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464 results for “Styles”
Instructor Perspectives on APA Style in Nursing Education: Implicit and Explicit Value
<p><strong>OBJECTIVE:</strong> Disparities in how nursing faculty teach APA Style can confuse students and the librarians who help them. To clarify faculty expectations of and approaches to APA </p><p>Style, this study seeks to answer the following questions: (1) What do nursing faculty perceive as the impact or value of APA Style? (2) How do nursing faculty teach and grade APA Style? By revealing the unspoken assumptions about APA Style and the value it adds to nursing education, it is hoped that health sciences librarians can more intentionally and effectively support this aspect of the nursing curriculum.</p><p><strong>METHODS: </strong>A mixed-methods study was designed to investigate potential gaps between nursing instructors' expectations for APA and their teaching/grading practices. The study incorporated an online survey of 75 nursing faculty at 14 Carnegie institutions with nursing programs, as well as qualitative interviews with 12 faculty at those institutions. A grounded theory approach was used to uncover salient themes.</p><p><strong>RESULTS:</strong> Nursing instructors consistently emphasized the importance of APA for referencing/in-text citations in both the survey and the interviews. When discussing the value of APA Style in nursing education, interviewees stressed APA Style as essential in developing professional nursing communication skills and evidence-based practice. However, faculty expectations for students' APA skills were not in line with their teaching and grading practices.</p><p><strong>CONCLUSION:</strong> Given the wide range of reporting teaching and grading practices for APA Style, nursing programs should work to clarify expectations for APA Style, and standardize how it is taught.</p>
Synthetic Dataset of Citation Strings in 12 Styles
<p>This dataset was produced in the aim of testing different tools for citation string parsing, as part of the experiment reported in the paper:</p> <blockquote> <p>Iana Atanassova and Marc Bertin, 2024. "Breaking Boundaries in Citation Parsing: A Comparative Study of Generative LLMs and Traditional Out-of-the-box Citation Parsers", Bibliometric-enhanced Information Retrieval workshop (BIR), collocated with ECIR 2024, Glasgow, Scotland. </p> </blockquote> <h2><br>Data</h2> <p>The data that is provided here is organised as follows:</p> <ul> <li>the file <strong>citation-strings.zip</strong> contains raw citation strings that were generated for each of the 12 citation styles in txt format</li> <li>the file <strong>parsers-output.csv</strong> contains the output that was produced from the parsers: ChatGPT, Llama, and Neural ParsCit</li> </ul> <h2><br>To cite this work</h2> <p>To use this dataset and/or the results produced in the experiment, please cite the following article:</p> <blockquote> <p>@inproceedings{atanassova2024citparse,<br> title = {{Breaking Boundaries in Citation Parsing: A Comparative Study of Generative LLMs and Traditional Out-of-the-box Citation Parsers}}, <br> author = {Iana Atanassova and Marc Bertin},<br> year = {2024},<br> booktitle = {{International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2024) co-located with the 46\textsuperscript{st} European Conference on Information Retrieval (ECIR 2024)}},<br> address = {Glasgow, Scotland}<br>}</p> </blockquote> <h3>Authors information</h3> <ul> <li>Iana Atanassova, ORCID https://orcid.org/0000-0003-3571-4006 URL https://iana-atanassova.github.io/</li> <li>Marc Bertin, ORCID https://orcid.org/0000-0003-1803-6952 URL https://elico-recherche.msh-lse.fr/membres/marc-bertin</li> </ul> <h3>Related github repository</h3> <p>https://github.com/iana-atanassova/citation-parsers-bir2024.git </p>
EEG: Continuous gameplay of an 8-bit style video game
Open the record for dataset details and reuse information.
MPS Data set with images of medieval charters for handwriting-style based dating of manuscripts
<pre>The MPS benchmark data set for handwritten manuscript dating ____________________________________________________________ This data set is collected for the Dutch NWO project: Medieval Paleographical Scale (MPS) by Petros Samara Project website: http://application02.target.rug.nl/monk/Projects/MPS/ Copyright (c) Huygensinstituut, Den Haag, 2016 University of Groningen, 2016. All rights reserved. Organisation of the data: Each .tar.gz file contains a number of NetPBM images. The format is chosen because of its simplicity. Also, there is no doubt about lossy compression in the processing chain. The file names are of the format 'MPS<year>_<seqnr>.ppm', for example, 'MPS1300_0056.ppm'. Note: the files are not in a separate directory, they will be extracted in place. However, due to the unique naming, there is no problem extracting them in one single current (destination) directory. The actual type of the image can be gray scale (.pgm) or color (.ppm), in '8-bit DirectClass' according to ImageMagick's 'identify' tool. The images were cropped out of larger photographs because of irrelevant elements such as a Kodak color calibrator and non-text content such as supporting surface (table) backgrounds, seals (emblems), ribbons, etc. No effort has been made to obtain a balanced set of samples over years: the given frequencies of occurrence in archives are used. There is evidently less data in years before 1375 A.D. while some periods provides us with ample data for historical reasons (e.g, 1450 A.D.). It would have been a pity if the scarce years had determined and limited the size of this data set. Selection criteria for data reduction, whether random or systematic, would have been arbitrary. In any case, these images were used in our publications, such that the performance results of future attempts on manuscript dating can be compared with earlier results. The performances that have been reached using our algorithms are in the order of an MAE (mean average error) of 10 years. If you have any questions, please contact us: Sheng He (heshengxgd@gmail.com) Petros Samara (petros.samara@huygens.knaw.nl) Jan Burgers (jan.burgers@huygens.knaw.nl) Lambert Schomaker (L.Schomaker@ai.rug.nl) Please cite our papers if you use this data set: [1] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Image-based historical manuscript dating using contour and stroke fragments. Pattern Recognition(PR), Vol. 59, pp. 159-171, 2016 [2] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Towards style-based dating of historical documents. International Conference on Frontiers in Handwriting Recognition(ICFHR), Crete, Greece, 2014 [3] Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker. Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization IEEE Trans. on Image Processing, Vol. 25(11), Nov. 2016. http://ieeexplore.ieee.org/document/7551181/</pre> <p>Data are collected thanks to Dutch NWO grant project 380-50-006</p>
WikiChurches – A Fine-Grained Dataset of Architectural Styles with Real-World Challenges
<p>WikiChurches is a dataset for architectural style classification, consisting of 9,485 images of church buildings. Both images and style labels were sourced from Wikipedia. The dataset can serve as a benchmark for various research fields, as it combines numerous real-world challenges: fine-grained distinctions between classes based on subtle visual features, a comparatively small sample size, a highly imbalanced class distribution, a high variance of viewpoints, and a hierarchical organization of labels, where only some images are labeled at the most precise level. In addition, we provide 631 bounding box annotations of characteristic visual features for 139 churches from four major categories. These annotations can, for example, be useful for research on fine-grained classification, where additional expert knowledge about distinctive object parts is often available.</p> <p>Please refer to the README.md file for information about the different files contained in this dataset.</p>
Translation Alignment: Ancient Greek to English. Annotation Style Guide and Gold Standard.
<p>This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with English translations.</p> <p>The guidelines were used to annotate a diverse dataset including Homeric epic, Attic prose, and Platonic dialogue, and were tested by measuring inter-annotator agreement of 80% or higher. The Ancient Greek texts used are almost entirely available through the Scaife viewer (<a href="https://scaife.perseus.org/">https://scaife.perseus.org/</a>).</p> <p>The datasets used to develop the gold standard were aligned using the Ugarit Translation Alignment Editor for Historical languages (<a href="http://ugarit.ialigner.com/">http://ugarit.ialigner.com/</a>).</p> <p>The materials available here can be used to perform and evaluate alignments of various texts in Ancient Greek, to create new gold standard corpora, and to train automated translation models.</p> <p>The guidelines can also be further adapted to address similar language pairs including an inflected and a synthetic language, such as Latin and English, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the creation of a Gold Standard in the scenario of machine translation. Different scenarios, such as language research or pedagogy, may need further tweaking to these guidelines to make them more compatible with different underlying principles.</p> <p>For further information on Ugarit and translation alignment of historical languages, see <a href="http://ugarit.ialigner.com/bib.php">http://ugarit.ialigner.com/bib.php</a> and follow us on Twitter (@ugarit_ty).</p>
Translation Alignment: Ancient Greek to Latin. Annotation Style Guide and Gold Standard
<p>This dataset contains guidelines and a gold standard for the alignment of Ancient Greek texts with Latin scholarly translations. </p> <p>The gold standard consists of 100 fragments randomly selected from the <em>Digital Fragmenta Historicorum Graecorum </em>(DFHG) (https://www.dfhg-project.org/), which were aligned manually by Chiara Palladino and David J. Wright using Ugarit (https://ugarit.ialigner.com/). The Annotation Style Guide was developed for this project. The resulting Inter-Annotator-Agreement (IAA) is 90.5%. </p> <p>The materials available in this repository can be used to perform and evaluate alignments of various texts in Ancient Greek, to create gold standards, and to train automated translation alignment models. </p> <p>The Guidelines can be further adapted to address similar language pairs including inflected languages, or can provide a structure for the alignment of other historical texts against modern translations. However, the guidelines are not project-specific: they were specifically intended for the scenario of machine translation. Different research questions, such as translation history or pedagogy, may need further tweaking of these guidelines. </p> <p>For further information on Ugarit and translation alignment of historical languages, see http://ugarit.aligner.com/bib.php and follow us on Twitter (@ugarit_ty). <br> </p> <p> </p>
Test film for Dating ancient manuscripts using radiocarbon and AI-based writing style analysis
<p>This film is associated with the following article:<br> Title: <strong>Dating ancient manuscripts using radiocarbon and AI-based writing style analysis</strong><br> Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, and Eibert Tigchelaar<br> <em>(under review)</em></p> <p> </p> <p>This film is made for the ERC project:<br> The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls<br> PI: Mladen Popović<br> Grant agreement ID: 640497<br> Project website: <a href="https://cordis.europa.eu/project/id/640497">https://cordis.europa.eu/project/id/640497</a><br> Videographer: <a href="https://videobrouwers.nl/">https://videobrouwers.nl/</a></p> <p><strong>Copyright (c) </strong> University of Groningen, 2023. All rights reserved.<br> <strong>Disclaimer and copyright notice for this file:</strong></p> <p><strong>1)</strong> permission is hereby granted to use the video for research purposes. It is not allowed to distribute this video for commercial purposes.</p> <p><strong>2) </strong>provider gives no express or implied warranty of any kind, and any implied warranties of merchantability and fitness for purpose are disclaimed.</p> <p><strong>3) </strong>provider shall not be liable for any direct, indirect, special, incidental, or consequential damages arising out of any use of this video.</p> <p><strong>4) </strong>the user should refer to the first public article mentioned above in this video.</p> <p><strong>5) </strong>the recipient should refrain from proliferating the video to third parties external to his/her local research group. Please refer interested researchers to this site to obtain their own copy.</p> <p> </p> <p><strong>Film description:</strong><br> A test was conducted on 6 July 2021. The test consisted of giving unseen <sup>14</sup>C results to the AI experts to see whether Enoch (date prediction model) would give date prediction estimates that match the <sup>14</sup>C results. However, at the start of the test, it was unknown to the AI experts that the samples were chosen because <sup>14</sup>C results were available for them. The <sup>14</sup>C results were taken from the 1990s <sup>14</sup>C dating of the Dead Sea Scrolls [1,2]. The assumption was that the manuscripts chosen were not contaminated with castor oil as these manuscripts were not handled by the original team of editors in the 1950s [3,4,5]. This applies to 1QIsa<sup>a</sup>, 1QpHab, 1QapGen, 1QS, 1QH<sup>a</sup>, 11Q19, Mas1l. Two more manuscripts were added for other reasons. 4Q53 was added because scholars assume that it was written by the same scribe as 1QS. 4Q319 was added because it is actually the same manuscript as 4Q259 [6], which was subjected to <sup>14</sup>C dating by our own project. The test was filmed. The film captures the whole process that was conducted in one go.</p> <p><strong>If you have any questions, please get in touch with us:</strong><br> Mladen Popović <m.popovic(at)rug.nl><br> Maruf A. Dhali <m.a.dhali(at)rug.nl><br> Lambert Schomaker <l.r.b.schomaker(at)rug.nl></p> <p><strong>References:</strong><br> <em>1.Bonani, G., Ivy, S., Wölfli, W., Broshi, M., Carmi, I., & Strugnell, J. (1992). Radiocarbon dating of fourteen Dead Sea scrolls. Radiocarbon, 34(3), 843-849.<br> 2. Jull, A. T., Donahue, D. J., Broshi, M., & Tov, E. (1995). Radiocarbon dating of scrolls and linen fragments from the Judean desert. Radiocarbon, 37(1), 11-19.<br> 3. Doudna, G., Flint, P. W., & VanderKam, J. C. (1998). Dating the Scrolls on the basis of radiocarbon analysis. The Dead Sea scrolls after fifty years. A comprehensive assessment. Volume one, 1, 430-471.<br> 4. Carmi, I. (2002). Are the 14C dates of the Dead Sea Scrolls affected by castor oil contamination? Radiocarbon, 44(1), 213-216.<br> 5. Rasmussen, K. L., van der Plicht, J., Doudna, G., Nielsen, F., Højrup, P., Stenby, E. H., & Pedersen, C. T. (2009). The effects of possible contamination on the radiocarbon dating of the Dead Sea Scrolls II: empirical methods to remove castor oil and suggestions for redating. Radiocarbon, 51(3), 1005-1022.<br> 6. Hempel, C. (2020). The Community Rules from Qumran: A Commentary (Vol. 183). Mohr Siebeck.</em></p>
Supplementary Materials for Genomic insight into Pediococcus acidilactici HN9, a potential probiotic strain isolated from the traditional Thai-style fermented beef Nhang
<p>Figure S1: Subsystem information of the HN9 based on the RAST annotation server, <br> Figure S2: Phylogenetic analysis of Pediococcus acidilactici HN9 and other strains at the species level, Figure S3: Sequence alignment of Enterolysin A from Pediococcus pentosaceus ATCC 25745 with Enterolysin A identified in the HN9, <br> Figure S4: Identification of bacteriocin-encoding genes from all bacterial strains in the genus Pediococcus, <br> Table S1: The information of strain used in this study, <br> Table S2: Metadata of all strains used in this study.</p>
Pilot study: Ranking of textual snippets based on the writing style
<p>In this pilot study, we tried to capture humans' behavior when identifying authorship of text snippets. At first, we selected textual snippets from the introduction of scientific articles written by single authors. Later, we presented to the evaluators a source and four target snippets, and then, ask them to rank the target snippets from the most to the least similar from the writing style.</p> <p>The dataset is composed by 66 experiments manually checked for not having any clear hint during the ranking for the evaluators. For each experiment, we have evaluations from three different evaluators.</p> <p>We present each experiment in a single line (in the CSV file), where, at first we present the metadata of the Source-Article (Journal, Title, Authorship, Snippet), and the metadata for the 4 target snippets (Journal, Title, Authorship, Snippet, Written From the same Author, Published in the same Journal) and the ranking given by each evaluator. This task was performed in the open source platform, Crowd Flower. </p> <p>The headers of the CSV are self-explained. In the TXT file, you can find a human-readable version of the experiment. </p> <p>For more information about the extraction of the data, please consider reading our paper: "Extending Scientific Literature Search by Including the Author’s Writing Style" @BIR: http://www.gesis.org/en/services/events/events-archive/conferences/ecir-workshops/ecir-workshop-2017 </p>
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers. in A New Brackish-water Species of Echinoderes (Kinorhyncha: Cyclorhagida) from the Seto Inland Sea, Japan
Fig.ç4.Ec hinoderes ohtsukai sp. nov., paratype, female (ZIHU 3983), scanning electron micrographs. A, Mouth cone, lateral view; B, introvert, lateral view. Abbreviations: oo, outer oral styles; sc, scalids; sp, spinoscalids; tr, trichoscalids. Digits a er the labels refer to introvert ring numbers.
Eye Tracking based Learning Style Identification for Learning Management Systems
<h2>Abstract: </h2> <p>In recent years, universities have been faced with increasing numbers of students dropping out. This is partly due to the fact that students are limited in their ability to explore individual learning paths through different course materials. However, a promising remedy to this issue is the implementation of adaptive learning management systems. These systems recommend customised learning paths to students - based on their individual learning styles. Learning styles are commonly classified using questionnaires and learning analytics, but both methods are prone to error. Questionnaires may yield superficial responses due to time constraints or lack of motivation, while learning analytics ignore offline learning behaviour. To address these limitations, this study aims to integrating Eye Tracking for a more accurate classification of students' learning styles. Ultimately, this comprehensive approach could not only open up a deeper understanding of subconscious processes, but also provide valuable insights into students' unique learning preferences.</p> <h3>Research: </h3> <p>As an example of a possible analysis of the eye-tracking stimuli and eye movement recordings available here, as well as the corresponding ILS questionnaire responses, we refer to the following research works, which should also be referred to if necessary: </p> <ul> <li>Bittner, D., Nadimpalli, V. K., Grabinger, L., Ezer, T., Hauser, F., & Mottok, J. (2024, June), Uncovering Learning Styles through Eye Tracking and Artificial Intelligence, <em>In 2024 Symposium on Eye Tracking Research and Applications.</em> ETRA.</li> <li>Bittner, D. (2024), Behind the Scenes - Learning Style Uncovered using Eye Tracking and Artificial Intelligence. Master’s Thesis, Regensburg University of Applied Sciences (OTH), Regensburg, Germany</li> <li>Bittner, D., Ezer, T., Grabinger, L., Hauser, F., & Mottok, J. (2023). Unveiling the secrets of learning styles: decoding eye movements via machine learning. In <em>ICERI2023 Proceedings</em> (pp. 5153-5162). IATED.</li> <li>Bittner, D., Hauser, F., Nadimpalli, V. K., Grabinger, L., Staufer, S., & Mottok, J. (2023, June). Towards eye tracking based learning style identification. In <em>Proceedings of the 5th European Conference on Software Engineering Education</em> (pp. 138-147). ECSEE.</li> </ul> <p>The following descriptions and the previous abstract are part of the Master's thesis "Behind the Scenes - Learning Style Uncovered using Eye Tracking and Artificial Intelligence" by Bittner D. and have to be cited accordingly. </p> <h3>Experimental Setup:</h3> <p>In the following section, crucial notes on the circumstances and the experiment itself as well as the equipment are given. <br>In order to reduce the external influence on the experiment, variables such as:</p> <ul> <li>order, number, and presentation of the stimuli,</li> <li>instruction to the participant prior to the experiment,</li> <li>position of the participant in respect to the Eye Tracking equipment,</li> <li>environment such as illuminance and ambient noise for the participant,</li> <li>Eye Tracking equipment, software, settings such as sampling frequency and latency as well as calibration</li> </ul> <p>were attempted to keep constant and consistent throughout the experiment. </p> <h3>Equipment: </h3> <p>In this study, the <strong>Tobii Pro Fusion</strong> (<a href="https://go.tobii.com/tobii-pro-fusion-user-manual">https://go.tobii.com/tobii-pro-fusion-user-manual</a>) eye tracker is utilized without a chin rest along with the <strong>Tobii IVT filter</strong> for fixation detection and <strong>Tobii Pro Lab</strong> software for data collection. The Tobii Pro Fusion is categorised as a video-based combined pupil and corneal reflection technology. This tracker provides several advantages, such as the collection of comprehensive data, comprising gaze, pupil, and eye-opening metrics. The eye tracker captures up to 250 images per second (250Hz), enhancing its precision and eye movement analysis. In addition, Tobii Pro Fusion is capable of performing under different lighting conditions, thus making this portable device ideal for off-site studies.</p> <p>Ensuring consistent quality across all experiment participants is crucial. Prior to each individual experiment, eye trackers are calibrated, aiming for a maximum reproduction error of less or equal than 0.2 degree during calibration to minimize deviations. The calibration is excluded from the experiment recording. Each participant is given the same instructions for their single trial of the experiment. The stimuli is displayed on a 24-inch monitor in a 16:9 format, positioned approximately 65cm away from the participants' eyes. Any effect related to the characteristics of the participants, such as age, visual acuity, eye colour, pupil size, etc., are considered in the experiment design. </p> <h3>Procedure: </h3> <p>Initially, the participants are requested to confirm their ability to conduct the experiment based on their current condition. Subsequently, the participant must be positioned comfortably and accurately in relation to the eye tracker. The eye tracker calibration is carried out for each participant to ensure a suitable experimental configuration. Once a successful calibration is achieved, the Eye Tracking experiment begin with introductions prior to each task. The stimuli presentation is unrestricted by time constraints, and no prior knowledge of the stimuli contents is necessary. Employing a within-subject design, each stimulus is exposed to each subject. Following completion of the experiment, participants anonymously answer the ILS questionnaire. To prevent any impact on the experiment, it is important that the questionnaire only be seen and completed after the experiment. </p> <h3>Stimuli: </h3> <p>The specially designed stimuli shown to participants during the study are illustrated in the left-hand column of the figure in the PDF file "[Documentation]stimuli_preview.pdf", which is part of the Master's thesis "Behind the Scenes - Learning Style Uncovered using Eye Tracking and Artificial Intelligence" by Bittner D. For this research, only specific regions of a stimulus, referred to as AOI, are taken into consideration. The size of the AOI depends on both stimulus information and distance between multiple AOIs. Adequate results are ensured by not overlapping AOIs and appropriate spacing. The AOIs of the various stimuli employed in this research are illustrated in the right-hand column of the figure in the PDF file "[Documentation]stimuli_preview.pdf", which is part of the Master's thesis "Behind the Scenes - Learning Style Uncovered using Eye Tracking and Artificial Intelligence" by Bittner D. The stimuli are presented in German language, ensuring reliable Eye Tracking measurements without any interference from language barriers. Each stimulus comprises diverse learning materials to engage students with varying learning styles, with some general information about the quantitative research cycle. Some stimuli feature identical type of material, e.g. <em>illustrations</em> or <em>key words</em>, but with different contexts and positions on the stimuli. Rearranging the identical material reduces the influence of reading style and enhances the impact of the learning style, producing a more reliable experiment. These identical types of material or AOIs on different stimuli can be grouped together, identified by the same colour and title, and referred to as AOI groupings.<br>There are ten different AOI groupings in total, as illustrated in the figure in the "[Documentation]stimuli_preview.pdf" file, where each grouping consists of several AOIs. <br>In detail, the AOI grouping regarding:</p> <ul> <li><em>table of contents and summary contain only a single AOI each,</em></li> <li><em>illustrations</em>, <em>key words</em>, <em>theory</em>, <em>exercise</em>, <em>example</em> and <em>additional material</em> contain three AOIs each,</li> <li><em>supporting text</em> and <em>multiple choice question</em> contain two AOIs each.</li> </ul> <h3>Research data management: </h3> <p>To ensure the transparency and reproducibility of this study, effective management of research data is essential. This section provides details on the management, storage and analysis of the extensive dataset collected as part of the study. Importantly, this research, the study and its processes adhered to ethical guidelines at all times, including informed consent, participant anonymity and secure data handling. The data collected will only be kept for a specific period of time as defined in the research project guidelines. The collection itself involves the recording of participants' eye movements during the ET study and the collection of their demographic data and responses to the ILS questionnaire. </p>
Dataset of "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"
<p>This dataset supports the article published<em> </em>in the Advanced Energy Materials:</p> <p>"Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models"</p> <p> </p> <p>Raw data for the article "Hysteresis, impedance and transients effects in halide perovskite solar cells and memory devices analysis by neuron-style models". For further details see the readme.txt file.</p>
Dead Sea Scrolls data collection (images, labels, prediction plots) for dating ancient manuscripts using radiocarbon and AI-based writing style analysis
<p>The dataset is associated with the following article:<br>Title: <strong>Dating ancient manuscripts using radiocarbon and AI-based writing style analysis</strong><br>Authors: Mladen Popović, Maruf A. Dhali, Lambert Schomaker, Johannes van der Plicht, Kaare Lund Rasmussen, Jacopo La Nasa, Ilaria Degano, Maria Perla Colombini, and Eibert Tigchelaar<br><em>(Under review)</em></p> <p>This data set is collected for the ERC project:<br>The Hands that Wrote the Bible: Digital Palaeography and Scribal Culture of the Dead Sea Scrolls<br>PI: Mladen Popović<br>Grant agreement ID: 640497<br>Project website: <a href="https://cordis.europa.eu/project/id/640497">https://cordis.europa.eu/project/id/640497</a></p> <p> </p> <p><strong>Copyright (c) </strong> University of Groningen, 2024. All rights reserved.<br><strong>Disclaimer and copyright notice for all data contained on the *.tar.gz files:</strong></p> <p><strong>1)</strong> permission is hereby granted to use the data for research purposes. It is not allowed to distribute this data for commercial purposes.</p> <p><strong>2) </strong>provider gives no express or implied warranty of any kind, and any implied warranties of merchantability and fitness for purpose are disclaimed.</p> <p><strong>3) </strong>provider shall not be liable for any direct, indirect, special, incidental, or consequential damages arising out of any use of this data.</p> <p><strong>4) </strong>the user should refer to the first public article mentioned above on this data set.</p> <p><strong>5) </strong>the recipient should refrain from proliferating the data set to third parties external to his/her local research group. Please refer interested researchers to this site to obtain their own copy.</p> <p> </p> <p><strong>Organization of the data:<br></strong><em>(Update on 19 April 2024: OxCal data for accepted 2-sigma ranges are updated with the incusion and exclusion of minor peaks. New prediction plots are added after the model is trained with accepted 2-sigma ranges, including minor peaks. The old plots are also kept. <br><br><OLD Updates below; disregard><br>updated on 07-Feb-2024: OxCal data for selected ranges added in a new directory in addition to previously available original OxCal data. Enoch's prediction plots and test images are reorganized for easy access to the users.<br><OLD Updates above; disregard><br><br>Please use the files from this version and disregard the previous two versions: 10.5281/zenodo.10629480 and 10.5281/zenodo.8168210)</em></p> <p>There are four *.tar.gz files:</p> <p><em><strong>C14-Oxcal-data-updated.tar.gz</strong></em> contains one directory with radiocarbon data (OxCal [1] raw data) for all 30 manuscripts. Three additional directories contain name-corrected files for original OxCal data, files with accepted ranges, and files with accepted ranges including minor peaks. Please refer to the original article for details about OxCal data and the manuscripts. 25 out of 30 raw OxCal data are used (accepted ranges only) as the training labels during the training of Enoch, the date prediction model.</p> <p><em><strong>train-images-c14.tar.gz</strong></em> contains the clean and preprocessed (binarized, aligned, and arrangement corrected) training images for the 25 radiocarbon-dated training manuscripts (including 4Q52; 64 images in total). </p> <p><em><strong>test-images-all.tar.gz</strong></em> contains the clean and preprocessed test images for 135 previously undated manuscripts. The images are organized in three different directories: the first one with all 359 images for the 135 manuscripts, the second one with the selected 135 images, and the final one with 25 images to illustrate the poor quality of images. </p> <p><em><strong>Enoch-prediction-new-with-minor-peaks.tar.gz</strong></em> contains the new date prediction plots for each of the 135 test images, where Enoch was trained with the inclusion of minor peaks for the 2-sigma accepted ranges and with a data balancing threshold of 0.05. These plots are used by expert palaeographers' evaluation of Enoch's style-based date predictions of 135 previously undated manuscripts.</p> <p><em><strong>Enoch-predictions.tar.gz</strong></em> contains the date prediction plots for each of the 135 test images. There are two directories inside the *.tar.gz file:<br><br>- <em>prediction-plots-for-selected-135:</em> Prediction plots with data balancing threshold of 0.05. <br>- <em>extra-plots:</em> contains four additional directories:<br> - <em>Enoch-predictions-c14wo4Q52-balanced05:</em> Prediction plots with data balancing threshold of 0.05. <br> - <em>Enoch-predictions-c14wo4Q52-balanced10:</em> Prediction plots with data balancing threshold of 0.1.<br> - <em>Enoch-predictions-c14wo4Q52-unbalanced:</em> Unbalanced raw predictions.<br> - <em>Enoch-predictions-c14wo4Q52-combined:</em> Combined plots with all three prediction plots (unbalanced, 0.05, 0.1).<br>Please refer to the original article for more details.</p> <p>The updated code to run the plot is available here: <a href="https://doi.org/10.5281/zenodo.10998860">https://doi.org/10.5281/zenodo.10998860</a></p> <p><strong>If you have any questions, please get in touch with us:</strong><br>Mladen Popović <m.popovic(at)rug.nl><br>Maruf A. Dhali <m.a.dhali(at)rug.nl><br>Lambert Schomaker <l.r.b.schomaker(at)rug.nl></p> <p> </p> <p><strong>References:</strong><br>1. Bronk Ramsey, C. (2001). Development of the radiocarbon calibration program. <em>Radiocarbon</em>, <em>43</em>(2A), 355-363.</p>
Рис. 6. Поперечные (А–Е, З, И) и продольный (Ж) среЗы череЗ органы пиЩеварительной системы моллюска: А – меШок кристаллического стебелька, Б, В – петли киШки, Г, Д – часть желудка с длинными складками на дорсальной части стенки, Е, З – петли киШки с тифлоЗолем, И – боковаЯ часть тифлоЗолЯ. МасШтабные линейки 300 мкм (Е, З, И), 200 мкм (А, В, Г, Д), 40 мкм (Б). мс – меШок кристаллического стебелька, Кс – кристаллический стебелек, Р – реснички, т – тифлоЗоль, lp – lamina propria, г – гемолимфа. Fig. 6. Transverse (А–Е, З, И) and saggital (Ж) sections of the digestive organs: А – crystalline style sac, Б, В – intestinal limbs, Г, Д – part of the stomach with long plicae on the dorsal wall, Е, З – intestinal limbs with typhlosole, И – lateral part of the typhlosole. Scale bars 300 µm (Е, З, И), 200 µm (А, В, Г, Д), 40 µm (B). мс – style sac, Кс – crystalline style, Р – cilia, т – typhlosole, lp – lamina propria, г – hemolymph. in Nodularia vladivostokensis (Bivalvia: Unionidae) from Razdolnaya River (Primorye, Russia)
Рис. 6. Поперечные (А–Е, З, И) и продольный (Ж) среЗы череЗ органы пиЩеварительной системы моллюска: А – меШок кристаллического стебелька, Б, В – петли киШки, Г, Д – часть желудка с длинными складками на дорсальной части стенки, Е, З – петли киШки с тифлоЗолем, И – боковаЯ часть тифлоЗолЯ. МасШтабные линейки 300 мкм (Е, З, И), 200 мкм (А, В, Г, Д), 40 мкм (Б). мс – меШок кристаллического стебелька, Кс – кристаллический стебелек, Р – реснички, т – тифлоЗоль, lp – lamina propria, г – гемолимфа. Fig. 6. Transverse (А–Е, З, И) and saggital (Ж) sections of the digestive organs: А – crystalline style sac, Б, В – intestinal limbs, Г, Д – part of the stomach with long plicae on the dorsal wall, Е, З – intestinal limbs with typhlosole, И – lateral part of the typhlosole. Scale bars 300 µm (Е, З, И), 200 µm (А, В, Г, Д), 40 µm (B). мс – style sac, Кс – crystalline style, Р – cilia, т – typhlosole, lp – lamina propria, г – hemolymph.
How to cite & reference in Chicago (footnote) style
<p>This video shows how to cite and reference a book and a journal article in Chicago style, using style guide Cite Them Right.</p>
Model data repository of "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins"
<p>This dataset contains the data used in Wu et al. (2022): "Styles of Trench-parallel Mid-ocean Ridge Subduction Affect Cenozoic Geological Evolution in circum-Pacific Continental Margins".</p>
GP22: A Car Styling Dataset for Automotive Designers
<p>GP22 is the dataset relevant to the designer's perspective and practices. <br> The dataset involves side profiles of cars produced or introduced from the 1960s to 2021.</p> <p><em>Images folder contains dataset images labeled with: SEGEMENT_BRAND_COUNT.jpg</em><br> <strong>SEGMENT</strong> were labeled in single alphabet: A, B, C, D, E, F, J, S, P<br> <strong>BRAND</strong> were labeled in three alphabet: Alf(AlfaRomeo), Ast(Aston Martin), Aud(Audi), Ben(Bentley), Bmw(BMW), Che(Chevrolet), Chr(Chrysler), Cit(Citroen), Fer(Ferrari), Fia(Fiat), For(Ford), Gen(Genesis), GMC(GMC), Hon(Honda), Hum(Hummer), Hyu(Hyundai), Jag(Jaguar), Jep(Jeep), Kia(Kia), Lan(LandRover), Lex(Lexus), Mas(Maserati), Maz(Mazda), Mer(Mercedes Benz), Mit(Mitsubishi), Nis(Nissan), Ope(Opel), Peu(Peugeot), Pon(Pontiac), Por(Porsche), Ren(Renault), Riv(Rivian), Rol(Rolls Royce), Sko(Skoda), Ssa(Ssang Yong), Vwg(Volkswagen), and Vol(Volvo)</p> <p><em>Labels folder contain labels in text file: SEGEMENT_BRAND_COUNT.txt</em><br> Single text file structured in:<br> <strong>0</strong>(tire1): x1, y1, x2, y2 positions of the single box<br> <strong>0</strong>(tire2): x1, y1, x2, y2 positions of the single box<br> <strong>1</strong>(wheel1): x1, y1, x2, y2 positions of the single box<br> <strong>1</strong>(wheel2): x1, y1, x2, y2 positions of the single box<br> <strong>2</strong>(body): x1, y1, x2, y2 positions of the single box<br> <strong>3</strong>(cabin): x1, y1, x2, y2 positions of the single box<br> <strong>4</strong>(day light opening): x1, y1, x2, y2 positions of the single box<br> <strong>5</strong>(bodyside): x1, y1, x2, y2 positions of the single box</p> <p><em>This dataset also contained the YOLO v5 l based detection model trained on GP22: DetectionModel.pt</em></p>
Elements of Style in Reproducible Workflow Creation and Analysis: An INCLUDE Training Event
<p><a href="https://github.com/NIH-NICHD/Elements-of-Style-Workflow-Creation-Maintenance/blob/main/README.md">Elements of Style Workflow Creation and Maintenance</a>: An INCLUDE Training Event</p> <p>The <a href="https://includedcc.org/">INCLUDE Data Hub</a> is a new resource that securely hosts human clinical, genomic, transcriptomic, proteomic, and other data providing a wealth of opportunities to study conditions that affect individuals with Down syndrome. Today, the approach to answering new scientific questions with these data often uses cloud-based methods accessible through web browsers.</p> <p>During a three-hour virtual training, users learn the know-how to ask scientific questions with these data using cloud platforms and workflows. Users will learn how to build and share processes that assure reproducibility, repurposablility regardless of the computational environment. While many things are possible, the user will be oriented to approaching their work in a modular, testable fashion. </p>
Music Style Transfer datasets
<p>A collection of MIDI datasets used in my MSc project: Evaluating Music Style Tranfer methods (link TBD).</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.