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2,739 results for “arizona”
Figs. 1–3. Plateros milleri. 1 in A New Species of Plateros Bourgeois (Coleoptera: Lycidae) from Arizona
Figs. 1–3. Plateros milleri. 1) Dorsal habitus; 2) aedeagus lateral, oriented with dorsum to left; 3) aedeagus ventral. Scale bar ¼ 0.5 mm for figs. 2 and 3.
Fig. 6 in Madreallecula Mcclevei Kanda (Coleoptera: Tenebrionidae: Alleculinae: Alleculini), New Genus and New Species of Comb-Clawed Beetle from Arizona, USA
Fig. 6. Ventral view of the aedeagus of Madreallecula mcclevei (parameres and portion of the phallobase). Scale bar = 0.25 mm.
Fig. 7 in Madreallecula Mcclevei Kanda (Coleoptera: Tenebrionidae: Alleculinae: Alleculini), New Genus and New Species of Comb-Clawed Beetle from Arizona, USA
Fig. 7. Map of Arizona showing known localities for Madreallecula mcclevei. Scale bar = 100 miles. (Map courtesy of Digital Vector Maps).
Figs. 3–5 in Madreallecula Mcclevei Kanda (Coleoptera: Tenebrionidae: Alleculinae: Alleculini), New Genus and New Species of Comb-Clawed Beetle from Arizona, USA
Figs. 3–5. Antennae of Alleculina. 3) Madreallecula mcclevei; 4) Hymenorus sp.; 5) Knausia crassicornis. Scale bar = 1 mm.
Fig. 2 in Collection History and Comparison of the Interactions of the Goldspotted Oak Borer,Agrilus auroguttatusSchaeffer (Coleoptera: Buprestidae), with Host Oaks in Southern California and Southeastern Arizona, U.S.A.
Fig. 2. The four mountain ranges (Santa Catalina, Santa Rita, Huachuca, and Chiricahua) in the Coronado National Forest in southeastern Arizona where historical collections of Agrilus auroguttatus were made. General localities (X) are noted on the four mountain ranges, but a few exact localities (•) were available from collection labels.
Fig. 1 in Collection History and Comparison of the Interactions of the Goldspotted Oak Borer,Agrilus auroguttatusSchaeffer (Coleoptera: Buprestidae), with Host Oaks in Southern California and Southeastern Arizona, U.S.A.
Fig. 1. Distibution of oak mortality (red areas) caused by the goldspotted oak borer, Agrilus auroguttatus, in San Diego Co., California. A) 2002 to 2004, B) 2002 to 2007, C) 2002 to 2010. This area ranges from 32°42′09.90″N, 116°20′34.67″W to 32°49′41.60″N, 116°51′30.33″W to 32°36′31.45″N, 116°28′06.77″W to 33°11′58.64″N, 116°42′37.96″W. Location of satellite infestation (southwest of red * in map D) found in 2009 is Marion Bear Memorial Park near La Jolla.
Fig. 12. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 12. Eleodes species, dorsal habitus. A) E. dissimilis, female, B) E. nigrinus, male, C) E. obscurus sulcipennis, female, D) E. obscurus dispersus, male. Scale bars = 1 cm.
Fig. 9. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 9. Eleodes species, dorsal habitus. A) E. rileyi, female, B) E. leptoscelis, paratype, male, C) E. arcuatus, female, D) E. debilis, female. Scale bars = 1 cm.
Fig. 10. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 10. Eleodes species, dorsal habitus. A) E. anthracinus, female, B) E. carbonarius carbonarius, male, C) E. carbonarius obsoletus, female, D) E. carbonarius chihuahuaensis, female. Scale bars = 1 cm.
Fig. 11. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 11. Eleodes species, dorsal habitus. A) E. madrensis, female, B) E. hepburni, female, C) E. delicatus, female, D) E. wheeleri, female. Scale bars = 1 cm.
Fig. 6. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 6. Eleodes species, dorsal habitus. A) E. eschscholtzi, male, B) E. eschscholtzi, female; C) E. caudiferus, D) E. spinipes macrurus, male. Scale bars = 1 cm.
Fig. 5. Eleodes species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 5. Eleodes species, dorsal habitus. A) E. barbatus, B) E. pilosus, C) E. tribulus, male, D) E. tribulus, female. Scale bars = 1 cm.
Fig. 3. Eleodes species, character states. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 3. Eleodes species, character states. A) E. obscurus, spined fore femur, B) E. hepburni, sinuate fore femur, C) E. pilosus, simple fore femur; D) E. subnitens, male, probasitarsis with tomentose pad, E) E. debilis, female, probasitarsis with pencil brush of dark spicules, F) E. suturalis, lateral elytral carina, G) E. longicollis, prosternal process projected posteroventrally, H) E. subnitens, prosternal process porrect, projected posteriorly.
Fig. 2. Amphidorini species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 2. Amphidorini species, dorsal habitus. A) Embaphion glabrum, B) Neobaphion planipennis. Scale bars = 1 cm.
Fig. 1. Amphidorini species, dorsal habitus. A in Amphidorini Leconte (Coleoptera: Tenebrionidae) of Arizona: Keys and Species Accounts
Fig. 1. Amphidorini species, dorsal habitus. A) Trogloderus costatus, western form, B) T. costatus, northern form, C) Embaphion depressum, D) Embaphion contusum. Scale bars = 1 cm.
Bias Corrected and Gap Filled Sentinel-1 and University of Arizona Snow Depth Data
Open the record for dataset details and reuse information.
Petroglyph Panel, NE Arizona
Little Colorado River drainage, Arizona. Source: Objaverse 1.0 / Sketchfab
Trace and rare-earth element composition of 2480 Ma detrital zircons in Proterozoic metapsammites from northwestern Arizona
<p>Detrital zircon grains in the ~1740-1750 Ma Vishnu Schist and similar rock units in northwestern Arizona consist of up to 30% grains dated by U-Pb isotopic analysis at 2470-2490 Ma. These zircon grains are distributed over ~40,000 km<sup>2 </sup>and define an age peak at 2480.0 ± 27.3 Ma (2SE). These grains have yielded unusually consistent <sup>207</sup>Pb/<sup>206</sup>Pb dates, with generally smaller analytical uncertainty and greater concordance to ideal U-Pb evolution than grains of other ages. A weighted mean age of 2480 ± 0.9 Ma (2SE) for this zircon population reflects consistent analytical results and high analytical precision but not the accuracy of the age. The source of these zircons has not been identified. To better characterize the unidentified source, we analyzed 45 of these grains for trace and rare-earth elements by laser-ablation mass spectrometry and scanned 16 grains with an electron microprobe to identify mineral inclusions. Mass spectrometer determinations of Sc/Yb and Nb/Sc support derivation from an oceanic-island igneous source. Electron microprobe scans revealed quartz in 5 of 16 grains, indicating a felsic source. The low variability in <sup>207</sup>Pb/<sup>206</sup>Pb dates and a generally linear relationship between U and Th support zircon derivation from a single igneous unit or closely related set of units without xenocrystic zircons. A literature search for other zircon populations with similar age and U/Th ratios identified ~2480 Ma zircons in a Mesoproterozoic(?) metapsammite and conglomerate in southwestern Montana. This sandstone was deposited near the margin of the Wyoming craton and contains almost entirely 2400-3600 Ma zircons, unlike zircon grains in Vishnu Schist which include a large population of 1730-1900 Ma zircons. From this relationship, we infer that the 2480 Ma zircons in both areas were derived from a source in the Wyoming craton. We conclude that the 2480 Ma Vishnu zircons were derived from a felsic batholith that formed above and from hotspot magma related to the ~2450-2480 Ma Matachewan Large Igneous Province, that this batholith formed by mixing between a mantle-derived hotspot magma and assimilated Archean continental crust, and that the source rock was emplaced during initial rifting between the Wyoming craton and the Superior province.</p>
Hourly and daily values of meteorological elements from 40 meteorological stations located in Arizona (USA)
<p>The collection includes three text files (Arizona_meteo_hourly_01.txt; Arizona_meteo_hourly_02.txt; Arizona_meteo_daily.txt) with hourly and daily values of measurements from 40 meteorological stations located in Arizona (USA). The data was collected from September to November 2024 by Sylwester Wereski as a part of MINIATURA 5 "The occurrence of strong heat stress in hot and arid climate condition" (2021/05/X/ST10/00587), the research internship project at Arizona State University financed by the National Science Center in Poland. The source of data is website https://cales.arizona.edu/azmet/az-data.htm managed by AZMET (The Arizona Meteorological Network). The collection also includes a Readme.txt file, which contains a description of the location of the meteorological stations and the period of measurements conducted, as well as a description of meteorological variables.</p>
Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona
<p>This dataset contains the simulation results of the combined effects of future urban growth and climate change on irrigation water use in the Phoenix Metropolitan Area, central Arizona. The simulation is conducted with the Variable Infiltration Capacity (VIC) model at 1-km, hourly resolution from 1981-2100 and aggregated to 30-yr average in this dataset. </p> <p>The 30-yr average results are compressed and organized into three files: <strong>Baseline</strong>, <strong>ICLUS2050</strong>, and <strong>ICLUS2100</strong>. The Baseline file contains results using the historical land cover map (year 2010). The <strong>ICLUS2050</strong> and <strong>ICLUS2100</strong> contain results using future land cover maps. The filename of modeling results contains the associated land cover and climate change scenario as follows: "fluxes.irri.ICLUS_<em>$YEAR</em>_<em>$LCSCE</em>.<em>$CLSCE.$GCM</em>.nc", where <em>$YEAR</em> is the year of land cover change projection (2050 or 2100), <em>$LCSCE</em> is the land cover change scenario (SSP2 or SSP5), <em>$CLSCE</em> is the climate change scenario (RCP45 or RCP85), and <em>$GCM</em> is the GCM used (eight in total) </p> <p>More details can be found on the associated paper (this record will be updated when the paper is published):</p> <p>Wang, Z., and Vivoni, E.R. 2021. Combined Effects of Future Urban Growth and Climate Change on Irrigation Water Demand in Central Arizona. <em>Journal of the American Water Resources Association (in revision)</em>.</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.