Sentence examples for equally diverse set of from inspiring English sources

Congressional fans of the idea have proposed that Climate Services grow to be a $300 million clearinghouse for climate prediction tools, adaptation services, and analytical data streams to equal the National Weather Service with an equally diverse set of customers in business and government who want to know what the changing climate will mean for them.

In commissioning the photography for magazine stories, we have collaborated with an equally diverse set of photographers, each of whom has brought a distinct creative spirit to the magazine.

With this comes the realization that hominins reacted to an equally diverse set of ecological parameters, each of which determined to some extent where, when, and how they chose to concentrate, or not concentrate, their activities across ancient landscapes.

Pigments and coloration patterns in nature are both numerous and diverse [1], with an equally diverse set of functions and roles.

Collecting and categorising future-related information happens for a diverse set of intentions and yields as diverse sets of results.

If poverty is a complex system of negative feedback loops, then you have to create an equally complex and diverse set of positive feedback loops.

So far, many people have commented that they like this eclectic mix of robotics and the domestic because it helps them imagine a technology future designed by an equally eclectic and diverse set of technology producers.

People may associate me with championing getting more women into science, but I equally believe that a more diverse set of MPs – which would include more women but in this context also imply a shift from lawyers and PPE graduates to spread to a much greater range of disciplines – would improve our policies and law-making.

Project X prompted a highly diverse set of critical reactions, as measured by MetaCritic.

Berlin's decentralized accommodation system comprises a very diverse set of non-commercial and private operators and sites that are relatively equally distributed throughout the city (see Map 2).

But, as some astute readers in the comment section of our prior post pointed out, it certainly can seem dangerous to mine a large and diverse set of data created by startups (and in turn by actual — and equally diverse — human beings) to claim that the world has found one single, ultimate cause of failure that can be used as a prescription for startups of every stripe, across the board.