinates as data columns
7. Submission Date: Jul 22, 2016
D. Keywords: conductivity, daily, density, depth, GCE, GCE9, Georgia, Georgia Coastal
Ecosystems, Hydrographic Moorings, hydrography, Inorganic Fluxes, inorganic nutrients, LTER,
monitoring, mooring, pressure, salinity, Sapelo Island, sonde, temperature, USA, water
column, water quality
II. Research Origin Descriptors
A. Overall Project Description
1. Project Title: Georgia Coastal Ecosystems LTER Project III
2. Principal Investigators:
Name: Merryl Alber
Address: Dept. of Marine Sciences
University of Georgia
Athens, Georgia 30602-3636
Country: USA
Email: malber@uga.edu
3. Funding Period: Nov 01, 2012 to Nov 01, 2018
4. Objectives: The research proposed for GCE-III is designed to address how variations in
salinity and inundation, driven by climate change and anthropogenic factors, affect biotic
and ecosystem responses at different spatial and temporal scales, and to predict the
consequences of these changes for habitat provisioning and carbon (C) sequestration across
the coastal landscape.
5. Abstract: The Georgia Coastal Ecosystems (GCE) LTER is located along three adjacent sounds
on the Atlantic coast and includes both intertidal marshes and estuaries. Long-term
drivers of climate change, sea level rise and human alterations of the landscape will
cause transitions in dominant habitat types (state changes) within the GCE domain by
changing the amounts and patterns of water delivery across the landscape. These changes in
water delivery can be conceptualized as presses and pulses in river inflow, local runoff,
groundwater input, and tidal inundation, which will in turn manifest themselves as changes
in salinity and inundation patterns in the domain. The research proposed for GCE-III is
designed to address how variations in salinity and inundation, driven by climate change
and anthropogenic factors, affect biotic and ecosystem responses at different spatial and
temporal scales, and to predict the consequences of these changes for habitat provisioning
and carbon (C) sequestration across the coastal landscape. The goals are to: 1) Track
long-term changes in climate and human actions in the watershed and adjacent uplands, and
evaluate the effects of these drivers on domain boundary conditions. 2) Describe temporal
and spatial variability in physical, chemical, geological and biological, and to evaluate
how they are affected by variations in river inflow and other boundary conditions. 3)
Characterize the responses of three dominant habitats in the domain to pulses and presses
in salinity and inundation. 4) Describe patterns of habitat provisioning and C
sequestration and export in the GCE domain, and to evaluate how these might be affected by
changes in salinity and inundation. These efforts will be synthesized into a synoptic
understanding of both biotic and ecosystem responses to variations in salinity and
inundation driven by climate change and human activities, which will be used to assess
thresholds between habitats and the potential for state changes in the domain.
6. Funding Source: NSF OCE 1237140
B. Sub-project Description
1. Site Description
a. Geographic Location:
GCE-AL -- Altamaha River, Georgia, USA
GCE9_Hydro -- Altamaha River hydrographic datalogger deployment near Rockdedundy Island
Coordinates:
GCE-AL --
NW: 081 34 56.32 W, 31 24 05.05 N
NE: 081 14 16.57 W, 31 24 05.05 N
SE: 081 14 16.57 W, 31 17 45.72 N
SW: 081 34 56.32 W, 31 17 45.72 N
GCE9_Hydro -- 81 19 19.1 W, 31 19 12.4 N
b. Physiographic Region:
GCE-AL -- Estuary and tidal marsh
GCE9_Hydro -- Estuary and tidal marsh
c. Landform Components:
GCE-AL -- Intertidal marsh bordering sounds, tidal channels and creeks
GCE9_Hydro -- Intertidal marsh bordering sounds, tidal channels and creeks
d. Hydrographic Characteristics:
GCE-AL -- Site encompasses the Altamaha River estuary and nearby tidal creeks, and is
subject to 2-3.4m semi-diurnal tides. High freshwater input from the Altamaha River,
one of the largest rivers in the Southeastern United States.
GCE9_Hydro -- Site encompasses the Altamaha River estuary and nearby tidal creeks, and
is subject to 2-3.4m semi-diurnal tides. High freshwater input from the Altamaha
River, one of the largest rivers in the Southeastern United States.
e. Topographic Attributes:
GCE-AL -- Flat, with elevations ranging from 0-3.4m above mean low tide
GCE9_Hydro -- Flat, with elevations ranging from 0-3.4m above mean low tide
f. Geology, Lithology and Soils:
GCE-AL -- unspecified
GCE9_Hydro -- unspecified
g. Vegetation Communities:
GCE-AL -- unspecified
GCE9_Hydro -- unspecified
h. History of Land Use and Disturbance: none recorded
i. Climate: Climate summary for Sapelo Island, Georgia, based on NWS data from 1980-2010:
Daily-aggregated Values: Mean (sample standard deviation)
mean air temperature: 20.09°C (7.28°C)
minimum air temperature: 15.02°C (7.96°C)
maximum air temperature: 24.82°C (6.98°C)
total precipitation: 3.26mm (10.3mm)
Yearly-aggregated Daily Values: Mean (sample standard deviation)
total precipitation (1980-2010): 1124mm (266mm)
2. Experimental or Sampling Design
a. Design Characteristics: Conductivity, temperature and pressure were continuously
monitored using an autonomous data-logging sensor package (sonde) that was moored to a
piling and submerged 1-1.5m below mean low water.
b. Permanent Plots: none
c. Data Collection Duration and Frequency: The MicroCAT was programmed to autonomously
measure and log conductivity, temperature and pressure at a sampling rate of 30 minutes
(based on its internal chronometer). Upon retrieval the data was downloaded from the
instrument via RS-232 serial communications and processed using custom Matlab(r)
procedures to calculate depth (i.e. from pressure and latitude), salinity and sigma-t
(i.e. from conductivity and temperature), and date and time components from sample time
stamps.
Beginning of Observations: Jan 01, 2015
End of Observations: Dec 31, 2015
3. Research Methods
a. Field and Laboratory Methods:
Method 1: Deployment -- The MicroCAT was mounted inside a protective PVC pipe enclosure
and attached to a wooden piling (~12 inch diameter) that was driven firmly into the
substrate. The enclosure was constructed from a 10-foot length of 6-inch (internal
diameter) PVC pipe that was perforated all over by drilling 1.5-inch holes (at
approximately 4-inch spacing); this permits proper water circulation within the
enclosure. The bottom of the PVC pipe was submerged about 5 feet below the water
surface at low tide and bolted (vertically) to the piling. The MicroCAT was deployed
by lowering it into the enclosure on a 0.375-inch stainless steel cable, and bolting
the cable to the piling, so that the bottom of the data logger was ~3 inches above
the bottom of the PVC pipe. A weighted surveyor's tape was then used to measure the
distance from the substrate to the pressure sensor on the MicroCAT for calculation
of total water column depth from pressure readings. The mooring was inspected every
1-3 weeks, and any visible fouling of the enclosure or MicroCAT was removed with a
brush or scaper.
Method 2: Retrieval and Calibration -- At the end of each measurement period
(approximately 2 months), the MicroCAT was unshackled from the cable and returned to
the laboratory. The stored data was uploaded to a computer using a RS-232 serial
cable and Sea-Bird Electronics SEATERM software. The MicroCAT was then cleaned to
remove encrusting material and calibrated with a reference instrument at 4 to 5
salinity levels, generally ranging from 30 to 5 PSU.
Method 3: Data Processing -- Data were processed after each retrieval using custom
programs in the GCE Data Toolbox for MATLAB (parse_37sm and imp_gcesonde). Depth was
calculated from recorded pressure and latitude values, and salinity and sigma-t were
calculated from recorded conductivity and temperature values using standard UNESCO
algorithms (reference: Unesco. 1983. Algorithms for computation of fundamental
properties of seawater, 1983. Unesco Technical Papers in Marine Science No. 44, 53
pp.). Data were then plotted and visually inspected for evidence of biofouling of
the conductivity sensor (i.e. prolonged periods of damped tidal oscillation in
conductivity signal with no corresponding changes in temperature signal and no wind
or rainfall events recorded at nearby monitoring stations, or periods of damped
oscillation immediately followed by normal oscillation after instrument maintenance
or replacement). Conductivity values recorded during periods of suspected biofouling
were flagged as I (invalid) if visible fouling was noted in maintenance logs, and Q
(questionable) if no visible fouling was noted.
Method 4: Daily Aggregation -- The finalized 30-minute resolution data set was filtered
to remove any remaining invalid values (i.e. assigned qualifier flags of 'I' =
invalid value or 'X' = excise row), then padded with empty rows to produce a
monotonic time series data set with even time steps. The data records were then
aggregated (grouped) by Year, Month, Day, Site, Longitude and Latitude, and relevant
summary statistics were calculated for each measured variable in each group and
added as data columns. Quality control rules were defined for each calculated column
to flag statistics based on days with more than 35% missing values as invalid, and
more than 10% missing values or 35% flagged values as questionable. Columns listing
the number and percentage of missing and flagged values in the original data set for
each day were also added as data columns for reference by quality control rules.
Following aggregation, summary statistics flagged as invalid were removed from the
daily-aggregated data set and converted to missing (NaN).
Daily Aggregation -- The finalized 30-minute resolution data set was filtered to remove
any remaining invalid values (i.e. assigned qualifier flags of 'I' = invalid value
or 'X' = excise row), then padded with empty rows to produce a monotonic time series
data set with even time steps. The data records were then aggregated (grouped) by
Year, Month, Day, Site, Longitude and Latitude, and relevant summary statistics were
calculated for each measured variable in each group and added as data columns.
Quality control rules were defined for each calculated column to flag statistics
based on days with more than 35% missing values as invalid, and more than 10%
missing values or 35% flagged values as questionable. Columns listing the number and
percentage of missing and flagged values in the original data set for each day were
also added as data columns for reference by quality control rules. Following
aggregation, summary statistics flagged as invalid were removed from the
daily-aggregated data set and converted to missing (NaN).
b. Protocols:
Method 1: none
Method 2: none
Method 3: none
Method 4: none
c. Instrumentation:
Method 1:
SBE MicroCAT 37-SM (S/N 3342)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Aug 11, 2011
Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0
to 7 S/m)
Protocol: Prior to each timed measurement the conductivity cell is opened and
water is pumped for 0.5 sec, then conductivity is measured using an
ultra-precision Wien-Bridge oscillator with frequency counted by a
high-stability reference crystal (<2 ppm/year drift rate). The cell is closed
between measurements and tributyl tin antifoulant is released into the tubing.
Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to
20m)
Protocol: Pressure is measured using a micro-machined silicon diaphragm with
embedded strain elements, and temperature compensation is performed by the SBE
MicroCAT onboard cpu.
Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range:
-5 to 35°C)
Protocol: Temperature is measured by applying an AC excitation to a
hermetically-sealed VISHAY reference resistor and an ultra-stable aged
thermistor (drift rate typically less than 0.002°C/year).
SBE MicroCAT 37-SM (S/N 1791)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Jan 27, 2011
Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0
to 7 S/m)
Protocol: Water passively circulates through an open internal-field conductivity
cell equipped with an external tributyl tin antifoulant dispenser, and
conductivity is measured using an ultra-precision Wien-Bridge oscillator with
frequency counted by a high-stability reference crystal (<2 ppm/year drift
rate).
Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to
20m)
Protocol: Pressure is measured using a micro-machined silicon diaphragm with
embedded strain elements, and temperature compensation is performed by the SBE
MicroCAT onboard cpu.
Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range:
-5 to 35°C)
Protocol: Temperature is measured by applying an AC excitation to a
hermetically-sealed VISHAY reference resistor and an ultra-stable aged
thermistor (drift rate typically less than 0.002°C/year).
SBE MicroCAT 37-SM (S/N 1793)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Jun 16, 2015
Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0
to 7 S/m)
Protocol: Water passively circulates through an open internal-field conductivity
cell equipped with an external tributyl tin antifoulant dispenser, and
conductivity is measured using an ultra-precision Wien-Bridge oscillator with
frequency counted by a high-stability reference crystal (<2 ppm/year drift
rate).
Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to
20m)
Protocol: Pressure is measured using a micro-machined silicon diaphragm with
embedded strain elements, and temperature compensation is performed by the SBE
MicroCAT onboard cpu.
Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range:
-5 to 35°C)
Protocol: Temperature is measured by applying an AC excitation to a
hermetically-sealed VISHAY reference resistor and an ultra-stable aged
thermistor (drift rate typically less than 0.002°C/year).
SBE MicroCAT 37-SM (S/N 3746)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Nov 29, 2012
Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0
to 7 S/m)
Protocol: Prior to each timed measurement the conductivity cell is opened and
water is pumped for 0.5 sec, then conductivity is measured using an
ultra-precision Wien-Bridge oscillator with frequency counted by a
high-stability reference crystal (<2 ppm/year drift rate). The cell is closed
between measurements and tributyl tin antifoulant is released into the tubing.
Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to
20m)
Protocol: Pressure is measured using a micro-machined silicon diaphragm with
embedded strain elements, and temperature compensation is performed by the SBE
MicroCAT onboard cpu.
Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range:
-5 to 35°C)
Protocol: Temperature is measured by applying an AC excitation to a
hermetically-sealed VISHAY reference resistor and an ultra-stable aged
thermistor (drift rate typically less than 0.002°C/year).
Method 2: none
Method 3: none
Method 4: none
d. Taxonomy and Systematics:
Method 1: not applicable
Method 2:
Method 3:
Method 4:
e. Speclies List:
f. Permit History:
Method 1: none
Method 2: none
Method 3: none
Method 4: none
4. Project Personnel
a. Personnel:
1: Daniela Di Iorio
2: Jacob Shalack
3: Wade M. Sheldon, Jr.
4: Adam Sapp
5: Caroline M. Reddy
6: Timothy G. Montgomery
b. Affiliations:
1: University of Georgia, Athens, Georgia
2: University of Georgia Marine Institute, Sapelo Island, Georgia
3: University of Georgia, Athens, Georgia
4: University of Georgia, Athens, Georgia
5: University of Georgia, Sapelo Island, Georgia
6: University of Georgia, Sapelo Island, Georgia
III. Data Set Status and Accessibility
A. Status
1. Latest Update: 23-Sep-2016
2. Latest Archive Date: 23-Sep-2016
3. Latest Metadata Update: 23-Sep-2016
4. Data Verification Status: New submission
B. Accessibility
1. Storage Location and Medium: Stored at
GCE-LTER Data Management Office
Dept. of Marine Sciences
Univ. of Georgia
Athens, GA 30602-3636
USA
on media: electronic data download (WWW) or compact disk
2. Contact Person:
Name: Wade M. Sheldon, Jr.
Address: Dept. of Marine Sciences
University of Georgia
Athens, Georgia 30602-3636
Country: USA
Email: sheldon@uga.edu
3. Copyright Restrictions: not copyrighted
4. Restrictions: All publications based on this data set must cite the contributor and
Georgia Coastal Ecosystems LTER project, and two copies of the manuscript must be
submitted to the GCE-LTER Information Management Office.
a. Release Date: Affiliates: Jul 22, 2016, Public: Jul 22, 2016
b. Citation: Data provided by the Georgia Coastal Ecosystems Long Term Ecological Research
Project, supported by funds from NSF OCE 1237140 (data set PHY-GCEM-1607g)
c. Disclaimer: The user assumes all responsibility for errors in judgement based on
interpretation of data and analyses presented in this data set.
5. Costs: free electronic data download via WWW, distribution on CD may be subject to nominal
processing and handling fee
IV. Data Structural Descriptors
A. Data Set File
1. File Name: PHY-GCEM-1607g_Daily_1_0.CSV
2. Size: 365 records
3. File Format: ASCII text (comma-separated value format)
3a. Delimiters: single comma
4. Header Information: 5 lines of ASCII text
5. Alphanumeric Attributes: none
6. Quality Control Flag Codes: Q = questionable value, I = invalid value (out of range), S =
spike/noise, X = excise row flag
7. Authentication Procedures: not specified
8. Calculations:
Depth(m) = sw_dpth(Pressure(dbar),Latitude(deg)) -- sw_dpth (salt water depth from
pressure) Matlab function, Revision: 1.3, Date: 10-Oct-1994 (C)1992 CSIRO, Phil Morgan
(morgan@ml.csiro.au)
[Salinity(psu),Sigma_t] = salsig2(Depth(m),Temperature(C),Conductivity(mmho/cm)) --
salsig2 (salinity and sigma-t from conductivity, temperature and depth) Matlab function
Revision 06-May-1992 by V. Holliday, as modified by Tom Gross and Julie Amft
(julie@skio.peachnet.edu)
9. Processing History:
Software version: GCE Data Toolbox Version 3.9.6b (27-Aug-2016)
Data structure version: GCE Data Structure 1.1 (29-Mar-2001)
Original data files processed:
09150342.asc (5571 records)
09150946.asc (7773 records)
09151291.asc (4429 records)
09160393.asc (5083 records)
Data processing history:
02-Apr-2015: data uploaded from SBE 37-SM MicroCAT using SEATERM software version 1.59
15-Apr-2015: new GCE Data Structure 1.1 created ('newstruct')
15-Apr-2015: data imported from processed SBE SM-37 sonde data file '09150342.asc'
(5571 records) ('imp_gcesonde')
15-Apr-2015: deleted column Second from the structure ('deletecols')
15-Apr-2015: calculated calendar date in MATLAB serial day (base 1/1/0000) format from
individual date component columns Year, Month, Day, Hour and Minute, added 'Date'
column at position 1 ('add_datecol')
15-Apr-2015: added column 'Instrument' at position 1 ('addcol')
15-Apr-2015: added column 'Latitude' at position 1 ('addcol')
15-Apr-2015: Q/C flagging criteria applied for column(s) Latitude, 'flags' field
updated ('dataflag')
15-Apr-2015: added column 'Longitude' at position 1 ('addcol')
15-Apr-2015: Q/C flagging criteria applied for column(s) Longitude, 'flags' field
updated ('dataflag')
15-Apr-2015: added column 'Site' at position 1 ('addcol')
15-Apr-2015: matched 5571 out of 5571 geographic coordinates in columns Latitude and
Longitude to coordinates for registered locations in the file 'geo_locations.mat'
within a distance tolerance of 0.5km (add_locations)
15-Apr-2015: added column 'Station' at position 2 ('addcol')
15-Apr-2015: Q/C flagging criteria applied for column(s) Station, 'flags' field updated
('dataflag')
15-Apr-2015: added geographic metadata based on matching values in column Station to
location and station names registered in 'geo_locations.mat' ('add_sitemetadata')
15-Apr-2015: updated 8 metadata fields in the Site sections ('addmeta')
15-Apr-2015: added column 'Calibration' at position 18 ('addcol')
15-Apr-2015: Q/C flagging criteria applied for column(s) Calibration, 'flags' field
updated ('dataflag')
15-Apr-2015: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement
sections ('addmeta')
15-Apr-2015: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
15-Apr-2015: edited structure data ('ui_datagrid'): deleted record(s) 5566, 5567, 5568,
5569, 5570 and 5571
15-Apr-2015: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
15-Apr-2015: QA/QC flags assigned by visual inspection (ui_visualqc); flags cleared on
225 records in Conductivity
15-Apr-2015: copied QA/QC flags from column(s) Temperature, Conductivity and Pressure
to column(s) Salinity and Sigma_t, merging copied flags with any existing flags, and
set QA/QC criteria for destination column(s) to 'manual' ('copyflags')
15-Apr-2015: copied QA/QC flags for column(s) Salinity and Sigma_t to column(s)
Temperature, Conductivity and Pressure, overwriting any existing flags, and set
QA/QC criteria for destination column(s) to 'manual' ('copyflags')
16-Apr-2015: query 'Year==2015' run, returned 4311 of 5565 data rows ('querydata')
16-Apr-2015: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
16-Apr-2015: manually edited data set metadata ('ui_editmetadata')
16-Apr-2015: edited data set title in structure and metadata ('ui_editor')
27-Jul-2016: 7720 rows added at the bottom of the data set ('datamerge')
27-Jul-2016: updated 19 metadata fields in the Data, Dataset, Status, Study, Supplement
sections ('addmeta')
27-Jul-2016: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
27-Jul-2016: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
27-Jul-2016: 4423 rows added at the bottom of the data set ('datamerge')
27-Jul-2016: updated 19 metadata fields in the Data, Dataset, Status, Study, Supplement
sections ('addmeta')
27-Jul-2016: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
27-Jul-2016: 5044 rows added at the bottom of the data set ('datamerge')
27-Jul-2016: updated 19 metadata fields in the Data, Dataset, Status, Study, Supplement
sections ('addmeta')
27-Jul-2016: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
27-Jul-2016: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
27-Jul-2016: manually edited data set metadata ('ui_editmetadata')
27-Jul-2016: edited data set title in structure and metadata ('ui_editor')
27-Jul-2016: inserted 1 new record with date/time values and NaN/null data values
(replicating common values in the non-data columns Site, Station, Longitude,
Latitude, Instrument, Calibration and Pump) to fill in date/time interval gaps in
the data series ('pad_date_gaps')
27-Jul-2016: sorted by column Date(ascending) ('sortdata')
27-Jul-2016: deleted existing datetime columns Year, Month, Day, Hour and Minute;
updated Year, Month, Day, Hour and Minute datetime columns added after column Date
('add_datepartcols')
27-Jul-2016: updated 1 metadata fields in the Data sections ('addmeta')
27-Jul-2016: sorted by column Date(ascending) ('sortdata')
27-Jul-2016: replaced 1 missing value in column Temperature with an estimated value
based on 1D interpolation of Temperature as a function of Date using the MATLAB 9
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 25 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Temperature' was updated with a new value ('update_data'):
changed record 4312 from NaN to 16.981
27-Jul-2016: Q/C flagging criteria applied for column(s) Temperature, 'flags' field
updated ('dataflag')
27-Jul-2016: replaced 1 missing value in column Conductivity with an estimated value
based on 1D interpolation of Conductivity as a function of Date using the MATLAB 9
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 25 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Conductivity' was updated with a new value ('update_data'):
changed record 4312 from NaN to 1.047
27-Jul-2016: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field
updated ('dataflag')
27-Jul-2016: replaced 1 missing value in column Pressure with an estimated value based
on 1D interpolation of Pressure as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 25 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Pressure' was updated with a new value ('update_data'):
changed record 4312 from NaN to 2.164
27-Jul-2016: Q/C flagging criteria applied for column(s) Pressure, 'flags' field
updated ('dataflag')
27-Jul-2016: replaced 1 missing value in column Depth with an estimated value based on
1D interpolation of Depth as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 25 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Depth' was updated with a new value ('update_data'): changed
record 4312 from NaN to 2.149
27-Jul-2016: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated
('dataflag')
27-Jul-2016: replaced 1 missing value in column Salinity with an estimated value based
on 1D interpolation of Salinity as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 25 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Salinity' was updated with a new value ('update_data'):
changed record 4312 from NaN to 7.108
27-Jul-2016: Q/C flagging criteria applied for column(s) Salinity, 'flags' field
updated ('dataflag')
27-Jul-2016: replaced 1 missing value in column Sigma_t with an estimated value based
on 1D interpolation of Sigma_t as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 25 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
27-Jul-2016: 1 value in 'Sigma_t' was updated with a new value ('update_data'):
changed record 4312 from NaN to 4.211
27-Jul-2016: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated
('dataflag')
27-Jul-2016: manually edited data set metadata ('ui_editmetadata')
27-Jul-2016: Q/C Criteria of column Conductivity changed from
'x<0='I';col_Depth<=0='I';col_Depth<0.15='Q';flag_valuechange(x,0.75,0.75,1,3)='Q';ma
nual' to 'x<0='I';col_Depth<=0='I';col_Depth<0.15='Q' ('ui_editor')
27-Jul-2016: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field
updated ('dataflag')
27-Jul-2016: QA/QC flags assigned by visual inspection (ui_visualqc); flags set on 621
records in Conductivity
27-Jul-2016: copied QA/QC flags for column(s) Salinity and Sigma_t to column(s)
Temperature, Conductivity and Pressure, overwriting any existing flags, and set
QA/QC criteria for destination column(s) to 'manual' ('copyflags')
27-Jul-2016: query 'Year==2015' run, returned 17519 of 21499 data rows ('querydata')
27-Jul-2016: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
27-Jul-2016: manually edited data set metadata ('ui_editmetadata')
27-Jul-2016: edited data set title in structure and metadata ('ui_editor')
27-Jul-2016: documented flagged and missing values in columns Temperature, Pressure,
Depth, Salinity and Sigma_t as data set anomalies in the metadata ('add_anomalies')
23-Sep-2016: inserted 1 new record with date/time values and NaN/null data values
(replicating common values in the non-data columns Site, Station, Longitude,
Latitude, Instrument, Calibration and Pump) to fill in date/time interval gaps in
the data series ('pad_date_gaps')
23-Sep-2016: sorted by column Date(ascending) ('sortdata')
23-Sep-2016: deleted existing datetime columns Year, Month, Day, Hour and Minute;
updated Year, Month, Day, Hour and Minute datetime columns added after column Date
('add_datepartcols')
23-Sep-2016: updated 1 metadata fields in the Data sections ('addmeta')
23-Sep-2016: sorted by column Date(ascending) ('sortdata')
23-Sep-2016: replaced 1 missing value in column Temperature with an estimated value
based on 1D interpolation of Temperature as a function of Date using the MATLAB 9
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 8 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Temperature' was updated with a new value ('update_data'):
changed record 7433 from NaN to 27.529
23-Sep-2016: Q/C flagging criteria applied for column(s) Temperature, 'flags' field
updated ('dataflag')
23-Sep-2016: replaced 1 missing value in column Conductivity with an estimated value
based on 1D interpolation of Conductivity as a function of Date using the MATLAB 9
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 8 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Conductivity' was updated with a new value ('update_data'):
changed record 7433 from NaN to 1.418
23-Sep-2016: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field
updated ('dataflag')
23-Sep-2016: replaced 1 missing value in column Pressure with an estimated value based
on 1D interpolation of Pressure as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 8 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Pressure' was updated with a new value ('update_data'):
changed record 7433 from NaN to 1.527
23-Sep-2016: Q/C flagging criteria applied for column(s) Pressure, 'flags' field
updated ('dataflag')
23-Sep-2016: replaced 1 missing value in column Depth with an estimated value based on
1D interpolation of Depth as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 8 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Depth' was updated with a new value ('update_data'): changed
record 7433 from NaN to 1.517
23-Sep-2016: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated
('dataflag')
23-Sep-2016: replaced 1 missing value in column Salinity with an estimated value based
on 1D interpolation of Salinity as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 8 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Salinity' was updated with a new value ('update_data'):
changed record 7433 from NaN to 7.771
23-Sep-2016: Q/C flagging criteria applied for column(s) Salinity, 'flags' field
updated ('dataflag')
23-Sep-2016: replaced 1 missing value in column Sigma_t with an estimated value based
on 1D interpolation of Sigma_t as a function of Date using the MATLAB 9 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 8 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
23-Sep-2016: 1 value in 'Sigma_t' was updated with a new value ('update_data'):
changed record 7433 from NaN to 2.181
23-Sep-2016: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated
('dataflag')
23-Sep-2016: query 'Year=2015' run, returned 17520 of 17520 data rows ('querydata')
23-Sep-2016: copied QA/QC flags from column(s) Conductivity and Temperature to
column(s) Salinity and Sigma_t, merging copied flags with any existing flags, and
set QA/QC criteria for destination column(s) to 'manual' ('copyflags')
23-Sep-2016: imported all documentation metadata from the template 'GCE_Sonde',
retaining existing attribute descriptors for all columns ('meta_template')
23-Sep-2016: updated 40 metadata fields in the Data, Dataset, Project, Site, Status,
Study, Supplement sections ('addmeta')
23-Sep-2016: updated title ('newtitle')
23-Sep-2016: added geographic metadata based on matching values in column Station to
location and station names registered in 'geo_locations.mat' ('add_sitemetadata')
23-Sep-2016: updated 8 metadata fields in the Site sections ('addmeta')
23-Sep-2016: updated title ('newtitle')
23-Sep-2016: updated 1 metadata fields in the Dataset sections ('addmeta')
23-Sep-2016: imported Dataset, Project, Site, Study, Status, Supplement metadata
descriptors from the GCE Metabase ('imp_gcemetadata')
23-Sep-2016: updated 57 metadata fields in the Dataset, Project, Site, Status, Study,
Supplement sections ('addmeta')
23-Sep-2016: deleted columns Pump and Calibration from the structure ('deletecols')
23-Sep-2016: performed daily statistical aggregation on data columns Temperature,
Conductivity, Pressure, Depth, Salinity and Sigma_t by grouping on columns Site,
Longitude, Latitude, Year, Month and Day (aggr_datetime)
23-Sep-2016: updated title ('newtitle')
23-Sep-2016: updated 1 metadata fields in the Dataset sections ('addmeta')
23-Sep-2016: calculated calendar date in MATLAB serial day (base 1/1/0000) format from
individual date component columns Year, Month and Day, added 'Date' column at
position 4 ('add_datecol')
23-Sep-2016: updated 1 metadata fields in the Study sections ('addmeta')
23-Sep-2016: converted dates in column(s) Date to format yyyy-mm-dd
23-Sep-2016: updated 6 metadata fields in the Data sections ('addmeta')
23-Sep-2016: updated 15 metadata fields in the Status, Data sections to reflect
attribute metadata ('updatecols')
23-Sep-2016: parsed and formatted metadata ('listmeta')
B. Variable Information
1. Variable Name:
column 1. Site
column 2. Longitude
column 3. Latitude
column 4. Date
column 5. Year
column 6. Month
column 7. Day
column 8. Missing_Temperature
column 9. Percent_Missing_Temperature
column 10. Flagged_Temperature
column 11. Percent_Flagged_Temperature
column 12. Daily_Num_Temperature
column 13. Daily_Min_Temperature
column 14. Daily_Max_Temperature
column 15. Daily_Mean_Temperature
column 16. Daily_StdDev_Temperature
column 17. Daily_SE_Temperature
column 18. Missing_Conductivity
column 19. Percent_Missing_Conductivity
column 20. Flagged_Conductivity
column 21. Percent_Flagged_Conductivity
column 22. Daily_Num_Conductivity
column 23. Daily_Min_Conductivity
column 24. Daily_Max_Conductivity
column 25. Daily_Mean_Conductivity
column 26. Daily_StdDev_Conductivity
column 27. Daily_SE_Conductivity
column 28. Missing_Pressure
column 29. Percent_Missing_Pressure
column 30. Flagged_Pressure
column 31. Percent_Flagged_Pressure
column 32. Daily_Num_Pressure
column 33. Daily_Min_Pressure
column 34. Daily_Max_Pressure
column 35. Daily_Mean_Pressure
column 36. Daily_StdDev_Pressure
column 37. Daily_SE_Pressure
column 38. Missing_Depth
column 39. Percent_Missing_Depth
column 40. Flagged_Depth
column 41. Percent_Flagged_Depth
column 42. Daily_Num_Depth
column 43. Daily_Min_Depth
column 44. Daily_Max_Depth
column 45. Daily_Mean_Depth
column 46. Daily_StdDev_Depth
column 47. Daily_SE_Depth
column 48. Missing_Salinity
column 49. Percent_Missing_Salinity
column 50. Flagged_Salinity
column 51. Percent_Flagged_Salinity
column 52. Daily_Num_Salinity
column 53. Daily_Min_Salinity
column 54. Daily_Max_Salinity
column 55. Daily_Mean_Salinity
column 56. Daily_StdDev_Salinity
column 57. Daily_SE_Salinity
column 58. Missing_Sigma_t
column 59. Percent_Missing_Sigma_t
column 60. Flagged_Sigma_t
column 61. Percent_Flagged_Sigma_t
column 62. Daily_Num_Sigma_t
column 63. Daily_Min_Sigma_t
column 64. Daily_Max_Sigma_t
column 65. Daily_Mean_Sigma_t
column 66. Daily_StdDev_Sigma_t
column 67. Daily_SE_Sigma_t
2. Variable Definition:
column 1. Nearest nominal GCE-LTER sampling site
column 2. Geographic longitude in decimal degrees
column 3. Geographic latitude in decimal degrees
column 4. Fractional MATLAB serial day (based on 1 = January 1, 0000)
column 5. Calendar year
column 6. Calendar month
column 7. Calendar day
column 8. Number of missing observations of Water temperature
column 9. Percent missing observations of Water temperature
column 10. Number of QC/QA-flagged observations of Water temperature
column 11. Percent QC/QA-flagged observations of Water temperature
column 12. Daily Observations of Water temperature
column 13. Daily Minimum Water temperature
column 14. Daily Maximum Water temperature
column 15. Daily Mean Water temperature
column 16. Daily Sample Standard Deviation of Water temperature
column 17. Daily Standard Error of Water temperature
column 18. Number of missing observations of Conductivity
column 19. Percent missing observations of Conductivity
column 20. Number of QC/QA-flagged observations of Conductivity
column 21. Percent QC/QA-flagged observations of Conductivity
column 22. Daily Observations of Conductivity
column 23. Daily Minimum Conductivity
column 24. Daily Maximum Conductivity
column 25. Daily Mean Conductivity
column 26. Daily Sample Standard Deviation of Conductivity
column 27. Daily Standard Error of Conductivity
column 28. Number of missing observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 29. Percent missing observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 30. Number of QC/QA-flagged observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 31. Percent QC/QA-flagged observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 32. Daily Observations of Water pressure at sensor (approximately equivalent to
water depth within 3% error)
column 33. Daily Minimum Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 34. Daily Maximum Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 35. Daily Mean Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 36. Daily Sample Standard Deviation of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 37. Daily Standard Error of Water pressure at sensor (approximately equivalent to
water depth within 3% error)
column 38. Number of missing observations of Water depth to the pressure sensor of the
moored sonde
column 39. Percent missing observations of Water depth to the pressure sensor of the
moored sonde
column 40. Number of QC/QA-flagged observations of Water depth to the pressure sensor of
the moored sonde
column 41. Percent QC/QA-flagged observations of Water depth to the pressure sensor of the
moored sonde
column 42. Daily Observations of Water depth to the pressure sensor of the moored sonde
column 43. Daily Minimum Water depth to the pressure sensor of the moored sonde
column 44. Daily Maximum Water depth to the pressure sensor of the moored sonde
column 45. Daily Mean Water depth to the pressure sensor of the moored sonde
column 46. Daily Sample Standard Deviation of Water depth to the pressure sensor of the
moored sonde
column 47. Daily Standard Error of Water depth to the pressure sensor of the moored sonde
column 48. Number of missing observations of Salinity
column 49. Percent missing observations of Salinity
column 50. Number of QC/QA-flagged observations of Salinity
column 51. Percent QC/QA-flagged observations of Salinity
column 52. Daily Observations of Salinity
column 53. Daily Minimum Salinity
column 54. Daily Maximum Salinity
column 55. Daily Mean Salinity
column 56. Daily Sample Standard Deviation of Salinity
column 57. Daily Standard Error of Salinity
column 58. Number of missing observations of Sigma-t (i.e. Density-1)
column 59. Percent missing observations of Sigma-t (i.e. Density-1)
column 60. Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1)
column 61. Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1)
column 62. Daily Observations of Sigma-t (i.e. Density-1)
column 63. Daily Minimum Sigma-t (i.e. Density-1)
column 64. Daily Maximum Sigma-t (i.e. Density-1)
column 65. Daily Mean Sigma-t (i.e. Density-1)
column 66. Daily Sample Standard Deviation of Sigma-t (i.e. Density-1)
column 67. Daily Standard Error of Sigma-t (i.e. Density-1)
3. Units of Measurement:
column 1. none
column 2. degrees
column 3. degrees
column 4. yyyy-mm-dd
column 5. YYYY
column 6. MM
column 7. DD
column 8. count
column 9. %
column 10. count
column 11. %
column 12. count
column 13. °C
column 14. °C
column 15. °C
column 16. °C
column 17. °C
column 18. count
column 19. %
column 20. count
column 21. %
column 22. count
column 23. S/m
column 24. S/m
column 25. S/m
column 26. S/m
column 27. S/m
column 28. count
column 29. %
column 30. count
column 31. %
column 32. count
column 33. dbar
column 34. dbar
column 35. dbar
column 36. dbar
column 37. dbar
column 38. count
column 39. %
column 40. count
column 41. %
column 42. count
column 43. m
column 44. m
column 45. m
column 46. m
column 47. m
column 48. count
column 49. %
column 50. count
column 51. %
column 52. count
column 53. PSU
column 54. PSU
column 55. PSU
column 56. PSU
column 57. PSU
column 58. count
column 59. %
column 60. count
column 61. %
column 62. count
column 63. kg/m^3
column 64. kg/m^3
column 65. kg/m^3
column 66. kg/m^3
column 67. kg/m^3
4. Data Type
a. Storage Type:
column 1. integer
column 2. floating-point
column 3. floating-point
column 4. string
column 5. integer
column 6. integer
column 7. integer
column 8. integer
column 9. floating-point
column 10. integer
column 11. floating-point
column 12. integer
column 13. floating-point
column 14. floating-point
column 15. floating-point
column 16. floating-point
column 17. floating-point
column 18. integer
column 19. floating-point
column 20. integer
column 21. floating-point
column 22. integer
column 23. floating-point
column 24. floating-point
column 25. floating-point
column 26. floating-point
column 27. floating-point
column 28. integer
column 29. floating-point
column 30. integer
column 31. floating-point
column 32. integer
column 33. floating-point
column 34. floating-point
column 35. floating-point
column 36. floating-point
column 37. floating-point
column 38. integer
column 39. floating-point
column 40. integer
column 41. floating-point
column 42. integer
column 43. floating-point
column 44. floating-point
column 45. floating-point
column 46. floating-point
column 47. floating-point
column 48. integer
column 49. floating-point
column 50. integer
column 51. floating-point
column 52. integer
column 53. floating-point
column 54. floating-point
column 55. floating-point
column 56. floating-point
column 57. floating-point
column 58. integer
column 59. floating-point
column 60. integer
column 61. floating-point
column 62. integer
column 63. floating-point
column 64. floating-point
column 65. floating-point
column 66. floating-point
column 67. floating-point
b. Variable Codes:
c. Numeric Range:
column 1. 9 to 9
column 2. -81.322 to -81.322
column 3. 31.3201 to 31.3201
column 4. (none)
column 5. 2015 to 2015
column 6. 1 to 12
column 7. 1 to 31
column 8. 0 to 0
column 9. 0 to 0
column 10. 0 to 1
column 11. 0 to 2.0408
column 12. 48 to 48
column 13. 8.3868 to 30.4891
column 14. 9.636 to 31.7419
column 15. 9.0899 to 31.0855
column 16. 0.060301 to 1.6751
column 17. 0.0087037 to 0.24179
column 18. 0 to 0
column 19. 0 to 0
column 20. 0 to 1
column 21. 0 to 2.0408
column 22. 48 to 48
column 23. 0.00737 to 3.2937
column 24. 2.516 to 5.6363
column 25. 0.75367 to 4.5599
column 26. 0.58163 to 1.6826
column 27. 0.083951 to 0.24287
column 28. 0 to 0
column 29. 0 to 0
column 30. 0 to 1
column 31. 0 to 2.0408
column 32. 48 to 48
column 33. 0.835 to 2.354
column 34. 3.18 to 4.261
column 35. 2.1515 to 3.0533
column 36. 0.48816 to 0.96727
column 37. 0.07046 to 0.13961
column 38. 0 to 0
column 39. 0 to 0
column 40. 0 to 1
column 41. 0 to 2.0408
column 42. 48 to 48
column 43. 0.82923 to 2.3377
column 44. 3.158 to 4.2315
column 45. 2.1366 to 3.0321
column 46. 0.48478 to 0.96057
column 47. 0.069971 to 0.13865
column 48. 0 to 0
column 49. 0 to 0
column 50. 0 to 1
column 51. 0 to 2.0408
column 52. 48 to 48
column 53. 0.045963 to 18.783
column 54. 20.1345 to 33.9168
column 55. 4.8272 to 27.0928
column 56. 4.2396 to 11.1591
column 57. 0.61193 to 1.6107
column 58. 0 to 0
column 59. 0 to 0
column 60. 0 to 1
column 61. 0 to 2.0408
column 62. 48 to 48
column 63. -2.8269 to 10.4105
column 64. 12.9033 to 21.4534
column 65. 1.6473 to 16.3926
column 66. 3.1943 to 8.8386
column 67. 0.46105 to 1.2757
d. Missing Value Code:
5. Data Format
a. Column Type:
column 1. numerical
column 2. numerical
column 3. numerical
column 4. text
column 5. numerical
column 6. numerical
column 7. numerical
column 8. numerical
column 9. numerical
column 10. numerical
column 11. numerical
column 12. numerical
column 13. numerical
column 14. numerical
column 15. numerical
column 16. numerical
column 17. numerical
column 18. numerical
column 19. numerical
column 20. numerical
column 21. numerical
column 22. numerical
column 23. numerical
column 24. numerical
column 25. numerical
column 26. numerical
column 27. numerical
column 28. numerical
column 29. numerical
column 30. numerical
column 31. numerical
column 32. numerical
column 33. numerical
column 34. numerical
column 35. numerical
column 36. numerical
column 37. numerical
column 38. numerical
column 39. numerical
column 40. numerical
column 41. numerical
column 42. numerical
column 43. numerical
column 44. numerical
column 45. numerical
column 46. numerical
column 47. numerical
column 48. numerical
column 49. numerical
column 50. numerical
column 51. numerical
column 52. numerical
column 53. numerical
column 54. numerical
column 55. numerical
column 56. numerical
column 57. numerical
column 58. numerical
column 59. numerical
column 60. numerical
column 61. numerical
column 62. numerical
column 63. numerical
column 64. numerical
column 65. numerical
column 66. numerical
column 67. numerical
b. Number of Columns: 67
c. Decimal Places:
column 1. 0
column 2. 6
column 3. 6
column 4. 0
column 5. 0
column 6. 0
column 7. 0
column 8. 0
column 9. 2
column 10. 0
column 11. 2
column 12. 0
column 13. 3
column 14. 3
column 15. 4
column 16. 4
column 17. 5
column 18. 0
column 19. 2
column 20. 0
column 21. 2
column 22. 0
column 23. 3
column 24. 3
column 25. 4
column 26. 4
column 27. 5
column 28. 0
column 29. 2
column 30. 0
column 31. 2
column 32. 0
column 33. 3
column 34. 3
column 35. 4
column 36. 4
column 37. 5
column 38. 0
column 39. 2
column 40. 0
column 41. 2
column 42. 0
column 43. 3
column 44. 3
column 45. 4
column 46. 4
column 47. 5
column 48. 0
column 49. 2
column 50. 0
column 51. 2
column 52. 0
column 53. 3
column 54. 3
column 55. 4
column 56. 4
column 57. 5
column 58. 0
column 59. 2
column 60. 0
column 61. 2
column 62. 0
column 63. 3
column 64. 3
column 65. 4
column 66. 4
column 67. 5
6. Logical Variable Type:
column 1. nominal (discrete)
column 2. geographic coordinate (continuous)
column 3. geographic coordinate (continuous)
column 4. datetime (none)
column 5. datetime (discrete)
column 6. datetime (discrete)
column 7. datetime (discrete)
column 8. calculation (discrete)
column 9. calculation (continuous)
column 10. calculation (discrete)
column 11. calculation (continuous)
column 12. calculation (discrete)
column 13. calculation (continuous)
column 14. calculation (continuous)
column 15. calculation (continuous)
column 16. calculation (continuous)
column 17. calculation (continuous)
column 18. calculation (discrete)
column 19. calculation (continuous)
column 20. calculation (discrete)
column 21. calculation (continuous)
column 22. calculation (discrete)
column 23. calculation (continuous)
column 24. calculation (continuous)
column 25. calculation (continuous)
column 26. calculation (continuous)
column 27. calculation (continuous)
column 28. calculation (discrete)
column 29. calculation (continuous)
column 30. calculation (discrete)
column 31. calculation (continuous)
column 32. calculation (discrete)
column 33. calculation (continuous)
column 34. calculation (continuous)
column 35. calculation (continuous)
column 36. calculation (continuous)
column 37. calculation (continuous)
column 38. calculation (discrete)
column 39. calculation (continuous)
column 40. calculation (discrete)
column 41. calculation (continuous)
column 42. calculation (discrete)
column 43. calculation (continuous)
column 44. calculation (continuous)
column 45. calculation (continuous)
column 46. calculation (continuous)
column 47. calculation (continuous)
column 48. calculation (discrete)
column 49. calculation (continuous)
column 50. calculation (discrete)
column 51. calculation (continuous)
column 52. calculation (discrete)
column 53. calculation (continuous)
column 54. calculation (continuous)
column 55. calculation (continuous)
column 56. calculation (continuous)
column 57. calculation (continuous)
column 58. calculation (discrete)
column 59. calculation (continuous)
column 60. calculation (discrete)
column 61. calculation (continuous)
column 62. calculation (discrete)
column 63. calculation (continuous)
column 64. calculation (continuous)
column 65. calculation (continuous)
column 66. calculation (continuous)
column 67. calculation (continuous)
7. Flagging Criteria:
column 1. none
column 2. none
column 3. none
column 4. none
column 5. none
column 6. none
column 7. none
column 8. none
column 9. none
column 10. none
column 11. none
column 12. none
column 13.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 14.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 15.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 16.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 17.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 18. none
column 19. none
column 20. none
column 21. none
column 22. none
column 23.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 24.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 25.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 26.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 27.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 28. none
column 29. none
column 30. none
column 31. none
column 32. none
column 33.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 34.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 35.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 36.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 37.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 38. none
column 39. none
column 40. none
column 41. none
column 42. none
column 43.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 44.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 45.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 46.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 47.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 48. none
column 49. none
column 50. none
column 51. none
column 52. none
column 53.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 54.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 55.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 56.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 57.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 58. none
column 59. none
column 60. none
column 61. none
column 62. none
column 63.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 64.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 65.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 66.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 67.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
C. Data Anomalies:
V. Supplemental Descriptors
A. Data Acquisition
1. Data Forms: Copies of CTD cast logs and raw data are maintained at the Georgia Coastal
Ecosystems Information Management Office
2. Form Location: GCE-LTER Information Management Office, Dept. of Marine Sciences,
University of Georgia, Athens, GA 30602
3. Data Entry Validation: not specified
B. Quality Assurance/Quality Control Procedures: QA/QC flags are generated automatically
according to domain criteria specified for each data column, then subsequently reviewed and
revised as appropriate. Coded flag columns are generated for each data column, listing
qualifier flags assigned to the data value on the corresponding row.
C. Supplemental Materials: not applicable
D. Computer Programs: Sea-Bird Electronics Sea-Soft version 4.246, MATLAB version 2013B
E. Archival Practices: Data sets and documentation are stored in structured binary (Matlab 5.x
files) and delimited ASCII text formats, and archived on magnetic tape and CD at the GCE LTER
Information Management Office at the University of Georgia, Athens, Georgia, USA
F. Publications: not specified
G. History of Data Set Usage
1. Data Request History: not specified
2. Data Set Update History: none
3. Review History: none
4. Questions and Comments from Users: none