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6 results for “linear discriminant analysis”
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB). in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 9. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83), as well as according to recent Howells's database (n = 2524, f = 1156, m = 1368) with variables M1 (GOL) and M45 (ZYB).
Text-fig. 10. Regional affinity of the Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using the Henke's Late Upper Palaeolithic and Mesolithic database (Europe, n = 76) with variables M1 (GOL), M5 (BNL), M8 (XCB), M40 (BPL), W – West Europe, CE – Central-East Europe, S – South Europe. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 10. Regional affinity of the Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using the Henke's Late Upper Palaeolithic and Mesolithic database (Europe, n = 76) with variables M1 (GOL), M5 (BNL), M8 (XCB), M40 (BPL), W – West Europe, CE – Central-East Europe, S – South Europe.
alfa-synuclein spectra for the paper "Linear discriminant analysis reveals hidden patterns in NMR chemical shifts of intrinsically disordered proteins"
<p>The experimental data for the paper "Linear discriminant analysis<br> reveals hidden patterns in NMR chemical shifts of intrinsically<br> disordered proteins" - four spectra of an intrinsically disordered<br> protein alfa-synuclein:</p> <p>3D HNCO</p> <p>4D HabCab(CO)NH</p> <p>4D (H)N(CA)CONH</p> <p>4D HNCACO</p> <p>All spectra were acquired using non-uniform sampling (schedules included<br> as 'schedule.txt' files in a format of 'Kozminski' method in VnmrJ). 3D<br> spectrum (HNCO_nuFT.ucsf) was processed using multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'toastd'). Additionally, we provide a spectrum cleaned of NUS artifacts (HNCO_artifacts_cleaned.ucsf) using program handy (http://nmr.cent3.uw.edu.pl/software, program 'handy').</p> <p>4D spectra were processed using sparse multidimensional Fourier transform<br> (http://nmr.cent3.uw.edu.pl/software, program 'reduced'), based on a<br> HNCO peak list ('peak.list' file). Files with processing parameters are<br> included as 'parameters.txt' files.</p> <p>The resulting spectra are included as Sparky .ucsf files. The files for<br> 4D spectra are the collections of 2D cross-sections with the<br> cross-section number corresponding to the numbering of HNCO peaks in the<br> 'peak.list' file.</p> <p>The folder 'Application2_assignment_transfer' contains Sparky 'ucsf' and 'save' files of the two-dimensional NH projection of the HNCO spectrum with the experimental (HSQC_exp.list) and BMRB (HSQC_bmrb.list) peak lists read into the spectrum. The experimental peaks are marked with arbitrary numbers and BMRB peaks - with names of the preceding aa-residues. The correct assignment is shown in the file 'assignment.txt'.</p>
TCHES artefact dataset for paper : Efficient Regression-Based Linear Discriminant Analysis for Side-Channel Security Evaluations
<p>This dataset allows reproducing the results of the CHES 2023 paper : "Efficient Regression-Based Linear Discriminant<br> Analysis for Side-Channel Security Evaluations".</p> <p>It contains the side-channel measurements necessary to do so.</p> <p>Scripts and readme is available at the CHES artefact site : <link not yet alive></p> <p> </p>
FIGURE 5. Linear discriminant analysis plot that summarizes the total variation among five Ceratozamia species into two axes. Biplots A–I in Ceratozamia rosea (Zamiaceae): A new species from the Northern Mountains of Chiapas, Mexico
FIGURE 5. Linear discriminant analysis plot that summarizes the total variation among five Ceratozamia species into two axes. Biplots A–I correspond to traits listed in Table 2. Abbreviations: C. becerrae (bec), C. miqueliana (miq), C. rosea (ros), C. sancheziae (san), and C. zoquorum (zoq).
Text-fig. 8. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83) with variables M1 (GOL) and M45 (ZYB). As the closest to the Moča skull, the following fossil samples from Mesolithic could be identified: Vlasac, Arruda 2, Moita 16, Moita 17, Téviec 2, Téviec 3. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 8. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83) with variables M1 (GOL) and M45 (ZYB). As the closest to the Moča skull, the following fossil samples from Mesolithic could be identified: Vlasac, Arruda 2, Moita 16, Moita 17, Téviec 2, Téviec 3.
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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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DANDI Archive for NWB datasets
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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.