Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
213
datasets available to search
ShareScore release 0.9.0
Dataset results
213 results for “Google”
A global data set of realized treelines sampled from Google Earth aerial images
<div> <span>We </span><span>sampled</span><span> Google Earth aerial images</span><span> to get a representative and globally distributed dataset of treeline locations</span><span>. </span><span>Google Earth images</span><span> are available to everyone, but may not be automatically downloaded and processed according to Google's license terms. Since we only wanted to detect tree individuals, we evaluated the aerial images manually by hand.</span> </div> <div> </div> <div> <span>Doing so, we scaled Google Earth's GUI interface to a buffer size of approximately 6000 m from a perspective of 100 m (+/- 20 m) above Earth's surface. Within this buffer zone, we took coordinates and elevation of the highest </span><span>realized </span><span>treeline locations. In some remote areas of Russia and Canada, individual trees were not identifiable due to insufficient image resolution. If this was the case, no treeline was sampled, unless we detected another visible treeline within the 6,000 m buffer and took this next highest treeline</span><span>. We did not ap</span><span>p</span><span>ly an automated image processing approach. </span><span>We calculated mass elevation effect as the distance to the nearest mountain chain limits. Continentality was assessed by the distance to the nearest coastline. Isolation was calculated by the nearest distance of a mountain chain to another mountain chain within a comparable elevational band. </span> </div>
Searches for ED and COVID-19 from Google Trends
<p><em>Searches for ED and COVID-19 from Google Trends (provided by Google as Relative Search Volumes (RSVs): they are normalized with a minimum value of 0 and a maximum value of 100) and weekly COVID-19 cases from WHO (in absolute numbers) in the four time periods. Please note that in the first time period Google provides search data RSVs monthly, while in the other three periods this is done weekly. Time Period 1: January 1, 2004 to December 31, 2016, Time Period 2: January 1, 2017 to December 31, 2019, Time Period 3: January 1, 2020 to December 31, 2021, Time Period 4: January 1, 2022 to December 31, 2022. </em></p>
a Google Scholar search result and profiles dataset
<p>This dataset contains google scholar search result and profiles in jsonl format, and the original html pages of google scholar profiles. The search scope is mainly on computational chemistry and AI for science.</p>
Stress Reduction Using Video Googles on Patients Undergoing Vascular Surgery
ClinicalTrials.gov study NCT06704230. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Google Location History Following Oesophagectomy and/or Gastrectomy
ClinicalTrials.gov study NCT05035602. IPD Sharing: NO. Countries: 1. Publications: 12.
Data from: Just Google it: assessing the use of Google Images to describe geographical variation in visible traits of organisms
Open the record for dataset details and reuse information.
A global data set of realized treelines sampled from Google Earth aerial images
Open the record for dataset details and reuse information.
Data from: Association between stock market gains and losses and Google searches
Open the record for dataset details and reuse information.
Interest in insect die-off and intention for action using Google trends
Open the record for dataset details and reuse information.
Data from: Adaptive nowcasting of influenza outbreaks using Google searches
Open the record for dataset details and reuse information.
Interview with Rick Sare - Google Glass Explorer
<p>Alter descri[ption</p>
Revista Gepros: Indicadores bibliométricos (Base SCOPUS e Google Scholar)
<p>A Revista GEPROS é um periódico eletrônico e de acesso livre publicado pelo Departamento de Engenharia de Produção da Universidade Estadual Paulista (UNESP), Campus Bauru, atendendo a professores, pesquisadores, pós-graduandos e graduandos, e profissionais que atuam nas áreas de Engenharia de Produção e correlatas. Seu objetivo é contribuir para a divulgação e disseminação de conhecimentos na área de Engenharia de Produção na forma de artigos científicos, combinando atributos como, elevado padrão acadêmico e real valor prático para o desenvolvimento da sociedade.</p> <p><strong>Os arquivos apresentam os dados bibliométricos coletados das bases - Scopus e Google Scholar.</strong></p>
Base de datos de impacto científico y académico de la bioacústica en Costa Rica utilizando el software Publish or Perish y la plataforma de Google Scholar
<p>La bioacústica ha permitido ampliar las formas de comprender la dinámica de los ecosistemas y las especies mediante el uso de archivos de sonido los cuales son considerados un espécimen acústico. En Costa Rica dada su alta biodiversidad, los sonidos forman parte importante de la comunicación en muchas especies silvestres y la producción científica referente al tema de bioacústica se encuentra en aumento. El objetivo de la investigación fue analizar el impacto de la bioacústica desde la perspectiva de la producción científica y académica durante los últimos 50 años y destacar la importancia de los sonidos en la conservación de especies y sus hábitats en Costa Rica. Se registraron un total de 1849 documentos representados por artículos científicos y libros publicados en revistas indexadas y editoriales en el campo de biología, ecología, conservación, cambio climático, entre otras. A pesar del aumento en las investigaciones biológicas en Costa Rica, los vacíos de información en ecosistemas naturales y alterados siguen siendo importantes y en este contexto, la bioacústica podría tomar un papel preponderante en la investigación en el país ya que combinada con otras disciplinas puede dar respuesta a interrogantes previas o nuevas preguntas de investigación en diversos campos.</p>
Developing an English course for beginners with the topic Part of Speech using Google Classroom
<p>Self-Paced Learning</p>
Developing English courses for beginners with Part of Speech material by using Google Classroom
<p>Self-Paced Learning</p>
Developing English courses for beginners with Part of Speech material by using Google Classroom
<p>Self-Paced Learning </p>
Developing English courses for beginners with Part of Speech material by using Google Classroom
<p>Self-Paced Learning</p>
Developing English courses for beginners with Part of Speech material by using Google Classroom
<p>Self-Paced Learning</p>
Developing English courses for beginners with Part of Speech material by using Google Classroom
<p>Self-Paced Learning</p>
Monitoring of Inundation Extent during 2010–2022 in the Inner Niger Delta using Landsat Imagery and Google Earth Engine
Open the record for dataset details and reuse information.
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.