Dataset: Global observed nitrate d15N

Name: Compiled dataset consisting of published and unpublished global nitrate d15N measurements from from 1975-2018
Published: 2019-05-28
Keywords: oceans

Cite This Dataset

DOI:10.1575/1912/bco-dmo.768627.1

Spatial Extent: N:83 E:180 S:-78 W:-180

Temporal Extent: 1975 - 2018

Project:

Collaborative research: Combining models and observations to constrain the marine iron cycle (Fe Cycle Models and Observations)

Principal Investigator:

Patrick Rafter (University of California-Irvine, UC Irvine)

Co-Principal Investigator:

Aaron Bagnell (University of California-Santa Barbara, UCSB)

Timothy DeVries (University of California-Santa Barbara, UCSB)

Dario Marconi (Princeton University)

Contact:

Patrick Rafter (University of California-Irvine, UC Irvine)

BCO-DMO Data Manager:

Shannon Rauch (Woods Hole Oceanographic Institution, WHOI BCO-DMO)

Version:

Version Date:

2019-05-28

Restricted:

Validated:

Yes

Current State:

Final with updates expected

Compiled dataset consisting of published and unpublished global nitrate d15N measurements from from 1975-2018

Abstract:

Nitrate d15N observations were compiled from studies dating from 1975 to 2018. Whenever possible, the data was acquired via the original author, but in other cases the data was estimated from the publication directly. All observations were treated equally, although the failure to remove nitrite when using the "denitrifier method" may bias the nitrate d15N to low values (Rafter et al., 2013). This version of the dataset (1.0) will be updated as new data are published.

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Archival Copy

Version Date	Archive	Persistent Identifier	Date Assigned
2019-05-28	Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)	10.1575/1912/bco-dmo.768627.1	2019-06-17

Description

Version Note: This version of the dataset (1.0) will be updated as new data are published.

Methods & Sampling

Data Compilation: Nitrate d15N observations were compiled from studies dating from 1975 to 2018. Whenever possible, the data was acquired via the original author, but in other cases the data was estimated from the publication directly. All observations were treated equally, although the failure to remove nitrite when using the "denitrifier method" may bias the nitrate d15N to low values (Rafter et al., 2013).

For complete methodology, refer to Rafter et al. (2019).

Data Processing Description

Building the neural network model: We utilize an ensemble of artificial neural networks (EANNs) to interpolate this global ocean nitrate d15N database. For model results, see the related dataset: https://www.bco-dmo.org/dataset/768655

Data Files

File
d15N_OBS.csv (Comma Separated Values (.csv), 538.42 KB) MD5:c1fece117a19c239db49e8a29afaeec7 Primary data file for dataset ID 768627

More Information about this dataset

Funding Sources

Funding Source	Award Number
NSF Division of Ocean Sciences	OCE-1658392

Deployments

None available yet

Instruments

None available yet

Parameters

Date and time formats are described in python strftime() syntax.

Supplied Name	Supplied description	Supplied Units	Standard Name
reference	Reference(s)	unitless	reference_paper
nitrate_d15N	The N isotopic composition of nitrate	per mil	dN15_NO3
nitrate	nitrate	micromoles per kilogram (umol kg-1)	NO3
Longitude	Longitude in degrees East	degrees East	lon
Latitude	Latitude in degrees north	degrees North	lat
Depth	Depth	meters (m)	depth

Database

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Dataset: Global observed nitrate d15N

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Dataset: Global observed nitrate d15N

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