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Template for Data Descriptor submissions to Scientific Data
This is a manuscript template for Data Descriptor submissions to Scientific Data.
Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets. Their primary article-type, the Data Descriptor, is designed to make your data more discoverable, interpretable and reusable.
This template is provided by Scientific Data and Overleaf to make it easier for you and your co-authors to write your papers collaboratively online.
Once your Data Descriptor article is complete, you can submit directly to the Scientific Data editorial team from within Overleaf with just a couple of clicks.
To start writing your paper simply click the 'Open as Template' button above, and if you have any questions please get in touch. Prospective authors may also contact the journal at firstname.lastname@example.org.
Scientific Data (Nature Publishing Group)
The following project is in the field of combinatorics. It is a broad summary of the probabilistic method. Basic definitions and theorems, needed for the proper use of the probabilistic method, are introduced. Simple examples are provided in order to illustrate the theory in practice and to introduce the method itself. The project focuses on competitive problems from major national and international competitions, in whose solutions could be used probabilistic method, contributing to their briefness. One of our main aims is demonstrating the broad application of the probabilistic method not only in some theoretical fields of mathematics, but also in competitive problems. The problems in the abstract are with increased difficulty and we believe, they can serve as a preparation for mathematical olympiads and competititons.