Automated Organization ProfileTecnosylva, S.L.
Tecnosylva, S.L.
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: 4.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Dataset about recent wildfire statistics for the Netherlands, 2017-2022Stoof, C.R., Kok, E., Cardil Forradellas, A., M. van Marle. In temperate Europe, fire is already here: The case of The Netherlands. Ambio (2024). https://doi.org/10.1007/s13280-023-01960-yThis dataset contains:1) Data for Figure 1: Historic patterns of a) annual fire occurrence and b) annual area burned (1945-1993) and c) distribution of fire size (1978-1993) in The Netherlands. Source: IKC (1995). File names: burned_area_distribution_historic.csv, fires_1945-1993.csv2) Raw data for individual fire records, because of privacy reasons this file is limited to information regarding fire date, time, municipality, area burned by EU vegetation class, and detailed country-specific vegetation classification. File name: All_fires.csv. For information regarding the availability of other raw data please contact the corresponding author.2) KMZ files for the five largest fires since 1970 (Figure 2)3) The aggregated data based on which Figure 3 in the article is based:Temporal characteristics and other metrics of recent landscape fires in The Netherlands (2017-2022): number of fires by month and year (a), year (b), month (c), weekday (d), and time of day (e, time that fire was reported), mean fire size (f), vegetation type affected following EU classification (g), detailed vegetation type (h), and fire size distribution (i). 4) The aggregated data based on which Figure 4 in the associated article is based:Presumed fire cause (a, n=3667), number of fire engines and water tenders requested (b, for n=3583 and n=2270 fires, respectively), and estimate of suppression and restoration costs (c). **Note that while the fire cause classification in (a) follows the EU classification system, fire cause was only informally assessed, hence these data consider presumed cause only.5) A metadata file about all csv files, explaining all column names in each file
Authors
- Stoof, Cathelijne ;
- Kok, Edwin ;
- Cardil Forradellas, Adrián ;
- van Marle, Margreet J. E.
Dataset about recent wildfire statistics for the Netherlands, 2017-2022Stoof, C.R., Kok, E., Cardil Forradellas, A., M. van Marle. In temperate Europe, fire is already here: The case of The Netherlands. Ambio (2024). https://doi.org/10.1007/s13280-023-01960-yThis dataset contains:1) Data for Figure 1: Historic patterns of a) annual fire occurrence and b) annual area burned (1945-1993) and c) distribution of fire size (1978-1993) in The Netherlands. Source: IKC (1995). File names: burned_area_distribution_historic.csv, fires_1945-1993.csv2) Raw data for individual fire records, because of privacy reasons this file is limited to information regarding fire date, time, municipality, area burned by EU vegetation class, and detailed country-specific vegetation classification. File name: All_fires.csv. For information regarding the availability of other raw data please contact the corresponding author.2) KMZ files for the five largest fires since 1970 (Figure 2)3) The aggregated data based on which Figure 3 in the article is based:Temporal characteristics and other metrics of recent landscape fires in The Netherlands (2017-2022): number of fires by month and year (a), year (b), month (c), weekday (d), and time of day (e, time that fire was reported), mean fire size (f), vegetation type affected following EU classification (g), detailed vegetation type (h), and fire size distribution (i). 4) The aggregated data based on which Figure 4 in the associated article is based:Presumed fire cause (a, n=3667), number of fire engines and water tenders requested (b, for n=3583 and n=2270 fires, respectively), and estimate of suppression and restoration costs (c). **Note that while the fire cause classification in (a) follows the EU classification system, fire cause was only informally assessed, hence these data consider presumed cause only.5) A metadata file about all csv files, explaining all column names in each file
Authors
- Stoof, Cathelijne ;
- Kok, Edwin ;
- Cardil Forradellas, Adrián ;
- van Marle, Margreet J. E.