1 to 10 of 143 Results
13 nov. 2024 -
Dataset for Evaluating location strategies in Padiweb
Adobe PDF - 221,8 KB -
MD5: 9ffd61a78a26ec0234e3d98a07fc601b
Case study Literature_2 becomes WAHIS ob_101445 |
13 nov. 2024 -
Dataset for Evaluating location strategies in Padiweb
Comma Separated Values - 33,3 KB -
MD5: 7e4d101bfdfa6a0d79ad43703e465f15
The dataset contains the values as follows:
- Source: source of the case study, as WAHIS or published article in the scientific literature
- Id_gold_standard: case study identification number as the outbreak id reported in WAHIS or ranked literature case study number
- Id_articl... |
13 nov. 2024 -
Dataset for Evaluating location strategies in Padiweb
Adobe PDF - 530,7 KB -
MD5: 4208ec19abeb7c18a3e8dc37b2b8041e
method and main results |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
R Syntax - 5,2 KB -
MD5: e97bd73475cee7da17411d007ae6b6a2
Script to add new columns inside the raw data |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
R Syntax - 15,8 KB -
MD5: fcade27129381258888f586eadec48d5
R script for selecting independent detections |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
R Syntax - 33,5 KB -
MD5: 6136eb771812742619eefa494f8799df
R script to create article figures |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
R Syntax - 24,0 KB -
MD5: 934f0b62500521ca96b5bfa8d0512c50
R script for redoing article analyses |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
Comma Separated Values - 22,9 MB -
MD5: 99c4b1c2c4a6e168ae75f1a49dbdea47
data cleaned with new columns and used in R script N°3 |
5 nov. 2024 -
Habitat sharing and interspecies interactions in caves used by bats in the Republic of Congo
Comma Separated Values - 10,1 MB -
MD5: 566e8a4f64bf836facabd58446467f03
Raw data from camera traps in the Republic of Congo after processing by Megadetector and Timelapse |
23 oct. 2024
SEA-dog-SEA is a multi-disciplinary project associating ecology, epidemiology and social sciences in order to better understand and manage the transmission of dog-associated zoonotic pathogesn in SE Asia. The project focuses on the ecological and anthropic drivers of dog movement... |