Dataset with very long author list

Version 1.0
Zigzag, Zara; Bumble, Bumblebee; Flapdoodle, Fergus; Wobble, Wanda; Doodle, Dandy; Fizzle, Fandango; Quibble, Quokka; Zig, Zag; Noodle, Nonsensica; Whimsy, Wilbur; Kaleidoscope, Kiki; Jellybean, Jasper; Malarkey, Millicent; Bamboozle, Benny; Gibberish, Gigi; Flap, Doodle; Squiggly, Squeegee; Gobbledygook, Gabby; Noodlehead, Nellie; Wacky, Wilma; Sprocket, Spanner; Squishy, Squash; Flimflam, Flossie; Zany, Zippy; Jibberjabber, Jake; Dingleberry, Daisy; Whatchamacallit, Wendy; Scribble, Scrabble; Ballyhoo, Billy; Wiggle, Wobble; Razzmatazz, Ruby; Hocus, Pocus; Mumbo, Jumbo; Wobble, Widget; Fiddlesticks, Fandango; Kookaburra, Kiki; Jibber, Jabber; Gobbledygook, Gabby; Bazinga, Benny; Noodlehead, Nellie; Wacky, Wilma; Bibble, Bobble; Dingdong, Daisy; Flippity, Flop; Noodlebrain, Nutty; Sizzle, Sparkle; Ballyhoo, Benny; Kerfuffle, Kiki; Flibbertigibbet, Fergus; Rigmarole, Rosie; Zigzag, Zephyr; Brouhaha, Bruno; Kaleidoscope, Kookaburra; Whatchamacallit, Wendy; Scribble, Scrabble; Bamboozle, Billy; Gobbledygook, Gigi; Flap, Doodle; Squiggly, Squeegee; Gobbledygook, Gabby; Bazinga, Benny; Noodlehead, Nellie; Wacky, Wilma; Sprocket, Spanner; Squishy, Squash; Flimflam, Flossie; Zany, Zippy; Jibberjabber, Jake; Dingleberry, Daisy; Flapdoodle, Fandango; Bumble, Bumblebee; Zigzag, Zara; Wobble, Wanda; Ballyhoo, Billy; Rigmarole, Rosie; Babble, Bubba; Jingle, Jangle; Squabble, Squeezy; Kookaburra, Kiki; Wacky, Wilma; Razzle, Ruby; Hocus, Pocus; Mumbo, Jumbo; Wobble, Widget; Fiddlesticks, Fandango; Babble, Bubba; Noodlehead, Nellie; Wacky, Wilma; Sprocket, Spanner; Squishy, Squash; Flimflam, Flossie; Zany, Zippy; Jibberjabber, Jake; Dingleberry, Daisy; Flapdoodle, Fandango; Bumble, Bumblebee; Zigzag, Zara; Wobble, Wanda; Ballyhoo, Billy; Rigmarole, Rosie; Babble, Bubba; Smith, John; Johnson, Emily; Brown, David; Wilson, Sarah; Lee, Michael; Anderson, Jessica; Martinez, Carlos; White, Laura; Thomas, Robert; Hall, Jennifer; Garcia, Maria; Davis, Richard; Clark, Susan; Walker, Peter; Harris, Amanda; Young, Christopher; Moore, Jennifer; King, William; Turner, Sarah; Wright, Michael; Robinson, Linda; Perez, Jose; Hall, Mary; Sanchez, Daniel; Lopez, Jessica; Miller, James; Hernandez, Anna; Gonzalez, Kevin; Wood, Patricia; Allen, Christopher; Young, Michelle; Scott, Robert; Adams, Laura; Cook, David; Bailey, Susan; Nelson, Richard; Cruz, Maria; Mitchell, William; Gomez, Laura; Kelly, Joseph; Baker, Sarah; Turner, Daniel; Adams, Jennifer; Lewis, William; Moore, Emily; Allen, Christopher; Scott, Maria; Hernandez, Robert; Gonzalez, Laura; Davis, Michael; Smith, Sarah; Johnson, David; Brown, Emily; Wilson, John; Lee, Patricia; Anderson, Susan; Martinez, Michael; White, Jennifer; Thomas, Daniel; Hall, Maria; Garcia, Robert; Davis, Laura; Clark, Michael; Walker, Sarah; Harris, Christopher; Young, Amanda; Moore, William; King, Jessica; Turner, Richard; Wright, Laura; Robinson, Daniel; Perez, Jennifer; Hall, William; Sanchez, Sarah; Lopez, Daniel; Miller, Maria; Hernandez, David; Gonzalez, Emily; Wood, Christopher; Allen, Patricia; Young, Robert; Scott, Laura; Adams, Daniel; Cook, Jennifer; Bailey, Michael; Nelson, Susan; Cruz, William; Mitchell, Laura; Lewis, Michael; Moore, Maria; Allen, David; Scott, Jennifer; Hernandez, Robert; Gonzalez, Laura; Wood, Daniel; Robinson, Emily; Perez, John; Hall, Jessica; Sanchez, William, 2023, "Dataset with very long author list", https://doi.org/10.5072/FK2/RZVDYB, Root, V1
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Description
The study encompasses a diverse range of data sources, including satellite imagery, weather records, soil quality measurements, and historical crop yield data. Advanced machine learning algorithms and data mining methods were employed to uncover hidden patterns and relationships within the data. These insights have enabled the development of predictive models that take into account various factors, such as weather conditions, soil health, and farming practices, to offer precise crop yield projections. (2023-10-12)
Subject Agricultural Sciences
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