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174
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Dataset results
174 results for “online data”
Data for thesis: Online Discovery and Model-to-Model Comparison of DCR Models from Event Streams
<p>This is the collection of data referenced in the Thesis</p>
Data from: Online spatial normalization for real-time fMRI
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Automated, quantitative pupillometry in the critically ill: a systematic review of the literature: online supplementary data
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Data from: Dynamics and biases of online attention: the case of aircraft crashes
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Data from: Optimizing mouse surgery with online rectal temperature monitoring and preoperative heat supply. Effects on post-ischemic acute kidney injury.
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Data from: How the online social networks are used: dialogs-based structure of MySpace
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Data from: Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI.
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Data from: Faithfulness-boost effect: loyal teammate selection correlates with skill acquisition improvement in online games
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Data from: Sex-related online behaviors, perceived peer norms and adolescents’ experience with sexual behavior: testing an integrative model
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Data from: Mindfulness online: a preliminary evaluation of the feasibility of a web-based mindfulness course and the impact on stress
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Data from: Interprofessional online learning for primary healthcare: findings from a scoping review
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Data from: Effective online Bayesian phylogenetics via sequential Monte Carlo with guided proposals
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Data from: Women are seen more than heard in online newspapers
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Data from: Prevention of ventilator-associated pneumonia in intensive care units: an international online survey
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Data from: Tweeting birds: online mentions predict future citations in ornithology
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Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors -- Rosbag data
<p>This is the rosbag data accompanying the IROS 2014 paper "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors"</p>
Code, benchmarks and experiment data for the IPC 2018 entry "Delfi: Online Planner Selection for Cost-Optimal Planning"
<p>This bundle contains code, scripts and benchmarks for reproducing all experiments reported in the paper. It also contains the data generated for the paper.</p> <p>katz-et-al-icp2018-delfi.zip and katz-et-al-icp2018-delf2.zip contain the implementation based on Fast Downward (the two folders only differ in how the planner selection works). It also contains the experiment scripts (hopefully) compatible with Lab 2.1 for reproducing all experiments of the paper, under experiments/ipc2018.</p> <p>katz-et-al-ipc2018-scripts.zip contain all scripts for the learning pipeline used to train the planner selection models.</p> <p>katz-et-al-icp2018-benchmarks.zip contains the benchmarks. It consists of the IPC benchmarks used in all optimal sequential tracks of IPCs up to 2014 (suite optimal from https://github.com/aibasel/downward-benchmarks).</p> <p>katz-et-al-icp2018-lab.zip contains a copy of Lab 2.1 (https://github.com/aibasel/lab).</p> <p>katz-et-al-icp2018-raw-data.zip and katz-et-al-icp2018-parsed-data.zip contain the experimental data. Directories in katz-et-al-icp2018-raw-data.zip (without the "-eval" ending) contain raw data, distributed over a subdirectory for each experiment. Each of these contain a subdirectory tree structure "runs-*" where each planner run has its own directory. For each run, there are symbolic links to the input PDDL files domain.pddl and problem.pddl (can be resolved by putting the benchmarks directory to the right place), the run log file "run.log" (stdout), possibly also a run error file "run.err" (stderr), the run script "run" used to start the experiment, and a "properties" file that contains data parsed from the log file(s). Directories in katz-et-al-icp2018-parsed-data.zip (with the "-eval" ending) contain a "properties" file, which contains a JSON directory with combined data of all runs of the corresponding experiment. In essence, the properties file is the union over all properties files generated for each individual planner run.</p> <p>The image data set used for training can be found online: https://github.com/IBM/IPC-image-data</p> <p>Note on license: we chose GPL v3.0 or later mainly because we consider our implementation based on Fast Downward the main contribution of this package, and Fast Downward comes with GPL v3.0. We only include a copy of Lab and the benchmarks for convenience.</p> <p> </p>
Data Sets for "Online Charge Measurement for Petawatt Laser-Driven Ion Acceleration" (submitted manuscript)
<p>The data presented in the paper titled "Online Charge Measurement for Petawatt Laser-Driven Ion Acceleration" is provided in this data repository.</p> <p>The data is sorted into subfolders according to their presentation in the figures of the paper.</p>
Supplementary Online Data for Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization
<p>Processed data and scripts, as well as the the figures and tables for <em>Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization</em>. The <em>zip</em> file contains three subfolders for <em>Chapter 3</em>, <em>Chapter 4</em>, <em>Chapter 5</em> of <em>Characterizing the hologenome of L. pustulata and tracing genomic footprints of lichenization</em>. Each subfolder comes with its own <em>README.md</em> further describing its contents.</p> <p>Furthermore the read mappings against <em>Lasallia pustulata</em> individually, as well as the ones used for the <em>anvi´o</em> visualization, which include <em>L. pustulata</em>, <em>Trebouxia sp.</em> as well as the 499 bacterial scaffolds are given. The <em>Trinity</em> RNAseq assemblies (guided and unguided) are given too.<br> </p>
Figure 6 from: Senderov V, Georgiev T, Penev L (2016) Online direct import of specimen records into manuscripts and automatic creation of data papers from biological databases . Research Ideas and Outcomes 2: e10617. https://doi.org/10.3897/rio.2.e10617
Figure 6 - The user interface field for uploading EML files into ARPHA.
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.