Automated Author ProfileAlmeida, Luís
Universidade do Porto Faculdade de Engenharia0000-0002-9544-3028
Almeida, Luís
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: 1.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Aquatic environments impose challenging conditions for signal propagation, impairing ubiquitous connectivity between (IoT) nodes resulting in degraded application performance. This dataset gathers information on the channel characteristics at 2.4 GHz between two shore nodes (shore-to-shore communications) operating over an intertidal zone with significant water level variations. The measurement campaign was conducted during the ebb period in the northern part of the coastal lagoon-estuarine system of Ria de Aveiro (Carregal, Ovar, Portugal) during May 2021. Additional details on the data gathering procedure and a complete data description are provided in the following paper:- Pedro M. d'Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João B. Sousa, Luís Almeida, Assessing Short-Range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications, Computer Networks, xxxx
Authors
- d'Orey, Pedro ;
- Gaitan, Miguel ;
- Santos, Pedro ;
- Ribeiro, Manuel ;
- B. Sousa, João ;
- Almeida, Luís
Aquatic environments impose challenging conditions for signal propagation, impairing ubiquitous connectivity between (IoT) nodes resulting in degraded application performance. This dataset gathers information on the channel characteristics at 2.4 GHz between two shore nodes (shore-to-shore communications) operating over an intertidal zone with significant water level variations. The measurement campaign was conducted during the ebb period in the northern part of the coastal lagoon-estuarine system of Ria de Aveiro (Carregal, Ovar, Portugal) during May 2021. Additional details on the data gathering procedure and a complete data description are provided in the following paper:- Pedro M. d'Orey, Miguel Gutiérrez Gaitán, Pedro M. Santos, Manuel Ribeiro, João B. Sousa, Luís Almeida, Assessing Short-Range Shore-to-Shore (S2S) and Shore-to-Vessel (S2V) WiFi Communications, Computer Networks, xxxx
Authors
- d'Orey, Pedro ;
- Gaitan, Miguel ;
- Santos, Pedro ;
- Ribeiro, Manuel ;
- B. Sousa, João ;
- Almeida, Luís