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1,558 results for “southern Africa”
FIGURE 4 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 4. Seed diversity in Pauridia. A, B, P. capensis (Snijman 1568); C, D, P. canaliculata (Snijman 1569); E, F, P. flaccida (Snijman 2100); G, H, P. pusilla (Snijman 1864). Scale bars A, E, G = 30 µm; B, D, F, H = 10 µm; C = 100 µm. SEM by Miranda Waldron.
FIGURE 3 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 3. Flower diversity in Pauridia. A, P. trifurcillata; B, P. umbraticola; C, P. pusilla; D, P. longituba; E, P. linearis; F, P. gracilipes subsp. speciosa; G, P. curculigoides; H, P. monophylla; I, P.capensis; J, P. canaliculata; K, P. alticola. Photographs by J.C. Paterson-Jones.
FIGURE 9. Pauridia flaccida. A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 9. Pauridia flaccida. A, whole plant; B, leaf in transverse section; C, stamen in dorsal view; D, style and stigma branches; E, ovary in transverse section; F, capsule with seeds; G, seed. Scale bar A = 10 mm; B, E = 1.3 mm; C, D = 2.5 mm; F = 6 mm. Scale bar G = 0.5 mm. Drawn by Tracey Nowell from Snijman 2372 (NBG!).
FIGURE 2 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 2. Diagrammatic transverse sections of leaves in Pauridia. A, P. linearis (Snijman 2943); B, P. monticola subsp. monticola (Snijman 2046); C, P. pusilla (Snijman 1864); D, P. flaccida (Snijman 2053); E, P. affinis (Taylor 7132); F, P. curculigoides (Snijman 2041); G, P. gracilipes subsp. gracilipes (Snijman 2042); H, P. monophylla (Snijman 2038); I, P. scullyi (Snijman 2022); J, P. ovata (Snijman 2047). Scale bar A, B, E, F = 0.8 mm; C, D, H = 0.4 mm; G, I, J = 1 mm. Drawn by Tracey Nowell from specimens in NBG!
FIGURE 1 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 1. Corm diversity in Pauridia. A, P. flaccida (Snijman 2100); B, P. serrata subsp. albiflora (Barker 6539); C, P. affinis (Barker 2426); D, P. capensis (Snijman 2098); E, P. aquatica (Snijman 2103); F, P. pygmaea (Salter 8933); G, P. ovata (Snijman 2047). Scale bar A, C, D, F = 10 mm; B, E, G = 20 mm. Drawn by Nicci Page-Cairns from specimens in NBG!
FIGURE 8. Pauridia pygmaea. A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 8. Pauridia pygmaea. A, whole plant; B, scape apex, bracts and pedicels; C, stamen in dorsal view; D, style and stigma branches; E, capsule with seeds; F, seed. Scale bar A = 10 mm; B = 4 mm; C–E = 2 mm; F = 0.5 mm. Drawn by Tracey Nowell from Parker 452 (NBG!).
FIGURE 17. Distribution maps for A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 17. Distribution maps for A, Pauridia minuta from Western and Eastern Cape; B, P. longituba from Western Cape, South Africa.
FIGURE 6 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 6. Pauridia etesionamibensis. Oliver, Tõlken & Venter 295 (NBG!) collected in Richtersveld, Northern Cape, South Africa.
FIGURE 5 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 5. Seed diversity in Pauridia. A, B, P. aquatica (Snijman 1513); C, D, P. gracilipes subsp. gracilipes (Snijman 2042); E, F, P. pygmaea (Parker s.n.). Scale bars A, C, E = 30 µm; B, D, F = 10 µm. SEM by Miranda Waldron.
FIGURE 14. Pauridia trifurcillata. A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 14. Pauridia trifurcillata. A, whole plant; B, leaf in transverse section; C, two outer stamens in dorsal and ventral views on left and right respectively; D, two inner stamens in dorsal and ventral views on left and right respectively; E, style and stigma branches; F, ovary in transverse section; G, capsule; H, seed. Scale bar A = 10 mm; B = 1 mm; C, D, F = 2 mm; E, G = 1.75 mm; H = 0.3 mm. Drawn by Nicci Page-Cairns from McMaster s.n. (NBG!).
FIGURE 16. Pauridia minuta. A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 16. Pauridia minuta. A, whole plant; B, stamen in dorsal view; C, style and stigma branches; D, grooved style column in transverse section; E, seed. Scale bar A = 10 mm; B = 4.5 mm; C, D = 3.5 mm. Scale bar E = 0.5 mm. Drawn by Tracey Nowell from Snijman 2365 (NBG!).
FIGURE 19. Distribution maps for A in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 19. Distribution maps for A, Pauridia scullyi from Northern Cape; B, P. maximiliani from Western Cape, South Africa.
FIGURE 11. Pauridia maryae. Holotype, Thompson 1974 in A taxonomic revision of the genus Pauridia (Hypoxidaceae) in southern Africa
FIGURE 11. Pauridia maryae. Holotype, Thompson 1974 (NBG!), collected on Kouga Mountains, Eastern Cape, South Africa.
FIGURE 2 in Reinstatement of Kalanchoe stearnii (Crassulaceae subfam. Kalanchooideae; K. subg. Kalanchoe), a small-growing, rotundifolioid species, likely from southern Africa
FIGURE 2. Plant (A), single stem (B), and inflorescence (C) of Kalanchoe stearnii. D. Comparison between flowers of K. rotundifolia (left) and of K. stearnii (right). Scale bar in mm. All photographs: Gideon F. Smith.
FIGURE 1 in Reinstatement of Kalanchoe stearnii (Crassulaceae subfam. Kalanchooideae; K. subg. Kalanchoe), a small-growing, rotundifolioid species, likely from southern Africa
FIGURE 1. Plant (A) and inflorescence (B) of Kalanchoe rotundifolia. All photographs: Gideon F. Smith.
Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes.
<p>The datasets were sourced from Southern Africa countries namely Malawi, Mozambique, South Africa, and Zimbabwe where recorded historical rainfall data was available. In each country different meteorological stations were selected and were then categorized into coastal, sub-humid and semi-arid zones based on agro-ecological regions. The following information was collected for each meteorological service station; country, meteorological service station name, agroecological region, year , recorded rainfall, and stations geographical coordinates. </p>
Aardvark microsatellite data for southern and east Africa
<p><strong>Aim:</strong> As climate change accelerates, assessing how climate shapes gene flow and neutral and adaptive genetic differentiation on landscapes is increasingly important. Aardvarks (<em>Orycteropus</em> <em>afer</em>) are ecologically important in sub-Saharan Africa but are sensitive to human pressures and increasing aridity. We used individual, population, and landscape genetic approaches to infer the influence of landscape, climate, and potential adaptive differences on gene flow.</p> <p><strong>Location</strong>: We surveyed 8 protected and 4 privately owned areas in South Africa, 2 protected areas in Eswatini, and one location in Kenya during 2016–2018.</p> <p><strong>Methods</strong>: We developed microsatellite markers and methods for DNA extraction from feces, collected and genotyped fecal samples from focal areas, and estimated genetic structure. We inferred space use from individual redetections, tested for close relatives, and estimated genetic neighborhood distance. We applied individual-based landscape genetic analyses at multiple scales across South Africa to test hypotheses about genetic differentiation by landscape resistance and potential adaptive differences.</p> <p><strong>Results</strong>: We developed 19 variable microsatellite loci and collected 253 fecal samples from 13 focal areas. We genotyped 104 samples successfully at ≥8 loci as needed for individual identification. Genetic structure suggested 3 regional divisions in South Africa. We detected individuals at locations ≤7.3 km distant and closely related individuals at ≤44 km; genetic neighborhood distance was <55 km. Lower precipitation increased landscape resistance and strongly predicted genetic differentiation at most spatial scales. Temperature differences at sampling sites also influenced structure, suggesting climate-associated adaptive differences.</p> <p><strong>Main Conclusions</strong>: Genetic structure of aardvarks in South Africa and Eswatini is strongly shaped by climate, with arid areas limiting gene flow, and reflects apparent isolation by adaptation associated with temperature. Dispersal distances likely are <45 km. The markers we developed will facilitate studies of space use, dispersal, population density, or survival. Aridification will increase fragmentation and we recommend monitoring aardvark presence as an indicator of ecosystem change associated with aridification.</p>
FIGURE 1 in Clarifying the taxonomic status and distributions of the spider species collected during the Leonhard Schultze expeditions in western and central southern Africa (Arachnida: Araneae)
FIGURE 1. Map of southern Africa, indicating localities sampled during the Schultze expedition in Botswana (BOT), Namibia (NAM) and the Republic of South Africa (RSA). Locality numbers in the key correspond to co-ordinates in Table 1 and dubious localities are indicated by a?. Localities are listed in alphabetical order by country. One locality, Kugukup in Botswana, could not be traced.
Antiretroviral Treatment Outcomes in HIV-HBV Co-infected Patients in Southern Africa
ClinicalTrials.gov study NCT02060162. IPD Sharing: Not stated. Countries: 1. Publications: 22.
Peer Education for Gender Inclusion and Substance Use in Southern Africa
ClinicalTrials.gov study NCT06489899. IPD Sharing: YES. Countries: 3. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.