8,141 to 8,150 of 11,083 Results
Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
MATLAB Data - 4.6 KB -
MD5: 55b52905db25b87376ef51e68e2bef4a
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Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
Plain Text - 10.0 KB -
MD5: 7965e7ae372a1802d79c6cd40baf7523
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Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
MATLAB Figure - 60.0 KB -
MD5: 43d2aba9a87c29fe2f3d5d5120abd8dc
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Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
TIFF Image - 298.0 KB -
MD5: 73459f782b32279098521784fb1e04c1
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Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
MATLAB Source Code - 1.9 KB -
MD5: 2ab096c5ae0b58a98ca16f8c4df5315e
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Apr 1, 2020 -
Carbon Dioxide Transportation Energy Model
MATLAB Source Code - 1.6 KB -
MD5: e87924c26903671c7e3648f4ef1ad147
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Apr 1, 2020
Thibert-Plante, Xavier; Præbel, Kim; Østbye, Kjartan; Kahilainen, Kimmo K; Amundsen, Per-Arne; Gavrilets, Sergey, 2020, "Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia", https://doi.org/10.18710/PI8PJQ, DataverseNO, V1
These data constitute the supplementary material for the publication "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia". The dataset forms the results for the entire parameter space used in simulations. Please read the following abs... |
Apr 1, 2020 -
Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia
Plain Text - 2.3 KB -
MD5: 4aa538974b14d4222d16a741bf333125
ReadMe fie |
Apr 1, 2020 -
Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia
Gzip Archive - 261.8 MB -
MD5: 5143c32974d3f36e5cfedb4b10d73008
This folder contains supplementary material for the paper "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia". |
Mar 9, 2020
Ancin-Murguzur, Francisco Javier; Brown, Antony G.; Clarke, Charlotte; Sjøgren, Per; Svendsen, John Inge; Alsos, Inger Greve, 2020, "Replication Data for: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes?", https://doi.org/10.18710/OJC4TH, DataverseNO, V1
This dataset contains the reference data and script to develop a predictive NIRS model to measure LOI in lacustrine sediments, as described in the article: How well can near infrared reflectance spectroscopy (NIRS) measure sediment organic matter in multiple lakes? |