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3,172 results for “Publications”
Fig. 1 in Data publication and dissemination of interactive keys under the open access model
Fig. 1. Th e ZooKeys model for data publication and dissemination of interactive keys.
Datasets and images of publication: Self-healing and high interfacial strength in multi-material soft pneumatic robots via reversible Diels-Alder bonds
<p>Data and Figures of the publication:</p> <p>Terryn, S.; Roels, E.; Brancart, J.; Assche, G.V.; Vanderborght, B. Self-Healing and High Interfacial Strength in Multi-Material Soft Pneumatic Robots via Reversible Diels–Alder Bonds. <em>Actuators</em> <strong>2020</strong>, <em>9</em>, 34.</p>
Raw mass spectrometry data for publication "Vertebrate cellular endolysosome modulating pore-forming protein is negatively regulated by its homologue under environmental oxidative conditions"
<p><strong>Abstract</strong>: Endolysosomes are key players in cell physiology, including material exchange, immunity and environmental adaptation etc. Bacterial pore-forming toxin aerolysin-like proteins (ALPs) are widely distributed in animals and plants. βγ-CAT is a complex of an ALP (BmALP1) and a trefoil factor (BmTFF3) in the frog <em>Bombina maxima</em>. It is the first example that a secreted endogenous pore-forming protein modulates the biochemical properties of endolysosomes via pore formation in these vesicles. Here, we report the identification of BmALP3, a homologue of BmALP1 that lacks membrane pore formation capacity. Both BmALP3 and BmALP1 contain a conserved cysteine in their C-terminal regions. BmALP3 was readily oxidized to disulfide bond linked homodimer, and the homodimer could then oxidize BmALP1 via disulfide bond exchange, resulting in the dissociation of βγ-CAT subunits and elimination of its biological activity. Consistent with its behavior <em>in vitro</em>, BmALP3 senses environmental oxygen tension <em>in vivo</em>, leading to modulation of βγ-CAT activity. Interestingly, this C-terminal cysteine site is well conserved in numerous vertebrate ALPs. These findings, for the first time, uncovered the existence of a regulatory ALP (BmALP3) and its modulating action on a cell executive ALP (BmALP1) in a redox-dependent manner, which is completely different from that of bacterial toxin aerolysins.</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>
DATA SET FOR PUBLICATION: Structure Determination of Hen Egg-White Lysozyme Aggregates Adsorbed to Lipid/Water and Air/Water Interfaces
<p>The data set collected for the publication: "Structure Determination of Hen Egg-White Lysozyme Aggregates Adsorbed to Lipid/Water and Air/Water Interfaces" (<a href="https://doi.org/10.1021/acs.langmuir.9b03826">https://doi.org/10.1021/acs.langmuir.9b03826</a>).</p>
Dataset for NMR quadrature echo and T1 saturation recovery pulse sequences underlying the publication 'On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry'
<p>This record comprises the datasets of combined 1H NMR quadrature echo and T1 saturation recovery pulse sequences underlying the publication “On the quantification of solid phases in hydrated cement paste by 1H nuclear magnetic resonance relaxometry” by Robert Schulte Holthausen & Peter J. McDonald, Cement and Concrete Research, https://doi.org/10.1016/j.cemconres.2020.106095.</p> <p><br> In this work different solid phases, important to cement paste hydration, are investigated with low-field bench top 1H nuclear magnetic resonance with a view to developing an alternate characterisation methodology that requires minimal invasive or destructive sample preparation.</p> <p><br> A combination of the well-established quadrature echo pulse sequence with variable pulse gap together with a T1 saturation recovery quadrature echo pulse sequence is used.</p>
Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"
<p>Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.</p>
plan4res - public dataset for case study 1 part MIM-1: time series used for multi-modal investment pathway modelling
<p>Public data set which is used within the plan4res project for performing case study 1 "Multi-modal European energy concept for achiving COP21" - Multi-modal Investment modelling (MIM) Part 1: Time series for the reference year 2015</p> <p>The related documentation is included in plan4res' deliverable D4.5 chapter 3.2 (see 10.5281/zenodo.3785010) </p> <p>The data set includes the following data:</p> <p>a) characteristic annual load profiles for large industrial heat demand for chemical, iron & steel, food & beverage and pulp & paper industries for the reference year 2015</p> <p>HOTMAPS__TD_OUT_D_CHEM__20200608T160653__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_FOOD__20200608T160724__20200422T120000Z__v01.csv <br> HOTMAPS__TD_OUT_D_IRON__20200608T160705__20200422T120000Z__v01.csv HOTMAPS__TD_OUT_D_PAPER__20200608T160715__20200422T120000Z__v01.csv </p> <p>b) characteristic demand profiles for road-side car passenger transport and availability of cars for charging while (home) parking for the reference year 2015 </p> <p>SIEMENS__TD_OUT_D_RoadCar__20200608T160627__20200401T120000Z__v01.csv SIEMENS__TD_CAP_CarPark__20200608T160637__20200401T120000Z__v01.csv </p> <p>c) load profiles for exogeneous demand of electricity for the reference year 2015. The exogenous demand includes all electricity consumptions not explicitly modeled within MIM modeling.</p> <p>HRE4__TD_OUT_ElectricityExo__20200608T160732__20200401T120000Z__v01.csv </p> <p>c) regionally resolved demand profiles for (individual) space heating and space cooling for the reference year 2015</p> <p>HRE4__TRD_CAP_Cool_2015__20200608T160051__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_HeatInd_2015__20200608T155849__20200401T120000Z__v01.csv</p> <p>d) regionally resolved generation profiles of electricity from photovoltaic, wind onshore, wind offshore, hydro run-of-river, and for heat generation from solar thermal for the reference year 2015</p> <p>NINJA__TRD_CAP_PV_2015__20200608T160440__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindOFF_2015__20200608T155422__20191104T120000Z__v01.csv <br> NINJA__TRD_CAP_WindON_2015__20200608T155251__20191104T120000Z__v01.csv HRE4__TRD_CAP_HydroRoR_2015__20200608T155550__20200401T120000Z__v01.csv <br> HRE4__TRD_CAP_SolarThermal_2015__20200608T155718__20200401T120000Z__v01.csv </p> <p>e) regionally resolved generation profile of electricity from wind offshore transformed in a way to represent potential capacity factors in future as stated by doi:10.2760/041705. Data based on reference year 2015</p> <p>SIEMENS__TRD_CAP_WindOFF_2040__20200608T155127__20200401T120000Z__v01.csv </p> <p>x) A list of geographical description of the zone hierarchy data used in MIM for the EU33 region set.:</p> <p>SIEMENS__ZoneHierarchy_MIM_EU33__20181231T120000Z___20200131T1200000Z__v001.csv </p> <p>Further info:</p> <p>Time series are based on historical data for the reference year 2015. </p> <p>Values are normalized over one reference year in a way that either the maximum = 1 (CAP) or the integral = 1 (OUT).</p> <p>All values are listed in arbitrary units. </p> <p>All country names are according to ISO 3166-1 alpha-2.</p>
Science Communication Webinars Series: Developing Public Outreach Activities
<p>Blue-Action coordinated a series of webinars on climate science communication in 2020. These were aimed at early-career researchers, but anyone who wishes to engage people with their research at any stage will find them valuable.</p> <p>This webinar was delivered on 22nd May 2020 by <a href="https://www.sciencefestival.co.uk/staff/creative">Laura Curtis-Moss</a>, part of the Blue-Action <a href="http://www.blue-action.eu/index.php?id=3503&L=788">Societal Engagement Group</a>. Laura works as a freelance education and science engagement specialist <a href="http://www.linkedin.com/in/lauramosseducation">www.linkedin.com/in/lauramosseducation</a>. </p>
Anonumous Dataset of PAYT readings used for Waste4Think papers. Data used for the following publication: https://zenodo.org/record/3532968#.XvMgz-dS-w6
<p>This dataset is the anonymous version of the full confidential dataset related to individual waste bag generation monitoring through RFID in Seveso, used for Pay As You Throw invoicing.</p> <p>Summary statistics and charts are included in the Excel, and used to prepare the related article</p>
Nino-cunei/oldassyrian: First public version
<p>Converted with same program as did Old Babylonian.</p> <p>There are still some issues to be sorted out.</p> <p>Word dividers are encoded.</p>
Supplementary material for the publication: J. D. Nixon, K. Bhargava and E. Gaura, Analysis of standalone solar streetlights for improved energy access in displaced settlements, 2020.
<p>The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people.</p> <p>As part of the project, we deployed 11 advanced solar streetlights, with additional energy access provided by ground-level AC sockets, at two project sites: Gihembe refugee camp, Rwanda (4 lights) and Uttargaya settlement, Nepal (7 lights), in July 2019. The aim of this study was to (a) identify best practices in the construction, location and security measures for long-lived street lighting (b) understand how communities would use a shared energy resource when available through energy sockets, auxiliary to the main function of the streetlights.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Analysis of standalone solar streetlights for improved energy access in displaced settlements</strong>' (currently under review). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a> under HEED_Nepal_SL and HEED_Rwanda_SL repositories.</p>
Dataset: Public stigma towards prolonged grief disorder (Gonschor, Eisma, Barke & Doering, 2020)
<p>Dataset from Gonschor, Eisma, Barke & Doering (2020): Public stigma towards prolonged grief disorder: Does diagnostic labeling matter?</p> <p>The README file contains the information as outlined below.</p> <p>The data are available in two formats: (a) Excel file and (b) CSV file. The content of (a) and (b) is identical. In the CSV file, the fields are separated by semicola. Decimal sign is a comma. The file contains a matrix of 35 x 9.<br> Description: The file contains the data as entered into the MANOVA after listwise deletion of missings. The values are provided separately for each of the eight experimental conditions. </p> <p>Naming conventions </p> <p>s: symptoms described in vignette:<br> pgd: symptoms of prolonged grief<br> 000: no symptoms<br> d: diagnostic label assigned in vignette:<br> pgd: prolonged grief disorder<br> mde: major depressive episode<br> 000: no diagnosis<br> f / m: male or female person described in the vignette</p> <p>Thus: s_pgd_d_pgd_m: a vignette describing a person with PGD symptoms, who received a PGD diagnosis and of male gender.</p> <p>Variable names: explanation</p> <p>participants_number: absolute number of participants <br> women_number: absolute number of women<br> men_number: absolute number of men<br> gender_divers_number: absolute number of persons identifying their gender as divers<br> age_mean: mean age <br> age_sd: standard deviation of age<br> higher_education_number: absolute number of participants reporting higher education<br> bereaved_last_2_years_number: number of participants who reported any bereavement in the last two years<br> bereavements_lifetime_median: Median of reported bereavements in the participants’ lifetime</p> <p>Participants indicated their relationship towards the person whose death was most distressing to them:<br> loss_spouse_number: Number of participants who had lost a spouse<br> loss_child_number: Number of participants who had lost a child<br> loss_parent_number: Number of participants who had lost a parent<br> loss_grandparent_number: Number of participants who had lost a grandparent<br> loss_sibling_number: Number of participants who had lost a sibling<br> loss_other_number: Number of participants who reported any other loss </p> <p><br> icg_mean: mean score of the Inventory of Complicated Grief (Prigerson et al. 1995)<br> icg_sd: standard deviation of the Inventory of Complicated Grief <br> competent_mean: rating of the griever as competent (mean)<br> competent_sd: rating of the griever as competent (standard deviation)<br> warm_mean: rating of the griever as warm (mean)<br> warm_sd: rating of the griever as warm (standard deviation)<br> dependent_mean: rating of the griever as dependent (mean)<br> dependent_sd: rating of the griever as dependent (standard deviation)<br> sensitive_mean: rating of the griever as sensitive (mean)<br> sensitive_sd: rating of the griever as sensitive (standard deviation)<br> emotionally_stable_mean: rating of the griever as emotionally stable (mean)<br> emotionally_stable_sd: rating of the griever as emotionally stable (standard deviation)<br> fear_mean: rating of one’s fear towards the griever (mean)<br> fear_sd: rating of one’s fear towards the griever (standard deviation)<br> anger_mean: rating of one’s anger towards the griever (mean)<br> anger_sd: rating of one’s anger towards the griever (standard deviation)<br> prosocial_mean: rating of one’s prosocial emotions towards the griever (mean) <br> prosocial_sd: rating of one’s prosocial emotions towards the griever (standard deviation)<br> social_distance_mean: mean score of social distance scale (Link et al. 1987, higher scores indicate a stronger desire for social distance)<br> social_distance_sd: standard deviation of social distance scale</p>
DBLP Publications Network
<p>This dataset contains information about academic articles, their authors and venues of publication. The dataset has the form of a graph. It has been produced by the SmartDataLake project (<a href="https://smartdatalake.eu">https://smartdatalake.eu</a>), using data collected from Aminer (<a href="https://aminer.org">https://aminer.org</a>).</p>
Hookah tobacco public education messages
<p>Hookah tobacco public education messages</p>
Project F2 - Discovering Potential Market for the Integration of Public Transportation and Emerging Shared-Mobility Services
<p>This dataset compiles the results of ridesharing trajectory data aggregation, the analysis result of the transit and ridesharing trip data, and raw data of transit station coordinates and schedules in Chengdu, China. This is part of STRIDE project F2 titled "Discovering Potential Market for the Integration of Public Transportation and Emerging Shared-Mobility Services."</p>
Empirical shapes for the publication "Modifications of the K-Profile parameterization with nondiffusive fluxes for wave effects"
<p>This dataset contains data for the reproduction of the empirical shape functions G_l and g_s introduced in the publication "Modifications of the K-Profile parameterization with nondiffusive fluxes for wave effects".</p>
Data mining tool to discover DevOps trends from public repositories: Predicting Release Candidates with gthbmining.rc
<p>Public repositories have been performing an essential role in bring- ing software and services to technical communities and general users. Most of the cases, public repositories have a DevOps tool, with a live and historical database behind it, to support delivering and all steps this software or service should adopt before going to production. This paper introduces gthbmining, a data mining set of tools to discover DevOps trends from public repositories, and presents the module gthbmining.rc. Considering the premise of a GitHub public repository, the main contribution here is pre- dicting release candidates, an important label a software release has. The methodology, architecture, components and interfaces are explained, as well as potential users. The results show a reliable and flexible tool, as classifiers metrics and graphics are provided, along with the possibility to add new data mining algorithms in the open source module presented. Related works are also supplied, and a conclusion shows the outcomes gthbmining.rc can provide.</p>
Raw data for the publication "Effect of graphene substrate type on formation of Bi2Se3 nanoplates", Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1
<p>This dataset contains the raw AFM and SEM measurement data used for the study of stages of formation of Bi2Se3 nanoplates on different substrates and for the statistical analysis of sizes and thicknesses of the nanoplates. The results are published in Sci. Rep. 9, 4791, 2019. https://doi.org/10.1038/s41598-019-41178-1</p>
Experimental dataset in support of publication
<p>Repository includes:<br> Source microscope HAADF-STEM images from NION UltraSTEM (.npy format) & corresponding metadata (.json). </p> <p>Reconstructed Image: (BFSO55_56_HAADF.npy)</p> <p>Parameterization data: (BFSO55_56_XX.npy)</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.