cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/sarva.csag.10000363
title: Rainfall days per month (> 10mm) for Near Future (2046-2065)

description: Model Run: Near future (2046 - 2065) (Near future (2046 - 2065)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General Circulation Model (GCM) is accomplished by deriving the normative local response from the atmospheric state on a given day, as defined from historical observed data.  [1] http://www.csag.uct.ac.za/
DOI: 10.15493/sarva.saws.10000107
title: Seasonal total rainfall (mm per 3-month season) change from the 10% percentile projected for 2066-2095, relative to present (1976 - 2005), for MAM season under the RCP 4.5 pathway

description: Seasonal (MAM) rainfall (mm per month) change from the 10% percentile projected for 2066-2095, relative to present (1976 - 2005), under the RCP 4.5 pathway for the southern African region. To generate the image, nine coarse General Circulation Models (GCM) are downscaled to a finer spatial resolution (0.44°x 0.44°) using the Rossby Centre regional model (RCA4) forcing its lateral boundaries. The model simulated daily rainfall averages, which are used to generate projections of seasonal change. The projections are generated using the medium to low (RCP4.5) pathway which associates CO2 concentrations of approximately 560ppm by the year 2100. The associated RMSD it calculated and shows the uncertainty range of the projected model simulated residual values, and gives a relative perspective of spatial areas associated with higher and lower projection uncertainties.
DOI: 10.15493/sarva.beeh.10000207
title: February Standard Deviations Of Daily Reference Crop Evaporation (mm) Fao Penman-Monteith Equivalent

description: The first detailed maps for South Africa of Penman-Monteith equivalent reference crop, Erpm, were derived from monthly ratios of Erpm: A-pan using data at 174 sites (Crosby and Crosby, 1996). From these ratios, Schulze (1997) identified 14 `regions` of similar ratio patterns which were then used to map Erpm from gridded A-pan values. The maps in the present Atlas are based on a much more deterministic and more fundamental approach with daily maximum and minimum temperatures, and hence daily saturated vapour pressures, generated over South Africa on a 1` x 1` (1.7 x 1.7 km) raster for 50 years, based on research by Schulze and Maharaj (2004). Empirically determined month-by-month gridded values of actual vapour pressure for South Africa.

The FAO (1992) definition of Penman-Monteith derived reference crop evaporation (Erpm) is `The rate of evapotranspiration from a hypothetical crop with an assumed crop height of 0.12 m, a fixed canopy resistance of 70 s.m-1 and albedo of 0.23, which would closely resemble evapotranspiration from an extensive surface of green grass cover of uniform height, actively growing, completely shading the ground and not short of water`.
DOI: 10.48331/scielo.mkypud/hfeidf
title: 4-Edmundo_Cesar_Granada_Villalba.pptx

description: :unav
DOI: 10.48331/scielo.mkypud
title: Presentaciones de las Coordinaciones Nacionales - Reunión Red SciELO

description: Presentación de Edmundo César Granada Villalba en el panel Presentaciones de las Coordinaciones Nacionales de la Semana SciELO 25 Años. Página del evento: https://25.scielo.org/es
DOI: 10.15493/bea.data.10000026
title: AWB-NOT: All Woody Biomass - Pelleting

description: * Technical Challenges - Existing expertise and infrastructure in respect of `Working for Water` programmes in respect of harvesting and eradication projects required for conversion to electricity. It may be simpler and less risky to generate new sources of renewable electricity rather than converting existing power stations to co-firing. * Cost Challenges - There may be as many as 40 viable projects, all having a 20-year lifetime - with significant capital investment required. * Policy Challenges - The projects are feasible and well aligned with existing expertise and infrastructure in respect of `Working for Water` programmes. Integration with DEA `Working for Energy` required and incorporation into IPP programmes needed. * Environmental Challenges - The net impact on greenhouse gas emissions is large, despite land use change effects, given the significant reduction in GHG as CO2 equivalents in comparison to coal.
DOI: 10.15493/sarva.beeh.10000148
title: Moisture Growing Season Mean End Of Season Based On Fao (1978) Method

description: In order to ascertain when, on average, there is enough water in the soil for sustained plant growth to take place, not only does a certain amount of precipitation have to have occurred, but simultaneously the precipitation must exceed some lower threshold of plant evaporative losses for sustained growth to continue. An average moisture growing season over South Africa was determined by adapting a simple water budgeting approach of the FAO (1978), developed originally for agro-ecological zone mapping of Africa. Using this adapted method, the start of the moisture growing season was first determined followed by the determination of the end of the moisture growing season. From these, the duration of the moisture growing season could then be calculated.

The adapted FAO approach to determining moisture growing season is assumed that during the period when P ≥ 0.3Er sustained plant growth can take place, where P is median monthly precipitation (mm) and means monthly Eapan is taken as the reference potential evaporation, Er. Average daily magnitudes of P and Eapan were derived by interpolative techniques from their respective 1` x 1` grid values, and the above assumption of P ≥ 0.3Er was tested for. Note that the use of long-term climate averages yield only a simple and very smoothed general moisture growing season, in not accounting for any differences in soils nor for the probability of individual daily rainfall events occurring; however, the averaging does eliminate possible `false starts` growth early in the season when isolated rains may fall.
DOI: 10.15493/sarva.beeh.10000216
title: November Standard Deviations Of Daily Reference Crop Evaporation (mm) Fao Penman-Monteith Equivalent

description: The first detailed maps for South Africa of Penman-Monteith equivalent reference crop, Erpm, were derived from monthly ratios of Erpm: A-pan using data at 174 sites (Crosby and Crosby, 1996). From these ratios, Schulze (1997) identified 14 `regions` of similar ratio patterns which were then used to map Erpm from gridded A-pan values. The maps in the present Atlas are based on a much more deterministic and more fundamental approach with daily maximum and minimum temperatures, and hence daily saturated vapour pressures, generated over South Africa on a 1` x 1` (1.7 x 1.7 km) raster for 50 years, based on research by Schulze and Maharaj (2004). Empirically determined month-by-month gridded values of actual vapour pressure for South Africa.

The FAO (1992) definition of Penman-Monteith derived reference crop evaporation (Erpm) is `The rate of evapotranspiration from a hypothetical crop with an assumed crop height of 0.12 m, a fixed canopy resistance of 70 s.m-1 and albedo of 0.23, which would closely resemble evapotranspiration from an extensive surface of green grass cover of uniform height, actively growing, completely shading the ground and not short of water`.
DOI: 10.15493/sarva.beeh.10000042
title: Climatically Suitable Growth Areas for Eucalyptus GxN (grandis x nitens)

description: Eucalyptus GxN (grandis x nitens) is a high rainfall hybrid requiring MAPs > 850 mm, below which it becomes too dry. Its optimum MATs are 14 - 18 degree Celsius , with this hybrid becoming disease prone at MAT > 18 degree Celsius (Kunz, 2004).
DOI: 10.15493/sarva.beeh.10000437
title: Mean Maize Yield (T/Ha/Season) Ultra-Short Season Hybrid Plant Date: 15 December

description: This data set contains Maize, Zea mays L. in South Africa and is the country`s most important field and grain crop. Objectives of the study was to simulate maize yields, and their inter-annual, at a spatial resolution of Quaternary Catchments for 12 different combinations of three plant dates, viz. 15 October, 15 November and 15 December. This was done to evaluate which hybrid lengths and plant dates give the highest yields irrespective of plant dates and hybrid lengths respectively and also which hybrid lengths and plant dates give the lowest coefficients of variation (%) irrespective of plant dates and hybrid lengths respectively.
DOI: 10.15493/saeon.egagasini.24000005
title: The ASCA April 2016 raw Thermosalinograph data

description: The Agulhas System Climate Array (ACSA) is a mooring array and is designed to provide long-term observations of the Agulhas Current`s volume, heat and salt transport and its variability from mesoscale (eddies), through seasonal to interannual timescales. The ASCA shelf and tall moorings extend 200 km offshore along decending TOPEX/Jason satellite ground track # 96, through the core of the Agulhas Current, with CPIES measurements extending the array to 300 km offshore of Port Elizabeth. The data collected during this project have been obtained from various oceanographic instrumentation. This is the raw thermosalinograph data consisting of salinity and temperature readings.
DOI: 10.15493/sarva.beeh.10000419
title: Recharge to the Groundwater Store and Baseflow

description: This dataset contains recharge to the groundwater store and baseflow in South Africa (SA). Baseflows, consist of contributions to runoff from the intermediate/groundwater store which had been previously recharged. Reliable assessments of exploitable groundwater resources are essential, particularly for sustainable development in semi-arid areas, which are more heavily dependent on groundwater than the moister areas. In the distribution patterns of mean annual baseflow,  high values occur in the eastern and southwestern areas of SA and low values in the centre-west, many more unexpected highs and lows are present.
DOI: 10.25345/c5hq3s871
title: MassIVE MSV000093082 - Alterations in lipidome profiles distinguish early-onset hyperuricemia, gout, and the effect of urate-lowering treatment
title: Background Currently, it is not possible to predict whether patients with hyperuricemia (HUA) will develop gout and how this progression may be affected by urate-lowering treatment (ULT). Our study aimed to evaluate differences in plasma lipidome between patients with asymptomatic HUA detected &lt; 40 years (HUA&lt;40) and &gt; 40 years, gout patients with disease onset &lt; 40 years (Gout&lt;40) and &gt; 40 years, and normouricemic healthy controls (HC). Methods Plasma samples were collected from 94 asymptomatic HUA (77% HUA&lt;40) subjects, 196 gout patients (59% Gout&lt;40), and 53 HC. A comprehensive targeted lipidomic analysis was performed to semi-quantify 608 lipids in plasma. Univariate and multivariate statistics and advanced visualizations were applied. Results Both HUA and gout patients showed alterations in lipid profiles with the most significant upregulation of phosphatidylethanolamines and downregulation of lysophosphatidylcholine plasmalogens/plasmanyls. More profound changes were observed in HUA&lt;40 and Gout&lt;40 without ULT. Multivariate statistics differentiated HUA&lt;40 and Gout&lt;40 groups from HC with an overall accuracy of &gt; 95%. Conclusion Alterations in the lipidome of HUA and Gout patients show a significant impact on lipid metabolism. The most significant glycerophospholipid dysregulation was found in HUA&lt;40 and Gout&lt;40 patients, together with a correction of this imbalance with ULT. Keywords LC-MS, Lipidomics, Glycerophospholipids, Hyperuricemia, Gout, Urate-lowering treatment
DOI: 10.48331/scielo.wiw0cj/k0lirs
title: 2-Solange_Santos.pptx

description: :unav
DOI: 10.15493/bea.data.10000090
title: Subsistence Farming Areas

description: A subset of the Field Crop Boundaries data set, showing all subsistence farmland used for crop cultivation. Prepared by SAEON from data provided by DAFF.
DOI: 10.48331/scielo.wiw0cj
title: Os que fazemos: Plataformas de Acesso Aberto - 25 Anos da Rede SciELO

description: Apresentação de Solange Santos no painel Os que fazemos: Plataformas de Acesso Aberto da Semana SciELO 25 Anos. Página do evento: https://25.scielo.org/
DOI: 10.15493/sarva.csag.10000329
title: Rainfall days per month (> 10mm) for Far Future (2080 - 2100)

description: Model Run: Far future (2080 - 2100) (Far future (2080 - 2100)). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General Circulation Model (GCM) is accomplished by deriving the normative local response from the atmospheric state on a given day, as defined from historical observed data.  [1] http://www.csag.uct.ac.za/
DOI: 10.15493/saeon.fynbos.10a3668
title: 10A manual monthly rainfall May 1936 - April 1968

description: Monthly rainfall data collected by a Snowdon gauge with orifice at 1.2 meters above ground in the Lambrechtbos catchment in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/sarva.energy.10000018
title: AWB-NOT: All Woody Biomass - Pelleting (MW)

description: Biomass feasibility assesment dataset extracted from the BioEnergy Atlas for South Africa.

* Assessments are made of impacts of economy of scale, logistics, and placement on techno-economic feasibility of feedstock and processing combinations, leading to identification of a portfolio of feasible project options. These options are illustrative of areas where bioenergy is likely to be a competitive, sustainable alternative.

* Original dataset: https://dx.doi.org/10.15493/BEA.DATA.10000026

* BioEnergy Atlas Synopsis Report: https://dx.doi.org/10.15493/SAEON.BEA.DOCS.10000001
DOI: 10.15493/sarva.csag.10000192
title: Rainfall days per month for Current Climate (1950-1999)

description: Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General Circulation Model (GCM) is accomplished by deriving the normative local response from the atmospheric state on a given day, as defined from historical observed data.  [1] http://www.csag.uct.ac.za/
DOI: 10.15493/sarva.gb.10000012
title: Sectoral Gross Value Added (GVA) for electricity, gas and water supply (SIC4) as a stock from 1995 to 2016

description: The South African Gross Geographic Value Added (GVA) data for each economic sector per year since 1995 to 2016 was supplied by Quantec to the CSIR built environment. This data was disaggregated to a 500m grid using a dasymetric mapping algorithm (https://gap.csir.co.za/gap/images/documents/developing-a-geo-data-frame-using-dasymetric-mapping-principles-to-facilitate-data-integration). and is provided for each year
DOI: 10.15493/sarva.beeh.10000310
title: Monthly Means Of Daily Average Temperature (C) November

description: Under conditions of natural vegetation, mean temperatures are used to distinguish between three broad thermal divisions of plants, viz. mega-thermal plants, which require mean monthly temperatures above 20 degree Celsius for at least 4 months of the year; micro-thermal plants, which grow where 8 months or longer have means below 10 degree Celsius; and the meso-thermal plants of the mid-latitudes, which cover most of South Africa, and whose physiology is adapted to the strong seasonal rhythms which are experienced over most of the southern African subcontinent. Month-by-month variations of mean temperature influence the geographic range and the optimum growth areas of certain vegetation and crop species, especially those with life-cycles extending one year or less. 

Assuming a daily average temperature to be represented by the mean of that days minimum and maximum temperatures, these averages were derived from the 50 year (1950 – 1999) time series of quality controlled daily minimum and maximum temperatures which were generated from over 970 qualifying temperature stations using infilling and record extension techniques developed by Schulze and Maharaj (2004). From these point location time series, 50 years of daily mean temperature values were derived at each of 429 700 one arc minute (1.7 km x 1.7 km) grid points covering South Africa, using regionally and seasonally determined lapse rates and other physically appropriate spatial interpolation approaches (Schulze and Maharaj, 2004). From the daily values, monthly means and standard deviations of daily values for each month of the year could be computed for purposes of mapping and production of tables of statistics for each of the nine provinces of the RSA as well as for Swaziland and Lesotho.
DOI: 10.15493/sarva.csag.10000348
title: Precipitation 90th percentile for Current Climate (1950-1999)

description: Model Run: Control - Current Climate (Observed/current climate as modelled by climate model). The Self-Organizing Map Downscaling (SOMD) was developed at the Climate Systems Analysis Group (CSAG)[1], University of Cape Town. This is a leading empirical downscaled technique and provides meteorological station level response to global climate change forcing (See Hewitson and Crane (2006) for methodological details and Wilby et al. (2004) for a review of this and other statistical downscaling methodologies). Downscaling of a General Circulation Model (GCM) is accomplished by deriving the normative local response from the atmospheric state on a given day, as defined from historical observed data.  [1] http://www.csag.uct.ac.za/
DOI: 10.15493/saeon.egagasini.10000005
title: The ASCA July 2016 (SEAmester I) raw CTD profile data collected for station CTD001 - CTD023

description: The Agulhas System Climate Array (ACSA) is a mooring array and is designed to provide long-term observations of the Agulhas Current`s volume, heat and salt transport and its variability from mesoscale (eddies), through seasonal to interannual timescales. The ASCA shelf and tall moorings extend 200 km offshore along decending TOPEX/Jason satellite ground track # 96, through the core of the Agulhas Current, with CPIES measurements extending the array to 300 km offshore of Port Elizabeth. The data collected during the ASCA project have been obtained from various oceanographic instrumentation. This raw data was collected by the shipborne CTD (Conductivity, Temperature, Depth) sensor for the following stations at all depths: 001, 002, 003, 004, 005, 006, 007, 008, 009, 010, 011, 012, 013, 014, 015, 016, 017, 018, 019, 020, 021, 022 and 023.
DOI: 10.15493/saeon.fynbos.9b0912
title: 9B manual weekly rainfall January 2009 - September 2012

description: Weekly rainfall data collected by a Snowdon gauge fitted with a Nipher shield. Gauge orifice parallel to the slope, with orifice at 1.2 meters above ground in the Tierkloof catchment in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.48331/scielo.qeydty/u45ddh
title: 1-Fernanda_Beigel.pptx

description: :unav
DOI: 10.15493/saeon.fynbos.23022022
title: De Riet Farm rainfall data

description: Monthly rainfall records collected on De Riet farm, Northern Cape. The data was collected using a standard rain gauge. This record forms part of a collection of historical rainfall data submitted to SAEON. The data were generated by farmers on a voluntary basis and have been published as submitted.
DOI: 10.48331/scielo.qeydty
title: Los que hacemos Plataformas de Acceso Abierto - El papel de las Revistas Latinoamericanas frente a la creciente diversificación de los circuitos de publicación

description: Presentación de Fernanda Beigel en el panel Los que hacemos Plataformas de Acceso Abierto de la Semana SciELO 25 Años. Página del evento: https://25.scielo.org/es
DOI: 10.15493/sarva.beeh.10000158
title: Standard Deviations Of Daily Minimum Relative Humidity (%) September

description: Daily minimum and maximum relative humidity is necessary as relative humidity, defined for practical purposes as the ratio of actual to saturated vapour pressure, expressed as a percentage generally varies considerably in the course of a day because, despite actual vapour pressure, ed, remaining relatively constant, saturated vapour pressure, ea, varies curvilinearly with temperature. The minimum RH of a day is thus experienced during the hottest part of the day when ea is high and the ratio of ed : ea is therefore small. Conversely, the maximum RH of a day is experienced around sunrise when temperatures are low, thus ea is low and the ratio of ed : ea therefore approaches unity.

In computations of daily RHmin and RHmax, the uncorrected actual vapour pressure, ed , is assumed not to change significantly in the course of a day. Because uncorrected ed at any specific location has been shown to be predictable over South Africa on a month-by-month basis with a high degree of confidence when using predominantly geographical factors in multiple regression equations for each month the ed at any location is therefore held at a relatively constant value for any given month of the year, varying only slightly on a day-by-day basis within that month because temperature range is a variable in the regression equation. However, at that specific location the saturated vapour pressure, ea , can vary considerably from one day to the next, as well as within a given day between morning and midday, because it is related to temperature. Therefore, RHmin and RHmax can range considerably within a given day and vary markedly from one day to the next.
DOI: 10.15493/saeon.fynbos.141220-4
title: Rain gauge master metadata Fynbos Node September 2020

description: Metadata record including calibration and data quality notes for fourteen rain stations in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/dea.carbon.10000028
title: 2013-14 National Land-Cover – 72 classes

description: The 2013-14 South African National Land-cover dataset produced by GEOTERRAIMAGE as a commercial data product has been generated from digital, multi-seasonal Landsat 8 multispectral imagery, acquired between April 2013 and March 2014. In excess of 600 Landsat images were used to generate the land-cover information, based on an average of 8 different seasonal image acquisition dates, within each of the 76 x image frames required to cover South Africa. The land-cover dataset, which covers the whole of South Africa, is presented in a map-corrected, raster format, based on 30x30m cells equivalent to the image resolution of the source Landsat 8 multi-spectral imagery. The dataset contains 72 x land-cover / use information classes, covering a wide range of natural and man-made landscape characteristics. The original land-cover dataset was processed in UTM (north) / WGS84 map projection format based on the Landsat 8 standard map projection format as provided by the USGS.