The model and the data part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation”
doi: 10.4121/21103819.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
doi: 10.4121/21103819
doi: 10.4121/21103819
Datacite citation style:
Raphael Elbing (2022): The model and the data part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation”. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/21103819.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software
The presented model and the data are part of the master thesis “Integrating Reuse in MaTrace Models: An implementation and evaluation” by Raphael Elbing handed in in September 2022 to obtain the Master of Science in Industrial Ecology. Part of the code is explained in the file “model_application_manual.html”. The composition of the data is explained in the thesis itself. The ziped folders need to be unziped to run the code.
history
- 2022-09-19 first online, published, posted
publisher
4TU.ResearchData
format
.html; .ipynb; .py; .xlsx
organizations
TU Delft, Faculty of Technology Policy and Management, Leiden University, CML
DATA
files (15)
-
1,072 bytesMD5:
d9b192c73b5fbd296e2b36b099c40fe7
README.txt -
23,620 bytesMD5:
dfc9736a6b33dc9735e0180ea7797741
base_matrace_model.py -
12,831 bytesMD5:
b2cf0e0ed6b7ddf258843b146c06dad3
base_reuse_model.py -
11,743 bytesMD5:
eb2a9d39f957fd08ebd427e8c30f57f4
combined_reuse_matrace_model.py -
50,920,989 bytesMD5:
a3c1e6c8c22e9ed64d783a7db4d0835b
data_cobalt_case_study.zip -
46,796 bytesMD5:
2006564744a95198c381c8c373843fb0
data_model.zip -
18,083 bytesMD5:
ed6fec0818966770f9551fec965484d1
functions.py -
953,254 bytesMD5:
f550777f50715ccde6a93230151dbdc7
model_application_manual.html -
455,705 bytesMD5:
7ad6c0f322c2b51c15b63f89874f04cd
model_application_manual.ipynb -
7,230 bytesMD5:
06b4c9961327ad081344be80a9b18d8e
monte_carlo_evaluation.py -
3,051,046 bytesMD5:
d454cef48dce52066b442d6f3aa203e2
monte_carlo_results.zip -
16,431 bytesMD5:
85776f46c32afb030048cb38b17d623c
monte_carlo_simulations.py -
6,824 bytesMD5:
19a8c0912f8030350a1f20c92c63e1f6
monte_carlo_uncertainty.py -
1,858,596 bytesMD5:
a8a40eed8a58b101527101bfd60eb8ec
used_graphs.html -
1,009,670 bytesMD5:
a794aeb2680852775434cdeb3a9a3f2e
used_graphs.ipynb - download all files (zip)
58,393,890 bytes unzipped