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2,281 to 2,290 of 9,175 Results
Commensal small mammal trapping data in Northern Senegal, 2011-2014
Commensal small mammal trapping data in Northern Senegal, 2011-2014
Jan 26, 2024 - UMR CBGP
Brouat, Carine; Fossati, Odile; Sarr, Nathalie; Dalecky, Ambroise, 2024, "Commensal small mammal trapping data in Northern Senegal, 2011-2014", https://doi.org/10.23708/EI4APL, DataSuds, V1, UNF:6:hXm+1PHo1Uza6zupa8hXvQ== [fileUNF]
Data were collected as part of the ANR project ENEMI, which aimed at investigating the role of parasitism and immunology in the invasion success of the house mouse Mus musculus domesticus in Senegal. They were issued from 6 field campaigns conducted between November 2011 and July...
1_ReadMe.txt
Jan 26, 2024 - Commensal small mammal trapping data in Northern Senegal, 2011-2014
Plain Text - 2.2 KB - MD5: c175bec7c2204bb90aae6a9c6746581b
Documentation
ReadMe file with citation, description and terms of use
Commensal_small_mammals_northernSenegal_2011-2014_data_dictionary.tab
Jan 26, 2024 - Commensal small mammal trapping data in Northern Senegal, 2011-2014
Tabular Data - 3.8 KB - 12 Variables, 46 Observations - UNF:6:Y8QiDpeA0XEcQ9GQhgg+yg==
Documentation
Data and code dictionary
Commensal_small_mammals_northernSenegal_2011-2014_Data.tab
Jan 26, 2024 - Commensal small mammal trapping data in Northern Senegal, 2011-2014
Tabular Data - 1.4 MB - 23 Variables, 9807 Observations - UNF:6:W95kBA93BelBD09IMM5cHw==
DataSurvey
Results of small mammal trapping in commensal habitat, northern Senegal 2011-2014
Commensal_small_mammals_northernSenegal_2011-2014_locality.tab
Jan 26, 2024 - Commensal small mammal trapping data in Northern Senegal, 2011-2014
Tabular Data - 1.7 KB - 4 Variables, 54 Observations - UNF:6:wsTLCOpTNWNA8eF+B63hHw==
Documentation
Locality numbers
Fig1_Trappingresults.pdf
Fig1_Trappingresults.pdf
Jan 26, 2024 - Commensal small mammal trapping data in Northern Senegal, 2011-2014
Adobe PDF - 3.4 MB - MD5: c4a66da2e584e0fd00ea01ee87871fae
Documentation
Relative frequencies of the small mammals caught in each of the 54 localities sampled. Locality numbers are listed in the excel file that describes the data.
mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Jan 23, 2024 - UMR INTERTRYP
Manzanilla, Vincent; Barnabé, Christian; Guilhem, Sempéré; Millan, Joel Moo; Waleckx, Etienne, 2024, "mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms", https://doi.org/10.23708/W3TODJ, DataSuds, V2
Test data for the mbctools wrapper. Context and description: Chagas disease (CD) is a zoonotic parasitic disease caused by Trypanosoma cruzi, mainly transmitted to mammals through feces and urine of triatomines known as kissing bugs (Hemiptera: Reduviidae). Triatoma dimidiata is...
fastq_R1.tar.gz
Jan 23, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 558.2 MB - MD5: 181f80b886dcfba37b26daf41be1d4b6
R1 reads, meant to sit in the same folder as R2 reads
fastq_R2.tar.gz
Jan 23, 2024 - mbctools: A User-Friendly Metabarcoding and Cross-Platform Pipeline for Analyzing Multiple Amplicon Sequencing Data across a Large Diversity of Organisms
Gzip Archive - 876.3 MB - MD5: eee9a1bc22a95da1d5d17e1fe31cec0d
R2 reads, meant to sit in the same folder as R1 reads
Occupation/usage du sol, Camopi, 2006
Jan 22, 2024 - UMR ESPACE-DEV
Roux, Emmanuel, 2024, "Occupation/usage du sol, Camopi, 2006", https://doi.org/10.23708/d9a7c456-a6f6-4412-95fd-e1c764b52d59, DataSuds-geo
Carte d'occupation du sol de Camopi ayant servi dans Girod et al. (Girod et al., Annals of Tropical Medicine and Prasitology, 105 (2), 2011) et Roux et al. (Roux et al., SELPER, 2012), réalisée à partir d'une image SPOT5 couleur datant du 20/08/2006 (voir "description sommaire de...
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
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