Discrete Dataset - A dataset for computing with operators defined on a finite chain

Discrete Dataset is a collection of the main operators defined on the finite chain L_n={0,1,...,n} up to n=11. These operators have been computationally generated, with the aim of being used to study properties of the operators. The easiest way to use these operators is with the Python package "DiscreteFuzzyOperators", published at https://zenodo.org/doi/10.5281/zenodo.5031268. It currently contains the following operators: For n=1,2,3,4, it contains: Discrete aggregation functions. Smooth discrete aggregation functions. Smooth and commutative discrete aggregation functions. Discrete conjunctions. Discrete disjunctions. Discrete t-norms. Discrete t-conorms. Discrete uninorms. Discrete negations. For n=5,6, it contains: Smooth and commutative discrete aggregation functions. Discrete conjunctions. Discrete disjunctions. Discrete t-norms. Discrete t-conorms. Discrete uninorms. Discrete negations. For n=7,8, it contains: Discrete t-norms. Discrete t-conorms. Discrete uninorms. Discrete negations. For n=9,10,11, it contains: Discrete t-norms. Discrete t-conorms. Discrete negations.