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575 results for “Quality assessment”
OCTA image dataset with label annotation for quality assessment
<p>This dataset is publish by the research "<em>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</em>"</p> <p>Detail:</p> <p>OCTA image dataset with label annotation for quality assessment. sOCTA-3x3-10k: 10,480 3 × 3 mm<sup>2</sup> superficial vascular layer OCTA (sOCTA) images divided into three classes; sOCTA-6x6-14k: 14,042 6 × 6 mm<sup>2</sup> sOCTA images divided into three classes. </p> <p>GitHub: <a href="https://github.com/shanzha09/COIPS">https://github.com/shanzha09/COIPS</a></p> <p>These datasets are public available, if you use the dataset or our system in your research, please <strong>cite</strong> our paper: <em><code>A Deep Learning-based Quality Assessment and Segmentation System with a Large-scale Benchmark Dataset for Optical Coherence Tomographic Angiography Image</code></em>.</p> <p>arXiv:<a href="https://arxiv.org/abs/2107.10476v1">https://arxiv.org/abs/2107.10476v1</a></p>
Data and Code for "Value dissonance in research(er) assessment: Individual and institutional priorities in review, promotion and tenure criteria related to research quality, quantity, openness and responsibility"
<p>This snapshot contains code and data for the preprint "Value dissonance in research(er) assessment: Individual and institutional priorities in review, promotion and tenure criteria related to research quality, quantity, openness and responsibility".</p> <p>Instructions on re-using the data and running the code can be found in the README.md.</p> <p>Changes:</p> <ul> <li>Added survey instrument and informed consent.</li> </ul>
dataset relate to article "Quality of life assessment in adult spinal muscular atrophy patients treated with nusinersen"
<p>Excel file with raw data of the INQoL scale scores for each domain, for each patient, before and after nusinersen treatment</p>
Supporting data for the manuscript "Protein quality assessment with graph convolution guided by a loss function designed for high quality decoys"
<p>This dataset provides the predictions of the protein quality<br> assessment method Q_epsilon with respect to CASP13 and CASP14, as well<br> as a snapshot of the github repository providing the code for the<br> method.<br> The format of the file is as follows: The first column represents the<br> target and decoy names in the format <target name>_<decoy name>. The<br> second column is the true GDTTS, and the third column represents the<br> predicted GDTTS by Q_epsilon.</p>
Quality Attributes Assessment in Self-Adaptive Systems: An Empirical Evaluation
<p>Self-adaptive Systems (SAS) can monitor themselves and their context. They can detect changes and react to unexpected conditions with minimal human supervision during their execution. One of the challenges behind developing SAS is dealing with the decision-making process while analyzing the tradeoff points among the multiple quality attributes (QA). In Software Engineering, a widely accepted method of evaluating QA goals in software projects is the Architecture Tradeoff Analysis Method (ATAM). However, despite its importance and wide acceptance, there are few reports of empirical studies on analyzing QA tradeoffs in SAS. In this sense, the present investigation proposes an adapted version of ATAM called ATAM-4SAS to deal with the particularities of SAS. To achieve the research goal, we employed the UPPAAL SMC (statistical verification model) to analyze a set of QA. To evaluate the feasibility of the proposed method, we performed an empirical study on the execution of the ATAM-4SAS in a SAS developed according to the MAPE-K model. This model encompasses the Monitoring, Analysis, Planning, and Execution phases. Such steps share a knowledge base (K), which is fundamental in supporting decision-making. We complemented the empirical evaluation by conducting a focus group, which sought to assess the perceived ease of use and the perceived usefulness of the ATAM-4SAS to support the strategic choice of QA in a SAS. As a result, we observed that most participants agreed that ATAM-4SAS provides adequate support for the strategic choice of QA in SAS.</p>
Training Data for "Creating Quality FAIR assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS"
<p>Training Data for "Training Data for "Creating Quality FAIR assessment reports and draft of Data Papers from EML metadata with MetaShRIMPS""</p>
Towards an Assessment Rubric for EiPE Tasks in Secondary Education: Identifying Quality Indicators and Descriptors
<p>This study reports on reseach to investigating indicators and descriptors which characterize the quality of students’ code explanations to EiPE (Explain in Plain English) tasks in secondary education. </p> <p>First, a literature review was carried out to identify quality characteristics and descriptors that differentiate the quality of students’ responses in tertiary education. Then, the quality of upper-secondary students’ responses to a simple EiPE task was analyzed. The results of that analysis were used to refine our quality characteristics and descriptors, which were then translated into a prototypical rubric. In the final phase, the rubric was iteratively tested by two teachers and improved based on their feedback. The final rubric prototype can be used to provide feedback during formative assessment.</p> <p><br> This repository includes the EiPE comprehension task, the student responses, and the results from coding the responses:<br> - StudentResponses.pdf: task and anonymized solutions provided by students, translated to English<br> - Coding_data.xls: coding by two researchers until they came to an agreement (full set of 34 responses), and coding by Teacher1 on complete set, and coding by Teacher2 on the base-set (with duplicate responses omitted)</p>
Assessment of the quality of water for human consumption in the Laguna Verde area of Valparaiso in Central Chile (DATA)
<p>Data set paper Assessment of the quality of water for human consumption in the Laguna Verde area of Valparaiso in Central Chile .</p>
NwQM: A neural quality assessment framework for Wikipedia
<p>This contains the datasets we used for implementing "NwQM: A neural quality assessment framework for Wikipedia".</p> <p>"wikipages.csv" contains the text page content, talk page content, and the quality for each page.</p> <p>"sample_wiki_images.zip" contains the screenshots for a sample of pages.</p> <p>"finetuned_inceptionv3_model.h5" is the InceptionV3 model finetuned on Wikipedia.</p> <p>"finetuned_inceptionv3_embeddings.json" contains the finetuned InceptionV3 embeddings of each image generated from finetuned_inceptionv3_model.h5. </p>
Data Sets: An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia
<p>Data set associated with the manuscript published in GeoHealth titled An Assessment of Water Trusts: Drinking Water Quality and Provision in Six Low-income, Peri-urban Communities of Lusaka, Zambia. This includes bacterial, nitrate, specific conductance, and Water Trust survey data collected from Lusaka, Zambia in 2013, 2014, 2016, an 2019.</p>
Questionnaires and Raw Data for the Paper "Operationalised Product Quality Models and Assessment: The Quamoco Approach"
<p>This paper contains the quantitative data from several interviews along with a used questionnaire for empirically investigating the software quality models created in the project Quamoco.</p>
Linked Data Quality Assessment for Datasets on the LOD Cloud
<p><strong>For more up to date quality metadata, please visit https://w3id.org/lodquator</strong></p> <p>This dataset is a collection of TRiG files with quality metadata for different datasets on the LOD cloud. Each dataset was assessed for</p> <ol> <li>The length of URIs</li> <li>Usage of RDF primitives</li> <li>Re-use of existing terms</li> <li>Usage of undefined terms</li> <li>Usage of blank nodes</li> <li>Indication for different serialisation formats</li> <li>Usage of multiple languages</li> </ol> <p>This data dump is part of the empirical study conducted for the paper "Are LOD Cloud Datasets Well Represented? A Data Representation Quality Survey."</p> <p>For more information visit http://jerdeb.github.io/lodqa</p>
Assessing the Nature and Quality of Emergency Obstetric Care for Preventing Maternal and Perinatal Mortality in 8 Secondary and Tertiary Hospitals in Nigeria: Results of a Formative Research Study
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites. </p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from this formative audit phase of the project.</p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria.</p>
Assessing the Nature and Quality of Emergency Obstetric Care for Preventing Maternal and Perinatal Mortality in 8 Secondary and Tertiary Hospitals in Nigeria: Results of a Formative Research Study
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites.</p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from this formative audit phase of the project.</p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria</p>
Assessing the Impact of an Intervention to Improve the Quality of Emergency Obstetric Care on Maternal Health in Nigeria
<p>Nigeria suffers some of the highest rates of maternal and perinatal mortality in the world. Poor quality of obstetric care is a key factor, and although not quantified at a national level, local studies suggest that high rates of maternal and perinatal deaths are due to clinical management errors in hospitals. This project therefore explored the nature of existing practices and quality of clinical management of three leading causes of maternal and perinatal deaths (primary postpartum haemorrhage, eclampsia, and obstructed labour); implement an intervention package aimed at improving the quality of clinical management of these causes of deaths; and test the effectiveness of this package on quality of care indicators and maternal and perinatal outcomes. </p> <p> </p> <p>The study follows a quasi-experimental research design, using interrupted time series analysis for assessment over a three year period. Six public secondary care hospitals and two public tertiary care hospitals in both north and south of Nigeria were selected randomly. Formative research was conducted in all eight hospitals, and thereafter the intervention will be carried out in four hospitals, with the remaining four hospitals functioning as control sites. The package consists of training in use of evidence-based clinical protocols on postpartum haemorrhage (PPH), preeclampsia/eclampsia and obstructed labour, audit and feedback, reminders, commodity supply monitoring and replenishments and patients’ education. </p> <p> </p> <p>Clinical outcomes will be compared between intervention and control sites in a total of 2334 cases of PPH, preeclampsia/eclampsia and obstructed labour (based on an anticipated 50% reduction in case fatality rates, significance level of 0.05 and 80% power). This will consist of 1167 cases in the intervention sites and 1167 in the control sites. Maternal and perinatal mortality rates will serve as primary outcome measures. Secondary outcomes involve quality of care drawn from United Nations process indicators, skilled attendance index and data derived from the formative audit phase of the project.</p> <p> </p> <p>The results will enable the identification of a system-wide quality of care framework for improving the delivery of emergency obstetric care for the prevention of maternal and perinatal morbidity and mortality in Nigeria.</p>
Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressions
<p>This dataset provides extensive data from large-scale subjective experiments, encompassing MOS values, eye-tracking data, and raw subjective scores, collected from two laboratories Brno University of Technology and Czech Technical University in Prague (BUT and CTU). This new dataset serves as a comprehensive foundation for future research endeavors into novel objective quality metrics for omnidirectional IQA (OIQA).</p> <p> </p> <p><strong>▷ </strong> contact: xsimka01@vut.cz</p>
A Consumer Study on the Acceptance of Digitized Packaging for Food Quality Assessment
<p>Supplementary diagrams and pre-processed dataset to reproduce the findings of the publication "A Consumer Study on the Acceptance of Digitized Packaging for Food Quality Assessment" by Elia Henrichs, Julia Marie Senge, and Christian Krupitzer (University of Hohenheim, Department of Food Informatics and Computational Science Hub, Fruwirthstr. 21, D-70599 Stuttgart, Germany).</p>
Dataset_Scoping review_Changes in quality of cancer care assessed through performance indicators
<p>Data on which the conclusions of the study "<em>Changes in the quality of cancer care as assessed through performance indicators during the first wave of the COVID-19 pandemic in 2020: a Scoping Review</em>" rely, namely: articles included in the Scoping Review and performance indicators extracted and collated.</p>
Fig.1 in Associations Between Habitat Quality And Body Size In The Carpathian-Podolian Land Snail Vestia Turgida: Species Distribution Model Selection And Assessment Of Performance
Fig.1. Sampling sites for Vestia turgida in Ukraine (photo by O. Baidashnikov).
Assessing the Linguistic Quality of REST APIs for IoT Applications
<p>Detection of Linguistic Antipatterns in IoT APIs:</p> <p>The dataset contains the 19 APIs for IoT applications and a subset of their URIs and documentation.<br> The dataset also contains the detection results of nine Linguistic Antipatterns in 19 IoT APIs.</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.