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315 results for “Nile”
Supplementary material 1 from: El-Barougy RF, Cadotte MW, Khedr A-HA, Nada RM, Maclvor SJ (2017) Heterogeneity in patterns of survival of the invasive species Ipomoea carnea in urban habitats along the Egyptian Nile Delta. NeoBiota 33: 1-17. https://doi.org/10.3897/neobiota.33.9968
Table 1S. Comparison of stratified multivariable generalized linear models : Explanation note: Comparison of stratified multivariable generalized linear models that model the relationship between survival probability and different variables. The best model, selected by AIC, p-value of chi square, deviance explained (DE) and (AW). AW is the Akaikes weight which is the probability of the model being the best model explaining the relationship between survival probability and different variables. DE is the percentage of deviance explained (DE) as a measure of the model's goodness-of-fit.
Dataset accompanying the article: West Nile virus surveillance using sentinel birds: results of eleven years of West Nile virus testing in corvids in a region of Northern Italy
<p>In this dataset are resumed the results of West Nile virus surveillance in sentinel corvids in the Emilia-Romagna region, Northern Italy. Overall, 15,632 European magpies (<em>Pica pica</em>), 4670 Hooded crows (<em>Corvus cornix</em>), and 2012 Eurasian jays (<em>Garrulus glandarius</em>) were collected between May and October 2013-2023. In the nine provinces of the region, birds were shot or captured using Larsen traps and killed by trained hunters by cervical dislocation in accordance with the provisions of the national legislation on animal welfare (Council Regulation (EC) 1099/2009). Sampling was carried out on a voluntary basis under the supervision of the official veterinary services, which ensured rapid delivery of the birds to the laboratory in charge of testing.</p> <p>From each sampled bird, heart, brain, kidney, and spleen were pooled, mechanically homogenized and tested by real-time PCRs to detect WNV RNA (Del Amo et al., 2013; Eiden et al., 2010; Tang et al., 2006). All tests were performed in the same laboratory (Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna; IZSLER, Reggio Emilia site).</p> <p>The following data are available for statistical analysis: bird species, sampling date, sampling province, date of delivery to the laboratory, testing start date, test result, date of notification of positive result.</p> <p>In the same dataset are reported some data about incidence of human cases of disease due to West Nile virus infection (neurological disease or fever), per year, week, and province.</p> <p>The record trace is described in Table 1.</p> <p>References</p> <p>1. Del Amo, J., Sotelo, E., Fernández-Pinero, J., Gallardo, C., Llorente, F., Agüero, M., Jiménez-Clavero, M.A., 2013. A novel quantitative multiplex real-time RT-PCR for the simultaneous detection and differentiation of West Nile virus lineages 1 and 2, and of Usutu virus. J Virol Methods 189, 321–327. https://doi.org/10.1016/j.jviromet.2013.02.019</p> <p>2. Eiden, M., Vina-Rodriguez, A., Hoffmann, B., Ziegler, U., Groschup, M.H., 2010. Two new real-time quantitative reverse transcription polymerase chain reaction assays with unique target sites for the specific and sensitive detection of lineages 1 and 2 West Nile virus strains. J Vet Diagn Invest 22, 748–753. https://doi.org/10.1177/104063871002200515 </p> <p>3. Tang, Y., Anne Hapip, C., Liu, B., Fang, C.T., 2006. Highly sensitive TaqMan RT-PCR assay for detection and quantification of both lineages of West Nile virus RNA. J Clin Virol 36, 177–182. <a href="https://doi.org/10.1016/j.jcv.2006.02.008">https://doi.org/10.1016/j.jcv.2006.02.008</a></p> <p> </p> <p>Table 1. Dataset record trace</p> <table> <tbody> <tr> <td> <p><strong>Field_name</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>Year</p> </td> <td> <p>Year of sampling</p> </td> </tr> <tr> <td> <p>province_CODE</p> </td> <td> <p>Italian code of the province of sampling</p> </td> </tr> <tr> <td> <p>BIRD_species</p> </td> <td> <p>Bird species collected: magpie (Pica pica), hooded crow (Corvus cornix); jay (Garrulus glandarius)</p> </td> </tr> <tr> <td> <p>N_birds_collected</p> </td> <td> <p>Number of birds collected</p> </td> </tr> <tr> <td> <p>Sampling_ID</p> </td> <td> <p>Sampling code</p> </td> </tr> <tr> <td> <p>dt_sampling</p> </td> <td> <p>Sampling date of birds</p> </td> </tr> <tr> <td> <p>dt_delivery</p> </td> <td> <p>Date of delivery to the lab (birds)</p> </td> </tr> <tr> <td> <p>dt_registration</p> </td> <td> <p>Date of registration of the lab (birds)</p> </td> </tr> <tr> <td> <p>dt_analysis</p> </td> <td> <p>Date of analysis (birds)</p> </td> </tr> <tr> <td> <p>dt_notification</p> </td> <td> <p>Date of result notification (birds)</p> </td> </tr> <tr> <td> <p>WNV_PCR_Positive</p> </td> <td> <p>Number of birds with WNV Positive result (PCR)</p> </td> </tr> <tr> <td> <p>WNV_PCR_tested</p> </td> <td> <p>Number of birds tested (PCR)</p> </td> </tr> <tr> <td> <p>WNV_PCR_not_tested</p> </td> <td> <p>Number of birds not tested</p> </td> </tr> <tr> <td> <p>WNV_PCR_Negative</p> </td> <td> <p>Number of birds with WNV Negative result (PCR)</p> </td> </tr> <tr> <td> <p>sampling_week_corvids</p> </td> <td> <p>Number of week of sampling (birds)</p> </td> </tr> <tr> <td> <p>notification_week_corvids</p> </td> <td> <p>Number of week of result notification (birds)</p> </td> </tr> <tr> <td> <p>num_WNhuman_cases</p> </td> <td> <p>Number of WN disease human cases</p> </td> </tr> <tr> <td> <p>first_human_notification_dt</p> </td> <td> <p>Date of notification of the first human disease case</p> </td> </tr> <tr> <td> <p>province_pop</p> </td> <td> <p>Province population</p> </td> </tr> <tr> <td> <p>human_inc</p> </td> <td> <p>Incidence of human cases (x100,000)</p> </td> </tr> <tr> <td> <p>flag_season_human_cases</p> </td> <td> <p>Occurrence of WN human cases (1=Yes; 0=No)</p> </td> </tr> <tr> <td> <p>week_first human_case</p> </td> <td> <p>Number of week of notification of the first human disease case</p> </td> </tr> <tr> <td> <p>early_detection_code</p> </td> <td> <p>Early detection code (1=first detection in birds; 0=first detection in human beings; 9=No case detection in human beings)</p> </td> </tr> <tr> <td> <p>province_sup_km2</p> </td> <td> <p>Province surface (km2)</p> </td> </tr> <tr> <td> <p>delta_sampling_lab</p> </td> <td> <p>Days from sampling to delivery to the lab (birds)</p> </td> </tr> <tr> <td> <p>delta_lab_testing</p> </td> <td> <p>Days from lab registration to test (birds)</p> </td> </tr> <tr> <td> <p>delta_testing_notification</p> </td> <td> <p>Days from testing to result notification (birds)</p> </td> </tr> <tr> <td> <p>delta_sampling_notification</p> </td> <td> <p>Days from sampling to result notification (birds)</p> </td> </tr> </tbody> </table> <p> </p>
Fig. 2 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 2 Median-joining haplotype networks constructed using COI sequences (314 bp) for a Cichlidogyrus sclerosus, b Cichlidogyrus thurstonae and c Cichlidogyrus tilapiae collected in DRC, Madagascar and Burundi
Fig. 1 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 1 Map of sampling localities with the native range of Nile tilapia in pink (Teugels & Thys van den Audenaerde, 2003; Trewavas & Teugels, 1991). Localities 1–4 are in Lower Congo (1, Tondé; 2, Monzi; 3, Ndimba Leta; 4, Pond near Kila Kindinga), 5 in Middle Congo (Djugu-Djugu ponds), 6–12 in Upper Congo (6, Futuka Farm; 7, Lake Kipopo; 8, Zoo Lubumbashi; 9, Bumaki Farm; 10, Kiswishi River off Futuka Farm; 11, Luapula River off Kashiobwe; 12, Lake Tshangalele); 13 Pond adjacent to Lake Tanganyika, Burundi; 14-16 are in Madagascar (14, Lake Andranotapahina; 15, Ankafarantsika National Park, Lake Ravelobe; 16 Anjingo River near Antsohihy) and 17 is in Lake Kariba, Zimbabwe. Pool Malebo and Boyoma Falls (black bar) divide the Congo Basin in the above-mentioned sections. More info about the sampling localities in Addendum 1
Fig. 4 in Molecular footprint of parasite co-introduction with Nile tilapia in the Congo Basin
Fig. 4 Histogram of K2P model-corrected distances for COI, 18S, ITS-1 and 28S made with ASAP. Red line indicates a significant (P<0.05) barcoding gap. X-axis represents the genetic distance; Y-axis the number of distances
FIGURE 4. Geranium carolinianum floral and vegetative parts. A in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 4. Geranium carolinianum floral and vegetative parts. A. Life form (vegetative plant). B and C. Flowers. D. Herbarium specimen [Fatma A.A. Ayed 11820 (ASW, TANE, CAI)]. Leaves in maturation, primary and secondary lobes split and divided into a new one.
FIGURE 3 in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 3. Distribution pattern (world native and introduced range) of the three newly recorded taxa in the world (designed by the Author).
FIGURE 5. Macroptilium atropurpureum floral and vegetative parts. A. Life form. B in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 5. Macroptilium atropurpureum floral and vegetative parts. A. Life form. B. Petals of flower. C. 3-foliolate leaves. D. Seed under Olympus SZ61 microscope with Toup camera (Scale bar = 500 μm). E. Herbarium specimen [Fatma A.A. Ayed 11821 (ASW, TANE, CAI)].
FIGURE 1. A in Contribution to Egypt's Flora: new records from Nile Islands, South Valley, Egypt
FIGURE 1. A. The studied Nile Islands in Aswan Governorate, Egypt. B. The distribution pattern of the three newly recorded taxa in the first reach region in the Nile River, Egypt.
FIGURE 1 in Chaetopsina aquatica sp. nov. (Hypocreales, Nectriaceae) from the River Nile, Egypt
FIGURE 1. Maximum likelihood phylogenetic tree (-ln likelihood = 10028.26) generated from analysis of a combined ITS and LSU sequences dataset for Chaetopsina aquatica with other Chaetopsina species and other genera in Nectriaceae and Graphium jumulu as the outgroup taxon. Bootstrap support on the nodes represent ML and MP ≥ 50%. Branches received Bayesian pp ≥ 95% are in bold. The sequence of the new species in a box.
FIGURE 2 in Chaetopsina aquatica sp. nov. (Hypocreales, Nectriaceae) from the River Nile, Egypt
FIGURE 2. Chaetopsina aquatica (SUMCC H-18001, holotype). a Conidiophores on substrate. b–d Conidiophores bearing conidia. e Conidiophore with slimy head of conidia. f, g Conidiogenous cells with a flared collarette (arrowed) and stages in conidia production. h, j Conidia. i Conidiogenous cells with periclinal thickening (arrowed) k Germinating conidium. l, m Conidia. n, o Upper and reverse view of the 2 weeks old colony on MEA respectively. a–c, e, h, l from natural wood. d, f, g, i–k, m from culture. Scale bars: a = 100 μm, b–e = 20 μm, f–m = 10 μm.
Figure 2 in Coquillettidia chrysosoma (Edwards) (Diptera: Culicidae) in White Nile State, Sudan
Figure 2. The aquatic hyacinth Eichhornia crassipes, among which resting adults of Cq. chrysosoma were captured.
Figure 1 in Coquillettidia chrysosoma (Edwards) (Diptera: Culicidae) in White Nile State, Sudan
Figure 1. Map of Sudan showing the location of White Nile State and Al Jabalain area where mosquito surveys were conducted.
West Nile Virus Seroprevalence Under Bird Ringers
ClinicalTrials.gov study NCT05294003. IPD Sharing: NO. Countries: 1. Publications: 5.
Evaluating the Safety and Immunogenicity of a Live Attenuated West Nile Virus Vaccine for West Nile Encephalitis in Adults 50 to 65 Years of Age
ClinicalTrials.gov study NCT02186626. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Phase I Study of West Nile Virus Vaccine
ClinicalTrials.gov study NCT00300417. IPD Sharing: Not stated. Countries: 1. Publications: 2.
West Nile Virus Natural History
ClinicalTrials.gov study NCT00138463. IPD Sharing: Not stated. Countries: 2. Publications: 1.
High-Titer Neutralizing Plasma for West Nile Fever in Hospitalized Patients
ClinicalTrials.gov study NCT07094724. IPD Sharing: YES. Countries: 1. Publications: 10.
Natural History of West Nile Virus Infection
ClinicalTrials.gov study NCT00069303. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Omr-IgG-am(Trademark) for Treating Patients With or at High Risk for West Nile Virus Disease
ClinicalTrials.gov study NCT00069316. IPD Sharing: Not stated. Countries: 1. Publications: 4.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.