Contributors:Gonzalez Lauro, Paula Reis Kasmirski, Motta Victor
We use the rounds IV (2008/2009) and V (2012/2013) of the Business Environment and Enterprise Performance Surveys (BEEPS) jointly conducted by the European Bank for Reconstruction and Development (EBRD) and the World Bank.
FaultRecovery is a tool to restore fault displacement, and you can easily obtain the horizontal displacement of fault with this tool.
The following date include user manual, test data, output files, source code and Executable program
Supplement of the article "Norms of interocular circumpapillary retinal nerve fiber layer thickness differences at 768 retinal locations", accepted for publication in Translational Vision Science & Technology
Contributors:Li Yaozhu, McCausland Phil J. A. , Flemming Roberta L.
Best Fit for Complex Peaks (BFCP V3.0).
BFCP Matlab application, BFCP Standalone Desktop App (Matlab Runtime), BFCP user manual for V3.0, BFCP scripts (Pseudo-Voigt only), and tested data.
Detail is in the manuscript: Li et al. Best Fit for Complex Peaks (BFCP) in Matlab® for Quantitative Analysis of in situ 2D X-Ray Diffraction Data and Raman Spectra
Data accompanying the manuscript "Dense sampling of bird diversity increases power of comparative genomics" In Nature releasing of 267 bird genomes as part of the Bird 10,000 Genome Project (B10K), in addition to orthology assignments and analyses on a total of 363 genomes.
The dataset includes
- Extended Data Figures. Zoomable PDFs for some Extended Data Figures 2e, 3, 6, 7c, 8a with tip labels; gene tree file for GH orthologs shown in Extended Data Figure 6.
- Supplementary Tables 1 to 15. Captions are given in supplementary_table_captions.txt. Tables can be downloaded individually or as a package (supplementary_tables.zip).
Sample information for each genome and genome statistics (Supplementary Table1) can also be viewed online at https://b10k.scifeon.cloud/.
- B10K_name_map.xls. Allows translation of B10K sample codes, short 6 letter codes used in ortholog annotations and species latin name.
- Supplementary File 2. The tree file in newick format for all 10,135 species of birds. The tree was pruned from the synthesis tree by excluding all subspecies, operational taxonomic units and unaccepted species as described in Supplementary File 1.
Contributors:van der Voort Sebastian, Incekara Fatih, Wijnenga Maarten, Kapas Georgios, Gardeniers Mayke, Schouten Joost, Starmans Martijn, Nandoe Tewarie Rishie, Lycklama Geert, French Pim, Dubbink Hendrikus, van den Bent Martin, Vincent Arnaud, Niessen Wiro, Klein Stefan, Smits Marion
Data belonging to the 'Predicting the 1p/19q co-deletion status of presumed low grade glioma with an externally validated machine learning algorithm' paper, as publisched in Clinical Cancer Research. When using this data please cite: Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm. Sebastian R. van der Voort, Fatih Incekara, Maarten M.J. Wijnenga, Georgios Kapas, Mayke Gardeniers, Joost W. Schouten, Martijn P.A. Starmans, Rishie Nandoe Tewarie, Geert J. Lycklama, Pim J. French, Hendrikus J. Dubbink, Martin J. van den Bent, Arnaud J.P.E. Vincent, Wiro J. Niessen, Stefan Klein and Marion Smits. Clin Cancer Res December 15 2019 (25) (24) 7455-7462; DOI: 10.1158/1078-0432.CCR-19-1127
Data includes trained SVM models, image features derived for all patients, labels for all patients, PCE models used to derive feature importance and segmentations made for the LGG-1p19qDeletion dataset from The Cancer Imaging Archive (https://wiki.cancerimagingarchive.net/display/Public/LGG-1p19qDeletion#a888d85b04c640eeaf802e12db2dc8ad)
Contributors:Garcia-Macias Enrique, Martínez-Castro Alejandro E.
All the data relating the case studies used to validate the HTSA approach. These include: simply supported beam, continuous three-span bridge, the viaduct of Rodenillo, and the viaduct of Santa Ana. Along with the data files, MATLAB scripts are also provided to post-process the results.
Contributors:Leger Tancrède , Hein Andrew, Bingham Robert, Martini Mateo, Rodrigo León Soteres García, Sagredo Esteban, Martínez Oscar
This open-access data comprises the twenty-six shapefiles necessary to visualise and analyse our glacial geomorphological map on a geographical information system (such as ArcGIS) (folder 01). All shapefiles are georeferenced in the WGS84 geographic reference coordinate system. Each of the 25 data folders comprise 7 file formats: .shp , .cpg , .dbf , .prj , .sbn , .shx , and Adobe Illustrator Tsume File (.sbx). To enable an easier download process, if required, we also provide the 26 shapefiles in .shp format only, together in folder 02. We further provide a table with recommended RGB colours per shapefile to enable optimum visualisation (folder 03). Please cite original publication when using and/or referring to these data.
Contributors:Alakus Talha Burak, Gonen Murat, Turkoglu Ibrahim
This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.