• 2020-2024close
• Open Access close
• Open Source close
• Research data close
• Dataset close
• ZENODO close
• Digital Humanities and Cultural Her... close

This is the state of the Neptune (NSB) database (http://nsb.mfn-berlin.de) as of 2020-03-31 archived by Johan Renaudie.. The database is given as a native PostgreSQL backup (nsb_postgresql.zip) and is also provided here in SQLite for convenience (nsb_sqlite.zip). As the foreign keys are not preserved in the latter, please check Renaudie et al. 2020 to find back the table relations. Denormalized tables are also provided in file denormalized_table.zip: occurrences.csv contains the full unfiltered micropaleontological occurrences recorded in NSB. filtered_occurrences.csv represent a more typical output from the website, i. e. with possibly reworked specimens, open nomenclature taxa and questionable identifications filtered out. agemodels.csv finally contains the age models (as a serie of tiepoints) with their metadata

This is a small hand-annotated partial treebank of Modern Tibetan, primarily in CoNLL-U format. Some texts were POS-tagged by machine, and then dependency relations between verbs and their arguments were added by hand. Other texts include only dependency relations and relevant POS-tags. A number of the texts have English translations which have been manually aligned to the Tibetan text. This work was created as part of the AHRC-funded project Lexicography in Motion (PI Ulrich Pagel, 2017-2021). Funded by the UK's Arts and Humanities Research Council (grant code: AH/P004644/1)

Parsed AMR files of the FIN10K dataset used in FLAG experiments.

These files contain the calculations of phonological proximity and validations with users carried out on a subset of the Costa Rican Sign Language (LESCO, for its acronym in Spanish). The signs corresponding to the alphabet have been used.

Background and methodology: The subject co-occurrence matrix represents the pairs of All Science Journal Classification (ASJC) disciplines that co-occur in journals represented in the SHAPE-ID Literature Review dataset, prepared for the purposes of quantitative analysis. We take disciplinary affiliations of journals as a proxy of disciplinary characteristics of the journal articles in the Literature Review dataset, mindful of the fact that a particular article might deviate from the disciplinary affiliation of the journal in which it was published. However, since there was no data readily available on item level, and manual disciplinary encoding of all the items in the bibliography was beyond the scope of this study, the method used is the best approximation of the presence of discourse on interdisciplinarity and transdisciplinarity, in and between disciplines. In the matrix, each co-occurrence value is weighted by the number of journals that feature the given pair of disciplines, and by the number of articles represented in the dataset that feature in these journals. E.g. if Journals J1 and J2 each featured disciplines D1 and D2, and if 4 articles from J1 and 7 articles from J2 are represented in the SHAPE-ID Literature Review dataset, the co-occurrence value is 11. The pairings cross-referencing a single discipline (e.g. 1202 History in both first row and first column) correspond to the co-occurence value of mono-disciplinary journals. Description of the file: This is a csv file containing a 308x308 cell matrix with ASJC disciplines in first rows and columns, and co-occurrence value in the remaining cells.

Anonymised version of the survey results on alternative aggregation mechanisms. The online survey was conducted through Google Forms and was available from April 20 to May 8, 2020 as part of a master’s thesis in Information Science. The main objective of this survey was to gauge the awareness, interest, and use of technologies other than OAI-PMH for (meta)data aggregation. The main target audiences of the survey were the data providers and the aggregators of the Europeana network, albeit it should be noted that it was also open to other organisations and individuals working in the cultural heritage field. Another goal of the survey was to identify possible pilot experiments that Europeana could conduct with interested organisations.

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.

Funded by: Irish Research Council (IRC) Government of Ireland Postdoctoral Fellowship 2017 GOIPD/2017/996, hosted by Department of Archaeology, University College Cork. Catalogue dataset of monograph Female Monasticism in Medieval Ireland: An Archaeology (forthcoming, Cork: Cork University Press).

Final 3D dataset for object 1989.24.71888-71893-71196 in the collections of York Archaeological Trust. 1989.24.71888-71893-71196 comprises three sherds of a North Gaulish White ware 4 mortarium (Tomber and Dore 1998, 75, NOG WH 4; Gillam Type 238 (1970, 25); Monaghan 1997, 939, no. 3407, fig. 374, p.940). Data was captured using a Zeiss Comet L3D 2 5M at 100 FOV to enable the analysis of use-wear on archaeological objects. The model is scaled in millimetres. Final dataset consists of 14,916,975 triangles - additional metadata included in associated spreadsheet. Access to these materials was facilitated by the York Archaeological Trust. Please include the original catalogue reference to the physical object when citing this material. Funding was provided by the University of Missouri System Research Board, Grant no. RB 17-31.