Basic Metadata Instrument ID 59534013 Instrument Name Agent-based energy-water Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2019-05-06T13:15:56 Release State released Release State Display Released Submitted 2019-05-06T16:59:34 Submitter ID 5324928 Submitter Name Casey...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2018-12-05T21:50:45 Release State released Release State Display Released Submitted 2018-12-05T20:28:24 Submitter ID 5324928 Submitter Name Casey Burleyson Internal...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2019-04-22T14:31:15 Release State released Release State Display Released Submitted 2019-04-22T21:30:35 Submitter ID 5324928 Submitter Name Casey Burleyson Internal...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2019-04-23T15:35:09 Release State released Release State Display Released Submitted 2019-04-23T22:34:49 Submitter ID 5324928 Submitter Name Casey Burleyson Internal...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2019-08-27T16:50:04 Release State released Release State Display Released Submitted 2019-08-27T23:49:05 Submitter ID 8697218 Submitter Name Benjamin GT Stuermer Internal...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2020-05-08T09:27:48 Release State released Release State Display Released Submitted 2020-05-08T16:27:14 Submitter ID 5324928 Submitter Name Casey Burleyson Internal...

Basic Metadata Instrument ID 59534010 Instrument Name BEND Model Project ID 595341002 Project Name Energy Water Nexus Release Date 2020-06-23T20:34:09 Release State released Release State Display Released Submitted 2020-06-24T00:19:02 Submitter ID 5324928 Submitter Name Casey Burleyson Internal...

As energy prices rise and climate change brings more extreme and frequent days of heating and cooling, households must allocate more of their income to energy bills, increasing their energy burden. Many strategies are employed to alleviate high energy burden, such as weatherization, energy...

The PNNL-PFAS database was constructed to provide quantitative infrared spectra of per- and polyfluoroalkyl substances (PFAS) in the gas phase. These fluorine-rich, organic compounds have been used as non-flammable solvents, cleaning agents, and in the manufacture of a diverse variety of consumer...

A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...

This website contains the dataset that was used for writing the manuscript "HT Model: Using the Molecular Transformer for predicting hydrotreating reactions" The dataset includes a collection of hydrotreating reactions compiled from 41 peer-reviewed literature sources. These sources contain...

Surface meteorological data collected from the PNNL - Sequim "Upstairs" Campus. The data is collected by various instruments manufactured by Campbell Scientific deployed on a 3m tripod. The variables measured at this station are wind direction, wind speed, air temperature, relative humidity, surface...

The utility of transfer learning to improve the performance of deep learning in axon segmentation Data NOTE: If the download button doesn't work, please find the data here . Data: All the input and labeled volumes tf-logs: Tensorflow logs, view with command "tensorboard --logdir [name of folder]"...

We have aggregated the most recent soil moisture datasets from a diverse range of sources, encompassing the Continental United States (CONUS). These sources encompass gridded data from remote sensing products, reanalysis products, machine learning-based projects, and land surface modeling products...

Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...