I. Data Set Descriptors A. Title: Daniela Di Iorio. 2020. Daily Summary of Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Georgia Coastal Ecosystems LTER Data Catalog (data set PHY-GCEM-2008e; http://gce-lter.marsci.uga.edu/data/PHY-GCEM-2008e) B. Accession Number: PHY-GCEM-2008e 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 GCE7_Hydro (Altamaha River near Carrs Island, Georgia) from 01-Jan-2019 through 31-Dec-2019. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately semi-monthly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program. 3. Study Type: Monitoring 4. Study Themes: Physical Oceanography 5. LTER Core Areas: Inorganic Matter 6. Georeferences: geographic coordinates as data columns 7. Submission Date: Aug 01, 2020 D. Keywords: conductivity, daily, density, depth, GCE, GCE7, Georgia, Georgia Coastal Ecosystems, Hydrographic Moorings, hydrography, Inorganic Matter, 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-AL -- Altamaha River, Georgia, USA GCE7_Hydro -- Hammersmith Creek hydrographic datalogger deployment Coordinates: GCE-AL -- NW: 081 34 56.32 W, 31 24 05.05 N NE: 081 14 16.57 W, 31 24 05.05 N SE: 081 14 16.57 W, 31 17 45.72 N SW: 081 34 56.32 W, 31 17 45.72 N GCE7_Hydro -- 81 28 31.7 W, 31 20 17.5 N b. Physiographic Region: GCE-AL -- Estuary and tidal marsh GCE7_Hydro -- Estuary and tidal marsh c. Landform Components: GCE-AL -- Intertidal marsh bordering sounds, tidal channels and creeks GCE7_Hydro -- Intertidal marsh bordering sounds, tidal channels and creeks d. Hydrographic Characteristics: GCE-AL -- Site encompasses the Altamaha River estuary and nearby tidal creeks, and is subject to 2-3.4m semi-diurnal tides. High freshwater input from the Altamaha River, one of the largest rivers in the Southeastern United States. GCE7_Hydro -- Site encompasses the Altamaha River estuary and nearby tidal creeks, and is subject to 2-3.4m semi-diurnal tides. High freshwater input from the Altamaha River, one of the largest rivers in the Southeastern United States. e. Topographic Attributes: GCE-AL -- Flat, with elevations ranging from 0-3.4m above mean low tide GCE7_Hydro -- Flat, with elevations ranging from 0-3.4m above mean low tide f. Geology, Lithology and Soils: GCE-AL -- unspecified GCE7_Hydro -- unspecified g. Vegetation Communities: GCE-AL -- unspecified GCE7_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, 2019 End of Observations: Dec 31, 2019 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: SBE MicroCAT 37-SM (S/N 1794) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Mar 28, 2012 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 2413, with pump) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Apr 06, 2012 Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0 to 7 S/m) Protocol: Prior to each timed measurement the conductivity cell is opened and water is pumped for 0.5 sec, then conductivity is measured using an ultra-precision Wien-Bridge oscillator with frequency counted by a high-stability reference crystal (<2 ppm/year drift rate). The cell is closed between measurements and tributyl tin antifoulant is released into the tubing. Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to 20m) Protocol: Pressure is measured using a micro-machined silicon diaphragm with embedded strain elements, and temperature compensation is performed by the SBE MicroCAT onboard cpu. Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range: -5 to 35°C) Protocol: Temperature is measured by applying an AC excitation to a hermetically-sealed VISHAY reference resistor and an ultra-stable aged thermistor (drift rate typically less than 0.002°C/year). SBE MicroCAT 37-SM (S/N 4961) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Jan 07, 2014 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: not applicable Method 2: Method 3: Method 4: e. Speclies List: f. Permit History: Method 1: none Method 2: none Method 3: none Method 4: none 4. Project Personnel a. Personnel: 1: Daniela Di Iorio 2: Jacob Shalack 3: Wade M. Sheldon, Jr. 4: Adam Sapp 5: Dontrece Smith 6: Alyssa Peterson 7: Brendan Manley b. Affiliations: 1: University of Georgia, Athens, Georgia 2: University of Georgia Marine Institute, Sapelo Island, Georgia 3: University of Georgia, Athens, Georgia 4: University of Georgia, Athens, Georgia 5: University of Georgia Marine Institute, Sapelo Island, Georgia 6: University of Georgia, Sapelo Island, Georgia 7: University of Georgia, Sapelo Island, GA III. Data Set Status and Accessibility A. Status 1. Latest Update: 05-Mar-2021 2. Latest Archive Date: 05-Mar-2021 3. Latest Metadata Update: 05-Mar-2021 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: Aug 01, 2020, Public: Aug 01, 2020 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-2008e) 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-2008e_Daily_1_0.CSV 2. Size: 365 records 3. File Format: ASCII text (comma-separated value format) 3a. Delimiters: single comma 4. Header Information: 5 lines of ASCII text 5. Alphanumeric Attributes: none 6. Quality Control Flag Codes: Q = questionable value, I = invalid value (out of range), S = spike/noise, X = excise row flag 7. Authentication Procedures: not specified 8. Calculations: Depth(m) = sw_dpth(Pressure(dbar),Latitude(deg)) -- sw_dpth (salt water depth from pressure) Matlab function, Revision: 1.3, Date: 10-Oct-1994 (C)1992 CSIRO, Phil Morgan (morgan@ml.csiro.au) [Salinity(psu),Sigma_t] = salsig2(Depth(m),Temperature(C),Conductivity(mmho/cm)) -- salsig2 (salinity and sigma-t from conductivity, temperature and depth) Matlab function Revision 06-May-1992 by V. Holliday, as modified by Tom Gross and Julie Amft (julie@skio.peachnet.edu) 9. Processing History: Software version: GCE Data Toolbox Version 3.9.9b (06-Mar-2019) Data structure version: GCE Data Structure 1.1 (29-Mar-2001) Original data files processed: 07190361.asc (6293 records) 07190693.asc (4085 records) 07200291.asc (6395 records) Data processing history: 18-Mar-2019: data uploaded from SBE 37-SM MicroCAT using SEATERM software version 1.59 02-May-2019: new GCE Data Structure 1.1 created ('newstruct') 02-May-2019: data imported from processed SBE SM-37 sonde data file '07190361.asc' (6293 records) ('imp_gcesonde') 02-May-2019: deleted column Second from the structure ('deletecols') 02-May-2019: 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') 02-May-2019: added column 'Instrument' at position 1 ('addcol') 02-May-2019: added column 'Latitude' at position 1 ('addcol') 02-May-2019: Q/C flagging criteria applied for column(s) Latitude, 'flags' field updated ('dataflag') 02-May-2019: added column 'Longitude' at position 1 ('addcol') 02-May-2019: Q/C flagging criteria applied for column(s) Longitude, 'flags' field updated ('dataflag') 02-May-2019: added column 'Site' at position 1 ('addcol') 02-May-2019: matched 6293 out of 6293 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) 02-May-2019: added column 'Station' at position 2 ('addcol') 02-May-2019: Q/C flagging criteria applied for column(s) Station, 'flags' field updated ('dataflag') 02-May-2019: added geographic metadata based on matching values in column Station to location and station names registered in 'geo_locations.mat' ('add_sitemetadata') 02-May-2019: updated 8 metadata fields in the Site sections ('addmeta') 02-May-2019: added column 'Calibration' at position 18 ('addcol') 02-May-2019: Q/C flagging criteria applied for column(s) Calibration, 'flags' field updated ('dataflag') 02-May-2019: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 02-May-2019: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 02-May-2019: edited structure data ('ui_datagrid'): deleted record(s) 1, 2, 3, 4, 6291, 6292 and 6293 02-May-2019: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 02-May-2019: QA/QC flags assigned by visual inspection (ui_visualqc); flags set on Pressure record(s): 1619 02-May-2019: copied QA/QC flags from column(s) Temperature, Conductivity and Pressure to column(s) Salinity and Sigma_t, merging copied flags with any existing flags, and set QA/QC criteria for destination column(s) to 'manual' ('copyflags') 02-May-2019: deleted the following rows with values in column(s) Pressure or Depth assigned QA/QC flag(s) X (excise row flag): 1619. ('cullflags') 02-May-2019: 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 and Calibration) to fill in date/time interval gaps in the data series ('pad_date_gaps') 02-May-2019: sorted by column Date(ascending) ('sortdata') 02-May-2019: 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') 02-May-2019: updated 1 metadata fields in the Data sections ('addmeta') 02-May-2019: sorted by column Date(ascending) ('sortdata') 02-May-2019: 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') 02-May-2019: 1 value in 'Temperature' was updated with a new value ('update_data'): changed record 1619 from NaN to 10.673 02-May-2019: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 02-May-2019: 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') 02-May-2019: 1 value in 'Conductivity' was updated with a new value ('update_data'): changed record 1619 from NaN to 0.006 02-May-2019: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 02-May-2019: 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') 02-May-2019: 1 value in 'Pressure' was updated with a new value ('update_data'): changed record 1619 from NaN to 2.382 02-May-2019: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 02-May-2019: 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') 02-May-2019: 1 value in 'Depth' was updated with a new value ('update_data'): changed record 1619 from NaN to 2.365 02-May-2019: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 02-May-2019: 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') 02-May-2019: 1 value in 'Salinity' was updated with a new value ('update_data'): changed record 1619 from NaN to 0.040 02-May-2019: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 02-May-2019: 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') 02-May-2019: 1 value in 'Sigma_t' was updated with a new value ('update_data'): changed record 1619 from NaN to -0.329 02-May-2019: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 02-May-2019: query 'Year==2019' run, returned 3686 of 6286 data rows ('querydata') 02-May-2019: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 14-Jan-2020: 4073 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 1793 deployed at GCE7_Hydro (Hammersmith Creek hydrographic datalogger deployment) from 18-Mar-2019 to 11-Jun-2019' ('datamerge') 14-Jan-2020: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 14-Jan-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 14-Jan-2020: manually edited data set metadata ('ui_editmetadata') 14-Jan-2020: edited data set title in structure and metadata ('ui_editor') 14-Jan-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') 14-Jan-2020: sorted by column Date(ascending) ('sortdata') 14-Jan-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') 14-Jan-2020: updated 1 metadata fields in the Data sections ('addmeta') 14-Jan-2020: sorted by column Date(ascending) ('sortdata') 14-Jan-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') 14-Jan-2020: 1 value in 'Temperature' was updated with a new value ('update_data'): changed record 3687 from NaN to 16.375 14-Jan-2020: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 14-Jan-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') 14-Jan-2020: 1 value in 'Conductivity' was updated with a new value ('update_data'): changed record 3687 from NaN to 0.008 14-Jan-2020: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 14-Jan-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') 14-Jan-2020: 1 value in 'Pressure' was updated with a new value ('update_data'): changed record 3687 from NaN to 1.728 14-Jan-2020: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 14-Jan-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') 14-Jan-2020: 1 value in 'Depth' was updated with a new value ('update_data'): changed record 3687 from NaN to 1.716 14-Jan-2020: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 14-Jan-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') 14-Jan-2020: 1 value in 'Salinity' was updated with a new value ('update_data'): changed record 3687 from NaN to 0.049 14-Jan-2020: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 14-Jan-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') 14-Jan-2020: 1 value in 'Sigma_t' was updated with a new value ('update_data'): changed record 3687 from NaN to -1.079 14-Jan-2020: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 13-Apr-2020: 6386 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 1791 deployed at GCE7_Hydro (Hammersmith Creek hydrographic datalogger deployment) from 18-Oct-2019 to 28-Feb-2020' ('datamerge') 13-Apr-2020: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 13-Apr-2020: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 13-Apr-2020: query 'Year==2019' run, returned 11334 of 14146 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') 13-Apr-2020: inserted 6186 new records 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') 13-Apr-2020: sorted by column Date(ascending) ('sortdata') 13-Apr-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') 13-Apr-2020: updated 1 metadata fields in the Data sections ('addmeta') 05-Mar-2021: query 'Year=2019' run, returned 17520 of 17520 data rows ('querydata') 05-Mar-2021: 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') 05-Mar-2021: imported all documentation metadata from the template 'GCE_Sonde', retaining existing attribute descriptors for all columns ('meta_template') 05-Mar-2021: updated 41 metadata fields in the Data, Dataset, Project, Site, Status, Study, Supplement sections ('addmeta') 05-Mar-2021: updated title ('newtitle') 05-Mar-2021: added geographic metadata based on matching values in column Station to location and station names registered in 'geo_locations.mat' ('add_sitemetadata') 05-Mar-2021: updated 8 metadata fields in the Site sections ('addmeta') 05-Mar-2021: updated title ('newtitle') 05-Mar-2021: updated 1 metadata fields in the Dataset sections ('addmeta') 05-Mar-2021: 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) 05-Mar-2021: updated title ('newtitle') 05-Mar-2021: updated 1 metadata fields in the Dataset sections ('addmeta') 05-Mar-2021: 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') 05-Mar-2021: 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') 05-Mar-2021: sorted by column Date(ascending) ('sortdata') 05-Mar-2021: converted values in all columns assigned QA/QC flag(s) I (invalid value (out of range)) to NaN/empty: 129 records in Daily_Min_Temperature, 129 records in Daily_Max_Temperature, 129 records in Daily_Mean_Temperature, 129 records in Daily_StdDev_Temperature, 129 records in Daily_SE_Temperature, 129 records in Daily_Min_Conductivity, 129 records in Daily_Max_Conductivity, 129 records in Daily_Mean_Conductivity, 129 records in Daily_StdDev_Conductivity, 129 records in Daily_SE_Conductivity, 129 records in Daily_Min_Pressure, 129 records in Daily_Max_Pressure, 129 records in Daily_Mean_Pressure, 129 records in Daily_StdDev_Pressure, 129 records in Daily_SE_Pressure, 129 records in Daily_Min_Depth, 129 records in Daily_Max_Depth, 129 records in Daily_Mean_Depth, 129 records in Daily_StdDev_Depth, 129 records in Daily_SE_Depth, 129 records in Daily_Min_Salinity, 129 records in Daily_Max_Salinity, 129 records in Daily_Mean_Salinity, 129 records in Daily_StdDev_Salinity, 129 records in Daily_SE_Salinity, 129 records in Daily_Min_Sigma_t, 129 records in Daily_Max_Sigma_t, 129 records in Daily_Mean_Sigma_t, 129 records in Daily_StdDev_Sigma_t, 129 records in Daily_SE_Sigma_t ('nullflags') 05-Mar-2021: updated 1 metadata fields in the Study sections ('addmeta') 05-Mar-2021: updated 1 metadata fields in the Dataset sections ('addmeta') 05-Mar-2021: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ('imp_gcemetadata') 05-Mar-2021: updated 57 metadata fields in the Dataset, Project, Site, Status, Study, Supplement sections ('addmeta') 05-Mar-2021: manually edited data set metadata ('ui_editmetadata') 05-Mar-2021: edited data set title in structure and metadata ('ui_editor') 05-Mar-2021: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS 05-Mar-2021: 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') 05-Mar-2021: updated 6 metadata fields in the Data sections ('addmeta') 05-Mar-2021: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ('updatecols') 05-Mar-2021: 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. 7 to 7 column 2. (none) column 3. -81.4755 to -81.4755 column 4. 31.3382 to 31.3382 column 5. (none) column 6. 2019 to 2019 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. 8.7804 to 30.4762 column 15. (none) column 16. 9.6215 to 31.1354 column 17. (none) column 18. 9.2679 to 30.728 column 19. (none) column 20. 0.059402 to 0.71044 column 21. (none) column 22. 0.0085739 to 0.10254 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. 0.0056 to 0.05284 column 30. (none) column 31. 0.0058 to 0.75274 column 32. (none) column 33. 0.0057198 to 0.24397 column 34. (none) column 35. 3.1888e-05 to 0.19598 column 36. (none) column 37. 4.6026e-06 to 0.028287 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. 0.705 to 2.221 column 45. (none) column 46. 2.62 to 3.71 column 47. (none) column 48. 1.7372 to 2.9738 column 49. (none) column 50. 0.36522 to 0.69766 column 51. (none) column 52. 0.052715 to 0.11068 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. 0.70012 to 2.2056 column 60. (none) column 61. 2.6019 to 3.6843 column 62. (none) column 63. 1.7252 to 2.9532 column 64. (none) column 65. 0.36269 to 0.69283 column 66. (none) column 67. 0.05235 to 0.10992 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. 0.037506 to 0.26683 column 75. (none) column 76. 0.038604 to 4.2931 column 77. (none) column 78. 0.038222 to 1.3183 column 79. (none) column 80. 6.9489e-05 to 1.1206 column 81. (none) column 82. 1.003e-05 to 0.16175 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. -4.6278 to -0.23265 column 90. (none) column 91. -4.4303 to 0.67842 column 92. (none) column 93. -4.5096 to -0.20487 column 94. (none) column 95. 0.0053758 to 0.85225 column 96. (none) column 97. 0.00077593 to 0.12301 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 129 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 128 records in Daily_Min_Temperature are missing. Values of 129 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 128 records in Daily_Max_Temperature are missing. Values of 129 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 128 records in Daily_Mean_Temperature are missing. Values of 129 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 128 records in Daily_StdDev_Temperature are missing. Values of 129 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 128 records in Daily_SE_Temperature are missing. Values of 129 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 128 records in Daily_Min_Conductivity are missing. Values of 129 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 128 records in Daily_Max_Conductivity are missing. Values of 129 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 128 records in Daily_Mean_Conductivity are missing. Values of 129 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 128 records in Daily_StdDev_Conductivity are missing. Values of 129 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 128 records in Daily_SE_Conductivity are missing. Values of 129 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 128 records in Daily_Min_Pressure are missing. Values of 129 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 128 records in Daily_Max_Pressure are missing. Values of 129 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 128 records in Daily_Mean_Pressure are missing. Values of 129 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 128 records in Daily_StdDev_Pressure are missing. Values of 129 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 128 records in Daily_SE_Pressure are missing. Values of 129 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 128 records in Daily_Min_Depth are missing. Values of 129 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 128 records in Daily_Max_Depth are missing. Values of 129 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 128 records in Daily_Mean_Depth are missing. Values of 129 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 128 records in Daily_StdDev_Depth are missing. Values of 129 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 128 records in Daily_SE_Depth are missing. Values of 129 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 128 records in Daily_Min_Salinity are missing. Values of 129 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 128 records in Daily_Max_Salinity are missing. Values of 129 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 128 records in Daily_Mean_Salinity are missing. Values of 129 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 128 records in Daily_StdDev_Salinity are missing. Values of 129 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 128 records in Daily_SE_Salinity are missing. Values of 129 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 128 records in Daily_Min_Sigma_t are missing. Values of 129 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 128 records in Daily_Max_Sigma_t are missing. Values of 129 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 128 records in Daily_Mean_Sigma_t are missing. Values of 129 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 128 records in Daily_StdDev_Sigma_t are missing. Values of 129 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 128 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