I. Data Set Descriptors
A. Title: Daniela Di Iorio. 2022. Continuous salinity, temperature and depth measurements from
moored hydrographic data loggers deployed at GCE1_Hydro (Sapelo River near Eulonia, Georgia)
from 01-Jan-2020 through 31-Dec-2020. Georgia Coastal Ecosystems LTER Data Catalog (data set
PHY-GCEM-2111a; http://gce-lter.marsci.uga.edu/data/PHY-GCEM-2111a)
B. Accession Number: PHY-GCEM-2111a
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 GCE1_Hydro (Sapelo River near Eulonia, Georgia)
from 01-Jan-2020 through 31-Dec-2020. 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: Other Site Research
6. Georeferences: geographic coordinates as data columns
7. Submission Date: May 18, 2022
D. Keywords: conductivity, density, depth, GCE, 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 - IV
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: Feb 01, 2019 to Jan 31, 2025
4. Objectives: The GCE-LTER project has four goals. 1) Track environmental and human drivers
that can cause perturbations in our focal ecosystems. This will be accomplished this
through continuing long-term measurements of climate, water chemistry, oceanic exchange,
and human activities on the landscape. 2) Describe temporal and spatial variability in
physical, chemical, geological and biological characteristics of the study system (coastal
wetland complexes) and how they respond to external drivers. This will be accomplished
through field monitoring in combination with remote sensing and modeling. 3) Characterize
the ecological responses of intertidal marshes to disturbance. This will be accomplished
by ongoing monitoring and experimental work to evaluate system responses to major
perturbations in three key marsh habitats (changes in inundation and predator exclusion in
Spartina-dominated salt marshes; increases in salinity in fresh marshes; changes in runoff
in high marshes), by implementing standardized experimental disturbances along salinity
and elevation gradients, and by tracking responses to natural disturbances. 4) Evaluate
ecosystem properties at the landscape level (habitat distribution, net and gross primary
production, C budgets) and assess the cumulative effects of disturbance on these
properties. The project will also develop relationships between drivers and response
variables, which can be used to predict the effects of future changes. This will be
accomplished through a combination of data synthesis, remote sensing and modeling.
5. Abstract: The Georgia Coastal Ecosystems (GCE) Long Term Ecological Research (LTER)
program, based at the University of Georgia Marine Institute on Sapelo Island, Georgia,
was established in 2000 to study long-term change in coastal ecosystems. Estuaries (places
where salt water from the ocean mixes with fresh water from the land) and their adjacent
marshes provide food and refuge for fish, shellfish and birds; protect the shoreline from
storms; help to keep the water clean; and store carbon. The GCE LTER researchers study
marshes and estuaries to understand how these ecosystems function, to track how they
change over time, and to predict how they might be affected by future changes in climate
and human activities. They accomplish this by tracking the major factors that can cause
long-term change in coastal areas (e.g. sea level, rainfall, upstream development), and
measuring the effects of these factors on the study site. They also conduct focused
studies to assess how key marsh habitats will respond to major changes expected in the
future, including large-scale experiments to evaluate the effects of a) increases in the
salinity of the water that floods freshwater marshes (mimicking drought and/or sea level
rise), b) changes in water runoff from land into the upland marsh border (mimicking
drought or upland development), and c) exclusion of larger organisms in the salt marsh
(mimicking long-term declines in predators). During this award they will initiate
additional studies to systematically evaluate how coastal wetlands respond to
disturbances. Disturbances, or disruptions in the environment, are particularly important
to understand in the context of long-term background changes such as increasing sea level,
and GCE researchers are working to assess the cumulative effects of multiple disturbances
on the landscape. The GCE education and outreach program works to share an understanding
of coastal ecosystems with teachers and students, coastal managers, citizen scientist and
the general public.
6. Funding Source: NSF OCE 1832178
B. Sub-project Description
1. Site Description
a. Geographic Location:
GCE-SP -- Sapelo River, Georgia, USA
GCE1_Hydro -- Eulonia hydrographic datalogger deployment
Coordinates:
GCE-SP --
NW: 081 25 55.13 W, 31 33 34.66 N
NE: 081 09 14.84 W, 31 33 34.66 N
SE: 081 09 14.84 W, 31 30 59.89 N
SW: 081 25 55.13 W, 31 30 59.89 N
GCE1_Hydro -- 81 25 26.3 W, 31 32 14.9 N
b. Physiographic Region:
GCE-SP -- Estuary and tidal marsh
GCE1_Hydro -- Estuary and tidal marsh
c. Landform Components:
GCE-SP -- Intertidal marsh bordering sounds, tidal channels and creeks
GCE1_Hydro -- Intertidal marsh bordering sounds, tidal channels and creeks
d. Hydrographic Characteristics:
GCE-SP -- Site includes the Sapelo River and Sapelo Sound, and is subject to 2-3.4m
semi-diurnal tides. Sapelo Sound is a lagunal estuary system, with minimal
freshwater stream or river input.
GCE1_Hydro -- Site includes the Sapelo River and Sapelo Sound, and is subject to 2-3.4m
semi-diurnal tides. Sapelo Sound is a lagunal estuary system, with minimal
freshwater stream or river input.
e. Topographic Attributes:
GCE-SP -- Flat, with elevations ranging from 0-3.4m above mean low tide
GCE1_Hydro -- Flat, with elevations ranging from 0-3.4m above mean low tide
f. Geology, Lithology and Soils:
GCE-SP -- unspecified
GCE1_Hydro -- unspecified
g. Vegetation Communities:
GCE-SP -- unspecified
GCE1_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, 2020
End of Observations: Dec 31, 2020
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).
b. Protocols:
Method 1: none
Method 2: none
Method 3: none
Method 4: none
c. Instrumentation:
Method 1:
Moored CTD datalogger (Sea-Bird Electronics Inc., model MicroCAT 37-SM S/N 9960,
last factory calibration 02-Aug-2019); Moored CTD datalogger (Sea-Bird
Electronics Inc., model MicroCAT 37-SM S/N 16698, last factory calibration
08-Mar-2018); Moored CTD datalogger (Sea-Bird Electronics Inc., model MicroCAT
37-SM S/N 1795, last factory calibration 12-Jun-2015); Moored CTD datalogger
(Sea-Bird Electronics Inc., model MicroCAT 37-SM S/N 2398, last factory
calibration 04-Aug-2020)
SBE MicroCAT 37-SM (S/N 16698)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Mar 08, 2018
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 1795)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Jun 12, 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 2398, with pump)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Aug 04, 2020
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 9960)
Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT)
Last Calibration: Aug 02, 2019
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).
Method 2: none
Method 3: none
Method 4: none
d. Taxonomy and Systematics:
Method 1:
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: Wade M. Sheldon, Jr.
3: Adam Sapp
4: Jacob Shalack
5: Dontrece Smith
6: Elise Kathryn Diehl
7: John Thomas Williams
b. Affiliations:
1: University of Georgia, Athens, Georgia
2: University of Georgia, Athens, Georgia
3: University of Georgia, Athens, Georgia
4: University of Georgia Marine Institute, Sapelo Island, Georgia
5: University of Georgia Marine Institute, Sapelo Island, Georgia
6: University of Georgia Marine Institute, Sapelo Island, GA
7: University of Georgia Marine Institute, Sapelo Island, GA
III. Data Set Status and Accessibility
A. Status
1. Latest Update: 06-Jun-2022
2. Latest Archive Date: 06-Jun-2022
3. Latest Metadata Update: 06-Jun-2022
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: Adam Sapp
Address: Department of Marine Sciences
University of Georgia
Athens, Georgia 30602
Country: USA
Email: asapp@uga.edu
3. Copyright Restrictions: not copyrighted
4. Restrictions: This information is licensed under a Creative Commons Attribution 4.0
International License (see: https://creativecommons.org/licenses/by/4.0/). The consumer of
these data ("Data User" herein) has an ethical obligation 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.
a. Release Date: Affiliates: May 18, 2022, Public: May 18, 2022
b. Citation: Data provided by the Georgia Coastal Ecosystems Long Term Ecological Research
Project, supported by funds from NSF OCE 1832178 (data set PHY-GCEM-2111a)
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-2111a_Daily_1_0.CSV
2. Size: 366 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 3.9.9b (06-Mar-2019)
Data structure version: GCE Data Structure 1.1 (29-Mar-2001)
Original data files processed:
01200260.cnv (6299 records)
01200898.cnv (4662 records)
01201195.asc (3948 records)
012102398.cnv (4705 records)
Data processing history:
25-Feb-2020: data uploaded from SBE 37-SM MicroCAT using SEATERM software version
SeatermV2 2.5.0.153
10-Apr-2020: new GCE Data Structure 1.1 created ('newstruct')
10-Apr-2020: data imported from processed SBE SM-37 sonde data file '01200260.cnv'
(6299 records) ('imp_gcesonde')
10-Apr-2020: deleted column Second from the structure ('deletecols')
10-Apr-2020: 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')
10-Apr-2020: added column 'Instrument' at position 1 ('addcol')
10-Apr-2020: added column 'Latitude' at position 1 ('addcol')
10-Apr-2020: Q/C flagging criteria applied for column(s) Latitude, 'flags' field
updated ('dataflag')
10-Apr-2020: added column 'Longitude' at position 1 ('addcol')
10-Apr-2020: Q/C flagging criteria applied for column(s) Longitude, 'flags' field
updated ('dataflag')
10-Apr-2020: added column 'Site' at position 1 ('addcol')
10-Apr-2020: matched 6299 out of 6299 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)
10-Apr-2020: added column 'Station' at position 2 ('addcol')
10-Apr-2020: Q/C flagging criteria applied for column(s) Station, 'flags' field updated
('dataflag')
10-Apr-2020: added geographic metadata based on matching values in column Station to
location and station names registered in 'geo_locations.mat' ('add_sitemetadata')
10-Apr-2020: updated 8 metadata fields in the Site sections ('addmeta')
10-Apr-2020: added column 'Calibration' at position 18 ('addcol')
10-Apr-2020: Q/C flagging criteria applied for column(s) Calibration, 'flags' field
updated ('dataflag')
10-Apr-2020: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement
sections ('addmeta')
10-Apr-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
10-Apr-2020: edited structure data ('ui_datagrid'): deleted record(s) 6297, 6298 and
6299, deleted record(s) 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 and 15
10-Apr-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
13-Apr-2020: query 'Year==2020' run, returned 2630 of 6281 data rows ('querydata')
13-Apr-2020: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
13-Apr-2020: manually edited data set metadata ('ui_editmetadata')
13-Apr-2020: edited data set title in structure and metadata ('ui_editor')
22-Sep-2020: 4651 rows added at the bottom of the data set from 'Data from Sea-Bird
Electronics 37-SM MicroCAT sonde S/N 16698 deployed at GCE1_Hydro (Eulonia
hydrographic datalogger deployment) from 22-May-2020 to 27-Aug-2020' ('datamerge')
22-Sep-2020: updated 18 metadata fields in the Data, Dataset, Project, Status, Study,
Supplement sections ('addmeta')
22-Sep-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
22-Sep-2020: manually edited data set metadata ('ui_editmetadata')
22-Sep-2020: edited data set title in structure and metadata ('ui_editor')
22-Sep-2020: inserted 4226 new records with date/time values and NaN/null data values
(replicating common values in the non-data columns Site, Station, Longitude,
Latitude, Instrument and Calibration) to fill in date/time interval gaps in the data
series ('pad_date_gaps')
22-Sep-2020: sorted by column Date(ascending) ('sortdata')
22-Sep-2020: 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')
22-Sep-2020: updated 1 metadata fields in the Data sections ('addmeta')
04-Dec-2020: 3942 rows added at the bottom of the data set from 'Data from Sea-Bird
Electronics 37-SM MicroCAT sonde S/N 1795 deployed at GCE1_Hydro (Eulonia
hydrographic datalogger deployment) from 27-Aug-2020 to 17-Nov-2020' ('datamerge')
04-Dec-2020: updated 18 metadata fields in the Data, Dataset, Project, Status, Study,
Supplement sections ('addmeta')
04-Dec-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
04-Dec-2020: manually edited data set metadata ('ui_editmetadata')
04-Dec-2020: edited data set title in structure and metadata ('ui_editor')
04-Dec-2020: 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')
04-Dec-2020: sorted by column Date(ascending) ('sortdata')
04-Dec-2020: 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')
04-Dec-2020: updated 1 metadata fields in the Data sections ('addmeta')
04-Dec-2020: sorted by column Date(ascending) ('sortdata')
04-Dec-2020: 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 9.5
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 12 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Temperature' was updated with a new value ('update_data'):
changed record 11508 from NaN to 31.881
04-Dec-2020: Q/C flagging criteria applied for column(s) Temperature, 'flags' field
updated ('dataflag')
04-Dec-2020: 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 9.5
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 12 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Conductivity' was updated with a new value ('update_data'):
changed record 11508 from NaN to 2.400
04-Dec-2020: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field
updated ('dataflag')
04-Dec-2020: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Pressure' was updated with a new value ('update_data'):
changed record 11508 from NaN to 0.798
04-Dec-2020: Q/C flagging criteria applied for column(s) Pressure, 'flags' field
updated ('dataflag')
04-Dec-2020: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Depth' was updated with a new value ('update_data'): changed
record 11508 from NaN to 0.792
04-Dec-2020: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated
('dataflag')
04-Dec-2020: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Salinity' was updated with a new value ('update_data'):
changed record 11508 from NaN to 12.611
04-Dec-2020: Q/C flagging criteria applied for column(s) Salinity, 'flags' field
updated ('dataflag')
04-Dec-2020: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
04-Dec-2020: 1 value in 'Sigma_t' was updated with a new value ('update_data'):
changed record 11508 from NaN to 4.440
04-Dec-2020: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated
('dataflag')
01-Mar-2021: 4696 rows added at the bottom of the data set from 'Data from Sea-Bird
Electronics 37-SM MicroCAT sonde S/N 2398 deployed at GCE1_Hydro (Eulonia
hydrographic datalogger deployment) from 17-Nov-2020 to 23-Feb-2021' ('datamerge')
01-Mar-2021: updated 19 metadata fields in the Data, Dataset, Project, Status, Study,
Supplement sections ('addmeta')
01-Mar-2021: Q/C flagging criteria applied, 'flags' field updated ('dataflag')
01-Mar-2021: query 'Year==2020' run, returned 17567 of 20146 data rows ('querydata')
01-Mar-2021: automatically assigned study date metadata descriptors based on the range
of date values in date/time columns (add_studydates)
01-Mar-2021: manually edited data set metadata ('ui_editmetadata')
01-Mar-2021: edited data set title in structure and metadata ('ui_editor')
01-Mar-2021: 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')
01-Mar-2021: sorted by column Date(ascending) ('sortdata')
01-Mar-2021: 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')
01-Mar-2021: updated 1 metadata fields in the Data sections ('addmeta')
01-Mar-2021: sorted by column Date(ascending) ('sortdata')
01-Mar-2021: 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 9.5
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 12 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
01-Mar-2021: 1 value in 'Temperature' was updated with a new value ('update_data'):
changed record 15451 from NaN to 19.211
01-Mar-2021: Q/C flagging criteria applied for column(s) Temperature, 'flags' field
updated ('dataflag')
01-Mar-2021: 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 9.5
function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method
option, excluding data gaps with more than 12 consecutive missing values, and
flagging the estimated values as 'E' ('interp_missing')
01-Mar-2021: 2 values in 'Conductivity' were updated with new values ('update_data'):
changed record 15451 from NaN to 2.435, changed record 17568 from 0.944 to 0.944
01-Mar-2021: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field
updated ('dataflag')
01-Mar-2021: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
01-Mar-2021: 1 value in 'Pressure' was updated with a new value ('update_data'):
changed record 15451 from NaN to 0.752
01-Mar-2021: Q/C flagging criteria applied for column(s) Pressure, 'flags' field
updated ('dataflag')
01-Mar-2021: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
01-Mar-2021: 1 value in 'Depth' was updated with a new value ('update_data'): changed
record 15451 from NaN to 0.747
01-Mar-2021: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated
('dataflag')
01-Mar-2021: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
01-Mar-2021: 1 value in 'Salinity' was updated with a new value ('update_data'):
changed record 15451 from NaN to 16.854
01-Mar-2021: Q/C flagging criteria applied for column(s) Salinity, 'flags' field
updated ('dataflag')
01-Mar-2021: 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 9.5 function
'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option,
excluding data gaps with more than 12 consecutive missing values, and flagging the
estimated values as 'E' ('interp_missing')
01-Mar-2021: 1 value in 'Sigma_t' was updated with a new value ('update_data'):
changed record 15451 from NaN to 11.159
01-Mar-2021: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated
('dataflag')
01-Mar-2021: documented flagged and missing values in columns Instrument, Temperature,
Conductivity, Pressure, Depth, Salinity, Sigma_t and Pump as data set anomalies in
the metadata ('add_anomalies')
01-Mar-2021: documented flagged and missing values in columns Temperature,
Conductivity, Pressure, Depth, Salinity and Sigma_t as data set anomalies in the
metadata ('add_anomalies')
17-May-2022: query 'Year=2020' run, returned 17568 of 17568 data rows ('querydata')
17-May-2022: 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')
17-May-2022: imported all documentation metadata from the template 'GCE_Sonde',
retaining existing attribute descriptors for all columns ('meta_template')
17-May-2022: updated 41 metadata fields in the Data, Dataset, Project, Site, Status,
Study, Supplement sections ('addmeta')
17-May-2022: updated title ('newtitle')
17-May-2022: added geographic metadata based on matching values in column Station to
location and station names registered in 'geo_locations.mat' ('add_sitemetadata')
17-May-2022: updated 8 metadata fields in the Site sections ('addmeta')
17-May-2022: updated title ('newtitle')
17-May-2022: updated 1 metadata fields in the Dataset sections ('addmeta')
04-Jun-2022: query 'Year=2020' run, returned 17568 of 17568 data rows ('querydata')
04-Jun-2022: 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')
04-Jun-2022: imported all documentation metadata from the template 'GCE_Sonde',
retaining existing attribute descriptors for all columns ('meta_template')
04-Jun-2022: updated 41 metadata fields in the Data, Dataset, Project, Site, Status,
Study, Supplement sections ('addmeta')
04-Jun-2022: updated title ('newtitle')
04-Jun-2022: added geographic metadata based on matching values in column Station to
location and station names registered in 'geo_locations.mat' ('add_sitemetadata')
04-Jun-2022: updated 8 metadata fields in the Site sections ('addmeta')
04-Jun-2022: updated title ('newtitle')
04-Jun-2022: updated 1 metadata fields in the Dataset sections ('addmeta')
04-Jun-2022: performed daily statistical aggregation on data columns Temperature,
Conductivity, Pressure, Depth, Salinity and Sigma_t by grouping on columns Site,
Station, Longitude, Latitude, Year, Month and Day (aggr_datetime)
04-Jun-2022: updated title ('newtitle')
04-Jun-2022: updated 1 metadata fields in the Dataset sections ('addmeta')
04-Jun-2022: 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 5 ('add_datecol')
04-Jun-2022: documented flagged and missing values in columns Daily_Min_Temperature,
Daily_Max_Temperature, Daily_Mean_Temperature, Daily_StdDev_Temperature,
Daily_SE_Temperature, Daily_Min_Conductivity, Daily_Max_Conductivity,
Daily_Mean_Conductivity, Daily_StdDev_Conductivity, Daily_SE_Conductivity,
Daily_Min_Pressure, Daily_Max_Pressure, Daily_Mean_Pressure, Daily_StdDev_Pressure,
Daily_SE_Pressure, Daily_Min_Depth, Daily_Max_Depth, Daily_Mean_Depth,
Daily_StdDev_Depth, Daily_SE_Depth, Daily_Min_Salinity, Daily_Max_Salinity,
Daily_Mean_Salinity, Daily_StdDev_Salinity, Daily_SE_Salinity, Daily_Min_Sigma_t,
Daily_Max_Sigma_t, Daily_Mean_Sigma_t, Daily_StdDev_Sigma_t and Daily_SE_Sigma_t as
data set anomalies in the metadata ('add_anomalies')
04-Jun-2022: sorted by column Date(ascending) ('sortdata')
04-Jun-2022: converted values in all columns assigned QA/QC flag(s) I (invalid value
(out of range)) to NaN/empty: Daily_Min_Temperature record(s) 56, 57, 58, 59, 60,
61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101,
102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118,
119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135,
136, 137, 138, 139, 140, 141, 142 and 143, Daily_Max_Temperature record(s) 56, 57,
58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,
100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133,
134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_Mean_Temperature
record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73,
74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94,
95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,
113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143,
Daily_StdDev_Temperature record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,
89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107,
108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124,
125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141,
142 and 143, Daily_SE_Temperature record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86,
87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105,
106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122,
123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,
140, 141, 142 and 143, Daily_Min_Conductivity record(s) 56, 57, 58, 59, 60, 61, 62,
63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137,
138, 139, 140, 141, 142 and 143, Daily_Max_Conductivity record(s) 56, 57, 58, 59,
60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80,
81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100,
101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117,
118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134,
135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_Mean_Conductivity record(s)
56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143,
Daily_StdDev_Conductivity record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67,
68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88,
89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107,
108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124,
125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141,
142 and 143, Daily_SE_Conductivity record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86,
87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105,
106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122,
123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,
140, 141, 142 and 143, Daily_Min_Pressure record(s) 56, 57, 58, 59, 60, 61, 62, 63,
64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104,
105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121,
122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138,
139, 140, 141, 142 and 143, Daily_Max_Pressure record(s) 56, 57, 58, 59, 60, 61, 62,
63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137,
138, 139, 140, 141, 142 and 143, Daily_Mean_Pressure record(s) 56, 57, 58, 59, 60,
61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101,
102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118,
119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135,
136, 137, 138, 139, 140, 141, 142 and 143, Daily_StdDev_Pressure record(s) 56, 57,
58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,
100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133,
134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_SE_Pressure record(s) 56,
57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115,
116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132,
133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_Min_Depth record(s)
56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97,
98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114,
115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_Max_Depth
record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73,
74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94,
95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,
113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143,
Daily_Mean_Depth record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,
70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,
91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108,
109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,
126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142
and 143, Daily_StdDev_Depth record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66,
67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87,
88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106,
107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123,
124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140,
141, 142 and 143, Daily_SE_Depth record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86,
87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105,
106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122,
123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139,
140, 141, 142 and 143, Daily_Min_Salinity record(s) 56, 57, 58, 59, 60, 61, 62, 63,
64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84,
85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104,
105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121,
122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138,
139, 140, 141, 142 and 143, Daily_Max_Salinity record(s) 56, 57, 58, 59, 60, 61, 62,
63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137,
138, 139, 140, 141, 142 and 143, Daily_Mean_Salinity record(s) 56, 57, 58, 59, 60,
61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81,
82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101,
102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118,
119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135,
136, 137, 138, 139, 140, 141, 142 and 143, Daily_StdDev_Salinity record(s) 56, 57,
58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78,
79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99,
100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,
117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133,
134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_SE_Salinity record(s) 56,
57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,
78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115,
116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132,
133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143, Daily_Min_Sigma_t
record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73,
74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94,
95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112,
113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,
130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142 and 143,
Daily_Max_Sigma_t record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69,
70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,
91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108,
109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125,
126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142
and 143, Daily_Mean_Sigma_t record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66,
67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87,
88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106,
107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123,
124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140,
141, 142 and 143, Daily_StdDev_Sigma_t record(s) 56, 57, 58, 59, 60, 61, 62, 63, 64,
65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85,
86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104,
105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121,
122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138,
139, 140, 141, 142 and 143, Daily_SE_Sigma_t record(s) 56, 57, 58, 59, 60, 61, 62,
63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,
104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137,
138, 139, 140, 141, 142 and 143 ('nullflags')
04-Jun-2022: updated 1 metadata fields in the Study sections ('addmeta')
06-Jun-2022: updated 1 metadata fields in the Dataset sections ('addmeta')
06-Jun-2022: imported Dataset, Project, Site, Study, Status, Supplement metadata
descriptors from the GCE Metabase ('imp_gcemetadata')
06-Jun-2022: updated 57 metadata fields in the Dataset, Project, Site, Status, Study,
Supplement sections ('addmeta')
06-Jun-2022: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS
06-Jun-2022: flags for columns Daily_Min_Temperature, Daily_Max_Temperature,
Daily_Mean_Temperature, Daily_StdDev_Temperature, Daily_SE_Temperature,
Daily_Min_Conductivity, Daily_Max_Conductivity, Daily_Mean_Conductivity,
Daily_StdDev_Conductivity, Daily_SE_Conductivity, Daily_Min_Pressure,
Daily_Max_Pressure, Daily_Mean_Pressure, Daily_StdDev_Pressure, Daily_SE_Pressure,
Daily_Min_Depth, Daily_Max_Depth, Daily_Mean_Depth, Daily_StdDev_Depth,
Daily_SE_Depth, Daily_Min_Salinity, Daily_Max_Salinity, Daily_Mean_Salinity,
Daily_StdDev_Salinity, Daily_SE_Salinity, Daily_Min_Sigma_t, Daily_Max_Sigma_t,
Daily_Mean_Sigma_t, Daily_StdDev_Sigma_t and Daily_SE_Sigma_t converted to data
columns, flag codes updated in metadata ('flags2cols')
06-Jun-2022: updated 6 metadata fields in the Data sections ('addmeta')
06-Jun-2022: updated 15 metadata fields in the Status, Data sections to reflect
attribute metadata ('updatecols')
06-Jun-2022: parsed and formatted metadata ('listmeta')
B. Variable Information
1. Variable Name:
column 1. Site
column 2. Station
column 3. Longitude
column 4. Latitude
column 5. Date
column 6. Year
column 7. Month
column 8. Day
column 9. Missing_Temperature
column 10. Percent_Missing_Temperature
column 11. Flagged_Temperature
column 12. Percent_Flagged_Temperature
column 13. Daily_Num_Temperature
column 14. Daily_Min_Temperature
column 15. Flag_Daily_Min_Temperature
column 16. Daily_Max_Temperature
column 17. Flag_Daily_Max_Temperature
column 18. Daily_Mean_Temperature
column 19. Flag_Daily_Mean_Temperature
column 20. Daily_StdDev_Temperature
column 21. Flag_Daily_StdDev_Temperature
column 22. Daily_SE_Temperature
column 23. Flag_Daily_SE_Temperature
column 24. Missing_Conductivity
column 25. Percent_Missing_Conductivity
column 26. Flagged_Conductivity
column 27. Percent_Flagged_Conductivity
column 28. Daily_Num_Conductivity
column 29. Daily_Min_Conductivity
column 30. Flag_Daily_Min_Conductivity
column 31. Daily_Max_Conductivity
column 32. Flag_Daily_Max_Conductivity
column 33. Daily_Mean_Conductivity
column 34. Flag_Daily_Mean_Conductivity
column 35. Daily_StdDev_Conductivity
column 36. Flag_Daily_StdDev_Conductivity
column 37. Daily_SE_Conductivity
column 38. Flag_Daily_SE_Conductivity
column 39. Missing_Pressure
column 40. Percent_Missing_Pressure
column 41. Flagged_Pressure
column 42. Percent_Flagged_Pressure
column 43. Daily_Num_Pressure
column 44. Daily_Min_Pressure
column 45. Flag_Daily_Min_Pressure
column 46. Daily_Max_Pressure
column 47. Flag_Daily_Max_Pressure
column 48. Daily_Mean_Pressure
column 49. Flag_Daily_Mean_Pressure
column 50. Daily_StdDev_Pressure
column 51. Flag_Daily_StdDev_Pressure
column 52. Daily_SE_Pressure
column 53. Flag_Daily_SE_Pressure
column 54. Missing_Depth
column 55. Percent_Missing_Depth
column 56. Flagged_Depth
column 57. Percent_Flagged_Depth
column 58. Daily_Num_Depth
column 59. Daily_Min_Depth
column 60. Flag_Daily_Min_Depth
column 61. Daily_Max_Depth
column 62. Flag_Daily_Max_Depth
column 63. Daily_Mean_Depth
column 64. Flag_Daily_Mean_Depth
column 65. Daily_StdDev_Depth
column 66. Flag_Daily_StdDev_Depth
column 67. Daily_SE_Depth
column 68. Flag_Daily_SE_Depth
column 69. Missing_Salinity
column 70. Percent_Missing_Salinity
column 71. Flagged_Salinity
column 72. Percent_Flagged_Salinity
column 73. Daily_Num_Salinity
column 74. Daily_Min_Salinity
column 75. Flag_Daily_Min_Salinity
column 76. Daily_Max_Salinity
column 77. Flag_Daily_Max_Salinity
column 78. Daily_Mean_Salinity
column 79. Flag_Daily_Mean_Salinity
column 80. Daily_StdDev_Salinity
column 81. Flag_Daily_StdDev_Salinity
column 82. Daily_SE_Salinity
column 83. Flag_Daily_SE_Salinity
column 84. Missing_Sigma_t
column 85. Percent_Missing_Sigma_t
column 86. Flagged_Sigma_t
column 87. Percent_Flagged_Sigma_t
column 88. Daily_Num_Sigma_t
column 89. Daily_Min_Sigma_t
column 90. Flag_Daily_Min_Sigma_t
column 91. Daily_Max_Sigma_t
column 92. Flag_Daily_Max_Sigma_t
column 93. Daily_Mean_Sigma_t
column 94. Flag_Daily_Mean_Sigma_t
column 95. Daily_StdDev_Sigma_t
column 96. Flag_Daily_StdDev_Sigma_t
column 97. Daily_SE_Sigma_t
column 98. Flag_Daily_SE_Sigma_t
2. Variable Definition:
column 1. Nearest nominal GCE-LTER sampling site
column 2. Station determined by geographic database lookup of coordinates in columns
Latitude and Longitude using a distance tolerance of 0.5km from registered station
location
column 3. Geographic longitude in decimal degrees
column 4. Geographic latitude in decimal degrees
column 5. Fractional MATLAB serial day (based on 1 = January 1, 0000)
column 6. Calendar year
column 7. Calendar month
column 8. Calendar day
column 9. Number of missing observations of Water temperature
column 10. Percent missing observations of Water temperature
column 11. Number of QC/QA-flagged observations of Water temperature
column 12. Percent QC/QA-flagged observations of Water temperature
column 13. Daily Observations of Water temperature
column 14. Daily Minimum Water temperature
column 15. QA/QC flags for Daily Minimum Water temperature (flagging criteria, where "x"
is Daily_Min_Temperature: Percent_Missing_Temperature>35="I",
Percent_Missing_Temperature>15="Q", Percent_Flagged_Temperature>35="Q")
column 16. Daily Maximum Water temperature
column 17. QA/QC flags for Daily Maximum Water temperature (flagging criteria, where "x"
is Daily_Max_Temperature: Percent_Missing_Temperature>35="I",
Percent_Missing_Temperature>15="Q", Percent_Flagged_Temperature>35="Q")
column 18. Daily Mean Water temperature
column 19. QA/QC flags for Daily Mean Water temperature (flagging criteria, where "x" is
Daily_Mean_Temperature: Percent_Missing_Temperature>35="I",
Percent_Missing_Temperature>15="Q", Percent_Flagged_Temperature>35="Q")
column 20. Daily Sample Standard Deviation of Water temperature
column 21. QA/QC flags for Daily Sample Standard Deviation of Water temperature (flagging
criteria, where "x" is Daily_StdDev_Temperature: Percent_Missing_Temperature>35="I",
Percent_Missing_Temperature>15="Q", Percent_Flagged_Temperature>35="Q")
column 22. Daily Standard Error of Water temperature
column 23. QA/QC flags for Daily Standard Error of Water temperature (flagging criteria,
where "x" is Daily_SE_Temperature: Percent_Missing_Temperature>35="I",
Percent_Missing_Temperature>15="Q", Percent_Flagged_Temperature>35="Q")
column 24. Number of missing observations of Conductivity
column 25. Percent missing observations of Conductivity
column 26. Number of QC/QA-flagged observations of Conductivity
column 27. Percent QC/QA-flagged observations of Conductivity
column 28. Daily Observations of Conductivity
column 29. Daily Minimum Conductivity
column 30. QA/QC flags for Daily Minimum Conductivity (flagging criteria, where "x" is
Daily_Min_Conductivity: Percent_Missing_Conductivity>35="I",
Percent_Missing_Conductivity>15="Q", Percent_Flagged_Conductivity>35="Q")
column 31. Daily Maximum Conductivity
column 32. QA/QC flags for Daily Maximum Conductivity (flagging criteria, where "x" is
Daily_Max_Conductivity: Percent_Missing_Conductivity>35="I",
Percent_Missing_Conductivity>15="Q", Percent_Flagged_Conductivity>35="Q")
column 33. Daily Mean Conductivity
column 34. QA/QC flags for Daily Mean Conductivity (flagging criteria, where "x" is
Daily_Mean_Conductivity: Percent_Missing_Conductivity>35="I",
Percent_Missing_Conductivity>15="Q", Percent_Flagged_Conductivity>35="Q")
column 35. Daily Sample Standard Deviation of Conductivity
column 36. QA/QC flags for Daily Sample Standard Deviation of Conductivity (flagging
criteria, where "x" is Daily_StdDev_Conductivity: Percent_Missing_Conductivity>35="I",
Percent_Missing_Conductivity>15="Q", Percent_Flagged_Conductivity>35="Q")
column 37. Daily Standard Error of Conductivity
column 38. QA/QC flags for Daily Standard Error of Conductivity (flagging criteria, where
"x" is Daily_SE_Conductivity: Percent_Missing_Conductivity>35="I",
Percent_Missing_Conductivity>15="Q", Percent_Flagged_Conductivity>35="Q")
column 39. Number of missing observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 40. Percent missing observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 41. Number of QC/QA-flagged observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 42. Percent QC/QA-flagged observations of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 43. Daily Observations of Water pressure at sensor (approximately equivalent to
water depth within 3% error)
column 44. Daily Minimum Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 45. QA/QC flags for Daily Minimum Water pressure at sensor (approximately
equivalent to water depth within 3% error) (flagging criteria, where "x" is
Daily_Min_Pressure: Percent_Missing_Pressure>35="I", Percent_Missing_Pressure>15="Q",
Percent_Flagged_Pressure>35="Q")
column 46. Daily Maximum Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 47. QA/QC flags for Daily Maximum Water pressure at sensor (approximately
equivalent to water depth within 3% error) (flagging criteria, where "x" is
Daily_Max_Pressure: Percent_Missing_Pressure>35="I", Percent_Missing_Pressure>15="Q",
Percent_Flagged_Pressure>35="Q")
column 48. Daily Mean Water pressure at sensor (approximately equivalent to water depth
within 3% error)
column 49. QA/QC flags for Daily Mean Water pressure at sensor (approximately equivalent
to water depth within 3% error) (flagging criteria, where "x" is Daily_Mean_Pressure:
Percent_Missing_Pressure>35="I", Percent_Missing_Pressure>15="Q",
Percent_Flagged_Pressure>35="Q")
column 50. Daily Sample Standard Deviation of Water pressure at sensor (approximately
equivalent to water depth within 3% error)
column 51. QA/QC flags for Daily Sample Standard Deviation of Water pressure at sensor
(approximately equivalent to water depth within 3% error) (flagging criteria, where "x"
is Daily_StdDev_Pressure: Percent_Missing_Pressure>35="I",
Percent_Missing_Pressure>15="Q", Percent_Flagged_Pressure>35="Q")
column 52. Daily Standard Error of Water pressure at sensor (approximately equivalent to
water depth within 3% error)
column 53. QA/QC flags for Daily Standard Error of Water pressure at sensor (approximately
equivalent to water depth within 3% error) (flagging criteria, where "x" is
Daily_SE_Pressure: Percent_Missing_Pressure>35="I", Percent_Missing_Pressure>15="Q",
Percent_Flagged_Pressure>35="Q")
column 54. Number of missing observations of Water depth to the pressure sensor of the
moored sonde
column 55. Percent missing observations of Water depth to the pressure sensor of the
moored sonde
column 56. Number of QC/QA-flagged observations of Water depth to the pressure sensor of
the moored sonde
column 57. Percent QC/QA-flagged observations of Water depth to the pressure sensor of the
moored sonde
column 58. Daily Observations of Water depth to the pressure sensor of the moored sonde
column 59. Daily Minimum Water depth to the pressure sensor of the moored sonde
column 60. QA/QC flags for Daily Minimum Water depth to the pressure sensor of the moored
sonde (flagging criteria, where "x" is Daily_Min_Depth: Percent_Missing_Depth>35="I",
Percent_Missing_Depth>15="Q", Percent_Flagged_Depth>35="Q")
column 61. Daily Maximum Water depth to the pressure sensor of the moored sonde
column 62. QA/QC flags for Daily Maximum Water depth to the pressure sensor of the moored
sonde (flagging criteria, where "x" is Daily_Max_Depth: Percent_Missing_Depth>35="I",
Percent_Missing_Depth>15="Q", Percent_Flagged_Depth>35="Q")
column 63. Daily Mean Water depth to the pressure sensor of the moored sonde
column 64. QA/QC flags for Daily Mean Water depth to the pressure sensor of the moored
sonde (flagging criteria, where "x" is Daily_Mean_Depth: Percent_Missing_Depth>35="I",
Percent_Missing_Depth>15="Q", Percent_Flagged_Depth>35="Q")
column 65. Daily Sample Standard Deviation of Water depth to the pressure sensor of the
moored sonde
column 66. QA/QC flags for Daily Sample Standard Deviation of Water depth to the pressure
sensor of the moored sonde (flagging criteria, where "x" is Daily_StdDev_Depth:
Percent_Missing_Depth>35="I", Percent_Missing_Depth>15="Q",
Percent_Flagged_Depth>35="Q")
column 67. Daily Standard Error of Water depth to the pressure sensor of the moored sonde
column 68. QA/QC flags for Daily Standard Error of Water depth to the pressure sensor of
the moored sonde (flagging criteria, where "x" is Daily_SE_Depth:
Percent_Missing_Depth>35="I", Percent_Missing_Depth>15="Q",
Percent_Flagged_Depth>35="Q")
column 69. Number of missing observations of Salinity
column 70. Percent missing observations of Salinity
column 71. Number of QC/QA-flagged observations of Salinity
column 72. Percent QC/QA-flagged observations of Salinity
column 73. Daily Observations of Salinity
column 74. Daily Minimum Salinity
column 75. QA/QC flags for Daily Minimum Salinity (flagging criteria, where "x" is
Daily_Min_Salinity: Percent_Missing_Salinity>35="I", Percent_Missing_Salinity>15="Q",
Percent_Flagged_Salinity>35="Q")
column 76. Daily Maximum Salinity
column 77. QA/QC flags for Daily Maximum Salinity (flagging criteria, where "x" is
Daily_Max_Salinity: Percent_Missing_Salinity>35="I", Percent_Missing_Salinity>15="Q",
Percent_Flagged_Salinity>35="Q")
column 78. Daily Mean Salinity
column 79. QA/QC flags for Daily Mean Salinity (flagging criteria, where "x" is
Daily_Mean_Salinity: Percent_Missing_Salinity>35="I", Percent_Missing_Salinity>15="Q",
Percent_Flagged_Salinity>35="Q")
column 80. Daily Sample Standard Deviation of Salinity
column 81. QA/QC flags for Daily Sample Standard Deviation of Salinity (flagging criteria,
where "x" is Daily_StdDev_Salinity: Percent_Missing_Salinity>35="I",
Percent_Missing_Salinity>15="Q", Percent_Flagged_Salinity>35="Q")
column 82. Daily Standard Error of Salinity
column 83. QA/QC flags for Daily Standard Error of Salinity (flagging criteria, where "x"
is Daily_SE_Salinity: Percent_Missing_Salinity>35="I", Percent_Missing_Salinity>15="Q",
Percent_Flagged_Salinity>35="Q")
column 84. Number of missing observations of Sigma-t (i.e. Density-1)
column 85. Percent missing observations of Sigma-t (i.e. Density-1)
column 86. Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1)
column 87. Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1)
column 88. Daily Observations of Sigma-t (i.e. Density-1)
column 89. Daily Minimum Sigma-t (i.e. Density-1)
column 90. QA/QC flags for Daily Minimum Sigma-t (i.e. Density-1) (flagging criteria,
where "x" is Daily_Min_Sigma_t: Percent_Missing_Sigma_t>35="I",
Percent_Missing_Sigma_t>15="Q", Percent_Flagged_Sigma_t>35="Q")
column 91. Daily Maximum Sigma-t (i.e. Density-1)
column 92. QA/QC flags for Daily Maximum Sigma-t (i.e. Density-1) (flagging criteria,
where "x" is Daily_Max_Sigma_t: Percent_Missing_Sigma_t>35="I",
Percent_Missing_Sigma_t>15="Q", Percent_Flagged_Sigma_t>35="Q")
column 93. Daily Mean Sigma-t (i.e. Density-1)
column 94. QA/QC flags for Daily Mean Sigma-t (i.e. Density-1) (flagging criteria, where
"x" is Daily_Mean_Sigma_t: Percent_Missing_Sigma_t>35="I",
Percent_Missing_Sigma_t>15="Q", Percent_Flagged_Sigma_t>35="Q")
column 95. Daily Sample Standard Deviation of Sigma-t (i.e. Density-1)
column 96. QA/QC flags for Daily Sample Standard Deviation of Sigma-t (i.e. Density-1)
(flagging criteria, where "x" is Daily_StdDev_Sigma_t: Percent_Missing_Sigma_t>35="I",
Percent_Missing_Sigma_t>15="Q", Percent_Flagged_Sigma_t>35="Q")
column 97. Daily Standard Error of Sigma-t (i.e. Density-1)
column 98. QA/QC flags for Daily Standard Error of Sigma-t (i.e. Density-1) (flagging
criteria, where "x" is Daily_SE_Sigma_t: Percent_Missing_Sigma_t>35="I",
Percent_Missing_Sigma_t>15="Q", Percent_Flagged_Sigma_t>35="Q")
3. Units of Measurement:
column 1. none
column 2. none
column 3. degrees
column 4. degrees
column 5. yyyy-mm-dd HH:MM:SS
column 6. YYYY
column 7. MM
column 8. DD
column 9. count
column 10. %
column 11. count
column 12. %
column 13. count
column 14. °C
column 15. none
column 16. °C
column 17. none
column 18. °C
column 19. none
column 20. °C
column 21. none
column 22. °C
column 23. none
column 24. count
column 25. %
column 26. count
column 27. %
column 28. count
column 29. S/m
column 30. none
column 31. S/m
column 32. none
column 33. S/m
column 34. none
column 35. S/m
column 36. none
column 37. S/m
column 38. none
column 39. count
column 40. %
column 41. count
column 42. %
column 43. count
column 44. dbar
column 45. none
column 46. dbar
column 47. none
column 48. dbar
column 49. none
column 50. dbar
column 51. none
column 52. dbar
column 53. none
column 54. count
column 55. %
column 56. count
column 57. %
column 58. count
column 59. m
column 60. none
column 61. m
column 62. none
column 63. m
column 64. none
column 65. m
column 66. none
column 67. m
column 68. none
column 69. count
column 70. %
column 71. count
column 72. %
column 73. count
column 74. PSU
column 75. none
column 76. PSU
column 77. none
column 78. PSU
column 79. none
column 80. PSU
column 81. none
column 82. PSU
column 83. none
column 84. count
column 85. %
column 86. count
column 87. %
column 88. count
column 89. kg/m^3
column 90. none
column 91. kg/m^3
column 92. none
column 93. kg/m^3
column 94. none
column 95. kg/m^3
column 96. none
column 97. kg/m^3
column 98. none
4. Data Type
a. Storage Type:
column 1. integer
column 2. string
column 3. floating-point
column 4. floating-point
column 5. string
column 6. integer
column 7. integer
column 8. integer
column 9. integer
column 10. floating-point
column 11. integer
column 12. floating-point
column 13. integer
column 14. floating-point
column 15. string
column 16. floating-point
column 17. string
column 18. floating-point
column 19. string
column 20. floating-point
column 21. string
column 22. floating-point
column 23. string
column 24. integer
column 25. floating-point
column 26. integer
column 27. floating-point
column 28. integer
column 29. floating-point
column 30. string
column 31. floating-point
column 32. string
column 33. floating-point
column 34. string
column 35. floating-point
column 36. string
column 37. floating-point
column 38. string
column 39. integer
column 40. floating-point
column 41. integer
column 42. floating-point
column 43. integer
column 44. floating-point
column 45. string
column 46. floating-point
column 47. string
column 48. floating-point
column 49. string
column 50. floating-point
column 51. string
column 52. floating-point
column 53. string
column 54. integer
column 55. floating-point
column 56. integer
column 57. floating-point
column 58. integer
column 59. floating-point
column 60. string
column 61. floating-point
column 62. string
column 63. floating-point
column 64. string
column 65. floating-point
column 66. string
column 67. floating-point
column 68. string
column 69. integer
column 70. floating-point
column 71. integer
column 72. floating-point
column 73. integer
column 74. floating-point
column 75. string
column 76. floating-point
column 77. string
column 78. floating-point
column 79. string
column 80. floating-point
column 81. string
column 82. floating-point
column 83. string
column 84. integer
column 85. floating-point
column 86. integer
column 87. floating-point
column 88. integer
column 89. floating-point
column 90. string
column 91. floating-point
column 92. string
column 93. floating-point
column 94. string
column 95. floating-point
column 96. string
column 97. floating-point
column 98. string
b. Variable Codes:
Flag_Daily_Min_Temperature: Q = questionable value
Flag_Daily_Max_Temperature: Q = questionable value
Flag_Daily_Mean_Temperature: Q = questionable value
Flag_Daily_StdDev_Temperature: Q = questionable value
Flag_Daily_SE_Temperature: Q = questionable value
Flag_Daily_Min_Conductivity: Q = questionable value
Flag_Daily_Max_Conductivity: Q = questionable value
Flag_Daily_Mean_Conductivity: Q = questionable value
Flag_Daily_StdDev_Conductivity: Q = questionable value
Flag_Daily_SE_Conductivity: Q = questionable value
Flag_Daily_Min_Pressure: Q = questionable value
Flag_Daily_Max_Pressure: Q = questionable value
Flag_Daily_Mean_Pressure: Q = questionable value
Flag_Daily_StdDev_Pressure: Q = questionable value
Flag_Daily_SE_Pressure: Q = questionable value
Flag_Daily_Min_Depth: Q = questionable value
Flag_Daily_Max_Depth: Q = questionable value
Flag_Daily_Mean_Depth: Q = questionable value
Flag_Daily_StdDev_Depth: Q = questionable value
Flag_Daily_SE_Depth: Q = questionable value
Flag_Daily_Min_Salinity: Q = questionable value
Flag_Daily_Max_Salinity: Q = questionable value
Flag_Daily_Mean_Salinity: Q = questionable value
Flag_Daily_StdDev_Salinity: Q = questionable value
Flag_Daily_SE_Salinity: Q = questionable value
Flag_Daily_Min_Sigma_t: Q = questionable value
Flag_Daily_Max_Sigma_t: Q = questionable value
Flag_Daily_Mean_Sigma_t: Q = questionable value
Flag_Daily_StdDev_Sigma_t: Q = questionable value
Flag_Daily_SE_Sigma_t: Q = questionable value
c. Numeric Range:
column 1. 1 to 1
column 2. (none)
column 3. -81.424 to -81.424
column 4. 31.5375 to 31.5375
column 5. (none)
column 6. 2020 to 2020
column 7. 1 to 12
column 8. 1 to 31
column 9. 0 to 48
column 10. 0 to 100
column 11. 0 to 1
column 12. 0 to 2.0408
column 13. 0 to 48
column 14. 7.2792 to 30.9901
column 15. (none)
column 16. 9.7959 to 34.2558
column 17. (none)
column 18. 8.7094 to 32.1898
column 19. (none)
column 20. 0.195 to 1.7947
column 21. (none)
column 22. 0.028146 to 0.25905
column 23. (none)
column 24. 0 to 48
column 25. 0 to 100
column 26. 0 to 1
column 27. 0 to 2.0408
column 28. 0 to 48
column 29. 0.019521 to 3.5545
column 30. (none)
column 31. 0.079851 to 4.8175
column 32. (none)
column 33. 0.044957 to 4.4093
column 34. (none)
column 35. 0.016981 to 1.2389
column 36. (none)
column 37. 0.002451 to 0.17882
column 38. (none)
column 39. 0 to 48
column 40. 0 to 100
column 41. 0 to 1
column 42. 0 to 2.0408
column 43. 0 to 48
column 44. 0.308 to 0.838
column 45. (none)
column 46. 0.645 to 0.978
column 47. (none)
column 48. 0.58131 to 0.9301
column 49. (none)
column 50. 0.010193 to 0.098673
column 51. (none)
column 52. 0.0014712 to 0.014242
column 53. (none)
column 54. 0 to 48
column 55. 0 to 100
column 56. 0 to 1
column 57. 0 to 2.0408
column 58. 0 to 48
column 59. 0.30587 to 0.83219
column 60. (none)
column 61. 0.64053 to 0.97122
column 62. (none)
column 63. 0.57728 to 0.92366
column 64. (none)
column 65. 0.010122 to 0.097989
column 66. (none)
column 67. 0.001461 to 0.014143
column 68. (none)
column 69. 0 to 48
column 70. 0 to 100
column 71. 0 to 1
column 72. 0 to 2.0408
column 73. 0 to 48
column 74. 0.10907 to 19.7674
column 75. (none)
column 76. 0.5067 to 27.7106
column 77. (none)
column 78. 0.28285 to 25.5706
column 79. (none)
column 80. 0.10758 to 7.4548
column 81. (none)
column 82. 0.015527 to 1.076
column 83. (none)
column 84. 0 to 48
column 85. 0 to 100
column 86. 0 to 1
column 87. 0 to 2.0408
column 88. 0 to 48
column 89. -3.9242 to 10.8514
column 90. (none)
column 91. -1.5055 to 18.5731
column 92. (none)
column 93. -2.7388 to 16.2274
column 94. (none)
column 95. 0.073837 to 5.3716
column 96. (none)
column 97. 0.010657 to 0.77533
column 98. (none)
d. Missing Value Code:
5. Data Format
a. Column Type:
column 1. numerical
column 2. text
column 3. numerical
column 4. numerical
column 5. text
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. text
column 16. numerical
column 17. text
column 18. numerical
column 19. text
column 20. numerical
column 21. text
column 22. numerical
column 23. text
column 24. numerical
column 25. numerical
column 26. numerical
column 27. numerical
column 28. numerical
column 29. numerical
column 30. text
column 31. numerical
column 32. text
column 33. numerical
column 34. text
column 35. numerical
column 36. text
column 37. numerical
column 38. text
column 39. numerical
column 40. numerical
column 41. numerical
column 42. numerical
column 43. numerical
column 44. numerical
column 45. text
column 46. numerical
column 47. text
column 48. numerical
column 49. text
column 50. numerical
column 51. text
column 52. numerical
column 53. text
column 54. numerical
column 55. numerical
column 56. numerical
column 57. numerical
column 58. numerical
column 59. numerical
column 60. text
column 61. numerical
column 62. text
column 63. numerical
column 64. text
column 65. numerical
column 66. text
column 67. numerical
column 68. text
column 69. numerical
column 70. numerical
column 71. numerical
column 72. numerical
column 73. numerical
column 74. numerical
column 75. text
column 76. numerical
column 77. text
column 78. numerical
column 79. text
column 80. numerical
column 81. text
column 82. numerical
column 83. text
column 84. numerical
column 85. numerical
column 86. numerical
column 87. numerical
column 88. numerical
column 89. numerical
column 90. text
column 91. numerical
column 92. text
column 93. numerical
column 94. text
column 95. numerical
column 96. text
column 97. numerical
column 98. text
b. Number of Columns: 98
c. Decimal Places:
column 1. 0
column 2. 0
column 3. 6
column 4. 6
column 5. 0
column 6. 0
column 7. 0
column 8. 0
column 9. 0
column 10. 2
column 11. 0
column 12. 2
column 13. 0
column 14. 3
column 15. 0
column 16. 3
column 17. 0
column 18. 4
column 19. 0
column 20. 4
column 21. 0
column 22. 5
column 23. 0
column 24. 0
column 25. 2
column 26. 0
column 27. 2
column 28. 0
column 29. 3
column 30. 0
column 31. 3
column 32. 0
column 33. 4
column 34. 0
column 35. 4
column 36. 0
column 37. 5
column 38. 0
column 39. 0
column 40. 2
column 41. 0
column 42. 2
column 43. 0
column 44. 3
column 45. 0
column 46. 3
column 47. 0
column 48. 4
column 49. 0
column 50. 4
column 51. 0
column 52. 5
column 53. 0
column 54. 0
column 55. 2
column 56. 0
column 57. 2
column 58. 0
column 59. 3
column 60. 0
column 61. 3
column 62. 0
column 63. 4
column 64. 0
column 65. 4
column 66. 0
column 67. 5
column 68. 0
column 69. 0
column 70. 2
column 71. 0
column 72. 2
column 73. 0
column 74. 3
column 75. 0
column 76. 3
column 77. 0
column 78. 4
column 79. 0
column 80. 4
column 81. 0
column 82. 5
column 83. 0
column 84. 0
column 85. 2
column 86. 0
column 87. 2
column 88. 0
column 89. 3
column 90. 0
column 91. 3
column 92. 0
column 93. 4
column 94. 0
column 95. 4
column 96. 0
column 97. 5
column 98. 0
6. Logical Variable Type:
column 1. nominal (discrete)
column 2. nominal (none)
column 3. geographic coordinate (continuous)
column 4. geographic coordinate (continuous)
column 5. datetime (none)
column 6. datetime (discrete)
column 7. datetime (discrete)
column 8. datetime (discrete)
column 9. calculation (discrete)
column 10. calculation (continuous)
column 11. calculation (discrete)
column 12. calculation (continuous)
column 13. calculation (discrete)
column 14. calculation (continuous)
column 15. coded value (none)
column 16. calculation (continuous)
column 17. coded value (none)
column 18. calculation (continuous)
column 19. coded value (none)
column 20. calculation (continuous)
column 21. coded value (none)
column 22. calculation (continuous)
column 23. coded value (none)
column 24. calculation (discrete)
column 25. calculation (continuous)
column 26. calculation (discrete)
column 27. calculation (continuous)
column 28. calculation (discrete)
column 29. calculation (continuous)
column 30. coded value (none)
column 31. calculation (continuous)
column 32. coded value (none)
column 33. calculation (continuous)
column 34. coded value (none)
column 35. calculation (continuous)
column 36. coded value (none)
column 37. calculation (continuous)
column 38. coded value (none)
column 39. calculation (discrete)
column 40. calculation (continuous)
column 41. calculation (discrete)
column 42. calculation (continuous)
column 43. calculation (discrete)
column 44. calculation (continuous)
column 45. coded value (none)
column 46. calculation (continuous)
column 47. coded value (none)
column 48. calculation (continuous)
column 49. coded value (none)
column 50. calculation (continuous)
column 51. coded value (none)
column 52. calculation (continuous)
column 53. coded value (none)
column 54. calculation (discrete)
column 55. calculation (continuous)
column 56. calculation (discrete)
column 57. calculation (continuous)
column 58. calculation (discrete)
column 59. calculation (continuous)
column 60. coded value (none)
column 61. calculation (continuous)
column 62. coded value (none)
column 63. calculation (continuous)
column 64. coded value (none)
column 65. calculation (continuous)
column 66. coded value (none)
column 67. calculation (continuous)
column 68. coded value (none)
column 69. calculation (discrete)
column 70. calculation (continuous)
column 71. calculation (discrete)
column 72. calculation (continuous)
column 73. calculation (discrete)
column 74. calculation (continuous)
column 75. coded value (none)
column 76. calculation (continuous)
column 77. coded value (none)
column 78. calculation (continuous)
column 79. coded value (none)
column 80. calculation (continuous)
column 81. coded value (none)
column 82. calculation (continuous)
column 83. coded value (none)
column 84. calculation (discrete)
column 85. calculation (continuous)
column 86. calculation (discrete)
column 87. calculation (continuous)
column 88. calculation (discrete)
column 89. calculation (continuous)
column 90. coded value (none)
column 91. calculation (continuous)
column 92. coded value (none)
column 93. calculation (continuous)
column 94. coded value (none)
column 95. calculation (continuous)
column 96. coded value (none)
column 97. calculation (continuous)
column 98. coded value (none)
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. none
column 14.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 15. none
column 16.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 17. none
column 18.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 19. none
column 20.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 21. none
column 22.
col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen
t_Flagged_Temperature>35="Q"
column 23. none
column 24. none
column 25. none
column 26. none
column 27. none
column 28. none
column 29.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 30. none
column 31.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 32. none
column 33.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 34. none
column 35.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 36. none
column 37.
col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc
ent_Flagged_Conductivity>35="Q"
column 38. none
column 39. none
column 40. none
column 41. none
column 42. none
column 43. none
column 44.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 45. none
column 46.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 47. none
column 48.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 49. none
column 50.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 51. none
column 52.
col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag
ged_Pressure>35="Q"
column 53. none
column 54. none
column 55. none
column 56. none
column 57. none
column 58. none
column 59.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 60. none
column 61.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 62. none
column 63.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 64. none
column 65.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 66. none
column 67.
col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De
pth>35="Q"
column 68. none
column 69. none
column 70. none
column 71. none
column 72. none
column 73. none
column 74.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 75. none
column 76.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 77. none
column 78.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 79. none
column 80.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 81. none
column 82.
col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag
ged_Salinity>35="Q"
column 83. none
column 84. none
column 85. none
column 86. none
column 87. none
column 88. none
column 89.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 90. none
column 91.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 92. none
column 93.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 94. none
column 95.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 96. none
column 97.
col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge
d_Sigma_t>35="Q"
column 98. none
C. Data Anomalies: Values of 88 records in Daily_Min_Temperature were flagged as I (invalid
value (out of range)). The value of one record in Daily_Min_Temperature was flagged as Q
(questionable value). Values of 87 records in Daily_Min_Temperature are missing. Values of 88
records in Daily_Max_Temperature were flagged as I (invalid value (out of range)). The value
of one record in Daily_Max_Temperature was flagged as Q (questionable value). Values of 87
records in Daily_Max_Temperature are missing. Values of 88 records in Daily_Mean_Temperature
were flagged as I (invalid value (out of range)). The value of one record in
Daily_Mean_Temperature was flagged as Q (questionable value). Values of 87 records in
Daily_Mean_Temperature are missing. Values of 88 records in Daily_StdDev_Temperature were
flagged as I (invalid value (out of range)). The value of one record in
Daily_StdDev_Temperature was flagged as Q (questionable value). Values of 87 records in
Daily_StdDev_Temperature are missing. Values of 88 records in Daily_SE_Temperature were
flagged as I (invalid value (out of range)). The value of one record in Daily_SE_Temperature
was flagged as Q (questionable value). Values of 87 records in Daily_SE_Temperature are
missing. Values of 88 records in Daily_Min_Conductivity were flagged as I (invalid value (out
of range)). The value of one record in Daily_Min_Conductivity was flagged as Q (questionable
value). Values of 87 records in Daily_Min_Conductivity are missing. Values of 88 records in
Daily_Max_Conductivity were flagged as I (invalid value (out of range)). The value of one
record in Daily_Max_Conductivity was flagged as Q (questionable value). Values of 87 records
in Daily_Max_Conductivity are missing. Values of 88 records in Daily_Mean_Conductivity were
flagged as I (invalid value (out of range)). The value of one record in
Daily_Mean_Conductivity was flagged as Q (questionable value). Values of 87 records in
Daily_Mean_Conductivity are missing. Values of 88 records in Daily_StdDev_Conductivity were
flagged as I (invalid value (out of range)). The value of one record in
Daily_StdDev_Conductivity was flagged as Q (questionable value). Values of 87 records in
Daily_StdDev_Conductivity are missing. Values of 88 records in Daily_SE_Conductivity were
flagged as I (invalid value (out of range)). The value of one record in Daily_SE_Conductivity
was flagged as Q (questionable value). Values of 87 records in Daily_SE_Conductivity are
missing. Values of 88 records in Daily_Min_Pressure were flagged as I (invalid value (out of
range)). The value of one record in Daily_Min_Pressure was flagged as Q (questionable value).
Values of 87 records in Daily_Min_Pressure are missing. Values of 88 records in
Daily_Max_Pressure were flagged as I (invalid value (out of range)). The value of one record
in Daily_Max_Pressure was flagged as Q (questionable value). Values of 87 records in
Daily_Max_Pressure are missing. Values of 88 records in Daily_Mean_Pressure were flagged as I
(invalid value (out of range)). The value of one record in Daily_Mean_Pressure was flagged as
Q (questionable value). Values of 87 records in Daily_Mean_Pressure are missing. Values of 88
records in Daily_StdDev_Pressure were flagged as I (invalid value (out of range)). The value
of one record in Daily_StdDev_Pressure was flagged as Q (questionable value). Values of 87
records in Daily_StdDev_Pressure are missing. Values of 88 records in Daily_SE_Pressure were
flagged as I (invalid value (out of range)). The value of one record in Daily_SE_Pressure was
flagged as Q (questionable value). Values of 87 records in Daily_SE_Pressure are missing.
Values of 88 records in Daily_Min_Depth were flagged as I (invalid value (out of range)). The
value of one record in Daily_Min_Depth was flagged as Q (questionable value). Values of 87
records in Daily_Min_Depth are missing. Values of 88 records in Daily_Max_Depth were flagged
as I (invalid value (out of range)). The value of one record in Daily_Max_Depth was flagged
as Q (questionable value). Values of 87 records in Daily_Max_Depth are missing. Values of 88
records in Daily_Mean_Depth were flagged as I (invalid value (out of range)). The value of
one record in Daily_Mean_Depth was flagged as Q (questionable value). Values of 87 records in
Daily_Mean_Depth are missing. Values of 88 records in Daily_StdDev_Depth were flagged as I
(invalid value (out of range)). The value of one record in Daily_StdDev_Depth was flagged as
Q (questionable value). Values of 87 records in Daily_StdDev_Depth are missing. Values of 88
records in Daily_SE_Depth were flagged as I (invalid value (out of range)). The value of one
record in Daily_SE_Depth was flagged as Q (questionable value). Values of 87 records in
Daily_SE_Depth are missing. Values of 88 records in Daily_Min_Salinity were flagged as I
(invalid value (out of range)). The value of one record in Daily_Min_Salinity was flagged as
Q (questionable value). Values of 87 records in Daily_Min_Salinity are missing. Values of 88
records in Daily_Max_Salinity were flagged as I (invalid value (out of range)). The value of
one record in Daily_Max_Salinity was flagged as Q (questionable value). Values of 87 records
in Daily_Max_Salinity are missing. Values of 88 records in Daily_Mean_Salinity were flagged
as I (invalid value (out of range)). The value of one record in Daily_Mean_Salinity was
flagged as Q (questionable value). Values of 87 records in Daily_Mean_Salinity are missing.
Values of 88 records in Daily_StdDev_Salinity were flagged as I (invalid value (out of
range)). The value of one record in Daily_StdDev_Salinity was flagged as Q (questionable
value). Values of 87 records in Daily_StdDev_Salinity are missing. Values of 88 records in
Daily_SE_Salinity were flagged as I (invalid value (out of range)). The value of one record
in Daily_SE_Salinity was flagged as Q (questionable value). Values of 87 records in
Daily_SE_Salinity are missing. Values of 88 records in Daily_Min_Sigma_t were flagged as I
(invalid value (out of range)). The value of one record in Daily_Min_Sigma_t was flagged as Q
(questionable value). Values of 87 records in Daily_Min_Sigma_t are missing. Values of 88
records in Daily_Max_Sigma_t were flagged as I (invalid value (out of range)). The value of
one record in Daily_Max_Sigma_t was flagged as Q (questionable value). Values of 87 records
in Daily_Max_Sigma_t are missing. Values of 88 records in Daily_Mean_Sigma_t were flagged as
I (invalid value (out of range)). The value of one record in Daily_Mean_Sigma_t was flagged
as Q (questionable value). Values of 87 records in Daily_Mean_Sigma_t are missing. Values of
88 records in Daily_StdDev_Sigma_t were flagged as I (invalid value (out of range)). The
value of one record in Daily_StdDev_Sigma_t was flagged as Q (questionable value). Values of
87 records in Daily_StdDev_Sigma_t are missing. Values of 88 records in Daily_SE_Sigma_t were
flagged as I (invalid value (out of range)). The value of one record in Daily_SE_Sigma_t was
flagged as Q (questionable value). Values of 87 records in Daily_SE_Sigma_t are missing.
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:
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