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3,172
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Dataset results
3,172 results for “Publications”
EIT-team/Stroke_EIT_Dataset: Publication release
<p>The version used to accompany publication of the data. This has minor DOI and file structure updates from previous version</p>
Supplementary material for publication "Pore-scale salinity effects on methane hydrate dissociation" by Almenningen et al
<p>Supplementary materials for publication "Pore-scale salinity effects on methane hydrate dissociation"</p> <p>Abstract: Sedimentary methane gas hydrates may become a significant source of methane gas in the global energy mix for the next decades. The widespread distribution of methane hydrates, primarily in subsea sediments on continental margins, makes the crystalline compound attractive for countries with shorelines that seek self-sustainable energy. Fundamental understanding of pore-level methane hydrate distribution and dissociation pattern is important to anticipate the gas production from hydrate reservoirs. Especially the effect of local salinity gradients on dissociation characteristics must be understood as the aqueous phase in most reservoirs is saline. We evaluate the pore-level salinity effect on hydrate dissociation experimentally using silicon-wafer micro-models capable of withstanding high internal pressures. Methane hydrates were formed with brines for a range of salinities (0.0, 2.0, 3.5 and 5.0 wt% NaCl), and we study hydrate dissociation during both depressurization and thermal stimulation, which currently are the most cost-effective production methods. The laboratory results show how initial pore-scale hydrate distribution prior to dissociation affect the melting and mobilization of gas. The local pore-water salinities influenced the stability of the hydrate structure, and led to distinct dissociation patterns due to water freshening.</p>
Austrian Science Fund (FWF) Publication Cost Data 2017
<p><br> Following the approach for the datasets in 2013 (<a href="http://dx.doi.org/10.6084/m9.figshare.988754">http://dx.doi.org/10.6084/m9.figshare.988754</a>), 2014 (<a href="https://dx.doi.org/10.6084/m9.figshare.1378610.v14">https://dx.doi.org/10.6084/m9.figshare.1378610.v14</a>), 2015 (<a href="https://doi.org/10.6084/m9.figshare.3180166">https://doi.org/10.6084/m9.figshare.3180166</a>) and 2016 (<a href="https://doi.org/10.5281/zenodo.810596">https://doi.org/10.5281/zenodo.810596</a>), the Austrian Science Fund (FWF) is making the publication costs spent in 2017 (esp. for Open Access) publically available.</p> <p>The dataset includes payments for publications of authors funded by the Austrian Science Fund (FWF) via following programmes:</p> <p>Peer-Reviewed Publications: <a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</a></p> <p>Stand-Alone Publications: <a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</a></p>
Microscopy images and movies supporting the publication: "tRNA tracking for direct measurements of protein synthesis kinetics in live cells"
<p>This repository contains experimental and simulated microscopy movies and images supporting the publication: Volkov et al. (2018) tRNA tracking for direct measurements of protein synthesis kinetics in live cells. <em>Nat Chem Biol, </em>DOI: 10.1038/s41589-018-0063-y</p> <p>A detailed list of files and file organisation can be found in Repository_content.pdf.</p>
Radiation Effects on Satellites during Extreme Space Weather Events (pre-publication dataset)
<p>Data for submitted paper entitled "Radiation Effects on Satellites during Extreme Space Weather Events".</p> <p>Submitted to AGU Space Weather.</p> <p> </p>
Gates Open Research - publication data
<p>Gates Open Research (https://gatesopenresearch.org/) publication metadata and events data, as of 1 March 2018.</p>
HDRIHaven: Public domain high dynamic range image dataset
<p>High quality datasets are essential for image processing research.<br> This set contains 201 high dynamic range panoramic images (360 x 180 degrees) with jpeg previews.<br> <br> The images are originally published at HDRIHaven under CC0 license / waiver:<br> - HDRIHaven: https://hdrihaven.com/<br> <br> The images are named using the SOURCE_IDX_DESCRIPTION.EXTENSION format, e.g. <br> hdrihaven_001_ahornsteig_16k.hdr.xz to ease further reference (e.g. "hdrihaven_001").</p> <p><br> <strong>HDRIHaven:</strong><br> The photos were taken and processed by Greg Zaal, and he generously published the images under CC0 license.<br> The images were originally published at https://hdrihaven.com.</p> <p>The files have Radiance HDR type and 16K resolution (16384x8192, 134Mpixel)<br> <br> <strong>Bugfix:</strong></p> <p>One file was missing from the first version (hdrihaven_200_yellow_field_16k.hdr.xz).<br> This updated version should be used instead of the original.</p> <p> </p> <p><strong>Downloading data:</strong><br> Due to the large size, the .hdr images were compressed with xz, which is not especially fast, but has a high compression ratio. <br> <br> It could be quite time consuming to download each file individually.<br> If all of the files are required, then it might be a better approach to download only the "file_list.txt",<br> and use a download manager to download the rest of the files. E.g. on Unix systems: </p> <pre><code class="language-bash">wget -i file_list.txt </code></pre> <p><br> Direct link to the file list: <a href="https://zenodo.org/record/1285800/files/file_list.txt">https://zenodo.org/record/1285800/files/file_list.txt</a></p> <p>Alternatively, zenodo_get ( <a href="https://gitlab.com/dvolgyes/zenodo_get">http://gitlab.com/dvolgyes/zenodo_get</a> ) could be used to download the whole record, e.g.<br> </p> <pre><code>zenodo_get.py 10.5281/zenodo.1285800</code></pre> <p> </p> <p><strong>Related links:</strong></p> <p>You might also be interested in: <a href="https://doi.org/10.5281/zenodo.1245790">https://doi.org/10.5281/zenodo.1245790</a> which is a similar dataset.</p>
Instance of the learning ecosystem metamodel: model of the ecosystem for knowledge management in Spanish Public Administration
<p>The conceptual model definition of the learning ecosystem for knowledge management in the Spanish Public Administration has been made by defining three views or packages from the ecosystems metamodel presented above. The views correspond to the three main parts identified in the learning ecosystem metamodel (<a href="http://doi.org/10.5281/zenodo.829859">http://doi.org/10.5281/zenodo.829859</a>): software components, human elements and the relationship among each other.</p>
Data used in the publication "The sensitivity of streamer inception on the initial electron-ion patch"
<p>This data was used to generate the Figures in the publication "The sensitivity of streamer inception on the initial electron-ion patch".</p>
Associated raw data to the publication: An accurate and efficient camera-based indoor positioning approach for intralogistic environments (MHCL 2015)
<p>This is a test data set for marker-based augmented reality algorithms used to locate ground conveyors in an industrial environment. It was recorded in the testing area of the chair fml at TUM to develop and evaluate algorithms for locating forklift trucks in the publication "An accurate and efficient camera-based indoor positioning approach for intralogistic environments" at MHCL 2015 conference (see https://mediatum.ub.tum.de/1286589 and http://www.fml.mw.tum.de/fml/images/Publikationen/MHCL_2015_jung_submitted.pdf). Originally these files were recorded and used as uncompressed 8-bit grayscale bitmaps. The images were losslessly compressed to png files in order to reduce the test set file size (by approx. factor 3.5)</p>
Supporting dataset for the publication 'Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity'
<p>This dataset accompanies the publication "Human T cell receptor occurrence patterns encode immune history, genetic background, and receptor specificity" by William S DeWitt III, Anajane Smith, Gary Schoch, John A Hansen, Frederick A Matsen IV and Philip Bradley, accepted for publication in the journal eLife. It contains data on T cell receptor occurrence patterns and repertoire features that can be processed with the software tools provided in the github repository https://github.com/phbradley/pubtcrs in order to replicate the findings of the manuscript.</p> <p> </p>
CATCH-EyoU: Public Authorities engaging with youth: Policy Documents: UK
<p>The specific data collected are written public documents by UK governmental and civil society actors regarding youth at European, national and local levels, produced during a three-year period between 2012-2014. The aim of the collection of public documents is to characterize contemporary European Union policy discourses and examine how policies and pronouncements about youth are both conceptualized and enacted in the UK. The dataset contains 10 primary documents selected and summarized in an Excel spreadsheet. Full citation of data sources is provided via excel spreadsheet. The dataset consists of original source document summaries that are catalogued in an excel spreadsheet by identifying information (author/title/year) and summaries of the general character of each document.</p>
samfranks/eu_meadow_birds: Public archive of data and code for paper publication
<p>Public archive of data and code for paper publication Franks <em>et al</em>. (2018). Evaluating the effectiveness of conservation measures for European grassland-breeding waders. <em>Ecology and Evolution</em></p>
SimPA: A Sentence-Level Simplification Corpus for the Public Administration Domain
<p>We present a sentence-level simplification corpus with content from the Public Administration (PA) domain. The corpus contains 1,100 original sentences with manual simplifications collected through a two-stage process. Firstly, annotators were asked to simplify only words and phrases (lexical simplification). Each sentence was simplified by three annotators. Secondly, one lexically simplified version of each original sentence was further simplified at the syntactic level. In its current version there are 3,300 lexically simplified sentences plus 1,100 syntactically simplified sentences. The corpus will be used for evaluation of text simplification approaches in the scope of the EU H2020 SIMPATICO project - which focuses on accessibility of e-services in the PA domain - and beyond. The main advantage of this corpus is that lexical and syntactic simplifications can be analysed and used in isolation. The lexically simplified corpus is also multi-reference (three different simplifications per original sentence). This is an ongoing effort and our final aim is to collect manual simplifications for the entire set of original sentences, with over 10K sentences.</p>
IMPULSE: Integrate Public Metadata Underneath professional Library SErvices
<p>This repository contains the results of our experimental evaluation conducted with IMPULSE (<a href="https://github.com/t-blume/impulse">https://github.com/t-blume/impulse</a>). The datasets are subsets of the Billion Triple Challenge Dataset 2014 (<a href="http://km.aifb.kit.edu/projects/btc-2014/">http://km.aifb.kit.edu/projects/btc-2014/</a>) containing only bibliographic metadata.</p>
Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias
<p>Data for our article "<strong>Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias</strong>" by Brlík et al. </p>
Supporting publication for 'Guidelines for reporting 2018 prevalence sample-based data in accordance with SSD2 data model'
<p>These two Excel documents help you to map terms from the matrix catalogue ZOO_CAT_MATRIX used in the aggregated prevalence data model to FoodEx2 codes and offer you examples on how prevalence data can be reported using SSD2</p>
Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling
<p>Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: <a href="https://doi.org/10.3389/fnins.2019.00850">https://doi.org/10.3389/fnins.2019.00850</a></p>
Data and R code associated to the publication: "Effects of land use, cover and protection on stream and riparian ecosystem services and biodiversity"
<p>This R code and dataset accompany Hanna et al's 2019 publication in Conservation Biology titled "Effects of land use, cover and protection on stream and riparian ecosystem services and biodiversity". Read the "Metadata" tab of the data file and code annotations for more information. </p>
Numerical model code, input files and output data for publication "Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current"
<p>Contains numerical model data (code, input files, selected output, matlab diagnostic routines) to supplement publication ``Rapid mixing and exchange of deep-ocean waters in an abyssal boundary current'', by Naveiro Garabato and co-authors. All numerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations, and reproduction of diagnostics shown in plots in the above-referenced paper.</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.