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Data to support the findings included in the Journal paper Elimelech, O. C., Ferrante, S., Josman, N., Meyer, S., Lunardini, F., Gómez-Raja, J., ... & Rosenblum, S. (2022). Technology use characteristics among older adults during the COVID-19 pandemic: A cross-cultural survey. Technology in Society, 71, 102080. These data were collected in the context of the ESSENCE project, and are aimed at understanding technology use characteristics among older adults during the COVID-19 pandemic. Indeed, the ESSENCE project aims at transforming the lessons learnt from the COVID-19 in a huge opportunity that exploits technology toward a deep evolution of the services targeting vulnerable populations: non- or pre-frail seniors (targets of this study), and children of the first years of primary school. To contribute to the public health response in the context of the ongoing epidemic, and preparedness for future emergencies, ESSENCE aims at boosting the creation of a new model of home-based care that relies on stimulation, remote monitoring, tele-assistance, and connection between users, families, and professionals. Indeed, it was important to understand technology usage in the target population. Data were collected from Israel, Spain and France, in a multi-country design. The .PDF file contains the questionnaire. For more details, refer to the journal paper linked to this dataset. The .SAV file is an SPSS file that contains the answers to the questionnaire and their encoding.

Anonymized responses to the ARIADNEplus questionnaire to gather information for the aggregation of metadata about archaelogical resources to be included in the ARIADNEplus Knowledge Base and portal (https://portal.ariadne-infrastructure.eu/). The csv includes only the plain responses as provided by 31 archaelogical content providers until 18 October 2021. The excel file includes also two additional sheets where the responses about the formats and the aggregation update schedule have been normalised. The responses are discussed in deliverable D12.4 "Final report on data integration" currently under preparation.

The study was undertaken in eleven flashed glass samples, provided by LambertsGlas® consisting of a colorless base glass covered by layers of different colors and thicknesses. This dataset consists of images of the samples; Laser-induced Breakdown Spectrocopy (LIBS) spectra; Laser-induced Fluorescence (LIF) spectra; Optical Microscopy (OM) images; UV-Vis-IR spectra and Field Emission Scanning Electron Microscopy (FESEM) images and the assingment of the Energy-dispersive X-ray (EDS) analysis. This information allows characterizing the composition of both sides of the glasses and determining the chemilcal identification of chromophores responsible for the flashed glass coloration. Images are presented in JPG. All spectra are presented in cvs format, in a single page. Descriptions of the samples and the experimental conditions in which the spectra were taken and the name of the column values are included at the top of each page. For LIBS, 1 file per sample of elemental composition of the flashed glasses are included. Each file is composed of 2 columns (wavelength and intensity). For LIF, 1 file per sample of the analysis of fluorescent species of each flashed glass are included. Each file is composed of 2 columns (wavelength and intensity). For UV-Vis-IR spectroscopy, 1 file per sample of glass chromophores, just for the colored side. Each file is composed of 2 columns (wavelength and intensity). For FESEM-EDS, 2 files per sample. In the first one: "PHOTOS", 1 cross section image per sample is included. In the second group of files: "EDS", 1 file per sample of the assignment of the main elements. Each file is composed of 3 columns (the main elements, the results of the glass base and the colored layer in weight percentage, respectively). -- This dataset is subject to a Creative Commons Attribution 4.0 International (CC BY 4.0) License. There are 5 files which correspond to each technic employed for the analysis of the eleven different samples. The file title "PHOTOS" contains: Fig. 1_Flashedglasses_Photo; Fig. 2_OM_Photo. The file title “LIBS” contains: LIBS_Black-Baseglass; LIBS_Black-Coloredlayer; LIBS_Blue1-Baseglass; LIBS_Blue1-Coloredlayer; LIBS_Blue2-Baseglass; LIBS_Blue2-Coloredlayer; LIBS_Blue3-Baseglass; LIBS_Blue3-Coloredlayer; LIBS_Brown1-Baseglass; LIBS_Brown1-Coloredlayer; LIBS_Brown2-Baseglass; LIBS_Brown2-Coloredlayer; LIBS_Green1-Baseglass; LIBS_Green1-Coloredlayer; LIBS_Green2-Baseglass; LIBS_Green2-Coloredlayer; LIBS_Green3-Baseglass; LIBS_Green3-Coloredlayer; LIBS_Pink1-Baseglass; LIBS_Pink1-Coloredlayer; LIBS_Pink2-Baseglass; LIBS_Pink2-Coloredlayer. The file for “LIF” contains: LIF_Black-Baseglass; LIF_Black-Coloredlayer; LIF_Blue1-Baseglass; LIF_Blue1-Coloredlayer; LIF_Blue2-Baseglass; LIF_Blue2-Coloredlayer; LIF_Blue3-Baseglass; LIF_Blue3-Coloredlayer; LIF_Brown1-Baseglass; LIF_Brown1-Coloredlayer; LIF_Brown2-Baseglass; LIF_Brown2-Coloredlayer; LIF_Green1-Baseglass; LIF_Green1-Coloredlayer; LIF_Green2-Baseglass; LIF_Green2-Coloredlayer; LIF_Green3-Baseglass; LIF_Green3-Coloredlayer; LIF_Pink1-Baseglass; LIF_Pink1-Coloredlayer; LIF_Pink2-Baseglass; LIF_Pink2-Coloredlayer. For the “FESEM-EDS” there are two files inside. One title "EDS" which contains the documents: EDS_Black; EDS_Blue1; EDS_Blue2; EDS_Blue3; EDS_Brown1; EDS_Brown2; EDS_Brown2; EDS_Green1; EDS_Green2; EDS_Green3; EDS_Pink1; EDS_Pink2. And the other called "PHOTOS" which contains: FESEM_Black; FESEM_Blue1; FESEM_Blue2; FESEM_Blue3; FESEM_Brown1; FESEM_Brown2; FESEM_Green1; FESEM_Green2; FESEM_Green3; FESEM_Pink1; FESEM_Pink2. This is the experimental dataset used in the paper Appl. Sci., 12(11), 5760 (2022) (https://www.mdpi.com/2076-3417/12/11/5760). Flashed glasses are composed of a base glass and a thin colored layer and have been used since medieval times in stained glass windows. Their study can be challenging because of their complex composition and multilayer structure. In the present work, a set of optical and spectroscopic techniques have been used for the characterization of a representative set of flashed glasses commonly used in the manufacture of stained glass windows. The structural and chemical composition of the pieces were investigated by optical microscopy, field emission scanning electron microscopy-energy dispersive X-ray spectrometry (FESEM-EDS), UV-Vis-IR spectroscopy, laser-induced breakdown spectroscopy (LIBS), and laser-induced fluorescence (LIF). Optical microscopy and FESEM-EDS allowed the determination of the thicknesses of the colored layers, while LIBS, EDS, UV-Vis-IR, and LIF spectroscopies served for elemental, molecular, and chromophores characterization of the base glasses and colored layers. Results obtained using the micro-invasive LIBS technique were compared with those retrieved by the cross-sectional technique FESEM-EDS, which requires sample taking, and showed significant consistency and agreement. In addition, LIBS results revealed the presence of additional elements in the composition of flashed glasses that could not be detected by FESEM-EDS. The combination of UV-Vis-IR and LIF results allowed precise chemical identification of chromophores responsible for the flashed glass coloration. This research has been funded by the Spanish State Research Agency (AEI) through project PID2019-104124RB-I00/AEI/10.13039/501100011033, the Fundación General CSIC (ComFuturo Programme), by project TOP Heritage-CM (S2018/NMT-4372) from Community of Madrid, and by the H2020 European project IPERION HS (Integrated Platform for the European Research Infrastructure ON Heritage Science, GA 871034). Peer reviewed

This dataset contains the underlying data (Augmecon-Py data) for the journal article by Forouli et al., 2022 published in SoftwareX in October 2022.

The data set includes data for anisotropic ice templated collagen scaffold production including temperature and strut orientation data. Data was collected via uCT imaging of ice templated collagen scaffolds. Data was also collected via time dependent thermocouple readings and compression testing. The data set also includes simulation results from a 3D diffusion model of water solidification designed to mimic the experimental set up for ice templating. Data was exported from comsol. SMB and REC gratefully acknowledge the financial support of the British Heart Foundation [Grants NH/11/1/28922, RG/15/4/31268 and SP/15/7/31561] and EPSRC [Grant EP/N019938/1]. JC gratefully acknowledges support from by the Gates Cambridge Trust, 33 Bridge Street, Cambridge, CB2 1UW UK. AH and REC acknowledge support from ERC [Advanced Grant 320598 3D-E].

The digital text of the 13 books of the "Confessiones" by Augustinus is taken from The Latin Library (http://www.thelatinlibrary.com/august.html). The original text was lemmatized and PoS tagged with the UDPipe tool (using the PROIEL trained model). The output of UDPipe was then checked manually at the CIRCSE Research Centre of the Università Cattolica del Sacro Cuore, Milan, Italy. The linking of the text to the Lemma Bank of the LiLa Knowledge Base was performed at CIRCSE, too.

Computational Historical Semantics is a cooperative project involving the universities of Bielefeld, Frankfurt, Regensburg and Tübingen, coordinated at Goethe-University Frankfurt by an interdisciplinary team led by Bernhard Jussen and Alexander Mehler, and funded by the German Federal Ministry for Education and Research. The text database of the project gathers more than 4000 texts spanning from II to XV Century A.D. The section of the database linked to LiLa comprises 5 texts for a total approximately 1 million words.

The project provides the digital edition of the libretti staged for the election of the Council of the Elders in the Republic of Lucca. The celebration, known as funzione delle Tasche, was repeated every three years from 1636 to 1797. The present edition collects the works from 1636 to 1705 in order to analyze changes and recurring motifs throughout the 17th century in a republican context.

Here we publish two single cell datasets for 3D shape reconstruction from 2D microscopy images with a detailed description.