Ernesto vs Bastian & Kay Wilder / Shiny Appy People
Жанр: Trance
Год издания диска: 2011
Издатель (лейбл): Captivating Sounds
Номер по каталогу: CVSA143
Аудиокодек: FLAC (*.flac)
Тип рипа: tracks
Битрейт аудио: lossless
Продолжительность: 00:16:53
Источник (релизер): TR
Наличие сканов в содержимом раздачи: нет
Треклист:
1. (00:07:17) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Original Mix)
2. (00:05:12) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Intro Mix)
3. (00:04:24) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Radio Edit)
nfo
Artist(s) ..........: Ernesto vs Bastian & Kay Wilder
Title ..............: Shiny Appy People
Genre ..............: Trance
Record Label .......: Captivating Sounds
Catalogue Number ...: CVSA143
Source ............:: WEB
Quality ...........:: LOSSLESS
Tracks .............: 03
Release Date .......: 7 November 2011
Tracklist ..........:
1. (00:07:17) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Original Mix)
2. (00:05:12) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Intro Mix)
3. (00:04:24) Ernesto vs Bastian & Kay Wilder - Shiny Appy People (Radio Edit)
Playing Time.........: 00:16:53
Total Size...........: 124 MB
Лог проверки качества
AUDIOCHECKER v1.2 - by Dester - opdester@freemail.hu
~~~~~~~~~~~~~~~~~
1 -===- C:\Users\dns\Desktop\Ernesto_vs_Bastian_and_Kay_Wilder-Shiny_Appy_People-(CVSA143)-WEB-2011-LOSSLESS\01-ernesto_vs_bastian_and_kay_wilder-shiny_appy_people__original_mix.flac
Extracted successfully
Conclusion: This track looks like CDDA with probability 99%
2 -===- C:\Users\dns\Desktop\Ernesto_vs_Bastian_and_Kay_Wilder-Shiny_Appy_People-(CVSA143)-WEB-2011-LOSSLESS\02-ernesto_vs_bastian_and_kay_wilder-shiny_appy_people__intro_mix.flac
Extracted successfully
Conclusion: This track looks like CDDA with probability 100%
3 -===- C:\Users\dns\Desktop\Ernesto_vs_Bastian_and_Kay_Wilder-Shiny_Appy_People-(CVSA143)-WEB-2011-LOSSLESS\03-ernesto_vs_bastian_and_kay_wilder-shiny_appy_people__radio_edit.flac
Extracted successfully
Conclusion: This track looks like CDDA with probability 99%
