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Figure 4 in Morphology, molecular phylogeny and biomass evaluation of Desmodesmus abundans (Scenedesmaceae-Chlorophyceae) from Brazil

Figure 4. Phylogenetic analysis of Desmodesmus species by Bayesian inference using ITS sequences. Posteriori probability values are left from nodes.

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Figure 2 in Morphology, molecular phylogeny and biomass evaluation of Desmodesmus abundans (Scenedesmaceae-Chlorophyceae) from Brazil

Figure 2. Lipids and carbohydrate production of D. abundans LGMM0013 andT.obliquus LGMM0001 under autotrophic conditions after 22 days. Bars indicate standard deviation.

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Figure 1 in Morphology, molecular phylogeny and biomass evaluation of Desmodesmus abundans (Scenedesmaceae-Chlorophyceae) from Brazil

Figure 1. Growth comparison in autotrophic conditions between D. abundans LGMM0013 and T. obliquus LGMM0001 by dry biomass production. Bars indicate standard deviation.

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Figure 5 in Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

Figure 5. Effect of salinity stress on stomatal conductance (a), and transpiration rate (b) of chickpea genotypes: salinity levels=S0: 0 mM NaCl, S1: 50 mM NaCl, S2:100 mM NaCl, S3: 150 mM NaCl. Genotypes= KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, CM-98. Error bar shows standard error.

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Figure 2 in Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

Figure 2. Effect of salinity stress yield (a), and R:S (b) of chickpea genotypes: salinity levels=S0: 0 mM NaCl, S1: 50 mM NaCl, S2:100 mM NaCl, S3: 150 mM NaCl. Genotypes= KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, CM-98. Data labels represnts the level of significance for multiple comparison between all combination of treatments @ 0.05 probability level. Error bar shows standard error.

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Figure 4 in Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

Figure 4. Effect of salinity stress on crude protein content (a), Reducing sugars (b) and total carbohydrates (c) of chickpea genotypes: salinity levels=S0: 0 mM NaCl, S1: 50 mM NaCl, S2:100 mM NaCl, S3: 150 mM NaCl. Genotypes= KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, CM-98. Data labels represnts the level of significance for multiple comparison between all combination of treatments @ 0.05 probability level. Error bar shows standard error.

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Figure 3 in Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

Figure 3. Effect of salinity stress on proline content (a), lipid peroxidation (b) and H 2 O 2 (c) of chickpea genotypes: salinity levels=S0: 0 mM NaCl, S1: 50 mM NaCl, S2:100 mM NaCl, S3: 150 mM NaCl. Genotypes= KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, CM-98. Data labels represnts the level of significance for multiple comparison between all combination of treatments @ 0.05 probability level. Error bar shows standard error.

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Figure 1 in Biochemical, physiological, and growth evaluation of different chickpea genotypes under varying salinity regimes

Figure 1. Effect of salinity stress on SL (a) and RL (b) of chickpea genotypes: salinity levels=S0: 0 mM NaCl, S1: 50 mM NaCl, S2:100 mM NaCl, S3: 150 mM NaCl. Genotypes= KK-2, Bhakkar-2011, Bittle-98, Punjab-2008, CM-98. Data labels represnts the level of significance for multiple comparison between all combination of treatments @ 0.05 probability level. Error bar shows standard error.

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Figure 1 in Phytochemical screening and evaluation of antioxidant, total phenolic and flavonoid contents in various weed plants associated with wheat crops

Figure 1. DPPH Assay for Convolvulus arvensis, Chenopodium murale, Avena fatua, Phalaris minor extracts in different solvents.

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Figure 3. H 2O2 in Phytochemical screening and evaluation of antioxidant, total phenolic and flavonoid contents in various weed plants associated with wheat crops

Figure 3. H 2O2 Scavenging assay for Convolvulus arvensis, Chenopodium murale, Avena fatua, Phalaris minor extracts in different solvents.

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Figure 9 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus

Figure 9. ELISA plate readings (O.D at 405nm) of leaf samples of transgenic lines (T1-T8) and control plants after 15 dpi.

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Figure 7 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus

Figure 7. PCR Products of the hpt gene from T0 transgenic plants. Lane 1-9 are transgenic. Lane 10, +ve control. Lane 11, control (untransformed) plant.

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Figure 6. DNA bands from T0 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus

Figure 6. DNA bands from T0 transgenic and Agro-infilterated plants. Lane 1-10, transgenic plants. Lane 11-13, agro-infilterated plants.

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Figure 3 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus

Figure 3. Symptoms development on propagative host plants after mechanical inoculation with ChiVMV isolate ATIPK. (a) N. tabacum showing mosaic, mottling and vein clearing (b) C. annum (cv. Loungi) displays the symptoms of mottling, mosaic, leaf deformation and vein clearing.

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Figure 2 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus

Figure 2. Symptoms of ChiVMV on chilli leaves collected from Islamabad. (a) Shows mottling and severe vein clearing and distortion. (b) Shows reduced leaf size with mottling and distortion.

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Figure 6 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

Figure 6. Analysis of principal coordinates of sampling sectors according to the distribution of bacterial families reported at 40% contribution according to SIMPER analysis.

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Figure 2 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

Figure 2. Good quality DNA samples from bacterial populations divided by sampling time factor in soils with pre-sowing levels (A), Lepidium meyenii hypocotyl development (B) and post-harvest (C).

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Figure 7 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

Figure 7. Dendogram of bacterial families at 40% contribution according to SIMPER analysis in fields disturbed by Lepidium meyenii culture under the effect of the two factors under study (use pressure and sampling period).

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Figure 8 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

Figure 8. Analysis of the behavior of the clusters of bacterial families significantly differentiated (p<0.05) according to the SIMPROF analysis at a 40% contribution of the total of families registered in soils under the factors use pressure and sampling period.

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Figure 3 in Bacterial diversity in high Andean grassland soils disturbed with Lepidium meyenii crops evaluated by metagenomics

Figure 3. Band migration in bacterial populations according to the V3 - V4 region of the 16S bacterial rRNA genes, for the 12 samples divided by the sampling time factor in soils with pre-sowing levels (A),Lepidium meyenii hypocotyl development (B) and post-harvest (C).

opencc-by-4.0Dec 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.