Artificial Intelligence

The dataset consists of a large collection of images of about 11,000 different species of birds, with a total of 5 million images. This dataset represents a valuable resource for researchers, conservationists, and bird enthusiasts alike, allowing for a more comprehensive understanding of the diversity and distribution of avian species around the world. The data could be used for a wide range of applications, including species identification, biodiversity monitoring, and ecological research.

This dataset was created by following these steps. First, online reviews of HMD VR devices are collected and refined. Second, variables are deduced from previous studies, and then appropriate keyword candidates for the deduced variables are selected. Topic modeling is conducted to examine whether the deduced variables sufficiently represent all the reviews, and other variables are added if necessary.

Mizo or Lushai language is the official language of Mizoram, a state in the north-eastern part of India. It is an under-resourced language that falls under the Tibeto-Burman language family and is highly tonal in nature. 

The dataset contains laser-induced fluorescence spectral data in different noise modes. We used sodium humate and glucose according to the prepared solutions.

First, we prepared 100 mg per liter of f sodium humate solution A and glucose solution B. Depending on the molecular weight, solution A was prepared using 100 ml of water and 0.0149 g of sodium humate. solution B was prepared using 100 ml of water and 0.01584 g of glucose.

Subsequently, solution A and solution B were mixed in a ratio of 1:29 to obtain 100 mg per liter of sodium humate and glucose solution C.