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5,202 results for “Insects”
Fig. 1 in New scale insects (Homoptera: Coccinea) from the Cape Floristic Region
Fig. 1. South Africa, Western Cape Prov., banks of the Lower Palmiet River, the type locality of the new species.
Fig. 11 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 11. Photographs in natura by the authors. — A–B. Phryganistria heusii yentuensis subsp. nov. A. Mating pair. B. The first author with the 31.7 cm long ♀, Tay Yen Tu N.R., 9 Jul. 2013. — C–D. Phobaeticus trui sp. nov. C. ♂ and ♀, Bach Ma N.P., 13 Jul. 2013. D. ♂, Da Krong N.R., 7 Jul. 2011.
Fig. 10 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 10. Phryganistria spp., photographs in natura by the authors. — A–B. P. bachmaensis. A. ♀, Bach Ma N.P., 13 Jul. 2011. B. ♂, Da Krong N.R., 6 Jul. 2011. — C–D. P. heusii heusii. C. ♀, Tam Dao N.P., 28 Jul. 2011. D. ♂, Tam Dao N.P., 26 Jul. 2011. — E–H. P. tamdaoensis sp. nov. E. ♀, Tam Dao N.P., 29 Jul. 2011. F. ♂, Tam Dao N.P., 29 Jul. 2011. G. ♀, Da Krong N.R., 6 Jul. 2011. H. ♂, Tay Yen Tu N.R., 7 Jul. 2013.
Fig. 9 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 9. Phobaeticus trui sp. nov. — A–F. ♀. A. Habitus, dorsal view. B. Habitus, lateral view. C. Sternum VII and praeopercular organ. D. Mesofemur, lateral view. E. Apex of abdomen, lateral view. F. Apex of abdomen, dorsal view. — G–L. ♂. G. Habitus, dorsal view. H. Habitus, lateral view. I. Apex of abdomen, ventral view. J. Mesofemur, lateral view. K. Apex of abdomen, lateral view. L. Apex of abdomen, dorsal view. C–F, I–L = not to scale.
Fig. 8. Phryganistria heusii yentuensis subsp. nov. — A–F in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 8. Phryganistria heusii yentuensis subsp. nov. — A–F. ♀. A. Habitus, dorsal view. B. Habitus, lateral view. C. Sternum VII and praeopercular organ. D. Mesofemur, lateral view. E. Apex of abdomen, lateral view. F. Apex of abdomen, dorsal view. — G–H. Egg. G. Lateral view. H. Dorsal view. — I–N. ♂. I. Habitus, dorsal view. J. Habitus, lateral view. K. Apex of abdomen, ventral view. L. Mesofemur, lateral view. M. Apex of abdomen, lateral view. N. Apex of abdomen, dorsal view. C–H, K–N = not to scale.
Fig. 6 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 6. Phryganistria tamdaoensis sp. nov., captive reared, from Tam Dao N.P. (photographs by Dr Bruno Kneubühler). A. ♀, dorsal view. B. ♀, lateral view. C. ♂, lateral view. D. ♂, dorsal view. — E–F. Freshly hatched nymph. E. Dorsal view. F. Lateral view. — G–J. Egg. G. Dorsal view. H. Detail of operculum and capitulum. I. Polar area. J. Ventral view.
Fig. 7 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 7. Phryganistria tamdaoensis sp. nov. (photographs by Dr Bruno Kneubühler). — A–I. Captive reared, from Da Krong N.R. A. ♀, lateral view. B. ♀, ventral view. C. ♂, ventral view. D. Freshly hatched nymph. — E–H. Egg. E. Dorsal view. F. Detail of operculum and capitulum. G. Polar area. H. Ventral view. — I. ♂, head, pro- and mesothorax, lateral view. — J. Captive reared from Tam Dao N.P., ♂, head, pro- and mesothorax, lateral view.
Fig. 2 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 2. Baculonistria magna comb. nov. (Brunner von Wattenwyl, 1907). — A–E.Holotype ♀ (MNHN, photographs by Emmanuel Delfosse). A. Habitus, dorsal view. B. Habitus, lateral view. C. Apex of abdomen, lateral view. D. Apex of abdomen, dorsal view. E. Labels. — F–J. ♂ (MNHN, photographs by Emmanuel Delfosse). F. Habitus, dorsal view. G. Habitus, lateral view. H. Apex of abdomen, lateral view. I. Apex of abdomen, dorsal view. J. Labels. C–D, H–I = not to scale.
Fig. 1 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 1. Baculonistria chinensis (Brunner von Wattenwyl, 1907). — A–E. Paralectotype ♀ (MNHN, photographs by Emmanuel Delfosse). A. Habitus, dorsal view. B. Habitus, lateral view. C. Apex of abdomen, lateral view. D. Apex of abdomen, dorsal view. E. Labels. — F–J.Lectotype ♂ (©Natural History Museum Vienna, Orthoptera Image Collection, published with permission). F. Habitus, dorsal view. G. Habitus, lateral view. H. Apex of abdomen, lateral view. I. Apex of abdomen, dorsal view. J. Labels. C–D, H–I = not to scale.
Fig. 4 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 4. Phryganistria bachmaensis (Ta & Hoang, 2004) comb. nov., captive reared (photographs by Dr Bruno Kneubühler). A. ♀, ventral view. B. Freshly hatched nymph. C. ♂, dorsal view. D. ♂, ventrolateral view. — E–F. 3rd instar male nymph, apex of abdomen. E. Dorsal view. F. Lateral view. — G–H. 4th instar ♀ nymph, apex of abdomen. G. Dorsal view. H. Lateral view. — I–M. Egg. I. Ventral view. J. Lateral view. K. Detail of operculum and capitulum. L. Polar area. M. Detail of micropylar plate.
Fig. 3 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 3. Phryganistria bachmaensis (Ta & Hoang, 2004) comb. nov. — A–F. ♀. A. Habitus, dorsal view. B. Habitus, lateral view. C. Mesofemur, lateral view. D. Sternum VII and praeopercular organ. E. Apex of abdomen, dorsal view. F. Apex of abdomen, lateral view. — G–H. Egg. G. Dorsal view. H. Lateral view. — I–N. ♂. I. Habitus, dorsal view. J. Habitus, lateral view. K. Mesofemur, lateral view. L. Apex of abdomen, ventral view. M. Apex of abdomen, dorsal view. N. Apex of abdomen, lateral view. C–H, K–N = not to scale.
Fig. 5 in Giant Sticks from Vietnam and China, with three new taxa including the second longest insect known to date (Phasmatodea, Phasmatidae, Clitumninae, Pharnaciini)
Fig. 5. Phryganistria tamdaoensis sp. nov. — A–F. ♀. A. Habitus, dorsal view. B. Habitus, lateral view. C. Mesofemur, lateral view. D. Sternum VII and praeopercular organ. E Apex of abdomen, dorsal view. F. Apex of abdomen, lateral view. — G–H. Egg. G. Dorsal view. H. Lateral view. — I–N. ♂. I. Habitus, dorsal view. J. Habitus, lateral view. K. Mesofemur, lateral view. L. Apex of abdomen, ventral view. M. Apex of abdomen, dorsal view. N. Apex of abdomen, lateral view. C–H, K–N = not to scale.
Fig. 5 in Distribution patterns of selected insect populations on their host plants - an ecological study
Fig. 5: Determination of the grade of aggregation (k) according to two independent methods (see text) and illustration of the relationship between k and xm: (a) greenflies (first method), (b) sap beetles (first method), (c) greenflies (second method), (d) sap beetles (second method).
Fig. 4 in Distribution patterns of selected insect populations on their host plants - an ecological study
Fig. 4: Mean values and standard deviations of the x/s2 ratios for a more detailed differentiation of m the animal distribution patterns. According to the results greenflies and sap beetles colonizing the upper parts of the nettle are distinguished by aggregated distribution patterns, whilst sap beetles residing on the lower parts of the nettle are characterized by a more regular distribution. Mealybugs tend to develop random distribution patterns.
Data: Flower visiting insects of kiwifruit within New Zealand commercial orchard blocks sampled over two years in the Bay of Plenty, New Zealand
<p>These data are total counts of individual bee and non–bee insects observed visiting the flowers of kiwifruit (<em>Actinidia chinensis</em> var.deliciosa) (‘Hayward’) vines in three commercial orchards located in the Bay of Plenty Region of New Zealand (37° 46' 56" S; 176° 19' 10" E). Each block was located on a different farm and each separated by a distance of at least two kilometres and surveyed twice in two consecutive years. A total of 1181 insects were observed, 741 in the 2014 season and 460 in the 2015 season. Insects from four orders were recorded. The most abundant species were honey bees <em>Apis mellifera</em> (n= 1068; 90.4%), flower longhorn beetles <em>Zorion guttigerum</em> (n= 52; 4.4%), the native bee <em>Lasioglossum</em> <em>sordidum</em>/c<em>ognatum</em> (n= 12; 1.0%) and the hover fly <em>Melanostoma fasciatum</em> (n= 11; 0.9%) Others insects represented 3.2% of individuals observed (n=38). We present a table of counts of the insects observed.</p>
The FAIR-Device - a non-lethal and generalist semi-automatic Malaise trap for insect biodiversity monitoring: Proof of concept - Supplementary Material
<h3>Abstract</h3> <p>Field monitoring plays a crucial role in understanding insect dynamics within ecosystems. It facilitates pest distribution assessment, control measure evaluation, and prediction of pest outbreaks. Additionally, it provides important information on bioindicators with which the state of biodiversity and ecological integrity in specific habitats and ecosystems can be accurately assessed. However, traditional monitoring systems can present various difficulties, leading to a limited temporal and spatial resolution of the obtained information. Despite recent advancements in automatic insect monitoring traps, also called e-traps, most of these systems focus exclusively on studying agricultural pests, rendering them unsuitable for monitoring diverse insect populations. To address this issue, we introduce the Field Automatic Insect Recognition (FAIR)-Device, a novel non-lethal field tool that relies on semi-automatic image capture and species identification using artificial intelligence via the iNaturalist platform. Our objective was to develop an automatic, cost-effective, and non-specific monitoring solution capable of providing high-resolution data for assessing insect diversity. During a 26-day proof-of-concept evaluation, the FAIR-Device recorded 24.8 GB of video, identifying 431 individuals from 9 orders, 50 families, and 69 genera. While improvements are possible, our device demonstrated potential as a cost-effective, non-lethal tool for monitoring insect biodiversity. Looking ahead, we envision new monitoring systems such as e-traps as valuable tools for real-time insect monitoring, offering unprecedented insights for ecological research and agricultural practices.</p> <h3>Description of the data and file structure</h3> <p>This repository complements the publication <a href="https://www.biorxiv.org/content/10.1101/2024.03.22.586299v2" target="_blank" rel="noopener">"The FAIR-Device - a non-lethal and generalist semi-automatic Malaise trap for insect biodiversity monitoring: Proof of concept".</a> It contains the result data from the proof of concept field test of V1.0 of the FAIR-Device, conducted between July and August 2021 at the Thünen Institute of Agricultural Technology in Braunschweig. The repository comprises three compressed files (.zip):</p> <ul> <li><strong>FAIR-D_captures.zip</strong>: <ul> <li>Video captures from the field tests organized by recording day.</li> <li>Filenames indicating recording time (hh-mm-ss).</li> </ul> </li> </ul> <ul> <li><strong>FAIR-D_Tables&Code.zip</strong>: <ul> <li>Processed results from the obtained image captures, organized into: <ul> <li><strong>Monitoring2021_TotalPeriod.xlsx: </strong>Result table with taxonomic classifications, data analysis, and charts.</li> <li><strong>iNat_observations.xlsx: </strong>iNaturalist reviews analysis table.</li> <li><strong>R: </strong>code for generating article graphics.</li> </ul> </li> </ul> </li> </ul> <ul> <li><strong>FAIR-D_V1.0_3D_Models.zip</strong>: <ul> <li>Complete 3D design of the FAIR-D V1.0 in .stl format, organized into: <ul> <li><strong>3D_print_parts</strong>: 3D-printable parts with spatial coordinates for correct positioning in CAD software.</li> <li><strong>other_3Dparts</strong>: Non-printable parts, also in .stl format with spatial coordinates.</li> </ul> </li> </ul> </li> </ul> <p> </p> <p>NOTE: For visualizing the videos, we recommend <strong>VLC media player</strong> - <a href="https://www.videolan.org/vlc/">https://www.videolan.org/vlc/</a> </p>
Insect_floral_visitors_and_interactions_2022_data_Corsica_France
<p>Insect floral visitors of thermo-mediterranean shrubland maquis (Ajaccio, Corsica, France). This dataset (2025-09-23) is an update of the previous version, including new insect identifications and the addition of associated floral interactions (4012 occurences in 9 months in 2022). This dataset wa analysed in Maestracci, PY., Plume, L., de Zutter, C. & Gibernau, M. Seasonal and habitat variations of floral visitor networks in a Mediterranean maquis. Arthropod-Plant Interactions 19, 74 (2025). https://doi.org/10.1007/s11829-025-10179-5</p>
FIGURE 5 U in Automated segmentation of insect anatomy from micro-CT images using deep learning
FIGURE 5 U-Net implementation. The architecture of the used convolutional neural network (CNN) is an implementation of U-Net. It consists of two parts: two 3×3 convolutions followed by 2×2 max pooling and two 3×3 convolutions followed by 2×2 upconvolutions. Dropout was added to avoid overfitting. As a final step a 1×1 convolution is applied, resulting in an output map with two classes.
FIGURE 6 in Automated segmentation of insect anatomy from micro-CT images using deep learning
FIGURE 6 Network performance evaluation. High true positive rate (TPR) and low false positive rate (FPR) values for training (blue) and testing data (red) indicate the network's high generalizability.
FIGURE 10 in Automated segmentation of insect anatomy from micro-CT images using deep learning
FIGURE 10 Application of pipeline for other insect species. The brain textures of various insect species can be very similar to those of ants, facilitating the prediction by the network even without pretraining on specific insect brain scans. (a) Raw image of wasp head (original 1000 × 1000 px) and (b) its prediction without postprocessing (original 520 × 520 px), indicating satisfactory identification of the borders of the brain area. (c) 2D image of praying mantis head (520 × 520 px) and (d) the prediction of its brain area without postprocessing. Even though the network overpredicts some small pixel islands, it excludes from its prediction areas of the muscles, fibers, and cuticle.
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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.