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.
32
datasets available to search
ShareScore release 0.9.0
Dataset results
32 results for “Postharvest”
Optimizing Deep Learning Models for Aflatoxin Detection: A Case of Artificial Intelligence-Driven Classified Groundnut Image Datasets for Postharvest Management
<p><strong>DATASET DESCRIPTION </strong><br>This dataset comprises a curated collection of classified groundnut images, specifically designed for deep learning applications in aflatoxin detection. The dataset is organized into four distinct categories: Healthy, Moldy, Insect-Infested, and Physiological Disorder, making it a vital resource for training AI and machine learning models aimed at advancing agricultural research. These classifications are crucial for the development of AI-driven solutions addressing aflatoxin contamination, enhancing crop quality assessments, and improving postharvest management practices.<br>The dataset has been developed to support research in agricultural Artificial Intelligence (AI), machine learning (ML), and food safety, with a focus on aiding resource-constrained regions in combating postharvest losses due to contamination. By leveraging this dataset, researchers can contribute to safeguarding public health, promoting food security, and supporting smallholder farmers.</p> <p><strong>POTENTIAL APPLICATIONS</strong><br>This dataset provides numerous opportunities for innovation in agriculture through AI and deep learning technologies. Its key applications include:<br><strong>Early Aflatoxin Detection</strong>: Facilitates the development of AI-powered models for prompt identification of aflatoxins in groundnuts, helping mitigate associated health risks.<br><strong>Postharvest Management Improvement</strong>: Enables the creation of innovative solutions to enhance storage, handling, and processing, reducing contamination and losses.<br><strong>Food Safety and Quality Assurance</strong>: Strengthens agricultural value chains by supporting the production of safe and high-quality food products.</p> <p><strong>BROADER IMPACT</strong><br>This resource is invaluable for fostering AI innovation in agriculture, particularly in resource-limited environments. It addresses critical challenges such as postharvest losses and food contamination while contributing to global efforts in sustainable agricultural development. By utilizing this dataset, researchers can improve food security, support smallholder farmers, and drive advancements in agricultural practices that benefit both local and global communities.</p>
Data from: β-aminobutyric acid-induced resistance in postharvest peach fruit involves interaction between the MAPK cascade and SNARE13 protein in salicylic acid-dependent pathway
Open the record for dataset details and reuse information.
Data from: Ectomycorrhizal fungal community succession and fragmentation across subalpine forest edges nearly 3 decades postharvest
Open the record for dataset details and reuse information.
supplemental materials for "Feruloyl Glyceride as a Natural Antimicrobial for Inhibiting Postharvest Penicillium Rot in Tomatoes by Accelerating the Deposit of Suberin"
<p>Supplemental Figures <br>Table S1. The sequence of qPCR primers<br>Table S2. Quantities of various compounds<br>Table S3. Differential metabolites with up-regulated expression<br>Table S4. Differentially expressed genes with up-regulated expression<br>Table S5. Differentially expressed genes in the suberin synthesis pathway<br>Table S6. Differential metabolites in suberin synthesis pathway<br>Table S7. Correlation analysis</p>
MADS2 regulates priming defence in postharvest peach through combined salicylic acid and abscisic acid signaling
<p>MADS-box genes play well-documented roles in plant development, but relatively little has been recorded regarding their involvement in the defence response. Herein, the treatment of peach fruit with BABA activated resistance against Rhizopus stolonifer, leading to a significant delay in the symptomatic appearance of Rhizopus rot disease. This protection was greatly potent in R. stolonifer-inoculated peaches and equipped the intertwined defence response containing H2O2 burst, ABA accumulation and callose deposition. Moreover, nucleus-localized PpMADS2 was identified as a PpNPR1 interacting partner via cDNA library screening. Y2H, LCI and co-IP assays further verified the interaction between PpNPR1 and PpMADS2. The DNA binding activity of PpNPR1 conferred by the PpNPR1-PpMADS2 complex was required for the transcription of SA-dependent PR and ABA-inducible PpCalS genes to gain the augmented BABA-IR, in which the PpMAPK1-induced posttranslational modification of PpMADS2 simultaneously was involved. Accordingly, PpMADS2 overexpression potentiated the transcription of a group of PR genes and fungal resistance in transgenic Arabidopsis. Conversely, mads2 knockout lines showed high sensitivity to fungal pathogen. Therefore, the results indicate that PpMADS2 positively participates in the BABA-elicited defence in peaches through the collaboration of SA-dependent NPR1 activation and ABA-signaling callose accumulation, which is also related to the posttranslational modification of PpMADS2 by PpMAPK1 for signal amplification.</p>
Fig. 8 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 8. Reaction scheme for the formation of BOH (6) and BCOOH (8) from reactive benzaldehyde through a Cannizzaro type reaction, catalyzed by a benzaldehyde dehydrogenase (based on Wuensch et al., 2013). The proposed scheme would require only one enzymatic activity for both the oxidative and reductive half-reactions.
Fig. 7 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 7. Proposed scheme for reactions taking place during the maca drying. The sequence is based on the main hydrolytic metabolites observed during the drying process. Step A describes reactions generating the initial hydrolysis products and including BITC (2), BCN (4) and BIOC (7). Step B is the formation of BNH2 (3), the main accumulation product, from BITC (2). Step C describes deamination of BNH2 (3) to generate various deaminated benzenoids. Step D corresponds to the disproportionation reactions leading to pools of BCHO (5), BOH (6) and BCOOH (8) through the action of an aldehyde dehydrogenase. Step E is the condensation of BNH2 (3) with free fatty acids to produce macamides (MAC 9–13) and step F corresponds to esterification or glycosylation of BCOOH (8) as a detoxification mechanism. Numbers correspond to those in Fig. 1. Dark lines show favored reactions according to our results. Compounds in light gray are minor transient products.
Fig. 4. Pearson correlation values for glucosinolate hydrolytic products. Panel A in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 4. Pearson correlation values for glucosinolate hydrolytic products. Panel A shows the correlation of metabolites for the early stage of drying, where reactions are caused by direct damage to the tissue by shredding. Panel B shows the correlation between intermediaries as a result of the late stage tissue dehydration. BCOOR- 2, BCHO-2 and BCOOH-2 shown in panel B correspond to data points in Fig. 5 shown as part of the red solid line while BCOOR (8a), BCHO (5) and BCOOH (8) in panel A correspond to the early stage in the figure shown in solid black lines. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 6. Time course for the concentration of ammonium ion in maca tissues during drying. Deamination of benzyl amine and amino acids by amine oxidases are potential sources of ammonia under our short (72 h) drying conditions. Peak values of NH+ are 25 μmol g 1 dry wt.. Total amount of deaminated benzenoids 4 accounts for only 0.75 μmol g 1 dry wt. indicating other major sources of ammonium in the process. Curve adjusted by nonlinear regression (R2 = 0.9472).
Fig. 3 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 3. Tissue concentrations during oven drying for benzyl glucosinolate (BGL) and its metabolites. Drying maca tissue was extracted in solvent and the levels of benzyl glucosinolate, its primary hydrolytic products (BITC, BCN) and two products that accumulate in the flour, benzyl amine (BNH2) and macamides (MAC) were analyzed. RW represents residual humidity. Hydrolytic and final accumulation product patterns match those previously reported (Esparza et al., 2015), although for this study, a 72 h drying period and 35 ◦ C constant temperature were employed. Values are expressed in molar fraction of initial glucosinolate concentration, where 1 = 36 ± 5 μmol g 1 dry wt. (N = 6). Nonlinear regression coefficients for the compounds were: R2 = 0.941 (BGL, 1), R2 = 0.971 (BITC, 2), R2 = 0.777 (BCN, 4), R2 = 0.955 (BNH, 3), R2 = 0.985 (MAC, 9–13) and R2 = 0.993 (RW).
Fig. 2 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 2. Time course of major VOCs from glucosinolate hydrolysis measured by headspace SPME-GC-MS. Values are expressed as percentage of average peak total ion current (TIC) for each compound. Compounds, from top left are: benzyl isothiocyanate (BITC, 2), benzyl nitrile (BCN, 4), benzaldehyde (BCHO, 5), benzyl alcohol (BOH, 6), benzyl isocyanate (BIOC, 7), and average relative humidity (RH) inside the chamber (N = 9). Peak TIC values (x 107) for the compounds were: 238.42 (2, 100%); 2.88 (4, 1.2%); 34.9 (5,14.6%); 28.17 (6, 11.8%) and 3.75 (7, 1.6%). Values in parenthesis after the compound number denote the relative intensity of the peak in relation to the isothiocyanate peak. RH = relative humidity in the headspace.
Fig. 5 in Glucosinolate catabolism during postharvest drying determines the ratio of bioactive macamides to deaminated benzenoids in Lepidium meyenii (maca) root flour
Fig. 5. Time course profiles for transient and final deaminated benzenoid products in drying maca tissues. Kinetic profiles show two stages, early "fast" kinetics (solid black lines) that take place in the initial 12 h, corresponding to damage to the tissues done by shredding to reduce size for drying and a second "slow" stage (solid red lines) that shows the dehydration of the tissues in the later part of the drying process. Data points corresponding to the initial and the late phases have been subjected to nonlinear regression separately. The nonlinear regression coefficients for the metabolites were for BCHO (5): R2 = 0.9962 (early phase), R2 = 0.9880 (late phase), for BOH (6): R2 = 0.9999 (early), R2 = 0.9522 (late), BCOOH (8): R2 = 0.9999 (early), R2 = 0.9526 (late), BCOOR (8a): R2 = 0.9677. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
MADS2 regulates priming defence in postharvest peach through combined salicylic acid and abscisic acid signaling
Open the record for dataset details and reuse information.
Long non-coding RNAs and their potential function in postharvest senescence of Sparassis latifolia packaged with oriented polypropylene film
GEO Series GSE226806. Sparassis latifolia. 12 samples. Type: Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing.
Rhizopus stolonifer displays necrotrophic behavior when infecting fruit in postharvest
GEO Series GSE232735. Rhizopus stolonifer; Fragaria x ananassa; Prunus domestica; Solanum lycopersicum; Vitis vinifera. 49 samples. Type: Expression profiling by high throughput sequencing.
Transcriptome analysis of postharvest de-astringency treatments in persimmon fruit
GEO Series GSE137588. Diospyros kaki. 21 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomics and metabolomics reveal the underlying mechanism of drought treatment on anthocyanin accumulation in postharvest blood orange fruit
GEO Series GSE253283. Citrus sinensis. 18 samples. Type: Expression profiling by high throughput sequencing.
Comparative transcriptomic anlaysis of postharvest stored ‘Bingtangcheng’ and ‘Tarocco’ Blood orange fruit differing in fruit citrate and anthocyanin accumulation
GEO Series GSE212015. Citrus sinensis. 30 samples. Type: Expression profiling by high throughput sequencing.
Molecular responses and metabolic reset of apple fruit under postharvest low oxygen stress
GEO Series GSE72153. Malus domestica. 4 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic and Epigenetic Signatures of Tomato Fruit After Postharvest UV-C Irradiation Are Associated with the Maintenance of Fruit Quality
GEO Series GSE290063. Solanum lycopersicum. 18 samples. Type: Methylation profiling by high throughput sequencing; Other.
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.