Automated Author ProfileSage, Jérémie
Cerema, Equipe TEAM0000-0002-7747-9000
Sage, Jérémie
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: 1.6 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
OverviewThe dataset consists of hydrological observations from a 2.300 m² landscaped detention basin (“Jardin Argenté”) located in Gif-sur-Yvette (France), within the Paris-Saclay science and technology cluster. The basin collects discharge from a 20.000 m² building, as well as runoff from adjacent impervious and pervious surfaces (2.000 m² and 10.500 m², respectively). It is situated on a silt-clay plateau overlying a shallow, nearly outcropping aquifer.The monitoring covers a 4-year period and aims to establish the system’s water budget in relation to local meteorological conditions – recorded by a local rain gauge and potential evapotranspiration (PET) calculated from data provided by the SIRTA observatory – as well as nearby groundwater measurements. Hydrological monitoring within the system includes continuous measurements of inflow, outflow, surface storage, and soil moisture at fine time steps (ranging from 1 to 15 minutes).The dataset contributes to a broader collection of datasets on stormwater nature-based solutions established as part of the EU-funded GreenStorm project (DUT Call 2022). AcknowledgementsThe instrumentation and data collection were financially supported by the Etablissement Public d’Aménagement Paris-Saclay.The authors gratefully acknowledge SIRTA for providing the climate data (rainfall, air temperature and humidity, solar radiation, and wind speed measurements) used for the calculation of PET in this dataset. Earthworm counts and infiltration measurements from the 2019 campaign (provided as supplementary data) were conducted by C. Neaud, J. Amossé and colleagues (Cerema).
Authors
- Sage, Jérémie ;
- Berthier, Emmanuel ;
- Gallis, Didier ;
- Chin, Phalkun ;
- Payet, Cédric
OverviewThe dataset consists of hydrological observations from a 2.300 m² landscaped detention basin (“Jardin Argenté”) located in Gif-sur-Yvette (France), within the Paris-Saclay science and technology cluster. The basin collects discharge from a 20.000 m² building, as well as runoff from adjacent impervious and pervious surfaces (2.000 m² and 10.500 m², respectively). It is situated on a silt-clay plateau overlying a shallow, nearly outcropping aquifer.The monitoring covers a 4-year period and aims to establish the system’s water budget in relation to local meteorological conditions – recorded by a local rain gauge and potential evapotranspiration (PET) calculated from data provided by the SIRTA observatory – as well as nearby groundwater measurements. Hydrological monitoring within the system includes continuous measurements of inflow, outflow, surface storage, and soil moisture at fine time steps (ranging from 1 to 15 minutes).The dataset contributes to a broader collection of datasets on stormwater nature-based solutions established as part of the EU-funded GreenStorm project (DUT Call 2022). AcknowledgementsThe instrumentation and data collection were financially supported by the Etablissement Public d’Aménagement Paris-Saclay.The authors gratefully acknowledge SIRTA for providing the climate data (rainfall, air temperature and humidity, solar radiation, and wind speed measurements) used for the calculation of PET in this dataset. Earthworm counts and infiltration measurements from the 2019 campaign (provided as supplementary data) were conducted by C. Neaud, J. Amossé and colleagues (Cerema).
Authors
- Sage, Jérémie ;
- Berthier, Emmanuel ;
- Gallis, Didier ;
- Chin, Phalkun ;
- Payet, Cédric
The pilot facility is a cylindrical-shaped bioretention system with 7 m2 of surface area. It consists of the following layers: vegetated surface depression (20 cm), filter substrate (45-58 cm, sandy loam), transition (10 cm, sand), drainage (8 cm on average, gravel, DN100 drain pipe slotted on the top 1/3), and gravel storage (42 cm, bottom connects to the native clay soil) from top to bottom. It receives stormwater runoff from an 85 m² asphalt pavement, the equivalent annual rainfall loading is 3.57 meters per year (received water being distributed over the garden surface based on data during 2023).The data was collected under the frame of the OPUR observatory of urban hydrology (https://www.leesu.fr/opur/), with a specific support from Ville de Paris.
Authors
- Huang, Tinghao ;
- Dubois, Philippe ;
- Ulanowski, Yan ;
- ZIME YERIMA, Hayath ;
- Sage, Jeremie ;
- Técher, Didier ;
- LAPORTE, Stéphane ;
- GROMAIRE, Marie-Christine
The pilot facility is a cylindrical-shaped bioretention system with 7 m2 of surface area. It consists of the following layers: vegetated surface depression (20 cm), filter substrate (45-58 cm, sandy loam), transition (10 cm, sand), drainage (8 cm on average, gravel, DN100 drain pipe slotted on the top 1/3), and gravel storage (42 cm, bottom connects to the native clay soil) from top to bottom. It receives stormwater runoff from an 85 m² asphalt pavement, the equivalent annual rainfall loading is 3.57 meters per year (received water being distributed over the garden surface based on data during 2023).The data was collected under the frame of the OPUR observatory of urban hydrology (https://www.leesu.fr/opur/), with a specific support from Ville de Paris.
Authors
- Huang, Tinghao ;
- Dubois, Philippe ;
- Ulanowski, Yan ;
- ZIME YERIMA, Hayath ;
- Sage, Jeremie ;
- Técher, Didier ;
- LAPORTE, Stéphane ;
- GROMAIRE, Marie-Christine