Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from KPBS field site in Manhattan, KS. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
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Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from COBS field site in Boone County, IA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
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Complete replicate terabase metagenome (TmG.2.0) of grassland soil microbiome collections from IAREC field site in Prosser, WA. Metagenome (unclassified soil sequencing) Data DOI Package, version 2.0.
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Viral communities detected from three large grassland soil metagenomes with historically different precipitation moisture regimes.
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Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Q Exactive™ Plus Mass Spectrometer benchtop LC-MS/MS system combines quadruple precursor ion selection with high-resolution, accurate-mass (HRAM) Orbitrap detection to deliver exceptional performance and versatility...
Bruker Daltonics SolariX Magnetic Resonance Mass Spectrometry (MRMS) instruments are available for different magnetic field strengths of 7T, 12T and 15T. The SolariX XR and 2xR instruments use magnetron control technology and a newly developed, high sensitivity, low noise preamplifier to exploit...
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Last updated on 2024-03-03T02:26:52+00:00 by LN Anderson The Thermo Scientific™ Velos Pro™ Orbitrap Mass Spectrometer instrument data source combines advanced mass accuracy with an ultra-high resolution Orbitrap mass analyzer for increased sensitivity, enabling molecular weight determination for...
Biomedical Resilience & Readiness in Adverse Operating Environments (BRAVE) Project: Exhaled Breath Condensate (EBC) TMT Proteomic Transformation Data Exhaled breath condensate (EBC) represents a low-cost and non-invasive means of examining respiratory health. EBC has been used to discover and...
ProxyTSPRD profiles are collected using NVIDIA Nsight Systems version 2020.3.2.6-87e152c and capture computational patterns from training deep learning-based time-series proxy-applications on four different levels: models (Long short-term Memory and Convolutional Neural Network), DL frameworks...