51 to 60 of 147 Results
1 juil. 2024 -
Video of rusty-spotted genets consuming bats and other prey: behaviors observed and eco-epidemiological considerations
MPEG-4 Video - 23,1 MB -
MD5: 2bb24b141410f194b62635f4695b39ec
Video 6: 8378 – Inside Boundou Cave 3 February, 2023 at 03:15 am Predatory behavior on insects in the guano litter inside the cave Very dark video. |
1 juil. 2024 -
Video of rusty-spotted genets consuming bats and other prey: behaviors observed and eco-epidemiological considerations
MPEG-4 Video - 22,7 MB -
MD5: bc41aa6deff1514d5187bf49f6e64eab
Video S1: 5058 – Inside Boundou Cave 19 June, 2022 at 05:26 am Consumption of a bat Not clear whether the bat was killed or found dead. |
1 juil. 2024 -
Video of rusty-spotted genets consuming bats and other prey: behaviors observed and eco-epidemiological considerations
MPEG-4 Video - 22,0 MB -
MD5: e448e41f5737c1eebfaeb6c786b677a9
Video S2: 6118 – Inside Boundou Cave 7 September, 2022 at 03:55 am Consumption of a bat Not clear whether the bat was killed or found dead. |
13 mars 2024 - MOOD
Rodde, Solene; Arsevska, Elena, 2024, "Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool", https://doi.org/10.18167/DVN1/W858OB, CIRAD Dataverse, V1, UNF:6:znQlsk3wqBA6ltVQzBaE3g== [fileUNF]
This repository contains the data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever identified in the news by the PADI-web media monitoring tool (https://padi-web.cirad.fr/en/) worldwide between 2018 and 2019. More prec... |
R Syntax - 9,1 KB -
MD5: 2054ae2624d4b861f1d5b3d00bce6547
This script uses a stepwise bidirectional approach to select the best covariates and the ERGM model for the network of sources and outbreaks of Avian influenza obtained from PADI-web tool between 2018 and 2019. |
Gzip Archive - 13,6 KB -
MD5: 20efd74c1e445ac9aefa33b24cda9959
This dataset consists of the links (edges) between outbreaks and sources identified in the news reports of the PADI-web media monitoring tool worldwide between 2018 and 2019 for Avian influenza. id_outbreak is the id number of each outbreak; the source is the name of the source o... |
Gzip Archive - 4,0 KB -
MD5: 79556624587853c44265e7160eb318df
This dataset contains all the network's Avian influenza outbreaks (nodes) and their attributes. id_outbreak is the id number of each outbreak; the country is the place where the outbreak occurred according to the World Organisation for Animal Health database (WOAH); observation_d... |
Tabular Data - 13,1 KB - 4 Variables, 212 Observations - UNF:6:47H3arTdhKWPnT5uMu59yg==
This dataset contains the name, the type_source, geographical_focus, and specialisation of the sources communicating on Avian influenza outbreaks |
R Syntax - 8,9 KB -
MD5: 0a30322b5b8364def1c027af499e17e6
This script uses a stepwise bidirectional approach to select the best covariates and the ERGM model for the network of sources and outbreaks of African swine fever obtained from PADI-web tool between 2018 and 2019. |
Gzip Archive - 18,5 KB -
MD5: eb1ccd35a2a1c8691d14316e208aeb9e
This dataset consists of the links (edges) between outbreaks and sources identified in the news reports of the PADI-web media monitoring tool worldwide between 2018 and 2019 for African swine fever. id_outbreak is the id number of each outbreak; the source is the name of the sour... |