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.
36
datasets available to search
ShareScore release 0.9.0
Dataset results
36 results for “bee size”
Individual-based body sizes of wild bees along elevational gradients on Mt. Kilimanjaro
<p><span>This dataset contains body size measurements of wild bees that were captured along elevational gradients on the southern slopes of Mt. Kilimanjaro (Tanzania) using standardized sampling methods (pan traps, transect walks). The dataset includes bee species identified at the species level as well as morphospecies. The bees were measured individually, meaning that intraspecific differences in body size are also represented. The intertegular distance (ITD) in millimeters was measured as a surrogate for body size.</span></p> <p><span>The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.</span></p>
Relaxation of purifying selection suggests low effective population size in eusocial Hymenoptera and solitary pollinating bees
<p>Data and results of the paper "Relaxation of purifying selection suggests low effective population size in eusocial Hymenoptera and solitary pollinating bees".</p> <p>- data_table_species.csv: contains life-history and geographical range descriptors, terminal branch length and genomic estimated values for each substitution category, for each species in the dataset. Contains results obtained with both the complete data set and the subsampled dataset with 88 species.</p> <p>- data_table_genes.csv: contains values of substitution count that are sums of the values obtained for every species in the alignment. Also contains the results of HyPhy RELAX analyses for each alignment.</p> <p>- data_table_genes_species.csv: contains estimated values for each substitution category for each species in each alignment. Contains results obtained with both the complete data set and the subsampled dataset with 88 species.</p> <p> </p>
Whole genome demographic models indicate divergent effective population size histories shape contemporary genetic diversity gradients in a montane bumble bee
<p>Understanding historical range shifts and population size variation provides important context for interpreting contemporary genetic diversity. Methods to predict changes in species distributions and model changes in effective population size (N<sub>e</sub>) using whole genomes make it feasible to examine how temporal dynamics influence diversity across populations. We investigate N<sub>e</sub> variation and climate-associated range shifts to examine the origins of a previously observed latitudinal heterozygosity gradient in the bumble bee <em>Bombus</em> <em>vancouverensis</em> Cresson (Hymenoptera: Apidae: <em>Bombus</em> Latreille) in western North America. We analyze whole genomes from a latitude-elevation cline using sequentially Markovian coalescent models of N<sub>e</sub> through time to test whether relatively low diversity in southern high-elevation populations is a result of long-term differences in N<sub>e</sub>. We use Maxent models of the species range over the last 130,000 years to evaluate range shifts and stability. N<sub>e</sub> fluctuates with climate across populations, but more genetically diverse northern populations have maintained greater Ne over the late Pleistocene and experienced larger expansions with climatically favorable time periods. Northern populations also experienced larger bottlenecks during the last glacial period which matched the loss of range area near these sites, however, bottlenecks were not sufficient to erode diversity maintained during periods of large N<sub>e</sub>. A genome sampled from an island population indicated a severe postglacial bottleneck, indicating that large recent post-glacial declines are detectable if they have occurred. Genetic diversity was not related to niche stability or glacial-period bottleneck size. Instead, spatial expansions and increased connectivity during favorable climates likely maintain diversity in the north while restriction to high elevations maintains relatively low diversity despite greater stability in southern regions. Results suggest genetic diversity gradients reflect long-term differences in N<sub>e</sub> dynamics and also emphasize the unique effects of isolation on insular habitats for bumble bees. Patterns are discussed in the context of conservation under climate change.</p>
Variation in North American bumble bee nest success and colony sizes under captive rearing conditions
<p>Of the 265 known bumble bee (<em>Bombus</em>) species, knowledge of colony lifecycle is derived from relatively few species. As interest in <em>Bombus</em> commercialization and conservation grows, it is becoming increasingly important to understand colony growth dynamics across a variety of species since variation exists in nest success, colony growth, and reproductive output. In this study, we documented successful nest initiation and establishment rates of colonies produced from wild-caught gynes, and created a timeline of colony development for fifteen western North American <em>Bombus </em>species captively reared from 2009 to 2019. Additionally, we assessed variation in colony size among five western North American <em>Bombus </em>species from 2015 to 2018. Nest initiation and establishment rates varied greatly among species, ranging from 5–76.1% and 0–71.8%, respectively. <em>Bombus griseocollis </em>had the highest rates of nest success across the eleven-year period, followed by <em>B. occidentalis, B. vosnesenskii, </em>and <em>B. huntii. </em>Further, we identified that colonies reared from two gynes had significantly higher nest initiation and establishment rates per nest box compared to those reared from a single gyne. Colony size also differed significantly among species with <em>B. huntii </em>and <em>B. vosnesenskii </em>producing more worker/drone cells than <em>B. griseocollis, B. occidentalis, </em>and <em>B. vancouverensis. </em>Additionally, gyne production differed significantly among species with <em>B. huntii </em>colonies producing more gynes than <em>B. vosnesenskii. </em>Results from this study increase knowledge of systematic nesting biology for numerous western North American <em>Bombus </em>species under captive rearing conditions, which can further improve rearing techniques available to conservationists and researchers.</p>
Fire is associated with positive shifts in bumble bee (Bombus vosnesenskii) body size and bee abundance in the Southern Sierra Nevada Mountains
Open the record for dataset details and reuse information.
Whole genome demographic models indicate divergent effective population size histories shape contemporary genetic diversity gradients in a montane bumble bee
Open the record for dataset details and reuse information.
Brain size predicts bees’ tolerance to urban environments
Open the record for dataset details and reuse information.
Mean body size predicts colony performance in the common eastern bumble bee (Bombus impatiens)
Prior studies suggest that both the mean and variation of worker size predict the performance of bumble bee colonies. The 'variation hypothesis' posits that colony performance increases with variation of worker body size due to more efficient division of labour within colonies. The 'mean size hypothesis' posits that colony performance increases with mean bumble bee size, as each individual’s efficiency tends to increase with body size. The present study tested these non-mutually exclusive hypotheses by establishing 62 Bombus impatiens Cresson (Hymenoptera, Apidae) nest boxes in 32 semi-natural savanna fragments within large-scale experimental landscapes in South Carolina (U.S.A.). Based on measurements of > 24 000 individuals and on colony growth over ca. 7 weeks, our results support the mean size hypothesis, not the variation hypothesis.
Economics Analysis of Small and Large Farm Size Honey Bee Sub-Sector in Chitwan District, Nepal
<p>This is an SPSS file that can be used for calculating various descriptive statistics and performing statistical tests such as t-tests and chi-square tests. Ranking of scale can also be carried out from these datasets.</p>
Data from: Integrating vital rates explains optimal worker size for resource return by bumble bee workers
1. Size-number trade-offs in reproduction are commonly observed in nature. Bumble bee (Bombus spp.) colonies produce workers that vary considerably in size. This variation suggests that colonies face potential size-number trade-offs when producing workers. 2. Here, we estimated size-based vital rates of Bombus vosnesenskii workers using colonies reared from wild caught queens. We conducted a mark-recapture study to estimate worker survival as a function of body size. We also collected data on pollen and nectar loads as well as foraging trips using a radio-frequency identification system to estimate daily resource return as a function of body size. We integrated survival and daily resource return to estimate lifetime resource collection and offset these estimates by the size-based worker production costs. 3. We found size-based trade-offs among workers of different sizes. Smaller workers had higher survival, but larger workers returned with more resources per day. The largest workers made slightly fewer foraging trips per day. 4. Overall, larger workers made the greatest lifetime contribution to both nectar and pollen collection. However, once the benefits of larger workers are offset by their higher production costs, intermediate-sized workers were the optimal for net resource contribution according to our models. Many previous studies have found that larger workers outperformed smaller workers with foraging and in-nest tasks, yet these studies have not integrated multiple fitness components or worker production costs to quantify net resource contribution towards colony growth. 5. Accounting for tradeoffs between costs and performance changed our conclusions about optimal body size from being large to being near the observed average. Similar approaches of integrating multiple vital rates may resolve apparently suboptimal life histories in other taxa.
Data from: Integrating vital rates explains optimal worker size for resource return by bumble bee workers
Open the record for dataset details and reuse information.
Wild bumble bee colony abundance, scaled by field size, predicts pollination services
Open the record for dataset details and reuse information.
Data from: Age-dependent hypopharyngeal gland size and protein content of stingless bee workers, Tetragonula pagdeni.
Open the record for dataset details and reuse information.
Data from: Thermal tolerance in the cellophane bee <em>Colletes inaequalis</em> reflects early spring adaptation and is independent of body size and sex
Open the record for dataset details and reuse information.
Data from: Host identity, nest quality, and parasitism strategy: influences on body size variation in parasitoid bees and wasps
Open the record for dataset details and reuse information.
Egg-size plasticity in Apis mellifera: honey bee queens alter egg size in response to both genetic and environmental factors
<p>Social evolution has led to distinct life-history patterns in social insects, but many colony-level and individual traits, such as egg size, are not sufficiently understood. Thus, a series of experiments was performed to study the effects of genotypes, colony size, and colony nutrition on variation in egg size produced by honey bee (<i>Apis</i> <i>mellifera</i>) queens. Queens from different genetic stocks produced significantly different egg sizes under similar environmental conditions, indicating standing genetic variation for egg size that allows for adaptive evolutionary change. Further investigations revealed that eggs produced by queens in large colonies were consistently smaller than eggs produced in small colonies, and queens dynamically adjusted egg size in relation to colony size. Similarly, queens increased egg size in response to food deprivation. These results could not be solely explained by different numbers of eggs produced in the different circumstances but instead seem to reflect an active adjustment of resource allocation by the queen in response to colony conditions. As a result, larger eggs experienced higher subsequent survival than smaller eggs, suggesting that honey bee queens might increase egg size under unfavorable conditions to enhance brood survival, and to minimize costly brood care of eggs that fail to successfully develop, and thus conserve energy at the colony level. The extensive plasticity and genetic variation of egg size in honey bees has important implications for understanding life history evolution in a social context and implies this neglected life history stage in honey bees may have trans-generational effects.</p>
Data from: Supplementing small farms with native mason bees increases strawberry size and growth rate
Pollination services, especially those of bees, play a vital role in agriculture. Declining honeybee populations require us to find alternative solutions for sustainable agriculture. Native bees are proving to be efficient pollinators. Mason bees (Osmia lignaria) provide valuable pollinator services for some woody orchard species, but their value as pollinators for herbaceous crops is largely untested. We assessed the effectiveness of O. lignaria supplementation on nine strawberry farms over two growing seasons. We specifically selected mason bees for this work because they emerge from cocoons in the springtime, when few other bees are available for pollination. Cocoons are easily deployed on farms and emerged bees have a small flight radius, so they remain localized. We placed cocoons on one side of each berry farm plot (our mason bee addition treatment) but not on the opposite side (our control). We tagged and monitored berries on nine farms throughout the growing season. We performed statistical comparisons of berries from the treatment and control for differences in berry growth rate and size. In addition, we supplemented farms with native bee homes constructed from three materials (bamboo, Phragmites and wood). This allowed us to determine whether adult mason bees would produce a subsequent generation of bees on farms and whether the bees had a preference for nest material type. Our work demonstrates that mason bees can be used successfully to pollinate herbaceous berry crops. We found that berry growth rate was significantly higher and berry volume was significantly larger for berries from the treatment relative to the control. We also found that adult bees successfully utilized the bee homes for laying the next generation of offspring and that bees colonized bamboo homes more than other home types. Synthesis and applications. Our results are the first to show that native mason bees (Osmia lignaria) can be used successfully to provide pollination services on strawberry farms. Their use results in the production of bigger berries and faster berry growth rates than managed honeybees alone. Mason bees overwinter (and can be purchased) in cocoons, offering great potential for efficient and effective pollination services, for a variety of agricultural applications across different geographical regions. The availability of suitable nesting sites and protection of subsequent generations of cocoons from wasp parasitization warrant future consideration.
Figure 1 in Using short-term surveys and mark-recapture to estimate diversity and population size of orchid bees in forest formations of the Brazilian savanna
Figure 1. Marking method used in the study of euglossine populations. (a) During all populational estimatives. Each geometric shape corresponds to the day when the PTT was collected. Square = 1st day; circle = 2nd day; pentagon = 3rd day; triangle = 4th day; diamond = 5th day. (b) During the samplings occurred simultaneously in seasonal semi-deciduous (ssf) and gallery forest (ssf). Square = 1st day; circle = 2nd day; pentagon = 3rd day; square combined with spot on the wing = 4th day; circle combined with spot on the wing = 5th day.
Egg-size plasticity in Apis mellifera: honey bee queens alter egg size in response to both genetic and environmental factors
Open the record for dataset details and reuse information.
Data from: Habitat enhancements rescue bee body size from the negative effects of landscape simplification
Open the record for dataset details and reuse information.
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.