Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub

Download

1365-2656.13388.pdf

Date

2020-12-01

Author

Culina, Antica
Adriaensen, Frank
Bailey, Liam D.
Burgess, Malcolm D.
Charmantier, Anne
Cole, Ella F.
Eeva, Tapio
Matthysen, Erik
Nater, Chloe R.
Sheldon, Ben C.
Saether, Bernt-Erik
Vriend, Stefan J. G.
Zajkova, Zuzana
Adamik, Peter
Aplin, Lucy M.
Angulo, Elena
Artemyev, Alexandr
Barba, Emilio
Barisic, Sanja
Belda, Eduardo
Bilgin, Cemal Can
Bleu, Josefa
Both, Christiaan
Bouwhuis, Sandra
Branston, Claire J.
Broggi, Juli
Burke, Terry
Bushuev, Andrey
Camacho, Carlos
Campobello, Daniela
Canal, David
Cantarero, Alejandro
Caro, Samuel P.
Cauchoix, Maxime
Chaine, Alexis
Cichon, Mariusz
Cikovic, Davor
Cusimano, Camillo A.
Deimel, Caroline
Dhondt, Andre A.
Dingemanse, Niels J.
Doligez, Blandine
Dominoni, Davide M.
Doutrelant, Claire
Drobniak, Szymon M.
Dubiec, Anna
Eens, Marcel
Erikstad, Kjell Einar
Espin, Silvia
Farine, Damien R.
Figuerola, Jordi
Gulbeyaz, Pinar Kavak
Gregoire, Arnaud
Hartley, Ian R.
Hau, Michaela
Hegyi, Gergely
Hille, Sabine
Hinde, Camilla A.
Holtmann, Benedikt
Ilyina, Tatyana
Isaksson, Caroline
Iserbyt, Arne
Ivankina, Elena
Kania, Wojciech
Kempenaers, Bart
Kerimov, Anvar
Komdeur, Jan
Korsten, Peter
Kral, Miroslav
Krist, Milos
Lambrechts, Marcel
Lara, Carlos E.
Leivits, Agu
Liker, Andras
Lodjak, Jaanis
Magi, Marko
Mainwaring, Mark C.
Mand, Raivo
Massa, Bruno
Massemin, Sylvie
Martinez-Padilla, Jesus
Mazgajski, Tomasz D.
Mennerat, Adele
Moreno, Juan
Mouchet, Alexia
Nakagawa, Shinichi
Nilsson, Jan-Ake
Nilsson, Johan F.
Norte, Ana Claudia
van Oers, Kees
Orell, Markku
Potti, Jaime
Quinn, John L.
Reale, Denis
Reiertsen, Tone Kristin
Rosivall, Balazs
Russell, Andrew F.
Rytkonen, Seppo
Sanchez-Virosta, Pablo
Santos, Eduardo S. A.
Schroeder, Julia
Senar, Juan Carlos
Seress, Gabor
Slagsvold, Tore
Szulkin, Marta
Teplitsky, Celine
Tilgar, Vallo
Tolstoguzov, Andrey
Torok, Janos
Valcu, Mihai
Vatka, Emma
Verhulst, Simon
Watson, Hannah
Yuta, Teru
Zamora-Marin, Jose M.
Visser, Marcel E.

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

65
views

3
downloads

The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change).

Subject Keywords

Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics

URI

https://hdl.handle.net/11511/69881

Journal

JOURNAL OF ANIMAL ECOLOGY

DOI

https://doi.org/10.1111/1365-2656.13388

Collections

Department of Biology, Article

Suggestions

OpenMETU
Core

Multidisciplinary marine environmental database for the Aral Sea Lyubartsev, VG; Vladymyrov, VL; Myroshnychenko, VV (Elsevier BV, 2004-06-01) Special unique database management and processing system (Oceanbase) have been developed to work with the large sets of multivariable interdisciplinary oceanographic and environmental data. AralBase system developed to work with the Aral Sea interdisciplinary data is a variety of the OceanBase. AralBase is a special database application with the expanded functionality designed to explore large multidisciplinary oceanographic and environmental data sets. It provides many possibilities for data loading, selec...
Enabling Grids for E-sciencE III (EGEE-III) Şener, Cevat(2010-4-30) A globally distributed computing Grid now plays an essential role for large-scale, data intensive science in many fields of research. The concept has been proven viable through the Enabling Grids for E-sciencE project (EGEE and EGEE-II, 2004-2008) and its related projects. EGEE-II is consolidating the operations and middleware of this Grid for use by a wide range of scientific communities, such as astrophysics, computational chemistry, earth and life sciences, fusion and particle physics. Strong quality ass...
An application of the minimal spanning tree approach to the cluster stability problem Volkovich, Z.; Barzily, Z.; Weber, Gerhard Wilhelm; Toledano-Kitai, D.; Avros, R. (Springer Science and Business Media LLC, 2012-03-01) Among the areas of data and text mining which are employed today in OR, science, economy and technology, clustering theory serves as a preprocessing step in the data analyzing. An important component of clustering theory is determination of the true number of clusters. This problem has not been satisfactorily solved. In our paper, this problem is addressed by the cluster stability approach. For several possible numbers of clusters, we estimate the stability of the partitions obtained from clustering of samp...
Computation of Graph Spectra of Protein-Protein Interaction Networks Karasözen, Bülent (2011-05-05) Complex systems from many areas such as biology, sociology, technology appear in form of large networks. These networks are represented usually in form of graphs and their structural properties are analyzed using the methods of graph theory. The so called Laplacian matrix became an important tool of spectral graph theory for the investigation of structural properties of large biological networks. Many important features of the underlying structure and dynamics of systems can be extracted from the analysis o...
Computation and analysis of spectra of large networks with directed graphs Sarıaydın, Ayşe; Karasözen, Bülent; Jost, Jürgen; Department of Scientific Computing (2010) Analysis of large networks in biology, science, technology and social systems have become very popular recently. These networks are mathematically represented as graphs. The task is then to extract relevant qualitative information about the empirical networks from the analysis of these graphs. It was found that a graph can be conveniently represented by the spectrum of a suitable difference operator, the normalized graph Laplacian, which underlies diffusions and random walks on graphs. When applied to large...

Citation Formats

A. Culina et al., “Connecting the data landscape of long-term ecological studies: The SPI-Birds data hub,” JOURNAL OF ANIMAL ECOLOGY, pp. 0–0, 2020, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/69881.