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    4926 research outputs found

    Generative Inpainting for Palimpsests: Background and Results

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    “Generative Inpainting for Palimpsests: Background and Results”, Manuscript Cultures in the Caucasus, Hamburg

    Computational Visual Catalogue (CVC) - Rilke's notebooks - Full CVCs

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    This is the complete set of our generated Computational Visual Catalogue (CVC) for Rilke's notebooks (a total of 56 notebooks). The images are notebook pages of Rainer Maria Rilke, from the Deutsche Literaturarchiv Marbach (DLA), A:Rilke-Archiv Gernsbach. The JSON files are computationally generated using several AI models and contains information automatically extracted from the images about various visual properties of text, such as word location, colour, orientation, and the used writing implement. The structure of the JSON files is as follows: Root (object) ├─ info (object) │ ├─ description : string │ ├─ contributor : string │ ├─ version : string │ ├─ year : integer │ └─ date_created : string # "YYYY-MM-DD" │ ├─ images (array of object) │ └─ [image] (object) │ ├─ id : integer │ ├─ file_name : string │ ├─ width : integer │ └─ height : integer │ └─ annotations (array of object) └─ [annotation] (object) ├─ id : integer ├─ image_id : integer ├─ category_id : integer ├─ bbox : array of 4 numbers # [x, y, width, height] ├─ area : number # float ├─ segmentation : array of array of number # [[x1, y1, x2, y2, …]] ├─ iscrowd : integer # 0 or 1 ├─ score : number # float ├─ color_name : string ├─ color_code : string # e.g. "145-144-122" ├─ orientation : string # e.g. "hor" or "ver" └─ writing_tool : string # e.g. "pcl" See ScriptSight tool for examples of how this computational visual catalogue can be used. Acknowledgements: The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg. The images are offered by the Deutsche Literaturarchiv Marbach (DLA) as a part of their collaboration with the CSMC

    Computational Visual Catalogue (CVC) - Rilke's notebooks - Full CVCs

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    This is the complete set of our generated Computational Visual Catalogue (CVC) for Rilke's notebooks (a total of 56 notebooks). The images are notebook pages of Rainer Maria Rilke, from the Deutsche Literaturarchiv Marbach (DLA), A:Rilke-Archiv Gernsbach. The JSON files are computationally generated using several AI models and contains information automatically extracted from the images about various visual properties of text, such as word location, colour, orientation, and the used writing implement. The structure of the JSON files is as follows: Root (object) ├─ info (object) │ ├─ description : string │ ├─ contributor : string │ ├─ version : string │ ├─ year : integer │ └─ date_created : string # "YYYY-MM-DD" │ ├─ images (array of object) │ └─ [image] (object) │ ├─ id : integer │ ├─ file_name : string │ ├─ width : integer │ └─ height : integer │ └─ annotations (array of object) └─ [annotation] (object) ├─ id : integer ├─ image_id : integer ├─ category_id : integer ├─ bbox : array of 4 numbers # [x, y, width, height] ├─ area : number # float ├─ segmentation : array of array of number # [[x1, y1, x2, y2, …]] ├─ iscrowd : integer # 0 or 1 ├─ score : number # float ├─ color_name : string ├─ color_code : string # e.g. "145-144-122" ├─ orientation : string # e.g. "hor" or "ver" └─ writing_tool : string # e.g. "pcl" See ScriptSight tool for examples of how this computational visual catalogue can be used. Acknowledgements: The research for this work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg. The images are offered by the Deutsche Literaturarchiv Marbach (DLA) as a part of their collaboration with the CSMC

    The Influence of global Crises on Acceptance of Autocracy in Germany. Paper presented at the 25th Annual Conference of the European Society of Criminology, September 3-6, 2025 in Athens (Greece)

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    This paper investigates how global conflicts and crises influence public attitudes toward democracy in Germany, particularly fears related to war, climate change, and migration. As part of the study "People in Germany: International", online surveys are conducted every two to three months. Our data tracks how perceptions of societal challenges and associated concerns shape attitudes toward democracy over time. A new measurement is used to gauge acceptance of autocracy, defined by the rejection of democratic norms like open debate and parliamentary oversight, and support for more authoritarian leadership. Results indicate that about 30% of the German population exhibits some level of autocracy acceptance, with variations across political affiliations—from 14.8% among Green Party voters to 50.1% among AfD (a far right party) supporters. Acceptance of autocracy is not confined to right-wing or lower-educated groups but spans various social demographics. Concerns over access to necessities—housing, energy, work, and food—aggravated by fears of war, climate change, or migration, increase the likelihood of supporting autocracy. Those who view political leaders as incompetent are even more inclined toward authoritarian preferences

    Dataset for the article 'From Fragments to Text and Ink: A Scientific and Historical Study of an Umayyad Qurʾān'

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    This is the dataset corresponds to the research article 'From Fragments to Text and Ink: A Scientific and Historical Study of an Umayyad Qurʾān'. The article is published in npj Heritage Science as Sathiyamani, S., Fedeli, A., Marotta, G., Colini, C., 2025. From fragments to text and ink: a scientific and historical study of an Umayyad Qur’ān. npj Herit. Sci. 13, 478. https://doi.org/10.1038/s40494-025-02028-8 This dataset contains: 00_ preview image for illustration purposes 1. Analytical protocol for the three fragments (labelled, separately, Hs. 15a, b and c) 2. Reflectography data (labelled dino), featuring images acquired under UV (350 nm), Visible and Infrared (940 nm) illumination 3. XRF data for measurements carried out with Bruker Elio (40kV, 80 μA, 120s) and Bruker M6 Jetstream (50kV, 600 μA) 4. FTIR data for measurements carried out with Bruker Alpha II 5. Raman spectroscopy measurement carried out using a Renishaw inVia Raman spectrometer equipped with a 100 mW 532 nm laser and a 300 mW 785 nm laser and with a 100x objective. 6. The parameters file describes the measuring conditions used. The description of results as well as the corresponding origin file can be found in the respective folder of the technique used. The data labelling follows the CSMC Artefact Profiling Lab Standardised System for the Labelling of Analytical Data (https://doi.org/10.25592/uhhfdm.14853

    Multispectral Imaging Data of Torah scroll "Vat. Ebr. 2" captured at Biblioteca Apostolica Vaticana

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    This multispectral data of the Torah scroll "Vat. Ebr 2" was captured at the Biblioteca Apostolica Vaticana in June 2023. The goal of the imaging session was to visualize reinked letters, corrections and other otherwise invisible features of the scroll. The MSI images are intended to help choose smaller areas and spots for measurements with XRF, Raman or FTIR. Additionally, they provide information about the conservation condition, for example displaying levels of mold damage. The scroll was previously digitized in great resolution from both sides. Link to digitized scroll (Biblioteca Apostolica Vaticana) In this MSI campaign only the text side of the scroll was imaged. The MSI campaign was co-organised by the Biblioteca Apostolica Vaticana, the Centre for the Study of Manuscript Cultures (CSMC), the Bundesanstalt für Materialforschung und -prüfung (BAM). Imaging was carried out using the CSMC MegaVision multispectral imaging system. The MSI system was operated by the CSMC staff, the scroll was handled by the staff of the Vatican Library digitization and conservation departments. (See contributors) Preview JPEGs in sRGB color space are compressed and of lower quality and are only intended for quick previewing. Original, high quality, CIELAB TIF images can be found in the PROCESSED folders within each ZIP file. Each uploaded ZIP file contains the flattened, processed and color images for a single sheet of the scroll. Raw images are not included in this dataset simply for size reduction purposes. Raw images are stored internally on the servers of CSMC and, if necessary, can be separately accessed upon a reasonable request. For information about filenames and folder structure as well as MSI system, please see the files in the "info" folder and read the Brief Descriptions of Multispectral Imaging (MSI) Datasets. Image processing was performed with Hoku image processing software. In each processed folder there are 6 images. A visible light color image called "PSC", an image highlighting the reinking called "Reinking", an image highlighting the texture called "Texture", an image showing the mold damage on sheets where mold is present called "Mold", as well as two pseudocolor images called "UVB_Composite" showing fluorescing materials present on the sheets and a "Pseudocolor" image which color-codes the reinking in blue and red for better visibility and as an alternative to the greyscale "Reinking" image

    X-Ray Fluorescence and Reflectography Data from Hamburg, Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, P. graec. 184.I

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    XRF (Bruker M6 JetStream: 50kV, 600 µA, maps with 150-200 µm steps and 22-30 ms per pixel), infrared reflectography (Osiris Apollo infrared camera, 150 mm, f/5.6/f/45 lens, 1510 nm long-wave pass filter) and reflectography (DinoLite AD4113T-I2V: x40 magnification, vis, NIR ~940 nm and UV ~395 nm light) analysis of inks from P. graec. 184 I from the Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky. P. graec. 184 I (P. Hamb. I 39, Tm 44371, Rom. Mil. Rec. 1.76_44-45) is a fragment of a 4,33 m long roll with receipts for faenarium (payments for hay) for Roman soldiers of the ala veterana Gallica. The inks are carbon-based, containing various amounts of copper (Cu). The results of the analysis were published in Bonnerot, Olivier, and Leah Mascia. “Scribes and Writing Practices in Egypt’s Ala Veterana Gallica: A Preliminary Study of Inks from a Military Roll.” In 2023 IMEKO TC-4 International Conference on Metrology for Archaeology and Cultural Heritage. Rom (Italy), October 19-21 2023, 2:845–50. Rome (Italy): International Measurement Confederation (IMEKO), 2023. https://imeko.org/publications/tc4-Archaeo-2023/IMEKO-MetroArchaeo-2023-157.pdf 00_P graec 184 I_Preview.jpg - photo taken during analysis of the papyrus, for illustration purpose P graec 184 I_IRR.zip - complete infrared reflectography dataset P graec 184 I_reflectography.zip - complete reflectography dataset P graec 184 I_XRF.zip - completeX-ray fluorescence dataset PGr184I_Protocol.pptx - analytical protoco

    Guidelines für die Annotation von Textsorten im DE-Lite-Korpus

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    Die Guidelines beschreiben das Vorgehen bei der Annotation von Textsorten im DE-Lite-Korpus (vgl. Jablotschkin et al. 2024). These guidelines describe the procedure of text genre annotation in the DE-Lite corpus (cf. Jablotschkin et al. 2024)

    Heydesh - The giant white bull (Datooga)

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    This is a test bundle installed to serve as a model in the reviewing process of the project “Tanzanian Rift Valley languages and cultures: documentary infrastructures, digital linguistics, local repatriation (TRiVLaC)”

    Landsat-1 Multispectral Scanner surface type over water from supervised classification of surface broadband albedo estimates

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    Abstract: In the framework of the European Space Agency (ESA) Climate Change Initiative (CCI+) sea ice essential climate variable (ECV) project phase 2, Landsat-1 Multispectral Scanner (MSS) images were obtained from https://earthexplorer.usgs.gov/ for both hemispheres with the purpose to evaluate the ESA CCI+ Nimbus-5 Electrically Scanning Microwave Radiometer (ESMR) sea-ice concentration data product v1.1. From these Landsat-1 MSS images surface broadband albedo values were estimated based on channels 4 to 7 (mostly 4, 5, and 7). Secondly, a supervised classification was employed, classifying the broadband albedo maps into open water, thin/bare ice, and thick/snow-covered ice using simple threshold values selected based on visual manual interpretation of the images. Thresholds used for this classification are provided in the metadata txt-file along with the data. MSS images have been pre-processed and quality assessed as much as possible to avoid artefacts from missing and/or corrupt scanlines and clouds or cloud shadows. TableOfContents: surface type flag (100: open water, 150: thin or bare sea ice, 200: thick or snow-covered ice, 255: land, missing data, or clouds) Technical Info: dimensions actual: variable, depends on how the Landsat scene fits into a rectangular bounding box determined by the minimum and maximum values of latitude and longitude of each scene, something around 4000 columns x 4000 rows; temporalExtent_startDate: 1974-03-11; temporalExtent_endDate: 1974-09-08; temporalResolution: ~28 s / image; spatialResolution: 60; spatialResolutionUnit: meters; horizontalResolutionXdirection: 60; horizontalResolutionXdirectionUnit: meters; horizontalResolutionYdirection: 60; horizontalResolutionYdirectionUnit: meters; verticalResolution: none; verticalResolutionUnit: none; verticalStart: none; verticalEnd: none; instrumentName: Landsat-1: Multispectral Scanner (MSS); instrumentType: optical sensor; instrumentLocation: Landsat-1; instrumentProvider: NASA Methods: [1] ESA CCI sea ice ecv project phase 2 product validation and intercomparison report for sea-ice concentration: D4.1_SICCI_P2_PVIR-SIC_Issue_1.1.pdf (chapter 3.3); [2] Koepke, P., Removal of Atmospheric Effects from AVHRR albedos, J. Appl. Meteorol., 28, 1341-1348, 1989; [3] Chander, G., Markham, B. L., and Helder, D. L.: Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Rem. Sens. Environ. 113, 893-903, https://doi.10.1016/j.rse.2009.01.007, 2009; [4] Metadata file containing thresholds for open water - thin/bare ice and thin/bare ice - thick/snow covered ice discrimination, the sun elevation angle and the used channels for 1974: 1974_NH_settings.txt Units: 1 geoLocations: Northern Hemisphere: westBoundLongitude: -180.0 degrees East; eastBoundLongitude: 180.0 degrees East; southBoundLatitude: 50.0 degrees North; northBoundLatitude: 90.0 degrees North; geoLocationPlace: Northern Hemisphere over water Size: (files are packed into one zip-file per year) Northern Hemisphere: 50 files in total for 1974; 19.1 Gbyte (zipped: 12.0Gbyte) Format: netCDF DataSources: https://earthexplorer.usgs.gov/ [last access: 2025-09-01] Contact: stefan.kern (at) uni-hamburg.d

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