IELTSData Reading Passage 111 – Right Whales

IELTSData Reading Passage 111 – Right Whales

IELTSData Reading Passage 111 – Right Whales Right Whales {A} They dive 600 feet, brushing their heads along the seafloor with raised, wartlike patches of skin, something swimming upside down, big as sunken galleons, hot-blooded and holding their breath in cold and utter darkness while the greatest tides on Earth surge by. Then they open […]

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IELTSData Reading Passage 110 – The Lost City

IELTSData Reading Passage 110 – The Lost City

IELTSData Reading Passage 110 – The Lost City The Lost City Thanks to modern remote-sensing techniques, a ruined city in Turkey is slowly revealing itself as one of the greatest and most mysterious cities of the ancient world. Sally Palmer uncovers more. {A} The low granite mountain, known as Kerkenes Dag, juts from the northern edge

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IELTSData Reading Passage 109 Carbon’s New Math

IELTSData Reading Passage 109 – Carbon’s New Math

IELTSData Reading Passage 109 Carbon’s New Math Carbon’s New Math To deal with global warming, the first step is to do the number. {A} Here’s how it works. Before the industrial revolution, the Earth’s atmosphere contained about 280 parts per million of carbon dioxide. That was a good amount of “good” defined as “what we

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Letter to council for the dirty street. GT Writing Task 1 (1)

Letter to Council for the Dirty Street. Gt Writing Task 1

Letter to council for the dirty street: Explain why it has become dirty recently What problem it has caused Give some suggestions. Dear Sir, I am writing to report the state of our street in recent times. I grew up in Beecroft, Essie town, and we have always had a good reputation for our cleanliness

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The Table Beneath Shows the Level of People Specialists in Various Kinds (2) (1)

The Table Beneath Shows the Level of People Specialists in Various Kinds

The table beneath shows the level of specialists in various kinds of enterprises in 1990, 2000, and 2010. Sum up the data by choosing and writing about the primary capacities and make correlations where fitting. The table chart demonstrates the proportion of men and women speciality in retailers, health, manufacturing and tourism in three distinctive

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