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Jülich DATA (Forschungszentrum Jülich GmbH)
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7,231 to 7,240 of 7,545 Results
Evaluation_Scripts_Matlab.zip
ZIP Archive - 15.3 KB - SHA-256: 0c4345a8e0bd56cca5d7bce0c8c07898442c046432c757d177cdeecddbc24c7b
In 'Evaluation_Scripts_Matlab', 4 evaluation scripts can be found: 1. Doping Variability: Here, all data concerning the variability chapter of the paper can be read in and evaluated. 2. Doping_Retention_HRS_Tilt: Here, the data concerning the cells programmed to HRS showing...
ReadMe.txt
Plain Text - 1.2 KB - SHA-256: 98d262ce49093819f843f58f67df4d955cfee2be97471f6dfb8770ff06c148c8
SimulatedData.zip
ZIP Archive - 460.9 MB - SHA-256: e522c28fb194d223a7443a6d43cc3a9e5eb86f08e91468b8f3f7df69e3809249
In 'SimulatedData', all simulated data can be found. From the evaluation scripts, it should be clear which data refers to which figures. The folders beginning with 01_.., 02_.. and so on belong to the variability data. The other folder belong to the retention data. In each...
Optimizing Cassava Growth with Localized Struvite Application: Root Proliferation and Fertilization Efficiency
Jan 29, 2025 - Direction Project
IBG-2, 2025, "Optimizing Cassava Growth with Localized Struvite Application: Root Proliferation and Fertilization Efficiency", https://doi.org/10.26165/JUELICH-DATA/KVUOSI, Jülich DATA, V1
Cassava is a root storage crop that is important to the starch industry and food security. In this study, the sustainable fertilization of cassava using local placement of struvite, a fertilizer recovered from wastewater, rich in nitrogen, phosphorus, and magnesium, was investiga...
combined_wholeplantdata_3.csv
Comma Separated Values - 2.6 KB - SHA-256: 517f66b236738436b8cc383fe3abcf9d0ad9a47d32de539d560feb1ba8ff3fc0
dataByLayer3.csv
Comma Separated Values - 4.4 KB - SHA-256: 32643d7d58198d0815b741aa1961463b207ebcafb26e53fc10794feb20d6baba
ibdbylayer.csv
Comma Separated Values - 1.2 KB - SHA-256: dfa689f501a8c730236f886dc87ef81d3ad73d3b1ea09bedabf96b3dc98cccd8
Roots length heatmap.csv
Comma Separated Values - 3.2 KB - SHA-256: 6e125bb0f038d5598d91fff1da63c13ec67e993998951a8200d1b66ef493d40f
soilNutrientConcentrationsByRowAndColumn.csv
Comma Separated Values - 8.5 KB - SHA-256: caf665b32afdbb6bd40efcffbd5000d4e7c762150931f4a56a300e2eb1c14e63
Direction Project(FZJ)
Jan 29, 2025Institute of Bio- and Geosciences – Plant Sciences (IBG-2)
Direction Project is a project on Irrigated Cassava. It collects data on growth of cassava under different irrigation regimes and monitors environmental conditions for the sake of developing simulation models.
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