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373 results for “potential distribution”
FIG. 5 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 5. — Microtityus (Microtityus) adriki n. sp., pectines and sternites sculpturing: A, C, ♂ paratype (MZSP 76548); pectines (A); sternites IV-VII (C); B, D, ♀ holotype (MZSP 76547); pectines (B); sternites IV-VII (D). Scale bars: A, B, 1.0 mm; C, 1.5 mm; D, 2.5 mm.
FIG. 9 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 9. — Microtityus (Microtityus) adriki n. sp., live habitus: A, B, females, on leaf litter. Photos: Rogério Bertani.
FIG. 1 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 1. — Microtityus (Microtityus) adriki n. sp.: A, B, ♂ paratype (MZSP 76548): dorsal (A); ventral (B); C, D, ♀ holotype (MZSP 76547): dorsal (C); ventral (D). Scale bars: 5 mm.
FIG. 4 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 4. — Microtityus (Microtityus) adriki n. sp., dextral chela sculpturing;A-C, ♂ paratype (MZSP 76548): external (A), dorsal (B), ventral (C); D-F, ♀ holotype (MZSP 76547); external (D); dorsal (E); ventral (F). Abbreviations: db, dorsobasal; dt, dorsoterminal; Eb, eb, external basal; Esb, external sub-basal; Est, est, external subterminal; Et, et, external terminal; it, internal terminal; V, ventral. Scale bars: 1.0 mm.
FIG. 3 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 3. — Microtityus (Microtityus) adriki n. sp., dextral pedipalp femur and patella sculpturing: A-D, femur: A, B, ♂ paratype (MZSP 76548); dorsal (A), internal (B); C, D, ♀ holotype (MZSP 76547): dorsal (C), internal (D); E-H, patella: E, F, ♂ paratype (MZSP 76548); dorsal (E), ventral (F); G, H, ♀ holotype (MZSP 76547); dorsal (G); ventral (H). Abbreviations: d, dorsal; e, external; eb, external basal; esb, external sub-basal; em, external median; est, external subterminal; et, external terminal; i, internal. Scale bars: 0.7 mm.
FIG. 2 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 2. — Microtityus (Microtityus) adriki n. sp., carapace and tergites sculpturing, dorsal: A, ♂ paratype (MZSP 76548); B, ♀ holotype (MZSP 76547). Scale bars: A, 2.0 mm; B, 3.0 mm.
FIG. 11 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 11. — Principal component analysis of the environmental conditions for 100 random points within a 10 km buffer surrounding each point of occurrence of Microtityus (Microtityus) adriki n. sp. (blue squares), Microtityus (Microtityus) vanzolinii Lourenço & Eickstedt 1983 (red triangles), and other Microtityus species (green circles). The ellipses encompass the values within a multivariate t-distribution (i.e., confidence intervals). Full colors in icons represents an overplotting of 100 points.
FIG. 8 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 8. — Microtityus (Microtityus) adriki n. sp., telson sculpturing, lateral; A, ♂ paratype (MZSP 76548); B, ♀ holotype (MZSP 76547). Scale bars: 0.5 mm.
FIG. 7 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 7. — Microtityus (Microtityus) adriki n. sp., metasomal segments I-V and telson: A, C: ♂ paratype (MZSP 76548); lateral (A); ventral (C); B, D, ♀ holotype (MZSP 76547); lateral (B); ventral (D). Scale bars: 2.0 mm.
FIG. 10 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 10. — Geographical distribution (A) and environmental suitability (B) of Microtityus Kjellesvig-Waering, 1966 species, including Microtityus adriki n. sp. (yellow square), Microtityus vanzolinii Lourenço & Eickstedt 1983 (yellow triangle) and other species (red circles). The biogeographic regionalisation is depicted in B, with numbered regions cited in text. Provinces: 1, Yucatán Peninsula; 2, Mosquito; 3, Cuban; 4, Jamaica; 5, Hispaniola; 6, Guajira; 7, Venezuelan; 8, Magdalena; 9, Sabana; 10, Cauca; 11, Ucayali; 12, Imerí; 13, Guianan; 14, Guianan Lowlands, and 15, Roraima. Abbreviations: AM, state of Amazonas; AP, state of Amapá; BEL, Belize; BRA, Brazil; COL, Colombia; COS, Costa Rica; CUB, Cuba; DOR, Dominican Republic; ECU, Ecuador; FRG, French Guiana; GUA, Guatemala; GUY, Guyana; HAI, Haiti; JAM, Jamaica; MA, state of Maranhão; MEX, Mexico; NIC, Nicaragua; PA, state of Pará; PAN, Panama; PER, Peru; PI, state of Piauí; PUE, Puerto Rico; RR, state of Roraima; SUR, Suriname; TRIN, Trinidad and Tobago; VEN, Venezuela.
FIG. 6 in On one of the smallest Amazonian scorpions: a new species of Microtityus Kjellesvig-Waering, 1966 (Scorpiones, Buthidae) from Brazil, with amended diagnosis and potential distribution analysis for the genus
FIG. 6. — Microtityus (Microtityus) adriki n. sp., dextral hemispermatophore, ♂ paratype (CHNUFPI 1979); A, posterior view; B, lateral view; C, anterior view. Abbreviations: B, body; Bl, basal lobe; El, external lobe; F, foot; Fl, flagellum; il, internal lobe; Prec, pars recta; Pref, pars reflexa; Prex, pars recta expansion. Scale bar: 500 μm.
Рис. 10. РаспреΔеΛение обсΛеΔованных поΛей в иссΛеΔуемом регионе по степени засоренности Fig. 10. Distribution of the surveyed fields in the studied region by the degree of field weediness in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 10. РаспреΔеΛение обсΛеΔованных поΛей в иссΛеΔуемом регионе по степени засоренности Fig. 10. Distribution of the surveyed fields in the studied region by the degree of field weediness
Рис. 2. РаспреΔеΛение среΔних почвенных образцов по коΛичеству жизнеспособных цист Heterodera glycines Fig. 2. Distribution of average soil samples by the number of viable cysts of Heterodera glycines in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 2. РаспреΔеΛение среΔних почвенных образцов по коΛичеству жизнеспособных цист Heterodera glycines Fig. 2. Distribution of average soil samples by the number of viable cysts of Heterodera glycines
The rare earth element distribution in marine carbonates as a potential proxy for seawater pH on early earth
<p>Understanding the marine environment of early Earth is crucial for understanding the evolution of climate and early life. However, the master variable of Archean and Proterozoic seawater, the pH, is poorly constrained, and published ideas about the pH range encompass ~7 pH units from mildly acidic to hyperalkaline. To better infer ancient seawater pH, we examine the possibility of a seawater pH proxy using rare earth elements (REEs) in marine carbonates. The principle is based on increasing concentrations of heavy rare earth elements in solution relative to the light REEs with decreasing pH due to REE complexation and scavenging. We calibrated such an REE pH proxy using pH variability in modern seawater and tested the proxy with ~100 REE measurements from 13 separate carbonate formations. We compared our pH estimates derived from the REE proxy to published pH estimates of Cenozoic and Neoproterozoic seawater that use the established pH proxy of boron isotopes (δ<sup>11</sup>B). REE-pH estimates agree with the Cenozoic and the Ediacaran δ<sup>11</sup>B-pH proxy based on the type of carbonate and boron isotopic composition at corresponding times. The uncertainty in our REE-pH proxy can probably be explained by model assumptions, noise from freshwater influence, siliciclastic input, and diagenesis. This proof-of-concept study demonstrates that the REE-pH method provides pH estimates comparable to boron isotope pH estimates within uncertainties, which potentially could constrain changes in Precambrian seawater pH to better understand the coevolution of life and early Earth's environment.</p>
figure 8 Potential distribution modeling for G. subgutturosa across different time periods, including a in Unraveling goitered gazelle (Gazella subgutturosa) diversification: insights from phylogeography and species distribution modeling
figure 8 Potential distribution modeling for G. subgutturosa across different time periods, including a) the Last Glacial Maximum (lgm; 21 Kya) and b) mid-Holocene (6 kya) as past scenarios, c) the present as a current scenario, and future climatic projections for 2070 are based on specific climate models (d: bcc-csm 1, rcp: 4.5; e: bcc-csm1, rcp: 6; f: ccsm 4, rcp: 4.5; g: ccsm 4, rcp: 6.0). Habitat suitability is visualized using color gradients, with blue representing the highest suitability Downloaded from Brill.com 06/21/2024 06:25:06PM and green representing the via lowestOpensuitability Access..This The is presence an openof access article distributed under the terms G. subgutturosa is denoted by a red dot. of the CC BY 4.0 license. https://creativecommons.org/licenses/by/4.0/
Fig. 1 in Potential geographic distributions of two parthenogenetic weevils (Coleoptera: Curculionidae) associated with citrus in Argentina and Brazil
Fig. 1. Binary maps of the ecological niche models for 2 parthenogenetic weevils. (A) Parapantomorus fluctuosus; (B) Pantomorus cinerosus. Potential distributions are shown in red and occurrence records used in the model are in white circles.
Fig. 1 in Maximum entropy niche-based modeling (Maxent) of potential geographical distribution of Coreura albicosta (Lepidoptera: Erebidae: Ctenuchina) in Mexico
Fig. 1. Model of potential distribution of Coreura albicosta with enhancement of the favorable climatic regions for this species, and superposition with the network of protected areas of México. Gray: lower probability of appropriate environmental conditions for distribution of the species. Light gray sections represent the decision threshold (0.2426) in which the grids are favorable for the distribution of the species. Darker sections inside light gray: areas with high probability of presence of the species. Black dots indicate the known distribution of the species. The protected areas are represented with a black line.
Fig. 1 in Actual and potential distribution of five regulated avocado pests across Mexico, using the maximum entropy algorithm
Fig. 1. Potential distribution of 5 insect pests of quarantine importance in Mexican avocados, based on ecological niche modeling. A) Conotrachelus aguacatae; B) Conotrachelus perseae; C) Copturus aguacatae; D) Heilipus lauri; and E) Stenoma catenifer. Current and potential distribution in Mexico was projected according to biogeographic provinces (Morrone 2005, 2014a), 1 = Baja California, 2 = California, 3 = Sonora, 4 = Sierra Madre Occidental, 5 = Mexican Plateau, 6 = Tamaulipeca, 7 = Mexican Pacific Coast, 8 = Trans-Mexican Volcanic Belt, 9 = Sierra Madre Oriental, 10 = Veracruzana, 11 = Balsas Basin, 12 = Sierra Madre del Sur, 13 = Chiapas, 14 = Yucatan. Scale values: 0 = absence, 1 = presence.
Fig. 2 in Actual and potential distribution of five regulated avocado pests across Mexico, using the maximum entropy algorithm
Fig. 2. Geographic areas in Mexico where both the insect pest and avocados are found. Shading indicates hectares affected. A) Conotrachelus aguacatae; B) Conotrachelus perseae; C) Copturus aguacatae; D) Heilipus lauri; and E) Stenoma catenifer.
Fig. 3 in Predicting the potential distribution of the subalpine broad-leaved tree species, Betula ermanii Cham. under climate change in South Korea
Fig. 3. The Jackknife test for evaluating the relative importance of environmental variables for Betula ermanii in South Korea.
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.