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.
352
datasets available to search
ShareScore release 0.9.0
Dataset results
352 results for “Bee nesting”
Data from: Osmia3DNest – novel designed 3D printed artificial nest for solitary cavity-nesting bees
<p>The availability and appropriateness of nesting sites significantly influence the reproductive success and overall welfare of wild bees. Human-induced factors contribute to the destruction of natural nesting habitats. To address these limitations, innovative solutions such as the development of artificial nests, as indicated in recent studies, offer alternative nest sites to support wild bee populations. We designed the Osmia3DNest, a 3D printed standardized nest tube for solitary cavity-nesting bees, aiming to provide a safety for the environment life-long, time-saving, and biodegradable product that anyone can print. We proudly present the two Osmia3DNest models for mason bees – closed and open – using PLA filament. We demonstrate the effectiveness of Osmia3DNest on mason bee reproduction parameters compared with traditional reed nests. Osmia3DNest can be an alternative to the other artificial nests, which people can customize for their necessity depending on their place of living (rural or urban area), and they can also be washed and reused several times and then decomposed. Osmia3DNest holds potential for wildlife biologists, management of pollinators, and educational outreach, offering adaptability for different bee species and experimental needs.</p>
FIGURE 1 in Trap-nesting bees and wasps (Hymenoptera, Aculeata) in a Semidecidual Seasonal Forest fragment, southern Brazil
FIGURE 1: Trap nests installed on Parque Estadual São Camilo.
Large trees in tropical dry forest facilitate the presence of stingless bee nests (Apidae: Meliponini): the case of Ficus crocata
<p>[ESP]</p> <p>Este repositorio contiene archivos .csv y .r, de los datos se utilizaron para el análisis estadístico del artículo de Manzanarez-Villasana, Briseño-Sánchez, Lobo y Quesada </p> <p>[ENG]</p> <p>This repository contains .csv and .r files of the data used for the statistical analysis of the article by Manzanarez-Villasana, Briseño-Sánchez, Lobo y Quesada </p>
Fig. 14 in Biology of the Bee Canephorula apiformis and Its Cleptoparasite Melectoides bellus: Nesting Habits, Floral Preferences, and Mature Larvae (Hymenoptera, Apidae)
Fig. 14. Top of cocoon of M. bellus, external view, showing fecal material in situ.
Fig. 4 in Biology of the Bee Canephorula apiformis and Its Cleptoparasite Melectoides bellus: Nesting Habits, Floral Preferences, and Mature Larvae (Hymenoptera, Apidae)
Fig. 4. Landscape at Pismanta (Iglesia), San Juan Province, Argentina.
Fig. 2 in Nesting observation of the Sculptured Resin bee Megachile sculpturalis F. Smith, 1853 (Hymenoptera: Megachilidae) in Bulgaria
Fig. 2. Megachile sculpturalis female, Bulgaria, Varna City, 18.viii.2023.
Plant-Bee Pollen Interaction Networks Based on Epanthidium tigrinum Nests in Fortaleza, Brazil (2019-2020)
<p>This dataset contains detailed ecological data on the interactions between the solitary bee species <em>Epanthidium tigrinum</em> and various flowering plants in an urban area of Fortaleza, Ceará, Brazil. The data were collected from May 2019 to November 2020, focusing on pollen analysis from nests of <em>E. tigrinum</em> using black cardboard trap nests.</p> <p><strong>Data Includes:</strong></p> <ul> <li><strong>LOCALITY</strong>: Geographic location of the study.</li> <li><strong>BEE_SPECIE</strong>: The species of bee studied, exclusively <em>Epanthidium tigrinum</em>.</li> <li><strong>FLOWER_SPECIES</strong>: Identified plant species based on pollen grains found in the nests.</li> <li><strong>INTERACTION_FREQUENCY</strong>: The frequency of interactions between <em>E. tigrinum</em> and flowering plants, quantified through pollen presence across analyzed slides.</li> <li><strong>NESTING_PERIOD</strong>: Classification of the nesting periods into <strong>High Nesting Period</strong> (June to September) and <strong>Low Nesting Period</strong> (remaining months).</li> <li><strong>YEAR</strong>: The years of data collection (2019 and 2020).</li> </ul> <p><strong>Potential Uses:</strong> This dataset is valuable for researchers studying plant-pollinator interactions, urban ecology, and the role of solitary bees in ecosystem services. It can be utilized in ecological modeling, conservation planning, and understanding the dynamics of pollinator communities in urban settings. Additionally, it may aid in the assessment of the impact of urbanization on pollinator behavior and plant diversity.</p>
An organizing feature of bumble bee life history: worker emergence promotes queen reproduction and survival in young nests
<p>Bumble bee queens initiate nests solitarily and transition to living socially once they successfully rear their first cohort of offspring. Bumble bees are disproportionately important for early season pollination, and many populations are experiencing dramatic declines. In this system, the onset of the social stage is critical for nest survival, yet the mechanisms that facilitate this transition remain understudied. Further, the majority of conservation efforts targets the social stage of the bumble bee life cycle and do not address the solitary founding stage. We experimentally manipulated the timing of worker emergence in young nests of bumble bee (Bombus impatiens) queens to determine whether and how queen fecundity and survival are impacted by the emergence of workers in the nest. We found that queens with workers added to the nest exhibit increased ovary activation, accelerated egg laying, elevated juvenile hormone (JH) titres and also lower mortality relative to solitary queens. We also show that JH is more strongly impacted by the social environment than associated with queen reproductive state, suggesting that this key regulator of insect reproduction has expanded its function in bumble bees to also influence social organization. We further demonstrate that these effects are independent of queen social history, suggesting that this underlying mechanism promoting queen fecundity is reversible and short lived. Synchronization between queen reproductive status and emergence of workers in the nest may ultimately increase the likelihood of early nesting success in social systems with solitary nest founding. Given that bumble bee workers regulate queen physiology as we have demonstrated, the timing of worker emergence in the nest likely impacts queen fitness, colony developmental trajectories and ultimately nesting success. Collectively, our findings underline the importance of conservation interventions for bumble bees that support the early nesting period and facilitate the production and maintenance of workers in young nests.</p>
Figure 1. A in What do we know about Neotropical trap-nesting bees? Synopsis about their nest biology and taxonomy
Figure 1. A generalized bee trap-nest architecture. At the left is the first cell made. The dark grey indicates food objects for the larvae (white). On the right is the last cell built with presence of a vestibular cell being variable.
FIGURES 78–80 in Nesting and Developmental Biology of the Cleptoparasitic Bee Stelis ater (Anthidiini) and Its Host, Osmia chalybea (Osmiini) (Hymenoptera: Megachilidae)
FIGURES 78–80. Last larval instar of Osmia
FIGURES 23–29 in Nesting and Developmental Biology of the Cleptoparasitic Bee Stelis ater (Anthidiini) and Its Host, Osmia chalybea (Osmiini) (Hymenoptera: Megachilidae)
FIGURES 23–29. SEM micrographs of cocoons
FIGURE 33 in Nesting Biologies and Mature Larvae of Oxaeine Bees (Apoidea: Andrenidae)
FIGURE 33. Abdomen of predefecating larva of Protoxaea gloriosa, lateral view.
Contrasting effects of vineyard type, soil and landscape factors on ground- versus above-ground nesting bees
<p><span>1. Agricultural intensification and abandonment of traditional agricultural practices are main drivers of current insect declines. The resulting loss of feeding and nesting opportunities has led to a decrease in pollinator populations like wild bees. While the restoration of floral resources has been widely implemented in wild bee conservation, nesting resources, particularly for ground-nesting species, are barely considered.</span></p> <p><span>2. We assessed wild bee diversity in a wine-growing area in Germany in 15 study sites along a soil gradient and evaluated whether wild bees were distinctly affected by different vineyard types (vertically oriented, terraced, abandoned), local conditions (e.g. shrub and flower cover), and landscape factors in response to divergent nesting needs (above-ground vs. ground-nesting). </span></p> <p><span>3. We found that wild bees responded more strongly to the availability of nesting sites than to flower resources. While ground-nesting bees were determined by the suitability of soil aspects for nesting irrespective of vineyard management types, above-ground nesting bees profited from vineyard abandonment and shrub encroachment in vineyard fallows and were enhanced by the availability of seminatural habitats (SNH) in the surrounding landscape. In contrast, floral resource availability in managed vineyards had only marginal effects on above-ground-nesting bees.</span></p> <p><span>4. Synthesis and applications: Life history traits like nesting strategies have long been neglected in wild bee conservation approaches, but proved to be highly relevant, especially for ground-nesting bees. For this, agri-environmental schemes can no longer solely focus on the restoration of floral resources, but should equally address nesting resources. Therefore, management efforts for enhancing wild bees in vineyard landscapes should aim at complementing nesting resources for ground-nesting bees (e.g. exposed bare ground patches) and above-ground-nesting bees (e.g. woody elements, hedges) in addition to floral resources. At the landscape level, conserving heterogeneous landscapes at a mixture of actively managed vineyards and semi-natural and woody elements is significant to maintain diverse bee communities. </span></p>
Figure 9 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 9. Pollinic resource used by C. alexandrei. (A-B) Taraxacum officinale: (A) Flower with adult female; (B) Pollen grains; (C-D) Bidens pilosa: (C) Flowers; (D) Pollen grains; (E-F) Senecio madagascariensis, (E) Flower with adult female; (F) Pollen grains. Scale: 100 µm.
Figure 8 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 8. Breeding cells of C. alexandrei. (A-B) Eggs on pollen mass in the cell; (C-F) Larvae: (C) Young larva; (D-E) Larvae in intermediate stage with pollen in their digestive tract; (F) Mature larva; (G-H) Pupae: (H) Young pupa; (G) Mature pupa.
Figure 6 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 6. Internal architecture of nests of C. alexandrei. (A) Nest 2; (B) Nest 8; (C) Nest 1; (D) Nest 4. ♀ and ♂ indicating on sex of adult bees, female and male respectively, ♀ + indicate dead females. Scale: 2 cm.
Figure 3. Nests C in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 3. Nests C. alexandrei in the earth banks. (A-B) aggregations of nests: (A) nesting site C; (B) nesting site Z: (C-F) Open nests entrances with traces of soil falling down the bank: (G-H) Close nests entrances with soil. Red arrows indicate the open entrances of the nest. Red circles indicate the close entrance of the nest.
Figure 5 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 5. Nests of C. alexandrei in the earth banks. (A) Female leaving the nest to perform foraging activity; (B, D-E) Female arrival and entry to the nest with a load of pollen in her hind femoral, tibial and ventral scopa and contact with the guardian female; (C) Female performing guarding activity in the entrance of the nest and waiting for the returns of another nest female′s; (F) Exit of the guardian female to forage just after the return of another adult female from the nest.
Figure 2 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 2. Nesting sites of C. alexandrei on earth banks in Colombia. (A) nesting site Z (Zipaquirá – San Jorge); (B) nesting site C (Cajicá – UMNG); (C-D) Red arrows indicate the entrance of the nest in the earth banks.
Figure 1 in Behavior and nest architecture of the bee Caenohalictus alexandrei (Hymenoptera, Halictinae)
Figure 1. Geographical location of the nesting sites. Green area represents the Cundinamarca department. Gray area corresponds to the municipality of Zipaquirá with the nesting site Z (red circle) and brown area corresponds to the municipality of Cajicá with the nesting site C (blue circle).
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.