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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Honeybee lifetime tracking data 2019

Authors: Smith, Michael L; Davidson, Jacob D; Wild, Benjamin; Dormagen, David M; Landgraf, Tim; Couzin, Iain D;

Honeybee lifetime tracking data 2019

Abstract

Data from barcode-based tracking of honeybees during summer of 2019, taken in an observation hive located at University of Konstanz, Germany. See table of experiments and manipulations performed Associated GitHub repositories: https://github.com/jacobdavidson/bees_lifetimetracking_2019data https://github.com/jacobdavidson/bees_drones_2019data Data usage example is on Github File contents: 2019_Quantity_Dates_Cohorts_DaysLived.xlsx List and description of quantities contained in the single-day summary metrics, and the metrics calculated at shorter intervals (hour, 5 minute, 1 minute). Also lists day number definitions, cohort birthdates, and estimated days lived per bee. trajectories_000-019.zip, trajectories_020-039.zip, trajectories_040-059.zip, trajectories_060-079.zip, trajectories_080-099.zip, trajectories_100-114.zip Single-day hdf files, each containing x-y trajectory data in the form: daynum framenum uid x y camera theta daynum: the day number of the observation period. See 'Day numbers' sheet in 2019_Quantity_Dates_Cohorts_DaysLived.xlsx framenum: using the camera frame rate of 3fps, the frame number with respect to that particular day uid: the Unique ID of each bee x,y: pixel coordinate values of each bee. Conversion is 80 pixels/cm camera: which camera the bee was detected on: 0=exit side (with dance floor - shown at right in comb map images), 1=back side (show at left in comb map images) theta: orientation of the bee in the hive comb-contents-images2019.zip Comb content color-coded png image files, as well as pkl files for using the comb data type (see Data Usage Example) daydatamat.csv Summary behavioral metrics calculated for each tracked bee on each day of the experiment. See 2018_Quantity_Descriptions.xlsx for full list and detail of quantities. Data is in the form: Age Day number Bee unique ID Cohort ID <metric1> <metric2> ... df_day1min.zip, df_day5min.zip, df_dayhour.zip Behavioral metrics calculated over different time intervals: 1 minute, 5 minute, or 1 hour divisions. See 2018_Quantity_Descriptions.xlsx for full list and detail of quantities. Files are organized as a single .hdf file for each day. Each file contains data in the form: Per-hour data: Age Day number Bee unique ID Cohort ID Hour <metric1> <metric2> ... 5-minute or 1-minute data: Age Day number Bee unique ID Cohort ID timedivision <metric1> <metric2> ... dfxy_dayhour.zip x-y histogram data, calculated by using a 2cmx2cm grid and binning for each hour of each day. One file per day, and each file contains data in the form: Day number Bee unique ID Cohort ID Hour hist0 hist1 ... hist1434 Convert the flattened histogram structure into a shape of [41,35] in order to view as shown in the paper or in the Data Usage Example

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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