The second decade of the twenty-first century witnessed a new challenge in the handling of
microscopy data. Big data, data deluge, large data, data compliance, data analytics, data …

The Transportation Energy Resources from Renewable Agriculture Phenotyping Reference
Platform (TERRA-REF) provides a data and computation pipeline responsible for collecting …

The development of scientific predictive models has been of great interest over the decades.
A scientific model is capable of forecasting domain outcomes without the necessity of …

We introduce Xtract, an automated and scalable system for bulk metadata extraction from
large, distributed research data repositories. Xtract orchestrates the application of metadata …

The increasingly collaborative, globalized nature of scientific research combined with the
need to share data and the explosion in data volumes present an urgent need for a scientific …

This paper introduces Cybershuttle, a new type of user-facing cyberinfrastructure that
provides seamless access to a range of resources for researchers, enhancing their …

Deep learning (DL) networks are a popular choice for short-term load forecasting (STLF) in
the residential sector. Hybrid DL methodologies based on convolutional neural networks …

The availability and generation of digitized newspaper collections have provided
researchers in several domains with a powerful tool to advance their research. More …

Data management in scientific domains is more important than ever due to the increasing
availability of experimental data. Automatically integrating and managing the information …

An example method facilitates associating data objects with elements of a process to be
implemented via a process-based software application. The example method includes deter …