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Data Set ID: 
NSIDC-0635

Ultra-High Resolution LA-ICP-MS Results: DO-21 Rapid Warming Event, Version 1

This data set contains the results of Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) performed on an archive of the GISP2 ice core containing the rapid climate warming of Dansgaard-Oeschger Event 21.

Geographic Coverage

Parameter(s):
  • Ice Core Records > Calcium
  • Ice Core Records > Iron
  • Ice Core Records > Potassium
  • Ice Core Records > Sodium
Spatial Coverage:

  • N: -76.2, S: -76.2, E: -38.5, W: -38.5
Spatial Resolution: Not Specified
Temporal Coverage:
  • 6 April 2015 to 24 April 2015
Temporal Resolution: Not specified
Data Format(s):
  • Microsoft Excel
Platform(s) Laboratory
Sensor(s): LA-ICP-MS
Version: V1
Data Contributor(s): Skylar Haines, Paul Mayewski, Andrei Kurbatov
Metadata XML: View Metadata Record
Please contact the data provider for the correct Data Citation for this data set.

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Detailed Data Description

This data set contains the results of Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICP-MS) performed on an archive of the GISP2 ice core containing the rapid climate warming of Dansgaard-Oeschger Event 21. The ice core was 6.0 meters in length, with a total of 4.24 m sampled at 121 µm resolution. The data are total concentrations of sodium (Na), calcium (Ca), iron (Fe), and potassium (K) given in counts per second (cps) and parts per billion (ppb).

Format

Data are in Microsoft Excel (.xlsx) format.

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File and Directory Structure

Data are available on the FTP site in the ftp://sidads.colorado.edu/pub/DATASETS/AGDC/nsidc0635_mayewski directory. Within this directory, there is one file: GISP2_DO21_rawdata.xlsx. The worksheet contains ten columns. See Table 1 for a description of the data in each column.

Table 1. Data Field Descriptions
Data Field Description
Time (sec) Number of seconds from the start of the process when the sample was collected The ICP-MS collects one sample every 0.25 seconds
Columns 2-9 There are two columns for each element: one with the number of counts per second in each sample and one with the calculated laser ablation ppb
Depth Depth along the ice core where the sample was collected
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File Size

The data file is 28.9 MB.

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Spatial Coverage

The spatial coverage of the original GISP2 ice core is 76.2° N, 38.5° W.

Spatial Resolution

The sampled length of the ice core is 4.24 at 121 µm resolution.

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Temporal Coverage

Data were collected 6 April 2015 to 24 April 2015
Paleo Temporal Coverage: ~83-85 ka BP

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Parameter or Variable

Sodium (Na) (cps) (ppb)
Calcium (Ca) (cps) (ppb)
Lead (Fe) (cps) (ppb)
Potassium (K) (cps) (ppb)

Sample Data Record

Figure 1 is a sample only and does not represent all of the columns in the data file.

Sensor Locations
Figure 1. Sample Data
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Software and Tools

The data can be accessed using Microsoft Excel.

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Data Acquisition and Processing

Data Acquisition Methods

The GISP2 ice archive sections used in this study are ~ 3 x 3 cm rods. Prior to analysis, the surface of the ice is scraped. The sample is then transferred into the Sayre CellTM for analysis.

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Sensor or Instrument Description

The instrument used is the W.M. Keck Laser Ice Core Facility's LA-ICP- MS system for the ultra-high resolution glaciochemical analyses. Components include a Thermo Element 2 ICP-MS coupled to a New Wave UP-213 laser system and the Sayre CellTM, a cryocell chamber designed to seal a 1 m ice core from the surrounding air, while maintaining a uniform temperature of ~15° C and a 121 µm sampling resolution. (Sneed et al.)

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References and Related Publications

Sneed, S. B, et al. 2015. New LA-ICP-MS cryocell and calibration technique for sub- millimeter analysis of ice core. Journal of Glaciology 61(226): 233-242. doi: 10.3189/2015JoG14J139

Contacts and Acknowledgments

Skylar Haines
University of Maine
Orono, ME 04469

Paul Mayewski
Climate Change Institute 
University of Maine
Orono, ME 04469

Andrei Kurbatov
Climate Change Institute 
University of Maine
Orono, ME 04469

Acknowledgments: 

This research was supported by NSF Division of Polar Programs (PLR) Grant Numbers 1042883 and 1203640.

Document Information

DOCUMENT CREATION DATE

9 October 2015

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