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849 results for “linear”
Three datasets containting the solutions of FEA simulations for a 2D Linear Elastic Model, a 2D Hyperelastic Model and a 3D Linear Elastic Model
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lcUMAPtSNE: Use of non-linear dimensionality reduction techniques with genotype likelihoods
<p>This repository contains genotype likelihood estimations derived from open-access whole-genome re-sequencing datasets of the scimitar-horned oryx (SO). The dataset was downsampled to exhibit varying coverage levels, including 6x, 2x, and 0.5x. Genotype likelihoods were estimated, followed by the calculation of principal components and subsequent application of UMAP and t-SNE with varying parameter settings, as detailed in Uzel et al. (2025). All intermediate and input files generated from these datasets are available here. Genotype likelihood estimations are provided in the formats '.beagle.gz' and '.mafs.gz'. Additionally, the repository contains the input covariance matrix ('.cov') for each dataset and the population information file for each group, which were employed in the non-linear dimensionality reduction steps described in Uzel et al. (2025).</p> <h3>Raw data resources</h3> <p>All raw sequencing data we used in this study were downloaded from public databases, and no new data were generated.</p> <p>The scimitar-horned oryx data were acquired from NCBI BioProject PRJEB37295 (Humble et al. 2023)</p> <h3>Code/Software</h3> <p>All bioinformatic codes used for generating the results and guidelines presented in Çilingir et al. (2024) are available at <strong><a href="https://github.com/fgcilingir/lcUMAPtSNE">https://github.com/fgcilingir/lcUMAPtSNE</a>.</strong></p> <h3>Literature Cited</h3> <p>Humble, E., Stoffel, M. A., Dicks, K., Ball, A. D., Gooley, R. M., Chuven, J., Pusey, R., Remeithi, M. A., Koepfli, K.-P., Pukazhenthi, B., Senn, H., & Ogden, R. (2023). Conservation management strategy impacts inbreeding and mutation load in scimitar-horned oryx. <em>Proceedings of the National Academy of Sciences of the United States of America</em>, <em>120</em>(18), e2210756120.<br><br>Uzel, K., Grossen, C., Çilingir, F.G. (2025) lcUMAPtSNE: Use of non-linear dimensionality reduction techniques with genotype likelihoods. <em>bioRxiv,</em> https://doi.org/10.1101/2024.04.01.587545.</p>
Non-linear effects of precipitation on river water quality revealed by city-level causal modelling
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Linear Regression BAM - UCentral Monitor
<p>Experimental measurement of PM2.5 in Bogota using a low-cost sensor developed in Universidad Central vs a BAM in Ferias Station</p>
Linear vs. nonlinear hedging rules for reservoir optimization operation
<p>Data used in PD reservoir operation</p>
Supplementary material 1 from: Conan A, Fleitz J, Garnier L, Le Brishoual M, Handrich Y, Jumeau J (2022) Effectiveness of wire netting fences to prevent animal access to road infrastructures: an experimental study on small mammals and amphibians. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 271-281. https://doi.org/10.3897/natureconservation.47.71472
Supplementary materials and methods
Supplementary material 1 from: Sur S, Saikia PK, Saikia MK (2022) Speed thrills but kills: A case study on seasonal variation in roadkill mortality on National highway 715 (new) in Kaziranga-Karbi Anglong Landscape, Assam, India. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 87-104. https://doi.org/10.3897/natureconservation.47.73036
Figures S1–S5
Supplementary material 1 from: Paquet J-Y, Swinnen K, Derouaux A, Devos K, Verbelen D (2022) Sensitivity mapping informs mitigation of bird mortality by collision with high-voltage power lines. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 215-233. https://doi.org/10.3897/natureconservation.47.73710
Table S1
Supplementary material 1 from: Ferreira EM, Valerio F, Medinas D, Fernandes N, Craveiro J, Costa P, Silva JP, Carrapato C, Mira A, Santos SM (2022) Assessing behaviour states of a forest carnivore in a road-dominated landscape using Hidden Markov Models. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 155-175. https://doi.org/10.3897/natureconservation.47.72781
Figures S1–S3
Supplementary material 1 from: Cirino DW, Lupinetti-Cunha A, Freitas CH, de Freitas SR (2022) Do the roadkills of different mammal species respond the same way to habitat and matrix? In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 65-85. https://doi.org/10.3897/natureconservation.47.73010
Correlation plot and R script for building and selecting best models
Supplementary material 4 from: Paquet J-Y, Swinnen K, Derouaux A, Devos K, Verbelen D (2022) Sensitivity mapping informs mitigation of bird mortality by collision with high-voltage power lines. In: Santos S, Grilo C, Shilling F, Bhardwaj M, Papp CR (Eds) Linear Infrastructure Networks with Ecological Solutions. Nature Conservation 47: 215-233. https://doi.org/10.3897/natureconservation.47.73710
Figures S1–S17
Imaging and phase-locking of non-linear spin waves
<p>All primary data and simulation scripts used in the manuscript and SI</p>
Increased inertia triggers linear responses in motor cortices during large-extent movements – an fNIRS study
<pre>Representative video footage of actual experimental scenarios. </pre>
On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language
<p>Experimental material & data</p>
Data for "Quantum algorithm for the variational optimization of correlated electronic states with the linear method"
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MODELING THE STACKELBERG STRATEGY IN A LINEAR MODEL (LINEAR CITY) HOTTELING.
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Enhancing Regional Quasi-Geoid Refinement Precision: An Analytical Approach Employing ADS80 Tri-linear Array Stereoscopic Imagery for Aerial Triangulation Densification and GNSS Gravity-Potential Leveling
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Figure 3 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 3. Histograms and scatter plots between length (L), width (W), the product between length and width (LW), the product between length and length (LL), the product between width and width (WW), and observed leaf area (LA) of 300 leaf limbs of Thespesia populnea.
Figure 4 in Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades
Figure 4. Relationship between the observed leaf area (LA) and the product between length and width (LW) of the leaf limbs of Thespesia populnea, using the equation ŷ = 0.69 * LW1.01.
Data from: miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs
<p>These datasets can be used to reproduce all analyses from the publication "miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs" in conjunction with codes found at https://github.com/mccall-group/miRglmm_paper. </p> <p>"Monocyte_data_subset.rda", "monocyte_exact_subset_filtered2.rda" and "sims_N100_m2_s1_rtruncnorm.rda" can be used to reproduce the simulation analysis. </p> <p>"panel_B_SE.rda" and "ERCC_filtered.rda" can be used to reproduce the ERCC synthetic data analysis with known ground truth.</p> <p>"study89_data_subset.rda" and "study89_data_subset_filtered2.rda" can be used to reproduce the immune cell-type analysis. </p> <p>"bladder_testes_data_subset.rda" and "bladder_testes_data_subset_filtered2.rda" can be used to reproduce the bladder vs testes tissue analysis.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.