Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy
This dataset comprises an image library of 282 respirable silica particles. The particles were identified in samples of respirable coal mine dust (RCMD) collected in numerous US underground mines, and samples of lab-generated respirable dust that were created using the primary dust source materials...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923007412 |
| _version_ | 1827616146989252608 |
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| author | Çiğdem Keleş Emily Sarver |
| author_facet | Çiğdem Keleş Emily Sarver |
| author_sort | Çiğdem Keleş |
| collection | DOAJ |
| description | This dataset comprises an image library of 282 respirable silica particles. The particles were identified in samples of respirable coal mine dust (RCMD) collected in numerous US underground mines, and samples of lab-generated respirable dust that were created using the primary dust source materials (e.g., raw coal and rock) obtained from those mines. (A limited number of particles were also identified in samples generated from silica-containing reference materials.) Silica particle identification was done by scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX), and then each particle was imaged and analyzed at both low (5 kV) and high (20 kV) accelerating voltage. SEM micrographs were captured at high magnification (i.e., 5000-20,000 ×) and overlaid with elemental maps to visually indicate relative Si and Al content; spectra were also collected to determine Si and Al % in each particle. This dataset can inform the understanding of real respirable silica particles in coal mine environments, which may differ from idealized (i.e., pure, independent) silica particles. The dataset therefore provides valuable context for the design and interpretation of research related to: respirable silica exposure studies, sample analysis and monitoring techniques, or dust control. |
| first_indexed | 2024-03-09T09:22:01Z |
| format | Article |
| id | doaj.art-499ca2a5581147d6b9af9c74b1198ab4 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-09T09:22:01Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-499ca2a5581147d6b9af9c74b1198ab42023-12-02T06:59:57ZengElsevierData in Brief2352-34092023-12-0151109656Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopyÇiğdem Keleş0Emily Sarver1Department of Mining and Minerals Engineering, Virginia Tech, Blacksburg, VA 24061, USACorresponding author.; Department of Mining and Minerals Engineering, Virginia Tech, Blacksburg, VA 24061, USAThis dataset comprises an image library of 282 respirable silica particles. The particles were identified in samples of respirable coal mine dust (RCMD) collected in numerous US underground mines, and samples of lab-generated respirable dust that were created using the primary dust source materials (e.g., raw coal and rock) obtained from those mines. (A limited number of particles were also identified in samples generated from silica-containing reference materials.) Silica particle identification was done by scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM-EDX), and then each particle was imaged and analyzed at both low (5 kV) and high (20 kV) accelerating voltage. SEM micrographs were captured at high magnification (i.e., 5000-20,000 ×) and overlaid with elemental maps to visually indicate relative Si and Al content; spectra were also collected to determine Si and Al % in each particle. This dataset can inform the understanding of real respirable silica particles in coal mine environments, which may differ from idealized (i.e., pure, independent) silica particles. The dataset therefore provides valuable context for the design and interpretation of research related to: respirable silica exposure studies, sample analysis and monitoring techniques, or dust control.http://www.sciencedirect.com/science/article/pii/S2352340923007412Respirable crystalline silicaOccupational healthSilicosisCoal workers pneumoconiosis, SEM-EDX |
| spellingShingle | Çiğdem Keleş Emily Sarver Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy Data in Brief Respirable crystalline silica Occupational health Silicosis Coal workers pneumoconiosis, SEM-EDX |
| title | Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy |
| title_full | Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy |
| title_fullStr | Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy |
| title_full_unstemmed | Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy |
| title_short | Respirable silica particles in coal mine dust: An image library dataset collected using scanning electron microscopy with energy dispersive X-ray spectroscopy |
| title_sort | respirable silica particles in coal mine dust an image library dataset collected using scanning electron microscopy with energy dispersive x ray spectroscopy |
| topic | Respirable crystalline silica Occupational health Silicosis Coal workers pneumoconiosis, SEM-EDX |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923007412 |
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