In recent years, Earth observation (EO) satellites have generated big amounts of geospatial
data that are freely available for society and researchers. This scenario brings challenges for …

Newborn screening (NBS) dramatically improves outcomes in severe childhood disorders
by treatment before symptom onset. In many genetic diseases, however, outcomes remain …

Summary anndata is a Python package for handling annotated data matrices in memory and
on disk (github. com/theislab/anndata), positioned between pandas and xarray. anndata …

Spatial Data Science introduces fundamental aspects of spatial data that every data scientist
should know before they start working with spatial data. These aspects include how …

Generating insight from high-dimensional data matrices typically works through training
models that annotate observations and variables via low-dimensional representations. In …

Large-scale data analytics using statistical machine learning (ML), popularly called
advanced analytics, underpins many modern data-driven applications. The data …

The rapid growth of remote sensing big data (RSBD) has attracted considerable attention
from both academia and industry. Despite the progress of computer technologies …

Motivation Whole-genome sequencing (WGS) data are being generated at an
unprecedented rate. Analysis of WGS data requires a flexible data format to store the …

We present VStore, a data store for supporting fast, resource-efficient analytics over large
archival videos. VStore manages video ingestion, storage, retrieval, and consumption. It …

Data-intensive applications fueled the evolution of log structured merge (LSM) based key-
value engines that employ the out-of-place paradigm to support high ingestion rates with low …