The phrase "and datasets needed" is correct and usable in written English.
It can be used when referring to the specific datasets that are required for a particular task or project.
Example: "To complete the analysis, we must gather all relevant documents and datasets needed for our research."
Alternatives: "and required datasets" or "and necessary datasets".
Some universities who responded to the survey said research was being hit not only by the loss of scientists, but the lack of computer power and datasets needed to run experiments on the scale now routine in industry.
Entire source code and datasets needed to reproduce all experiments and plots have been published as open-source software [36].
Here we provide all details and datasets needed to run the lab and discuss a series of assessments and possible exercises.
By selecting the extremes, we minimize the number of models and datasets needed to account for architecture.
Millions of human biological samples and associated health data are stored in research biobanks and constitute essential resources for biomedical researchers interested in accessing large and valuable datasets needed to study complex disease aetiology, improve diagnostics, and advance the agenda of personalized medicine.
A physical model was designed, built, and operated to collect the experimental datasets needed for model calibration.
Bioinformatics research in this field is hampered by the lack of publicly available benchmark datasets needed to evaluate and compare algorithms.
This means that different types of datasets needed to be handled, and that allowance be made for new types of dataset formats to be input to the simulation.
These results can facilitate prioritizing datasets needed to be represented and for planning research for true gaps in space and time.
The work presented in this article takes the opposite approach of starting from the requirements of the scientific record and exploring how software and electronic datasets need to be prepared in order to become useful parts of this record.
The introduction states, "the work presented in this article takes the opposite approach of starting from the requirements of the scientific record and exploring how software and electronic datasets need to be prepared in order to become useful parts of this record".
