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235 results for “orchards”

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zenodo32/100

FIGURE 2 in Contributions to the knowledge of the Cicadellini sharpshooters (Hemiptera: Cicadellidae) associated with citrus orchards in Argentina

FIGURE 2. Female genitalia of Bucephalogonia xanthophis. A. Sternite VII, ventral view, B. Pygofer, lateral view, C. Valvifer I, lateral view, D. Valvifer II, lateral view, E–F. Valvula I, lateral view: E. General aspect, F. Dorsal Sculptured Area (DSA), in detail, G. Ventral surface of basal portion, in detail, H. Apex. I–K. Valvula II, lateral view: I. General aspect, J. Tooth, K. Apex, L. Gonoplac, general aspect. Scales=0,5 mm: A, B, E, I, L; 0,3 mm: C, D.

opennotspecifiedNov 2022View details →
zenodo32/100

Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms - SensitivityAnalysis

<p>The dataset &quot;Sensitivity Analysis&quot; consists of image sequences (videos) for apple detection and tracking and its corresponding ground truth. The ground truth is presented in MOT format. This dataset is part of the paper:</p> <p>Villacr&eacute;s, J., Viscaino, M., Delpiano, J., Vougioukas, S. &amp; Cheein, F. A. (2022). Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms.&nbsp;<em>Computers and Electronics in Agriculture</em>.</p> <p>The article is currently accepted. For a better reference format, please refer to the journal&#39;s official website.</p> <p>If you have used the material presented in this data set, please cite the previous article.</p> <p>For more information regarding the dataset, please refer to the paper mentioned below.</p>

opencc-by-4.0Nov 2022View details →
zenodo32/100

FlexiGroBots - Blueberry orchard UAV dataset May 2022

<p>This data represents the UAV-image acquisition from May 2022 in blueberry orchards located in Babe, Serbia.</p> <p>In order to align different channels, registration was applied and because of uneven illumination during the acquisition process, illumination correction was performed. Thus, the results of each preprocessing step&nbsp;are located in separate&nbsp;folders i.e., raw data are in 100FPLAN,&nbsp;101FPLAN, and 102PLAN, results of registration are in 100FPLAN_R, 101FPLAN_R and 102FPLAN_R, while images with corrected illumination are in 100FPLAN_R_C, 101FPLAN_R_C and&nbsp;102FPLAN&shy;_R_C. Final preprocessed data is located in folders 100FPLAN_R_C_FINAL, 101FPLAN_R_C_FINAL and 102FPLAN_R_C_FINAL.&nbsp;Orthomosaics generated after preprocessing are in processed_orthomosaics folder.</p>

opencc-by-4.0Dec 2022View details →
zenodo32/100

Field and Orchard Management Binders

<p>TREC management of fruit and row crops is conducted by the field crew under the direction of Field Manager Jose Castillo. The management of crops, specifically fertilizer and pesticide applications, have been documented in physical binders This digital collection of management binders included records from 1993-2018 for blocks with fruit and row crops.</p> <p>The catalog for this collection is contained as `_FieldOfficeBinderCatalog.xlsx` with a summary of binder contents as `_CatalogSummary.xlsx` and 41 files containing digitized binder pages.</p>

opencc-by-4.0Dec 2022View details →
dryad32/100

Tea seed meal application promoted microbial community diversity in the soil of peach orchard

<p><span>Soil microbes are indispensable in agricultural production, and they respond differently to different fertilization regimes. However, there is limited understating of microbial composition and function responses to an organic fertilizer tea seed meal (TSM) and conventional fertilizer. Here we first reported the change rules and functions of soil microbial community in peach orchard soil after application of compound fertilizer plus urea (CFU) and different amounts (1.25, 2.50, 3.75 and 5.00 kg) of TSM. Compared to CFU, the application of 1.25, 2.50 and 3.75 kg TSM significantly decreased the Chao1 index of bacterial community in peach orchard soil. The Shannon index of bacterial and fungal communities in 2.50 kg TSM treatment was significantly higher than that in CFU. Beta diversity analysis of bacteria and fungi (based on Bray-Curtis matrix and OTUs level) revealed significant structural differences among all five experimental groups (ANOSIM, bacteria: R= 0.665, p = 0.001; fungi: R= 0.996, p = 0.001). The TSM treatments significantly decreased the relative abundances of potentially unfriendly bacteria (<em>Acidothermus</em>, <em>Acidicaldus</em>, </span><span><em>Sphingomonas</em>,</span><span> <em>Candidatus</em> <em>Koribacter</em> and <em>Candidatus</em> <em>Solibacter</em>) and fungi (<em>Fusarium</em>), and significantly increased the relative abundances of potentially beneficial fungi (<em>Trechispora</em>, <em>Sagenomella</em>, <em>Penicillium</em>, <em>Acaulium</em> <em>caviariforme</em>, <em>Leucoagaricus</em> and <em>Chlorophyllum</em>) compared with CFU. These changes were more obvious when the application amount of TSM was 2.50 kg. This study provides insights into the potential of application of TSM as an organic fertilizer in agricultural production.</span></p>

opencc-zeroJan 2023View details →
zenodo32/100

FIG. 2 in Diet determined by next generation sequencing reveals pest consumption and opportunistic foraging by bats in macadamia orchards in South Africa

FIG. 2. The proportions of different insect orders in the diet of six species of bats occurring in macadamia orchards based on the frequency of occurrence (number of pellets containing that order divided by the total number of pellets in the species sample) based on NGS results of this study. Sample sizes (n) represent the number of pellets

opennotspecifiedNov 2017View details →
zenodo32/100

FIG. 3 in Diet determined by next generation sequencing reveals pest consumption and opportunistic foraging by bats in macadamia orchards in South Africa

FIG. 3. Variation of percentage occurrence of insect families in the diet from faecal pellet samples of M. midas collected on three occasions at two macadamia farms, Welgevonden (A, B) and Vlakfontein (C). Insect orders abbreviated: Blat. — Blattodea, Col. — Coleoptera, Dipt. — Diptera, Hemi. — Hemiptera, Neur. — Neuroptera, Orth. — Orthoptera

opennotspecifiedNov 2017View details →
zenodo32/100

FIG. 1 in Diet determined by next generation sequencing reveals pest consumption and opportunistic foraging by bats in macadamia orchards in South Africa

FIG. 1. Map of study area showing location of study area in South Africa and Limpopo Province (A) and detailed location of faecal pellet collection sites within the study area (B). Grey shading indicates the extent of vegetation types associated with the Soutpansberg Mts. Numbers represent localities as follows: 1) Farm Vlakfontein, 2–5) Farm Welgevonden, 6) Farm Laatsgevonden

opennotspecifiedNov 2017View details →
zenodo32/100

Supplementary material 1 from: Huang J, Leach H, Buffington M, Rothwell N, Wilson JK (2023) Resident parasitoids associated with Drosophilidae in Michigan tart cherry orchards and woodland edges. Journal of Hymenoptera Research 96: 485-494. https://doi.org/10.3897/jhr.96.103160

Endemic parasitoids associated with Drosophilidae in Michigan tart cherry orchards and woodland edges

opencc-zeroJun 2023View details →
ClinicalTrials.gov32/100

Phase 2 Platform Study in Patients With Advanced Non-Small Lung Cancer Who Progressed on First-Line Osimertinib Therapy (ORCHARD)

ClinicalTrials.gov study NCT03944772. IPD Sharing: YES. Countries: 9. Publications: 3.

controlledIPD-YESFeb 2026View details →
dryad32/100

Data from: Forest-associated understorey birds persist in agroforestry orchards within tropical rubber and oil palm landscapes

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publicSep 2025View details →
dryad32/100

Data from: Management trade-offs on ecosystem services in apple orchards across Europe: direct and indirect effects of organic production

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publicMar 2019View details →
dryad32/100

Data from: Divergence in calls but not songs in the orchard oriole complex: Icterus spurius and I. fuertesi

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publicAug 2015View details →
dryad32/100

Data from: Organic management in apple orchards: higher impacts on biological control than on pollination

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publicJul 2019View details →
dryad32/100

Data from: The challenge of accurately documenting bee species richness in agroecosystems: bee diversity in eastern apple orchards

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publicJun 2016View details →
dryad32/100

Preserving wintering frugivorous birds in agro‐ecosystems under land use change: Lessons from intensive and super-intensive olive orchards

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publicOct 2021View details →
dryad32/100

Data from: Using semidefinite programming to optimize unequal deployment of genotypes to a clonal seed orchard

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publicSep 2013View details →
dryad32/100

Data from: Effectiveness of vole control by owls in apple orchards

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publicNov 2019View details →
dryad32/100

Data from: Decrease in diversity and changes in community composition of arbuscular mycorrhizal fungi in roots of apple trees with increasing orchard management intensity across a regional scale

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publicJan 2015View details →
dryad32/100

Data from: Genetic diversity and structure of Lolium perenne ssp. multiflorum in California vineyards and orchards indicates potential for spread of herbicide resistance via gene flow

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publicMar 2017View details →

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Allen Brain Atlas

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Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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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.

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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
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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.

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Last verified 2026-04-29Open record