Data Package Metadata View Summary

Hubbard Brook Experimental Forest: Flux Tower Data

General Information

Data Package:

Local Identifier:

knb-lter-hbr.241.4

Title:

Hubbard Brook Experimental Forest: Flux Tower Data

Alternate Identifier:

DOI PLACE HOLDER

Abstract:

Data collected from the Hubbard Brook Flux Tower starting in August 2016 that is also uploaded to the Ameriflux website under site name US-HBK. These data are from a suite of sensors installed on the 110 ft. tower and in the soil adjacent to the tower. Flux data are collected at 10 Hz and are processed into 30-minute time steps using Licor’s Eddy Pro software. Supporting micro-meteorological data are averaged at 30 minute intervals and are included with this data set.

These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.

Publication Date:

2023-01-13

For more information:
Visit:	DOI PLACE HOLDER

Time Period

Begin:

2016-08-25

End:

2022-08-30

People and Organizations
Contact:	Hubbard Brook Ecosystem Study [ email ]
Creator:	Kelsey, Eric (Plymouth State University)
Creator:	Green, Mark (Case Western Reserve University)
Creator:	Evans, Daniel (Plymouth State University)
Creator:	Wright, Ellis (Case Western Reserve University)

Data Entities
Data Table Name:	Complete_Gap_Filled_HB_Flux_Tower_Set
Description:	Gapfilled flux data

Detailed Metadata

Data Entities

Data Table


Data:	https://pasta-s.lternet.edu/package/data/eml/knb-lter-hbr/241/4/e4b7097ab4edcd4f4d3f3419b0cae613
Name:	Complete_Gap_Filled_HB_Flux_Tower_Set
Description:	Gapfilled flux data
Number of Records:	105408
Number of Columns:	68

Table Structure

Object Name:

HBR_flux_tower_data_9_2022.csv

Size:

50747420 bytes

Authentication:

3e84bb8601669d82ff483ff5490ca46a Calculated By MD5

Text Format:

Number of Header Lines:

Record Delimiter:

Orientation:

column

Simple Delimited:

Field Delimiter:	,
Quote Character:	"

Table Column Descriptions

Column Name:

timestamp

NETRAD

SW_IN

SW_OUT

LW_IN

LW_OUT

PAR

USTAR

TA_HIGH

RH_HIGH

VPD_HIGH

TA_LOW

RH_LOW

VPD_LOW

SWC_1

SWC_2

SWC_3

SWC_4

SWP_1

SWP_2

SWP_3

SWP_4

TSOIL_10.1

TSOIL_20.1

TSOIL_30.1

TSOIL_50.1

TSOIL_10.2

TSOIL_20.2

TSOIL_30.2

TSOIL_50.2

TSNOW_10

TSNOW_20

TSNOW_30

TSNOW_40

TSNOW_50

TSNOW_60

TSNOW_70

TSNOW_80

TSNOW_90

TSNOW_100

TSNOW_110

TSNOW_120

TSNOW_130

TSNOW_140

TA3

TA6

TA9

TA12

TA15

TA18

TA21

TA24

TA27

TA30

TSOIL_surf

DENDRO_1

DENDRO_2

DENDRO_3

DENDRO_4

DENDRO_5

DENDRO_6

Definition:

Observation timestamp

Carbon Dioxide (CO2) turbulent flux (no storage correction)

Latent heat turbulent flux (no storage correction)

Sensible heat turbulent flux (no storage correction)

Soil heat flux

Net radiation

Shortwave radiation, incoming

Shortwave radiation, outgoing

Longwave radiation, incoming

Longwave radiation, outgoing

Photosynthetically active radiation

Friction velocity

Wind direction

Wind speed

Monin-Obukhov Stability

Air temperature 33 meters (cs215)

Relative humidity, range 0-100 33 meters (cs215)

Vapor Pressure Deficit 33 meters (cs215)

Air temperature 1.5 meters (cs215)

Relative humidity, range 0-100 1.5 meters (cs215)

Vapor Pressure deficit 1.5 meters (cs215)

Soil Water Content 10 cm depth

Soil Water Content 20 cm depth

Soil Water Content 30 cm depth

Soil Water Content 50 cm depth

Soil Water Potential 10 cm depth

Soil Water Potential 20 cm depth

Soil Water Potential 30 cm depth

Soil Water Potential 50 cm depth

Soil temperature from SWC sensor 10cm

Soil temperature from SWC sensor 20cm

Soil temperature from SWC sensor 30cm

Soil temperature from SWC sensor 50cm

Soil temperature from SWP sensor 10cm

Soil temperature from SWP sensor 20cm

Soil temperature from SWP sensor 30cm

Soil temperature from SWP sensor 50cm

Snow stack air temperature 10cm (thermistors)

Air temperature from 3 meters (thermistors)

Air temperature from 6 meters (thermistors)

Air temperature from 9 meters (thermistors)

Air temperature from 12 meters (thermistors)

Air temperature from 15 meters (thermistors)

Air temperature from 18 meters (thermistors)

Air temperature from 21 meters (thermistors)

Air temperature from 24 meters (thermistors)

Air temperature from 27 meters (thermistors)

Air temperature from 30 meters (thermistors at snow stack)

Soil temp at surface (thermistors)

Tree circumference

Storage Type:

date

float

Measurement Type:

dateTime

ratio

Measurement Values Domain:

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

Unit	micromolePerMeterSquaredPerSecond
Type	real
Min	-99.4833
Max	99.7379

Unit	wattPerMeterSquared
Type	real
Min	-199.547
Max	699.508

Unit	wattPerMeterSquared
Type	real
Min	-882.823
Max	966.062

Unit	wattPerMeterSquared
Type	real
Min	-13.985
Max	37.12

Unit	wattPerMeterSquared
Type	real
Min	-66.7148
Max	937.1239

Unit	wattPerMeterSquared
Type	real
Min	-8.938131
Max	1150.624

Unit	wattPerMeterSquared
Type	real
Min	-7.144282
Max	213.7526

Unit	wattPerMeterSquared
Type	real
Min	-79.06416
Max	10.31974

Unit	wattPerMeterSquared
Type	real
Min	-12.9204
Max	8.007607

Unit	micromolePerMeterSquaredPerSecond
Type	real
Min	-0.08305699
Max	2162.142

Unit	metersSquaredPerSecond
Type	real
Min	0.0159874
Max	2.22756

Unit	degree
Type	real
Min	0.0308029
Max	359.999

Unit	meterPerSecond
Type	real
Min	0.0106912
Max	12.3105

Unit	dimensionless
Type	real
Min	-2691.22
Max	1750.32

Unit	celsius
Type	real
Min	-25.6921
Max	32.2242

Unit	percent
Type	real
Min	12.0224
Max	99.998

Unit	hectopascal
Type	real
Min	8.52568812031995e-06
Max	3.15748114639887

Unit	celsius
Type	real
Min	-25.3203
Max	31.5652

Unit	percent
Type	real
Min	12.1059
Max	99.998

Unit	hectopascal
Type	real
Min	8.20018123398603e-06
Max	3.29677259642706

Unit	percent
Type	real
Min	0.024
Max	0.344

Unit	percent
Type	real
Min	0.098
Max	0.458

Unit	percent
Type	real
Min	0.082
Max	0.341

Unit	percent
Type	real
Min	0.053
Max	0.194

Unit	kilopascal
Type	real
Min	-4172
Max	-10.08

Unit	kilopascal
Type	real
Min	-1653
Max	-9.76

Unit	kilopascal
Type	real
Min	-1148
Max	-9.33

Unit	kilopascal
Type	real
Min	-426.5
Max	-9.08

Unit	celsius
Type	real
Min	0.008
Max	18.85

Unit	celsius
Type	real
Min	0.783
Max	17.38

Unit	celsius
Type	real
Min	1.345
Max	16.65

Unit	celsius
Type	real
Min	1.91
Max	15.41

Unit	celsius
Type	real
Min	0.467
Max	18.27

Unit	celsius
Type	real
Min	1.3
Max	17.4

Unit	celsius
Type	real
Min	1.783
Max	16.6

Unit	celsius
Type	real
Min	2.4
Max	15.9

Unit	celsius
Type	real
Min	-16.03
Max	32.89

Unit	celsius
Type	real
Min	-25.24
Max	31.88

Unit	celsius
Type	real
Min	-64.34
Max	32.03

Unit	celsius
Type	real
Min	-25.2
Max	30.94

Unit	celsius
Type	real
Min	-25.22
Max	30.65

Unit	celsius
Type	real
Min	-25.19
Max	31.09

Unit	celsius
Type	real
Min	-42
Max	30.75

Unit	celsius
Type	real
Min	-25.17
Max	30.67

Unit	celsius
Type	real
Min	-25.28
Max	30.42

Unit	celsius
Type	real
Min	-25.25
Max	31.16

Unit	celsius
Type	real
Min	-25.23
Max	31.23

Unit	celsius
Type	real
Min	-25.2
Max	30.65

Unit	celsius
Type	real
Min	-25.3
Max	30.72

Unit	celsius
Type	real
Min	-25.26
Max	31.09

Unit	celsius
Type	real
Min	-25.02
Max	31.57

Unit	celsius
Type	real
Min	-25.13
Max	31.67

Unit	celsius
Type	real
Min	-25.12
Max	31.57

Unit	celsius
Type	real
Min	-25.21
Max	31.73

Unit	celsius
Type	real
Min	-25.36
Max	31.87

Unit	celsius
Type	real
Min	-25.25
Max	32.18

Unit	celsius
Type	real
Min	-25.31
Max	33.55

Unit	celsius
Type	real
Min	-25.32
Max	32.79

Unit	celsius
Type	real
Min	-25.41
Max	32.27

Unit	celsius
Type	real
Min	-25.42
Max	32.18

Unit	celsius
Type	real
Min	-0.4745
Max	20.82

Unit	millimeter
Type	real
Min	11.6
Max	12.83

Unit	millimeter
Type	real
Min	12.2
Max	17.66

Unit	millimeter
Type	real
Min	13.23
Max	26.75

Unit	millimeter
Type	real
Min	10.72
Max	19.79

Unit	millimeter
Type	real
Min	9.32
Max	11.13

Unit	millimeter
Type	real
Min	11.35
Max	17.86

Missing Value Code:

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Code	-9999
Expl	No data available

Accuracy Report:

Accuracy Assessment:

Coverage:

Methods:

Data Package Usage Rights

This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data (\"Data User\" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available \"as is.\" The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.

Keywords

By Thesaurus:
LTER Controlled Vocabulary	ecosystems, forests, watersheds, carbon flux, evapotranspiration
LTER Core Research Area	disturbance
HBES Vocabulary	HBR, Hubbard Brook LTER, Hubbard Brook Experimental Forest, Hubbard Brook Ecosystem Study, HBES, HBEF, New Hampshire, NH, White Mountain National Forest, US-HBK, AMERIFLUX, water flux, energy flux
ISO 19115 Topic Category	climatologyMeteorologyAtmosphere
National Research & Development Taxonomy	Climate change, Climate change effects, Ecology, Ecosystems, & Environment

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:

Sensors

On top of tower at 110 ft., 20-30 ft above top of canopy:

- Li-7500 open-path gas analyzer (C and H20 flux)

- Gill Windmaster sonic anemometer (3D wind)

- Kipp and Zonen CNR4 net radiometer

- Kipp and Zonen albedometer

- Apogee aspirated shield houses a CS 215 temperature sensor

On ground near tower base:

- 4x CS 655 soil moisture reflectometers and Teros 21 matric potential sensors at 10, 20, 30, and 50 cm

- 2x heat flux stations using 2 Huskeflux heat flux plates and two thermistors at each station

- A vertical profile of shielded air temperature sensors every 3 m from 3 to 30 m

- A vertical profile of snow temperature sensors every 10 cm from 10 to 140 cm above the soil surface.

These sensors are measuring unshielded air temperature when not covered with snow.

- Tree diameter with 6 digital recording dendrometers

Using the AMERIFLUX full dataset output AMERIFLUX defined variable names, we first added more columns to the set by partitioning TIMESTAMP_START into Year, Month, Day (of the month), and Hour columns. For data taken at the half-hour, it was reflected in the Hour column by adding 0.5 to the current hour. We set negative SW_IN and SW_OUT to NA. AT_DIFF is the difference in air temperature at 3 meters and 30 meters.

Gap Filling Methods

For the gap-filling procedure, each variable (LE, H, and FC) was assigned two models, a comprehensive model, and a limited model. The comprehensive model used more variables for prediction than the limited model. This allows for the use of the comprehensive model for predictions, but when some of those variables are not available, to rely on the limited model to make the prediction. For LE, the limited model used: USTAR, G, AT_3, AT_30, AT_DIFF, MONTH, DAY, and HOUR. Note, AT_3 and AT_30 are the air temperatures at 3 and 30 meters respectively. For the LE comprehensive model, the variables used were: AT_DIFF, SW_IN, SW_OUT, LW_IN, LW_OUT, G, VPD, USTAR, MONTH, DAY, HOUR, YEAR. For H, the limited model used: USTAR, AT_3, AT_30, MONTH DAY, HOUR, YEAR, G, and AT_DIFF. The comprehensive model for H used: USTAR, SW_IN, SW_OUT, LW_IN, LW_OUT, G, AT_DIFF, AT_3, AT_30. The limited model for FC used: USTAR, VPD, G, AT_DIFF, YEAR, MONTH, HOUR, and DAY. The comprehensive model for FC used: USTAR, WD, WS, VPD, SWC_1, SWC_2, NETRAD, SW_IN, SW_OUT, LW_IN, LW_OUT, G, AT_3, AT_30, AT_DIFF, YEAR, MONTH, DAY, and HOUR. Using the listed variables, we randomly split the data set into training (70%) and testing (30%) sets when all the variables' values were available. Then each model was made using the 'randomForest' package in R with the 'randomForest' function. Using the models, we compared their predictions to the testing sets using the Nash-Sutcliffe equilibrium (NSE) value. The predictions were made with the 'predict' function. Finally, the final data set was created using all the predictions from each model. When the comprehensive model had a prediction, it was used over the limited model because the comprehensive models were better predictors according to the NSE. The gap-filled values are labeled in the columns LE_METH, H_METH, and FC_METH indicating which method was used (comprehensive, limited, or measured).

People and Organizations

Publishers:

Organization:

Environmental Data Initiative

Email Address:

info@edirepository.org

Web Address:

https://edirepository.org

Id:

https://ror.org/0330j0z60

Creators:

Individual:

Eric Kelsey

Organization:

Plymouth State University

Email Address:

ekelsey2@plymouth.edu

Individual:

Mark Green

Organization:

Case Western Reserve University

Email Address:

mbgreen@plymouth.edu

Id:

https://orcid.org/0000-0002-7415-7209

Individual:

Daniel Evans

Organization:

Plymouth State University

Email Address:

dmevans1@plymouth.edu

Id:

https://orcid.org/0000-0001-5637-1140

Individual:

Ellis Wright

Organization:

Case Western Reserve University

Email Address:

enw30@case.edu

Id:

https://orcid.org/0000-0001-6185-2715

Contacts:

Organization:

Hubbard Brook Ecosystem Study

Email Address:

hbr-im@lternet.edu

Temporal, Geographic and Taxonomic Coverage

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

Time Period

Begin:

2016-08-25

End:

2022-08-30

Geographic Region:

Description:

Hubbard Brook Experimental Forest Flux Tower

Bounding Coordinates:

Northern:	43.9397	Southern:	44.9397
Western:	-71.718128	Eastern:	-71.718128

Project

Parent Project Information:

Title:

Hydrological Processes in Northern Forests

Personnel:

Individual:

Mark Green

Organization:

Case Western Reserve University

Email Address:

mbgreen@plymouth.edu

Id:

https://orcid.org/0000-0002-7415-7209

Role:

Principal Investigator

Funding:

USDA Forest Service, Northern Research Station (NRS) 19-JV-11242307-056

Related Project:

Title:

LTER: Long Term Ecological Research at the Hubbard Brook Experimental Forest (2016)

Personnel:

Individual:

Peter M Groffman

Organization:

Cary Institute of Ecosystem Studies

Email Address:

groffmanp@caryinstitute.org

Id:

https://orcid.org/0000-0001-8371-6255

Role:

Principal Investigator

Funding:

National Science Foundation (NSF) 1637685

Maintenance

Maintenance:

Description:	ongoing
Frequency:

Other Metadata

Additional Metadata

additionalMetadata
        |___text '\n    '
        |___element 'metadata'
        |     |___text '\n      '
        |     |___element 'unitList'
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'name' = 'wattPerMeterSquared'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'wattPerMeterSquared'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'micromolePerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'name' = 'micromolePerMeterSquaredPerSecond'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'micromolePerMeterSquaredPerSecond'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'metersSquaredPerSecond'
        |     |     |     |  \___attribute 'name' = 'metersSquaredPerSecond'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'metersSquaredPerSecond'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'meterPerSecond'
        |     |     |     |  \___attribute 'name' = 'meterPerSecond'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'meterPerSecond'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'micromolePerMole'
        |     |     |     |  \___attribute 'name' = 'micromolePerMole'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'micromolePerMole'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'hectopascal'
        |     |     |     |  \___attribute 'name' = 'hectopascal'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'hectopascal'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'millimolePerMole'
        |     |     |     |  \___attribute 'name' = 'millimolePerMole'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'millimolePerMole'
        |     |     |     |___text '\n        '
        |     |     |___text '\n        '
        |     |     |___element 'unit'
        |     |     |     |  \___attribute 'id' = 'percent'
        |     |     |     |  \___attribute 'name' = 'percent'
        |     |     |     |  \___attribute 'parentSI' = ''
        |     |     |     |  \___attribute 'unitType' = ''
        |     |     |     |___text '\n          '
        |     |     |     |___element 'description'
        |     |     |     |     |___text 'percent'
        |     |     |     |___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

Hubbard Brook Experimental Forest: Flux Tower Data

Data Entities

Data Table

Data Package Usage Rights

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

Project

Parent Project Information:

Maintenance

Additional Metadata

Recently Added

Recently Updated

Data Package Metadata View Summary

Hubbard Brook Experimental Forest: Flux Tower Data

+/- Data Entities

Data Table

+/- Data Package Usage Rights

+/- 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

+/- Project

Parent Project Information:

+/- Maintenance

+/- Additional Metadata

Data Entities

Data Package Usage Rights

Keywords

Methods and Protocols

People and Organizations

Temporal, Geographic and Taxonomic Coverage

Project

Maintenance

Additional Metadata