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2,373 results for “Platform”
Data and code for "Search Algorithm, Repetitive Information, and Sales on Online Platform"
<p>Data and code for "Search Algorithm, Repetitive Information, and Sales on Online Platform".</p> <p>The R code containsboth code for simulation and code for estimation.</p>
Low Emission Oil and Gas Open (LEOGO) platform specification
<p>This dataset describes the integrated energy system of a hypothetical but realistic offshore oil and gas platform referred to as the LEOGO reference platform. It reflects what would be considered a typical installation on the Norwegian Continental Shelf.</p> <p>Included with the dataset is</p> <ul> <li>input data for analysis with the open-source Oogeso (https://github.com/oogeso/oogeso) operational optimisation/simulation tool, including simplified links between electricity and heat demand and the gas/oil/water flow rates through the processing system.</li> <li>A detailed electrical model implemented in the Digsilent PowerFactory tool</li> </ul> <p> </p>
HIGGS_Testing Platform_P&ID diagram
<p>HIGGS project aims to pave the way to decarbonisation of the gas grid and its usage, by covering the gaps of knowledge of the impact that high levels of hydrogen could have on the gas infrastructure, its components and its management.<br> To reach this goal, several activities, including mapping of technical, legal and regulatory barriers and enablers, testing and validation of systems and innovation, techno-economic modelling and the preparation of a set of conclusions as a pathway towards enabling the injection of hydrogen in high-pressure gas grids, are developed in the project.</p> <p>The test loop is designed as a platform for testing campaigns, and it takes into consideration aspects like safety under varying operation conditions, continuous monitoring of critical parameters and indicators defined for the components and elements to be tested.</p>
Platforms & registries for sharing participant-level COVID-19 data
<p>This dataset presents an overview of platforms and registries that store, harmonize, and, in some cases, share COVID-19-related participant-level data, including clinical-epidemiological, human and pathogen OMICs, and high dimensional imaging data. The dataset provides an in-depth review of adherence to the <a href="https://www.go-fair.org/fair-principles/">FAIR principles</a>, governance, benefit sharing and other ethical concerns related to resources that share harmonized, participant-level data for the research response to COVID-19. Systematic searches were conducted between April 2020 and June 2021 to identify relevant platforms and registries. We applied natural language processing to the CORD-19 dataset in March of 2021 and consulted with COVID-19 focused researchers in Asia, Africa, and Latin America to identify non-English language COVID-19-related data sharing resources.</p>
Design of Blockchain-based Applications using Model-Driven Engineering and Low-Code / No-Code Platforms - SLR Dataset
<p>Dataset of the publications collected at various stages of the Structured Literature Review titled "<a href="https://link.springer.com/article/10.1007/s10270-023-01109-1">Design of Blockchain-based Applications using Model-Driven Engineering and Low-Code / No-Code Platforms</a>" published in Software and Systems Modeling:</p> <p>The creation of blockchain-based software applications requires today considerable technical knowledge, particularly in software design and programming. This is regarded as a major barrier in adopting this technology in business and making it accessible to a wider audience. As a solution, low-code and no-code approaches have been proposed that require only little or no programming knowledge for creating full-fledged software applications. In this paper we extend a review of academic approaches from the discipline of model-driven engineering as well as industrial low-code and no-code development platforms for blockchains. This includes a content-based, computational analysis of relevant academic papers and the derivation of major topics. In addition, the topics were manually evaluated and refined. Based on these analyses we discuss the spectrum of approaches in this field and derive opportunities for further research.</p>
Spittle Island - Aphrophoridae rearing method on floating platforms
<p>Method of laboratory rearing of field collected Aphrophoridae by confinement of juveniles-bearing plants in ventilated tubes. The tubes are placed on floating platforms that allow continuous water supply to the plants.</p>
Hyperlocal Environmental Data with a Mobile Platform
<p>This document provides expanded definitions, units, and more information on the data provided in the .CSV files collected using the City Scanner platform, <a href="http://senseable.mit.edu">MIT Senseable City Lab </a>over the years 2019-2022</p> <p><strong>Data Fields</strong></p> <p><em>time</em>: The time field is in Unix time and can be converted to local time with a simple script or using online tools.</p> <p><em>latitude, longitude</em>: The latitude and longitude readings from the devices are determined via GPS and given in degrees for projected corrdinates.</p> <p><em>pm1, pm25, pm10</em>: The particulate matter (pm) readings from the optical particle counter after calibration. The units for each are instantaneous mass concentrations in μg/m3.</p> <p><em>no2</em>: The nitrogen dioxide (no2) readings from the gas sensors after conversion and calibration. The unit is instantaneous concentrations in parts per billion (ppb).</p> <p><em>bin0-bin23</em>: Twenty-four bins from the OPC containing particle number counts for different sizes, ranging from 0.35 to 40 μm. The bin boundary sizes are as follows from bin0 to bin23: 0.35, 0.46, 0.66, 1.0, 1.3, 1.7, 2.3, 3.0, 4.0, 5.2, 6.5, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0 , 20.0, 22.0, 25.0, 28.0, 31.0, 34.0, 37.0, 40.0</p> <p>temperature: Ambient temperature reading in degrees Celsius.</p> <p>humidity: Ambient relative humidity reading in percentage</p> <p><strong>Overview of Data Collection Studies</strong></p> <table> <caption>Datasets</caption> <thead> <tr> <th scope="col">City</th> <th scope="col">Sensing target pollutants</th> <th scope="col">Sensing fleet</th> <th scope="col">Duration</th> <th scope="col">Files</th> </tr> </thead> <tbody> <tr> <td>New York City (USA)</td> <td>Particulate matter, particle size distribution, NO2</td> <td>Five municipal vehicles</td> <td> <p>Oct. 2020 - Feb. 2021</p> <p>Sep. 2021 - Dec. 2021</p> </td> <td> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot1_PM.csv?download=1">NYC_Pilot1_PM.csv</a> </p> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot2_NO2_Part1.csv?download=1">NYC_Pilot2_NO2_Part1.csv</a></p> <p> </p> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot2_NO2_Part2.csv?download=1">NYC_Pilot2_NO2_Part2.csv</a></p> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot2_PM_Part1.csv?download=1">NYC_Pilot2_PM_Part1.csv</a></p> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot2_PM_Part2.csv?download=1">NYC_Pilot2_PM_Part2.csv</a></p> <p><a href="https://zenodo.org/record/7762000/files/NYC_Pilot2_PM_Part3.csv?download=1">NYC_Pilot2_PM_Part3.csv</a></p> </td> </tr> <tr> <td>Boston (USA)</td> <td>Particulate matter, particle size distribution, NO2</td> <td>One mobile air laboratory</td> <td>Feb. 2022 - Apr. 2022</td> <td><a href="https://zenodo.org/record/7762000/files/Boston_Pilot_PM_NO2.csv?download=1">Boston_Pilot_PM_NO2.csv</a></td> </tr> <tr> <td>Beirut (Lebanon)</td> <td>Particulate matter, particle size distribution</td> <td>Two Taxies </td> <td>Feb. 2022 - Jun. 2022</td> <td><a href="https://zenodo.org/record/7762000/files/Beirut_Pilot_PM.csv?download=1">Beirut_Pilot_PM.csv</a></td> </tr> </tbody> </table> <p> </p>
Data platform (genotyping data set) related to ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 "The role of vitamin D gene polymorphisms and its receptors in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis".
<p><strong>Data platform </strong><strong>(genotyping dataset)</strong> <strong>related to the ERDF postdoctoral project No. </strong><strong>1.1.1.2/VIAA/4/20/718</strong><strong> “</strong><strong>The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis</strong><strong>”.</strong></p> <p><strong>About the project and gathered data:</strong></p> <p>The dataset contains genotyping data on 289 sex-balanced samples (approximately 60% women / 40% men)) were created at the the multiple sclerosis (MS) Clinic of the Latvian Maritime Medical Center (LMMC) in 2011 (disease duration of 1-51 years); the collection was updated within the framework of the ERDF MS project (2017-2020) and replenished during the ERDF postdoctoral project No. 1.1.1.2/VIAA/4/20/718 “The role of vitamin D and its receptor gene polymorphisms in the modulation of intestinal inflammation in patients with relapsing and progressive forms of multiple sclerosis” (2021-2023).</p> <p>For the <strong>Genotyping dataset </strong>relevant information for each patient from the MS disease cohort, referring to proteasomal gene genetic variations (microsatellites and SNPs): (HSMS006 <em>(PSMA6),</em> HSMS602 <em>(FAM177A1),</em> HSMS701 <em>(KIAA0391)</em>, HSMS702 <em>(KIAA0391)</em> HSMS801 <em>(KIAA0391)</em>, rs11543947<em>(PSMB5), </em>rs2277460 (mi110), rs1048990 (mi8)<em> (PSMA6),</em> rs1048990 (mi8)<em> (PSMA6),</em> rs2295826/rs2295827<em>(PSMC6),</em> rs2348071 <em>(PSMA3),</em> rs2071543, rs9357155 <em>(PSMB8),</em> rs17587<em>(PSMB9),</em> rs74421874 <em>(PSMD9); </em>rs9275596 from HLA region; vitamin D-related genes (VDR and GC) polymorphisms: rs2228570, rs1544410, rs7975232, rs731236 (<em>VDR</em>) and rs7041, rs4588 <em>(GC).</em></p>
Snapshot data in Parquet format from ENTSO-E Transparency Platform
<p>This is a snapshot of the following three datasets downloaded from the <a href="https://transparency.entsoe.eu/content/static_content/Static%20content/knowledge%20base/SFTP-Transparency_Docs.html">ENTSO-E Transparency Platform SFTP</a>:</p> <ol> <li>ActualTotalLoad (6.1.A)</li> <li>AggregatedGenerationPerType (16.1.B C)</li> <li>DayAheadPrices (12.1.D)</li> </ol> <p>The data has been downloaded and converted from CSV to Parquet using the package {arrow} in R.</p> <p><strong>WARNING</strong>: as <a href="https://github.com/energy-modelling-toolkit/entsoe-tp-survival-kit">I have explained here</a>, the data in the Transparency Platform changes every day. This means that the data contained in these files may be different from the data currently shown on the website or available via the APIs.</p>
Knowledge Exchange - Data from the survey on Alternative Publishing Platforms
<p>The survey data are available in two formats (.csv and .xlsx). They each contain the answers of 45 respondents to the survey conducted at the start of 2023.</p> <p>The <a href="https://docs.google.com/forms/d/e/1FAIpQLScXVQ_4UqZzPh6tj4lGna_SLA4iD0DF5DGjkYKu4HlVJ9AitA/viewform">survey form is still open</a>.</p>
Parties' Ideological Positions on the Digital Transition to Platform Societies: Dataset
<p>The dataset showcases an original classification of the ideological positions on the digital transition to platform societies by 29 parties in 4 Western European countries. The codebook details the definition of the coding units. The coding files illustrates how the paragraphs are sorted into the indicators' scores. </p>
Development of Continuous Glucose Monitoring System Cohort for Personalized Diabetes Prevention and Management Platform
ClinicalTrials.gov study NCT04369833. IPD Sharing: NO. Countries: 1. Publications: 11.
Integrating a Stepped Care Model of Screening and Treatment for Depression Into Malawi's National HIV Care Delivery Platform
ClinicalTrials.gov study NCT04777006. IPD Sharing: YES. Countries: 1. Publications: 11.
Platform Study of Novel Ruxolitinib Combinations in Myelofibrosis Patients
ClinicalTrials.gov study NCT04097821. IPD Sharing: YES. Countries: 13. Publications: 1.
Data from: An experimental platform for stochastic analyses of single serotonergic fibers in the mouse brain
Open the record for dataset details and reuse information.
FibroTUG platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
Open the record for dataset details and reuse information.
Comparison of physiologically based pharmacokinetic modeling platforms for developmental neurotoxicity in vitro to in vivo extrapolation
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Data from: SLICE-MSI: A machine learning interface for system suitability testing of mass spectrometry imaging platforms
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A comprehensive phylogenomic platform for exploring the angiosperm Tree of Life
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Strain gauge platforms: Time-lapse microscopy dataset of engineered cardiac microbundles
Open the record for dataset details and reuse information.
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.