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10,119 results for “IT Support”
Data in support of "Chemical Contrast by Diffraction and Debye-Waller scattering in SHeM"
<p>The videos show simulated Scanning Helium Microscope scans of two samples of Lithium Fluoride. As the samples are moved away from the microscope detector, one can see successive diffraction peaks entering the detector, showing contrast based on helium atom diffraction.</p>
Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers
<p><strong>Supporting Datasets produced in Allen et al. (2020) Timing of Landsat Overpasses Effectively Captures Flow Conditions of Large Rivers </strong></p> <p>Published in <em>Remote Sensing </em>(DOI coming soon)</p> <p><strong>Description:</strong></p> <p>These CSV tables contain daily discharge data of large rivers measured by USGS gauges. We used overpass timing and cloud cover information for Landsat 5, 7, and 8 over a 35-year study period. Code that was used to produce, process and analyze these data can be found in the following code repository: <a href="https://github.com/geoallen/ROTFL">https://github.com/geoallen/ROTFL</a></p> <p><strong>About the data:</strong></p> <p>Each column contains data from an individual gauge. The column name is the USGS gauge number. If the gauge number (column name) is 7 digits, it is understood that the number begins with a zero (all gauge numbers are 8 digits; this is only important if you are re-downloading data). </p> <p>All tables are equal dimensions. The position of a discharge measurement in the DischargeValues table can be used to look up it’s date recorded/qualification code in the Dates and Codes tables as every row-col combination refers to the same measurement. </p> <p>Measurements span data range: 1984-01-01 to 2019-08-13 <br> DischargeValues = Discharge recorded in cubic feet per second <br> DischargeDates = Unix date that discharge measurement was recorded on. <br> DischargeCodes = Daily Value Qualification Code </p>
EUROMALT Briefing note No. 2 Ochratoxin A - Additional document from EUROMALT supporting the comments submitted during the public consultation on the Risk assessment of ochratoxin A in food
<p>This document has been submitted by EUROMALT as additional document supporting the comments submitted during the public consultation organised by the European Food Safety Authority in relation to the draft scientific opinion on the Risk assessment of ochratoxin A in food. The text of the comments is published in the Technical report of the public consultation - see related identifiers section, http://doi.org/10.2903/sp.efsa.2020.1845</p> <p> </p> <p>EUROMALT has agreed by email submitted to EFSA to disclose this confidential document and to have it published on Zenodo.</p> <p>.</p>
Supporting data files for "Binding of Biologically Relevant Divalent Cations to Aqueous Carboxylates: Molecular Simulations Guided by Raman Spectroscopy"
<p>Parameter files and typical simulation input files that allow replication of the computational work presented in the paper "Binding of Biologically Relevant Divalent Cations to Aqueous Carboxylates: Molecular Simulations Guided by Raman Spectroscopy", authored by Denilson Mendes de Oliveira, Samual R. Zukowski, Vladimir Palivec, Jérôme Hénin, Hector Martinez Seara, Dor Ben Amotz, Pavel Jungwirth and Elise Duboué-Dijon</p>
Effective use of personal health records to support emergency services
<p>Data and code supporting the paper titled "Effective use of personal health records to support emergency services" by Morales et al. (2020)</p> <p>Content:</p> <ol> <li>Synthetic Health Records dataset <ul> <li>ttl and nt files</li> </ul> </li> <li>Gold Standard <ul> <li>Curated Gold Standard based on the data set</li> </ul> </li> <li>Code used to analyse the dataset <ul> <li>Python</li> <li>Queries the data in Blazegraph, identifies valid data points and obtains people in need of help and the type of disability</li> </ul> </li> </ol>
Aligning repository networks to support international sharing of COVID-19 resources and other current issues
<p>Recording of a panel "Aligning repository networks to support international sharing of COVID-19 resources", organized by COAR. This panel presented several national approaches to managing and sharing COVID-19 resources from around the world (Africa, Canada, Europe, Latin America, Asia), followed by a discussion about how we can work more closely across countries and regions to ensure that content can be integrated internationally. Participants: Kathleen Shearer - COAR, Paolo Manghi - OpenAIRE, Europe, Kazuhiro Hayashi, National Institution of Science and Technology Policy, Japan, Ansie Van de Wasthuizen, UNISA, South Africa, Cesar Olivares, CONCYTEC, Peru and LA Referencia, Latin America, Geoff Harder, Canadian Association of Research Libraries<br> <br> Organization Identifiers and Open Repositories: ROR-ing Together – Maria Gould, California Digital Library, University of California Office of the President.<br> <br> Research Data Management: a Stellenbosch University Journey – Samuel Simango, Stellenbosch University Library.<br> <br> Towards Open Data Metrics: enabling data repositories to demonstrate reuse – Kristian Garza, DataCite.</p> <p>DSpace-CRIS 7: What is Coming? – Susanna Mornati, 4Science</p>
Figure 4 in Morphology and vocalization support specific status of the Chestnut-headed Chachalacaı Ortalis motmot ruficeps (Waglerı 1830) (Aves; Galliformes; Cracidae)
Figure 4. Distribution of O. motmot (blue and light blue) and of O. ruficeps (orange and red). Circles: measured specimens; triangles: vocalizations; diamonds: skins not measured; squares: photographs.
Figure 1 in Morphology and vocalization support specific status of the Chestnut-headed Chachalacaı Ortalis motmot ruficeps (Waglerı 1830) (Aves; Galliformes; Cracidae)
Figure 1. Photographs of the tail of O. motmot (MZUSP 82332) and O. ruficeps (MZUSP 102858) showing the color differences of the external rectrices (arrows). In O. ruficeps the border of the external rectrices are tinged with olive dark brown while in O. motmot they are reddish brown.
Supporting data for Aquaplanets as a framework for examination of aerosol effects
<p>Monthly average data from Community Earth System Model version 2 needed to reproduce analysis in "Aquaplanets as a framework for examination of aerosol effects" (https://dx.doi.org/10.1029/2019MS001874). Each file contains several monthly averaged fields with dimensions of time, latitude, and longitude; some fields also have a vertical level dimension (lev). All simulations used the finite volume dynamical core with a 0.9° latitude by 1.25° longitude grid and 32 vertical hybrid-sigma levels. Files are divided by simulation, with the beginning of the file name indicating the experiment:</p> <ul> <li>glb_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions uniformly distributed</li> <li>hemi_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in northern hemisphere</li> <li>quad_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in northern hemisphere, 0-90° longitude</li> <li>salt_qpc6_cesm2p1p2.nc -- aquaplanet, no emissions except diagnostic sea-salt</li> <li>trop_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions in tropics (-30°-30° latitude)</li> <li>wedge_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions 0-30° longitude</li> <li>xtrop_qpc6_cesm2p1p2.nc -- aquaplanet, pre-industrial emissions poleward of 30°</li> <li>PD_emis_qpc6_cesm2p1p2.nc -- aquaplanet, year 2000 emissions</li> <li>PI_emis_qpc6_cesm2p1p2.nc -- aquaplanet, realistic pre-industrial emissions</li> <li>amip_F2000_cesm2.nc -- Earth configuration, year 2000 SST, year 2000 aerosol emissions</li> <li>amip_PI_F2000_cesm2.nc -- Earth configuration, year 2000 SST, pre-industrial aerosol emissions</li> </ul> <p>Files are netCDF4 using compression. They were produced from model-native netCDF3 monthly files using NCO to concatenate months for the selected variables.</p>
PhD thesis supporting material
<p>This dataset contains the archive of the supporting code and simulation data for my doctoral thesis at the University of Bonn available here (http://hdl.handle.net/20.500.11811/8443).</p>
Supporting information for a rapid gamma-ray flux reduction paper
<p>Supporting data and information needed to reproduce the described in the paper results and conclusions.</p>
Data supporting manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to JGR Oceans
<p>This directory contains simulation data used in the manuscript "Effect of cold front-induced waves along wetlands boundaries" submitted to jGR Oceans.</p> <p>1. Matlab codes for wind input generation</p> <p> (From NCEP Reanalysis data and NOAA weather station to Delft3D space-varying wind input)</p> <p>2. Wave Power Calculator </p> <p> (Wave number calculation by the dispersion relation Including <em>Newton</em>–<em>Raphson </em>codes, Shallow and Deep-water approximation availability check)</p> <p>Data are intended for the reviewers and may be updated until the review process is complete.</p>
Data from: Assessing support for Blaberoidea phylogeny suggests optimal locus
<p>Phylogenomics seeks to use next-generation data to robustly infer an organism's evolutionary history. Yet, the practical caveats of phylogenomics motivates investigation of improved efficiency, particularly when quality of phylogenies are questionable. To achieve improvements, one goal is to maintain or enhance the quality of phylogenetic inference while severely reducing dataset size. We approach this by assessing which kinds of loci in phylogenomic alignments provide the majority of support for a phylogenetic inference of cockroaches in Blaberoidea. We examine locus substitution rate, saturation, evolutionary divergence, rate heterogeneity, stabilizing selection, and<i> a priori</i> information content as traits that may determine optimality. Our controlled experimental design is based on 265 loci for 102 blaberoidean taxa and 22 outgroup species. Loci with high substitution rate, low saturation, low sequence distance, low rate heterogeneity, and strong stabilizing selection derive more support for phylogenetic relationships. We found that some phylogenetic information content estimators may not be meaningful for assessing information content <i>a priori</i>. We use these findings to design concatenated datasets with an optimized subsample of 100 loci. The tree inferred from the optimized subsample alignment was largely identical to that inferred from all 265 loci but with less evidence of long branch attraction, improved statistical support, and potential 4-6x improvements to computation time. Supported by phylogenetic and morphological evidence, we erect three newly named clades (Anallactinae Evangelista & Wipfler <i>subfam. nov.,</i> Orkrasomeria <i>tax. nov. </i>Evangelista, Wipfler, & Béthoux, and Hemithyrsocerini Evangelista <i>tribe nov</i>.) and propose other taxonomic modifications. The diagnosis of Pseudophyllodromiidae Grandcolas, 1996 is modified to accommodate Anallactinae and Pseudophyllodromiinae Vickery & Kevan, 1983. The diagnosis of<i> </i>Ectobiidae Brunner von Wattenwyl, 1865 is modified to add novel morphological characters.</p>
The Jurassic rise of squamates as supported by lepidosaur disparity and evolutionary rates
<p>The squamates (lizards, snakes, and relatives) today comprise more than 10,000 species, and yet their sister group, the Rhynchocephalia, is represented by a single species today, the tuatara. The explosion in squamate diversity has been tracked back to the Cretaceous Terrestrial Revolution, 100 million years ago (Ma), the time when flowering plants began their takeover of terrestrial ecosystems, associated with diversification of coevolving insects and insect-eating predators such as lizards, birds, and mammals. Squamates arose much earlier, but their long pre-Cretaceous history of some 150 million years (Myr) is documented by sparse fossils. Here, we provide evidence for an initial radiation of squamate morphology in the Middle and Late Jurassic (174–145 Ma), and show that they established their key ecological roles much earlier than had been assumed, and they have not changed them much since.</p>
Data supporting Food web complexity weakens size-based constraints on the pyramids of life
<p>Marine ecosystems are generally expected to have bottom-heavy trophic structure (more plants than animals) due to size-based constraints arising from increased metabolic requirements and inefficient energy transfer. However, size-based (allometric) approaches are often limited to confined trophic level windows where energy transfer is predicted by size alone, and are constrained to bottom-up control at steady state. In real food webs, energy flow is more complex and top-down processes can also shape trophic structure. We expand size-based theory to account for complex food webs, and show that moderate levels of food web connectance allow for inverted trophic structure more often than predicted, especially in marine ecosystems. Trophic structure inversion occurs due to incorporation of complex energy pathways and top-down effects on ecosystems. Our results suggest that marine ecosystems should be top-heavy, and observed bottom-heavy trophic structure may be a result of human defaunation of the ocean that has been more extreme than presently recognized.</p>
Supporting data for "A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models"
<p>Dataset necessary to reproduce the results and analyses presented in the paper:</p> <p>Gourgue, O., van Belzen, J., Schwarz, C., Bouma, T.J., van de Koppel, J. & Temmerman, S. (2020) A convolution method to assess subgrid-scale interactions between flow and patchy vegetation in biogeomorphic models, Journal of Advances in Modeling Earth Systems, submitted.</p> <p>The dataset contains:</p> <ul> <li>Process-based model simulations, including their input files and the Python scripts to generate them (pre-processing), as well as the output files and Python scripts to post-process them.</li> <li>Flume experiment data processed for the model calibration.</li> <li>Python scripts to generate the figures and tables of the manuscript.</li> </ul>
Supporting live data sessions in multi-user virtual reality using CAVA360VR
<p>A dense composite 2D video clip showing the different screens and audio chat of three analysts using <em>CAVA360VR </em>(Collaborate, Annotate, Visualise, Analysis 360 video in Virtual Reality) to hold a live virtual data session at a national research conference in 2019. The three co-analysts (M, J and P) in VR were collaborating even though they were in three different physical locations across two countries. The video data that they analysed together involved multicam recordings of six participants in a two-team competition to solve a Lego puzzle when only one member in each group could view the hidden Lego construction in order to instruct the others in their team how to rebuild it from a pile of blocks. The video clip shows the viewport chosen by each of the three analysts. There are three possible viewports that can be selected: a) what they each see in their VR HMD (head-mounted display), b) an over-the-shoulder view (with an outline showing their avatar), and c) a static third-person view of the three analysts. A fourth screen shows the view of an observer in non-VR mode.</p>
Anonymized source data files for figures in: Recurrent processes support a cascade of hierarchical decisions
<p>Perception depends on a complex interplay between feedforward and recurrent processing. Yet, while the former has been extensively characterized, the computational organization of the latter remains largely unknown. Here, we use magneto-encephalography to localize, track and decode the feedforward and recurrent processes of reading, as elicited by letters and digits whose level of ambiguity was parametrically manipulated. We first confirm that a feedforward response propagates through the ventral and dorsal pathways within the first 200 ms. The subsequent activity is distributed across temporal, parietal and prefrontal cortices, which sequentially generate five levels of representations culminating in action-specific motor signals. Our decoding analyses reveal that both the content and the timing of these brain responses are best explained by a hierarchy of recurrent neural assemblies, which both maintain and broadcast increasingly rich representations. Together, these results show how recurrent processes generate, over extended time periods, a cascade of decisions that ultimately accounts for subjects' perceptual reports and reaction times.</p>
Supporting data and scripts for Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al.
<p>This data set contains scripts and data used to analyze the observations described in Nature Astronomy article "Detection of two bright radio bursts from magnetar SGR 1935+2154" by Kirsten et al. 2020. The scripts used to create the plots therein also included.</p>
Supporting Data for "Casein micelles in milk as sticky spheres" (Soft Matter, doi:10.1039/D0SM01327G)
<p>Merged ultra-small-angle X-ray scattering (USAXS) and small-angle X-ray scattering (SAXS) data after processing using USAXS macros and Irena in IGOR Pro, using the procedures described in the paper.</p> <p>Three column data [Q in 1/Å, I(Q) in 1/cm, uncertainty I(Q) in 1/cm]</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.