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1,342 results for “pest”
Interactions between bats and agricultural insect pests worlwide
<p>This database illustrates the interactions between bats and agricultural insect pests detected conducting a systematic review in October 2022, entitled "<strong>Pest suppression by bats and management strategies to favour it: a global review</strong>", to be published in the journal Biological Reviews.</p> <p>Methodology applied:</p> <p>We compiled a comprehensive list of agricultural insect pests occurring in temperate and tropical regions. Since no more recent public documents or published lists were available, we extracted the main agricultural insect pests cited in Hill (1983, 1987). Note that species might be considered pests in certain regions while not in others, meaning that this comprehensive list will need careful review by entomologists and local or regional experts for use in agricultural management.</p> <p>We assembled a first list of 1,237 insect pest species or genera extracted from Hill (1987, 1983). We then conducted a literature search in the ISI Web of Science using the R package wosr. We searched for any indexed document containing the following terms in the topic field: "pest species name" AND "bat*", where ‘pest species name’ refers to each of the 1237 species. After the first check of the articles found, we added 562 new pest species to the first list, which were not included in Hill (1987, 1983), but were mentioned in the papers found. Thus, the updated list consisting of 1799 insect pest species was used again to perform the same literature search with the R package wosr. In addition, we also performed three literature searches including the following terms: (i) "bat" or "bats", "diet*", and "insect*"; (ii) "bat" or "bats", "predat*", and "insect*"; (iii) "bat" or "bats", "diet*", and "arthropod*". We identified a total of 1125 articles, of which we retained only those that identified bat prey at the genus or species level (N = 95).</p> <p>Predator - prey interactions were extracted from the articles reviewed and added in this data set, showing each bat species with the insect pest species it consumed, as well as the method used to confirm predation.</p>
Ant populations and Pest suppression at the Kellogg Biological Station, Hickory Corners, MI (2018)
Dataset Abstract Data supporting the paper Helms IV, J. A., S. E. Ijelu, B. D. Wills, D. A. Landis, and N. M. Haddad. 2020. Ant biodiversity and ecosystem services in bioenergy landscapes. Agriculture, Ecosystems and Environment 290:106780 https://doi.org/10.1016/j.agee.2019.106780 The data tables document mortality of pest insect eggs in vertebrate exclosures, as well as ant species and the number of ant workers captured in pitfall traps, during the 2018 growing season in LTER forest plots, the Biofuel Cropping System Experiment (BCSE) plots, and the GLBRC Scale-up Experiment. original data source http://lter.kbs.msu.edu/datasets/188
Dataset of the paper entitled methods for high-throughput screening of novel agents against the maize pest, Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae)
<p>Title: Methods for high-throughput screening of novel agents against the maize pest, Diabrotica virgifera virgifera (Coleoptera: Chrysomelidae) </p> <p>Authors: Sri Ita Tarigan, Gyorgy Turoczi, Jozsef Kiss, Stefan Toepfer</p> <p>Abstract: <br>The western corn rootworm, <em>Diabrotica virgifera virgifera</em> (Coleoptera: Chrysomelidae), poses a significant threat to maize crops in North America and Europe, necessitating development of novel, effective, and less disruptive crop protection agents. With recent bans on key insecticides and concerns about overuse of remaining options, there is an urgent need for accessible and comparable screening methods. We propose comparative high-throughput screening methods against the eggs, larvae and adults of this pest, emphasizing the importance of suitable positive controls tailored to the specific bioassay types. We evaluated seven common insecticides (imidacloprid, clothianidin, acetamiprid, novaluron, cypermethrin, chlorpyrifos-methyl, spinosad) against eggs, larvae, and adults as potential positive controls for each of the proposed assay methods. Dipping assays with ready-to-hatch eggs revealed several ingredients to cause mortality; but imidacloprid might be most suitable as a positive control due to its robust dose-response in reducing egg hatching and causing mortality of hatching neonates. Larval bioassays using artificial diet overlay assays revealed mortality caused by all insecticides, with imidacloprid and acetamiprid exhibiting best dose-mortality response curves as well as sublethal effects. Adult bioassays using artificial diet-core overlay assays revealed mortality caused by all insecticides, with cypermethrin or acetamiprid exhibiting best dose-mortality response curves. The provided ED <sub>50</sub>, ED <sub>80</sub> values, and dose-response equations offer valuable insight for researchers in selecting appropriate positive controls for screening new crop protection agents or assessing resistance levels against different life stages of this pest.</p> <p>Data:</p> <p>The data file is related to the screening of commercial insecticides against eggs, first instar larvae (L1) and adults of the maize pest, <em>Diabrotica virgifera virgifera</em> using standard bioassays. We are proposing comparative high-throughput screening methods against the eggs, larvae and adults of this maize pest. This includes the crucial aspect of suitable positive controls tailored to the specific bioassay type. We evaluated seven common insecticides (imidacloprid, clothianidin, acetamiprid, novaluron, cypermethrin, chlorpyrifos-methyl, spinosad) against eggs, larvae, and adults as potential positive controls for each of the proposed assay method. To access effects and dose-responses of commonly used insecticides on eggs, we applied standard screening methods under controlled semi-sterile conditions.</p> <p>For egg bioassays, eggs were transferred to the 200 ml of treatments in the eppendorf tubes and then soaked for 1 hour. Then 20µl with 10 to 20 eggs were pipetted onto a filter paper in a petri dish (150 mm×25 mm). Then 100 µl of sterilized tap water was added for moisture. The pipette tip was replaced between treatments. The eggs been transferred were counted per filter paper and dish (15± 8). The eggs were then incubated in the dishes at 23-25<sup>0</sup>C for 7 days, when the experiment was terminated. Egg hatching, mortality of newly hatching larvae, and days until start of egg hatching were observed under stereo microscope and recorded. Data were collected at 1,3, 5 and 7 days after treatments.</p> <p>To assess the effect and dose-responses of commonly used insecticides on neonates of <em>D. v. virgifera</em>, we applied artificial diet-overlay bioassays under controlled semi-sterile conditions. Each insecticide was prepared in at least six concentrations. Each bioassay consisted of 3 to 6 polystyrene plates of 96 wells each (07-6096 of Biologix Ltd., USA, or Costar 3917 of Corning Inc., USA). Each well had a volume of 330 µl, with a diameter of 5 mm, a height of 10 mm, and a surface area of 0.34 cm². 190 µl of the diet were pipetted into each 330 µl well, filling each to approximately 2/3<sup>rd </sup>of its capacity. Plates containing the diet were left to dry in a laminar flow cabinet for 45 minutes and then stored overnight at temperatures ranging from 3 to 5°C. The following day, treatments were applied. This is, 17 µl of a treatment was applied to the 0.34 cm<sup>2</sup> diet surface reaching good coverage and therefore forcing the after-placed larvae to feed through (10 to 100 µl pipette Biohit TM Proline). Each treatment was applied to 8 wells per plate. Following application, the plates were allowed to dry for a duration of 1 to 1.5 hours and were subsequently cooled for 1 hour in a refrigerator set at temperatures between 23 to 25°C. Each well received one neonate larva, carefully placed on the diet surface using a fine artist brush. A vigorous and visibly healthy larva was selected, lifted from the end of the abdomen with the brush, maneuvered towards a well surface, and allowed to crawl off the brush onto the diet. To avoid systematic errors, larvae were not arranged in treatment column order but rather in a rectangular pattern. After every 12 individual larvae, the brush was cleaned using 70% ethanol followed by sterile tap water. The filled plate was sealed with an optically clear adhesive qPCR seal sheet (#AB-1170, Termo Scientific, USA, or #BS3017000, Bioleader, USA), enabling data assessments without the need to open the plate. Four to five holes were carefully made with fine 00-insect pins into the seal per well to facilitate aeration. The plates, housing the larvae, were then incubated in a dark, ventilated incubator at a temperature of 23-25 °C and a relative humidity of 50 to 90% for a period of 5 days. We assessed mortality and stunting larvae within 3 and 5 days. </p> <p>To access the effect and dose-responses of common insecticides on <em>D.v.virgifera</em> adults, artificial diet-overlay bioassays with different doses were performed under controlled, semi-sterile conditions. Each insecticide was prepared in at least six concentrations. Active ingredients as specified on the product labels underwent serial dilutions using sterile tap water. Sterilized tap water was used as untreated control. In detail, each bioassay consisted of 6 polystyrene plates of 6 wells each (Eppendorf® 0030720016). Each treatment was applied to 3 wells of each plate per bioassay. The adult diet for a bioassay had been prepared 1-7days before treatment and adult infestation. The diet was prepared under semi-sterile conditions. The diet was poured out to 5-6 sterile 11 mm Petri dishes. The plates with diet were allowed to dry for up to 15 minutes under laminar flow cabinet then stored at 3 to 5°C overnight.The following day, a core of the diet was initially transferred to each well using flamed iron core-cutter (1 cm diameter) under a laminar flow. A core diet was placed each of the 6 wells of the plates. Approximately 40 µl of the treatments were then applied across the surface of diet core (0.34 cm<sup>3</sup>). The following day, a core of the diet was initially transferred to each well using flamed iron core-cutter (1 cm diameter) under a laminar flow. A core diet was placed each of the 6 wells of the plates. Approximately 40 µl of the treatments were then applied across the surface of diet core (0.34 cm<sup>3</sup>). Adult were subsequently transferred from the rearing cage into the wells of the 6-well plates containing the diet and treatments using a tube aspirator. For ease of transfer, the adults were cooled in a fridge for 4 to 7 minutes. Each well plate received 3 to 4 adults. Plates were sealed and incubated at 23-25<sup>0</sup>C, 50–90% r.h, L: D 12:12. Adult mortality were recorded on days 1,3, 5, 7 of experiment. </p> <p>To allow comparisons between experiments, data were standardized to the data of the corresponding negative control, usually sterilized tap water, as follows: standardized data = 100 × (data in negative control - data in treatment)/maximum (data in control or in treatment). The distributions of the data were investigated using histograms and QQ normal and detrended normal probability. Skewness and kurtosis of residuals was also observed for normality of influences of treatments on eggs, neonates, or adults. Equality of variances was assessed using Levene’s test. Multiple comparisons were performed using the Tukey HSD post hoc test for data with equal variances and the Games-Howell post hoc test for data with unequal variances. For each tested insecticide, linear and logarithmic regression models were fit to the dose-response data. In case of significant linear or logartimic relathionships, doses leading to 50% or 80% of relative effects (ED <sub>50,80</sub>) were calculated. </p> <p>The raw data as well as the standardised data are available as a csv file on zenodo. </p> <p> </p> <p> </p>
Dataset: Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens
<p>This dataset is related to "<em>Relation of pest insect-killing and soilborne pathogen-inhibition abilities to species diversification in environmental Pseudomonas protegens</em>" and contains all the data obtained from insect experiments and plant-pathogen inhibition assays, as well as the code used for phylogenetic and Biolog anaylsis. </p>
Dataset for "Best organic farming deployment scenarios for pest control: a modeling approach" V3
<p>Organic Farming (OF) has been expanding recently in response to growing consumer demand and as a response to environmental concerns. The area under OF is expected to further increase in the future. The effect of OF expansion on pest densities in organic and conventional crops remains difficult to predict because OF expansion impacts Conservation Biological Control (CBC), which depends on the surrounding landscape context. In order to understand and forecast how pests and their biological control may vary during OF expansion, we modeled the effect of spatial changes in farming practices on population dynamics of a pest and its natural enemy. We investigated the impact on pest density and on predator to pest ratio of three contrasted scenarios aiming at 50% organic fields through the progressive conversion of conventional fields. Scenarios were 1) conversion of Isolated conventional fields first (IP), 2) conversion of conventional fields within Groups of conventional fields first (GP), and 3) Random conversion of conventional field (RD). We coupled a neutral spatially explicit landscape model to a predator-prey model to simulate pest dynamics in interaction with natural enemy predators. The three OF expansion scenarios were applied to nine landscape types differing in their proportion and fragmentation of semi-natural habitat. We further investigated if the ranking of scenarios was robust to pest control methods in OF fields and pest and predator dispersal abilities.</p> <p>We found that organic farming expansion affected more predator densities than pest densities for most landscape types. The impact of OF expansion on final pest and predator densities was also stronger in organic than conventional fields and in landscapes with large proportions of highly fragmented semi-natural habitats. Based on pest densities and the predator to pest ratio, our results suggest that a progressive organic conversion with a focus on isolated conventional fields (scenario IP) could help promote CBC. Careful landscape planning of OF expansion appeared most necessary when pest management was substantially less efficient in organic than in conventional crops, and in landscapes with low proportion of semi-natural habitats.</p> <p><strong>This dataset contains simulation outputs and the R script that was used to describe, display and analyse data. The model itself can be found at <a href="https://doi.org/10.17605/OSF.IO/Z2QCX">https://doi.org/10.17605/OSF.IO/Z2QCX</a></strong></p> <p><strong>Please note that this is the third version of this dataset, following recommendations from the PCI Ecology reviewers and editor.</strong></p>
A Deep Learning Dataset for Tomato Pest Leafminer TUTA ABSOLUTA
<p>The images of tomato leafminer (<em>Tuta absoluta</em>) were taken in in-house plots between August 2018 and May 2019 in Arusha, Tanzania. Under net-house that were controlled from other others. <em>T.absoluta</em> larvae were inoculated on the commonly grown tomato varieties at the early growth stage (herein, on the second day after transplanting). The images were taken for the first 2 weeks after inoculation. Images captured the canopy of the plants. </p> <p><strong>File Description</strong><br> All Images are in the <strong>.zip</strong> files; "dataset_1_H.zip" has 1926 Images, dataset_1_NH.zip has 325 Images, dataset_2 .zip has 3482 Images and the files labels are in "file_labels.csv" the image file name in column "FileName" and respective label in column "Label", labels meaning "1" refer to healthy (plants not inoculated with <em>T.absoluta</em> larvae and "2" refer to <em>T.absoluta</em> affected plants. A total of 4341 image files are labelled. </p> <p> </p>
Can the botanical azadirachtin replace phased-out soil insecticides in suppressing the soil insect pest Diabrotica virgifera virgifera ?
<p><strong>Can the botanical <em>azadirachtin</em> replace phased-out soil insecticides in suppressing the soil insect pest <em>Diabrotica virgifera virgifera </em>?</strong></p> <p><strong>Background</strong></p> <p>Due to recent bans on the use of several soil insecticides and insecticidal seed coatings, soil-dwelling insect pests are increasingly difficult to manage. One example is the western corn rootworm (<em>Diabrotica virgifera virgifera</em>, Coleoptera: Chrysomelidae), a serious root-feeder of maize (<em>Zea mays</em>). We investigated whether the less problematic botanical <em>azadirachtin</em>, widely used against above-ground insects, could become an option for the control of this soil insect pest.</p> <p><strong>Methods</strong></p> <p>Artificial diet-based bioassays were implemented under standard laboratory conditions to establish lethal dose curves for the pest larvae. Then, potted-plant experiments were implemented in greenhouse to assess feasibility and efficacy of a novel granular formulation of <em>azadirachtin </em>under more natural conditions and in relation to standard insecticides.</p> <p><strong>Results</strong></p> <p>Bioassays in three repetitions revealed a 3-day LD<sub>50</sub> of 22.3 µg <em>azadirachtin</em> per ml which corresponded to 0.45 µg per neonate of <em>D. v. virgifera </em>and a 5-day LD<sub>50</sub> of 19.3 µg per ml or 0.39 µg per first to second instar larva. No sublethal effects were observed. The three greenhouse experiments revealed that the currently proposed standard dose of a granular formulation of 38 g<em> azadirachtin </em>per hectare for in-furrow application at sowing is not enough to control <em>D. v. virgifera </em>or to prevent root damage. At 10x standard-dose total pest control was achieved as well as the prevention of most root damage. This was better than the efficacy achieved by <em>cypermethrin</em>-based granules and comparable to <em>tefluthrin</em>- granules, or <em>thiamethoxam</em> seed coatings. The ED<sub>50</sub> for suppressing larval populations were estimated at 92 g <em>azadirachtin</em> per ha, for preventing heavy root damage 52 g /ha and for preventing general root damage 220 g /ha.</p> <p><strong>Conclusions</strong></p> <p>There seems clear potential for the development of neem-based botanical soil insecticides for arable crops such as maize. They might become, if doses are increased and more soil insecticides phased out, a promising, safer solution as part of the integrated pest management toolkit against soil insects.</p>
Dataset Natural plant disease suppressiveness in soils extends to insect pest control
<p>This dataset is related to the study "<strong>Natural plant disease suppressiveness in soils extends to insect pest control</strong>" (Harmsen et al., 2024) and contains the raw data described therein. </p> <p>Sequencing data used in this study has been deposited in the NCBI Sequence Read Archive under the BioProject number <a href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1075215/">PRJNA1075215</a>.</p> <p>The scripts used to analyze the data generated in the study are available at <a href="https://github.com/nhrmsn/SuppressSoil-Data">GitHub</a>. </p>
Data and Code for: Multiscale habitat mediates pest reduction by birds in an intensive agricultural region
<p>Associated data and analyses code for<em> </em>the publication:</p> <p><strong>Heath, Sacha K. and R. F. Long. 2019. Multiscale habitat mediates pest reduction by birds in an intensive agricultural region. Ecosphere 10(10):ecs2.2884. DOI: 10.1002/ecs2.2884</strong></p> <p>The home directory folder <em>Heath_Long_2019_data_code</em> contains a metadata.txt file describing entire contents and an Rstudio Project (<em>Heath_Long_2019_data_code</em>)<em> </em>comprised of four Rstudio Notebooks. Each notebook refers to data and output files from its associated folder(s):<br> <em>./appendix_s1_tabs2_tabs4.Rmd<br> ./pca_data/ <br> ./bird_analyses.Rmd<br> ./bird_data/<br> ./predation_analyses.Rmd<br> ./predation_data/<br> ./predation_data/predation_models/<br> ./predation_analyses_nocage.Rmd <br> ./predation_data/<br> . /predation_data/uncaged_predation_models/</em></p> <p> </p>
Video Series: Integrated Pest Management focusing on disease control in cereals
<p>Welcome to this video series on IPM, focusing on disease control in cereals. </p> <p>The challenge of IPM is to make the control methods we use appropriate to the circumstances, and to balance between the productivity of the crop and minimising the impact on the environment. The control decisions we make on one field or in one season may not be appropriate in another set of circumstances – there is no ‘blue print’. In these videos we delve into the physiology of the crop, the epidemiology of the diseases and how different control methods work. By understanding the biology of the systems we're trying to control, we're better equipped to make appropriate decisions. Going into depth means we can’t cover all aspects of IPM. In practice, decisions about disease control are being made alongside decisions about invertebrate pests and weeds, and in the wider context of integrated crop management. In the UK, information on those topics is available from organisations such as LEAF, AHDB and the Voluntary Initiative. Nevertheless, disease control is still a big topic, so we have broken it down into bite size chunks - although each video is still a pretty substantial bite and will need some digesting.</p> <p>The videos can be viewed in any order that interests you, but they'll make most logical sense viewed in the order in the menu.</p> <p>Links to the videos can be found in the summary document. </p> <p>PDF versions of the video presentations are provided. </p>
Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps
<p><strong>The dataset<br></strong></p> <p>The Pest Sticky Traps (PST) dataset is a collection of yellow chromotropic sticky trap pictures specifically designed for training/testing deep learning models to automatically count insects and estimate pest populations.</p> <p>Images were manually annotated by some experts of the Department of Agriculture, Food and Environment of the University of Pisa (Italy) by putting a dot over the centroids of each identified insect. Specifically, we labeled insects as belonging to the category “whitefly” considering two different species, i.e., the sweet potato whitefly (<em>Bemisia tabaci</em>) (Gennadius) and the greenhouse whitefly (<em>Trialeurodes vaporariorum</em>) (Westwood).</p> <p>The dataset comprises two subsets:<br>- a subset we suggest using for the training/validation phases (contained in the `train/` folder)<br>- a subset we suggest using for the test phase (contained in the `test/` folder)</p> <p>Annotations of the two subsets are contained in `train/annotations.csv` and `test/annotations.csv`, respectively. They have the following columns:<br>- *imageName* - filename of the image containing the whiteflies,<br>- *X,Y* - 2D coordinates of the whitefly in the image space,<br>- *class* - class index of the insect (always 0 in this dataset).</p> <p> </p> <p><strong>Citing our work</strong></p> <p>If you found this dataset useful, please cite the following paper</p> <blockquote> <pre>@inproceedings{CIAMPI2023102384,<br> title = {A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps},<br> journal = {Ecological Informatics},<br> volume = {78},<br> pages = {102384},<br> year = {2023},<br> issn = {1574-9541}, doi = {10.1016/j.ecoinf.2023.102384}, url = {https://www.sciencedirect.com/science/article/pii/S1574954123004132}, year = 2023, author = {Luca Ciampi and Valeria Zeni and Luca Incrocci and Angelo Canale and Giovanni Benelli and Fabrizio Falchi and Giuseppe Amato and Stefano Chessa}, } </pre> </blockquote> <p>and this Zenodo Dataset</p> <blockquote> <pre>@dataset{ciampi_2023_7801239, author = {Luca Ciampi and Valeria Zeni and Luca Incrocci and Angelo Canale and Giovanni Benelli and Fabrizio Falchi and Giuseppe Amato and Stefano Chessa}, title = {Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps}}, month = apr, year = 2023, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.7801239}, url = {<a href="https://doi.org/10.5281/zenodo.7801239">https://doi.org/10.5281/zenodo.6560823</a>} } </pre> </blockquote> <p> </p> <p><strong>Contact Information</strong></p> <p>If you would like further information about the dataset or if you experience any issues downloading files, please contact us at <a href="mailto:mobdrone@isti.cnr.it">luca.ciampi@isti.cnr.it</a></p> <p> </p> <p> </p>
Data from: Deciphering host-parasitoid interactions and parasitism rates of crop pests using DNA metabarcoding
Open the record for dataset details and reuse information.
Figure 9 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 9. Accumulated mortality of Poecilocloeus coffeaphilus nymphs with a strain of Metarhizium acridum by the immersion method (T1) and spraying (T2), spraying with a commercial formulation of Metarhizium anisopliae (T3) and control treatment with water (T4).
Figure 7 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 7. Damage caused by adults of Poecilocloeus coffeaphilus n. sp. on coffee plants. A) Close-up of leaf damage. B) Scrapings on the bark of stems and branches. C) Damage of ripe fruit. D-E) Damage of unripe and near ripe fruits. F) Fruits with the pulp consumed. G) Coffee fruits with the exocarp and pulp completely eaten off and the grains exposed.
Figure 5 in A new Colombian pest species of the genus Poecilocloeus Bruner (Orthoptera: Acrididae: Proctolabinae) on coffee, with a key to the Neotropical species
Figure 5. Different stages of development of Poecilocloeus coffeaphilus n. sp. A) First instar. B) Second instar. C) Third instar. D) Fourth instar. E) Fifth instar. F) Sixth instar. G) Adult male. H) Adult female.
Figure 4 in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 4. Phorodon humuli (Schrank). a) Apterous vivipara photomicrograph. b) Antennal segments II–VI. c) Siphunculus. d) Head and antennal segment I (left side dorsum; right side venter). e) Cauda dorsum.
Figure 1. Phorodon cannabis Passerini. a in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 1. Phorodon cannabis Passerini. a) Apterae with color form exhibited indoors and outdoors through midsummer. Photograph taken on August 4, 2017. b) Hemp leaf heavily infested with P. cannabis. Photograph taken on September 11, 2017. c) Mixed stages, including alate forms. Photograph taken on August 28, 2017. d) Aphids developing on stem of hemp. Photograph taken on September 31, 2017.
Figure 2. Phorodon cannabis Passerini. a in Phorodon cannabis Passerini (Hemiptera: Aphididae), a newly recognized pest in North America found on industrial hemp
Figure 2. Phorodon cannabis Passerini. a) Apterous vivipara photomicrograph. b) Antennal segments II–VI. c) Siphunculus. d) Head and antennal segment I (left side dorsum; right side venter). e) Cauda dorsum. f) Enlargement of dorsal abdominal spatulate setae.
Fig. 1 in Is the Egyptian fruit-bat Rousettus aegyptiacus a pest in Israel? An analysis of the bat's diet and implications for its conservation
Fig. 1. Monthly mean number of droppings (with standard error bars) of Rousettus aegyptiacus in Nachash and Rakefet caves during 1994 and 1995. Samples collected from three 1 m2 sheets during 48 h each month.
Research4Life Landscape and Situation Analysis - Global Megatrends PEST Analysis
<p>A PEST infographic summarising the key global megatrends relevant to research and scholarly communication, as identified in the report 'Research4Life Landscape and Situation Analysis' prepared by Research Consulting for the Research4Life partnership.</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.