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Department of History, University of Zurich, Switzerland

Current S-Index

4.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

4

Total datasets in this organization

Average FAIR Score

44.2%

Average FAIR Score per dataset

Total Citations

0

Total citations to the organization's datasets

Total Mentions

1

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 "From pandemic to endemic: Spatial-temporal patterns of influenza-like-illness incidence in a Swiss canton, 1918-1924"

Datasets underlying the analysis of the paper: "From pandemic to endemic: Spatial-temporal patterns of influenza incidence in a Swiss canton, 1918-1924" Cofactors_1918.xlsx : Ecological cofactors for each bernese municipility Data_Influenza_Bern.xlsx: Influenza data (1920-1924) Data_Spanishflu.xlsx: "Spanish flu" data (1918-1919) Data_Population.xlsx: Population for each municipality Tb_death.xlsx : Number of tuberculosis death Fabrik_Statistik_1929.xlsx : Information about the factories

Authors

  • Staub, Kaspar ;
  • Floris, Joël ;
  • Matthes, Katarina L. ;
  • Grübner, Oliver ;
  • Gemperle, Gina ;
  • Bernhard, Marco ;
  • Leuch, Corina
0 Citations1 Mention13% FAIR0.7 Dataset Index
10.5281/zenodo.7506206January 2023

Data for "From pandemic to endemic: Spatial-temporal patterns of influenza-like-illness incidence in a Swiss canton, 1918-1924"

Datasets underlying the analysis of the paper: "From pandemic to endemic: Spatial-temporal patterns of influenza incidence in a Swiss canton, 1918-1924" Cofactors_1918.xlsx : Ecological cofactors for each bernese municipility Data_Influenza_Bern.xlsx: Influenza data (1920-1924) Data_Spanishflu.xlsx: "Spanish flu" data (1918-1919) Data_Population.xlsx: Population for each municipality Tb_death.xlsx : Number of tuberculosis death Fabrik_Statistik_1929.xlsx : Information about the factories

Authors

  • Staub, Kaspar ;
  • Floris, Joël ;
  • Matthes, Katarina L. ;
  • Grübner, Oliver ;
  • Gemperle, Gina ;
  • Bernhard, Marco ;
  • Leuch, Corina
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.5281/zenodo.7506205January 2023

Data for "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"

Dataset underlying the analysis of the paper: "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers" The dataset includes the following variables: Sex - male, female Age2 - age in full years Grippe - influenza (oui = yes, non=no) Times_grippe - how often did the influenza occur (0-3) Reinfection - 0=no, 1=yes Reinfection_forte - was the reinfection stronger or the same (1) or weaker (0) as the first infection? Severeness - 1=mild, 2 and 3 = strong reinf_v1 - reinfection first wave 0=no, 1=yes vage1 - infection first wave 0=no, 1=yes reinf_v2 - reinfection second wave 0=no, 1=yes vage2 - infection second wave 0=no, 1=yes reinf_v3 - reinfection third wave 0=no, 1=yes vage3 - infection third wave 0=no, 1=yes reinf_y1919 - reinfection winter 1919 0=no, 1=yes vage_1919 - infection winter 1919 0=no, 1=yes Grippe1890 - illness 1890 0=no, 1=yes

Authors

  • Matthes, Katarina L ;
  • Vu, Mathilde Le ;
  • Galliker, Antonia ;
  • Floris, Joël ;
  • Staub, Kaspar
0 Citations0 Mentions77% FAIR1.7 Dataset Index
10.5281/zenodo.7274470November 2022

Data for "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers"

Dataset underlying the analysis of the paper: "Reinfections and cross-protection in the 1918/19 influenza pandemic: Revisiting a survey among male and female factory workers" The dataset includes the following variables: Sex - male, female Age2 - age in full years Grippe - influenza (oui = yes, non=no) Times_grippe - how often did the influenza occur (0-3) Reinfection - 0=no, 1=yes Reinfection_forte - was the reinfection stronger or the same (1) or weaker (0) as the first infection? Severeness - 1=mild, 2 and 3 = strong reinf_v1 - reinfection first wave 0=no, 1=yes vage1 - infection first wave 0=no, 1=yes reinf_v2 - reinfection second wave 0=no, 1=yes vage2 - infection second wave 0=no, 1=yes reinf_v3 - reinfection third wave 0=no, 1=yes vage3 - infection third wave 0=no, 1=yes reinf_y1919 - reinfection winter 1919 0=no, 1=yes vage_1919 - infection winter 1919 0=no, 1=yes Grippe1890 - illness 1890 0=no, 1=yes

Authors

  • Matthes, Katarina L ;
  • Vu, Mathilde Le ;
  • Galliker, Antonia ;
  • Floris, Joël ;
  • Staub, Kaspar
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.5281/zenodo.7274469November 2022