dedup_wf_001--e947307352a6ed721250780e3f8bb6a3

This dataset consists of 1,181,993 Tweet Ids, obtained as a result from the paper - A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. The Tweet Ids can be hydrated using  twarc, a command line tool and Python library for archiving Twitter JSON data. Please follow these instructions to install twarc - https://github.com/DocNow/twarc It will take less than 4 hours to hydrate the tweet ids using twarc.  If you intend to use the dataset, please cite the paper. 

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Identity

Description: The Identity category includes attributes that support the identification of the resource.

Field Value
PID https://www.doi.org/10.5281/zenodo.3606863
PID https://www.doi.org/10.5281/zenodo.3606862
URL http://dx.doi.org/10.5281/zenodo.3606863
URL https://figshare.com/articles/A_large-scale_Twitter_dataset_for_drug_safety_applications_mined_from_publicly_existing_resources/11661636
URL https://zenodo.org/record/3606863
URL http://dx.doi.org/10.5281/zenodo.3606862
Access Modality

Description: The Access Modality category includes attributes that report the modality of exploitation of the resource.

Field Value
Access Right Open Access
Attribution

Description: Authorships and contributors

Field Value
Author Tekumalla,Ramya, 0000-0002-1606-4856
Author Banda,Juan, 0000-0001-8499-824X
Contributor Ramya Tekumalla
Publishing

Description: Attributes about the publishing venue (e.g. journal) and deposit location (e.g. repository)

Field Value
Collected From Zenodo; figshare; Datacite
Hosted By Zenodo; figshare
Publication Date 2020-01-13
Additional Info
Field Value
Language UNKNOWN
Resource Type Dataset
keyword tweetids, drug_related
system:type dataset
Management Info
Field Value
Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::e947307352a6ed721250780e3f8bb6a3
Author jsonws_user
Last Updated 4 January 2021, 23:21 (CET)
Created 4 January 2021, 23:21 (CET)