Observatory

TL;DR: The Lancet Countdown tracks progress on health and climate change and provides an independent assessment of the health effects of climate change, the implementation of the Paris Agreement, and the impact of the global warming in the coming years.

TL;DR: It is demonstrated that apoE but not apoB is required for HCV assembly, probably via a specific interaction with NS5A in purified HCV particles and HCV- infected cells, as demonstrated by coimmunoprecipitation.

TL;DR: The history of the dark matter problem can be traced back to at least the 1930s, but it was not until the early 1970s that the issue of missing matter was widely recognized as problematic as mentioned in this paper.

TL;DR: In this article, the first parallax measurements of the primary standard candles of the cosmological distance ladder, that involve astrometry collected by Gaia during the initial 14 months of science operation, are published in Gaia Data Release 1 (DR1) as part of the Tycho-Gaia Astrometric Solution (TGAS).

TL;DR: This paper describes new advances in component-based modeling using a framework called HydroCouple, which largely adopts the Open Modeling Interface (OpenMI) 2.0 interface definitions but demonstrates important advances for water resources modeling.

TL;DR: An observatory aimed at demonstrating the infrastructure required for surrogate monitoring in urban water systems and for capturing the dynamic behavior of stormwater-driven pollutant loads is described, and smart and adaptive sampling procedures implemented to improve data collection for developing surrogate relationships are described.

TL;DR: In this paper, the authors resolve spatial and temporal variance in DISSOLVED ORGANIC MATTER CHARACTERISTICS withIN COMBINED AGRICULTURAL and STORMWATER CONVEYANCES.

TL;DR: Functionality includes the ability to track equipment, deployments, calibrations, and other events related to monitoring site maintenance and to link this information to the observational data that they are collecting, which is imperative in ensuring the quality of sensor-based data products.