1,721,036 research outputs found
Press and Mass Communication in the Middle East : Festschrift for Martin Strohmeier
No full textThis book is a Festschrift for Professor Martin Strohmeier. It consists of various articles in German and English language on press and mass communication in the Eastern mediterranean region
Reference datasets for in-flight emergency situations
No full textMotivation
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.
The dataset complements the following publication:
Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders.
"OpenSky Report 2020: Analysing in-flight emergencies using big data".
In 2020 IEEE/AIAA 39th Digital Avionics Systems Conference (DASC), October 2020
License
See LICENSE.txt
Disclaimer
The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.
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.
Description of the dataset
Two files are provided in the dataset:
one compressed parquet file with trajectory information;
one metadata CSV file with the following features:
flight_id: a unique identifier for each trajectory;
callsign: ICAO flight callsign information;
number: IATA flight number, when available;
icao24, registration, typecode: information about the aircraft;
origin: the origin airport for the aircraft, when available;
landing: the airport where the aircraft actually landed, when available;
destination: the intended destination airport, when available;
diverted: the diversion airport, if applicable, when available;
tweet_problem, tweet_result, tweet_fueldump: 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;
avh_id, avh_problem, avh_result, avh_fueldump: 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.
The complete URL for each event is https://avherald.com/h?article={avh_id}&opt=1 (replace avh_id by the actual value)
Examples
Additional analyses and visualisations of the data are available at the following page:
Credit
If you use this dataset, please cite the original OpenSky paper:
Xavier Olive, Axel Tanner, Martin Strohmeier, Matthias Schäfer, Metin Feridun, Allan Tart, Ivan Martinovic and Vincent Lenders.
"OpenSky Report 2020: Analysing in-flight emergencies using big data".
In 2020 IEEE/AIAA 39th Digital Avionics Systems Conference (DASC), October 2020
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.
"Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research".
In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014.
and the traffic library used to derive the data:
Xavier Olive.
"traffic, a toolbox for processing and analysing air traffic data."
Journal of Open Source Software 4(39), July 2019
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Crowdsourced air traffic data from The OpenSky Network 2020 [CC-BY]
No full textMotivation
The data in this dataset is derived and cleaned from the full OpenSky dataset to illustrate the development of air traffic during the COVID-19 pandemic. It spans all flights seen by the network's more than 2500 members since 1 January 2020. More data will be periodically included in the dataset until the end of the COVID-19 pandemic.
License
Creative Commons CC-BY
The only difference with the original dataset comes from anonymised aircraft information.
Disclaimer
The data provided in the files is provided as is. Despite our best efforts at filtering out potential issues, some information could be erroneous.
Origin and destination airports are computed online based on the ADS-B trajectories on approach/takeoff: no crosschecking with external sources of data has been conducted.
Fields origin or destination are empty when no airport could be found.
Aircraft information come from the OpenSky aircraft database. Fields typecode and registration are empty when the aircraft is not present in the database.
Description of the dataset
One file per month is provided as a csv file with the following features:
callsign: the identifier of the flight displayed on ATC screens (usually the first three letters are reserved for an airline: AFR for Air France, DLH for Lufthansa, etc.)
number: the commercial number of the flight, when available (the matching with the callsign comes from public open API)
aircraft_uid: a unique anonymised identifier for aircraft;
typecode: the aircraft model type (when available);
origin: a four letter code for the origin airport of the flight (when available);
destination: a four letter code for the destination airport of the flight (when available);
firstseen: the UTC timestamp of the first message received by the OpenSky Network;
lastseen: the UTC timestamp of the last message received by the OpenSky Network;
day: the UTC day of the last message received by the OpenSky Network;
latitude_1, longitude_1, altitude_1: the first detected position of the aircraft;
latitude_2, longitude_2, altitude_2: the last detected position of the aircraft.
Examples
Possible visualisations and a more detailed description of the data are available at the following page:
Credit
If you use this dataset, please cite the original OpenSky paper:
Matthias Schäfer, Martin Strohmeier, Vincent Lenders, Ivan Martinovic and Matthias Wilhelm.
"Bringing Up OpenSky: A Large-scale ADS-B Sensor Network for Research".
In Proceedings of the 13th IEEE/ACM International Symposium on Information Processing in Sensor Networks (IPSN), pages 83-94, April 2014.
and the traffic library used to derive the data:
Xavier Olive.
"traffic, a toolbox for processing and analysing air traffic data."
Journal of Open Source Software 4(39), July 2019
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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