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9,882 results for “Scale”
Figure 1 from: Moghaddam M (2013) An annotated checklist of the scale insects of Iran (Hemiptera, Sternorrhyncha, Coccoidea) with new records and distribution data. ZooKeys 334: 1-92. https://doi.org/10.3897/zookeys.334.5818
Figure 1 - Outline map of Iranian provinces. 1 Azarbaijan - e Garbi 2 Azarbaijan -e Shargi 3 Ardabil 4 Gilan 5 Mazandaran 6 Golestan 7 Khorosan -e Shomali 8 Khorasan -e Razavi 9 Khorasan -e Jonoubi 10 Semnan 11 Tehran 12 Ghazvin 13 Zanjan 14 Kordestan 15 Kermanshah 16 Hamadan 17 Qom 18 Markazi 19 Lorestan 20 Ilam 21 Khouzestan 22 Chaharmahal-Bakhtiari 23 Esfahan 24 Yazd 25 Kohgilouyeh & Boyerahmad 26 Bushehr 27 Fars 28 Kerman 29 Sistan & Belouchestan 30 Hormozgan
Figures 14-19 from: Simon E (2013) Preliminary study of wing interference patterns (WIPs) in some species of soft scale (Hemiptera, Sternorrhyncha, Coccoidea, Coccidae). ZooKeys 319: 269-281. https://doi.org/10.3897/zookeys.319.4219
Figures 14-19 - Males with "eliptical" patterns of WIPs, subfamily Eriopeltinae: 14, 15 WIP of Luzulaspis frontalis Green 16–17 WIP of Luzulaspis nemorosa Koteja. 18–19 WIP of Eriopeltis lichtensteini Signoret.
Figures 1-5 from: Simon E (2013) Preliminary study of wing interference patterns (WIPs) in some species of soft scale (Hemiptera, Sternorrhyncha, Coccoidea, Coccidae). ZooKeys 319: 269-281. https://doi.org/10.3897/zookeys.319.4219
Figures 1-5 - 1 General scheme of the fore wing (after Koteja 2008) acp-alar cupolae, afx-anterior flexing patch, alf-alar fold, alp-alar lobe, asfd-anterior subcostal field, ast-alar setae, clfd-claval (anal) field, cofd-costal field or thickening, cufd-cubital field, cur-cubital ridge, mat-macrotrichia, mit-microtrichia, pfx-posterior flexing patch, psfd-posterior subcostal field, ptst-pterostigma, rs-"radial sector", scr-subcostal ridge 2, 3 Pulvinaria vitis (Linnaeus): scanning electron microphotographs of the wing, showing its microsculpture 4, 5 Male of Pulvinaria vitis (Linnaeus) on white background, with invisible WIPs, and 2 on a black background, showing WIPs.
Figures 6-13 from: Simon E (2013) Preliminary study of wing interference patterns (WIPs) in some species of soft scale (Hemiptera, Sternorrhyncha, Coccoidea, Coccidae). ZooKeys 319: 269-281. https://doi.org/10.3897/zookeys.319.4219
Figures 6-13 - Males with "horizontally striped patterns" of WIPs, subfamilies Eulacaninae and Coccinae: 6–7 WIP of Sphaerolecanium prunastri (Boyer de Fonscolombe) 8–9 WIP of Eulecanium tiliae (Linnaeus) 10, 11 WIP of Pulvinaria vitis 12–13 WIP of Parthenolecanium corni (Bouché).
Figure 3 from: Rung A, Miller D, Parikh G (2014) Scale Insects, edition 2, a tool for the identification of potential pest scales at U.S.A. ports-of-entry (Hemiptera, Sternorrhyncha, Coccoidea). ZooKeys 431: 61-78. https://doi.org/10.3897/zookeys.431.7474
Figure 3 - Screen snapshot of the Lucid Key to families, Scale Insects, edition 2 (viewed from Firefox 27.0.1 on April 10, 2014). Features can be selected in any order or they can be selected by the program by clicking on the "best character" icon (indicated with black arrow). Entities with the character states selected remain in the "entities remaining" window (upper right window) whereas those that do not match the states selected are sent to the "entities discarded" (lower right window).
Figure 2 from: Rung A, Miller D, Parikh G (2014) Scale Insects, edition 2, a tool for the identification of potential pest scales at U.S.A. ports-of-entry (Hemiptera, Sternorrhyncha, Coccoidea). ZooKeys 431: 61-78. https://doi.org/10.3897/zookeys.431.7474
Figure 2 - Screen snapshots of the diagnostic page of Exallomochlus camur Williams in the Mealybugs and Mealybug-like families of Scale Insects, edition 2 (viewed from Firefox 27.0.1 on April 10, 2014). Diagnostic features are marked by rectangles; rolling the mouse over each rectangle will bring up an enlargement of the feature.
Figure 1 from: Rung A, Miller D, Parikh G (2014) Scale Insects, edition 2, a tool for the identification of potential pest scales at U.S.A. ports-of-entry (Hemiptera, Sternorrhyncha, Coccoidea). ZooKeys 431: 61-78. https://doi.org/10.3897/zookeys.431.7474
Figure 1 - Screen snapshot of the home page of Scale Insects, edition 2 (viewed from Firefox 27.0.1 on April 10, 2014).
Figure 4 from: Gutjahr S, Schmidt S, Hahn H (2014) A proposal for a groundwater habitat classification at local scale. Subterranean Biology 14: 25-49. https://doi.org/10.3897/subtbiol.14.5429
Figure 4 - Boxplots on a Groundwater-Fauna-Index-values b percentage of stygobiotic species c Individuals per sample (one outlier omitted each in the groups GWrainfed, GWswb and Hyporheic) and d similarity [%] of faunistic communities in scaled ecological groups. Thresholds for alimony are marked by dashed lines (after Hahn 2006) in Fig. 4a and for faunistic stability (according to Gutjahr et al. 2013a) in Fig. 4d; n = number of samples, box = Interquartile range, vertical black bar = median; whiskers showing the lowest and highest non-outlier; circles showing outliers and stars extreme outliers.
Figure 1 from: Gutjahr S, Schmidt S, Hahn H (2014) A proposal for a groundwater habitat classification at local scale. Subterranean Biology 14: 25-49. https://doi.org/10.3897/subtbiol.14.5429
Figure 1 - Map of the study area (from Hahn 2006, modified). All sites were equipped with 4–5 trans-sectional groundwater wells. Boxes: The respective natural regions [Pfälzerwald Mountains = Central Uplands; Haardtrand and the Upper Rhine Plateau = South-Western Uplands (according to Stein et al. 2012)]. Abbreviations on overview map: A = Austria, B = Belgium, CH = Switzerland, CZ = Czech Republic, D = Germany, DK = Denmark, F = France, L = Luxembourg, NL = Netherlands, PL = Poland.
Figure 3 from: Gutjahr S, Schmidt S, Hahn H (2014) A proposal for a groundwater habitat classification at local scale. Subterranean Biology 14: 25-49. https://doi.org/10.3897/subtbiol.14.5429
Figure 3 - Standard deviations of environmental factors for each of the ecological groups. a Temperature [I =Stressed, II = GWstable, III = GWrainfed (recharged by precipitation), IV = GWswb (surface water body-recharged), V = Hyporheic] b DO-concentration, and c) detritus contents (estimated). Box = Interquartile range, vertical black bar = median; whiskers showing the lowest and highest non-outlier. Circles showing outliers and stars extreme outliers.
Figure 2 from: Gutjahr S, Schmidt S, Hahn H (2014) A proposal for a groundwater habitat classification at local scale. Subterranean Biology 14: 25-49. https://doi.org/10.3897/subtbiol.14.5429
Figure 2 - MDS (Multi-dimensional scaling) ordination of invertebrate assemblages of each trap (faunal data aggregated by mean for traps having 13–15 samplings). Vectors show physical and chemical parameters of groundwater explaining the distribution of traps within the MDS best (Fe = Total dissolved iron [mg l-1]). Naming of the traps in accordance with Table 1.
Figure 2 from: Tanaka H, Kondo T (2015) Description of a new soft scale insect of the genus Pulvinaria Targioni Tozzetti (Hemiptera, Coccoidea, Coccidae) from Bogota, Colombia. ZooKeys 484: 111-120. https://doi.org/10.3897/zookeys.484.9280
Figure 2 - Pulvinaria caballeroramosae Tanaka & Kondo, sp. n., adult female. ANT antenna AP anal plates DMD dorsal microduct DS dorsal seta LG leg MS marginal seta MP multilocular pores POP preopercular pores SP simple pore SDP spiracular pores SSP stigmatic spines VMD ventral microduct VTD ventral tubular ducts of types I–III. Scales: 200 µm for ANT, LG; 100 µm for AP; 50 µm for MS, SSP; 10 µm for others.
Figure 1 from: Tanaka H, Kondo T (2015) Description of a new soft scale insect of the genus Pulvinaria Targioni Tozzetti (Hemiptera, Coccoidea, Coccidae) from Bogota, Colombia. ZooKeys 484: 111-120. https://doi.org/10.3897/zookeys.484.9280
Figure 1 - Pulvinaria caballeroramosae Tanaka & Kondo, sp. n.: A Adult females, male puparia and an alate adult male (on lower surface of twig) B Infestation on twig C Conspicuous long ovisacs on trunk of a young tree, Ficus soatensis. Bogota, Colombia.
Figure 1 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877
Figure 1 - Distribution of waxplates in Ortheziola genus. Figure based on Ortheziola britannica Kozár & Miller, female; after Kozár 2004.
Figure 3 from: Klein A (2016) Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India. Research Ideas and Outcomes 2: e8834. https://doi.org/10.3897/rio.2.e8834
Figure 3 - Timeline This Gantt chart provides an estimate of the relative timing and duration for achieving each of the Aims.
Figure 1 from: Klein A (2016) Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India. Research Ideas and Outcomes 2: e8834. https://doi.org/10.3897/rio.2.e8834
Figure 1 - First pass at a VPDRS static graphic Figure 1 corresponds to the first self-administered MDS-UPDRS question: 1.7 SLEEP PROBLEMS. Over the past week, have you had trouble going to sleep at night or staying asleep through the night? Consider how rested you felt after waking up in the morning. 0: Normal: No problems. 1: Slight: Sleep problems are present but usually do not cause trouble getting a full night of sleep. 2: Mild: Sleep problems usually cause some difficulties getting a full night of sleep. 3: Moderate: Sleep problems cause a lot of difficulties getting a full night of sleep, but I still usually sleep for more than half the night. 4: Severe: I usually do not sleep for most of the night."
Figure 2 from: Klein A (2016) Visual Parkinson's Disease Rating Scale: A Universal Iconic Questionnaire for Epidemiological Studies in India. Research Ideas and Outcomes 2: e8834. https://doi.org/10.3897/rio.2.e8834
Figure 2 - Prototype for the mobile phone app This screen shows a pre-release version of Node, which will support the VPDRS/UPDRS modules. Here we present a means by which a person administering a questionnaire can securely log into and manipulate patient information locally and through cloud services and lastly an example clinician-administered UPDRS question.
Figure 3 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 3 - Detailed figure of Gruta Helictites showing different land uses within the 50, 100 and 250 m buffers.
Figure 2 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 2 - Study area location, sampling design used in sampled caves at "Parque Estadual do Sumidouro", and the Buffers of 50m, 100m, and 250m for analyzing the effect of spatial scale on the explanatory power of environmental variables in the cave invertebrate communities.
Figure 1 from: Pellegrini TG, Sales LP, Aguiar P, Ferreira RL (2016) Linking spatial scale dependence of land-use descriptors and invertebrate cave community composition. Subterranean Biology 18: 17-38. https://doi.org/10.3897/subtbiol.18.8335
Figure 1 - Spatial characterization of landscape at "Parque Estadual do Sumidouro". Different colors represent distinct vegetation cover or land-use types. The numbers indicate the sampled caves, indicated by name. Legend: 1 Gruta Ninho de Pérolas 2 Gruta Macaco das Cavernas 3 Lapa da Várzea 4 Gruta do Grilão 5 Gruta Helictites 6 Lapa das Pacas 7 Gruta do Sumidouro 8 Gruta Lagoa Seca 9 Gruta do Feneme 10 Gruta do Lixo.
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.