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128,051 to 128,060 of 134,348 Results

SSTdata.mat Apr 1, 2020 - Carbon Dioxide Transportation Energy Model MATLAB Data - 4.6 KB - MD5: 55b52905db25b87376ef51e68e2bef4a
SSTdata.txt Apr 1, 2020 - Carbon Dioxide Transportation Energy Model Plain Text - 10.0 KB - MD5: 7965e7ae372a1802d79c6cd40baf7523
Temp_V_HYSYS.fig Apr 1, 2020 - Carbon Dioxide Transportation Energy Model MATLAB Figure - 60.0 KB - MD5: 43d2aba9a87c29fe2f3d5d5120abd8dc
Temp_V_HYSYS.tif Apr 1, 2020 - Carbon Dioxide Transportation Energy Model TIFF Image - 298.0 KB - MD5: 73459f782b32279098521784fb1e04c1
TransEnergy.m Apr 1, 2020 - Carbon Dioxide Transportation Energy Model MATLAB Source Code - 1.9 KB - MD5: 2ab096c5ae0b58a98ca16f8c4df5315e
Visc.m Apr 1, 2020 - Carbon Dioxide Transportation Energy Model MATLAB Source Code - 1.6 KB - MD5: e87924c26903671c7e3648f4ef1ad147
Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia Apr 1, 2020 - UiT The Arctic University of Norway 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 abstract from publication for more detail about the nature of the project...
00_README.txt 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 CodeDataDocumentationNot available until 2020-04-30 ReadMe fie
adaptive_divergence_whitefish.zip.gz 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 CodeDataDocumentationNot available until 2020-04-30 This folder contains supplementary material for the paper "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia".
Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features Mar 31, 2020 - University of Inland Norway Carricondo Sanchez, David; Zimmermann, Barbara; Wabakken, Petter; Eriksen, Ane; Milleret, Cyril; Ordiz, Andrés; Sanz-Pérez, Ana; Wikenros, Camilla, 2020, "Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features", https://doi.org/10.18710/QL1CTR, DataverseNO, V1 Data file containing spatial variables of wolf GPS-positions and random points for step selection functions that is used in the article “Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features”. Abstract: The recovery of large carnivores in human-dominated landscapes comes with challenges. In...

SSTdata.mat

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

MATLAB Data - 4.6 KB -

SSTdata.txt

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

Plain Text - 10.0 KB -

Temp_V_HYSYS.fig

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

MATLAB Figure - 60.0 KB -

Temp_V_HYSYS.tif

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

TIFF Image - 298.0 KB -

TransEnergy.m

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

MATLAB Source Code - 1.9 KB -

Visc.m

Apr 1, 2020 - Carbon Dioxide Transportation Energy Model

MATLAB Source Code - 1.6 KB -

Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia

Apr 1, 2020 - UiT The Arctic University of Norway

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 abstract from publication for more detail about the nature of the project...

00_README.txt

Apr 1, 2020 - Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia

Plain Text - 2.3 KB -

CodeDataDocumentationNot available until 2020-04-30

ReadMe fie

adaptive_divergence_whitefish.zip.gz

Apr 1, 2020 - Supplementary data for: Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia

Gzip Archive - 261.8 MB -

CodeDataDocumentationNot available until 2020-04-30

This folder contains supplementary material for the paper "Using mathematical modelling to investigate the adaptive divergence of whitefish in Fennoscandia".

Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features

Mar 31, 2020 - University of Inland Norway

Carricondo Sanchez, David; Zimmermann, Barbara; Wabakken, Petter; Eriksen, Ane; Milleret, Cyril; Ordiz, Andrés; Sanz-Pérez, Ana; Wikenros, Camilla, 2020, "Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features", https://doi.org/10.18710/QL1CTR, DataverseNO, V1

Data file containing spatial variables of wolf GPS-positions and random points for step selection functions that is used in the article “Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features”. Abstract: The recovery of large carnivores in human-dominated landscapes comes with challenges. In...

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