Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
473
datasets available to search
ShareScore release 0.9.0
Dataset results
473 results for “sub-Saharan Africa”
Epidemiology Study of Malaria Transmission Intensity in Sub-Saharan Africa
ClinicalTrials.gov study NCT01954264. IPD Sharing: YES. Countries: 2. Publications: 1.
PROMISE EBF: Safety and Efficacy of Exclusive Breastfeeding Promotion in the Era of HIV in Sub-Saharan Africa
ClinicalTrials.gov study NCT00397150. IPD Sharing: Not stated. Countries: 4. Publications: 37.
Population Effectiveness of Dolutegravir Implementation in Sub-Saharan Africa
ClinicalTrials.gov study NCT04066036. IPD Sharing: YES. Countries: 2. Publications: 1.
The Sub-Saharan Africa Regional Partnership for Mental Health Capacity Building
ClinicalTrials.gov study NCT03711786. IPD Sharing: YES. Countries: 1. Publications: 6.
Resistance Testing to Improve Management of Virologic Failure in Sub-Saharan Africa
ClinicalTrials.gov study NCT02787499. IPD Sharing: YES. Countries: 2. Publications: 5.
Mass Campaigns With Fractional Dose Pneumococcal Vaccines in Sub-Saharan Africa (fPCV)
ClinicalTrials.gov study NCT05175014. IPD Sharing: YES. Countries: 1. Publications: 1.
HarvestStat Africa - Harmonized Subnational Crop Statistics for Sub-Saharan Africa
Open the record for dataset details and reuse information.
Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa
<p>Replication code and data for the paper "Satellite observations reveal inequalities in the progress and effectiveness of recent electrification in sub-Saharan Africa" published in One Earth (DOI: 10.1016/j.oneear.2020.03.007)</p> <p>________________________________</p> <p>This repository hosts:</p> <ul> <li> <p>A JavaScript file to process remotely-sensed data into Google Earth Engine (step 1)</p> </li> <li> <p>A R script, to be run after the successful completion of the Google Earth Engine processing (step 2)</p> </li> <li> <p>Supporting files to run the analysis (e.g. a shapefile of provinces, validation data, etc.)</p> </li> <li> <p>Create a Google account, if you do not have one, and require access to Earth Engine <a href="https://signup.earthengine.google.com/">https://signup.earthengine.google.com</a>.</p> </li> <li> <p>Make sure your Google Drive has enough cloud storage space available.</p> </li> <li> <p>Clone the repository.</p> </li> <li> <p>Run the JavaScript file in Google Earth Engine and wait that the data processing is complete <strong>(can take >24 hours)</strong></p> </li> <li> <p>Run the R script, which will reproduce the analysis and the figures contained in the paper.</p> </li> <li> <p>Open the QGIS project files to replicate maps with the appropriate layout.</p> </li> </ul> <p>Source code-related issues should be opened directly on GitHub. Broader questions of the methods should be addressed to <a href="mailto:giacomo.falchetta@feem.it">giacomo.falchetta@feem.it</a></p>
FIGURES 4–11 in Adamastoraltica humicola, new genus and new species: the first example of possible moss-inhabiting flea beetle genus from sub-Saharan Africa (Coleoptera Chrysomelidae, Galerucinae)
FIGURES 4–11. Adamastoraltica humicola sp. nov. from Wynberg Cave Ravine: 4, pronotum and basal part of elytra in dorsal view; 5, head and pronotum in dorsolateral view; 6, head in dorsal view; 7, mouthparts; 8, male, front tibia and tarsus (a), hind tibia (b), hind tarsus (c); 9, metafemoral extensor tendon, from top to bottom in inner and outer view; 10, aedeagus from left to right in ventral, dorsal, and lateral view; 11, spermatheca (a), tignum (b), vaginal palpi (c). 1st = first tarsomere, 3rd = third tarsomere, aa = anterior angle, as = apical spur; bav = basal angle of the ventral lobe; be = tendon basal edge; cf = tendon central furrow; dba = dorsal-basal angle; dev = dorsal edge of ventral lobe; dl = dorsal lobe; ea = extended arm; lb = labrum; lp = labial palpus; mp = maxillary palpus; pa = posterior angle, rf = recurved flange; sg = supraorbital groove, tc = tarsal claws, vl = ventral lobe.
Data from: Clinical management and mortality among COVID-19 cases in sub-Saharan Africa: a retrospective study from Burkina Faso and simulated case analysis.
<p>Absolute numbers of COVID-19 cases and deaths reported to date in the sub-Saharan Africa (SSA) region have been relatively low. As a result, there has been limited investigation into deceased cases in the region, as well as the impacts of different case management strategies. We detail demographic, epidemiological, and clinical information derived from publicly available information on deceased cases in SSA and, for cases in Burkina Faso, from aggregate records at the Center Hospitalier Universitaire de Tengandogo. Logistic regression was conducted on a synthetic case population to evaluate the adjusted odds of survival for patients receiving oxygen therapy or convalescent plasma, based on therapeutic effectiveness observed for other respiratory illnesses. Across SSA, deceased cases have been predominantly male and over 50 years of age. After adjustment for sex, age, and underlying conditions, the odds of mortality among cases in the synthetic population not receiving oxygen therapy was significantly higher than those receiving oxygen (OR: 2.07; 95%CI: 1.56-2.75). Cases receiving convalescent plasma had 50% reduced odds of mortality (95%CI: 0.24-0.93).<b> </b>Investment in sustainable oxygen therapy could reduce COVID-19 deaths in SSA. Ongoing investigation into convalescent plasma is warranted, as data on its effectiveness specifically in treating COVID-19 becomes available.</p>
Data from: Discovery of an unknown diversity of Leucinodes species damaging Solanaceae fruits in sub-Saharan Africa and moving in trade (Insecta, Lepidoptera, Pyraloidea)
The larvae of the Old World genera Leucinodes Guenée, 1854 and Sceliodes Guenée, 1854 are internal feeders in the fruits of Solanaceae, causing economic damage to cultivated plants like Solanum melongena and S. aethiopicum. In sub-Saharan Africa five nominal species of Leucinodes and one of Sceliodes occur. One of these species, the eggplant fruit and shoot borer L. orbonalis Guenée, 1854, is regarded as regularly intercepted from Africa and Asia in Europe, North and South America and is therefore a quarantine pest on these continents. We investigate the taxonomy of African Leucinodes and Sceliodes based on morphological characters in wing pattern, genitalia and larvae, as well as mitochondrial DNA, providing these data for identification of all life stages. The results suggest that both genera are congeneric, with Sceliodes syn. n. established as junior subjective synonym of Leucinodes. L. orbonalis is described from Asia and none of the samples investigated from Africa belong to this species. Instead, sub-Saharan Africa harbours a complex of eight endemic Leucinodes species. Among the former nominal species of Leucinodes (and Sceliodes) from Africa, only L. laisalis (Walker, 1859), comb. n. (Sceliodes) is confirmed, with Leucinodes translucidalis Gaede, 1917, syn. n. as a junior subjective synonym. The other African Leucinodes species were unknown to science and are described as new: L. africensis sp. n., L. ethiopica sp. n., L. kenyensis sp. n., L. malawiensis sp. n., L. pseudorbonalis sp. n., L. rimavallis sp. n. and L. ugandensis sp. n. An identification key based on male genitalia is provided for the African Leucinodes species. Most imports of Leucinodes specimens from Africa into Europe refer to Leucinodes africensis, which has been frequently imported with fruits during the last 50 years. In contrast, L. laisalis has been much less frequently recorded, and L. pseudorbonalis as well as L. rimavallis only very recently in fruit imports from Uganda. Accordingly, interceptions of Leucinodes from Africa into other continents will need to be re-investigated for their species identity and will likely require, at least in parts, revisions of the quarantine regulations. The following African taxa are excluded from Leucinodes: Hyperanalyta Strand, 1918, syn. rev. as revised synonym of Analyta Lederer, 1863; Analyta apicalis (Hampson, 1896), comb. n. (Leucinodes); Lygropia aureomarginalis (Gaede, 1916), comb. n. (Leucinodes); Syllepte hemichionalis Mabille, 1900, comb. rev., S. hemichionalis idalis Viette, 1958, comb. rev. and S. vagans (Tutt, 1890), comb. n. (Aphytoceros). Deanolis iriocapna (Meyrick, 1938), comb. n. from Indonesia is originally described and misplaced in Sceliodes, and L. cordalis (Doubleday, 1843), comb. n. (Margaritia) from New Zealand, L. raondry (Viette, 1981), comb. n. (Daraba) from Madagascar as well as L. grisealis (Kenrick, 1912), comb. n. (Sceliodes) from New Guinea are transferred from Sceliodes to Leucinodes. While Leucinodes is now revised from Africa, it still needs further revision in Asia.
Data from: Wind conditions and geography shape the first outbound migration of juvenile honey buzzards and their distribution across sub-Saharan Africa
Contemporary tracking studies reveal that low migratory connectivity between breeding and non-breeding ranges is common in migrant landbirds. It is unclear, however, how internal factors and early-life experiences of individual migrants shape the development of their migration routes and concomitant population-level non-breeding distributions. Stochastic wind conditions and geography may determine whether and where migrants end up by the end of their journey. We tested this hypothesis by satellite-tagging 31 fledgling honey buzzards Pernis apivorus from southern Finland and used a global atmospheric reanalysis model to estimate the wind conditions they encountered on their first outbound migration. Migration routes diverged rapidly upon departure and the birds eventually spread out across 3340 km of longitude. Using linear regression models, we show that the birds' longitudinal speeds were strongly affected by zonal wind speed, and negatively affected by latitudinal wind, with significant but minor differences between individuals. Eventually, 49% of variability in the birds' total longitudinal displacements was accounted for by wind conditions on migration. Some birds circumvented the Baltic Sea via Scandinavia or engaged in unusual downwind movements over the Mediterranean, which also affected the longitude at which these individuals arrived in sub-Saharan Africa. To understand why adult migrants use the migration routes and non-breeding sites they use, we must take into account the way in which wind conditions moulded their very first journeys. Our results present some of the first evidence into the mechanisms through which low migratory connectivity emerges.
Data from: Phylogenetic and morphological investigation of the Mochlus afer-sundevallii Species Complex (Squamata: Scincidae) across the arid corridor of sub-Saharan Africa
The aridification of Africa resulted in the fragmentation of forests and the expansion of an arid corridor stretching from the northeast to southwest portion of sub-Saharan Africa, but the role this corridor has had in species-level diversification of southern African vertebrates is poorly understood. The, skink species Mochlus afer and M. sundevallii inhabit wide areas of the arid corridor and are therefore an ideal species pair for studying patterns of genetic and phenotypic diversity associated with this landscape. However, species boundaries between these taxa have been controversial. Using multi-locus molecular and morphological datasets, we investigate diversification patterns of the M. afer-sundevallii Species Complex across the arid corridor. Although analysis of genetic data reveals some genetic structure among geographic populations, results of phylogenetic and morphological analyses provide little support for two distinct evolutionary lineages, suggesting that populations previously referred to as M. afer and M. sundevallii represent a single species, Mochlus sundevallii. Genetic diversity is unequally distributed across the arid corridor, with observed patterns consistent with aridification-facilitated diversification southward across southern Africa. Additional geographic and population-level sampling is necessary before more conclusive inferences can be drawn about the role historical climate transitions has played in skink diversification patterns across southern Africa.
Data from: Spatially varying selection shapes life history clines among populations of Drosophila melanogaster from sub-Saharan Africa
Clines in life history traits, presumably driven by spatially varying selection, are widespread. Major latitudinal clines have been observed, for example, in Drosophila melanogaster, an ancestrally tropical insect from Africa that has colonized temperate habitats on multiple continents. Yet, how geographic factors other than latitude, such as altitude or longitude, affect life history in this species remains poorly understood. Moreover, most previous work has been performed on derived European, American and Australian populations, but whether life history also varies predictably with geography in the ancestral Afro-tropical range has not been investigated systematically. Here, we have examined life history variation among populations of D. melanogaster from sub-Saharan Africa. Viability and reproductive diapause did not vary with geography, but body size increased with altitude, latitude and longitude. Early fecundity covaried positively with altitude and latitude, whereas lifespan showed the opposite trend. Examination of genetic variance–covariance matrices revealed geographic differentiation also in trade-off structure, and QST-FST analysis showed that life history differentiation among populations is likely shaped by selection. Together, our results suggest that geographic and/or climatic factors drive adaptive phenotypic differentiation among ancestral African populations and confirm the widely held notion that latitude and altitude represent parallel gradients.
Data from: Diagnosis of crop secondary and micro-nutrient deficiencies in sub-Saharan Africa
Crop production in sub-Saharan Africa has numerous biotic and abiotic constraints, including nutrient deficiencies. Information on crop response to macronutrients is relatively abundant compared with secondary and micronutrients (SMN). Data from 1339 trial replicates of 280 field trials conducted from 2013 to 2016 in 11 countries were analyzed for the diagnosis of SMN deficiencies. The diagnostic data included relative yield response (RYR) and soil and foliar test results. The RYR to application of a combination of Mg, S, Zn, and B (Mg-S-Zn-B) relative to a comparable N-P-K treatment was a >5% increase for 35% of the legume blocks and 60% of the non-legume blocks. The frequencies of soil test Zn, Cu, and B being below their critical level were 28, 2 and 10% for eastern and southern Africa, respectively, and 55, 58 and 89% for western Africa, while low levels for other SMN were less frequent. The frequency of foliar results indicating low availability were 58% for Zn, 16% for S and less for other SMN. The r2 values for relationships between soil test, foliar test and RYR results were <0.035 with little complementarity except for soil test Zn and B with cassava (Manihot esculenta L. Crantz) RYR in Ghana, and foliar Zn with cereal RYR in Uganda. Positive RYR is powerful diagnostic information and indicative of good profit potential for well-targeted and well-specified SMN application. Geo-referenced RYR, soil analysis and foliar analysis results for diagnosis of SMN deficiencies in 11 countries of sub-Saharan Africa were generally not complementary.
FIGURE 1 in Phytoseiid mites of the tribes Afroseiulini, Kampimodromini and Phytoseiulini, and complementary notes on mites of the tribes Euseiini and Neoseiulini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 1. Kampimodromus molle (Ueckermann & Loots): A. Female dorsal shield; B. Female ventral surface; C. Spermatheca; D. Female chelicera; E. Female leg IV; F. Spermatodactyl.
FIGURE 2 in Phytoseiid mites of the tribes Afroseiulini, Kampimodromini and Phytoseiulini, and complementary notes on mites of the tribes Euseiini and Neoseiulini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 2. Paraphytoseius ghanaensis Moraes, Zannou & Oliveira, n. sp.: A. Female dorsal shield; B. Female ventral surface; C. Spermatheca; D. Female chelicera; E. Female leg IV; F. Male dorsal shield; G. Male ventrianal shield; H. Spermatodactyl.
FIGURE 5 in Phytoseiid mites of the tribes Afroseiulini, Kampimodromini and Phytoseiulini, and complementary notes on mites of the tribes Euseiini and Neoseiulini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 5. Iphiseius degenerans (Berlese): A. Female dorsal shield; B. Female ventral surface; C. Spermatheca; D. Female leg IV; E. Short type spermatodactyl of a male (from Kericho, Kenya) with 3 pairs of preanal setae; F. Ventrianal shield a male (from Kericho, Kenya) with short type spermatodactyl; G. Short type spermatodactyl of a male (from Kericho, Kenya) with 4 pairs of preanal setae; H. Ventrianal shield of a male (from Kericho, Kenya) with short type spermathodactyl; I. Long type spermatodactyl of a male (from ca. 10 km E Kisii, Kenya) with 4 pairs of preanal setae; J. Ventrianal shield of a male (from ca. 10 km E Kisii, Kenya) with long type spermatodactyl.
FIGURE 4 in Phytoseiid mites of the tribes Afroseiulini, Kampimodromini and Phytoseiulini, and complementary notes on mites of the tribes Euseiini and Neoseiulini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 4. Paraphytoseius orientalis (Narayanan, Kaur & Ghai) (female): A. Dorsal shield; B. Ventral surface; C. Spermatheca; D. Chelicera; E. Leg IV.
FIGURE 3 in Phytoseiid mites of the tribes Afroseiulini, Kampimodromini and Phytoseiulini, and complementary notes on mites of the tribes Euseiini and Neoseiulini (Acari: Phytoseiidae) from sub-Saharan Africa
FIGURE 3. Paraphytoseius horrifer (Pritchard & Baker) (female): A. Dorsal shield; B. Ventral surface; C. Spermatheca; D. Chelicera; E. Leg IV.
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.