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IsSupplementTo: De Vitis, M., Tabanelli, M., Breveglieri, R., Filippini, M., Galletti, C., Fattori, P. (2022). The Superior Parietal Lobule of Macaque Monkey: Relative Influence of Gaze and Static Arm Position during Reaching. Eneuro, 9(1), ENEURO.0362-21.2021. (https://doi.org/10.1523/ENEURO.0362-21.2021) IsSupplementTo: Hadjidimitrakis, K., De Vitis, M., Ghodrati, M., Filippini, M., Fattori, P. (2022). Anterior-posterior gradient in the integrated processing of forelimb movement direction and distance in macaque parietal cortex. Cell Reports, 41(6), 111608. (https://doi.org/10.1016/j.celrep.2022.111608) IsSupplementTo: Filippini, M., Borra, D., Ursino, M., Magosso, E., Fattori, P. (2022). Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. Neural Networks, 151, 276–294. (https://doi.org/10.1016/j.neunet.2022.03.044) IsSupplementTo: Diomedi, S., Vaccari, F. E., Galletti, C., Hadjidimitrakis, K., & Fattori, P. (2021). Motor-like neural dynamics in two parietal areas during arm reaching. Progress in Neurobiology, 205, 102116. (https://doi.org/10.1016/j.pneurobio.2021.102116) IsSupplementTo: Diomedi, S., Vaccari, F. E., Filippini, M., Fattori, P., Galletti, C. (2020). Mixed Selectivity in Macaque Medial Parietal Cortex during Eye-Hand Reaching. IScience, 23(10), 101616. (https://doi.org/10.1016/j.isci.2020.101616) Six electrophysiological datasets were recorded from three regions (V6A, PEc, PE) within the superior parietal lobule (SPL) of two Macaca fascicularis monkeys during a task involving instructed-delay foveated reaching

This catalogue was compiled as part of the MaltaPot project at the University of Malta. This project aims to understand better the pottery manufactured in Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Zebbuġ (Late Neolithic) periods. This catalogue will be associated with a submitted paper reviewing the Pre-Temple Wares in Malta and will be released concomitantly to the paper if accepted. This document is a PDF; the data and photographs can be accessed by contacting the authors. This catalogue was compiled in 2023. Data collection was carried out between 2018-2020 and 2023. This catalogue was compiled in 2023. Data collection was carried out between 2018-2020 and 2023.

This dataset containts the underlying data that was used to analyse the SmartCulTour identified interventions that were described under the production of abstracts and practice videos of D6.2. The data collection established: Context & background Reason why of the intervention Resources and tools Expected economic impact Expected social impact Expected cultural impact Expected environmental impact Success conditions These criteria were analysed by the SmartCulTour local experts and meant to feed into the updated taxonomy on cultural tourism interventions of D3.4. The interventions that are described are linked to the practice videos that can be found under the Living Labs section of the SmartCulTour website (www.smartcultour.eu) and pertain to: Rotterdam Living Lab: Planning for the future of Hoek van Holland & Bospolder-Tussendijken Scheldeland Living Lab: Hof van Coolhem: social employment and care project in tourism Scheldeland Living Lab: Bornem Castle: upgrades historical exhibitions & creates visitor centre Scheldeland Living Lab: Steam train Dendermonde-Puurs: volunteers protecting industrial heritage Utsjoki Living Lab: Traces in Utsjoki: inspiring respectful visitor behaviour in nature areas Utsjoki Living Lab: Placemaking as a technique to support meaningful visitor experiences Huesca Living Lab: The Somontano Wine Route: a resilient strategy for Huesca Huesca Living Lab: The Río Vero Cultural Park. From Palaeolithic human history to the present Split Living Lab: Making traditional Easter bread-Sirnica in Solin Split Living Lab: The cultural heritage of Sinj: the story of Alka Vicenza Living Lab: Vicenza: the city of Palladio Vicenza Living Lab: The international library "La Vigna" becomes an open innovation Living Lab

Course attendants will learn how to enrich their scholarly digital edition in the direction of the "distributed edition" with two advanced features: (1) linking to the source document images through IIIF; (2) linking concepts and named entities (including places and persons) to LOD entities They will explore strategies to visualize these features in EVT (Edition Visualization Software).

This catalogue was compiled as part of the MaltaPot project at the University of Malta. This project aims to understand better the nature of the materials used in Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Zebbuġ (Late Neolithic) phases. This catalogue presents sherds from the Għar Dalam and Skorba phases, photographs, microphotographs, and descriptions of sherds and their archaeological contexts. This catalogue was prepared thanks to the information from the National Museum of Archaeology (NMA), Malta, and the FRAGSUS project. The project used multiple techniques to characterise the pottery sherds, such as microscopy, polarised light microscope, X-Ray Fluorescence or X-Ray Diffraction. Although the results of these analyses await publication, this catalogue presents the sherds which were analysed using these destructive techniques to provide comparative material whilst safeguarding information about the characteristics of these sherds which have been partially destroyed. This catalogue was compiled in 2023. Data collection was carried out between 2018-2020 and 2023. This catalogue was compiled in 2023. Data collection was carried out between 2018-2020 and 2023. This document is a PDF document; to access the original photographs and data, please email the authors.

This catalogue was compiled as part of the MaltaPot project at the University of Malta. This project aims to understand better the nature of the materials used in Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Żebbuġ (Late Neolithic) phases. This catalogue presents sherds from the Żebbuġ phase, photographs, microphotographs, and descriptions of sherds and their archaeological contexts. This catalogue was prepared thanks to the information from the National Museum of Archaeology (NMA), Malta, and the FRAGSUS project. The project used multiple techniques to characterise the pottery sherds, such as microscopy, polarised light microscope, X-Ray Fluorescence or X-Ray Diffraction. Although the results of these analyses await publication, this catalogue presents the sherds which were analysed using these destructive techniques to provide comparative material whilst safeguarding information about the characteristics of these sherds which have been partially destroyed. Data collection was carried out between 2018-2020 and 2023. This catalogue was compiled in 2023. This document is a PDF document; to access the original photographs and data, please email the authors.

ELEXIS-WSD is a parallel sense-annotated corpus in which content words (nouns, adjectives, verbs, and adverbs) have been assigned senses. Version 1.1 contains sentences for 10 languages: Bulgarian, Danish, English, Spanish, Estonian, Hungarian, Italian, Dutch, Portuguese, and Slovene. The corpus was compiled by automatically extracting a set of sentences from WikiMatrix (Schwenk et al., 2019), a large open-access collection of parallel sentences derived from Wikipedia, using an automatic approach based on multilingual sentence embeddings. The sentences were manually validated according to specific formal, lexical and semantic criteria (e.g. by removing incorrect punctuation, morphological errors, notes in square brackets and etymological information typically provided in Wikipedia pages). To obtain a satisfying semantic coverage, we filtered out sentences with less than 5 words and less than 2 polysemous words were filtered out. Subsequently, in order to obtain datasets in the other nine target languages, for each selected sentence in English, the corresponding WikiMatrix translation into each of the other languages was retrieved. If no translation was available, the English sentence was translated manually. The resulting corpus is comprised of 2,024 sentences for each language. The sentences were tokenized, lemmatized, and tagged with POS tags using UDPipe v2.6 (https://lindat.mff.cuni.cz/services/udpipe/). Senses were annotated using LexTag (https://elexis.babelscape.com/): each content word (noun, verb, adjective, and adverb) was assigned a sense from among the available senses from the sense inventory selected for the language (see below) or BabelNet. Sense inventories were also updated with new senses during annotation. List of sense inventories BG: Dictionary of Bulgarian DA: DanNet – The Danish WordNet EN: Open English WordNet ES: Spanish Wiktionary ET: The EKI Combined Dictionary of Estonian HU: The Explanatory Dictionary of the Hungarian Language IT: PSC + Italian WordNet NL: Open Dutch WordNet PT: Portuguese Academy Dictionary (DACL) SL: Digital Dictionary Database of Slovene The corpus is available in the CoNLL-U tab-separated format. In order, the columns contain the token ID, its form, its lemma, its UPOS-tag, five empty columns (reserved for e.g. dependency parsing, which is absent from this version), and the final MISC column containing the following: the token's whitespace information (whether the token is followed by a whitespace or not), the ID of the sense assigned to the token, and the index of the multiword expression (if the token is part of an annotated multiword expression). Each language has a separate sense inventory containing all the senses (and their definitions) used for annotation in the corpus. Not all the senses from the sense inventory are necessarily included in the corpus annotations: for instance, all occurrences of the English noun "bank" in the corpus might be annotated with the sense of "financial institution", but the sense inventory also contains the sense "edge of a river" as well as all other possible senses to disambiguate between. For more information, please refer to 00README.txt. Differences to version 1.0: - Several minor errors were fixed (e.g. a typo in one of the Slovene sense IDs). - The corpus was converted to the true CoNLL-U format (as opposed to the CoNLL-U-like format used in v1.0). - An error was fixed that resulted in missing UPOS tags in version 1.0. - The sentences in all corpora now follow the same order (from 1 to 2024).

This collection of photographs was compiled as part of the MaltaPot project at the University of Malta. This project aims to enhance the understanding of pottery technology and provenancein Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Zebbuġ (Late Neolithic) phases. This collection presents sherds from the Skorba phase, photographs, and microphotographs and lists their archaeological contexts and form. This collection was prepared thanks to the information from the National Museum of Archaeology (NMA), Malta, and the FRAGSUS project. The project used multiple techniques to characterise the pottery sherds, such as microscopy, polarised light microscope, X-Ray Fluorescence or X-Ray Diffraction. This collection presents the sherds not analysed using these destructive techniques, although they had a section ground flat for microphotography. Data collection was carried out between 2018-2020 by Dr Brogan. The document was compiled by 2023 Ms Richard-Trémeau. Photographs can be used if credited. This upload contains a PDF document and two zip files with the macroscopic photograph (Exterior surface) and the microphotographs. This upload complements the upload MaltaPot Għar Dalam photograph collection (MPotPhotosGD2023v1); 10.5281/zenodo.7941624

This collection of photographs was compiled as part of the MaltaPot project at the University of Malta. This project aims to enhance the understanding of pottery technology and provenancein Neolithic Malta, mainly dating to the Għar Dalam, Skorba (Early Neolithic), and Zebbuġ (Late Neolithic) phases. This collection presents sherds from the Għar Dalam phase, photographs, and microphotographs and lists their archaeological contexts and form. This collection was prepared thanks to the information from the National Museum of Archaeology (NMA), Malta, and the FRAGSUS project. The project used multiple techniques to characterise the pottery sherds, such as microscopy, polarised light microscope, X-Ray Fluorescence or X-Ray Diffraction. This collection presents the sherds which were not analysed using these destructive techniques, although they had a section ground flat for microphotography. Data collection was carried out between 2018-2020 by Dr Brogan. The document was compiled by 2023 Ms Richard-Trémeau. Photographs can be used if credited. This upload contains a PDF document and two zip files with the macroscopic photograph (Exterior surface) and the microphotographs.

The interviews were part of the Marie Skłodowska-Curie research project “Digital Humanities Laboratory: Studying the Entanglement of Infrastructure and Technology in Knowledge Production”. The project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 891155. The goal of the project was to investigate the mechanism of knowledge production in digital humanities and the influence of infrastructure on social and research practices in a laboratory. It aimed to contribute to understanding these complex processes and the development and improvement of digital humanities infrastructure. A set of interviews were conducted with members of King’s Digital Lab, management staff and researchers involved in the lab work. Discussions revolved around the institutional, research, and socio-technical infrastructure of King’s College London and King’s Digital Lab; the social practices of digital projects; the project lifecycle; the use of digital tools in everyday research practices; and the conditions and challenges of conducting research with regards to the lab management, organisation, location, policies, access to resources, and facilities. These files are the transcripts of the interviews that took place in 2021. Research website: https://dhinfra-org.github.io/