This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range. A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016). The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.

This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range. A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016). The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.

This raster GIS dataset contains 30 meter cells depicting non-floodplain wetlands in a hydrobasin. This base dataset is a combination of three globally-available datasets, creating a new dataset that is inclusive of finer-resolution data, while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500-m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019); 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m – CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies;” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range. A 1-km buffer was applied to the HydroBASINS (Lehner and Grill 2013) coastline area and any wetland partially or completely overlain by the 1-km buffer was removed from analysis. In addition, to avoid including large lakes in the data, we also applied a mask using HydroLAKES and removed lake systems ≥10 ha (Messager et al. 2016). The dataset was then overlain by the GFPlain90 floodplain data (resampled to 30 meters) and wetlands overlain by the floodplain were removed.

This raster GIS dataset contains 30 meter cells depicting wetlands in a hydrobasin. This base dataset is a combination of three globally available datasets creating a new dataset is that is inclusive of both finer-resolution data while accounting for a wide range of wetland sizes. The three source datasets are: 1) CW-WTD 500 m dataset resampled to 30 m. – Wetland dataset built from a composite wetland-water table depth (Tootchi 2019), 2) CCI (Climate Change Initiative) data resampled from 300 m to 30 m - CCI defined wetlands as “…mixed classes of flooded areas with tree covers, shrubs, or herbaceous covers plus inland water bodies” and 3) Global Surface Water (GSW) 30-m (Pekel et al. 2016) – A pixel was considered a wetland if it had at least one inundation event over a 32-year range.