Calibrated high-resolution XRF core-scanning data of Holocene lake sediments from Lake Sidi Ali, Middle Atlas Morocco
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| Main Authors: | , , , , , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2023
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| _version_ | 1867168222819647488 |
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| author | Schmidt, Johannes Tjallingii, Rik Schneider, Birgit Benkaddour, Abdelfattah Mikdad, Abdeslam Pichat, Sylvain Fletcher, William J Mischke, Steffen Zielhofer, Christoph |
| author_facet | Schmidt, Johannes Tjallingii, Rik Schneider, Birgit Benkaddour, Abdelfattah Mikdad, Abdeslam Pichat, Sylvain Fletcher, William J Mischke, Steffen Zielhofer, Christoph |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The North African desert margin is considered one of the areas most sensitive to future climate changes. Improved knowledge about Holocene climatic variability and environmental responses on millennial to centennial scale will help to refine scenarios related to future climate changes. This data set presents calibrated XRF core scanning data (Ca, Sr, Fe, Mn, S, K, Ti) of a ~20 m long Holocene lake sediment sequence from Lake Sidi Ali located in the Middle Atlas, Morocco. The ITRAX core scanner measurements were obtained every 1 mm and calibrated with depth equal quantitative Spectro Xepos XRF data (see. Schmidt et al. 2023, doi:10.1594/PANGAEA.960365) using the multivariate log-ratio calibration model of Weltje et al. 2015 (doi:10.1007/978-94-017-9849-5_21). According to the 210Pb and pollen-based 14C chronology, the calibrated XRF scanning data have a c. annual temporal resolution. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_960342 |
| institution | PANGAEA |
| language | en |
| publishDate | 2023 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Calibrated high-resolution XRF core-scanning data of Holocene lake sediments from Lake Sidi Ali, Middle Atlas Morocco Schmidt, Johannes Tjallingii, Rik Schneider, Birgit Benkaddour, Abdelfattah Mikdad, Abdeslam Pichat, Sylvain Fletcher, William J Mischke, Steffen Zielhofer, Christoph Age model; Calcium; DEPTH, sediment/rock; Holocene; Iron; Itrax; Lake_Sidi_Ali_2012; Lake sediment; Manganese; Middle Atlas, Morocco; Palaeolimnology; Piston corer (ITRAX); Potassium; Silicon; Spectro Xepos XRF; Strontium; Sulfur; Titanium; Western Mediterranean; Xelerate software; X-ray fluorescence spectrometry (XRF), Spectro Xepos; followed by multivariate log-ratio calibration according to Weltje et al. (2015); XRF core scanner data; Years The North African desert margin is considered one of the areas most sensitive to future climate changes. Improved knowledge about Holocene climatic variability and environmental responses on millennial to centennial scale will help to refine scenarios related to future climate changes. This data set presents calibrated XRF core scanning data (Ca, Sr, Fe, Mn, S, K, Ti) of a ~20 m long Holocene lake sediment sequence from Lake Sidi Ali located in the Middle Atlas, Morocco. The ITRAX core scanner measurements were obtained every 1 mm and calibrated with depth equal quantitative Spectro Xepos XRF data (see. Schmidt et al. 2023, doi:10.1594/PANGAEA.960365) using the multivariate log-ratio calibration model of Weltje et al. 2015 (doi:10.1007/978-94-017-9849-5_21). According to the 210Pb and pollen-based 14C chronology, the calibrated XRF scanning data have a c. annual temporal resolution. |
| title | Calibrated high-resolution XRF core-scanning data of Holocene lake sediments from Lake Sidi Ali, Middle Atlas Morocco |
| topic | Age model; Calcium; DEPTH, sediment/rock; Holocene; Iron; Itrax; Lake_Sidi_Ali_2012; Lake sediment; Manganese; Middle Atlas, Morocco; Palaeolimnology; Piston corer (ITRAX); Potassium; Silicon; Spectro Xepos XRF; Strontium; Sulfur; Titanium; Western Mediterranean; Xelerate software; X-ray fluorescence spectrometry (XRF), Spectro Xepos; followed by multivariate log-ratio calibration according to Weltje et al. (2015); XRF core scanner data; Years |
| url | https://doi.org/10.1594/PANGAEA.960342 |