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9,113 results for “Sampling”
Russian soldier Shashka saber sample 1881
simple model of a Russian shashka saber sample 1881, my second model ever that i took seriously Source: Objaverse 1.0 / Sketchfab
High frequency of X4/DM-tropic viruses in PBMC samples from HIV-1 recently infected blood donors by massively parallel sequencing: the REDS II Study
<p>Here is a sub-library of the <em>env</em> V3 massively parallel sequencing proviral data generated (by Illumina MiSeq platform) during the early phase of HIV-1 infection in a group of first-time blood donors. Only paired-end reads that encompass the complete V3 region from each dataset were extracted, uploaded and considered for the analysis to avoid artificial generation of <em>in silico</em> chimeras through assembly and to evade inflating the diversity estimates of the V3 region</p>
BRAMS Radio Spectrograms and Spectrogram Samples for Automatic Detection of Meteor Echoes
<p>The files in this dataset are based of radio recordings taped by BRAMS (Belgian RAdio Meteor Stations), the Belgian meteor detection network.</p> <p>Included in the dataset are the original BRAMS radio recordings (stored as .wav audio files), the spectrogram data for each radio recording (stored as .csv files) and the meteor and non-meteor samples extracted from the radio spectrograms (stored as .csv files).</p> <p>It should be noted that the the spectrogram data was sampled using a sliding window of size 30x20 pixels and the samples extracted in this manner were further processed by calculating the vertical average of each column in the 30x20 matrixes. The result of this sampling procedure is a set of data vectors containing the average power of the signal found in the original 30x20 spectrogram sample.</p>
Samples and data accessibility in research biobanks
<p>This dataset contains answers at a questionnaire relative to modes of sample and data accessibility in research Biobanks</p>
Sample title
RECAST_request: f85206a0-ec6c-11e5-b53e-46a76a7920fe Requester: Christian Bora ORCID: 0000-0001-7618-844X Request_description: testing upload to aws
Sample title
RECAST_request: ec65abb6-ec6d-11e5-a2d6-76b4c71cdb2b Requester: Christian Bora ORCID: 0000-0001-7618-844X Request_description: testing upload to aws
Sample title
RECAST_request: 144c2b9c-ed21-11e5-92c1-c4850853e4b3 Requester: Christian Bora ORCID: 0000-0001-7618-844X Request_description: aws
CCFs and MCMC samples for Gullikson et al. 2016b
<p>This dataset holds all of the cross-correlation functions (CCFs) generated in Gullikson et al. (2016). (update link when I have it). The CCFs are stored as HDF5 files, and are split into 2 GB chunks such that they can go here on zenodo. You will likely want to combine them all together for each instrument. The filenames have the form 'INSTRUMENT_ccfs_n.h5' where n is an integer.</p> <p> </p> <p>This dataset also holds the MCMC samples for the primary star mass, companion mass, and system age for all of the stars listed in Table 1 of the paper. This is again stored as an HDF5 file. Finally, the dataset contains MCMC samples from the posterior distributions that result from fitting the data to a variety of parametric distributions. They files are generated by the pymultinest code, and the samples can be recovered with the same code (See RealData.ipynb notebook in the github repository for details: https://github.com/kgullikson88/BinaryInference). </p>
Specimen photos of DNA sample MHNG-Hydrozoa-DNA126
<p>Specimen photos of DNA sample MHNG-Hydrozoa-DNA126</p> <p>species medusa of<strong><em> Staurodiscus gotoi </em></strong><strong>(Uchida, 1927) </strong></p>
Sound ontology for the paper “An approach for structuring sound sample libraries using ontology”
<p>This is a supplementary material for a paper titled “An approach for structuring sound sample libraries using ontology” submitted to the Knowledge Engineering and Semantic Web conference (2016). http://2016.kesw.ru/</p>
Specimen photos of DNA sample MHNG-Hydrozoa-DNA1165
<p>Sample data</p> <p>collection locality: Norway, Korsfjord</p> <p>GPS: 60.1846°N 5.196°E</p> <p>collection date: 14.06.2016</p> <p>depth: 0-600 m</p> <p>gear:plankton net, vertical tow</p> <p>number of individuals or colonies: 1</p> <p>preservation: 95 % ethanol</p> <p>figured specimen used for DNA extraction: yes</p> <p>part used for DNA extraction: whole</p> <p>DNA extraction: 10.5281/zenodo.57067</p> <p>voucher specimen deposited: no</p> <p> </p> <p>Sample data</p> <p>Taxonomy</p> <p>Phylum: Cnidaria</p> <p>Class: Hydrozoa</p> <p>Family: Mitrocomidae</p> <p>Species: <em>Cosmetira pilosella</em> (Forbes, 1848)</p> <p>life stage: medusa</p> <p>identified by: P. Schuchert</p> <p>size: 8-10 mm diameter</p>
Sample video of Drosophila interaction. Linked to "Beckwith, Geissmann and Gilestro"
<ol> <li>2016-08-02_08-56-55_057c6ba04e534be486069c3db7b10827__1920x1080@25-interaction</li> <li>2016-08-02_08-56-55_058c6ba04e534be486069c3db7b10827__1920x1080@25-interaction</li> <li>2016-08-02_08-56-56_059c6ba04e534be486069c3db7b10827__1920x1080@25-interaction</li> <li>2016-08-02_08-56-57_060d6ba04e534be486069c3db7b10827__1920x1080@25-interaction</li> </ol> <p> </p> <p>1 -> MF interaction (both <em>D. melanogaster</em>)</p> <p>2-> MM interaction (both <em>D. melanogaster</em>)</p> <p>3-> M <em>ppk23</em><sup>-/-</sup> + F wildtype</p> <p><em>4-> </em>M <em>D.melanogaster</em> + F <em>D.simulans </em></p>
Umbrella sampling data of AuNP interacting with a PC bilayer
<p>Files in Gromacs (v4.6) format used to generate the PMF profile shown in Fig. 3 in [1].</p> <p>The nanoparticle is pulled to the EC leaflet in the 'genstart' simulations. The initial structures for the umbrella sampling windows are extracted from this trajectory. The files obtained from umbrella sampling windows are named 'pullX.*', where X is the distance between the centers of mass of the AuNP and the EC leaflet phosphori. Trajectories (.xtc) are saved every 100ps. Additionally, the initial and final structures (.gro), the run input files (.tpr), energy files (.edr), log files (.log), checkpoint files (.cpt), simulation parameter files (.mdp), and the files generated by the pull code (pull forces and pull distances, .xvg) are given for each umbrella window. Additionally, an index file (index.ndx) and a topology file (topol.top) common for all systems is provided. TOP.tar contains the molecule definitions (.itp). 'pullf-files.dat' and 'tpr-files.dat' are used by g_wham to extract the profile shown in Fig. 3 (except for the choice of the zero level) by 'g_wham -it tpr-files.dat -if pullf-files.dat -b 40000 -nBootstrap 100'</p> <p>[1] Heikkilä et al., Cationic Au Nanoparticle Binding with Plasma Membrane-like Lipid Bilayers: Potential Mechanism for Spontaneous Permeation to Cells Revealed by Atomistic Simulations, J. Phys. Chem. C, 2014, 118 (20), pp 11131–11141, DOI: 10.1021/jp5024026</p>
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Figure 1. - Sample sites of Palaemoncarteri, Palaemonivonicus and Palaemonyuna sp. n. c1–Bragança, Pará; c2–Santa Maria do Pará, Pará; c3–National Forest of Amapá, Amapá; c4–Belém, Pará; i1–Solimões River, near Manaus, Amazonas; i2–Xingu River, Altamira, Pará; i3 and i4–Itacoatiara, Amazonas; AC-Acre; AM-Amazonas; AP-Amapá; MS-Mato Grosso do Sul; MT-Mato Grosso; PA-Pará and RO-Rondônia.
Quasi-periodic Gaussian process rotation period posterior samples of Kepler light curves.
<p>.h5 files containing light curves, hyperparameter priors, period priors and posterior samples for the QP-GP rotation period model in Angus, Morton, Aigrain, Foreman-Mackey & Rajpaul (2017). </p> <p>koi_results_02_15.tgz contains posterior samples for 1132 Kepler objects of interest.</p> <p>results_acfprior_02_16.tgz contains posterior samples for 998 simulated light curves (previously published in Aigrain et al., 2015: https://arxiv.org/abs/1504.04029) with an ACF-based prior.</p> <p>results_noprior_02_16.tgz contains posterior samples for 997 simulated light curves (previously published in Aigrain et al., 2015) with an uninformative prior.</p> <p>To load the samples in python:</p> <p>>>> df = pd.read_hdf("<filename>", key="samples")</p> <p>>>> ln_period_samples = df.ln_period</p> <p>>>> ln_A_samples = df.ln_A</p> <p>>>> ln_l_samples = df.ln_l</p> <p>>>> ln_G_samples = df.ln_G</p> <p>>>> ln_sigma_samples = df.ln_sigma</p> <p> </p>
Quasi-periodic Gaussian process rotation period posterior samples (with an uninformative prior) for 998 simulated Kepler light curves.
<p>997.h5 files containing light curves, hyperparameter priors, period priors and posterior samples for the QP-GP rotation period model in Angus, Morton, Aigrain, Foreman-Mackey & Rajpaul (2017).</p> <p>997 .png light curve images.</p> <p>To load the samples in python:</p> <p>>>> df = pd.read_hdf("1.h5", key="samples")</p> <p>>>> ln_period_samples = df.ln_period</p> <p>>>> ln_A_samples = df.ln_A</p> <p>>>> ln_l_samples = df.ln_l</p> <p>>>> ln_G_samples = df.ln_G</p> <p>>>> ln_sigma_samples = df.ln_sigma</p> <p> </p>
Quasi-periodic Gaussian process rotation period posterior samples (with an ACF prior) for 998 simulated Kepler light curves.
<p>998.h5 files containing light curves, hyperparameter priors, period priors and posterior samples for the QP-GP rotation period model in Angus, Morton, Aigrain, Foreman-Mackey & Rajpaul (2017).</p> <p>998 .png light curve images.</p> <p>To load the samples in python:</p> <p>>>> df = pd.read_hdf("1.h5", key="samples")</p> <p>>>> ln_period_samples = df.ln_period</p> <p>>>> ln_A_samples = df.ln_A</p> <p>>>> ln_l_samples = df.ln_l</p> <p>>>> ln_G_samples = df.ln_G</p> <p>>>> ln_sigma_samples = df.ln_sigma</p>
CPBI_seqdb_demo sample QFO sequence library
<p>A medium-sized (approx 1 million entry) protein sequence database constructed from the NCBI 'nr' (Jan, 2017) database selecting Uniprot (SwissProt), RefSeq, and PDB entries for 66 species (taxon_id's) from the Quest for Orthologs organism set. These files are designed to be used in conjunction with scripts and SQL files to construct the seqdb_demo database, as described in a Current Protocols in Bioinformatics Unit 3.9 revised Spring, 2017. The files are:</p> <p>qfo_demo.gz - a fasta-format sequence library with the curren NR Defline format (gzip compressed)</p> <p>qfo_prot.accession2taxonid.gz, qfo_pdb.accession2taxid.gz- tables that map accessions to taxon_id's and gi-numbers, similar to that available in the NCBI pub/taxonomy/accession2taxid/prot.accession2taxid and pdb.accession2taxid files (gzip compressed).</p>
Sample calculation using protein APR
<p>Sample calculation using the protein attach-pull-release (APR) method on the BZT-7 ligand to the BRD4 first bromodomain, with the SPC/E water model. Instructions for the automatic creation of the system are included in the automated.bash script in the ./Base-SPC/ folder, and the ./BZT-7-SPC/ folder contains the sample calculation. To obtain the binding free energies from the simulations using MBAR, instructions can be found in the ./Base-SPC/analysis/get-results.bash script. </p>
Specimen photos of DNA sample MHNG Hydrozoa DNAX13
<p><strong>DNA sample number: Hydrozoa </strong><strong>DNAX13</strong></p> <p><strong>Phylum: Cnidaria</strong></p> <p><strong>Class: Hydrozoa</strong></p> <p><strong>Family: Hydridae </strong></p> <p><strong>Species: <em>Hydra vulgaris </em>Pallas, 1766 </strong></p> <p><strong>life stage: polyp</strong></p> <p><strong>identified by: P. Schuchert</strong></p> <p><strong>collection locality: Switzerland, Lac de Neuchâtel, Gletterens</strong></p> <p><strong>GPS: 46.905161 06.9294</strong></p> <p><strong>collection date: 17.07.2013</strong></p> <p><strong>depth: 0</strong></p> <p><strong>gear: hand</strong></p> <p><strong>number of individuals or colonies: 1</strong></p> <p><strong>subsequent preservation: 95 % ethanol</strong></p> <p><strong>figured specimen used for DNA extraction: yes</strong></p> <p><strong>part used for DNA extraction: whole animal</strong></p> <p><strong>voucher specimen deposited: no</strong></p> <p><strong>comments: infertile, substrate <em>Myriophyllum</em> sp.</strong></p> <p> </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.