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Figure 2 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan
Figure 2. Gender and age character (age limit is <30>40 year) of peoples interviewed in the study area.
Figure 3 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 3. Influence of MLE and MC on bolls per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 2 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 2. Influence of MLE and MC on flowers per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 1 in Exogenous application of bio-stimulant and growth retardant improved the productivity of cotton cultivars under different planting arrangement
Figure 1. Influence of MLE and MC on squares per plant of cotton genotypes cultivated under different planting arrangement in Multan (a) and Shujabad (b).
Figure 10 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 10. Nucleotide sequence alignment of the ITS (ITS1, 5.8S rDNA and ITS4) region of the C. sphaerospermum isolate 10 and the other isolates already recorded in NCBI.
Figure 8 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 8. Nucleotide sequence alignment of the ITS (ITS1, 5.8S rDNA and ITS4) region of the C. sphaerospermum isolate 9 and the other isolates already recorded in NCBI.
Figure 5. A phylogenetic tree was generated using the neighbor-joining method which shows the genetic relationship between C. sphaerospermum 2 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 5. A phylogenetic tree was generated using the neighbor-joining method which shows the genetic relationship between C. sphaerospermum 2 (as indicated in red circle) and the other C. sphaerospermum isolates deposited in GenBank (NCBI)
Figure 3. A in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 3. A phylogenetic tree constructed by the neighbor-joining method depending on a comparison of the nucleotide sequences obtained from the C. sphaerospermum isolates (1-13).
Figure 2 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 2. The similarity and difference in the nucleotide sequences of the C. sphaerospermum isolates (1-13) identified in the present study. Similar nucleotides are stated in dots. Numbers given on the right side of the figure represent the nucleotide sequences obtained from the C. sphaerospermum isolates.
Figure 1. 1 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 1. 1% Agarose gel electrophoresis of PCR products amplified using the primer pair ITS1 and ITS4 from the C. sphaerospermum isolates (1-13) obtained from tomato plant residues collected from different regions of Najaf and Karbala provinces. M: 1Kbp DNA Ladder (Promega, USA).
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.
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.
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.
Figure 7 in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 7. Expansion of the 10.0 to 13.0 ppm region of hexanic extract 1H-NMR spectra (top to bottom): (a) Branch hexanic extract; (b) Leaf hexanic extract; (c) Hexanic extract from in vitro seedlings.
Figure 6 in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 6. Expansion of the region from 5.0 to 5.5 and 6.0 to 8.0 ppm of the hexanic extracts 1H-NMR spectra (top to bottom): (a) Branch hexanic extract; (b) Leaf hexanic extract; (c) Hexanic extract from in vitro seedlings.
Figure 5. 1H in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 5. 1H-RMN spectra for hexanic extracts (top to bottom): (a) Branch hexanic extract; (b) Leaf hexanic extract; (c) Hexanic extract from in vitro seedlings.
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.
Figure 3 in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 3. Growth of Lactuca sativa seedlings under the influence of dry and fresh Vismia japurensis leaves (sandwich tests). Significant results are followed by: **p <0.01; ***p <0.001; ****p <0.0001.
Figure 4 in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 4. Seedlings of Lactuca sativa showing the influence of hexanic extracts: (A) L. sativa in contact to leaf hexanic extract and compared to control; (B) General view of L. sativa in contact with hexanic extract from in vitro seedlings and compared to control; (C) Several L. sativa plants in contact with hexanic extract from in vitro seedlings and compared to control; (D) One L. sativa plant in contact with hexanic extract from in vitro seedlings and compared to control; (E) Plant showed in (D) magnified view (2.5x).
Figure 2 in Phytotoxicity of plant extracts of Vismia japurensis cultivated in vivo and in vitro
Figure 2. Lactuca sativa seedling growth when in contact to different methanolic extracts. Significant results are followed by: ****p <0.0001.
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.