https://researchdata.se/en/catalogue Search results en This dataset contains drone images of pollinators and plants collected in the Uppsala region of Sweden. The purpose of the data collection was to document pollinator activity in natural field environments, with the long-term goal of supporting research in automated species identification. The images include a variety of pollinator species, such as bees and butterflies, as well as diverse plant species commonly found in the area. The dataset can be used to train and evaluate models for classification of both pollinators and plant species, and it is particularly useful for research related to biodiversity monitoring, ecological field studies, and automated detection systems. Because the images are obtained from natural field sites rather than controlled laboratory settings, they offer realistic environmental conditions and therefore provide valuable challenges for algorithm development. The images were collected specifically for this project in order to support research on drone-based pollinator monitoring. They have not been used in previous studies, and no publications have been produced from this dataset at the time of submission. The dataset is intended to be openly available for future research and methodological development. The images were taken with a Drone, specifically DJI mini 4 Pro by Liv Olofsson, Research Assistant at SLU. Fri, 19 Dec 2025 10:32:42 GMT https://researchdata.se/en/catalogue/dataset/2025-300 https://researchdata.se/en/catalogue/dataset/2025-300 Swedish University of Agricultural Sciences Liv Olofsson We sampled pollinators, natural enemies, and herbivores, and estimated predation rates using visual observations, yellow sticky traps, pitfall traps, tiller counts and sentinel prey cards in eight pairs of pollinator attractive annual flower strips and control field margins, and their adjacent cereal fields in Skåne, Sweden in 2021. Field margins (flower strip vs spontaneous vegetation control) were characterized by estimating the percentage of plant cover and the total floral area (for each species we calculated the number of floral units x average floral area) in eight 0.6 x 0.6 m squares evenly distributed along the 100 m transect. Data was collected twice during the main period of the flower mixture. Pollinators (hoverflies, honey bees, bumblebees, solitary bees, and butterflies) visiting flowers were surveyed for 10 minutes along a 100 m long and 1 m wide transect in each field margin type. Pollinators were surveyed twice during the main period of the flower mixture on the same days as the margin characterization was done. Leaf-dwelling natural enemies and herbivores were sampled using yellow sticky traps (20 cm x 12.6 cm). Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. Due to a large number of samples only three traps per transect were processed and identified. Ground-dwelling natural enemies were sampled using pitfall traps made from polypropylene beakers (12 cm diameter) filled with 200 mL of soapy water. Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. Due to a large number of samples only three traps per transect were processed and identified. We counted and identified all arthropods found on four groups of five tillers located along each adjacent crop transect, spaced every 20 m, resulting in 80 crop tillers per site. Data was collected twice during the main period of the flower mixture. Sentinel aphid cards were set up in the field to estimate aphid predation rates. Four groups of two cards at ground level and two cards at vegetation level were set up along each adjacent crop transect, spaced every 20 m, resulting in 32 cards per site. Sentinel prey cards were set up once, exposed simultaneously during the first sampling interval of the tiller counts. After 24 hours of exposure, the sentinel prey cards were collected, and the remaining aphids were counted. This survey was conducted only in four of the eight fields. All data were aggregated across samples and survey rounds for each field margin habitat and the adjacent on-crop area. Hushållningssällskapet provided support in identifying suitable study sites, facilitating contact with farmers, and reviewing and editing the final manuscript associated with the dataset For further information, see methods in the manuscript Rodríguez-Gasol et al. "Annual flower strips under the ‘All of Sweden blooms’ initiative - how do they perform for pollinators, natural enemies and herbivores?". Thu, 29 Jan 2026 08:09:03 GMT https://researchdata.se/en/catalogue/dataset/2025-270 https://researchdata.se/en/catalogue/dataset/2025-270 Swedish University of Agricultural Sciences Neus Rodriguez-Gasol Ola Lundin Elodie Chapurlat Mattias Hammarstedt Mattias Jonsson Johan A. Stenberg Maria Viketoft We sampled pollinators, natural enemies, and herbivores using visual observations, yellow sticky traps, pitfall traps and tiller counts, as well as estimated predation and decomposition rates using sentinel prey cards and bait lamina strips in ten pairs of pollinator attractive perennial flower strips and control field margins, and their adjacent cereal fields in Skåne, Sweden in 2021. Field margins (flower strip vs spontaneous vegetation control) were characterized by estimating the percentage of plant cover and the total floral area (for each species we calculated the number of floral units x average floral area) in eight 0.6 x 0.6 m quadrats evenly distributed along a 100 m transect. Data was collected twice during the main growing period of the flower mixture. Pollinators (hoverflies, honey bees, bumblebees, solitary bees and butterflies) visiting flowers were surveyed for 10 minutes along a 100 m long and 1 m wide transect in each field margin type. Pollinators were surveyed twice during the main period of the flower mixture on the same days as the margin characterization was done. Leaf-dwelling natural enemies and herbivores were sampled using yellow sticky traps (20 cm x 12.6 cm). Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. Ground-dwelling natural enemies were sampled using pitfall traps made from polypropylene beakers (12 cm diameter) filled with 200 mL of soapy water. Four traps of each type were placed along the 100 m transect in the field margins and another four in the adjacent crop area, at 10 m from the margins, for a total of 16 traps per site. Traps were spaced 20 m apart within each transect and remained in the field for seven days. Data was collected twice during the main period of the flower mixture. We counted and identified all arthropods found on four groups of five tillers located along each adjacent crop transect, spaced every 20 m, resulting in 80 crop tillers per site. Data was collected twice during the main period of the flower mixture. Sentinel aphid cards were set up in the field to estimate aphid predation rates. Four groups of two cards at ground level and two cards at vegetation level were set up along each adjacent crop transect, spaced every 20 m, resulting in 32 cards per site. Sentinel prey cards were exposed simultaneously during the first sampling interval of the tiller counts. After 24 hours of exposure, the sentinel prey cards were collected, and the remaining aphids were counted. Decomposition rates were estimated by setting up bait lamina strips filled with a standardized bait mixture. Four groups of five strips were placed along each 100 m transect, with groups spaced every 20 m, resulting in 80 strips per site. Within each group, strips were spaced 20 cm apart. The lamina strips were buried in the ground for 15 days, coinciding with the end of the surveys. After this exposure period, we recorded the number of pierced holes and calculated the decomposition rate by dividing the number of pierced holes by the total number of bait-filled holes. All data were aggregated across samples and survey rounds for each field margin habitat and the adjacent in-crop area. For further information, see methods in the manuscript Rodríguez-Gasol et al. ’Perennial flower strips increase pollinator and natural enemy abundance but show limited efficacy in pest control for adjacent crops’. Wed, 08 Oct 2025 11:12:23 GMT https://researchdata.se/en/catalogue/dataset/2025-102 https://researchdata.se/en/catalogue/dataset/2025-102 Swedish University of Agricultural Sciences Neus Rodriguez-Gasol Maria Viketoft Elodie Chapurlat Johan A. Stenberg Mattias Jonsson Ola Lundin This data set comprises the species richness of vascular plants, butterflies and bumblebees in linear infrastructure habitats (road verges and power lines) and the historical and present grassland cover in a 2 km buffer surrounding each habitat. The main purpose of this data set is to investigate if older linear infrastructure habitats sustain a higher richness of vascular plants and pollinators, and to study if the surrounding grassland habitat in the landscape from the past or the present has an influence on the contemporary species richness. The data also contains the species richness of grassland specialist vascular plants and butterflies, which is a subset from the total richness of the respective groups. The data on plants and pollinators was assessed during fieldwork in 2016. The data on grassland cover was calculated using the Swedish National Land Cover Data (NMD, Nationella marktäckedata) for the contemporary grassland, and a digitized Swedish Economic Map from the 1950s. The dataset consists of 112 rows and 15 columns, excluding headers. Each row contains information for one studied habitat (112 in total). The columns contain information on the studied 'Landscape' and 'Habitat' within the landscape, the coordinates of the transect in each habitat ('Start_X', 'Start_Y', 'End_X', End_Y'), information on the time since habitat establishment ('FirstAppearance') and the surrouding grassland cover in the past and present ('1950s_Grassland' and '2017_Grassland', respectively), and the continuously existing grassland ('Continuous_Grassland'). Furthermore, it contains information on the species richness of all vascular plants ('PL_rich_all') and grassland specialist vascular plants ('PL_rich_spec'), all butterflies ('BF_rich_all') and grassland specialist butterflies ('BF_rich_spec'), and bumblebees ('BB_rich'). For further explanation on the information and how it was assessed, please see the README file. Tue, 31 Jan 2023 10:00:07 GMT https://researchdata.se/en/catalogue/dataset/2022-246-1 https://researchdata.se/en/catalogue/dataset/2022-246-1 Swedish University of Agricultural Sciences Svenja Horstmann Data on number of male currant bud moths captured in traps baited with candidate compounds of the sex pheromone of the species. Experiments were performed in black currant orchards in northern Sweden in 2004, 2005 and 2022. Catch of males of the currant bud moth as part of the identification of the sex pheromone of the species. Traps were baited with sex pheromone candidate compounds produced by females and found to be antennally-active in males. Fri, 23 Dec 2022 11:51:33 GMT https://researchdata.se/en/catalogue/dataset/2022-248-1 https://researchdata.se/en/catalogue/dataset/2022-248-1 Lund University Glenn Svensson Olle Anderbrant Christer Löfstedt Erling Jirle Sven Hellqvist Elisabeth Öberg 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 butterflies, bumblebees, and vascular plants in five types of prevalent grasslands (pastures, road verges along small gravel roads, road verges along big paved roads, power line corridors, and field borders). These grasslands were embedded in 32 landscapes with area 4 km² each, that differed in the area of linear infrastructure habitats (road verges and power line corridors) and semi-natural grasslands of high nature value, while other land-use types were kept constant. The landscapes were dominated by forest. Within each grassland habitat, the surveyor established a 200 m transect and then identified all butterflies and bumblebees along it. For plants, a 1 x 1 m quadrat was established at the centre of a 50 m section in each transect, i.e. each transect had four plots in which all plant species were identified. Denna studie är en del av projektet GINFRA – green rights-of-way infrastructure for biodiversity and ecosystem services. Projektets huvudsyfte var att kvantifiera om linjära infrastrukturmiljöer (vägkanter och kraftledningsgator) bidrar till mångfalden av växter och insekter i olika rumsliga skalor. Detta gjordes genom att uppskatta hur linjära infrastrukturmiljöers mängd i landskapet bidrar till mångfalden samt hur mycket de bidrar till landskapets konnektivitet. Datan samlades genom att inventera dagfjärilar, humlor, och växter i fem typer av gräsmarker (betesmarker, vägrenar längs enskilda vägar, vägrenar längs allmänna vägar, kraftledningsgator, och åkerkanter). Alla dessa habitat typer fanns inom 32 landskap med area 4 km2 som skilde sig i areal av linjära infrastrukturmiljöer (vägrenar och kraftledningsgator) och ängs-och betesmarker. Arealen av andra markanvändningar var konstanta mellan landskap och alla landskap var skogsdominerade. Thu, 04 Apr 2024 09:16:47 GMT https://researchdata.se/en/catalogue/dataset/2023-23-1 https://researchdata.se/en/catalogue/dataset/2023-23-1 Swedish University of Agricultural Sciences Juliana Dániel-Ferreira Yoan Fourcade Riccardo Bommarco Jörgen Wissman Erik Öckinger 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 Phenotypic plant data and herbivory intensity data from eight Solanum dulcamara populations in four habitats, and arthropod data from five of these populations collected in pan straps and sticky traps. The phenotypic plant data include measures on growth and reproduction. Herbivory data include measures on lost leaf area. Arthropod data are divided into different taxa. Thu, 03 Sep 2026 12:19:13 GMT https://researchdata.se/en/catalogue/dataset/2026-144 https://researchdata.se/en/catalogue/dataset/2026-144 Swedish University of Agricultural Sciences Åsa Lankinen Kristin Aleklett