Author Correction: Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater
| Autor: | Brian P. V. Hunt, Vianney Sivelle, Matej Blatnik, Junbing Pu, Cameron Wood, Stephen Worthington, Bartolomé Andreo, Christelle Batiot-Guilhe, Jean-Baptiste Charlier, Nataša Ravbar, Oliver Koit, Zoran Stevanović, Andreas Hartmann, Antonio Santo, Mario Parise, Bernard Ladouche, Zaihua Liu, Peter Huggenberger, Joanna Doummar, Vincenzo Allocca, Perrine Fleury, Jean-Christophe Maréchal, Jannis Epting, Fang Guo, Liz Stefanny Hidalgo Sánchez, Nicolas Massei, Pantaleone De Vita, Naomi Mazzilli, Nicholas J K Howden, Matías Mudarra, Martin Sauter, Ivo Karmann, Matthieu Fournier, Rouhollah Adinehvand, Tunde Olarinoye, Jannes Kordilla, Vera Marx, Augusto S. Auler, Greg Jones, Jean-Luc Seidel, Juan Antonio Barberá, Gabriele Chiogna, Daniel Bittner, Zhao Chen, Nico Goldscheider, Pierre-Yves Jeannin, Stéphane Binet, Timothy Bechtel, Rannveig Øvrevik Skoglund, Jean-Loup Guyot, Gemma Coxon, Tom Gleeson, Stefan Seeger, Pascal Brunet, Hervé Jourde, Bruno Arfib, David Labat, Terry Bolger, Isabella Serena Liso, John Gunn, Guanghui Jiang, Christophe Apolit, James Apaéstegui, Vincent Bailly-Comte |
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| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Hydrology Data Descriptor Water resources geography geography.geographical_feature_category Published Erratum Hydrograph Library and Information Sciences Karst Computer Science Applications Education Environmental science lcsh:Q Statistics Probability and Uncertainty lcsh:Science Groundwater Information Systems |
| Zdroj: | Scientific Data, Vol 7, Iss 1, Pp 1-1 (2020) Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | Karst aquifers provide drinking water for 10% of the world’s population, support agriculture, groundwater-dependent activities, and ecosystems. These aquifers are characterised by complex groundwater-flow systems, hence, they are extremely vulnerable and protecting them requires an in-depth understanding of the systems. Poor data accessibility has limited advances in karst research and realistic representation of karst processes in large-scale hydrological studies. In this study, we present World Karst Spring hydrograph (WoKaS) database, a community-wide effort to improve data accessibility. WoKaS is the first global karst springs discharge database with over 400 spring observations collected from articles, hydrological databases and researchers. The dataset’s coverage compares to the global distribution of carbonate rocks with some bias towards the latitudes of more developed countries. WoKaS database will ensure easy access to a large-sample of good quality datasets suitable for a wide range of applications: comparative studies, trend analysis and model evaluation. This database will largely contribute to research advancement in karst hydrology, supports karst groundwater management, and promotes international and interdisciplinary collaborations. Measurement(s)hydrographic feature • fluid flow rateTechnology Type(s)digital curationFactor Type(s)geographic location • yearSample Characteristic - Environmentkarst • spring • groundwater Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.11336507 |
| Databáze: | OpenAIRE |
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