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213 results for “Google”

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zenodo24/100

Google Dominates

Audrey Erdahl *Google Dominates* 2015 A work by Audrey Erdahl that now resides in Bethel University's permanent art collection. 3D scan using Agisoft Photoscan by Grace Arel. Source: Objaverse 1.0 / Sketchfab

opencc-byOct 2018View details →
zenodo24/100

La Sagrada Família Interior - Google street view

The Basílica de la Sagrada Família. A 3D mesh test that was created using only 60 equirectangular photos from google street view. https://www.google.com/maps/@41.4035484,2.1742211,2a,75y,25.56h,81.43t/data=!3m6!1e1!3m4!1sIjk90uIjHHD3RTLKldCtUA!2e0!7i13312!8i6656 The 3D mesh has been decimated to 1 million faces to minimise file size. Source: Objaverse 1.0 / Sketchfab

opencc-byFeb 2021View details →
zenodo24/100

Petra Treasury - Made with random google images.

This scan was reconstructed using random images found online. More info here: https://packet39.com/blog/2019/01/09/how-i-3d-scanned-the-treasury-at-petra-without-leaving-home/ Source: Objaverse 1.0 / Sketchfab

opencc-byJan 2019View details →
ClinicalTrials.gov24/100

A Survey of Google Glass by Orthopaedic Trauma Patients and Surgeons

ClinicalTrials.gov study NCT02221115. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Google Trends of Global Surgery

ClinicalTrials.gov study NCT05012085. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Use of Google Translate to Enhance Patient Pain and Nausea Assessment and Satisfaction After General Anesthesia

ClinicalTrials.gov study NCT05060328. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo20/100

Developing an English course for beginners with Part of Speech material using Google Classroom

<p>Self-paced learning</p>

opencc-by-4.0Jan 2021View details →
ClinicalTrials.gov20/100

This Observational Study, Which is Being Implemented by Obtaining Statistical Data From a Google-form Filled Out by Students of Ukrainian Higher Education Institutions, Aims to Investigate the Epidemi

ClinicalTrials.gov study NCT06670131. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo16/100

Google Location History (GLH) mobility dataset

<p>This is a GPS dataset acquired from Google.</p> <p>Google tracks the user&rsquo;s device location through Google Maps, which also works on Android devices, the iPhone, and the web.&nbsp;<br>It&rsquo;s possible to see the Timeline from the user&rsquo;s settings in the Google Maps app on Android or directly from the Google Timeline Website.&nbsp;<br>It has detailed information such as when an individual is walking, driving, and flying.&nbsp;<br>Such functionality of tracking can be enabled or disabled on demand by the user directly from the smartphone or via the website.&nbsp;<br>Google has a Take Out&nbsp;service where the users can download all their data or select from the Google products they use the data they want to download.&nbsp;<br>The dataset contains 120,847 instances from a period of 9 months or 253 unique days from February 2019 to October 2019 from a single user.&nbsp;<br>The dataset comprises a pair of (latitude, and longitude), and a timestamp.&nbsp;<br>All the data was delivered in a single CSV file.&nbsp;<br>As the locations of this dataset are well known by the researchers, this dataset will be used as ground truth in many mobility studies.</p> <p>&nbsp;</p> <p>Please cite the following papers in order to use the datasets:</p> <p>T. Andrade, B. Cancela, and J. Gama, "Discovering locations and habits from human mobility data," Annals of Telecommunications, vol. 75, no. 9, pp. 505&ndash;521, 2020.&nbsp;<br>10.1007/s12243-020-00807-x (DOI)<br>and&nbsp;<br>T. Andrade, B. Cancela, and J. Gama, "From mobility data to habits and common pathways," Expert Systems, vol. 37, no. 6, p. e12627, 2020.<br>10.1111/exsy.12627 (DOI)</p>

restrictedSep 2023View details →
zenodo12/100

Data Set - Analysis of Mandarin–Indonesian Translation Accuracy using Google Translate, Baidu Translate, and DeepL

Open the record for dataset details and reuse information.

restrictedcc-by-4.0Nov 2024View details →
zenodo12/100

citations from papers from SMU school of economics that have full text that are findable in Google scholar.

<p>Data on citations made by SMU faculty from School of Economics and Social Sciences. Is the full text findable in Google Scholar?</p>

restrictedJul 2018View details →
zenodo12/100

Popular but hardly used: Has Google Analytics been to the detriment of Web Analytics (Dataset)

<p>This is the data used for the paper &quot;Popular, but hardly used: Has Google Analytics been to the detriment of Web Analytics?&quot;, to be presented at Web Science 23.</p>

restrictedFeb 2023View details →
zenodo8/100

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

<p>This dataset&nbsp;contains continental (Africa) land cover and impervious surface changes over a long period of time (15 years) using high resolution Landsat satellite observations and Google Earth Engine cloud computing platform. The approach applied here to overcome the computational challenges of handling big earth observation data by using cloud computing can help scientists and practitioners who lack high-performance computational resources. The dataset contains seven classes, prepared annually from 2000 to 2015, using high‐resolution Landsat 7 images (ETM+) and analyzed by Google Earth Engine cloud computing method. The model that generated the LULC classification was evaluated for predictive accuracy across classes as well as overall accuracy. The model achieved an overall accuracy of 88% with class-specific user&rsquo;s and producer&rsquo;s accuracies ranged from 84-94% and 79-96% respectively (Midekisa et al., 2017).</p> <p>&nbsp;</p>

restrictedSep 2017View details →

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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