from 5 organizations
from 5 organizations
What is the NES-LTER?
The Northeast U.S. Shelf (NES) Long-Term Ecological Research (LTER) project integrates observations, experiments, and models to understand and predict how planktonic food webs are changing in the region, and how those changes may impact the productivity of higher trophic levels.
The North Atlantic Right Whales depend upon a rich diet of copepods during their summer months in the Gulf of Maine and along the Northeast US Shelf. Understanding and predicting how changes in the ecosystem might affect the food chain leading up to these endangered whales is critical. Dr. Rubao Ji at the Woods Hole…READ MORE
Because we value data literacy, the NES-LTER is debuting a new webinar series with a new format! What: Ask a Scientist– Phytoplankton Fingerprinting: a DataJam dataset and its creator When: Thursday, Dec 16, 3:30-4:40 EST With Whom: PhD Candidate, Diana Fontaine, URI-GSO For Whom: NES-LTER Schoolyard Educators (you may sign up if you haven’t already) In this free one hour…READ MORE
While not all learners will become data scientists, they will all become data users and consumers. Visualizing, analyzing, and making decisions based on data are skills essential to 21st-century living: necessary for both work and personal life. The LTER Schoolyard program from the Woods Hole Oceanographic Institution is once again offering its Data Jam which emphasizes creativity in presenting data. Doing the Data…READ MORE
NES-LTER is pleased to announce our first data publication in collaboration with the Ocean Observatories Initiative (OOI): Sosik, H.M., T. Rynearson, S. Menden-Deuer, and OOI CGSN Data Team. 2021. Size-fractionated chlorophyll from water column bottle samples collected during NES-LTER Transect cruises, ongoing since 2017. ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/798bda0e9ddfeba20f2266e64cf4dd40 (Accessed YYYY-MM-DD) This data package…READ MORE
Our team of judges have reviewed 26 projects involving 83 students in grades 8-11 from Massachusetts. In our third year of competition, we’re seeing students challenging themselves with more advanced datasets and new creativity in communicating their data stories. In a challenging year of remote teaching and learning, the technology skills of students and teachers…READ MORE
The NES-LTER produces observational data, derived data products, and model data. Observational data are obtained in real-time from moored underwater instruments, underway and from sampling on research cruises, and post-cruise with laboratory analyses.