BUSCADOR RECOLECTA

El presente proyecto pretende estudiar la formación autigénica de carbonatos y arcillas magnésicas mediada por microorganismos en humedales hipersalinos con las consiguientes implicaciones ambientales en el secuestro de carbono, favoreciendo una solución basada en la naturaleza para luchar contra la emisión de gases de efecto invernadero.

This DMP aims to make the data from the studies conducted in the research project "Precursors, Mechanisms, and Individual Differences in Contextual Control (PMIDCC)” with Ref.: 2709149399-149399-4-823, available to the public for reuse with scientific purposes. The data access is open. In general terms, this DMP aligns with the "FAIR" principles, meaning that the data is Findable, Accessible, Interoperable, and Reusable.

Este Plan de Gestión de Datos recoge llos principales elementos de la política de gestión e datos que se implementarán durante el desarrollo del Proyecto de Investigación SECABA

Datos del artículo

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

Datos del artículo

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.