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131,071 to 131,080 of 137,550 Results
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...
00_ReadMe_for_data_of_Carricondo_2020_Wolves_at_the_door_Biol_Conserv.txt
Mar 31, 2020 - Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features
Plain Text - 1.5 KB - MD5: ec069a011745fefc59f12d91ae1d7ff7
The ReadMe file.
01_Data_of_Carricondo_2020_Wolves_at_the_door_Biol_Conserv.txt
Mar 31, 2020 - Replication data for Wolves at the door? Factors influencing the individual behavior of wolves in relation to anthropogenic features
Plain Text - 29.5 MB - MD5: 04c1e2680071d389f8d87991a4dec0c5
Dataset including all variables used for the step selection functions, for wolf positions and random points.
Replication data for: Primitive duplicate Hox clusters in the European eel's genome
Mar 25, 2020 - Norwegian University of Life Sciences (NMBU)
Henkel, Christiaan, 2020, "Replication data for: Primitive duplicate Hox clusters in the European eel's genome", https://doi.org/10.18710/L7GO8T, DataverseNO, V1
This is the genome assembly and annotation of Anguilla anguilla, as described in PLoS ONE 7, e32231 (2012). Previously, these data were available at www.eelgenome.com. See the readme file for more information.
00_readme.txt
Mar 25, 2020 - Replication data for: Primitive duplicate Hox clusters in the European eel's genome
Plain Text - 2.6 KB - MD5: b78f93fda853f8b67d6da2a2e0dc5972
Description of the data
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