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352 results for “Bee nesting”
Data from: Linking pollen foraging of megachilid bees to their nest bacterial microbiota
<p>Solitary bees build their nests by modifying the interior of natural cavities and they provision them with food by importing collected pollen. As a result, the microbiota of the solitary bee nests may be highly dependent on introduced materials. In order to investigate how the collected pollen is associated with the nest microbiota, we used metabarcoding of the ITS2 rDNA and the 16S rDNA to simultaneously characterize the pollen composition and the bacterial communities of 100 solitary bee nest chambers belonging to seven megachilid species. We found a weak correlation between bacterial and pollen alpha-diversity and significant associations between the composition of pollen and that of the nest microbiota, contributing to the understanding of the link between foraging and bacteria acquisition for solitary bees. Since solitary bees cannot establish bacterial transmission routes through eusociality, this link could be essential for obtaining bacterial symbionts for this group of valuable pollinators.</p>
Imidacloprid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee
<p>These are the raw data files is associated with the manuscript titled "Neonicotinoid exposure through soil and its effect on Anthophora plumipes, a ground-nesting bee".</p>
Fig. 33 in Nesting Biologies and Immature Stages of the Tapinotaspidine Bee Genera Monoeca and Lanthanomelissa and of Their Osirine Cleptoparasites Protosiris and Parepeolus (Hymenoptera: Apidae: Apinae)
Fig. 33. Cocoon of Lanthanomelissa betinae from which larva had been removed, lateral view. Fig. 34. Cocoon of Parepeolus minutus from which larva had bee removed, lateral view. Fig. 35. Inner surface of front end of cocoon of Lanthanomelissa betinae showing complete covering by pale feces. Fig. 36. Inner surface of front end of cocoon of Parepeolus minutus showing central area that is not coated by feces.
Fig. 1 in Nesting Biologies and Immature Stages of the Tapinotaspidine Bee Genera Monoeca and Lanthanomelissa and of Their Osirine Cleptoparasites Protosiris and Parepeolus (Hymenoptera: Apidae: Apinae)
Fig. 1. Nesting site of Monoeca haemorrhoidalis, showing dense ground cover in foreground. Fig. 2. Closeup of two nest entrances of same. Fig. 3. Main burrow of Monoeca haemorrhoidalis showing repetitive tamping impressions on shiny burrow wall. Fig. 4. Monoeca haemorrhoidalis, spiral inner surface of cell closure. Figs. 5, 6. Closure ends of cells of Monoeca haemorrhoidalis, showing plugged entrance holes made by females of Protosiris gigas; holes are filled by them as they depart.
Bee Tracker – an open-source machine-learning based video analysis software for the assessment of nesting and foraging performance of cavity-nesting solitary bees
<p>The foraging and nesting performance of bees can provide important information on bee health and is of interest for risk and impact assessment of environmental stressors. While radio-frequency identification (RFID) technology is an efficient tool increasingly used for the collection of behavioral data in social bee species such as honey bees, behavioral studies on solitary bees still largely depend on direct observations, which is very time-consuming.</p> <p>Here, we present a novel automated methodological approach of individually and simultaneously tracking and analyzing foraging and nesting behavior of numerous cavity-nesting solitary bees. The approach consists of monitoring nesting units by video recording and automated analysis of videos by a machine learning based software. This <i>Bee Tracker</i> software consists of four trained deep learning networks to detect bees that enter or leave their nest and to recognize individual IDs on the bees' thorax as well as the IDs of their nests according to their positions in the nesting unit.</p> <p>The software is able to identify each nest of each individual nesting bee, which permits to measure individual-based measures of reproductive success. Moreover, the software quantifies the number of cavities a female enters until it finds its nest as a proxy of nest recognition, and it provides information on the number and duration of foraging trips. By training the software on 8 videos recording 24 nesting females per video, the software achieved a precision of 96% correct measurements of these parameters.</p> <p>The software could be adapted to various experimental setups by training it to an according set of videos. The presented method allows to efficiently collect large amounts of data on cavity-nesting solitary bee species and represents a promising new tool for the monitoring and assessment of behavior and reproductive success under laboratory, semi-field and field conditions.</p>
FIG. 6 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 6. — Two views on the same rafter (sunggau muke with renak ngelandas; 28 March 2017). Credits: M. Rhomadona (A), N. Césard (B).
FIG. 5 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 5. — Rendap rabas, before (A) and after (B) being improved (November 2013). The arrows indicate the cuts in the vegetation. Credits: N. Césard.
FIG. 1 in An emic understanding of honey bees and their environment: attracting bee swarms to nest on rafters in Belitung, Indonesia
FIG. 1. — Hemispherical photographs of three rendap (in pale blue): direct (A), indirect (or semi-open) (B) and well (C) access paths. Credits: N. Césard.
FIGURES 12, 13 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES 12, 13. SEM micrographs of predefecating larva of Trichocolletes orientalis. 12. Front of head. 13. Close-up of mouthparts, noting huge down-curved labral tubercles and uncertain arrangement of spicules on maxilla as well as clear arrangement of labial palpi laterad of only slightly projecting salivary opening.
FIGURES 2, 3 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES 2, 3. Diagrams of mature larva of Leioproctus wanni. Head, frontal and lateral views. Scale bar = 2 cm.
FIGURES 9–11 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES 9–11. Diagrams of predefecating larva of Trichocolletes orientalis Batley and Houston. 9. Entire larva, lateral view. Scale bar = 2 cm. 10, 11. Head, frontal and lateral views.
FIGURES 21, 22 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES 21, 22. Microphotograph of head and body, lateral views, of a live postdefecating larva of Paracolletes crassipes, revealing texture and color as well as shape of integument.
FIGURES 14–16 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES 14–16. Diagrams of postdefecating larva of Paracolletes crassipes Smith. 14. Full body, lateral view. 15, 16. Head, frontal and approximate lateral views.
FIGURES. 4–8 in Descriptions of the Mature Larvae of Three Australian Ground-Nesting Bees(Hymenoptera: Colletidae: Diphaglossinae and Neopasiphaeinae)
FIGURES. 4–8. SEM micrographs of mature larva of L. wanni. 4, 5. Head frontal view and only approximate lateral view (note both left and right antennae visible). 6. Frontal view of mouthparts showing: (a) conspicuous pattern of spicules on labrum between labral tubercles; (b) elongate maxillary palpi; (c) recessed labial palpi; and (d) recessed and somewhat obscure salivary opening lacking lips. 7. SEM micrograph of left side of metasomal segments 5–9, showing projecting spiracles of segments 6–8. 8. Close-up of projecting spiracle.
FIGURE 3 in Trap-nesting bees and wasps (Hymenoptera, Aculeata) in a Semidecidual Seasonal Forest fragment, southern Brazil
FIGURE 3: Phenology of most common trap-nesting Aculeata in Parque Estadual São Camilo (Palotina, Paraná), (A) from September 2014 to March 2014, (B) from October 2014 to March 2015.
FIGURE 2 in Trap-nesting bees and wasps (Hymenoptera, Aculeata) in a Semidecidual Seasonal Forest fragment, southern Brazil
FIGURE 2: Trap nests in Parque Estadual São Camilo (Palotina, Paraná), (A) Centris analis, (B) Megachile susurrans, (C) Monobia angulosa, (D) Pachodynerus grandis, (E) Pachodynerus guadulpensis, (F) Zethus smithii. Scale bars: 1 cm.
Fig. 3 in Nest architectures of myrmecophilous stingless bees, Trigona sp. cfr. cilipes and Paratrigona sp., from Peruvian Amazon (Hymenoptera: Apidae, Apinae, Meliponini)
Fig. 3 – Sticky resin deposits between the outer layers of the Dolichoderus quadridenticulatus nest.
Fig. 4 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 4. Bee activity as indicated by the average number of Anthophora abrupta returning to the nesting site per minute at the mother and daughter nesting aggregations in 2012, 2013, and 2014. The error bars indicate standard error.
Fig. 2. The 1 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 2. The 1st daughter nesting aggregation of Anthophora abrupta established 10.3 km from the original nest site in Gainesville, Florida. It was created as a split from the mother nesting aggregation in Mar 2012. Photo: Jason R. Graham.
Fig. 3. A 2 in The potential management of a ground-nesting, solitary bee: Anthophora abrupta (Hymenoptera: Apidae)
Fig. 3. A 2nd daughter nesting aggregation of Anthophora abrupta established 35.7 km from the original nest site in Gainesville, Florida. It was created as a split from the mother nesting aggregation in Mar 2014. Photo: Amanda M. Ellis.
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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)
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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.
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.