Read the full story at Waste360.
Food waste data collection has been largely inconsistent over the past few decades.
An increased focus on food insecurity and waste systems has improved data collection. U.S. Department of Agriculture (USDA) doled out $10.2 million to fund pilot projects aimed at food waste reduction and composting in 2022.
With the addition of funding from governmental, private and public entities, researchers across the globe are now honing in on solutions to food waste reduction. One such project dedicated to identifying and emerging trends has been a two-year effort at The Ohio State University (OSU).
Read the full story from PLOS.
A new computational system uses satellite data to identify sites on land where people dispose of waste, providing a new tool to monitor waste and revealing sites that may leak plastic into waterways.
Read the full story at Research Information.
Access to an open pool of existing third-party datasets offers many benefits alongside the obvious opportunities to reduce the cost of research projects: access to additional shared data can increase the depth and scope of what is possible within any individual study; financial barriers are reduced and accessibility is opened up to less advantaged scholars and institutions; and, at a global/societal level, new opportunities are created to increase scrutiny, collaboration, and the pace of learning.
However, while the will to share academic data is clearly growing, in many areas of study, there are still many practical barriers to greater implementation.
Read the full story at NextGov.
NASA’s Science Mission Directorate plans to give the broader research community access to its data, software, computing resources and collaboration tools. But that effort will take time and its own resources, prompting the agency to ask the open-source science community for its opinions on where to start.
Technological progress in cloud computing and network infrastructure has gotten to the point where remote users can access huge troves of data and tap into faraway computing resources, like those owned and operated by NASA. The potential for limitless input and innovation from unexpected—or underrepresented—corners of the research community can supercharge scientific discovery, SMD officials said in a request for information posted Thursday.
Read the full story in the New York Times.
New data shared with The New York Times reveals stark disparities in how different U.S. households contribute to climate change. Looking at America’s cities, a pattern emerges.
Read the full story at Centered.
Data is everywhere, and more is being collected as sensors and other Internet of Things devices become more common. The Great Lakes Observing System launched Seagull, a cloud-based platform, to give people in the Great Lakes region access to a plethora of real-time data about their surrounding waterways.
Seagull brings together data harvested from the region’s diverse sources into a unified, accessible platform. Some of the hundreds of sources include satellites, models, and sensor-equipped lake buoys. Seagull replaced GLOS’s legacy data portal that was not cloud-forward and had become outdated.
Read the full story from North Carolina State University.
Predicting snowfall from winter storms is tricky, in no small part because heavy snow and regions of mixed precipitation look very similar in weather radar imagery. Mixed precipitation falls as a blend of rain, freezing rain, sleet and snow and can be mistaken for heavy snow on radar imagery, while translating to less snow accumulation on the ground.
Information about the consistency of precipitation particles’ shapes and sizes, derived from weather radar, can help meteorologists distinguish between uniform and mixed precipitation. But visualizing that has traditionally been difficult, especially as precipitation features within a winter storm move in complicated ways, shifting through time and traveling with prevailing winds across a landscape.
To address this problem, researchers at North Carolina State University developed a new way to seamlessly integrate standard weather radar imagery and information about precipitation type, so that weather forecasters and atmospheric scientists can quickly and easily distinguish heavy snow from mixed precipitation and improve understanding of the dynamics of winter storms.
Read the full story at Inside Science Resources.
FAIRsharing.org is a curated, searchable registry of metadata standards; databases and repositories; and funder and journal policies that are relevant to specific domains or types of data…
FAIRsharing.org is a registry developed to help researchers and those who support them fulfill the FAIR principles by enabling them to readily locate the recommended metadata and reporting standards for particular domains or types of data, identify appropriate repositories for data storage and access, and reference journal and funder policies. As of this writing the site contains over 1600 records for standards, nearly 2000 records for databases/repositories, and over 150 records for policies.
Integral developed these interactive map resources as an easy-to-use PFAS regulatory reference that is current, complete, and supported by the literature. Click on individual states to learn more about their specific PFAS regulations for drinking water, groundwater, surface water, and fish tissue. A soil advisory map is coming soon.
Read the full story from the Champaign-Urbana News-Gazette.
Scientists will take to the sky over much of Champaign County to get a closer look below the earth later this month.
Area residents shouldn’t be alarmed if they spy a fast-moving helicopter towing what looks like a trampoline frame.
Beginning Nov. 19, as part of a project contracted by the Illinois State Geological Survey at the University of Illinois and funded by Champaign County, the helicopter will be mapping most of the county to provide a three-dimensional look at the Mahomet aquifer, which supplies hundreds of millions of gallons of water per day to East Central Illinois.