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.
514
datasets available to search
ShareScore release 0.9.0
Dataset results
514 results for “Zambia”
Figures 9–12 in Mutinondia, a new genus for a new species from Zambia (Lepidoptera: Erebidae: Arctiinae: Lithosiini)
Figures 9–12. Lithosiina spp., type species of the corresponding genera: male genitalia. Depositories of the specimens dissected: 9 and 10 in ANHRT; 11 and 12 in MWM/ZSM.
Fig. 3 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 3. The sequences of SRA-PCR–positive samples from buffalo, sable antelope, and vervet monkey are determined and the deduced amino acid were aligned with deposited representative sequences from Zambia, Kenya, and Uganda.
Fig. 2. ITS1 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 2. ITS1-PCR Gel analysis Gel image of the ITS-PCR-positive samples. The species were estimated by the band size. The expected sizes for each species are T. godfreyi: 220 bp, T. simiae: 331–343 bp, T. theileri: 269–350 bp, T. brucei: 415–431 bp, T. congolense: 560–705 bp (Gaithuma et al., 2019).
Fig. 1 in Diversity of trypanosomes in wildlife of the Kafue ecosystem, Zambia
Fig. 1. The Kafue ecosystem comprising of the KNP and surrounding GMAs. The black spots indicate sampling points and the red spots indicate areas where rHAT was detected. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 8 in A herpetological survey of western Zambia
Fig. 8. Drawings of Rhamnophis aethiopissa ituriensis (BMNH 2018.2772). Head and anterior of body in dorsal, left lateral, and ventral views. Scale bar 10 mm. Drawings by Ed Wade.
Fig. 4 in A herpetological survey of western Zambia
Fig. 4. Details of head profile and webbing of Hyperolius nasicus (BMNH 2018.5666). (A) Profile of head, (B) webbing of right foot, and (C) schematic representation of webbing. Scale bar represents 1 mm.
Fig. 1 in A herpetological survey of western Zambia
Fig. 1. Map of Zambia showing sites surveyed for herpetofauna. The star indicates the capital (Lusaka).
Fig. 3 in A herpetological survey of western Zambia
Fig. 3. Amphibians of western Zambia. (A) Arthroleptis stenodactylus (BMNH 2018.5827), (B) Arthroleptis xenochirus (BMNH 2018.5811), (C) Schismaderma carens (BMNH 2018.5728), (D) Sclerophrys gutturalis (BMNH 2018.5701), (E) Sclerophrys lemairii, (F) Sclerophrys pusilla (BMNH 2018.5708), (G) Hemisus cf. guineensis (BMNH 2018.5800), (H) Hemisus cf. guineensis (BMNH 2018.5799), (I) Hemisus marmoratus (BMNH 2018.5713), (J) Hemisus marmoratus (BMNH 2018.5714), (K) Hyperolius dartevellei (BMNH 2018.5681), (L) Hyperolius major (BMNH 2018.5675), (M) Hyperolius marginatus (BMNH 2018.5667), (N) Hyperolius nasicus (BMNH 2018.5666), (O) Hyperolius parallelus (BMNH 2018.5689), (P) Hyperolius parallelus (BMNH 2018.5697), (Q) Hyperolius quinquevittatus, (R) Kassina senegalensis.
Fig. 6 in A herpetological survey of western Zambia
Fig. 6. Amphibians of western Zambia. (A) Phrynobatrachus cf. parvulus (BMNH 2018.5889), (B) Phrynobatrachus natalensis (BMNH 2018.5838), (C) Phrynobatrachus natalensis (BMNH 2018.5842), (D) Phrynobatrachus sp. 1 (BMNH 2018.5867), (E) Phrynobatrachus sp. 1 (BMNH 2018.5861), (F) Phrynobatrachus sp. 1 (BMNH 2018.5869), (G) Xenopus poweri (BMNH 2018.5659), (H) Xenopus pygmaeus, (I) Ptychadena anchietae (BMNH 2018.5730), (J) Ptychadena cf. mossambica (BMNH 2018.5759), (K) Ptychadena porosissima (BMNH 2018.5766), (L) Ptychadena porosissima (BMNH 2018.5769), (M) Ptychadena porosissima (BMNH 2018.5770), (N) Ptychadena taenioscelis (BMNH 2018.5785), (O) Amietia chapini (BMNH 2018.5664), (P) Pyxicephalus cf. adspersus (BMNH 2018.5791), (Q) Tomopterna sp. (BMNH 2018.5797), (R) Chiromantis xerampelina (BMNH 2018.5798).
Fig. 7 in A herpetological survey of western Zambia
Fig. 7. Reptiles of western Zambia. (A) Agama armata (BMNH 2018.2751), (B) Chamaeleo dilepis (BMNH 2018.2755), (C)–(D) Lygodactylus chobiensis (BMNH 2018.2743), (E) Pachydactylus punctatus, (F) Ichnotropis capensis (BMNH 2018.2750), (G) Meroles squamulosus (BMNH 2018.2753), (H) Trachylepis cf. albopunctata (BMNH 2018.2765), (I) Trachylepis varia (BMNH 2018.2769), (J) Typhlacontias rohani (BMNH 2018.2761), (K) Crotaphopeltis hotamboeia (BMNH 2018.2776), (L) Philothamnus hoplogaster (BMNH 2018.2775), (M) Rhamnophis aethiopissa ituriensis (BMNH 2018.2772), (N) Thelotornis kirtlandii (BMNH 2018.2760), (O) Atractaspis congica (BMNH 2018.2274), (P)–(R) Kinixys spekii.
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S in A herpetological survey of western Zambia
Fig. 5. Maximum likelihood phylogenetic tree inferred from nucleotide sequence data from mitochondrial 16S rRNA of Phrynobatrachus natalensis. Numbers above branches are non-parametric bootstrap support values. Specimen vouchers or GenBank accession numbers are shown in parentheses. Colored polygons highlight the clades comprising specimens from this study. (*) Nearest sample from type locality of Phrynobatrachus natalensis; (**) Haplotype groups A and B in Zimkus and Schick (2010).
Fig. 2 in A herpetological survey of western Zambia
Fig. 2. Habitats surveyed in western Zambia. (A) Dambo and Cryptosepalum dry forest in Lukwakwa, (B) Dambo in Nanzila Plains, (C) Miombo woodland in Nanzila Plains, (D) Margin of the Zambezi River at Ngonye Falls.
Figures 1-2. 1 in Recent records of Tongorma Kirkaldy (Heteroptera: Coreidae: Coreinae: Phyllomorphini) from Botswana and Zambia
Figures 1-2. 1. Specimen of Tongorma latreillii (Guérin-Méneville, 1839), near Serowe, Central District, Botswana, 12-XII-2012. (Photograph: Tony Benn). Scale: 2 mm. 2. Specimen belonging to Tongorma Kirkaldy, 1900, South Luangwa National Park, Muchinga Province, Zambia, 26-VI-2018. (Photograph: Stephen Wain).
Linked collectors and determiners for: Haptomerus maculosus, a new species of the tribe Myorhinini from Zambia (Coleoptera: Curculionidae: Entiminae).
Natural history specimen data linked to collectors and determiners held within, "Haptomerus maculosus, a new species of the tribe Myorhinini from Zambia (Coleoptera: Curculionidae: Entiminae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/11aedfc6-6618-4f16-99d4-2aff0c9c15fa">https://bionomia.net/dataset/11aedfc6-6618-4f16-99d4-2aff0c9c15fa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/11aedfc6-6618-4f16-99d4-2aff0c9c15fa">https://gbif.org/dataset/11aedfc6-6618-4f16-99d4-2aff0c9c15fa</a>. Formatted as a Frictionless Data package.
CCG Starter Data Kit: Zambia
<p>A starter data kit for Zambia</p>
Heel and cord blood datasets for Bangladesh and Zambia cohorts
<div> <div> <div> <div> <p><strong>Background</strong>: Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low-income countries. Our objective was to develop machine learning models to accurately estimate GA shortly after birth using clinical and metabolomic data.</p> <p><strong>Methods</strong>: We derived three GA estimation models using ELASTIC NET multivariable linear regression using metabolomic markers from heel-prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted internal model validation in an independent cohort of Ontario newborns, and external validation in heel prick and cord blood sample data collected from newborns from prospective birth cohorts in Lusaka, Zambia, and Matlab, Bangladesh. Model performance was measured by comparing model-derived estimates of GA to reference estimates from early pregnancy ultrasound.</p> <p><strong>Results</strong>: Samples were collected from 311 newborns from Zambia and 1176 from Bangladesh. The best-performing model accurately estimated GA within about 6 days of ultrasound estimates in both cohorts when applied to heel prick data (MAE 0.79 weeks (95% CI 0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh).</p> <p><strong>Conclusions</strong>: Algorithms developed in Canada provided accurate estimates of GA when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data.</p> </div> </div> </div> </div>
MOSAIKS Feature Sets for Zambia
<p>These two features sets cover the Survey Enumeration Areas and the entire country of Zambia. They were created using Sentinel 2 imagrey and their temporal bounds are from 2015 -2023. They can be used for modeling of spacial data.</p>
Fig. 14 in New and less known Orthoptera from biodiversity hotspots of Mozambique and Zambia (Tettigoniidae; Acrididae)
Fig. 14 – Pachycatantops sp.: habitus in lateral view and abdominal apex in lateral and dorsal view; the arrow indicates cerci shape.
Fig. 10 – a in New and less known Orthoptera from biodiversity hotspots of Mozambique and Zambia (Tettigoniidae; Acrididae)
Fig. 10 – a, habitus and b, stridulatory file of Melidia brunneri Stål, 1876; c, habitus and d, stridulatory file of Melidia claudiae Massa, 2015; e, habitus and f, stridulatory file of Melidia pif n. sp.
Fig. 11 in New and less known Orthoptera from biodiversity hotspots of Mozambique and Zambia (Tettigoniidae; Acrididae)
Fig. 11 – Dorso-lateral view of cerci and subgenital plate of a, Melidia brunneri, b, M. claudiae, c, M. pif n. sp.; d, dorsal view of cerci of M. pif n. sp.; ventral view of the male subgenital plate of e, M. brunneri, f, M. claudiae, g, M. pif n. sp.; ventral view of the female subgenital plate of h, M. brunneri, i, M. claudiae (l), l, M. pif n. sp.
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.