Automated Author ProfileMarco, Núria
Associació Cetàcea
Marco, Núria
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: 4.3 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Acoustic recordings of bottlenose dolphins collected during boat-based encounters using HydroMoth devices and analysed with PAMGuardThis dataset comprises 8 minutes of underwater acoustic recordings of a group of bottlenose dolphins (Tursiops truncatus). The vocalisations were recorded on 1 December 2024, approximately 5.3 miles off the coast of Vilanova i la Geltrú (Catalonia, Spain), in the northwestern Mediterranean Sea. The recordings were collected during boat-based cetacean encounters using a HydroMoth recorder (AudioMoth Firmware Basic v1.11.0), with the support of team members and volunteers from the Institut de Ciències del Mar (CSIC) and Associació Cetàcea.The navigation spanned approximately 9 hours, from 2024-12-01T07:07:12 (UTC) to 2024-12-01T16:51:00 (UTC). The first visual encounter with the group of Bottlenose dolphins occurred around 09:34:00 (UTC+1). The motor was turned off after the encounter.The resulting recording were analysed using the open-source software PAMGuard (v2.02.16; DOI: 10.5281/zenodo.15056259). Whistles were classified with the ROCCA (Real-time Odontocete Call Classification Algorithm) delphinid whistle module, integrated into PAMGuard (https://github.com/ProjectROCCA/ROCCA). Clicks were manually categorized in the PAMGuard Viewer as echolocation clicks, burst-pulse sounds, or click trains. This dataset and its analysis includes comprehensive data covering the full recording session, structured according to the Darwin Core terms SamplingEvent, Occurrence, ExtendedMeasurementsAndFacts, and SimpleMultimedia.This dataset is also available through GBIF at: https://doi.org/10.15470/77bhey
Authors
- Chaparro Elias, Lydia ;
- Rodero, Carlos ;
- Marco, Núria ;
- Giralt, Oriol ;
- EMBIMOS research group (ICM-CSIC)
Acoustic recordings of bottlenose dolphins collected during boat-based encounters using HydroMoth devices and analysed with PAMGuardThis dataset comprises 8 minutes of underwater acoustic recordings of a group of bottlenose dolphins (Tursiops truncatus). The vocalisations were recorded on 1 December 2024, approximately 5.3 miles off the coast of Vilanova i la Geltrú (Catalonia, Spain), in the northwestern Mediterranean Sea. The recordings were collected during boat-based cetacean encounters using a HydroMoth recorder (AudioMoth Firmware Basic v1.11.0), with the support of team members and volunteers from the Institut de Ciències del Mar (CSIC) and Associació Cetàcea.The navigation spanned approximately 9 hours, from 2024-12-01T07:07:12 (UTC) to 2024-12-01T16:51:00 (UTC). The first visual encounter with the group of Bottlenose dolphins occurred around 09:34:00 (UTC+1). The motor was turned off after the encounter.The resulting recording were analysed using the open-source software PAMGuard (v2.02.16; DOI: 10.5281/zenodo.15056259). Whistles were classified with the ROCCA (Real-time Odontocete Call Classification Algorithm) delphinid whistle module, integrated into PAMGuard (https://github.com/ProjectROCCA/ROCCA). Clicks were manually categorized in the PAMGuard Viewer as echolocation clicks, burst-pulse sounds, or click trains. This dataset and its analysis includes comprehensive data covering the full recording session, structured according to the Darwin Core terms SamplingEvent, Occurrence, ExtendedMeasurementsAndFacts, and SimpleMultimedia.This dataset is also available through GBIF at: https://doi.org/10.15470/77bhey
Authors
- Chaparro Elias, Lydia ;
- Rodero, Carlos ;
- Marco, Núria ;
- Giralt, Oriol ;
- EMBIMOS research group (ICM-CSIC)
Acoustic recordings of bottlenose dolphins collected during boat-based encounters using HydroMoth devices and analysed with PAMGuardThis dataset comprises 8 minutes of underwater acoustic recordings of a group of bottlenose dolphins (Tursiops truncatus). The vocalisations were recorded on 1 December 2024, approximately 5.3 miles off the coast of Vilanova i la Geltrú (Catalonia, Spain), in the northwestern Mediterranean Sea. The recordings were collected during boat-based cetacean encounters using a HydroMoth recorder (AudioMoth Firmware Basic v1.11.0), with the support of team members and volunteers from the Institut de Ciències del Mar (CSIC) and Associació Cetàcea.The navigation spanned approximately 9 hours, from 2024-12-01T07:07:12 (UTC) to 2024-12-01T16:51:00 (UTC). The first visual encounter with the group of Bottlenose dolphins occurred around 09:34:00 (UTC+1). The motor was turned off after the encounter.The resulting recording were analysed using the open-source software PAMGuard (v2.02.16; DOI: 10.5281/zenodo.15056259). Whistles were classified with the ROCCA (Real-time Odontocete Call Classification Algorithm) delphinid whistle module, integrated into PAMGuard (https://github.com/ProjectROCCA/ROCCA). Clicks were manually categorized in the PAMGuard Viewer as echolocation clicks, burst-pulse sounds, or click trains. This dataset and its analysis includes comprehensive data covering the full recording session, structured according to the Darwin Core terms SamplingEvent, Occurrence, ExtendedMeasurementsAndFacts, and SimpleMultimedia.This dataset is also available through GBIF at: https://doi.org/10.15470/77bhey
Authors
- Chaparro Elias, Lydia ;
- Rodero, Carlos ;
- Marco, Núria ;
- Giralt, Oriol ;
- EMBIMOS research group (ICM-CSIC)