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Keywords = Pre-Pottery Neolithic

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21 pages, 7486 KiB  
Article
Archaeological Ceramic Fabric Attribution Through Material Characterisation—A Case-Study from Vale Pincel I (Sines, Portugal)
by Ana S. Saraiva, Mathilda L. Coutinho, Carlos Tavares da Silva, Joaquina Soares, Susana Duarte and João Pedro Veiga
Heritage 2025, 8(3), 84; https://doi.org/10.3390/heritage8030084 - 20 Feb 2025
Cited by 1 | Viewed by 946
Abstract
Defining groups of ceramic objects from archaeological excavations is a crucial and primary practice in the study of settlements, providing information related to ceramic technology, provenance, and interactions, among others. This process begins with a macroscopic analysis of each fragment, identifying common features [...] Read more.
Defining groups of ceramic objects from archaeological excavations is a crucial and primary practice in the study of settlements, providing information related to ceramic technology, provenance, and interactions, among others. This process begins with a macroscopic analysis of each fragment, identifying common features to define ceramic fabrics. Regularly, this procedure requires further analytical techniques to refine the attribution of each ceramic object to the corresponding fabric. The Early Neolithic site of Vale Pincel I in Sines, Portugal, dates to the second and third quarters of the sixth millennium BC. The earliest examples of ceramica impressa, described by patterned impressions on the surface (impresso pottery), in Portugal were found here. These artifacts are indicative of the Western Mediterranean Basin cycle pre-Cardial ceramic tradition. From the numerous Neolithic ceramic fragments discovered at Vale Pincel I, archaeologists identified 42 fragments, categorizing them into 2 main groups (A and B) through visual analysis, while a third group (C) remained unclassified. Group A, thick ceramic body with reddish hues and very friable surfaces; Group B, thin ceramic body with greyish to black shades and a cohesive appearance. With the aim to resolve the classification of group C ceramics, this study uses a multi-analytical methodology, combining Optical Microscopy (OM), Wavelength Dispersive X-Ray Fluorescence Spectroscopy (WD-XRF), and X-Ray Diffraction (XRD). Integrating the analytical data with previously obtained archaeological information, Group C fragments were attributed to Groups A and B, demonstrating the absence of a distinct third group in Vale Pincel I, highlighting the effectiveness of analytical techniques in ceramic studies, and contributing to a deeper understanding of Neolithic ceramic technology in the Western Mediterranean Basin. Full article
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23 pages, 6186 KiB  
Article
A Comparative Analysis of Machine Learning Algorithms for Identifying Cultural and Technological Groups in Archaeological Datasets through Clustering Analysis of Homogeneous Data
by Maurizio Troiano, Eugenio Nobile, Flavia Grignaffini, Fabio Mangini, Marco Mastrogiuseppe, Cecilia Conati Barbaro and Fabrizio Frezza
Electronics 2024, 13(14), 2752; https://doi.org/10.3390/electronics13142752 - 13 Jul 2024
Cited by 11 | Viewed by 2066
Abstract
Machine learning algorithms have revolutionized data analysis by uncovering hidden patterns and structures. Clustering algorithms play a crucial role in organizing data into coherent groups. We focused on K-Means, hierarchical, and Self-Organizing Map (SOM) clustering algorithms for analyzing homogeneous datasets based on archaeological [...] Read more.
Machine learning algorithms have revolutionized data analysis by uncovering hidden patterns and structures. Clustering algorithms play a crucial role in organizing data into coherent groups. We focused on K-Means, hierarchical, and Self-Organizing Map (SOM) clustering algorithms for analyzing homogeneous datasets based on archaeological finds from the middle phase of Pre-Pottery B Neolithic in Southern Levant (10,500–9500 cal B.P.). We aimed to assess the repeatability of these algorithms in identifying patterns using quantitative and qualitative evaluation criteria. Thorough experimentation and statistical analysis revealed the pros and cons of each algorithm, enabling us to determine their appropriateness for various clustering scenarios and data types. Preliminary results showed that traditional K-Means may not capture datasets’ intricate relationships and uncertainties. The hierarchical technique provided a more probabilistic approach, and SOM excelled at maintaining high-dimensional data structures. Our research provides valuable insights into balancing repeatability and interpretability for algorithm selection and allows professionals to identify ideal clustering solutions. Full article
(This article belongs to the Special Issue Data Retrieval and Data Mining)
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26 pages, 6156 KiB  
Article
A Comparative Analysis of the Bayesian Regularization and Levenberg–Marquardt Training Algorithms in Neural Networks for Small Datasets: A Metrics Prediction of Neolithic Laminar Artefacts
by Maurizio Troiano, Eugenio Nobile, Fabio Mangini, Marco Mastrogiuseppe, Cecilia Conati Barbaro and Fabrizio Frezza
Information 2024, 15(5), 270; https://doi.org/10.3390/info15050270 - 10 May 2024
Cited by 11 | Viewed by 2526
Abstract
This study aims to present a comparative analysis of the Bayesian regularization backpropagation and Levenberg–Marquardt training algorithms in neural networks for the metrics prediction of damaged archaeological artifacts, of which the state of conservation is often fragmented due to different reasons, such as [...] Read more.
This study aims to present a comparative analysis of the Bayesian regularization backpropagation and Levenberg–Marquardt training algorithms in neural networks for the metrics prediction of damaged archaeological artifacts, of which the state of conservation is often fragmented due to different reasons, such as ritual, use wear, or post-depositional processes. The archaeological artifacts, specifically laminar blanks (so-called blades), come from different sites located in the Southern Levant that belong to the Pre-Pottery B Neolithic (PPNB) (10,100/9500–400 cal B.P.). This paper shows the entire procedure of the analysis, from its normalization of the dataset to its comparative analysis and overfitting problem resolution. Full article
(This article belongs to the Special Issue Techniques and Data Analysis in Cultural Heritage)
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21 pages, 11579 KiB  
Article
The Unseen Record: Ninth–Seventh Millennia Cal. BP Wooden and Basketry Objects from Submerged Settlements off the Carmel Coast, Israel
by Danny Rosenberg, Ehud Galili and Dafna Langgut
Forests 2023, 14(12), 2373; https://doi.org/10.3390/f14122373 - 5 Dec 2023
Cited by 4 | Viewed by 2738
Abstract
Wood and basketry artefacts rarely survive in the prehistoric record since they require exceptional conditions for preservation; as a result, the current knowledge about when and how prehistoric societies used these basic organic raw materials is limited. Focusing on the southern Levant, we [...] Read more.
Wood and basketry artefacts rarely survive in the prehistoric record since they require exceptional conditions for preservation; as a result, the current knowledge about when and how prehistoric societies used these basic organic raw materials is limited. Focusing on the southern Levant, we discuss for the first time a collection of 16 late prehistoric organic artefacts found in underwater research conducted in the last forty years off the coast of the Carmel Ridge (Israel). The waterlogged finds, including bowls, shafts, a wedge, a trough, a pitchfork, logs, a mat, and a basket, were found at sites spanning from the Pre-Pottery Neolithic to Middle Chalcolithic periods (ninth–seventh millennia cal. BP), constituting an unprecedented record of prehistoric wood and other perishable materials, providing us with new information about raw material preferences and manufacturing technologies. Full article
(This article belongs to the Collection Historical Wood: Structure, Properties and Conservation)
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16 pages, 4483 KiB  
Article
Use of Thermally Assisted Hydrolysis and Methylation (THM-GC-MS) to Unravel Influence of Pottery Production and Post-Depositional Processes on the Molecular Composition of Organic Matter in Sherds from a Complex Coastal Settlement
by Joeri Kaal, María Guadalupe Castro González, Antonio Martínez Cortizas and María Pilar Prieto Martínez
Separations 2021, 8(9), 140; https://doi.org/10.3390/separations8090140 - 1 Sep 2021
Cited by 2 | Viewed by 2840
Abstract
Ceramic fragments from the Islet of Guidoiro Areoso (NW Spain), covering a wide range of cultural periods (Neolithic to Late Bronze Age), have been studied by color analysis, elemental analysis of carbon (C) and nitrogen (N), and molecular analysis (thermally assisted hydrolysis and [...] Read more.
Ceramic fragments from the Islet of Guidoiro Areoso (NW Spain), covering a wide range of cultural periods (Neolithic to Late Bronze Age), have been studied by color analysis, elemental analysis of carbon (C) and nitrogen (N), and molecular analysis (thermally assisted hydrolysis and methylation, THM-GC-MS), in order to identify the organic matter (OM) in the prehistoric pottery and reveal information on ceramic production techniques, food remains and post-depositional effects. Results showed that the strong marine influence (sherds recovered from coastal deposits) and microbial activity (recovery from waste deposits, “cuncheiros”) had a profound effect on C/N ratio and molecular composition (N-rich protein and chitin structures). Other organic ingredients originated from the material used for creating the ware (detected as pyrogenic OM) and possibly food remains (fatty acid fingerprints). Dark-colored ware was enriched in both pyrogenic OM from incomplete combustion and non-bacterial fatty acids. Fatty acid patterns could not be related to possible vessel use, and markers of aquatic resources were scarce, or absent. It is argued that THM-GC-MS of pottery fragments is useful for understanding how an archaeological deposit developed in time, what kinds of OM are present, and possibly to make a pre-selection of samples with high potential for more cost-demanding dietary molecular assessments. Full article
(This article belongs to the Special Issue Analytical Chromatography Applied to Archaeology)
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16 pages, 32033 KiB  
Article
Göbekli Tepe: A Brief Description of the Environmental Development in the Surroundings of the UNESCO World Heritage Site
by Daniel Knitter, Ricarda Braun, Lee Clare, Moritz Nykamp and Brigitta Schütt
Land 2019, 8(4), 72; https://doi.org/10.3390/land8040072 - 24 Apr 2019
Cited by 15 | Viewed by 14561
Abstract
This contribution provides a first characterization of the environmental development for the surroundings of the UNESCO World Heritage site of Göbekli Tepe. We base our analyses on a literature review that covers the environmental components of prevailing bedrock and soils, model- and proxy-based [...] Read more.
This contribution provides a first characterization of the environmental development for the surroundings of the UNESCO World Heritage site of Göbekli Tepe. We base our analyses on a literature review that covers the environmental components of prevailing bedrock and soils, model- and proxy-based climatic development, and vegetation. The spatio-temporal scales that are covered are mainly the Eastern Mediterranean region and the Late Quaternary—whereby special attention is given to available data from the close vicinity of Göbekli Tepe. Information on Late Quaternary geomorphodynamics is largely absent for the environs of Göbekli Tepe, we therefore included remote sensing data, different terrain modeling approaches and field-based geomorphological mapping to gain insights into past process dynamics. The findings indicate that the environmental conditions at Göbekli Tepe during its time of occupation differed significantly from today, showing denser vegetation and a wide spread sediment cover. Different hypotheses are developed that aim to guide future research on environmental changes and their variations during the Late Pleistocene and Holocene. These activities are crucial for a more profound understanding of the environment of the site, its potential perception by humans and therefore for the development of narratives on their landscape creation motives. Full article
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