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FIGURE 1 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 1. Kuwania oligostigma De Lotto, adult female, from De Lotto (1959: 217, Fig. 3), reproduced with permission of the Entomological Society of Southern Africa. A: ventral apex of tibia with numerous capitate setae. Note the absence of abdominal spiracles.
FIGURE 8 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 8. Matsucoccus feytaudi Ducasse, adult female, from Foldi (2005b: 150, Fig. 1), reproduced with permission from Annales de la Société entomologique de France.
FIGURE 12 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 12. "Crypticerya" aegyptiensis Foldi, adult female, from Foldi (2010: 292, Fig. 1). C: cicatrices. Reproduced with permission from Annales de la Société entomologique de France.
FIGURE 3 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 3. The life cycle of ground pearls (Margarodidae), from Foldi (2005a: 90, Fig. 2), reproduced with permission from Annales de la Société entomologique de France.
FIGURE 11 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 11. Gueriniella serratulae (Fabricius), adult female, developed from Morrison (1928: 198, Fig. 105).
FIGURE 14 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 14. Gigantococcus bimaculatus De Lotto, adult female, from De Lotto (1959: 386, Fig.1), reproduced with permission of the Entomological Society of Southern Africa.
FIGURE 15 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 15. Afrodrosicha nimbae Vayssière, adult female, from Vayssière (1968: 1494-1495, Figs 1 and 2).
FIGURE 17 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 17. Aspidoproctus maximus (Lounsbury), adult female, developed from Morrison (1928: 152, Fig. 75 and 153, Fig. 76).
FIGURE 19 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 19. Pseudaspidoproctus hyphaeniacus (Hall), adult female, developed from Morrison (1928: 139, Fig. 66). C: cicatrices; M: marsupium opening.
FIGURE 6 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 6. Margarodes prieskaensis, adult female and A: immature cyst stage, developed from de Klerk et al. (1982: 70-71, Figs. 6 and 7) and de Klerk et al. (1983: 135, Fig. 2); reproduced with the authors' permissions.
FIGURE 7 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 7. Margarodesia desmieri Foldi, adult female, from Foldi (2005a: 103, Fig. 10), reproduced with permission from Annales de la Société entomologique de France. A: antenna.
FIGURE 6 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 6. Genetic transitive graph based on a dataset of nrITS sequences from R. mellea complex using the Hamming distance (cutoff point = 100). Each point is labelled with the specimen voucher and its location, while the lines are numbered with Hamming distance values.
FIGURE 4 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 4. Rhodocybe mellea var. depressa microscopic features (holotype UFRN-Fungos 3386). a Basidiospores. b Basidia and sclerobasidia. c Pseudocystidia. d Pileipellis: suprapellis structure and terminal hyphae. Scale bars: 5 μm. Drawings by A.G.S. Silva-Filho.
FIGURE 5 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 5. Comparison of pairwise genetic distances within R. mellea complex (n = 5) and between other Rhodocybe s. str. species based on nrITS sequences (n = 7). In the first graph, sequences from the R. mellea complex are represented by the abbreviation of the name of its country of origin: Dom Rep = Dominican Republic, CR = Costa Rica, BR = Brazil, BLZ = Belize.
FIGURE 3 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 3. Rhodocybe mellea var. depressa microscopic features (holotype UFRN-Fungos 3386). a From L–R: Sclerobasidia, basidia and pseudocystidia. b Basidiospores. c Sclerobasidia. d Pileipellis. a, b and d: in KOH 5%; c: stained in Congo Red. Scale bars: 5 μm. Photos by M.D. Xavier.
FIGURE 2 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 2. Photographs of the habitat and fresh basidiomata of Rhodocybe mellea var. depressa (holotype UFRN-Fungos 3386). a Basidiomata. b Coastal Tableland, Savanna vegetation. Scale bars: 10 mm. Photos by J.O. Sousa and F. Wartchow.
FIGURE 1 in Fine-scale diversity in Rhodocybe mellea (Entolomataceae, Basidiomycota), with a description of a new variety and notes on sclerotia formation in Rhodocybe
FIGURE 1. ML phylogeny based on combined nrITS and nrLSU sequences of Entolomataceae. Rhodocybe mellea var. depressa is indicated in blue. The names in red are sequences from Central and South America. For each sequence the current name and specimen voucher are provided. Thickened branches indicate those with maximum ML bootstrap values and Bayesian posterior probability (100 % BS / 1.0 BPM). Bootstrap values and posterior probabilities are indicated only if they exceed 80 % BS / 0.95 BPM. The scale bar represents the expected number of nucleotide changes per site.
FIGURE 20 in Towards identification of the scale insects (Hemiptera: Coccomorpha) of continental Africa: 2. Checklists and keys to six archaeococcoid families
FIGURE 20. Vrydagha lepesmei Vayssière), adult female, developed from Vayssière (1957: 2, Figs 1 and 3).
Interaction of diet and habitat predicts Toxoplasma gondii infection rates in wild birds at a global scale
<p><b>Aim:</b> Free-ranging wildlife are valuable sentinels for zoonotic, multi-host pathogens, and novel insight on parasite transmission patterns is possible through a macroecological approach. <i>Toxoplasma gondii</i> is a protozoan capable of infecting all warm-blooded animals, including humans, primarily through a free-living oocyst and/or tissue cyst life-stage. Anthropogenic disturbance is facilitating the spread of <i>T. gondii</i>, making it critical to understand the general ecological and life history drivers of <i>T. gondii</i> infections in wild birds, which are important intermediate hosts. Our goal was to determine how habitat (terrestrial vs. aquatic), dietary trophic level and scavenging behaviour influence <i>T. gondii</i> infection prevalence in wild birds on a global scale.</p> <p><b>Location: </b>Global</p> <p><b>Time period: </b>1952-2017</p> <p><b>Major taxa studied: </b>Birds</p> <p><b>Methods</b>: Our analysis used the serological, bioassay and molecular prevalence data of <i>T. gondii</i> in avian species compiled from 81 studies conducted worldwide and encompassing 24,344 individuals from 393 avian species from 84 families.</p> <p><b>Results: </b>We show that at a global scale, trophic level and habitat significantly interact to influence <i>T. gondii </i>prevalence in avian intermediate hosts. In the terrestrial environment, <i>T. gondii</i> prevalence increases with trophic level, consistent with predominant tissue cyst transmission. The highest prevalence was in terrestrial omnivores, which may reflect their synanthropic foraging behaviour. In aquatic species, prevalence was more consistent across trophic levels, but high prevalence in aquatic herbivores and insectivores reflects significant waterborne exposure to oocysts. Contrary to our predictions, generalized scavenging <i>per se</i> was not associated with increased prevalence.</p> <p><b>Main conclusions:</b> This study highlights the value of comparing pathogen prevalence among multiple ecological guilds and ecosystem types for a comprehensive understanding of the epidemiology of generalist pathogens, such as <i>T. gondii</i>. Increased effort is needed to reduce <i>T. gondii</i> spillover from the domestic cat cycle into wildlife populations.</p>
Data for "Machine Learning Parameterization of Subgrid-Scale Orographic Gravity Wave Drag in a Middle-Atmosphere General Circulation Model" by Lu et al., submitted to JAMES, 2022.
<p>The NetCDF data file involving the decision tree strucutre attributes of the random forest emulator.</p> <p>gcm_regressors/<br> The data file involving the decision tree strucutre attributes (in NetCDF format)</p>
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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)
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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.