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4,404 results for “digits”
A Genetic Algorithm Approach to Regenerate Image from a Reduce Scaled Image Using Bit Data Count-Figure 3. Data compression and image reconstruction (55:148 Digital Image Processing, 2017)
<p>There are several techniques which are normally divided into two categories lossy and lossless image compressions. In lossy compression, after recovery there are negligible difference present where lossless gives accurate image. Huffman encoding is very well known, which can provide optimal compression and decompression without error (55:148 Digital Image Processing, 2017). The basic idea of Huffman coding is to represent data by number of variable size, where more frequent info being represented by shorter number (55:148 Digital Image Processing, 2017). Currently the Lempel-Ziv (or Lempel-Ziv-Welch, LZW) algorithm for dictionary-based coding has got attention as a better compression algorithm (55:148 Digital Image Processing, 2017).</p>
Abstracts from the Digital Humanities conference in Kraków in 2016 (DH2016)
<p>Abstracts from the Digital Humanities conference in Kraków in 2016 (DH2016).</p>
Abstracts and Metadata from the Digital Humanities Conference 2015 in Sydney (DH2015)
<p>Initial release of abstracts and metadata.</p>
Pyrenean Digital Climate Atlas (PDCA)
<p>Digital long-term topoclimate maps of the Pyrenees for the period 1950-2012 are elaborated by integrating meteorological station data, high-quality terrain information (altitude, latitude, distance to the sea and solar potential radiation) and multivariate geostatistical modelling in a Geographical Information System (GIS). The cartographic dataset, in monthly, seasonal and annual temporal resolutions, consists of: 1) climate maps of the air mean temperature (minimum, mean and maximum) and precipitation 2) maps of potential evapotranspiration (PET) and water availability, based on Thornthwaite and derived from the temperature and precipitation layers 3) map of the growing degree-days (GDD), with a monthly approach 4) maps of potential solar radiation. The Atlas is available in GeoTIFF format and metadata are provided in XML standard format (ISO 19139). The methodological details and related information are described in Batalla M, Ninyerola M, Catalan J [Geosci. Data J. 5 (2018)].</p>
Enhanced Dataset of Digitized Screen-film Mammograms of African Descent
<p>This dataset presents the enhanced version of digitized Screen-film Mammograms of African Descent. It contains mamographic images of 78 African cancer patients</p>
Digital Scholarship services and supports - an overview from Irish Research and National Libraries - Data with Comments
<p>This dataset contains survey data with comments (cleaned, direct references to institutions removed) and broken down by survey question sections. Some of the data has been converted to counts where it was used to generate the charts.</p> <p>The data is the output of a 2018 CONUL (Ireland’s consortium of research and national libraries) survey focusing on Digital Scholarship services and supports from a Irish Research and National Library perspective.</p>
Supplements to "Digital traces of climate risks: assessing the communication impact of Paris resilience strategy".
<p>These supplements correspond the data used in the PhD thesis : “Digital traces of climate risks: assessing the impact of Paris resilience strategy”, published in 2019 on <a href="http://theses.fr/">theses.fr</a> by Rosa Vicari (HM&Co - École des Ponts ParisTech), under the supervision of Daniel Schertzer (HM&Co - École des Ponts ParisTech).</p> <p>More precisely the data set corresponds to the corpora and term lists that are used in the analysis (based on advanced text mining and graph representation) of press articles and tweets concerning flood events in France and strategic documents released by public authorities.</p> <p>The dataset includes the following files:</p> <p>- Suppl2-2016Parisflood-termlist.csv : the list of terms extracted from the corpus of press articles covering the 2016 Seine River flood.</p> <p>- Suppl6-Cotedazflood-termlist.csv: the list of terms extracted from the corpus of press articles covering the 2015 Côte-d'Azur flood.</p> <p>- Suppl7-Corpus-PA-Strategies.csv : the corpus of strategic documents released by public authorities to cope with flood risk in Paris.</p> <p>- Suppl8-Term-list-PA-Strategies.csv : the list of terms extracted from the corpus of strategic documents released by public authorities to cope with flood risk in Paris (2003 - 2017).</p> <p>The following files are not available and cannot be shared for copyright reasons:</p> <p>- Suppl1-2016Parisflood-corpus.csv : the corpus of press articles covering the 2016 Seine River flood.</p> <p>- Suppl3-2018Parisflood-corpus.csv : the corpus of press articles covering the 2018 Seine River flood.</p> <p>- Suppl5-Cotedazflood-corpus.csv : the corpus of press articles covering the 2015 Côte-d'Azur flood.</p> <p>The following file is not available and cannot be shared for privacy reasons:</p> <p>- Suppl4 - Tweet corpus - 2016 Paris flood.csv : the corpus of tweets covering the 2016 Seine River flood.</p>
Extracted Illustrations of the Berlin State Library's Digitized Collections (part 4 of 4)
<p><strong>This is part 4 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre> <p>The dataset consists of various illustrations extracted from 26,233 historical books and other media offered in the Berlin State Library's Digitized Collections. The media objects are older than 1920.</p> <p>Version 1.0 contains of 594,890 extracted illustrations in total.</p> <p>The extraction of illustrations is driven by the coordinates given by the ABBYY FineReader OCR engine (in ALTO XML) . The extracted illustrations have not been resized but compressed and saved in JPEG format.</p> <p>Pre-trained models in order to separate color scales, hand-written signatures, library stamps or the like from interesting content are available under: <a href="https://github.com/elektrobohemian/imi-unicorns">https://github.com/elektrobohemian/imi-unicorns</a>.</p> <p>The extracts for each media object are stored in separated sub-folders and tar files named after the PPN (a unique ID used in the library) to facilitate further processing. Additional metadata can be obtained with help of the PPN as described here: <a href="https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md">https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md</a> .</p> <p>The dataset is published as a set of ZIP files, each fitting on a Blu Ray disc. <strong>After decompression, the contents will consume ca. 166 GB.</strong></p> <p><strong>This is part 4 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre>
Extracted Illustrations of the Berlin State Library's Digitized Collections (part 3 of 4)
<p><strong>This is part 3 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre> <p>The dataset consists of various illustrations extracted from 26,233 historical books and other media offered in the Berlin State Library's Digitized Collections. The media objects are older than 1920.</p> <p>Version 1.0 contains of 594,890 extracted illustrations in total.</p> <p>The extraction of illustrations is driven by the coordinates given by the ABBYY FineReader OCR engine (in ALTO XML) . The extracted illustrations have not been resized but compressed and saved in JPEG format.</p> <p>Pre-trained models in order to separate color scales, hand-written signatures, library stamps or the like from interesting content are available under: <a href="https://github.com/elektrobohemian/imi-unicorns">https://github.com/elektrobohemian/imi-unicorns</a>.</p> <p>The extracts for each media object are stored in separated sub-folders and tar files named after the PPN (a unique ID used in the library) to facilitate further processing. Additional metadata can be obtained with help of the PPN as described here: <a href="https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md">https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md</a> .</p> <p>The dataset is published as a set of ZIP files, each fitting on a Blu Ray disc. <strong>After decompression, the contents will consume ca. 166 GB.</strong></p> <p><strong>This is part 3 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre>
Extracted Illustrations of the Berlin State Library's Digitized Collections (part 2 of 4)
<p><strong>This is part 2 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre> <p>The dataset consists of various illustrations extracted from 26,233 historical books and other media offered in the Berlin State Library's Digitized Collections. The media objects are older than 1920.</p> <p>Version 1.0 contains of 594,890 extracted illustrations in total.</p> <p>The extraction of illustrations is driven by the coordinates given by the ABBYY FineReader OCR engine (in ALTO XML) . The extracted illustrations have not been resized but compressed and saved in JPEG format.</p> <p>Pre-trained models in order to separate color scales, hand-written signatures, library stamps or the like from interesting content are available under: <a href="https://github.com/elektrobohemian/imi-unicorns">https://github.com/elektrobohemian/imi-unicorns</a>.</p> <p>The extracts for each media object are stored in separated sub-folders and tar files named after the PPN (a unique ID used in the library) to facilitate further processing. Additional metadata can be obtained with help of the PPN as described here: <a href="https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md">https://github.com/elektrobohemian/StabiHacks/blob/master/ppn-howto.md</a> .</p> <p>The dataset is published as a set of ZIP files, each fitting on a Blu Ray disc. <strong>After decompression, the contents will consume ca. 166 GB.</strong></p> <p><strong>This is part 2 of 4. The following dataset contains a reference the other ZIP files: </strong></p> <pre>https://doi.org/10.5281/zenodo.2598101</pre>
Anterior, lateral, and posterior aspects of the mounted skeleton of Tyrannosaurus rex, chiefly from Amer. Mus. 5027, partly from the type specimen Amer. Mus. 973. The sternal ribs are not restored. The structure of the manus is unknown as yet; the restoration of the digits is conjectural. About natural size. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Anterior, lateral, and posterior aspects of the mounted skeleton of Tyrannosaurus rex, chiefly from Amer. Mus. 5027, partly from the type specimen Amer. Mus. 973. The sternal ribs are not restored. The structure of the manus is unknown as yet; the restoration of the digits is conjectural. About natural size.
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Skeleton of Struthiomimus altus. Genotype specimen, Amer. Mus. 5339. One-tenth natural size In this panel mount the animal is placed approximately as found. The pollex is too closely appressed to the other digits, see Fig. 3.
arabic-digital-humanities/root-extraction-validation-data: 0.1.0
<p>Dataset for evaluating root extraction</p> <p>This dataset contains data to evaluate the roots extracted by Arabic stemmers and morphological analyzers.</p> <p>The dataset was created in the context of the <a href="https://www.esciencecenter.nl/project/bridging-the-gap">Bridging the Gap project</a>.</p> <p>The <code>txt</code> directory contains the text files for which roots were extracted, and <code>gs</code> contains csv files with columns <code>word</code> and <code>root</code>, containing the words from the text and the manually corrected roots. If multiple roots apply, they have been separated using a backslash (<code>\</code>). If the word is a letter, the root is <code>#</code>.</p> <p>The text files have been analyzed using <a href="http://arabic.emi.ac.ma/safar/">SAFAR</a>, using <a href="https://github.com/arabic-digital-humanities/research-scripts">our software</a>. The directories <code>khoja</code>, <code>isri</code>, and <code>alkhalil</code> contain the output xml files.</p> <p>License</p> <p> </p> <p>The data in this repository is licensed under a <a href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.</p> <ul> <li>The text fragments have been taken from the <a href="https://alraqmiyyat.github.io/OpenITI/">OpenITI project</a>.</li> <li>The stopword list was created by Maksim Abdul Latif.</li> </ul>
Opening of the 10th European Summer University in Digital Humanities "Culture & Technology"
<p>Welcoming by the Vice-Rector for Research and Young Scholars of the University of Leipzig, Prof. Dr. Erich Schröger.</p> <p>Handing over of the certificates to scholarship, fellowship and bursary winners by Elisabeth Burr et al.</p> <p>Introduction into the programme and philosophy of the European Summer University in Digital Humanities "Culture & Technology" by Elisabeth Burr</p>
Towards a critique of digital reason
<p>Opening Lecture of the 10th European Summer University in Digital Humanities "Culture & Technology" 2019</p>
Digital Humanities - A diverse field
<p>During the first Project Presentation Session on <strong>Wednesday 24.07.2019</strong> 14:15 - 15:45 the following 3 projects were presented:</p> <ul> <li><strong>Emma Elizabeth Goodwin</strong> (University of Oxford, Great Britain): "A social machine for transcribing the Song of the First Crusade"</li> <li><strong>Lars Langer</strong> (Leipzig University, Germany): "Quantifying Nature's Contribution to Communication (NCC)"</li> <li><strong>Patience Haggin</strong> (Independent, United States of America): "<em>Zeno's Conscience</em>: Three English Translations of Italo Svevo's <em>Coscienza di Zeno</em>?"</li> </ul>
Reconstruction of the skeletons of Struthiomimus altus (left) and Ornitholestes hermanni (right). Struthiomimus 1/10, Ornitholestes 1/6 natural size, The Ornitholestes restoration replaces the original restoration by Osborn in 1903 which is very faulty. The Struthiomimus, Amer. Mus. 5339, mount has the distal end of the tail restored from Amer. Mus. 5355; dotted vertebra from Amer. Mus. 5262, In both restorations the pollex is too closely appressed to the other digits, see Fig. 3. in Skeletal Adaptations of Ornitholestes, Struthiomimus, Tyrannosaurus
Reconstruction of the skeletons of Struthiomimus altus (left) and Ornitholestes hermanni (right). Struthiomimus 1/10, Ornitholestes 1/6 natural size, The Ornitholestes restoration replaces the original restoration by Osborn in 1903 which is very faulty. The Struthiomimus, Amer. Mus. 5339, mount has the distal end of the tail restored from Amer. Mus. 5355; dotted vertebra from Amer. Mus. 5262, In both restorations the pollex is too closely appressed to the other digits, see Fig. 3.
Digital Attachment: PhD Thesis Fiona Rochholz, Univ. Bremen, MARUM
<p>Digital Attachment for PhD Thesis by Fiona Rochholz, submitted September 2019 at University of Bremen, Germany.</p> <p>Please contact author for additional questions.</p>
Tweet IDs for the #brexit tweet dataset collected for the Helsinki Digital Humanities Hackathon 2019
<p>This dataset contains lists of tweet ids for the tweets used as material by the "Brexit in Transna­tional So­cial Me­dia" group in the <a href="http://heldig.fi/dhh19/">Helsinki Digital Humanities Hackathon 2019</a>.</p> <p>Due to restrictions in Twitter's terms of service, the full tweet dataset cannot be made public. However, Twitter allows the publication of tweet ids, from which the dataset can be reconstituted, <em>with the exception of deleted tweets</em>.</p> <p>The dataset was gathered as follows: Between 2019-01-22T09:19Z and 2019-04-15T14:42Z, a <a href="https://github.com/DocNow/twarc">Twarc</a> version 1.6.1 script was called hourly to retrieve and archive tweets from Twitter matching the #brexit hashtag using the Twitter search API. All 5,547,585 tweet IDs returned by this run are listed in the file <code>original_ids.txt.gz</code>.</p> <p>However, upon further inspection, problems were identified in the archiving. For an unidentified reason, gathering did not occur between 2019-02-13T06:17Z and 2019-02-26T09:24Z. In addition, the Twarc script had been run without the <code>--extended</code> argument, so the tweet data contained only truncated contents for many tweets.</p> <p>Due to this, a decision was taken to rehydrate a new dataset of tweets falling between 2019-02-26T09:24Z and 2019-04-15T14:42Z. Of the original 4,197,059 tweets gathered for this time period (listed in <code>continuous_ids.txt</code>), 3,941,653 could be rehydrated (i.e., they had not been deleted in the interim). The ids of tweets in this dataset are listed in the file <code>continuous_rehydrated_ids.txt</code>.</p> <p>Finally, out of these rehydrated tweets, a subset was derived that filtered out all tweets that were pure retweets. This subset consisted of 1,104,514 tweets, whose ids are listed in the file <code>continuous_rehydrated_no_retweets_ids.txt</code>.</p>
Wikidata's linked data for cultural heritage digital resources: an evaluation based on the Europeana Data Model
<p>Wikidata is an open data source with many potential applications. Our study aims to evaluate the usability of Wikidata as a linked data source for acquiring richer descriptions of digital objects within the context of Europeana, a data aggregator from the cultural heritage domain. Specifically, we aim to crawl and convert Wikidata using the standard approaches and operations developed for the (Semantic) Web of Data, i.e. using technologies like linked data consumption and RDF(S)/OWL ontology expression and reasoning. We also seek to re-use existing “semantic” specifications, such as conversions to and from generic data models like Schema.org and SKOS. We have developed an experimental set-up and accompanying software to test the feasibility of this approach. We conclude that Wikidata’s linked data is able to express an interesting level of semantics for cultural heritage, but quality can still be improved and a human operator still must assist linked data applications to interpret Wikidata’s RDF.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.