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1,146 results for “collaboration;”
Data for Analysis for "A Framework for Adapting Conversational Intelligent Tutoring Systems to enable Collaborative Learning"
<p>This dataset includes, the data files for validating the statistical analysis from "A Framework for Adapting Conversational Intelligent Tutoring Systems to enable Collaborative Learning"</p> <p> </p> <p>The dataset is composed of 1500 files named following the pattern `Test-R-N-User-C-P.csv` where</p> <ul> <li>R is the n-th repetition. From 0 to 50</li> <li>N is the number of concurrent users. From 100 to 1000</li> <li>C is the treatment. chat for the framework version. chat-session for the legacy version.</li> <li>P is the problem number. 16 or 352.</li> </ul> <p>The data files corresponding to chat and problem 16 are those that in the paper are identified as Framework. The files por problem 352 are the collaborative version with students grouped.</p> <p>Each csv, is composed following the standard formate by Apache JMeter, and contains XX columns:</p> <ul> <li>timeStamp - UNIX timestamp of the request</li> <li>elapsed - Time taken to finish the request</li> <li>label - which step</li> <li>responseCode - HTTP response code</li> <li>responseMessage</li> <li>threadName</li> <li>dataType</li> <li>success - true|false</li> <li>failureMessage</li> <li>sentBytes</li> <li>grpThreads</li> <li>allThreads - Threads running</li> <li>URL - Endpoint URL</li> <li>Latency</li> <li>SampleCount</li> <li>ErrorCount - Cumulative amount of errors</li> <li>IdleTime </li> <li>Connect - Connection time</li> </ul> <p> </p>
Dataset related to the publication "Accelerating Pinned Specimen Digitization: A Deep Learning Pipeline for Collaborative Robots"
<p>The dataset related to the publication "Accelerating Pinned Specimen Digitization: A Deep Learning Pipeline for Collaborative Robots". 250 training images and 50 annotated test images (YOLOv8 format).</p>
Survey results - Implementation of interprofessional collaboration
<p>This dataset contains the variables, values and results for a survey run among the students of the pilot course "Interprofessionelle Gesundheitsversorgung - online" to determine effects of the course on the implementation of interprofessional collaboration in students' professional environment.</p> <p>The dataset is licensed under a Creative Commons Attribution 4.0 International (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>) license.</p>
Supplementary data for: Collaborative Program Comprehension via Software Visualization in Extended Reality
<p>Supplementary videos and images for: Collaborative Program Comprehension via Software Visualization in Extended Reality</p> <p>Videos are additionally hosted on: <a href="https://www.youtube.com/channel/UCijDvGaoZqH0LiFW3DSNH1w">https://www.youtube.com/channel/UCijDvGaoZqH0LiFW3DSNH1w</a></p>
Dataset for: An experimental comparison of anomaly detection methods for collaborative robot manipulators
<p>The dataset contains data recordings from a UR5e robot during normal and anomalous operation and is recorded to support the authors Master thesis project and the associated Paper: <em>"An Experimental Comparison of Anomaly Detection Methods for Collaborative Robot Manipulators" </em>(inProceeding).</p> <p>An in-depth description of the dataset can be found in the pdf uploaded with the dataset and an example of a data loader is also provided.</p>
An open, collaborative, and scholarly digital edition of Anastās Mārī al-Karmalī's monthly journal "Lughat al-ʿArab" (Baghdad, 1911--14)
<p>This repository has seen a lot of edits since the last release:</p> <p>changes</p> <ul> <li>moved to central TEI boilerplate</li> <li>switched interface to Arabic</li> </ul> <p>edits</p> <ul> <li>added mastheads to vol.s 1 and 2</li> <li>some validation of automated structural mark-up</li> <li>manual validation of mark-up against the facsimile: vol. 1</li> <li>removed faulty automated mark-up of dates and periodical titles and re-added them through much improved process</li> <li>mark-up of named entities</li> <li>linked entity names to authority files</li> </ul>
An open, collaborative, and scholarly digital edition of ʿAbd al-Qādir al-Iskandarānī's monthly journal "al-Ḥaqāʾiq" (Damascus, 1910--12)
<p>The last release, v0.9, wasn't caught by Zenodo for some unknown reason. Nothing has been changed since. The following release message has been copied from v0.9:</p> <p>As the mark-up of al-Ḥaqāʾiq has been complete for some time now and we are waiting for our scans to be processed at Halle for some three years now, we have decided to release a practically complete version. There have been a couple of maintenance edits over the last years to unify the set-up of editions across the entire project. Thus, the folder with TEI files was renamed tei/. Entity linked as also considerably improved, particularly for periodical titles.</p>
Towards Collaborative Immersive Qualitative Analysis
<p>Figures for a published conference article in the 15th International Conference on Computer Supported Collaborative Learning, June 2022.</p> <ul> <li>Figure 1 - Screenshot of a CAVA360VR session R1 (left) and R2 (right)</li> <li>Figure 2 - Aerial view of participants and camera posi</li> <li>Figure 3 - Student group collaboration represented by a comic transcript</li> <li>Figure 4 - Bringing up an additional camera view to accomplish an alternative viewing</li> <li>Figure 5 - Drawing as a way of highlighting and creating shared awareness</li> </ul>
Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'
<p>Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'</p> <p>This package contains a collaborative BLE-RSS database, which considers different collaborative set-ups involving five mobile devices. The database is composed of three main subdirectories (Raw-Data, Processed-Data, and Code). The Code directory contains the Matlab script files used to process the raw data, visualize the processed data, and usage examples of the data provided. Further information is provided in the Readme file.</p>
Historic machines from 'prams' to 'Parliament': new avenues for collaborative linguistic research
<p>Recording of presentation of long paper, DH Benelux 2022: RE-MIX. Creation and alteration in DH (Hybrid), 1-3 June 2022.</p> <p>Research in computational linguistics has made successful attempts at modelling word meaning at scale, but much remains to be done to put these computational models to the test of historical scholarship. More importantly, a lot of computational research looks at texts in a historical vacuum, 'synchronically', as linguists would say. <em>Living with Machines</em> is an interdisciplinary research project that rethinks the impact of technology on the lives of ordinary people during the Industrial Revolution. During this project, we decided to address a fundamental question: what did people mean by ‘machine’ and how has this meaning changed over time?</p> <p>This paper outlines how a simple research question like 'what was a machine?' can provide an opportunity to engage the public with our work while also generating data for analysis and new avenues of research in a radically collaborative way.</p>
The creative, collaborative lab. A round table (June 01, 2022. 1400-1600 UTC)
<p>The purpose of this roundtable is to gain an interdisciplinary understanding of the lab as a collaborative and creative space. Our panel are distinguished scientists at the University of Lethbridge who have experience running and/or working in a variety of lab contexts. In this session they will discuss their experiences, provide tips, and generally share their knowledge and experience with lab science.</p>
Data set: Quantifying the Accuracy of Collaborative IoT and Robot Sensing in Indoor Settings of Rigid Objects
<p>This is the data set accompanying the paper "Quantifying the Accuracy of Collaborative IoT and Robot Sensing in Indoor Settings of Rigid Objects" by Sune L. Sørensen and Mikkel Baun Kjærgaard. Please refer to the paper for a description of the hardware used to record the data and how it is recorded.</p> <p>It consists of the following files:</p> <p><em>IoT camera images</em>: RBG images, named img_aa_bbb_0.jpg, where aa is the setup ID, bb is the camera ID (101, 102, 103 or 104).</p> <p><em>Robot RGB images</em>: RBG images, named aa0.png where aa is the setup ID.</p> <p><em>Robot point clouds</em>: pcd-files, named aa0.pcd where aa is the setup ID.</p> <p>The transformation from the IoT coordinate system to the robot coordinate system is:</p> <p>robotTiot = np.array([[0.914428, 0.134934, -0.378832, 3.76475],</p> <p>[0.393661, -0.49845, 0.772371, 0.791051],</p> <p>[-0.0846896, -0.855336, -0.509056, 2.37154],</p> <p>[0.0, 0.0, 0.0, 1.0]])</p> <p>Example, tranforming a pose in IoT coordinates to robot coordinates: p_rob = robotTiot * p_iot</p>
Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading, University of Southampton)
<p>This video is the eighth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Collaborative Innovation Project funding launch - Dr Samantha Kanza (University of Reading)</p> <p>Bio: Dr Samantha Kanza is a Senior Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/ </p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/PDWZkZBzfqw</p>
Making Data Work: A Systematic Mapping of Collaborative Data Curation Practices
<p>This file contains dataset associated with the paper Making Data Work: A Systematic Mapping of Collaborative Data Curation Practices</p>
Figure 2. Workflow in Collaborative Portals-Questions Regarding Alterity in Social Collaborative Networks
<p>Despite the divergence of each members individual interests and structure, the media as well<br> as the Internet become new forms of social binding, and we believe they do not exclude the<br> traditional ways of communication and interaction, but help people in their duties, in addition to the<br> traditional, formal ways. In Figure 2 [7]. there is a clear image about how each of the benefficiaries<br> interact with the educational portal.</p>
Figure 1. 2nd year section in the Educational Portal - Questions Regarding Alterity in Social Collaborative Networks
<p>Portlets proved to be the most intelligent way of presenting information on an educational<br> portal, due to the richness of the user interface tools. The portal may be found at http://cursfs.ub.ro<br> URL. In Figure 1 there is a screenshot of the 2nd year students section in educational portal, which is<br> very easy to use and helpful.</p>
Figure 5: Screen shot of the generated collaborative virtual environment
<p>The output of the design is an xml file. The technical user has to customize<br> the designed session in order to put in the virtual environment engine in order<br> to generate the session. The customization regards technical parameters (for<br> example spatial coordinate, intensity of the light and so on). A screen shot of<br> the generated session is in figure 5.</p>
Challenges and Realities in Asian Elephant Research: A Global Bibliometric Analysis Highlighting Conservation Crises and Collaborative Opportunities
<p><span>The Asian elephant (<em>Elephas maximus</em>), also known as Asiatic elephant is facing a significant decline in its wild populations due to habitat loss, fragmentation and degradation, leading to increased conflicts between humans and elephants. Preserving this iconic species is crucial, prompting researchers to explore various aspects of its biology, behavior, ecology, and conservation efforts. </span><span>In light of the profound importance of this subject</span><span>, this study utilizes a descriptive systematic literature review (SLR) to examine global research trends on Asian elephants. Analyzing a dataset of 1,780 articles spanning from 1914 to 2022, the study reveals a notable increase in publications, particularly since 2000, with 142 articles published in 2022 alone. This research provides a comprehensive overview of advancements in Asian elephant studies, promoting international collaboration and knowledge exchange among researchers. While research from leading scientific countries can aid in conservation efforts, there is a call for more inclusive, participatory and fair approaches. The study demonstrates a commitment to Equity, Inclusion, and Diversity (EID) by adopting a multifaceted approach that considers the needs, perspectives and contributions of diverse stakeholders. By addressing disparities and advocating for social justice within elephant conservation, the study emphasizes the urgent need for collective action in conservation, welfare improvement, conflict resolution, ecosystem balance, and overall enhancement of understanding about Asian elephants. Serving as a valuable resource for policymakers, conservation organizations, and researchers, the study not only synthesizes existing literature but also identifies research gaps, highlights areas requiring immediate attention, and offers collaborative opportunities for global scientists to contribute to the well-being and preservation of this majestic species.</span></p>
Figure 2 in Eradication of African sacred ibis (Threskiornis aethiopicus) from South Florida, USA: a collaborative early detection and rapid response case study
Figure 2. Two African Sacred Ibis (Threskiornis aethiopicus) affixed with wing tags and GPS backpack transmitters in September of 2008 in order to employ the "scout" technique as part of a successful southern Florida, USA, eradication effort. Photo courtesy of USDA.
Figure 1 in Eradication of African sacred ibis (Threskiornis aethiopicus) from South Florida, USA: a collaborative early detection and rapid response case study
Figure 1. Map of Florida (left) and southeastern Florida (right) where a successful eradication of African Sacred Ibis (Threskiornis aethiopicus) took place in 2008. Early detection at the Loxahatchee National Wildlife Refuge by a University researcher prompted a concerted effort to capture birds and employ the scout technique on two transmitter affixed birds. The scout method and reported species sightings resulted in identifying additional roost locations (4) where shooting operations took place.
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.