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11,982 results for “africa”
Fig. 1 in The First Record of Intestinal Ciliates from the Mountain Zebra (Equus zebra) in South Africa
Fig. 1. (A–O) Endosymbiotic ciliates from mountain zebra of South Africa: A – Alloiozona trizona, B – Holophryoides macrotricha, C – Blepharosphaera ceratotherii, D – Holophryoides ovalis, E – Blepharocorys angusta m. triangulata, F – Blepharocorys angusta m. ovata, G – Blepharoprosthium pireum, H – Blepharoconus sp., I – Bundleia postciliata, J – Bundleia piriformis, K – Bundleia inflata, L – Bundleia benbrooki. M – Spirodinium nanum, N – Triplumaria sp. "A", O – Triplumaria sp. "B". Differential interference contrast, N, O – reconstruction from 3 images. Scale bars: 10 µm.
Potential Natural Vegetation of Eastern Africa (Burundi, Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia): raster and vector GIS files for each country
<p>The map of potential natural vegetation of eastern Africa (V4A) gives the distribution of potential natural vegetation in Ethiopia, Kenya, Tanzania, Uganda, Rwanda, Burundi, Malawi and Zambia.</p> <p>The map is based on national and local vegetation maps constructed from botanical field surveys - mainly carried out in the two decades after 1950 - in combination with input from national botanical experts. Potential natural vegetation (PNV) is defined as “vegetation that would persist under the current conditions without human interventions”. As such, it can be considered a baseline or null model to assess the vegetation that could be present in a landscape under the current climate and edaphic conditions and used as an input to model vegetation distribution under changing climate.</p> <p>Vegetation types are defined by their tree species composition, and the documentation of the maps thus includes the potential distribution for more than a thousand tree and shrub species, see the documentation (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fspecies.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=aeHdnF4n19CbTTznMdObr91vfZys%2FY1PrK1OxI%2BHif0%3D&reserved=0">https://vegetationmap4africa.org/species.html</a>)</p> <p>The map distinguishes 48 vegetation types, divided in four main vegetation groups: 16 forest types, 15 woodland and wooded grassland types, 5 bushland and thicket types and 12 other types. The map is available in various formats. The online version (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fvegetation_map.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=VKVkjZ8lTKMyoU9luZLAYFDwY5sbwDrGXceVEQAeGIQ%3D&reserved=0">https://vegetationmap4africa.org/vegetation_map.html</a>) and for PDF versions of the map, see the documentation (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fdocumentation.html&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=FIsoem3dYG4%2FIQFMPlM8B2Vf9Doqf2CS7p2fevpAwx0%3D&reserved=0">https://vegetationmap4africa.org/documentation.html</a>). Version 2.0 of the potential natural vegetation map and the woody species selection tool was published in 2015 (<a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fvegetationmap4africa.org%2Fdocs%2Fversionhistory%2F&data=05%7C02%7Cjpbl%40ign.ku.dk%7Ca3280e568f104b9a26b308dc4e62f67b%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638471434157657534%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=J1aJt1D0dUhDd2fF9uEo8k1uu%2F7josYZCnQG%2FXWj5Ks%3D&reserved=0">https://vegetationmap4africa.org/docs/versionhistory/</a>). The original data layers include country-specific vegetation types to maintain the maximum level of information available. This map might be most suitable when carrying out analysis at the national or sub-national level.</p> <p>When using V4A in your work, cite the publication: Lillesø, J-P.B., van Breugel, P., Kindt, R., Bingham, M., Demissew, S., Dudley, C., Friis, I., Gachathi, F., Kalema, J., Mbago, F., Minani, V., Moshi, H., Mulumba, J., Namaganda, M., Ndangalasi, H., Ruffo, C., Jamnadass, R. & Graudal, L. 2011, Potential Natural Vegetation of Eastern Africa (Ethiopia, Kenya, Malawi, Rwanda, Tanzania, Uganda and Zambia). Volume 1: The Atlas. 61 ed. Forest & Landscape, University of Copenhagen. 155 p. (Forest & Landscape Working Papers; 61 - as well as this repository using the DOI <<span><a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.11125645&data=05%7C02%7Cjpbl%40ign.ku.dk%7C82eb48688be64612c08108dc70c1b2e9%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638509224465318531%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=BtOVb3lPqZXp45K%2BWKUaLQEK3CTn0uMg8ysuQh5aVpo%3D&reserved=0">https://doi.org/10.5281/zenodo.11125645</a></span>>.</p> <p>The development of V4A was mainly funded by the Rockefeller Foundation and supported by University of Copenhagen</p> <p>If you want to use the potential natural vegetation map of eastern Africa for your analysis, you can download the spatial data layers in raster format as well as in vector format from this repository <<span><a href="https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.11125645&data=05%7C02%7Cjpbl%40ign.ku.dk%7C82eb48688be64612c08108dc70c1b2e9%7Ca3927f91cda14696af898c9f1ceffa91%7C0%7C0%7C638509224465318531%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=BtOVb3lPqZXp45K%2BWKUaLQEK3CTn0uMg8ysuQh5aVpo%3D&reserved=0">https://doi.org/10.5281/zenodo.11125645</a></span>></p> <p>A simplified version of the map can be found on <u>Figshare <https://doi.org/10.6084/m9.figshare.1306936.v1>. </u>That version aggregates country specific vegetation types into regional types. This might be the better option when doing regional-level assessments.</p> <p> </p>
Figures 31–35 in DNA sequencing reveals three new species of Chamberlainium (Corallinales, Rhodophyta) from South Africa, all formerly passing under Spongites yendoi
Figures 31–35: Chamberlainium occidentale habit and vegetative anatomy. (31) Rock fragment with holotype specimen showing the region (white arrow) of the holotype from which all analyses were done (L 3986120, gametangial and tetrasporangial). Scale bar = 10 mm. (32) Vertical section through the margin (black arrow) showing the monomerous thallus construction with plumose medulla (M) giving rise to cortical filaments (C) that terminate in a single layer of epithallial cells (black arrowhead) (UWC 15/59). Scale bar = 50 μm. (33) Vertical section of the inner thallus showing cell fusions (f) between adjacent medullary filaments (UWC 15/56). Scale bar = 20 μm. (34) Vertical section of the outer thallus showing a single layer of epithallial cells (e) subtended by a layer of subepithallial initials (i). Note the cell fusions (f) between adjacent cortical filaments (UWC 15/59). Scale bar = 20 μm. (35) Vertical section of the outer thallus showing a single layer of epithallial cells (e) subtended by a layer of subepithallial initials (i). Note a cluster of bottle-shaped trichocytes (t) each separated by vegetative filaments (UWC 15/59). Scale bar = 20 μm.
ERA5-Land selected indicators daily aggregates for Africa, 1991
<p>This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land for eight selected indicators, covering Africa for 1991.</p> <p>Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.</p> <p>For 2m dewpoint pressure, 10m u-component of wind, 10m v-component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean, and minimum were used for aggregation.</p> <p>Those files were created using the <a href="https://github.com/ErikKusch/KrigR">KrigR</a> package.</p>
Terrain variables used for ensemble distribution modelling of vulnerable marine ecosystems indicator taxa on data-limited seamounts of Cabo Verde (NW Africa)
<p><em>Aim:</em> Seamounts are conspicuous geological features with an important ecological role and can be considered Vulnerable Marine Ecosystems (VMEs). Since many deep-sea regions remain largely unexplored, investigating the occurrence of VME taxa on seamounts is challenging. Our study aimed to predict the distribution of four cold-water coral (CWC) taxa, indicators for VMEs, in a region where occurrence data is scarce.</p> <p><em>Location: </em>Seamounts around the Cabo Verde Archipelago (NW Africa).</p> <p><em>Methods:</em> We used species presence-absence data obtained from Remotely Operated Vehicle (ROV) footage collected during two research expeditions. Terrain variables calculated using a multiscale approach from a 100 m resolution bathymetry grid, as well as physical oceanographical data from the VIKING20X model, at a native resolution of 1/20°, were used as environmental predictors. Two modelling techniques (Generalized Additive Model (GAM) and Random Forest (RF)) were employed and single-model predictions were combined into a final weighted-average ensemble model. Model performance was validated using different metrics through cross-validation.</p> <p><em>Results</em>: Terrain orientation, at broad-scale, presented one of the highest relative variable contributions to the distribution models of all CWC taxa, suggesting that hydrodynamic-topographic interactions on the seamounts could benefit CWCs by maximizing food supply. However, changes at finer scales in terrain morphology and bottom salinity were important for driving differences in the distribution of specific CWCs. The ensemble model predicted the presence of VME taxa on all seamounts and consistently achieved the highest performance metrics, outperforming individual models. Nonetheless, model extrapolation and uncertainty, measured as the coefficient of variation, were high, particularly, in least surveyed areas across seamounts, highlighting the need to collect more data in future surveys.</p> <p><em>Main conclusions:</em> Our study shows how data-poor areas may be assessed for the likelihood of VMEs and provides important information to guide future research in Cabo Verde, which is fundamental to advise ongoing conservation planning.</p>
Enmeshed with a Sand. History of the Slave Trade in Eastern Africa on Indian Ocean
<p>The short documentary “Enmeshed with a Sand. History of the Slave Trade in Eastern Africa on the Indian Ocean”, directed by Aleksandra Lukaszewicz, with interviews recorded by Grzegorz Skorny is the artistic result of the research conducted within TPAAE and CAPHE EU-funded research project.</p> <p>Lukaszewicz and Skorny followed Kaviha Charro Chengo to the far end of Kilifi Creek to set off for the journey of uncovering the traces and narratives of the slave trade in the coastal region of Kenya.</p> <p>Creeks on the Eastern African coast provided an important venue for getting the slaves because, with a high tide, it was possible to get deep into the land. In such activities usually participated apart of few Arabs, middlemen who better understood the environment around them and protected themselves in such a way from becoming slaves themselves.</p> <p>The live memory narratives from the paths leading from Mtzanganyuiko, Kibokoni, Mnarani, Takaungu, Vuma Cliffs, Jumba la Mtwana, Fort Jesus, Shimoni to Zanzibar which we traced with Skorny and later also with Klaudyna Szymanska, should be supported by the objective scientific research.</p> <p>This was achieved by the expert presentation in the documentary of Dr. Ibrahim Busolo Namunaba and by including archival materials: photographs of museum objects, graphics, and maps of the region, which were contributed to the realization of the documentary by the National Museums of Kenyan in Nairobi and the National Museum in Szczecin. Maps were redrawn and animated by the Miastopracownia – Barbara Nawrocka and Dominika Wilczynska; the soundtrack was contributed by the Polish Society for Aesthetics and Mr. Barissa with students from Kenyatta University. The educational consultancy for the film is owned by Prof. Elzbieta Perzycka and Michal Parchimowicz from the Polish University Abroad in London.</p> <p>Recognition of difficult parts of one’s history brings reconciliation to the old pain and allows to find – according to the words of Mrs. Karembo from Kilfi County, Department of Gender, Culture and Social Services – “a hidden blessing”. Perceiving the slaves’ trade in a broader picture of general historical, social, and economic transformations gives back this story of its owners, to the community.</p>
Figs 1–4 in A New Species Of The Genus Chilocyrtus (Hymenoptera, Ichneumonidae, Orthocentrinae) From South Africa
Figs 1–4. Chilocyrtus propodealis, sp. n. ♀ (1–3 — holotype, 4 — paratype): 1 — lateral view of habitus; 2 — frontal view of head (carinated clypeal projection arrowed with white); 3 — lateral view of head and mesosoma (carinated clypeal projection arrowed with white); 4 — dorsal view of mandible. Scale bar 0.5 mm (habitus) and 0.1 mm (remaining views).
Figs 5–9 in A New Species Of The Genus Chilocyrtus (Hymenoptera, Ichneumonidae, Orthocentrinae) From South Africa
Figs 5–9. Chilocyrtus propodealis, sp. n., holotype ♀; 5 — wings; 6 — dorsal view of head and mesoscutum; 7 — dorsal view of propodeum; 8 — dorsal view of first metasomal tergite; 9 — dorsal view of metasomal tergites 2–3. Scale bar 0.1 mm.
Figures 128–129 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 128–129: Figure 128. Map showing confirmed distribution of Parabuthus spp. In Djibouti, Eritrea, Ethiopia, Somalia, and Somaliland. Figure 129. Parabuthus eritreaensis, female from Somaliland in vivo habitus.
Figures 103–110 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 103–110: Parabuthus quincyae sp. n., male holotype. Figure 103. Carapace and tergites I–IV. Figures 104–105. Sternopectinal area and sternites. Figure 106. Sternite VII and metasoma I–II ventral Figures 107–110. Right legs I–IV, retrolateral aspect.
Figures 72–93 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 72–93: Figures 72–82: Parabuthus evae sp. n., male holotype. Figures 83–93: Parabuthus cimrmani, male holotype. Figures 72–93. Right pedipalp, chela in dorsal (72, 83), external (73, 84), and ventral (74, 85) views, patella in dorsal (75, 86), external (76, 87), and ventral (77, 88) views, femur and trochanter in internal (78, 89), dorsal (79, 90), and ventral (80, 91) views. Dentate margins of movable (81, 92) and fixed (82, 93) fingers. Trichobothrial pattern indicated in Figures 73–76 and 78–79 by white circles.
Figures 62–71 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 62–71: Parabuthus evae sp. n., male holotype. Figure 62. Carapace and tergites I–V. Figure 63. Sternopectinal area and sternites. Figures 64–67. Right legs I–IV, retrolateral aspect. Figure 68. Metasoma V, and telson in lateral view. Figures 69–71. Metasoma and telson in lateral (69), ventral (70), and dorsal (71) views. Scale bars: 10 mm (69–71).
Figures 98–102 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 98–102: Parabuthus quincyae sp. n., male holotype. Figure 98. Metasoma V, and telson in lateral view. Figure 99. Metasoma I–III in dorsal view.Figures 100–102. Metasoma and telson in lateral (100), ventral (101), and dorsal (102) views. Scale bar: 10 mm (100–102).
Figures 60–61 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 60–61. Parabuthus evae sp. n., male holotype, in dorsal (60) and ventral (61) views. Scale bar: 10 mm.
Figures 49–53 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 49–53: Parabuthus dorisae sp. n., male holotype.. Figures 49–52. Right legs I–IV, retrolateral aspect. Figure 53. Type locality, Somaliland, vicinity of God Heeli.
Figures 58–59 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 58–59: Parabuthus evae sp. n., male holotype. Figure 58. Female holotype in vivo habitus. Figure 59. Locality, Somaliland, E of Las Anod.
Figures 29–35 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 29–35: Parabuthus dorisae sp. n. Figure 29. Juvenile paratype 60 mm long, metasoma IV–V and telson lateral. Figure 30. Juvenile paratype 27 mm long, metasoma and telson lateral. Figures 31–35: Male holotype. Figure 31. Metasoma V, and telson in lateral view. Figure 32. Metasoma I–III in dorsal view.Figures 33–35. Metasoma and telson in lateral (33), ventral (34), and dorsal (35) views. Scale bars: 10 mm (29–30, 33–35).
Figures 27–28 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 27–28. Parabuthus dorisae sp. n., male holotype, in dorsal (27) and ventral (28) views. Scale bar: 10 mm.
Figures 16–26 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 16–26. Parabuthus eritreaensis, female, right pedipalp, chela in dorsal (16), external (17), and ventral (18) views, patella in dorsal (19), external (20), and ventral (21) views, femur and trochanter in internal (22), dorsal (23), and ventral (24) views. Dentate margins of movable (25) and fixed (26) fingers. Trichobothrial pattern indicated in Figures 17– 20 and 22–23 by white circles.
Figures 5–8 in Scorpions of the Horn of Africa (Arachnida: Scorpiones). Part XXX. Parabuthus (Buthidae) (Part III), with description of three new species from Somaliland and occurrence of Parabuthus eritreaensis Kovařík, 2003
Figures 5–8: Parabuthus eritreaensis, female. Figure 5. End of metasoma IV, metasoma V, and telson in lateral view. Figures 6–8. Metasoma and telson in lateral (6), dorsal (7), and ventral (8) views. Scale bar: 10 mm (6-8).
ScienceDex guides
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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.