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Data Supporting "Seabird Tissue Archival and Monitoring Project (STAMP) Data from 1999-2010"
Data provided by National Institute of Standards and Technology
Here we provide curated analytical chemistry data for eggs collected from 1999 to 2010 on a subset of species and analytes that were measured regularly and reasonably systematically. Included in this publication are 487 samples analyzed for 174 ubiquitous environmental contaminants such as (poly)brominated diphenyl ethers (BDEs), mercury, organochlorine pesticides (OCPs), and polychlorinated biphenyls (PCBs). Data were collated to form a dataset useful in chemometric and related analyses of the marine ecosystem in the north Pacific Ocean.
Tags: NIST Biorepository,eggs,tissues,BDEs,PBDEs,PCBs,Pesticides,mercury,trace elements,heavy metals,organic,inorganic,chemistry,stable isotopes,genetics,Environment and Climate,chemometric,machine learning,ML,seabird,bird,Pacific Ocean,
Modified: 2025-04-06
**SUPERSEDED** Software and Data for Modeling OFDM Communication Signals with Generative Adversarial Networks
Data provided by National Institute of Standards and Technology
This software and data have been superseded. Please visit https://doi.org/10.18434/mds2-2532
Tags: generative adversarial network,machine learning,wireless communications,
Modified: 2025-04-06
SRM 2969 Vitamin D Metabolites in Frozen Human Serum (Total 25-Hydroxyvitamin D Low Level) Data
Data provided by National Institute of Standards and Technology
SRM 2969 Electronic files containing certified values and their uncertainties, and the data used to assign those values
Tags: vitamin D,25-hydroxyvitamin D,serum,mass spectrometry,
Modified: 2025-04-06
SRM 2970 Vitamin D Metabolites in Frozen Human Serum (25-Hydroxyvitamin D2 High Level) Data
Data provided by National Institute of Standards and Technology
Electronic files containing certified values and their uncertainties, and the data used to assign those values.
Tags: vitamin D,25-hydroxyvitamin D,serum,mass spectrometry,
Modified: 2025-04-06
Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band
Data provided by National Institute of Standards and Technology
The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room. Number of targets, velocity of each target and trajectory are randomized across the dataset. The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms.
Tags: Sensing,communication,millimeter wave,dataset,machine learning,deep learning,channel model,IEEE 802.11ay,IEEE 802.11bf,
Modified: 2025-04-06
Development of a Tool to Determine the Variability of Consensus Mass Spectra Supporting Data
Data provided by National Institute of Standards and Technology
Supporting datasets and algorithms (R-based) for the manuscript entitled "Development of a Tool to Determine the Variability of Consensus Mass Spectra", including an R Markdown script to reproduce the manuscript's figures.
Tags: mass spectrometry,uncertainty analysis,per- and polyfluoroalkyl substances,PFAS,reference mass spectrum,
Modified: 2025-04-06
Dataset from HDX-MS Studies of IgG1 Glycoforms and Their Interactions with the Fc(gamma)RIa (CD64) Receptor
Data provided by National Institute of Standards and Technology
This database gives hydrogen-deuterium exchange mass spectrometry (HDX-MS) data from measurements of three purified IgG1 glycoform samples, predominantly G0F, G2F, and SAF, in isolation and in complexation with the high-affinity receptor, Fc(gamma)RIa (CD64). The IgG1 antibody used in this study, aIL8hFc, is a murine-human chimeric IgG1, which inhibits IL-8 binding to human neutrophils.
Tags: antibody-receptor interaction,chromatography,HDX-MS,hydrogen-deuterium exchange,glycosylation,mass spectrometry,monoclonal antibody,precision,peptide,protein,proteolysis,proteomics,receptor.,
Modified: 2025-04-06
NIST DART-MS Forensics Database (is-CID)
Data provided by National Institute of Standards and Technology
The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).
Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,
Modified: 2025-04-06
NIST DART-MS Forensics Database (is-CID)
Data provided by National Institute of Standards and Technology
The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).
Tags: Standard reference data,mass spectra,Ion Fragmentation,mass spectrometry,NIST Mass Spectral Libraries,Chemical Identification,Biosciences and Health,Security and Forensics,
Modified: 2025-04-06
REMI: Resource for Materials Informatics
Data provided by National Institute of Standards and Technology
The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-processing, analyzing, and visualizing materials data. Notebooks are curated using tags aligned to Materials Science and Data Science topics. REMI emerged from the realization that both experts and novices wanted examples of using machine learning for science. Meanwhile, lots of experts are developing digital notebooks (e.g. Jupyter) to demonstrate step-by-step data collection, pre-processing, analysis and visualization.
Tags: machine learning,data analysis,data processing,materials science,materials genome initiative,
Modified: 2025-04-06