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849
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ShareScore release 0.7.1
Dataset results
849 results for “linear”
Data for: Early radial positional information in the cochlea is optimized by a precise linear BMP gradient and enhanced by SOX2
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Data from: Blouch: Bayesian linear Ornstein-Uhlenbeck models for comparative hypotheses
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Data from: Non-linear effect of sea ice: Spectacled Eider survival declines at both extremes of the ice spectrum
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Profiling of linear B-cell epitopes against human coronaviruses in pooled sera sampled early in the COVID-19 pandemic
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Dental linear metrics from a wild population of baboons (Papio cynocephalus), Kenya
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Data from: Non-linear effects of phenological shifts link inter-annual variation to species interactions
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Neighboring edges: interacting edge effects of linear disturbances on vegetation in treed fens
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Floral visitation to alien plants is non-linearly related to their phylogenetic and floral similarity to native plants
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A new biomechanical approach on cranial sutures function: The role of contact elements in linear and non-linear models
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Decadal oscillations in the ocean's largest oxygen-deficient zone - coral isotopes records & linear extension rates
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Rove beetle (Staphylinidae) assemblages following the cumulative effect of wildfire and linear footprint in Boreal treed peatlands of northeastern Alberta (Canada)
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Protea repens whole transcriptome count data for control and drought treatment for 8 populations, climatic data for the 8 populations and phenotypic data collected, and data used for linear mixed models for climate gene expression/trait correlation testing
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Non linear nitrous oxide response to nitrogen fertilizer at the Kellogg Biological Station, Hickory Corners, MI (2007 to 2008)
Dataset Abstract A compilation of data from John Hoben’s thesis work. Six rates of nitrogen fertilizer (0-225 kg N ha-1) were broadcast and incorporated prior to planting on commercially farmed fields in Michigan at four farms and one experiment station. All sites were planted to corn and studied in 2007 and 2008. Site abbreviations are as follows: Kellogg Biological Station, KB; Mason, MA; Stockbridge, SB; Fairgrove, T1; Reese, T2. Please refer to the thesis (2009) and primary publication (2010) for additional information. Hoben, J. P.; Gehl, R. J.; Millar, N.; Grace, P. R.; Robertson, G. P., Nonlinear nitrous oxide (N2O) response to nitrogen fertilizer in on-farm corn crops of the US Midwest. Global Change Biology 2010, 17(2), 1140-1152. Hoben, J. P. 2009. On-farm nitrous oxide (N2O) response to nitrogen fertilizer in corn cropping systems. MS Thesis, Michigan State University, East Lansing, Michigan, USA. original data source http://lter.kbs.msu.edu/datasets/133
Weak signal enhancement by non-linear resonance control in a forced nano-electromechanical resonator
<p>All the data for figures shown in the article entitled "Weak signal enhancement by non-linear resonance control in a forced nano-electromechanical resonator"</p>
Pairwise distance demarcation of species in the family Coronaviridae. a, Diagonal matrix of PPDs of 2,505 viruses clustered according to 49 coronavirus species, 39 established and 10 pending or tentative, and ordered from the most to least populous species, from left to right; green and white, PPDs smaller and larger than the inter-species threshold, respectively. Areas of the green squares along the diagonal are proportional to the virus sampling of the respective species, and virus prototypes of the five most sampled species are specified to the left; asterisks indicate species that include viruses whose intra-species PPDs crossed the inter-species threshold (threshold 'violators'). b, Maximal intra-species PPDs (x axis, linear scale) plotted against virus sampling (y axis, log scale) for 49 species (green dots) of the Coronaviridae. Indicated are the acronyms of virus prototypes of the seven most sampled species. Green and blue plot sections represent intra-species and intra-subgenera PPD ranges. The vertical black line indicates the inter-species threshold. c, Shown are the PDs of non-identical residues (y axis) for four viruses representing three major phylogenetic lineages (clades) of the species Severe acute respiratorysyndrome-related coronavirus (panel b) and all pairs of the 256 viruses of this species ('all pairs'). The PD values were derived from pairwise distances in the MSA that were calculated using an identity matrix. Panels a and b were adopted from the DEmARC v.1.4 output. in The species Severe acute respiratory syndromerelated coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2
Pairwise distance demarcation of species in the family Coronaviridae. a, Diagonal matrix of PPDs of 2,505 viruses clustered according to 49 coronavirus species, 39 established and 10 pending or tentative, and ordered from the most to least populous species, from left to right; green and white, PPDs smaller and larger than the inter-species threshold, respectively. Areas of the green squares along the diagonal are proportional to the virus sampling of the respective species, and virus prototypes of the five most sampled species are specified to the left; asterisks indicate species that include viruses whose intra-species PPDs crossed the inter-species threshold (threshold 'violators'). b, Maximal intra-species PPDs (x axis, linear scale) plotted against virus sampling (y axis, log scale) for 49 species (green dots) of the Coronaviridae. Indicated are the acronyms of virus prototypes of the seven most sampled species. Green and blue plot sections represent intra-species and intra-subgenera PPD ranges. The vertical black line indicates the inter-species threshold. c, Shown are the PDs of non-identical residues (y axis) for four viruses representing three major phylogenetic lineages (clades) of the species Severe acute respiratorysyndrome-related coronavirus (panel b) and all pairs of the 256 viruses of this species ('all pairs'). The PD values were derived from pairwise distances in the MSA that were calculated using an identity matrix. Panels a and b were adopted from the DEmARC v.1.4 output.
Datasets for linear regression on Swedish Motor Insurance
<p>In this project we have 3 datasets. Training Set and Test set consists of the input data from Swedish Motor Insurance dataset which is dividen in ratio 80%-20%. Third dataset consists of our predictions for Sum of payments using linear regression.</p>
HC160: A dataset of linear, cyclic, and aromatic hydrocarbons
<p>This dataset contains the information of three different class of hydrocarbons (linear, cyclic, and aromatic) containing up 16 carbon atoms, see HC-info.png. Geometry optimization and quantum mechanical property calculations were performed by using FHI-aims code at PBE0+MBD level of theory. For all calculations, ``tight'' settings were applied for basis functions and integration grids. Energies were converged to 10<sup>-6</sup> eV and the accuracy of the forces was set to 10<sup>-4</sup> eV/Å. The convergence criteria used during self-consistent field (SCF) optimazations were 10<sup>-3</sup> eV for the sum of eigenvalues and 10<sup>-6</sup> electrons/Å<sup>3</sup> for the charge density.</p> <p>The dataset is provided in the HDF5 based file "HC160.hdf5". One can also find here a README file with technical usage details and examples of how to access the information stored in the dataset (see createDB.py). </p>
Sample data of the CRCM5-LE for applications of the Latent Linear Adjustment autoencoder
<p>This is a sample of the CRCM5-LE (<a href="https://journals.ametsoc.org/jamc/article/58/4/663/336/The-ClimEx-Project-A-50-Member-Ensemble-of-Climate">Leduc et al. 2019</a>) for the applications of the Latent Linear Adjustment autoencoder as demonstrated in Heinze-Deml et al., 2020. The sample data set is a subset of the CRCM5-LE. The original data can be accessed at the <a href="https://www.climex-project.org/en/data-access">ClimEx data Access page</a>.</p> <p> </p> <p><strong>References</strong></p> <p>Heinze-Deml C., Sippel, S., Pendergrass, A. G., Lehner, F., and Meinshausen, N., 2020: Latent Linear Adjustment autoencoders: A novel method for estimating and emulating dynamic precipitation at high resolution. arXiV preprint</p> <p>Leduc, M., A. Mailhot, A. Frigon, J. Martel, R. Ludwig, G.B. Brietzke, M. Giguère, F. Brissette, R. Turcotte, M. Braun, and J. Scinocca, 2019: The ClimEx Project: A 50-Member Ensemble of Climate Change Projections at 12-km Resolution over Europe and Northeastern North America with the Canadian Regional Climate Model (CRCM5). J. Appl. Meteor. Climatol., 58, 663–693, <a href="https://doi.org/10.1175/JAMC-D-18-0021.1">https://doi.org/10.1175/JAMC-D-18-0021.1</a>.</p>
A Unified Translation of Linear Temporal Logic to ω-Automata: Supplemental Material for the Experimental Evaluation
<p>This dataset contains the evaluated tools and the data on which the experimental evaluation section of the article "A Unified Translation of Linear Temporal Logic to ω-Automata" by Javier Esparza, Jan Křetínský, and Salomon Sickert is based on. Further, we include instructions on how to recreate the results.</p>
Does conspicuousness scale linearly with colour distance? a test using reef fish
<p><span><span><span><span><span><span><span><span><span><span><span>To be effective, animal colour signals must attract attention – and therefore need to be conspicuous. To understand signal function, it is useful to evaluate their conspicuousness to relevant viewers under various environmental conditions, including when visual scenes are cluttered by objects of varying colour. A widely used metric of colour difference (ΔS) is based on the Receptor Noise Limited (RNL) model, which was originally proposed to determine when two similar colours appear different from one another, termed the discrimination threshold (or JND, just noticeable difference). Estimates of the perceptual distances between colours that exceed this threshold – termed 'suprathreshold' colour differences – often assumes that a colour's conspicuousness scales linearly with colour distance, and that this scale is independent of direction in colour space. Currently, there is little behavioural evidence to support these assumptions. This study evaluated the relationship between ΔS and conspicuousness in suprathreshold colours using an Ishihara-style test with a coral reef fish, <i>Rhinecanthus aculeatus</i>. As our measure of conspicuousness, we tested whether fish, when presented with two colourful targets, preferred to peck at the one with a greater ΔS from the average distractor colour. We found the relationship between ΔS and conspicuousness followed a sigmoidal function, with high ΔS colours perceived as equally conspicuous. We found that the relationship between ΔS and conspicuousness varied across colour space (i.e. for different hues). The sigmoidal detectability curve was little affected by colour variation in the background or when colour distance was calculated using a model that does not correct for receptor noise. These results suggest that the RNL model may provide accurate estimates for perceptual distance for small suprathreshold distance colours, even in complex viewing environments, but must be used with caution with perceptual distances exceeding 10 ΔS.</span></span></span></span></span></span></span></span></span></span></span></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.