Extent and diversity of environmental data are continuously increasing due to more sensor networks with higher spatial and temporal resolution. To find appropriate data for analyses and especially for large scale models and simulations in this data explosion can take up to several months. The preprocessing of these heterogeneous datasets from different research disciplines to acquire a coherent dataset, can be done with a wide range of algorithms and tools. The outcome is a base dataset that is not reproducible and in consequence, neither are the resulting analyses [3, 9]. The datasets therefore do not obey the FAIR principles [13]. The V-FOR-WaTer web portal [11] aims to improve this situation by collecting data and metadata from a wide va...
Over the next decade, it is likely that science and engineering research will produce more scientifi...
In April 2011, I (Daniel Ames), attended the first OpenWater Symposium at the UNESCO-IHE Institute f...
Hydrological modeling and water management intrinsically ask for better integration of data, informa...
Thanks to the growth and automation of observational networks and sensors that are more sophisticate...
Recent evolutions in computing science and web technology provide the environmental community with c...
AbstractRecent evolutions in computing science and web technology provide the environmental communit...
Reproducibility and repeatability of experiments are the fundamental prerequisites that allow resear...
Virtual Research Environments (VREs) are playing an increasingly important role in data centric scie...
Environmental research infrastructures aim to provide scientists with facilities, resources and serv...
In most of the developed world, water resources data, including both water quality and quantity, has...
Understanding and predicting the Earth system requires the collaborative effort of scientists from m...
Research data collected during scientific projects financed by public funds must be reusable not onl...
We are in an age when water resources are increasingly scarce and the impacts of human activities on...
Part 3: Environmental Information Systems and Services – Infrastructures and PlatformsInternational ...
Scientific data is being collected and maintained in dig-ital form in high volumes by many research ...
Over the next decade, it is likely that science and engineering research will produce more scientifi...
In April 2011, I (Daniel Ames), attended the first OpenWater Symposium at the UNESCO-IHE Institute f...
Hydrological modeling and water management intrinsically ask for better integration of data, informa...
Thanks to the growth and automation of observational networks and sensors that are more sophisticate...
Recent evolutions in computing science and web technology provide the environmental community with c...
AbstractRecent evolutions in computing science and web technology provide the environmental communit...
Reproducibility and repeatability of experiments are the fundamental prerequisites that allow resear...
Virtual Research Environments (VREs) are playing an increasingly important role in data centric scie...
Environmental research infrastructures aim to provide scientists with facilities, resources and serv...
In most of the developed world, water resources data, including both water quality and quantity, has...
Understanding and predicting the Earth system requires the collaborative effort of scientists from m...
Research data collected during scientific projects financed by public funds must be reusable not onl...
We are in an age when water resources are increasingly scarce and the impacts of human activities on...
Part 3: Environmental Information Systems and Services – Infrastructures and PlatformsInternational ...
Scientific data is being collected and maintained in dig-ital form in high volumes by many research ...
Over the next decade, it is likely that science and engineering research will produce more scientifi...
In April 2011, I (Daniel Ames), attended the first OpenWater Symposium at the UNESCO-IHE Institute f...
Hydrological modeling and water management intrinsically ask for better integration of data, informa...