Search alternatives:
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search), linear decrease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
largest decrease » larger decrease (Expand Search), marked decrease (Expand Search)
longer decrease » larger decrease (Expand Search), linear decrease (Expand Search)
higher decrease » higher degree (Expand Search), higher degrees (Expand Search), highest increase (Expand Search)
-
121
-
122
Box plots showing the taxa that were significantly different between thin and normal cows.
Published 2025Subjects: -
123
-
124
<b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b>
Published 2025“…We found that nest mass increased by ~ 60% along the elevational gradient, but the effect of canopy openness on nest mass was not significant, while nest mass decreased along the ranked species from the smallest <i>Periparus ater</i> to the medium-sized <i>Cyanistes caeruleus</i> and the largest <i>Parus major</i>. …”
-
125
Detailed information of the observation datasets.
Published 2025“…Generally speaking, there is no clear linear relationship between scores and the other variables. On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
-
126
General technical specification for GW154/6700.
Published 2025“…Generally speaking, there is no clear linear relationship between scores and the other variables. On longer time scales (6–24 hours), the score and correlation between ERA5 and observations further increased, while the centered root-mean-square error (CRMSE) and standard deviation decrease. 4) Hourly wind data with a regular spatial distribution in ERA5 reanalysis provides valuable information for further detailed research on meteorology or renewable energy perspectives, but some inherent shortcomings should be considered.…”
-
127
-
128
-
129
-
130
-
131
-
132
-
133
-
134
-
135
-
136
-
137
-
138
-
139
-
140
The contemporary, long-term seasonality in inundation over the whole of the Amazon basin.
Published 2024Subjects: