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Podlaskie cyfrowe repozytorium przyrodniczych danych naukowych.

Podlaskie cyfrowe repozytorium przyrodniczych danych naukowych e-puszcza
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731 to 740 of 106,214 Results
Jul 7, 2023 - Michał Żmihorski Dataverse
Mikusiński, G.; Elbakidze, M.; Skaltsa, I.; Orlikowska, EH.; Żmihorski, M.; Iwinska, K., 2023, "Data from Mikusiński et al. People and Nature", https://doi.org/10.48370/OFD/SSIITB, openforestdata.pl, V1, UNF:6:WhmHGVaRtS/rLiVuFfUzTQ== [fileUNF]
Mikusiński et al paper, 2023
Tab-Delimited - 1.1 MB - MD5: 795ce89453e7c1a939e4d50295d79eae
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Michał Żmihorski Dataverse(Mammal Research Institute, Polish Academy of Sciences)
Jul 7, 2023
Jun 22, 2023
Wang, Linda, 2023, "Robots on the March", https://doi.org/10.48370/OFD/MGZPT1, openforestdata.pl, V1
There is growing anxiety in America and the world that industrial robots will take away many relatively high paying skilled jobs. Time will tell but it is interesting that low-wage China is already the world’s largest user of robots in manufacturing. I think they are ahead of the...
Apr 5, 2023
Schmidt, Krzysztof, 2023, "Replication Data for: Lynx habitat suitability in Poland", https://doi.org/10.48370/OFD/8FOHWO, openforestdata.pl, V2, UNF:6:5Bi+qB9I6fQSW8656ldg0w== [fileUNF]
The dataset contains all data necessary to replicate the analyses performed in the paper. These include lynx locations, random locations and environmental layers used for habitat selection and habitat suitability analyses.
TIFF Image - 2.3 MB - MD5: 6dbe7a777476e4feb0a5724fd4817c84
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Fixed Field Text Data - 561.6 KB - MD5: 81a7a8cca370e5f01cba8283fad603e5
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TIFF Image - 2.3 MB - MD5: 0e029ec04b457b72411c4e356ffee87d
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