DecibelsChallenge_EnvironmentalData

DecibelsChallenge_EnvironmentalData

63YearsOfAir

For the fifth Decibels Challenge, the dataset provided was by Loud Numbers :https://github.com/loudnumbers/environmental_data

For this challenge, I wanted the sounds to represent the increase in CFCS gases as well as the accumulation of CO2 that is being seen annually. I decided to add an insect sample to the mix of sounds as a representation of the natural realm that is being affected by these changes.

Sounds

IllestPreacha · 63YearsOfAir

Data

Column usage in Code

  • year

    • Used as the counter between iterations
  • co2annual

    • Divided by 3.3, so the max note is 127

    • Represented by the Chiplead synth

        use_synth :chiplead
        play Environmental[i]["co2annual"].to_f/ 3
      
  • tempannual

    • using the data within this column to affect the rate of the following sounds (Guitar & Insects)

    • Acts as the background sound, heard throughout

  •   sample :guit_e_fifths, rate: Environmental[i]["tempannual"].to_f  # rate affected by tempannual
            sample "C:/SonicPi/SoundStreams/Samples/Samplings/Samplings/James/insect-19.wav", rate: Environmental[i]["tempannual"].to_f  # rate affected by tempannual
    
  • sunspots

    • Kept the range between 0 to 127 through the division of 2

    • Represented by the Piano Synth

        use_synth :piano
        play Environmental[i]["sunspots"].to_f/2 #range till 127
      
  • oilspills

    • Represented by a distorted Piano Synth
  •     with_fx :distortion do
    
          use_synth :piano
          play Environmental[i]["oilspills"].to_f/ 3, sustain: 2
    
        end
    
  • cfcs

    • With the numbers increasing but still falling in a range of 0.965 to 3.287, It was the perfect column to have as the sleep between each iteration.

        sleep Environmental[i]["cfcs"].to_f
      

Table

year

co2annual

tempannual

sunspots

oilspills

cfcs

1959

315.98

0.07

225.1

0

0.965

1960

316.91

0.03

159

0

0.984

1961

317.64

0.07

76.4

0

1.004

1962

318.45

0.05

53.4

0

1.026

1963

318.99

0.08

39.9

0

1.05

1964

319.62

-0.15

15

0

1.075

1965

320.04

-0.06

22

0

1.103

1966

321.37

-0.02

66.8

0

1.133

1967

322.18

0.01

132.9

0

1.166

1968

323.05

-0.06

150

0

1.201

1969

324.62

0.09

149.4

0

1.241

1970

325.68

0.05

148

36

1.284

1971

326.32

-0.05

94.4

32

1.331

1972

327.46

0.03

97.6

75

1.384

1973

329.68

0.2

54.1

59

1.441

1974

330.19

-0.05

49.2

117

1.505

1975

331.13

0.01

22.5

116

1.575

1976

332.03

-0.03

18.4

93

1.652

1977

333.84

0.21

39.3

86

1.735

1978

335.41

0.11

131

82

1.825

1979

336.84

0.22

220.1

92

1.919

1980

338.76

0.29

218.9

65

2.019

1981

340.12

0.35

198.9

61

2.123

1982

341.48

0.19

162.4

50

2.229

1983

343.15

0.35

91

65

2.336

1984

344.87

0.2

60.5

34

2.444

1985

346.35

0.17

20.6

41

2.549

1986

347.61

0.22

14.8

34

2.652

1987

349.31

0.34

33.9

38

2.753

1988

351.69

0.42

123

21

2.854

1989

353.2

0.31

211.1

45

2.957

1990

354.45

0.45

191.8

64

3.065

1991

355.7

0.42

203.3

37

3.177

1992

356.54

0.23

133

41

3.291

1993

357.21

0.27

76.1

42

3.4

1994

358.96

0.32

44.9

35

3.501

1995

360.97

0.48

25.1

53

3.588

1996

362.74

0.36

11.6

23

3.658

1997

363.88

0.5

28.9

38

3.711

1998

366.84

0.63

88.3

30

3.748

1999

368.54

0.42

136.3

25

3.773

2000

369.71

0.43

173.9

25

3.785

2001

371.32

0.55

170.4

21

3.787

2002

373.45

0.62

163.6

14

3.781

2003

375.98

0.63

99.3

23

3.768

2004

377.7

0.55

65.3

25

3.749

2005

379.98

0.7

45.8

25

3.727

2006

382.09

0.66

24.7

16

3.703

2007

384.02

0.66

12.6

15

3.677

2008

385.83

0.55

4.2

8

3.65

2009

387.64

0.66

4.8

9

3.623

2010

390.1

0.73

24.9

9

3.596

2011

391.85

0.63

80.8

5

3.569

2012

394.06

0.66

84.5

7

3.543

2013

396.74

0.68

94

38

3.517

2014

398.81

0.77

113.3

5

3.492

2015

401.01

0.92

69.8

8

3.466

2016

404.41

1.03

39.8

5

3.44

2017

406.76

0.95

21.7

6

3.415

2018

408.72

0.86

7

7

3.389

2019

411.66

0.98

3.6

3

3.364

2020

414.24

1.01

8.8

4

3.338

2021

416.45

0.86

29.6

6

3.312

2022

418.56

0.91

83

7

3.287

SonicPi Code

require 'csv'

Environmental = CSV.parse(File.read("C:/Creatuve Code Challenges/Sonification Challenges/May 2023/annual Tweaked- annual.csv"),headers: true)


#check if order is alright
#ranges from 1959 to 2022

puts Environmental[63][0]  #2022
puts Environmental[0][0]   #1959
puts Environmental[30][0]  #1989

i = 0

live_loop :sunspots_tempannual do
  use_bpm 120

  puts Environmental[i]["year"].to_i

  with_fx :echo, mix: 0.65 do
    use_synth :piano
    play Environmental[i]["sunspots"].to_f/2 #range till 127
  end

  with_fx :ping_pong do
    with_fx :ixi_techno, mix: rrand(0.1,0.3) do
      sample :guit_e_fifths, rate: Environmental[i]["tempannual"].to_f  # rate affected by tempannual
      sample "C:/SonicPi/SoundStreams/Samples/Samplings/Samplings/James/insect-19.wav", rate: Environmental[i]["tempannual"].to_f  # rate affected by tempannual
    end
  end


  sleep Environmental[i]["cfcs"].to_f

  if i >= 63
    i = 0
  end

  i +=  1

end

live_loop :c02annual do
  use_bpm 120

  puts Environmental[i]["year"].to_i

  with_fx :echo, mix: 0.65 do
    use_synth :chiplead
    play Environmental[i]["co2annual"].to_f/ 3.3  #range till 127
  end

  with_fx :distortion do

    use_synth :piano
    play Environmental[i]["oilspills"].to_f/ 3, sustain: 2

  end

  sleep Environmental[i]["cfcs"].to_f

  if i >= 63
    i = 0
  end

  i +=  1

end