Skip to main content
Powered by ShareScore

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.

393

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

393 results for “honey bees”

Learn how ShareScore rates datasets ↗
geo24/100

Meta-analysis of honey bee neurogenomic response to deformed wing virus

GEO Series GSE130785. Apis mellifera. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo24/100

Identification of Mblk-1-binding DNA regions in honey bee brains by ChIP-seq.

GEO Series GSE173409. Apis mellifera. 8 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
geo24/100

Pharmacological activation of the Integrated Stress Response triggers a transcriptional program centered on ribosome biogenesis and function in honey bees

GEO Series GSE165411. Apis mellifera. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2021View details →
geo24/100

Recipe for a busy bee: MicroRNAs in honey bee caste determination (microRNA array)

GEO Series GSE50457. Apis mellifera. 3 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenDec 2013View details →
geo24/100

Brain regions and molecular pathways responding to food reward type and value in honey bees

GEO Series GSE130701. Apis mellifera. 39 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2019View details →
geo24/100

Intronic Non-CG DNA Hydroxymethylation and Alternative mRNA Splicing in Honey Bees

GEO Series GSE50990. Apis mellifera; Apis mellifera scutellata. 8 samples. Type: Expression profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.

openGEO-OpenSep 2013View details →
geo24/100

Meta-analysis of honey bee neurogenomic response to deformed wing virus (drone)

GEO Series GSE130702. Apis mellifera. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo24/100

The gene vitellogenin affects microRNA regulation in honey bee (Apis mellifera) fat body and brain

GEO Series GSE44917. Apis mellifera. 24 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenMar 2013View details →
geo24/100

Searching beyond the streetlight: neonicotinoid exposure alters the neurogenomic state of worker honey bees 

GEO Series GSE178742. Apis mellifera. 79 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2022View details →
zenodo24/100

Thiamethoxam impairs honey bee visual learning, alters decision times, and increases abnormal behaviors

<p>Learning is important for honey bee fitness and the pollination services they provide. Neonicotinoid pesticides impair learning, fitness, colony health, and pollination, but most studies on how they affect bee learning have focused on olfactory learning. We tested the effects of field realistic doses of 0.8 ng/bee and 1.34 ng/bee of the neonicotinoid pesticide, thiamethoxam (TMX), on bee visual learning. We adapted a T-maze bioassay and classically conditioned bees to associate sugar rewarded with a simulated flower color (blue or yellow light) in a choice assay. At 1.34 ng/bee, TMX significantly reduced correct choices in the final learning trial as compared to the control treatment. There was no TMX effect in our 1-hour memory test. We found stronger effects on decision time and abnormal behaviors. TMX decreased bee decision times, a potential byproduct of induced hyperactivity induced since bees walked to make choices. Behaviors (falling, trembling, and rapid abnormal movements) were significantly increased by both TMX doses as compared to the control dose. These results suggest that the effects of neonicotinoids on bee visual learning should be further studied and incorporated into Risk Assessment protocols.</p>

opencc-by-4.0Feb 2020View details →
dryad24/100

Data from: A large-scale field study examining effects of exposure to clothianidin seed-treated canola on honey bee colony health, development, and overwintering success

In summer 2012, we initiated a large-scale field experiment in southern Ontario, Canada, to determine whether exposure to clothianidin seed-treated canola (oil seed rape) has any adverse impacts on honey bees. Colonies were placed in clothianidin seed-treated or control canola fields during bloom, and thereafter were moved to an apiary with no surrounding crops grown from seeds treated with neonicotinoids. Colony weight gain, honey production, pest incidence, bee mortality, number of adults, and amount of sealed brood were assessed in each colony throughout summer and autumn. Samples of honey, beeswax, pollen, and nectar were regularly collected, and samples were analyzed for clothianidin residues. Several of these endpoints were also measured in spring 2013. Overall, colonies were vigorous during and after the exposure period, and we found no effects of exposure to clothianidin seed-treated canola on any endpoint measures. Bees foraged heavily on the test fields during peak bloom and residue analysis indicated that honey bees were exposed to low levels (0.5–2 ppb) of clothianidin in pollen. Low levels of clothianidin were detected in a few pollen samples collected toward the end of the bloom from control hives, illustrating the difficulty of conducting a perfectly controlled field study with free-ranging honey bees in agricultural landscapes. Overwintering success did not differ significantly between treatment and control hives, and was similar to overwintering colony loss rates reported for the winter of 2012–2013 for beekeepers in Ontario and Canada. Our results suggest that exposure to canola grown from seed treated with clothianidin poses low risk to honey bees.

opencc-zeroDec 2013View details →
dryad24/100

Data from: Numerical ordering of zero in honey bees

Some vertebrates demonstrate complex numerosity concepts—including addition, sequential ordering of numbers, or even the concept of zero—but whether an insect can develop an understanding for such concepts remains unknown. We trained individual honey bees to the numerical concepts of "greater than" or "less than" using stimuli containing one to six elemental features. Bees could subsequently extrapolate the concept of less than to order zero numerosity at the lower end of the numerical continuum. Bees demonstrated an understanding that parallels animals such as the African grey parrot, nonhuman primates, and even preschool children.

opencc-zeroDec 2017View details →
dryad24/100

Data from: Museum samples reveal rapid evolution by wild honey bees exposed to a novel parasite

Understanding genetic changes caused by novel pathogens and parasites can reveal mechanisms of adaptation and genetic robustness. Using whole-genome sequencing of museum and modern specimens, we describe the genomic changes in a wild population of honey bees in North America following the introduction of the ectoparasitic mite, Varroa destructor. Even though colony density in the study population is the same today as in the past, a major loss of haplotypic diversity occurred, indicative of a drastic mitochondrial bottleneck, caused by massive colony mortality. In contrast, nuclear genetic diversity did not change, though hundreds of genes show signs of selection. The genetic diversity within each bee colony, particularly as a consequence of polyandry by queens, may enable preservation of genetic diversity even during population bottlenecks. These findings suggest that genetically diverse honey bee populations can recover from introduced diseases by evolving rapid tolerance, while maintaining much of the standing genetic variation.

opencc-zeroDec 2014View details →
zenodo24/100

Weight, Temperature and Humidity Sensor Data of Honey Bee Colonies in Germany, 2019 - 2022

<p>Files:</p> <p>bob_publication_data.zip<br>Sensor data in 1-minute, 1-hour and 1-day interval, processed and unprocessed version as described in data paper. Inspection data with beekeepers' meta-information collected using web app.</p> <p>bob_raw_data.zip<br>Raw sensor data with original measurement interval, mostly 5 or 10 seconds.</p> <p>bob_code_publication.zip<br>Code we used to prepare the data. We anonymised sections with personal keys and passwords.</p> <p>Abstract:</p> <p><br>We present sensor data from 78 honey bee colonies in Germany collected as part of a citizen science project. Each honey bee hive was equipped with five temperature sensors within the hive, one temperature sensor for outside measurements, a combined sensor for temperature, ambient air pressure and humidity, and a scale to measure the weight. During the data acquisition period, beekeepers used a web app to report their observations and beekeeping activities.<br>We provide the raw data with a measurement interval of up to 5 seconds as well as aggregated data, with per minute, hourly or daily average values. Furthermore, we performed several preprocessing steps, removing outliers with a threshold based approach, excluding changes in weight that were induced by beekeeping activities and combining the sensor data with the most important meta-data from the beekeepers' observations. The data is organised in directories based on the year of recording. Alternatively, we provide subsets of the data structured based on the occurrence or non-occurrence of a swarming event or the death of a colony.<br>The data can be analysed using methods from time series analysis, time series classification or other data science approaches to form a better understanding of specifics in the development of honey bee colonies.</p> <p>Information:</p> <p>The first three years of the citizen science project were funded by the&nbsp;German Ministry for Education and Research (BMBF).</p>

openSep 2023View details →
zenodo24/100

Neighborhood effects and honey bee foraging behavior

<p>Dataset that goes with our accepted publication in Journal of Apicultural Research titled &quot;Neighborhood effects and honey bee foraging behavior&quot;.</p>

opencc-by-4.0Mar 2022View details →
zenodo24/100

An inhibitory signal associated with danger reduces honey bee dopamine levels

<p>Dataset for paper.</p>

opencc-by-4.0Mar 2023View details →
dryad24/100

Data from: Temporal analysis of the honey bee microbiome reveals four novel viruses and seasonal prevalence of known viruses, Nosema, and Crithidia.

Honey bees (Apis mellifera) play a critical role in global food production as pollinators of numerous crops. Recently, honey bee populations in the United States, Canada, and Europe have suffered an unexplained increase in annual losses due to a phenomenon known as Colony Collapse Disorder (CCD). Epidemiological analysis of CCD is confounded by a relative dearth of bee pathogen field studies. To identify what constitutes an abnormal pathophysiological condition in a honey bee colony, it is critical to have characterized the spectrum of exogenous infectious agents in healthy hives over time. We conducted a prospective study of a large scale migratory bee keeping operation using high-frequency sampling paired with comprehensive molecular detection methods, including a custom microarray, qPCR, and ultra deep sequencing. We established seasonal incidence and abundance of known viruses, Nosema sp., Crithidia mellificae, and bacteria. Ultra deep sequence analysis further identified four novel RNA viruses, two of which were the most abundant observed components of the honey bee microbiome (∼10(11) viruses per honey bee). Our results demonstrate episodic viral incidence and distinct pathogen patterns between summer and winter time-points. Peak infection of common honey bee viruses and Nosema occurred in the summer, whereas levels of the trypanosomatid Crithidia mellificae and Lake Sinai virus 2, a novel virus, peaked in January.

opencc-zeroDec 2012View details →
dryad24/100

Negative impacts of dominance on bee communities: Does the influence of invasive honey bees differ from native bees?

<p>Invasive species can reach high abundances and dominate native environments. One of the most impressive examples of ecological invasions is the spread of the African sub-species of the honey bee throughout the Americas, starting from its introduction in a single locality in Brazil. The invasive honey bee is expected to more negatively impact bee community abundance and diversity than native dominant species, but this has not been tested previously. We developed a comprehensive and systematic bee sampling scheme, using a protocol deploying 11,520 pan traps across regions and crops for three years in Brazil. We found that invasive honey bees are now the single most dominant bee species. Such dominance has not only negative consequences for abundance and species richness of native bees but also for overall bee abundance (i.e., strong "numerical" effects of honey bees). Contrary to expectations, honey bees did not have stronger negative impacts than other native bees achieving similar levels of dominance (i.e., lack of negative "identity" effects of honey bees). These effects were remarkably consistent across crop species, seasons and years, and were independent from land-use effects. Dominance could be a proxy of bee community degradation and more generally of the severity of ecological invasions.</p>

opencc-zeroAug 2021View details →
ClinicalTrials.gov24/100

The Effect of Stingless Bee Honey Mouthrinse on Dental Plaque Accumulation

ClinicalTrials.gov study NCT06223243. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Stingless Bee Honey Augmentation in Major Depressive Disorders

ClinicalTrials.gov study NCT06723249. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record