Published October 10, 2023 | Version 1
Dataset Open

Supplementary Data to: "Organic Phases in Bivalve (Arctica islandica) Shells: Their Bulk and Amino Acid Nitrogen Stable Isotope Compositions" in Geochemistry, Geophysics, Geosystems

  • 1. Institute of Geosciences, University of Mainz
  • 2. Globe Institute, Section for GeoGenetics, Faculty of Health and Medical Sciences, Copenhagen University
  • 3. Department of Chemistry, University of York

Description

This dataset contains the data generated for publication "Organic Phases in Bivalve (Arctica islandica) Shells: Their Bulk and Amino Acid Nitrogen Stable Isotope Compositions", including the following files:

Specimen_ID_shell_morphology_measurement: Description of locality of collection, shell ID, shell working ID and the shell morphology measurement which can be referred to Section 2.1 of the manuscript.

EA_IRMS_raw_error_propagate: This file contains data showing the m/z 28 signal intensities of all measurements and the error propagation that mentioned in Section 2.3 of the manuscript. It also includes the calculation of analytical accuracy and precision. 

Statistics: The file contains the summary of statistical analyses performed in this manuscript. Refer to Section 2.7 and 3.3.

Recovery: It contains the recovery of the total nitrogen contents or amino acid concentrations after different treatments and this was mentioned in Section 4.1 of the manucript.

Mass_balance: The computation procedure that showed in Section 3.4 and discussed in Section 4.3 can be traced in this file.

GC-C-IRMS_long_term_sd: The file shows the long-term precision of GC-C-IRMS computed from the mixed standard of amino acids 

BSIA_d15N: The file contains all the bulk d15N data that used in this manuscript.

CSIA_d15N: The file contains all the amino acid d15N data that used in this manuscript.

AA_Composition: The file shows AA percent data that used in this manuscript.


For details see main text of the manuscript.


 

Notes

This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 856488).

Files

Files (916.5 kB)

Name Size Download all
md5:5a8887dcfc4bf41181a5742a43e5c476
18.9 kB Download
md5:4bed9debadcd77d0a998acb94ae0ffa6
498.3 kB Download
md5:8ae2cd18536ca8fd56fd42a028e53a14
17.8 kB Download
md5:51ac006ea82a6039e804bc5ee6d133ce
157.9 kB Download
md5:787c0a528678eb28bb8991e45133475d
11.2 kB Download
md5:ed52a25dfabfeff3a7445be23f5b61c1
26.5 kB Download
md5:13f40fdea5b5ba6292bbdfc2059d2d28
18.1 kB Download
md5:d0ca74121f5c1136a5fbf1fb67b1448d
146.8 kB Download
md5:a37922f01f105d7e3b851e7a3446c029
21.0 kB Download