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TXRF and TXRF-XANES data for characterization of unique aerosol pollution episodes in urban areas

<p>The dataset contains the raw data for elemental composition and copper/bromine speciation determined in size-fractionated aerosol particles sampled by a May-type cascade impactor.&nbsp;&nbsp;</p> <p>These data are related to the journal article&nbsp;<strong>Characterization of unique aerosol pollution episodes in urban areas using TXRF and TXRF-XANES&nbsp;</strong>by Otto Cz&ouml;mp&ouml;ly, Endre B&ouml;rcs&ouml;k, Veronika Groma, Simone Pollastri and Janos Osan, published in&nbsp;Atmospheric Pollution Research Volume 12, Issue 11, November 2021, 101214.&nbsp;<a href="https://doi.org/10.1016/j.apr.2021.101214">https://doi.org/10.1016/j.apr.2021.101214</a></p> <p>The elemental composition data&nbsp;were produced by total-reflection X-ray Spectrometry (TXRF) at Centre for Energy Research, Budapest, Hungary.&nbsp;</p> <p>The file &quot;TXRF.zip&quot; contains raw spectra as &quot;*.spe&quot;, fitting results as &quot;*.asr&quot;, calibration file &quot;aer_mo.cal&quot; and calculated elemental masses along the 20-mm stripe samples as &quot;*.apr&quot;, all as text files in AXIL/QXAS format.</p> <p>The copper and bromine speciation data were produced by X-ray absorption near-edge structure (XANES) recorded in the TXRF detection mode&nbsp;at the XRF beamline of Elettra Sincrotrone Trieste, Italy.</p> <p>The file &quot;XANES.zip&quot; contains average XANES spectra of several energy scans for each sample as &quot;*.xmu&quot; and linear combination fitting results as &quot;*.lcf&quot;, all as text files in Athena/Ifeffit format.</p> <p>The files are grouped in folders related to&nbsp;aerosol particles collected during the five pollution episodes (A-E) and near pollution sources as presented in the publication.&nbsp;The digit following the sample number denotes the impactor stage number (3-9), numbered from large&nbsp;(4.5-8.9 um) to small&nbsp;(70-180 nm) particle fractions.&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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