Scientific datasets are often difficult to analyse or visualise, due to their large size and high dimensionality. We propose a multistep approach to address this problem. We begin by using data management techniques to identify areas of interest within the dataset. This allows us to reduce a dataset’s size and dimensionality, and to estimate missing values or correct erroneous entries. We displ...

Endemic planktonic diatoms are a major component of Lake Baikal sediments during interglacial periods. To investigate how these diatom assemblages are altered during sediment formation, quantitative plankton monitoring (1995–1998) was integrated with sediment trapping over 2 yr (1996–1997) in Baikal’s southern basin (depth ;1,400 m). The traps consisted of both open (;6 monthly) and sequential ...

Yessotoxins(YTXs) is a phycotoxin produced by phytoplankton that has been reported as cardiotoxic and have been detected in microalgae and/or bivalve molluscs in many countries. Their presence in shellfish was discovered due to their high acute toxicity in mice after i.p. injection of lipophilic extracts. YTXs in sediment, seawater, plankton and shellfish in the northern Yellow Sea of China wer...

Scientific datasets are often difficult to analyse or visualise, due to their large size and high dimensionality. We propose a multistep approach to address this problem. We begin by using data management techniques to identify areas of interest within the dataset. This allows us to reduce a dataset’s size and dimensionality, and to estimate missing values or correct erroneous entries. We displ...

Scientific datasets are often difficult to analyse or visualize, due to their large size and high dimensionality. We propose a twostep approach to address this problem. We begin by using data mining algorithms to identify areas of interest within the dataset. This allows us to reduce a dataset’s size and dimensionality, and to estimate missing values or correct erroneous entries. We display the...