%PDF-1.6
%
1 0 obj
<< /Metadata 3 0 R /OutputIntents [ << /DestOutputProfile 4 0 R /Info (U.S. Web Coated \(SWOP\) v2) /OutputCondition () /OutputConditionIdentifier (CGATS TR 001) /RegistryName (http://www.color.org) /S /GTS_PDFX /Type /OutputIntent >> ] /Pages 5 0 R /Type /Catalog >>
endobj
2 0 obj
<< /Author (Kids Academy) /CreationDate (D:20180728142657+03'00') /Creator (Adobe Illustrator CC 2017 \(Windows\)) /CreatorVersion (21.0.2) /GTS_PDFXVersion (PDF/X-4) /ModDate (D:20220119105440+00'00') /Producer (pikepdf 4.3.1) /Subject (Grade 1, Science, Physical Science) /Title (Sounds Are Everywhere! Printable Worksheet PDF) /Trapped /False >>
endobj
3 0 obj
<< /Subtype /XML /Type /Metadata /Length 142109 >>
stream
application/pdf
Sounds Are Everywhere! Printable Worksheet PDF
2022-01-19T04:54:40.428778-06:00
2022-01-19T10:54:40+00:00
2018-07-28T14:26:57+03:00
Adobe Illustrator CC 2017 (Windows)
256
196
JPEG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uuid:2ff2d147-507e-4352-87c2-e266d979aca2
xmp.did:2a8f4016-2c54-e940-999e-b8ea71965c0b
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
1
uuid:bf3d744e-7d5f-4c5c-9ed9-ebc44927d3ad
xmp.did:26b92546-32a9-0040-ad5e-9977834643e6
uuid:5D20892493BFDB11914A8590D31508C8
proof:pdf
saved
xmp.iid:1ba4aebb-88fe-f04d-984a-2201e8464873
2016-11-15T15:10:46+03:00
Adobe Illustrator CC 2014 (Windows)
/
saved
xmp.iid:2a8f4016-2c54-e940-999e-b8ea71965c0b
2018-07-28T14:26:48+03:00
Adobe Illustrator CC 2017 (Windows)
/
Print
False
True
1
595.000000
842.000000
Pixels
AGAvantGardeCyrBook
AGAvantGardeCyr
Book
TrueType
001.000
False
6775.ttf
RumRaisin-Regular
Rum Raisin
Regular
TrueType
Version 1.000
False
RumRaisin-Regular.ttf
SoftMarshmallow
Soft Marshmallow
Regular
Open Type
Version 1.00 August 24, 2016, initial release
False
Soft Marshmallow.otf
BarthowheelRegular
Barthowheel
Regular
TrueType
v1.0 - 12/14/2012
False
Barthowheel Regular.ttf
CreativeBlockBBBold
CreativeBlock BB
Bold
TrueType
Macromedia Fontographer 4.1 11/23/04
False
CREABBB_.TTF
CurseCasualRegular
Curse Casual
Regular
TrueType
Version 1.6 - 1/13/13
False
Curse Casual.ttf
DimboRegular
Dimbo
Regular
TrueType
Version 2 - August 1, 2012
False
Dimbo Regular.ttf
English111VivaceBT-Regular
English111 Vivace BT
Regular
TrueType
mfgpctt-v4.4 Dec 7 1998
False
english-111-vivace-bt.ttf
GelPenUpright
GelPenUpright
Medium
TrueType
Version 001.000
False
GelPenUpright.ttf
GelPenUprightHeavy
GelPenUprightHeavy
Heavy
TrueType
Version 001.000
False
GelPenUprightHeavy.ttf
GothamRounded-Book
Gotham Rounded
Book
Open Type
Version 1.200
False
Gotham Rounded Book.otf
GothamRounded-Bold
Gotham Rounded
Bold
Open Type
Version 1.200
False
GothamRoundedBold_21016.ttf
GranstanderClean
Granstander Clean
Regular
Open Type
Version 1.000
False
Grandstander-clean.otf
Muppets
Muppets
Regular
TrueType
Version 2
False
Muppets.ttf
MyriadPro-Regular
Myriad Pro
Regular
Open Type
Version 2.106;PS 2.000;hotconv 1.0.70;makeotf.lib2.5.58329
False
MyriadPro-Regular.otf
Veles-Bold
Veles
Bold
Open Type
Version 0.9.2
False
Veles-Bold.0.9.2.otf
Cyan
Magenta
Yellow
Black
Группа образцов по умолчанию
0
White
RGB
PROCESS
255
255
255
Black
RGB
PROCESS
35
31
32
CMYK Red
RGB
PROCESS
236
28
36
CMYK Yellow
RGB
PROCESS
255
241
0
CMYK Green
RGB
PROCESS
0
165
81
CMYK Cyan
RGB
PROCESS
0
173
238
CMYK Blue
RGB
PROCESS
46
49
145
CMYK Magenta
RGB
PROCESS
235
0
139
C=15 M=100 Y=90 K=10
RGB
PROCESS
190
30
45
C=0 M=90 Y=85 K=0
RGB
PROCESS
238
64
54
C=0 M=80 Y=95 K=0
RGB
PROCESS
240
90
40
C=0 M=50 Y=100 K=0
RGB
PROCESS
246
146
30
C=0 M=35 Y=85 K=0
RGB
PROCESS
250
175
64
C=5 M=0 Y=90 K=0
RGB
PROCESS
249
236
49
C=20 M=0 Y=100 K=0
RGB
PROCESS
214
222
35
C=50 M=0 Y=100 K=0
RGB
PROCESS
139
197
63
C=75 M=0 Y=100 K=0
RGB
PROCESS
55
179
74
C=85 M=10 Y=100 K=10
RGB
PROCESS
0
147
69
C=90 M=30 Y=95 K=30
RGB
PROCESS
0
104
56
C=75 M=0 Y=75 K=0
RGB
PROCESS
41
180
115
C=80 M=10 Y=45 K=0
RGB
PROCESS
0
166
156
C=70 M=15 Y=0 K=0
RGB
PROCESS
38
169
224
C=85 M=50 Y=0 K=0
RGB
PROCESS
27
117
187
C=100 M=95 Y=5 K=0
RGB
PROCESS
43
56
143
C=100 M=100 Y=25 K=25
RGB
PROCESS
38
34
97
C=75 M=100 Y=0 K=0
RGB
PROCESS
101
45
144
C=50 M=100 Y=0 K=0
RGB
PROCESS
144
39
142
C=35 M=100 Y=35 K=10
RGB
PROCESS
158
31
99
C=10 M=100 Y=50 K=0
RGB
PROCESS
217
28
92
C=0 M=95 Y=20 K=0
RGB
PROCESS
236
41
123
C=25 M=25 Y=40 K=0
RGB
PROCESS
193
180
154
C=40 M=45 Y=50 K=5
RGB
PROCESS
154
132
121
C=50 M=50 Y=60 K=25
RGB
PROCESS
113
101
88
C=55 M=60 Y=65 K=40
RGB
PROCESS
90
74
66
C=25 M=40 Y=65 K=0
RGB
PROCESS
195
153
107
C=30 M=50 Y=75 K=10
RGB
PROCESS
168
124
79
C=35 M=60 Y=80 K=25
RGB
PROCESS
138
93
59
C=40 M=65 Y=90 K=35
RGB
PROCESS
117
76
40
C=40 M=70 Y=100 K=50
RGB
PROCESS
96
56
19
C=50 M=70 Y=80 K=70
RGB
PROCESS
59
35
20
R=197 G=197 B=197
PROCESS
100.000000
RGB
196
196
196
R=49 G=50 B=52
PROCESS
100.000000
RGB
49
49
52
R=216 G=114 B=164
PROCESS
100.000000
RGB
216
114
163
R=12 G=13 B=17
PROCESS
100.000000
RGB
12
12
17
R=171 G=102 B=204
PROCESS
100.000000
RGB
170
102
204
R=132 G=152 B=31
PROCESS
100.000000
RGB
131
151
31
R=153 G=166 B=55
PROCESS
100.000000
RGB
153
165
54
R=61 G=89 B=11
PROCESS
100.000000
RGB
61
89
10
R=103 G=69 B=2
PROCESS
100.000000
RGB
103
68
1
R=85 G=116 B=26
PROCESS
100.000000
RGB
84
116
26
R=58 G=45 B=0
PROCESS
100.000000
RGB
58
45
0
R=97 G=78 B=22
PROCESS
100.000000
RGB
96
77
22
R=42 G=31 B=0
PROCESS
100.000000
RGB
42
31
0
R=125 G=88 B=19
PROCESS
100.000000
RGB
124
87
19
R=50 G=38 B=0
PROCESS
100.000000
RGB
49
38
0
R=107 G=86 B=27
PROCESS
100.000000
RGB
107
86
26
Новый образец цвета 99
PROCESS
100.000000
RGB
165
94
52
Новый образец цвета 84
PROCESS
100.000000
RGB
196
119
58
Новый образец цвета 109
PROCESS
100.000000
RGB
235
191
130
Новый образец цвета 102
PROCESS
100.000000
RGB
228
175
103
Новый образец цвета 94
PROCESS
100.000000
RGB
226
163
89
Новый образец цвета 103
PROCESS
100.000000
RGB
161
89
45
Новый образец цвета 92
PROCESS
100.000000
RGB
214
144
75
Новый образец цвета 87
PROCESS
100.000000
RGB
172
98
47
Новый образец цвета 85
PROCESS
100.000000
RGB
186
116
58
Новый образец цвета 89
PROCESS
100.000000
RGB
228
175
116
Новый образец цвета 108
PROCESS
100.000000
RGB
214
153
93
Новый образец цвета 97
PROCESS
100.000000
RGB
205
140
80
Новый образец цвета 121
PROCESS
100.000000
RGB
251
235
207
Новый образец цвета 120
PROCESS
100.000000
RGB
242
218
186
Новый образец цвета 56
PROCESS
100.000000
RGB
124
63
33
Новый образец цвета 69
PROCESS
100.000000
RGB
94
47
26
Новый образец цвета 73
PROCESS
100.000000
RGB
205
133
66
Новый образец цвета 76
PROCESS
100.000000
RGB
191
112
51
Новый образец цвета 58
PROCESS
100.000000
RGB
172
93
40
Новый образец цвета 63
PROCESS
100.000000
RGB
154
82
35
Новый образец цвета 59
PROCESS
100.000000
RGB
140
70
36
Новый образец цвета 79
PROCESS
100.000000
RGB
154
89
49
Новый образец цвета 78
PROCESS
100.000000
RGB
158
86
43
Новый образец цвета 60
PROCESS
100.000000
RGB
214
144
73
Новый образец цвета 67
PROCESS
100.000000
RGB
200
124
58
Новый образец цвета 61
PROCESS
100.000000
RGB
175
100
47
R=35 G=31 B=32
PROCESS
100.000000
RGB
35
31
31
C=54 M=16 Y=10 K=18
PROCESS
100.000000
RGB
97
152
178
C=40 M=10 Y=0 K=1
PROCESS
100.000000
RGB
198
0
0
C=2 M=0 Y=69 K=0
PROCESS
100.000000
RGB
255
0
0
R=0 G=35 B=179
PROCESS
100.000000
RGB
0
35
179
R=0 G=0 B=116
PROCESS
100.000000
RGB
0
0
116
R=254 G=210 B=150
PROCESS
100.000000
RGB
253
209
149
C=0 M=34 Y=100 K=0
PROCESS
100.000000
RGB
251
142
22
C=0 M=19 Y=100 K=0
PROCESS
100.000000
RGB
255
204
5
R=211 G=227 B=235
PROCESS
100.000000
RGB
211
226
235
R=54 G=53 B=45
PROCESS
100.000000
RGB
54
52
45
R=246 G=165 B=80
PROCESS
100.000000
RGB
246
165
80
R=180 G=134 B=87
PROCESS
100.000000
RGB
179
133
86
R=242 G=163 B=80
PROCESS
100.000000
RGB
242
163
80
R=140 G=198 B=63
PROCESS
100.000000
RGB
140
198
63
R=57 G=181 B=74
PROCESS
100.000000
RGB
56
181
73
R=122 G=73 B=63
PROCESS
100.000000
RGB
121
73
63
C=0 M=10 Y=100 K=0
PROCESS
100.000000
RGB
255
221
0
C=40 M=20 Y=20 K=100
PROCESS
100.000000
RGB
0
8
15
C=30 M=0 Y=0 K=7
PROCESS
100.000000
RGB
159
209
233
C=0 M=0 Y=7 K=5
PROCESS
100.000000
RGB
242
240
226
C=0 M=55 Y=12 K=0
PROCESS
100.000000
RGB
243
143
169
C=0 M=15 Y=100 K=0
PROCESS
100.000000
RGB
255
212
0
C=10 M=45 Y=0 K=12
PROCESS
100.000000
RGB
197
140
177
R=149 G=203 B=209
PROCESS
100.000000
RGB
149
202
209
R=216 G=169 B=65
PROCESS
100.000000
RGB
216
168
65
R=228 G=185 B=79
PROCESS
100.000000
RGB
228
184
79
R=226 G=101 B=96
PROCESS
100.000000
RGB
226
100
96
R=61 G=61 B=61
PROCESS
100.000000
RGB
61
61
61
C=0 M=40 Y=100 K=0
PROCESS
100.000000
RGB
250
165
25
R=148 G=173 B=137
PROCESS
100.000000
RGB
147
172
137
R=247 G=203 B=203
PROCESS
100.000000
RGB
246
202
202
R=164 G=188 B=155
PROCESS
100.000000
RGB
163
188
154
R=142 G=102 B=141
PROCESS
100.000000
RGB
142
102
140
R=154 G=117 B=151
PROCESS
100.000000
RGB
154
117
151
R=206 G=77 B=77
PROCESS
100.000000
RGB
205
77
77
C=0 M=75 Y=52 K=0
PROCESS
100.000000
RGB
235
94
98
C=24 M=100 Y=100 K=25
PROCESS
100.000000
RGB
154
25
20
C=47 M=7 Y=100 K=0
PROCESS
100.000000
RGB
157
186
29
C=60 M=17 Y=91 K=2
PROCESS
100.000000
RGB
120
162
62
C=38 M=0 Y=100 K=0
PROCESS
100.000000
RGB
179
203
5
C=67 M=29 Y=100 K=12
PROCESS
100.000000
RGB
97
131
44
C=58 M=7 Y=100 K=0
PROCESS
100.000000
RGB
125
176
41
C=66 M=24 Y=94 K=7
PROCESS
100.000000
RGB
101
144
56
C=50 M=0 Y=100 K=10
PROCESS
100.000000
RGB
138
179
29
C=45 M=0 Y=100 K=0
PROCESS
100.000000
RGB
162
197
22
C=62 M=22 Y=94 K=4
PROCESS
100.000000
RGB
113
152
57
C=65 M=24 Y=100 K=7
PROCESS
100.000000
RGB
103
144
46
C=20 M=0 Y=52 K=0
PROCESS
100.000000
RGB
217
227
151
C=37 M=0 Y=86 K=0
PROCESS
100.000000
RGB
182
206
65
C=72 M=30 Y=40 K=3
PROCESS
100.000000
RGB
77
142
149
C=8 M=0 Y=10 K=0
PROCESS
100.000000
RGB
239
246
236
C=41 M=0 Y=10 K=0
PROCESS
100.000000
RGB
160
215
230
C=34 M=0 Y=10 K=0
PROCESS
100.000000
RGB
179
222
232
C=47 M=0 Y=100 K=0
PROCESS
100.000000
RGB
158
196
25
C=0 M=19 Y=67 K=0
PROCESS
100.000000
RGB
254
210
103
C=1 M=9 Y=46 K=0
PROCESS
100.000000
RGB
255
230
158
C=25 M=100 Y=100 K=24
PROCESS
100.000000
RGB
155
25
21
C=15 M=100 Y=90 K=10
PROCESS
100.000000
RGB
190
22
33
C=61 M=13 Y=100 K=1
PROCESS
100.000000
RGB
119
166
44
PANTONE 185 CP
PROCESS
100.000000
RGB
238
55
61
FOCOLTONE 3493
PROCESS
100.000000
RGB
140
40
3
FOCOLTONE 1158
PROCESS
100.000000
RGB
148
169
36
FOCOLTONE 1146
PROCESS
100.000000
RGB
175
179
21
TRUMATCH 8-d1
PROCESS
100.000000
RGB
236
176
118
C=21 M=8 Y=4 K=0
PROCESS
100.000000
RGB
210
223
237
Yellow 50
PROCESS
100.000000
RGB
255
253
230
Yellow 100
PROCESS
100.000000
RGB
255
249
195
Yellow 300
PROCESS
100.000000
RGB
255
240
117
Yellow 500 - Primary
PROCESS
100.000000
RGB
255
235
59
Amber 500
PROCESS
100.000000
RGB
255
193
7
Orange 500 - Primary
PROCESS
100.000000
RGB
255
151
0
Deep Orange 500 - Primary
PROCESS
100.000000
RGB
255
86
33
Red 500 - Primary
PROCESS
100.000000
RGB
244
66
54
R=41 G=197 B=218
PROCESS
100.000000
RGB
40
196
218
R=249 G=211 B=0 2
PROCESS
100.000000
RGB
249
211
0
R=28 G=154 B=181 2
PROCESS
100.000000
RGB
28
154
181
R=40 G=77 B=89 2
PROCESS
100.000000
RGB
40
77
89
R=254 G=186 B=173 3
PROCESS
100.000000
RGB
253
186
172
R=237 G=28 B=36
PROCESS
100.000000
RGB
237
28
35
R=209 G=41 B=41 2
PROCESS
100.000000
RGB
209
40
40
R=8 G=134 B=160
PROCESS
100.000000
RGB
8
133
160
R=115 G=181 B=198
PROCESS
100.000000
RGB
114
181
198
R=107 G=125 B=0 copy 2
PROCESS
100.000000
RGB
107
124
0
R=115 G=190 B=0
PROCESS
100.000000
RGB
114
189
0
R=177 G=226 B=0
PROCESS
100.000000
RGB
177
226
0
R=60 G=36 B=21
PROCESS
100.000000
RGB
59
35
21
R=237 G=201 B=0 2
PROCESS
100.000000
RGB
237
200
0
R=254 G=186 B=173 4
PROCESS
100.000000
RGB
253
186
172
R=252 G=67 B=23
PROCESS
100.000000
RGB
251
66
22
R=156 G=27 B=17
PROCESS
100.000000
RGB
156
26
17
R=173 G=237 B=241 4
PROCESS
100.000000
RGB
172
237
240
R=255 G=226 B=0
PROCESS
100.000000
RGB
255
226
0
R=255 G=255 B=252
PROCESS
100.000000
RGB
255
255
251
R=184 G=238 B=255
PROCESS
100.000000
RGB
184
237
255
R=89 G=74 B=66
PROCESS
100.000000
RGB
89
73
66
R=28 G=154 B=181 3
PROCESS
100.000000
RGB
28
154
181
R=235 G=133 B=0
PROCESS
100.000000
RGB
235
133
0
R=252 G=112 B=56
RGB
PROCESS
252
112
56
Grays
1
C=0 M=0 Y=0 K=100
RGB
PROCESS
35
31
32
C=0 M=0 Y=0 K=90
RGB
PROCESS
64
64
65
C=0 M=0 Y=0 K=80
RGB
PROCESS
88
89
91
C=0 M=0 Y=0 K=70
RGB
PROCESS
109
110
112
C=0 M=0 Y=0 K=60
RGB
PROCESS
128
129
132
C=0 M=0 Y=0 K=50
RGB
PROCESS
146
148
151
C=0 M=0 Y=0 K=40
RGB
PROCESS
166
168
171
C=0 M=0 Y=0 K=30
RGB
PROCESS
187
189
191
C=0 M=0 Y=0 K=20
RGB
PROCESS
208
210
211
C=0 M=0 Y=0 K=10
RGB
PROCESS
230
231
232
C=0 M=0 Y=0 K=5
RGB
PROCESS
241
241
242
Brights
1
C=0 M=100 Y=100 K=0
RGB
PROCESS
236
28
36
C=0 M=75 Y=100 K=0
RGB
PROCESS
241
101
34
C=0 M=10 Y=95 K=0
RGB
PROCESS
255
221
21
C=85 M=10 Y=100 K=0
RGB
PROCESS
0
161
75
C=100 M=90 Y=0 K=0
RGB
PROCESS
34
64
153
C=60 M=90 Y=0 K=0
RGB
PROCESS
127
63
151
pikepdf 4.3.1
False
21.0.2
PDF/X-4
PDF/X-4
Kids AcademyGrade 1, Science, Physical Science
endstream
endobj
4 0 obj
<< /N 4 /Length 383978 /Filter /FlateDecode >>
stream
xPS]((*bAEl(
X ET(H=+HB)6+k9{{+'fg^$@A@=@EcHLr-M9??kI^LI-N6o_ds'@Ix=\XilnAix{@Ļ6&Mn6)X&Զus wA -1&5qw~"85q]d̡0gG5p*DQfzqc@J~Rc$[:{(ԝ s%)3@ޛ˦NXfN9syisrDW2ʙjP(^?EpDx@/,q.͒-(_6vN@EMd)U!кCa#G]sG=; _N|OJ:)oگ3d}~6U'
M_B;`u
CHL>6w8 xIKs(oh=S"9'|Wp䬴Sf(EjzfvAE闲*z
QQ7QpհG7j:Ժ-}OGP羮Оޘ'QCa)iيs5#}ό]pK.suڸ5.7;.AC㣚ǍOZv>ybWO^ykޟv5[?sI;_Sܘ1i36͌JUd
/Xa0nϢxXwU+b5onK*WFڽ#eS惞^[ߺ{/7߈P@Ϯݍ{A{~AF(-NEӢhf,(7Lx\/3_T$mri.