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FIG. 8 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 8. — Taxonomic composition of the fish faunal assemblage from Studenica Monastery. Abbreviation: NISP, number of identified specimens.
FIG. 9 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 9. — Selected carp (Cyprinus carpio Linnaeus, 1758) remains with indicated cut and chop marks, from the area outside the monastery walls. Scale bar: 1 cm.
FIG. 10 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 10. — Pike (Esox lucius Linnaeus, 1758) dentale from the layer above the floor of Building VII. Scale bar: 1 cm.
FIG. 7 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 7. — Eggshell fragments stuck to a catfish (Silurus glanis Linnaeus, 1758) hyomandibulare, from the layer above the floor of Building VII (after Marković et al. 2016: 105, fig. 4). Scale bar: 1 cm.
FIG. 5 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 5. — Studenica Monastery site plan, with marked contexts with fish remains (below Building V/1, above buildings V and VII, and the area outside the monastery walls) (modified after Popović 2015: 34, fig. 10).
FIG. 1 in Food worthy of kings and saints: fish consumption in the medieval monastery Studenica (Serbia)
FIG. 1. — The location of Studenica Monastery and other medieval monasteries, sites and fisheries mentioned in the text. White rectangle, Iron Gates or the Danube Gorges area; white ellipse, location of the Gospođin Vir gorge.
Early Medieval handwriting data
<p>The data consists of metadata and handwriting metrics produced by Script Analyzer for a sample of 20 Early Medieval Latin charters. The data set is related to an upcoming publication.</p>
EDS and XRD analysis of medieval ceramics from Beaupréau-en-Mauges (France)
<p>This dataset contains analyses of 76 ceramic samples from the medieval workshop of Les Landes (Beaupréau-en-Mauges, Maine-et-Loire, France). The chemical composition of the samples was obtained by energy-dispersive X-ray fluorescence spectrometry (EDS). The mineralogical composition of the samples was studied by powder X-ray diffraction (XRD).</p> <p><strong>Method</strong></p> <p>The outer surfaces of all the samples were mechanically removed prior to analysis.</p> <p><em><strong>EDS</strong></em></p> <p>The samples were heated to 950°C for one hour after 24h drying at 50°C, weighted for LOI calculation and ground in a tungsten carbide mortar. Measurements were made on pelletized powders.</p> <p>The data were collected by energy dispersive X-ray fluorescence spectrometry (Oxford INCA 300 spectrometer) coupled with scanning electron microscopy imaging (JEOL JSM 6460LV variable pressure microscope). The measurements were carried out under partial vacuum (20 Pa) with an acceleration voltage of 20 kV. The acquisition time is 90 s per spectrum, over the energy range 0-20 keV. For all EDS spectra, the dead time during acquisition is about 30%, for an average number of hits per spectrum greater than 10<sup>6</sup>. The compositions are calculated from Oxford Instruments standards made of metals, synthetic compounds and natural minerals.</p> <p>Six measurements were carried out on each pellet (the area analyzed during each measurement is approximately 5.10<sup>-2</sup> mm<sup>2</sup>). The results are expressed in mass percentages of oxides and are normalized to 100%. Ten major elements were quantified: Na<sub>2</sub>O, MgO, Al<sub>2</sub>O<sub>3</sub>, SiO<sub>2</sub>, P<sub>2</sub>O<sub>5</sub>, K<sub>2</sub>O, CaO, TiO<sub>2</sub>, MnO, Fe<sub>2</sub>O<sub>3</sub> (total iron). Although results of elementary composition below 0.5 wt% lack quantitative precision, they are mentioned in the general composition as they hold qualitative information. Values below 0.01% must be considered unreliable.</p> <p>The EDS.csv file contains all the chemical compositions, with the following columns:</p> <ul> <li><em>sample</em>: sample reference.</li> <li><em>analysis</em>: analysis reference (1 to 6 per sample).</li> <li><em>date</em>: date of the analysis.</li> <li><em>laboratory</em>: analysis laboratory.</li> <li><em>fait, stratigraphy, isolat</em>: stratigraphic unit.</li> <li><em>artefact</em>: typology.</li> <li><em>LOI</em>: loss on ignition (percent).</li> <li><em>Na<sub>2</sub>O, MgO, Al<sub>2</sub>O<sub>3</sub>, SiO<sub>2</sub>, P<sub>2</sub>O<sub>5</sub>, K<sub>2</sub>O, CaO, TiO<sub>2</sub>, MnO, Fe<sub>2</sub>O<sub>3</sub> (total)</em>: oxide mass percents.</li> </ul> <p><em><strong>XRD</strong></em></p> <p>The data were collected with a D8 Advance (Bruker) diffractometer in Bragg-Brentano configuration working at 1.6 kW (40 kV, 40 mA) and equipped with a copper anode source (k<sub>α1</sub> = 1.5406 ; the k<sub>β</sub> ray being removed by a Ni-filter in the diffracted beam). The tube was equipped with a 0.3° divergence slit and an 8 mm anti-scattering slit was mounted in front of the LynxEye© CCD detector.</p> <p>Data recording was performed from 3° to 70° (2θ), in steps of 0.02° with an acquisition time of 2 s, the sample being rotated. The stability of the device was controlled between the different series of measurements by the analysis of a standard (corundum crystal, NIST 1976).</p> <p>The XRD.zip archive contains all diffractograms in the Bruker raw format. The XRD.csv file contains all results expressed in counts, one sample per row, the first line gives the angular position (2 thêta) and the first columns contains the sample code.</p>
The Lost Patriarchs Project: discovering Greek patristics in the medieval Latin tradition
<p>A video and transcript on The Lost Patriarchs Project, delivered for the Dark Archives Conference, September 8-10, 2020. More information can be found on the<a href="https://www.lostpatriarchsproject.com/"> project website</a>.</p>
A sermon by any other name? The pseudo-Augustinian S. App. 121 and its medieval textual network
<p>The Latin sermons preached by the Fathers of the Early Church – Augustine, Gregory, Leo – and their contemporaries had a dynamic and complex medieval afterlife. Throughout the Middle Ages, they circulated in manuscript form, usually as part of collections of patristic preaching. Both the collections and the sermons themselves were heavily manipulated as part of their medieval reception. Additionally, they circulated alongside (and became intertwined with) an enormous corpus of pseudo-epigraphic sermons that were attributed to one of the authoritative Fathers but of which the origin, whether Late-Antique or Medieval, is uncertain.<br> The ERC-funded PASSIM project (2019-2023) aims at charting and analysing the complex interrelations between the manuscripts transmitting patristic sermon collections, and between the texts they contain, through the development of a database and web application. In due course, these digital tools will grant access to the corpus’ complex research tradition, manuscript transmission and textual relations. In doing so, the PASSIM project strives to open up new research avenues for the study of the reception of Latin patristic sermons in medieval manuscripts. In addition to traditional list views, we aim to include in the PASSIM web application various types of network visualisations, presenting at a glance the manuscript transmission of a sermon, the building blocks of a collection, the spread of author attributions, the popularity of a sermon over time etc.<br> In this paper, we want to focus on network visualisations of textual overlap between sermons. Specifically, we will explore the challenges inherent in creating a serviceable network of a sermon’s textual relations that is not dependent upon a full textual analysis of the relevant texts. We want to point the user in the right direction without saying the final word on the subject. As a testcase, we will use the pseudo-Augustinian sermon S. App. 121, an anonymous text derived from various models, which also served as a model for later sermons. Moving from the conceptual to the concrete, our paper will explore the possibilities and challenges of visualisations for networks of texts, contributing as such to the accessibility of the complex corpus of patristic preaching and to the development of the PASSIM database.</p>
Text Reuse in the Medieval Chinese Public Inscriptions (618-907)
<p>It is commonly known that Chinese premodern authors preferred using a number of allusions originating from classics in their own works, which is certainly a way of text reuse. They sometimes quoted original texts directly, while sometimes substituted some characters or inverted grammatical constructions without changing the original meaning. What I want to study in this paper is to find the network of text reuse covering all the public inscriptions, including those inscribed on steles, walls or bells to which the public had access, in the Tang Dynasty China (618-907). A database including more than 1,000 inscriptions with about 1,000,000 Chinese characters / words has been built as the base of this project. Metadata such as authors, dates and places, have been manually added to each inscription. Based on the metadata, temporal and spatial distribution of the inscriptions will be visually displayed. According to my pilot studies, Confucian canons, especially the Five Classics, were quoted most frequently in the inscriptions. Based on close reading experience, history books and religious canons had great influence on medieval Chinese literati’s writing as well. So I would like to discover the network which reflects how public inscriptions reused Chinese Confucian classics, prestigious history books, Buddhist and Daoist canons.<br> Beyond finding the network of text reuse, I also want to find out whether one author had preferences to some specific classical allusions, and which books were referred to the most frequently in different periods or places. Besides distant reading, I plan to do close reading of texts to show how genres of texts influenced authors’ choices of text reuse and how authors’ writing strategies were influenced by certain political contexts. Ideally, I want to further analyze the intellectual and political history behind the network of text reuse. This research is an experiment on applying digital humanities to Chinese history studies, in which methodological issues will be especially addressed.</p>
Digital Humanities: New Approaches to Research and Teaching of the Medieval Mediterranean (5th to 15th centuries). (Digital Research Session)
<p>This webinar was funded by the Society for the Medieval Mediterranean, thanks to the “Simon Barton Postgraduate & ECR Conference Prize 2020” awarded to Nerea Fernández Cadenas (https://www.societymedievalmediterranean.com/simon-barton-postgraduate-conference-prize)<br> It has been designed to offer a forum in which scholars can debate and share their experiences about the difficulties and advantages of researching and teaching through Digital Humanities when exploring Medieval Mediterranean History.</p> <p>Moderated by Nerea Fernández Cadenas , speakers were:<br> <strong>Dr David Natal Villazala: </strong>Lecturer in History at Royal Holloway. His research has focused on the social history of late antiquity, with special attention to the western, Latin-speaking part of the Roman Empire. Related to this subject is his monograph: Fugiamus ergo forum’. Ascetismo y poder en Ambrosio de Milán with University of León in 2010. His current project analyses how a ‘universal’ late antique Church was constructed despite the end of the Western Roman Empire through GIS software. This project is funded by the ERC-Starting Grant scheme (€1,465,316) and hosted at Royal Holloway, University of London and at the Austrian Centre for Digital Humanities (Vienna).<br> <strong>Dr Antonio Blanco González</strong>: PhD viva 2009, held academic positions at the universities of Durham (UK) as a EU-funded Marie Sklodowska Curie fellow and Valladolid (Spain) as a Juan de la Cierva post-doctoral scholar. He nowadays works as a lecturer with the University of Salamanca (Spain). His interests include social and landscape archaeology and has published widely on these topics in top-ranked international journals.<br> <strong>Dr Evina Steinová:</strong> Postdoctoral researcher at the Huygens ING, an institute of the Dutch Royal Academy of Arts and Sciences (KNAW) in Amsterdam. She is the principal investigator of a three-year VENI project Innovating Knowledge dealing with the early medieval manuscripts of the Etymologiae of Isidore of Seville, the innovations found in these manuscripts, and the intellectual networks that served as channels for the spreading of these innovations. Her PhD research focused on annotation symbols used in Western manuscripts in Late Antiquity and the early Middle Ages. She published a monograph on this subject, Notam supere studui: The Use of Annotation Symbols in the Early Middle Ages, with Brepols in 2019.<br> This webinar was recorded on 29/09/20.</p>
Supplementary Materials of article entitled 'Wide variations in Medieval French unambiguous V2 configurations are due to register'', published in Linguistics
<p>See the publication for details</p>
Medieval Bridge
a simple textured medieval bridge Source: Objaverse 1.0 / Sketchfab
Functional changes in fortified places: Strategy and defensive architecture in the Medieval and Early Modern Era
<p><strong>Data for Scott Kirk's Doctoral Dissertation.</strong></p> <p><strong>Dissertation Abstract:</strong></p> <p>Defined as fortified elite Houses, castles are a cross-cultural phenomenon, best understood by pairing Niche Construction Theory (NCT) with the Lévi-Straussian concept of the House. NCT can be thought of as a theory of the built environment, thus the material configuration of castles and their placement on the landscape reflect elite socio-cultural requirements. My dissertation asks: How do changes in castle morphology and landscape placement reflect broad shifts in function diachronically and cross-culturally?</p> <p>Wherever elites are militarized, castles typically appear. Similarities in castle design and function are best understood through anthropological frameworks and comparative, interdisciplinary approaches. Using a sample of castles from medieval European, western colonial, and nonwestern societies, I hypothesize that: (1) castle building is a common, cross-cultural behavior, (2) geography and the environment constrain castle location, allowing for a landscape-based typology of castles, and (3) changes in castle placement and design reflect large-scale social competition between elites.</p> <p>These hypotheses contradict much of the current regionally-focused work in castle studies, which are often grounded in national ideologies. Early 20th century studies were more aligned with my hypotheses. Revisiting these earlier investigations, my dissertation uses anthropological theories within an interdisciplinary approach. It combines architectural, statistical, and geospatial analyses to quantitatively test how similar castle placement and co-occurring architectural features are cross-culturally, and how these attributes change over time in relation to elite competition.</p> <p>This research has general and theoretical significance for assessing mechanisms of elite status reinforcement, behavior, and decision-making across space and time. Building a typology that characterizes castles as resource control points, examining how similar architectural features appear in disparate cultures, and exploring social change driven by elite competition, my dissertation takes aim at nationalistic policies by illustrating cross-cultural similarities that are applicable to the modern world in terms of increasing wealth disparities and socioeconomic inequality.</p>
Material adicional - La producción metalúrgica en la Alpujarra medieval: el caso de la fortaleza de Guarros (Paterna del Río, Almería)
<p>Material adicional del artículo "La producción metalúrgica en la Alpujarra medieval: el caso de la fortaleza de Guarros (Paterna del Río, Almería)</p>
medieval_house_constructor_01
part of medievaltown project Source: Objaverse 1.0 / Sketchfab
Simple Medieval Lamp
Simple medieval street lamp. Source: Objaverse 1.0 / Sketchfab
Dataset for "Narratives of religious dissidence in medieval inquisition records: computing the representation and sequencing of crimes in Peter Seila's register of sentences (1241–2)"
<p><strong>This dataset supports the under-review article "Narratives of religious dissidence in medieval inquisition records: computing the representation and sequencing of crimes in Peter Seila’s register of sentences (1241–2)".</strong><br><br>It is composed of three sheets, containing data derived from <strong>Peter Seila's register of inquisition sentences</strong> (Paris, Bibliothèque nationale de France, MS Doat 21, fols. 185r–324r).<br><br><strong>1. A table of all crimes</strong> ("crimes" sheet; n=3789) narrated in the summaries of guilt in textual order. </p> <ul> <li> <p>“crime_id": a unique identifier for each crime</p> </li> <li> <p>"suspect_id", "suspect_name": specifies the suspect i.e., the person in whose summary the crime appears</p> </li> <li> <p>"suspect_sex": records the sex of the suspect</p> </li> <li> <p>"region", "period": records the region and period in which the crime was recorded </p> </li> <li> <p>"crime_type": a variable based on the original Latin form/s of particular crime semantics; there are 143 such “crime types”, mostly describing various forms of contact with dissident ministers </p> </li> <li> <p>"crime_category": an analytical categorization (6 categories in total); based on the different forms of contact </p> </li> <li> <p>"dissident_minister_affiliation": a record of the sect affiliation of the crime, depending on the type of the dissident minister involved; "h" = heretici; "v" = valdenses, "b" = both, "u" = unaffiliated</p> </li> <li> <p>"recurrence": a recurrence category ("once", "multiple" or "being") capturing three levels of crime recurrence specification</p> </li> <li> <p>"aggravating_alleviating_circumstance": a record of any guilt contextualizaton ("aggravating", "alleviation" or "NA"), capturing whether there are any additional circumstances pertaining to guilt mentioned in the crime's narration</p> </li> <li> <p>"location_circumstance": a record ofwhether a location is specified in relation to the crime ("location" or "NA")</p> </li> <li> <p>"statement_text": the original text from which the coding of the crime derives</p> </li> </ul> <p><strong>2. A table of all individual summaries of guilt in the register</strong> ("summaries" sheet"; n=649). Each summary describes the guilt of one person. The 7 textual summaries in the source referring to two people have each been rendered as two individual summaries. Parts of the table are a projection of the “crimes” sheet. </p> <ul> <li> <p>"summary_id": a unique ID for each summary</p> </li> <li> <p>"suspect_id", "suspect_name": specifies the suspect of the summary</p> </li> <li> <p>"suspect_sex": records the sex of the suspect</p> </li> <li> <p>"region", "period": records the region and period in which the summary was recorded</p> </li> <li> <p>"crime_sequence": the sequence of crime types (individual crimes separated by spaces); derived from the data in the “crime_type” data in the ““crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"sect_sequence": the sequence of crime sect affiliations (h = heretici; v = valdenses, b = both, u = unaffiliated); derived from the "dissident_minister_affiliation” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"recurrence_sequence": the sequence of crime recurrence categories ("once", "multiple" or "being" values separated by spaces); derived from the “recurrence” data in the “crime” sheet, grouped by “suspect_id” and retaining textual order</p> </li> <li> <p>"sequence_length": length of summary crime sequence (i.e., number of crimes within the summary)</p> </li> <li> <p>"crime_type_non-adjacent_reps", "seeing_and_seeking_non-adjacent_reps": the two types of non-adjacent crime repetitions defined in the article; derived from the sequence of crime types </p> </li> <li> <p>"narbonne_language_sequence": the rendering of the summary’s crime sequence in the crime language of the Narbonne Order interrogatory, performed in the manner described in the article</p> </li> <li> <p>“narbonne_number_sequence”: the rendering of the summary’s crime sequence as a series of numbers (separated by “_”) according to the place numbers of the associated crimes within the Narbonne Order interrogatory sequence</p> </li> <li> <p>"narbonne_conformity_index", "narbonne_conformity_index_vidit_segmented": the two types of Narbonne Order conformity index defined in the article</p> </li> </ul> <p><strong>3. A dictionary of the crime types found in the register</strong> ("crime_dictionary" sheet, n=143). </p> <ul> <li> <p>"crime_type": the crime type based on its Latin form/forms and meaning</p> </li> <li> <p>"crime_type_english": an English translation of the Latin crime type</p> </li> <li> <p>"crime_category": the crime category (out of 6 such categories) within which the crime type falls</p> </li> <li> <p>"crime_count": the count of each crime type within the register's summaries </p> </li> <li> <p>"narbonne_crime_equivalent": the Narbonne Order interrogatory crime to which we have associated it with for the purpose of the conformity analysis</p> </li> <li> <p>"narbonne_sequence_number": the place number (from 1 to 28) of the associated Narbonne Order interrogatory crime within the Narbonne Order interrogatory sequence</p> </li> </ul>
Medieval church patrocinia in the present-day province of Belgian Limburg
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