LOC-samples-publish2022-10-11_18-37.xlsx Version 1
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SEEK ID: https://fairdomhub.org/data_files/6195?version=1
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LOC-samples-publish2022-10-11_18-37.xlsx
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Created: 11th Oct 2022 at 14:36
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Version 1 (earliest) Created 11th Oct 2022 at 14:36 by Jake Schissel
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Projects: Hi-IMPAcTB, MIT SRP
Institutions: Massachusetts Institute of Technology
Programme: MIT Superfund Research
Public web page: Not specified
Submitter: Dikshant Pradhan
Studies: Benthic fluxes of fluorescent dissolved organic material, salt and heat ..., CometChip Enables Parallel Analysis of Multiple DNA Repair Activities, Excision of mutagenic replication-blocking lesions suppresses cancer but..., Interaction of N-Nitroamines with Bincuelar Copper Complexs for Luminsec..., Molecular origins of mutational spectra produced by the environmental ca..., Novel In Vivo CometChip Reveals NDMA-Induced DNA Damage and Repair in Mu...
Assays: Absorption and Emission Spectroscopy - Data Linked, Absorption and Emission Spectroscopy Analysis - Data Linked, Chemical Challenge - Metadata, Chemical Synthesis - Metadata, Comet Chip - Data Linked, Comet Chip Analysis - Data Attached, Comet Chip Analysis - Data Attached, Crystallography - Data Linked, Electron Paramagnetic Resonance - Data Linked, Extraction and Library Creation - Metadata, Field Water Sensor Run, GPT Assay - Data Attached, GPT Assay – Data Attached, Genome Alignment - Data Linked, High Resolution Mass Spectra - Data Linked, High Resolution Mass Spectra Analysis - Data Linked, Illumina Sequencing - Data Linked, Mass Spectrometry Processing – Data Linked, Mass Spectrometry – Data Linked, Mouse Necropsy – Metadata, Mutational Spectral Analysis - Data Attached, Necropsy - Metadata, Nuclear Magnetic Resonance Spectroscopy - Data Linked, Nuclear Magnetic Resonance Spectroscopy Analysis - Data Linked, RaDR Image Machine Learning Analysis – Data Attached, Tissue Collection - Metadata, Tissue Imaging – Metadata, Tissue Lysis – Metadata, X-ray Photoelectron Spectroscopy - Data Linked
Irene Hu and Harold Hemond
Aquatic eddy covariance (AEC) is an in situ technique for measuring fluxes in marine and freshwater systems based on the covariance of velocity and concentration measurements. Here, development of a fast multiple-channel sensor (FACT) enables the use of AEC for measurement of benthic fluxes of fluorescent dissolved organic material, salt, and heat at three distinct sites in Massachusetts, USA, including the ...
Submitter: Jake Schissel
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: MIT SRP
