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.
35
datasets available to search
ShareScore release 0.9.0
Dataset results
35 results for “fruit quality”
F I G U R E 2 in Female-female aggression in Bactrocera tryoni (Diptera: Tephritidae) and the influence of fruit quality on combat intensity
F I G U R E 2 Mean (±SE) time (in seconds) taken for a female Bactrocera tryoni to perform the first antagonistic behavioural event against a conspecific female when on one of three host fruit types. N = 15 female pairs per fruit type. Columns surmounted by different letters are significantly different at p = 0.05.
F I G U R E 1 in Female-female aggression in Bactrocera tryoni (Diptera: Tephritidae) and the influence of fruit quality on combat intensity
F I G U R E 1 Ethogram of antagonistic behaviours of female Bactrocera tryoni competing for a single host fruit. The size of the behavioural boxes and number within represent the frequency in which the individual behaviours occurred that led to a transitional flow to another behaviour. The number associated with the arrow represents the proportion of transition frequencies made by the females to other behaviours from a given behaviour and will sum to 1. For example, from a total number of observed behavioural events recorded for crabbing, a proportion of 0.381 of all transitions led to further crabbing (after the first crabbing had finished), 0.237 led to supination, 0.130 led to pushing, 0.091 led to tiptoe, 0.083 led to probing, 0.033 led to butting, 0.032 led to retreat and 0.014 led to chasing. The ethogram is based on 45 replicate recordings, each 1 h long of two sexually mature females competing for access to a single fruit resource for oviposition. The ethogram thus represents the combined behaviours of 90 individuals.
F I G U R E 4 in Female-female aggression in Bactrocera tryoni (Diptera: Tephritidae) and the influence of fruit quality on combat intensity
F I G U R E 4 Mean (±1 SE) number of occurrences of aggressive behaviours exhibited by Bactrocera tryoni females on three fruit types: cherry tomato, apple and mango. N = 15 replicate female–female pairs per fruit type. Columns surmounted by different letters are significantly different at p = 0.05.
F I G U R E 3 in Female-female aggression in Bactrocera tryoni (Diptera: Tephritidae) and the influence of fruit quality on combat intensity
F I G U R E 3 Mean (±1 SE) number of antagonistic events carried out by Bactrocera tryoni females against conspecific females when on one of three host fruit types. N = 15 female pairs per fruit type. Columns surmounted by different letters are significantly different at p = 0.05.
Fruit Quality Datasets (FruQ-DB)
<p>FruQ-DB is a dataset containing 11 varieties of fruits images. These images were created from YouTube fruit time-lapse videos (see link to the videos below). The FruQ-DB database consist of image frames from fruits such as banana, cucumber, grape, kaki, papaya, peach, pear, pepper, strawberry, tomatoes, and watermelon. A total number of 5647 preprocessed images with de-watermarked and resized (224x224). Three classes of fruit quality with number of image samples per class is summarized below:</p> <ol> <li>Fresh (2182 images)</li> <li>Mild (1364 images)</li> <li>Rotten (2101 images)</li> </ol> <p>Another datasets is uploaded FruQ-Multi is another folder containing each types of fruits and their classes.</p> <p>Links to the YouTube videos for the different fruit time elapse are: </p> <p><strong>Avocado </strong><a href="https://www.youtube.com/watch?v=FeQehUXZYPk"><strong>https://www.youtube.com/watch?v=FeQehUXZYPk</strong></a></p> <p><strong>Banana </strong><a href="https://www.youtube.com/watch?v=OmcXo9XC6Uc"><strong>https://www.youtube.com/watch?v=OmcXo9XC6Uc</strong></a></p> <p><strong>Cucumber </strong><a href="https://www.youtube.com/watch?v=UMnevucxOug"><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong></a></p> <p><strong>Kaki (persimmon) </strong><a href="https://www.youtube.com/watch?v=xE0Pw7jeOBo"><strong>https://www.youtube.com/watch?v=xE0Pw7jeOBo</strong></a></p> <p><strong>Papaya </strong><a href="https://www.youtube.com/watch?v=M8scWymSp2Y"><strong>https://www.youtube.com/watch?v=M8scWymSp2Y</strong></a></p> <p><strong>Peach </strong><a href="https://www.youtube.com/watch?v=g9pf19wk0-E&t=367s"><strong>https://www.youtube.com/watch?v=g9pf19wk0-E&t=367s</strong></a></p> <p><strong>Pepper </strong><a href="https://www.youtube.com/watch?v=H0Sd6Foaepk"><strong>https://www.youtube.com/watch?v=H0Sd6Foaepk</strong></a></p> <p><strong>Strawberry </strong><a href="https://www.youtube.com/watch?v=UMnevucxOug"><strong>https://www.youtube.com/watch?v=UMnevucxOug</strong></a></p> <p><strong>Tomato </strong><a href="https://www.youtube.com/watch?v=6xEcoU1vAZk"><strong>https://www.youtube.com/watch?v=6xEcoU1vAZk</strong></a></p> <p><strong>Watermelon </strong><a href="https://www.youtube.com/watch?v=S12zZhdOckc"><strong>https://www.youtube.com/watch?v=S12zZhdOckc</strong></a></p>
Figure 4 in Influence of Trichoderma harzianum and Bacillus thuringiensis with reducing rates of NPK on growth, physiology, and fruit quality of Citrus aurantifolia
Figure 4. Effect of two biofertilizers mixing with different level of NPK on leaf TSS content of Key lemon (Limau nipis). Error bars indicates ±SE. Different letters in the bar graph represent the statistically significant at 5% level. T0, control; T1, NPK 100% (100 g); T2, T. harzianum 50% (5g) + NPK 50%; T3, B. thuringiensis 50% (5g) + NPK 50%; T4, T. harzianum 75% (7.5g) + NPK 25%; T5, B. thuringiensis 75% (7.5 g) + NPK 25%, T6, 100% T. harzianum (10 g); T7, 100% B. thuringiensis (10 g).
Figure 5 in Influence of Trichoderma harzianum and Bacillus thuringiensis with reducing rates of NPK on growth, physiology, and fruit quality of Citrus aurantifolia
Figure 5. Effect of two biofertilizers mixing with different level of NPK on fruit TSS content of Key lemon (Limau nips). Error bars indicates ±SE. Different letters in the bar graph represent the statistically significant at 5% level. T0, control; T1, NPK 100% (100 g); T2, T. harzianum 50% (5g) + NPK 50%; T3, B. thuringiensis 50% (5g) + NPK 50%; T4, T. harzianum 75% (7.5g) + NPK 25%; T5, B. thuringiensis 75% (7.5 g) + NPK 25%, T6, 100% T. harzianum (10 g); T7, 100% B. thuringiensis (10 g).
Figure 1 in Influence of Trichoderma harzianum and Bacillus thuringiensis with reducing rates of NPK on growth, physiology, and fruit quality of Citrus aurantifolia
Figure 1. Effect of two biofertilizers mixing with different level of NPK on specific leaf area of limau nipis. Error bars indicate ± S. E. Different small case letters in mean value bars represent statistical difference at 5% level. T0, control; T1, NPK 100% (100 g); T2, T. harzianum 50% (5g) + NPK 50%; T3,B. thuringiensis 50% (5g) + NPK 50%; T4, T. harzianum 75% (7.5g) + NPK 25%; T5, B. thuringiensis 75% (7.5 g) + NPK 25%, T6, 100% T. harzianum (10 g); T7, 100% B. thuringiensis (10 g).
Figure 2 in Evaluation of some nutritional quality criteria of seventeen Moroccan dates varieties and clones, fruits of date palm (Phoenix dactylifera L.)
Figure 2. Representation of dates varieties and clones according to their quality characteristics. (a) Representation of variables according to PCA. (b) Segregation of 17 dates varieties and clones according to their quality attributes.
Tomato 'de penjar' fruit quality data
<p><span>A collection of 44 varieties of ‘de penjar’ tomato from different origins throughout the Valencian Region, located on the Spanish eastern coast, were evaluated under two N fertilization conditions. The collection was composed of 39 local varieties and 5 commercial varieties of the BRESOV collection. Data from University of Valencia</span></p>
Data from: Pollination treatment affects fruit set and modifies marketable and storable fruit quality of commercial apples
Insect-mediated pollination increases yields of many crop species and some evidence suggests that it also influences crop quality. However, the mechanistic linkages between insect-mediated pollination and crop quality are poorly known. In this study, we explored how different pollination treatments affected fruit set, dry matter content (DMC), mineral content and storability of apples. Apple flowers supplementary pollinated with compatible pollen resulted in higher initial fruit set rates, higher fruit DMC and a tendency for lower fruit K:Ca ratio than flowers that received natural or no pollination. These variables are related to desirable quality aspects, since higher DMC is connected to higher consumer preference and lower K:Ca ratio is related to lower incidence of postharvest disorders during storage. Using structural equation modelling, we showed an indirect effect of pollination treatment on storability, however mediated by complex interactions between fruit set, fruit weight and K:Ca ratio. The concentrations of several elements in apples (K, Zn, Mg) were affected by the interaction between pollination treatment and apple weight, indicating that pollination affects element allocation into fruits. In conclusion, our study shows that pollination and the availability of compatible pollen needs to be considered in the management of orchard systems, not only to increase fruit set, but also to increase the quality and potentially the storability of apples.
Fruit Yield and Quality Evaluation of Nongrafted and Grafted Cantaloupe in a Mediterranean-type Climate
<p>Cultivars, abbreviation, seed source, and sowing date of cantaloupe and rootstock cultivars used for grafted and nongrafted treatments at Mount Vernon, WA, in 2020 and 2021.</p>
Datasets for article: "Growth, yield and fruit quality of tomato Solanum lycopersicum L grown in sewage-based compost in a semi-hydroponic cultivation system"
<p>These are datasets for the article "<a href="https://url6649.tandfonline.com/ls/click?upn=odl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq3t86qU90pAx-2BEad4OTI0D6N9KC9sSb13y7BPhSaI63naXaZgVk1tHid9RTOJaM-2BnU-3D7KXJ_7lAorwd83bcaLkCsHwQvGOB9-2B-2BBAnxWbMvsKY6LNfdeMZIZaDBN1qcEGaoB68Zm3oQJMrVyC4lonL7Ijzn3jC4mP-2Bn0By4CgI-2Fsl-2BpH9f-2FkHHDAmcaic3SupThlJumHH0OlnLYxK7sBZVFoAIGTbzWYuCGoTD1OiI-2B9hCV2q3oeUlwNt7LmUWEphiiU2jLHJPhc-2BtmWrqknunT7zsH-2BOotCufae3hHE9Cd6sCbxN0xWhC1N6Eabvq83S0YBORSx-2FVsTVIIbd0BQgD74rizmahhXmrvA5f9Q8Ac7C8oSBVeY-3D">Growth, yield and fruit quality of tomato Solanum lycopersicum L grown in sewage-based compost in a semi-hydroponic cultivation system</a> "</p>
Figure 1 in Evaluation of some nutritional quality criteria of seventeen Moroccan dates varieties and clones, fruits of date palm (Phoenix dactylifera L.)
Figure 1. Map of Zagora of the date palm in Morocco as seen from space (Source: Google earth).
Sugar and nitrogen digestive processing does not explain the specialized relationship between euphonias and low quality fruits
<p>In the Neotropical region, euphonias (Euphonia spp., Fringillidae) are the quintessential example of specialized bird frugivores, making the bulk of feeding visits to certain mistletoes (Phoradendron spp., Santalaceae) and epiphytes in the genus Rhipsalis (Cactaceae), whose fruits have high water and low sugar and protein concentrations. Surprisingly, a mechanistic explanation for such specialized, otherwise rare, relationships is lacking. Using captive birds and artificial diets, we contrasted euphonias with frugivorous tanagers in the genus Thraupis (Thraupidae), which rarely eats Rhipsalis fruits, to test the hypothesis that the digestive capacity of euphonias entails them to exploit such low-energy fruits. We expected that compensatory feeding in response to decreasing energy density would occur only in euphonias, whose higher reliance on fruits would entail a lower nitrogen requirement than the tanagers. Euphonias and tanagers were both able to compensate energy intake as sugar density decreased, and both species had the same mass-corrected energy intake at any given sugar concentration. Similarly, euphonias and tanagers did not differ in mass-corrected maintenance nitrogen requirement. Therefore, the physiological traits we investigated do not explain euphonia´s specialization on Rhipsalis fruits. The fast rates of fruit passage typical of specialized avian frugivores as euphonias that entail the processing of a large volume of fruits, and the putative better abilities of such birds to deal with secondary compounds likely present in Rhipsalis fruits are other possible mechanisms that should be considered in future studies to unveil the mechanisms underlying the intriguing specialized relationships between euphonias and certain fruits.</p>
Sugar and nitrogen digestive processing does not explain the specialized relationship between euphonias and low quality fruits
Open the record for dataset details and reuse information.
Vascular network in the pericarp of tomato fruit and implications for fruit size, quality, and drought response
Open the record for dataset details and reuse information.
Data from: Pollination treatment affects fruit set and modifies marketable and storable fruit quality of commercial apples
Open the record for dataset details and reuse information.
Tomato fruit quality traits and metabolite content are affected by reciprocal crosses and heterosis
Open the record for dataset details and reuse information.
Fruit secondary metabolites alter the quantity and quality of a seed dispersal mutualism
Open the record for dataset details and reuse information.
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.