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        <r:String xml:lang="sv">Data för: Bye Bye Baby Effects of Bear Predation on the Movement and Behaviour of Female Moose</r:String>
        <r:String xml:lang="en">Data for: Bye Bye Baby Effects of Bear Predation on the Movement and Behaviour of Female Moose</r:String>
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          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
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          <r:String xml:lang="en">Swedish University of Agricultural Sciences</r:String>
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        <r:SimpleDate>2026-11-12</r:SimpleDate>
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      <r:Content xml:lang="sv">Detta dataset innehåller anonymiserade, analysfärdiga rörelse- och beteendedata från GPS-märkta älgkor (Alces alces) som följdes under kalvningssäsongen i mellersta Sverige mellan 2020 och 2025. Datasetet sammanställdes för att undersöka hur älgkor förändrar sitt beteende när deras kalvar överlever respektive dödas av brunbjörn (Ursus arctos). Studien fokuserade särskilt på om kalvförlust påverkade honornas rörelsehastighet, områdesanvändning, beteendetillstånd och återhämtning efter predationshändelser.

Älgkorna var utrustade med GPS-halsband programmerade att registrera positioner med 30 minuters intervall. Kalvningsdatum identifierades utifrån plötsliga minskningar i honornas rörelseaktivitet och verifierades därefter genom fältobservationer. Efter att kalvning hade bekräftats övervakades kalvarnas överlevnad under hela kalvningssäsongen. Misstänkta dödsfall som identifierades genom förändringar i honornas rörelsemönster följdes upp med ytterligare fältundersökningar.

Varje rad i datasetet representerar en GPS-baserad observation av en älgko vid en specifik tidpunkt. Variablerna beskriver därför honans rörelsebeteende, rumsliga ekologi och reproduktiva status vid observationstillfället, tillsammans med information om kalvöverlevnad och predationshändelser.

För att skydda studieindividerna och uppfylla etiska samt naturvårdsmässiga krav har ursprungliga GPS-koordinater, tidsstämplar, geografiska platser och djuridentifierare tagits bort eller anonymiserats. Anonyma individidentifierare tillhandahålls för varje övervakad älgko.

Arkivet innehåller:

Ett anonymiserat analysfärdigt dataset.
En databeskrivning (data dictionary) med beskrivningar av samtliga variabler och deras enheter.
Ett R-skript som dokumenterar de bearbetningssteg som användes för att härleda rörelsemått, beteendetillstånd, hemområdesskattningar och modellspecifika dataset från de ursprungliga telemetridata.

Alla analyser genomfördes i statistikprogrammet R.</r:Content>
      <r:Content xml:lang="en">This dataset contains anonymised, analysis-ready movement and behavioural data from GPS-collared female moose (Alces alces) monitored during the calving season in central Sweden between 2020 and 2025. The dataset was compiled to investigate how female moose respond behaviourally to the survival or loss of their calves following confirmed predation by brown bears (Ursus arctos). The study specifically examined whether calf loss influenced maternal movement rates, space use, behavioural states, and recovery following predation events.

Female moose were equipped with GPS collars programmed to record locations at 30-minute intervals. Parturition dates were identified from abrupt reductions in female movement and subsequently verified through field observations. Following confirmation of birth, calf survival was monitored throughout the calving season. Suspected mortality events detected from changes in maternal movement behaviour triggered additional field investigations. 

Each row in the dataset represents a GPS-based observation of a female moose at a particular date and time. Variables therefore describe the movement behaviour, spatial ecology, and reproductive status of the mother at that observation, together with information about calf survival and predation events.

To protect study animals and comply with ethical and conservation requirements, original GPS coordinates, timestamps, geographic locations, and animal identifiers have been removed or anonymised. Anonymous identifiers are provided for each monitored female.

The repository includes:
An anonymised analysis-ready dataset.
A data dictionary describing all variables and units.
An R script documenting the processing steps used to derive movement metrics, behavioural states, home-range estimates, and model-specific datasets from the original telemetry data.

All analyses were conducted using R software.</r:Content>
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        <r:Subject xml:lang="sv" controlledVocabularyID="1" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Naturvetenskap</r:Subject>
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        <r:Subject xml:lang="sv" controlledVocabularyID="106" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Biologi</r:Subject>
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        <r:Keyword xml:lang="en" controlledVocabularyID="206046" controlledVocabularyName="Dyntaxa">Alces alces</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="206046" controlledVocabularyName="Dyntaxa">älg</r:Keyword>
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        <r:Keyword xml:lang="en" controlledVocabularyID="7F2KB" controlledVocabularyName="Catalogue of Life">ursus arctos linnaeus, 1758</r:Keyword>
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          <r:Content xml:lang="en">Our study was conducted in central Sweden, in an area covering approximately 2500 km² within Gävleborg and Jämtland counties.</r:Content>
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