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1,940 results for “data sample”
Wind radial obsevations: sample data
<p>Remote sensing sample data for developing and testing the wind retrievals codes. The prefix indicates the instrument source.</p> <p>Prefix:</p> <p>wc: WindCube 200s lidar</p> <p>rpg: Ka band RPG cloud radar</p>
Raw GC-TOF-MS data from individuals sampled in allopatric zones (see Methods) from Doniol-Valcroze et al.
<p>Raw .MZML data from GC-TOF-MS analysis of Cuticular compounds of the four species of the <em>Coenonympha </em><em>arcania-gardetta</em> hybrid species complex.</p> <p>Samples are labelled with letters as follow: Species_Sex__Extract-type_SampleID. Species: A= <em>C. arcania</em>; G= <em>C. gardetta</em>; D= <em>C. darwiniana</em>; C= <em>C. cephalidarwiniana</em>. Sex: M= male; F= female. Extract type: b= Full body extract; w= Wing extract.</p>
Data for figures of manuscript entitled: "On the Sample Complexity of Quantum Boltzmann Machine Learning"
<p>The zip file contains the data for each of the plots in the figures in the manuscript: "On the Sample Complexity of Quantum Boltzmann Machine Learning." The preprint version of this article can be found on arXiv: https://arxiv.org/abs/2306.14969</p>
Toroidal Data Samples
<p>Several data set on the hypertorus:</p> <ul> <li>alanine tetrapeptide (torsion angles)</li> <li>chignolin (torsion angles)</li> <li>wind direction data</li> <li>samples of a wrapped normal distribution</li> </ul>
Distance sampling visual observation sightings data for cetaceans from Antarctic Tourist vesssels
<p>The following is two summer sampling seasons of distance sampling data collected by trained observer teams of two from Antarctic tourist vessels. The data set contains 5 key dataframes. This data has be cleaned and quality controlled. </p> <p>Effort - details the type of visual observation effort, the observer on effort and other information </p> <p>Environment - details the environmental conditions under which the data were collected. </p> <p>Sightings - details the observations made, and distance estiamtes (relative to the ship) for cetceans. </p> <p>Resightings - used in select cases, see protocols.</p> <p>gpsData - automated collection of location data at 5 sec intervals, some gaps exists, which were interpolated later for analysis</p> <p>Work is ongoing with the dataset, please contact authors about its use. </p>
Genetic datasets, climatic conditions at sampled localities, and occurrence data to: Ice age-driven range shifts of diploids and expanding autotetraploids within a conserved niche (Grünig, Patsiou & Parisod, 2024, New Phytologist)
<div> <h3><strong>This repository includes</strong></h3> - An overview of the raw sequencing reads deposited in the European Nucleotide Archive (ENA) for the 370 individuals sampled in 17 diploid and 19 tetraploid field populations <div>- Scripts used to genotype diploids and autotetraploids samples of <em>Biscutella laevigata</em> from ddRADseq data</div> <div>- Input data (as vcf format) used in population genetic analyses</div> <div>- Scripts used to run the different genetic analyses</div> <div>- Dataset of extracted climatic conditions at sampled localities</div> <div>- Occurrence dataset used for the climatic niche modelling</div> <br> <h3><strong>Description of the data and file structure</strong></h3> <strong>00.ENA_samples_correspondance.txt: </strong>provides ENA project ID, run ID (i.e. raw fastq files), sample ID, and alias for each sample included in the study.<br> <div> </div> <div><strong>1.scripts_reads_to_vcf.zip:</strong> consists of the following:</div> - <strong>1.reads_to_vcf.md: </strong>md file with scripts documenting the read quality check, demultiplexing, mapping, SNP calling using GATK4, and filtering steps<br> <div>- Additional scripts called within <strong>1.reads_to_vcf.md</strong>:</div> <div>-- 1.3. Mapping: <strong>02_run_mapping_XXX.py</strong> and <strong>BWA-mem_bisc1_sg.py</strong> scripts</div> <div>-- 1.4.a. HaplotypeCaller: <strong>03_V1_gvcf.py</strong></div> <div>-- 1.4.b. GDBI + genotypeGVCF: <strong>03_V3_gdbi_genotype_per100scaf.py</strong></div> <br> <div><strong>2.datasets_genetics.tar.gz</strong> consists of the following</div> <br> <div>- <strong>bisc_all370_diminDP15_tetraminDP30.vcf.gz</strong>: "Initial SNPs dataset" = biallelic SNPs fulfilling GATK quality hard filtering recommendations, present in at least 50% of samples. Genotypes with DP<15 for diploids and DP<30 for tetraploids are set to no-call. This vcf was used as basis for fastsimcoal dataset preparation, and as basis for subsequent selection of loci fulfilling requirements of each analysis. It includes 2246701 biallelic SNPs for 370 samples</div> <br> <div>- <strong>bisc_all370_diminDP15_tetraminDP30_MD05_pruned.vcf.gz:</strong> subset of the "Initial SNPs dataset" retaining SNPs called in at least 50% of samples, and pruned for Linkage disequilibrium. This vcf includes 107574 biallelic SNPs for 370 samples and was used in the analysis of the proportion of diploids diagnostic alleles shared by tetraploids.</div> <br> <div>- <strong>bisc_all370_diminDP15_tetraminDP30_MD01_pruned.vcf.gz: </strong>subset of the "Initial SNPs dataset", retaining SNPs called in at least 90% of samples, and pruned for Linkage disequilibrium. This vcf includes 4444 biallelic SNPs for 370 samples and was used in the analyses of Population diversity and differentiation (SpaGeDi, GenoDive, PCA), and f3-statistics.</div> <br> <div>- <strong>bisc_all370_diminDP15_tetraminDP30_MD0.1_pruned_MAC3rm.vcf.gz:</strong> subset of the "Initial SNPs dataset", retaining SNPs called in at least 90% of samples, pruned for Linkage disequilibrium, and with a minor allele count of 3. This vcf includes 2593 biallelic SNPs for 370 samples and was used in STRUCTURE analysis</div> <br><br> <div><strong>3.pres_2x.txt:</strong> list of the 128 diploid occurrences used in climatic niche modelling</div> <br> <div><strong>3.pres_4x_strat_reg.txt:</strong> list of the 924 tetraploid occurrences used in climatic niche modelling</div> <br> <div><strong>biscall_chelsa_ordered_noDEM.txt:</strong> climatic data extracted from the CHELSA dataset at sampled localities</div> <br> <div><strong>4.plot_GTfreqs.md:</strong> markdown file including scripts to plot allele and genotype frequencies</div> <br> <div> </div> <h3><strong>Sharing/Access information</strong></h3> Raw sequencing reads have been deposited in the European Nucleotide Archive (ENA) at EMBL-EBI under the accession number PRJEB48869:<a href="https://www.ebi.ac.uk/ena/browser/view/PRJEB48869"> https://www.ebi.ac.uk/ena/browser/view/PRJEB48869</a></div>
Example 3D Underwater Acoustic Pressure Data Sampled Over 24 Hours
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Sample of input data for RASflow
<p>Sample input files for the execution of RASflow, a workflow for RASopathy analysis using the Swift parallel scripting system. (https://github.com/mmondelli/rasflow)</p>
CT Data of a Pen-Spring: Application to Under-Sampled Dynamic X-ray Tomography
<p>This is the documentation of Computed Tomography (CT) data of a pen-spring. It can be freely used for scientific purposes with appropriate references to the data and to this document in https://arxiv.org/abs/1907.01871. The provided data set includes the X-ray sinograms finalSino of a single 2D slice from a different height of the spring. The finalSino was obtained from a measured 10-projection or 100-projection sinogram using fan-beam geometry<br> by down-sampling and taking logarithms. The data set includes also those original measured sinograms and corresponding measurement matrices.</p>
Model and sample data for MNIST classification
<p>Model and sample data for MNIST classification. The data is used in conjunction with <a href="https://github.com/freitaglab/LightToInformation">https://github.com/freitaglab/LightToInformation</a>.</p>
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7). in An integrative taxonomic revision of the genus Triphosa Stephens, 1829 (Geometridae: Larentiinae) in the Middle East and Central Asia, with description of two new species
APPENDIX. List of sequenced specimens of Triphosa, with identification, Sampling sites collecting data, Accession numbers, and process ID in BOLD database. Data taken from BOLD and generated by Axel Hausmann (1); Bernd Müller (2); Dirk Stadie (3); Iva Mihoci 4); Marco Infusino, Stefano Scalercio (5); Norbert Poell (6); Wanke et al. (7).
Data for replication of figures in "In situ imaging of a kleptoplastidic ciliate thin layer indicates traditional sampling underestimates oceanic mixotroph biomass", Barua et al. Communications Earth & Environment (2024).
<p>This dataset contains the relevant information needed to reproduce data plots in Figures 1-5 and Supplementary Figures 2-3 of the following manuscript.</p> <p><em><strong>In situ imaging of a kleptoplastidic ciliate thin layer indicates traditional sampling underestimates oceanic mixotroph biomass</strong></em></p> <p>Ranjoy Barua, Lisa Nyman, Buyu Guo, Matthew D. Johnson, Anvita U. Kerkar, Jiarong Hong, Adam T. Greer, John Lehrter, Malcolm McFarland, Bradley Penta, Aditya R. Nayak</p> <p>Communications Earth & Environment (2024).</p>
FIGURE 4. Concordia Age plot for sample PCM3Aug14-04. Data have been corrected for 230 in PE Note: Corrigenda to Murphey et al. 2018
FIGURE 4. Concordia Age plot for sample PCM3Aug14-04. Data have been corrected for 230Th disequilibrium.
Names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023
<p>PPR Sample Lake Data.xlsx contains names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023. PPR Sample Lake Fact Sheets.pdf contains fact sheets for every sampled lake including maps and essential lake, catchment, and water chemistry characteristics. </p>
Raman spectral data for ''The evaluation of space weathering effects on lunar samples from a Raman spectroscopic perspective''
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Resampling code with sample data for: Eddy-covariance with slow-response greenhouse gas analyser on tall towers
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Data for the publication "Measurement report: The ice-nucleating activity of lichen sampled in a northern European boreal forest"
<p>This repository contains the data and plotting scripts for the paper:</p> <p>Authors: Ulrike Proske, Michael P. Adams, Grace C. E. Porter, Mark Holden, Jaana Bäck, and Benjamin J. Murray</p> <p>Titel: Measurement report: The ice-nucleating activity of lichen sampled in a northern European boreal forest</p> <p>Date: 2024</p>
Sampled data for varifying the correctness of CHEN-AND (Labeled Dataset for Chinese and English Joint Author Name Disambiguation)
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Research data supporting: "Extended sampling of macromolecular conformations from uniformly distributed points on multidimensional normal mode hyperspheres"
<p>This repository contains protein structures generated by the approach "distributed points Molecular Dynamics using Normal Modes" (dpMDNM). dpMDNM is an enhanced-sampling approach that allows large protein conformational sampling based on normal mode (NM) vector combinations.</p> <p>Input parameter and equilibrated files for Lysozyme and CYP3A4 are provided, including their respective ensemble of structures after conformational exploration combining from 2 to 8 NMs.</p> <p>For more information, please visit the <a href="https://github.com/antonielgomes/dpMDNM">dpMDNM GitHub repository</a>.</p>
Hybrid Model Sample Data
<p>Sample data to illustrate the format in which the hybrid model expects the input and output data for training and inference. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_y2003.tar.gz</a> contains ERA5 data for atmospheric variables for the year 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_sst_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_sst_y2003.tar.gz</a> contains ERA5 sea surface temperature data from 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/era5_precip_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">era5_precip_y2003.tar.gz</a> contains ERA5 precipitation data for 2003. <a href="https://zenodo.org/api/records/14043079/draft/files/toa_isr_y2003.tar.gz/content" target="_blank" rel="noopener noreferrer">toa_isr_y2003.tar.gz</a> contains the top of the atmosphere incident solar radiation data. <a href="https://zenodo.org/api/records/14043079/draft/files/ohtc300.tar.gz/content" target="_blank" rel="noopener noreferrer">ohtc300.tar.gz</a> contains the ORAS5 heat content of the upper 300 m deep ocean. All data sets are regridded to the SPEEDY model grid.</p>
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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.