Publicly available data for Tuvalu from the world database on protected areas. This data needs to be reviewed and updated.
Dataset that provides a direct internet link to Tuvalu's climate change data portal.
Interviews conducted on commercial premises where waste was also collected.
• Date: date of the interview
• Premises_ID: unique premises identifier
• Premises_Type: type of premises
• additional_comments_photos/extra_comments: miscellaneous comments
• country: country of audits
• Who_collects_the_rubbish
• Collection_period: how often waste is collected
• Collection_rating: satisfaction with collection service, 1-5 scale
• Waste_disposal_general: how general waste is disposed of
Household interviews conducted at houses where waste was collected.
Big file containing high level audit data, detailed sort of drink containers and interview data.
Long form dataset containing data from APWC high level waste sorts and detailed container sort. See the "Pivot Table" sheet for a summary of the data contained here.
Note that average values will not work for the pivot table, as each category has a number of subcategories which messes up the calculation of averages.
direct link to Tuvalu's data on the GBIF website
direct internet link to Tuvalu's climate change data portal.
Each value represents the number of dumping events observed on fishing vessels during the period 2003-2015
Forest area for pacific island countries
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.
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.