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GENERAL INFORMATION

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Title of Dataset: Tarsal laser recordings


File Information: zip file containing 3 GWN and 1 Hz sinusoidal responses

Filename: Tarsal_recordings.zip

Short description: Recordings of tarsal movement in response to a FeCO apodeme stimulation.
	Post-processed responses to GWN and sinusoidal stimulus of 8 animals, and the average of the 8 animals.
	
Principal Investigator Contact Information

Name: Alicia Costalago Meruelo		

Institution: Ludwig-Maximilian University

Email: Alicia.CostalagoMeruelo@lrz.uni-muenchen.de / acostalago@gmail.com


Associate or Co-investigator Contact Information

Name: David Simpson

Institution: University of Southampton

Email: ds@isvr.soton.ac.uk

Associate or Co-investigator Contact Information

Name: Philip Newland

Institution: University of Southampton

Email: P.L.Newland@soton.ac.uk


Date of data collection (single date, range, or approximate date): 2013


Geographic location of data collection: Southampton, UK


Date files were created: 30/07/2013


Information about funding sources that supported the collection of the data:
Alicia Costalago Meruelo was supported by an EPRSC grant (EP/G03690X/1) from The Institute of Sound and Vibration Research and the Institute for Complex Systems Simulations at the University of Southampton.


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METHODOLOGICAL INFORMATION

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Description of methods used for collection/generation of data:
Costalago Meruelo, A., Simpson, D. M., Veres, S. M. & Newland, P. L. (2017), `Predictive control of intersegmental tarsal movements in an insect', Journal of Computational Neuroscience (In press).
Costalago Meruelo, A., Simpson, D. M., Veres, S. M. & Newland, P. L. (2016), `Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron', Neural Networks 75, 56-65.

Instrument-specific information needed to interpret the data:
	Matlab
	Digital-to-analogue converter (DAC) (USB 2527 data acquisition card (Measure Computing Norton, MA, USA)
	Keyence laser displacement sensor (LK G3001V controller, LK G32 Head, Keyence)
	Vibrational shaker (permanent magnet shaker LDSV101)

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SHARING/ACCESS INFORMATION

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Licenses/restrictions placed on the data: 
This data is avalable via open source through the University of Southampton repository. To use this data, please use either of the following publications:


Links to publications that cite or use the data:
Costalago Meruelo, A., Simpson, D. M., Veres, S. M. & Newland, P. L. (2017), `Predictive control of intersegmental tarsal movements in an insect', Journal of Computational Neuroscience (In press).
Costalago Meruelo, A. (2016), 'Tarsal intersegmental reflex responses in the locust hind leg'. Doctoral dissertation. University of Southampton, UK.
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DATA-SPECIFIC INFORMATION

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Parameters and/or variables used in the data set
	Units:
		 - Stimulus: centimeters [cm]
		 - Responses: centimeters [cm]
		 - Time: seconds [s]

	The zip file contains 8 Matlab .mat files:
		- 5HzGWN_1.mat: 
			* x: stimulus GWN 1
			* y: average tarsal response
			* t: Time vector
		- 5HzGWN_1_Individuals.mat
			* x: stimulus GWN 1
			* An1y: tarsal response of Animal 1
			* An2y: tarsal response of Animal 2
			* An3y: tarsal response of Animal 3
			* An4y: tarsal response of Animal 4
			* An5y: tarsal response of Animal 5
			* An6y: tarsal response of Animal 6
			* An7y: tarsal response of Animal 7
			* An8y: tarsal response of Animal 8
			* t: Time vector
		- 5HzGWN_2.mat: 
			* x: stimulus GWN 2
			* y: average tarsal response
			* t: Time vector
		- 5HzGWN_2_Individuals.mat
			* x: stimulus GWN 2
			* An1y: tarsal response of Animal 1
			* An2y: tarsal response of Animal 2
			* An3y: tarsal response of Animal 3
			* An4y: tarsal response of Animal 4
			* An5y: tarsal response of Animal 5
			* An6y: tarsal response of Animal 6
			* An7y: tarsal response of Animal 7
			* An8y: tarsal response of Animal 8
			* t: Time vector
		- 5HzGWN_3.mat: 
			* x: stimulus GWN 3
			* y: average tarsal response
			* t: Time vector
		- 5HzGWN_3_Individuals.mat
			* x: stimulus GWN 3
			* An1y: tarsal response of Animal 1
			* An2y: tarsal response of Animal 2
			* An3y: tarsal response of Animal 3
			* An4y: tarsal response of Animal 4
			* An5y: tarsal response of Animal 5
			* An6y: tarsal response of Animal 6
			* An7y: tarsal response of Animal 7
			* An8y: tarsal response of Animal 8
			* t: Time vector
		- Sine_1Hz.mat: 
			* x: stimulus 1 Hz
			* y: average tarsal response
			* t: Time vector
		- Sine_1Hz_Individuals.mat
			* x: stimulus 1 Hz
			* An1y: tarsal response of Animal 1
			* An2y: tarsal response of Animal 2
			* An3y: tarsal response of Animal 3
			* An4y: tarsal response of Animal 4
			* An5y: tarsal response of Animal 5
			* An6y: tarsal response of Animal 6
			* An7y: tarsal response of Animal 7
			* An8y: tarsal response of Animal 8
			* t: Time vector