cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15493/sarva.beeh.10000107
title: Eucalyptus grandis Growth Areas and Yield Estimation

description: Eucalyptus grandis is native to the east coasts of Queensland and New South Wales in Australia, where it goes by the common name of Rose Gum (Meskimen and Francis, 2005). In its native habitat E. grandis, with its pronounced taproot, grows to 55 m in height on the lower slopes in well drained soils. Determination of Climatically Optimum Growth Areas of Eucalyptus grandis have been defined in the ICFR`s Forestry Toolbox (Kunz, 2004), by mean annual precipitation (MAP) and mean annual temperature (MAT). This figure also shows the climatic conditions under which sub-optimum growth would take place because conditions may be too cold (snow/frost), too dry, because occasional drought may occur or because the trees may become diseased. Eucalyptus grandis Yield Estimates Based on Smith`s Rule-Based Approach Using Smith`s (1994) rule-based approach for estimating MAIs of E. grandis, and considering only his climatic criteria and not soil or management factors.
DOI: 10.15493/saeon.fynbos.2a3692
title: 2A manual daily rainfall January 1936 - April 1992

description: Daily rainfall data collected by a Snowdon gauge with orifice at 1.2 meters above ground at the Swartboschkloof weather station the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/sarva.csag.10000013
title: Mean of Minimum Temperature 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/nccis.data.10000013
title: Linear trend in annual total precipitation from very high daily rainfall (1921-2015) defined as when daily rainfall (RR) > 99th percentile of the baseline average

description: An updated analysis of trends in South African rainfall is presented in The Third National Communication (TNC) to UNFCCC published in 2018. The analysis builds on the studies of Kruger & Sekele (2012) and Mackellar et al. (2014). 

A total of 60 weather stations were used for the rainfall trend analysis spanning the period 1921-2015. Apart from the trends in the annual rainfall totals, long-term changes in rainfall can manifest in changes in rainfall extremes. An extreme rainfall trend analysis is also performed, based on rainfall extreme indices developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI) (Wang and Feng, 2013).  The base period, from which the annual index values of all indices are determined (except the annual maxima and minima) was selected as 1981 – 2010, which can be considered to be the present general norm for similar trend studies. The trends were tested for significance at the 95% confidence level.

Based on the data, there is strong evidence of statistically significant increases in rainfall occurring over the southern interior regions, extending from the western interior of the Eastern Cape and eastern interior of the Western Cape northwards into the central interior region of the Northern Cape, over the period 1921-2015. Extreme daily rainfall events have increased over these same areas, with these increases also being statistically significant and extending northwards into North West, the Free State and Gauteng. Over Limpopo there is strong evidence of statistically significant decreases in annual rainfall totals.
DOI: 10.15493/sarva.saws.10000114
title: Root Mean Square Difference between the nine ensemble member change anomalies of the seasonal total rainfall for the 10% percentile for 2066-2095 relative to 1976-2005, for the JJA season, under the RCP 4.5 pathway

description: Root Mean Square Difference for seasonal (JJA) 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/saeon.fynbos.20a8989
title: 20A manual weekly rainfall September 1989 - December 1989

description: Weekly rainfall data collected by a Snowdon gauge with orifice at 1.2 meters above ground at Uitkyk in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/sarva.csag.10000177
title: Rainfall days per month (> 2mm) 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/sarva.csag.10000444
title: Rainfall days per month (> 2mm) 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.csag.10000228
title: Rainfall days per month (> 2mm) 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: 10.5683/sp2/snw3yo
title: Brain aging and speech perception in noise: effects of background noise and talker variability

description: This two-experiment project was conducted at the Speech neuroscience laboratory in Quebec City (www.speechneurolab.ca). It aimed to investigate the impact of background noise and talker variability on speech perception performance (sensitivity, reaction time) in healthy young and older adults using a multi-talker auditory syllable discrimination task, and to clarify underlying neurobiological mechanisms using multimodal MRI. As part of the project, we developed and standardized a multi-talker auditory syllable discrimination task. Syllables were presented in quiet or in background noise (pink noise). In Experiment 1, we examined the relationship between speech perception, hearing and auditory attention in 83 participants aged 19 to 87 years. In Experiment 2, we examined the relationship between speech perception in noise and brain structure and function using magnetic resonance imaging (MRI) in a subset of 32 participants from Experiment 1. The project was approved by the Comité d’éthique de la recherche sectoriel en neurosciences et santé mentale, Institut Universitaire en Santé Mentale de Québec (#360-2014). Here we share all stimulus files, stimulus information and experiment files for both experiments. We also share uncorrected and corrected group MRI data (average brain, functional and structural MRI group maps). Individual data (behavioural and MRI), cannot be shared because participants did not consent to individual data sharing. To be meaningful, the behavioural data would need to contain information such as age, sex, etc. and such information could lead to the identification of the participants. The study is published in the open access journal Neuroimage: Tremblay, P., Brisson, V., Deschamps, I. (2020). Brain aging and speech perception in noise: effects of background noise and talker variability. Neuroimage, 227, 117675. https://doi.org/10.1016/j.neuroimage.2020.117675
DOI: 10.15493/sarva.saws.10000140
title: Root Mean Square Difference between the nine ensemble member change anomalies of the annual total rainfall for the 90% percentile for 2066 - 2095 relative to 1976-2005, under the RCP 8.5 pathway

description: Root Mean Square Difference for nnual total rainfall (mm per year) change from the 90% percentile projected for 2066-2095, relative to present (1976 - 2005), under the RCP 8.5 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 annual change. The projections are generated using the high (RCP8.5) pathway which associates CO2 concentrations of approximately 950ppm 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/saeon.gfw.10000011
title: Brotherton higher plant diversity and cover abundance data

description: Plant diversity and composition was recorded at the Brotherton burning trial in the summer of 2018. The trial has had near consistent application of a range of fire-return interval and burn season treatments since 1981. Cover abundance of higher plants was estimated using the Domin-Krajina scale in twenty, square, two meter squared quadrats evenly placed in each treatment plot. A total of 21 plots representing seven different fire treatments are replicated randomly over three blocks. This diversity sampling forms part of the South African Environmental Observation Network`s and Ezemvelo KwaZulu-Natal Wildlife`s long-term biodiversity observation program. Additional information regarding the trial and dataset can be obtained from the related manuscript on the influence of fire regimes, notably pyrodiversity on plant diversity.
DOI: 10.15493/sarva.beeh.10000417
title: Gross Irrigation Demand April Schedule: 20 Mm Net, 7 Day Cycle

description: This data set contains the GROSS IRRIGATION DEMAND Schedule: 20 mm net, 7 day cycle in South Africa. Gross irrigation demand is the gross irrigation water  that needs to be abstracted from a source of water (e.g. dam) to satisfy the irrigated crop`s water requirement. Fixed Cycle / Fixed Amount Irrigation, is assumed to be by overhead irrigation with conveyance, wind/spray drift and interception losses of 10%, 12% and 1.5 mm per event thus being assumed, in each case with a 7 day cycle. The 20 mm day net application represents an equivalent of 3 mm water/day actually available to the plant.
DOI: 10.15493/sarva.csag.10000046
title: Rainfall days per month (> 2mm) 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.beeh.10000426
title: Mean Annual White Water Flows (mm)

description: This data set contains the MEAN ANNUAL "WHITE" WATER FLOWS (mm) in South Africa. The study intended to determine the major driver of change of terrestrial water balance over both space and time. Due to the manipulation of the Earth`s natural land cover through conversions for food and fodder production, both rainfed and irrigation, as well as for human habitation. The conversions from natural land covers result in changes in the partitioning of precipitation into "white" water, i.e. unproductive evaporation of precipitated water from the soil surface and from open water bodies.
DOI: 10.15493/sarva.csag.10000061
title: Rainfall days per month 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.dws.10000002
title: Ecoregions (Level 1) for South Africa

description: Ecoregions (Level I, version 2005) for South Africa derived from terrain and vegetation, with some consideration of altitude, rainfall, runoff variability, air temperature, geology, soil.
DOI: 10.15493/saeon.fynbos.12b0912
title: 12B 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 Biesievlei catchment in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/saeon.fynbos.wa6191
title: Waterval Belfort stream flow volume May 1961 - October 1991

description: Hourly stream flow in cubic meters estimated from stage height measured with Belfort 5-FW liquid level recorder at a V-notch weir in Tierkloof catchment in the Jonkershoek valley, Western Cape, South Africa.
DOI: 10.15493/sarva.sdg.10000003
title: Total population by sex and age from the 2011 census

description: Total population from the 2011 census data, dasymetrically mapped to a 500m grid using the 2008 spot dwelling count. The data provides an indication of the total number of people per 500m grid cell and is further disaggregated according to gender and and age categories "0-5";"6-18";"19-30";"31-50";"51-65";"66-80";"81-120".
DOI: 10.15493/sarva.beeh.10000423
title: Mean Annual Green Water Flows (mm)

description: This data set contains the MEAN ANNUAL "GREEN" WATER FLOWS (mm) in South Africa. The study intended to determine the major driver of change of terrestrial water balance over both space and time. Due to the manipulation of the Earth`s natural land cover through conversions for food and fodder production, both rainfed and irrigation, as well as for human habitation. The conversions from natural land covers result in changes in the partitioning of precipitation into so-called "green" water, i.e. productive transpiration by plants of the water which is stored in the root zone of the soil profile.
DOI: 10.15493/saeon.egagasini.24000007
title: The ASCA July 2016 (SEAmester I) raw Thermosalinograph

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 raw Thermosalinograph (TSG) data consists of temperature and salinity readings.
DOI: 10.15493/sarva.beeh.10000393
title: Vapour Pressure Deficit (kPa) August

description: Daily values of vapour pressure deficit (VPD) are, however, required far more frequently, particularly when modelling crop potential evaporation using the Penman- Monteith equation (Penman, 1948). In this section a method used to estimate VPD is outlined, the method is verified and then maps and statistics of VPD are presented.

The hypothesis in estimating daily values of VPD at any specified location in South Africa is that actual VP, actual vapour pressure, which is considered to be a conservative climate element, and which may be derived from the monthly regression equations be held constant at that location for a given month. The fluctuating day-to-day daily temperature values at that location are then used with the Tetens (1930) formula given above to calculate a daily saturated VP, saturated vapour pressure. From actual vapour pressure and saturated vapour pressure daily values of VPD (and RH, if desired) can then be computed. This approach is known as the Schulze-Chapman model.
DOI: 10.15493/sarva.saws.10000041
title: Seasonal mean near-surface (2m) temperature (°C) change from the 10% percentile projected for 2036-2065, relative to present (1976 - 2005), for JJA season under the RCP 4.5 pathway

description: Seasonal (JJA) mean near-surface (2m) temperature (°C) change from the 10% percentile projected for 2036-2065, 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 temperature 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.10000101
title: Climatically Optimum Growth Areas Litchis Criterion 1: Monthly Mean Temp = 10C, May - July

description: Litchis, Litchi chinensis, are indigenous to subtropical southern China and were first imported to South Africa from Mauritius in the 1870s (ARC, 2005). Of the 7 000 tons of litchis produced annually in South Africa, with a gross value exceeding R25 million, about 60 percent  come from Mpumalanga, 38 percent  from Limpopo and 2 percent from KwaZulu-Natal (Statistics SA, 2002; NDA, 2005).
DOI: 10.15493/sarva.csag.10000316
title: Median monthly precipitation (mm) 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.10000204
title: Root Mean Square Difference between the nine ensemble member change anomalies of the seasonal total rainfall for the 10% percentile for 2036 - 2065 relative to 1976-2005, for the MAM season, under the RCP 8.5 pathway

description: Root Mean Square Difference for seasonal (MAM) mean rainfall (mm per month) from the 10% percentile projected for 2036-2065, relative to present (1976 - 2005), under the RCP 8.5 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 high (RCP8.5) pathway which associates CO2 concentrations of approximately 950ppm 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.