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Dataset results
36 results for “GCC”
An Integrated Usability Framework for Evaluating Open Government Data Portals and Analysis of EU and GCC OGD Portals
<p><span>This dataset contains data collected during a study (<em><strong>"<a href="https://arxiv.org/ftp/arxiv/papers/2403/2403.08451.pdf">An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries</a>"</strong></em>) conducted by Fillip Molodtsov and Anastasija Nikiforova (University of Tartu).</span></p> <p><span> </span><span>It being made public both to act as supplementary data for the paper and in order for other researchers to use these data in their own work potentially contributing to the improvement of current data ecosystems and develop user-friendly, collaborative, robust, and sustainable open data portals.</span></p> <p><span>***Purpose of the study***</span></p> <p><span>This paper develops an integrated framework for evaluating OGD portal effectiveness that accommodates user diversity (regardless of their data literacy and language), evaluates collaboration and participation, and the ability of users to explore and understand the data provided through them. </span></p> <p><span>The framework is validated by applying it to 33 national portals across European Union (EU) and Gulf Cooperation Council (GCC) countries, as a result of which we rank OGD portals, identify some good practices that lower-performing portals can learn from, and common shortcomings.</span></p> <p><span>***Methodology***</span></p> <p><span>(1) systematic literature review to establish a knowledge base and identify frameworks have been used to evaluate OGD portals, we conducted a systematic literature review - Dataset_ Usability_Framework_SLR;</span></p> <p><span>(2) development of the Integrated Usability Framework for Evaluating Open Government Data Portals, which content is based on the outputs of the first step, along with selected articles of experts in portal design, and an exploratory assessment of the French, Irish, Estonian and Spanish portals - Dataset_Integrated_Usability_Framework;</span></p> <p><span>(3) data collection, that is a completion of the protocol developed in the previous step by analysing 34 national OGD portals of the EU and GCC countries. When all individual protocols were collected, the total score are calculated using the weighting system. The average scores are calculated for the EU and GCC. The portals are ranked. The top portals (best performers) are determined for each dimension - Dataset_EU_GCC_OGDportal_Usability_results_clustering.</span></p> <p><span>(4) identification of relationships and patterns among different portals based on their performance metrics as a result of the cluster analysis. By calculating the average dimensional scores of portals from both types of clusters, their performance across multiple dimensions is evaluated - Dataset_EU_GCC_OGDportal_Usability_results_clustering.</span></p> <p> </p> <p><strong><em><span>For more details see Molodtsov, F., Nikiforova, A. (2024). “An Integrated Usability Framework for Evaluating Open Government Data Portals: Comparative Analysis of EU and GCC Countries”. In Proceedings of the 25th Annual International Conference on Digital Government Research (DGO 2024), June 11--14, 2024, Taipei, Taiwan, 10.1145/3657054.3657159</span></em></strong></p> <p><span>***Format of the file***</span></p> <p><span>.xls, .csv</span></p> <p><span>***Licenses or restrictions***</span></p> <p><span>CC-BY</span></p>
Global database of Coastal Characteristics (GCC)
<p>This dataset present a Global database of Coastal Characteristics (GCC) with 80 indicators spanning the</p> <ul> <li>geophysical,</li> <li>hydrometeorological and</li> <li>socioeconomic</li> </ul> <p>environment, at a high alongshore resolution of 1 km and provided at ~730,000 points along the global ice-free coastline. The latest freely available global datasets and a global high-resolution transect system are used to derive these indicators.</p> <p>The geophysical indicators include coastal slopes and elevation maxima, land-use, presence of vegetation or sandy beaches.The hydro-meteorological indicators involve water level, wave conditions and meteorological conditions (rain and temperature). Additionally, the socioeconomic indices are related to population, GDP and presence of critical infrastructure (roads, railways, ports and airports).</p> <p>The indicators are provided in three comma-separated values (CSV) files, one for each group:</p> <ul> <li>GCC_geophysical.csv</li> <li>GCC_hydrometeorological.csv</li> <li>GCC_socioeconomic.csv</li> </ul> <p>Information for each individual indicator, including its name, long name (description), units and type, are provided in the meta_data.yml file.</p>
Dataset of execution times of programs compiled under different GCC optimizaion levels (-O0, -O1, -O2, -O3) on the Xilinx Zynq UltraScale+ MPSoC ZCU104 (Cortex A53)
<p>This dataset contains execution time measurements for a set of programs from the TACLe benchmark suite, including <em>lift</em>, <em>powerwindow</em>, <em>bsort</em>, <em>matrix1</em>, <em>epic</em>, <em>dijkstra</em>, mpeg2 and <em>quicksort</em>.</p> <p>The data was collected using RT-Bench, an open-source framework designed to execute these benchmarks periodically in a real-time context.</p> <p>Each program was compiled using five different GCC optimization levels (-O0, -O1, -O2, -O3, and -Ofast) and executed periodically 1000 times.</p> <p>The experiments were conducted on the Zynq ZCU104 platform, which features a quad-core Arm Cortex A53 processor, running the Ubuntu 22.04 LTS arm64 OS with the 5.15.0-1015-xilinx-zynqmp kernel.</p> <p>This dataset is published at <a href="https://2024.ieee-etfa.org/" target="_blank" rel="noopener">ETFA</a> 2024 as part of a work-in-progress paper called "<a href="https://hal.science/hal-04667091/" target="_blank" rel="noopener">Impact of compilation optimization levels on execution time variability</a>"</p>
Sentinel-2 derived Sphagnum and herbaceous CI, GCC, NDVI, MSI, SL2P10 LAI, and hourly temperature, water table depth, PAR on the Bernadouze peatland from 2017 to 2021 and 2D scans LAI over 2021.
<p>This release contains data from field campaign over the Bernadouze Peatland and satellite sentinel-2 derived vegetation indices from 2017-01-01 to 2021-12-31.</p> <p>Sentinel-2 derived Sphagnum and herbaceous chlorophyll index, green chromatic coordinate, normalised difference index, moisture soil index retrived on google earth engine from 2017-01-01 to 2021-12-31 on the Bernadouze peatland.</p> <p>Sentinel-2 sphagnum and herbaceous leaf area index (m².m-²) computed with the SL2P10 algorithm from 2017-01-01 to 2021-12-31 thanks to google earth engine.</p> <p>Sphagnum leaf area index (m².m-²), measured with a 2D-scan (LI3100 Area Meter) over the 2021 season on the Bernadouze peatland.</p> <p>Reflectance over the 12 bands of Sentinel-2 on two areas of the Bernadouze peatland : one dominated by Sphagnum mosses and the other by herbaceous vegetation. Data related to an image acquired the 2021-07-21.</p> <p>Hourly air temperature (°C) and photosynthetically active radiations (umol.m-².s-1) derived from the S2M (SAFRAN–SURFEX, ISBA–Crocus–MEPRA) reanalysis chain on the Bernadouze peatland. Vertical resolution of 300m on the 'Couseran' massif.</p> <p>Hourly water table depth (m) from 10 piezometers (PZ1, ..., PZ10) over the Bernadouze peatland. Measured with 10 Orpheus Mini Water Level Logger, OTT HydroMet, Germany.</p> <p>Growth primary productivity of dominant peatland vegetation (umol.m-².s-1) calculated by the difference of measured net primary productivity and of measured ecosystem respiration flux under dark conditions. Measurements of GPP and ER are made with a soil chamber connected to a LI-COR LI-7810 analyser from 2017-01-01 to 2021-12-31 on the Bernadouze peatland.</p>
A Study of TAK-164 in Participants With Advanced Gastrointestinal (GI) Cancer Expressing Guanylyl Cyclase C (GCC)
ClinicalTrials.gov study NCT03449030. IPD Sharing: YES. Countries: 1. Publications: 2.
The Gamma Pod: A Clinical Feasibility Study Device GCC 1202: The Gamma Pod: A Clinical Feasibility Study
ClinicalTrials.gov study NCT02507960. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Breast Cup Immobilization Device II (GCC 1047)
ClinicalTrials.gov study NCT01704547. IPD Sharing: Not stated. Countries: 1. Publications: 0.
GCC 1366: Anti-Proliferative Response to NeoAdjuvant AIs in Overweight and Obese Patients
ClinicalTrials.gov study NCT02095184. IPD Sharing: NO. Countries: 1. Publications: 0.
GCC 0845:Vorinostat and Lapatinib in Advanced Solid Tumors and Advanced Breast Cancer to Evaluate Response and Biomarkers
ClinicalTrials.gov study NCT01118975. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Cetuximab (ERBITUX) and Concurrent Carboplatin, Paclitaxel & Radiotherapy in the Management of Patients With Advanced Locoregional Squamous Cell Carcinomas of the Head and Neck (GCC 0442
ClinicalTrials.gov study NCT00343083. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Dynamic Magnetic Resonance Imaging (MRI) for Lung Tumor Motion and Lung Function (GCC 0943)
ClinicalTrials.gov study NCT01016938. IPD Sharing: Not stated. Countries: 1. Publications: 0.
EVALUATION OF AMIFOSTINE FOR MUCOSAL AND HEMOPOETIC PROTECTION AND CARBOPLATIN, TAXOL, RADIOTHERAPY IN THE MANAGEMENT OF PATIENTS WITH HEAD AND NECK CANCER.(GCC 0202)
ClinicalTrials.gov study NCT00270790. IPD Sharing: NO. Countries: 1. Publications: 0.
Optune(NOVOTTF-100A)+ Bevacizumab+ Hypofractionated Stereotactic Irradiation Bevacizumab-Naive Recurrent Glioblastoma (GCC 1344)
ClinicalTrials.gov study NCT01925573. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Genome-wide DNA methylation analysis of Romidpesin treated GCC cell lines
GEO Series GSE76709. Homo sapiens. 8 samples. Type: Methylation profiling by array.
Global analyses of cell cycle dependent changes in fission yeast genome organization reveal correlations with alterations in transcript levels [GCC]
GEO Series GSE52283. Schizosaccharomyces pombe. 6 samples. Type: Other.
Genome-wide expression microarray analysis of romidpesin treated GCC cell lines, fibroblasts and Sertoli cells.
GEO Series GSE71239. Homo sapiens. 28 samples. Type: Expression profiling by array.
Paternal high-fat diet altered sperm 5'tsRNA-Gly-GCC is associated with enhanced gluconeogenesis in the offspring
GEO Series GSE196881. Mus musculus. 10 samples. Type: Non-coding RNA profiling by high throughput sequencing.
LITT Followed by Hypofractionated RT for Newly Diagnosed Gliomas (GCC 20138)
ClinicalTrials.gov study NCT04699773. IPD Sharing: NO. Countries: 1. Publications: 0.
Selective Avoidance of Nodal VolumEs at Minimal Risk (GCC 20110)
ClinicalTrials.gov study NCT04609280. IPD Sharing: NO. Countries: 1. Publications: 0.
Hypofractionated Accelerated Pelvic Nodal Radiotherapy (GCC 2048)
ClinicalTrials.gov study NCT04486755. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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