Data Package Metadata   View Summary

Physiochemical water column parameters and hydrographic time series from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing

General Information
Data Package:
Local Identifier:knb-lter-ble.3.11
Title:Physiochemical water column parameters and hydrographic time series from river, lagoon, and open ocean sites along the Alaska Beaufort Sea coast, 2018-ongoing
Alternate Identifier:DOI PLACE HOLDER
Abstract:
To understand circulation and seasonality as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program, temperature, conductivity, salinity, pressure, depth, and current velocity are recorded hourly in situ, starting August 2018 in lagoons across the Beaufort Sea coast (Elson Lagoon, Kaktovik Lagoon, and Jago Lagoon). Moorings include combinations of 1) RBR Concerto CTDs with temperature, conductivity, and pressure sensors; 2) StarOddi CTs with temperature and conductivity sensors; and 3) Lowell TCM-1 Tilt Current meters with MAT-1 Data Loggers for velocity and bearing. In addition, during BLE LTER's annual sampling, water column physiochemical parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) are measured by hand with a YSI data sonde at river, lagoon, and open ocean sites along the Beaufort Sea coast. Here we provide both quality controlled in situ mooring data and all YSI sonde data.
Short Name:physiochemistry-hydrography
Publication Date:2024-04-09
Language:English
For more information:
Visit: https://ble.lternet.edu
Visit: DOI PLACE HOLDER

Time Period
Begin:
2018-07-26
End:
2023-08-13

People and Organizations
Contact:Information Manager (Beaufort Lagoon Ecosystems LTER) [  email ]
Organization:Beaufort Lagoon Ecosystems LTER, Core Program
Associate:McClelland, James W (Marine Biological Laboratory, principal investigator)
Associate:Dunton, Kenneth H (The University of Texas at Austin, principal investigator)
Associate:McTigue, Nathan D (The University of Texas at Austin, Core Program manager)
Associate:Plumb, Kaylie H (The University of Texas at Austin, data analyst)
Associate:Whiteaker, Timothy L (The University of Texas at Austin, information manager)
Associate:Mohandas, Induja (The University of Texas at Austin, information manager)
Associate:Bonsell, Christina E (The University of Texas at Austin, Core Program manager, data analyst)
Associate:Nguyen, An T (The University of Texas at Austin, information manager)

Data Entities
Data Table Name:
Conductivity temperature depth data (CTD), 2018-ongoing
Description:
Temperature, conductivity, and salinity from RBRConcerto and StarOddi DST CT dataloggers deployed on benthos, BLE LTER Core Program, August 2018-ongoing.
Data Table Name:
Tilt current meter data (TCM), 2018-ongoing
Description:
Current velocity, heading, and temperature from Lowell TCM MAT-1 dataloggers deployed on benthos, BLE LTER Core Program, August 2018-ongoing.
Data Table Name:
Water column physiochemistry data (YSI), 2018-ongoing
Description:
Physiochemical water column parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) from hand cast YSI datasonde, BLE LTER Core Program, August 2018-ongoing.
Data Table Name:
physiochemistry-hydrography, personnel list
Description:
Personnel list with years involved in this data set
Detailed Metadata

Data Entities


Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/11/e888043ce56797d3897044121c9a714f
Name:Conductivity temperature depth data (CTD), 2018-ongoing
Description:Temperature, conductivity, and salinity from RBRConcerto and StarOddi DST CT dataloggers deployed on benthos, BLE LTER Core Program, August 2018-ongoing.
Number of Records:226264
Number of Columns:21

Table Structure
Object Name:BLE_LTER_hydrography_CTD.csv
Size:44673199 byte
Authentication:a79ca03f4356d0ccf33a6322b45971e7 Calculated By MD5
Character Encoding:UTF-8
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Station nodeStation lagoonStationDate time recordedInstrument usedWhether data was calibratedConductivityTemperatureSalinityPressureSea pressureDepthSpecific conductivityDensity anomalyConductivity/salinity data flagTemperature data flagStation nameLatitudeLongitudeHabitat typeStation sampling priority
Column Name:node  
lagoon  
station  
date_time  
instrument  
recalibrated_parameters  
conductivity_uS_cm  
temperature_C  
salinity  
pressure_dbar  
sea_pressure_dbar  
depth_m  
specific_conductivity_uS_cm  
density_anomaly_g_cm3  
flags_condsal  
flags_temperature  
station_name  
latitude  
longitude  
habitat_type  
station_sampling_priority  
Definition:One of three research nodes in BLE LTER's research programLagoon where BLE LTER Core Program station is locatedBLE LTER Core Program station codeDate and time recorded ISO8601 YYYY-MM-DDThh:mm:ss-hh. Times are in UTC-8.indicates which instrument recorded the dataindicates if data parameter went through calibration routine post-retrievalConductivityTemperature, measured from thermistor placed inside underwater instrumentSalinity calculated from temperature and conductivity (derived) according to the Practical Salinity ScaleTotal pressureSea pressure (derived)Depth (derived)Conductivity at 25 degrees C (derived)Density anomaly (derived)data flag for conductivity and salinitydata flag for temperatureBLE LTER's Core Program station nameLatitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Longitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Habitat type (river, lagoon, ocean)BLE LTER Core Program station sampling priority. For internal use.
External Measurement Definition, Link: containsMeasurementsOfType water conductivity containsMeasurementsOfType Water Temperature containsMeasurementsOfType water salinity containsMeasurementsOfType water pressure containsMeasurementsOfType density anomaly
Storage Type:string  
string  
string  
dateTime  
string  
string  
float  
float  
float  
float  
float  
float  
float  
float  
string  
string  
string  
decimal  
decimal  
string  
string  
Measurement Type:nominalnominalnominaldateTimenominalnominalratiointervalratioratioratioratioratiorationominalnominalnominalintervalintervalnominalnominal
Measurement Values Domain:
Definitionany text
Definitionany text
Definitionany text
FormatYYYY-MM-DDThh:mm:ss-hh
Precision1
Definitionany text
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeCTP
DefinitionConductivity adjusted based on measured offset with calibrated instrument; temperature adjusted based on measured offset with calibrated instrument; pressure used from parallel RBR CTD instrument
Source
Code Definition
CodeCP
DefinitionConductivity adjusted based on measured offset with calibrated instrument; pressure used from parallel RBR CTD instrument
Source
Code Definition
CodeC
DefinitionConductivity adjusted based on measured offset with calibrated instrument
Source
Code Definition
CodeNONE
DefinitionNot calibrated after data retrieval
Source
Code Definition
CodeT
DefinitionTemperature calibrated after data retrieval using linear adjustment between sampling points taken with YSI ProDSS datasonde
Source
Code Definition
CodeCT
DefinitionConductivity, temperature, and salinity (derived) calibrated after data retrieval using linear adjustment between sampling points taken with YSI ProDSS datasonde
Source
UnitmicrosiemensPerCentimeter
Typereal
Unitcelsius
Typereal
Unitdimensionless
Typereal
Unitdecibar
Precision0.01
Typereal
Unitdecibar
Precision0.01
Typereal
Unitmeter
Typereal
UnitmicrosiemensPerCentimeter
Typereal
UnitgramsPerCubicCentimeter
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeQM
DefinitionQuestionable conductivity and salinity data value as determined by trained personnel
Source
Code Definition
CodeVALID
DefinitionAcceptable temperature data value
Source
Code Definition
CodeINV
DefinitionInvalid data conductivity and salinity data value as determined by freezing line algorithm
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeVALID
DefinitionAcceptable temperature data value
Source
Code Definition
CodeQM
DefinitionQuestionable data value as determined by trained personnel
Source
Definitionany text
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codelagoon
DefinitionLagoon
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codesecondary
DefinitionLagoon site is secondarily sampled during field sampling.
Source
Code Definition
Codeprimary
DefinitionLagoon site is primarily sampled during field sampling.
Source
Missing Value Code:            
CodeNA
Explnot available/applicable
 
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
           
Accuracy Report:                                          
Accuracy Assessment:                                          
Coverage:                                          
Methods:                                          

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/11/24cdf87f82ed1a67d4110751cdfe8cdf
Name:Tilt current meter data (TCM), 2018-ongoing
Description:Current velocity, heading, and temperature from Lowell TCM MAT-1 dataloggers deployed on benthos, BLE LTER Core Program, August 2018-ongoing.
Number of Records:145209
Number of Columns:15

Table Structure
Object Name:BLE_LTER_hydrography_TCM.csv
Size:23245298 byte
Authentication:f081d5abbc552df91ea64ce68147f2db Calculated By MD5
Character Encoding:UTF-8
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Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Station nodeStation lagoonStationDate time recordedTemperatureCurrent speedCurrent headingNorthward velocityEastward velocitySpeed/velocity data flagStation nameLatitudeLongitudeHabitat typeStation sampling priority
Column Name:node  
lagoon  
station  
date_time  
temperature_C  
speed_cm_s  
heading_degree  
vel_N_cm_s  
vel_E_cm_s  
flags  
station_name  
latitude  
longitude  
habitat_type  
station_sampling_priority  
Definition:One of three research nodes in BLE LTER's research programLagoon where BLE LTER Core Program station is locatedBLE LTER Core Program station codeDate and time recorded ISO8601 YYYY-MM-DDThh:mm:ss-hh. Times are in UTC-8.Temperature, measured from thermistor placed inside underwater instrumentcurrent speedcurrent heading (adjusted for declination) in degrees from Northnorthward velocityeastward velocitydata flags for speed and velocityBLE LTER's Core Program station nameLatitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Longitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Habitat type (river, lagoon, ocean)BLE LTER Core Program station sampling priority. For internal use.
External Measurement Definition, Link: containsMeasurementsOfType Water Temperature
Storage Type:string  
string  
string  
dateTime  
float  
float  
float  
float  
float  
string  
string  
decimal  
decimal  
string  
string  
Measurement Type:nominalnominalnominaldateTimeratioratioratioratiorationominalnominalintervalintervalnominalnominal
Measurement Values Domain:
Definitionany text
Definitionany text
Definitionany text
FormatYYYY-MM-DDThh:mm:ss-hh
Precision1
Unitcelsius
Precision0.005
Typereal
Min-273.15 
Max
UnitcentimeterPerSecond
Precision0.1
Typereal
Unitdegree
Precision0.01
Typereal
Min
Max
UnitcentimeterPerSecond
Precision0.1
Typereal
UnitcentimeterPerSecond
Precision0.1
Typereal
Allowed Values and Definitions
Enumerated Domain 
Code Definition
CodeQM
DefinitionQuestionable current and velocity data value as determined by trained personnel
Source
Code Definition
CodeVALID
DefinitionAcceptable temperature data value
Source
Code Definition
CodeLS
DefinitionSpeed is lower than 5 cm/s. Velocity and bearing measurements are subject to higher error when speed drops below this threshold.
Source
Definitionany text
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codelagoon
DefinitionLagoon
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeprimary
DefinitionLagoon site is primarily sampled during field sampling.
Source
Code Definition
Codesecondary
DefinitionLagoon site is secondarily sampled during field sampling.
Source
Missing Value Code:                              
Accuracy Report:                              
Accuracy Assessment:                              
Coverage:                              
Methods:                              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/11/5ffcb3fa895a04ef0d374d1ce7a697d0
Name:Water column physiochemistry data (YSI), 2018-ongoing
Description:Physiochemical water column parameters (chlorophyll a, dissolved oxygen, phycoerythrin concentration, pH, temperature, conductivity, salinity) from hand cast YSI datasonde, BLE LTER Core Program, August 2018-ongoing.
Number of Records:334
Number of Columns:23

Table Structure
Object Name:BLE_LTER_hydrography_YSI.csv
Size:71859 byte
Authentication:96920bd3eb10735723095d1acebd527a Calculated By MD5
Character Encoding:UTF-8
Text Format:
Number of Header Lines:1
Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Station nodeStation lagoonStationSampling seasonDate time recordedWater column positionChlorophyll aConductivityDissolved oxygenDissolved oxygen saturationPhycoerythrin concentrationpHSalinitySpecific conductivityTemperaturenotesCollection methodStation nameLatitudeLongitudeStation depthHabitat typeStation sampling priority
Column Name:node  
lagoon  
station  
season  
date_time  
water_column_position  
chlorophyll_a_ug_L  
conductivity_uS_cm  
DO_concentration_mg_L  
DO_saturation_percent  
phycoerythrin_ug_L  
pH  
salinity  
specific_conductivity_uS_cm  
temperature_C  
notes  
collection_method  
station_name  
latitude  
longitude  
station_depth_m  
habitat_type  
station_sampling_priority  
Definition:One of three research nodes in BLE LTER's research programLagoon where BLE LTER Core Program station is locatedBLE LTER Core Program station codeBLE LTER Core Program sampling seasonDate and time recorded ISO8601 YYYY-MM-DDThh:mm-hh. Times are in GMT-8.Where sample was taken within water columnChlorophyll a concentration (μg/L)Conductivity (μS/cm)Dissolved Oxygen concentration (mg/L, derived)Dissolved Oxygen saturation (%)Phycoerythrin concentration (μg/L)pHSalinity calculated from temperature and conductivity (derived) according to the Practical Salinity ScaleConductivity at 25 degrees C (derived)Water temperature, measured from thermistor placed outside underwater instrumentNotesHow sample was collected in the fieldBLE LTER's Core Program station nameLatitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Longitude in decimal degrees. Note that due to field conditions, sampling is not always carried out at these exact coordinates, but in close vicinity of the station. Coordinates based on WGS84 datum.Station depth (m)Habitat type (river, lagoon, ocean)BLE LTER Core Program station sampling priority. For internal use.
External Measurement Definition, Link: containsMeasurementsOfType chlorophyll-a containsMeasurementsOfType water conductivity containsMeasurementsOfType dissolved oxygen concentration containsMeasurementsOfType dissolved oxygen saturation containsMeasurementsOfType Water pH
Storage Type:string  
string  
string  
string  
dateTime  
string  
float  
float  
float  
float  
float  
float  
float  
float  
float  
string  
string  
string  
decimal  
decimal  
float  
string  
string  
Measurement Type:nominalnominalnominalnominaldateTimenominalratioratioratioratioratioratioratioratiointervalnominalnominalnominalintervalintervalrationominalnominal
Measurement Values Domain:
Definitionany text
Definitionany text
Definitionany text
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeunder ice
DefinitionSampling occurred in winter season (e.g. April) when the lagoons are mostly frozen.
Source
Code Definition
Codeopen water
DefinitionSapling occurred in summer season (e.g. late July/early August) when the lagoons have mostly open water.
Source
Code Definition
Codebreak up
DefinitionSampling occurred in spring season (e.g. June) when ice break-up happens.
Source
FormatYYYY-MM-DDThh:mm-hh
Precision1
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codesurface
Definitionwater collected from approximately 0-30 cm below the surface
Source
Code Definition
Codebottom
Definitionwater collected from approximately 30 cm above the bottom
Source
UnitmicrogramPerLiter
Typereal
Min
Max
UnitmicrosiemensPerCentimeter
Typereal
Min
Max
UnitmilligramPerLiter
Typereal
Min
Max
Unitpercent
Typereal
Min
Max
UnitmicrogramPerLiter
Typereal
Min
Max
Unitdimensionless
Typereal
Min
Max14 
Unitdimensionless
Typereal
Min
Max
UnitmicrosiemensPerCentimeter
Typereal
Min
Max
Unitcelsius
Typereal
Definitionany text
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codesensor
Definitionwater property was measured by sensor
Source
Definitionany text
Unitdegree
Typereal
Min-90 
Max90 
Unitdegree
Typereal
Min-180 
Max180 
Unitmeter
Typereal
Min
Max
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Coderiver
DefinitionFreshwater river
Source
Code Definition
Codeocean
DefinitionOcean
Source
Code Definition
Codelagoon
DefinitionLagoon
Source
Allowed Values and Definitions
Enumerated Domain 
Code Definition
Codeocean
DefinitionNearshore ocean site
Source
Code Definition
Codenot applicable
DefinitionSampling priority not applicable to site
Source
Code Definition
Codeprimary
DefinitionLagoon site is primarily sampled during field sampling.
Source
Code Definition
Codesecondary
DefinitionLagoon site is secondarily sampled during field sampling.
Source
Code Definition
Coderiver
DefinitionRiver site
Source
Missing Value Code:          
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
   
CodeNA
Explnot available/applicable
 
CodeNA
Explnot available/applicable
CodeNA
Explnot available/applicable
           
CodeNA
Explnot available/applicable
   
Accuracy Report:                                              
Accuracy Assessment:                                              
Coverage:                                              
Methods:                                              

Data Table

Data:https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/11/a9071c74bbe90d0bd2649164422aa221
Name:physiochemistry-hydrography, personnel list
Description:Personnel list with years involved in this data set
Number of Records:8
Number of Columns:8

Table Structure
Object Name:BLE_LTER_hydrography_personnel.csv
Size:1005 byte
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Number of Foot Lines:0
Record Delimiter:\r\n
Orientation:column
Simple Delimited:
Field Delimiter:,
Quote Character:"

Table Column Descriptions
 Data package IDGiven nameMiddle nameSurnameRoleBegin yearEnd yearORCID
Column Name:datasetid  
givenname  
middlename  
surname  
role  
beginyear  
endyear  
orcid  
Definition:BLE LTER's data package IDGiven nameMiddle name or middle initialSurname or last nameRole in datasetBeginning year of role in datasetEnd year of role in datasetORCID
Storage Type:string  
string  
string  
string  
string  
dateTime  
dateTime  
string  
Measurement Type:nominalnominalnominalnominalnominaldateTimedateTimenominal
Measurement Values Domain:
Definitionany text
Definitionany text
Definitionany text
Definitionany text
Definitionany text
FormatYYYY
Precision1
FormatYYYY
Precision1
Definitionany text
Missing Value Code:                
Accuracy Report:                
Accuracy Assessment:                
Coverage:                
Methods:                

Data Package Usage Rights

This data package is released to the public domain under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). It may be distributed, remixed, and built upon. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. It is considered professional etiquette to provide attribution of the original work if this data package is shared or utilized in whole or by individual components. A generic citation is provided for this data package on the website of the repository where these data were obtained in the summary metadata page.

Communication (and collaboration) with the creators of this data package is recommended to prevent duplicate research or publication. The consumer of these data ("Data User" herein) is urged to contact the authors of these data if any questions about methodology or results occur. 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 duplication or inappropriate use. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation may occur if data are used outside of the context of the original study. The Data User should be aware that periodic updates of this data package may be available from the website and it is the responsibility of the Data User to check for new versions of the data.

While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy cannot be guaranteed. This data package (with its components) is made available "as is" and with no warranty of accuracy or fitness for use. The creators of this data package and the repository where these data were obtained shall not be liable for any damages resulting from misinterpretation, use or misuse of the data package or its components. Thank you.

External Annotations

With link(s) out to external vocabularies
Dataset isAbout hydrological process
Dataset isAbout lagoon

Keywords

By Thesaurus:
LTER Core Research Areasdisturbance patterns, movement of inorganic matter, movement of organic matter
LTER Controlled Vocabulary v1chlorophyll a, conductivity, dissolved oxygen, estuaries, ocean currents, oceanography, oceans, salinity, sea level, seasonality, temperature, temporal properties, water column, water properties, water temperature
Geographic Names Information SystemAvak Creek, Barter Island, Elson Lagoon, Jago Lagoon, Kaktovik, Kaktovik Lagoon
BLE LTER Controlled VocabularyBeaufort Lagoon Ecosystems LTER, BLE, BLE LTER Core Program, LTER, temperature

Methods and Protocols

These methods, instrumentation and/or protocols apply to all data in this dataset:

Methods and protocols used in the collection of this data package
Description:

Hydrographic time series - in situ moorings

Benthic moorings are deployed starting August 2018 at various stations in lagoons across the Beaufort Sea coast (Elson Lagoon, Kaktovik Lagoon, and Jago Lagoon) as part of the Beaufort Lagoon Ecosystem Long Term Ecological Research program. Moorings include combinations of 1) RBR Concerto CTDs with temperature, conductivity, and pressure sensors; 2) StarOddi CTs with temperature and conductivity sensors; and 3) Lowell TCM-1 Tilt Current meters with MAT-1 Data Loggers for velocity and bearing. Instruments are anchored to the seabed with sensors ~20-70 cm from the sediment surface, but may have shifted over the deployment period. All instruments log data hourly. Date time values are in GMT-8, as instruments are first deployed during the summer in Alaska and do not adjust for Daylight Savings Time. Moorings are retrieved in August each year and replaced so data could be downloaded and instruments could be serviced.

In data from RBRConcerto instruments, a number of parameters are derived from conductivity using the UNESCO algorithms (Fofonoff and Millard, 1983): density anomaly, specific conductivity, and salinity. Sea pressure is derived by deducting atmospheric pressure, which is assumed to be 10.1325 dbar, from the total pressure measured. Sea water density is assumed to be 1.0281 g/mL. Depth is calculated as (sea pressure)/(density*0.980665).

Physiochemical parameters - YSI sonde

As stations are occupied seasonally, YSI data sondes (ProDSS series) are deployed by hand to measure physiochemical parameters in the water column. At deep stations, measurements are made at the surface (within upper 30 cm) and bottom (within 30 cm of the seafloor, or at the maximum length of the deployment tether) to determine if stratification had occurred. The depth of the water column is measured with a weighted tape measure before the sonde deployment. Chlorophyll a, depth, phycoerythrin, and temperature sensors are all factory calibrated annually. Conductivity is calibrated by two-point calibration with solutions at 10,000 and 30,000 μS/cm daily to weekly during field season. pH is calibrated weekly to daily with either a two- or three-point calibration using buffers at 4.00, 7.00, and 10.00. Dissolved oxygen as a percentage of air saturation is measured with an optical probe and calibrated by wrapping a wet towel around the probe and calibrating to 100%. Dissolved oxygen concentration in milligrams per liter is derived by standard internal instrument equations from dissolved oxygen saturation, temperature, and salinity. Specific conductivity is calculated by internal instrument equations based on conductivity and temperature. Salinity is calculated by the instrument from conductivity and temperature.

Manufacturer listed accuracy of each sensor

  • YSI Temperature: ±0.2°C
  • YSI Conductivity: ±0.5% of reading or 0.001 mS/cm, whichever is greater
  • YSI Dissolved Oxygen concentration: ±0.1 mg/L or 1% of reading, whichever is greater
  • YSI Dissolved Oxygen saturation: ±1% of reading or 1% air saturation, whichever is greater
  • YSI pH: ±0.2 units
  • YSI depth: ±0.004 m
  • Lowell Heading: ±5° (for speed >5 cm/s)
  • Lowell Speed: ±2 cm/s + 3% of reading
  • RBR Temperature: ±0.002°C
  • RBR Conductivity: ±0.003mS/cm (stability 0.010mS/cm/year)
  • RBR Pressure: ±0.05% full scale
  • Star Oddi Temperature: ±0.1°C
  • Star Oddi Conductivity: ±2 mS/cm

References

Fofonoff, N. & Millard, R.. (1983). Algorithms for Computation of Fundamental Properties of Seawater. UNESCO Tech. Pap. Mar. Sci.. 44.

YSI, Xylem Inc. ProDSS Multiparameter Water Quality Meter: Specifications. Retrieved from https://www.ysi.com/prodss on December 2th, 2019.

RBR Inc. RBRConcerto: Specifications. Retrieved from https://rbr-global.com/products/standard-loggers/rbrduo-ct on December 2th, 2019.

Lowell Instruments Inc. TCM-1 Tilt Current Meter: Product Data Sheet. Retrieved from https://lowellinstruments.com/products/tcm-1-tilt-current-meter on December 2th, 2019.

Star-Oddi Inc. Conductivity, Salinity and Temperature Data Logger: Specifications. Retrieved from https://www.star-oddi.com/products/data-loggers/conductivity-logger-measuring-device on December 2th, 2019.

Description:

Post-retrieval in situ data processing

Raw data are quality assured and elements are flagged using routines built in R software. Briefly, conductivity and salinity data are tested algorithmically against the freezing point of water and deemed "invalid" if the element indicated below freezing. See the 'insitu' package and its documentation for further details (https://github.com/BLE-LTER/insitu). Data are further assessed by trained personnel who further flagged "questionable" or "invalid" measurements manually based on temporal trends in the temperature-salinity relationship.

If instrument temperature and conductivity data deviated consistently from YSI measurements, a linear adjustment is applied, using the YSI data as calibration points. Data are further processed by BLE information managers for formatting purposes.

People and Organizations

Publishers:
Organization:Environmental Data Initiative
Email Address:
info@edirepository.org
Web Address:
https://edirepository.org
Id:https://ror.org/0330j0z60
Creators:
Organization:Beaufort Lagoon Ecosystems LTER, Core Program
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Id:https://ror.org/055a54548
Contacts:
Organization:Beaufort Lagoon Ecosystems LTER
Position:Information Manager
Address:
MC R8000 The University of Texas at Austin,
Austin, TX 78712 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Id:https://ror.org/055a54548
Associated Parties:
Individual: James W McClelland
Organization:Marine Biological Laboratory
Address:
Marine Biological Laboratory 7 MBL Street,
Woods Hole, MA 02543 USA
Phone:
508-289-7162
Email Address:
jmcclelland@mbl.edu
Web Address:
https://www.mbl.edu/research/faculty-and-whitman-scientists/James%20McClelland
Id:https://orcid.org/0000-0001-9619-8194
Role:principal investigator
Individual: Kenneth H Dunton
Organization:The University of Texas at Austin
Address:
750 Channel View Dr.,
Port Aransas, TX 78383 USA
Email Address:
ken.dunton@utexas.edu
Id:https://orcid.org/0000-0003-3498-8021
Role:principal investigator
Individual: Nathan D McTigue
Organization:The University of Texas at Austin
Address:
750 Channel View Dr.,
Port Aransas, TX 78383 USA
Email Address:
mctigue@utexas.edu
Id:https://orcid.org/0000-0002-7686-7095
Role:Core Program manager
Individual: Kaylie H Plumb
Organization:The University of Texas at Austin
Address:
750 Channel View Dr.,
Port Aransas, TX 78383 USA
Email Address:
kaylie.plumb@austin.utexas.edu
Id:https://orcid.org/0000-0001-6071-0547
Role:data analyst
Individual: Timothy L Whiteaker
Organization:The University of Texas at Austin
Address:
Austin, TX 78758 USA
Email Address:
whiteaker@utexas.edu
Id:https://orcid.org/0000-0002-1940-4158
Role:information manager
Individual: Induja Mohandas
Organization:The University of Texas at Austin
Address:
Austin, TX 78758 USA
Email Address:
induja.mohandas@austin.utexas.edu
Id:https://orcid.org/0009-0002-8475-2295
Role:information manager
Individual: Christina E Bonsell
Organization:The University of Texas at Austin
Address:
750 Channel View Dr.,
Port Aransas, TX 78383 USA
Email Address:
cebonsell@gmail.com
Id:https://orcid.org/0000-0002-8564-0618
Role:Core Program manager, data analyst
Individual: An T Nguyen
Organization:The University of Texas at Austin
Address:
Austin, TX 78758 USA
Email Address:
enthusiast@utexas.edu
Id:https://orcid.org/0000-0001-6519-0173
Role:information manager
Metadata Providers:
Organization:Beaufort Lagoon Ecosystems LTER
Address:
750 Channel View Dr.,
Port Aransas, TX 78373 USA
Email Address:
BLE-IM@utexas.edu
Web Address:
https://ble.lternet.edu/
Id:https://ror.org/055a54548

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to all data in this dataset:

Time Period
Begin:
2018-07-26
End:
2023-08-13
Geographic Region:
Description:Barrow (Utqiavik): Bounding box contains Elson Lagoon and nearby river sampling sites. Located in North Slope, Alaska, USA, close to Utqiaġvik (formerly Barrow). Coordinates based on WGS84 datum.
Bounding Coordinates:
Northern:  71.395000Southern:  71.107110
Western:  -156.603000Eastern:  -155.914000
Geographic Region:
Description:Kaktovik: Bounding box contains Jago and Kaktovik Lagoons and nearby river and ocean sampling sites. Located in North Slope, Alaska, USA, close to Kaktovik. Coordinates based on WGS84 datum.
Bounding Coordinates:
Northern:  70.150159Southern:  70.070734
Western:  -143.776703Eastern:  -143.241119
Geographic Region:
Description:Prudhoe Bay: Bounding box contains Simpson Lagoon, Stefansson Sound, and nearby river and ocean sampling sites. Located in North Slope, Alaska, USA, close to Prudhoe Bay. Coordinates based on WGS84 datum.
Bounding Coordinates:
Northern:  70.568803Southern:  70.190688
Western:  -149.924927Eastern:  -147.700000

Project

Parent Project Information:

Title:LTER: Seasonal Controls and Emergent Effects of Changing Land-ice-ocean Interactions on Arctic Coastal Ecosystems (BLE II)
Personnel:
Individual: Kenneth Dunton
Organization:The University of Texas at Austin, Marine Science Institute
Phone:
361-749-6744 (voice)
Email Address:
ken.dunton@utexas.edu
Id:https://orcid.org/0000-0003-3498-8021
Role:Lead Principal Investigator
Individual: James McClelland
Organization:Marine Biological Laboratory
Phone:
508-289-7162 (voice)
Email Address:
jmcclelland@mbl.edu
Id:https://orcid.org/0000-0001-9619-8194
Role:Co-Lead Principal Investigator
Individual: Byron Crump
Organization:Oregon State University
Email Address:
byron.crump@oregonstate.edu
Id:https://orcid.org/0000-0001-7062-1273
Role:Co-Principal Investigator
Individual: Emily Eidam
Organization:Oregon State University
Email Address:
emily.eidam@oregonstate.edu
Id:https://orcid.org/0000-0002-1906-8692
Role:Co-Principal Investigator
Individual: Amber Hardison
Organization:Virginia Institute of Marine Science, College of William & Mary
Email Address:
akhardison@vims.edu
Id:https://orcid.org/0000-0002-0891-3731
Role:Co-Principal Investigator
Individual: Katrin Iken
Organization:University of Alaska Fairbanks
Email Address:
kbiken@alaska.edu
Id:https://orcid.org/0000-0001-7961-1012
Role:Co-Principal Investigator
Individual: Vanessa Lougheed
Organization:The University of Texas at El Paso
Email Address:
vlougheed@utep.edu
Id:https://orcid.org/0000-0002-6091-1151
Role:Co-Principal Investigator
Individual: Andrew Mahoney
Organization:University of Alaska Fairbanks
Email Address:
armahoney@alaska.edu
Id:https://orcid.org/0000-0002-8699-3175
Role:Co-Principal Investigator
Individual: Bailey McMeans
Organization:University of Toronto Missisauga
Email Address:
bailey.mcmeans@utoronto.ca
Id:https://orcid.org/0000-0002-9793-6811
Role:Co-Principal Investigator
Individual: Michael Rawlins
Organization:University of Massachusetts Amherst
Email Address:
mrawlins@umass.edu
Id:https://orcid.org/0000-0002-3323-8256
Role:Co-Principal Investigator
Individual: Yvette Spitz
Organization:Oregon State University
Email Address:
yvette.spitz@oregonstate.edu
Id:https://orcid.org/0000-0002-6026-4900
Role:Co-Principal Investigator
Individual: Craig Tweedie
Organization:The University of Texas at El Paso
Email Address:
ctweedie@utep.edu
Id:https://orcid.org/0000-0002-3409-8881
Role:Co-Principal Investigator
Individual: Vanessa von Biela
Organization:U.S. Geological Survey
Email Address:
vvonbiela@usgs.gov
Id:https://orcid.org/0000-0002-7139-5981
Role:Co-Principal Investigator
Individual: Timothy Whiteaker
Organization:The University of Texas at Austin
Email Address:
whiteaker@utexas.edu
Id:https://orcid.org/0000-0002-1940-4158
Role:Co-Principal Investigator
Individual: Nathan McTigue
Organization:The University of Texas at Austin
Email Address:
mctigue@utexas.edu
Id:https://orcid.org/0000-0002-7686-7095
Role:Project Manager
Abstract:

This project continues the Beaufort Lagoon Ecosystems Long Term Ecological Research (BLE LTER) program. The BLE LTER was added to NSF's network of LTER sites in 2017 and current work represents the second phase of this long-term effort. The project focuses on interactions between physical, chemical, and biological properties of nearshore ecosystems along Alaska's northern-most coastline. The study addresses fundamental questions about what controls and sustains food webs in Arctic coastal waters and how climate change is altering these food webs. The project also examines the effects of climate change on greenhouse gas emissions near the Arctic land-sea interface. Estuaries along the Beaufort Sea coast support productive and biologically complex assemblages of biota that are important to the Indigenous residents of the Alaskan Arctic. These assemblages are inherently shaped by extreme seasonal variations in physical and chemical conditions yet are increasingly challenged by shifts in seasonality as well as other climate change impacts in the rapidly warming Arctic. Studies based out of Utqiagvik (formerly Barrow), Deadhorse, and Kaktovik, Alaska, are addressing how changes in shoreline erosion, freshwater inflows, ice cover, and ocean circulation over seasonal, annual, and longer timeframes influence near-shore food webs, from bacteria to top predators. This includes consideration of resident and anadromous fishes and migratory birds that serve important cultural and subsistence roles in the lives of Alaska Natives that live along the Alaskan Beaufort Sea coast. While the project's work on food webs includes components that are of particular interest to local communities, components focusing on greenhouse gas emissions have broader societal relevance. Inputs of organic carbon from land to sea are increasing as permafrost (perennially frozen ground) thaws in the warming Arctic, and this project is studying how decomposition and associated release of greenhouse gasses from these inputs may contribute to global warming. Research activities are conducted in collaboration with local and broader stakeholder groups. This project is also strongly committed to education, including graduate and undergraduate student training, post-doctoral mentoring, continuation of popular schoolyard activities in Kaktovik, and establishment of new K-12 and community college (Ilisagvik) programs in Utqiagvik.

Ecological studies suggest that temporal forcing is critical to our understanding of what controls food web structure. More specifically, there is mounting evidence that the differential availability of seasonally-distinct resources is particularly important for defining trophic linkages and maintaining stability and resilience of food webs. The BLE LTER is using lagoons along the Alaskan Beaufort Sea coast as experimental units to explore this concept. Arctic lagoons serve as excellent test beds because they experience extreme variability in seasonal cycles, which are now subject to rapid directional shifts driven by climate change. Our overarching question is: How do variations in terrestrial inputs, local production, and exchange between lagoon and ocean waters over seasonal, inter-annual, inter-decadal, and longer timeframes interact to control food web structure through effects on carbon and nitrogen cycling, microbial and metazoan community composition, and trophic linkages? Arctic lagoons provide a unique opportunity to study these interactions in the absence of fringing wetlands that often modulate land-ocean interactions in other lagoon systems. In addition, barrier island geomorphology, which exerts a strong control on water exchange between lagoons and the open ocean, is highly dynamic in the Arctic because sea-ice effects are superimposed on the effects of currents, sea level, and waves. Thus, connections between inputs from land and lagoon ecosystems are more direct, and water exchanges between lagoons and the open ocean are more variable than is typical of lower latitude systems. The project's study sites are in Elson Lagoon (western Beaufort), Simpson Lagoon and Stefansson Sound (central Beaufort), and Kaktovik and Jago lagoons (eastern Beaufort). The BLE LTER team conducts seasonal field work during ice covered, ice break-up, and open water periods and deploys sensors for continuous long-term measurements of key biogeochemical and hydrographic parameters. The project also includes watershed and lagoon ecosystem modeling components. While working to advance understanding of fundamental ecological principles, this project provides a much-needed mechanism for tracking and understanding 1) how natural climate cycles influence coastal ecosystems in the Arctic, and 2) how climate change effects such as permafrost thaw, shifting precipitation regimes, and losses of sea ice alter coastal ecosystems.

Funding:

BLE LTER is supported by the National Science Foundation under award #2322664 (2023-2028) and #1656026 (2017-2022).

Additional Award Information:
Funder:National Science Foundation - Office of Polar Programs
Funder ID:https://ror.org/05nwjp114
Number:2322664
Title:LTER: Seasonal Controls and Emergent Effects of Changing Land-ice-ocean Interactions on Arctic Coastal Ecosystems (BLE II)
URL:https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322664

Maintenance

Maintenance:
Description:Dataset will be updated every year, normally scheduled for the fall and spring following field season.
Frequency:annually
History:
scope:Metadata and data
old value:See previous revision 1
change date:2023-10-01
comment:Timothy Whiteaker : Add 2022 and 2023 data from YSI only. In BLE_LTER_hydrography_YSI.csv, drop depth_m column (sample depth) in favor of station_depth_m since station depth is more reliable.
scope:Metadata and data
old value:See previous revision 2
change date:2023-10-01
comment:Timothy Whiteaker : Corrected location of site SSLD2_Aux_2023
scope:Metadata and data
old value:See previous revision 3
change date:2024-02-26
comment:Timothy Whiteaker : Remove misleading raw files. For CTD, revise to show proper precision and add data through 2021. Add missing YSI sonde values from 2022 and 2023.
scope:Metadata and data
old value:See previous revision 4
change date:2024-04-04
comment:Induja Mohandas : For the Tilt Current Meter data, add data from 2023, remove BAD flag and add LS flag. For CTD data, add data through 2021, remove speed_of_sound_m_s column, and update flags. Remove YSI data subset used for CTD data calibration (BLE_LTER_hydrography_YSI_for_calibration.csv).
Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'replicationPolicy' in ns 'http://ns.dataone.org/service/types/v1' ('d1v1:replicationPolicy')
        |     |     |  \___attribute 'numberReplicas' = '1'
        |     |     |  \___attribute 'replicationAllowed' = 'true'
        |     |     |___text '\n            '
        |     |     |___element 'preferredMemberNode'
        |     |     |     |___text 'urn:node:ARCTIC'
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

Additional Metadata

additionalMetadata
        |___text '\n      '
        |___element 'metadata'
        |     |___text '\n         '
        |     |___element 'unitList'
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'uS_cm'
        |     |     |     |  \___attribute 'id' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'microsiemensPerCentimeter'
        |     |     |     |  \___attribute 'unitType' = 'conductance'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'microsiemens per centimeter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'dimensionless'
        |     |     |     |  \___attribute 'name' = 'dimensionless'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'a designation asserting the absence of an associated unit'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'percent'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'ug_L'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'microgramPerLiter'
        |     |     |     |  \___attribute 'name' = 'microgramPerLiter'
        |     |     |     |  \___attribute 'parentSI' = 'gramPerMeterCubed'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'concentration unit. Based on the dimensions (mass/volume), the unitType is probably density, but this would be misleading, so it is left NULL here.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'degree'
        |     |     |     |  \___attribute 'id' = 'degree'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0174532924'
        |     |     |     |  \___attribute 'name' = 'degree'
        |     |     |     |  \___attribute 'parentSI' = 'radian'
        |     |     |     |  \___attribute 'unitType' = 'angle'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text '360 degrees comprise a unit circle.'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'dbar'
        |     |     |     |  \___attribute 'id' = 'decibar'
        |     |     |     |  \___attribute 'multiplierToSI' = '10000'
        |     |     |     |  \___attribute 'name' = 'decibar'
        |     |     |     |  \___attribute 'parentSI' = 'pascal'
        |     |     |     |  \___attribute 'unitType' = 'pressure'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'decibar = 0.1 bar'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'cm_s'
        |     |     |     |  \___attribute 'id' = 'centimeterPerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.01'
        |     |     |     |  \___attribute 'name' = 'centimeterPerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'metersPerSecond'
        |     |     |     |  \___attribute 'unitType' = 'speed'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'centimeters per second'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'm'
        |     |     |     |  \___attribute 'id' = 'meter'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'meter'
        |     |     |     |  \___attribute 'unitType' = 'length'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'SI unit of length'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'C'
        |     |     |     |  \___attribute 'constantToSI' = '273.18'
        |     |     |     |  \___attribute 'id' = 'celsius'
        |     |     |     |  \___attribute 'multiplierToSI' = '1'
        |     |     |     |  \___attribute 'name' = 'celsius'
        |     |     |     |  \___attribute 'parentSI' = 'kelvin'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'SI-derived unit of temperature'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'g_cm3'
        |     |     |     |  \___attribute 'id' = 'gramsPerCubicCentimeter'
        |     |     |     |  \___attribute 'multiplierToSI' = '1000'
        |     |     |     |  \___attribute 'name' = 'gramsPerCubicCentimeter'
        |     |     |     |  \___attribute 'parentSI' = 'kilogramsPerCubicMeter'
        |     |     |     |  \___attribute 'unitType' = 'massDensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'grams per cubic centimeter'
        |     |     |     |___text '\n            '
        |     |     |___text '\n            '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'abbreviation' = 'mg_L'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'milligramPerLiter'
        |     |     |     |  \___attribute 'name' = 'milligramPerLiter'
        |     |     |     |  \___attribute 'parentSI' = 'kilogramPerCubicMeter'
        |     |     |     |  \___attribute 'unitType' = 'volumetricMassDensity'
        |     |     |     |___text '\n               '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'concentration unit, sometimes used for pigments in natural waters'
        |     |     |     |___text '\n            '
        |     |     |___text '\n         '
        |     |___text '\n      '
        |___text '\n   '

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

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