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4 results for “projection matrices”
Site occupancy matrices, The River Ouse Project
<p>The <a href="http://www.sussex.ac.uk/riverouse/">River Ouse Project</a> was started by Dr Margaret Pilkington and colleagues in the Centre for Continuing Education, University of Sussex. Margaret is now retired with emeritus status and continues to run the project with a team of volunteers, in association with the University of Sussex. The team does botanical surveys of streamside grassland and steep wooded valleys (gills) in the upper reaches of the Sussex Ouse, a short flashy river arising on the southern slopes of the High Weald AONB (Area of Outstanding Natural Beauty). Survey sites are chosen on the basis of species richness, potential for restoration and contribution to flood control, and surveyed using the sampling methods outlined in Rodwell, J S (1992. British Plant Communities, Volume 3, Grasslands and Montane Communities). Survey data are transferred from the paper record taken in the field to Excel spreadsheets, and from there after validation and cleaning into two MySQL (MariaDB) databases, meadows and gills.</p> <p>The file is an extract from the meadows database. It contains binary data of the site occupancy for most of the plants encountered in meadow sites (stands, assemblies) sampled using five 2m x 2m quadrats. Details of the database are available here: <a href="https://zygodon.github.io/River-Ouse-Project-databases/">River Ouse Project databases</a>. </p> <p>For further details and access to the full database contact the author.</p>
Figure 3.- Projection des deux matrices d in Composition et variations nycthémérales des peuplements ichtyologiques des petits fonds mixtes du golfe d'Annaba, Algérie
Figure 3.- Projection des deux matrices d'abondance composées des mois (en lignes) et des espèces (en colonnes). Les espèces occasionnelles n'ont pas été considérées dans les calculs. A.b: Atherina boyeri, A.p: Atherina punctata, B.b: Boops boops, C.L: Chelon labrosus, D.a: Diplodus annularis, D.v: Diplodus vulgaris, D.s.s: Diplodus sargus sargus, L.a: Liza aurata, L.r: Liza ramada, L.s: Liza saliens, L.m: Lithognathus mormyrus, M.b: Mullus barbatus barbatus, M.s: Mullus surmuletus, O.m: Oblada melanura, P.m: Pomatoschistus marmoratus, S.s: Sarpa salpa, S.p: Scorpaena porcus, S.o: Symphodus ocellatus, S.t: Symphodus tinca, S.t.r: Syngnathus typhle, T.o: Trachinotus ovatus, T.d: Trachirus draco. [Projection of the two abundance matrices composed of the months (in lines) and species (in columns)].
Projection matrices for numerical examples of "An adaptive model order reduction technique for parameter-dependent modular structures"
<p>This data set contains supplementary data for the paper:<br> 'An adaptive model order reduction technique for parameter-dependent modular structures'</p> <p>The Authors are:<br> Stephan Ritzert (a), Domen Macek (a), Jaan-Willen Simon (b), Stefanie Reese (a)</p> <p>Affiliations:<br> (a) Institute of Applied Mechanics, RWTH Aachen University, Mies-van-der-Rohe-Str. 1, 52074 Aachen, Germany<br> (b) Civil Engineering Mechanics, University of Wuppertal, Pauluskirchstr. 7, 42285 Wuppertal, Germany</p> <p>Contact: stephan.ritzert@ifam.rwth-aachen.de</p> <p>### The Dataset ###</p> <p>The dataset contains all mesh files and all projection matrices used for the numerical examples 2,3, and 4.</p> <p>Example 2: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p>Example 3: Naming of projections matrices<br> -Square: The projection matrices depend on the parameter alpha: {0,5,10,...,90}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '.txt'</p> <p> -Rectangle: The projection matrices depend on the parameter alpha: {0,5,10,...,180}, and the length lx: {600,700,800,900,1000,1100,1200}<br> The name of the projection matrix is 'PsiTransIso' + alpha + '-' + lx + '.txt'</p> <p><br> Example 4: Naming of projections matrices<br> -curved: The projection matrices depend on the parameter phi: {20,30,...,90}<br> The name of the projection matrix is 'PsiIso' + phi + '.txt'</p> <p> -rectangle: The projection matrices depend on the parameter lx: {600,800,1000,1200}<br> The name of the projection matrix is 'PsiIso' + lx + '.txt'</p> <p> </p> <p> </p>
Human Connectome Project resting-state fMRI Connectivity Matrices (Young Adult + Aging)
<p>This database contains the connectivity matrices of the resting-state functional MRI scans that were collected in two databases of the Human Connectome Project, Young Adult and Aging. These matrices contain the functional connectivity between brain regions (here, several different brain atlases were used, leading to several different connectivity matrices for each subject). The connectivity matrices are symmetrical <em>n x n </em>matrices. Here, <em>n</em><em> </em>indicates the number of regions present in the atlas, and any number <em>n<sub>i,j </sub></em>in the matrix is generated by calculating a simple Pearson correlation coefficient between the functional time series that describe the functional activation of regions <em>i </em>and <em>j</em> throughout the resting-state functional scan. The matrices presented in this database are present as .pconn.nii files (which can be handled using software like wb_command) or as .txt file. </p> <p>A full explanation of the database and the brain atlases used here, as well as all the scripts used to generate these connectivity matrices can be found on the GitHub page of this project: <a href="https://github.com/floristijhuis/HCP-rfMRI-repository">floristijhuis/HCP-rfMRI-repository (github.com)</a>.</p>
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