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Bio-Oracle: Ocean Rasters for Analysis of Climate and Environment
Citation
Tyberghein L., Verbruggen H., Pauly K., Troupin C., Mineur F. & De Clerck O. Bio-ORACLE: a global environmental dataset for marine species distribution modeling. Global Ecology and Biogeography (DOI: 10.1111/j.1466-8238.2011.00656.x). https://marineinfo.org/id/dataset/3224
Contact:
Tyberghein, Lennert Availability: Unrestricted
The data are freely available to anybody and may be used for any purpose. Usage acknowledgement may be required Notes: GNU General Public License
Description
Bio-ORACLE is a set of GIS rasters providing marine environmental information for global-scale applications. It offers an array of geophysical, biotic and climate data at a spatial resolution 5 arcmin (9.2 km) in the ESRI ascii format Scope Themes: Biology, Environmental quality/pollution, Geography Keywords: Marine/Coastal, Ecology, Environment, Macroecology, Models, Niches, Oceanography, Species distribution, World Waters, Codium fragile (Suringar) Hariot, 1889 Geographical coverage World Waters [Marine Regions] Taxonomic coverage
Codium fragile (Suringar) Hariot, 1889 [WoRMS]
Contributors
Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Onderzoeksgroep Fycologie, more, data manager, data creator
Université de Liège; Faculté des Sciences; Département d'Astrophysique, Géophysique et Océanographie; GeoHydrodynamics and Environmental Research group (GHER), more, data creator
Queen's University of Belfast; School of Biological Sciences, more, data creator
Related datasets
Following version: Bio-Oracle v2: Marine data layers for ecological modelling, more
Publication
Describing this dataset
Tyberghein, L. et al. (2012). Bio-ORACLE: a global environmental dataset for marine species distribution modelling. Glob. Ecol. Biogeogr. 21(2): 272-281. https://dx.doi.org/10.1111/j.1466-8238.2011.00656.x, more
Tyberghein, L. et al. (2011). Bio-ORACLE: a global environmental dataset for marine species distribution modelling, in: Pauly, K. GIS-based environmental analysis, remote sensing and niche modeling of seaweed communities. pp. 97-124, more
Dataset status: Completed
Data type: GIS maps
Data origin: Data collection
Release date: 2011-03-24
Metadatarecord created: 2012-09-27
Information last updated: 2024-02-27
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