https://researchdata.se/en/catalogue Search results en 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 The data contains counts of number of bird cherry-oat aphids (Rhopalosiphum padi) that settle on wheat (Triticum aestivum) plants after seed treatment with chemical elicitors and control plants (treated with water/wetter), and measures of the size of aphid populations on plants after treatment. Data were collected in glasshouse/growth chambers. Data were collected as part of the Swedish Research Council Formas project 2018-00706 to assess the potential of chemical elicitors methyl salicylate, methyl jasmonate and cis-jasmone for improving plant a health. Aphid plant colonization: Ten aphids (Rhopalosiphum padi) were placed onto wheat plants (treated with elicitors or water control) at 2-leaf stage and the number of aphids settled on the plants after 2 hours was recorded. Aphid population development: One adult aphid (Rhopalosiphum padi) was placed onto wheat plants (treated with elicitors or water control) and after it had produced nymphs, all but one nymph were removed. The number of days for each nymph to become adult and produce a first nymph (d) was recorded and the number of nymphs produced in a time equal to d (M) was recorded. The intrinsic rate of aphid population increase (Rm) was calculated using the formula Rm=0.74(LnM)/d Aphid population development- Variable List: Treatment (Control, MeSa= methyl salicylate, MeJa= methyl jasmonate, CJ= cis-jasmone), Concentration (concentration of elicitor mM (millimolar)), days to repr (d)= number of days between aphid birth and first reproduction no. offspring (M)= number of aphid offspring produced in time equivalent to d, no. offsring/day= M/d, Rm intrinsic rate of population increase calculated by Rm=0.74(LnM)/d. Experiment code A= MeSa vs control, B= MeJa vs control, C= CJ vs control. This data file consists of 171 rows and 7 columns Aphid plant colonization- Variable List: Treatment (Control, MeSa= methyl salicylate, MeJa= methyl jasmonate, CJ= cis-jasmone), Conc (concentration of elicitor mM millimolar), no. aphids settled after 2 hrs, Experiment code (indicates which control treatment to compare with which elicitor treatment) This data file consists of 240 rows and 5 columns. Identical values may appear on more than one row, so a unique data value identifier is included in the first column (Data point ID) Tue, 22 Apr 2025 11:19:57 GMT https://researchdata.se/en/catalogue/dataset/2023-70-1 https://researchdata.se/en/catalogue/dataset/2023-70-1 Swedish University of Agricultural Sciences Robert Glinwood Occurrences in this dataset on Swedish Insects have been identified from specimens collected from for the Swedish Malaise Project (SMTP), an inventory funded by the Swedish Species Information Centre (ArtDatabanken). These records comprise the foundation for recent estimates on the size and composition of the Swedish insect fauna, published herein as sample-based datasets. Wed, 13 May 2020 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-b48ufy https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-b48ufy Station Linné Dave Karlsson Fredrik Ronquist Occurrences in this dataset on Swedish Insects have been identified from specimens collected from for the Swedish Malaise Project (SMTP), an inventory funded by the Swedish Species Information Centre (ArtDatabanken). These records comprise the foundation for recent estimates on the size and composition of the Swedish insect fauna, published herein as sample-based datasets. Wed, 13 May 2020 00:00:00 GMT https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-cdw57a https://researchdata.se/en/catalogue/dataset/gbif-sweden-10-15468-cdw57a Station Linné Dave Karlsson Fredrik Ronquist 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 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