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.
74
datasets available to search
ShareScore release 0.9.0
Dataset results
74 results for “plant mapping”
Quantitative RNA pseudouridine maps reveal multi-layered translation control through plant rRNA, tRNA and mRNA pseudouridylation (maize)
GEO Series GSE262376. Zea mays. 4 samples. Type: Expression profiling by high throughput sequencing; Other.
High Throughput Plant Activation Domain Identification and Mapping
GEO Series GSE234215. Saccharomyces cerevisiae. 164 samples. Type: Other.
Quantitative RNA pseudouridine maps reveal multi-layered translation control through plant rRNA, tRNA and mRNA pseudouridylation (Arabidopsis)
GEO Series GSE262375. Arabidopsis thaliana. 72 samples. Type: Expression profiling by high throughput sequencing; Other.
MAP kinase-dependent cell-to-cell movement drives plant tissue invasion by the rice blast fungus
GEO Series GSE106845. Pyricularia oryzae. 6 samples. Type: Expression profiling by high throughput sequencing.
Quantitative RNA pseudouridine maps reveal multi-layered translation control through plant rRNA, tRNA and mRNA pseudouridylation in arabidopsis total RNA [BID-seq]
GEO Series GSE277198. Arabidopsis thaliana. 36 samples. Type: Other.
Data from: Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits
Plant architecture, phenology and yield components of cultivated plants have repeatedly been shaped by selection to meet human needs and adaptation to different environments. Here we assessed the genetic architecture of 24 correlated maize traits that interact during plant cycle. Overall, 336 lines were phenotyped in a network of 9 trials and genotyped with 50K single-nucleotide polymorphisms. Phenology was the main factor of differentiation between genetic groups. Then yield components distinguished dents from lower yielding genetic groups. However, most of trait variation occurred within group and we observed similar overall and within group correlations, suggesting a major effect of pleiotropy and/or linkage. We found 34 quantitative trait loci (QTLs) for individual traits and six for trait combinations corresponding to PCA coordinates. Among them, only five were pleiotropic. We found a cluster of QTLs in a 5 Mb region around Tb1 associated with tiller number, ear row number and the first PCA axis, the latter being positively correlated to flowering time and negatively correlated to yield. Kn1 and ZmNIP1 were candidate genes for tillering, ZCN8 for leaf number and Rubisco Activase 1 for kernel weight. Experimental repeatabilities, numbers of QTLs and proportion of explained variation were higher for traits related to plant development such as tillering, leaf number and flowering time, than for traits affected by growth such as yield components. This suggests a simpler genetic determinism with larger individual QTL effects for the first category.
Global Natural and Planted Forests Mapping at Fine Spatial Resolution of 30 m
<p>The expansion of planted forests often encroaches upon natural forests, leading to numerous environmental and social problems. Mapping natural and planted forests is crucial for the monitoring, management, and conservation of these invaluable forest resources. However, global mapping of natural and planted forests at fine spatial resolution remains an unaddressed need. Here, we generated more than 70 million training samples from dense Landsat images and fed them to a random forest classifier (RF). Our dataset achieved an impressive overall accuracy of 85% when validated against reference data. (Note: </p> <p>(1) The data for artificial and natural forests is displayed on a single map as an RGB image, where green pixels represent natural forests, yellow pixels indicate artificial forests, and other pixels correspond to non-forest areas.</p> <p>(2) There was an error during the upload of some tiles (specifically, tiles 300 to 400) in the first version. This portion of the data has been supplemented on the same data platform: <a href="https://doi.org/10.5281/zenodo.13759567" target="_new" rel="noopener">https://doi.org/10.5281/zenodo.13759567</a>.</p> <p>(3) Our algorithm processes tiles that contain forested areas. Therefore, the nodata areas may correspond to regions with very small forest areas or no forest cover at all in tile.)</p>
Data from: Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits
Open the record for dataset details and reuse information.
Data from: QTL mapping of temperature sensitivity reveals candidate genes for thermal adaptation and growth morphology in the plant pathogenic fungus Zymoseptoria tritici
Open the record for dataset details and reuse information.
Mapping and molecular marker development for the BnaSBT gene controlling inflorescence and plant architectures in B. napus
GEO Series GSE293898. Brassica napus. 12 samples. Type: Expression profiling by high throughput sequencing.
RNA polymerase mapping in plants identifies enhancers enriched in causal variants
GEO Series GSE114758. Manihot esculenta; Zea mays. 2 samples. Type: Expression profiling by high throughput sequencing.
A comprehensive map of intron branchpoints and lariat RNAs in plants
GEO Series GSE117416. Arabidopsis thaliana. 8 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome and QTL mapping analyses identifying major QTL genes controlling glucosinolates contents between vegetable-type and oilseed-type Brassica rapa plants
GEO Series GSE213605. Brassica rapa. 12 samples. Type: Expression profiling by high throughput sequencing.
Geographical and host plant influences on transcriptional variation in Drosophila mojavensis: mapping gene expression differences in both sexes
GEO Series GSE78852. Drosophila mojavensis. 127 samples. Type: Expression profiling by array.
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.