Data and code for "Strong diel variation in the activity of insect taxa sampled by Malaise traps"
type: Dataset
distribution: Landing page for the dataset
title: Data och kod för "Strong diel variation in the activity of insect taxa sampled by Malaise traps" @sv
description: 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 fi…
description: Här presenteras all data och kod för artikeln "Strong diel variation in the activity of insect taxa sampled by Malaise traps" av Viktor Gårdman, Emme McDonald & Tomas Roslin. Provtagningen av insekter har utförts av författarna . 24 Malaisefällor sattes upp i en boreal skog i centrala Sverige (Lat. 60.024855, long. 17.751336) och tömdes varannan timme under fem dagar, med undantag för nätter (22:00-06:00), som hade ett interval på fyra timmar (tömning 22:00, 02:00, 06:00). Malaisefällornas position i förhållande till varandra illustreras bäst via Fig. 1B i artikeln. Insekterna identifierades till taxonomisk familj för flugor (Diptera), skalbaggar (Coleoptera) och steklar (Hymenoptera). Överfamiljerna Chalcidoidea och Cynipoidea inom Parasitsteklar (Parasitica; Hymenoptera) identifierades enbart till överfamilj på grund av svårigheter med att familjebestämma arter inom dessa överfamiljer. Halvvingar (Hemiptera) bestämdes till familj inom skinbagggar (Heteroptera), men enbart till underordning för stritar (Auchenorrhyncha) och växtlöss (Sternorrhyncha). För att förenkla bestämningsprocessen så gjordes ingen vidare identifiering av småfjärilar (microlepidoptera) och för alla insektsordningar förutom Coleoptera, Diptera, Hymenoptera, Hemiptera och Lepidoptera identifierades arter enbart till ordning. Filen "HRS_SpeciesData" innehåller information om varje individ som fångades under provtagningsperioden. Det inkluderar datum för fångsten ('Date', givet som DD/M); vilken fälla som individen hittades i (TrapID); tid i hh:mm (Time); tid i enbart timmar (Time_con), tid som en fraktion mellan 0 (00:00) och 1 (23:59) (Time_Num); superfamilj för varje taxon (Superfamily); taxon som varje individ delats in i (Taxon). För taxon med högre taxonomisk nivå än superfamilj anges den taxonomiska nivån i kolumnen för superfamilj. Filen "HRS_EnviData" innehåller information om hur många individer per taxon som fångades vid varje provtagningstillfälle för de 17 mest frekventa taxa (föreko… @sv
modified: 2025-12-05T12:45:22.590052Z
issued: 2025-12-05T12:45:22.590052Z
publisher: Swedish University of Agricultural Sciences
access rights: PUBLIC
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Viktor Gårdman
    type: Agent
    account: https://orcid.org/0009-0006-8061-4767
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Emme McDonald
    type: Agent
    type: PrivateIndividual(s)
qualified attribution: Attribution
  had role: principalInvestigator
  agent: Tomas Roslin
    type: Agent
    account: https://orcid.org/0000-0002-2957-4791
    type: PrivateIndividual(s)
contact point: Individual
  fn: Viktor Gårdman
contact point: Individual
  fn: SLU Arkiv
keyword: air temperature
keyword: lufttemperatur @sv
keyword: abundance
keyword: air relative humidity
keyword: community composition
keyword: arthropods
keyword: Species distribution
keyword: Arters utbredning @sv
keyword: day
keyword: dag @sv
keyword: cloud cover
keyword: night
keyword: wind speed
keyword: Diptera
keyword: tvåvingar @sv
keyword: Lepidoptera
keyword: fjärilar @sv
keyword: Hemiptera
keyword: halvvingar @sv
keyword: Plecoptera
keyword: bäcksländor @sv
keyword: Thysanoptera
keyword: tripsar @sv
keyword: Neuroptera
keyword: nätvingar @sv
keyword: Psocoptera
keyword: stövsländor @sv
keyword: Hymenoptera
keyword: steklar @sv
keyword: Coleoptera
keyword: skalbaggar @sv
keyword: diel rythm
keyword: dygnsrytm @sv
keyword: Malaise trap
keyword: Malaisefälla @sv
temporal: PeriodOfTime
  start date: 2022-07-14
  end date: 2022-07-19
language: ENG

Landing page for the dataset
type: Distribution
title: Landningssida för datasetet @sv
access URL: Data and code for "Strong diel variation in the activity of insect taxa sampled by Malaise traps"
availability: stable

Swedish University of Agricultural Sciences
type: Agent
name: Sveriges lantbruksuniversitet @sv
type: Academia-ScientificOrganisation
source: 02yy8x990