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2,373 results for “Platform”
Supplemantal tables for "A Non-targeted Proteomics Newborn Screening Platform for Genetic Disorders".
<p>Table S1 (List of proteins identified in DBS samples analyzed in the study).</p> <p>The list includes identified proteins with peptide and protein false discovery rates < 1%. Proteins shown in black are those identified by unique peptide sequences that were clearly distinguishable from others. Proteins shown in blue represent grouped master proteins. Proteins shown in grey represent grouped proteins. A quantitative value of “0” indicates that the protein was detected, but did not reach a level sufficient for quantification.</p> <p>Table S2 (Proteins identified in DBS samples that are listed in OMIM)</p> <p>List of proteins identified in every healthy newborn sample that are included in the OMIM database. The list includes identified proteins with peptide and protein false discovery rates < 1%. AD, autosomal dominant; AR, autosomal recessive; ARLOF, autosomal recessive loss of function; XL, X-linked; IUIS2022, 2022 Classification of Human Inborn Errors of Immunity by the International Union of Immunological Societies Expert Committee.</p>
STD-BERTopic Online music platform data
<p>“STD-BERTopic model has been applied to analyze online music platform data. The dataset consists of various user interactions, including how users engage with friends, follow others, and manage privacy settings. The data also reflects behaviors such as blocking users, re-following previously unfollowed users, and issues related to friend lists and visibility after unfollowing. The model extracts trends and topics from short texts, which reveal insights into user experiences, especially concerning friendship and follow functionalities.”</p>
Data for "Platform Materials for Moisture-Swing Carbon Capture"
<div> <p>This repository contains data for the manuscript "Platform Materials for Moisture-Swing Carbon Capture" </p> <p> </p> </div>
Empirical Study and Vision for a Holistic Serious Game Platform for Software Engineering Education
<p>Serious games are becoming increasingly popular in universities to motivate students. Therefore, more and more lecturers are using game-based learning to encourage students to learn the subject matter. However, using serious games in Software Engineering (SE) lectures at universities is rather challenging as the subject is very practice-oriented and requires special kinds of tasks, e.g., practicing programming, software modeling, etc. Thus, building serious games and integrating such SE-specific tasks is a serious technical challenge and requires immense development effort. Therefore, before developing new games, students' preferences should be analyzed to increase the chances that these games will be played. To address this issue, we conducted an empirical study with 105 students to investigate the requirements and chances for using serious games in SE education in universities. Our analysis shows that students' preferences vary significantly and that there is no clear indication of a single game type that motivates all students equally. Therefore, our second contribution is a vision for a microservice-based Holistic Serious Game Platform for Software Engineering Education, which supports efficiently developing different serious games and integrating SE-specific mini-games and tasks. Hence, our empirical results and the presented approach support advancing research and development of serious SE games and also sensitize game developers to the needs of SE education.</p>
Data from: Harnessing stratigraphic bias at the section scale: conodont diversity in the Homerian (Silurian) of the Midland Platform, England
Fossil abundance and diversity in geological successions are subject to bias arising from shifting depositional and diagenetic environments, resulting in variable rates of fossil accumulation and preservation. In simulations, this bias can be constrained based on sequence-stratigraphic architecture. Nonetheless, a practical quantitative method of incorporating the contribution of sequence-stratigraphic architecture in community palaeoecology and diversity analyses derived from individual successions is missing. As a model of faunal turnover affected by the stratigraphic bias, we use the 'Mulde event', a postulated mid-Silurian interval of elevated conodont turnover, which coincides with global eustatic sea-level changes and which has been based on regionally constrained observations. We test whether conodont turnover is highest at the boundary corresponding to the 'event' and post-'event' interval against the alternative that conodont turnover reflects habitat tracking and peaks at facies shifts. Based on the previously documented, parasequence-level stratigraphic framework of sections in the northern and central part of the Midland Platform, the relative controls of sequence-stratigraphic architecture, time and depositional environment over conodont distribution are evaluated using permutational multivariate analysis of variance. The depositional environment controls the largest part of variability in conodont assemblage composition, whereas the postulated 'Mulde event', or genuine temporal change in conodont diversity, cannot be detected. Depending on the binning of the stratigraphic succession, contrasting diversity and turnover patterns can be produced. The simple approach proposed here, emulating partitioning of β diversity into spatial and temporal components, may help to constrain the stratigraphic bias, even at the scale of an individual section.
Sling load mechanical design - Motor platform (CAD)
<p>These files are the mechanical design of the motor platform, i.e. the upper part of the sling load platform.</p>
Sling load mechanical design - Sensor platform (CAD)
<p>These files are the mechanical design of the sensor platform, i.e. the lower part of the sling load platform. </p>
Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
<p>Documentation and auxiliary code available at:</p> <p><a href="https://github.com/epfl-dlab/platform_bans">https://github.com/epfl-dlab/platform_bans</a></p> <p> </p>
GISD30: global 30-m impervious surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform
<p>A novel and accurate global 30 m impervious surface dynamic dataset (GISD30) for 1985 to 2020 was produced using the spectral generalization method and time-series Landsat imagery, on the Google Earth Engine cloud-computing platform.</p>
Early development of carbonate platform (Xisha Islands) in the northern South China Sea
<p>It contains data about the concentrations of Ca, Ti, Th, Zr, and the mineralogical compositions for the Xisha carbonate platform.</p>
The eWaterCycle platform for Open and FAIR Hydrological collaboration Video Abstract
<p>In this video we introduce The eWaterCycle platform for Open and FAIR Hydrological collaboration. With the eWaterCycle platform we are providing the hydrological community with a platform to conduct their research fully compatible with the principles of Open Science as well as FAIR science.</p> <p>This is a video abstract with the publication "The eWaterCycle platform for Open and FAIR Hydrological collaboration." in the journal Geoscientific Model Development (GMD) (under review, link will be provided when available).</p> <p>For more information on the eWaterCycle platform see:</p> <ul> <li>the eWaterCycle package on Zenodo: https://doi.org/10.5281/zenodo.5119389</li> <li>the 5 use cases presented in the paper and video, on Zenodo: https://doi.org/10.5281/zenodo.5543899</li> <li>the eWaterCycle website at https://www.ewatercycle.org/</li> </ul>
Data and code for "Multimode microwave circuit optomechanics as a platform to study coupled quantum harmonic oscillators"
<p>Components design files, code used to produce figures and measurement scripts for the results in "Multimode microwave circuit optomechanics as a platform to study coupled quantum harmonic oscillators".</p>
MICS platform
<p>The code of the MICS platform [https://github.com/MICStools/MICS.tools]</p>
A Robotic Platform for Synthesis of Colloidal Nanocrystals
<p>Code, algorithm, and data are available to generate results that are reported in the paper and central to the main claims.</p> <p>1. Code and README for data mining of synthesis parameters.</p> <p>2. Code for reading in situ color characterization results.</p> <p>3. Code, README and figure drawing (an example) of ML prediction by SISSO.</p> <p> </p>
One Health EJP MATRIX video about the One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP)
<p>This video was recorded during the webinar about the <strong>One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP) </strong>as part of the OHEJP MATRIX Webinar Series 2022 <em>Solutions for One Health Surveillance in Europe</em>. The webinar took place on November 10<sup>th</sup> from 14:00 to 15:15 CET and was hosted by the <a href="https://onehealthejp.eu/jip-matrix/">One Health EJP project MATRIX.</a></p> <p>The One Health Surveillance CODEX: The Knowledge Integration Platform (OHS Codex/KIP) is a community resource supporting the adoption of the OH paradigm. The OHS Codex/KIP comprises five high-level “action principles”, which respectively support: i) planning and management; ii) collaboration; iii) knowledge exchange; iv) data interoperability; v) reporting and dissemination. These principles are applicable to any sector-specific or cross sectorial surveillance activity.<br> Under each of these principles, the OHS Codex/KIP provides the users a collection of resources (e.g. tools, technical resources, guidance documents and experiences) that address specific OH-problems in the context of the corresponding principle. As an open community framework, it is continuously updated by and for the community. More information is available <a href="https://oh-surveillance-codex.readthedocs.io/en/latest/">here.</a></p> <p>The OHS Codex/KIP has been initially devolped in <a href="https://onehealthejp.eu/jip-orion/">One Health EJP ORION</a> and was expanded and promoted within <a href="https://onehealthejp.eu/jip-matrix/">One Health EJP MATRIX.</a></p> <p>The MATRIX and ORION projects are part of the One Health European Joint Programme (OHEJP).<br> They received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 773830.</p> <p>Leading MATRIX partner of the OHS Codex/KIP: German Federal Institute for Risk Assessment (BfR). Contact: Matthias Filter (Matthias.Filter@bfr.bund.de)</p> <p><em><strong>Webinar agenda:</strong></em></p> <p><strong>Welcome and general overview of the MATRIX solutions for One Health Surveillance</strong><br> Guido Benedetti, Statens Serum Institut (SSI), Denmark</p> <p><strong>One Health Surveillance CODEX: Knowledge Integration Platform – ORION perspective and MATRIX extension</strong><br> Matthias Filter, German Federal Institute for Risk Assessment (BfR), Germany</p> <p><strong>Live Demo and special features of the One Health Surveillance CODEX: Knowledge Integration Platform</strong><br> Yvonne Mensching, German Federal Institute for Risk Assessment (BfR), Germany</p>
FIGURE 3. Biternatisporites compositus gen. & comb. nov. A–E in Biternatisporites gen. nov.-a new megaspore genus from the MiddleCarboniferous sediments of the Tunguska basin (Siberian platform, Russia)
FIGURE 3. Biternatisporites compositus gen. & comb. nov. A–E. General view of megaspores. A. Specimen no. 65, magnification ×42. B. Specimen no. 68, magnification ×42. C. Specimen no. 70 (holotype), magnification ×49. D. Specimen no. 70 (holotype), magnification ×185. E. Specimen no. 71, magnification ×58. F. Structure of large rays, specimen no. 70 (holotype), magnification ×2200. G. Structure of small rays, specimen no. 70 (holotype), magnification ×2200. Photographer: Iochannes Moeller, Alfred Wegener Institute for Polar and Marine Research, Potsdam.
FIGURE 2 in Biternatisporites gen. nov.-a new megaspore genus from the MiddleCarboniferous sediments of the Tunguska basin (Siberian platform, Russia)
FIGURE 2. Morphological structure and types of Late Paleozoic megaspores. A. Megaspore type I. B. Megaspore type II. C. Megaspore type III. The numbers indicate: 1. Area. 2. Gula. 3. Curvature. 4. Curvature crest. Photographer: Iochannes Moeller, Alfred Wegener Institute for Polar and Marine Research, Potsdam.
FIGURE 1 in Biternatisporites gen. nov.-a new megaspore genus from the MiddleCarboniferous sediments of the Tunguska basin (Siberian platform, Russia)
FIGURE 1. Map of the sampling location of Biternatisporites compositus gen. & comb. nov. in the northeast of the Tunguska Basin, Russia (●). (Map taken from Lethaea rossica. Russian Paleobotanical Journal 2: 56 [in Russian].)
A multi-platform collection of social media posts about the 2022 U.S. midterm elections
<p>The details and full author list can be found at https://github.com/osome-iu/MEIU22 .</p> <p>Here we only host the 4chan data. Data from other platforms (Twitter, Facebook, and Reddit) are on GitHub.</p>
Questionnaire and Results for the "Gamify-IT - A Web-Based Gaming Platform for Software Engineering Education" Paper
<p>This archive contains the questions and results of our questionnaire to evaluate the prototype Gamify-IT e-learning platform. The questionnaire contains 18 questions and statements to evaluate the students' experience with the platform. We conducted the evaluation with students of our programming introductory course at the University of Stuttgart. 20 students provided their feedback. Results are anonymized.</p>
ScienceDex guides
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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.