Find research datasets worth reusing

Figure 23 in Unexpected diversity: ten new species of Homadaula Lower, 1899 from Africa and the Arabian Peninsula (Galacticoidea: Galacticidae)

Figure 23 – Male genitalia of Homadaula saharaensis sp. nov., a – lateral, b – dorsal, c – ventral, scale bar: 0.5 mm.

Figure 2 in Unexpected diversity: ten new species of Homadaula Lower, 1899 from Africa and the Arabian Peninsula (Galacticoidea: Galacticidae)

Figure 2 – Homadaula watamomaritima Mey, 2005, female genitalia, a – lateral view, b -tergum VII and VIII, dorsal aspect, c – ventral aspect, scale bar: 0.5 mm.

Figure 21 in Unexpected diversity: ten new species of Homadaula Lower, 1899 from Africa and the Arabian Peninsula (Galacticoidea: Galacticidae)

Figure 21 – Male genitalia of Homadaula peregovitsi sp. nov., a – lateral, b – dorsal, c – ventral, scale bar: 0.5 mm.

opencc-by-4.0Aug 2024View details →

CropSuite – Crop suitability assessment for 48 crops under rainfed and irrigated conditions for Africa

Here, we provide all data and maps for the paper submitted to Geoscientific Model Development (GMD). The maps include the crop suitability, climate suitability, most limiting factor, potential for multiple cropping, the optimal sowing date and the suitable sowing days for 48 crops for Africa with and without the consideration of climate variability. <div> <ol> <li>Alfalfa (Medicago sativa)</li> <li>Arabica Coffee (Coffea arabica)</li> <li>Avocado (Persea americana)</li> <li>Banana (Musea spp.)</li> <li>Barley (Hordeum vulgare)</li> <li>Beans (Phaseolus vulgaris)</li> <li>Cabbage (Brassica oleracca)</li> <li>Carrot (Daucus carota)</li> <li>Cashew (Anacardium occidentale)</li> <li>Cassava (Manihot esculenta)</li> <li>Castor Bean (Ricinus commuis)</li> <li>Chickpea (Cicer arietinum)</li> <li>Citrus (Citrus spp.)</li> <li>Cocoa (Theobroma cacao)</li> <li>Coconut (Cocos nucifera)</li> <li>Cotton (Gossypium hirsutum)</li> <li>Cowpea (Vigna unguiculata)</li> <li>Green Pepper (Capsium annuum)</li> <li>Groundut (Arachis hypogaea)</li> <li>Guava (Psidium guijava)</li> <li>Maize (Zea mais)</li> <li>Mango (Mangifera indica)</li> <li>Millets (Pennisetum americanum)</li> <li>Oil Palm (Elaeis guineensis)</li> <li>Olive (Olea europacae)</li> <li>Onion (Allium cepa)</li> <li>Papaya (Carica papaya)</li> <li>Pea (Pisum sativum)</li> <li>Pineapple (Ananas comosus)</li> <li>Potato (Solanum tuberosum)</li> <li>Rapeseed (Brassica napus)</li> <li>Rice (Oryza sativa)</li> <li>Robusta Coffee (Coffea canephora)</li> <li>Rubber tree (Hevea brasiliensis)</li> <li>Rye (Secale cereale)</li> <li>Safflower (Carthamus tinctorius)</li> <li>Sesame (Sesamum indicum)</li> <li>Sorghum (Sorghum bicolor)</li> <li>Soy (Glycine maximum)</li> <li>Sugar Cane (Saccharum officinarum)</li> <li>Sunflower (Helianthus annus)</li> <li>Sweet Potato (Ipomoea batatas)</li> <li>Tea (Camellia senesis)</li> <li>Tobacco (Nicotiana tabacum)</li> <li>Tomato (Solanum lycopersicum esculentum)</li> <li>Watermelon (Colocynthis citrullus)</li> <li>Wheat (Triticum aesticum)</li> <li>Yam (Dioscorea)</li> </ol> </div> The maps are provided for each crop seperately for rainfed and irrigated conditions and combined using data on currently irrigated areas based on Maier et al. (2018). In addition, maps for the comparison between crop suitability and MapSPAM2020 are provided. Zabel, Knüttel, Poschlod (2024): CropSuite – A comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Preprint. DOI: <a href="https://doi.org/10.5194/egusphere-2024-2526">https://doi.org/10.5194/egusphere-2024-2526</a>.

opencc-by-4.0Sep 2022View details →

Solar and meteorological data collected from the Durban station (South Africa) by the ENERGY-lab at the University of La Reunion between August 2013 and October 2018

Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats. Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>. Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores. ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.

opencc-zeroAug 2024View details →

National Checklists: South Africa Species List

Data from: GBIF.org (23 January 2025) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.vd2ajk" target="_blank" rel="noopener">https://doi.org/10.15468/dl.vd2ajk</a>

Data for the paper « An all-Africa dataset of energy model "supply regions" for solar PV and wind power »

This dataset contains data provided alongside the paper "An all-Africa dataset of energy model “supply regions” for solar PV and wind power" by Sterl et al. (2022). It concerns a novel representative subset of attractive sites for solar PV and onshore wind power for the entire African continent. We refer to these sites as “Model Supply Regions” (MSRs). This MSR dataset was created from an in-depth analysis of various existing datasets on resource potential, grid infrastructure, land use, topography and others (see Methods), and achieves hourly temporal resolution and kilometre-scale spatial resolution. This dataset fills an important research need by closing the gap between comprehensive datasets on African VRE potential (such as the Global Solar Atlas and Global Wind Atlas) on the one hand, and the input needed to run cost-optimisation models on the other. It also allows a detailed analysis of the trade-offs involved in exploiting excellent, but far-from-grid resources as compared to mediocre but more accessible resources, which is a crucial component of power systems planning to be elaborated for many African countries. Five separate datasets are included: Folder (1) provides shapefiles of each country's overall feasible area for developing solar and wind power projects, under the restrictions/criteria mentioned above and described in Sterl et al. (2022). Folder (2) provides the best 5% ("best" measured by expected LCOE, from lowest to highest, including grid and road extension costs; 5% measured in terms of coverage of a country's area) of each country's solar and wind development potential, including hourly time series for model input. Folder (3) provides the corresponding shapefiles. Folder (4) provides simplified/aggregated results in terms of MSR clusters (see Sterl et al. 2022 for details), alongside hourly time series based on the meteorological year 2018. The amount of clusters was chosen to be 2, 5 or 10 depending on country size. Folder (5) provides PDF-file maps at the country level, showing resource strength and clustering outcomes by MSR (post-screening). Explanations of the headers in any spreadsheet files are provided in the Supplementary Information of Sterl et al. (2022). Countries/territories included in the dataset:  Algeria Angola Benin Botswana Burkina Faso Burundi Cameroon Central African Republic Chad Congo Republic Democratic Republic of the Congo Djibouti Egypt Equatorial Guinea Eritrea Eswatini Ethiopia Gabon The Gambia Ghana Guinea Guiné-Bissau Côte d'Ivoire Kenya Lesotho Liberia Libya Madagascar Malawi Mali Mauritania Morocco Mozambique Namibia Niger Nigeria Rwanda Senegal Sierra Leone Somalia South Africa South Sudan Sudan Togo Tunisia Uganda Tanzania Zambia Zimbabwe   References Sterl, S., Hussain, B., Miketa, A. et al. An all-Africa dataset of energy model “supply regions” for solar photovoltaic and wind power. Sci Data 9, 664 (2022). <a href="https://doi.org/10.1038/s41597-022-01786-5">https://doi.org/10.1038/s41597-022-01786-5</a> See also Sterl, S. (2024). Solar PV and wind power Model Supply Region (MSR) dataset as energy model input for countries in Central and South America (1.0.0) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10650822" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10650822</a>

opencc-by-4.0Feb 2023View details →

A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations

This information is lists of alien species regulated in South Africa under the National Environmental Management: Biodiversity Act in an accessible form. The first worksheet is essentially metadata. The second worksheet is intended to be a link between any taxa listed or proposed for listing and various taxonomic backbones. The third worksheet is intended to provide a list of taxonomically verified names linked to the current lists. The other worksheets link to particular versions of the regulations (including version sent for public comment that were never published), the intention is for this to be an exact copy (including formatting), please report any inconsistencies between this and the published version to john.wilson2@gmail.com, but before doing so please double-check that what is presented here, is not how it is presented in the lists themselves. The data were extracted by John Wilson at various dates from pdfs in the government gazette, contact john.wilson2@gmail.com For further details please see: Wilson JRU, Kumschick S (2024). The regulation of alien species in South Africa. South African Journal of Science. vol. 120, issue 5/6, Art. #17002. https://doi.org/10.17159/sajs.2024/17002  If only the database is to be cited, cite as Wilson, J. R. (2025) A list of taxa currently and historically regulated under South Africa's National Environmental Management: Biodiversity Act, Alien & Invasive Species Regulations. v1.1(20250325) doi: 10.5281/zenodo.15082537 (NOTE CHECK FOR LATEST VERSION ) For a full description of metadata see: the latest species list available at iasreport.sanbi.org.za/ or http://dx.doi.org/10.5281/zenodo.8217211

Fig. 8 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 8. Lobohalacarus cf. weberi, ♀ (SPbU 256(20)). A. Total view, black arrows indicate spines on genua I, PhC. B. Ventral shield, white arrowheads indicate bases of perigenital setae, PhC. C. Frontal spine, DIC. D. Genital opening, white arrowheads indicate genital acetabula, DIC. Scale bars: A = 100 µm; B = 50 µm; C = 10 µm; D = 5 µm.

Fig. 6 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 6. Mesobiotus anastasiae sp. nov., paratype (SPbU_Tar16). Eggs. A–C. Total view of the egg, SEM. D–F. Details of the egg surface, white arrowheads indicate pores above the collar, white arrows indicate pores below the collar, SEM. Scale bars: A–C = 20 µm; D–F = 5 µm.

Fig. 3 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 3. Mesobiotus anastasiae sp. nov., bucco-pharyngeal apparatus. A, E–O. Paratype, ♀ (SPbU 256(9)). B–D. Holotype, ♀ (SPbU 256(8)). A. Total dorso-ventral view of the bucco-pharyngeal apparatus, DIC. B. Ventral row of macroplacoids, focused on their outer surface, DIC. C. Ventral row of macroplacoids, focal plane shifted deeper into the parynx, black arrowheads indicate appendices of the third macroplacoid bent inward, DIC. D. Lateral rows of macroplacoids, black arrowheads indicate appendices of the third macroplacoid bent inward, DIC. E. Ventral row of macroplacoids, focused on their outer surface; note the absence of the preterminal constriction of the third macroplacoid, DIC. F–O. Oral cavity armature, dorsal (F–H, K–M) and ventral view (I–J, N–O), black arrowheads indicate teeth of the first band, F–J = PhC, K–O = DIC. Scale bars: A = 10 µm; B–O = 5 µm.

Fig. 2 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 2. Mesobiotus anastasiae sp. nov., cuticular sculpture. A. Paratype (SPbU 256(18)). Sculpture of the dorsal body surface, PhC. B–D. Paratype (SPbU_Tar16). B. High magnification of the sculpture of the dorsal body surface, SEM. C. Dorso-lateral zone of concentrated cuticular dots, SEM. D. Dot-like sculpture on the dorsal side of hind legs, SEM. Scale bars A, C, D = 5 µm; B = 2 µm.

Fig. 1 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 1. Mesobiotus anastasiae sp. nov., total view. A. Holotype, ♀ (SPbU 256(8)). Dorso-ventral view, PhC. B. Paratype (SPbU_Tar16). Lateral view in SEM. Scale bars = 50 µm.

Fig. 5 in Integrative description of Mesobiotus anastasiae sp. nov. (Eutardigrada, Macrobiotoidea) and first record of Lobohalacarus (Chelicerata, Trombidiformes) from the Republic of South Africa

Fig. 5. Mesobiotus anastasiae sp. nov., eggs. A–F. Paratype (SPbU 256(15)). G–I. Paratype (SPbU 256(4)). A. Total view of the egg surface, PhC. B. Total view of the optical section of the embryonated egg, PhC. C–D. Details of the egg surface, DIC, PhC. E. Optical section of the egg process, black arrowhead indicates pore, DIC. F–I. Optical sections of different egg processes, black arrowheads indicate collar, PhC. Scale bars: A–B = 20 µm; C–D = 10 µm; E–I = 5 µm.

opencc-zeroOct 2021View details →

dryad40/100

Data from: Evolution of dispersal, habit, and pollination in Africa pushed Apocynaceae diversification after the Eocene-Oligocene climate transition

Apocynaceae (the dogbane and milkweed family) is one of the ten largest flowering plant families, with approximately 5,350 species and diverse morphology and ecology, ranging from large trees and lianas that are emblematic of tropical rainforests, to herbs in temperate grasslands, to succulents in dry, open landscapes, and to vines in a wide variety of habitats. Despite a specialized and conservative basic floral architecture, Apocynaceae are hyperdiverse in flower size, corolla shape, and especially derived floral morphological features. These are mainly associated with the development of corolline and/or staminal coronas and a spectrum of integration of floral structures culminating with the formation of a gynostegium and pollinaria—specialized pollen dispersal units. To date, no detailed analysis has been conducted to estimate the origin and diversification of this lineage in space and time. Here, we use the most comprehensive time-calibrated phylogeny of Apocynaceae, which includes approximately 20% of the species covering all major lineages, and information on species number and distributions obtained from the most up-to-date monograph of the family to investigate the biogeographical history of the lineage and its diversification dynamics. South America, Africa, and Southeast Asia (potentially including Oceania), were recovered as the most likely ancestral area of extant Apocynaceae diversity; this tropical climatic belt in the equatorial region retained the oldest extant lineages and these three tropical regions likely represent museums of the family. Africa was confirmed as the cradle of pollinia-bearing lineages and the main source of Apocynaceae intercontinental dispersals. We detected 12 shifts toward accelerated species diversification, of which 11 were in the APSA clade (apocynoids, Periplocoideae, Secamonoideae, and Asclepiadoideae), eight of these in the pollinia-bearing lineages and six within Asclepiadoideae. Wind-dispersed comose seeds, climbing growth form, and pollinia appeared sequentially within the APSA clade and probably work synergistically in the occupation of drier and cooler habitats. Overall, we hypothesize that temporal patterns in diversification of Apocynaceae was mainly shaped by a sequence of morphological innovations that conferred higher capacity to disperse and establish in seasonal, unstable, and open habitats, which have expanded since the Eocene-Oligocene climate transition.

Fig. 5 in The Smicronychini of southern Africa (Coleoptera, Curculionidae): Review of the tribe and description of 12 new species

Fig. 5 (opposite page). Penis of Smicronyx from southern Africa, in dorsal (left) and lateral (right) view. A. Sharpia madibai sp. nov., ♂, holotype (SAMC). B. Afrosmicronyx cycnii sp. nov., ♂, holotype (SAMC). C. Afrosmicronyx louwi sp. nov., ♂, holotype (SAMC). D. Afrosmicronyx marshalli sp. nov., ♂, holotype (SANC). E. Afrosmicronyx nebulosipennis sp. nov., ♂, holotype (BMNH). F. Smicronyx similis sp. nov., ♂, holotype (SANC). G. Smicronyx pseudocoecus sp. nov., ♂, holotype (SAMC). H. Smicronyx paucisquamis sp. nov., ♂, holotype (SAMC). I. Smicronyx fallax (Gyllenhal, 1836), ♂, neotype (NHRS). J. Smicronyx australis sp. nov., ♂, holotype (SAMC). K. Smicronyx pauperculus Wollaston, 1864, ♂, specimen from Tanzania. L. Smicronyx san sp. nov., ♂, holotype (SAMC), bred from Chironia baccifera L. M. Smicronyx drakensbergensis sp. nov., ♂, holotype (TMSA). N. Smicronyx zonatus Haran, 2018, ♂, paratype (CBGP), specimen from the Western Cape Province of the Republic of South Africa. O. Smicronyx lutulentus Dietz, 1894, ♂ (CBGP). P. Smicronyx namibicus Haran, 2018, ♂, holotype (MNHN), specimen from Tanzania. Scale bars: 100 μm.

Fig. 3 in The Smicronychini of southern Africa (Coleoptera, Curculionidae): Review of the tribe and description of 12 new species

Fig. 3. Head and prothorax in lateral view of species of Smicronyx from southern Africa (Part 1). A. Sharpia madibai sp. nov., ♂, holotype (SAMC). B. Afrosmicronyx cycnii sp. nov., ♂, holotype (SAMC). C. Afrosmicronyx louwi sp. nov., ♂, holotype (SAMC). D. Afrosmicronyx marshalli sp. nov., ♂, holotype (SANC). E. Afrosmicronyx nebulosipennis, sp. nov., ♂, holotype (BMNH). F. Smicronyx gracilipes sp. nov., ♀, holotype (SAMC). G. Smicronyx similis sp. nov., ♂, holotype (SANC). H. Smicronyx pseudocoecus sp. nov., ♂, holotype (SAMC). Scale bars: 0.5 mm.

Fig. 6 in The Smicronychini of southern Africa (Coleoptera, Curculionidae): Review of the tribe and description of 12 new species

Fig. 6. Habitus in natura, host plants and habitats of Smicronyx of southern Africa. A. S. fallax (Gyllenhal, 1863) on Cuscuta campestris Yunck, 1932. B. Cuscuta campestris. C. S. pseudocoecus sp. nov. on Cuscuta sp. D. Cuscuta nitida E. Mey ex Choisy, host of S. pseudocoecus sp. nov. and S. australis sp. nov. E. S. san sp. nov. on Chironia baccifera L. F. Sebaea Sol. ex R.Br. sp., host of S. san sp. nov. G. Orphium frutescens L. (E. Mey), host of S. san sp. nov. and surrounding fynbos vegetation. H. Chironia baccifera, host of S. san sp. nov. I. S. zonatus Haran, 2018, in copula. J. Orobanchaceae Vent., host of S. zonatus growing in a marshy environment at the base of Cyperaceae Juss.

Fig. 4 in The Smicronychini of southern Africa (Coleoptera, Curculionidae): Review of the tribe and description of 12 new species

Fig. 4. Head and prothorax in lateral view of species of Smicronyx from southern Africa (Part 2). A. Smicronyx paucisquamis sp. nov., ♂, holotype (SAMC). B. Smicronyx fallax (Gyllenhal, 1836), ♂, neotype (NHRS). C. Smicronyx australis sp. nov., ♂, holotype (SAMC). D. Smicronyx san sp. nov., ♂, bred from Chironia baccifera L., holotype (SAMC). E. Smicronyx drakensbergensis sp. nov., ♂, holotype (TMSA). F. Smicronyx lutulentus Dietz, 1894, ♂ (CBGP). Scale bars: 0.5 mm.

Fig. 1 in The Smicronychini of southern Africa (Coleoptera, Curculionidae): Review of the tribe and description of 12 new species

Fig. 1. Habitus of species of Smicronychini from southern Africa (Part 1). A. Sharpia madibai sp. nov., ♂, holotype (SAMC). B. Afrosmicronyx cycnii sp. nov., ♂, holotype (SAMC). C. Afrosmicronyx louwi sp. nov., ♂, holotype (SAMC). D. Afrosmicronyx marshalli sp. nov., ♂, holotype (SANC). E. Afrosmicronyx nebulosipennis sp. nov., ♂, holotype (BMNH). F. Smicronyx gracilipes sp. nov., ♀, holotype (SAMC). G. Smicronyx similis sp. nov., ♂, holotype (SANC). H. Smicronyx pseudocoecus sp. nov., ♂, holotype (SAMC). I. Smicronyx paucisquamis sp. nov., ♂, holotype (SAMC). J. Smicronyx fallax (Gyllenhal, 1836), ♂, neotype (NHRS). K. Smicronyx australis sp. nov., ♂, holotype (SAMC). L. Smicronyx pauperculus Wollaston, 1864, ♂, specimen from Tanzania. Scale bars: 1 mm.