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6,452 results for “Application”
Application of high-throughput sequencing (HTS) metabarcoding to diatom biomonitoring: Do DNA extraction methods matter?
<p>The 8 benthic samples from Mainland France (stream Edian, stream Aire, lake Geneva), Sweden (stream Dåmman, Agricultural stream, lake Båtkåjaure) and Mayotte (stream Dapani, stream Majimbini) were collected by scraping material from the surface of stones, following the French standard (AFNOR 2007) used in routine biomonitoring programs.DNA was extracted from each sample (2 replicates) using five DNA extraction methods, followed by the amplification of a short rbcL DNA barcode (312bp) specific to diatoms. PCR products were then sequenced in one random direction using the Ion Torrent™ Personal Genome Machine® (PGM) System according to the manufacturer’s instructions. The data file contains one fastq file per library sequenced with the raw DNA reads, as provided by the sequencing platform (demultiplexing performed by the sequencing platform). An excel file is also provided to make the link between the fastq file number and the sample information (sample origin, DNA extraction method used, number of raw reads).</p>
Line: Evaluating Software Applications in Unreliable Environments - Data
<p>This dataset release supports the results presented in the paper<br> "LINE: Evaluating Software Applications in Unreliable Environments", by J. F. Perez and G. Casale, accepted in IEEE Transactions on Reliability (TRE). </p> <p>When referring to the dataset or companion software please cite the paper above.</p> <p> </p>
A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling
<p>seq.fasta and P96787_1UAZ.fasta are the input files for I-TASSER suite.</p> <p>The command of running I-TASSER suite:<br> path-to-I-TASSER-dir/I-TASSERmod/runI-TASSER.pl -pkgdir path-to-I-TASSER-dir -libdir path-to-I-TASSER-lib-dir -seqname P96787 -datadir path-to-workdir -outdir path-to-outdir -java_home /usr/ -restraint2 P96787_1UAZ.fasta</p> <p>For detailed data please refer to I-TASSER documentation.</p> <p>The P96787_1UAZ_IT.zip is an archieve with I-TASSER output for the best achaerhodopsin-3 prediciton.</p> <p>SCRIPTS_GENERAL.zip contains all the scripts for the structure postprocessing: addition of hydrogen atoms,<br> chromophore insertion and equilibration, internal waters addition.</p> <p>P96787_wi.pdb is a final prepared structure.</p> <p>Input files for spectra calculations are rhodopsin_gaussian.inp and rhodopsin_orca.inp.</p> <p> </p>
Supplementary information for: "A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling".
<p>This is supplementary data for F1000Research article: A voltage-dependent fluorescent indicator for optogenetic applications, archaerhodopsin-3: Structure and optical properties from in silico modeling.</p> <p>Here are files for modeling archaerhodopsin-3 with I-TASSER, Medeller and RosettaCM algorithms, structure postprocessing and spectra calculations.</p>
Raw data of the experiments in "Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications" (REPPAR workshop at IPDPS 2017)
<p>Raw data of the experiments in "Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications" (REPPAR workshop at IPDPS 2017)</p>
Data supplementing the conference paper "Who you gonna call? Analyzing web requests in Android applications", 14th International Conference on Mining Software Repositories 2017.
<p>This repository contains the data supplementing the paper:</p> <p>M. Rapoport, P. Suter, E. Wittern, O. Lhótak, J. Dolby, "Who you gonna call? Analyzing web requests in Android applications", MSR 2017.</p> <p>A detailed description of the data is included in the archive in README.md.</p>
Raw data of the experiments in "Towards the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications" (ISPDC 2017)
<p>Raw data of the experiments in "Towards the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications" (ISPDC 2017)</p>
AllScale : Data for FINE/Open pilot application
<p>You'll find Two meshes:</p> <ul> <li>A Structured one with 10K cells.</li> <li>An Unstructured one with 1000K cells.</li> </ul> <p> </p> <p>For each mesh 4 configuration files:</p> <ul> <li>Steady / Euler / Single grid / Central Matrix numerical scheme</li> <li>Steady / Navier Stokes / Multigrid / Central Matrix numerical scheme</li> <li>Steady / Spalart Allmaras / Multigrid / Central Matrix numerical scheme</li> <li>Unsteady / Spalart Allmaras / Multigrid / Central Matrix numerical scheme</li> </ul> <p> </p> <p>To run a computation, from the application folder:</p> <ul> <li>Copy the computation run in computation_NS.run</li> <li>Change the path of the mesh in the computation file. </li> <li>Run ut_fine_open_NS_solver. </li> </ul> <p>You can compare the residuals obtained with the one provided. </p> <p> </p> <p> </p>
Data Set of the Thesis "Evaluation of Interaction Concepts in Virtual Reality Applications"
<p>This archive consists of videos files, log files and R tables on which the bachelor thesis 'Evaluation of Interaction Concepts in Virtual Reality Applications' by Hanna Holderied and subsequent publications are based. In addition to recorded data, it also contains the Unity VR application with which the case study of the thesis was performed. For details, please refer to the bachelor thesis published by the University of Goettingen, Institute of Computer Science.</p>
Database Dump of Weather Analytics Application
<p>This SQL file contains a PostgreSQL Database Dump of the Weather Analytics Application (https://doi.org/10.5281/zenodo.804027)</p> <p>The database contains the temperature differences reports of London from 1990 until 1999</p>
Friends of Princeton University Library Research Grant Application
<p>This pdf is the project narrative of the successfully funded application to Princeton University Library entitled “Between City and Cosmos: Mapping Alexandria and the Oikoumene. A Study in Cartographic Heritage,” Rare Book Division, Historic Maps Collection.</p> <p>It was submitted during a two-year MSCA-IF Fellowship at the University of Copenhagen. Project Acronym : Chlamys. Grant Agreement no. 657898.</p> <p>The MSCA Fellow would like to acknowledge the generous funding of the European Commission and thank the Stanley J. Seeger '52 Center for Hellenic Studies Hellenic Studies.</p>
ExaNeSt eXactLab Data Traffic produced by LAMMPS application
<p>LAMMPS is a classical molecular dynamics code that models an ensemble of particles in a liquid, solid, or gaseous state. It can model atomic, polymeric, biological, metallic, granular, and coarse-grained systems using a variety of force fields and boundary conditions This dataset is comprised of traces obtained from application LAMMPS by processing the otf2 output produced by the SCALASCA utility once the LAMMPS code has been instrumented. Specifically, five variants of LAMMPS have been analysed where the node count varies from 24 to 192.</p>
ΕxaNeSt INFN Data Traffic produced by proprietary DPSNN application
<p>DPSNN-STDP is a natively distributed mini-application benchmark representative of plastic spiking neural network simulators. Processes describe synapses in input to cluster of neurons with an irregular interconnection topology, with complex inter-process traffic patterns broadly varying in time and per process. This dataset is comprised of textual data set describing all the details of the inter-processor communication for five different neural network configurations. Each file contains a 3D numerical matrix describing, for each millisecond time-step of simulated neural activity (and for a total duration of 3 seconds of simulation) the size of the payload to be exchanged between all pairs of processes.</p>
ExaNeSt eXactLab Data Traffic produced by REGCM application
<p>RegCM4 is a regional climate model based on the concept of one-way nesting, in which large scale meteorological fields from a Global Climatic Model (GCM) run provide initial and time-dependent meteorological boundary conditions for high resolution simulations without any active feedback. This dataset is comprised of traces obtained from application REGCM by processing the otf2 output produced by the SCALASCA utility once the REGCM code has been instrumented. The otf2 data have been processed by a script provided by WP3 to extract valuable information written in ASCII. (See pdf included in the data set for more information).</p>
(DATA) Adsorption Behavior of Greenhouse Gases on Carbon Nanobelts: A Semi-Empirical Tight-Binding Approach for Environmental Application
<ul> <li>Input structures.</li> <li>Scripts to generate some inputs.</li> <li>Script to run all the calculations.</li> <li>Scripts to run analysis.</li> <li>Molecular dynamics trajectories (in PDB and TRJ formats)</li> <li>Molecular dynamics animations (in MP4 format)</li> </ul>
JEDI-MPAS Test and Application Files
JEDI-MPAS is the interface between the generic components of the Joint Effort for Data assimilation Integration (JEDI) system and the atmospheric core of the Model for Prediction Across Scales (MPAS). The JEDI software package is a unified, innovative data assimilation system for Earth System Prediction. Developed and distributed by UCP's Joint Center for Satellite Data Assimilation (JCSDA), JEDI is versatile and sophisticated enough for a variety of applications, from operational weather forecasting and atmospheric research on High Performance Computing (HPC), to learning the fundamentals of data assimilation by running idealized toy models on your laptop. The atmospheric component of MPAS is a non-hydrostatic model using an unstructured centroidal Voronoi mesh with smoothly varying resolution for global or regional domains. The primary development partners for MPAS are Los Alamos National Laboratory and the National Center for Atmospheric Research. This data set provides example observation files, model backgrounds, and other input files needed to run a variety of JEDI-MPAS applications, including the comprehensive suite of unit tests and example activities that are described in online tutorials. This data set accompanies JEDI-MPAS, version 1.0.0, released 24 September 20.
JEDI Test and Application files
The Joint Effort for Data assimilation Integration (JEDI) software package is a unified, innovative data assimilation system for Earth System Prediction. Developed and distributed by UCP's Joint Center for Satellite Data Assimilation (JCSDA), JEDI is versatile and sophisticated enough for a variety of applications, from operational weather forecasting and atmospheric research on High Performance Computing (HPC) platforms to learning the fundamentals of data assimilation by running idealized toy models on your laptop. This data set provides example observation files, model backgrounds, and other input files needed to run a variety of JEDI applications, including the comprehensive suite of unit tests and example activities that are described in online tutorials. This data set accompanies JEDI-FV3, version 1.1, released on June 11, 2021.
JEDI-SkyLab Test and Application files
The Joint Effort for Data assimilation Integration (JEDI) software package is a unified, innovative data assimilation system for Earth System Prediction. Developed and distributed by UCP's Joint Center for Satellite Data Assimilation (JCSDA), JEDI is versatile and sophisticated enough for a variety of applications, from operational weather forecasting and atmospheric research on High Performance Computing (HPC) platforms to learning the fundamentals of data assimilation by running idealized toy models on your laptop. This data set provides example observation files, model backgrounds, and other input files needed to run a variety of JEDI applications, including the comprehensive suite of unit tests and example activities that are described in online tutorials. This data set accompanies JEDI-SkyLab, version 2.0.0, released in October 2022.
Ground-dwelling invertebrates and plants following the application of inverted soil mounding on seismic lines
<p><span>In northern Alberta, Canada, much of treed boreal peatlands are fragmented by seismic lines – linear disturbances where trees and shrubs are cleared for the exploration of fossil fuel reserves. Seismic lines have been shown to have slow tree regeneration, likely due to the loss of microtopography during the creation of seismic lines. Inverted soil mounding is one of the treatments commonly applied in Alberta to restore seismic lines and to mitigate the use of these corridors by wildlife and humans. In 2018, we assessed the effects of mounding on understory plants and arthropod assemblages, three years after treatment application. We sampled in five mounded and five untreated seismic lines, and in their adjacent treed fens (reference fens) within the <span>Canadian Natural Resources Ltd (CNRL) Kirby South in-situ steam-assisted gravity drainage (SAGD) Plant, in the Athabasca oil sands (55°22'37.2" N, 111°10'3" W) of NW Alberta</span>. Here we provide the species composition at these sites.</span></p>
Dataset for the Paper: Issues and Their Causes in WebAssembly Applications: An Empirical Study
<p>This dataset accompanies the paper titled 'Issues and Their Causes in WebAssembly Applications: An Empirical Study.' The dataset is stored in a Microsoft Excel file, which comprises multiple worksheets. A brief description of each worksheet is provided below.</p><p>(1) The '<strong>Selected Systems</strong>' worksheet contains information on the 12 chosen open-source WebAssembly applications, along with the URL for each application.</p><p>(2) The '<strong>GitHub-Raw Data</strong>' worksheet contains information on the initially retrieved 6,667 issues, including the titles, links, and statuses of each individual issue discussion.</p><p>(3) The '<strong>SOF-Raw Data</strong>' worksheet contains information on the initially retrieved 6,667 questions and answers, including the details of each question and answer, respective links, and associated tags.</p><p>(4) The '<strong>GitHubData Random Selected</strong>' worksheet contains a list of issues randomly selected from the initial pool of 6,667 issues, as well as extracted data from the discussions associated with these randomly selected issues.</p><p>(5) The '<strong>GitHub-(Issues, Causes)</strong>' worksheet contains the initial codes categorizing the types of issues and causes.</p><p>(6) The '<strong>SOF (Issues, Causes)</strong>' worksheet contains information gleaned from a randomly selected subset of 354 Stack Overflow posts. This information includes the title and body of each question, the associated link, tags, as well as key points for types of issues and causes.</p><p>(7) The '<strong>Combine (Git and SOF) Data</strong>' worksheet contains the compiled issues and causes extracted from both GitHub and Stack Overflow.</p><p>(8) The <strong>'Issue Taxonomy</strong>' worksheet contains a comprehensive issue taxonomy, which is organized into 9 categories, 20 subcategories, and 132 specific types of issues.</p><p>(9) The '<strong>Cause Taxonomy</strong>' worksheet contains a comprehensive cause taxonomy, which is organized into 10 categories, 35 subcategories, and 283 specific types of causes.</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.