The data set consists of southern Africa subset of the CPEP Global River Discharge Data Set. The Climate, People, and Environment Program (CPEP) global river discharge data set is a compilation of monthly mean discharge data for over 2600 sites worldwide. The data sources are RivDis 2.0, the United States Geological Survey, and Brazilian National Department of Water and Electrical Energy. The period of record is variable, from 3 years to greater than 100. The purpose of this compilation is to provide detailed hydrographic information to the climate research community in as general a format as possible. Data is provided in units of meters cubed per second (m**3/sec) in ASCII format. Data from stations with less than 3 years of information or with basin area less than 5000 km2 were excluded from this compilation. Therefore the original sources may have more sites available. No further documentation is available on this data set. Users should refer to the data originators for documentation. More information can be found at: ftp://daac.ornl.gov/data/safari2k/hydrology/river_discharge_cpep/comp/cpep_discharge.pdf.

This polygon shapefile represents areas of inland water such as: lakes, ponds, rivers or streams in South Africa. The bulk of the data, for this layer, was captured from the South African Provincial Map Series (2nd edition 2001), i.e. LIMPOPO 1:700 000, NOTHERN CAPE 1:1 200 000,KWAZULU - NATAL 1:700 000, WESTERN CAPE 1:800 000, EASTERN CAPE 1:800 000, MPUMALANGA 1:600 000, NORTH WEST 1:700 000, FREE STATE 1:700 000,GAUTENG 1:300 000

This archive contains the following data:A map of the occurrence of key invasive alien plants in the Luvuvhu Catchment, derived using a Random Forest classification of a Sentinel-2 image at 10m spatial resolution. (.tif file)A metadata file for the mapThe training data (.shp)A metadata file for the training dataCondition of useAll academics using this dataset in any scientific publication shall offer first right of refusal for co-authorship on any manuscripts.Practitioners are free to use the dataset.Disclaimer: This dataset is provided 'as is' without any guarantees or warranties of accuracy, completeness, or fitness for a particular purpose. Users are solely responsible for assessing and interpreting the data, and any reliance on the dataset is at their own risk. The publisher assumes no liability for any damages or losses resulting from the use or interpretation of the data. Users are advised to read and understand the limitations of the dataset before using it.Licence Type: CC-BY-SAThis license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-SA includes the following elements:BY: credit must be given to the creator.SA: Adaptations must be shared under the same terms.

This archive contains the following data:A map of the occurrence of key invasive alien plants in the uMzimvubu Catchment, derived using a Random Forest classification of a Sentinel-2 image at 10m spatial resolution. (.tif file)A metadata file for the mapThe training data (.shp)A metadata file for the training dataCondition of useAll academics using this dataset in any scientific publication shall offer first right of refusal for co-authorship on any manuscripts.Practitioners are free to use the dataset.Disclaimer: This dataset is provided 'as is' without any guarantees or warranties of accuracy, completeness, or fitness for a particular purpose. Users are solely responsible for assessing and interpreting the data, and any reliance on the dataset is at their own risk. The publisher assumes no liability for any damages or losses resulting from the use or interpretation of the data. Users are advised to read and understand the limitations of the dataset before using it.Licence Type: CC-BY-SAThis license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. If you remix, adapt, or build upon the material, you must license the modified material under identical terms. CC BY-SA includes the following elements:BY: credit must be given to the creator.SA: Adaptations must be shared under the same terms.

The boundaries of five different geographic areas -- North America, South America, Europe, Africa, and Asia -- are digitally represented in this collection of data files that can be used in the production of computer maps. Each of the five areas is encoded in three distinct files: (1) coastline, islands, and lakes, (2) rivers, and (3) international boundaries. There is an additional file for North America (Part 4: North America: Internal Boundaries) delineating state lines in the United States and provincial boundaries in Canada. The data in each of the files is hierarchically structured into subordinate geographic features and ranks, which may be used for output plotting symbol definition. The mapping scale used to encode the data ranged from 1:1 million to 1:4 million.

The Filled Land Surface Albedo Product for Southern Africa, which is generated from MOD43B3 Product (the official Terra/MODIS-derived Land Surface Albedo - http://geography.bu.edu/brdf/userguide/albedo.html ), is a subset of the global data set of spatially complete albedo maps computed for both white-sky and black-sky at 10 wavelengths. The data spatial extent is from approximately 5 degrees N to -30 degrees S latitude and 5 minutes E to 60 degrees E longitude and covers 7 sixteen day periods starting on July 11 through October 15, 2000.Map Products, containing spatially complete land surface albedo data, are generated at 1-minute resolution on an equal-angle grid. The maps are stored in separate HDF files for each wavelength, each 16-day period and each albedo type (white- and black-sky). Data belonging to black sky and white sky albedo have been zipped separately. This format allows the user to have flexibility to download and store only the data absolutely needed.The One-Minute Land Ecosystem Classification Product is a global (static map) data set of the International Geosphere-Biosphere Programme (IGBP) classification scheme stored on an equal-angle rectangular grid at 1-minute resolution. The dataset is generated from the official MODIS land ecosystem classification dataset, MOD12Q1 for year 2000, day 289 data (October 15, 2000). This dataset is used in generating the spatially complete albedo maps, but is also a stand-alone product designed for use by the user community. The Land Ecosystem Classification Map File product file is stored in Hierarchical Data Format (HDF).