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1,773 results for “Supplementary data,”
MMGC: supplementary data files
<p>Additional data files to facilitate reproduction of the MMGC paper pipelines and figures.</p> <p> </p> <p> </p>
Supplementary files for Crane et al., "On a wing and a prayer": R Code, data and figures
<p>Datasets, R code and figures pertaining to the manuscript: Crane M, Silva I, Grainger MJ, & Gale GA.<em> On a wing and a prayer: limitations and gaps in global bat wing morphology trait data</em></p>
Supplementary data: What millimeter-wavelength radar reflectivity reveals about snowfall: An information-centric analysis
<p>This dataset includes supplementary data used in the analyses described in Wood, N. B., and T. S. L'Ecuyer, 2020: What millimeter-wavelength radar reflectivity reveals about snowfall: An information-centric analysis. Atmospheric Measurement Techniques, doi:10.5194/amt-2020-216.</p>
Supplementary data for calcium-vesicles perform active diffusion in the sea urchin embryo during larval biomineralization
<p><strong>Supplementary datasets for the paper Calcium-vesicles perform active diffusion in the sea urchin embryo during larval biomineralization.</strong></p> <p>Two deskewed and deconvolved lattice light-sheet datasets (100 frames each) from the live-cell experiments are available, a control embryo dataset (01-07-2016_TimeLapse4_DMSO_21hrs_Calcein_FM464) and a VEGFR inhibited dataset (24-06-2016_Timelapse1_Axtinib_150_19hrs_Calcein_FM464). These datasets were used for collecting size and motion statistics. The control embryo dataset is available in raw microscope output without deskew or deconvolution applied (Raw_01-07-2016_TimeLapse4_DMSO_21hrs_Calcein_FM464).</p> <p>Four confocal datasets from the cytoskeletal remodeling experiments are also included, phalloidin stained images, control (Phalloidin PMC DMSO 5 zoom4s) and VEGFR inhibited (Phalloidin PMC Axt 18 zoom4); and myosinIIP stained images, control (Myosin PMC 30h DMSO new slid 4a zoom4) and VEGFR inhibited (Phalloidin PMC Axt 18 zoom4).</p> <p>Source code and instructions for the analysis tools used for both the lattice light-sheet and confocal data is available at: <a href="https://git-bioimage.coe.drexel.edu/opensource/llsm-calcium-vesicles-lever">https://git-bioimage.coe.drexel.edu/opensource/llsm-calcium-vesicles-lever</a></p> <p>Code for the deconvolution and deskew algorithms is available from the Janelia research center at: <a href="https://www.janelia.org/open-science/lattice-light-deconvolution-software-cudadeconv">https://www.janelia.org/open-science/lattice-light-deconvolution-software-cudadeconv</a></p> <p> </p> <p> </p>
Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab
<p>Indonesia Regional Dataset - Data supplementary material for published papers of the QuaRCS lab</p>
Supplementary Data for: ONT-based draft genome for Alternaria atra
<p>Species of <em>Alternaria</em> (phylum <em>Ascomycota</em>, family <em>Pleosporaceae</em>) are known as serious plant pathogens, causing major losses on a wide range of crops. <em>Alternaria atra</em><em> (Preuss) Woudenb. & Crous </em>(previously known as <em>Ulocladium atrum</em><em>) </em>can grow as a saprophyte on many hosts and causes<em> </em>Ulocladium blight on potato. It has been reported that it can also be used as a biocontrol agent against a.o. <em>Botrytis cinerea.</em></p> <p>Here we present a scaffold-level reference genome assembly for<em> A. atra.</em> The assembly contains 43 scaffolds with a total length of 39.62 Mbp, with scaffold N50 of 3,893,166 bp , L50 of 4 and the longest 10 scaffolds containing 89.9% of the assembled data. RNA Seq-guided, gene prediction using BRAKER resulted in 12,173 protein-coding genes with their functional annotation.</p>
Supplementary Data -A STUDY ON SOME STRUCTURAL FEATURES RESPONSIBLE FOR SARS-COV-2 INFECTION FATALITY
<p>A correlation between hydrodynamic properties like radius of gyration ( Rg ) vs Molecular weight of spike protein of SARS - COV-2 biopolymers .</p>
Output reports and supplementary data for MTB workflow
<p>The archive contains the following data:</p> <ul> <li>Output of the workflow on all validation samples (tabular summaries and full HTML reports).</li> <li>Database with AMR regions and mutations.</li> </ul> <p> </p>
Supplementary Data: "Dark matter, fine-tuning and mu(g-2) in the pMSSM" (arxiv 2104.03245)
<p>The data consists of the output files of all the runs that were done. The files are organized in iterations, according to the iteration they were produced in. The map name within one iteration is labeled by the "Barbieri-Giudice fine-tuning measure"_"Electroweak fine-tuning measure"_"time stamp". </p> <p>The files that are contained include:</p> <ul> <li> <p>spheno_in.dat, spheno_out.dat, feynhiggs14.dat, slhafile.dat, slhafileGUT.dat, susyhit.dat: in and outputs of the spectrum generators that were used. The slhafile.dat is obtained from softsusy with inputs defined at the SUSY scale, fed to FeynHiggs (produces the feynhiggs14.dat file) and then fed to SUSYHIT to produce susyhit.dat. The slhafileGUT.dat is the same spectrum but the input parameters are run to the GUT scale (defined by the scale where the unification of the coupling constants happens).The susyhit.dat file is used as input for prospino, micromegas, SUSY-AI, the fine-tuning calculation, superiso, gm2calc and ddcalc. The spheno files are used to cross-check our spectra, but not used in the results of the paper;</p> </li> <li> <p>DDcalcv2.out: output of the DDcalc program;</p> </li> <li> <p>Micromegas5_2_1.out, micro.out: micromegas output (version 5.2.1 and version 5.0.8);</p> </li> <li> <p>Prospino.dat: output containing the cross sections for chi1pm chi1pm, chi1pm, neu2, and slepton slepton production;</p> </li> <li> <p>SUSY_AI.dat: output from SUSY-AI;</p> </li> <li> <p>ft_contri.dat: electro-weak fine-tuning calculation, contains the number and the source of the dominant contribution;</p> </li> <li> <p>gm2_out.dat: output of GM2Calc;</p> </li> <li> <p>output_superiso, output_superiso_true: command-line output (output_superiso_true) and the slha-file (output_superiso).</p> </li> </ul> <p> </p> <p>The data used in our plots is stored in a CSV file (datagm2_right_omegah2_only.csv). This contains all the files that have the right omegah^2. </p> <p>This contains:</p> <ul> <li>dir_name: name of saving directory;</li> <li>bsmumu_spheno,btaunu_spheno,bsgamma_spheno,gm2_spheno: calculations done by Spheno of Br(b_s -> mu+ mu-), Br(b->tau nu), Br(b->s \gamma), g-2_mu;</li> <li>flag_prospino.dat_valid,flag_gm2_out.dat_valid,flag_ft_contri.out_valid,flag_DDcalcv2.out_valid,flag_susyhit.dat_valid,flag_spheno_out.dat_valid,flag_micromegas5_2_1.out_valid,flag_output_superiso_true_valid,flag_SUSY_AI.dat_valid: flags to check whether the files were present in the output;</li> <li>flag_LSP: flag to check whether the LSP is the neutralino;</li> <li>sigmachan_5,sigmaSIn_5,sigmaSIp_5,sigmaSDn_5,sigmaSDp_5,sigmav_5,omegachan_5,sigmacontri_5,omegacontri_5,omegah_mic5,omega_chan_label,sigma_chan_label: micromegas 5.2.1 output of the dominant annihilation channel for sigmav, sigmaSIn, sigmaSIp, sigmaSDn, sigmaSDp, sigmav, dominant annihilation channel for omegah^2, contribution of the dominant annihilation channel for sigmav, contribution of the dominant annihilation channel for omegah^2, omegah^2, label for omegah dominant annihilation channel (used for plotting), label for sigmav dominant annihilation channel (used for plotting);</li> <li>pval_DarkSide,pval_XENON,pval_PICO,pval_CRESST: p-values for DarkSide, XENON, PICO, CRESST;</li> <li>gm2_mic5,dmunu_mic5,bsgnlo_mic5,dtaunu_mic5,bsmumu_mic5,btaunu_mic5: output of micromegas 5.2.1 for g-2, D->munu, b->s gamma, D->tau nu, B_s -> mu mu, B->tau nu;</li> <li>zdec_neutralinos_5: output of micromegas 5.2.1 for branching fraction of the invisible decay of the Z boson to neutralinos;</li> <li>dtaunu_iso,bsmumu_iso,btaunu_iso,bsmumuuntag_iso,bsgamma_iso,dmunu_iso,gm2_iso: the low-energy observables as calculated by SuperIso;</li> <li>susyaistopexcl,susyai8pval,susyaistoppval,susyaiewexcl,susyai13excl,susyaiewpval,susyai8excl,susyai13pval: p-values for the SUSY-AI exclusions;</li> <li>n12,n13,n11,n23,n14,n24,n31,n32,n21,n34,n22,n33,n41,n43,u11,u12,v22,v21,u21,v12,u22,n44,n42,v11: neutralino (n) and chargino (u,v) components of the mixing matrices;</li> <li>alpha_higgs: higgs mixing angle;</li> <li>mgluino,md2,mu1,md1,mu2,mc2,mc1,msneutrinotau,mH,mstop2,msbottom2,msbottom1,mstop1,mslepton1,mHpm,mDM,mn2,mn3,mn4,mstau1,mstau2,,msneutrinoe,mA0,mslepton2: masses of the pMSSM spectrum;</li> <li>MeL,M2,AB,M1,M3,MeR,Mq3L,MuR,MuL,SUSYSCALE,AT,MdR,ATAU,MbR,Ml3R,MA,MtR,tanb,mu,Ml3L: input parameters of the pMSSM spectrum;</li> <li>mhiggsFeyn: mass of the SM-like higgs boson as computed by FeynHiggs;</li> <li>FTEW: value for electro-weak fine-tuning;</li> <li>PandaX (2017),DarkSide 50,omegah_ddcalc,XENON1T (2018),DarkSide 20k,DARWIN,LZ,PICO-500,PICO-60 (2017): p-value outputs of DDcalc;</li> <li>gm2calc,gm2calc_unc: GM2Calc calculation for g-2 and the uncertainty;</li> <li>xsec_lRlR,xsec_c1pn2,xsec_lLlL,xsec_c1c1,xsec_c1mn2,xsec_stau1stau1: cross sections for slepton_R sleptonR, slepton_L, slepton_L, chi1pm chi1mp, chi1pm neu2, stau_1 stau_1;</li> <li>excl: number to determine whether the channel is excluded and for what reason (> 0.5 = excluded, < 0.5 = not excluded, 0.4 = sensitive to PICO-500, 0.26 = sensitive to LZ, 0.13 = sensitive to Darwin, 0.0 = not sensitive to any proposed DMDD future experiment). </li> </ul> <p> </p> <p> </p>
Supplementary data for a study of Open Access Article Processing Charges - 2014
<p>Article Processing Charges levied by a set of Gold Open Access journals and hybrid journals in 2014, as collected from the publishers' web sites. Supplementary data to 10.2314/CERN/C26P.W9DT</p>
Supplementary simulated data for Cappa et al. (2015)
<p>Datasets used in simulation exercise.</p> <p>6 dataset are simulated under each of 3^3 = 27 scenarios with different values of competition variance, spatial range of autocorrelation and correlation between direct and competition breeding values.</p>
Supplementary underlying data for "Evaluating parameterization protocols for hydration free energy calculations with the AMOEBA polarizable force field"
<p>This dataset includes additional underlying data for the publication "Evaluating parameterization protocols for hydration free energy calculations with the AMOEBA polarizable force field"</p> <p>Contents:</p> <p>Tukey Honest Significant Difference (HSD) results for solutes 1-47 across all seven parameter sets, as *.txt. These are pairwise comparisons of results between all possible parameter sets. Significant differences are treated as p < 0.05.</p>
Supplementary material 1: Accumulation Curve Data from: DNA Barcoding of the parasitoid wasp subfamily Doryctinae (Hymenoptera: Braconidae) from Chamela, Mexico - Biodiversity Data Journal 3: e5109 (18 May 2015) https://doi.org/10.3897/BDJ.3.e5109
Table containing the Process ID of specimens sampled and Barcode Index Number (BIN) used for the species accumulation curve.
Supplementary material 5: Bombus spp trapped in Palmer Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1040 specimens of fourteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 3: Bombus spp trapped in Fairbanks Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,131 specimens of fifteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 2: Bombus spp trapped in Delta Junction Alaska, 2010 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
1812 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 1: Bombus spp trapped in Delta Junction Alaska, 2009 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
2,446 specimens of sixteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 4: Bombus spp trapped in Fairbanks Alaska, 2010 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
57 specimens of seven species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 6: Bombus spp trapped in Palmer Alaska, 2010 from: Bumble Bees (Hymenoptera: Apidae: Bombus spp.) of Interior Alaska: Species Composition, Distribution, Seasonal Biology, and Parasites - Biodiversity Data Journal 3: e5085 (08 May 2015) https://doi.org/10.3897/BDJ.3.e5085
764 specimens of fourteen species trapped using Blue Vane pollinator traps with counts of queens, workers, and males by date.
Supplementary material 12: Collector dashboard: specimens collected by Y. M. Marusik from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Dashboard charts showing only specimens collected by Y. M. Marusik. This page shows data from species-rank treatments. When viewed using a browser (such as Google Chrome) with an internet connection, this page sends a series of queries to Plazi and integrates the results with the Google Charts API to produce 37 interactive dashboard charts.
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.