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Data supplement for the landscape connectivity study between Iron Age settlements (LT B-LT D) in Křivoklát Protected Landscape Area with focus on site of Nižbor (exact quotation of the paper will be added after its official publishing – Venclová, N. –Dreslerová, D. – Kyselý, R. – Dyčka, M. – Šebesta, J. – Pachnerová Brabcová, K. – Bíšková, J. – Matoušek, V. 2024: Paths to this and the next world: A La Tène sunken hut from Nižbor, Central Bohemia. Archeologické rozhledy 76, 329-358). The study is based on the analysis called Cumulative Focal Mobility Network (CFMN), which has been perfected for more than a decade. This method calculates directional-less movement in the artificial environment from a multitude of source points (grid of 256 equally spaced points in a 50 km radius around Nižbor) by means of the interpretation of slope model using hydrological tools (Fábrega-Álvarez 2006; Murrieta-Flores 2012). The resulting x-number of models, representing the most convenient paths to the selection of points, are then merged and analysed with the Density tool to find the highest number of overlaps (for the syntax, see Fig. 14). In practice, these are the corridors for the most convenient movement throughout the landscape (Bellavia 2001; Verhagen 2010; Déderix 2016). In other words, the analysis can be described as an ideal model of connectivity and accessibility of various locations in the terrain and of optimal pathways – natural corridors of movement – leading across the entire landscape (Verhagen et al. 2013; Stančo – Pažout 2020). The 5th generation Digital Terrain Model of the Czech Republic (DMR 5G) was used for the analysis. It was reclassified to an 8 m cell size and cleared of modern infrastructure developments (Novák et al. 2022). It was combined with the Model of Potential Floodplains in the Czech Republic (Novák 2017), which served as a further buffer for the movement. All analyses were calculated in ArcMap 10.8 software. To reconstruct the position of the studied site in the LT B–LT ­D period in a broader sense, the settlement pattern should be considered within the Křivoklát Protected Landscape Area and its surroundings (principally Beroun, Kladno, Praha-západ and Rakovník districts in Central Bohemia). An overview of La Tène sites was recently presented (Dreslerová et al. 2022) based on current archaeological records (AMCR database). Hence, in a 50 km radius around Nižbor, 344 positive confirmations of human activity can be found between LT B and LT D. For the needs of this study, the site location was refined by merging the immediately neighbouring ones into clusters, which are further treated as one site with positive confirmation of occupation in LT B­–LT D. A total of 149 sites were thus studied in relation to Nižbor. Sources: AMCR database: Archaeological Map of the Czech Republic. Available at: https://digiarchiv.aiscr.cz/ [accessed 01-01-2022]. Bellavia, G. 2001: Extracting "Natural Pathways" from a Digital Elevation Model. Applications to Landscape Archaeological Studies. In: G. Burenhult – J. Arvidsson (eds.), Archaeological Informatics: Pushing The Envelope. Proceedings of the CAA 2001. Oxford: Archaeopress, 5–12. Déderix, S. 2016: Travelling Across Archaeological Landscapes: the Contribution of Hierarchical Communication Networks. In: S. Campana et al. (eds.), Keep the revolution going. Proceedings of the 43rd Annual Conference of Computer Applications and Quantitative Methods in Archaeology, CAA 2015. Oxford: Archaeopress, 555–565. Dreslerová, D. – Venclová, N. – Demján, P. – Kyselý, R. – Matoušek, V. 2022: Did they leave or not? A critical perspective on the beginnings of the La Tène period in Bohemia. Archeologické rozhledy 74, 505–537. https://doi.org/10.35686/AR.2022.24 Fábrega-Álvarez, P. 2006: Moving without destination. A theoretical GIS-based determination of movement from a giving origin. Archaeological Computing Newsletter 64, 7–11. Murrieta-Flores, P. 2012: Understanding human movement through spatial technologies. The role of natural areas of transit in the Late Prehistory of south-western Iberia. Trabajos de Prehistoria 69, 103–122. Novák D. 2017: GIS data - Model potenciálních rozlivových zón na území ČR | GIS data - Model of Potential Floodplains in the Czech Republic. Zenodo. doi: 10.5281/zenodo.3367357. Novák D. – Pružinec F. – Lieskovský T. 2022: The Potential and Implications of Automated Pre-Processing of Lidar-Based Digital Elevation Models for Large-Scale Archaeological Landscape Analysis. Slovak Journal of Civil Engineering 30, 4. http://dx.doi.org/10.2139/ssrn.4063514 Stančo, L. – Pažout, A. 2020: Which way to Roxane: Mobility networks in the heartland of Central Asia. Journal of Archaeological Science: Reports 32, 102391. https://doi.org/10.1016/j.jasrep.2020.102391 Verhagen, P. 2010: On the Road to Nowhere? Least Cost Paths, Accessibility and the Predictive Modelling Perspective. In: F. Contreras – M. Farjas – F. J. Melero (eds.), Proceedings of the 38th Annual Conference on Computer Applications and Quantitative Methods in Archaeology, CAA 2010. Oxford: Archaeopress, 383–390. Verhagen, P. – Brughmans, T. – Nuninger, L. – Bertoncello, F. 2013: The Long and Winding Road: Combining Least Cost Paths and Network Analysis Techniques for Settlement Location Analysis and Predictive Modelling. In: E. Graeme (ed.), Archaeology in the Digital Era. Papers from the 40th Annual Conference of Computer Applications and Quantitative Methods in Archaeology (CAA), Southampton, 26-29 March 2012. Amsterdam: Amsterdam University Press, 357–366.

Nálezy z archeologického výzkumu v Březnici (okr. Tábor) v letech 2005-2009 a 2019. Výzkum provedl O. Chvojka (Archeologický ústav FF JU v Českých Budějovicích). Data zahrnují údaje o keramice a dalších nálezech použitých k depoziční analýze sídlištních objektů mladší doby bronzové, zejména tzv. žlabů. Výsledky analýzy jsou publikovány v Chvojka et al. 2021. Popis databáze je obsažen v přiloženém PDF souboru. Podpořeno Grantovou agenturou ČR (18-10747S). Finds from the archaeological excavations in Březnice (Tábor district, South Bohemia, Czech Republic) in 2005-2009 and 2019. The fieldwork was directed by O. Chvojka (Institute of Archaeology, South Bohemian University in České Budějovice). Data concern the pottery fragments and other finds (daub, loom weights) used for the analysis of deposition processes in the Late Bronze Age settlement features. Based on this material, a model of house biography and the concept of closing rituals were formulated (see Chvojka et al. 2021). These models suggest an interpretation for the so-called trenches, specific sunken features filled with an unusually rich content of secondary-burnt pottery and other finds. Details of the database are given in the attached PDF file. Supported by the Czech Sceince Foundation (18-10747S). Chvojka, O. – Kuna, M. – Menšík, P. et al. 2021: Rituály ukončení a obnovy. Sídliště mladší doby bronzové v Březnici u Bechyně – Rituals of termination and renewal. The Late Bronze Age settlement in Březnice near Bechyně. České Budějovice – Praha – Plzeň. ISBN 978-80-7394-899-3; ISBN 978-80-7581-039-7; ISBN 978-80-261-1083-5.

Finding the lineage of a research topic is crucial for understanding the prior state of the art and advancing scientific displacement. The deluge of scholarly articles makes it difficult to locate the most relevant prior work and causes researchers to spend a considerable amount of time building up their literature list. Citations play a significant role in discovering relevant literature. However, not all citations are created equal. A majority of the citations that a paper receives are for providing contextual, and background information to the citing papers and are not central to the theme of those papers. However, some papers are pivotal to the citing paper and inspire or stem up the research in the citing paper. Hence the nature of citation the former receives from the later is significant. In this work in progress paper, we discuss our preliminary idea towards establishing a lineage for a given research via identifying significant citations. We hypothesize that such an automated system can facilitate relevant literature discovery and help identify knowledge flow for at least a certain category of papers. The distal goal of this work is to identify the real impact of research work or a facility beyond direct citation counts.

The dataset was created within the project ���Land use, social transformations and woodland in Central European Prehistory. Modelling approaches to human-environment interactions��� funded by the Czech Science Foundation (19-20970Y). This dataset represents the largest and the most comprehensive collection of archaeological radiocarbon dates from the Czech Republic to date. The dataset offers 1579 samples from 347 archaeological sites dating from Early Mesolithic (10 000 BC) to Medieval Period (AD 1250). Published in a simple spreadsheet format, the database offers researchers a quick tool for further analyses. It is important to highlight that dates we collected originated only from archaeological contexts, which means that we have excluded some radiocarbon dates produced through palaeoecological research without a direct relationship to past human activities, such as pollen records or samples from fossilized trees in river beds. The dataset is intended to be used for demographic modelling of population numbers during periods without written records, i.e. prehistory. 1.0.1. - minor changes of data - corrections of few coordinates and Site IDs

This article is dedicated to Vergílio Ferreira’s lyrical reflective novel Forever (Para Sempre, 1983) and presents the spatial analysis of the house. The novel’s protagonist Paulo returns to his childhood home. The house, which has been abandoned for years, provokes a need in him to review his life, which leads to a search for the meaning of human existence in general. Paulo, the self-diegetic narrator, is returning to the house of his childhood. It is the definitive return that begins the last phase of his life, the time remaining until his death. Wandering around the house, running down the corridors, up and down the stairs, entering each room, he finds a stopped time, rediscovers his past, and thinks about his future and his dreams. There are four symbols that represent the four main rooms, which work as the keys to interpretation.

The article presents the results of archaeoparasitological and palynological research of the cultural layers located in the ancient Artesian settlement in the Eastern Crimea. The study revealed the species composition of parasites and palynological spectrum in the cultural layers. Parasite eggs distribution over the layers indicates high content of eggs in almost all periods of the citadel’s existence. High abundance of geohelminth eggs in the studied samples, which might belong to both humans and domestic animals, indicates the unsatisfactory sanitary state of the settlement and the constant risk of infection with geohelminthiasis and intestinal infections possessing the same fecal-oral route of transmission. Features of the studied spore-pollen spectra do not allow a detailed reconstruction of the vegetation dynamics in the vicinity of the Artezian fortress at the turn of the millennium. The major reason is complexity of spectra formation: in addition to pollen deposited from the air (pollen rain), a significant proportion consists of pollen grains brought from other sources. Furthermore, interpretation of the spore-pollen spectra is complicated by presence of a large number of microcharcoals and burnt pollen grains. Despite the above-mentioned challenges in the study of samples from the cultural layers of the Artezian archaeological site using spore-pollen method, we have determined that the inhabitants of the settlement probably used animal dung as fuel, and that at the turn of the millennium, forestless open landscapes covered with steppe vegetation were predominant around the settlement. An important result of the study is the demonstration of unexplored opportunities to investigate cultural layers by archaeoparasitological and palynological methods and of the obtained data use as a source of bioarchaeological information.

Marx’s Economic and Philosophical Manuscripts are usually interpreted as a transitional work between different elements of Feuerbach’s and Hegel’s philosophy which are still strongly present in the work of young Marx, and between Marx’s mature historical materialism. In the present text, we will try to show (with reference to the recent discussions on “young Marx”, especially in the French context), that the Manuscripts, in fact, contain an ontology that cannot be reduce either to a mere residuum of classical German philosophy, or to a materialist conception of social life. We shall try to describe this original ontology as an ontology of the sensible, or as an ontology of the finitude of human sensibility.”

This paper explores several approaches to assess temporal trends within archaeological and historical datasets containing records marked with significant extent of uncertainty accompanying their dating. We evaluate the strengths and pitfalls of these methodologies by employing two datasets: one comprising ancient shipwrecks and the other ancient Greek inscriptions. While these objects can, in principle, be precisely dated to specific years, they are often assigned broader date ranges, spanning centuries or longer historical periods. We propose that the most promising approaches involve using these date ranges as defining probabilities. By randomly assigning specific dates based on these probabilities, we enable hypothesis testing for temporal trends. As we want to encourage other scholars to employ the methods we propose, we offer a detailed description of the implementation of these methods using functions from the Python tempun package.

The authors also acknowledge the support and collaboration of many other colleagues in their respective institutes, research communities and IT Infrastructures, together with the funding received by these from many different sources. These include but are not limited to the following: (i) The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of more than 170 computing centres in 43 countries, linking up national and international grid infrastructures. Funding is acknowledged from many national funding bodies and we acknowledge the support of several operational infrastructures including EGI, OSG and NDGF/NeIC. (ii) EGI acknowledges the funding and support received from the European Commission and the many National Grid Initiatives and other members. EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777536. (iii) The work leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 730941 (AARC2). (iv) Work on the development of ESGF's identity management system has been supported by The UK Natural Environment Research Council and funding from the European Union's Seventh Framework Programme for research, technological development and demonstration through projects IS-ENES (grant agreement no 228203) and IS-ENES2 (grant agreement no 312979). (v) Ludek Matyska and Michal Prochazka acknowledge funding from the RI ELIXIR CZ project funded by MEYS Czech Republic No. LM2015047. (vi) Scott Koranda acknowledges support provided by the United States National Science Foundation under Grant No. PHY-1700765. (vii) GÉANT Association on behalf of the GN4 Phase 2 project (GN4-2).The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 731122(GN4-2). (viii) ELIXIR acknowledges support from Research Infrastructure programme of Horizon 2020 grant No 676559 EXCELERATE. (ix) CORBEL life science cluster acknowledges support from Horizon 2020 research and innovation programme under grant agreement No 654248. (x) Mirjam van Daalen acknowledges that the research leading to this result has been supported by the project CALIPSOplus under the Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020. (xi) EISCAT is an international association supported by research organisations in China (CRIRP), Finland (SA), Japan (NIPR), Norway (NFR), Sweden (VR), and the United Kingdom (NERC). This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America.