Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the RV Algoa Voyage 239, May 2017
Nutrient data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017 from all stations. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management.
   
District Health Barometer 2018/19
The data are a reformatted version of the 2018/19 District Health Barometer (DHB) health indicator dataset provided by the HST. The intention of this publication was to provide an overview of the delivery of selected healthcare services in the public health sector across the provinces, districts and local municipalities/sub-districts of South Africa. The DHB has been an annual publication since 2005. The main focus of the 2018/19 publication is the Sustainable Development Goals (SDGs)a and the Universal Health Coverage (UHC)b index. Data are drawn from the electronic District Health Information Software (WebDHIS), the Ideal Clinic Realisation and Maintenance system, Statistics South Africa (Stats SA) surveys, the National Treasury Basic Accounting System (BAS), the Personnel Administration (PERSAL) system, the TIER.Net for Tuberculosis (TB) and antiretroviral (ART) data, the Electronic Drug-resistant Tuberculosis Register (EDRWeb), the National Income Dynamics Study (NiDS), and other National Department of Health (NDoH) information systems. The publication seeks to highlight inequities in health outcomes, health-resource allocation and health delivery, and to track the efficiency of health processes, across all provinces and districts. Modifications were made to the data table provided in line with Hadley Wickem`s `tidy data` standards for statistical research (10.18637/jss.v059.i10). The dates of the indices were also standardised to represent a single year in the YYYY format and a column of municipal codes was allocated to each row in line with the coding from the South African Municipal Demarcation Board. Lastly, centroids of the political areas described (national, provincial, district municipal, and local municipal areas) were added as applied in a final column.
   
Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the RV Algoa Voyage 242, August 2017
Nutrient data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): Aug 2017 from all stations. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management.
   
Analysed Nutrient data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the Algoa Voyage 244, November 2017
Nutrient data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): Nov 2017 from all stations. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management.
   
Analysed Nitrate isotope data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the RV Algoa Voyage 239, May 2017
Nitrate isotope data for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management.
   
Analysed primary production data from the 2017 Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruises
Analysed Particulate Organic Matter data, Nutrient data and Nitrate isotope data from the 2017 Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruises conducted in February, May, August and November. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management. IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterms. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.
   
Analysed Particulate Organic Matter data from the Integrated Ecosystem Programme: Southern Benguela (IEP:SB) cruise on the RV Algoa Voyage 239, May 2017
Particulate Organic Matter data (stable isotope) for the Integrated Ecosystem Programme: Southern Benguela (IEP:SB): May 2017. The IEP:SB is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management.
   
Environmental data collected for a study on the Impact of livestock grazing intensity on the plant diversity of species-rich montane grassland in the northern Drakensberg, South Africa
This data was collected and digitised by Thamsanqa Alfred Shezi as part of his thesis, "Impact of livestock grazing intensity on the plant diversity of species-rich montane grassland in the northern Drakensberg, South Africa". Environmental data determined for each plot included location, altitude, aspect, slope, geology, soil type, land type, distance to settlement, distance to the closest kraal, and distance to the nearest perennial water. Location and altitude were measured using a Garmin Global Positioning System (GPS). Distances, aspect and slope were determined using the Geographic Information System (GIS) (ArcMap ESRI 2010) and a 50 m Digital Elevation Model (DEM) (U.S. Geological Survey 2017). Only the sandstone geology was considered for sampling. Indicators of grazing pressure measured were the number of dung pats (cattle dung), and the amounts of moribund material and grazing offtake from the sward, and the extent of soil erosion. The numbers of cattle dung pats were counted and grazing offtake (percentage) loss of volume was estimated in a 50 x 50 m plot (90) containing the vegetation plot. The amounts of moribund material (percentage of volume) and of erosion (cattle paths) were estimated in the 5 x 5 m plot. Visual estimations used a scale of very little (0-10%), moderate (10-30%), and abundant/heavy (30-50%).
   
GrowthPotentialStudy2013 Municipalities
Vector-based polygon dataset suitable for 1:500,000 scale mapping and spatial analyses, derived from various data sources. Dataset includes a number of attributes that relate to growth potential classification, as well as six other indices. Refer to GPS2013 reportsee below.This study determined the growth potential and socio-economic needs of settlements in the Western Cape outside of the Cape Town metropolitan area using quantitative data (e.g. factors relating to socio-economic, economic, physical environmental, infrastructure and institutional aspects). The results of the quantitative analyses were combined with qualitative information (e.g. stakeholder engagements) to identify potential interventions that might unlock latent potential within settlements and regions.The quantitative analysis of growth potential was based on two fundamental and related concepts: inherent preconditions for growth and innovation potential. Five thematic indices were developed as the basis for modelling the growth preconditions (economic, physical, and infrastructure) and innovation potential (institutional and human capital) within each settlement and municipality. The analysis of growth potential must however also be framed within the context of the socio-economic needs within settlements and municipalities. A socio-economic needs index based on the methodology and criteria of a similar index developed bythe Western Cape Department of Social Development at municipal and ward level was implemented at settlement level. From interactions with users of the previous GPS products it became clear that these products were not always applied in the most effective and appropriate manner.Many users simply applied the overall composite Growth Potential Index for widely differing decision support requirements and ignored the other more targeted indices and indicators that the GPS provides. Several spatial indices and indicators aimed at supporting a range of decision support activities were thus developed in the GPS2013Please refer to WCG Growth Potential study available at https://www.westerncape.gov.za/eadp/sites/default/files/your-resource-library/2014%20Growth%20Potential%20Study%20of%20Towns%20(GPS).pdfPublication Date: 30 April 2014Field descriptions:For all indices 1=Very low; 2=Low; 3=Medium; 4=High; 5=Very highMUN - Municipality nameGROWTHPOT - Growth potential indexHUMANCAP - Human capital thematic index ECONOMIC - Economic thematic indexPHYSICAL - Physical thematic indexINFRASTR - Infrastructure thematic indexINSTITUT - Institutional thematic indexSOCNEEDS - Social Economic Needs index (proportional) results
   
GrowthPotentialStudy2013 Settlements
Vector-based polygon dataset suitable for 1:500,000 scale mapping and spatial analyses, derived from various data sources. Dataset includes a number of attributes that relate to growth potential classification, as well as six other indices. Refer to GPS2013 reportsee below.This study determined the growth potential and socio-economic needs of settlements in the Western Cape outside of the Cape Town metropolitan area using quantitative data (e.g. factors relating to socio-economic, economic, physical environmental, infrastructure and institutional aspects). The results of the quantitative analyses were combined with qualitative information (e.g. stakeholder engagements) to identify potential interventions that might unlock latent potential within settlements and regions.The quantitative analysis of growth potential was based on two fundamental and related concepts: inherent preconditions for growth and innovation potential. Five thematic indices were developed as the basis for modelling the growth preconditions (economic, physical, and infrastructure) and innovation potential (institutional and human capital) within each settlement and municipality. The analysis of growth potential must however also be framed within the context of the socio-economic needs within settlements and municipalities. A socio-economic needs index based on the methodology and criteria of a similar index developed bythe Western Cape Department of Social Development at municipal and ward level was implemented at settlement level. From interactions with users of the previous GPS products it became clear that these products were not always applied in the most effective and appropriate manner.Many users simply applied the overall composite Growth Potential Index for widely differing decision support requirements and ignored the other more targeted indices and indicators that the GPS provides. Several spatial indices and indicators aimed at supporting a range of decision support activities were thus developed in the GPS2013Please refer to WCG Growth Potential study available at https://www.westerncape.gov.za/eadp/sites/default/files/your-resource-library/2014%20Growth%20Potential%20Study%20of%20Towns%20(GPS).pdfPublication Date: 30 April 2014Field descriptions:For all indices 1=Very low; 2=Low; 3=Medium; 4=High; 5=Very highTOWN - Town/ settlement nameGROWTHPOT - Growth potential indexHUMANCAP - Human capitaly thematic index ECONOMIC - Economic thematic indexPHYSICAL - Physical thematic indexINFRASTR - Infrastructure thematic indexINSTITUT - Institutional thematic indexSOCNEEDS - Social Economic Needs index (proportional) results