XRD raw data of geological chert of the Algarve basin

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Neto Belmiro, Joana Filipa, 2026, "XRD raw data of geological chert of the Algarve basin", https://doi.org/10.57979/SDLM4E, POLEN DataHub, V1, UNF:6:vjjgQrl2Ilh/1+qEFKI0aw== [fileUNF]
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Description
This study utilised X-ray diffraction (XRD) to determine the mineral composition of 23 geological powdered samples of chert from the Algarve region. Samples were analysed using a Bruker AXS D8 Discover XRD with the Da Vinci design, equipped with a Cu Kα source operating at 40 kV and 40 mA, and a Lynxeye 1D detector. Scans were conducted from 3° to 75° 2θ, with a 0.05° 2θ step, at the HERCULES Laboratory, University of Évora. Preliminary phase identification was performed using Diffrac.Suite™ (Bruker) and further refined with Profex (version 5.2.9) after converting raw files using PowDll Converter. (2026-04-29)
Subject Humanities - History and Archaeology - Archaeology
Keyword Angle, Observed, Calculated, Background, Quartz, Calcite, Dolomite, ESD
Related Publication Is Supplement To: Belmiro, J. (2025). The exploitation of siliceous raw materials during the Upper Paleolithic in the southwest of the Iberian Peninsula.handle: 10400.1/28422
Notes DATA STRUCTURE: Observed angle and measurement results are organised in CSV individual files. Each CSV file represents the results of a single sample, identified in the file name, following the identifier used in the database, accessed online at https://lusolit.icarehb.com/list.php and published by Belmiro et al. 2023. These files are used to identify minerals present within the phases and produce data visualisation and graphs. The percentage of mineral content within each sample is organised in a single CSV file. This CSV file contains results for all samples, organised by the Variable ID, which contains the sample identifier as used above. This CSV file is used as supporting relative quantitative information for the identified minerals, and to add relative quantification to the data visualisation and graphs.
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Mineral_percentage.tab
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4 Variables, 41 Observations UNF:6:XxyNRQu3Z67JnjnFpvWU2w==
SP10_xrd.tab
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8 Variables, 1418 Observations UNF:6:DqJ+GvZAnThWHgC+KOEsFg==
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10 Variables, 1418 Observations UNF:6:f+JOxkt5sCFnNw6GWu4L9Q==
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8 Variables, 1390 Observations UNF:6:X6NZqwP7kV7DWGtYF3fHpw==
SP18_xrd.tab
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10 Variables, 1418 Observations UNF:6:nNlS1W7CiBQsbUJpnMF9jw==
SP21_xrd.tab
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6 Variables, 1418 Observations UNF:6:3pZ5zCVgiEaHaJL0HIY+/g==
SP28_xrd.tab
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8 Variables, 1418 Observations UNF:6:eNYCW2/rRdnTYV/gghYXsA==
SP30_xrd.tab
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8 Variables, 1418 Observations UNF:6:h2QqYg7h6QGwiylPTeXlzQ==
SP33_xrd.tab
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8 Variables, 1418 Observations UNF:6:iXuAWBhViAO8+aqB8NnCPA==
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6 Variables, 1418 Observations UNF:6:VL7JmxBRfV9F/00WoW+FcA==
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