Automated Organization ProfileUniversidad San Pablo CEU
Universidad San Pablo CEU
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization'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: 27.8 (sum of 25 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Triceps RMS values at each follow-up time point (post) were normalized to the initial baseline (pre) by computing post/pre ratio in the FMV and control session.
Authors
- Cabezaolias, Carmen
Triceps RMS values at each follow-up time point (post) were normalized to the initial baseline (pre) by computing post/pre ratio in the FMV and control session.
Authors
- Cabezaolias, Carmen
This dataset includes transcriptome analysis data aimed at identifying differences in gene expression in tomato plants treated with biosynthesized AgNP from Pseudomonas N5.12 under drought stress conditions.Plants were treated with either bacterial filtrate (ML) or 60 ppm nanoparticles (NP60), and their gene expression profiles were compared to those of untreated control plants (Cont) under drought stress conditions.It was found that AgNPs may play a key role in stimulating the defense mechanisms of tomatoes, enhancing their drought tolerance and helping them maintain normal functioning under stress conditions.The data was collected as part of the MSCA4Ukraine project (ID: 101101923), which is funded by the European Union.
Authors
- Gutierrez-Mañero, Francisco Javier ;
- Arslan, Svitlana ;
- Ramos-Solano, Beatriz ;
- Garcia-Villaraco Velasco, Ana ;
- Lucas Garcia, Jose Antonio
This dataset includes transcriptome analysis data aimed at identifying differences in gene expression in tomato plants treated with biosynthesized AgNP from Pseudomonas N5.12 under drought stress conditions.Plants were treated with either bacterial filtrate (ML) or 60 ppm nanoparticles (NP60), and their gene expression profiles were compared to those of untreated control plants (Cont) under drought stress conditions.It was found that AgNPs may play a key role in stimulating the defense mechanisms of tomatoes, enhancing their drought tolerance and helping them maintain normal functioning under stress conditions.The data was collected as part of the MSCA4Ukraine project (ID: 101101923), which is funded by the European Union.
Authors
- Arslan, Svitlana ;
- Ramos-Solano, Beatriz ;
- Garcia-Villaraco Velasco, Ana ;
- Lucas Garcia, Jose Antonio ;
- Gutierrez-Mañero, Francisco Javier
This dataset contains all required data to reproduce the findings of An Evaluation Methodology for Machine Learning Methods for Tandem Mass Spectra Similarity Prediction.
Authors
- Strobel, Michael ;
- Gil-de-la-Fuente, Alberto ;
- Zare Shahneh, Mohammad Reza ;
- El Abiead, Yasin ;
- Bushuiev, Roman ;
- Bushuiev, Anton ;
- Wang, Mingxun
This dataset contains all required data to reproduce the findings of An Evaluation Methodology for Machine Learning Methods for Tandem Mass Spectra Similarity Prediction.
Authors
- Strobel, Michael ;
- Gil-de-la-Fuente, Alberto ;
- Zare Shahneh, Mohammad Reza ;
- El Abiead, Yasin ;
- Bushuiev, Roman ;
- Bushuiev, Anton ;
- Wang, Mingxun
El presente dataset recoge los datos el proyecto de investigación METODARQ: Metodologías para el estudio, la digitalización y la difusión del patrimonio: aplicación al caso práctico de una colección arqueológica financiado por la Fundación Universitaria San Pablo CEU en la V Convocatoria de Ayudas a Proyectos de investigación en líneas estratégicas identitarias CEU del Plan Estratégico de Investigación 2022/25 de las Universidades CEU. El dataset recoge los modelados tridimensionales de las piezas de la colección arqueológica Condes de Campo Rey donada a la Universidad San Pablo-CEU. The present dataset compiles the data from the research project METODARQ: Methodologies for the Study, Digitalization, and Dissemination of Heritage: Application to the Case Study of an Archaeological Collection, funded by the San Pablo CEU University Foundation in the 5th Call for Research Project Grants in CEU Identity Strategic Lines of the CEU Universities' 2022/25 Strategic Research Plan. The dataset includes the three-dimensional models of the pieces from the Condes de Campo Rey archaeological collection, donated to San Pablo-CEU University.4o
Authors
- Lorenzo Cueva, Covadonga ;
- Sanchiz Álvarez de Toledo, Hipólito ;
- Herrera-Gómez, Aurora
El presente dataset recoge los datos el proyecto de investigación METODARQ: Metodologías para el estudio, la digitalización y la difusión del patrimonio: aplicación al caso práctico de una colección arqueológica financiado por la Fundación Universitaria San Pablo CEU en la V Convocatoria de Ayudas a Proyectos de investigación en líneas estratégicas identitarias CEU del Plan Estratégico de Investigación 2022/25 de las Universidades CEU. El dataset recoge los modelados tridimensionales de las piezas de la colección arqueológica Condes de Campo Rey donada a la Universidad San Pablo-CEU. The present dataset compiles the data from the research project METODARQ: Methodologies for the Study, Digitalization, and Dissemination of Heritage: Application to the Case Study of an Archaeological Collection, funded by the San Pablo CEU University Foundation in the 5th Call for Research Project Grants in CEU Identity Strategic Lines of the CEU Universities' 2022/25 Strategic Research Plan. The dataset includes the three-dimensional models of the pieces from the Condes de Campo Rey archaeological collection, donated to San Pablo-CEU University.4o
Authors
- Lorenzo Cueva, Covadonga ;
- Sanchiz Álvarez de Toledo, Hipólito ;
- Herrera-Gómez, Aurora
These data correspond to characterization of the effects of silver nanoparticles coated with metabolites from the beneficial bacterium Pseudomonas N5.12 on plants and soil microbial communities. All data were obtained within the MSCA4Ukraine project (ID:101101923), funded by the European Union. The majority of the data are in comma-separated values (.csv) format and plain excel (.xls) and portable document format (.pdf).Abbreviation of sample names: NP-roots – tomato seedlings inoculated via soil drench; NP-leaves – tomato seedlings sprayed on the leaves; silver – seedlings treated with 1 mM AgNO₃; control – without treatments.
Authors
- Arslan, Svitlana ;
- Ramos-Solano, Beatriz ;
- Garcia-Villaraco Velasco, Ana ;
- Lucas Garcia, Jose Antonio ;
- Gutierrez-Mañero, Francisco Javier
These data correspond to characterization of the effects of silver nanoparticles coated with metabolites from the beneficial bacterium Pseudomonas N5.12 on plants and soil microbial communities. All data were obtained within the MSCA4Ukraine project (ID:101101923), funded by the European Union. The majority of the data are in comma-separated values (.csv) format and plain excel (.xls) and portable document format (.pdf).Abbreviation of sample names: NP-roots – tomato seedlings inoculated via soil drench; NP-leaves – tomato seedlings sprayed on the leaves; silver – seedlings treated with 1 mM AgNO₃; control – without treatments.
Authors
- Arslan, Svitlana ;
- Ramos-Solano, Beatriz ;
- Garcia-Villaraco Velasco, Ana ;
- Lucas Garcia, Jose Antonio ;
- Gutierrez-Mañero, Francisco Javier