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10,119 results for “IT Support”
Visualization of Dissolution-Precipitation Processes in Lithium-Sulfur Batteries: Supporting Data
<ul> <li>Contours_1.gif: 0 mA/g - pristine state</li> <li>Contours_2.gif: 30 mA/g</li> <li>Contours_3.gif: 80 mA/g</li> <li>Contours_4.gif: 130 mA/g</li> <li>Contours_5.gif: 180 mA/g</li> <li>Contours_6.gif: 230 mA/g</li> <li>Contours_7.gif: 330 mA/g - no remaining solid sulphur</li> </ul>
Values and attitudes associated with public support for biodiversity and ecosystem services as goals of ecological restoration
<p>Source data and metadata for "Public support for restoration: Does including ecosystem services as a goal engage a different set of values and attitudes than biodiversity protection alone?", accepted to PLOS One in December 2020. </p>
Supporting data for Novel functional sequences uncovered through a bovine multi-assembly graph
<p><strong>Description of the datasets</strong></p> <p>Data are organized as a folder and compressed with tar.gz.</p> <p>You need to unzip the folder using the command <em>tar -xz</em><em>v</em><em>f</em> data.tar.gz. Unzipping will output a folder named <em>data_tidy</em>, which is organized as follow:</p> <ul> <li>graph.gfa : Graph in GFA format constructed from 6 cattle assemblies</li> <li>nonref.fa : Non-reference sequences extracted from the graph</li> <li>nonref.fa.masked: Hard masked repetitive regions version of nonref.fa</li> <li>nonref_woflanking.fa: Nonref.fa without flanking sequences</li> <li>nonref_woflanking.fa.masked: Masked version of nonref_woflanking.fa</li> <li>augustus_predict.gtf: Annotated gene models of Augustus from non-ref sequences</li> <li>augustus_prot.fa: Protein fasta of the predicted gene models from Augustus</li> <li>breeds_assembled.gtf: Annotation of the StringTie assembled across-breed transcriptome</li> <li>breeds_expressed.tsv: Expression data of breeds_assembled.gtf</li> <li>de_assembled.gtf: Annotation of the StringTie assembled differentially-expressed transcriptome on non-ref sequences</li> <li>de_expression.tsv: Differential expression results from de_assembled.gtf</li> <li>variant_nonref.tsv: Variants called from non-ref sequences (-1, 0, 1, 2 indicates no call, hom ref, het, and hom alt respectively)</li> </ul>
Political Claims Analysis: Support and Opposition to Migration in Portugal
<p>Claims analysis of newspapers in Portugal, 1995-2014. Random sample of days, all articles on immigration and integration. This is a faithful replication of the methodology of the SOM project (http://www.som-project.eu) For the codebook, see Berkhout, Joost and Sudulich, Maria Laura, Codebook for Political Claims Analysis (2011). SOM Working Paper No. 2011-02. Available at SSRN: http://ssrn.com/abstract=1990221.</p>
Supporting material for 'Eighty-six EU policy options for reducing imported deforestation'
<p>This dataset constitutes supporting material to the publication 'Eighty-six EU policy options for reducing imported deforestation', forthcoming in the journal One Earth. Contained in this dataset are the 1,141 original policy proposals that are identified in grey literature and a European Commission (EC) public consultation, as well as the assessment of the political feasibility of each of the 86 summary policy options derived from the original proposals. Political feasibility is assessed across three determinants: (1) ‘advocacy’, which measure the support for a policy across different actors; (2) ‘institutional setting’, which captures the institutional complexity of defining and adopting a given policy; and (3) ‘costs’, which express the magnitude and distribution of societal costs resulting from policy implementation.</p>
Experiment data in support of "Segmentation analysis and the recovery of queuing parameters via the Wasserstein distance: a study of administrative data for patients with chronic obstructive pulmonary disease"
<p>This archive contains a ZIP archive, `data.zip`, that itself contains the data used in the final sections of the paper. The remainder of the paper's supporting files are available at <a href="https://github.com/daffidwilde/copd-paper/">github.com/daffidwilde/copd-paper/</a></p> <p>The ZIP archive is structured as follows:</p> <ul> <li>There is a directory, `wasserstein`, for the parameter sweep described in the model construction section of the paper. Its contents are: (i) a file, `main.csv`, describing each parameter and their maximal Wasserstein distance to the observed data, and (ii) three directories, `best`, `median` and `worst`, each containing the simulated queuing results (in `main.csv`) from that sweep with the best, median and worst found parameter sets, respectively (in `params.txt`).</li> <li>The remaining three directories correspond to the experiments conducted in the final section of the paper. Each directory contains two files: (i) `system_times.csv` which holds trial parameters and system time records for every patient to pass through the model in that experiment, and (ii) `utilisations.csv` which holds trial parameters and utilisations for each server in the model for that experiment.</li> </ul>
Experimental data in support of manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textile composites through multiscale wave and finite element modelling'
<p>This data set contains the ultrasonic guided wave signals (signal amplitudes as a function of time for different sensors) that were generated and recorded using the transducers and controlling instrument in support of the manuscript entitled 'A homogenisation scheme for Lamb ultrasound wave dispersion in textile composites through multiscale wave and finite element modelling'. The controlling software was programmed in MATLAB and that the attached files are in accordance to the .mat file format.</p> <p>The file names follow the notation described below with an example:</p> <p>S1_10kHz_2cyc (illustrated with an example): S1 represents the number of sensors; 10kHz represents the exciting frequency; 2cyc represents the cycle number of input waveform.</p> <p>Details on the experiment setup are provided within an extra file ('Readme' file).</p>
Research data supporting "4D Electron Tomography of Dislocations Undergoing Electron Irradiation"
<p>All TEM micrographs and electron diffraction patterns for tomography</p>
Research data supporting for Application of electron tomography of dislocations in beam-sensitive quartz to the determination of strain components
<p>This archives contains all the raw data (micrographs) supporting the publication</p>
Data from: Genomic data reveal deep genetic structure but no support for current taxonomic designation in a grasshopper species complex
<p>Taxonomy has traditionally relied on morphological and ecological traits to interpret and classify biological diversity. Over the last decade, technological advances and conceptual developments in the field of molecular ecology and systematics have eased the generation of genomic data and changed the paradigm of biodiversity analysis. Here we illustrate how traditional taxonomy has led to species designations that are supported neither by high throughput sequencing data nor by the quantitative integration of genomic information with other sources of evidence. Specifically, we focus on <em>Omocestus antigai </em>and<em> O. navasi</em>, two montane grasshoppers from the Pyrenean region that were originally described based on quantitative phenotypic differences and distinct habitat associations (alpine vs. Mediterranean-montane habitats). To validate current taxonomic designations, test species boundaries, and understand the factors that have contributed to genetic divergence, we obtained phenotypic (geometric morphometrics) and genome-wide SNP data (ddRADSeq) from populations covering the entire known distribution of the two taxa. Coalescent-based phylogenetic reconstructions, integrative Bayesian model-based species delimitation, and landscape genetic analyses revealed that populations assigned to the two taxa show a spatial distribution of genetic variation that do not match with current taxonomic designations and is incompatible with ecological/environmental speciation. Our results support little phenotypic variation among populations and a marked genetic structure that is mostly explained by geographic distances and limited population connectivity across the abrupt landscapes characterizing the study region. Overall, this study highlights the importance of integrative approaches to identify taxonomic units and elucidate the evolutionary history of species.</p>
Fig. 2 in Morphological diagnoses of higher taxa in Ophiuroidea (Echinodermata) in support of a new classification
Fig. 2. Examples of skeletal structures of brittlestars. A. Dorsal disc with scales and plates in Amphiura Forbes, 1843 (P). B. Oral frame with teeth (T) and apical tooth cluster (APC) in Ophiocoma L. Agassiz, 1836. C. Oral frame with infradental oral papillae (IP) in Ophioplax Lyman, 1875. D. Disc spines in Ophiacantha Müller & Troschel, 1842. E. Disc granules in Ophiocoma L. Agassiz, 1836. F. Disc tubercles in Acrocnida Gislén, 1926. G. Dental plate (DP) in Ophiura Lamarck, 1801, with teeth attached. H. Dental plate with sockets for regular teeth (TS) and for apical tooth cluster (APC) in Ophiocoma L. Agassiz, 1836. I–J. Lateral arm plate in Amphiura Forbes, 1843. I. External view with arm spine articulations (ASA). J. Internal view. Scale bars in millimetres.
Fig. 1 in Morphological diagnoses of higher taxa in Ophiuroidea (Echinodermata) in support of a new classification
Fig. 1. Summary phylogenetic tree of the ophiuroid higher taxonomy. Modified from O'Hara et al. (2017: fig. 1), with Ophiobyrsidae included based on O'Hara et al. (2017: fig. S3) sample Ophiuroidea_ sp_IE.2009.1713 (= Ophiophrixus_confinis) and additional unpublished exon-capture data on samples Ophiobyrsa_rudis_F222711 and Ophiosmilax_sp_IE.2207.6967. All-sites PLRS/RAxML tree with node support and age confidence intervals (coloured bars). Node support shows all-sites RAxML BS followed by the proportion of the data subset trees in agreement. For all other nodes support was 100/1. The root was fixed according to O'Hara et al. (2014) at 270 Ma.
Supporting dataset for manuscript: "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (PLoS ONE)
<p>This is the supporting datafile for the manuscript entitled "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (Marx et al., PLoS ONE). The dataset includes anonymized, routinely collected notification data (variables labeled as "nd") for 314 individuals and anonymized survey data (i.e. data obtained through interviews; variables labeled as "sd") for a subset of 154 individuals. The data are published open-access, in accordance with the PLoS ONE data policy (2014).</p>
Support of Creative Commons Licenses in German disciplinary and institutional open access repositories
<p>Which of the following open content licenses can be chosen for the metadata description of the open access full-texts (apart from the deposit license)? n=81* </p> <p>* This survey question is part of the 2014 Census of Open Access Repositories in Germany, Austria and Switzerland, see: http://nbn-resolving.de/urn:nbn:de:kobv:11-100222687 For the research data see: http://doi.org/10.5281/zenodo.10734 </p>
Supporting data: Reporting phenotypes in model organisms when considering body size as a potential confounder.
<p>This directory contains the data and associated scripts used to generate the figures in the manuscript "Reporting phenotypes in model organisms when considering body size as a potential confounder." submitted to the Journal of Biomedical Semantics</p>
Supporting materials for manuscript entitled 'Ultrasonic Isolation of Buried Pipes'
<p>This set contains data in support of some of the figures appearing in an open access manuscript entitled 'Ultrasonic Isolation of Buried Pipes' that is published at the Journal of Sound of Vibration (DOI:10.1016/j.jsv.2015.10.018).</p> <p>The data set contains ultrasonic guided wave attenuation measurements performed on a full-scale experimental rig, and model simulations output obtained using the software Disperse. The data set contains three files. Details on the specific data is provided within an extra file ('readme' file).</p>
Modeling sympathetic cooling of molecules by ultracold atoms: supporting data
<p>Data used in preparation of the paper "Modeling sympathetic cooling of molecules by ultracold atoms", authored by Jongseok Lim, Matthew D. Frye, Jeremy M. Hutson and M. R. Tarbutt.</p> <p>There are four different types of data:</p> <p>(1) Tables of total cross sections versus collision energy for collisions of CaF with Li and Rb for various values of s-wave scattering length (see figure 1)</p> <p>(2) Tables of differential cross sections versus energy for collisions of CaF with Li and Rb for various values of s-wave scattering length. The differential cross sections are given as cumulative distribution functions.</p> <p>(3) Simulated kinetic energy distributions at 1s intervals for sympathetic cooling of CaF with Li and Rb for various values of s-wave scattering length (see figures 5 and 6).</p> <p>(4) Simulated kinetic energy distributions at 1s intervals for sympathetic cooling of CaF with Rb with various evaporative cooling ramps applied to the Rb (see figure 13).</p>
Can a Wi-Fi WLAN Support a First Person Shooter?
<p>Jose Saldana, Juan Luis de la Cruz, Luis Sequeira, Julian Fernandez-Navajas, Jose Ruiz-Mas, "Can a Wi-Fi WLAN Support a First Person Shooter?," NetGames 2015, The 14th International Workshop on Network and Systems Support for Games Zagreb, Croatia, December 3-4, 2015.<br /> ISBN: 978-1-5090-0067-8</p> <p>This work has been partially ?nanced by the EU H2020 Wi-5 project (Grant Agreement no: 644262), and European Social Fund in collaboration with the Government of Aragon.</p> <p><br /> - The file "netgames_2015_in_proc.pdf" contains the paper published in the proceedings of the conference.</p> <p><br /> - Support files and results:</p> <p><br /> "captures" directory contains the ".pcap" captures made for both tests using Wireshark.</p> <p><br /> "files" directory contains the filtered data from the captures or from the D-ITG raw output. The ".log" files are binary. They have been obtained with D-ITG (Distributed Internet Traffic Generator, http://traffic.comics.unina.it/software/ITG/)</p> <p>A. Botta, A. Dainotti, A. Pescapè, "A tool for the generation of realistic network workload for emerging networking scenarios", Computer Networks (Elsevier), 2012, Volume 56, Issue 15, pp 3531-3547. </p> <p> </p> <p>"src" directory contains the ".m" matlab script and functions used for processing the raw data obtained. MATLAB R2013 compatible. It also includes the ".fig" files, to be opened with the same version of MATLAB.</p> <p>NOTE: It is MANDATORY adding the directories to the MATLAB path.</p> <p>Juan Luis de la Cruz, September 2015</p> <p> </p> <p><em>Abstract</em>—In corporate and commercial environments, the deployment of a set of coordinated Wi-Fi APs is becoming a common solution to provide Internet coverage to moving users. In these scenarios, real-time services as online games can also be present. This paper presents a set of experiments developed in a test scenario where an end device moves between different APs while generating game traffic. A WLAN solution based on virtual APs is used, in order to make the handoffs transparent for Layer 3. The results show that it is possible to maintain an acceptable level of subjective quality during the handoff. At the same time, it is set clear that the fact of having a gamer in an AP could be taken into account by radio resource management algorithms, in order to provide a better quality.</p>
Supporting raw data for: The key role of the largest extant neotropical frugivore (Tapirus terrestris) in promoting admixture of plant genotypes across the landscape
<p>These files contain the supporting raw data of the journal article <strong>The key role of the largest extant neotropical frugivore (<em>Tapirus terrestris</em>) in promoting admixture of plant genotypes across the landscape</strong>. They include the geographical coordinates and genotypes (microsatellites) of 259 palm (<em>Syagrus romanzoffiana</em>) individuals analyzed in the mentioned study, as well as an example of one input file for conducting data analysis with the software COLONY 2.0. A text file (´Readme') describing this archived supporting data in further detail is also provided.</p>
Supporting data: Grain-dependent responses of mammalian diversity to land-use and the implications for conservation set-aside
<p>Camera trap and live trap datasets underlying the analyses in an <em>Ecological Applications </em>paper (http://onlinelibrary.wiley.com/doi/10.1890/15-1363/abstract), provided in .csv format. Each row consists of a single trap night at a given location, with species in different columns. Old-growth forest, logged forest and oil palm plantation locations have the prefixes "Old", "Log" and "Palm", respectively. Values in each cell are the number of independent captures, as defined in the paper. </p>
ScienceDex guides
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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.