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Figure 2 in Revision of the genus Delopleurus Boheman (Coleoptera: Scarabaeidae: Scarabaeinae) with description of new species from Africa
Figure 2. Delopleurus spp. (A, D) habitus; (B, E) pygidium; (F) aedeagus in lateral view and internal sac; (C, G) locality maps. (A–C) D. naviauxi sp. nov.; (D–G) D. pubescens sp. nov.
Fig. 7 in Deep-water Photinae (Gastropoda: Nassariidae) from eastern Africa, with descriptions of five new species
Fig. 7. Phos sp. A–B. Specimen from Southern Mozambique, Zavora Point, 24°36.7′ S, 35°22.0′ E, ex-pisces, depth 85–120 m, 26.6 mm long (JR). C–D. Specimen from South Africa, north Transkei, Msikaba, dredged at 90–120 m, 24.5 mm long (KF 4691). Scale bars: 5.0 mm.
Analyzing and predicting urban land use forms in East Africa using OpenStreetMap data, satellite imagery, and Convolutional Networks
<p>This multi-spectral satellite image data set is associated with our recent work on analyzing and predicting urban land use forms in East Africa using OpenStreetMap data, satellite imagery, and Convolutional Neural Networks.</p> <p>The images were extracted using an automated Python script from Google Maps Static API, based on sample locations in four East African capital cities namely Kampala, Nairobi, Dar es Salaam, and Kigali.</p> <p>Other data sets associated with this work, that is, ESRI shapefiles for administrative level 1 and OpenStreetMap data for the named cities may be downloaded directly from the respective URLs provided in the manuscript.</p>
A Slice of the Research Cake: The Impact of Open Science in Africa
<p><strong>Episode Summary: </strong></p> <p>In this episode we talk to Joy Owango, Founding Director at Training Centre in Communication. We discussed how Open Science is democratising research and access to data and publishing in Africa, the importance of ownership in research, and the challenges inherent in widespread change. </p> <p>Originally we interviewed another two guests who are involved in the Open Science movement on the African continent: Osman Aldirdiri, founding director of Open Sudan initiative and Jo Havemann, co-founder of the AfricArXiv. Due to technical difficulties we can only publish the audio from Joy Owango. However, we do have a <a href="https://drive.google.com/file/d/1sOhAaiWjAUwQlDMuaqd5YCC3SOhXDFSP/view?usp=sharing">transcript of the full interview</a> with all three guests.</p> <p><strong>Episode Links:</strong></p> <ul> <li><a href="https://info.africarxiv.org/">AfricArXiv</a> <p><a href="https://twitter.com/AfricArxiv">Twitter</a></p> </li> <li>Joy Owango <ul> <li><a href="https://www.tcc-africa.org/">Training Centre in Communication</a></li> <li><a href="https://twitter.com/JoyOwango">Twitter</a></li> </ul> </li> <li>Osman Aldirdiri <ul> <li><a href="https://blog.okfn.org/2017/03/30/open-data-day-sudan-2017-openness-for-advancing-research-and-discovery/">Open Sudan's Open Data Day</a></li> <li><a href="https://twitter.com/aldirdiri">Twitter</a></li> </ul> </li> <li>Jo Havemann <ul> <li><a href="https://access2perspectives.com/team/jo-havemann/">Access2Perspectives </a></li> </ul> </li> </ul>
FIG. 2 in Feasting among Venda-speakers of South Africa: the Late Iron Age fauna from Mutokolwe
FIG. 2. — Location of Mutokolwe and other sites mentioned in the text within South Africa (adapted from Fish [2000:71], and used with permission from the University of the Witwatersrand).
FIG. 1 in Feasting among Venda-speakers of South Africa: the Late Iron Age fauna from Mutokolwe
FIG. 1. — Location of the study areas in north-eastern South Africa: DZ, Dzata; HU, Ha-Tshirundu; MU, Mutokolwe; TA, Tavhatshena; TH, Tshirululuni; TS, Tshitheme.
Conversion of measurements of tree ring gains: Canada, Africa, Mexico, South America from RWL- files to JSON format.
<p>The International Tree Rings Data Bank (ITRDB) is the most comprehensive tree growth database (https://www1.ncdc.noaa.gov/pub/data/paleo/treering).</p> <p>Shoudong Zhao, et al. (2019, 2018) analyzes the representativity of dendrochronological data (ITRDB) and proposes a corrected database with error indications. One of the bottlenecks of data use (ITRDB) is that the data is loaded as a collection of separate files in the Tucson positional format.</p> <p>The purpose of our data presentation is to change the Tucson data format to JSON format and combine the separate files into one.</p> <p>We convert the initial data for the <strong>Canada</strong>, <strong>Africa</strong>, <strong>Mexico</strong> and <strong>Southamerica</strong> rwl-files into Json format of data on tree growth in four files: <strong>canada.json</strong>, <strong>africa.json</strong>, <strong>mexico.json</strong> and <strong>southamerica.json</strong>. The data was converted using the R programming language and the dplR program library Bunn, A. (2008)</p> <p>The experience of developing the structure of dendroclimatic data in JSON format is described in the works of Kachaev A. (2016, 2017, 2020).</p> <p>Description of the structure of JSON data format is attached in the files ReadMe.pdf</p> <p> </p> <p>References</p> <p>Bunn, A. G. (2008). A dendrochronology program library in R (dplR). Dendrochronologia, 26, 115-124. https://doi.org/10.1016/j.dendro.2008.01.002</p> <p>Kachaev, Alexander (2020), "Compact dataset of dendrochronological data of pri-mary metric characteristics of tree rings of Asia.", Mendeley Data, V1, doi: 10.17632 / p9zhpmzgtk.1</p> <p>Kachaev A. V. (2017) Model for describing the structure of dendroclimatic data In the collection: Regional problems of remote sensing of the Earth Materials of the IV international scientific conference. Siberian Federal University, Institute of Space and Information Technologies. p. 120-122. (Russia)</p> <p>Kachaev A. V. (2016) NOSQL Approach for Development of Dendroclimatic Data Bank. In the collection: Regional problems of remote sensing of the Earth. Materials of the III International Scientific Conference. p. 89-91. (Russia)</p> <p>Shoudong Zhao, et al. (2019). The International Tree-Ring Data Bank (ITRDB) revisited: Data availability and global ecological representativity. Journal of Biogeography, 46 (2), 355-368. doi: 10.1111 / jbi.13488</p> <p>Zhao, Shoudong et al. (2018), Data from: The International Tree-Ring Data Bank (ITRDB) revisited: data availability and global ecological representativity, Dryad, Dataset, https://doi.org/10.5061/dryad.kh0qh06</p>
Geo-referenced crop-nutrient response function dataset for Tropical Africa
The profit potential for a given investment in fertilizer use can be estimated using representative crop nutrient response functions. Where response data is scarce, determination of representative response functions can be strengthened by using results from homologous crop growing conditions. Maize (Zea mays L.) nutrient response functions were selected from the Optimization of Fertilizer Recommendations in Africa (OFRA) database of 5500 georeferenced response functions determined from field research conducted in Sub-Saharan Africa. Three methods for defining inference domains for selection of response functions were compared. Use of the OFRA Inference Tool (OFRA-IT; http://agronomy.unl.edu/OFRA) resulted in greater specificity of maize N, P, and K response functions with higher R2 values indicating superiority compared with using the Harvest Choice Agroecological Zones (HC-AEZ) and the recommendation domains of the Global Yield Gap Atlas project (GYGA-RD). The OFRA-IT queries three soil properties in addition to climate-related properties while the latter two options use climate properties only. The OFRA-IT was generally insensitive to changes in criteria ranges of 20–25% used in queries suggesting value in using wider criteria ranges compared with the default for information scarce crop nutrient response functions.
FIG. 1 in On the identity of Cyperus permacer (Cyperaceae) in West Africa
FIG. 1. — Specimen used by Clarke (1907) to describe Cyperus permacer C.B. Clarke (Paris herbarium, Aug. Chevalier n°2488, P00569196).
FIG. 3 in New molecular and morphological evidences favor a combination of Blechnum bakeri C.Chr. in Cranfillia Gasper & V.A.O.Dittrich (Blechnaceae, Polypodiopsida), thus extending the distribution of Cranfillia to Madagascar and East Africa
FIG. 3. — Spores of Cranfillia and Austroblechnum as observed with SEM: A, B, C. bakeri Vázquez Ferreira & S.Molino, comb. nov. (MA389177); C, D, C. mucronata (MA655870 & UC1615719, respectively); E, F, A. lherminieri (Bory ex Kunze) Gasper & V.A.O.Dittrich (BA57587). Thick and straight muri are visible in Cranfillia, as well as the spongy-trabecular middle layer of the perine (B and D). Smooth and micro-granulated perine ornamentation is observed in A. lherminieri. Scale bar: A, 17 µm; B, 9 µm; C, 7 µm; D, 1 µm; E, 8 µm; F, 2 µm.
FIG. 10 in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 10. — Podocnemididae from Ibeceten, south-western Niger, Senonian, Gularo-Intergular pattern, MNHN.F.IBC coll. A-F, Erymnochelyine Erymnochelys group, variability in shape of plates and scutes: alternative epiplastral and entoplastral combinations: A, epiplastron IBC560 and entoplatron IBC1898; B, epiplastron IBC560 and entoplastron IBC1903; C, entoplastron IBCx1; D, IBCx2, fragmentary epiplastron; E, epiplastron IBC1893 and entoplastron IBC1898; F, epiplastron IBC1893 and entoplastton IBC542. Podocnemididae indet., primitive intergular pattern; G, IBC1899, entoplastron. Ventral views. Scale bar: 2 cm.
FIG. 9. — Ragechelus sahelica n. gen., n in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 9. — Ragechelus sahelica n. gen., n. sp., Indamane, southwestern Niger, late Maastrichtian; detail of the skull, cavum tympani area, holotype MNHN- RA-2018.0031. Abbreviations: ant, antrum squamosum; cq, commissura quadrati; ica+Et, incisura columellae auris with Eustachian tube. Left lateral view. Scale bar: 2 cm.
FIG. 8. — Ragechelus sahelica n. gen., n in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 8. — Ragechelus sahelica n. gen., n. sp., Indamane, southwestern Niger, late Maastrichtian; detail of the skull, holotype MNHN-RA-2018.0031, showing the rounded carotid foramen for entrance in te besicranium, at the back of the deep cavum pterygoideum, below the (broken here) podocnemidid pterygoid wing; Abbreviations:boc, basioccipital; bsph, basisphenoid; car can, enlarged carotid foramen; cav pter, cavum pterygoideum; pw, break of the pterygoid wing at its posterior base; q, quadrate; q art, area articularis quadrati. Ventral view. Scale bar: 2 cm.
FIG. 7. — Ragechelus sahelica n. gen., n in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 7. — Ragechelus sahelica n. gen., n. sp., Indamane, southwestern Niger, late Maastrichtian; interpretative drawing of the skull, holotype MNHN-RA-2018.0031. Abbreviations: aaq, area articularis quadrati; boc, basioccipital; bsph, basiphenoid; car c, carotid canal; cav pter, cavum pterygoideum; co, condylus occipitalis; col-Et, columella auris with the Eustachian tube passage; cq, commissura quadrati; fpp, foramen palatinum posterius; fp, fenestra postotica; imc, intermediate maxillo-palatine crest; ju, jugal; mc, medial maxillo-palatine crest; ms, muscle insertion zone; mx, maxilla; pal, palatine; pmx, premaxilla; po, postorbital; ppo, processus paroccipitalis opisthotici; pter w, pterygoid wing; ptp, processus trochlearis pterygoideus; q, quadrate. Ventral view. Scale bar: 4 cm.
FIG. 6. — Ragechelus sahelica n. gen., n in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 6. — Ragechelus sahelica n. gen., n. sp., Indamane, southwestern Niger, late Maastrichtian. Lateral view of the skull, holotype MNHN-RA-2018.0031. Abbreviations: an sq, antrum squamosum; co, condylus occipitalis; com q, commissura quadrati; fpp; foramen palatinum posterius; fr, frontal; ica+Et, incisura columellae auris with the Eustachian tube; ju, jugal; l pfr, left prefrontal; mq, meatus quadrati; mx, maxilla; na, external nare; pal, palatine; pfr, prefrontal; pmx, premaxilla; paq, processus articularis quadrati; pmx, premaxilla; po, postorbital; ppo, processus paroccipitalis opisthotici; pro, prootic; pter, pterygoid; ptp, processus trochlearis pterygoideus; q, quadrate; r paq, right processus articularis quadrati; r pter, right pterygoid; soc, supraoccipital; sq, squamosal; V, foramen trigemini; black arrow, position of the foramen stapediotemporale; blue and green dotted lines, hypothetic positions for the skull lateral notch border; red line, border of the palatal medial crest. Scale bar: 4 cm.
FIG. 5. — Ragechelus sahelica n. gen., n in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 5. — Ragechelus sahelica n. gen., n. sp., Indamane, southwestern Niger, late Maastrichtian; photographs of the skull, holotype MNHN-RA-2018.0031: A-F, dorsal, ventral, left lateral, anterior, right lateral and posterior views. Scale bar: 4 cm.
FIG. 3 in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 3. — Geological map of Iullemmeden basin. Extract from Greigert (1961), focused on the northeastern basin part, area of Kao to Ibeceten with Mont Indamane (Mt Igdaman). Legend, from Greigert (1961): Cr 9-8, including (from top to bottom, [Mt Indamane Maastrichtian outcropping]: 1, Upper sandstones; 2, Mosasaurus shales; 3, Lower sandstones. Cr7, lower and middle Senonian, with gypsum [including Ibéceten outcropping]; Cr6, Turonian; Cr6b, Turonian (white limestones); Cr6a, lower Turonian (Nigericeras zone); CR6a-b, lower Turonian and Upper Cenomanian (Neolobites vibrayeani zone, Tegama group sandstones); e III-VI, lower Eocene; ct, terminal continental (simplified); qa2, filled fossil valleys; qd1, fixed oriented recent dunes (barchans); F, fossils at Mont Indamane and Ilatarda.
FIG. 2 in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 2. — Geographical location, northern to southern, of: Mont In Tahout area (Nigeremys locality), Indamane (Ragechelus saherica n. gen., n. sp. locality), Ibeceten (Erymnochelyine locality) and Ilatarda, fossil localities with turtles (stars), in southwestern Niger, Tahoua district between Niamey and Agades, Iullemeden basin, Upper Cretaceous. Purple line, raised edge of the Upper Cretaceous outcropping (symbols: "10" in Fig. 1, "Cr 9-8" in Fig. 3), overhanging the reg with dunes including the Ibeceten Senonian outcropping (Cr7 in Fig. 3).
FIG. 4 in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 4. — Log, simplified stratigraphic section, from Greigert (1966: pl. 37)'s Mont Indamane, presenting 16 banks, from bottom to top: alternately, 1, 3, 5, gypsiferous sandy marls and 2, 4, fine and silty sandstones; at top of 5, large dinosaur site (of Greigert et al. [1954]); 6, grey and black gypsiferous marls; 7, gypsiferous marls; 8, phosphatic breccia: fish, crocodile, batoids, sawfish (bone bed of the new turtle skull); 9, white sandstones: turtles, selachians; 10, black marls, salt; 11, 13, 15, yellow marls [with Libycoceras and Laffiteines]; 12, lumachella, with Rs (Veniella [Roudaireia] ouressensis); 14, lumachella; 16, ferrugineous sandstones (overlying crust). C LS, bank C in Lingham-Soliar (1991 [after David Ward]); D et al., Dikouma et al. (1993, 1994); F, Formation; G, Greigert (1966); MS, banks 8-10, 11/14, 19 and 25 in Moody & Sutcliffe (1991). Not to scale.
FIG. 1 in The oldest erymnochelyine turtle skull, Ragechelus sahelica n. gen., n. sp., from the Iullemmeden basin, Upper Cretaceous of Africa, and the associated fauna in its geographical and geological context
FIG. 1. — Geological map of the Iullemeden basin, extract from the Geological map of Africa, 1:10 millionth (Thiéblemont & Chêne 2016). Numbers: 1, Quaternary, 2.6-0 Ma, sedimentary; 5, Paleogene to Pleistocene, 66-0.012 Ma, sedimentary; 7, Tertiary, 66-2.6 Ma, sedimentary; 10, Upper Cretaceous, 100.5-66 Ma. Sedimentary; 12, Lower Cretaceous, 145-100.5 Ma, sedimentary; 39, Paleozoic; 45, 46, Proterozoic; 70, 86, 87, Archean. Blue square, area represented Fig. 2 (geographical map). Orange square, area represented in Fig. 3 (Greigert's geological map).
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.