Automated Author ProfileStangeew, Elena
Stangeew, Elena
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 5112.1 (sum of 189 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Measuring temperature and salinity profiles in the world's oceans is crucial to understanding ocean dynamics and its influence on the heat budget, the water cycle, the marine environment and on our climate. Since 1983 the German research vessel and icebreaker Polarstern has been the platform of numerous CTD (conductivity, temperature, depth instrument) deployments in the Arctic and the Antarctic. We report on a unique data collection spanning 33 years of polar CTD data. In total 131 data sets (1 data set per cruise leg) containing data from 10 063 CTD casts are now freely available. During this long period five CTD types with different characteristics and accuracies have been used. Therefore the instruments and processing procedures (sensor calibration, data validation, etc.) are described in detail. This compilation is special not only with regard to the quantity but also the quality of the data - the latter indicated for each data set using defined quality codes. The complete data collection includes a number of repeated sections for which the quality code can be used to investigate and evaluate long-term changes. Beginning with 2010, the salinity measurements presented here are of the highest quality possible in this field owing to the introduction of the OPTIMARE Precision Salinometer.
Authors
- Rohardt, Gerd ;
- Fahrbach, Eberhard ;
- Beszczynska-Möller, Agnieszka ;
- Boetius, Antje ;
- Brunßen, Jutta ;
- Budéus, Gereon ;
- Cisewski, Boris ;
- Engbrodt, Ralph ;
- Gauger, Steffen ;
- Geibert, Walter ;
- Geprägs, Patrizia ;
- Gerdes, Dieter ;
- Gersonde, Rainer ;
- Gordon, Arnold L ;
- Hellmer, Hartmut H ;
- Isla, Enrique ;
- Jacobs, Stanley S ;
- Janout, Markus A ;
- Jokat, Wilfried ;
- Klages, Michael ;
- Kuhn, Gerhard ;
- Meincke, Jens ;
- Ober, Sven ;
- Østerhus, Svein ;
- Peterson, Ray G ;
- Rabe, Benjamin ;
- Rudels, Bert ;
- Schauer, Ursula ;
- Schröder, Michael ;
- Sildam, Jüri ;
- Soltwedel, Thomas ;
- Stangeew, Elena ;
- Stein, Manfred ;
- Strass, Volker H ;
- Thiede, Jörn ;
- Tippenhauer, Sandra ;
- Veth, Cornelis ;
- von Appen, Wilken-Jon ;
- Weirig, Marie-France ;
- Wisotzki, Andreas ;
- Wolf-Gladrow, Dieter A ;
- Kanzow, Torsten
No description available
Authors
- Stangeew, Elena
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Authors
- Stangeew, Elena
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- Stangeew, Elena
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Authors
- Stangeew, Elena
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Authors
- Stangeew, Elena
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Authors
- Stangeew, Elena
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Authors
- Stangeew, Elena
No description available
Authors
- Stangeew, Elena