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101
datasets available to search
ShareScore release 0.9.0
Dataset results
101 results for “workload”
Diagnostic Value of Workload Analysis Instrument to Detect Occupational Risks of Upper Limb Musculoskeletal Conditions
ClinicalTrials.gov study NCT03108612. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Impact of AI Assistance on Workload Associated w Preparation of Rare Tumor Case Repts
ClinicalTrials.gov study NCT06026098. IPD Sharing: NO. Countries: 1. Publications: 0.
Assessment of the Prosthetic System Impact on Mental Workload in Above-knee Lower Limb Amputees.
ClinicalTrials.gov study NCT06635655. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Combined Effects of Acute Sleep Restriction and Moderate Acceleration (+Gz) on Physiological and Behavioral Responses to High Mental Workload
ClinicalTrials.gov study NCT06017882. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Effects of Breakfast on Mental Workload
ClinicalTrials.gov study NCT01555385. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Routine Pathological Examination of Hernia Sac; Is it a Workload or Necessary?
ClinicalTrials.gov study NCT04383249. IPD Sharing: NO. Countries: 1. Publications: 0.
Physical Workload and Work Capacity Across Occupational Groups
ClinicalTrials.gov study NCT02068066. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Simulation to Assess Cognitive Workload and Task Load IndeX (TLX) Performance
ClinicalTrials.gov study NCT03175484. IPD Sharing: NO. Countries: 1. Publications: 0.
Modeling Variation of the Objective Mental Workload for Tasks Requiring Different Cognitive Functions.
ClinicalTrials.gov study NCT05185102. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Identifying the effects of an upgraded ‘fever clinic’ on COVID-19 control and the workload of emergency department: a retrospective study in a tertiary hospital in China
Open the record for dataset details and reuse information.
Effect of Ondansetron on Patient Tolerance, Efficacy and Endoscopist Workload in Unsedated Endoscopy for Upper Gastrointestinal Bleeding
ClinicalTrials.gov study NCT07336680. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Influence of Acute Daily Workload Changes on Low-frequency Fatigue Morning Scores
ClinicalTrials.gov study NCT06704854. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
ICU Nurses' Perspectives on a Nursing Workload Dashboard
ClinicalTrials.gov study NCT07173218. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Study Evaluating Workload, Clinical and Therapeutic Management of Psoriatic Arthritis
ClinicalTrials.gov study NCT00580632. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Dataset + SPSS analysis_Impact of Biological Maturation on Match Workload in Portuguese Elite Male Academy Soccer Players
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Workload in non-emergency ambulance missions.
<p>We focus on research to analyze paramedics´ workload in the pre-hospital setting. We aimed at identifying factors to have an influence on the workload during non-emergency ambulance missions. Non-emergency missions represent a major part of the daily EMS business.</p> <p> We created an online-questionnaire to gather data on a single-mission basis. This is the underlying data set.</p>
Assessing workload in emergency medicine.
<p>In a nationwide cross-sectional study, German paramedics were asked to evaluate single missions for perceived workload by completing the NASA Task-Load-Index (TLX). A variety of candidate variables were documented and tested for influence on the TLX through multivariate regression analysis. This file contains the underlying data set as a result of the online questionnaire.</p>
Cross-cultural adaptation and validation of a surgical neonatal nursing workload tool to the Italian context: The Italian Win-nipeg Surgical Complex Assessment of Neonatal Nursing Needs Tool
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COSMOS: a dataset for Classification Of Stress and workload using multiMOdal wearable Sensors
<p>Prolonged stress and high mental workload can have deteriorating long-term effects developing several stress-related diseases. The existing stress detection techniques are often uni-modal and limited to controlled setups. One sensing modality could be unobtrusive but mostly results in unreliable sensor readings, especially in uncontrolled environments. Our study recorded multi-modal physiological signals from twenty-five participants in controlled and uncontrolled environments by performing given and self-chosen tasks of high and low mental demand. In this version, we processed and published a subset of the dataset from six participants while working on the rest. The subset of the data is used to check the feasibility of our study by engineering features from electroencephalography (EEG), photoplethysmography (PPG), electrodermal activity (EDA), and temperature sensor data. Machine learning methods were used for the binary classification of the tasks. Personalized models in the uncontrolled environment achieved a mean classification accuracy of up to 83% while using one of the four labels, unveiling some unintentional mislabeling by participants. In controlled environments, multi-modality improved the accuracy by at least 7%. Generalized machine learning models achieved close to chance-level performances. This work underlines the importance of multi-modal recordings and provides the research community with an experimental paradigm to take studies of mental workload and stress workload and stress out of controlled into uncontrolled environments<br> </p>
Anonymized Dataset for "How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects"
<p>Paper title: How Difficult Can It Be? Assessing Workload Components and Predictors in Introductory CS Projects</p> <p>This is a replication package using the anonymized dataset that we have collected including 161 entries of NASA-TLX surveys and the associated student source code metrics. Please cite the paper properly if you plan on using any parts of the dataset or the replication package.</p> <p> <br> <br> The following preprocessing steps proceed the work in this file: <br> 1- Collecting survey data and filtering incomplete entries, anonymizing data by replacing names with numbers. <br> 2- Calculating TLX and adding it as a feature to the data. <br> 3- Processing the code associated with each entry to calculate: loc, functions/methods, classes, style errors. <br> 4- Processing submission system logs to calculate number of commits/submissions. <br> <br> </p> <p><br> Dataset: anonymous-complete-preprocessed-TLX.csv <br> key: anonymous-dataset-key.txt</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.