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Publication Year: 2022

161 to 170 of 800 Results

4_Tropical_Peats.py Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Python Source Code - 19.4 KB - MD5: 6761d5c0833253811a79547ff622a3ee Code This code will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR
5_Precip_Reconstruction.ipynb Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Jupyter Notebook - 557.1 KB - MD5: 8324b04aef79baaa64e5c07ecc02fc6a Code This notebook will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data
5_Precip_Reconstruction.py Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Python Source Code - 21.7 KB - MD5: 51f4f64aba511a2b0c61bcf4e4a34c5a Code This code will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data
Age_depth_models.txt Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Plain Text - 1.0 KB - MD5: dfd566a1d8d9674b85545246dd78122b Code rbacon code for age/depth models
BDM1-7dates.tab Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Tabular Data - 269 B - 5 Variables, 9 Observations - UNF:6:sRazKBE7YsXHLsA1uOO5Gw== Data 14C dates of core BDM1-7 with topcore assigned to year 2019
CEN-17.4dates.tab Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Tabular Data - 747 B - 5 Variables, 24 Observations - UNF:6:HUgIdSVW3yTYTdxEsVPikQ== Data 14C dates of core CEN-17.4 with topcore assigned to year 2014
LOK-5-5dates.tab Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Tabular Data - 284 B - 5 Variables, 10 Observations - UNF:6:M6e3BLVRS8Uz3IwpqSIgig== Data 14C dates of core LOK5-5 with topcore assigned to year 2020
ReadMe_Age_depth_models.txt Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Plain Text - 637 B - MD5: 2cd19f3543b6f034e0f54528b4cef90d Documentation Contents summary
ReadMe_Tropical_peats.txt Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Plain Text - 5.1 KB - MD5: 5fcb477530e3b48365d2d4db52fb4ad9 Documentation Contents summary
requirements.txt Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Plain Text - 2.5 KB - MD5: f2917372e009c14f124564152f426265 CodeDocumentation File containing the reference parameters used to calibrate all the maps

4_Tropical_Peats.py

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Python Source Code - 19.4 KB -

Code

This code will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR

5_Precip_Reconstruction.ipynb

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Jupyter Notebook - 557.1 KB -

Code

This notebook will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data

5_Precip_Reconstruction.py

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Python Source Code - 21.7 KB -

Code

This code will allow estimating past changes in precipitation amount and/or seasonality using peat δDn-C29 values compared with a wide range of δDprecip values at the CEN-17.4 site computed using an empirical approach based on modern climate data

Age_depth_models.txt

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Plain Text - 1.0 KB -

Code

rbacon code for age/depth models

BDM1-7dates.tab

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Tabular Data - 269 B - 5 Variables, 9 Observations -

Data

14C dates of core BDM1-7 with topcore assigned to year 2019

CEN-17.4dates.tab

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis