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ShareScore release 0.9.0
Dataset results
42 results for “random walk”
Data from: The walk is never random: subtle landscape effects shape gene flow in a continuous white-tailed deer population in the Midwestern United States
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Relaxed random walks at scale
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MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Spins
<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo spin model of Benson, Behrens, & Lu (2020; https://arxiv.org/abs/2001.09208). See the README file for details.</p>
MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Concentrations
<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo concentration model of Johnson, Benson, & Grin (2020; https://arxiv.org/abs/2006.15231). See the README file for details.</p>
FedUP: A Pay-as-you-go Federated SPARQL Query Engine Powered by Random Walks
<p>This repository contains all the queries and datasets used to generate the figures presented in the experimental study of the "FedUP: A Pay-as-you-go Federated SPARQL Query Engine Powered by Random Walks" paper. The data comes from the <a href="https://github.com/dice-group/LargeRDFBench">LargeRDFBench</a> and <a href="https://github.com/MaastrichtU-IDS/federatedQueryKG/blob/main/usecaseFedShop.md">FedShop</a> benchmarks. Datasets have been cleaned to be ingested in tested federated query engines. More details are available in the paper and the <a href="https://github.com/GDD-Nantes/FedUP-experiments">GitHub repository</a>.</p> <p><strong>queries.tar.gz: </strong>LargeRDFBench and FedShop queries.</p> <p><strong>datasets.tar.gz: </strong>Cleaned LargeRDFBench and FedShop datasets.</p> <p><strong>summaries.tar.gz: </strong>Pre-built summaries for tested federated query engines such as <a href="https://2014.eswc-conferences.org/sites/default/files/papers/paper_50.pdf">HiBiSCuS</a> and <a href="https://svn.aksw.org/papers/2018/SEMANTICS_CostFed/public.pdf">CostFed</a>. </p>
A Randomized Controlled Trial of a Multicomponent Walking Aid Program for People With MS
ClinicalTrials.gov study NCT04145934. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Equivalence between step selection functions and biased correlated random walks for statistical inference on animal movement
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Data from: A relaxed directional random walk model for phylogenetic trait evolution
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Randomized Trial of Nordic Walking vs. Standard Cardiac Rehabilitation in Patients With Heart Failure
ClinicalTrials.gov study NCT02061319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Walking in Greenspace and the Built Environment in Adults With Prediabetes: A Randomized Crossover Trial
ClinicalTrials.gov study NCT06365723. IPD Sharing: NO. Countries: 1. Publications: 0.
Randomized Controlled Trial of Early Intensive Leg Exercise to Improve Walking in Children With Diplegia
ClinicalTrials.gov study NCT03672877. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effects of Nordic Walking and Exercise on Glucose Metabolism in Type 2 Diabetes Mellitus: A Randomized Controlled Trial
ClinicalTrials.gov study NCT01085773. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Postprandial Walking in Obese Pregnant Women and Perinatal Outcomes - a Multicenter Randomized Clinical Trial
ClinicalTrials.gov study NCT02180152. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Brisk Walking Training Compared with Cognitive Behavioral Therapy for the Treatment of Chronic Primary Insomnia in People Aged 60 Years or Above: a Randomized, Partially Blinded, Non-inferiority Trial
ClinicalTrials.gov study NCT06850272. IPD Sharing: NO. Countries: 1. Publications: 0.
Randomized Battery Usage 1: Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW9, RW10, RW11 and RW12) were continuously operated using a sequence of charging and discharging currents between -4.5A and 4.5A. This type of charging and discharging operation is referred to here as random walk (RW) operation. Each of the loading periods lasted 5 minutes, and after 1500 periods (about 5 days) a series of reference charging and discharging cycles were performed in order to provide reference benchmarks for battery state health.
Randomized Battery Usage 3: Room Temperature Variable Recharge Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW1, RW2, RW7 and RW8) were continuously operated by repeatedly discharging them to 3.2V using a randomized sequence of discharging currents between 0.5A and 4A. This type of discharging profile is referred to here as random walk (RW) discharging. After each discharging cycle the batteries were charged for a randomly selected duration between 0.5 hours and 3 hours. After every fifty RW cycles a series of reference charging and discharging cycles were performed in order to provide reference benchmarks for battery state health.
Randomized Battery Usage 5: High Temperature Right-Skewed Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW17, RW18, RW19 and RW20) were continuously operated by repeatedly charging them to 4.2V and then discharging them to 3.2V using a randomized sequence of discharging currents between 0.5A and 5A. This type of discharging profile is referred to here as random walk (RW) discharging. A customized probability distribution is used in this experiment to select a new load setpoint every 1 minute during RW discharging operation. The custom probability distribution was designed to be skewed towards selecting higher currents.
Randomized Battery Usage 7: Low-Temperature Left-Skewed Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW13, RW14, RW15 and RW16) were continuously operated by repeatedly charging them to 4.2V and then discharging them to 3.2V using a randomized sequence of discharging currents between 0.5A and 5A. This type of discharging profile is referred to here as random walk (RW) discharging. A customized probability distribution is used in this experiment to select a new load setpoint every 1 minute during RW discharging operation. The custom probability distribution was designed to be skewed towards selecting lower currents.
Randomized Battery Usage 2: Room Temperature Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW3, RW4, RW5 and RW6) were continuously operated by repeatedly charging them to 4.2V and then discharging them to 3.2V using a randomized sequence of discharging currents between 0.5A and 4A. This type of discharging profile is referred to here as random walk (RW) discharging. After every fifty RW cycles a series of reference charging and discharging cycles were performed in order to provide reference benchmarks for battery state health.
Randomized Battery Usage 4: 40C Right-Skewed Random Walk
This dataset is part of a series of datasets, where batteries are continuously cycled with randomly generated current profiles. Reference charging and discharging cycles are also performed after a fixed interval of randomized usage to provide reference benchmarks for battery state of health. In this dataset, four 18650 Li-ion batteries (Identified as RW25, RW26, RW27 and RW28) were continuously operated by repeatedly charging them to 4.2V and then discharging them to 3.2V using a randomized sequence of discharging currents between 0.5A and 5A. This type of discharging profile is referred to here as random walk (RW) discharging. A customized probability distribution is used in this experiment to select a new load setpoint every 1 minute during RW discharging operation. The custom probability distribution was designed to be skewed towards selecting higher currents. The ambient temperature at which the batteries are cycled was held at approximately 40C for these experiments.
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.