Raster data representing the mean levels of phosphate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of dissolved oxygen in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of phytoplankton in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of silicate in µmol/m3 for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of temperature in degrees Celsius (°C) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
Raster data representing the mean levels of salinity in practical salinity scale (PSS) for the surface water layer. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).
Marine data layers for present conditions were produced with climate data describing monthly averages for the period 2000–2014, obtained from pre-processed global ocean re-analyses combining satellite and in situ observations at regular two- and three-dimensional spatial grids.
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)
The information contain number of visitor who visited the RMI from the year 1989-2005. The information is only for Majuro. No data for kwajalein.
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.
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.
Annual rainfall for Majuro and Kwajalein. Units are in millimeters (1945-2013)
The Open Database License (ODbL) is a license agreement intended to
allow users to freely share, modify, and use this Database while
maintaining this same freedom for others. Many databases are covered by
copyright, and therefore this document licenses these rights. Some
jurisdictions, mainly in the European Union, have specific rights that
cover databases, and so the ODbL addresses these rights, too. Finally,
the ODbL is also an agreement in contract for users of this Database to
act in certain ways in return for accessing this Database.
Excel file with spreadsheets for each species. Downloaded from TREDS May 2021.
Total population of the Marshall Islands from 1960-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/SP.POP.TOTL?locations=MH
Urban population as a percentage of total population for the Marshall Islands from 1960-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/SP.URB.TOTL.IN.ZS?locations=MH
Liner Shipping Connectivity of the Marshall Islands and other countries from 2004-2019 derived from the World Bank DataBank - https://data.worldbank.org/indicator/IS.SHP.GCNW.XQ?locations=MH
Mobile Cellular and Internet Subscriptions (per 100 people) from 1994-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/IT.CEL.SETS.P2?locations=MH
Imports of goods and services for the Marshall Islands from 1995-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/NE.IMP.GNFS.CD?locations=MH
Gross Domestic Product (GDP) per capita using constant 2020 $USD for Marshall Islands from 1960-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/NY.GDP.PCAP.CD?locations=MH
Gross Domestic Product (GDP) per capita using constant 2015 $USD for Marshall Islands from 1960-2020 derived from the World Bank DataBank - https://data.worldbank.org/indicator/NY.GDP.PCAP.KD?locations=MH