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1,940 results for “data sample”
Fig. 1 in Using abundance data to assess the relative role of sampling biases and evolutionary radiations in Upper Muschelkalk ammonoids
Fig. 1. Chart of stratigraphic interval names and durations for the Muschelkalk of the Germanic Basin with ammonoid immigration events marked (simplified from Klug et al. 2005: fig. 1).
TELL sample forcing data
<p>This dataset contains sample data forcing data for the Total Electricity Loads (TELL) model developed by the IM3 project. More information about the TELL model can be found at: https://immm-sfa.github.io/tell/user_guide.html.</p> <p>The sample dataset includes five years of historical weather data (2015-2019) and four years of sample future data (2039, 2059, 2079, and 2099). The 2015-2019 data is based on historical meteorology simulated by WRF. In contrast, the sample future data comes from IM3's future WRF runs under the RCP 8.5 climate scenario with SSP5 population forcing. The weather data was generated by the sequence of processing scripts that convert the meteorology from IM3's climate simulations using the Weather Research and Forecasting (WRF) model into input files ready for use in TELL. The first step in the processing chain spatially averages the gridded meteorology output from WRF into county mean values. The output of that processing step is a series of .csv files (one for every hour processed) with the county-mean value of six meteorological variables: T2, Q2, U10, V10, SWDOWN, and GLW. The second step then takes these county-level hourly values and population-weights them into an annual time-series for each of the balancing authorities (BAs) used in the TELL model. The code used to generate this sample weather data and more information about the wrf_to_tell processing pipeline can be found at: https://github.com/IMMM-SFA/im3components.</p> <p>The dataset also contains a sample output file from the United States version of the Global Change Analysis Model (GCAM-USA) and two future county-level population projections that can be used in the TELL quickstarter notebook.</p>
Platypus eDNA and habitat data and yearly samples
<p>Data relating to presence and absence of platypus eDNA and habitat variables collected for each site as well as the years sampled. This data is part of a long term prgoram with local south-east Queensland Councils. Contact individual councils for data sets. </p>
Sample data for "Classification Modeling for Hazardous Rip Current Prediction" Notebook
<p>This sample dataset is used in the notebook "Classification Modeling for Hazardous Rip Current Prediction" to demonstrate the application of using machine learning to identify hazardous rip current. The notebook is available in the NOAA Center for Artificial Intelligence GitHub Learning Journey repository (https://github.com/noaa-ncai/learning-journey). The full dataset is available via NOAA.</p>
Sample data connected to Barth et al "SMC motor proteins extrude DNA asymmetrically and can switch directions"
<p>Sample data connected to Barth et al "SMC motor proteins extrude DNA asymmetrically and can switch directions"</p>
Data of "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion"
<div> </div> <div> <pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Effect of sample dimensions on the stiffness of PA12 Lattice materials fabricated using Powder Bed Fusion", journal = "Additive Manufacturing", pages = " ", year = "2024", issn = "", doi = "https://doi.org/10.1016/j.addma.2024.104382", author = "L. Cobian, E. Maire, J. Adrien, U. Freitas, J.P. Fernandez-Blazquez, M.A. Monclus, J. Segurado"</pre> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 862015</p> </div>
Data for: Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids
<p>Data for: "Tip of the Red Giant Branch Distances with JWST. II. I−band Measurements in a Sample of Hosts of 10 SN Ia Match HST Cepheids". The photometry provided is after DOLPHOT quality cuts, foreground extinction corrections, and spatial cuts.</p>
Data of soil infiltration tests and soil samples, Los Arenales MAR Systems, Santiuste and La Laguna del Señor infiltration basins
<p><span>Infiltration test and soil sample data utilised in the article "a nature-based solution to enhance aquifer recharge: combining trees and infiltration basins"</span></p>
Occupant Simulation Data based on Honda Accord 2024 Simplified Passenger Model and Full-factorial Sampling with 243 samples and VIRTHUMAN 5, 50, 95 Percentiles
<p>Database with 729 Honda Accord 2014 passenger occupant simulations featuring VIRTHUMAN. </p>
Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure: Data
<p>Data and codebook for experiment described in publication titled Rivals Reloaded - Adapting to Sample-Based Speed–Accuracy Trade-Offs Through Competitive Pressure published in Journal of Experimental Psychology: Learning, Memory, and Cognition authored by Linda McCaughey, Johannes Prager and Klaus Fiedler </p>
Laboratory data of measurements conducted on an n-decane saturated limestone sample using the forced-oscillation method
<p>This supporting information provides the numerical results of the laboratory experiments conducted on an n-decane saturated limestone sample with varying dead fluid volume. The supporting information includes: (1) the extensional attenuation, Poisson ratio, elastic moduli and strains in the rock measured at 0.1 Hz with the dead volume varying from 2 ml to 260 ml and also with the open fluid line, and (2) the frequency dependences of the attenuation, elastic moduli, Poisson ratio and strains obtained in the frequency range from 0.1 Hz to 120 Hz.</p>
Data and code for 'Food insecurity and patterns of dietary intake in a sample of UK adults'
<p>Data and code for ' <strong>Food insecurity and patterns of dietary intake in a sample of UK adults</strong>' by Shinwell et al.</p> <p>For the UK data, the script 'analysis UK dataset.r' is required along with the csv data file.</p> <p>For the NHANES data analyses, the user needs to:</p> <p>a) Download the required 2013-4 NHANES data files as described at https://zenodo.org/record/3361283</p> <p>b) Run the script 'merging.script.r' from https://zenodo.org/record/3361283</p> <p>c) Using the resulting .csv file in conjunction with the script 'analysis NHANES dataset.r' to reproduce the analyses in the paper.</p> <p>The reason for doing it this indirect way is that the raw NHANES data are not ours to share.</p>
Data and software associated with the paper "Bayesian Inference of Joint Coalescence Times of Sampled Sequences"
<p>1. Data files and run logs produced for the paper "Bayesian Inference of Joint Coalescence Times of Sampled Sequences".</p> <p>2. Software script versions used in the above.</p>
Data from: Phylogenetic sampling affects evolutionary patterns of morphological disparity
<p>Cladistic character matrices are routinely repurposed in analyses of morphological disparity. Unfortunately, the sampling of taxa and characters within such datasets reflects their intended application - to resolve phylogeny, rather than distinguish between phenotypes - resulting in tree shapes that often misrepresent broader taxonomic and morphological diversity. Here we use tree shape as a proxy to explore how sampling can affect perceptions of evolving morphological disparity. Through analyses of simulated and empirical data, we demonstrate that sampling can introduce biases in trait space occupation between clades that are predicted by differences in tree symmetry and branch length distribution. Symmetrical trees with relatively long internal branches predict more expansive patterns of trait space occupation. Conversely, asymmetrical trees with relatively short internal branches predict more compact distributions. Additionally, we find that long external branches predict greater phenotypic divergence by peripheral morphotypes. Taken together, our results caution against the uncritical repurposing of cladistic datasets in disparity analyses. However, they also demonstrate that when morphological diversity is proportionately sampled, differences in tree shape between clades can speak to genuine differences in morphospace occupation. While cladistic datasets may serve as a useful starting point, disparity datasets must attempt to achieve uniformity of lineage sampling across time and topology. Only when all potential sources of bias are accounted for can genuine evolutionary phenomena be distinguished from artefactual signals. It must be accepted that the non-uniformity of the fossil record may preclude representative sampling and, therefore, a faithful characterization of the evolution of morphological disparity.</p>
Data for: PickMe: sample selection for species tree reconstruction using coalescent weighted quartets
<p>After collecting large data sets of many genes for many species for phylogenomics studies, researchers may make ad hoc decisions about which genes or samples to include in a species tree reconstruction analysis based on various parameters, including the amount of missing data. Optimally, sampling would be maximized, but it can be difficult for empiricists to determine where to draw the line for sample inclusion when data sets are incomplete. Under the multispecies coalescent model, in which the dominant quartet topology displayed across gene trees matches the topology of that quartet on the species tree, we propose a Bayesian framework to select samples for which there is support for inclusion in a species tree analysis. Given a collection of gene trees, a posterior probability is assigned to each quartet topology, describing the likelihood that the species tree displays this topology. From this, individual samples are assigned reliability scores computed as the average of a rescaling of the posterior probabilities. These weights are used in a Bayesian framework in an algorithm called PickM}, which determines which individuals should be included in a species tree analysis. To illustrate the efficacy of this tool, PickMe is applied to gene trees generated from target capture data from milkweeds. PickMe indicates that more samples could have reliably been included in a previous milkweed phylogenomic analysis than the authors analyzed, without access to a formal decision-making procedure. Thus, PickMe will be a valuable addition to data analysis pipelines for phylogenomics studies.</p>
Proteomic data (LC-MS/MS) of human plasma samples
<p>LC-MS/MS analysis of 8 different samples of plasma: 4 samples correspond to the activated platelet-rich plasma (PRP) fractions from 4 different patients with infertility due to Asherman's syndrome and/or endometrial atrophy; 2 samples correspond to the activated and not-activated, respectively, PRP fractions from a control fertile patient; 2 samples correspond to the activated and not-activated, respectively, fractions from a commercial umbilical cord plasma.</p>
Fig. 24 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 24. Tlacuatzin canescens, photographed by Gerardo Ceballos in March 1995 at the ChamelaCuixmala Biosphere Reserve, Jalisco, Mexico. Specimens from southern populations (especially topotypical material from Oaxaca) are markedly grayer than this individual.
Fig. 12 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 12. Bivariate comparison of two dental proportions discussed in the text, with illustrated examples of contrasting morphologies. Closed curves delimit sets of taxa assigned to alternative states of character 57. Taxon labels: 1, Caluromys lanatus; 2, Caluromys philander; 3, Caluromysiops irrupta; 4, Chironectes minimus; 5, Didelphis albiventris; 6, Didelphis marsupialis; 7, Didelphis virginiana; 8, Glironia venusta; 9, Gracilinanus microtarsus; 10, Lestodelphys halli; 11, Lutreolina crassicaudata; 12, Marmosa canescens; 13, Marmosa lepida; 14, Marmosa mexicana; 15, Marmosa murina; 16, Marmosa robinsoni; 17, Marmosa rubra; 18, Marmosops impavidus; 19, Marmosops incanus; 20, Marmosops noctivagus; 21, Marmosops parvidens; 22, Marmosops pinheiroi; 23, Metachirus nudicaudatus; 24, Micoureus demerarae; 25, Micoureus paraguayanus; 26, Micoureus regina; 27, Monodelphis adusta; 28, Monodelphis brevicaudata; 29, Monodelphis emiliae; 30, Monodelphis theresa; 31, Philander frenata; 32, Philander mcilhennyi; 33, Philander opossum; 34, Thylamys pallidior; 35, Thylamys venustus. Other labels: MC, metacrista; PC, postprotocrista.
Fig. 20 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 20. Strict consensus of 18 maximumlikelihood trees under the bestfit model of IRBP sequence evolution, rooted to be consistent with our assumption of ingroup (didelphine) monophyly (see text). Bootstrap support values are shown below each branch. Outgroup taxa are indicated with asterisks.
Fig. 9 in Phylogenetic Studies On Didelphid Marsupials Ii. Nonmolecular Data And New Irbp Sequences: Separate And Combined Analyses Of Didelphine Relationships With Denser Taxon Sampling
Fig. 9. Oblique ventrolateral view of left ear region in Marmosops impavidus (A, MUSM 13284) and Philander mcilhennyi (B, MUSM 13299) illustrating taxonomic differences in ectotympanic suspension. Whereas the ectotympanic (ect) is suspended from the skull by attachments both to the petrosal (pet) and to the malleus (mal) in Marmosops, the ectotympanic of Philander is suspended only from the malleus (there is no attachment to the petrosal). Other abbreviations: als, alisphenoid; pro, promontorium; rtp, rostral tympanic process (of petrosal); sq, squamosal.
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.