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113 results for “field distribution”
FIGURES 32–39. Odontidium himalongissimum. SEM. Figs 32–34. Valve views. Fig. 35. Apical pore field and rimoportula. Figs 36–37 in The genus Odontidium (Bacillariophyta) in the Himalaya-a preliminary account of some taxa and their distribution
FIGURES 32–39. Odontidium himalongissimum. SEM. Figs 32–34. Valve views. Fig. 35. Apical pore field and rimoportula. Figs 36–37. Internal view of valves. Figs 38–39. Frustules in girdle view. NMW.C.2007.006.P67: tributary to the Pindar River, Kumaon, India. Scale bars = 5 μm (Figs 32–34), 4 μm (Figs 36, 38, 39), 2 μm (Figs 35, 37).
FIGURE 3. A in Recognizing taxonomic units in the field-The case of the crickets Oecanthus dulcisonans Gorochov 1993, and O. pellucens (Scopoli, 1763) (Orthoptera: Gryllidae): implications for their distribution and conservation in Southern Europe
FIGURE 3. A, ventral view of Oecan- FIGURE 4. Oscillograms and sonograms of Oecanthus dulcisothus pellucens (p) and O. dulcisonans nans (A,C,E,G,I) and O. pellucens (B,D,F,H,J). AB, oscillograms (d). B, details of the sternum of both of 10 seconds of calling song at 21ºC in identical housing condispecies (p) and (d). tions. CD, one second oscillogram including a full echeme of O.
FIGURE 1 in Recognizing taxonomic units in the field-The case of the crickets Oecanthus dulcisonans Gorochov 1993, and O. pellucens (Scopoli, 1763) (Orthoptera: Gryllidae): implications for their distribution and conservation in Southern Europe
FIGURE 1. Epiphallus of Oecanthus dulcisonans FIGURE 2. Differences in tegmen length between from Almería, Spain (da, above; db, below) and O. pel- O. dulcisonans and O. pellucens. Line in box reprelucens from Toledo, Spain (p, above; pb, below). senting the median, extreme of the boxes, quartile
FIGURE. Euphorbia chamaesyce: A) individual (Tuscany, Siena province, Chiusi, arable fields near the lake), B) individual (Tuscany, Arezzo province, Pieve Santo Stefano, gravel road along shores of Montedoglio Lake), C) detail of cyathium and capsule (hairy form), D) detail of tip and capsules (intermediate hairiness form), E) detail of cyathium and capsule (glabrous form). in Synopsis of Euphorbia section Anisophyllum (Euphorbiaceae) in Italy, with an insight on variation of distribution over time in Tuscany
FIGURE. Euphorbia chamaesyce: A) individual (Tuscany, Siena province, Chiusi, arable fields near the lake), B) individual (Tuscany, Arezzo province, Pieve Santo Stefano, gravel road along shores of Montedoglio Lake), C) detail of cyathium and capsule (hairy form), D) detail of tip and capsules (intermediate hairiness form), E) detail of cyathium and capsule (glabrous form).
Uncovering Stress Fields and Defects Distributions in Graphene Using Deep Neural Networks
<p>The trained neural networks, complete data set, and MATLAB script used to generate molecular dynamics simulation files are available here.</p>
A field-validated ensemble species distribution model of Eriogonum pelinophilum, an endangered subshrub in Colorado, USA
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Data from: Field measurements give biased estimates of functional response parameters, but help explain foraging distributions
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Data from: A metagenetics approach to determine the diversity and distribution of cyst nematodes at the level of the country, the field and the individual
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Supplementary material 1 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415
Tables S1–S4
Supplementary material 2 from: Inoue N, Sato M, Furuichi N, Imaizumi T, Ushio M (2022) The relationship between eDNA density distribution and current fields around an artificial reef in the waters of Tateyama Bay, Japan. Metabarcoding and Metagenomics 6: e87415. https://doi.org/10.3897/mbmg.6.87415
Figures S1–S4
Dataset on: Incidence and geographical distribution of cereal cyst nematode (CCN, Heterodera spp.) in winter wheat fields in Algeria
<p>Cereal cyst nematodes (CCN, <em>Heterodera</em> spp.) are the most damaging plant-parasitic nematode species on wheat, causing severe economic loss in global wheat production. In summer 2015, we analyzed samples collected from 22 wheat fields in Algeria using the Fenwick can technique. The study revealed that 54.55 % of wheat fields were infested with cereal cyst nematodes. The species was observed in several locations in the northern part of Algeria but not in the southern desert area. Population densities of CCNs in soil varied between the regions at an infestation rate of between 0.6 ± 0.54 and 86.6 ± 19.96 cysts per 500 g of dried soil. Furthermore, we found an average of 56.33±15.18 and 364.70 ± 81.93 second-stage juveniles and eggs/cyst. The infestation was most severe in cereal fields in Draa Semar and Djendel with 86.6 ± 19.96 cyst/500g of soil and 57.4±17.55 cysts/500g of soil, respectively. Infestation was lowest in fields in Ras Elouad, Sidi Mbarek and Sedraia with 0.6 ± 0.54 cysts/500g of soil; 1.6 ± 1.67 cysts/500g of soil and 2.4 ± 1.67 cysts/500g of soil, respectively. <em>Heterodera</em> spp. was distributed throughout the cereal growing province in Algeria and could cause economic loss in these regions.</p>
Electric field distribution of the discharge gap at the open end before plasma breakdown.
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Fig. 4 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 4. Our first picture of Aradus brenskei, Lede, 07.V.2020. © Brecht Verkempinck.
Fig. 6. Screening the study area for habitat structures, 6.VI.2020 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 6. Screening the study area for habitat structures, 6.VI.2020. © Brecht Verkempinck.
Fig. 7 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 7. Post-sunset inspection of habitat structures, Lede, 17.VIII.2020. © Robin Van Heghe.
Fig. 14 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 14. Degree of decay of the colonised structures.
Fig. 21. Feeding from bark crevices, location 24 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 21. Feeding from bark crevices, location 24, Lede, 7.VII.2020. © Brecht Verkempinck.
Fig. 13 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 13. Deadwood volume (diameter) of the colonised structures.
Fig. 12 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 12. Deadwood type of the colonised structures.
Fig. 25 in The northernmost discovery of Aradus brenskei (Reuter, 1884) (Heteroptera: Aradidae). Considerations on the local distribution and the habitat preferences of this new Belgian species following a nine-months field survey
Fig. 25. Destruction of colonised structures, Lede, 18.XI.2020. © Brecht Verkempinck.
ScienceDex guides
Understand access before you commit
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.