Data Package Metadata View Summary

Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

General Information

Data Package:
Local Identifier:	knb-lter-arc.20094.1
Title:	Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.
Alternate Identifier:	DOI PLACE HOLDER
Abstract:	Two Figaro TGS 2600 sensors were installed at the Toolik Wet Sedge site in late June 2012 to 2018. The TGS 2600 was the first low-cost solid state sensor that shows a weak response to ambient levels of methane (i.e., range ~1.8–2.7 µmol mol–1). Reference CH4 mole fractions were measured by a Fast Methane Analyser during the years 2012–2016 which was replace by a Fast Greenhouse Gas Analyzer (Los Gatos Research, Inc., San Jose, CA, U.S.A.) in 2016. Data were used in the Eugster et al. (2020) study on Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low Arctic conditions at Toolik lake, Alaska (doi:10.5194/amt-2019-402)
Short Name:	US-TWE-Logger-ALL-20190111-V3
Publication Date:	2020
Language:	English

Time Period

Begin:

2012-06-26

End:

2018-12-31

People and Organizations
Contact:	Information Manager, Arctic_LTER (Arctic Long Term Ecological Research) [ email ]
Creator:	Eugster, Werner
Creator:	Kling, George
Creator:	Laundre, James

Data Entities
Data Table Name:	US-TWE-Logger-ALL-20190111-V3_csv
Description:	Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.
Other Name:	US-TWE-Logger-ALL-20190111-V3_excel
Description:	Excel file with metadata and data sheetsClimate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

Detailed Metadata

Data Entities

Data Table

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-arc/20094/1/ce5bfed46e17c8e4a9088011c797e1ac

Name:

US-TWE-Logger-ALL-20190111-V3_csv

Description:

Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

Number of Records:

1055525

Number of Columns:

Time Period

Begin:

2012-06-26

End:

2018-12-31

Table Structure

Object Name:

US-TWE-Logger-ALL-20190111-V3.csv

Size:

40369396

Authentication:

d7eed3c8dde78b7e9fcf85d088fe7a07 Calculated By MD5

Authentication:

c94d2747262fc1f2de1804bf7c83f3038b62d128 Calculated By SHA-1

Text Format:

Number of Header Lines:

Record Delimiter:

\r\n

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

TIMESTAMP

ALB_AVG_M1B2_1.28_1

BV_LOGGER_SMP_BOX1_0_1

CH4_FGGA_AVG_M1B1_1.35_1

CH4_LGR_AVG_M1B1_1.35_1

CH4_LGR_AVG_M1B1_1.35_2

CH4_LGR_Reference

CO2_FGGA_AVG_M1B1_1.35_1

CO2_LGR_AVG_M1B1_1.35_1

E_ACT_CALC_M1B1_1.65_1

E_ACT_FIGARO_CALC_M1B1_1.36_1

E_SAT_CALC_M1B1_1.65_1

E_SAT_FIGARO_CALC_M1B1_1.36_1

FIGARO_AVG_M1B1_1.36_1

FIGARO_AVG_M1B1_1.36_2

G_AVG_GF1_0.05_1

G_AVG_GF2_0.05_1

GWL_AVG_WB1_0_1

H2O_LGR_AVG_M1B1_1.35_1

LW_IN_AVG_M1B2_1.28_1

LW_IN_RAW_AVG_M1B2_1.28_1

LW_OUT_AVG_M1B2_1.28_1

LW_OUT_RAW_AVG_M1B2_1.28_1

NETRAD_AVG_M1B2_1.28_1

P_CELL_LGR_AVG_LGR1_0_1

PPFD_IN_AVG_M1B2_1.51_1

PPFD_OUT_AVG_M1B2_1.43_1

RD_TIME_LGR_AVG_LGR1_0_1

RD_TIME_LGR_AVG_LGR1_0_2

RH_AVG_M1B1_1.65_1

RH_FIGARO_AVG_M1B1_1.36_1

RHO_V_CALC_M1B1_1.65_1

SV_LOGGER_SMP_BOX1_0_1

SW_DIF_AVG_M1B1_1.82_1

SW_IN_AVG_M1B1_1.82_1

SW_IN_AVG_M1B2_1.28_1

SW_OUT_AVG_M1B2_1.28_1

SWC_AVG_GF1_0.1_1

SWC_AVG_GF2_0.1_1

T_AMBIENT_LGR_AVG_LGR1_0_1

T_CELL_LGR_AVG_LGR1_0_1

T_LOGGER_AVG_BOX1_0_1

T_PANEL_AVG_BOX1_0_1

T_RAD_AVG_M1B2_1.28_1

TA_AVG_M1B1_1.65_1

TA_FIGARO_AVG_M1B1_1.36_1

TS_AVG_GF3_0.05_1

TS_AVG_GF4_0.05_2

WD_AVG_M1B1_1.6_1

WD_SD_M1B1_1.6_1

WS_AVG_M1B1_1.6_1

Column Name:

TIMESTAMP

ALB_AVG_M1B2_1.28_1

BV_LOGGER_SMP_BOX1_0_1

CH4_FGGA_AVG_M1B1_1.35_1

CH4_LGR_AVG_M1B1_1.35_1

CH4_LGR_AVG_M1B1_1.35_2

CH4_LGR_Reference

CO2_FGGA_AVG_M1B1_1.35_1

CO2_LGR_AVG_M1B1_1.35_1

E_ACT_CALC_M1B1_1.65_1

E_ACT_FIGARO_CALC_M1B1_1.36_1

E_SAT_CALC_M1B1_1.65_1

E_SAT_FIGARO_CALC_M1B1_1.36_1

FIGARO_AVG_M1B1_1.36_1

FIGARO_AVG_M1B1_1.36_2

G_AVG_GF1_0.05_1

G_AVG_GF2_0.05_1

GWL_AVG_WB1_0_1

H2O_LGR_AVG_M1B1_1.35_1

LW_IN_AVG_M1B2_1.28_1

LW_IN_RAW_AVG_M1B2_1.28_1

LW_OUT_AVG_M1B2_1.28_1

LW_OUT_RAW_AVG_M1B2_1.28_1

NETRAD_AVG_M1B2_1.28_1

P_CELL_LGR_AVG_LGR1_0_1

PPFD_IN_AVG_M1B2_1.51_1

PPFD_OUT_AVG_M1B2_1.43_1

RD_TIME_LGR_AVG_LGR1_0_1

RD_TIME_LGR_AVG_LGR1_0_2

RH_AVG_M1B1_1.65_1

RH_FIGARO_AVG_M1B1_1.36_1

RHO_V_CALC_M1B1_1.65_1

SV_LOGGER_SMP_BOX1_0_1

SW_DIF_AVG_M1B1_1.82_1

SW_IN_AVG_M1B1_1.82_1

SW_IN_AVG_M1B2_1.28_1

SW_OUT_AVG_M1B2_1.28_1

SWC_AVG_GF1_0.1_1

SWC_AVG_GF2_0.1_1

T_AMBIENT_LGR_AVG_LGR1_0_1

T_CELL_LGR_AVG_LGR1_0_1

T_LOGGER_AVG_BOX1_0_1

T_PANEL_AVG_BOX1_0_1

T_RAD_AVG_M1B2_1.28_1

TA_AVG_M1B1_1.65_1

TA_FIGARO_AVG_M1B1_1.36_1

TS_AVG_GF3_0.05_1

TS_AVG_GF4_0.05_2

WD_AVG_M1B1_1.6_1

WD_SD_M1B1_1.6_1

WS_AVG_M1B1_1.6_1

Definition:

Date and time of measurement

Albedo

Battery voltage

CH4 mole fraction, analog data output from LGR analyser (FMA until mid-2016, FGGA afterwards)

CH4 mole fraction, digital data recorded by LGR analyser (FGGA since mid-2016)

CH4 mole fraction, digital data recorded by LGR analyser (FMA until mid-2016)

CH4 mole fraction reference compiled from best available data

CO2 mole fraction, analog data output from LGR analyser (FGGA since mid-2016)

CO2 mole fraction, digital data recorded by LGR analyser (FGGA since mid-2016)

Actual vapor pressure, calculated

Actual vapor pressure, calculated for TGS2600

Saturation vapor pressure, calculated

Saturation vapor pressure, calculated for TGS2600

Raw sensor signal from Figaro TGS2600 gas sensor #2

Soil heat flux density at 0.05 m depth, location #1

Soil heat flux density at 0.05 m depth, location #2

Ground water level signal (raw)

H2O mole fraction, digital data recorded by LGR analyser (FGGA since mid-2016)

Long-wave incoming (downwelling) radiation

Long-wave outgoing (upwelling) radiation

Raw long-wave outgoing radiation relative to instrument temperature

Net radiation (all-wave)

Cell pressure of LGR ICOS analyser (in Torr, or mm Hg)

Incoming (downwelling) photosynthetic photon flux density

Reflected photosynthetic photon flux density

Ringdown time of laser #1 in LGR ICOS analayser

Ringdown time of laser #2 in LGR ICOS analayser

Relative humidity

Water vapor density, calculated

Supply voltage on data logger

Short-wave diffuse (upper hemisphere) radiaton of sensor #2

Short-wave incoming (downwelling) radiation, sensor #2

Short-wave incoming (downwelling) radiation

Reflected short-wave (outgoing, upwelling) radiation

Volumetric soil water content, sensor #1

Volumetric soil water content, sensor #2

Ambient temperature of LGR ICOS analyser

Cell temperature of LGR ICOS analyser

Temperature of data logger inside box #1

Reference temperature sensor on data logger panel

Radiation temperature of radiometer housing

Air temperature

Air temperature next to Figaro sensor

Soil temperature at 0.05 m depth, location #3

Soil temperature at 0.05 m depth, location #4

Mean wind direction, vector average

Wind direction, vectorial standard deviation

Mean horizontal wind speed, scalar average

Storage Type:

date

Measurement Type:

dateTime

ratio

Measurement Values Domain:

Format	YYYY-MM-DD hh:mm:ss
Precision

Unit	dimensionless
Type	real
Min	0
Max	0

Unit	volt
Type	real
Min	0
Max	0

Unit	partPerBillion
Type	real
Min	0
Max	0

Unit	partPerMillion
Type	real
Min	0
Max	0

Unit	partPerMillion
Type	real
Min	1.91551002777778
Max	1.92980988611111

Unit	partPerMillion
Type	real
Min	1.91551002777778
Max	1.92980988611111

Unit	partPerMillion
Type	real
Min	0
Max	0

Unit	partPerMillion
Type	real
Min	0
Max	0

Unit	hectoPascal
Type	real
Min	0
Max	0

Unit	hectoPascal
Type	real
Min	0
Max	0

Unit	hectoPascal
Type	real
Min	0
Max	0

Unit	hectoPascal
Type	real
Min	0
Max	0

Unit	millivolt
Type	real
Min	0
Max	0

Unit	millivolt
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	centimeter
Type	real
Min	0
Max	0

Unit	partPerMillion
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	torr
Type	real
Min	0
Max	0

Unit	micromolePerMeterSquaredPerSecond
Type	real
Min	0
Max	0

Unit	micromolePerMeterSquaredPerSecond
Type	real
Min	0
Max	0

Unit	millisecond
Type	real
Min	0
Max	0

Unit	millisecond
Type	real
Min	0
Max	0

Unit	percent
Type	real
Min	0
Max	0

Unit	percent
Type	real
Min	0
Max	0

Unit	kilogramPerMeterCubed
Type	real
Min	0
Max	0

Unit	volt
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	wattPerMeterSquared
Type	real
Min	0
Max	0

Unit	percent
Type	real
Min	0
Max	0

Unit	percent
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	celsius
Type	real
Min	0
Max	0

Unit	degree
Type	real
Min	0
Max	0

Unit	degree
Type	real
Min	0
Max	0

Unit	meterPerSecond
Type	real
Min	0
Max	0

Missing Value Code:

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Code	NA
Expl	Missing or Not Measured

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Non-Categorized Data Resource

Name:

US-TWE-Logger-ALL-20190111-V3_excel

Entity Type:

document

Description:

Excel file with metadata and data sheetsClimate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

Physical Structure Description:

Object Name:

US-TWE-Logger-ALL-20190111-V3.xlsx

Size:

42411957

Authentication:

bf9a9bdbb02ab7cc2f8cf04f6003b7b5 Calculated By MD5

Authentication:

6f0ec6b32292cc6da51e1e6d9241c35fb3e71057 Calculated By SHA-1

Externally Defined Format:

Format Name:

application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Data:

https://pasta-s.lternet.edu/package/data/eml/knb-lter-arc/20094/1/580e5d48c8b1c8bc816cecb312f00d68

Data Package Usage Rights

Data Policies

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

The re-use of scientific data has the potential to greatly increase communication, collaboration and synthesis within and among disciplines, and thus is fostered, supported and encouraged. Permission to use this dataset is granted to the Data User free of charge subject to the following terms:

Citation. It is considered a matter of professional ethics to acknowledge the work of other scientists. Thus, the Data User should properly cite the Data Set in any publications or in the metadata of any derived data products that were produced using the Data Set.
Acknowledgement. The Data User should acknowledge any institutional support or specific funding awards referenced in the metadata accompanying this dataset in any publications where the Data Set contributed significantly to its content. Acknowledgements should identify the supporting party, the party that received the support, and any identifying information such as grant numbers. For example: Data sets were provided by the Arctic LTER. This material is based upon work supported by the National Science Foundation under Grants #ARC-1107593, 1107707, 0632139 and #DEB-1026843.
Notification. The Data User will notify the Data Set Contact when any derivative work or publication based on or derived from the Data Set is distributed. The Data User will provide the data contact with two reprints of any publications resulting from use of the Data Set and will provide copies, or online access to, any derived digital products. Notification will include an explanation of how the Data Set was used to produce the derived work.
Collaboration. The Data Set has been released in the spirit of open scientific collaboration. Data Users are thus strongly encouraged to consider consultation, collaboration and/or co-authorship with the Data Set Creator.
Disclaimer. While substantial efforts are made to ensure the accuracy of data and documentation contained in this Data Set, complete accuracy of data and metadata cannot be guaranteed. All data and metadata are made available "as is". The Data User holds all parties involved in the production or distribution of the Data Set harmless for damages resulting from its use or interpretation.

Keywords

By Thesaurus:
Core Areas	organic matter
LTER Controlled Vocabulary	vapor pressure, eddy covariance, lakes, methane, disturbances
Arctic LTER Vocabulary	arctic lakes, Northern Alaska, Trace gas sensor, SnO2 sensor, Leak detector

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:

Field measurements were carried out at the Toolik wet sedge site (TWE, 68°37027.6200 N, 149°36008.1000 W, 728.14 m elevation, WGS 84 datum) where seasonal eddy covariance ﬂux measurements were carried out during the summer seasons of 2010–2015 and partially during winters starting in 2014 until 15 June 2016, with the continuation as a meteorological station until present.
Two Figaro TGS 2600 sensors were installed at the TWE site in late June 2012. The TGS 2600 is sensitive to methane at low concentrations, but also to hydrogen, carbon monoxide, iso-butane, and ethanol. It is the only low-cost solid-state sensor that we are aware off or which the manufacturer indicates a sensitivity to methane even under ambient (~2 µmol mol–1) methane concentrations, whereas most other sensors are only sensitive at concentrations that exceed ambient levels by at least one or two orders of magnitude. The TWE site receives line power from the Toolik Field Station (TFS) power generator. During the snow and ice-free summer season (typically late June to mid-August) measurements are almost interruption free, but during the cold season (typically September to late May) longer power interruptions limit the winter data coverage. Nevertheless, this is the ﬁrst study that provides low-cost sensor methane mole fraction measurements over a temperature range from Arctic winter temperatures of –41°C and to a relatively balmy 27°C during short periods of the Arctic summer. Reference CH4 mole fractions were measured by a Fast Methane Analyzer (FMA, Los Gatos Research, Inc., San Jose, CA, USA; years 2012–2016) which was replace by a Fast Greenhouse Gas Analyzer for combined CH4/CO2/H2O concentration measurements (FGGA, Los Gatos Research, Inc., San Jose, CA, U.S.A.; since 2016). Until 18 June 2016 the CH4 concentrations were calculated as 1-minute averages from the raw eddy covariance ﬂux data ﬁles. We report all gas mole fractions in μmol mol−1 or nmol mol−1. The FMA and FGGA sampling rate was set to 20 Hz, and the ﬂow rate of sample air was ca. 20 L min−1. After the termination of eddy covariance ﬂux measurements, the FGGA measurements were continued with the instrument’s80 internal pump (ﬂow rate ca. 0.65 L min−1) with 1 Hz raw data sampling. In addition to digital recording, the CH4 signal was converted to an analog voltage that was recorded on a CR23X data logger (Campbell Scientiﬁc Inc. [CSI], Logan, UT, USA). Because the TGS 2600 sensors only show a weak response to CH4, but are highly sensitive to temperature and humidity, a
LinPicco A05 Basic sensor (IST Innovative Sensor Technology, Wattwil, Switzerland) was added next to the TGS 2600.
Calculation: See publication (under details)
For details see:
Eugster, W., Laundre, J., Eugster, J., and Kling, G. W.: Long-term reliability of the Figaro TGS 2600 solid-state methane sensor under low Arctic conditions at Toolik lake, Alaska, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2019-402
and the final version accessible via the discussion paper referenced above.

People and Organizations

Publishers:

Individual:

Arctic LTER publisher

Address:

7 M B L St.,

Woods Hole, MA 02536 US

Email Address:

arc_im@mbl.edu

Creators:

Individual:

Werner Eugster

Address:

ETH Zurich,

Email Address:

werner.eugster@usys.ethz.ch

Individual:

George Kling

Address:

University of Michigan,Department of Ecology and Evolutionary Biology,830 North University,

Ann Arbor, MI 48109-1048 US

Email Address:

gwk@umich.edu

Id:

https://orcid.org/0000-0002-6349-8227

Individual:

James Laundre

Address:

Marine Biological Laboratory,Ecosystems Center,

Woods Hole, MA 02543 US

Email Address:

jlaundre@mbl.edu

Id:

https://orcid.org/0000-0002-2061-8655

Contacts:

Individual:

Arctic_LTER Information Manager

Organization:

Arctic Long Term Ecological Research

Address:

7 M B L St,

Woods Hole, MA 02536 US

Phone:

(508) 548-3705 (voice)

Email Address:

arc_im@mbl.edu

Metadata Providers:

Organization:

Arctic Long Term Ecological Research

Web Address:

http://arc.lternet.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2012-06-26

End:

2018-12-31

Sampling Site:

Description:

Toolik Wet Land Flux: In 2010 an eddy flux station was set up in the wet sedge on the southeast shore of Toolik Lake, Toolik Field Station Alaska.

Site Coordinates:

Longitude (degree):	-149.602	Latitude (degree):	68.6244
Altitude (meter):	729

Temporal, Geographic and/or Taxonomic information that applies to Data Table: US-TWE-Logger-ALL-20190111-V3_csv

Time Period

Begin:

2012-06-26

End:

2018-12-31

Project

Parent Project Information:

Title:

Arctic Long Term Ecological Research (ARC LTER)

Personnel:

Individual:

Edward Rastetter

Address:

7 M B L St.,

Woods Hole, MA 02543 US

Email Address:

erastetter@mbl.edu

Web Address:

https://www.mbl.edu/ecosystems/rastetter/

Id:

https://orcid.org/0000-0002-8620-5431

Role:

principalInvestigator

Individual:

Gaius Shaver

Address:

7 M B L St,

Woods Hole, MA 02543 US

Email Address:

gshaver@mbl.edu

Web Address:

http://www.mbl.edu/ecosystems/staff/shaver/

Id:

https://orcid.org/0000-0002-6745-9989

Role:

principalInvestigator

Individual:

John Hobbie

Address:

Ecosystems Center,Marine Biological Laboratory, 7 M B L St,

Woods Hole, MA 02543 US

Email Address:

jhobbie@mbl.edu

Web Address:

http://www.mbl.edu/ecosystems/faculty/hobbie/

Role:

principalInvestigator

Abstract:

The Arctic is one of the most rapidly warming regions on Earth.  Responses to this warming involve acceleration of processes common to other ecosystems around the world (e.g., shifts in plant community composition) and changes to processes unique to the Arctic (e.g., carbon loss from permafrost thaw).  The objectives of the Arctic Long-Term Ecological Research (LTER) Project for 2017-2023 are to use the concepts of biogeochemical and community “openness” and “connectivity” to understand the responses of arctic terrestrial and freshwater ecosystems to climate change and disturbance.  These objectives will be met through continued long-term monitoring of changes in undisturbed terrestrial, stream, and lake ecosystems in the vicinity of Toolik Lake, Alaska, observations of the recovery of these ecosystems from natural and imposed disturbances, maintenance of existing long-term experiments, and initiation of new experimental manipulations.  Based on these data, carbon and nutrient budgets and indices of species composition will be compiled for each component of the arctic landscape to compare the biogeochemistry and community dynamics of each ecosystem in relation to their responses to climate change and disturbance and to the propagation of those responses across the landscape.

Funding:

1637459

1026843

0423385

9810222

9211775

8702328

Maintenance

Maintenance:

Description:

Version 1: screened and cleaned, used in publication

Frequency:

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unitList')
        |     |     |  \___attribute 'schemaLocation' in ns 'http://www.w3.org/2001/XMLSchema-instance' ('xsi:schemaLocation') = 'http://www.xml-cml.org/schema/stmml-1.1 http://nis.lternet.edu/schemas/EML/eml-2.1.0/stmml.xsd'
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'partPerBillion'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'ppm'
        |     |     |     |  \___attribute 'id' = 'partPerMillion'
        |     |     |     |  \___attribute 'name' = 'partPerMillion'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as parts per million (1:1000000)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = ''
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'hectoPascal'
        |     |     |     |  \___attribute 'multiplierToSI' = '10'
        |     |     |     |  \___attribute 'name' = 'hectoPascal'
        |     |     |     |  \___attribute 'parentSI' = 'pascal'
        |     |     |     |  \___attribute 'unitType' = 'pressure'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'newtons per square meter'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'W/m²'
        |     |     |     |  \___attribute 'id' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'name' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'unitType' = 'irradiance'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'irradiance unit'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'id' = 'torr'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'umol/m2/second'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'micromolePerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'multiplierToSI' = '0.0864'
        |     |     |     |  \___attribute 'name' = 'micromolePerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'parentSI' = 'molePerMeterSquaredPerDay'
        |     |     |     |  \___attribute 'unitType' = 'arealMassDensityRate'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'micromole per meter squared per second'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = '%'
        |     |     |     |  \___attribute 'constantToSI' = '0'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'multiplierToSI' = '100'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'parentSI' = 'numberPerNumber'
        |     |     |     |  \___attribute 'unitType' = 'dimensionless'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'ratio of two quantities as percent composition (1:100)'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'kg/m³'
        |     |     |     |  \___attribute 'id' = 'kilogramPerMeterCubed'
        |     |     |     |  \___attribute 'name' = 'kilogramPerMeterCubed'
        |     |     |     |  \___attribute 'unitType' = 'massDensity'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'kilogram per cubic meter'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:unit')
        |     |     |     |  \___attribute 'abbreviation' = 'm/s'
        |     |     |     |  \___attribute 'id' = 'meterPerSecond'
        |     |     |     |  \___attribute 'name' = 'meterPerSecond'
        |     |     |     |  \___attribute 'unitType' = 'speed'
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description' in ns 'http://www.xml-cml.org/schema/stmml-1.1' ('stmml:description')
        |     |     |     |     |___text 'meters per second'
        |     |     |     |___text '\n        '
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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:ADC'
        |     |     |___text '\n      '
        |     |___text '\n    '
        |___text '\n  '

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Data Package Metadata View Summary

Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

Data Entities

Data Table

Non-Categorized Data Resource

Data Package Usage Rights

Data Policies

Keywords

Methods and Protocols

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

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: US-TWE-Logger-ALL-20190111-V3_csv

Project

Parent Project Information:

Maintenance

Additional Metadata

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Climate data from Arctic LTER Toolik Inlet Wet Sedge site, Toolik Field Station, Alaska 2012 to 2018.

+/- Data Entities

Data Table

Non-Categorized Data Resource

+/- Data Package Usage Rights

Data Policies

+/- Keywords

+/- Methods and Protocols

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

+/- People and Organizations

+/- Temporal, Geographic and Taxonomic Coverage

Temporal, Geographic and/or Taxonomic information that applies to Data Table: US-TWE-Logger-ALL-20190111-V3_csv

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata

Additional Metadata