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ShareScore release 0.9.0
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13 results for “Arachis”
Herbarium specimen image of Arachis hoehnei Krapov. & W.C.Greg., part of the collection of Royal Botanic Gardens, Kew
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
A Deep Learning Dataset for Groundnut Plant ARACHIS HYPOGAEA
<div> <p>The images of Groundnut (Arachis Hypogaea) were taken on an outdoor farmland in July 2024 in Bauchi, Nigeria. The images were taken 3 weeks after planting. The farmland has not been treated with any fertilizers and the plants also have not been artificially fertilized. Images captured the canopy of the plants.</p> <p><strong>File Description</strong></p> <p>The file contains a <strong>.zip </strong>file "Groundnut Plant" containing 953 images and another 59 images in the root folder for preview.</p> <p> </p> </div>
Data from: Genome sequencing and analysis of the peanut b-genome progenitor (Arachis ipaensis)
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Transcriptomic analysis reveals genetic factors underlying impaired symbiotic nitrogen fixation in lines derived from crosses between cultivated peanut (Arachis hypogaea L.) and its wild ancestors
GEO Series GSE289879. Arachis hypogaea. 27 samples. Type: Expression profiling by high throughput sequencing.
Identification of rapidly-induced genes in the peanut (Arachis hypogaea) response to water deficit and abscisic acid
GEO Series GSE56439. Arachis hypogaea. 3 samples. Type: Expression profiling by high throughput sequencing.
Symbiotic Transcriptome profiling of candidate genes in model legume Arachis hypogaea using Next Generation Sequencing Technology (NGS)
GEO Series GSE98997. Arachis hypogaea. 18 samples. Type: Expression profiling by high throughput sequencing.
Data from: Effects of rhizoma peanut cultivars (Arachis glabrata Benth.) on the soil bacterial diversity and predicted function in nitrogen fixation
There is a growing awareness of the importance of soil microorganisms in agricultural management practices. Currently, much less is known about whether different crop cultivar has an effect on the taxonomic structure and diversity, and specific functions of soil bacterial communities. Here we examined the changes of the diversity and composition and enzyme-encoding nitrogenase genes in a long-term field experiment with seven different rhizoma peanut cultivars in southeastern USA, coupling high-throughput 16S rRNA gene sequencing and the sequence-based function prediction with Tax4Fun. Of the 32 phyla detected (Proteobacteria class), 13 were dominant: Acidobacteria, Alphaproteobacteria, Actinobacteria, Betaproteobacteria, Bacteroidetes, Verrucomicrobia, Gammaproteobacteria, Deltaproteobacteria, Gemmatimonadetes, Firmicutes, Nitrospirae, Chloroflexi and Planctomycetes (relative abundance >1%). We found no evidence that the diversity and composition of bacterial communities was significantly different among different cultivars, but the abundance of some dominant bacterial groups that have N-fixation potentials (at broad or fine taxonomic level) and predicted abundances of some enzyme-encoding nitrogenase genes showed significant across-cultivar differences. The nitrogenase genes were notably abundant in Florigraze and Latitude soils while remarkably lower in Arbook and UF_TITO soils when compared with other cultivars, indicating different nitrogen fixation potentials among different cultivars. The findings also suggest that the abundance of certain bacterial taxa and the specific function bacteria perform in ecosystems can have an inherent association. Our study is helpful to understand how microbiological responses and feedback to different plant genotypes through the variation in structure and function of their communities in the rhizosphere.
Data from: Effects of rhizoma peanut cultivars (Arachis glabrata Benth.) on the soil bacterial diversity and predicted function in nitrogen fixation
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Gene expression profiling of resistance genes to salt stress in roots of peanut (Arachis hypogaea L.)
GEO Series GSE75625. Arachis hypogaea. 9 samples. Type: Expression profiling by array.
Comparison of gene expression profiles in cultivated peanut (Arachis hypogaea L.) under strong artificial selection
GEO Series GSE30128. Arachis hypogaea. 20 samples. Type: Expression profiling by array.
Gene expression profiling of resistance genes to low temperature in leaves of peanut (Arachis hypogaea L.)
GEO Series GSE53122. Arachis hypogaea. 6 samples. Type: Expression profiling by array.
Small RNA and Degradome Deep Sequencing Reveals the roles of microRNAs in Seed Expansion in Peanut (Arachis hypogaea L.)
GEO Series GSE110195. Arachis hypogaea. 14 samples. Type: Other; Non-coding RNA profiling by high throughput sequencing.
Developmental Analysis of compound leaf development in Arachis hypogaea
GEO Series GSE180915. Arachis hypogaea. 15 samples. Type: Expression profiling by high throughput sequencing.
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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.
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.