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.
135
datasets available to search
ShareScore release 0.9.0
Dataset results
135 results for “avocado”
Figs. 1–6 in Armored scales (Hemiptera: Diaspididae) infesting Hass avocado intercepted in Florida and a new parasitoid-host association for Davidsonaspis aguacatae
Figs. 1–6. Scale insects on intercepted Hass avocado. 1. Latania scale, Hemiberlesia lataniae, adult females on avocado surrounding peduncle remnant. Arrow indicates parasitoid emergence hole. 2–6. Aguacatae scale, Davidsonaspis aguacatae: 2. Adult female scales on avocado skin on intercepted fruit. Ink circles ap- plied by interception officer, arrows indicate actual scale. 3. Adult female with scale cover removed. 4. Close-up of same. 5. Adult female scale cover. 6. Pygidium of slide-mounted female, with diagnostic characters; ao–anal opening, pl–pygidial lobe.
Figs. 7–9 in Armored scales (Hemiptera: Diaspididae) infesting Hass avocado intercepted in Florida and a new parasitoid-host association for Davidsonaspis aguacatae
Figs. 7–9. Parasitized Davidsonaspis aguacatae adult female: 7. Encarsia lounsburyi adult female and adjacent D. aguacatae crawler; pl–pygidial lobe, t–tentorium. 8. Details of D. aguacatae crawler; ant–antenna, l–leg, ms–maxillary stylet, pl–pygidial lobe. 9. Details of E. lounsburyi adult female.
Figure 1 in An updated checklist and a key for the Typhlocybinae leafhoppers (Hemiptera: Cicadellidae) associated with avocado trees in Mexico
Figure 1. Habitus and structures of typhlocybines studied. A. Dikrella mella, habitus in dorsal view. B. Idona dmitrievi, habitus in dorsal view. C. Idona dmitrievi, forewing. D. Idona floresi, forewing. E. Idona dmitrievi, hind wing. F. Joruma krausi, hind wing. G. Idona minuenda, head and pronotum in dorsal view. H. Alconeura candida, aedeagus in lateral view. I. Idona dmitrievi, aedeagus in lateral view. J. Idona minuenda, aedeagus in lateral view. K. Idona minuenda, pygofer in lateral view. L. Idona gonzalezae, pygofer in lateral view. M. Idona dmitrievi, pygofer in lateral view.
Fig. 7 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 7. Mean Hemiberlesia cyanophylli and Hemiberlesia lataniae armored scales and percentage of parasitism on branches (a, b) and fruits (c, d) on Hass avocado in the Bordo 2 orchard (Villa Guerrero) from May 2017 to Apr 2018.
Fig. 6 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 6. Mean Davidsonaspis aguacatae armored scale on branches and fruits of Hass avocado and percentage of parasitism in Cochisquila 1 (a, c), and La Casita (b, d) orchards (Coatepec Harinas) from Jul 2017 to Apr 2018.
Fig. 2 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 2. Percentage of parasitism in armored scale in 4 Hass avocado orchards in Coatepec Harinas and Villa Guerrero, Estado de Mexico, Mexico, from May 2017 to Apr 2018.
Fig. 5 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 5. Mean Hemiberlesia cyanophylli and Hemiberlesia lataniae armored scales and percentage of parasitism on branches (a, b) and fruits (c, d) on Hass avocado in the Papalote 1 orchard (Villa Guerrero) from May 2017 to Apr 2018.
Fig. 4 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 4. Mean of armored scale on branches and fruits in Hass avocado orchards in Estado de Mexico, Mexico (Coatepec Harinas and Villa Guerrero).
Fig. 1 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 1. Mean armored scales in 4 Hass avocado orchards in Coatepec Harinas and Villa Guerrero, Estado de Mexico, Mexico, from May 2017 to Apr 2018.
Fig. 3 in Armored scales (Hemiptera: Diaspididae) and their parasitoids on Hass avocado (Persea americana Miller) in two municipalities of the State of Mexico, Mexico
Fig. 3. Regression between percentage of parasitism and mean armored scales on Hass avocado orchards in Coatepec Harinas and Villa Guerrero, Estado de Mexico, Mexico.
Fig. 1 in Pagiocerus frontalis (Fabricius) (Coleoptera: Curculionidae: Scolytinae) associated with avocado Persea americana Miller (Lauraceae) fruit in Nayarit, Mexico
Fig. 1. Pagiocerus frontalis in avocado fruit. (A) Holes caused by P. frontalis, (B) adult of P. frontalis, (C) presence of seed (embryo) damage indicators, (D) dehydrated seed with external evidence of sawdust.
Fig. 2 in Report of Astaena pygidialis Kirsch (Coleoptera: Scarabaeidae), the main chafer beetle causing damage to avocado fruit and young leaves in Antioquia Department, Colombia
Fig. 2. Nocturnal species captured in direct scouting of avocado trees: (A) Isonychus sp., (B) Cyclocephala fulgurata, (C) Plectris pavida, (D) Astaena valida.
Fig. 4 in Report of Astaena pygidialis Kirsch (Coleoptera: Scarabaeidae), the main chafer beetle causing damage to avocado fruit and young leaves in Antioquia Department, Colombia
Fig. 4. Species collected using light traps placed in avocado orchards in Antioquia, Colombia, in 2016 and 2017: BV = Site-BV La Ceja; LS = Site-LS Rionegro; VH = Site-VH La Ceja; LA = Site-LA El Peñol.
Fig. 3 in Report of Astaena pygidialis Kirsch (Coleoptera: Scarabaeidae), the main chafer beetle causing damage to avocado fruit and young leaves in Antioquia Department, Colombia
Fig. 3. Astaena pygidialis Kirsch, the species found causing the damage to Hass avocado fruit and leaves at all sampling sites: (A) adult feeding on an immature Hass avocado fruit, (B) adults copulating and feeding on immature avocado Hass leaves, (C) old feeding damage on small fruit, (D) feeding scars that elongated as fruit matured, (E) skeletonized young leaves.
Fig. 1 in Report of Astaena pygidialis Kirsch (Coleoptera: Scarabaeidae), the main chafer beetle causing damage to avocado fruit and young leaves in Antioquia Department, Colombia
Fig. 1. Diurnal species captured during direct visual observations of avocado trees: (A) Charioderma xylina, (B) Anomala sp., (C) Strigoderma sp., (D) Gymnetis pantherina.
Linked collectors and determiners for: On the identity of a U.S. intercepted Conotrachelus Dejean (Coleoptera: Curculionidae) with avocado (Persea americana).
Natural history specimen data linked to collectors and determiners held within, "On the identity of a U.S. intercepted Conotrachelus Dejean (Coleoptera: Curculionidae) with avocado (Persea americana)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/5785ecbf-0d8a-4304-bd6b-c93aedabc3d1">https://bionomia.net/dataset/5785ecbf-0d8a-4304-bd6b-c93aedabc3d1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/5785ecbf-0d8a-4304-bd6b-c93aedabc3d1">https://gbif.org/dataset/5785ecbf-0d8a-4304-bd6b-c93aedabc3d1</a>. Formatted as a Frictionless Data package.
eDNA metabarcoding of avocado flowers: 'Hass' it got potential to survey arthropods in food production systems?
<p>In the face of global biodiversity declines, surveys of beneficial and antagonistic arthropod diversity as well as the ecological services that they provide are increasingly important in both natural and agro-ecosystems. Conventional survey methods used to monitor these communities often require extensive taxonomic expertise and are time-intensive, potentially limiting their application in industries such as agriculture, where arthropods often play a critical role in productivity (e.g. pollinators, pests and predators). Environmental DNA (eDNA) metabarcoding of a novel substrate, crop flowers, may offer an accurate and high throughput alternative to aid in the detection managed and unmanaged arthropod taxa (e.g. flower-visiting insects and potential pollinators). Here, we compared the arthropod communities detected with eDNA metabarcoding of flowers, from an agricultural species (<em>Persea americana </em>- 'Hass' avocado), with two conventional survey techniques; Digital Video Recording (DVR) devices and pan traps. In total, 80 eDNA flower samples, 96 hours of DVRs and 48 pan trap samples were collected. Across the three methods, 49 arthropod families were identified, of which 12 were unique to the eDNA dataset. Alpha diversity levels did not differ across the three survey methods although taxonomic composition varied significantly, with only 12% of arthropod families found to be common across all three methods. This study demonstrates that eDNA metabarcoding of flowers to detect visiting arthropods, although in a developmental stage, can complement traditional survey methods and increase the diversity of taxa detected with implications for both natural and agro-ecosystems.</p>
Pollinator efficiency of avocado (Persea americana) flower insect visitors
<p>Pollination services from insects are important for higher yield and better fruit quality in avocado (<em>Persea americana Mill.</em>). Measuring pollinator effectiveness is significant for capturing the relative contributions of different insect taxa to pollination services and for identification of the most important pollinators of this globally important crop. In the present study, we tested pollinator efficiency of avocado in Kenya based on pollen deposition after single visits of flowers by different pollinator species and visitation frequency. We monitored the pollination frequency during the flowering period replicated across six farms. Three trees were selected per farm, each <span>with five flower panicles.</span> Out of the <span>14 </span>observed insect flower visitor species, pollen deposition efficiency was highest in the Western honey bee (<em>Apis mellifera L.</em>), followed by the hover fly species (<em>Phytomia incisa W</em>.). These two species had both the highest pollen deposition and pollen grain loads on their bodies. Furthermore, <em>A. mellifera</em> was the most frequent avocado flower visitor followed by Diptera except hoverflies. Our results imply that A. mellifera can be managed to achieve adequate pollination services for avocado, particularly in areas lacking efficient wild pollinators.</p>
FOD CT Data: air pockets in avocado and stone in modelling clay
<p><strong>Summary</strong></p> <p>This submission contains X-ray CT data of avocado fruits and pieces of modelling clay containing pebble stones.<br> Data for every object include binned pre-processed projections and volume segmentations.<br> These datasets can be used for training and testing deep learning methods for foreign object detection.</p> <p>The data is made available as a part of the paper "CT-based data generation for foreign object detection on a single X-ray projection".</p> <p><strong>Data acquisition</strong></p> <p>A majority of raw data for modeling clay (excluding 10 samples without pebble stones in the Test subset) is taken from the dataset<br> "A collection of 131 CT datasets of pieces of modeling clay containing stones"<br> [](https://doi.org/10.5281/zenodo.5866228)</p> <p>The remaining pieces of modeling clay and all avocado fruits were scanned at the FleX-ray laboratory<br> of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, the Netherlands (details can be found in [Coban 2020]).<br> For every fruit, we made scans with significantly different amounts of air pockets by waiting for a few days between experimental acquisitions.<br> The measurements were performed with the voltage of 90 kV, power of 45 W, exposure time of 300 ms per projection, and magnification factor of 1.3.<br> The original X-ray image size was 1912 px x 1520 px with a pixel size of 75 μm, 1440 images were acquired for every sample.<br> For faster deep learning model training, images and reconstructions were downsampled with a factor of 4, leading to the effective pixel size of 300 μm and voxel size of 230 μm.<br> Additional scans of the pieces of modeling clay were acquired with settings similar to the main collection.</p> <p><strong>Data Description</strong></p> <p>The submission is split into "Avocado" and "Playdoh" (pieces of modeling clay) datasets. Each dataset is further split into Training and Test subsets.</p> <p>The folder for every scanned object contains<br> - ./log/ - subfolder with logarithmed X-ray projections after darkfield and flatfield correction.<br> - ./segm/ - subfolder with slices of the segmented volume.<br> - ./scan settings.txt - a file with scanner metadata containing scan geometry<br> - ./volume_info.csv - a file with a voxel count for every class in the segmentation.</p> <p>For playdoh objects, the segmentation classes are modeling clay (Class 1) and pebble stone (Class 2). In this case, pebble stones are foreign objects.</p> <p>For avocado objects, the segmentation classes are peel (Class 1), avocado meat (Class 2), seed (Class 3) and air pockets (Class 4). Air pockets are considered a foreign object.</p> <p><strong>Additional Links</strong></p> <p>These datasets are produced by the Computational Imaging group at Centrum Wiskunde & Informatica (CI-CWI). For any relevant Python/MATLAB scripts for the FleX-ray datasets, we refer the reader to our group's GitHub page.</p> <p><strong>Contact Details</strong></p> <p>For more information or guidance in using these datasets, please get in touch with<br> - vladyslav.andriiashen [at] cwi.nl</p> <p><strong>References</strong></p> <p>[Coban 2020] S. B. Coban, F. Lucka, W. J. Palenstijn, D. Van Loo, and K. J. Batenburg, “Explorative imaging and its implementation at the FleX-ray Laboratory,” J. Imaging, vol. 6, no. 18, 2020, doi: 10.3390/jimaging6040018.</p>
Data from: Local adaptation of Pinus leiophylla under climate and land use change models in the Avocado Belt of Michoacán
<p>Climate change and land use change are two main drivers of global biodiversity decline, decreasing the amount of genetic diversity that populations harbor and altering the patterns of local adaptation. Methods in landscape genomics allow measuring the effect of these anthropogenic disturbances on the adaptation of populations. However, both factors have rarely been considered simultaneously. We modeled the spatial turnover in allele frequencies of 19 localities of <em>Pinus leiophylla</em> across the Avocado Belt in Michoacán state, Mexico which could change under climate change and land use change scenarios, in addition to evaluating assisted gene flow strategies and connectivity metrics across the landscape to identify priority conservation areas. We found that localities at the center-east regions would be more vulnerable to climate change, while localities in the west area will be more threatened by actions of land use change. However, assisted gene flow actions could reduce their risk of extinction for both scenarios. Connectivity patterns will also be modified by future habitat loss, with the central and eastern parts having the highest connectivity values. These results show that the areas with the highest priority for conservation are in the eastern zones, which include the Monarch Butterfly Biosphere Reserve. This work is useful as a framework that incorporates distinct layers of information to provide a robust representation of the response of populations to future anthropogenic disturbances.</p>
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.