ESG
This dataset comprises Bloomberg Terminal data from 2017 to 2021, detailing environmental footprints, disclosure practices, risk profiles, and ESG fund commitments of Fortune 500 companies. The data captures various dimensions of environmental, social, and governance (ESG) performance, providing a comprehensive view of corporate sustainability trends. It includes quantitative indicators and qualitative scores for companies' ESG strategies, enabling researchers to analyze ESG practices and trends over time.
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Objective. Currently, few non-invasive measures exist for directly measuring spinal sensorimotor networks. Electrospinography (ESG) is one non-invasive method but is primarily used to measure evoked responses or for monitoring the spinal cord during surgery. Our objectives for collecting this dataset were to evaluate the feasibility of ESG to measure spinal sensorimotor networks by determining spatiotemporal and functional connectivity changes during single-joint movements at the spinal and cortical levels.
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