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19 results for “Shared Control”

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zenodo40/100

SYNTHETIC dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"

<p>SYNTHETIC dataset&nbsp;to replicate the results in &quot;Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis&quot;, accepted to IEEE/RSJ IROS 2022.</p> <p>In order to fully reproduce the experiments, download also the REAL&nbsp;dataset.&nbsp;</p> <p>To automatically download the REAL and SYNTHETIC dataset, run the script provided at the link below.</p> <p>Code to replicate the results available at: https://github.com/hsp-iit/prosthetic-grasping-experiments</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

REAL dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"

<p>REAL dataset&nbsp;to replicate the results in &quot;Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis&quot;, accepted to IEEE/RSJ IROS 2022.</p> <p>In order to fully reproduce the experiments, download also the SYNTHETIC dataset.&nbsp;</p> <p>To automatically download the REAL and SYNTHETIC dataset, run the script provided at the link below.</p> <p>Code to replicate the results available at: https://github.com/hsp-iit/prosthetic-grasping-experiments</p>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Data files related to the article "Different meditation practices share the same neuronal correlates: increased gamma brainwave amplitude compared to control in three different meditation traditions

<p>Files description:</p> <p>- EEG datasets: the EEG data preprocessed in EEGLAB format</p> <p>- chanlocs.mat: contains channel characteristics for the study / used<br>  to plot topographical maps of the data</p> <p> - 60110Hz_spec_data_imw_medit_combined.mat : contains spectrum data between 60 and 110 Hz for all 4 groups of subjects in combined instructed mind-wandering and meditation condition</p> <p> - 60110Hz_spec_data_medit.mat : contains spectrum data between 60<br>  and 110 Hz for all 4 groups of subjects in meditation condition</p> <p> - 711Hz_spec_data_medit: contains spectrum data between 7 and 11 Hz for  each group in meditation condition</p> <p>- boxplot_gamma.csv and boxplot_alpha.csv :  median spectrum in the gamma and alpha ranged used to generate figure 4 B and 6 B</p> <p>- R_code_boxplot.r : code to generate boxplot using boxplot_gamma or boxplot_alpha.csv files</p>

opencc-by-4.0Jul 2016View details →
zenodo32/100

Appendix to "Process Mining Pipelines with Controlled Sharing of Data and Algorithms"

<p><strong>Abstract: </strong>Process mining leverages execution traces within an organisation's IT systems to gain insights into its processes. Despite being a mature discipline in academia and industry, setting up process mining pipelines is still a complex task and involves programming, manual steps, and considerations of privacy and intellectual property.</p> <p>This paper introduces a platform based on a distributed architecture that helps define, deploy, and execute process mining pipelines across organisations. The requirements for this distributed architecture and platform are derived from a set of process mining scenarios, whose relevance is validated through a survey.</p> <p>Furthermore, this paper introduces a prototype for an initial version of the platform, demonstrating feasibility and supporting the specified requirements. This development is a major step in advancing process mining, offering simpler and more efficient ways of implementing and managing complex process mining pipelines on a larger scale.</p> <p><strong>Description: </strong>This dataset presents the support for non-functional requirements identified in the paper "Process Mining Pipelines with Controlled Sharing of Data and Algorithms" by existing process mining platforms.</p> <p><strong>Legend:</strong> Green cells indicate complete fulfilment. Yellow indicates partial fulfilment. Blue cells indicate uncertain fulfilment. Red indicates no fulfilmnet.</p>

opencc-by-4.0Jun 2024View details →
zenodo32/100

Shared Control Authority ESR 10

<p>Experimental validation of shared control authority algorithm for autonomous vehicles.</p>

opencc-by-4.0Jun 2019View details →
ClinicalTrials.gov32/100

Feasibility Testing a shareD dEciSIon Making Intervention for People With Kidney failuRE, Their Relatives, and the Health Professionals in Kidney Services: a Pilot Randomized Controlled Trial Study Pr

ClinicalTrials.gov study NCT05842772. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Actions to Decrease Disparities in Risk and Engage in Shared Support for Blood Pressure Control (ADDRESS-BP) in Blacks

ClinicalTrials.gov study NCT05208450. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Shared Decision Making for Prostate Cancer Screening: a Practice-Based Randomized Controlled Trial

ClinicalTrials.gov study NCT00630188. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo28/100

Code and data sharing for manuscript titled "Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2"

<p>Code and data sharing for manuscript titled &quot;Transmission heterogeneities, kinetics, and controllability of SARS-CoV-2&quot;.</p>

opencc-by-4.0Oct 2020View details →
ClinicalTrials.gov28/100

Empowering Veterans to Actively Communicate and Engage in Shared Decision Making in Medical Visits, A Randomized Controlled Trial

ClinicalTrials.gov study NCT05169359. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

Evaluation of Vision-Guided Shared Control for Assistive Robotics Manipulators

ClinicalTrials.gov study NCT04323449. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

Morphogenesis and regeneration share a conserved core transition cell state program that control lung epithelial cell fate

GEO Series GSE254356. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJun 2024View details →
geo24/100

Cell-specific and shared regulatory elements control a multi-gene locus active in mammary and salivary glands

GEO Series GSE231441. Mus musculus. 167 samples. Type: Methylation profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
geo24/100

Cell-specific and shared regulatory elements control a multi-gene locus active in mammary and salivary glands [RNA-Seq]

GEO Series GSE231440. Mus musculus. 38 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
ClinicalTrials.gov24/100

Defining, Evaluating, and Sharing Methodologies for Quality Control in Diagnostic Imaging

ClinicalTrials.gov study NCT05770024. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Cell-specific and shared regulatory elements control a multi-gene locus active in mammary and salivary glands [ChIP-Seq]

GEO Series GSE231439. Mus musculus. 124 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
geo20/100

Cell-specific and shared regulatory elements control a multi-gene locus active in mammary and salivary glands [Bisulfite-seq]

GEO Series GSE231438. Mus musculus. 5 samples. Type: Methylation profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
ClinicalTrials.gov20/100

Impact of Shared Decision-Making With Decision Aids on Acoustic Neuroma Treatment Choice: A Randomized Controlled Trial

ClinicalTrials.gov study NCT04101409. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo20/100

Histone/Protein Deacetylase-6, -9, and Sirtuin-1 Control Foxp3+ Treg Through Shared and Isotype-Specific Mechanisms

GEO Series GSE36095. Mus musculus. 6 samples. Type: Expression profiling by array.

openGEO-OpenJun 2012View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record