- Language
-
Englisch
- Identifier
-
1278327762
Contributor
Wulff, Nadja C.
Lehmann, Gerlind
Lehmann, Gerlind
- DOI
-
10.18452/25835
- URN
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
02.05.2023, 9:12 AM CEST
Associated
- Wulff, Nadja C.
- Lehmann, Gerlind
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Evaluating citizen science for dialect research on the nightingale song (Luscinia megarhynchos)
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Correlated sexual selection on male genitalia, copulatory performance and nuptial gifts in a bushcricket (Orthoptera: Tettigoniidae) indicated by allometric scaling
Reproductive behaviour of the European Common Frog (Rana temporaria)
Unravelling the Stability of Nightingale Song Over Time and Space Using Open, Citizen Science and Shared Data
Patterns of Urban Green Space Use Applying Social Media Data: A Systematic Literature Review
Mapping mental barriers that prevent the use of neighborhood green spaces
Chandigarh's modern citizens, India's smart citizenry: (re)constituting subalternity
Deep Generalized Additive Regression Models for Location, Scale and Shape using TensorFlow
Comparing applicability of prevalent Clustering Algorithms for Document Clustering
Elastic Full Procrustes Means for Sparse and Irregular Planar Curves
Adaptive Strategies in Life-History of Bushcrickets (Orthoptera) and Cicadas (Homoptera) to Parasitoids Pressure on Their Acoustic Communication Systems—A Case for Sociality?
Evaluating citizen science for dialect research on the nightingale song (Luscinia megarhynchos)
To be “Pavarotti” in a crowded concert hall? Song competition between bushcricket males in natural choruses.
Correlated sexual selection on male genitalia, copulatory performance and nuptial gifts in a bushcricket (Orthoptera: Tettigoniidae) indicated by allometric scaling
Reproductive behaviour of the European Common Frog (Rana temporaria)
Unravelling the Stability of Nightingale Song Over Time and Space Using Open, Citizen Science and Shared Data
Patterns of Urban Green Space Use Applying Social Media Data: A Systematic Literature Review
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Deep Generalized Additive Regression Models for Location, Scale and Shape using TensorFlow
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