READ ME File For 'Dust sources in Westernmost Asia have a different geochemical fingerprint to those in the Sahara - Supplementary Table'

Dataset DOI: 10.5258/SOTON/D2873

Date that the file was created: August, 2021

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GENERAL INFORMATION
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ReadMe Author: Terezia Kunkelova, University of Southampton

Date of data collection: March 2006 to February 2010

Information about geographic location of data collection: Westernmost Asia

Related projects:


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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:

Recommended citation for the data:

This dataset supports the publication:
AUTHORS: Kunkelova, T., Crocker, A.J., Jewell, A.M., Breeze, P.S., Drake, N.A., Cooper, M.J., Milton, J.A., Hennen, M., Shahgedanova, M., Petraglia, M.D., Wilson, P.A.
TITLE: Dust sources in Westernmost Asia have a different geochemical fingerprint to those in the Sahara
JOURNAL: Quaternary Science Reviews
PAPER DOI IF KNOWN: https://doi.org/10.1016/j.quascirev.2022.107717

Links to other publicly accessible locations of the data:

Links/relationships to ancillary or related data sets: 


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DATA & FILE OVERVIEW
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This dataset contains:

Normalized annual and seasonal data of dust source activation frequencies (DSAF, %). Longitude and latitude are also provided.

Relationship between files, if important for context:  N/A

Additional related data collected that was not included in the current data package: N/A

If data was derived from another source, list source: Hennen, M., 2017. Characterisation of Mineral Dust Emission in the Middle East Using Remote Sensing Techniques. University of Reading.

If there are there multiple versions of the dataset, list the file updated, when and why update was made:



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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data: <Include links or references to publications or other documentation containing experimental design or protocols used in data collection>

Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>

Software- or Instrument-specific information needed to interpret the data, including software and hardware version numbers:

Standards and calibration information, if appropriate:

Environmental/experimental conditions:

Describe any quality-assurance procedures performed on the data:

People involved with sample collection, processing, analysis and/or submission:


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DATA-SPECIFIC INFORMATION <Create sections for each datafile or set, as appropriate>
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Number of variables:

Number of cases/rows: 

Variable list, defining any abbreviations, units of measure, codes or symbols used:
   
Missing data codes:

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