https://researchdata.se/en/catalogue Search results en Honeybee drones’ only known task is to mate with a virgin queen. Apart from their mating behaviour, their ecology has been little studied in comparison to honeybee females. Most previous knowledge is based on direct observations at a single experimental hive and gathered during a restricted amount of time. No study has focused on differences between Apis mellifera subspecies. This study presents drone and worker bee lifetime data of Apis mellifera mellifera and Apis mellifera x (hybrid Buckfast) colonies during the whole spring and summer mating season, using the Radio Frequency Identification Technology. This method enables continuous monitoring of tagged bees at the entrance of the hives together with the individuals’ movement direction. Differences were found between Apis m. mellifera and Buckfast drones, where Apis m. mellifera showed later drone production in spring, but earlier first activities and a later peak activity. Additionally, Apis m. mellifera flew more under high light intensities and windy conditions and performed more longer flights than Buckfast drones. No differences were found in their lifespan. However, drones in general showed higher activity the higher the temperature and avoided flights in the rain. The results confirmed that spring-born drones survive longer than summer-born drones and lived generally longer than worker bees. Drones peak activity occurred in the afternoon while worker bees showed similar activities throughout the day. Worker bees, unlike drones, did fly in the rain. Normally, orientation flights of drones are described to occur between 4 - 8 days of age, but such flights were observed earlier in this study. In summer, frequent mating flights were practiced before drones reach sexual maturity (at 12 days of age). The observed differences in drone ecology support possible local adaptation of the native subspecies Apis m. mellifera to the environmental conditions in Sweden. Fri, 02 Aug 2024 11:45:44 GMT https://researchdata.se/en/catalogue/dataset/2023-169 https://researchdata.se/en/catalogue/dataset/2023-169 University of Skövde Finja Schaumann Niclas Norrström Mats Niklasson Sonja Leidenberger This study makes part of the research project GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. The aim of the project was to quantify whether linear infrastructure habitats (road verges and power-line corridors) support biodiversity by assessing the influence of the area of these habitats in the landscape, their contribution to landscape connectivity and population persistence. The linked data was collected by surveying bumblebee queens during the spring and late summer in 20 sites in Uppland, Sweden. The sites were paired such that half of them had a high flowering plant diversity in the road verge and a gradient in traffic intensity from ~100 to ~6000 vehicles per day, and the other half had a similar gradient in traffic intensity but low flowering plant diversity in the road verge (i.e. regular grass dominated road verges). The surveyor walked a 2 km transect (1 km in each side of the road) and recorded all dead and alive bumblebee queens. The data set consists of 403 observations. Each observation corresponds to an observed bumblebee queen, whether they were found dead or alive and what behaviour they presented when observed. The data was gathered in 4 visits, 2 in spring and 2 in the late summer. Weather information is also present in the dataset, as well as information regarding the average width of the road verge. The data file Queen_mortality_and_behaviour.csv contains 403 rows and 12 columns. See the general description and the documentation file for more information. Thu, 30 Jun 2022 13:58:00 GMT https://researchdata.se/en/catalogue/dataset/2022-50-1 https://researchdata.se/en/catalogue/dataset/2022-50-1 Swedish University of Agricultural Sciences Juliana Dániel-Ferreira Åsa Berggren Riccardo Bommarco Jörgen Wissman Erik Öckinger Data Material: refer to 'Description of the dataset' Purpose of the study: These data primarily relate to the scientific article "Viral infection changes the expression of personality traits in an insect species reared for consumption". This is summarised in the following abstract: Disease-induced personality change results from endogenous and adaptive host responses or parasitic manipulation. Within animal husbandry systems understanding the connection between behaviour and disease is important for health monitoring and for designing systems considerate to animal welfare. However, understanding these relationships within insect mass-rearing systems is still in its infancy. We used a simple repeated behavioural-emergence test to examine parasite-induced differences in group personality traits in the house cricket Acheta domesticus, by comparing the behaviours of 37 individuals infected with the Acheta domesticus densovirus (AdDV) and 50 virus-free individuals. AdDV-infected animals had a much lower emergence probability, longer times until emergence, and did not change their behaviour with experience compared to the virus-free animals. AdDV-infected animals also had lower variation in their probability of emergence within the population, most likely related to animals displaying a relatively uniform sickness response. These infected animals also had higher variation in their response to experimental trial experience; this greater variation resulted from a difference between males and females. Infected females responded to experience in a similar way as virus-free animals, while AdDV-infected males showed a response to experience in the opposite direction: i.e., while all other groups reduced emergence time with experience, infected males always increased their mean emergence time as trials progressed. Our results are important not only in the context of animal personality research, but also with regards to creating husbandry systems and disease monitoring within the insects-as-food industry that are considerate to both production traits and animal welfare. The dataset file ‘Personality_data_virus_infection_SciRep_pub.csv’ is a simple csv datafile with 6 columns and 575 rows of data from 87 individual house crickets that were involved in repeated personality testing based on their emergence time from a tube in a novel environment (see the paper “Viral infection changes the expression of personality traits in an insect species reared for consumption” by Low et al.) During each experimental trial each cricket was individually placed into a tube and the time recorded to it to emerge, and based on multiple measurements this allowed measures of its ‘personality’. The study was concerned with differences in emergence behaviour for crickets that were infected with Acheta domesticus densovirus (N=37) and individuals that were certified as virus free (N=50). Experimental trials were repeated for each animal every day or every second datyduring the data collection period. See the documentation file 'data_description_SciRep.pdf' for information about each data column. Wed, 06 Jul 2022 08:48:19 GMT https://researchdata.se/en/catalogue/dataset/2022-30-1 https://researchdata.se/en/catalogue/dataset/2022-30-1 Swedish University of Agricultural Sciences Matthew Low Here is presented all data and code used in the article "Strong diel variation in the activity of insect taxa sampled by Malaise traps" by Viktor Gårdman, Emme McDonald & Tomas Roslin. The sampling of insects through Malaise traps was conducted by the authors. 24 malaise traps were erected in a boreal forest in central Sweden (Lat. 60.024855, long. 17.751336) and emptied every second hour, with the exception of night (samplng events during night = 22:00, 02:00, 06:00) for five consecutive days between 14-19th of July 2022. The sampling design is described in further detail in the article (Fig. 1B). Insects were identified to taxonomic Family for Diptera, Coleoptera, and Hymenoptera, except for the superfamilies of Chalcidoidea and Cynipoidea (Hymenoptera). Chalcidoids and Cynipoids were only identified to the superfamily level, due to difficulties in assigning lower taxonomic levels without risking misidentification. Hemiptera was divided into taxonomic families for Heteroptera, and into suborders for Auchenorrhyncha and Sternorrhyncha. To simplify identification of a large group with similar morphology, all microlepidopteras were grouped as such with no further identification. Furthermore, to speed up the identification task, all insects not belonging to Diptera, Hymenoptera, Coleoptera, Lepidoptera or Hemiptera were identified to Order alone. The HRS_SpeciesData file contains information about each captured individual across all taxa for each 2 hour sampling interval during the five days of sampling. Dates are given as DD/M. TrapID refers to which of the 24 traps used the individual was found in. Time is given in hh:mm and refers to the time of sampling, Time_con refers to time in only hh, and time_Num shows time of day as a fraction between 0 (00:00) and 1 (23:59). The superfamily belonging for each taxon used is given. Note that for taxa were only taxonomic Order or Suborders are given, the superfamily column refers to this Order or Suborder. The HRS_EnviData file contains information about how many individual were captured at each timestep for the 17 most common taxa (appearing as >49 individuals or in >19 timesteps), along with weather covariates for each timestep. The weather covariates are average values from the five half hour measurements per sampling period (expect for 22:00-02:00 and 02:00-06:00 where n=9). The taxonomic columns follow the same principle as in HRS_SpeciesData, with an additional column of taxonomic Order. Times and date also follow the same principle as in HRS_SpeciesData. ID is a unique mix of Date and time, given as DDHH (Date, Hour). The emptying of trap at 20:00 on the 15h would have ID 1520. Temperature is given in degrees Celsius (°C), wind speed in m/s, cloud cover as a fraction between 0 (no cloud) and 1 (complete cloud cover), rain in mm, wind direction in cardinal directions, and relative humidity in %. Data on weather covariates was provided by the Swedish Transport Administration (https://www.trafikverket.se/) from weather station 327 Björklinge (Lat. 60.05042, long. 17.62149). All code was created using R version 4.4.0 and is presented through Rmarkdown Fri, 05 Dec 2025 12:45:22 GMT https://researchdata.se/en/catalogue/dataset/2025-211 https://researchdata.se/en/catalogue/dataset/2025-211 Swedish University of Agricultural Sciences Viktor Gårdman Emme McDonald Tomas Roslin Most research on the biology of the western honey bee (Apis mellifera) focuses on the worker bees, but knowledge about drones is lacking despite their important role in mating with a virgin queen. Available information about their ecology and behavior are mainly based on direct observations in need of intensive experience and knowledge about honey bees. Only two recent studies conducted in France and Argentina have monitored drones continuously, but on the scale of a single observation hive or during a short time period only. Therefore, studies that have continuously monitored drone flight activity during the whole mating season are still lacking. Further, we are not aware of any studies that have compared the ecology and behavior of drones between different subspecies of Apis mellifera. Besides the aim of analysing the ecology and behavior of drones in spring and summer in Sweden, where the climate poses challenging conditions for honey bees, the objective of this project was to compare the native, but threatened, subspecies Apis mellifera mellifera (Mel) with the hybrid ’Buckfast’ (Apis mellifera x, Buck). In Sweden, the latter is most commonly used in beekeeping today. Activity data at the entrance of the hives was collected with the use of Radio Frequency Identification (RFID) technology at two different apiaries with 8 colonies each. RFID technology enables the continuous monitoring of bees tagged with a microchip on their thorax. Hereby, only newborn drones with a maximum age of 3 days were tagged. Further, drones’ activity and behavior at the entrance of the hive was studied from video recordings. Weather parameters were measured by weather stations installed within the apiaries, enabling a direct analysis of the activity in relation to weather conditions (temperature, wind speed, rain, humidity). Wed, 14 Feb 2024 14:58:09 GMT https://researchdata.se/en/catalogue/dataset/2023-211 https://researchdata.se/en/catalogue/dataset/2023-211 University of Skövde Finja Schaumann Data of chemical compounds extracted from honey bee (Apis mellifera) brood in a varroa resistant and varroa susceptible population. Samples were taken 0, 6, 12, 18, 24, and 36 hours after brood capping by immersing pupae in pentane for 10 minutes. 6 hives from each population were used, and 3 replicates were taken per hive per time point. The FAME column was calculated by adding Methyl Palmitate, Linoloate, and Stearate together, while the FAEE columb was calculateed by adding Ethyl Palmitate, Linoloate, and Stearate together. Samples were analyzed using gas chromatography. R version 4.4.0 and RStudio version 1.4.1.748 were used to analyze the data. All packages and their version is listed in the attached R script. Data files included: Scaramella_et_al_2024_Contrast.tsv: 16 rows × 12 columns Scaramella_et_al_2024_Data.tsv: 210 rows × 14 columns Mon, 24 Jun 2024 13:15:10 GMT https://researchdata.se/en/catalogue/dataset/2024-173 https://researchdata.se/en/catalogue/dataset/2024-173 Swedish University of Agricultural Sciences Nicholas Scaramella Barbara Locke Data describe catches of male moths in traps baited with species-specific sex pheromones. Three species of black currant pests in Sweden, Norway and Finland were investigated: Lamporna capitella, Euhyponomeutoides albithoracellus and Synanthedon tipuliformis. Data show total weekly catches of males in four traps per field. NA indicates weeks when traps were not listed and checked. Wed, 28 May 2025 09:25:17 GMT https://researchdata.se/en/catalogue/dataset/2023-256 https://researchdata.se/en/catalogue/dataset/2023-256 Lund University Glenn Svensson Olle Anderbrant The study included three moth species which are pests in seed orchards of Norway spruce, Picea abies: the spruce seed moth, Cydia strobilella, the spruce coneworm, Dioryctria abietella, and the cloaked pug, Eupithecia abietaria. The study was performed in southern Sweden in 2010-2015 and included five seed orchards and one clone archive. Pheromone-baited traps were used to monitor the presence, adundance and flight phenology of the three moth pests. In addition, surveys of cone production were performed at each site, and cones were collected and dissected to check for presence and frequency of larvae of the different pests to evaluate damage on the cone crop. Wed, 02 Jul 2025 08:48:47 GMT https://researchdata.se/en/catalogue/dataset/2024-18 https://researchdata.se/en/catalogue/dataset/2024-18 Lund University Glenn Svensson Olle Anderbrant Christer Löfstedt Code in MATLAB r2022b, containing relevant data, for the journal article: Pons, "Causal models of rate-independent damping in insect exoskeleta", Journal of Experimental Biology, 2025. Code is annotated, and includes fitting analysis and and numerical methods for damping models. Mon, 09 Jun 2025 07:25:17 GMT https://researchdata.se/en/catalogue/dataset/2025-172 https://researchdata.se/en/catalogue/dataset/2025-172 Chalmers University of Technology Arion Pons We studied the effects of different landscape parameters at three spatial scales on the densities of and damage caused by five major insect pests of sugar beet in 134 sugar beet fields monitored across five years in Denmark and Sweden. The landscape parameters investigated include the cover of cropland as measure of landscape simplification, the absolute inter-annual change in host crop cover (sugar beet), the landscape-level crop diversity in the previous year and the edge-density in the surrounding landscapes. The pests were monitored in a standardised monitoring scheme with one observation plot in each field and the respective values represent the maximum observed densities or damage at economically relevant development stages (see detailed description below). Pest densities and damage were recorded in five clusters of five plants selected at random within the observation plot avoiding plot edges and tractor tracks. Landscape parameters were extracted from the official land-use maps provided by the Danish Agricultural Agency (Landbrugsstyrelsen, 2024. Internet Markkort (IMK). Ministeriet for Fødevarer, Landbrug og Fiskeri, København) and the Swedish Board of Agriculture (Jordbruksverket, 2024. Kartor och Geografiska informationssystem - Årslager skiftesdata. Jordbruksverket) at three buffer radii (500 m, 1000 m and 2000 m) around the centre of the observation plots. For further information, see methods in the publication Boetzl et al. (2026) Landscape-scale drivers of insect pest regulation in sugar beet. Agriculture, Ecosystems and Environment. The data in the 'sugarbeet_pests_data.csv' file have information on the prevalence and damage caused by five major sugar beet pests (black bean aphid, pygmy mangold beetle, flea beetles, beet leafminers and thrips) at the respective economically relevant sugar beet growth stages recorded in 134 fields ('ID') in Denmark and Sweden as well as landscape parameters in the landscapes surrounding these fields at three spatial scales (500 m, 1000 m and 2000 m). 135 rows. 'NA' indicates missing values. SLU has led data analysis and publication of the scientific article. Nordic Beet Research has coordinated data collection. University of Copenhagen has contributed to data interpretation. Mon, 06 Oct 2025 14:32:57 GMT https://researchdata.se/en/catalogue/dataset/2025-255 https://researchdata.se/en/catalogue/dataset/2025-255 Swedish University of Agricultural Sciences Ola Lundin Fabian Boetzl