License agreements with summary table and user guide for PICs Environmental Data Portals
-HOUSEHOLD: Household characteristics; Household belongings; Communication; Agriculture; Social Transfers; Household Energy use; Food Insecurity Experiences; Water and sanitation; Handwashing; Salt iodisation.
-HOUSEHOLD MEMBER: Individual charateristics; Education.
The following captures the 2017 NUA elelctricity production and sales report from July 2016 to June 2017.
The following document captures the Tuvalu Electricity Corporation (TEC) annual electricity statistics from 2012 to 2014.
Provided are scanned pages of chapter 27 the of the Tonga annual trade reports from 2002 to 2009. The years 2008 and 2009 have dataset available in Excel and PDF.
Provided in word document is the captured tariff rates for FEA since it was last set in 2013. Tariff has been the same from 2013 to 2016.
Details of various solar installation in Niue. Captures the estimated annual kWh, percentage of total daytime electricity production, type of funding and funding source.
Captures total generation (kWh) from the solar installation at the Funafuti Sports Ground in Tuvalu from 2008 - 2013. Data is captured monthly and quarterly on a yearly basis.
Vanuatu tariff code description. Report only for Chapter 27 on mineral fuels, oils, gases, bituminous substances and waxes.
Record captures 2013 Samoa registered vessels by Class (A, C, D, E) and total numbers. Data is provided by the Samoa Energy Office and sourced from the Samoa Ministry of Fisheries. Users may need to refer to the Shipping Regulations of Samoa for more information on the Vessels Classes. Data may contain technical inaccuracies or typological errors. Information may be changed or updated without notice by Samoa Energy Office or Ministry of Fisheries.
The combined Pacific EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
This dataset shows the global distribution of cold-water corals. Occurrence records are given for 86 Families under the subclass Octocorallia (octocorals; also known as Alcyonaria) and four Orders (in Class Anthozoa): Scleractinia (reef-forming corals), Antipatharia (black corals), Zoanthidae (encrusting or button polyps), and Pennatulacea (sea pens). Occurrence records are also available for the order sub-Order Filifera (lace corals) in Class Hydrozoa.
This dataset shows the global distribution of coral reefs in tropical and subtropical regions. It is the most comprehensive global dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the WorldFish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy).
This dataset shows the modelled global patterns of above-ground biomass of mangrove forests. The dataset was developed by the Department of Zoology, University of Cambridge, with support from The Nature Conservancy. The work is based on a review of 95 field studies on carbon storage and fluxes in mangroves world-wide. A climate-based model for potential mangrove above-ground biomass was developed, with almost four times the explanatory power of the only previous published model.
This is a MaxEnt model map of the global distribution of the seagrass biome. Species occurrence records were extracted from the Global Biodiversity Information Facility (GBIF), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC) Ocean Data Viewer and Ocean biogeographic information system (OBIS). This map shows the suitable habitats for the seagrass distribution at global scale.
Resources for the SPREP Inform workshop in Samoa
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, he .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available, the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
Global EEZ layer are the layers gathered from gazetted datasets that the Pacific Community (SPC) has received from the project countries. In areas where there are no gazetted datasets provisional layers are being sourced from the Global Marine Regions database (https://www.marineregions.org/).
There are two layers available the .shp file layer and the .kml layer which are being used by partners and member states in particular FFA for the Regional Fisheries Surveillance Center (RFSC).
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.