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371 to 380 of 7,883 Results
Plain Text - 2.2 KB - MD5: 194c1aeb20db600322f2245d81d925f9
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Plain Text - 474 B - MD5: d48873619bfe049d0d39272e992db727
Documentation
README file describing the files included in this dataset
Gzip Archive - 15.4 KB - MD5: 9f191ad7dfbc9f78479d504f3afd925c
Code
Analysis scripts in a tar archive format. It includes all the scripts used for data analyses: available in the "Scripts_WGSPmalariae" archive, corresponding to the GitHub repository: https://github.com/MargauxLefebvre/WGS_Pmalariae.git
Plain Text - 1.2 KB - MD5: 488f242f84bef9f4fc301e4e368769bb
Données
Métadonnées et inventaire des stations de débits
Plain Text - 8.3 KB - MD5: d016dcc72a197735885714c7c2f4a06c
Données
Debit journalier : THYSSE KAYMOR SONKORONG a SAM codification 1381299006Q
JPEG Image - 225.1 KB - MD5: 54fd9a37cd1d7428b87200ddd58e2c35
Documentation
Image/carte de situation des stations hydrométriques - GoogleEarth
Adobe PDF - 7.5 KB - MD5: 2bcb0558dbf39e8cc45a708f8faa37a4
Documentation
Fichier Lisez moi, Readme
Keyhole Markup Language - 320.4 KB - MD5: c08775bfe02453c034a14985aac453a2
Données
Fichier GoogleEarth : positionnement géographique des stations hydrométriques
Python Source Code - 7.7 KB - MD5: 79fdb788c37dbc1c2aa1769f4b89e763
Code
Script to estimate oxygen production from peat thickness using statistical regressions.
Python Source Code - 5.1 KB - MD5: 5519f5d34ae05f3410c1f6b1cbf04bed
Code
Script to displays two regressions (a polynomial fit between square root of peat thickness and TOC %), and then a linear fit between TOC % and the oxygen demand (dO₂)), displaying and saving the fitted curves with their uncertainties.
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