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20 results for “online processing”
Evaluation datasets and results of the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing"
<p>Event logs, process models, and results corresponding to the paper "Efficient Online Computation of Business Process State From Trace Prefixes via N-Gram Indexing".</p> <p><em><strong>Inputs</strong></em>: preprocessed event logs and discovered process models (and their characteristics) used in the evaluation.</p> <ul> <li><em><strong>Real-life</strong></em>: preprocessed event logs (<em>xes</em> and <em>csv</em>) corresponding to the real-life processes used in the evaluation. Process models (<em>pnml</em>) discovered with the Inductive Miner infrequent for thresholds of 10%, 20%, and 50%. Characteristics (<em>txt</em>) of the event logs and process models. Ongoing cases result from splitting each case in the preprocessed event logs (under folder <em>split</em>).</li> <li><em><strong>Synthetic</strong></em>: simulated event logs (<em>csv</em>) corresponding to the synthetic processes used in the evaluation. Designed process models (<em>bpmn</em> and <em>pnml</em>). Ongoing cases result from splitting each case in the preprocessed event logs (under folder <em>split</em>). Ongoing cases with injected noise as described in the publication (under folders <em>noise_1</em>, <em>noise_2</em>, and <em>noise_3</em>).</li> </ul>
Online Appendix and Cetacean Datasets for: The Occurrence Birth-Death Process for combined-evidence analysis in macroevolution and epidemiology
<p>Phylodynamic models generally aim at jointly inferring phylogenetic relationships, model parameters, and more recently, the number of lineages through time, based on molecular sequence data. In the fields of epidemiology and macroevolution these models can be used to estimate, respectively, the past number of infected individuals (prevalence) or the past number of species (paleodiversity) through time. Recent years have seen the development of "total-evidence" analyses, which combine molecular and morphological data from extant and past sampled individuals in a unified Bayesian inference framework. Even sampled individuals characterized only by their sampling time, i.e. lacking morphological and molecular data, which we call occurrences, provide invaluable information to reconstruct the past number of lineages.</p> <p>Here, we present new methodological developments around the Fossilized Birth-Death Process enabling us to (i) incorporate occurrence data in the likelihood function; (ii) consider piecewise-constant birth, death and sampling rates; and (iii) reconstruct the past number of lineages, with or without knowledge of the underlying tree. We implement our method in the RevBayes software environment, enabling its use along with a large set of models of molecular and morphological evolution, and validate the inference workflow using simulations under a wide range of conditions.</p> <p>We finally illustrate our new implementation using two empirical datasets stemming from the fields of epidemiology and macroevolution. In epidemiology, we infer the prevalence of the COVID-19 outbreak on the Diamond Princess ship, by taking into account jointly the case count record (occurrences) along with viral sequences for a fraction of infected individuals. In macroevolution, we infer the diversity trajectory of cetaceans using molecular and morphological data from extant taxa, morphological data from fossils, as well as numerous fossil occurrences. The joint modeling of occurrences and trees holds the promise to further bridge the gap between between traditional epidemiology and pathogen genomics, as well as paleontology and molecular phylogenetics.</p>
Online Appendix and Cetacean Datasets for: The Occurrence Birth-Death Process for combined-evidence analysis in macroevolution and epidemiology
Open the record for dataset details and reuse information.
The Effect of an Online ACT Intervention on Meaning-Making Process in Cancer Patients Following Hematopoietic Cell Transplantation
ClinicalTrials.gov study NCT06266182. IPD Sharing: YES. Countries: 1. Publications: 1.
Effects of topicality in the Interpretation of implicit consequentiality: Evidence from offline and online referential processing in Korean
<p>This supplementary material contains data files and R scripts that accompany the article to be published in Linguistics (volume 61, 2023).</p>
Online Appendix for the HICSS2025 Paper: Bridging Citizens and Public Sector Employees through an Open Employee-driven Innovation Process - A Design Science Research Study
<p>Online Appendix for the HICSS2025 Paper: Bridging Citizens and Public Sector Employees through an Open Employee-driven Innovation Process - A Design Science Research Study</p>
Online Parent-Report Evaluation of the Effects of Processed Music
ClinicalTrials.gov study NCT05249270. IPD Sharing: NO. Countries: 1. Publications: 2.
Online Trial Examining Validity and Reliability of the Shared Decision Making Process Survey
ClinicalTrials.gov study NCT04317690. IPD Sharing: YES. Countries: 1. Publications: 0.
Online Intervention for Reduction of Ultra-processed Products and Increase of Physical Activity in University Students
ClinicalTrials.gov study NCT05834842. IPD Sharing: YES. Countries: 0. Publications: 11.
A Health Action Process Approach Online Intervention for People With Multiple Sclerosis
ClinicalTrials.gov study NCT05124522. IPD Sharing: YES. Countries: 1. Publications: 1.
Online Trial Examining Validity of the Shared Decision Making Process Survey With Video Vignettes
ClinicalTrials.gov study NCT04317274. IPD Sharing: YES. Countries: 1. Publications: 0.
Contribution of Online Stress and Pain Mindfulness Treatment to ACT Process Change and Outcomes in Chronic Pain
ClinicalTrials.gov study NCT05498454. IPD Sharing: Not stated. Countries: 1. Publications: 29.
Online repository for: "Dielectrophoretic particle chromatography: From batch processing to semi-continuous high throughput separation"
<p>Please check the readme.odt file for details.</p>
Process Mining Algorithm for Online Intrusion Detection System
<p>The pre-processed data we used in the paper.</p>
Improving the Process of Shared Decision-Making by Integrating Online Structured Information and Self-Assessment Tools
<p>Data of the SDM cases.</p>
Decision-Making Processes While Online Grocery Shopping
ClinicalTrials.gov study NCT03248583. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Teleaudiology: Investigating the Online Applicability of Central Auditory Processing Tests
ClinicalTrials.gov study NCT07053280. IPD Sharing: NO. Countries: 1. Publications: 0.
Self-Management Training With Online Intervention Process for Young Adults With Chronic Conditions
ClinicalTrials.gov study NCT06298175. IPD Sharing: NO. Countries: 1. Publications: 0.
Cognitive and Affective Processes Online
ClinicalTrials.gov study NCT05736471. IPD Sharing: Not stated. Countries: 1. Publications: 0.
EU CONSUMER PERCEPTIONS ON THE AUTHENTICATION OF PROCESSED CHINESE GARLIC WITH A FOOD FRAUD TEST: AN ONLINE SURVEY
<p>This dataset explores EU consumer perceptions (n=574 from Germany/UK) of processed Chinese garlic. It investigates if the provision of traceability and authenticity information can enhance consumer trust in the food chain, as well as add value and increase sales.</p> <p>An online panel provider recruited the participants and hosted the online data collection during April 2021.</p>
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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.