Skip to main content
Powered by ShareScore

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.

778

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

778 results for “tomato”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 4 in Effect of Bombus terrestris L. (Hymenoptera, Apidae) pollinating on flowering and fruiting trends of greenhouse tomato (Lycopersicon esculentum)

Fig. 4: The fruiting process in greenhouse tomato with and without bumblebees pollination treatments.

opencc-by-4.0Dec 2013View details →
zenodo40/100

Figure 1 in The tomato leafminer, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae): pupal key characters for sexing individuals

Figure 1. Pupal stage of the tomato leafminer Tuta absoluta: A) dorsal, B) ventral, and C) lateral views.

opencc-by-4.0Apr 2016View details →
zenodo40/100

Figure 2 in The tomato leafminer, Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae): pupal key characters for sexing individuals

Figure 2. Ventral views of female and male pupae of the tomato leafminer. Abdominal segments indicated as 5th (A5), 6th (A6), 7th (A7), 8th (A8), 9th (A9), and 10th (A10).

opencc-by-4.0Apr 2016View details →
zenodo40/100

Fig. 3 in High-level phylogeographic structuring of Neoleucinodes elegantalis Guenée (Lepidoptera, Crambridae) in Brazil: an important tomato pest

Fig. 3. Potential distribution as the probability of occurrence of N. elegantalis in the present (Now, 0 years BP), last glacial maximum (LGM; <21,000 years BP), and last interglacial (LIG, 120,000–140,000 years BP).

opencc-by-4.0May 2016View details →
zenodo40/100

Dataset for agronomic, quality and resistance traits in tomato BRESOV materials

<p>Different dataset for agronomic data, qualitative data and resistances to pathogens related to tomato BRESOV material</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Tomato 'de penjar' fruit quality data

<p><span>A collection of 44 varieties of &lsquo;de penjar&rsquo; 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>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Fig. 3 in Host range of the invasive tomato pest Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) on solanaceous crops and weeds in Tanzania

Fig. 3. Tuta absoluta-related damage in solanaceous crops and weeds in Tanzania. Damage values are averaged across all survey locations (see Table 1). Damage was quantified as the number of T. absoluta mines per leaf (A) and percentage of T. absoluta-damaged fruits (B) in 10 locations within each sampled field. Six to 12 fields were sampled per crop, and 1 to 3 fields per weed species (see Table 2). Tomato, Solanum lycopersicum; eggplant or aubergine, Solanum melongena; African (Afr.) eggplant, Solanum aethiopicum; African (Afr.) nightshades, Solanum nigrum and Solanum americanum; pepper, Capsicum annuum; and 3 weed species, Datura stramonium, Nicandra physalodes, and Solanum incanum.

opencc-by-4.0Nov 2018View details →
zenodo40/100

Fig. 1 in Host range of the invasive tomato pest Tuta absoluta Meyrick (Lepidoptera: Gelechiidae) on solanaceous crops and weeds in Tanzania

Fig. 1. Map of locations surveyed to determine host range and infestation level of Tuta absoluta in solanaceous crops and weeds in 2015. Four districts were targeted, each within the major tomato-producing regions of Tanzania. Within each district, 3 villages (indicated by black circles) were randomly selected for the survey (see Table 1).

opencc-by-4.0Nov 2018View details →
zenodo40/100

Fig. 1 in First report of invasive South American tomato leaf miner Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) in Tajikistan

Fig. 1. Damage (%) of Tuta absoluta on tomato in Tajikistan during Mar to Aug 2016. (A) Dukoni Jamoat, (B) Hissor Jamoat, (C) Guliston Jamoat, (D) Ghayrat Jamoat.

opencc-by-4.0Mar 2018View details →
zenodo40/100

Fig. 3 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses

Fig. 3. Mean number of western flower thrips (Frankliniella occidentalis) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifth sampling date (4 Jan); D6 = sixth sampling date (11 Jan).

opencc-by-4.0Sep 2019View details →
zenodo40/100

Fig. 2 in Effect of BAM-FX in developing a management program to control major insect pests of tomato: sweetpotato whitefly (Hemiptera: Aleyrodidae), thrips (Thysanoptera: Thripidae), and their transmitted viruses

Fig. 2. Mean number of common blossom thrips (Frankliniella schultzei) per 5 leaf sample of tomato treated with various treatments of BAM‑FX and N‑P‑K granular fertilizer in 2016. Bars represent standard error of the means. T1 = BAM‑FX applied on soil, no pesticide, no N‑P‑K fertilizer; T2 = BAM‑FX applied on foliage, no pesticide, no N‑P‑K fertilizer; T3 = BAM‑FX applied on soil, pesticide, no N‑P‑K fertilizer; T4 = BAM‑FX applied on foliage, pesticide, no N‑P‑K fertilizer; T5 = BAM‑FX applied on foliage, pesticide, N‑P‑K fertilizer; T6 = no BAM‑FX, pesticide, N‑P‑K fertilizer; T7 = no BAM‑FX, no pesticide, N‑P‑K fertilizer; D1 = first sampling date (14 Dec); D2 = second sampling date (21 Dec); D3 = third sampling date (21 Dec); D4 = fourth sampling date (28 Dec); D5 = fifh sampling date (4 Jan); D6 = 6th sampling date (11 Jan).

opencc-by-4.0Sep 2019View details →
zenodo40/100

Fig. 4 in Acaricide efficacy and resistance in South Carolina tomato populations of twospotted spider mite

Fig. 4. LC50 values (± 95% confidence interval) for 7 AIs screened against a known-susceptible lab colony and 3 field-collected populations of Tetranychus urticae. When present, the dashed line indicates the amount of AI in the maximum labelled field rate. This value also is indicated in each graph by "FR=". The resistance ratio of each AI × population is written above each data point.

opencc-by-4.0May 2021View details →
zenodo40/100

Fig. 1 in Acaricide efficacy and resistance in South Carolina tomato populations of twospotted spider mite

Fig. 1. Mean (± SE) spider mite (Tetranychus urticae) counts per tomato leaflet in a 2015 and 2016 acaricide efficacy trial conducted in South Carolina, USA. Arrows indicate dates of acaricide applications. Treatments with the same letter within a date are not statistically different (lsmeans P&gt; 0.05). "ns" indicates that the overall model was not significant. The dotted line represents the action threshold for spider mites in tomato (2 per leaflet).

opencc-by-4.0May 2021View details →
zenodo40/100

Fig. 2 in Acaricide efficacy and resistance in South Carolina tomato populations of twospotted spider mite

Fig. 2. Mean (± SE) cumulative mite d of Tetranychus urticae in a 2015 and 2016 acaricide efficacy trial conducted in South Carolina, USA. Arrows indicate dates of acaricide applications. Treatments with the same letter within a date are not statistically different (lsmeans P&gt; 0.05). "ns" indicates that the overall model was not significant.

opencc-by-4.0May 2021View details →
zenodo40/100

Figs 2, 3 in Native bee fauna of tomato crops: a comparison of active sampling and pan trapping methods

Figs 2, 3. Richness (Fig. 2) and abundance (Fig. 3) of flower visiting bees sampled bY different pan trap colors in nine tomato crops in GoiÁs state, BraZil. Boxplots represent means while vertical lines represent the 95% confidence interval. Each point represents value for each sampling unit.

opencc-by-4.0Sep 2019View details →
zenodo40/100

Associated metadata of the 21 resequenced herbarium tomato specimens

<p>Overview and metadata of the 21 resequenced herbarium specimens obtained from the Herbaria Basel, Basel, and the United Herbaria of the University of Zurich and the ETH Zurich (United Herbaria Z+ZT).</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Sequencing results of the 21 resequenced herbarium tomato specimens

<p>Sequencing results of the 21 herbarium tomato specimens resequenced on an Illumina NovaSeq 600 platform.</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Fig. 1 in Effects of irrigation method on pollination and pollinators (Hymenoptera: Apoidea) in an open-field tomato crop

Fig. 1. Fruit set (A) and weight of fruit (B) in relation to type of irrigation and type of pollination. OM = open + mechanical pollination.

opencc-by-4.0Apr 2019View details →
zenodo40/100

Fig. 1 in A maximum concentration bioassay to assess insecticide efficacy against hemipteran pests of tomato

Fig. 1. Mortality of third instar nymphs from 5 populations of Nezara viridula ('green'), 3 populations of Euschistus quadrator ('brown'), and 1 population of Leptoglossus phyllopus ('leaf') stink bug subjected to a maximum concentration test of 3 pyrethroid and 3 neonicotinoid insecticides and an untreated control (UTC). Percentage mortalities (+ SEM) are based on the mean of 5 nymphs per replicate with 3 replicates. Insecticides designated with the same letter in the horizontal axis are not statistically different (by Bonferroni t-test, P &lt;0.05).

opencc-by-4.0Jun 2023View details →
zenodo40/100

Data from: Repairing a deleterious domestication variant in a floral regulator of tomato by base editing

<p>This repository contains the data necessary to run the analysis described in the publication "Repairing a deleterious domestication variant in a floral regulator of tomato by base editing" by Glaus et al., 2024. A preprint is available on bioRxiv (doi:&nbsp;<a href="https://doi.org/10.1101/2024.01.29.577624" rel="nofollow">https://doi.org/10.1101/2024.01.29.577624</a>)</p> <p>&nbsp;</p> <p>82_acc_Spim0.1_filtered.vcf.gz -- variant call results for 82 genomes with LA1589 as reference</p> <p>82_acc_Spim0.1_filtered_SIFT_out.tar.gz -- sift4g prediction results for 82 genomes with LA1589 as reference (SIFTannotations.xls and SIFTpredictions.list)</p> <p>sift_lib_LA1589.tar.gz -- sift4g library for the LA1589 genome</p> <p>SolpimLA1589_liftoff.tar.gz -- liftoff annotation of LA1589 genome</p> <p>&nbsp;</p> <p>In case of any questions, please contact Sebastian Soyk (sebastian.soyk@unil.ch)</p>

opencc-by-4.0Sep 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record