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108 results for “crop pest”

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dryad44/100

Data from: Deciphering host-parasitoid interactions and parasitism rates of crop pests using DNA metabarcoding

Open the record for dataset details and reuse information.

publicMar 2019View details →
zenodo40/100

Рис. 1. Àинамика посевных пΛощаΔей сои в Приморском крае в 1996–2018 гг. (по Δанным Àепартамента сеΛьского хозяйства и проΔовоΛьствия Приморского края) Fig. 1. The dynamic of soybean crop area at Primorsky Region in 1996–2018 (based on data from the Department of Agriculture and provision of the Primorsky Region) in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions

Рис. 1. Àинамика посевных пΛощаΔей сои в Приморском крае в 1996–2018 гг. (по Δанным Àепартамента сеΛьского хозяйства и проΔовоΛьствия Приморского края) Fig. 1. The dynamic of soybean crop area at Primorsky Region in 1996–2018 (based on data from the Department of Agriculture and provision of the Primorsky Region)

opencc-by-4.0Feb 2021View details →
zenodo40/100

Figure 4 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan

Figure 4. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) with different surrounding habitats (sugarcane + sesame, monoculture, sesame) during cropping season of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 3 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan

Figure 3. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) at different crop developmental stages (crop phenology) of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 2 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan

Figure 2. Means (±SE) number of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) during cropping season of cotton from June 20 to September 18, 2018 at Layyah, Punjab, Pakistan.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 1 in Plant age, crop stage and surrounding habitats: their impact on sucking pests and predators complex in cotton (Gossypium hirsutum L.) field plots in arid climate at district Layyah, Punjab, Pakistan

Figure 1. Percent numbers of sucking insect pests (jassid, thrips, whitefly) and predators (green lacewing, spider) in cotton field plots at three locations (five replications) during 2018 at Layyah, Punjab, Pakistan.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Fig. 2 in Crop diversification for sustainable insect pest management in eggplant (Solanales: Solanaceae)

Fig. 2. Total ion current (TIC) mode chromatographic plot of marigold leaf volatiles sampled using the thermal desorption (TD) technique.

opencc-by-4.0Mar 2015View details →
zenodo40/100

Fig. 3 in Crop diversification for sustainable insect pest management in eggplant (Solanales: Solanaceae)

Fig. 3. Total ion current (TIC) mode chromatographic plot of mint leaf volatiles sampled using the thermal desorption (TD) technique.

opencc-by-4.0Mar 2015View details →
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Fig. 12 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 12. Enlarged labial palp (lef) showing sensillum chaeticum (C) and sensillum styloconicum (S); and enlarged apical maxillary palp (right) showing apical sensilla basiconica (A1, A2, A3), medial sensilla basiconica (M1, M2, M3), and lateral sensilla basiconica (L1, L2).

opencc-by-4.0Jun 2017View details →
zenodo40/100

Fig. 11 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 11. Apical maxillary palp showing apical sensilla basiconica (A1, A2, A3), medial sensilla basiconica (M1, M2, M3), and lateral sensilla basiconica (L1, L2) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →
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Fig. 8 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 8. Labrum (L) showing distribution and number of sensilla chaetica (C1–C15) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →
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Fig. 7 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 7. Ventral and lateral view of larval mouthparts showing labrum (L), mandible (M), maxillae (MX), labium (LI), antennae (A), stemma (ST), and long tactile setae (LTS) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →
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Fig. 4 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 4. SEM images of larval antennae of Plutella xylostella at different instars: A) 1st instar, B) 2nd instar, C) 3rd instar, and D) 4th instar.

opencc-by-4.0Jun 2017View details →
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Fig. 15 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 15. Multiple sequence alignment of the partialsequence of the Or83b gene in Spodoptera litura, Chilo partellus, Plutella xylostella, and Maruca vitrata with the reference sequence of Spodoptera litura Or83b (Accession No. JQ811935) using ClustalW sofware. Grey shades represent completely conserved bases. Primer sequences used for amplification of the partial Or83b gene are underlined.

opencc-by-4.0Jun 2017View details →
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Fig. 1 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 1. Dorsal surface of the larval head showing short tactile setae (STS) and long tactile setae (LTS) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →
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Fig. 6 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 6. Antenna is segmented (I–III), showing the presence of sensilla styloconica (S1, S2), sensilla basiconica (B1, B2, B3), and sensillum chaeticum (C) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →
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Fig. 3 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 3. SEM images of larval antennae of Chilo partellus at different instars: A) 1st instar, B) 2nd instar, C) 3rd instar, D) 4th instar, E) 5th instar, and F) 6th instar.

opencc-by-4.0Jun 2017View details →
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Fig. 5 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 5. SEM images of larval antennae of Maruca vitrata at different instars: A) 1st instar, B) 2nd instar, C) 3rd instar, D) 4th instar, and E) 5th instar.

opencc-by-4.0Jun 2017View details →
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Fig. 2 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 2. SEM images of larval antennae of Spodoptera litura at different instars: A) 1st instar, B) 2nd instar, C) 3rd instar, D) 4th instar, and E) 5th instar.

opencc-by-4.0Jun 2017View details →
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Fig. 10 in Comparison of sensory structures present on larval antennae and mouthparts of lepidopteran crop pests

Fig. 10. Enlarged maxillae (MX) showing maxillary palp (MP), galea (G), stipes (ST), and cardo (CA), with galea showing the distribution of sensilla styloconica (S1–S4) and sensilla chaetica (C) in 4 species of Lepidoptera: A) Spodoptera litura, B) Chilo partellus, C) Plutella xylostella, and D) Maruca vitrata.

opencc-by-4.0Jun 2017View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record