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25 Data files visible to you, out of a total of 29

Keçeci Binomial Squares (Keçeci Binom Kareleri): Keçeci's Arithmetical Square (Keçeci Aritmetik Karesi, Keçeci'nin Aritmetik Karesi)

Description / Açıklama

Keçeci Binomial Squares (Keçeci Binom Kareleri): Keçeci's Arithmetical Square (Keçeci Aritmetik Karesi, Keçeci'nin Aritmetik Karesi):

Keçeci Binomial Squares (Keçeci Binom Kareleri): The Keçeci Binomial Square is a series of binomial coefficients forming a square region within Khayyam (مثلث خیام), Pascal, Binomial Triangle, selected from a ...

Description

This is a training dataset for use in Galaxy materials science tutorials. These files can be compared to the output of simulations by MuSpinSim for dissipation of muon spins.

The files included are:

dissipation_theory.dat: theoretical values formatted as a MuSpinSim output experiment.dat: mock experimental values formatted as a MuSpinSim output

Creators: Patrick Austin, Muon Spectroscopy Computational Project

Submitter: Stian Soiland-Reyes

Türkçe Tanım:

Oresme Sayıları, 14. yüzyılda Nicole Oresme tarafından incelenen matematiksel serilerdir. Oresme sayıları harmonik seriye ait toplamları ifade eder. İki türü vardır:

( \frac{n}{2^n} ) serisi (Oresme'nin orijinal çalışması), Harmonik sayılar (( H_n = 1 + \frac{1}{2} + \cdots + \frac{1}{n} )). Bu sayılar, analiz ve sayı teorisinde önemli rol oynar.

English Definition:

Oresme Numbers are mathematical series studied by Nicole Oresme in the 14th century. Oresme numbers refer to the sums ...

Oresmej: Oresme Jax

Oresme numbers refer to the sums related to the harmonic series. Türkçe Tanım:

Oresme Sayıları, 14. yüzyılda Nicole Oresme tarafından incelenen matematiksel serilerdir. Oresme sayıları harmonik seriye ait toplamları ifade eder. İki türü vardır:

( \frac{n}{2^n} ) serisi (Oresme'nin orijinal çalışması), Harmonik sayılar (( H_n = 1 + \frac{1}{2} + \cdots + \frac{1}{n} )). Bu sayılar, analiz ve sayı teorisinde önemli rol oynar.

English Definition:

Oresme Numbers are mathematical ...

Download all genome from https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/virus?SeqType_s=Nucleotide with filter host:viridiplantae and Refseq on.

Creator: johan Rollin

Submitter: johan Rollin

This public data repository (https://public.spider.surfsara.nl/project/lidarac/MAMBO/) provides the LiDAR point cloud datasets which were clipped using the boundary polygons (shapefiles) of the MAMBO demonstration sites. The raw LiDAR point cloud tiles were first downloaded from the national repository in the respective country based on the approximate location of each demonstration site. The data repository uses the storage services from the Dutch IT infrastructure SURF (https://www.surf.nl/en). ...

This dataset is an RO-Crate representation of an execution of the tissue/tumor prediction workflow for digital pathology from crs4/deephealth-pipelines. It follows the Provenance Run Crate profile. The workflow has been run with cwltool, using the --provenance option to generate a CWLProv RO bundle, and then converted to an RO-Crate using runcrate. The input dataset is Mirax2-Fluorescence-2 by Yves Sucaet, from the MIRAX test data.

Creator: Simone Leo

Submitter: Stian Soiland-Reyes

An example input file for the Specimen Data Refinery workflow

Creators: None

Submitter: Oliver Woolland

This is a training dataset for use in Galaxy materials science tutorials. These files can be used to demonstrate the AIRSS (Ab-Initio Random Structure Searching) method for finding muon stopping sites, using the UEP (Unperturbed Electrostatic Potential) technique for the optimisation stage of that method.

The files included are:

Si.cell: structure file containing atom locations Si.den_fmt: electron density data, generated with CASTEP Si.castep: CASTEP log file for the electron density calculation ...

Creators: Eli Chadwick, Muon Spectroscopy Computational Project

Submitter: Stian Soiland-Reyes

This text file (‘epsgs.txt’) provides the specifications of the coordinate reference system for the countries in which the MAMBO demonstration sites are located. It uses the standard machine-readable code from the European Petroleum Survey Group (EPSG) for coordinate systems worldwide (https://epsg.io/). The text file with the EPSG specifications is loaded in the Rasterization Jupyter Notebook of Laserfarm.

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