21 to 30 of 98 Results
ZIP Archive - 225.9 MB -
MD5: 4919d076e952428197ec2687c0d310eb
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ZIP Archive - 484.5 KB -
MD5: a0733d6c278c8ddcf460f90226aadf2e
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Tabular Data - 68.7 KB - 36 Variables, 190 Observations - UNF:6:6ABEUgitNh/DInCavx/opg==
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Nov 21, 2024 - HAMSOM–ECOHAM physical and biogeochemical modelling
Mayer, Bernhard Andreas, 2024, "HAMSOM and ECOHAM model codes", https://doi.org/10.21979/N9/J1QJDL, DR-NTU (Data), V1
The files contain the model codes and scripts used to create the data on which our analyses were based for the related publication. It is one file for the regional circulation model HAMSOM and another one for the regional ecosystem model ECOHAM. |
Nov 21, 2024 -
HAMSOM and ECOHAM model codes
ZIP Archive - 128.2 MB -
MD5: 779d152637aa0c366dc7dabaa0fb5f0e
Ecosystem model ECOHAM: file contains the source code and scripts in Fortran90, c-shell and Python3. |
Nov 21, 2024 -
HAMSOM and ECOHAM model codes
ZIP Archive - 248.1 MB -
MD5: fdc77bd16461395dc3705f86c76653c5
Circulation model HAMSOM: file contains the source code and scripts in Fortran90, c-shell and Python3. |
Nov 20, 2024 - HAMSOM–ECOHAM physical and biogeochemical modelling
Martin, Patrick, 2024, "Catchment peatland coverage", https://doi.org/10.21979/N9/NPHRHN, DR-NTU (Data), V1
Data and codes used to determine percentage area coverage by peatlands in catchments across SE Asia. Catchments are those catchments used to define river inflow in HAMSOM, based on the MPI hydrological model. Analysis was performed by ASE student Shawn Ang Bing Hong in 2023. |
Nov 20, 2024 -
Catchment peatland coverage
Shapefile as ZIP Archive - 39.4 MB -
MD5: a041c8a335fa7cda52f4047197faba51
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Nov 20, 2024
Dataverse for datasets generated by, or used as input for, the physical and biogeochemical modelling of terrestrial dissolved organic carbon across the Sunda Shelf Sea using the models HAMSOM and ECOHAM. |
Jul 15, 2024 - CHEN Yuan
Chen, Yuan; Zhou, Yongli; Martin, Patrick, 2023, "Replication Data for: The Validity of Optical Properties as Tracers of Terrigenous Dissolved Organic Carbon during Extensive Remineralization in Coastal Waters", https://doi.org/10.21979/N9/Q1L9HR, DR-NTU (Data), V3, UNF:6:pRk8PcEkUs3rJK5YsiNoJg== [fileUNF]
Dataset and code for the analysis in this study. |
