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47,155 results for “evaluations”
The effects of e-government evaluation, trust and the digital divide in the levels of e-government use in European countries
<p>Despite the significant amounts of public investment devoted to enhancing e-government over the last ten years, citizens’ use of this service is still limited, posing a challenge to national governments. Using a regression analysis applied to panel data derived from 27 European countries for the period from 2010 to 2018, our work confirms that supply-side e-government performance evaluations, the level of citizen trust in the government, income per capita and education are determinants of the level of citizens’ use of e-government. Furthermore, the results of the cluster analysis suggest that, over the study period, in the group of countries with highest e-government use rates, the variables under study exhibit more favourable relative values.</p>
Code + simulated + publically accessable data for "Evaluating health facility access using Bayesian spatial models and location analysis methods"
<p># README</p> <p>These files contain r data objects and R files that represent the key details of the paper, "Evaluating health facility access using Bayesian spatial models and location analysis methods".</p> <p>The following datasources are available for simulation of some of the ideas in the paper.</p> <p>- dat_grid_sim: simulated data of the grid and grid cells<br> - dat_ohca_cv_sim: simulated data containing the cross validated test/training sets of OHCA data<br> - dat_ohca_sim: simulated OHCA event data<br> - dat_aed_sim: simulated AED location data<br> - dat_bldg_sim: simulated building location data<br> - dat_municipality_sim: simulated municipality information<br> - table_1: Table 1 information containing key demographic data</p> <p>These data were produced using the code in 01-create-sim-data.R, and one of the statistical models is demonstrated in 02-demo-inla-model.R</p> <p>In terms of the paper itself, the functions and code used in the manuscript are located in:</p> <p>* 01_tidy.Rmd - analysis code used to tidy up the data</p> <p>* 02_fit_fixed_all_cv.Rmd - analysis code used to place AEDs</p> <p>* 02_model.Rmd - analysis code used to fit the model in INLA</p> <p>* 03_manuscript.Rmd - Full code and text used to create the paper</p> <p>* 04_supp_materials.Rmd - full code and text used to create the supplementary materials</p> <p>The following files are a part of an R package "swatial" that was developed along with the paper. These files are:</p> <p>* DESCRIPTION</p> <p>* NAMESPACE</p> <p>* LICENSE</p> <p>* LICENSE.md</p> <p>* decay.R</p> <p>* spherical-distance.R</p> <p>* test-figure-data-matches.R</p> <p>* test-table-data-matches.R</p> <p>* testthat.R</p> <p>* tidy-inla.R</p> <p>* tidy-posterior-coefs.R</p> <p>* tidy-predictions.R</p> <p>* utils-pipe.R</p> <p>* All files that end in .Rd are documentation files for the functions.</p> <p>## Regarding data sources</p> <p>Census information for Ticino was transcribed from the Annual Statistical Report of Canton Ticino from years 2010 to 2015. This data was taken from their publicly accessible annual reports - for example: (https://www3.ti.ch/DFE/DR/USTAT/allegati/volume/ast_2015.pdf). The raw data was extracted from these annual reports, and placed into the file: "swiss_census_popn_2010_2015.xlsx". These data are put into analysis ready format in the file “01_tidy.Rmd”</p> <p>Housing and other relevant geospatial data can be accessed via http://map.housing-stat.ch/ and https://data.geo.admin.ch/. The maps of buildings from the REA (Register of Buildings and Dwellings) can be found here: https://map.geo.admin.ch/?zoom=11&bgLayer=ch.swisstopo.pixelkarte-grau&lang=en&topic=ech&layers=ch.bfs.gebaeude_wohnungs_register,ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill,ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude,ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen,ch.swisstopo.swissbuildings3d_1.metadata,ch.swisstopo.swissbuildings3d_2.metadata&E=2717616.28&N=1096597.25&catalogNodes=687,696&layers_timestamp=,,2016,2016,,&layers_visibility=true,false,false,false,false,false&layers_opacity=1,1,1,1,1,0.75</p> <p>For further enquiries on this data, contact the Swiss federal Office of Statistics at the details listed here: https://www.bfs.admin.ch/bfs/en/home/services/contact.html</p> <p>The shapefiles of the Comuni can be accessed here: https://www4.ti.ch/dfe/de/ucr/documentazione/download-file/?noMobile=1</p> <p>Data from the people living in the Municipalities in Ticino can be downloaded here: https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=dati.home&tema=33&id2=61&id3=65&c1=01&c2=02&c3=02</p> <p>## Future work</p> <p>In the future, these functions from the paper may be generalised and put into their own package. If that happens, this repository will be updated with a link to updated functions.</p>
Different methods to evaluate the effects of M4K compounds on DIPG patient-derived cell lines
<p>Aside from determining the optimal numbers of DIPG cells to be seeded for viability assay, it is also important to validate that measurements using CellTiter Glo are in agreement with other methods of determining cell viability.</p> <p>For my blog post about this experiment, please visit my opennotebook page.</p> <p>https://openlabnotebooks.org/different-methods-to-evaluate-the-effects-of-m4k-compounds-on-dipg-patient-derived-cell-lines/</p>
Evaluation Data of SemSlice
<p>This data set contains the programs on which SemSlice was evaluated. </p> <p>SemSlice is a tool for automatic and precise porgram slicing and was presented in:</p> <p>http://dx.doi.org/10.1007/978-3-319-66845-1_20 </p> <p> </p> <p>Data<br> -----</p> <p>The folder "benchmarks" contains the programs which were used to evaluate SemSlice.</p> <p>The file "results.log" contains the evaluation results of running SemSlice on the benchmark programs.<br> The evaluation was done on a virtual machine that had two Intel Core I7-4600MQ cores and 2GB RAM.</p>
PERCEIVE: WP2: Evaluation of EU citizens' perception of the EU project: Task2.1: Data relative to regional performance of the Cohesion Policy and institutional quality
<p>1. PERCEIVE regional panel datasets - secondary data collected from Eurostat, EU Commission on Strutural Fund Expenditures and quality of government for NUTS 1, 2 and 3 regions from 1990-2015, (STATA files). See codebook for more detail about variables</p> <p>2. Flash Eurobarometer survey data on "Awarness of EU Regional Policy" and questionaires (STATA files)</p> <p>3. Standard Eurobaromter survey data, annual, from 2000-2016 and questionaires (STATA files)</p> <p>4. Expenditure data on EU Structural Funds, latest three budget periods (2000-2020) (Excel file)</p> <p>5. codebook for all regional data</p>
Supplementary File S2 for the publication 'Predicting Bacterial Virulence Factors - Evaluation of Machine Learning and Negative Data Strategies' by Rentzsch, R et al.
<p>Supplementary File S2 for the publication 'Predicting Bacterial Virulence Factors - Evaluation of Machine Learning and Negative Data Strategies' by Robert Rentzsch, Carlus Deneke, Andreas Nitsche, and Bernhard Y. Renard</p>
Downscaled 11 km CESM2 data used in CESM2 Greenland SMB evaluation paper (HIST-EC)
<p>Monthly output from CESM2 simulation HIST-EC over the period 1960-1999, downscaled to the 11 km RACMO grid using elevation class output.</p> <p>Variables: EFLX_LH_TOT, FGR, FIRA, FIRE, FLDS, FSA, FSDS, FSH, FSM, FSR, QICE, QICE_MELT, QRUNOFF, QSNOFRZ, QSNOMELT, QSOIL, RAIN, RAIN_FROM_ATM, RH2M, SNOW, SNOW_FROM_ATM, TG, TSA, TSKIN, U10</p>
Native CESM2 data used in CESM2 Greenland SMB evaluation paper (HIST-EC)
<p>Monthly output from CESM2 simulation HIST-EC over the period 1960-1999, from both CAM and CLM model components.</p> <p>CAM variables: FLDS, FLNS, FSDS, FSNS, LHFLX, PRECSC, PRECSL, PRECT, QFLX, SHFLX, TREFHT, TS, U10</p> <p>CLM variables: EFLX_LH_TOT, FGR, FIRA, FIRE, FLDS, FSA, FSDS, FSH, FSM, FSR, QICE, QICE_MELT, QRUNOFF, QSNOFRZ, QSNOMELT, QSOIL, RAIN, RAIN_FROM_ATM, SNOW, SNOW_FROM_CAM, TG, TSA, TSKIN, U10</p>
TAU Spatial Sound Events 2019 - Ambisonic and Microphone Array, Evaluation Datasets
<p>This package consists of two evaluation datasets, <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> and <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong>. These datasets contain recordings from an identical scene, with <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> providing four-channel First-Order Ambisonic (FOA) recordings while <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> provides four-channel directional microphone recordings from a tetrahedral array configuration. Both formats are extracted from the same microphone array. The recordings in the two datasets consist of stationary point sources from multiple sound classes each associated with a temporal onset and offset time, and DOA coordinate represented using azimuth and elevation angle. These evaluation datasets are part of the <a href="https://github.com/sharathadavanne/seld-dcase2019">DCASE 2019 Sound Event Localization and Detection Task</a>. The corresponding development datasets can be downloaded <a href="https://doi.org/10.5281/zenodo.2599196">here</a>.</p> <p>The IRs were collected in Finland by Tampere University between 12/2017 - 06/2018. The data collection received funding from the European Research Council, grant agreement 637422 EVERYSOUND.</p> <ul> <li>The <strong>foa_eval.zip</strong>, correspond to audio data of <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> evaluation dataset.</li> <li>The <strong>mic_eval.zip</strong>, correspond to audio data of <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> evaluation dataset.</li> </ul> <p>-- Version 2 updates --</p> <p>The<a href="http://dcase.community/challenge2019/task-sound-event-localization-and-detection-results"> DCASE 2019 sound event localization and detection task has now ended</a>. Hence we are releasing the reference labels for the evaluation dataset in this version.</p> <ul> <li>The <strong><em>metadata_eval.zip</em></strong> is the common metadata for both <strong>TAU Spatial Sound Events 2019 - Ambisonic</strong> and <strong>TAU Spatial Sound Events 2019 - Microphone Array</strong> evaluation datasets. </li> <li>The <strong>short2longnames.txt</strong> file consists of the corresponding names for each recording in the dataset in the <a href="http://dcase.community/challenge2019/task-sound-event-localization-and-detection#development-dataset">development-set format</a>, i.e., including the information of the impulse response location and the maximum number of overlapping sound events in the recording.</li> </ul> <p>Download the zip files corresponding to the dataset of interest and use your favorite compression tool to unzip these split zip files.<br> </p> <p> </p> <p> </p>
Evaluation of Comparative Damaging Effects of Multiple Truck Axles for Flexible Pavements
<p>Corresponding data set for Tran-SET Project No. 17PUTA01. Abstract of the final report is stated below for reference:</p> <p>"This study aims at evaluating the effect of overlapping flexible pavement strain responses from truck axles that are not part of multiple axle configurations (i.e., tandem, triple and quad). For this purpose, a newly constructed pavement was instrumented with strain gauges installed at the bottom of the asphalt concrete base layer on US-287 south of Mansfield, TX. This pavement structure is typically used for medium- to high-volume roads in the South-Central region of the United States. The strain gauges were used to measure longitudinal and transverse strains under several passes of a test vehicle. This was a class 6 truck with a steering axle load of 56.9 kN (12.8 kips) and a tandem drive axle load of 161.9 kN (36.4 kips). The speed and the lateral position of the vehicle were recorded for each test vehicle pass. Sufficient quantities of the top two layers of asphalt concrete were obtained during construction to allow dynamic modulus testing in the laboratory. The general-purpose finite element program Abaqus was used to model the instrumented pavement section and compute the longitudinal and transverse strains at the location of the strain gauges. In the analysis, the asphalt concrete layers were modeled as visco-elastic materials. The Abaqus estimated strains were found in good agreement with the measured strains. Both the field measurements and the finite element analysis showed that the strains under the passing of the steering axle were of similar magnitude as the strains under the passing of the rear tandem axle. The measured transverse strains were in general slightly larger than the corresponding longitudinal strains. This can be attributed to the accumulation of strain from the front axle and the rear axle that takes place only in the transverse direction. However, the finite element model computed higher strains in the longitudinal direction than in the transverse direction. These findings suggest the need to account for the overlap in strain responses from the steering and the following axles of trucks. Furthermore, findings suggest that both the longitudinal and the transverse strain responses need to be considered in evaluating the fatigue damage impacted from trucks."</p>
Simplified Approach for Structural Evaluation of Flexible Pavements at the Network Level
<p>Corresponding data set for Tran-SET Project No. 17PUTA02. Abstract of the final report is stated below for reference:</p> <p>"Currently, there are few available simple procedures to identify structurally weak pavement sections utilizing Falling Weight Deflectometer (FWD) data at the network level (e.g., city, state or province). A simple method is required to determine the structural condition of pavement sections that can be directly implemented and automated in current pavement databases. The objective of this research study is to develop a simple analysis method to determine the structural condition of pavement sections utilizing the currently available non-destructive testing (NDT) deflection measurement devices at the network level that can be directly implemented and automated in the database of a typical transportation agency. In addition, the study had conducted an advanced mechanistic analysis to mimic the FWD deflection bowl obtained from the field. The developed structural condition parameters can be easily implemented in pavement management systems (PMS). This will aid Departments of Transportation (DOTs) and local highway agencies to make more informed decisions about the most suitable maintenance and rehabilitation strategies. Those parameters were also utilized to predict the remaining fatigue lives of the studied pavement sections."</p>
Evaluation of the Performance and Cost-Effectiveness of Engineered Cementitious Composites (ECC) Produced from Region 6 Local Materials
<p>Corresponding data set for Tran-SET Project No. 17CLSU05. Abstract of the final report is stated below for reference:</p> <p>"The project objective is to develop cost-effective Engineered Cementitious Composites (ECC) with locally available ingredients in Region 6 to address the deficiencies observed in ordinary concrete materials. The study explored the utilization of two types of river sands (coarse and fine), two types of PVA fibers (long and short), four levels of cement replacement with Class F fly ash, and the implementation of recycled crumb rubber in the performance of ECC materials. A total of 24 mix designs were prepared and evaluated in compression, tension, and bending to assess its mechanical properties. Furthermore, the cracking characteristics of the materials produced were evaluated to assess the durability potential of these composites. Lastly, the cost of each mix design and the feasibility of ECC implementation in transportation infrastructure were assessed. The experimental results showed that implementing crumb rubber and/or increasing contents of fly ash in the mixtures produced a positive impact in the ductility of the materials. However, a tradeoff between ductility and strength was observed. Furthermore, the utilization of the different types of sand evaluated in this study produced minor effects in the mechanical properties of ECCs evaluated. The properties of the materials developed in this study were exceedingly superior than that of regular concrete. It was concluded that ECC materials are promising for the future of transportation infrastructure."</p>
Evaluating the effect of 8 M4K compounds on the viability of DIPG patient-derived cells (SU-DIPG-VI, HSJD-DIPG-007 and SU-DIPG-IV)
<p>Viability assay using Celltiter Glo kit has been chosen as the main method for evaluating the efficacy of ALK2 inhibitors on DIPG patient-derived cells due to its robustness. As a pilot experiment, 8 ALK2 inhibitors with differing potencies were chosen and evaluated in 3 DIPG patient-derived cell lines (one with wild-type ALK2 and two with mutant ALK2).</p>
TD L2 Perfectionnement Evaluation de l'information sur Internet
<p>Scénario pédagogique et contenus destinés aux formateurs, pour assurer des séances de formations de 2h pour des étudiants de L2 des UFR Lettres Langues, et Arts et Sciences Humaines.</p> <p>Nous recevons les étudiants en demi-groupes de TD, soit une vingtaine d'étudiants maximum par séance.</p> <p>Nous introduisons la séance par un Kahoot qui permet de voir où en sont les étudiants concernant les grandes notions liées à la recherche et à l'évaluation sur Internet. Le Kahoot est très apprécié par les formateurs et par les étudiants car il permet, sur un mode ludique, d'instaurer une interaction, un dialogue, entre les deux parties dès le début de la séance.</p>
Evaluation data for the Intervention Model for Air Pollution (InMAP) version 1.6.1
<p>This directory contains data for performing InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>- annual_all_2005.csv: U.S. EPA annual average measured air pollution data for year 2005, downloaded from EPA AirData at http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/download_files.html. </p> <p>- census2013blckgrp.shp and associated files: US Census Bureau estimates of average population counts for several demographic groups for years 2011-2015. Descriptive and license information regarding these files can be found in census2013blckgrp_README.txt</p> <p>- InMAPData_v1.6.1.gob: InMAP variable grid resolution input data for the continental U.S. year 2005 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command.</p> <p>- InMAPData_v1.2.0.ncf: Regular-grid InMAP input data for the continental U.S. year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command. This file has not changed since version 1.2. Information regarding the WRF-Chem simulations is available in: Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- mortalityRates2013.shp and associated files: Year 2013 all-population, all-cause mortality rate data from the CDC WONDER database (http://wonder.cdc.gov). Descriptive information regarding these files can be found in mortalityRates2013_README.txt</p> <p>- states.shp and related files: U.S. state boundaries for making evaluation maps.</p> <p>- la_test directory: Files with the area surrounding the city of Los Angeles extracted for faster-running tests.</p> <p>- 2005_emissions directory: Anthropogenic emissions from the 2005 U.S. EPA National Emissions Inventory (NEI), processed using the AEP model (https://github.com/ctessum/aep) (files Elevated.shp and GroundLevel.shp), and biogenic and wilfire emissions (file bioFireEmis.shp) calculated following the methods in Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- singleSource directory: Regular-grid InMAP input data for los Angeles for year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command, based on a 9 - 3 - 1 km nested WRF-Chem simulation which only included emissions from a single source in downtown Los Angeles. The directory includes four different InMAPData_*.ncf files, three corresponding to the three WRF-Chem domains and one for a nested InMAP simulation. The directory also contains an inmapEmis.shp shapefile and supporting files that contain emissions matching the emissions used in the WRF-Chem simulation. More information about this simulation can be found in the InMAP model description article.</p> <p>- FuelScenarios directory: This directory contains two subdirectories. "Emissions" contains spatial emissions information corresponding to the emissions scenarios described at doi: 10.1073/pnas.1406853111. "Concentrations" contains changes in pollutant concentrations resulting from WRF-Chem simulations of the emissions scenarios, also described and discussed at doi: 10.1073/pnas.1406853111.</p>
A Preliminary Evaluation of the Shame Resilience Theory
<p>Raw data set from study as well as scored data for each measure and scored data for ICIAI sub-scales. </p>
Supplementary of Bayesian Evaluation of Incomplete Fission Yields
<p>This part employ a code to read parameters of the trained Bayesian neural network which are stored in the log file, and output the averaged function values and Confidence Interval (CI) of fission yields. The instructions are given in the attached BNN-fission.PDF file. </p> <p> </p>
Automated Usability Evaluation of Augmented Reality Applications
<p>Research data for my master thesis on the topic: "Automated Usability Evaluation of Augmented<br> Reality Applications"</p>
Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions Evaluation Data
<p>Evaluation Data accompanying the paper titled:</p> <p>Path-Sensitive Atomic Commit: Local Coordination Avoidance for Distributed Transactions</p>
Mono-to-Stereo Conversion Evaluation Dataset
<p>MONO-TO-STEREO CONVERSION EVALUATION DATASET.</p> <p>This dataset has been constructed from audio excerpts taken from the Bach10 dataset by Duan et al. [1]. This database has been used to evaluate the effectiveness of a mono-to-stereo converter by means of a listening test. Results were presented in my PhD thesis [2], in Chapter 6, on pages 167-176.</p> <p>[1] Z. Duan, B. Pardo, and C. Zhang, "Multiple fundamental frequency estimation by modelling spectral peaks and non-peak regions," IEEE Transactions on Audio, Speech and Language Processing, vol. 18, no. 8, pp. 2121-2133, 2010.</p> <p>[2] Delgado Castro, A. "Iterative separation of note events from single-channel Polyphonic Recordings," Ph.D. University of York. 2019.</p>
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
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.