I. Data Set Descriptors A. Title: Daniela Di Iorio. 2018. Daily Summary of Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2017 through 31-Dec-2017. Georgia Coastal Ecosystems LTER Data Catalog (data set PHY-GCEM-1810c; http://gce-lter.marsci.uga.edu/data/PHY-GCEM-1810c) B. Accession Number: PHY-GCEM-1810c 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 GCE3_Hydro (Sapelo Sound north of Sapelo Island, Georgia) from 01-Jan-2017 through 31-Dec-2017. 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: Jan 19, 2018 D. Keywords: conductivity, daily, density, depth, GCE, GCE3, 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 Project III 2. Principal Investigators: Name: Merryl Alber Address: Dept. of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: malber@uga.edu 3. Funding Period: Nov 01, 2012 to Nov 01, 2018 4. Objectives: The research proposed for GCE-III is designed to address how variations in salinity and inundation, driven by climate change and anthropogenic factors, affect biotic and ecosystem responses at different spatial and temporal scales, and to predict the consequences of these changes for habitat provisioning and carbon (C) sequestration across the coastal landscape. 5. Abstract: The Georgia Coastal Ecosystems (GCE) LTER is located along three adjacent sounds on the Atlantic coast and includes both intertidal marshes and estuaries. Long-term drivers of climate change, sea level rise and human alterations of the landscape will cause transitions in dominant habitat types (state changes) within the GCE domain by changing the amounts and patterns of water delivery across the landscape. These changes in water delivery can be conceptualized as presses and pulses in river inflow, local runoff, groundwater input, and tidal inundation, which will in turn manifest themselves as changes in salinity and inundation patterns in the domain. The research proposed for GCE-III is designed to address how variations in salinity and inundation, driven by climate change and anthropogenic factors, affect biotic and ecosystem responses at different spatial and temporal scales, and to predict the consequences of these changes for habitat provisioning and carbon (C) sequestration across the coastal landscape. The goals are to: 1) Track long-term changes in climate and human actions in the watershed and adjacent uplands, and evaluate the effects of these drivers on domain boundary conditions. 2) Describe temporal and spatial variability in physical, chemical, geological and biological, and to evaluate how they are affected by variations in river inflow and other boundary conditions. 3) Characterize the responses of three dominant habitats in the domain to pulses and presses in salinity and inundation. 4) Describe patterns of habitat provisioning and C sequestration and export in the GCE domain, and to evaluate how these might be affected by changes in salinity and inundation. These efforts will be synthesized into a synoptic understanding of both biotic and ecosystem responses to variations in salinity and inundation driven by climate change and human activities, which will be used to assess thresholds between habitats and the potential for state changes in the domain. 6. Funding Source: NSF OCE 1237140 B. Sub-project Description 1. Site Description a. Geographic Location: GCE-SP -- Sapelo River, Georgia, USA GCE3_Hydro -- North Sapelo 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 GCE3_Hydro -- 81 12 39.0 W, 31 32 53.8 N b. Physiographic Region: GCE-SP -- Estuary and tidal marsh GCE3_Hydro -- Estuary and tidal marsh c. Landform Components: GCE-SP -- Intertidal marsh bordering sounds, tidal channels and creeks GCE3_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. GCE3_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 GCE3_Hydro -- Flat, with elevations ranging from 0-3.4m above mean low tide f. Geology, Lithology and Soils: GCE-SP -- unspecified GCE3_Hydro -- unspecified g. Vegetation Communities: GCE-SP -- unspecified GCE3_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, 2017 End of Observations: Dec 31, 2017 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 1791) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Jan 27, 2011 Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0 to 7 S/m) Protocol: Water passively circulates through an open internal-field conductivity cell equipped with an external tributyl tin antifoulant dispenser, and conductivity is measured using an ultra-precision Wien-Bridge oscillator with frequency counted by a high-stability reference crystal (<2 ppm/year drift rate). Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to 20m) Protocol: Pressure is measured using a micro-machined silicon diaphragm with embedded strain elements, and temperature compensation is performed by the SBE MicroCAT onboard cpu. Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range: -5 to 35°C) Protocol: Temperature is measured by applying an AC excitation to a hermetically-sealed VISHAY reference resistor and an ultra-stable aged thermistor (drift rate typically less than 0.002°C/year). SBE MicroCAT 37-SM (S/N 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 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: Timothy G. Montgomery 6: 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, Sapelo Island, Georgia 6: University of Georgia, Sapelo Island, GA III. Data Set Status and Accessibility A. Status 1. Latest Update: 19-Oct-2018 2. Latest Archive Date: 19-Oct-2018 3. Latest Metadata Update: 19-Oct-2018 4. Data Verification Status: New submission B. Accessibility 1. Storage Location and Medium: Stored at GCE-LTER Data Management Office Dept. of Marine Sciences Univ. of Georgia Athens, GA 30602-3636 USA on media: electronic data download (WWW) or compact disk 2. Contact Person: Name: Wade M. Sheldon, Jr. Address: Department of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: sheldon@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: Jan 19, 2018, Public: Jan 19, 2019 b. Citation: Data provided by the Georgia Coastal Ecosystems Long Term Ecological Research Project, supported by funds from NSF OCE 1237140 (data set PHY-GCEM-1810c) 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-1810c_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 3.9.8 (14-Mar-2018) Data structure version: GCE Data Structure 1.1 (29-Mar-2001) Original data files processed: 03170313.asc (3740 records) 03170694.asc (5004 records) 03121791.asc (8413 records) 03180361.asc (4617 records) Data processing history: 09-Mar-2017: data uploaded from SBE 37-SM MicroCAT using SEATERM software version 1.59 10-Jan-2018: new GCE Data Structure 1.1 created ('newstruct') 10-Jan-2018: data imported from processed SBE SM-37 sonde data file '03170313.asc' (3740 records) ('imp_gcesonde') 10-Jan-2018: deleted column Second from the structure ('deletecols') 10-Jan-2018: 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-Jan-2018: added column 'Instrument' at position 1 ('addcol') 10-Jan-2018: added column 'Pump' at position 2 ('addcol') 10-Jan-2018: Q/C flagging criteria applied for column(s) Pump, 'flags' field updated ('dataflag') 10-Jan-2018: added column 'Latitude' at position 1 ('addcol') 10-Jan-2018: Q/C flagging criteria applied for column(s) Latitude, 'flags' field updated ('dataflag') 10-Jan-2018: added column 'Longitude' at position 1 ('addcol') 10-Jan-2018: Q/C flagging criteria applied for column(s) Longitude, 'flags' field updated ('dataflag') 10-Jan-2018: added column 'Site' at position 1 ('addcol') 10-Jan-2018: matched 3740 out of 3740 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-Jan-2018: added column 'Station' at position 2 ('addcol') 10-Jan-2018: Q/C flagging criteria applied for column(s) Station, 'flags' field updated ('dataflag') 10-Jan-2018: added geographic metadata based on matching values in column Station to location and station names registered in 'geo_locations.mat' ('add_sitemetadata') 10-Jan-2018: updated 8 metadata fields in the Site sections ('addmeta') 10-Jan-2018: added column 'Calibration' at position 19 ('addcol') 10-Jan-2018: Q/C flagging criteria applied for column(s) Calibration, 'flags' field updated ('dataflag') 10-Jan-2018: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 10-Jan-2018: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 10-Jan-2018: edited structure data ('ui_datagrid'): deleted record(s) 3736, 3738, 3739 and 3740, deleted record(s) 3736 10-Jan-2018: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 10-Jan-2018: QA/QC flags assigned by visual inspection (ui_visualqc); flags set on Pressure record(s): 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 and 37 10-Jan-2018: 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') 10-Jan-2018: deleted the following rows with values in column(s) Pressure or Depth assigned QA/QC flag(s) X (excise row flag): 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36 and 37. ('cullflags') 19-Jan-2018: 4991 rows added at the bottom of the data set ('datamerge') 19-Jan-2018: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 19-Jan-2018: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 19-Jan-2018: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 19-Jan-2018: 8404 rows added at the bottom of the data set ('datamerge') 19-Jan-2018: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 19-Jan-2018: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 19-Jan-2018: query 'Year==2017' run, returned 16644 of 17093 data rows ('querydata') 19-Jan-2018: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 19-Jan-2018: manually edited data set metadata ('ui_editmetadata') 19-Jan-2018: edited data set title in structure and metadata ('ui_editor') 19-Jan-2018: manually edited data set metadata ('ui_editmetadata') 19-Jan-2018: documented flagged and missing values in columns Conductivity, Salinity and Sigma_t as data set anomalies in the metadata ('add_anomalies') 15-Feb-2018: QA/QC flags assigned by visual inspection (ui_visualqc); flags set on 1786 records in Conductivity; flags cleared on Conductivity record(s): 7380, 7381 and 7382 15-Feb-2018: copied QA/QC flags from column(s) Conductivity, Temperature 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') 27-Sep-2018: 4607 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 4961 deployed at GCE3_Hydro (North Sapelo hydrographic datalogger deployment) from 13-Dec-2017 to 19-Mar-2018' ('datamerge') 27-Sep-2018: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 27-Sep-2018: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 27-Sep-2018: query 'Year==2017' run, returned 17519 of 21251 data rows ('querydata') 27-Sep-2018: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 27-Sep-2018: manually edited data set metadata ('ui_editmetadata') 27-Sep-2018: edited data set title in structure and metadata ('ui_editor') 27-Sep-2018: 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, Pump and Calibration) to fill in date/time interval gaps in the data series ('pad_date_gaps') 27-Sep-2018: sorted by column Date(ascending) ('sortdata') 27-Sep-2018: deleted existing datetime columns Year, Month, Day, Hour and Minute; updated Year, Month, Day, Hour and Minute datetime columns added after column Date ('add_datepartcols') 27-Sep-2018: updated 1 metadata fields in the Data sections ('addmeta') 27-Sep-2018: sorted by column Date(ascending) ('sortdata') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Temperature' was updated with a new value ('update_data'): changed record 16645 from NaN to 11.723 27-Sep-2018: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Conductivity' was updated with a new value ('update_data'): changed record 16645 from NaN to 3.383 27-Sep-2018: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Pressure' was updated with a new value ('update_data'): changed record 16645 from NaN to 1.772 27-Sep-2018: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Depth' was updated with a new value ('update_data'): changed record 16645 from NaN to 1.760 27-Sep-2018: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Salinity' was updated with a new value ('update_data'): changed record 16645 from NaN to 29.280 27-Sep-2018: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 27-Sep-2018: 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 8.2 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') 27-Sep-2018: 1 value in 'Sigma_t' was updated with a new value ('update_data'): changed record 16645 from NaN to 22.213 27-Sep-2018: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 27-Sep-2018: QA/QC flags assigned by visual inspection (ui_visualqc); flags set on 554 records in Conductivity 27-Sep-2018: 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') 19-Oct-2018: query 'Year=2017' run, returned 17520 of 17520 data rows ('querydata') 19-Oct-2018: 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') 19-Oct-2018: imported all documentation metadata from the template 'GCE_Sonde', retaining existing attribute descriptors for all columns ('meta_template') 19-Oct-2018: updated 40 metadata fields in the Data, Dataset, Project, Site, Status, Study, Supplement sections ('addmeta') 19-Oct-2018: updated title ('newtitle') 19-Oct-2018: added geographic metadata based on matching values in column Station to location and station names registered in 'geo_locations.mat' ('add_sitemetadata') 19-Oct-2018: updated 8 metadata fields in the Site sections ('addmeta') 19-Oct-2018: updated title ('newtitle') 19-Oct-2018: updated 1 metadata fields in the Dataset sections ('addmeta') 19-Oct-2018: converted values in all columns assigned QA/QC flag(s) I (invalid value (out of range)) to NaN/empty: 1783 records in Conductivity, 1783 records in Salinity, 1783 records in Sigma_t ('nullflags') 19-Oct-2018: 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) 19-Oct-2018: updated title ('newtitle') 19-Oct-2018: updated 1 metadata fields in the Dataset sections ('addmeta') 19-Oct-2018: 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') 19-Oct-2018: documented flagged and missing values in columns Daily_Min_Conductivity, Daily_Max_Conductivity, Daily_Mean_Conductivity, Daily_StdDev_Conductivity, Daily_SE_Conductivity, 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') 19-Oct-2018: sorted by column Date(ascending) ('sortdata') 19-Oct-2018: converted values in all columns assigned QA/QC flag(s) I (invalid value (out of range)) to NaN/empty: Daily_Min_Conductivity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Max_Conductivity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Mean_Conductivity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_StdDev_Conductivity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_SE_Conductivity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Min_Salinity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Max_Salinity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Mean_Salinity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_StdDev_Salinity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_SE_Salinity record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Min_Sigma_t record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Max_Sigma_t record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_Mean_Sigma_t record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_StdDev_Sigma_t record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299, Daily_SE_Sigma_t record(s) 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298 and 299 ('nullflags') 19-Oct-2018: updated 1 metadata fields in the Study sections ('addmeta') 19-Oct-2018: updated 1 metadata fields in the Dataset sections ('addmeta') 19-Oct-2018: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ('imp_gcemetadata') 19-Oct-2018: updated 57 metadata fields in the Dataset, Project, Site, Status, Study, Supplement sections ('addmeta') 19-Oct-2018: manually edited data set metadata ('ui_editmetadata') 19-Oct-2018: edited data set title in structure and metadata ('ui_editor') 19-Oct-2018: converted dates in column(s) Date to format yyyy-mm-dd 19-Oct-2018: flags for columns Missing_Temperature, Percent_Missing_Temperature, Flagged_Temperature, Percent_Flagged_Temperature, Daily_Num_Temperature, Daily_Min_Temperature, Daily_Max_Temperature, Daily_Mean_Temperature, Daily_StdDev_Temperature, Daily_SE_Temperature, Missing_Conductivity, Percent_Missing_Conductivity, Flagged_Conductivity, Percent_Flagged_Conductivity, Daily_Num_Conductivity, Daily_Min_Conductivity, Daily_Max_Conductivity, Daily_Mean_Conductivity, Daily_StdDev_Conductivity, Daily_SE_Conductivity, Missing_Pressure, Percent_Missing_Pressure, Flagged_Pressure, Percent_Flagged_Pressure, Daily_Num_Pressure, Daily_Min_Pressure, Daily_Max_Pressure, Daily_Mean_Pressure, Daily_StdDev_Pressure, Daily_SE_Pressure, Missing_Depth, Percent_Missing_Depth, Flagged_Depth, Percent_Flagged_Depth, Daily_Num_Depth, Daily_Min_Depth, Daily_Max_Depth, Daily_Mean_Depth, Daily_StdDev_Depth, Daily_SE_Depth, Missing_Salinity, Percent_Missing_Salinity, Flagged_Salinity, Percent_Flagged_Salinity, Daily_Num_Salinity, Daily_Min_Salinity, Daily_Max_Salinity, Daily_Mean_Salinity, Daily_StdDev_Salinity, Daily_SE_Salinity, Missing_Sigma_t, Percent_Missing_Sigma_t, Flagged_Sigma_t, Percent_Flagged_Sigma_t, Daily_Num_Sigma_t, 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') 19-Oct-2018: updated 6 metadata fields in the Data sections ('addmeta') 19-Oct-2018: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ('updatecols') 19-Oct-2018: 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. Flag_Missing_Temperature column 11. Percent_Missing_Temperature column 12. Flag_Percent_Missing_Temperature column 13. Flagged_Temperature column 14. Flag_Flagged_Temperature column 15. Percent_Flagged_Temperature column 16. Flag_Percent_Flagged_Temperature column 17. Daily_Num_Temperature column 18. Flag_Daily_Num_Temperature column 19. Daily_Min_Temperature column 20. Flag_Daily_Min_Temperature column 21. Daily_Max_Temperature column 22. Flag_Daily_Max_Temperature column 23. Daily_Mean_Temperature column 24. Flag_Daily_Mean_Temperature column 25. Daily_StdDev_Temperature column 26. Flag_Daily_StdDev_Temperature column 27. Daily_SE_Temperature column 28. Flag_Daily_SE_Temperature column 29. Missing_Conductivity column 30. Flag_Missing_Conductivity column 31. Percent_Missing_Conductivity column 32. Flag_Percent_Missing_Conductivity column 33. Flagged_Conductivity column 34. Flag_Flagged_Conductivity column 35. Percent_Flagged_Conductivity column 36. Flag_Percent_Flagged_Conductivity column 37. Daily_Num_Conductivity column 38. Flag_Daily_Num_Conductivity column 39. Daily_Min_Conductivity column 40. Flag_Daily_Min_Conductivity column 41. Daily_Max_Conductivity column 42. Flag_Daily_Max_Conductivity column 43. Daily_Mean_Conductivity column 44. Flag_Daily_Mean_Conductivity column 45. Daily_StdDev_Conductivity column 46. Flag_Daily_StdDev_Conductivity column 47. Daily_SE_Conductivity column 48. Flag_Daily_SE_Conductivity column 49. Missing_Pressure column 50. Flag_Missing_Pressure column 51. Percent_Missing_Pressure column 52. Flag_Percent_Missing_Pressure column 53. Flagged_Pressure column 54. Flag_Flagged_Pressure column 55. Percent_Flagged_Pressure column 56. Flag_Percent_Flagged_Pressure column 57. Daily_Num_Pressure column 58. Flag_Daily_Num_Pressure column 59. Daily_Min_Pressure column 60. Flag_Daily_Min_Pressure column 61. Daily_Max_Pressure column 62. Flag_Daily_Max_Pressure column 63. Daily_Mean_Pressure column 64. Flag_Daily_Mean_Pressure column 65. Daily_StdDev_Pressure column 66. Flag_Daily_StdDev_Pressure column 67. Daily_SE_Pressure column 68. Flag_Daily_SE_Pressure column 69. Missing_Depth column 70. Flag_Missing_Depth column 71. Percent_Missing_Depth column 72. Flag_Percent_Missing_Depth column 73. Flagged_Depth column 74. Flag_Flagged_Depth column 75. Percent_Flagged_Depth column 76. Flag_Percent_Flagged_Depth column 77. Daily_Num_Depth column 78. Flag_Daily_Num_Depth column 79. Daily_Min_Depth column 80. Flag_Daily_Min_Depth column 81. Daily_Max_Depth column 82. Flag_Daily_Max_Depth column 83. Daily_Mean_Depth column 84. Flag_Daily_Mean_Depth column 85. Daily_StdDev_Depth column 86. Flag_Daily_StdDev_Depth column 87. Daily_SE_Depth column 88. Flag_Daily_SE_Depth column 89. Missing_Salinity column 90. Flag_Missing_Salinity column 91. Percent_Missing_Salinity column 92. Flag_Percent_Missing_Salinity column 93. Flagged_Salinity column 94. Flag_Flagged_Salinity column 95. Percent_Flagged_Salinity column 96. Flag_Percent_Flagged_Salinity column 97. Daily_Num_Salinity column 98. Flag_Daily_Num_Salinity column 99. Daily_Min_Salinity column 100. Flag_Daily_Min_Salinity column 101. Daily_Max_Salinity column 102. Flag_Daily_Max_Salinity column 103. Daily_Mean_Salinity column 104. Flag_Daily_Mean_Salinity column 105. Daily_StdDev_Salinity column 106. Flag_Daily_StdDev_Salinity column 107. Daily_SE_Salinity column 108. Flag_Daily_SE_Salinity column 109. Missing_Sigma_t column 110. Flag_Missing_Sigma_t column 111. Percent_Missing_Sigma_t column 112. Flag_Percent_Missing_Sigma_t column 113. Flagged_Sigma_t column 114. Flag_Flagged_Sigma_t column 115. Percent_Flagged_Sigma_t column 116. Flag_Percent_Flagged_Sigma_t column 117. Daily_Num_Sigma_t column 118. Flag_Daily_Num_Sigma_t column 119. Daily_Min_Sigma_t column 120. Flag_Daily_Min_Sigma_t column 121. Daily_Max_Sigma_t column 122. Flag_Daily_Max_Sigma_t column 123. Daily_Mean_Sigma_t column 124. Flag_Daily_Mean_Sigma_t column 125. Daily_StdDev_Sigma_t column 126. Flag_Daily_StdDev_Sigma_t column 127. Daily_SE_Sigma_t column 128. 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. QA/QC flags for Number of missing observations of Water temperature (flagging criteria, where "x" is Missing_Temperature: ) column 11. Percent missing observations of Water temperature column 12. QA/QC flags for Percent missing observations of Water temperature (flagging criteria, where "x" is Percent_Missing_Temperature: ) column 13. Number of QC/QA-flagged observations of Water temperature column 14. QA/QC flags for Number of QC/QA-flagged observations of Water temperature (flagging criteria, where "x" is Flagged_Temperature: ) column 15. Percent QC/QA-flagged observations of Water temperature column 16. QA/QC flags for Percent QC/QA-flagged observations of Water temperature (flagging criteria, where "x" is Percent_Flagged_Temperature: ) column 17. Daily Observations of Water temperature column 18. QA/QC flags for Daily Observations of Water temperature (flagging criteria, where "x" is Daily_Num_Temperature: ) column 19. Daily Minimum Water temperature column 20. 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 21. Daily Maximum Water temperature column 22. 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 23. Daily Mean Water temperature column 24. 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 25. Daily Sample Standard Deviation of Water temperature column 26. 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 27. Daily Standard Error of Water temperature column 28. 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 29. Number of missing observations of Conductivity column 30. QA/QC flags for Number of missing observations of Conductivity (flagging criteria, where "x" is Missing_Conductivity: ) column 31. Percent missing observations of Conductivity column 32. QA/QC flags for Percent missing observations of Conductivity (flagging criteria, where "x" is Percent_Missing_Conductivity: ) column 33. Number of QC/QA-flagged observations of Conductivity column 34. QA/QC flags for Number of QC/QA-flagged observations of Conductivity (flagging criteria, where "x" is Flagged_Conductivity: ) column 35. Percent QC/QA-flagged observations of Conductivity column 36. QA/QC flags for Percent QC/QA-flagged observations of Conductivity (flagging criteria, where "x" is Percent_Flagged_Conductivity: ) column 37. Daily Observations of Conductivity column 38. QA/QC flags for Daily Observations of Conductivity (flagging criteria, where "x" is Daily_Num_Conductivity: ) column 39. Daily Minimum Conductivity column 40. 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 41. Daily Maximum Conductivity column 42. 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 43. Daily Mean Conductivity column 44. 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 45. Daily Sample Standard Deviation of Conductivity column 46. 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 47. Daily Standard Error of Conductivity column 48. 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 49. Number of missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 50. QA/QC flags for Number of missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Missing_Pressure: ) column 51. Percent missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 52. QA/QC flags for Percent missing observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Percent_Missing_Pressure: ) column 53. Number of QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 54. QA/QC flags for Number of QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Flagged_Pressure: ) column 55. Percent QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 56. QA/QC flags for Percent QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Percent_Flagged_Pressure: ) column 57. Daily Observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 58. QA/QC flags for Daily Observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) (flagging criteria, where "x" is Daily_Num_Pressure: ) column 59. Daily Minimum Water pressure at sensor (approximately equivalent to water depth within 3% error) column 60. 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 61. Daily Maximum Water pressure at sensor (approximately equivalent to water depth within 3% error) column 62. 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 63. Daily Mean Water pressure at sensor (approximately equivalent to water depth within 3% error) column 64. 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 65. Daily Sample Standard Deviation of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 66. 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 67. Daily Standard Error of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 68. 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 69. Number of missing observations of Water depth to the pressure sensor of the moored sonde column 70. QA/QC flags for Number of missing observations of Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Missing_Depth: ) column 71. Percent missing observations of Water depth to the pressure sensor of the moored sonde column 72. QA/QC flags for Percent missing observations of Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Percent_Missing_Depth: ) column 73. Number of QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde column 74. QA/QC flags for Number of QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Flagged_Depth: ) column 75. Percent QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde column 76. QA/QC flags for Percent QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Percent_Flagged_Depth: ) column 77. Daily Observations of Water depth to the pressure sensor of the moored sonde column 78. QA/QC flags for Daily Observations of Water depth to the pressure sensor of the moored sonde (flagging criteria, where "x" is Daily_Num_Depth: ) column 79. Daily Minimum Water depth to the pressure sensor of the moored sonde column 80. 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 81. Daily Maximum Water depth to the pressure sensor of the moored sonde column 82. 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 83. Daily Mean Water depth to the pressure sensor of the moored sonde column 84. 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 85. Daily Sample Standard Deviation of Water depth to the pressure sensor of the moored sonde column 86. 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 87. Daily Standard Error of Water depth to the pressure sensor of the moored sonde column 88. 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 89. Number of missing observations of Salinity column 90. QA/QC flags for Number of missing observations of Salinity (flagging criteria, where "x" is Missing_Salinity: ) column 91. Percent missing observations of Salinity column 92. QA/QC flags for Percent missing observations of Salinity (flagging criteria, where "x" is Percent_Missing_Salinity: ) column 93. Number of QC/QA-flagged observations of Salinity column 94. QA/QC flags for Number of QC/QA-flagged observations of Salinity (flagging criteria, where "x" is Flagged_Salinity: ) column 95. Percent QC/QA-flagged observations of Salinity column 96. QA/QC flags for Percent QC/QA-flagged observations of Salinity (flagging criteria, where "x" is Percent_Flagged_Salinity: ) column 97. Daily Observations of Salinity column 98. QA/QC flags for Daily Observations of Salinity (flagging criteria, where "x" is Daily_Num_Salinity: ) column 99. Daily Minimum Salinity column 100. 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 101. Daily Maximum Salinity column 102. 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 103. Daily Mean Salinity column 104. 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 105. Daily Sample Standard Deviation of Salinity column 106. 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 107. Daily Standard Error of Salinity column 108. 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 109. Number of missing observations of Sigma-t (i.e. Density-1) column 110. QA/QC flags for Number of missing observations of Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Missing_Sigma_t: ) column 111. Percent missing observations of Sigma-t (i.e. Density-1) column 112. QA/QC flags for Percent missing observations of Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Percent_Missing_Sigma_t: ) column 113. Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1) column 114. QA/QC flags for Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Flagged_Sigma_t: ) column 115. Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1) column 116. QA/QC flags for Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Percent_Flagged_Sigma_t: ) column 117. Daily Observations of Sigma-t (i.e. Density-1) column 118. QA/QC flags for Daily Observations of Sigma-t (i.e. Density-1) (flagging criteria, where "x" is Daily_Num_Sigma_t: ) column 119. Daily Minimum Sigma-t (i.e. Density-1) column 120. 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 121. Daily Maximum Sigma-t (i.e. Density-1) column 122. 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 123. Daily Mean Sigma-t (i.e. Density-1) column 124. 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 125. Daily Sample Standard Deviation of Sigma-t (i.e. Density-1) column 126. 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 127. Daily Standard Error of Sigma-t (i.e. Density-1) column 128. 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 column 6. YYYY column 7. MM column 8. DD column 9. count column 10. none column 11. % column 12. none column 13. count column 14. none column 15. % column 16. none column 17. count column 18. none column 19. °C column 20. none column 21. °C column 22. none column 23. °C column 24. none column 25. °C column 26. none column 27. °C column 28. none column 29. count column 30. none column 31. % column 32. none column 33. count column 34. none column 35. % column 36. none column 37. count column 38. none column 39. S/m column 40. none column 41. S/m column 42. none column 43. S/m column 44. none column 45. S/m column 46. none column 47. S/m column 48. none column 49. count column 50. none column 51. % column 52. none column 53. count column 54. none column 55. % column 56. none column 57. count column 58. none column 59. dbar column 60. none column 61. dbar column 62. none column 63. dbar column 64. none column 65. dbar column 66. none column 67. dbar column 68. none column 69. count column 70. none column 71. % column 72. none column 73. count column 74. none column 75. % column 76. none column 77. count column 78. none column 79. m column 80. none column 81. m column 82. none column 83. m column 84. none column 85. m column 86. none column 87. m column 88. none column 89. count column 90. none column 91. % column 92. none column 93. count column 94. none column 95. % column 96. none column 97. count column 98. none column 99. PSU column 100. none column 101. PSU column 102. none column 103. PSU column 104. none column 105. PSU column 106. none column 107. PSU column 108. none column 109. count column 110. none column 111. % column 112. none column 113. count column 114. none column 115. % column 116. none column 117. count column 118. none column 119. kg/m^3 column 120. none column 121. kg/m^3 column 122. none column 123. kg/m^3 column 124. none column 125. kg/m^3 column 126. none column 127. kg/m^3 column 128. 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. string column 11. floating-point column 12. string column 13. integer column 14. string column 15. floating-point column 16. string column 17. integer column 18. string column 19. floating-point column 20. string column 21. floating-point column 22. string column 23. floating-point column 24. string column 25. floating-point column 26. string column 27. floating-point column 28. string column 29. integer column 30. string column 31. floating-point column 32. string column 33. integer column 34. string column 35. floating-point column 36. string column 37. integer column 38. string column 39. floating-point column 40. string column 41. floating-point column 42. string column 43. floating-point column 44. string column 45. floating-point column 46. string column 47. floating-point column 48. string column 49. integer column 50. string column 51. floating-point column 52. string column 53. integer column 54. string column 55. floating-point column 56. string column 57. integer column 58. string 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. string column 71. floating-point column 72. string column 73. integer column 74. string column 75. floating-point column 76. string column 77. integer column 78. string column 79. floating-point column 80. string column 81. floating-point column 82. string column 83. floating-point column 84. string column 85. floating-point column 86. string column 87. floating-point column 88. string column 89. integer column 90. string column 91. floating-point column 92. string column 93. integer column 94. string column 95. floating-point column 96. string column 97. integer column 98. string column 99. floating-point column 100. string column 101. floating-point column 102. string column 103. floating-point column 104. string column 105. floating-point column 106. string column 107. floating-point column 108. string column 109. integer column 110. string column 111. floating-point column 112. string column 113. integer column 114. string column 115. floating-point column 116. string column 117. integer column 118. string column 119. floating-point column 120. string column 121. floating-point column 122. string column 123. floating-point column 124. string column 125. floating-point column 126. string column 127. floating-point column 128. string b. Variable Codes: 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_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. 3 to 3 column 2. (none) column 3. -81.2108 to -81.2108 column 4. 31.5483 to 31.5483 column 5. (none) column 6. 2017 to 2017 column 7. 1 to 12 column 8. 1 to 31 column 9. 0 to 0 column 10. (none) column 11. 0 to 0 column 12. (none) column 13. 0 to 1 column 14. (none) column 15. 0 to 2.0408 column 16. (none) column 17. 48 to 48 column 18. (none) column 19. 10.144 to 30.521 column 20. (none) column 21. 11.1126 to 32.0354 column 22. (none) column 23. 10.7067 to 31.0341 column 24. (none) column 25. 0.064383 to 0.9041 column 26. (none) column 27. 0.0092929 to 0.1305 column 28. (none) column 29. 0 to 48 column 30. (none) column 31. 0 to 100 column 32. (none) column 33. 0 to 48 column 34. (none) column 35. 0 to 50 column 36. (none) column 37. 0 to 48 column 38. (none) column 39. 2.9474 to 5.1587 column 40. (none) column 41. 3.3248 to 5.7334 column 42. (none) column 43. 3.2785 to 5.4772 column 44. (none) column 45. 0.0095756 to 0.26252 column 46. (none) column 47. 0.0013821 to 0.037892 column 48. (none) column 49. 0 to 0 column 50. (none) column 51. 0 to 0 column 52. (none) column 53. 0 to 1 column 54. (none) column 55. 0 to 2.0408 column 56. (none) column 57. 48 to 48 column 58. (none) column 59. 0.236 to 2.196 column 60. (none) column 61. 2.948 to 4.546 column 62. (none) column 63. 1.8363 to 3.4036 column 64. (none) column 65. 0.47889 to 1.0357 column 66. (none) column 67. 0.069122 to 0.14949 column 68. (none) column 69. 0 to 0 column 70. (none) column 71. 0 to 0 column 72. (none) column 73. 0 to 1 column 74. (none) column 75. 0 to 2.0408 column 76. (none) column 77. 48 to 48 column 78. (none) column 79. 0.23436 to 2.1808 column 80. (none) column 81. 2.9275 to 4.5144 column 82. (none) column 83. 1.8235 to 3.38 column 84. (none) column 85. 0.47557 to 1.0285 column 86. (none) column 87. 0.068642 to 0.14846 column 88. (none) column 89. 0 to 48 column 90. (none) column 91. 0 to 100 column 92. (none) column 93. 0 to 48 column 94. (none) column 95. 0 to 50 column 96. (none) column 97. 0 to 48 column 98. (none) column 99. 22.8523 to 30.9688 column 100. (none) column 101. 28.0993 to 34.7759 column 102. (none) column 103. 26.9328 to 32.3661 column 104. (none) column 105. 0.0078966 to 1.8763 column 106. (none) column 107. 0.0011398 to 0.27082 column 108. (none) column 109. 0 to 48 column 110. (none) column 111. 0 to 100 column 112. (none) column 113. 0 to 48 column 114. (none) column 115. 0 to 50 column 116. (none) column 117. 0 to 48 column 118. (none) column 119. 15.7775 to 23.6872 column 120. (none) column 121. 18.5249 to 24.7736 column 122. (none) column 123. 17.724 to 24.1196 column 124. (none) column 125. 0.025456 to 1.4463 column 126. (none) column 127. 0.0036742 to 0.20875 column 128. (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. text column 11. numerical column 12. text column 13. numerical column 14. text column 15. numerical column 16. text column 17. numerical column 18. text column 19. numerical column 20. text column 21. numerical column 22. text column 23. numerical column 24. text column 25. numerical column 26. text column 27. numerical column 28. text 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. text column 41. numerical column 42. text column 43. numerical column 44. text column 45. numerical column 46. text column 47. numerical column 48. text column 49. numerical column 50. text column 51. numerical column 52. text column 53. numerical column 54. text column 55. numerical column 56. text column 57. numerical column 58. text 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. text column 71. numerical column 72. text column 73. numerical column 74. text column 75. numerical column 76. text column 77. numerical column 78. text column 79. numerical column 80. text column 81. numerical column 82. text column 83. numerical column 84. text column 85. numerical column 86. text column 87. numerical column 88. text 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 column 99. numerical column 100. text column 101. numerical column 102. text column 103. numerical column 104. text column 105. numerical column 106. text column 107. numerical column 108. text column 109. numerical column 110. text column 111. numerical column 112. text column 113. numerical column 114. text column 115. numerical column 116. text column 117. numerical column 118. text column 119. numerical column 120. text column 121. numerical column 122. text column 123. numerical column 124. text column 125. numerical column 126. text column 127. numerical column 128. text b. Number of Columns: 128 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. 0 column 11. 2 column 12. 0 column 13. 0 column 14. 0 column 15. 2 column 16. 0 column 17. 0 column 18. 0 column 19. 3 column 20. 0 column 21. 3 column 22. 0 column 23. 4 column 24. 0 column 25. 4 column 26. 0 column 27. 5 column 28. 0 column 29. 0 column 30. 0 column 31. 2 column 32. 0 column 33. 0 column 34. 0 column 35. 2 column 36. 0 column 37. 0 column 38. 0 column 39. 3 column 40. 0 column 41. 3 column 42. 0 column 43. 4 column 44. 0 column 45. 4 column 46. 0 column 47. 5 column 48. 0 column 49. 0 column 50. 0 column 51. 2 column 52. 0 column 53. 0 column 54. 0 column 55. 2 column 56. 0 column 57. 0 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. 0 column 71. 2 column 72. 0 column 73. 0 column 74. 0 column 75. 2 column 76. 0 column 77. 0 column 78. 0 column 79. 3 column 80. 0 column 81. 3 column 82. 0 column 83. 4 column 84. 0 column 85. 4 column 86. 0 column 87. 5 column 88. 0 column 89. 0 column 90. 0 column 91. 2 column 92. 0 column 93. 0 column 94. 0 column 95. 2 column 96. 0 column 97. 0 column 98. 0 column 99. 3 column 100. 0 column 101. 3 column 102. 0 column 103. 4 column 104. 0 column 105. 4 column 106. 0 column 107. 5 column 108. 0 column 109. 0 column 110. 0 column 111. 2 column 112. 0 column 113. 0 column 114. 0 column 115. 2 column 116. 0 column 117. 0 column 118. 0 column 119. 3 column 120. 0 column 121. 3 column 122. 0 column 123. 4 column 124. 0 column 125. 4 column 126. 0 column 127. 5 column 128. 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. coded value (none) column 11. calculation (continuous) column 12. coded value (none) column 13. calculation (discrete) column 14. coded value (none) column 15. calculation (continuous) column 16. coded value (none) column 17. calculation (discrete) column 18. coded value (none) column 19. calculation (continuous) column 20. coded value (none) column 21. calculation (continuous) column 22. coded value (none) column 23. calculation (continuous) column 24. coded value (none) column 25. calculation (continuous) column 26. coded value (none) column 27. calculation (continuous) column 28. coded value (none) column 29. calculation (discrete) column 30. coded value (none) column 31. calculation (continuous) column 32. coded value (none) column 33. calculation (discrete) column 34. coded value (none) column 35. calculation (continuous) column 36. coded value (none) column 37. calculation (discrete) column 38. coded value (none) column 39. calculation (continuous) column 40. coded value (none) column 41. calculation (continuous) column 42. coded value (none) column 43. calculation (continuous) column 44. coded value (none) column 45. calculation (continuous) column 46. coded value (none) column 47. calculation (continuous) column 48. coded value (none) column 49. calculation (discrete) column 50. coded value (none) column 51. calculation (continuous) column 52. coded value (none) column 53. calculation (discrete) column 54. coded value (none) column 55. calculation (continuous) column 56. coded value (none) column 57. calculation (discrete) column 58. coded value (none) 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. coded value (none) column 71. calculation (continuous) column 72. coded value (none) column 73. calculation (discrete) column 74. coded value (none) column 75. calculation (continuous) column 76. coded value (none) column 77. calculation (discrete) column 78. coded value (none) column 79. calculation (continuous) column 80. coded value (none) column 81. calculation (continuous) column 82. coded value (none) column 83. calculation (continuous) column 84. coded value (none) column 85. calculation (continuous) column 86. coded value (none) column 87. calculation (continuous) column 88. coded value (none) column 89. calculation (discrete) column 90. coded value (none) column 91. calculation (continuous) column 92. coded value (none) column 93. calculation (discrete) column 94. coded value (none) column 95. calculation (continuous) column 96. coded value (none) column 97. calculation (discrete) column 98. coded value (none) column 99. calculation (continuous) column 100. coded value (none) column 101. calculation (continuous) column 102. coded value (none) column 103. calculation (continuous) column 104. coded value (none) column 105. calculation (continuous) column 106. coded value (none) column 107. calculation (continuous) column 108. coded value (none) column 109. calculation (discrete) column 110. coded value (none) column 111. calculation (continuous) column 112. coded value (none) column 113. calculation (discrete) column 114. coded value (none) column 115. calculation (continuous) column 116. coded value (none) column 117. calculation (discrete) column 118. coded value (none) column 119. calculation (continuous) column 120. coded value (none) column 121. calculation (continuous) column 122. coded value (none) column 123. calculation (continuous) column 124. coded value (none) column 125. calculation (continuous) column 126. coded value (none) column 127. calculation (continuous) column 128. 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. none column 15. none column 16. none column 17. none column 18. none column 19. col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen t_Flagged_Temperature>35="Q" column 20. none column 21. col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen t_Flagged_Temperature>35="Q" column 22. none column 23. col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen t_Flagged_Temperature>35="Q" column 24. none column 25. col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen t_Flagged_Temperature>35="Q" column 26. none column 27. col_Percent_Missing_Temperature>35="I";col_Percent_Missing_Temperature>15="Q";col_Percen t_Flagged_Temperature>35="Q" column 28. none column 29. none column 30. none column 31. none column 32. none column 33. none column 34. none column 35. none column 36. none column 37. none column 38. none column 39. col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc ent_Flagged_Conductivity>35="Q" column 40. none column 41. col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc ent_Flagged_Conductivity>35="Q" column 42. none column 43. col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc ent_Flagged_Conductivity>35="Q" column 44. none column 45. col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc ent_Flagged_Conductivity>35="Q" column 46. none column 47. col_Percent_Missing_Conductivity>35="I";col_Percent_Missing_Conductivity>15="Q";col_Perc ent_Flagged_Conductivity>35="Q" column 48. none column 49. none column 50. none column 51. none column 52. none column 53. none column 54. none column 55. none column 56. none column 57. none column 58. none column 59. col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag ged_Pressure>35="Q" column 60. none column 61. col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag ged_Pressure>35="Q" column 62. none column 63. col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag ged_Pressure>35="Q" column 64. none column 65. col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag ged_Pressure>35="Q" column 66. none column 67. col_Percent_Missing_Pressure>35="I";col_Percent_Missing_Pressure>15="Q";col_Percent_Flag ged_Pressure>35="Q" column 68. none column 69. none column 70. none column 71. none column 72. none column 73. none column 74. none column 75. none column 76. none column 77. none column 78. none column 79. col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De pth>35="Q" column 80. none column 81. col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De pth>35="Q" column 82. none column 83. col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De pth>35="Q" column 84. none column 85. col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De pth>35="Q" column 86. none column 87. col_Percent_Missing_Depth>35="I";col_Percent_Missing_Depth>15="Q";col_Percent_Flagged_De pth>35="Q" column 88. none column 89. none column 90. none column 91. none column 92. none column 93. none column 94. none column 95. none column 96. none column 97. none column 98. none column 99. col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag ged_Salinity>35="Q" column 100. none column 101. col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag ged_Salinity>35="Q" column 102. none column 103. col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag ged_Salinity>35="Q" column 104. none column 105. col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag ged_Salinity>35="Q" column 106. none column 107. col_Percent_Missing_Salinity>35="I";col_Percent_Missing_Salinity>15="Q";col_Percent_Flag ged_Salinity>35="Q" column 108. none column 109. none column 110. none column 111. none column 112. none column 113. none column 114. none column 115. none column 116. none column 117. none column 118. none column 119. col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge d_Sigma_t>35="Q" column 120. none column 121. col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge d_Sigma_t>35="Q" column 122. none column 123. col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge d_Sigma_t>35="Q" column 124. none column 125. col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge d_Sigma_t>35="Q" column 126. none column 127. col_Percent_Missing_Sigma_t>35="I";col_Percent_Missing_Sigma_t>15="Q";col_Percent_Flagge d_Sigma_t>35="Q" column 128. none C. Data Anomalies: Values of 39 records in Daily_Min_Conductivity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Min_Conductivity were flagged as Q (questionable value). Values of 34 records in Daily_Min_Conductivity are missing. Values of 39 records in Daily_Max_Conductivity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Max_Conductivity were flagged as Q (questionable value). Values of 34 records in Daily_Max_Conductivity are missing. Values of 39 records in Daily_Mean_Conductivity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Mean_Conductivity were flagged as Q (questionable value). Values of 34 records in Daily_Mean_Conductivity are missing. Values of 39 records in Daily_StdDev_Conductivity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_StdDev_Conductivity were flagged as Q (questionable value). Values of 34 records in Daily_StdDev_Conductivity are missing. Values of 39 records in Daily_SE_Conductivity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_SE_Conductivity were flagged as Q (questionable value). Values of 34 records in Daily_SE_Conductivity are missing. Values of 39 records in Daily_Min_Salinity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Min_Salinity were flagged as Q (questionable value). Values of 34 records in Daily_Min_Salinity are missing. Values of 39 records in Daily_Max_Salinity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Max_Salinity were flagged as Q (questionable value). Values of 34 records in Daily_Max_Salinity are missing. Values of 39 records in Daily_Mean_Salinity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Mean_Salinity were flagged as Q (questionable value). Values of 34 records in Daily_Mean_Salinity are missing. Values of 39 records in Daily_StdDev_Salinity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_StdDev_Salinity were flagged as Q (questionable value). Values of 34 records in Daily_StdDev_Salinity are missing. Values of 39 records in Daily_SE_Salinity were flagged as I (invalid value (out of range)). Values of 12 records in Daily_SE_Salinity were flagged as Q (questionable value). Values of 34 records in Daily_SE_Salinity are missing. Values of 39 records in Daily_Min_Sigma_t were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Min_Sigma_t were flagged as Q (questionable value). Values of 34 records in Daily_Min_Sigma_t are missing. Values of 39 records in Daily_Max_Sigma_t were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Max_Sigma_t were flagged as Q (questionable value). Values of 34 records in Daily_Max_Sigma_t are missing. Values of 39 records in Daily_Mean_Sigma_t were flagged as I (invalid value (out of range)). Values of 12 records in Daily_Mean_Sigma_t were flagged as Q (questionable value). Values of 34 records in Daily_Mean_Sigma_t are missing. Values of 39 records in Daily_StdDev_Sigma_t were flagged as I (invalid value (out of range)). Values of 12 records in Daily_StdDev_Sigma_t were flagged as Q (questionable value). Values of 34 records in Daily_StdDev_Sigma_t are missing. Values of 39 records in Daily_SE_Sigma_t were flagged as I (invalid value (out of range)). Values of 12 records in Daily_SE_Sigma_t were flagged as Q (questionable value). Values of 34 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