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.
392
datasets available to search
ShareScore release 0.9.0
Dataset results
392 results for “Grape”
The Effect of Grape Seed Extract on Blood Pressure in People With Pre-Hypertension
ClinicalTrials.gov study NCT00979732. IPD Sharing: NO. Countries: 1. Publications: 2.
Muscadine Grape Extract to Improve Fatigue
ClinicalTrials.gov study NCT04495751. IPD Sharing: NO. Countries: 1. Publications: 1.
Chemistry-weather interacted model system GRAPES_Meso5.1/CUACE CW V1.0
Open the record for dataset details and reuse information.
Paninvasion severity assessment of a U.S. grape pest to disrupt the global wine market
Open the record for dataset details and reuse information.
Biodiversity effects on grape quality depend on variety and management intensity
Open the record for dataset details and reuse information.
Supplementary material 1 from: Biniari K, Daskalakis I, Bouza D, Stavrakaki M (2019) Comparative study of qualitative and quantitative characters of grape cultivar 'Mavrodafni' (Vitis vinifera L.) and 'Renio' grown in different regions of the Protected Designation of Origin Mavrodafni Patras. Viticulture Data Journal 1: e37852. https://doi.org/10.3897/vdj.1.e37852
<p>This is the raw dataset of the measurements performed on the samples collected from the two varieties from the different locations. There are three repetitions per measurement and no statistical analysis has been performed.</p>
Data from: The "Dr Jekyll and Mr Hyde fungus": noble rot versus gray mold symptoms of Botrytis cinerea on grapes
Many cryptic species have recently been discovered in fungi, especially in fungal plant pathogens. Cryptic fungal species co-occurring in sympatry may occupy slightly different ecological niches, for example infecting the same crop plant but specialized on different organs or having different phenologies. Identifying cryptic species in fungal pathogens of crops and determining their ecological specialization is therefore crucial for disease management. Here we addressed this question in the ascomycete Botrytis cinerea, the agent of grey mold on a wide range of plants. On grape, B. cinerea causes severe damages but is also responsible for noble rot used for processing sweet wines. We used microsatellite genotyping and clustering methods to elucidate whether isolates sampled on grey mold vs. noble rot symptoms in three French regions belong to genetically differentiated populations. The inferred population structure matched geography rather than the type of symptom. Noble rot symptoms therefore do not seem caused by a specific B. cinerea population but instead seem to depend essentially on microclimatic conditions, which has applied consequences for the production of sweet wines.
Data from: Landscape diversity and crop vigor influence biological control of the western grape leafhopper (E. elegantula Osborn) in vineyards
This study evaluated how the proportional area of natural habitat surrounding a vineyard (i.e. landscape diversity) worked in conjunction with crop vigor, cultivar and rootstock selection to influence biological control of the western grape leafhopper (Erythroneura elegantula Osborn). The key natural enemies of E. elegantula are Anagrus erythroneurae S. Trjapitzin & Chiappini and A. daanei Triapitsyn, both of which are likely impacted by changes in landscape diversity due to their reliance on non-crop habitat to successfully overwinter. Additionally, E. elegantula is sensitive to changes in host plant quality which may influence densities on specific cultivars, rootstocks and/or vines with increased vigor. From 2010–2013, data were collected on natural enemy and leafhopper densities, pest parasitism rates and vine vigor from multiple vineyards that represented a continuum of landscape diversity. Early in the season, vineyards in more diverse landscapes had higher Anagrus spp. densities and lower E. elegantula densities, which led to increased parasitism of E. elegantula. Although late season densities of E. elegantula tended to be lower in vineyards with higher early season parasitism rates and lower total petiole nitrogen content, they were also affected by rootstock and cultivar. While diverse landscapes can support higher natural enemy populations, which can lead to increased biological control, leafhopper densities also appear to be mediated by cultivar, rootstock and vine vigor.
Data from: A phylogenetic analysis of the grape genus (Vitis L.) reveals broad reticulation and concurrent diversification during neogene and quaternary climate change
Background: Grapes are one of the most economically important fruit crops. There are about 60 species in the genus Vitis. The phylogenetic relationships among these species are of keen interest for the conservation and use of this germplasm. We selected 309 accessions from 48 Vitis species,varieties, and outgroups, examined ~11 kb (~3.4 Mb total) of aligned nuclear DNA sequences from 27 unlinked genes in a phylogenetic context, and estimated divergence times based on fossil calibrations. Results: Vitis formed a strongly supported clade. There was substantial support for species and less for the higher-level groupings (series). As estimated from extant taxa, the crown age of Vitis was 28 Ma and the divergence of subgenera (Vitis and Muscadinia) occurred at ~18 Ma. Higher clades in subgenus Vitis diverged 16 -- 5 Ma with overlapping confidence intervals, and ongoing divergence formed extant species at 12 -- 1.3 Ma. Several species had species-specific SNPs. NeighborNet analysis showed extensive reticulation at the core of subgenus Vitis representing the deeper nodes, with extensive reticulation radiating outward. Fitch Parsimony identified North America as the origin of the most recent common ancestor of extant Vitis species. Conclusions: Phylogenetic patterns suggested origination of the genus in North America, fragmentation of an ancestral range during the Miocene, formation of extant species in the late Miocene-Pleistocene, and differentiation of species in the context of Pliocene-Quaternary tectonic and climatic change. Nuclear SNPs effectively resolved relationships at and below the species level in grapes and rectified several misclassifications of accessions in the repositories. Our results challenge current higher-level classifications, reveal the abundance of genetic diversity in the genus that is potentially available for crop improvement, and provide a valuable resource for species delineation, germplasm conservation and use.
FIGURE 1 in Phytoseiidae in European grape (Vitis vinifera L.): bio-ecological aspects and keys to species (Acari: Mesostigmata)
FIGURE 1. Relation between the number of surveys and the number of Phytoseiidae species reported in vineyards of each country.
Grape detection
<p>This dataset was created during the AI-SPRINT project</p> <p>Concerns grapes from the Cognac region</p> <p>The dataset includes 464 images. with approximate 7000 labled objects<br>Grapebunches are annotated in YOLOv8 andYOLOv5 format.</p> <p>The following pre-processing was applied to each image:<br>* Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 3 versions of each source image:<br>* 50% probability of horizontal flip<br>* Randomly crop between 0 and 20 percent of the image<br>* Random exposure adjustment of between -20 and +20 percent<br>* Random Gaussian blur of between 0 and 5 pixels<br>* Salt and pepper noise was applied to 3 percent of pixels</p>
Grape Disease Detection
<p><br>The dataset includes 75 images. and focuses on detecting general disease in wineplants.<br>Leaf-disease are annotated in YOLOv8 and YOLOv5 format.</p> <p>The following pre-processing was applied to each image:<br>* Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 3 versions of each source image:<br>* 50% probability of horizontal flip<br>* Randomly crop between 0 and 25 percent of the image<br>* Random brigthness adjustment of between -25 and +25 percent<br>* Random exposure adjustment of between -25 and +25 percent<br>* Random Gaussian blur of between 0 and 2.5 pixels<br>* Salt and pepper noise was applied to 2 percent of pixels</p>
End of century temperature and precipitation projections (SSP2-4.5 and SSP5-8.5) for 490 grape-growing regions
<p>Spreadsheet with data (mean maximum temperature, mean minimum temperature and precipitation) extracted from WorldClim 2.1 maps (https://www.worldclim.org/) for the location of each grape-growing region, for each month of the year, for the 5 time periods and the projections SSP2-4.5 and SSP5-8.5.</p> <p>This dataset supports the figures created for the review published in Journal of Experimental Botany entitled: </p> <p><strong><span>Toward understanding grapevine responses to climate change: a multistress and holistic approach.</span></strong></p> <p><span><a href="mailto:johannml@unav.es"><span><span>Johann Martínez</span></span></a><a href="mailto:johannml@unav.es"><span><span>-</span></span></a><a href="mailto:johannml@unav.es"><span><span>Lüscher</span></span></a></span><span>*<sup>1</sup>, José Tomás Matus<sup>2</sup>, Eric Gom</span><span>è<span>s<sup>3</sup>, Inmaculada Pascual<sup>1</sup></span></span></p> <p><sup><span>2 </span></sup><span>Institute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, 46980 Paterna, Valencia, Spain.</span></p> <p><sup><span>3 </span></sup><span>EGFV, Université de Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882 Villenave d’Ornon, France</span></p> <p><span>*Corresponding author’s email: </span><span><a href="mailto:johannml@unav.es"><span>johannml@unav.es</span></a></span></p> <p> </p> <p> </p>
Grape Data Exemplars
<p>Commonly referenced set of datasets. </p>
FIGURE 10 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 10. Tree obtained from Parsimony and Bayesian analysis of combined (ITS and trnL intron) data. The upper value in branches indicates parsimony bootstrap, bottom value Bayesian posterior probabilities.
FIGURE 9 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 9. SEM micrographs of pollen grains in Muscari taxa. M. vanensis (A–B), M. armeniacum (C–D) and M. botryoides (E–F).
FIGURE 8 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 8. Scanning electron micrographs of the investigated Muscari taxa. M. vanensis (A-C), M. armeniacum (D–F) and M. botryoides (G–I).
FIGURE 7 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 7. Mitotic metaphase chromosomes, idiograms and karyograms of Muscari taxa. M. vanensis (A–C), M. armeniacum (D–I), M. botryoides (J–O).
FIGURE 3 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 3. Muscari vanensis Uysal. Flowers (A), Habit (B, C, D, E), A view from the type locality (F), Capsule (G, H, I).
FIGURE 2 in A new grape hyacinth from East Anatolia (Turkey) Muscari vanensis (subgenus Botryanthus)
FIGURE 2. Geographical distributions of M. vanensis (red circle), M. botryoides (green circle), M. armeniacum (blue square) (A) and populations of M. vanensis (B).
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.