BUSCADOR RECOLECTA

his corpus consists of 46,962 tweets related to the Catalan referendum, a very controversial topic in Spain due to it was an independence referendum called by the Catalan regional government and suspended by the Constitutional Court of Spain after a request from the Spanish government. All the tweets were downloaded on October 1, 2017 with the hashtags #CatalanReferendum or #ReferendumCatalan. Later, we collected features of these tweets on October 31, 2017 in order to analyze their virality. Each item in this collection is made up of the features we used from each tweet to perform the virality analysis: lang: Tweet language. retweet_count: Total number of retweets recorded for a given tweet. favourite_count: Total number of favourites recorded for a given tweet. is_quote_status: Whether a tweet includes a quote of another tweet. num_hashtags: Total number of hashtags in the tweet. num_urls: Total number of URLs in the tweet. num_mentions: Total number of users mentioned in the tweet. interval_time: Interval of the day on which the tweet was published (morning (06:00-12:00), afternoon (12:00-18:00), evening (18:00-00:00) or night (00:00-06:00)). positive_words_iSOL: Total number of positive words found in the tweet using iSOL lexicon. negative_words_iSOL: Total number of negative words found in the tweet using iSOL lexicon. positive_words_NRC: Total number of positive words found in the tweet using NRC lexicon. negative_words_NRC: Total number of negative words found in the tweet using NRC lexicon. positive_words_mlSenticon: Total number of positive words found in the tweet using ML-SentiCon lexicon. negative_words_mlSenticon: Total number of negative words found in the tweet using ML-SentiCon lexicon. verified_user: Whether the tweet is from a verified user. followers_count_user: Total number of users who follow the author of a tweet. friends_count_user: Total number of friends that the author is following. listed_count_user: Total number of lists that include the author of a tweet. favourites_count_user: Total number of favourited tweets by a user. statuses_count_user: Total number of tweets made by the author since the creation of the account.

PLAN DE TRANSFERENCIA DE RESULTADOS DE INVESTIGACIÓN DEL PROYECTO SUSTAINACOOP

Database used for the descriptive cross-sectional study on the consumption of pornography and the emergence of sexist behavior in young university students, as well as different related characteristics such as religiosity or the educational level of the parents.

Datos del artículo

Description., Methods and software necessary to open the files.

STM-ncAFM from IMDEA Nanociencia Institute and CATRIN under ultra-high vacuum conditions at 4K, acquired between 2018 and 03.2023, *.txt *.jpg *.docx files, *.WSxM files can be opened with Origin

STM/STS and XPS data acquried at IMDEA Nanociencia laboratories, The software to open the STP files is WSxM.

To be completed, To be completed

(i) Multiplet calculations for TDA+Er; (ii) Point charges for multiplet calculations for TDA+Er; (iii) STM images; (iv) STS data; (v) XAS, XMCD and XLD data for TDA+Er

This is the underlying data of the publication: "Osmium(II) Tethered Half-Sandwich Complexes: pH-dependent Aqueous Speciation and Transfer Hydrogenation in Cells" (DOI: 10.1039/D1SC01939B). Data of Fig. 2, 3, 4, S25, S26, S27, S28, S29, S30, S31, S32, S33, S34, S35, S36, S37, S38, S39, and Table 1, 2, 3, S5 and S6 is included., A description of the convention used for compound names is attached in the .zip file.