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Figure 2 in Tritrophic relations and spatial distribution of fruit flies (Diptera: Tephritidae) in the Cerrado and Caatinga regions in Piauí, Brazil
Figure 2 (A) Spatial distribution of fruit plants, (B) fruit flies (Diptera: Tephritidae), (C) parasitoids Hymenoptera and (D) tritrophic relationship in sampling of native and exotic fruits (municipality of Bom Jesus -PI, July 2018 to May 2019).
Figure 2 in Spatial distribution and effects of land use and cover on cutaneous leishmaniasis vectors in the municipality of Paracambi, Rio de Janeiro, Brazil
Figure 2 Monthly mean relative abundance of medically relevant sand fly species. Please note the scale difference in the Y axis. Paracambi, RJ, Brazil, 1992-1994.
Fig. 2 in Planktonic Ciliates of the Neva Estuary (Baltic Sea): Community Structure and Spatial Distribution
Fig. 2. Two groups of samples, distinguished by ordination (MDS) on the basis of similarity of the ciliate community structure (p <0.05). Upper and lower parts of the inner Neva Estuary (white and grey symbols) slightly differed by community structure (Global R = 0.163).
Fig. 1 in Planktonic Ciliates of the Neva Estuary (Baltic Sea): Community Structure and Spatial Distribution
Fig. 1. Scheme of the inner Neva Estuary and location of sampling stations; modified from Telesh et al. (2008). Broken line indicates the storm-surge barrier.
Fig. 1 in Anthropozoonotic significance, risk factors and spatial distribution of Giardia spp. infections in quenda (Isoodon obesulus) in the greater Perth region, Western Australia
Fig. 1. Geographical distribution of Giardia spp. infection in Perth quenda. Quenda were mapped using the GPS position of the location at which they were trapped. GPS points are jittered, and icons for uninfected quenda are 50% transparent, to improve visualisation of the relative distribution of Giardia spp. infection. By Kulldorff's spatial scan statistic, the circle in the north-west region represents a cluster of relatively decreased Giardia spp. infection risk in Perth quenda (OR of infection <0.001, compared to quenda trapped elsewhere in Perth; p <0.001).
Figure 3 in Spatial and temporal distribution of aquatic insects in the Dicle (Tigris) River Basin, Turkey, with new records
Figure 3. Nanocladius spiniplenus, pupa: a- TII–IX, b- thoracic horn, c- precorneal setae, d- anal lobe with three macrosetae.
Figure 4 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 4. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of nymphs + adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 3 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 3. Surface maps constructed based on Inverse Distance Weight (IDW) interpolation showing spatial distribution of adults in cotton between 55 (A) 70 (B), 77 (C), 84 (D), 91 (E) days after emergence (DAE) and Sum of all Evaluations (F). Low density is represented in green while red indicates high density of E. meditabunda.
Figure 1 in Temporal variation and spatial distribution of the pest insect Edessa meditabunda in cotton (Gossypium hirsutum) as an alternative host plant
Figure 1 Temporal variation of Edessa meditabunda population in the alternative host plant Gossypium hirsutum (cotton) in experimental Field of Dourados, Brazil.
Figure 10 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 10 Pairwise genetic distance (mean and standard error) in the S. latifascia group (S. cosmioides, S. descoinsi, S. evanida, and S. latifascia) based on sequences of the Cytochrome oxidase subunit I (COI) gene fragment, using Kimura-2 parameters (K2P) model. The dashed line highlights a 1% threshold of distance.
Figure 8 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 8 Maximum likelihood tree of Spodoptera cosmioides reconstructed based on sequences of the Cytochrome oxidase subunit I gene. Sequences of S. descoinsi (blue), S. evanida, and S.latifascia taken from BOLD Systems were also included.The numbers above the branches indicate bootstrap support (asterisk indicates values below 50%). Bold indicate sequences from French Guiana (blue, S. descoinsi; black, S. cosmioides).
Figure 7 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 7 Variation in Spodoptera cosmioides wing length for populations distributed along a latitudinal gradient in Brazil. Blue and yellow colors correspond to male and female, respectively. Box plots represent medians and quartiles.
Figure 6 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 6 Lectotype of Spodoptera cosmioides (A), paratype of S. descoinsi (B), possible (syn)type of S. latifascia (C), and lectotypeof Prodenia variolosa Walker, a junior synonym of S. latifascia (D), under dorsal view. Dorsal and ventral views of a specimen of S. evanida (E). Scale bar: 10 mm.
Figure 1 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 1 Geographical distribution of Spodoptera cosmioides and S. latifascia from the literature (Pogue, 2002; Dumas et al., 2015), field collection, and museum records obtained in the present study.
Figure 9 Evolutionary relationships within the S in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 9 Evolutionary relationships within the S. latifascia group based on sequences of the Cytochrome oxidase subunit I gene (COI). Median-joining network among COI haplotypes (A). Haplotype frequency is indicated by the circle size (given in the inlet). Distribution of the five haplotypes identified in cosmioides+ descoinsi clade indicated by circles of fixed size, colored, according to the proportion of occurrence for each site (B).
Figure 5 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 5 Variation in dorsal wing color pattern in Spodoptera cosmioides. A-B Rio Branco: A #m, B #f (left forewing); C-D Planaltina: C #m, D #f (left forewing); E-F Chapadão do Sul: E #m, F #f (left forewing); G-H Alegre:G #m, H #f (left forewing); I-J Londrina: I #m, J #f (left forewing); K-L Passo Fundo: K #m, L #f (left forewing). Scale bars: 5 mm, respectively.
Figure 2 in Spodoptera cosmioides (Lepidoptera: Noctuidae) in Brazil: spatial distribution and relationship in the S. latifascia species group
Figure 2 Geographical distribution of Spodoptera evanida and S. descoinsi from the literature (Pogue, 2002; Dumas et al., 2015; GBIF Secretariat, 2023).
Figure 1 in Spatial distribution and dietary niche breadth of the leopard Panthera pardus (Carnivora: Felidae) in the northeastern Himalayan region of Pakistan
Figure 1. Distribution of the leopard (Panthera pardus) in and around Pir Lasura National Park, northeastern Himalayan region, Pakistan, as indicated by various direct and indirect signs of the species.
Figure 4 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 4. Correlation of the sampling frequency of earthworms D. octaedra and D. attemsi in the main forest types, depending on humidity (n: amount of samples). 1: pine forests, 2: dark coniferous forests, 3: coniferous-deciduous forests, 4: beech forests. and 5: deciduous forests. sss
Figure 2 in Spatial distribution of the epigeic species of earthworms Dendrobaena octaedra and D. attemsi (Oligochaeta: Lumbricidae) in the forest belt of the northwestern Caucasus
Figure 2. Occurrence of earthworms in the samples (plant litter + deadwood) in the main forest types of northwestern Caucasus (n; coniferous-deciduous forests: 824, dark coniferous forests: 492, beech forests: 980, deciduous forests: 2275, and pine forests: 220).
ScienceDex guides
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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.