the link directly leads to the Republic of Palau's data on the Micronesia Challenge website
Dataset that provides a direct internet link to Palau's climate change data portal.
direct link to Palau's data on the GBIF website
Raster data representing the mean levels of calcite 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 current velocities in meters/second 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 iron 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 pH 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 photosynthetically active radiation (PAR) in E/m2/year 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.
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.
Excel file with spreadsheets for each species. Downloaded from TREDS May 2021.
In 2007, a total of 230 species found in Palau were listed on the International Union for Conservation of Nature and Natural Resource (IUCN) Red List as vulnerable to some degree including 53 species listed as near threatened, vulnerable, or endangered 64 species listed as data deficient.
Calculated as Production (if any) + Imports - Exports
A direct internet link to easily access more ODS related data for Tuvalu on the UNEP Ozone Secretariat website
A direct internet link to easily access more ODS related data for Tuvalu on the UNEP Ozone Secretariat website
Koror and Airai have the highest populations in Palau with more development (roads, residential development and
industry). By comparison, Kayangel and Ngarchelong have small populations and very limited pollution. Loss of fish
catch from terrestrial pollution for Hatohobei and Sonsorol, two states with minimal population and negligible development, is assumed to be zero, and they are not included in the estimates.
This excel sheet is one of the cheat sheets, a part of the FIA database which you can download and use at this link https://www.fs.fed.us/pnw/rma/fia-topics/inventory-data