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ShareScore release 0.9.0
Dataset results
7 results for “digital documents”
Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021" by Carl Tape and Anthony Lomax: Parts B, C, and D
<p>These files support a manuscript to be submitted entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021," by Carl Tape and Anthony Lomax. This collection contains Parts B, C, and D. A separate collection contains Part A. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.</p>
PSM-AP Comparative document analysis data: Priorities and challenges in the policy and digital strategies of ten PSM
<p>The document consists of a list of 61 key policy and strategy documents analysed as part of the comparative work conducted in WP1 of the project Public Service Media in the Age of Platforms (PSM-AP). It also contains a series of selected quotes supporting the three key areas prioritised by the policies and PSM digital strategies: People (reaching audiences), Personalisation (developing the video-on-demand portal), and Prominence (of PSM services and content). The data was collected and analysed in 2023, from documents concerning 10 PSM organisations in seven media markets: Belgium-Flanders (VRT), Belgium-Wallonia Brussels (RTBF), Canada (CBC/Radio-Canada), Denmark (DR, TV 2) Italy (RAI), Poland (TVP), and the UK (BBC, Channel 4, ITV). All quotes were translated to English by the authors.</p>
Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021" by Carl Tape and Anthony Lomax: Part A
<p>These files support a paper entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021," by Carl Tape and Anthony Lomax, published in Journal of Geophysical Research Solid Earth. This collection contains Part A. A separate collection contains Parts, B, C, and D. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.</p>
TexBiG Dataset for Analysing Complex Document Layouts in the Digital Humanities
<p>This is the dataset for the paper "A Dataset for Analysing Complex Document Layouts in the Digital Humanities and its Evaluation with Krippendorff ’s Alpha" in its second version, containing an update of the test images (without annotations) from the paper "Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels". Organization of the dataset is also updated to make it easier to use.</p> <p>TexBiG (from the German Text-Bild-Gefüge, meaning Text-Image-Structure) is a document layout analysis dataset for historical documents in the late 19th and early 20th century. The dataset provides instance segmentation (bounding boxes and polygons/masks) annotations for 19 different classes with more then 52.000 instances. The added test images can be used to make submission on the leaderboard on <a href="https://eval.ai/web/challenges/challenge-page/2078/overview">EvalAI</a>. </p> <p>The <a href="https://zenodo.org/record/6885144/files/Annotations_Guideline.pdf?download=1">annotation guideline</a> can be found in the first of the dataset.</p>
Digital Humanities, the African Perspective? Insight from Language Documentation
<p>5th lecture</p>
An Empirical Comparative Study of Convolutional Neural Network and Support Vector Machine in Digital Signature for Digital Document Authentication
<p>Dataset dan figure of the research</p>
Impact of Digital Ambient EXperience on Pediatric Subspecialist Documentation Burden
ClinicalTrials.gov study NCT06812234. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.