I. Data Set Descriptors A. Title: Daniela Di Iorio. 2023. Continuous salinity, temperature and depth measurements from moored hydrographic data loggers deployed at GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2022 through 31-Dec-2022. Georgia Coastal Ecosystems LTER Data Catalog (data set PHY-GCEM-2311b; /data/PHY-GCEM-2311b) B. Accession Number: PHY-GCEM-2311b 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 GCE2_Hydro (Four Mile Island, Georgia) from 01-Jan-2022 through 31-Dec-2022. Observations were logged at 30 minute intervals by moored Sea-Bird Electronics MicroCAT 37-SM data loggers and downloaded approximately quarterly. Salinity, depth and sigma-t (density anomaly) were calculated from the measured parameters using standard UNESCO algorithms. This data set was collected as part of the GCE-LTER Project continuous salinity, temperature and water level monitoring program. 3. Study Type: Monitoring 4. Study Themes: Physical Oceanography 5. LTER Core Areas: Other Site Research 6. Georeferences: geographic coordinates as data columns 7. Submission Date: Mar 03, 2023 D. Keywords: conductivity, density, depth, GCE, Georgia, Georgia Coastal Ecosystems, Hydrographic Moorings, hydrography, Inorganic Fluxes, inorganic nutrients, LTER, monitoring, mooring, pressure, salinity, Sapelo Island, sonde, temperature, USA, water column, water quality II. Research Origin Descriptors A. Overall Project Description 1. Project Title: Georgia Coastal Ecosystems LTER - IV 2. Principal Investigators: Name: Merryl Alber Address: Dept. of Marine Sciences University of Georgia Athens, Georgia 30602-3636 Country: USA Email: malber@uga.edu 3. Funding Period: Feb 01, 2019 to Jan 31, 2025 4. Objectives: The GCE-LTER project has four goals. 1) Track environmental and human drivers that can cause perturbations in our focal ecosystems. This will be accomplished this through continuing long-term measurements of climate, water chemistry, oceanic exchange, and human activities on the landscape. 2) Describe temporal and spatial variability in physical, chemical, geological and biological characteristics of the study system (coastal wetland complexes) and how they respond to external drivers. This will be accomplished through field monitoring in combination with remote sensing and modeling. 3) Characterize the ecological responses of intertidal marshes to disturbance. This will be accomplished by ongoing monitoring and experimental work to evaluate system responses to major perturbations in three key marsh habitats (changes in inundation and predator exclusion in Spartina-dominated salt marshes; increases in salinity in fresh marshes; changes in runoff in high marshes), by implementing standardized experimental disturbances along salinity and elevation gradients, and by tracking responses to natural disturbances. 4) Evaluate ecosystem properties at the landscape level (habitat distribution, net and gross primary production, C budgets) and assess the cumulative effects of disturbance on these properties. The project will also develop relationships between drivers and response variables, which can be used to predict the effects of future changes. This will be accomplished through a combination of data synthesis, remote sensing and modeling. 5. Abstract: The Georgia Coastal Ecosystems (GCE) Long Term Ecological Research (LTER) program, based at the University of Georgia Marine Institute on Sapelo Island, Georgia, was established in 2000 to study long-term change in coastal ecosystems. Estuaries (places where salt water from the ocean mixes with fresh water from the land) and their adjacent marshes provide food and refuge for fish, shellfish and birds; protect the shoreline from storms; help to keep the water clean; and store carbon. The GCE LTER researchers study marshes and estuaries to understand how these ecosystems function, to track how they change over time, and to predict how they might be affected by future changes in climate and human activities. They accomplish this by tracking the major factors that can cause long-term change in coastal areas (e.g. sea level, rainfall, upstream development), and measuring the effects of these factors on the study site. They also conduct focused studies to assess how key marsh habitats will respond to major changes expected in the future, including large-scale experiments to evaluate the effects of a) increases in the salinity of the water that floods freshwater marshes (mimicking drought and/or sea level rise), b) changes in water runoff from land into the upland marsh border (mimicking drought or upland development), and c) exclusion of larger organisms in the salt marsh (mimicking long-term declines in predators). During this award they will initiate additional studies to systematically evaluate how coastal wetlands respond to disturbances. Disturbances, or disruptions in the environment, are particularly important to understand in the context of long-term background changes such as increasing sea level, and GCE researchers are working to assess the cumulative effects of multiple disturbances on the landscape. The GCE education and outreach program works to share an understanding of coastal ecosystems with teachers and students, coastal managers, citizen scientist and the general public. 6. Funding Source: NSF OCE 1832178 B. Sub-project Description 1. Site Description a. Geographic Location: GCE-SP -- Sapelo River, Georgia, USA GCE2_Hydro -- Four Mile Island 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 GCE2_Hydro -- 81 19 11.8 W, 31 32 41.8 N b. Physiographic Region: GCE-SP -- Estuary and tidal marsh GCE2_Hydro -- Estuary and tidal marsh c. Landform Components: GCE-SP -- Intertidal marsh bordering sounds, tidal channels and creeks GCE2_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. GCE2_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 GCE2_Hydro -- Flat, with elevations ranging from 0-3.4m above mean low tide f. Geology, Lithology and Soils: GCE-SP -- unspecified GCE2_Hydro -- unspecified g. Vegetation Communities: GCE-SP -- unspecified GCE2_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, 2022 End of Observations: Dec 31, 2022 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 2539, with pump) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: May 06, 2021 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 3342) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Aug 11, 2020 Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0 to 7 S/m) Protocol: Prior to each timed measurement the conductivity cell is opened and water is pumped for 0.5 sec, then conductivity is measured using an ultra-precision Wien-Bridge oscillator with frequency counted by a high-stability reference crystal (<2 ppm/year drift rate). The cell is closed between measurements and tributyl tin antifoulant is released into the tubing. Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to 20m) Protocol: Pressure is measured using a micro-machined silicon diaphragm with embedded strain elements, and temperature compensation is performed by the SBE MicroCAT onboard cpu. Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range: -5 to 35°C) Protocol: Temperature is measured by applying an AC excitation to a hermetically-sealed VISHAY reference resistor and an ultra-stable aged thermistor (drift rate typically less than 0.002°C/year). SBE MicroCAT 37-SM (S/N 1793) Manufacturer: Sea-Bird Electronics (Model: 37-SM MicroCAT) Last Calibration: Jul 28, 2019 Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0 to 7 S/m) Protocol: Water passively circulates through an open internal-field conductivity cell equipped with an external tributyl tin antifoulant dispenser, and conductivity is measured using an ultra-precision Wien-Bridge oscillator with frequency counted by a high-stability reference crystal (<2 ppm/year drift rate). Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to 20m) Protocol: Pressure is measured using a micro-machined silicon diaphragm with embedded strain elements, and temperature compensation is performed by the SBE MicroCAT onboard cpu. Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range: -5 to 35°C) Protocol: Temperature is measured by applying an AC excitation to a hermetically-sealed VISHAY reference resistor and an ultra-stable aged thermistor (drift rate typically less than 0.002°C/year). 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: Aug 04, 2019 Parameter: Conductivity (Accuracy: 0.0003 S/m, Readability: 0.00001 S/m, Range: 0 to 7 S/m) Protocol: Prior to each timed measurement the conductivity cell is opened and water is pumped for 0.5 sec, then conductivity is measured using an ultra-precision Wien-Bridge oscillator with frequency counted by a high-stability reference crystal (<2 ppm/year drift rate). The cell is closed between measurements and tributyl tin antifoulant is released into the tubing. Parameter: Pressure (water) (Accuracy: 0.2m, Readability: 0.0004m, Range: 0 to 20m) Protocol: Pressure is measured using a micro-machined silicon diaphragm with embedded strain elements, and temperature compensation is performed by the SBE MicroCAT onboard cpu. Parameter: Temperature (water) (Accuracy: 0.002°C, Readability: 0.0001°C, Range: -5 to 35°C) Protocol: Temperature is measured by applying an AC excitation to a hermetically-sealed VISHAY reference resistor and an ultra-stable aged thermistor (drift rate typically less than 0.002°C/year). Method 2: none Method 3: none Method 4: none d. Taxonomy and Systematics: Method 1: Method 2: Method 3: Method 4: e. Speclies List: f. Permit History: Method 1: none Method 2: none Method 3: none Method 4: none 4. Project Personnel a. Personnel: 1: Daniela Di Iorio 2: Wade M. Sheldon, Jr. 3: Adam Sapp 4: John Thomas Williams 5: Jonah Michael Rigdon 6: Laura Price Hollander b. Affiliations: 1: University of Georgia, Athens, Georgia 2: University of Georgia, Athens, Georgia 3: University of Georgia, Athens, Georgia 4: University of Georgia Marine Institute, Sapelo Island, GA 5: University of Georgia Marine Institute 6: University of Georgia, Sapelo Island, Georgia III. Data Set Status and Accessibility A. Status 1. Latest Update: 03-Mar-2024 2. Latest Archive Date: 03-Mar-2024 3. Latest Metadata Update: 03-Mar-2024 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: Mar 03, 2023, Public: Mar 03, 2024 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-2311b) 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-2311b_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, E = data value estimated by interpolation 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 3.9.10 (23-May-2022) Data structure version: GCE Data Structure 1.1 (29-Mar-2001) Original data files processed: 02220342.asc (5717 records) 02220680.cnv (4658 records) 022209299.cnv (4331 records) 02221260.cnv (4180 records) 02230374.cnv (4902 records) Data processing history: 22-Mar-2022: data uploaded from SBE 37-SM MicroCAT using SEATERM software version 1.59 04-Apr-2022: new GCE Data Structure 1.1 created ('newstruct') 04-Apr-2022: data imported from processed SBE SM-37 sonde data file '02220342.asc' (5717 records) ('imp_gcesonde') 04-Apr-2022: deleted column Second from the structure ('deletecols') 04-Apr-2022: 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') 04-Apr-2022: added column 'Instrument' at position 1 ('addcol') 04-Apr-2022: added column 'Latitude' at position 1 ('addcol') 04-Apr-2022: Q/C flagging criteria applied for column(s) Latitude, 'flags' field updated ('dataflag') 04-Apr-2022: added column 'Longitude' at position 1 ('addcol') 04-Apr-2022: Q/C flagging criteria applied for column(s) Longitude, 'flags' field updated ('dataflag') 04-Apr-2022: added column 'Site' at position 1 ('addcol') 04-Apr-2022: matched 5717 out of 5717 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) 04-Apr-2022: added column 'Station' at position 2 ('addcol') 04-Apr-2022: Q/C flagging criteria applied for column(s) Station, 'flags' field updated ('dataflag') 04-Apr-2022: added geographic metadata based on matching values in column Station to location and station names registered in 'geo_locations.mat' ('add_sitemetadata') 04-Apr-2022: updated 8 metadata fields in the Site sections ('addmeta') 04-Apr-2022: added column 'Calibration' at position 18 ('addcol') 04-Apr-2022: Q/C flagging criteria applied for column(s) Calibration, 'flags' field updated ('dataflag') 04-Apr-2022: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 04-Apr-2022: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 04-Apr-2022: edited structure data ('ui_datagrid'): deleted record(s) 1, 2, 3, 5714, 5715, 5716 and 5717 04-Apr-2022: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 04-Apr-2022: QA/QC flags assigned by visual inspection (ui_visualqc); flags cleared on Temperature record(s): 2185, 2210, 3526 and 3527; flags cleared on Conductivity record(s): 2185, 2210, 3526 and 3527 04-Apr-2022: 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') 04-Apr-2022: deleted the following rows with values in column(s) Pressure or Depth assigned QA/QC flag(s) X (excise row flag): 2855, 2856 and 3602. ('cullflags') 04-Apr-2022: inserted 3 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Site, Station, Longitude, Latitude, Instrument and Calibration) to fill in date/time interval gaps in the data series ('pad_date_gaps') 04-Apr-2022: sorted by column Date(ascending) ('sortdata') 04-Apr-2022: deleted existing datetime columns Year, Month, Day, Hour and Minute; updated Year, Month, Day, Hour and Minute datetime columns added after column Date ('add_datepartcols') 04-Apr-2022: updated 1 metadata fields in the Data sections ('addmeta') 04-Apr-2022: sorted by column Date(ascending) ('sortdata') 04-Apr-2022: replaced 3 missing values in column Temperature with estimated values based on 1D interpolation of Temperature as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Temperature' were updated with new values ('update_data'): changed record 2855 from NaN to 13.080, changed record 2856 from NaN to 13.017, changed record 3602 from NaN to 10.017 04-Apr-2022: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 04-Apr-2022: replaced 3 missing values in column Conductivity with estimated values based on 1D interpolation of Conductivity as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Conductivity' were updated with new values ('update_data'): changed record 2855 from NaN to 3.149, changed record 2856 from NaN to 3.143, changed record 3602 from NaN to 2.924 04-Apr-2022: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 04-Apr-2022: replaced 3 missing values in column Pressure with estimated values based on 1D interpolation of Pressure as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Pressure' were updated with new values ('update_data'): changed record 2855 from NaN to 0.109, changed record 2856 from NaN to 0.139, changed record 3602 from NaN to 0.782 04-Apr-2022: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 04-Apr-2022: replaced 3 missing values in column Depth with estimated values based on 1D interpolation of Depth as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Depth' were updated with new values ('update_data'): changed record 2855 from NaN to 0.108, changed record 2856 from NaN to 0.138, changed record 3602 from NaN to 0.776 04-Apr-2022: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 04-Apr-2022: replaced 3 missing values in column Salinity with estimated values based on 1D interpolation of Salinity as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Salinity' were updated with new values ('update_data'): changed record 2855 from NaN to 26.109, changed record 2856 from NaN to 26.100, changed record 3602 from NaN to 26.105 04-Apr-2022: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 04-Apr-2022: replaced 3 missing values in column Sigma_t with estimated values based on 1D interpolation of Sigma_t as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 04-Apr-2022: 3 values in 'Sigma_t' were updated with new values ('update_data'): changed record 2855 from NaN to 19.509, changed record 2856 from NaN to 19.512, changed record 3602 from NaN to 20.017 04-Apr-2022: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 04-Apr-2022: query 'Year==2022' run, returned 3638 of 5710 data rows ('querydata') 04-Apr-2022: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 04-Apr-2022: manually edited data set metadata ('ui_editmetadata') 04-Apr-2022: edited data set title in structure and metadata ('ui_editor') 13-Oct-2022: 4647 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 24080 deployed at GCE2_Hydro (Four Mile Island hydrographic datalogger deployment) from 17-Mar-2022 to 22-Jun-2022' ('datamerge') 13-Oct-2022: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 13-Oct-2022: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 13-Oct-2022: 4319 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 22299 deployed at GCE2_Hydro (Four Mile Island hydrographic datalogger deployment) from 22-Jun-2022 to 20-Sep-2022' ('datamerge') 13-Oct-2022: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement sections ('addmeta') 13-Oct-2022: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 13-Oct-2022: manually edited data set metadata ('ui_editmetadata') 13-Oct-2022: edited data set title in structure and metadata ('ui_editor') 13-Oct-2022: inserted 4 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Site, Station, Longitude, Latitude, Instrument and Calibration) to fill in date/time interval gaps in the data series ('pad_date_gaps') 13-Oct-2022: sorted by column Date(ascending) ('sortdata') 13-Oct-2022: 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-Oct-2022: updated 1 metadata fields in the Data sections ('addmeta') 13-Oct-2022: sorted by columns Site(ascending), Station(ascending), Longitude(ascending), Latitude(ascending), Date(ascending) ('sortdata') 13-Oct-2022: sorted by columns Site(ascending), Station(ascending), Longitude(ascending), Latitude(ascending) ('sortdata') 13-Oct-2022: replaced 4 missing values in column Temperature with estimated values 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') 13-Oct-2022: 4 values in 'Temperature' were updated with new values ('update_data'): changed record 3639 from NaN to 18.555, changed record 8287 from NaN to 29.059, changed record 8288 from NaN to 29.138, changed record 8289 from NaN to 29.203 13-Oct-2022: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 13-Oct-2022: replaced 4 missing values in column Conductivity with estimated values 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') 13-Oct-2022: 4 values in 'Conductivity' were updated with new values ('update_data'): changed record 3639 from NaN to 3.456, changed record 8287 from NaN to 4.660, changed record 8288 from NaN to 4.678, changed record 8289 from NaN to 4.697 13-Oct-2022: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 13-Oct-2022: replaced 4 missing values in column Pressure with estimated values 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') 13-Oct-2022: 4 values in 'Pressure' were updated with new values ('update_data'): changed record 3639 from NaN to 0.482, changed record 8287 from NaN to 0.709, changed record 8288 from NaN to 0.871, changed record 8289 from NaN to 1.086 13-Oct-2022: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 13-Oct-2022: replaced 4 missing values in column Depth with estimated values 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') 13-Oct-2022: 4 values in 'Depth' were updated with new values ('update_data'): changed record 3639 from NaN to 0.479, changed record 8287 from NaN to 0.704, changed record 8288 from NaN to 0.864, changed record 8289 from NaN to 1.079 13-Oct-2022: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 13-Oct-2022: replaced 4 missing values in column Salinity with estimated values 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') 13-Oct-2022: 4 values in 'Salinity' were updated with new values ('update_data'): changed record 3639 from NaN to 25.199, changed record 8287 from NaN to 27.731, changed record 8288 from NaN to 27.806, changed record 8289 from NaN to 27.892 13-Oct-2022: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 13-Oct-2022: replaced 4 missing values in column Sigma_t with estimated values 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') 13-Oct-2022: 4 values in 'Sigma_t' were updated with new values ('update_data'): changed record 3639 from NaN to 17.656, changed record 8287 from NaN to 16.600, changed record 8288 from NaN to 16.633, changed record 8289 from NaN to 16.677 13-Oct-2022: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 01-Aug-2023: 4171 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 24060 deployed at GCE2_Hydro (Four Mile Island hydrographic datalogger deployment) from 20-Sep-2022 to 16-Dec-2022' ('datamerge') 01-Aug-2023: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement section(s) ('addmeta') 01-Aug-2023: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 01-Aug-2023: 4896 rows added at the bottom of the data set from 'Data from Sea-Bird Electronics 37-SM MicroCAT sonde S/N 24074 deployed at GCE2_Hydro (Four Mile Island hydrographic datalogger deployment) from 16-Dec-2022 to 28-Mar-2023' ('datamerge') 01-Aug-2023: updated 13 metadata fields in the Data, Dataset, Status, Study, Supplement section(s) ('addmeta') 01-Aug-2023: Q/C flagging criteria applied, 'flags' field updated ('dataflag') 01-Aug-2023: manually edited data set metadata ('ui_editmetadata') 01-Aug-2023: edited data set title in structure and metadata ('ui_editor') 01-Aug-2023: query 'Year==2022' run, returned 17518 of 21675 data rows ('querydata') 01-Aug-2023: automatically assigned study date metadata descriptors based on the range of date values in date/time columns (add_studydates) 01-Aug-2023: inserted 2 new records with date/time values and NaN/null data values (replicating common values in the non-data columns Site, Station, Longitude, Latitude, Instrument and Calibration) to fill in date/time interval gaps in the data series ('pad_date_gaps') 01-Aug-2023: sorted by column Date(ascending) ('sortdata') 01-Aug-2023: deleted existing datetime columns Year, Month, Day, Hour and Minute; updated Year, Month, Day, Hour and Minute datetime columns added after column Date ('add_datepartcols') 01-Aug-2023: updated 1 metadata fields in the Data section(s) ('addmeta') 01-Aug-2023: sorted by column Date(ascending) ('sortdata') 01-Aug-2023: replaced 2 missing values in column Temperature with estimated values based on 1D interpolation of Temperature as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Temperature' were updated with new values ('update_data'): changed record 12609 from NaN to 27.627, changed record 16781 from NaN to 16.238 01-Aug-2023: Q/C flagging criteria applied for column(s) Temperature, 'flags' field updated ('dataflag') 01-Aug-2023: replaced 2 missing values in column Conductivity with estimated values based on 1D interpolation of Conductivity as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Conductivity' were updated with new values ('update_data'): changed record 12609 from NaN to 3.391, changed record 16781 from NaN to 4.007 01-Aug-2023: Q/C flagging criteria applied for column(s) Conductivity, 'flags' field updated ('dataflag') 01-Aug-2023: replaced 2 missing values in column Pressure with estimated values based on 1D interpolation of Pressure as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Pressure' were updated with new values ('update_data'): changed record 12609 from NaN to 1.249, changed record 16781 from NaN to 1.056 01-Aug-2023: Q/C flagging criteria applied for column(s) Pressure, 'flags' field updated ('dataflag') 01-Aug-2023: replaced 2 missing values in column Depth with estimated values based on 1D interpolation of Depth as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Depth' were updated with new values ('update_data'): changed record 12609 from NaN to 1.240, changed record 16781 from NaN to 1.048 01-Aug-2023: Q/C flagging criteria applied for column(s) Depth, 'flags' field updated ('dataflag') 01-Aug-2023: replaced 2 missing values in column Salinity with estimated values based on 1D interpolation of Salinity as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Salinity' were updated with new values ('update_data'): changed record 12609 from NaN to 20.083, changed record 16781 from NaN to 31.447 01-Aug-2023: Q/C flagging criteria applied for column(s) Salinity, 'flags' field updated ('dataflag') 01-Aug-2023: replaced 2 missing values in column Sigma_t with estimated values based on 1D interpolation of Sigma_t as a function of Date using the MATLAB 9.5 function 'interp1' with the 'pchip' (piecewise cubic Hermite interpolation) method option, excluding data gaps with more than 12 consecutive missing values, and flagging the estimated values as 'E' ('interp_missing') 01-Aug-2023: 2 values in 'Sigma_t' were updated with new values ('update_data'): changed record 12609 from NaN to 11.335, changed record 16781 from NaN to 22.973 01-Aug-2023: Q/C flagging criteria applied for column(s) Sigma_t, 'flags' field updated ('dataflag') 01-Aug-2023: manually edited data set metadata ('ui_editmetadata') 01-Aug-2023: documented flagged and missing values in columns Instrument, Temperature, Conductivity, Pressure, Depth, Salinity and Sigma_t as data set anomalies in the metadata ('add_anomalies') 01-Aug-2023: 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) 01-Aug-2023: updated title ('newtitle') 01-Aug-2023: updated 1 metadata fields in the Dataset section(s) ('addmeta') 01-Aug-2023: 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') 03-Mar-2024: updated 1 metadata fields in the Dataset section(s) ('addmeta') 03-Mar-2024: imported Dataset, Project, Site, Study, Status, Supplement metadata descriptors from the GCE Metabase ('imp_gcemetadata') 03-Mar-2024: updated 57 metadata fields in the Dataset, Project, Site, Status, Study, Supplement section(s) ('addmeta') 03-Mar-2024: converted dates in column(s) Date to format yyyy-mm-dd HH:MM:SS 03-Mar-2024: updated 6 metadata fields in the Data section(s) ('addmeta') 03-Mar-2024: updated 15 metadata fields in the Status, Data sections to reflect attribute metadata ('updatecols') 03-Mar-2024: 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. Flagged_Temperature column 10. Percent_Flagged_Temperature column 11. Daily_Num_Temperature column 12. Daily_Min_Temperature column 13. Daily_Max_Temperature column 14. Daily_Mean_Temperature column 15. Daily_StdDev_Temperature column 16. Daily_SE_Temperature column 17. Flagged_Conductivity column 18. Percent_Flagged_Conductivity column 19. Daily_Num_Conductivity column 20. Daily_Min_Conductivity column 21. Daily_Max_Conductivity column 22. Daily_Mean_Conductivity column 23. Daily_StdDev_Conductivity column 24. Daily_SE_Conductivity column 25. Flagged_Pressure column 26. Percent_Flagged_Pressure column 27. Daily_Num_Pressure column 28. Daily_Min_Pressure column 29. Daily_Max_Pressure column 30. Daily_Mean_Pressure column 31. Daily_StdDev_Pressure column 32. Daily_SE_Pressure column 33. Flagged_Depth column 34. Percent_Flagged_Depth column 35. Daily_Num_Depth column 36. Daily_Min_Depth column 37. Daily_Max_Depth column 38. Daily_Mean_Depth column 39. Daily_StdDev_Depth column 40. Daily_SE_Depth column 41. Flagged_Salinity column 42. Percent_Flagged_Salinity column 43. Daily_Num_Salinity column 44. Daily_Min_Salinity column 45. Daily_Max_Salinity column 46. Daily_Mean_Salinity column 47. Daily_StdDev_Salinity column 48. Daily_SE_Salinity column 49. Flagged_Sigma_t column 50. Percent_Flagged_Sigma_t column 51. Daily_Num_Sigma_t column 52. Daily_Min_Sigma_t column 53. Daily_Max_Sigma_t column 54. Daily_Mean_Sigma_t column 55. Daily_StdDev_Sigma_t column 56. 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. Calendar date and time of observation column 6. Calendar year column 7. Calendar month column 8. Calendar day column 9. Number of QC/QA-flagged observations of Water temperature column 10. Percent QC/QA-flagged observations of Water temperature column 11. Daily Observations of Water temperature column 12. Daily Minimum Water temperature column 13. Daily Maximum Water temperature column 14. Daily Mean Water temperature column 15. Daily Sample Standard Deviation of Water temperature column 16. Daily Standard Error of Water temperature column 17. Number of QC/QA-flagged observations of Conductivity column 18. Percent QC/QA-flagged observations of Conductivity column 19. Daily Observations of Conductivity column 20. Daily Minimum Conductivity column 21. Daily Maximum Conductivity column 22. Daily Mean Conductivity column 23. Daily Sample Standard Deviation of Conductivity column 24. Daily Standard Error of Conductivity column 25. Number of QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 26. Percent QC/QA-flagged observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 27. Daily Observations of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 28. Daily Minimum Water pressure at sensor (approximately equivalent to water depth within 3% error) column 29. Daily Maximum Water pressure at sensor (approximately equivalent to water depth within 3% error) column 30. Daily Mean Water pressure at sensor (approximately equivalent to water depth within 3% error) column 31. Daily Sample Standard Deviation of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 32. Daily Standard Error of Water pressure at sensor (approximately equivalent to water depth within 3% error) column 33. Number of QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde column 34. Percent QC/QA-flagged observations of Water depth to the pressure sensor of the moored sonde column 35. Daily Observations of Water depth to the pressure sensor of the moored sonde column 36. Daily Minimum Water depth to the pressure sensor of the moored sonde column 37. Daily Maximum Water depth to the pressure sensor of the moored sonde column 38. Daily Mean Water depth to the pressure sensor of the moored sonde column 39. Daily Sample Standard Deviation of Water depth to the pressure sensor of the moored sonde column 40. Daily Standard Error of Water depth to the pressure sensor of the moored sonde column 41. Number of QC/QA-flagged observations of Salinity column 42. Percent QC/QA-flagged observations of Salinity column 43. Daily Observations of Salinity column 44. Daily Minimum Salinity column 45. Daily Maximum Salinity column 46. Daily Mean Salinity column 47. Daily Sample Standard Deviation of Salinity column 48. Daily Standard Error of Salinity column 49. Number of QC/QA-flagged observations of Sigma-t (i.e. Density-1) column 50. Percent QC/QA-flagged observations of Sigma-t (i.e. Density-1) column 51. Daily Observations of Sigma-t (i.e. Density-1) column 52. Daily Minimum Sigma-t (i.e. Density-1) column 53. Daily Maximum Sigma-t (i.e. Density-1) column 54. Daily Mean Sigma-t (i.e. Density-1) column 55. Daily Sample Standard Deviation of Sigma-t (i.e. Density-1) column 56. Daily Standard Error of Sigma-t (i.e. Density-1) 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. °C column 13. °C column 14. °C column 15. °C column 16. °C column 17. count column 18. % column 19. count column 20. S/m column 21. S/m column 22. S/m column 23. S/m column 24. S/m column 25. count column 26. % column 27. count column 28. dbar column 29. dbar column 30. dbar column 31. dbar column 32. dbar column 33. count column 34. % column 35. count column 36. m column 37. m column 38. m column 39. m column 40. m column 41. count column 42. % column 43. count column 44. PSU column 45. PSU column 46. PSU column 47. PSU column 48. PSU column 49. count column 50. % column 51. count column 52. kg/m^3 column 53. kg/m^3 column 54. kg/m^3 column 55. kg/m^3 column 56. kg/m^3 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. floating-point column 14. floating-point column 15. floating-point column 16. floating-point column 17. integer column 18. floating-point column 19. integer column 20. floating-point column 21. floating-point column 22. floating-point column 23. floating-point column 24. floating-point column 25. integer column 26. floating-point column 27. integer column 28. floating-point column 29. floating-point column 30. floating-point column 31. floating-point column 32. floating-point column 33. integer column 34. floating-point column 35. integer column 36. floating-point column 37. floating-point column 38. floating-point column 39. floating-point column 40. floating-point column 41. integer column 42. floating-point column 43. integer column 44. floating-point column 45. floating-point column 46. floating-point column 47. floating-point column 48. floating-point column 49. integer column 50. floating-point column 51. integer column 52. floating-point column 53. floating-point column 54. floating-point column 55. floating-point column 56. floating-point b. Variable Codes: c. Numeric Range: column 1. 2 to 2 column 2. (none) column 3. -81.3199 to -81.3199 column 4. 31.545 to 31.545 column 5. (none) column 6. 2022 to 2022 column 7. 1 to 12 column 8. 1 to 31 column 9. 0 to 4 column 10. 0 to 7.6923 column 11. 48 to 48 column 12. 7.1893 to 30.7487 column 13. 8.126 to 31.5662 column 14. 7.7476 to 31.0763 column 15. 0.084827 to 0.94467 column 16. 0.012244 to 0.13635 column 17. 0 to 48 column 18. 0 to 50 column 19. 48 to 48 column 20. 2.7836 to 5.0216 column 21. 3.0295 to 5.3008 column 22. 2.904 to 5.1195 column 23. 0.017476 to 0.37863 column 24. 0.0025224 to 0.054651 column 25. 0 to 3 column 26. 0 to 5.8824 column 27. 48 to 48 column 28. 0.061 to 1.718 column 29. 2.278 to 3.837 column 30. 1.2401 to 2.748 column 31. 0.47589 to 1.0156 column 32. 0.068689 to 0.14659 column 33. 0 to 3 column 34. 0 to 5.8824 column 35. 48 to 48 column 36. 0.060577 to 1.7061 column 37. 2.2622 to 3.8104 column 38. 1.2315 to 2.7289 column 39. 0.47259 to 1.0085 column 40. 0.068212 to 0.14557 column 41. 0 to 48 column 42. 0 to 50 column 43. 48 to 48 column 44. 19.416 to 31.6642 column 45. 22.7903 to 32.5627 column 46. 22.6979 to 32.054 column 47. 0.036701 to 2.5306 column 48. 0.0052974 to 0.36526 column 49. 0 to 48 column 50. 0 to 50 column 51. 48 to 48 column 52. 10.4858 to 24.3575 column 53. 14.711 to 24.8277 column 54. 13.0992 to 24.5969 column 55. 0.069807 to 1.9261 column 56. 0.010076 to 0.27801 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. numerical column 16. numerical column 17. numerical column 18. numerical column 19. numerical column 20. numerical column 21. numerical column 22. numerical column 23. numerical column 24. numerical column 25. numerical column 26. numerical column 27. numerical column 28. numerical column 29. numerical column 30. numerical column 31. numerical column 32. numerical column 33. numerical column 34. numerical column 35. numerical column 36. numerical column 37. numerical column 38. numerical column 39. numerical column 40. numerical column 41. numerical column 42. numerical column 43. numerical column 44. numerical column 45. numerical column 46. numerical column 47. numerical column 48. numerical column 49. numerical column 50. numerical column 51. numerical column 52. numerical column 53. numerical column 54. numerical column 55. numerical column 56. numerical b. Number of Columns: 56 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. 3 column 13. 3 column 14. 4 column 15. 4 column 16. 5 column 17. 0 column 18. 2 column 19. 0 column 20. 3 column 21. 3 column 22. 4 column 23. 4 column 24. 5 column 25. 0 column 26. 2 column 27. 0 column 28. 3 column 29. 3 column 30. 4 column 31. 4 column 32. 5 column 33. 0 column 34. 2 column 35. 0 column 36. 3 column 37. 3 column 38. 4 column 39. 4 column 40. 5 column 41. 0 column 42. 2 column 43. 0 column 44. 3 column 45. 3 column 46. 4 column 47. 4 column 48. 5 column 49. 0 column 50. 2 column 51. 0 column 52. 3 column 53. 3 column 54. 4 column 55. 4 column 56. 5 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 (continuous) column 14. calculation (continuous) column 15. calculation (continuous) column 16. calculation (continuous) column 17. calculation (discrete) column 18. calculation (continuous) column 19. calculation (discrete) column 20. calculation (continuous) column 21. calculation (continuous) column 22. calculation (continuous) column 23. calculation (continuous) column 24. calculation (continuous) column 25. calculation (discrete) column 26. calculation (continuous) column 27. calculation (discrete) column 28. calculation (continuous) column 29. calculation (continuous) column 30. calculation (continuous) column 31. calculation (continuous) column 32. calculation (continuous) column 33. calculation (discrete) column 34. calculation (continuous) column 35. calculation (discrete) column 36. calculation (continuous) column 37. calculation (continuous) column 38. calculation (continuous) column 39. calculation (continuous) column 40. calculation (continuous) column 41. calculation (discrete) column 42. calculation (continuous) column 43. calculation (discrete) column 44. calculation (continuous) column 45. calculation (continuous) column 46. calculation (continuous) column 47. calculation (continuous) column 48. calculation (continuous) column 49. calculation (discrete) column 50. calculation (continuous) column 51. calculation (discrete) column 52. calculation (continuous) column 53. calculation (continuous) column 54. calculation (continuous) column 55. calculation (continuous) column 56. calculation (continuous) 7. Flagging Criteria: column 1. none column 2. none column 3. none column 4. none column 5. none column 6. none column 7. none column 8. none column 9. none column 10. none column 11. none column 12. none column 13. none column 14. none column 15. none column 16. none column 17. none column 18. none column 19. none column 20. none column 21. none column 22. none column 23. none column 24. none column 25. none column 26. none column 27. none 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. none column 40. none column 41. none column 42. none column 43. none column 44. none column 45. none column 46. none column 47. none 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 C. Data Anomalies: V. Supplemental Descriptors A. Data Acquisition 1. Data Forms: Copies of CTD cast logs and raw data are maintained at the Georgia Coastal Ecosystems Information Management Office 2. Form Location: GCE-LTER Information Management Office, Dept. of Marine Sciences, University of Georgia, Athens, GA 30602 3. Data Entry Validation: 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