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.3.9

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 raw and quality controlled in situ mooring data, the R scripts used for processing, and all YSI sonde data plus a subset used to calibrate and validate the in situ mooring data.

Short Name:

physiochemistry-hydrography

Publication Date:

2024-02-26

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:	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:	YSI data subset used for CTD data calibration, 2018-ongoing
Description:	Used for calibration: YSI datasonde temperature, conductivity, and salinity, BLE LTER Core Program, August 2018-ongoing. This is a smaller subset of the YSI data.
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/3/9/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:	70513
Number of Columns:	19

Table Structure

Object Name:

BLE_LTER_hydrography_CTD.csv

Size:

13635345 byte

Authentication:

59d146dcf553ce87426b745e79ce2073 Calculated By MD5

Character Encoding:

UTF-8

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Station

Date time recorded

Instrument used

Whether data was calibrated

Conductivity

Temperature

Salinity

Pressure

Sea pressure

Depth

Speed of sound

Specific conductivity

Density anomaly

Conductivity/salinity data flag

Temperature data flag

Station name

Latitude

Longitude

Habitat type

Column Name:

station

date_time

instrument

recalibrated_parameters

conductivity_uS_cm

temperature_C

salinity

pressure_dbar

sea_pressure_dbar

depth_m

speed_of_sound_m_s

specific_conductivity_uS_cm

density_anomaly_g_cm3

flags_condsal

flags_temperature

station_name

latitude

longitude

habitat_type

Definition:

BLE LTER Core Program station code

Date and time recorded ISO8601 YYYY-MM-DDThh:mm-hh. Times are in GMT-8.

indicates which instrument recorded the data

indicates if data parameter went through calibration routine post-retrieval

Conductivity

Temperature, measured from thermistor placed inside underwater instrument

Salinity calculated from temperature and conductivity (derived) according to the Practical Salinity Scale

Total pressure

Sea pressure (derived)

Depth (derived)

Speed of Sound (derived)

Conductivity at 25 degrees C (derived)

Density anomaly (derived)

data flag for conductivity and salinity

data flag for temperature

BLE LTER's Core Program station name

Latitude 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)

External Measurement Definition, Link:

containsMeasurementsOfType water conductivity

containsMeasurementsOfType Water Temperature

containsMeasurementsOfType water salinity

containsMeasurementsOfType water pressure

containsMeasurementsOfType density anomaly

Storage Type:

string

dateTime

string

float

string

decimal

string

Measurement Type:

nominal

dateTime

nominal

ratio

interval

ratio

nominal

interval

nominal

Measurement Values Domain:

Definition

any text

Format	YYYY-MM-DDThh:mm-hh
Precision	1

Definition

any text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	NONE
Definition	Not calibrated after data retrieval
Source

Code Definition

Code	T
Definition	Temperature calibrated after data retrieval using linear adjustment between sampling points taken with YSI ProDSS datasonde
Source

Code Definition

Code	CT
Definition	Conductivity, temperature, and salinity (derived) calibrated after data retrieval using linear adjustment between sampling points taken with YSI ProDSS datasonde
Source

Unit	microsiemensPerCentimeter
Type	real

Unit	celsius
Type	real

Unit	dimensionless
Type	real

Unit	decibar
Precision	0.01
Type	real

Unit	decibar
Precision	0.01
Type	real

Unit	meter
Type	real

Unit	meterPerSecond
Type	real

Unit	microsiemensPerCentimeter
Type	real

Unit	gramsPerCubicCentimeter
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	INV
Definition	Invalid data conductivity and salinity data value as determined by freezing line algorithm
Source

Code Definition

Code	VALID
Definition	Acceptable temperature data value
Source

Code Definition

Code	QM
Definition	Questionable conductivity and salinity data value as determined by trained personnel
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	VALID
Definition	Acceptable temperature data value
Source

Code Definition

Code	QM
Definition	Questionable data value as determined by trained personnel
Source

Definition

any text

Unit	degree
Type	real
Min	-90
Max	90

Unit	degree
Type	real
Min	-180
Max	180

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	lagoon
Definition	Lagoon
Source

Code Definition

Code	river
Definition	Freshwater river
Source

Code Definition

Code	ocean
Definition	Ocean
Source

Missing Value Code:

Code	NA
Expl	not available, parameter not derived by StarOddi instruments

Code	NA
Expl	not available, parameter not derived by StarOddi instruments

Code	NA
Expl	not available, parameter not derived by StarOddi instruments

Code	NA
Expl	not available, parameter not derived by StarOddi instruments

Code	NA
Expl	not available, parameter not derived by StarOddi instruments

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/9/24cdf87f82ed1a67d4110751cdfe8cdf
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:	68474
Number of Columns:	12

Table Structure

Object Name:

BLE_LTER_hydrography_TCM.csv

Size:

9005153 byte

Authentication:

b211513f0a6edf8a9decbeece2132872 Calculated By MD5

Character Encoding:

UTF-8

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Station

Date time recorded

Temperature

Current speed

Current heading

Northward velocity

Eastward velocity

Speed/velocity data flag

Station name

Latitude

Longitude

Habitat type

Column Name:

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

Definition:

BLE LTER Core Program station code

Date and time recorded ISO8601 YYYY-MM-DDThh:mm-hh. Times are in GMT-8.

Temperature, measured from thermistor placed inside underwater instrument

current speed

current heading (adjusted for declination) in degrees from North

northward velocity

eastward velocity

data flags for speed and velocity

BLE LTER's Core Program station name

Latitude 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)

External Measurement Definition, Link:

containsMeasurementsOfType Water Temperature

Storage Type:

string

dateTime

float

string

decimal

string

Measurement Type:

nominal

dateTime

ratio

nominal

interval

nominal

Measurement Values Domain:

Definition

any text

Format	YYYY-MM-DDThh:mm-hh
Precision	1

Unit	celsius
Precision	0.005
Type	real
Min	-273.15
Max

Unit	centimeterPerSecond
Precision	0.1
Type	real

Unit	degree
Precision	0.01
Type	real
Min	0
Max

Unit	centimeterPerSecond
Precision	0.1
Type	real

Unit	centimeterPerSecond
Precision	0.1
Type	real

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	BAD
Definition	Bad current and velocity data
Source

Code Definition

Code	QM
Definition	Questionable current and velocity data value as determined by trained personnel
Source

Code Definition

Code	VALID
Definition	Acceptable temperature data value
Source

Definition

any text

Unit	degree
Type	real
Min	-90
Max	90

Unit	degree
Type	real
Min	-180
Max	180

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	lagoon
Definition	Lagoon
Source

Code Definition

Code	ocean
Definition	Ocean
Source

Code Definition

Code	river
Definition	Freshwater river
Source

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/9/5ffcb3fa895a04ef0d374d1ce7a697d0
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:

02484079d25d9bc5ce09215951b5707d Calculated By MD5

Character Encoding:

UTF-8

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Station node

Station lagoon

Station

Sampling season

Date time recorded

Water column position

Chlorophyll a

Conductivity

Dissolved oxygen

Dissolved oxygen saturation

Phycoerythrin concentration

Salinity

Specific conductivity

Temperature

notes

Collection method

Station name

Latitude

Longitude

Station depth

Habitat type

Station 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

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 program

Lagoon where BLE LTER Core Program station is located

BLE LTER Core Program station code

BLE LTER Core Program sampling season

Date and time recorded ISO8601 YYYY-MM-DDThh:mm-hh. Times are in GMT-8.

Where sample was taken within water column

Chlorophyll a concentration (μg/L)

Conductivity (μS/cm)

Dissolved Oxygen concentration (mg/L, derived)

Dissolved Oxygen saturation (%)

Phycoerythrin concentration (μg/L)

Salinity calculated from temperature and conductivity (derived) according to the Practical Salinity Scale

Conductivity at 25 degrees C (derived)

Water temperature, measured from thermistor placed outside underwater instrument

Notes

How sample was collected in the field

BLE LTER's Core Program station name

Latitude 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

dateTime

string

float

string

decimal

float

string

Measurement Type:

nominal

dateTime

nominal

ratio

interval

nominal

interval

ratio

nominal

Measurement Values Domain:

Definition

any text

Definition

any text

Definition

any text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	break up
Definition	Sampling occurred in spring season (e.g. June) when ice break-up happens.
Source

Code Definition

Code	under ice
Definition	Sampling occurred in winter season (e.g. April) when the lagoons are mostly frozen.
Source

Code Definition

Code	open water
Definition	Sapling occurred in summer season (e.g. late July/early August) when the lagoons have mostly open water.
Source

Format	YYYY-MM-DDThh:mm-hh
Precision	1

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	bottom
Definition	water collected from approximately 30 cm above the bottom
Source

Code Definition

Code	surface
Definition	water collected from approximately 0-30 cm below the surface
Source

Unit	microgramPerLiter
Type	real
Min	0
Max

Unit	microsiemensPerCentimeter
Type	real
Min	0
Max

Unit	milligramPerLiter
Type	real
Min	0
Max

Unit	percent
Type	real
Min	0
Max

Unit	microgramPerLiter
Type	real
Min	0
Max

Unit	dimensionless
Type	real
Min	0
Max	14

Unit	dimensionless
Type	real
Min	0
Max

Unit	microsiemensPerCentimeter
Type	real
Min	0
Max

Unit	celsius
Type	real

Definition

any text

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	sensor
Definition	water property was measured by sensor
Source

Definition

any text

Unit	degree
Type	real
Min	-90
Max	90

Unit	degree
Type	real
Min	-180
Max	180

Unit	meter
Type	real
Min	0
Max

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	lagoon
Definition	Lagoon
Source

Code Definition

Code	ocean
Definition	Ocean
Source

Code Definition

Code	river
Definition	Freshwater river
Source

Allowed Values and Definitions

Enumerated Domain

Code Definition

Code	primary
Definition	Lagoon site is primarily sampled during field sampling.
Source

Code Definition

Code	secondary
Definition	Lagoon site is secondarily sampled during field sampling.
Source

Code Definition

Code	river
Definition	River site
Source

Code Definition

Code	ocean
Definition	Nearshore ocean site
Source

Missing Value Code:

Code	NA
Expl	not available/applicable

Code	NA
Expl	not available, parameter not recorded by instrument used for measurement

Code	NA
Expl	not available, parameter not recorded by instrument used for measurement

Code	NA
Expl	not available, parameter not recorded by instrument used for measurement

Code	NA
Expl	not available, parameter not recorded by instrument used for measurement

Code	NA
Expl	not available, parameter not recorded by instrument used for measurement

Code	NA
Expl	not available/applicable

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/9/6d327300d4893e4f932220fecf49c507
Name:	YSI data subset used for CTD data calibration, 2018-ongoing
Description:	Used for calibration: YSI datasonde temperature, conductivity, and salinity, BLE LTER Core Program, August 2018-ongoing. This is a smaller subset of the YSI data.
Number of Records:	15
Number of Columns:	5

Table Structure

Object Name:

BLE_LTER_hydrography_YSI_for_calibration.csv

Size:

790 byte

Authentication:

4335742cefd56309e550edbb8343fd57 Calculated By MD5

Character Encoding:

UTF-8

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Station

Date time recorded

Salinity

Temperature

Conductivity

Column Name:

station

date_time

salinity

temperature_C

conductivity_uS_cm

Definition:

BLE LTER Core Program station code

Date and time recorded in ISO8601 YYYY-MM-DDThh:mm-hh. Times are in GMT-8.

Salinity calculated from temperature and conductivity (derived) according to the Practical Salinity Scale

Water temperature, measured from thermistor placed outside underwater instrument

Conductivity

External Measurement Definition, Link:

containsMeasurementsOfType water salinity

containsMeasurementsOfType Water Temperature

containsMeasurementsOfType water conductivity

Storage Type:

string

dateTime

float

Measurement Type:

nominal

dateTime

ratio

interval

ratio

Measurement Values Domain:

Definition

any text

Format	YYYY-MM-DDThh:mm-hh
Precision	1

Unit	dimensionless
Type	real

Unit	celsius
Precision	0.1
Type	real

Unit	microsiemensPerCentimeter
Precision	0.1
Type	real

Missing Value Code:

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-ble/3/9/a9071c74bbe90d0bd2649164422aa221
Name:	physiochemistry-hydrography, personnel list
Description:	Personnel list with years involved in this data set
Number of Records:	7
Number of Columns:	8

Table Structure

Object Name:

BLE_LTER_hydrography_personnel.csv

Size:

892 byte

Authentication:

9a568c78603ce8c3bad8c0b117044bd3 Calculated By MD5

Character Encoding:

UTF-8

Text Format:

Number of Header Lines:

Number of Foot Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Data package ID

Given name

Middle name

Surname

Role

Begin year

End year

ORCID

Column Name:

datasetid

givenname

middlename

surname

role

beginyear

endyear

orcid

Definition:

BLE LTER's data package ID

Given name

Middle name or middle initial

Surname or last name

Role in dataset

Beginning year of role in dataset

End year of role in dataset

ORCID

Storage Type:

string

dateTime

string

Measurement Type:

nominal

dateTime

nominal

Measurement Values Domain:

Definition

any text

Definition

any text

Definition

any text

Definition

any text

Definition

any text

Format	YYYY
Precision	1

Format	YYYY
Precision	1

Definition

any 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 Areas	disturbance patterns, movement of inorganic matter, movement of organic matter
LTER Controlled Vocabulary v1	chlorophyll 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 System	Avak Creek, Barter Island, Elson Lagoon, Jago Lagoon, Kaktovik, Kaktovik Lagoon
BLE LTER Controlled Vocabulary	Beaufort 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). All calculations are made by the instrument manufacturer's software.

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.

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:

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:	71.395000	Southern:	71.107110
Western:	-156.603000	Eastern:	-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:	70.150159	Southern:	70.070734
Western:	-143.776703	Eastern:	-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:	70.568803	Southern:	70.190688
Western:	-149.924927	Eastern:	-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:	2024-01-24
comment:	Timothy Whiteaker : Remove misleading raw files. For CTD, revise to show proper precision and add data through 2021.

scope:	Data
old value:	See previous revision 4
change date:	2024-02-26
comment:	Timothy Whiteaker : Add missing YSI sonde values from 2022 and 2023

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' = 'm_s'
        |     |     |        \___attribute 'id' = 'meterPerSecond'
        |     |     |        \___attribute 'name' = 'meterPerSecond'
        |     |     |        \___attribute 'unitType' = 'speed'
        |     |     |___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   '

Copyright 2024 Environmental Data Initiative. This material is based upon work supported by the National Science Foundation under grants #2223103 and #2223104. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. Please contact us with questions, comments, or for technical assistance regarding this web site or the Environmental Data Initiative. Please read our privacy policy to know what information we collect about you and to understand your privacy rights.

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

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

Data Entities

Data Table

Data Table

Data Table

Data Table

Data Table

Data Package Usage Rights

External Annotations

Keywords

Methods and Protocols

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

Hydrographic time series - in situ moorings

Physiochemical parameters - YSI sonde

Manufacturer listed accuracy of each sensor

References

Post-retrieval in situ data processing

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Parent Project Information:

Maintenance

Additional Metadata

Additional Metadata

Recently Added

Recently Updated

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

+/- Data Entities

Data Table

Data Table

Data Table

Data Table

Data Table

+/- Data Package Usage Rights

+/- External Annotations

+/- Keywords

+/- Methods and Protocols

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

Hydrographic time series - in situ moorings

Physiochemical parameters - YSI sonde

Manufacturer listed accuracy of each sensor

References

Post-retrieval in situ data processing

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

+/- Additional Metadata

Data Entities

Data Package Usage Rights

External Annotations

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata

Additional Metadata