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79 results for “stanford”
Inter-Chemical Correlation results for the study: HHEARx2017-1967 (Perfluoroalkyl and Polyfluroalkyl Substances (PFAS), Protein Biomarkers, Adiposity and Cardiometabolic Risk Factors in a 3-year Cohort of Low-Income Latino Children with Overweight and Obesity from the Stanford GOALS Randomized Controlled Trial)
Title: Perfluoroalkyl and Polyfluroalkyl Substances (PFAS), Protein Biomarkers, Adiposity and Cardiometabolic Risk Factors in a 3-year Cohort of Low-Income Latino Children with Overweight and Obesity from the Stanford GOALS Randomized Controlled Trial <br>Species: Homo sapiens <br>Number of samples: 1085 <br>Number of named analytes: 8 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=36 <br>
Charles Villiers Stanford (s1685)
<b>-- <a href="https://doi.org/10.5281/zenodo.11582199">Documentation</a> --</b><br><br><u>Name</u>: Charles Villiers Stanford<br><u>musiXplora-ID</u>: s1685<br><u>musiXplora-URI</u>: <a href="https://musixplora.de/mxp/s1685">https://musixplora.de/mxp/s1685</a><br><u>Gender</u>: m<br><u>Confessions</u>: anglikanisch<br><u>Date of Birth</u>: 30 September 1852<br><u>Place of Birth</u>: Dublin<br><u>Date of Death</u>: 29 March 1924<br><u>Place of Death</u>: London<br><u>First Mentioned</u>: 1870<br><u>Professions (Musical)</u>: Dirigent, Komponist, Organist, Pianist<br><u>Professions (Non-Musical)</u>: Professor<br><u>Main Place of Activity</u>: London<br><u>Other Places of Activity</u>: Berlin, Cambridge/MA, Dublin, Hamburg, Leeds, Leipzig<br><br><br><u>Ausbildung:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Schüler</td><td>Friedrich Kiel</td><td><a href="https://musixplora.de/mxp/k2472">k2472</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Schüler</td><td>Carl Reinecke</td><td><a href="https://musixplora.de/mxp/r1767">r1767</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Rutland Boughton</td><td><a href="https://musixplora.de/mxp/b1299">b1299</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Arthur Benjamin</td><td><a href="https://musixplora.de/mxp/b3157">b3157</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Samuel Coleridge-Taylor</td><td><a href="https://musixplora.de/mxp/c0860">c0860</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Clive Carey</td><td><a href="https://musixplora.de/mxp/c0889">c0889</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Gustav Holst</td><td><a href="https://musixplora.de/mxp/h3024">h3024</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Herbert Howells</td><td><a href="https://musixplora.de/mxp/h3337">h3337</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Gordon Jacob</td><td><a href="https://musixplora.de/mxp/j0458">j0458</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Cyril Bradley Rootham</td><td><a href="https://musixplora.de/mxp/r2014">r2014</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Leopold Stokowski</td><td><a href="https://musixplora.de/mxp/s1930">s1930</a></td></tr><tr><td>LehrerInnen und AusbilderInnen</td><td>Lehrer</td><td>Ralph Vaughan Williams</td><td><a href="https://musixplora.de/mxp/v0014">v0014</a></td></tr></tbody></table><br><u>Arbeitsumfeld:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>KollegInnen</td><td>Kollege</td><td>Frederick Bridge</td><td><a href="https://musixplora.de/mxp/b3195">b3195</a></td></tr></tbody></table><br><u>Repertoire:</u><br><table><tbody><tr><th>Group</th><th>Role</th><th>Name</th><th>mXp-ID</th></tr><tr><td>Autor-/KomponistInnen im Repertoire</td><td>Autor im Repertoire</td><td>Charles Draper</td><td><a href="https://musixplora.de/mxp/d1405">d1405</a></td></tr></tbody></table><br><br><u>Changelog</u>:<br> - v0.0.1: Initial Upload.<br>
The Stanford Software Survey, 2020
<p>This is the Stanford Software Survey, interface and results for the year 2020.</p> <p>https://github.com/stanford-rc/stanford-software-survey/releases/tag/2020</p>
Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)
<p>This video is the seventh talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Unmet Clinical Needs and Case Studies in Blood Testing - Prof Bryant Lin and Dr. Kevin Chang (Stanford University)</p> <p>Bio: Bryant Lin, MD, MEng is a primary care physician, educator and researcher. The cornerstone of Dr. Lin's work is keeping medicine focused on humans - patients, providers, families and trainees - and not lost in technology and algorithms. His research and educational interests span (1) Developing and testing novel medical technologies, (2) Improving the health of Asian populations with Precision and Population Health, and (3) Increasing expression and interconnections in the Health Community with the Humanities and Arts. After receiving his undergraduate and master's degrees in Electrical Engineering and Computer Science from MIT, he completed his MD and internal Medicine training at Tufts University School of Medicine and Tufts Medical Center. He came to Stanford to serve as a Research Fellow in Cardiac Electrophysiology and Biodesign Fellow where he learned to identify unmet human-centered needs. Since completing his post-graduate training, he stayed at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine where he has invented and researched new medical technologies addressing unmet human-centered needs and started the Consultative Medicine Clinic evaluating patients with medical mysteries. He serves as the Training Director for the Joe and Linda Chlapaty DECIDE Center which has created a novel shared decision making tool for atrial fibrillation anticoagulation and is an investigator in several active clinical trials. Three years ago, he co-founded and currently co-directs, with Dr. Latha Palaniappan, the Center for Asian Health Research and Education (CARE) which aims to improve the health of Asians everywhere. Most recently, he has worked closely with the Medicine and the Muse leadership to help start the Stuck@Home concert series, the Stanford SoundWalk and the COVID Remembrance project. Dr. Lin has an active interest in storytelling and film-making. He co-directs an undergraduate seminar, MED 53Q “Storytelling in Medicine”, with Dr. Lauren Edwards and is working with a group of students on a documentary on end-of-life care at a JapaneseAmerican Senior Home in the Bay Area.</p> <p>Kevin Chang MD, MS, is a primary care physician. His focus in on patient care, population health and quality improvement, and medical education. He received his undergraduate degree and master's degree in biomedical engineering from Duke University and Stanford University respectively, and completed his MD at New York University, followed by his medical training at Stanford University. He has since stayed on at Stanford as clinical faculty in Primary Care and Population Health in the Department of Medicine, where he also serves as the co-director of the resident physician Internal Medicine clinic.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/ozk1iJYC1yk</p>
Binary Stanford Sentiment Treebank 2 (SST-2)
<p>Binary Stanford Sentiment Treebank (SST2) is a binary version of SST and Movie Review dataset (the neutral class was removed), that is, the data was classified only into positive and negative classes.</p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition</p>
Stanford Sentiment Treebank (SST)
<p>Stanford Sentiment Treebank (SST) is an extension of Movie Review dataset with fine-grained labels ranging between very positive and very negative. The authors extended the MR by adding a more curated human annotation into 5 classes.<br> </p> <p>The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_<k>.pkl: pandas DataFrame with k-cross validation partition</p>
Stanford Hopkins Marine Laboratory Offshore Pressure Sensors
<p>RBR bottom-mounted pressure sensor data for two stations located outside of wave breaking. Data details are described within the Matlab files. Data are used to estimated wave characteristics.</p> <p>Data used for manuscript "Wave dissipation by bottom friction on a rough rocky reef" by Gon, MacMahan, and Thornton in submission for JGR Oceans.</p>
Mary Stanford Lifeboat House
The 1882 lifeboat house on Winchelsea Beach, East Sussex, England. The lifeboat house was the scene of the 1928 Mary Stanford Lifeboat disaster where the entire crew of 17 were lost in a gale while attempting to rescue a stricken vessel. https://historicengland.org.uk/listing/the-list/list-entry/1392961?section=official-list-entry https://www.winchelsea.com/the-town-story/history/lifeboat-disaster/ 671 photos taken in April 2022 with a Sony a7R III and DJI Mini 2 and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Stanford fiber-optic DAS array: Earthquake detection dataset
<p>Repurposing the fiber-optic cables from the existing telecommunication infrastructure makes it possible to record dense continuous seismic data in urban areas at low cost. From 2016 to 2019, we connected a disctributed acoustic sensing (DAS) interrogator unit to the fiber-optic cables in telecommunication conduits under Stanford University campus, recording years of continuous seismic data.</p> <p>This repository contains processed TensorFlow Record data files containing examples of earthquake and background noise signals recorded by the Stanford fiber-optic DAS array. These data were used for training, evaluation, and testing of a convolutional neural network for earthquake detection. </p> <p> </p> <p> </p>
Two-minute DAS ambient noise data recorded by Stanford DAS Array-1
<p>This repository contains the preprocessed 2-minute DAS ambient noise data recorded by the Stanford DAS Array-1 and the 1D shear-wave velocity model published in Spica et al. (2020) used in the manuscript entitled "On beamforming of DAS ambient noise recorded in an urban environment and Rayleigh-to-Love wave ratio estimation" by Yumin Zhao, Yunyue Elita Li, and Bei Li.</p>
Stanford Tobacco Treatment Services - Virtual Reality Treatment for Smoking Cessation
ClinicalTrials.gov study NCT05220254. IPD Sharing: NO. Countries: 1. Publications: 1.
Stanford Accelerated Intelligent Neuromodulation Therapy for Treatment-Resistant Depression (SAINT-TRD)
ClinicalTrials.gov study NCT03068715. IPD Sharing: NO. Countries: 1. Publications: 18.
Stanford Accelerated Intelligent Neuromodulation Therapy for Treatment-Resistant Depression: OL Cohort
ClinicalTrials.gov study NCT03240692. IPD Sharing: NO. Countries: 1. Publications: 17.
The Stanford Parkinson's Disease Plasma Study
ClinicalTrials.gov study NCT02968433. IPD Sharing: NO. Countries: 1. Publications: 4.
Stanford Accelerated Recovery Trial (START)
ClinicalTrials.gov study NCT01067144. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Plaque Gift to Mrs. Stanford - High Resolution
For more information about this item visit: https://bhpsite.org/ Source: Objaverse 1.0 / Sketchfab
Plaque Gift to Mrs. Stanford - Preview
For more information about this item visit: https://bhpsite.org/ Source: Objaverse 1.0 / Sketchfab
Stanford Regulating Circuits of the Brain Study - MDMA
ClinicalTrials.gov study NCT04060108. IPD Sharing: NO. Countries: 1. Publications: 1.
Stanford's Outcomes Research in Kids
ClinicalTrials.gov study NCT01442701. IPD Sharing: Not stated. Countries: 1. Publications: 3.
A Pilot Study of "Stanford Proxy Test for Delirium" (S-PTD)
ClinicalTrials.gov study NCT03954769. IPD Sharing: Not stated. Countries: 1. Publications: 4.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.