Automated Organization Profile

Tecnosylva, S.L.

Current S-Index

4.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.0

Average Dataset Index per dataset

Total Datasets

2

Total datasets in this organization

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Data for 'In temperate Europe, fire is already here: the case of the Netherlands' (Version: 1)

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.
0 Citations0 Mentions73% FAIR1.8 Dataset Index
10.5281/zenodo.100418152024

Data for 'In temperate Europe, fire is already here: the case of the Netherlands' (Version: 1)

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.
1 Citation0 Mentions73% FAIR2.1 Dataset Index
10.5281/zenodo.100418162024