State of Environment (SoE) reports provide in-country partners with a process to gather data on current environmental indicators, document their status, and formulate a plan for keeping these indicators on track or developing policies and programs as needed. This SoE Toolkit dataset contains resources that serve as guides to help create up-to-date State of Environment reports.
The World Database on Protected Areas (WDPA) is the most comprehensive global database of marine and terrestrial protected areas, updated on a monthly basis, and is one of the key global biodiversity data sets being widely used by scientists, businesses, governments, International secretariats and others to inform planning, policy decisions and management.
This dataset contains information on food and live animal imports and exports, access to rainwater tanks, and improved agricultural varieties for adaptation related to climate change. Data are from years ranging from 1986 to 2013.
This dataset contains information on improved agriculture varieties for 2011.
This dataset contains information on food and live animal exports and imports from 2005 to 2013.
This dataset contains information on households with access to private rainwater tanks for years in the range of 1986 to 2011.
Publicly available data for Tuvalu from the world database on protected areas. This data needs to be reviewed and updated.
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on February 26-28, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
Emergency division tabletop exercise in Kosrae- October 25-27, 2023
The main objective of a demographic household survey (DHS) is to provide estimates of a number of basic demographic and health variables. This is done through interviews with a scientifically selected probability sample that is chosen from a well-defined population.