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288 results for “Digital Modeling”

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ClinicalTrials.gov32/100

RECEIVER: Digital Service Model for Chronic Obstructive Pulmonary Disease (COPD)

ClinicalTrials.gov study NCT04240353. IPD Sharing: NO. Countries: 1. Publications: 1.

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

Digital Twins for Model-driven Non-invasive Electrical Brain Stimulation

ClinicalTrials.gov study NCT06826261. IPD Sharing: YES. Countries: 1. Publications: 22.

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

The Accuracy of Direct Digital Intra-oral Scanning Measurements Compared to Measurements on Study Models

ClinicalTrials.gov study NCT02364414. IPD Sharing: Not stated. Countries: 1. Publications: 17.

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

Development of a Model for Digital Monitoring of the Mental State of the Hospitalized Patient

ClinicalTrials.gov study NCT06182787. IPD Sharing: UNDECIDED. Countries: 1. Publications: 5.

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

Examining Digital Health Care Delivery Models Through Medicaid Collaborative

ClinicalTrials.gov study NCT05555095. IPD Sharing: NO. Countries: 1. Publications: 11.

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

Developing and Validating Clinical Efficacy for Obesity Digital CBT Model

ClinicalTrials.gov study NCT03465306. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

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

A Digital Tongue Diagnosis Model for High- and Low-risk Esophagogastroduodenal Varices in Cirrhosis

ClinicalTrials.gov study NCT05979935. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Very high resolution digital elevation models: are multi-scale derived variables ecologically relevant?

Open the record for dataset details and reuse information.

publicJun 2016View details →
dryad32/100

Data from: A method for mapping morphological convergence on three-dimensional digital models: the case of the mammalian saber-tooth

Open the record for dataset details and reuse information.

publicMay 2021View details →
dryad32/100

Data from: LiDAR-derived digital elevation model of Whale's Tail Marsh, San Francisco Bay, 2019

Open the record for dataset details and reuse information.

publicSep 2023View details →
edi32/100

Database of Geographic Information: Hill shade, of the 1:250000 scale Digital Elevation Model of Arizona

This data set is a hill shade, of the 1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.

openOpenJan 2020View details →
edi32/100

Digital Elevation Model (AZ 250,000:1)

1:250000 scale Digital Elevation Model of Arizona. Digital Elevation Model (DEM) is the terminology adopted by the USGS to describe terrain elevation data sets in a digital raster form. The standard DEM consists of a regular array of elevations cast on a designated coordinate projection system. The DEM data are stored as a series of profiles in which the spacing of the elevations along and between each profile is in regular whole number intervals. The normal orientation of data is by columns and rows. Each column contains a series of elevations ordered from south to north with the order of the columns from west to east. The DEM is formatted as one ASCII header record (A-record), followed by a series of profile records (B-records) each of which include a short B-record header followed by a series of ASCII integer elevations per each profile. The last physical record of the DEM is an accuracy record (C-record). A 30-minute DEM (2- by 2-arc second data spacing) consists of four 15-by 15-minute DEM blocks. Two 30-minute DEM's provide the same coverage as a standard USGS 30- by 60-minute quadrangle. Saleable units are 30- by 30-minute blocks, that is, four 15- by 15-minute DEM's representing one half of a 1:100,000-scale map.

openOpenJun 2002View details →
edi32/100

PIE LTER 2005 Digital elevation model for the Plum Island Sound estuary, Massachusetts, filtered_grd, last filtered grid - Raster

On April 18 and 19, 2005 LIDAR (Light Detection and Radar) flights occured in the lower portion of the Plum Island Sound, Massachusetts estuary and were timed to correspond to low tides to minimize higher tide influences on pulsed returns. The LIDAR survey was conducted by the National Center for Airborne Laser Mapping (NCALM). This data set consists of a one meter Digital Elevation Model (DEM) in ESRI GRID file format based upon last filtered grid (bare-earth) data from the LIDAR flights.

openCC (other)Nov 2017View details →
zenodo28/100

Orthoimages and digital surface models of the largest Argentine Islands in the Antarctic by UAV photogrammetry

<p>These data contain photogrammetrical data collected by unmanned aerial vehicle (UAV) from February to March&nbsp;2018 in the Argentine Islands,&nbsp;Wilhelm Archipelago, West Antarctica.&nbsp;The data include processed data (orthoimages and digital surface models) with the Structure-fom-Motion photogrammetrical software Agisoft Metashape. Data are cropped by the outlines of islands.</p> <p>Data are organized by the name of the surveyed island.</p> <p>The coordinate system used is UTM Zone 20S&nbsp;based on WGS84.</p> <p>The data are related to the article &quot;High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry&quot;, Lamsters, K., Karu&scaron;s, J., Krievāns, M., Je&scaron;kins, J., 2020. Journal of Maps.&nbsp;https://doi.org/10.1080/17445647.2020.1748130</p>

opencc-by-4.0Sep 2019View details →
zenodo28/100

Dataset of Evaluation Survey of a Conceptual Model for Promoting Digital Forensics Experiments

<p>Dataset of Evaluation Survey of a Conceptual Model for Promoting Digital Forensics Experiments</p>

opencc-by-4.0Mar 2020View details →
zenodo28/100

LROC NAC-based high-resolution (2 m per pixel) digital elevation models (DEMs) of twelve regions on the Moon containing ring-moat dome structures (RMDSs)

<p>The DEMs were constructed based on Lunar Reconnaissance Orbiter (LRO) Narrow Angle Camera (NAC) images using shape from shading constrained by lower-resolution stereo data. They have been introduced in the following publication, where more details can be found:</p> <p>&nbsp;</p> <p>F. Zhang, J. W. Head, C. W&ouml;hler, R. Bugiolacchi, L. Wilson, A. T. Basilevsky, A. Grumpe, Y. L. Zou.</p> <p>Ring-Moat Dome Structures (RMDSs) in the Lunar Maria: Statistical, Compositional, and Morphological Characterization and Assessment of Theories of Origin.</p> <p>Journal of Geophysical Research: Planets, 125,&nbsp;e2019JE005967. https://doi.org/10.1029/2019JE005967</p> <p>&nbsp;</p> <p>The file format of the DEMs is GEOTIFF, the pixel values indicate evelations in meters. The DEMs are numbered as in Table 1 of the paper.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Task-driven framework using large models for digital pathology

<p>The dataset and code used to implement TDF are published on this page.</p>

opencc-by-4.0Nov 2024View details →
zenodo28/100

EIAH data model: semantic interoperability between distributed digital repositories

<p>The authors described their information architecture project aimed at improving access to the Encyclopaedia of Iranian architectural history (EIAH) by signalling relationships between concepts and between concepts and documents. The outcome will be presented in a semantic portal or might be used for complex search queries by end users.</p>

opencc-ncJun 2009View details →
zenodo28/100

Digital elevation models of terrain and landslide body used for simulation of Liegang landslide (V1)

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo28/100

Data of Building information modelling (BIM), Historic BIM (HBIM), Digital Twins and IoT

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.