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50 results for “WhatsApp”

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zenodo44/100

Public WhatsApp groups from the Brazilian online repositories

<p>This repository contains two gzip files with public WhatsApp groups collected from two Brazilian repositories, they are:</p> <ul> <li><a href="https://gruposdezap.com/">Grupos de Zap</a> -&nbsp;db_grupos_whats.json.gz</li> <li><a href="https://gruposwhats.app/">Grupo&nbsp;de Whats</a>&nbsp;-&nbsp;db_grupos_zap.json.gz</li> </ul> <p>The groups were collected on 01/2022.</p> <p>The files contain five properties:&nbsp;</p> <ul> <li><strong>title</strong>: <em>group title</em></li> <li><strong>description</strong>: <em>description of the group informed by the administrator</em></li> <li><strong>created_date</strong>: <em>creation date when the group was registered in the repository</em></li> <li><strong>num_vizualization</strong><em>: times the group was seen on the site - only for the zap groups repository</em></li> <li><strong>category</strong>: <em>group category</em></li> </ul> <p>If you use this dataset cite your paper, please:</p> <ul> <li><a href="https://doi.org/10.1145/3539637.3557056"><em>&quot;Click Here to Join&quot;: A Large-Scale Analysis of Topics Discussed by Brazilian Public Groups on WhatsApp</em> </a></li> </ul> <p><em>Daniel Kansaon, Philipe Melo, and Fabr&iacute;cio Benevenuto. 2022. &ldquo;Click Here to Join&rdquo;: A Large-Scale Analysis of Topics Discussed by Brazilian Public Groups on WhatsApp. In Brazilian Symposium on Multimedia and Web (WebMedia &rsquo;22), November 7&ndash;11, 2022, Curitiba, Brazil. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3539637.3557056</em></p>

opencc-by-4.0Aug 2022View details →
zenodo40/100

Transcriptions of interviews with older adults on the use of WhatsApp

<p>The file contains German transcriptions of semi-structured&nbsp;qualitative interviews conducted with older adults 65+ in Switzerland in 2019. The topic of the interviews was the older adults&#39; use of the instant-messaging service WhatsApp and its perceived effects on their social relationships.</p>

opencc-by-4.0Apr 2020View details →
zenodo40/100

A Hierarchical Network-Oriented Analysis of UserParticipation in Misinformation Spread on WhatsApp

<p>#Authors: Gabriel Peres Nobre, Carlos Henrique Gomes Ferreira, Jussara Marques de Almeida<br> #2021</p> <p>Script to read a Database file of messages and, in the end, extract user communities based on content co-sharing.</p> <p>We provide a database file with the anonymized messages shared in WhatsApp.&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Whatsapp Compressed CXR images

<p>Dataset containing whatsapp compresse images&nbsp; originally taken from NIH.</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

BPMN Diagram for Whatsapp consversation uploading process

<p>BPMN Diagram for Whatsapp consversation uploading process</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

Linked collectors and determiners for: Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark.

Natural history specimen data linked to collectors and determiners held within, "Taxonomy and Biogeography without frontiers – WhatsApp, Facebook and smartphone digital photography let citizen scientists in more remote localities step out of the dark". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://bionomia.net/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698">https://gbif.org/dataset/d9953b25-4b14-437c-aecf-1ccb60e8d698</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

COVID19.BR: A Dataset of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages

<p>COVID19.BR is provided in a csv&nbsp;file where the columns are date, hour, phone number, international phone code, if the user is Brazilian its state, the text content of the message, word count, character count, and if the message contained media (audio, image, or video). Each row represents a WhatsApp message.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Playing with time and holography by using two mobile whatsapp

<p>If one puts two mobiles near each other and connect them by whatsapp , many images of events between two mobiles could be formed. Any image corresponds to a time.&nbsp; &nbsp;Sometimes images from future are formed before images from past. For electrons within screen of mobile time states return. This could be a holography of time loop.</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

A simple holograph Machine for two mobiles by using WhatsApp waves

<p>A holograph machine may be built by a small room of plastic two magnets two sound/ultrasound producer and two mobiles.</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Whatsapp Compressed RSNA Datasets

<p>This dataset contains whatsapp compressed test and train split of whatsapp compressed images taken from RSNA dataset.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2024View details →
ClinicalTrials.gov36/100

WhatsApp Intervention for Seniors' Digital and Cognitive Management (WISDOM)

ClinicalTrials.gov study NCT07161674. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Assessing the Impact of a Social Media-Based Educational Intervention Using WhatsApp Video Messages on Dental Caries Prevention Knowledge, Oral Hygiene Practices, and Attitudes Toward Dental Health Am

ClinicalTrials.gov study NCT07363317. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Effectiveness of WhatsApp Online Group Discussion for Smoking Relapse Prevention

ClinicalTrials.gov study NCT03760224. IPD Sharing: YES. Countries: 1. Publications: 15.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

Improving Oral Health Knowledge and Habits in People With Diabetes Through a Theory Guided WhatsApp Education Program

ClinicalTrials.gov study NCT07323771. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

WhatsApp Intervention to Assess the Effect of Messages in Adherence to Antiretrovirals in Young People With HIV in Peru

ClinicalTrials.gov study NCT06500013. IPD Sharing: YES. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →
dryad36/100

Data from: Data collection of Odometer images via WhatsApp to measure vehicle miles traveled report

Open the record for dataset details and reuse information.

publicNov 2025View details →
zenodo32/100

A Dataset of Fact-Checked Images Shared on WhatsApp during the Brazilian and Indian Elections

<p>(Dataset paper).&nbsp;In&nbsp;<em>Proceedings of the Int&#39;l AAAI Conference on Weblogs and Social Media (ICWSM&rsquo;20).&nbsp;</em>Atlanta, Georgia, U.S.&nbsp;June 2020.</p> <p>Abstract:&nbsp;Recently, messaging applications, such as WhatsApp, have been reportedly abused by misinformation campaigns, especially in Brazil and India. A notable form of abuse in WhatsApp relies on several manipulated images and memes containing all kinds of fake stories.&nbsp;In this work, we performed an extensive data collection from a large set of WhatsApp publicly accessible groups and &nbsp;fact-checking agency websites. This paper opens a novel dataset to the research community containing fact-checked fake images shared through WhatsApp for two distinct scenarios known for the &nbsp;spread of fake news on the platform: the 2018 Brazilian elections and the 2019 Indian elections.&nbsp;</p>

opencc-by-4.0Mar 2020View details →
zenodo32/100

Metrics of Social Curiosity: The WhatsApp Case

<p>We provide a database file with the anonymized messages shared in WhatsApp.&nbsp;</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Uso do WhatsApp por pessoas idosas: um experimento com usuários de nível básico

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Pai, mãe, vamos utilizar o WhatsApp para conversar? Silêncio absoluto!

<p>Resultado da aplica&ccedil;&atilde;o do M&eacute;todo de Inspe&ccedil;&atilde;o Semi&oacute;tica (MIS) e M&eacute;todo de Avalia&ccedil;&atilde;o da Comunicabilidade (MAC) mediante cen&aacute;rio estabelecido para percurso de atividades no aplicativo WhatsApp.</p>

opencc-by-4.0Apr 2024View 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