Automated Organization ProfileConsejo Superior de Investigaciones Cientificas
Consejo Superior de Investigaciones Cientificas
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: 30.5 (sum of 23 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset includes: (1) snow-covered area (SCA) measurements (km²) obtained between 2000 and 2020 in the Toconao sub-basin, located within the Salar de Atacama Basin (Chile); and (2) meteorological and hydrological input and output data corresponding to three hydrological years (from 1 May 2016 to 30 April 2019), generated using the Cold Regions Hydrological Modelling Platform (CRHM). The dataset is analysed and interpreted in the article entitled “Snowmelt and Groundwater Recharge in an Arid Andean Basin: The Case of the Salar de Atacama, Chile.”
Authors
- Valdivielso, Sonia ;
- Lopez-Moreno, Juan Ignacio ;
- Custodio, Emilio ;
- Criollo Manjarrez, Rotman ;
- Pomeroy, John ;
- Hassanzadeh, Ashkan ;
- Krogh, Sebastián A. ;
- Vázquez-Suñé, Enric
This dataset includes: (1) snow-covered area (SCA) measurements (km²) obtained between 2000 and 2020 in the Toconao sub-basin, located within the Salar de Atacama Basin (Chile); and (2) meteorological and hydrological input and output data corresponding to three hydrological years (from 1 May 2016 to 30 April 2019), generated using the Cold Regions Hydrological Modelling Platform (CRHM). The dataset is analysed and interpreted in the article entitled “Snowmelt and Groundwater Recharge in an Arid Andean Basin: The Case of the Salar de Atacama, Chile.”
Authors
- Valdivielso, Sonia ;
- Lopez-Moreno, Juan Ignacio ;
- Custodio, Emilio ;
- Criollo Manjarrez, Rotman ;
- Pomeroy, John ;
- Hassanzadeh, Ashkan ;
- Krogh, Sebastián A. ;
- Vázquez-Suñé, Enric
CERVIFIED-Database
Authors
- Aniceti, Veronica ;
- Rizzetto, Mauro
CERVIFIED-Database
Authors
- Aniceti, Veronica ;
- Rizzetto, Mauro
CERVIFIED-Database
Authors
- Aniceti, Veronica ;
- Rizzetto, Mauro
This dataset includes agronomic, climatic, thermal and spectral information from field experiments conducted in Aranjuez (Central Spain) with winter wheat (Triticum aestivum L.) in 2018 and 2019. The total number of experiments was two, and each experiment comprises 32 plots with various combinations of water (2 levels) and nitrogen (4 levesl) applications. The agronomic data are summarized in an Excel file and contains the biomass, nitrogen concentration and content in the biomass, the shoot biomass, the shoot biomass nitrogen concentration and content, the spikes biomass, the spikes biomass nitrogen concentration and content, and the nitrogen nutrition index (NNI) at various dates. This crop file also contains the crop yield, protein content and N exported in the wheat grain (N output) at harvest in July.The thermal and spectral file includes the average canopy temperature and the average spectral reflectance from each plot at various dates. The weather data file includes the main climate variables registered in a meteorological station located on the farm.+ Value of the data:Data relating agronomic and sensor information from wheat under different nitrogen and water conditions will be useful for understanding crop performance and optimizing irrigation and nitrogen fertilization. The data on nitrogen nutrition index (NNI) are particularly valuable because there is a need to relate solid nutritional indicators with remote sensing data. + Detailed description:The file ‘Crop_agronomic_data_wheat.xlsx’ contains the specific date in which each sample was taken, the N and water level, the dry biomass (kg dm/ha), the N concentration (%) and N content (kg N/ha) of the aerial biomass, the shoot biomass (kg dm/ha) with its N concentration (%) and N content (kg N/ha), the spike biomass (kg dm/ha) with its N concentration (%) and N content (kg N/ha), the NNI adjusted and the NNI calculated following Justes equation. In addition, the dataset contains the wheat grain yield (kg dm/ ha), grain N concentration (%) and grain content or N output (kg N ha/1) at harvest in the two years were recorded. The file ‘Crop_Reflectance_temp_from_Plane.xlsx’ contains the average canopy temperature (ºC) and the average spectral reflectance from each plot at various dates. The values were obtained from the airborne images acquired with thermal and hyperspectral cameras mounted on a plane that flight at 300 m over the experiment in March, April and May. The original images are available under reasonable request to the authors.The ‘Weather_Data_Aranjuez_01_01_2018_31_12_2020’ file includes the main climate variables registered in a meteorological station located on the farm.More detail about these data can be found in the article entitled ' Simultaneous assessment of nitrogen and water status in winter wheat using hyperspectral and thermal sensors’ published in European Journal of Agronomy (vol. 127, p. 126287) by Pancorbo et al. in 2021.
Authors
- Quemada, Miguel ;
- Pancorbo, Jose Luis ;
- Alonso-Ayuso, María ;
- Raya-Sereno, María Dolores ;
- Gabriel, Jose Luis ;
- Camino, Carlos ;
- Zarco-Tejada, Pablo
This dataset includes agronomic, climatic, thermal and spectral information from field experiments conducted in Aranjuez (Central Spain) with winter wheat (Triticum aestivum L.) in 2018 and 2019. The total number of experiments was two, and each experiment comprises 32 plots with various combinations of water (2 levels) and nitrogen (4 levesl) applications. The agronomic data are summarized in an Excel file and contains the biomass, nitrogen concentration and content in the biomass, the shoot biomass, the shoot biomass nitrogen concentration and content, the spikes biomass, the spikes biomass nitrogen concentration and content, and the nitrogen nutrition index (NNI) at various dates. This crop file also contains the crop yield, protein content and N exported in the wheat grain (N output) at harvest in July.The thermal and spectral file includes the average canopy temperature and the average spectral reflectance from each plot at various dates. The weather data file includes the main climate variables registered in a meteorological station located on the farm.+ Value of the data:Data relating agronomic and sensor information from wheat under different nitrogen and water conditions will be useful for understanding crop performance and optimizing irrigation and nitrogen fertilization. The data on nitrogen nutrition index (NNI) are particularly valuable because there is a need to relate solid nutritional indicators with remote sensing data. + Detailed description:The file ‘Crop_agronomic_data_wheat.xlsx’ contains the specific date in which each sample was taken, the N and water level, the dry biomass (kg dm/ha), the N concentration (%) and N content (kg N/ha) of the aerial biomass, the shoot biomass (kg dm/ha) with its N concentration (%) and N content (kg N/ha), the spike biomass (kg dm/ha) with its N concentration (%) and N content (kg N/ha), the NNI adjusted and the NNI calculated following Justes equation. In addition, the dataset contains the wheat grain yield (kg dm/ ha), grain N concentration (%) and grain content or N output (kg N ha/1) at harvest in the two years were recorded. The file ‘Crop_Reflectance_temp_from_Plane.xlsx’ contains the average canopy temperature (ºC) and the average spectral reflectance from each plot at various dates. The values were obtained from the airborne images acquired with thermal and hyperspectral cameras mounted on a plane that flight at 300 m over the experiment in March, April and May. The original images are available under reasonable request to the authors.The ‘Weather_Data_Aranjuez_01_01_2018_31_12_2020’ file includes the main climate variables registered in a meteorological station located on the farm.More detail about these data can be found in the article entitled ' Simultaneous assessment of nitrogen and water status in winter wheat using hyperspectral and thermal sensors’ published in European Journal of Agronomy (vol. 127, p. 126287) by Pancorbo et al. in 2021.
Authors
- Quemada, Miguel ;
- Pancorbo, Jose Luis ;
- Alonso-Ayuso, María ;
- Raya-Sereno, María Dolores ;
- Gabriel, Jose Luis ;
- Camino, Carlos ;
- Zarco-Tejada, Pablo
This dataset contains model post-processed data supporting results and main text Figures of the article "Role of the stratosphere in the global mercury cycle" by Saiz-Lopez et al., in Science Advances.
Authors
- Saiz-Lopez, Alfonso ;
- Cuevas, Carlos A. ;
- Fernandez, Rafael Pedro
This dataset contains model post-processed data supporting results and main text Figures of the article "Role of the stratosphere in the global mercury cycle" by Saiz-Lopez et al., in Science Advances.
Authors
- Saiz-Lopez, Alfonso ;
- Cuevas, Carlos A. ;
- Fernandez, Rafael Pedro
This dataset contains model post-processed data and observational datasets supporting main text Figures and Tables of the article "Arctic halogens reduce ozone in the northern mid-latitudes" by Fernandez et al., PNAS, 2024. The complete dataset generated during the current study is available from the corresponding author upon request.
Authors
- Fernandez, Rafael Pedro ;
- Berna, Lucas ;
- Tomazzeli, Orlando ;
- Saiz-Lopez, Alfonso