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Electron microscopy of particles collected by different techniques from field measurements in the Moroccan Sahara during FRAGMENT 2019

Panta, Agnesh; Kandler, Konrad; Alastuey, Andres; González-Flórez, Cristina; González-Romero, Adolfo; Klose, Martina ORCID iD icon 1; Querol, Xavier; Reche, Cristina; Yus-Díez, Jesús; Pérez García-Pando, Carlos
1 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

An intensive field campaign between 4-30 September 2019 was conducted at a major source region on the edge of the Saharan desert in Morocco (29.83 °N 5.87 °W) in the context of the FRontiers in dust minerAloGical coMposition and its Effects upoN climaTe (FRAGMENT) project. Samples were collected with three different sampling techniques, namely: flat-plate sampler (FPS), free-wing impactor (FWI), and a micro-orifice uniform deposit impactor (MOUDI). Substrates in the MOUDI and FWI were collected two times a day with a typical sampling duration of a few minutes to avoid overloading the substrate for individual particle analysis. For the flat-plate sampler, the average exposure time was half a day. Here we present dataset of the elemental composition and morphology of more than 300,000 freshly emitted individual particles by performing offline analysis in the laboratory using Scanning Electron Microscopy (SEM) coupled with Energy-Dispersive X-ray Spectrometry (EDX).


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Originalveröffentlichung
DOI: 10.5281/zenodo.7649034
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Troposphärenforschung (IMKTRO)
Publikationstyp Forschungsdaten
Publikationsjahr 2023
Identifikator KITopen-ID: 1000167726
HGF-Programm 12.11.32 (POF IV, LK 01) Advancing atmospheric and Earth system models
Weitere HGF-Programme 12.11.31 (POF IV, LK 01) New observational systems and cross platform integration
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation HGF, HGF IVF2016 TALENT, VH-NG-1533
Externe Relationen Abstract/Volltext
Schlagwörter SEM-EDX; single particle analysis; Mineral dust
Art der Forschungsdaten Dataset
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