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 Secretariat of the Pacific Regional Environment Programme

Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation.

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 Secretariat of the Pacific Regional Environment Programme

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

 Secretariat of the Pacific Regional Environment Programme

please download

 Secretariat of the Pacific Regional Environment Programme

This dataset contains templates of policies and MoU's on data sharing.
You can download the Word-templates and adapt the documents to your national context.

 Secretariat of the Pacific Regional Environment Programme

A collection of Inform project training materials. You are free to download and use any of the training resources below. The PowerPoint presentations contain a complete set of slides, so please feel free to copy, delete or change slides, to fit the purpose of your country training.

 Secretariat of the Pacific Regional Environment Programme

The dataset contains a range of different Pacific regional maps developed by the SPREP GIS team and is available for use by members and partners.

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 Secretariat of the Pacific Regional Environment Programme

Dataset regarding 'Seamounts' - peaks that rise over 1,000 m above the seafloor. Seamount chains occur in all three major ocean basins, with the Pacific having the most number and most extensive seamount chains.

 Secretariat of the Pacific Regional Environment Programme

A direct internet link to and resources pertaining the Blue Habitat website which has been established as a portal for information on the global distribution of marine ‘blue’ habitats. Knowledge on the distribution of blue habitats is an important input into ocean management, marine spatial planning and biodiversity conservation.

 SPREP Island and Ocean Ecosystems (IOE)

Maps and associated data from the Turtle Research and Monitoring Database System (TREDS). A summary of the database can be found below.

The Turtle Research and Monitoring Database System (TREDS) provides invaluable information for Pacific island countries and territories to manage their turtle resources. TREDS can be used to collate data from strandings, tagging, nesting, emergence and beach surveys as well as other biological data on turtles.

At the end of a training, you can ask participants to fill in this Action Plan. The goal is to link learning to performance.

This policy applies requests for data held by a Ministry. The purpose of this policy is to:
• encourage the free exchange of data within a Ministry, with other government agencies within the country and with the public, as appropriate
• ensure that sensitive information (including commercially sensitive data) held by the Ministry is not compromised.

Memorandum of Understanding between two parties, for the exchange of data, related information and other services.

Memorandum of Understanding between SPREP and a Country, to facilitate the access to, and security of, all data entered into the national database.

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2005. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2010. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2015. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the year 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells.

Raster data representing the mean levels of chlorophyll in mg/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.