Dataset: LoRa underground farm sensor network

Rachel Cardell-Oliver; Christof Hübner; Matthias Leopold; Jason Beringer

doi:10.1145/3359427.3361912

Dataset: LoRa underground farm sensor network

Rachel Cardell-Oliver, Christof Hübner, Matthias Leopold, Jason Beringer

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

17 Citations (Scopus)

Abstract

This paper describes a dataset of LoRa radio channel metrics, soil moisture and temperature measurements, weather and flux tower observations, from an underground sensor network on a farm site in Western Australia. The dataset comprises half hourly readings from 10 months of continuous monitoring over 10 radio channels (5 transmitters and 2 receivers) for 24 sensors. R-notebooks are provided to to facilitate re-use of this data by documenting collection metadata and exploratory data analyses.

Original language	English
Title of host publication	DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019
Place of Publication	United State
Publisher	Association for Computing Machinery (ACM)
Pages	26-28
Number of pages	3
ISBN (Electronic)	9781450369930
DOIs	https://doi.org/10.1145/3359427.3361912
Publication status	Published - 10 Nov 2019
Event	2nd ACM Workshop on Data Acquisition To Analysis, DATA 2019 - Part of SenSys 2019 - Columbia University, New York, United States Duration: 10 Nov 2019 → 10 Nov 2019 https://workshopdata.github.io/DATA2019/

Publication series

Name	DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019

Conference

Conference	2nd ACM Workshop on Data Acquisition To Analysis, DATA 2019 - Part of SenSys 2019
Country/Territory	United States
City	New York
Period	10/11/19 → 10/11/19
Internet address	https://workshopdata.github.io/DATA2019/

Access to Document

10.1145/3359427.3361912

Cite this

Cardell-Oliver, R., Hübner, C., Leopold, M., & Beringer, J. (2019). Dataset: LoRa underground farm sensor network. In DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019 (pp. 26-28). (DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019). Association for Computing Machinery (ACM). https://doi.org/10.1145/3359427.3361912

Cardell-Oliver, Rachel ; Hübner, Christof ; Leopold, Matthias et al. / Dataset : LoRa underground farm sensor network. DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019. United State : Association for Computing Machinery (ACM), 2019. pp. 26-28 (DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019).

@inproceedings{3119d08d809241b08aae1c5fb3b2282b,

title = "Dataset: LoRa underground farm sensor network",

abstract = "This paper describes a dataset of LoRa radio channel metrics, soil moisture and temperature measurements, weather and flux tower observations, from an underground sensor network on a farm site in Western Australia. The dataset comprises half hourly readings from 10 months of continuous monitoring over 10 radio channels (5 transmitters and 2 receivers) for 24 sensors. R-notebooks are provided to to facilitate re-use of this data by documenting collection metadata and exploratory data analyses.",

author = "Rachel Cardell-Oliver and Christof H{\"u}bner and Matthias Leopold and Jason Beringer",

year = "2019",

month = nov,

day = "10",

doi = "10.1145/3359427.3361912",

language = "English",

series = "DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019",

publisher = "Association for Computing Machinery (ACM)",

pages = "26--28",

booktitle = "DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019",

address = "United States",

note = "2nd ACM Workshop on Data Acquisition To Analysis, DATA 2019 - Part of SenSys 2019 ; Conference date: 10-11-2019 Through 10-11-2019",

url = "https://workshopdata.github.io/DATA2019/",

}

Cardell-Oliver, R, Hübner, C, Leopold, M & Beringer, J 2019, Dataset: LoRa underground farm sensor network. in DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019. DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019, Association for Computing Machinery (ACM), United State, pp. 26-28, 2nd ACM Workshop on Data Acquisition To Analysis, DATA 2019 - Part of SenSys 2019, New York, New York, United States, 10/11/19. https://doi.org/10.1145/3359427.3361912

Dataset: LoRa underground farm sensor network. / Cardell-Oliver, Rachel; Hübner, Christof; Leopold, Matthias et al.
DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019. United State: Association for Computing Machinery (ACM), 2019. p. 26-28 (DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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T1 - Dataset

T2 - 2nd ACM Workshop on Data Acquisition To Analysis, DATA 2019 - Part of SenSys 2019

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AU - Beringer, Jason

PY - 2019/11/10

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AB - This paper describes a dataset of LoRa radio channel metrics, soil moisture and temperature measurements, weather and flux tower observations, from an underground sensor network on a farm site in Western Australia. The dataset comprises half hourly readings from 10 months of continuous monitoring over 10 radio channels (5 transmitters and 2 receivers) for 24 sensors. R-notebooks are provided to to facilitate re-use of this data by documenting collection metadata and exploratory data analyses.

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M3 - Conference paper

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EP - 28

BT - DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019

PB - Association for Computing Machinery (ACM)

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Y2 - 10 November 2019 through 10 November 2019

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Cardell-Oliver R, Hübner C, Leopold M , Beringer J. Dataset: LoRa underground farm sensor network. In DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019. United State: Association for Computing Machinery (ACM). 2019. p. 26-28. (DATA 2019 - Proceedings of the 2nd ACM Workshop on Data Acquisition To Analysis, Part of SenSys 2019). doi: 10.1145/3359427.3361912

Dataset: LoRa underground farm sensor network

Abstract

Publication series

Conference

Access to Document

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LoRa Underground Farm Sensor Network

Cite this

Dataset: LoRa underground farm sensor network

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Datasets

LoRa Underground Farm Sensor Network

Cite this