This document contains the metadata for the GEBCO Gridded Bathymetric Data 2020 dataset. GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based.
If the data sets are used in a presentation or publication then we ask that you acknowledge the source.This should be of the form: GEBCO Compilation Group (2020) GEBCO 2020 Grid (doi:10.5285/a29c5465-b138-234d-e053-6c86abc040b9)
This document contains the terms of use for the GEBCO Gridded Bathymetric Data 2020 dataset. GEBCO’s gridded bathymetric data set, the GEBCO_2020 grid, is a global terrain model for ocean and land at 15 arc-second intervals. It is accompanied by a Type Identifier (TID) Grid that gives information on the types of source data that the GEBCO_2020 Grid is based.
Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains.
This dataset shows the global distribution of seamounts and knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts and 138,412 knolls were identified, representing the largest global set of identified seamounts and knolls to date. Seamount habitat was found to constitute
approximately 4.7% of the ocean floor, whilst knolls covered 16.3%. The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN).
Document giving detailed metadata for the Global Distribution of Seamounts and Knolls dataset.
The Global Volcanism Program database currently contains 1422 volcanoes with eruptions during the Holocene period (approximately the last 10,000 years). This resource contains the mapped locations of the Holocene volcanoes thoughout the world in shapefile format.
Citation:
Global Volcanism Program, 2013. Volcanoes of the World, v. 4.9.0. Venzke, E (ed.). Smithsonian Institution. Downloaded 28 Aug 2020. https://doi.org/10.5479/si.GVP.VOTW4-2013
The Global Volcanism Program database currently contains 1422 volcanoes with eruptions during the Holocene period (approximately the last 10,000 years). This resource contains the mapped locations of the Holocene volcanoes thoughout the world in shapefile format.
Citation:
Global Volcanism Program, 2013. Volcanoes of the World, v. 4.9.0. Venzke, E (ed.). Smithsonian Institution. Downloaded 28 Aug 2020. https://doi.org/10.5479/si.GVP.VOTW4-2013
The Global Volcanism Program database currently contains 1242 volcanoes thought to have been active during the Pleistocene period (approximately the last 2.5 million years); volcanoes active in the past approximately 10,000 years are on the Holocene list and are not duplicated here. This resource contains the mapped locations of the Pleistocene volcanoes thoughout the world in shapefile format.
Metadata for the Global Mangrove Watch dataset.
The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).
This is the report for the Reefs at Risk Revisited analysis. Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).
This dataset contains GIS data (raster and shapefiles) for the global threats to coral reefs: acidification, future thermal stress, integrated future threats, and past thermal stress.
Metadata file for the GIS data (raster and shapefiles) for the global threats to coral reefs: acidification, future thermal stress, integrated future threats, and past thermal stress.
This dataset contains GIS data (raster and shapefiles) for the local threats to coral reefs: coastal development, integrated local, marine pollution, overfishing, and watershed pollution.
Metadata file for the GIS data (raster and shapefiles) for the local threats to coral reefs: coastal development, integrated local, marine pollution, overfishing, and watershed pollution.
Shapefile containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
CSV file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
Metdadata file containing the global distribution of hydrothermal vent fields in WGS84 coordinate system.
GeoJSON file for earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2000-2004. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks.
GeoJSON file for earthquake centers over a magnitude of 4.5 for the Pacific Islands Region for years 2005-2009. Data are derived from the ANSS Comprehensive Earthquake Catalog (ComCat). ComCat contains earthquake source parameters (e.g. hypocenters, magnitudes, phase picks and amplitudes) and other products (e.g. moment tensor solutions, macroseismic information, tectonic summaries, maps) produced by contributing seismic networks.