Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
9
datasets available to search
ShareScore release 0.9.0
Dataset results
9 results for “Musa spp.”
StArt_Protocol - Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review
<p>Protocolo do StArt da revisão sistemática Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review</p>
Genetic resistance of Musa spp. to phytoparasitic nematode species: a systematic review
<p><span>This article is a systematic review of studies carried out over the last thirteen years on the </span><span>existing banana breeding methods to aid the management and control of nematodes in banana and plantain crops.</span></p>
Genetic resistance of Musa spp. to phytoparasitic nematode species: a systematic review
<p><span>This article is a systematic review of studies carried out over the last thirteen years on the </span><span>existing banana breeding methods to aid the management and control of nematodes in banana and plantain crops.</span></p>
PRISMA 2009 Checklist - Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review
<p>PRISMA 2009 Checklist da revisão sistemática Phytoparasitic nematodes of Musa spp. with emphasis on sources of genetic resistance: a systematic review</p>
Fig. 4 in Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp.
Fig. 4. PCA analysis of leaf (A), peel (B) and pulp (C) of different Musa varieties. Data included metabolites identified by UPLC and LC-MS for all tissues and additional metabolites analysed by GC-MS for peel and pulp. PCA analysis of peel (B) is displayed in two plots: with all varieties (top plot) and without the outliers Petite Naine (ITC0654), Mbwazirume (ITC0084) and Blue Java (ITC0361) (bottom plot). Varieties are marked by genome group, see legend.
Fig. 1 in Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp.
Fig. 1. PCA analysis of leaf 1 to 9 comparing Mbi egome (stars) and Fougamou (circles) at three plant growth stages. The three plant growth stages comprised preflowering, flowering and harvest stage (colours displayed in legend). Data includes 76 metabolites analysed by UPLC-DAD and GC-MS (polar extracts). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp.
Fig. 3. Metabolites detected by three analytical platforms in leaf, peel and pulp of 18 Musa varieties. The analytical platforms included LC-MS, GC-MS and UPLCDAD. Metabolites are coloured by highest expression in a specific tissue (leaf-green, peel-orange and pulp-yellow) and no difference between tissue types (grey). Metabolites not detected with any analytical platform show no colouration. Roman numbers indicate isomeric metabolites: chlorogenic acid and violaxanthin (geometric isomers) and rutin and kaempferol-glucoside and –rutinoside (constitutional isomers of sugars). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp.
Fig. 2. Heatmap highlighting significant differences of Fougamou (ABB) compared to Mbi egome (AAB). Colours show metabolite ratios for leaf, peel and pulp. Metabolites not detected in either variety are marked as ND. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Assessment of metabolic variability and diversity present in leaf, peel and pulp tissue of diploid and triploid Musa spp.
Fig. 5. Heatmap of metabolites detected in pulp tissue. Metabolites and varieties were clustered (dendrograms) according to their similarity. Abundance of metabolites is indicated as high to low by a red to blue scale (see legend). Genome groups are displayed below the variety names. A more detailed version is available under Supplementary Fig. S5. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
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.