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477 results for “input data”
TLS_input_data_Ciarella_et_al_2023
<p>Preprocessed pairs for TLS search</p>
Input Data for: On the External Validity of Average-Case Analyses of Graph Algorithms
<p><strong>Data</strong></p> <p>All networks from <a href="https://networkrepository.com"><code>networkrepository.com</code></a> [1] with at most 1M edges (fall 2020). Weights and edge directions have been removed. For graphs with isomorphic largest connected component, only one copy has been kept.</p> <p>This is the raw data necessary to reproduce our experiments in <em>On the External Validity of Average-Case Analyses of Graph Algorithms</em>.</p> <p>[1] Ryan A. Rossi and Nesreen K. Ahmed, <em>The Network Data Repository with Interactive Graph Analytics and Visualization</em> (AAAI 2015)</p>
Input data for Episim Cologne Corona spreading simulation
<p>This dataset is supplementary material for</p> <ul> <li>Müller, S.A., Paltra, S., Rehmann, J., Nagel, K., Conrad, T.O.F. Explicit modeling of antibody levels for infectious disease simulations in the context of SARS-CoV-2. iScience. 2023;26(9):107554. <a href="https://doi.org/10.1016/j.isci.2023.107554">https://doi.org/10.1016/j.isci.2023.107554</a></li> </ul> <p>The dataset is also used in the <strong>Math+ project EF4-13 "Modeling Infection Spreading and Counter-Measures in a Pandemic Situation Using Coupled Models"</strong> to perform the epidemic simulation studies for Cologne. </p> <p>The open dataset contains a 25 percent sample of the original dataset. The code for running the simulation is also available in this Github repository: <a href="https://github.com/matsim-org/matsim-episim">https://github.com/matsim-org/matsim-episim</a>. </p> <p>For the terms of use, please see the associated LICENSE file.</p> <p>More information can be found on our website: <a href="https://covid-sim.info/">https://covid-sim.info/</a>. If you have questions, please contact <a href="mailto:covid19@vsp.tu-berlin.de">covid19@vsp.tu-berlin.de</a> .</p> <p>Available files:</p> <ul> <li>cologne_snz_entirePopulation_emptyPlans_withDistricts_25pt_split.xml.gz: Population including all persons having activities in one of the events files. The person attributes are homeId, homeCoordinates, age, district of home. The coordinates are in grid accuracy of 300m.</li> <li>cologne_snz_episim_events_sa_25pt_split.xml.gz cologne_snz_episim_events_so_25pt_split.xml.gz cologne_snz_episim_events_wt_25pt_split.xml.gz The episim events files for a weekday, Saturday and Sunday. The events files are filtered for the only necessary types of events (actend, actstart, PersonEntersVehicle, PersonLeavesVehicle).</li> <li>cologne_2020-vehicles.xml.gz File includes a mapping of vehiclesIds to the vehilce type.</li> <li>cologne_facilities_assigned_simplified_grid.xml.gz Including the facilities used in the evnts files. The coordinates are in grid accuracy of 300m.</li> <li>cologne_until20221231_mobility_data.csv Daily mobility data for Cologne for the simulated period.</li> </ul>
Data inputs and analysis script to assess the performance of ASReview
<p>The aim of this analysis was to investigate the performance of ASReview for screening titles and abstracts when performing a systematic literature review of health economic evaluations. To do this, the simulation function within ASReview was used to determine the order in which articles were presented to the reviewer. Moreover, two types of stopping rules were applied on screening with ASReview, and the accuracy and efficiency were determined using retrospective analysis. The analyis is described in detail in: Oude Wolcherink MJ, Pouwels XGLV, van Dijk SHB, Doggen CJM, Koffijberg H. Health Economic Research Can artificial intelligence separate the wheat from the chaff in systematic reviews of health economic articles? Expert Review of Pharmacoeconomics & Outcomes Research. Augustus 2023 doi: 10.1080/14737167.2023.2234639.</p> <p>The 'Assess performance ASReview.zip' file includes input data used for the analysis described above and scripts to perform the analysis and to generate the figures shown in the article above. You are also able to adapt the scripts to perform your own analysis on your own data. Please, read the README file careful and follow the steps indicated there.</p>
Isosceles paper mouse E18 brain scRNA-Seq (Lebrigand et al.) data analysis input files
<p>Mouse E18 brain scRNA-Seq (Lebrigand et al.) data analysis input files for the Isosceles paper - more details can be found in the <a href="https://github.com/Genentech/Isosceles_Paper" target="_blank" rel="noopener">Isosceles_Paper</a> repository.</p>
Input data for short-term water level forecasting at 3 stations near HWY 37, Sonoma/Marin County, California
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Data for: Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence
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Data from: Stable isotopes reveal links between human food inputs and urban ant diets
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Data from: Input matters matter: bioclimatic consistency to map more reliable species distribution models
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Data from: Do microorganism stoichiometric alterations affect carbon sequestration in paddy soil subjected to phosphorus input?
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Data from: Multi-alternative decision making with non-stationary inputs
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Input data for estimating dimensionless number (Reynolds, Swimming and Strouhal number) of swimming penguin
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Niche differentiation in the bank vole: Maxent input and output data
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Data from: Fatal attraction: vegetation responses to nutrient inputs attract herbivores to infectious anthrax carcass sites
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Data from: Reduced tillage, but not organic matter input, increased nematode diversity and food web stability in European long-term field experiments
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Data from: Can above-ground ecosystem services compensate for reduced fertilizer input and soil organic matter in annual crops?
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Simulation input and out and data analysis for calculating partition coefficients of small molecules in octanol/water and cyclohexane/water
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Input data of phylogenetic field analysis for exotic seed plants in Japan
<p>This release includes the dataset for evaluating phylogenetic fields of exotic plant species in Japan: co-occurrence matrices between Japanese native species (exotic vs all native seed plants at 10 km grid cells; exotic vs endemic native seed plants at 10 km grid cells; exotic vs all native seed plants at vegetation plots; exotic vs endemic native seed plants at vegetation plots), exotic species list with their species attributes (geographical extent within Japan, climatic niche widths, minimum residential time, disturbance dependency, origin place, and mean phylogenetic distance from their native recipients), and phylogenetic tree for native and exotic seed plants. </p>
Data_Effects of input modality on vocal effector prioritization in manual-vocal dual tasks
<p>Dual-task costs in RTs and error rates compared between effector systems in vocal-manual dual-tasks using either only auditory or only visual stimuli for both responses</p>
Making the sun shine at night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage: Balmorel input data revised
<p><strong>Description of the dataset</strong></p> <p>This dataset holds all Balmorel model input data as well as the Balmorel code used for the scenarios of the paper 'Making the Sun Shine at Night: Comparing the Cost of Dispatchable Concentrating Solar Power and Photovoltaics with Storage' submitted to 'Energy Sources, Part B: Economics, Planning, and Policy.'</p> <p><strong>Data format</strong></p> <p>We provide the data in form of the data folders holding the .inc files for all scenarios.</p> <p>The original Balmorel source code is available under https://github.com/balmorelcommunity/Balmorel under the ISC license. It was adapted in order to include a new technology generating electricity from heat (GETOH). The inputs for this development were kindly supported by DTU, Ea Energy Analyses and Jasper Geipel (TU Wien) with previously done works.</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.