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Dataset results
16 results for “emergency situation”
WORK-LIFE BALANCE OF THE EMPLOYED POPULATION DURING THE EMERGENCY SITUATION OF COVID-19 IN LATVIA
<p>All the employees face the challenge of finding the right work-life balance. The ability of employees to deal with the successful combining of work, family responsibilities, and personal life is crucial for both employers and family members of employees. During the COVID-19 emergency situation, many people around the world were forced to work remotely. Initially, there were observed some certain expectations about the possibility of working from home as a positive factor that will promote work-life balance. However, over time, negative tendencies were also revealed, as employees were only one call or message away from the employer, and uncertainty and leisure time with family often created more stress. As many organizations and individuals were not ready for this sudden change, many mistakes were made, which further raised the issue of work-life balance. The aim of the research was to evaluate the flexibility of reconciling work and private life of Latvian employees in various socio-demographic groups during the COVID-19 emergency situation in spring 2020, to investigate how family life influenced employees’ ability to perform work duties, to find out if employees had any additional housework responsibilities and how their workload changed concerning housework amount during the COVID-19 emergency situation. The research is based on the data obtained in the survey of the Latvian employed population, which was conducted within the framework of the Latvian National Research Programme Project “CoLife” in the second half of 2020. As a result, the hypothesis of the research that all groups of employees experienced work-life balance difficulties during the COVID-19 emergency situation has been partially confirmed, i.e. women in the 18-44 age group and respondents with minor children in the household more likely faced difficulties of work-life balance. The scientific research methods that were used in the research are the monographic method, content analysis, survey, data processing with SPSS to determine the mutual independence of the data from the questionnaires. </p>
Assessing Challenges to Virtual Education (FACVE) in Emergency Remote Teaching Situations
Open the record for dataset details and reuse information.
Solar Disinfection (SODIS) of Drinking Water for Use in Developing Countries or in Emergency Situations
ClinicalTrials.gov study NCT01306383. IPD Sharing: Not stated. Countries: 3. Publications: 5.
Medico-social Mediation on the Prevention of the Return to Emergencies Among People in a Precarious Social Situation
ClinicalTrials.gov study NCT03660215. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Reasons of Transfer in Emergency Units of Patients in End of Life Situation.
ClinicalTrials.gov study NCT02861469. IPD Sharing: NO. Countries: 0. Publications: 2.
Prediction of the Patient Pathway in Emergency Room in an Exceptional Sanitary Situation
ClinicalTrials.gov study NCT04665778. IPD Sharing: NO. Countries: 1. Publications: 0.
Glycemic Emergency Management (GEM); An App for Rapid Response to Hypoglycemic and Hyperglycemic Situations
ClinicalTrials.gov study NCT02336217. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Study of the Diagnostic Value of "Rapid" High Throughput Genome Sequencing Analysis in Diagnostic Emergency Situations
ClinicalTrials.gov study NCT03956069. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Contribution of SuPAR for Patients in a Situation of Uncertainty Downstream of Emergencies
ClinicalTrials.gov study NCT05214534. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Management of Moderate to Severe Monotraumatic Pain With Sublingual Sufentanil in an Emergency Situation.
ClinicalTrials.gov study NCT06917651. IPD Sharing: NO. Countries: 1. Publications: 0.
Intravenous Paracetamol Versus Ketoprofen When Treating Renal Colic in Emergency Situations
ClinicalTrials.gov study NCT01685658. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Development of a Multipurpose Dashboard to Monitor the Situation of Emergency Departments
ClinicalTrials.gov study NCT06372379. IPD Sharing: YES. Countries: 0. Publications: 0.
Observation of Emergency Obstetrical Situations.
ClinicalTrials.gov study NCT03453879. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of a Musical Intervention on the Anxiety of Patients With a Diagnosis of Acute Coronary Syndrome in a Pre-Hospital Emergency Situation: MuSCA Randomized Controlled Trial
ClinicalTrials.gov study NCT06017947. IPD Sharing: NO. Countries: 1. Publications: 0.
Experiential Learning and Critical Thinking: An Exploration of the Learning Effectiveness of Using Situational Case Videos in the Application of Emergency Nursing Course
ClinicalTrials.gov study NCT06607952. IPD Sharing: NO. Countries: 1. Publications: 0.
Reference datasets for in-flight emergency situations
<p><strong>Motivation</strong></p> <p>The data in this dataset is derived and cleaned from the full OpenSky dataset in order to illustrate in-flight emergency situations triggering the 7700 transponder code. It spans flights seen by the network's more than 2500 members between 1 January 2018 and 29 January 2020.</p> <p>The dataset complements the following publication:</p> <p>Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders.<br> "OpenSky Report 2020: Analysing in-flight emergencies using big data".<br> In <em>2020 IEEE/AIAA 39th Digital Avionics Systems Conference (DASC)</em><em>,</em> October 2020</p> <p><strong>License</strong></p> <p>See LICENSE.txt</p> <p><strong>Disclaimer</strong></p> <p>The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.</p> <p>Most aircraft information come from the OpenSky aircraft database and have been filled with manual research from various sources on the Internet. Most information about flight plans has been automatically fetched and processed using open APIs; some manual processing was required to cross-check, correct erroneous and fill missing information.</p> <p><strong>Description of the dataset</strong></p> <p>Two files are provided in the dataset:</p> <ul> <li>one compressed parquet file with trajectory information;</li> <li>one metadata CSV file with the following features: <ul> <li><strong>flight_id</strong>: a unique identifier for each trajectory;</li> <li><strong>callsign</strong>: ICAO flight callsign information;</li> <li><strong>number</strong>: IATA flight number, when available;</li> <li><strong>icao24</strong>, <strong>registration</strong>, <strong>typecode</strong>: information about the aircraft;</li> <li><strong>origin</strong>: the origin airport for the aircraft, when available;</li> <li><strong>landing</strong>: the airport where the aircraft actually landed, when available;</li> <li><strong>destination</strong>: the intended destination airport, when available;</li> <li><strong>diverted</strong>: the diversion airport, if applicable, when available;</li> <li><strong>tweet_problem</strong>, <strong>tweet_result</strong>, <strong>tweet_fueldump</strong>: information extracted from Twitter accounts, about the nature of the issue, the consequence of the emergency and whether the aircraft is known to have dumped fuel;</li> <li><strong>avh_id</strong>, <strong>avh_problem</strong>, <strong>avh_result</strong>, <strong>avh_fueldump</strong>: information extracted from The Aviation Herald, about the nature of the issue, the consequence of the emergency and whether the aircraft is known to have dumped fuel.<br> The complete URL for each event is https://avherald.com/h?article={avh_id}&opt=1 (replace avh_id by the actual value)</li> </ul> </li> </ul> <p><strong>Examples</strong></p> <p>Additional analyses and visualisations of the data are available at the following page:<br> <<a href="https://traffic-viz.github.io/paper/squawk7700.html">https://traffic-viz.github.io/paper/squawk7700.html</a>></p> <p><strong>Credit</strong></p> <p>If you use this dataset, please cite the original OpenSky paper:</p> <p>Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders.<br> "OpenSky Report 2020: Analysing in-flight emergencies using big data".<br> In <em>2020 IEEE/AIAA 39th Digital Avionics Systems Conference (DASC)</em><em>,</em> October 2020</p> <p>Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.<br> "Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research".<br> In<em> Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN)</em>, pages 83-94, April 2014.</p> <p>and the traffic library used to derive the data:</p> <p>Xavier Olive.<br> "traffic, a toolbox for processing and analysing air traffic data."<br> <em>Journal of Open Source Software</em> 4(39), July 2019.</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.