31 to 40 of 463 Results
Jun 3, 2026 -
Données hydrologiques aux sites de Thysse Kaymor, Sénégal : période 1983-1992 (base SIEREM)
JPEG Image - 225.1 KB -
MD5: 54fd9a37cd1d7428b87200ddd58e2c35
Image/carte de situation des stations hydrométriques - GoogleEarth |
Jun 3, 2026 -
Données hydrologiques aux sites de Thysse Kaymor, Sénégal : période 1983-1992 (base SIEREM)
Adobe PDF - 7.5 KB -
MD5: 2bcb0558dbf39e8cc45a708f8faa37a4
Fichier Lisez moi, Readme |
Jun 3, 2026 -
Données hydrologiques aux sites de Thysse Kaymor, Sénégal : période 1983-1992 (base SIEREM)
Keyhole Markup Language - 320.4 KB -
MD5: c08775bfe02453c034a14985aac453a2
Fichier GoogleEarth : positionnement géographique des stations hydrométriques |
Jun 1, 2026 - UMR CEREGE
Galvez, Matthieu; Wu, Shuzhuang; Garcin, Yannick; Schefuß, Enno; Gassier, Ghislain; Lebamba, Judicael; Kiahtipes, Christopher; Bokomba Bwamangele, Ferdinand; Kidebua Lutonadio, Roger; Wotzka, Hans-Peter; Adatte, Thierry; Jaccard, Samuel, 2026, "History of oxygen production in the central Congo Basin peatlands region over the Holocene: codes for geospatial data processing and analysis", https://doi.org/10.23708/8CNH4U, DataSuds, V1, UNF:6:A4yOU4d6wdyno9eUHU2rHQ== [fileUNF]
This dataset includes all the codes for the geospatial computing of O2 production in the central Congo Basin peatlands region and which are presented in the article "Hydroclimate controls on Congo peatland net oxygen release over the past 10,600 years". The ReadMe.txt file contai... |
Python Source Code - 7.7 KB -
MD5: 79fdb788c37dbc1c2aa1769f4b89e763
Script to estimate oxygen production from peat thickness using statistical regressions. |
Python Source Code - 5.1 KB -
MD5: 5519f5d34ae05f3410c1f6b1cbf04bed
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. |
Python Source Code - 2.7 KB -
MD5: 3c516a94589b526f979cc3f2fd1cd913
Script to read two raster files representing median peat thickness and its relative uncertainty, then to compute and save two maps showing the estimated upper (here deeper peat depths) and lower bounds (here shallower peat depths) of thickness. |
Python Source Code - 4.8 KB -
MD5: b2e174f368715a11429e32421a0f8f15
Script to perform a lower-bound (here derived from shallower peat depths) estimation of dO2 from peat thickness using polynomial and linear regressions, then to apply the model to raster data and to export TOC and dO2 maps with visualizations. |
Python Source Code - 3.9 KB -
MD5: 5b1156f32886f16edd82f35c04331896
Script to perform a upper-bound (here derived from deeper peat depths) estimation of dO2 from peat thickness using polynomial and linear regressions, then to apply the model to raster data and to export TOC and dO2 maps with visualizations. |
Tabular Data - 1.6 KB - 4 Variables, 80 Observations - UNF:6:2DLFNDtFzhBIpsmy1q30Yw==
Square root of peat thickness and TOC % from the whole central Congo Basin peatlands. Based on the field data of Crezee et al. (2022). |
