Archaeological Datasets Research Articles

Generating implicit object fragment datasets for machine learning

One of the primary challenges inherent in utilizing deep learning models is the scarcity and accessibility hurdles associated with acquiring datasets of sufficient size to facilitate effective training of these networks. This is particularly significant in object detection, shape completion, and fracture assembly. Instead of scanning a large number of real-world fragments, it is possible to generate massive datasets with synthetic pieces. However, realistic fragmentation is computationally intensive in the preparation (e.g., pre-factured models) and generation. Otherwise, simpler algorithms such as Voronoi diagrams provide faster processing speeds at the expense of compromising realism. In this context, it is required to balance computational efficiency and realism. This paper introduces a GPU-based framework for the massive generation of voxelized fragments derived from high-resolution 3D models, specifically prepared for their utilization as training sets for machine learning models. This rapid pipeline enables controlling how many pieces are produced, their dispersion and the appearance of subtle effects such as erosion. We have tested our pipeline with an archaeological dataset, producing more than 1M fragmented pieces from 1,052 Iberian vessels (). Although this work primarily intends to provide pieces as implicit data represented by voxels, triangle meshes and point clouds can also be inferred from the initial implicit representation. To underscore the unparalleled benefits of CPU and GPU acceleration in generating vast datasets, we compared against a realistic fragment generator that highlights the potential of our approach, both in terms of applicability and processing time. We also demonstrate the synergies between our pipeline and realistic simulators, which frequently cannot select the number and size of resulting pieces. To this end, a deep learning model was trained over realistic fragments and our dataset, showcasing similar results.

A Comparative Analysis of Machine Learning Algorithms for Identifying Cultural and Technological Groups in Archaeological Datasets through Clustering Analysis of Homogeneous Data

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.

Chapter 7. Mapping land use with integrated environmental archaeological datasets

AbstractArchaeologists have developed tools to reconstruct the locations of farming and animal herding using ecological and digital modeling of ancient landscapes. The determination of where on a landscape farming and herding took place, however, can remain elusive in environments with evidence for substantial geomorphological and/or ecological change since the period of occupation. Archaeobotanical and geoarchaeological evidence from the site of Gordion, in central Anatolia, indicates substantial landscape change over the last 4000 years, including deforestation, overgrazing, erosion, and alluviation. These have been inferred to be the result of past agricultural practices, but no firm evidence has pointed to specific locations (geographic and temporal) where ancient farming and herding may have caused these changes. Integrating extant archaeobotanical, zooarchaeological, and geoarchaeological evidence with new isotopic data provides a more detailed reconstruction of the sequence of agricultural practices that shaped the present landscape and ecology of the region, offering a model for future archaeological research within substantially transformed landscapes.

A network of designs: studying Early Lapita exchange networks in the Bismarck Archipelago, Papua New Guinea through Social Network Analysis

ABSTRACTThe application of Social Network Analysis to the study of archaeological networks has become increasingly common around the world, with a proven track record of processing large, complex, spatial and temporal archaeological datasets. This study builds upon previous network‐based analyses of interaction between communities of the Lapita Cultural Complex, with a specific focus on the Early Period (c.3300/3200–3100 calBP) in the Bismarck Archipelago, Papua New Guinea. Employing motif inventories from 13 Early Lapita Period assemblages, motif similarity and Centrality Analysis are undertaken, with the results compared to data from portable material culture, particularly obsidian and pottery, to further define the networks of interaction that linked communities during this period. We conclude that motif similarities and Centrality Analysis scores show good agreement with patterns of interactions established from the analysis of other types of portable material culture, which together support the existence of northern west to east and southern obsidian distribution networks, comprised of communities that employed unique types of interaction tailored towards their own cultural and societal circumstances and needs. Finally, we further conclude that these two networks may have arisen during the initial formation of the Lapita Cultural Complex, as populations established new social connections with other settler communities and incumbent populations across the region to survive in a new and foreign environment.

Managing Data from Maritime Archaeology Investigations: AIR at Gribshunden

Abstract Maritime archaeology excavations, even in a more complex environment, have the same objectives and requirements as terrestrial ones: documenting digging operations to analyze data in the best way, interpreting it, and producing new knowledge for the benefit of multiple communities. 3D documentation and management methodologies have spread widely among practitioners; however, 3D comprehensive tools for scholarly publications still require development. This article contributes to the discussion on archaeological data management and its need to encompass every aspect of the archaeological practice (Kansa & Kansa 2021). It presents the evolution of the documentation and data management strategies employed within the multidisciplinary project at the shipwreck site of Gribshunden (Rönnby 2021), profoundly conditioned by the project’s goals to optimize collection and analysis of its multidisciplinary nature. The use of the Archaeological Interactive Report (AIR) represents the most suitable solution for achieving such goals, as it addresses the issue of scattered data and allows for maintaining the connection between archaeological datasets and their interpretation and publication, which is crucial for performing archaeological Digital Data Curation (Dallas 2015a).

Developing millennial tree-ring chronology for Turku (Åbo) and comparing palaeoclimaticsignals inferred from archaeological, subfossil and living Pinus sylvestris datain Southwest Finland

Archaeological and living tree data were used to construct tree-ring chronologies over the medieval (AD 1183–1430) and recent (AD 1812–2020) periods in Turku, which is historically an important population centre in Southwest Finland and the country. Comparisons between the two tree-ring assemblages, and between the previously built chronologies from the Åland (historical timber) and Tavastia (lacustrine subfossils and living trees) sites, provided ways of understanding the growth patterns and their linkages to climatic, environmental, and edaphic factors. Tree growth in and around Turku was affected by warm-season precipitation and winter temperature. Similar relationships were previously evident also in the Åland tree rings, whereas the data from a wetter Tavastia site did not exhibit similar precipitation signal. The site conditions influence also the correlations which are higher between Turku and Åland than between Turku and Tavastia chronologies. Construction of long continuous chronology is impaired by human-related activities, the Great Fire of Turku in 1827 and logging, which have diminished the availability of dead and living-tree materials, respectively. These conditions lead to hardships of filling the gap between the medieval and recent periods and updating the archaeological datasets with compatible living-tree data, which are both demonstrated by our results.

Isotopic Evidence for Mobility in the Copper and Bronze Age Cemetery of Humanejos (Parla, Madrid): a Diachronic Approach Using Biological and Archaeological Variables

Over the last several decades, the application of aDNA and strontium isotope analyses on archaeologically recovered human remains has provided new avenues for the investigation of mobility in past societies. Data on human mobility can be valuable in the reconstruction of prehistoric residential patterns and kinship systems, which are at the center of human social organization and vary across time and space. In this paper, we aim to contribute to our understanding of mobility, residence, and kinship patterns in late Prehistoric Iberia (c. 3300–1400BC) by providing new strontium data on 44 individuals from the site of Humanejos (Parla, Madrid). The study presented here is multi-proxy and looks at these new data by interweaving biological, chronological, and archaeological information. This analysis found that 7/44 individuals buried at Humanejos could be identified as non-local to the necropolis. Although more men (n = 5) than women (n = 2) were found in the non-local category, and more non-local individuals were identified in the pre-Bell Beaker (n = 5) than in Bell Beaker (n = 1) or Bronze Age (n = 1), we find no statistically significant differences concerning sex or time period. This contrasts with other archaeological datasets for late prehistoric Europe which suggest higher female mobility, female exogamy, and male-centered residential patterns were common. At Humanejos, we have also identified one non-local female whose exceptional Beaker grave goods suggest she was an individual of special status, leading to additional questions about the relationships between gender, mobility, and social position in this region and time period.

Late pre-Hispanic fog oasis settlements and long-term human occupation on the Peruvian central coast from satellite imagery

Fog oases (lomas) present pockets of verdant vegetation within the arid coastal desert of Andean South America and archaeological excavation within some of the oases has revealed a long history of human exploitation of these landscapes. Yet lomas settlements are under-represented in archaeological datasets due to their tendency to be located in remote inter-valley areas. Here, the authors employ satellite imagery survey to map the locations of anthropogenic surface features along the central Peruvian coast. They observe two categories of archaeological features, large corrals and clustered structures, and document a concentration of settlement features within lomas landscapes that suggests a pre-Hispanic preference for both short- and long-term occupation of these verdant oases.

Large-scale, collaborative imagery survey in archaeology: the Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA)

Imagery-based survey is capable of producing archaeological datasets that complement those collected through field-based survey methods, widening the scope of analysis beyond regions. The Geospatial Platform for Andean Culture, History and Archaeology (GeoPACHA) enables systematic registry of imagery survey data through a ‘federated’ approach. Using GeoPACHA, teams pursue problem-specific research questions through a common data schema and interface that allows for inter-project comparisons, analyses and syntheses. The authors present an overview of the platform's rationale and functionality, as well as a summary of results from the first survey campaign, which was carried out by six projects distributed across the central Andes, five of which are represented here.

Understanding climate resilience in Scandinavia during the Neolithic and Early Bronze Age

Mid and late-Holocene climate shifts are considered to have profoundly shaped demographic developments and adaptive responses of communities globally. Yet their onset, duration, and impact on Neolithic and Early Nordic Bronze Age communities in the high-latitude ranges of southern and north-western Scandinavia remain a major research gap. Here, we built on an emerging body of archaeological and paleoclimate data, encompassing 20,908 anthropogenic 14C dates and 49 climate records from the Holocene. Additionally, we gathered and correlated a new archaeological dataset of 3649 houses from southern Scandinavia and southern Norway. In this study, we utilised 6268 reliable 14C dates and 2519 dwellings to generate time series and socio-economic trends from ∼4100 to 1100 BCE.Our study revealed three key findings: (1) A distinct lateral zonation, with variations in the duration and timing of the Holocene Thermal Maximum (∼7050–2050 BCE). In Southern Scandinavia, a warmer climate may have facilitated the spread of crop cultivation (3820–3790 BCE), coinciding with significant population growth. Neolithic communities settled in permanent two-aisled houses 90–160 years later (3700–3660 BCE). (2) The 2250 BCE (4.2 ka BP) cooling trend marked the beginning of a climate regime shift with varying duration and timing (∼3450–1450 BCE). This period coincided with demographic growth, migration, crop cultivation diversity, and the development of houses with crop storage facilities (2290–2215 BCE). (3) Severe abrupt cooling periods (∼1850–1450 BCE) corresponded to short-term demographic decline including disruptions in trade networks with continental Europe. However, repopulation and redistribution of wealth (∼1450 BCE), along with the development of stable three-aisled houses (1475–1450 BCE), underscore the resilience of food-producing economies in mitigating environmental disturbances.

Entropology: an Information-Theoretic Approach to Understanding Archaeological Data

The main objective of this paper is to develop quantitative measures for describing the diversity, homogeneity, and similarity of archaeological data. It presents new approaches to characterize the relationship between archaeological assemblages by utilizing entropy and its related attributes, primarily diversity, and by drawing inspiration from ecology. Our starting premise is that diachronic changes in our data provide a distorted reflection of social processes and that spatial differences in data indicate cultural distancing. To investigate this premise, we adopt a parsimonious approach for comparing assemblage profiles employing and comparing a range of (Hill) diversities, which enable us to exploit different aspects of the data. The modelling is tested on two seemingly large datasets: a Late Bronze Age Cretan dataset with circa 13,700 entries (compiled by PG); and a 4th millennium Western Tripolye dataset with circa 25,000 entries (compiled by AD). The contrast between the strongly geographically and culturally heterogeneous Bronze Age Crete and the strongly homogeneous Western Tripolye culture in the Southern Bug and Dnieper interfluve show the successes and limitations of our approach. Despite the seemingly large size of our datasets, these data highlight limitations that confine their utility to non-semantic analysis. This requires us to consider different ways of treating and aggregating assemblages, either as censuses or samples, contingent upon the degree of representativeness of the data. While our premise, that changes in data reflect societal changes, is supported, it is not definitively confirmed. Consequently, this paper also exemplifies the limitations of large archaeological datasets for such analyses.

Joined up Thinking: Aggregating archaeological datasets at an international scale

The archaeological research community was an early adopter of digital tools for data acquisition, organisation, analysis, and presentation of research results of individual projects. However, the provision of e-infrastructure and services for data sharing, discovery, access, and reuse has lagged behind. The ARIADNE Research Infrastructure has sought to address this situation. Developed with European funding, ARIADNE has created an e-infrastructure that enables data providers to register and provide access to their digital resources through the ARIADNE data portal, facilitating discovery, access, and research. ARIADNE has aggregated resources from over 45 data providers, spanning over 40 countries and 4 continents. The portal now provides online access to over 3.9 million research resources. It is based upon Linked Open Data technologies and is underpinned by a flexible and extensible architecture, enabling multiple combinations and presentations of the same underpinning data. We have been keen not to 'make a great heap' of all the data and, learning from previous data aggregation projects, we have defined a subset of the CIDOC CRM to be used as a strict ontology and paid close attention to data standards and controlled vocabularies to achieve a high degree of interoperability. This article discusses some of the challenges of large-scale data integration and describes the approaches adopted to ensure that the ARIADNE Knowledge Base is an effective tool for archaeological heritage management and research at a national and international level.

Preparing the Romanian National Archaeological Datasets for ARIADNE

The contribution of the Romanian National Institute of Heritage (NIH) to the ARIADNE catalogue consists of 22,298 cultural resources, 18,277 of which are archaeological sites and 4021 are fieldwork reports. The two types of data were extracted from the two repositories that INP manages: the National Archaeological Repertory and the Chronicle of Archaeological Research. In Romania, the legislation regarding the protection of archaeological heritage establishes the National Archaeological Repertory as the means of managing the scientific data relating to the archaeological heritage, and of mapping archaeological sites as well as the threats to them. In addition, the same legislation stipulates that preliminary excavation reports should be published in a volume edited by the National Archaeology Commission, if the research was financed by public funds. As a result, for better dissemination, the reports are uploaded to a database. Both the Repertory and the Chronicle are accessible online through the INP management web portal. In order to fulfil the NIH's obligations within the ARIADNEplus project, several corrections and changes were made to the structures of both repositories (RAN and Chronicle) and data had to be updated. First of all, a photo upload module that illustrates both an archaeological site, perceived as a landscape, and its various components was developed. At the same time, the NIH team carried out a campaign to map the archaeological sites using coordinates in the WGS84 system, using various cartographic resources, such as topographic maps, aerial photographs and satellite images. The third activity consisted of creating a hierarchical list of archaeological site types and their components to support a more accurate description and retrieval of database records. Conversion of the RAN archaeological records to AO-Cat compliant RDF data was the fourth activity conducted by NIIH in order to include the RAN records in the ARIADNE Knowledge Base. Subsequently, a hierarchical list of the archaeological periods used in Romanian archaeology was developed, where every period is described by three main components: name, time interval and geographical area. This list has been converted to the PeriodO format and will be imported into the gazetteer.

Weapons of the frontier wars

Firearms were critical to the activities of the Queensland Native Mounted Police, a frontier force tasked with suppressing Aboriginal resistance in the colony of Queensland, Australia, between 1848 and 1929. Wider colonial processes meant that arming the Native Mounted Police was never straightforward, despite a dedicated program to standardise and update police weaponry from 1864 onwards. In this paper we use historical, archaeological and museum collections data to produce, for the first time, a definitive list of nine weapons and the ammunition known to have been issued to, and used by, the Native Mounted Police. In general, these weapons transitioned to ever more sophisticated and lethal breech-loading technology, and arms were quickly superseded, although older models were retained in use, resulting in detachments often being armed with an assortment of weaponry. This heterogeneity may have contributed to the use of different tactics by detachments in varying environmental zones. Although the identification of the weapons and ammunition outlined here has value for other contexts, the chief contribution of this research lies in its potential to provide an archaeological dataset to identify putative events of frontier conflict involving the Queensland Native Mounted Police.

The Role of Cities in the Early Medieval Economy

ABSTRACT This contribution explores the economic roles of cities in the early medieval economy, through the presentation of a range of archaeological datasets that can all be linked to urban production and/or consumption. The individual classes of evidence each highlight aspects of economic exchange that, when combined, help to flesh out a general model of the systems of exchange at work in post-Roman Iberia. These systems revolved around cities whose individual experiences varied according to local circumstances and whose participation in the wider trade networks also depended heavily on local conditions. As a supplement to the written sources of this period, the archaeological materials surveyed here contribute to an emerging picture of elite and non-elite economic activity in the sixth and seventh centuries. This in turn shapes a more nuanced understanding of the role played by cities in the transition from late Roman to post-Roman economic and political circumstances.

Feeding Anglo-Saxon England: a bioarchaeological dataset for the study of early medieval agriculture (Data paper)

The FeedSax project combined bioarchaeological data with evidence from settlement archaeology to investigate how, when and why the expansion of arable farming occurred between the 8th-13th centuries in England. It has generated and released a vast, multi-faceted archaeological dataset both to underpin its own published findings and to support further research.

Cluster analysis for the selection of potential discriminatory variables and the identification of subgroups in archaeometry

In this article, three variable selection methods based on Gaussian mixture models were compared to find a subset of variables that provided the “best” clustering. The use of an appropriate transformation for compositional data, whose geometric space is the Simplex, is emphasized. The comparison revealed the ability of the models to cluster data in multiple phases, showing to be more convenient to select the relevant variables than to perform an analysis based on 2D plots or by simultaneously including all the available variables in a multivariate analysis. Once the informative variables for the clustering were obtained, we used a method called Databionic Swarm (DBS). This method uses unsupervised machine learning, taking advantage of emergence and swarm intelligence applied to find natural chemical groups in the input data space. DBS can visualize high-dimensional distances in the projection through a 3D topographic map with hypsometric tints. The results were compared in terms of accuracy, both in the selection of the variables and in the classification, using a supervised accuracy index for clustering and two unsupervised indexes (the Heatmap and the Silhouette plot). The concepts and methods were illustrated by applying them to two published archaeological glass data sets. The first set consisted of 245 Romano-British glass vessels and the second set of 180 glass vessels from the 15th-17th century in Antwerp. In these applications, it was found that the methods for the selection of variables increased the accuracy of the classification compared to traditional methods.

Automatic Normalization of Temporal Expressions

Dates, periods and timespans are described in archaeological datasets using a number of different textual patterns for which myriad variations exist, rendering direct automated comparison difficult. The issue can occur even within records from the same dataset and is further compounded when attempting to integrate multilingual data – particularly where dates may be expressed in words rather than numbers. The same problem can be found in temporal metadata, whether manually entered or generated via Natural Language Processing (NLP) techniques from reports and grey literature. Resolving and normalizing dates and periods to internationally agreed standard formats enables efficient data integration, interchange, search, comparison and visualization. This paper reports on the design and implementation of a tool to normalize temporal expressions to a numerical time axis and reflects on key issues. Textual patterns for seven categories of temporal expression have been normalized: Ordinal named or numbered centuries; Year spans; Single year (with tolerance); Decades; Century spans; Single year with prefix; Named periods. The following languages are currently supported: Dutch, English, French, German, Italian, Norwegian, Spanish, Swedish, Welsh. Methods are described together with an (open source) normalization tool developed in Python and four applications of the method are discussed, together with limitations and future work. Results are presented from diverse data sets and languages. The input is a temporal text string and a language code (ISO639-1). The output is a tab delimited text file with start/end years (in ISO 8601 format), relative to Common Era (CE). The normalized outputs are provided as additional attributes along with the original text expression for consuming software to employ in end-user applications.

Perforations in Columbellidae shells: Using 3D models to differentiate anthropogenic piercing from natural perforations

Perforated shells are often used to study socially mediated behaviour in past hunter-gatherer groups. One of the key issues regarding empty shells from beaches or fossil outcrops is determining human agency in the accumulation and modification of an assemblage. Here we investigate anthropogenic mediation in Initial Upper Palaeolithic and Early Ahmarian assemblages of Columbella rustica at Ksâr ‘Akil (Lebanon). We compare perforations in the archaeological specimens with data from newly gathered Columbellidae modern death assemblages from Tenerife (Spain) using three-dimensional shell-thickness models as templates. This approach, using micro-CT scans of pristine shells to map robust and fragile zones on shell outer-surfaces, allows us to contextualise the two datasets within their natural morphology. Our results show that in natural death assemblages the vast majority of perforations occur in structurally weak zones, and their distribution can be explained by shell morphology in combination with predator activity and other post-mortem damage. In our archaeological dataset we found a higher frequency of perforations in more robust zones and a higher uniformity in their location, size and shape. This suggests human mediation in either the selection or manufacture process of C. rustica beads at Ksâr ‘Akil from as early as the Initial Upper Palaeolithic and throughout the Early Ahmarian. Standardisation in perforation shape, size and distribution have been argued to be indicative of formalised manufacture processes and our results are thus more congruent with intentional bead manufacture than the selection of naturally-holed specimens.

The Cataloging and Conservation of Digital Survey in Archaeology: A Photogrammetry Protocol in the Context of Digital Data Curation

The technological advancement of software and hardware and the lowering of the prices of instrumentation has made photogrammetry the preferred instrument for surveying activities in archaeological projects. Consequently, archaeological datasets have been enriched with 3D models of archaeological finds and structures. Each project has developed its work pipeline for raw data acquisition and the elaboration of models and their archiving and dissemination. In most cases, the pipeline is the result of empirical experimentation and is designed to act within the specific context of the project. To date, we still lack a shared method for a photogrammetric survey that derives from the specific design and techniques/contexts. This paper aims at proposing an approach for a shared 3D survey workflow for photogrammetry in archaeology. The general approach relies on the digital data curation framework for cultural heritage and encompasses several specialized tasks. We describe the general functions and processes and how they can be implemented in a practical workflow. As a proof of concept, we show how a preliminary release of the workflow has been applied in the context of the BeArchaeo project, for the acquisition, processing, export, modeling, archiving, and indexing of 3D models, resulting from photogrammetric surveys. A long-term aim is a methodological approach for different endeavors of cultural heritage.