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552 results for “Security”
DASP: A Framework for Driving the Adoption of Software Security Practices
<p>Online appendix for the publication:</p> <p>DASP: A Framework for Driving the Adoption of Software Security Practices.</p>
GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles (presentation video)
<p>Video of the presentation for the publication M. Kamal, A. Barua, C. Vitale, C. Laoudias and G. Ellinas, "GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-7, doi: 10.1109/VTC2021-Fall52928.2021.9625567.</p>
Accompanying material for Article: No cash, no food. Gendered reorganization of livelihoods and food security in Cambodia
<p>Results of the two questionnaire-base surveys carried on in 2016 and 2019 on rural livelihoods in Cambodia</p>
A Comprehensive Solution for Securing Connected and Autonomous Vehicles (presentation video)
<p>Video recording of the online presentation for the publication M. Kamal et al., "A Comprehensive Solution for Securing Connected and Autonomous Vehicles," 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022, pp. 790-795, doi: 10.23919/DATE54114.2022.9774594.</p>
Mehrabi et al. 2022. Research priorities for global food security under extreme events. Supplementary data and code.
<p>Data and script for reproducing the final results shown in Mehrabi et al., Research priorities for global food security under extreme events, One Earth (2022), https://doi.org/10.1016/j.oneear.2022.06.008.</p> <p>Simply download and read the Mehrabi2022_EEGFS.pdf or the Mehrabi2022_EEGFS.Rmd file from which it was created.</p>
Dataset of answers to the Questionnaire "Climate changes, migrations, security: the role of Municipalities"
<p>Results of a statistical questionnaire addressed to Sardinian Mayors in order to understand the Local Authorities' position with regard to migration flows, security and their nexus with climate change.</p>
Dataset for "Secure and Dependable Multi-Cloud Network Virtualization"
<p>Processed data from experiments using Sirius, the SUPERCLOUD network hypervisor</p> <p>Type of data: processed data</p> <p>Hardware/software used:</p> <p>We use one public (Amazon EC2 in Germany – Frankfurt) and one private (the private cloud is our datacenter in Portugal – Lisbon) clouds in the evaluation. In Amazon EC2 we use t2.medium as gateway VMs and t2.micro as normal VMs. The private cloud is based on a rack of Dell R420, with 2 Intel Xeon E5520 quad-core, 2.2 GHz, and 32 GB RAM. VirtualBox managed the VMs, which were configured</p> <p>with 1 CPU and 2GB RAM. The VMs run Ubuntu with Docker (1.13.1) and OvS (2.5.0). The containers were also based in Ubuntu. The hypervisor was hosted in the server of the private Datacenter.</p> <p>Data Format: Text files</p> <p>Source: Simulations and experiments</p> <p>Number of samples: 10 samples in each experiment</p> <p>Total size of samples:</p> <p>Time to create and destroy containers: 1KB</p> <p>Time to setup a virtual network: 1KB</p> <p> </p>
SECURE Deliverable 2.1: Annex 3 of First Draft of SECURE Research Career Framework
<p>This data is Annex 3 of the First Draft of SECURE Research Career Framework [<a title=" First Draft of SECURE Research Career Framework" href="../records/10958921" target="_blank" rel="noopener">https://zenodo.org/records/10958921</a>].</p> <p>The data is available as a Microsoft Excel file (xlsx) or alternatively as separate files for each tab of the Excel file as CSV (comma-separated values) files.</p>
Literature Search from SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks
<p>SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks (<a title="SECURE Deliverable 1.1: STATE-OF-THE-ART on Research Career Frameworks" href="../doi/10.5281/zenodo.10066374">https://zenodo.org/doi/10.5281/zenodo.10066374</a>) included a State-of-the-Art on existing literature and recommendations related to research career frameworks (RCFs) and focusing on recruitment and working conditions for researchers, career development and progression for researchers, and interinstitutional (between academic institutions), intersectoral (across sectors), and international (across countries) mobility.</p> <p>The literature review data for is available as:</p> <ul> <li>an online library on Zotero - <a href="https://www.zotero.org/groups/5436703/secure_project_library/library">https://www.zotero.org/groups/5436703/secure_project_library/library</a></li> <li>Microsoft Excel files (xlsx) and</li> <li>CSV (comma-separated values) files.</li> </ul> <p>The selected literature is separated into the following headings:</p> <ul> <li>Career Development and Progression for Researchers</li> <li>Interinstitutional, Intersectoral, and International Mobility</li> <li>Recruitment and Employment Conditions for Researchers</li> <li>Research Career Frameworks</li> </ul>
Literature Search from SECURE Deliverable 1.2: STATE-OF-THE-ART on Tenure Track-Like Models
<p>SECURE Deliverable 1.2: STATE-OF-THE-ART on Tenure Track-Like Models (<a title="SECURE Deliverable 1.2: STATE-OF-THE-ART on Tenure Track-Like Models" href="https://doi.org/10.5281/zenodo.10066388">https://doi.org/10.5281/zenodo.10066388</a>) included a State-of-the-Art on Tenure Track-Like Models.</p> <p>The literature review data is available as:</p> <ul> <li>an online library on Zotero - <a href="https://www.zotero.org/groups/5436703/secure_project_library/library">https://www.zotero.org/groups/5436703/secure_project_library/library</a></li> <li>Microsoft Excel files (xlsx) and</li> <li>CSV (comma-separated values) files.</li> </ul> <p>The selected literature is separated into the following headings:</p> <ul> <li>Career development and assessment for tenure track-like models</li> <li>Overall Literature for Tenure Track-Like Model</li> <li>Review of Funding Schemes for Tenure Track-Like Models</li> <li>Review of recruitment and employment conditions for tenure track-like models</li> </ul>
Global Health Security (GHS) Tracking dataset
<div> <p>The Global Health Security Tracking (GHS) dataset is a research effort led by Dr. Rebecca Katz and Dr. Ellie Graeden at the Georgetown University Center for Global Health Science and Security. The dataset was developed to provide a shared resource to map the flow of disbursed funds for global health security. GHS Tracking allows both funders and recipients to identify gaps and prioritize future investments, and helps to highlight the ways in which funds can be allocated most effectively to have the greatest impact. The dataset and platform serve as a basis for mutual accountability within the global health security community, promoting public accounting, and providing an opportunity for countries, organizations, and other funders to showcase their successes and identify priorities for future investments.</p> <p>GHS Tracking aggregates publicly reported financial disbursements from funders to recipients for activities related to global health security, from January 2014 and December 2022, reported in nominal U.S. dollars.<strong> </strong>This effort draws from a large number of <a href="https://tracking.ghscosting.org/about/data-sources/">data sources</a>, each with varying reporting standards, methods of summarizing, and levels of metadata quality. To learn more, visit our <a href="https://tracking.ghscosting.org/about/methods/">methods documentation</a> or read the attached Technical Appendix. To see how our team and other researchers have used the data, check out the publications <a href="https://tracking.ghscosting.org/about/publications/">here</a>.</p> <p>The GHS Tracking dataset can be explored, visualized, and downloaded from <a href="tracking.ghscosting.org">tracking.ghscosting.org</a>. Data can also be accessed in CSV format on this page. In addition to the Technical Appendix, there are two data files available for download:</p> <ul> <li>Funding distributed from 2014 – 2022 for each of the Joint External Evaluation (JEE) core capacities</li> <li>Funding distributed from 2014 – 2022 for each of the WHO public health emergencies of international concern (PHEIC)</li> </ul> <p>Funding is reported as the total amount received and disbursed by each stakeholder entity per year in nominal U.S. dollars. <strong>The data should not be used without special attention to the <a href="https://tracking.ghscosting.org/about/data-limitations/">limitations</a>. </strong></p> <p>Please use the citation on this page to cite these data and contact us at <a href="mailto:globalhealthsecurity@georgetown.edu">globalhealthsecurity@georgetown.edu</a> so that we can showcase your work on the site!</p> </div>
Energy Security: Global analysis of Energy Matrix demand Mozambique case
<p>Energy system modelling, energy security, energy transition, renewable <br>energy, climate change, OSeMOSYS. </p>
Dataset for Securing the Sky: Detecting Aircraft Location Drifting through Cross-Checking Receiver-Based Estimated and Received ADS-B Trajectories
<p>Dataset utilized for our tested data in our accepted paper "Securing the Sky: Detecting Aircraft Location Drifting through Cross-Checking Receiver-Based Estimated and Received ADS-B Trajectories"</p>
Dataset: Carlyle Secured Lending, Inc. 8.20% Notes due 2028 (CGBDL) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Carlyle Secured Lending, Inc. (CGBD) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Vanguard Short-Term Inflation-Protected Securities Index Fund ETF Shares (VTIP) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Vanguard Mortgage-Backed Securities Index Fund ETF Shares (VMBS) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: United Security Bancshares (UBFO) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Strattec Security Corporation (STRT) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: SMX (Security Matters) Public Limited Company (SMXWW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
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.