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2,371 results for “platform”
Data From 'Gallium Phosphide as a Piezoelectric Platform for Quantum Optomechanics'
<p>Source data for figures.</p>
Artifact for the ESEC/FSE 2020 Paper: An Empirical Analysis of the Costs of Clone- and Platform-Oriented Software Reuse
<p>This dataset comprises the supplementary material for the paper "An Empirical Analysis of the Costs of Clone- and Platform-Oriented Software Reuse" by Jacob Krüger and Thorsten Berger, accepted at ESEC/FSE 2020.</p> <p>The dataset comprises:</p> <ul> <li>bibFilesManualSearch: The bib files for all venues analyzed, as provided by DBLP (cf. Section 2.4)</li> <li>dataFromPapers: The pdf file documents all included studies and the data extracted from these (cf. Section 2.4, 3.2, and 3.3)</li> <li>interviewGuide: The guide/questions for our semi-structured intreviews in the cost assessment phase (cf. Section 2.3)</li> <li>anonymizedInterviewSummary: The anonymized and summarized data from the cost-assessment interviews (cf. Section 3.2 and 3.3)</li> <li>R: Our R script for creating our figures and the corresponding csv files</li> </ul> <p> </p>
COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms
<p>This dataset release supports the results presented in the paper "COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms" by A. U. Gias and G. Casale, accepted in IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), 2020.</p> <p>When referring to the dataset please cite the paper above.</p>
Library Service Platforms (LSPs) characteristics classification via DELPHI method raw data
<p>The purpose of the research that is related to the dataset is to identify the innovative features of the LSPs (Library Service Platforms) that differentiate them from the LMS (Library Management Systems), as well as to evaluate their importance, based on the opinions of the Greek information scientists. The method used is the Delphi 2-round questionnaire. The dataset contains the results of the Delphi method. Each sheet contains the ranking results from a group of 17 experts from two rounds of the DELPHI method.</p>
Can digital platforms be regulated? A Dialogue Between The European Union and México
<p>Can digital platforms be regulated? A Dialogue Between The European Union and México</p> <p>This video presentation was produced as a Digital Knowledge Product for the Horizon 2020 MSCA RISE project, Promoting Research on Digitalisation in Emerging Powers and Europe towards Sustainable Development (PRODIGEES, GA #873119).</p> <p>The original publishing agency is Instituto Mora EN VIVO 1. The original publishing platform is YouTube. The link: https://www.youtube.com/watch?v=VY5A8GdIjy4</p>
A versatile microfluidic platform measures hyphal interactions between Fusarium graminearum and Clonostachys rosea in real-time
<p>Routinely, fungal-fungal interactions (FFIs) are studied on agar surfaces. However, this format restricts high-resolution dynamic imaging. To gain experimental access to FFIs at the hyphal level in real-time, we developed a microfluidic platform, a FFI device. This device utilises microchannel geometry to enhance the visibility of hyphal growth and provides control channels to allow comparisons between localised and systemic effects. We demonstrate its function by investigating the FFI between the biological control agent (BCA) <em>Clonostachys rosea </em>and the plant pathogen <em>Fusarium graminearum. </em>Microscope image analyses confirm the inhibitory effect of the necrotrophic BCA and we show that a loss of fluorescence in parasitised hyphae of GFP-tagged <em>F. graminearum </em>coincides with the detection of GFP in mycelium of <em>C. rosea</em>. The versatility of our device to operate under both water-saturated and nutrient-rich as well as dry and nutrient-deficient conditions, coupled with its spatio-temporal output, opens new opportunities to study relationships between fungi.</p>
Robustness of massively parallel sequencing platforms
<p>The improvements in high throughput sequencing technologies (HTS) made clinical sequencing projects such as ClinSeq and Genomics England feasible. Although there are significant improvements in accuracy and reproducibility of HTS based analyses, the usability of these types of data for diagnostic and prognostic applications necessitates a near perfect data generation. To assess the usability of a widely used HTS platform for accurate and reproducible clinical applications in terms of robustness, we generated whole genome shotgun (WGS) sequence data from the genomes of two human individuals in two different genome sequencing centers. After analyzing the data to characterize SNPs and indels using the same tools (BWA, SAMtools, and GATK), we observed significant number of discrepancies in the call sets. As expected, the most of the disagreements between the call sets were found within genomic regions containing common repeats and segmental duplications, albeit only a small fraction of the discordant variants were within the exons and other functionally relevant regions such as promoters. We conclude that although HTS platforms are sufficiently powerful for providing data for first-pass clinical tests, the variant predictions still need to be confirmed using orthogonal methods before using in clinical applications. </p>
Eclipse Platform UI
<p>Bug localization refers to the automated process of locating the potential buggy files for a given bug report. To help developers focus their attention to those files is crucial. Several existing automated approaches for bug localization from a bug report face a key challenge, called lexical mismatch, in which the terms used in bug reports to describe a bug are different from the terms and code tokens used in source files. This paper presents a novel approach that uses deep neural network (DNN) in combination with rVSM, an information retrieval (IR) technique. rVSM collects the feature on the textual similarity between bug reports and source files. DNN is used to learn to relate the terms in bug reports to potentially different code tokens and terms in source files and documentation if they appear frequently enough in the pairs of reports and buggy files. Our empirical evaluation on real-world projects shows that DNN and IR complement well to each other to achieve higher bug localization accuracy than individual models. Importantly, our new model, HyLoc, with a combination of the features built from DNN, rVSM, and project’s bug-fixing history, achieves higher accuracy than the state-of-the-art IR and machine learning techniques. In half of the cases, it is correct with just a single suggested file. Two out of three cases, a correct buggy file is in the list of three suggested files.</p>
Udayagiri, Madhya Pradesh. Markings on the platform, central ridge.
<p>Udayagiri, Madhya Pradesh. Markings on the platform, central ridge, possibly part of a sundial.</p>
WeBCMD: A Cross-Platform Interface for the BCMD Modelling Framework
<p>Datasets for the WeBCMD example use cases.</p> <p>Those named *-output-*.csv are intended for comparing with model output whilst synthetic-input-data.csv is intended to drive the model for the BrainSignals/Systemic Data use case.</p>
EAST-WEST and VERTICAL deformation maps of Alto Tiberina Fault supersite: The Post-Proc service in Geohazard Exploitation Platform applied to Sentinel-1 dataset
<p>In the framework of the ESA funded project “MEMpHIS - Multi Scale and Multi Hazard Mapping Space based Solutions ”, the Istituto Nazionale di Geofisica e Vulcanologia (INGV) together with TRE-ALTAMIRA, generated the EAST-WEST and VERTICAL deformation maps of Alto Tiberina Fault supersite. The two maps of ground velocity were derived thanks to the adoption of a specific tool named "Post-Proc", implemented in MEMPHIS and with the support of Terradue, that is able to automatically re-project on the east-west and vertical directions the ascending and descending InSAR time series. In particular, the output refers to the deformation maps calculated by processing with SqueeSAR (TM) method, a large dataset acquired by the ESA Sentinel-1 mission.</p> <p>The Post-Proc tool also calculates the mean accelerations associated to each persistent scatterer in the scenes. Some additional features are also available from this tool:</p> <p>- Change the coherence threshold for selecting a subset of persistent scatterers</p> <p>- Activate a geometrical distortion filter to take into account the layover and foreshortening effects</p> <p>- Change the reference point (position and coherence)</p> <p>- Choose between two types of accelerations: 2<sup>nd</sup> order model or velocity derivative</p> <p>- Choose among three different projection: east-west, vertical, and downslope.</p> <p>The present dataset is composed of the EAST-WEST and VERTICAL acceleration maps. The data are in shapefile format: for each record (PS) the topography, velocity, acceleration, and InSAR coherence is reported.</p>
Research data - taxonomy for revenue models of platform business models (C2E)
<p>Research data to develop a taxonomy of revenue models for platform business models following a conceptual-to-empirical approach.</p>
Research data - taxonomy for platform revenue models (E2C)
<p>Research data to develop a taxonomy of revenue models for platform business models following an empirical-to-conceptual approach.</p>
STREAM - Sub-THz Radar sensing of the Environment for future Autonomous Marine platforms: RLG Dataset Coniston A
<p>This dataset contains the files corresponding to which results have been included in the journal paper. The full descirption of conducted trials and data structure is mentioned in the attached pdf document.</p><p>STREAM trials were conducted by the University of Birmingham (UoB) and the University of St. Andrews from 29/08/2022 - 02/09/2022 at Coniston Lake in the UK. The primary aim was to gather propagation data across lakes and measure the returns from the lake surface. The data will be used to develop algorithms to extract the information needed for pilotage.</p><p>The experiments were performed with radars operating in the 79, 150, and 300 GHz bands to investigate the Doppler and imaging capabilities of these radars.</p><p>This report describes the measurement scenarios and data structure of INRAS Radarlog (76 GHz – 81 GHz) used for data collection campaign.</p><p>Contact: a.a.a.pirkani@bham.ac.uk or m.s.gashinova@bham.ac.uk</p>
In-house CHO HCP Platform: a promising approach for HCP ELISA monitoring
Open the record for dataset details and reuse information.
ATMS Limb Correction Coefficients for NOAA-20 and SNPP platforms
Limb correction coefficients used to create limb adjusted brightness temperature. Four separate files provide separate land and sea correction coefficients for two different ATMS sensors, one onboard on the NOAA-20 platform and the other onboard on the SNPP platform. Reference publication (older coefficients used in paper): Zhang K; Zhou L; Goldberg M; Liu X; Wolf W; Tan C, et al. A Methodology to Adjust ATMS Observations for Limb Effect and Its Applications. Journal of Geophysical Research: Atmospheres. 2017;122(21):11,347-11,56. https://doi.org/10.1002/2017JD026820
Evaluation of DebIso, a learning platform for systematic debugging
<p>This is the collection of data, produced during the evaluation of DebIso, a learning platform for systematic debugging.</p> <p>See <a href="https://doi.org/10.1145/3677619.3678105">https://doi.org/10.1145/3677619.3678105</a> for the related publication.</p>
PlayMyData: a curated dataset of multi-platform videogames
<h2><strong>About</strong></h2><p>This repository contains the source code implementation used to replicate the experimental results obtained in the submitted to the 21st International Conference on Mining Software Repositories (MSR204).</p><p><i>"PlayMyData: a curated dataset of multi-platform videogames"</i></p><p>authored by:</p><p>Andrea D'Angelo(1), Claudio Di Sipio, Cristiano Politowsky (2) and Riccardo Rubei</p><p>(1) Università degli Studi dell'Aquila, Italy</p><p>(2) University of Montreal, Canada</p><h2><strong>Introduction </strong></h2><p>PlayMyData is a multi-purpose, comprehensive videogame dataset of videogames released from 1993 up to November 2023. It contains metadata like titles, platforms, a summary of the story, and release data. It also integrates data from HowLongToBeat on completion times.</p><h2><strong>Data description</strong></h2><p>The dataset is structured as follows: </p><ul><li><strong>all_games_PlayStation.csv</strong>: It contains IGDB metadata collected for the PlayStation platforms.</li><li><strong>screenshots.zip</strong>: It contains the collected screenshots from IGDB, grouped by genre</li><li><strong>all_games_Xbox.csv</strong>: It contains IGDB metadata collected for the Xbox platforms.</li><li><strong>all_games_PC.csv</strong>: It contains IGDB metadata collected for the PC.</li><li><strong>all_games_Nintendo.csv</strong>: It contains IGDB metadata collected for the Nintendo platforms.</li><li><strong>platforms.csv</strong>: It contains all gaming platforms available on IGDB and the corresponding ID.</li><li><strong>genres.csv</strong>: It contains the list of genres available on IGDB and the corresponding ID.</li><li><strong>all_videos.csv</strong>: It contains the gameplay URLs and the corresponding name as it appears on IGDB, e.g. "Gameplay Video" </li><li><strong>video_ids.csv</strong>: It contains the mapping with games and the list of gameplay videos. Some entries are missing.</li></ul><h2><strong>How to collect PlayMyData</strong></h2><p>To collect PlayMyData, please refer to the supporting GitHub repo available at: https://github.com/riccardoRubei/MSR2024-Data-Showcase</p><p> </p>
(Processed data) How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study: a descriptive study
<p>Processed data used in the article 'How do Spanish educational researchers use X's platform to promote the dissemination of scientific knowledge: a descriptive study', from the project Comscienciaeduspain (FCT-20-15761), executed with the collaboration of the Spanish Foundation for Science and Technology – Ministry of Science and Innovation.</p>
Argos Platform Transmitter Terminal data for 3 Southern Giant Petrel (Macronectes giganteus) during breeding season in Fildes Peninsula.
<p>Argos Platform Transmitter Terminal raw data for 3 Southern Giant Petrel (Macronectes giganteus) during breeding season in Fildes Peninsula, more specifically in the Islet known as Diomedea or Albatross Islet. All location classes are included. Locations are in EPSG 4326 (WGS 84). All animals had an active nest during data collection.</p> <p> </p> <p>Data generates with funding from INACH Programa Areas Marinhas Protegidas (24 04 052) and Agencia Nacional de Investigación y Desarrollo, Instituto Milénio Base ICN2021_002</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.