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Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?

Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?
Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?
This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Related publication: Ancin-Murguzur, F.J., Brown, A.G., Clarke, C. et al. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. J Paleolimnol 64, 59–69 (2020). https://doi.org/10.1007/s10933-020-00121-5 doi: 10.1007/s10933-020-00121-5
Holocene, Lacustrine, Paleolimnology, Partial least squares (PLS), Sediment organic matter
DataverseNO
Ancin-Murguzur, Francisco Javier
49594b7f-b4f7-41e3-8c52-f341ef8d041f
Brown, Antony G.
c51f9d3e-02b0-47da-a483-41c354e78fab
Clarke, Charlotte
68afb5e9-7966-4b54-9549-47c49e350f6c
Sjøgren, Per
90bd3dc5-55b4-4e1a-801b-884110b7311d
Svendsen, John Inge
9ce3f9aa-6eba-4134-be7d-08e1e350789f
Alsos, Inger Greve
88244b90-b66f-4271-9064-db0544dec568
Ancin-Murguzur, Francisco Javier
49594b7f-b4f7-41e3-8c52-f341ef8d041f
Brown, Antony G.
c51f9d3e-02b0-47da-a483-41c354e78fab
Clarke, Charlotte
68afb5e9-7966-4b54-9549-47c49e350f6c
Sjøgren, Per
90bd3dc5-55b4-4e1a-801b-884110b7311d
Svendsen, John Inge
9ce3f9aa-6eba-4134-be7d-08e1e350789f
Alsos, Inger Greve
88244b90-b66f-4271-9064-db0544dec568

Ancin-Murguzur, Francisco Javier, Svendsen, John Inge and Alsos, Inger Greve (2020) Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? DataverseNO doi:10.18710/ojc4th [Dataset]

Record type: Dataset

Abstract

This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? Related publication: Ancin-Murguzur, F.J., Brown, A.G., Clarke, C. et al. How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?. J Paleolimnol 64, 59–69 (2020). https://doi.org/10.1007/s10933-020-00121-5 doi: 10.1007/s10933-020-00121-5

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More information

Published date: 2020
Keywords: Holocene, Lacustrine, Paleolimnology, Partial least squares (PLS), Sediment organic matter

Identifiers

Local EPrints ID: 448902
URI: http://eprints.soton.ac.uk/id/eprint/448902
PURE UUID: 4ec1062a-e4c5-4fb2-9e6b-43e5347a206f
ORCID for Antony G. Brown: ORCID iD orcid.org/0000-0002-1990-4654

Catalogue record

Date deposited: 10 May 2021 16:32
Last modified: 01 Oct 2021 01:41

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Contributors

Creator: Francisco Javier Ancin-Murguzur
Contributor: Antony G. Brown ORCID iD
Contributor: Charlotte Clarke
Contributor: Per Sjøgren
Creator: John Inge Svendsen
Creator: Inger Greve Alsos

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