Research result
Paper
-
Palaeoproteomic identification of breast milk protein residues from the archaeological skeletal remains of a neonatal dog
Tsutaya T, Meaghan M, Koenig C, Sato T, Weber AW, Kato H, Olsen JV, Cappellini E. Palaeoproteomic identification of breast milk protein residues from the archaeological skeletal remains of a neonatal dog. Scientific Reports, 9. (2019/9/6)
https://doi.org/10.1038/s41598-019-49183-0 -
The influence of economic specialization on the dynamics of anthropogenic emission of greenhouse gases in Yakutia
Gavrilyeva T.N., Stepanova N.A., Nogovitsyn A.V., Bochkarev N.V., Semenova L.A. The influence of economic specialization on the dynamics of anthropogenic emission of greenhouse gases in Yakutia. Vestnik of North-Eastern Federal University, №2(14). (2019/9/3)
https://doi.org/10.25587/SVFU.2019.14.35451 -
Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia
Morozumi, T., Shingubara, R., Murase, J., Nagai, S., Kobayashi, H., Takano, S., Tei, S., Fan, R., Maximov, T.C., Sugimoto, A. Usability of water surface reflectance for the determination of riverine dissolved methane during extreme flooding in northeastern Siberia. Polar Science, 21, 186-194. (2019/9/1)
https://doi.org/10.1016/j.polar.2019.01.005 -
Discovery of Rhizopogon associated with Larix from northeastern Siberia: Insights into host shift of ectomycorrhizal fungi
Miyamoto, Y., Maximov, T. C., Sugimoto, A., Nara, K. Discovery of Rhizopogon associated with Larix from northeastern Siberia: Insights into host shift of ectomycorrhizal fungi. Mycoscience, 60, 274-280. (2019/9/1)
https://doi.org/10.1016/j.myc.2019.03.003 -
Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest
Tei, S., Sugimoto, A., Kotani, A., Ohta, T., Morozumi, T., Saito, S., Hashiguchi, S., Maximov, T. Strong and stable relationships between tree-ring parameters and forest-level carbon fluxes in a Siberian larch forest. Polar Science, 21, 146-157. (2019/9/1)
https://doi.org/10.1016/j.polar.2019.02.001 -
Northern Sea Route (NSR) as a Major Transport Route: Opportunities and Challenges
Motohisa Abe and Natsuhiko Otsuka. Northern Sea Route (NSR) as a Major Transport Route: Opportunities and Challenges. Asian Transport Studies, 5(4), 617-634. (2019/9/1)
https://doi.org/10.11175/eastsats.5.617 -
Comparative simulations of the evolution of the Greenland ice sheet under simplified Paris Agreement scenarios with the models SICOPOLIS and ISSM
Rueckamp, M., Greve, R. and Humbert, A. Comparative simulations of the evolution of the Greenland ice sheet under simplified Paris Agreement scenarios with the models SICOPOLIS and ISSM. Polar Science, 21, 14-25. (2019/9/1)
https://doi.org/10.1016/j.polar.2018.12.003 -
Satellite Ocean Colour: current status and future perspective
Groom, S.B., S. Sathyendranath, Y. Ban, S. Bernard, B. Brewin, V. Brotas, C. Brockmann, P. Chauhan, J. -K. Choi, A. Chuprin, S. Ciavatta, P. Cipollini, C. Donlon, B. A. Franz, X. He, T. Hirata, T. Jackson, M. Kampel, H. Krasemann, S. J. Lavender, S. Pardo-Martinez, F. Melin, T. Platt, R. Santoleri, J. Skakala, B. Schaeffer, M. Smith, F. Steinmetz, A. Valente, M. Wang, Frontiers in Marine Science, 6:485, doi: 10.3389/fmars.2019.00485
-
Long-term declines in common breeding seabirds in Japan
Senzaki M, Terui A, Tomita N, Sato F, Fukuda Y, Kataoka Y, Watanuki Y (2019) Long-term declines in common breeding seabirds in Japan. Bird Conservation International. (2019/8/28)
https://doi.org/10.1017/S0959270919000352 -
Evaluation of AMSR-E Thin Ice Thickness Algorithm from a Mooring-Based Observation: How Can the Satellite Observe a Sea Ice Field with Nonuniform Thickness Distribution?
Kashiwase, H., Ohshima, K. I., Fukamachi, Y., Nihashi, S., and Tamura, T. Evaluation of AMSR-E Thin Ice Thickness Algorithm from a Mooring-Based Observation: How Can the Satellite Observe a Sea Ice Field with Nonuniform Thickness Distribution? Journal of Atmospheric and Oceanic Technology, 36, 1623-1641. (2019/8/21)
https://doi.org/10.1175/JTECH-D-18-0218.1