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79 results for “stanford”

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ClinicalTrials.gov32/100

Stanford Cardiac Invasive Electrophysiology Novel Computer Experience

ClinicalTrials.gov study NCT03549806. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Clinic, Family & Community Intervention for Children With Overweight and Obesity (Stanford GOALS)

ClinicalTrials.gov study NCT01642836. IPD Sharing: YES. Countries: 1. Publications: 5.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov32/100

Stanford Chronic Pain Self-Management Programme in Danish Chronic Pain Patients

ClinicalTrials.gov study NCT01306747. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Stanford RAD-AT Study (Research on Anxiety and Depression - Anhedonia Treatment)

ClinicalTrials.gov study NCT02220309. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Stanford ICU Delirium PIPRA Study

ClinicalTrials.gov study NCT06519890. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Stanford Regulating Circuits of the Brain Study- Ketamine

ClinicalTrials.gov study NCT03475277. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Stanford Center for Back Pain

ClinicalTrials.gov study NCT02503475. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Stanford PIPRA Validation Study in an Elderly Orthopedic Population

ClinicalTrials.gov study NCT06567574. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

MyHeart Counts: Stanford Mobile Cardiovascular Health Study 3.0

ClinicalTrials.gov study NCT04183010. IPD Sharing: YES. Countries: 1. Publications: 3.

controlledIPD-YESFeb 2026View details →
zenodo28/100

Normalized Stanford Helicopter Dataset

<p>Normalized version of the Stanford Helicopter Dataset (http://heli.stanford.edu/dataset/), used in the paper Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2020View details →
dryad28/100

Data from: Estimation of aboveground net primary productivity in secondary tropical dry forests using the Carnegie–Ames–Stanford approach (CASA) model

Although tropical dry forests (TDFs) cover roughly 42% of all tropical ecosystems, extensive deforestation and habitat fragmentation pose important limitations for their conservation and restoration worldwide. In order to develop conservation policies for this endangered ecosystem, it is necessary to quantify their provision of ecosystems services such as carbon sequestration and primary production. In this paper we explore the potential of the Carnegie–Ames–Stanford approach (CASA) for estimating aboveground net primary productivity (ANPP) in a secondary TDF located at the Santa Rosa National Park (SRNP), Costa Rica. We calculated ANPP using the CASA model (ANPPCASA) in three successional stages (early, intermediate, and late). Each stage has a stand age of 21 years, 32 years, and 50+ years, respectively, estimated as the age since land abandonment. Our results showed that the ANPPCASA for early, intermediate, and late successional stages were 3.22 Mg C ha−1 yr−1, 8.90 Mg C ha−1 yr−1, and 7.59 Mg C ha−1 yr−1, respectively, which are comparable with rates of carbon uptake in other TDFs. Our results indicate that key variables that influence ANPP in our dry forest site were stand age and precipitation seasonality. Incident photosynthetically active radiation and temperature were not dominant in the ANPPCASA. The results of this study highlight the potential of the use of remote sensing techniques and the importance of incorporating successional stage in accurate regional TDF ANPP estimation.

opencc-zeroDec 2016View details →
zenodo28/100

Stanford DAS-2 Array: Sand Hill Road Near-Surface Imaging Demo Dataset

<p>An excerpt of recordings from the Stanford DAS-2 array along Sand Hill Road, acquired on Dec 23rd, 2022, using OptaSense ODH-3, is shared here. The data is used in the demo of the newly proposed &quot;target&quot; interferometry method with traffic-induced surface waves for near-surface characterization. The sampling rate is 250 samples per second. The repository for this new method can be found at <a href="https://github.com/syyuan93/vehicle_tracking_based_time_lapse_monitoring">https://github.com/syyuan93/vehicle_tracking_based_time_lapse_monitoring</a>.</p>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov28/100

Stanford Five-City Multifactor Risk Reduction Study

ClinicalTrials.gov study NCT00005143. IPD Sharing: Not stated. Countries: 0. Publications: 66.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Stanford Coronary Risk Intervention Project (SCRIP)

ClinicalTrials.gov study NCT00000508. IPD Sharing: Not stated. Countries: 0. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Mechanism and Early Intervention Research on ALI During Emergence Surgery of Acute Stanford A Aortic Dissection

ClinicalTrials.gov study NCT01894334. IPD Sharing: Not stated. Countries: 0. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Estimation of aboveground net primary productivity in secondary tropical dry forests using the Carnegie–Ames–Stanford approach (CASA) model

Open the record for dataset details and reuse information.

publicSep 2017View details →
geo24/100

Epigenome analysis of aorta from normal and Stanford-A aortic dissection patients

GEO Series GSE202047. Homo sapiens. 8 samples. Type: Methylation profiling by array.

openGEO-OpenNov 2022View details →
geo24/100

Genome-wide analysis of gene expression of ascending aorta from patients with acute Stanford type A aortic dissection

GEO Series GSE52093. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenDec 2014View details →
geo24/100

Exaggerated autophagy as molecular characterization of Stanford type A aortic dissection: A transcriptome analysis of human ascending aortic tissues

GEO Series GSE153434. Homo sapiens. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2020View details →
zenodo24/100

Stanford Hopkin Marine Laboratory Shallow Water Pressure Observations

<p>Bottom-mounted pressure observations deployed along Hopkins Marine Laboratory. Pressure data were converted to wave characteristics.</p> <p>This is for manuscript&nbsp;</p> <p><strong>Nearshore wave transformation over a rocky reef shoreline by Gon, Thornton, MacMahan</strong></p> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record