21 to 30 of 712 Results
Mar 16, 2024 -
Socio-economic variables improve accuracy and change spatial predictions in species distribution models
MS Word - 2.9 MB - MD5: 590a6aea8eda9abd2c6b6d3f3a1c7eac
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Mar 8, 2024 - Beata Bramorska Dataverse
Bramorska, Beata, 2024, "Socio-economic variables improve accuracy and change spatial predictions in species distribution models", https://doi.org/10.48370/OFD/QKTXG6, openforestdata.pl, V1
This paper is a pre-proof version and it will be replaced by the final version as soon as it is available. This paper is published in Science of the Total Environment: Bramorska B., Komar E., Maugeri L., Ruczyński I., Żmihorski M. 2024. Socio-economic variables improve accuracy a... |
Mar 8, 2024 -
Socio-economic variables improve accuracy and change spatial predictions in species distribution models
MS Word - 2.9 MB - MD5: 1ab74ad7d3cb67b215327fd7d25c37ec
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Mar 7, 2024
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Feb 26, 2024 - Dries Kuijper Dataverse
Kuijper, Dries, 2024, "Wolves recolonize novel ecosystems leading to novel interactions", https://doi.org/10.48370/OFD/MG2N2C, openforestdata.pl, V1
This paper is the author accepted manuscript (AAM) for Open Access purposes. This paper is published in Journal of Applied Ecology: Kuijper, D.P.J., Diserens T.A., Say-Sallaz, E., Kasper, K., Szafrańska P.A., Szewczyk, M., Stępniak, K.M., Churski, M. 2024. Wolves recolonize novel... |
Adobe PDF - 786.6 KB - MD5: 6d035e75cc3ec1ece3dcb726877fe270
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Feb 26, 2024
Manuscript for Open Access: Kuijper, D.P.J., Diserens T.A., Say-Sallaz, E., Kasper, K., Szafrańska P.A., Szewczyk, M., Stępniak, K.M., Churski, M. 2024. Wolves recolonize novel ecosystems leading to novel interactions. Published in: Journal of Applied Ecology, DOI:10.1111/1365-26... |
Jan 17, 2024 - Małgorzata Tokarska Dataverse
Tokarska, Małgorzata; Kunvar, Shazia, 2024, "Genetic background of a lethal posthitis disease in the European bison males", https://doi.org/10.48370/OFD/PO0GXG, openforestdata.pl, V1
Genetic background of a lethal posthitis disease in the European bison males |
PLINK Binary - 429.5 KB - MD5: 40a1d7c9cdb0dd4451494d8e84a946d3
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Unknown - 8.3 MB - MD5: 5e8777cc19d1bf50defaf6863cdcb8d0
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