Find research datasets worth reusing

BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 7c. Results from SVM, ANN, SVMANN, and ANNSVM that used WLHT

From the results of ANNSVM_WL and ANNSVM_HT, we found that wavelet coefficients had a larger impact on classification than the Hough transformation data because the results from our proposed method applied to WL were more accurate than those of HT. The wavelet coefficients can capture the dominant characteristics from the graphs better than the Hough transformation. The one-dimensional image represented in the frequency domain had oscillations with different amplitudes depending on the graph types. For example, a dominant part of a pie chart should be in the low-frequency domain, because there is a large island of concatenated pixels in a onedimensional image, and it has only a few changes. Conversely, since the scatter plot contains many widely spread points, its dominant part should be located in the high-frequency domain. Performing the wavelet transformation, if a mother wavelet and a part of the wavelet function have a close match, the wavelet coefficient will be large. Assuming we use a suitable wavelet family with the example pie chart case, the wavelet coefficients in the low-frequency domain should be large as compared to other parts of the domain.

BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 7. Results from SVM, ANN, SVMANN, and ANNSVM that used WLHT

BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 6. Results from ANNSVN that used WL and HT

To identify which features of data influentially impacted data separability, we conducted experiments for ANNSVM with WL and HT (i.e., Figure 6). The WL contained only wavelet coefficients, whereas HT included only results of the Hough transformation. We found that, again, results obtained via the linear kernel were not significant; however, using the RBF kernel, accuracy for WL was higher than that of HT, indicating that wavelet coefficients provide influential features that make data separable.

BRAIN Journal-ANNSVM: A Novel Method for Graph-Type Classification by Utilization of Fourier Transformation, Wavelet Transformation, and Hough Transformation-Figure 5. Results from CNN and ANNSVM that used 1Dimg and 2Dimg

We compared the results of CNN_1Dimg, CNN_2Dimg, ANNSVM_1Dimg, and ANNSVM_2Dimg to confirm the validity of ANNSVM when applied to images. The 1Dimg represented the dataset of one-dimensional images, while 2Dimg represented the dataset of twodimensional images. Results are shown in Figure 5.

opencc-by-4.0Mar 2018View details →

Data and results for the paper "On the Rank-Distance Median of 3 Permutations"

The uploaded files contain: (1) the list of 13 real genomes of the campanulaceae family (in "signed gene permutation" format); (2) the raw input files obtained from simulating triplets using SCJ and DCJ operations (the folder name and the first number in the filename indicates the size of the genome; the second number in the filename indicates the rearrangement rate r; the third number in the filename indicates the iteration, from 0 to 9); each text file contains the three genomic matrices (the rawest data is in "Matlab files"); (3) the results of running our algorithms on the data obtained from simulating triplets using SCJ and DCJ operations (in .RData files); the Results element contains, for each size above, the performance of the algorithms on inputs of that size as well as the outputs of the algorithm for finding the median being tested; the Times element contains 10 groups of 5 times produced by timing the algorihtm on the inputs of the given size.

opencc-by-nc-4.0Dec 2017View details →

Atmospheric inversion results: sources of atmospheric halocarbons in the Eastern Mediterranean

Settings, run script, observations and results from all inverse modelling runs used in Schönenberger et al., APC, 2018, for European sources of halocarbons for the year 2013. Settings and run script can be found in <a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/inversion_run_scripts.tar.gz">inversion_run_scripts.tar.gz</a>. In order to reprocess the results the R package 'Rinversion' for atmospheric inversion (<a href="https://doi.org/10.5281/zenodo.1194641">https://doi.org/10.5281/zenodo.1194641</a>) has to be installed and the simulated source sensitivities (<a href="https://doi.org/10.5281/zenodo.1194037">https://doi.org/10.5281/zenodo.1194037</a>) have to be downloaded. Observations (<a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/halocarbon_observations.tar.gz">halocarbon_observations.tar.gz</a>) are post-processed observations of the AGAGE network (<a href="http://agage.mit.edu/">http://agage.mit.edu/</a>) plus those gathered at the Finokalia site (<a href="https://doi.org/10.5281/zenodo.1186221">https://doi.org/10.5281/zenodo.1186221</a>). Inversion results (<a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/inversion_results.tar">inversion_results.tar</a>) are contained as separate  packages for each individual sensitivity experiment described in the publication. The sensitivity experiments are listed in inversion_results/InversionRuns.xlsx and agree with those listed in Table 1 of the publication. Subfolders are organised by halocarbon species: HCFC_142b, HCFC_22, HFC_125, HFC_152a, HFC_134, HFC_143a. For each halocarbon results are stored in form of plots, ASCII spread sheets (csv, dat) or R data objects (.rda). Time series and distribution plots are available in separate subfolders. Intermediate data used by the inversion code are stored in 'intermediates', whereas the final results of each inversion run are stored as a single R object (inversion_results_XXX.rda).

opencc-by-4.0Dec 2017View details →

Raw results of the ORPHEUS quality of experience tests done by b<>com

This Excel document contains the raw results of the ORPHEUS project Quality of Experience tests done by b<>com. The first sheet contains the results while the second contains additional information about the data presented in the first sheet. More details about the experiments and the corresponding results can be found in the project's Deliverable 5.6.

Dataset for New Results on Tripod Packings

The files contain tripod packings obtained in the study "P.R.J. Östergård & A. Pöllänen, New results on tripod packings". More specifically, they prove the lower bounds in Table 5 of the paper. The two files contain sets of orbit representatives of codes and explicit packings in matrix form. For each type of symmetry, the results presented are for \(n = 3,4,\ldots\). Codewords are of the form \((x,y,z)\), where \(x,y,z \in \{0,1,\ldots ,n-1\}\). The symmetries are <ul> <li>\(r(x,y,z) = (z,x,y)\),</li> <li>\(p(x,y,z) = (y,x,z)\),</li> <li>\(o(x,y,z) = (n-1-x,n-1-y,n-1-z)\).</li> </ul>

opencc-by-4.0Sep 2016View details →

Survey Results - Use of new technologies for citizen participation

This survey took place in Münster, Germany between April 07, 2016 and April 17, 2016. The goal of the survey was collect citizens' perspectives about new technologies' role for citizen participation. The survey questions, as well as its results are provided in German. The datasets features both the raw data (i.e., all answers preprocessed to keep all participants anonymous), and the summary of the survey results.

Results from Performance Evaluation and Testing of Virtual Infrastructure Managers

NFV leverages Cloud Computing principles to move the data-plane network functions from expensive, closed and proprietary hardware to so-called Virtual Network Functions (VNFs). We deal with the management of virtual computing resources (Unikernels) for the execution of VNFs. This functionality is performed by the Virtual Infrastructure Manager (VIM) in the NFV MANagement and Orchestration (MANO) reference architecture. In this data set we report the results of a performance evaluation we have realized of three open source VIMs, namely OpenStack, Nomad and OpenVIM; both considering stock and the tuned versions. The VIMs and the performance evaluation tools that we employ are provided openly and can be downloaded from our repositories (<a href="https://github.com/superfluidity/openvim4unikernels">https://github.com/superfluidity/openvim4unikernels</a> and <a href="https://github.com/netgroup/vim-tuning-and-eval-tools">https://github.com/netgroup/vim-tuning-and-eval-tools</a>).

opencc-by-nc-nd-4.0May 2018View details →

AMBRE-GaiaDR2 results from UniDAM

Extra results from UniDAM. See also <a href="http://www2.mps.mpg.de/homes/mints/unidam.html">UniDAM homepage</a>

Using the Genetic Algorithm for the Optimization of Dynamic School Bus Routing Problem-Figure 10. Obtained experimental results

The GA procedure was carried out using the parameter values that can be seen in Table 1, for a total of 10 school bus services’ routes identified by means of mobile-based software for a school located in the Ankara Province. The obtained experimental results are shown in Table 2 and Figure 10. The algorithm working duration also includes the formation of a distances’ matrix.

A Facial Motion Capture System Based on Neural Network Classifier Using RGB-D Data-Figure 9. Results of our facial motion capture system(a,b,c,d)

In test procedures, single video feature vectors consisting of different expressions are given to the neural network and the network produces the corresponding labels for each frame as output. If there is a mode in a video which is not available in the data base, the nearest available mode's label to this mode is produced. For example, in test3 and test6 videos, the surprise expression (that have been showed with number 7) is recognized as open mouth expression. At the end, considering the certain numbers of subsequent similar labels (at least 10 frames, because the minimum number of one modes' frames is related to “rising the eyebrow” mode that takes 10 frames), the expressions are detected, and a 3D show of these expressions are represented. For instance, in test8 videos that have been obtained from unseen face, the “smiling” and “open mouth” expressions are well recognized, but expressions related to rising the eyebrows are not detected properly and all the corresponding frames to this expression are regarded as normal expression. Figure 9 shows example of generated 3D models.

P4ML Evaluation Results, Apr2018

Evaluation results for the P4ML system. There are four files: <ul> <li>DSBox-reults-all: contains the results of the p4ml system</li> <li>sklearn-results.txt: contains the results of the auto-sklearn system</li> <li>join-results.csv: p4ml results and autosklearn results aggregated together</li> <li>processing.txt: script used to count which system was better in each case, according to the current performance metric</li> </ul>

CIMULACT WP4 online consultation results

The online consultation (consultation.cimulact.eu) is part of the second consultation phase in the CIMULACT project. Its purpose is to create a space where citizens in the 30 countries are exposed to the 48 research scenarios resulting from the project's <a href="http://www.cimulact.eu/scenariococreationworkshop/">Milan co-creation workshop.</a> Within any one country, participants in the online consultations (‘regular citizens’ as well as others with various levels of relevant know-how) engage in depth with eight of these scenarios, according to their interests and/or expertise. Thus, the aim is to prioritize research scenarios and enrich them to some extent. The consultation format relies on a modified online Delphi template (dubbed Dynamic Argumentative Delphi, DAD). This format was tested in the past by the WP4 leader (Institutul de Prospectiva) on several occasions, including three national-scale consultations in Romania, each with thousands of respondents. Technical information on the DAD format is available at <a href="https://goo.gl/8XgY7j">https://goo.gl/8XgY7j</a>.

University of Lausanne Institutional Open Access Survey Results

This dataset contains the anonymized responses of 796 researchers from the institution who completed the 2017 institutional survey on Open Access.

opencc-by-4.0Jun 2018View details →

Results from Voigt profile fitting from Hiss et al. 2018

The file "cutoff_fitting.h5 " contains a subset of the joint distribution of the b-N distribution cutoff fitting parameters (b_0, Gamma), the joint distributions of the calibration values of the logT_0 - logb_0 relation (D, C), the distribution of the calibration factor of the (gamma-1) - (Gamma-1) relation (kappa) as well as our final joint distributions of the parameters of the temperature-density relation (T_0, gamma) for all redshifts presented in the paper. The README file gives basic instructions. The file read_example.py shows step by step how to read this information at a particular redshift.

opencc-by-4.0Jul 2018View details →

Time-averaged simulation results and in vivo measurements to show the impact of red blood cells on the flow field in the cortical microvasculature

The dataset contains 5 files. 4 of them are time-averaged results of blood flow simulations with discrete red blood cell (RBC) tracking in realistic microvascular networks. The 5th file contains median values of RBC velocity measurements at capillary bifurcations in the somatosensory cortex of the mouse. Further notes on the simulation results: - The realistic microvascular networks are from the mouse parietal cortex and have first been published in Blinder et al., 2013, Nature Neuroscience (<a href="https://doi.org/10.1038/nn.3426">https://doi.org/10.1038/nn.3426</a>). - The numerical model to simulate blood flow in realistic microvascular networks has been described in Schmid et al., 2017, PLOS Computational Biology (<a href="https://doi.org/10.1371/journal.pcbi.1005392">https://doi.org/10.1371/journal.pcbi.1005392</a>). - MVN1 and MVN2 stands for microvascular network 1 and 2, respectively. - wRBCs and wpPs stands for 'with red blood cells' and 'with passive particles'. These terms describe two different numerical models: The wRBC-model accounts for all RBC related flow phenomena. The wpP neglects the phase-separation and the Fahraeus-Lindqvist effect, i.e. RBCs and flow are decoupled. Further details are available from Schmid et al. (2019, <a href="https://doi.org/10.1371/journal.pcbi.1007231">https://doi.org/10.1371/journal.pcbi.1007231</a>) File format: pickle (Python) Files 1 - 4 (Time-averaged simulation results): Filenames: MVN1_wpPs.tar.bz2, MVN2_wpPs.tar.bz2, MVN1_wRBCs.tar.bz2, MVN2_wRBCs.tar.bz2 Each compressed folder contains two files: edgesDict.pkl: dictionary with edge/vessel related data:  <ul> <li>flow: Flow rate in vessel [um^3/ms]</li> <li>length: Vessel length [um] (Tortuosity is considered)</li> <li>htt: Tube hematocrit in vessel [-]</li> <li>diameter: Effective vessel diameter [um]</li> <li>connectivity: Vertex indices, e.g. start and end vertex of the corresponding vessel</li> </ul> verticesDict.pkl: dictionary with vertex/bifurcation related data: <ul> <li>index: Index of the current vertex </li> <li>coords: Coordinates to describe the position of the vertex [um]</li> <li>pressure: Pressure at the vertex [mmHg]</li> </ul>   File 5 (in vivo RBC velocity measurements): Filename: measurementDict.pkl keys: <ul> <li>divergent_d1: divergent bifurcation, RBC velocity measurement in daughter vessel 1</li> <li>divergent_d2: divergent bifurcation, RBC velocity measurement in daughter vessel 2</li> <li>convergent_m1: convergent bifurcation, RBC velocity measurement in mother vessel 1</li> <li>convergent_m2: convergent bifurcation, RBC velocity measurement in mother vessel 2</li> </ul> Data structure: list of list, e.g. daughter vessel 1: [[bif.1 - measure.1, bif.1 - measure.2, bif.1 - measure.3], [bif.2 - measure.1, bif.2 - measure.2, bif.2 - measure.3],...] bif.: bifurcation, measure.: measurement. The order of bifurcations is the same for 'divergent_d1' and 'divergent_d2' (and for 'convergent_m1' and 'convergent_m2').

opencc-by-4.0Jan 2018View details →

Data providers package for reporting monitoring results for veterinary medicinal product residues (official data reporting phase)

This data providers package provides the data collection configuration and supporting materials for reporting veterinary medicinal product residues (VMPR) results according to Council Directive 96/23/EC of 29 April 1996 on measures to monitor certain substances and residues thereof in live animals and animal products and repealing Directives 85/358/EEC and 86/469/EEC and Decisions 89/187/EEC and 91/664/EEC. These are to be used for the official data reporting phase. The package includes: Advice on the values to be reported for the mandatory fields specified for this data collection. The Standard Sample Description Version 2 XML schema definition for VMPR reporting. The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided. The general and VMPR specific business rules applied for the automatic validation of the submitted datasets. The VMPR specific terminologies to be used for reporting analytical methods and the residues included in the scope of the analytical methods. An example of a reportable dataset following the Quick Start Reporting guide. Excel Mapping tool to convert excel files after mapping into XML document. Guidance on how to use the Excel Mapping tool. Guidance on how to run the validation report after submitting data to the DCF.

PLD results with BRES-Ms. 1333

Combination of screenshots with 'color' and 'shaded' shaders of KU Leuven Libraries, Special Collections: BRES-Ms. 1333; A and B details with incorporated measure tool activated, rendered in PLDviewer 7.0.05.