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26 results for “validated exercise”
Datasets from BUBBLES validation exercises
<p>This dataset contains the telemetry data sent by the drones during the validation exercises and the response from the BUBBLES Separation Management Environment Platform. The data was gathered during test flights, in which 14 drones performed different representative operations, including agricultural tasks, surveillance, deliveries and lifeguard operations.</p> <p>For more information about the test flights, see D5.1 Validation plan and D5.4 Validation report from BUBBLES project.</p>
R scripts for the practical exercises with QGIS in the book "Land Use Cover Datasets and Validation Tools"
<p>This dataset includes a series of R scripts required to carry out some of the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access.</p> <p>The scripts have been designed within the context of the R Processing Provider, a plugin that integrates the R processing environment into QGIS. For all the information about how to use these scripts in QGIS, please refer to Chapter 1 of the book referred to above.</p> <p>The dataset includes 15 different scripts, which can implement the calculation of different metrics in QGIS:</p> <ul> <li>Change statistics such as absolute change, relative change and annual rate of change (Change_Statistics.rsx)</li> <li>Areal and spatial agreement metrics, either overall (Overall Areal Inconsistency.rsx, Overall Spatial Agreement.rsx, Overall Spatial Inconsistency.rsx) or per category (Individual Areal Inconsistency.rsx, Individual Spatial Agreement.rsx)</li> <li>The four components of change (gross gains, gross losses, net change and swap) proposed by Pontius Jr. (2004) (LUCCBudget.rsx)</li> <li>The intensity analysis proposed by Aldwaik and Pontius (2012) (Intensity_analysis.rsx)</li> <li>The Flow matrix proposed by Runfola and Pontius (2013) (Stable_change_flow_matrix.rsx, Flow_matrix_graf.rsx)</li> <li>Pearson and Spearman correlations (Correlation.rsx)</li> <li>The Receiver Operating Characteristic (ROC) (ROCAnalysis.rsx)</li> <li>The Goodness of Fit (GOF) calculated using the MapCurves method proposed by Hargrove et al. (2006) (MapCurves_raster.rsx, MapCurves_vector.rsx)</li> <li>The spatial distribution of overall, user and producer’s accuracies, obtained through Geographical Weighted Regression methods (Local accuracy assessment statistics.rsx).</li> </ul> <p>Descriptions of all these methods can be found in different chapters of the aforementioned book.</p> <p>The dataset also includes a readme file listing all the scripts provided, detailing their authors and the references on which their methods are based.</p>
Data for the practical exercises in the book "Land Use Cover Datasets and Validation Tools"
<p>This dataset contains all the data that is required to carry out the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access.</p> <p>The dataset includes data for three different case studies: The Asturias Central Area (Spain), the Ariège Valley (France) and Marqués de Comillas (Mexico). For the Asturias Central Area and the Ariège Valley, the dataset includes Land Use Cover (LUC) maps for several years of reference as well as data (simulation outputs, model drivers) for different modelling exercises. For Marqués de Comillas, the dataset includes a LUC map and a set of reference points used to validate it.</p> <p>The dataset includes a readme file listing all the files it contains and auxiliary files describing the data. For further information on the study area and the files used in the practical exercises, users are referred to Chapter 1 of the book.</p>
Pedology and plant provenance can improve predictions of species distributions of the Australian native flora: a calibrated and validated modelling exercise on 5,033 species
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Validation, Reliability and Pilot Test of the Personalized Exercise Questionnaire (PEQ)
ClinicalTrials.gov study NCT03125590. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Validating a Clinical Prediction Rule to Guide Manual Therapy and Exercise for Neck Pain Relief in 140 Participants With Neck Pain
ClinicalTrials.gov study NCT06906107. IPD Sharing: NO. Countries: 1. Publications: 34.
To Develop and Validate a Structured Exercise Protocol and Its Efficacy in Sub Acromial Impingement Patients
ClinicalTrials.gov study NCT06107985. IPD Sharing: NO. Countries: 0. Publications: 5.
Which Exercise for Low Back Pain: A Validation Study
ClinicalTrials.gov study NCT03327753. IPD Sharing: NO. Countries: 1. Publications: 0.
Observational, Non-Interventional Study Supporting Validation of VO2Max Estimation Methods Using Results in Patients Receiving Standard of Care Cardiopulmonary Exercise Tests (CPET)
ClinicalTrials.gov study NCT05678530. IPD Sharing: NO. Countries: 2. Publications: 0.
Exercise in Mental Illness Questionnaire: French Validation
ClinicalTrials.gov study NCT06329180. IPD Sharing: NO. Countries: 1. Publications: 0.
Adaptation and Validation of the Exercise Adherence Rating Scale of Knee Osteoarthritis Patients (GONEARS)
ClinicalTrials.gov study NCT04465331. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Measuring Outcomes With Validated Exercise
ClinicalTrials.gov study NCT07270185. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of the Validity and Reliability of the '6 Minute Pegboard and Ring Test' Unsupported Arm Function Exercise Test in Patients Using Pacemakers
ClinicalTrials.gov study NCT06783023. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Validity and Reliability of the Behavioral Regulation in Exercise Questionnaire-2 (BREQ-2) in Adolescents With Idiopathic Scoliosis
ClinicalTrials.gov study NCT07359781. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Design and Validation of FEXO: A Playful Exercise Program for Institutionalized Frail Older Adults
ClinicalTrials.gov study NCT07133581. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Turkish Adaptation, Validity and Reliability of Exercise Sensitivity Questionnaire
ClinicalTrials.gov study NCT05429307. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Validation the Effectiveness of Graded Training in the MultiComponent Physical Exercise Program (Vivifrail) Among Senile Care Center Residents: A Randomized Controlled Study
ClinicalTrials.gov study NCT06975449. IPD Sharing: NO. Countries: 1. Publications: 0.
Validation of an Exercise DVD for Maintenance After Pulmonary Rehabilitation.
ClinicalTrials.gov study NCT01235481. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Utility and Validity of a High-intensity, Intermittent Exercise Protocol
ClinicalTrials.gov study NCT04531891. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Exercise Stress MRI to Evaluate Aortic Function (Compliance, Distensibility, Pulse Wave Velocity) and Left Ventricular Function : Validation in Healthy Volunteers and in Selected Patients. A Pilot Stu
ClinicalTrials.gov study NCT02018835. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.