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Climate change vulnerability of tropical Afrotemperate flora in Africa’s sky islands
No full textClimate change poses a significant threat to Afrotemperate flora, particularly to the species isolated in high-altitude ecosystems, such as in the East African sky islands. This study assesses the vulnerability of Afrotemperate flora, using tropical Afroalpine and Afromontane Helichrysum (Compositae) taxa as a model system, by evaluating their climatic niches and future distribution shifts, range fragmentation, and altitudinal boundaries under climate change scenarios.</p
Sample of 200 news items on election results (USA, Spain, France and Italy) containing water metaphors
No full textThe project’s main aim is to analyze WAVE and TIDE metaphors in four countries (USA, Spain, France and Italy) undergoing elections in 2022 and 2023. To this aim, a of all ideological stances and analyzed for their frequencies, collocations, mappings, elaborations and evaluative meanings.
The dataset includes 200 news items, collected from digital media 2022-2023. </p
Sample of 340 news items containing term "polarization" from 4 Spanish and British digital newspapers (2 center-left and 2 center-right wing) 2022
No full textThe project’s main aim is to analyze the way in which the word 'polarisation' is used in a corpus of news items collected from four widely read mainstream newspapers, two Spanish and two British, all of them containing the word polarización/polarisation and published in 2022.
The dataset includes 340 news items, collected from digital media 2022. </p
Sample of perceptions regarding non-sexist language in the academic environment (June 2022)
No full textThe project’s aims are to: (1) analyse the current level of usage and acceptance of non-sexist language among the group of pre-service teacher selected in the study; and (2) investigate the correlation between the language of instruction (Spanish vs. English) and the participants’ stance on this issue.
The corpus selected for the analysis is derived from a questionnaire in Spanish, completed by 348 trainee teachers enrolled in pre-primary and primary education programmes in Spain during the 2021–2022 academic year. The first part focused on collecting attributive information and defining the characteristics of the sample. It also included a mandatory written informed consent form. The remainder of the questionnaire was divided into three main sections, comprising 12 closed-ended items. These items explored: participants’ use and perception of inclusive language (IL) in an academic context (Section 1); their perception of professors’ use of IL (Section 2); and their intention to use IL with their future students (Section 3).</p
COMPREV(P)CANCER Base Datos de la red social Twitter/X
No full textBase Datos de la red social Twitter/X del proyecto COMPREV(P)CANCE
Synthetic datasets generated by Large Language Models
No full textThis dataset is the result of the work done in the project GRESEL-UAM: About GRESEL: AI Generation Results Enriched with Simplified Explanations Based on Linguistic Features (Resultados de Generación de IA Enriquecidos con Explicaciones Simplificadas Basadas en Características Lingüísticas).
This dataset is part of the publication titled "Assessing a Literary RAG System with a Human-Evaluated Synthetic QA Dataset Generated by an LLM: Experiments with Knowledge Graphs," which will be presented in September 2025 in Zaragoza, within the framework of the conference of the Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN). The work has already been accepted for publication in SEPLN’s official journal, Procesamiento del Lenguaje Natural.
This dataset consists of three synthetically generated datasets, a process known as Synthetic Data Generation (SDG). We used three different LLMs: deepseek-r1:14b, llama3.1:8b-instruct-q8_0, and mistral:7b-instruct. Each was given a prompt instructing them to generate a question answering (QA) dataset based on context fragments from the novel Trafalgar by Benito Pérez Galdós.
These datasets were later used to evaluate a Retrieval-Augmented Generation (RAG) system.
Three CSV files are provided, each corresponding to the synthetic dataset generated by one of the models. In total, the dataset contains 359 items. The header includes the following fields: id, context, question, answer, and success. Fields are separated by tabs.
The id column is simply an identifier number. The context column contains the text fragment from which the model generated the questions and answers. The question and answer fields contain the generated questions and answers, respectively. The success column indicates whether the model successfully generated the question and answer in the corresponding fields ("yes" or "no").</p
Corpus de simplificación de oraciones del Diario de Madrid
No full textEste dataset contiene un listado completo de oraciones simplificadas extraídas del Diario de Madrid. Para cada entrada, se incluyen tres versiones de la misma oración:
Versión original preprocesada: El texto original extraído del Diario de Madrid, previamente preprocesado para eliminar ruido y garantizar su adecuación para el análisis.
Versión simplificada por el modelo de lenguaje: La oración original procesada y transformada automáticamente por un modelo de lenguaje para hacerla más comprensible y accesible.
Versión final por el etiquetador: La versión simplificada final, tras ser revisada y ajustada manualmente por un etiquetador, que asegura que el texto sea adecuado para su público objetivo, manteniendo la precisión del contenido.
Este dataset está diseñado para investigar y evaluar la efectividad de los modelos automáticos de simplificación de texto, proporcionando un recurso valioso tanto para la mejora de modelos de PLN como para la creación de sistemas de simplificación orientados a mejorar la accesibilidad de textos especializados
Evaluating the stability of tropane and opium alkaloids during baking in homemade gluten-free poppy seed crackers
No full textThis database includes Table 1. Recovery percentages (% ± SD) for tropane (10 µg/kg) and opium alkaloids (1500 µg/kg) in commercial crackers using SBA-15-SO3H-CN material as sorbent in solid-phase extraction (SPE); Table 2. Recovery values (%) obtained applying the SLE and SPE, loading the homemade cracker extract spiked at 10 µg/kg for tropane alkaloids and 1500 µg/kg for opium alkaloids and diluted*; Table 3. Linearity, limits of the method and matrix effect for tropane alkaloids (TAs) and opium alkaloids (OAs) in the samples studied; Table 4. Accuracy and precision of the proposed method for the analysis of tropane (TAs) and opium (OAs) alkaloids in a representative homemade cracker prepared with teff flour and ground poppy sedes; Table 5. Mean concentration (mg/kg) ± standard deviation (SD) of atropine and scopolamine (tropane alkaloids, TAs) and morphine, codeine, thebaine, papaverine, noscapine and oripavine (opium alkaloids, OAs) in raw doughs and baked crackers made with teff flour or corn starch, both with ground poppy sedes; Table S1. Optimal parameters for the analysis of each analyte by UHPLC-MS/MS using multiple reaction monitoring (MRM); Table S2. Textural properties and functionalization degree of the prepared materials; Table S3. Recovery percentages (% ± SD) for tropane alkaloids (2 µg/L) and opium alkaloids (300 µg/L) in standard working solutions using SBA-15-SO3H-CN material as sorbent in solid-phase extraction (SPE); Table S4. Instrumental validation parameters of the UHPLC/MS-MS
Effect of various culinary treatments on the glycoalkaloid content of potato peel
No full textThis database includes the results of the Table 1.aSBET: specific Surface area calculated by Brunauer-Emmett-Teller (BET) method. bBJH pore diameter: estimated by Barret-Joyner-Halenda (BJH) model applied in the desorption branch. cPore volume: total pore volume measured at relative P/P0 = 0.97. d%C: percentage of carbon calculated with elemental analysis; Figure 5. Recoveries obtained under different solid-phase extraction conditions tested in the elution stage (using 200 mg of commercial C18 and synthetized SBA-15-C18 sorbents) employing optimal loading conditions (2 mL of extract:H2O (40:60, v/v)) and elution conditions (using 4 mL of MeOH methanolic containing 1 % acetic acid); Figure 6. Optimization of the amount of sorbent in the solid-phase extraction using commercial C18 and synthetized SBA-15-C18 materials, employing optimal loading conditions (2 mL of methanolic extract:H2O (40:60, v/v)) and elution conditions (using 4 mL of MeOH containing 1 % acetic acid); Table 2. a x = mg/L; bLOD: limit of detection estimated as 3 times the signal/noise ratio; cLOQ: limit of quantification estimated as 10 times the signal/noise ratio; dAccuracy and precision were determined by comparing the extracts before and after SPE process at three concentration levels: low (60 mg/kg DW of the sum of α-solanine and α-chaconine), medium (250 mg/kg DW of the sum of α-solanine and α-chaconine) and high (500 mg/kg DW of the sum of α-solanine and α-chaconine); Figure 7. Level of TGAs (sum of α-solanine, α-chaconine) in culinary treated potato peels in comparison to fresh potato peels (untreated); Figure S1. Results obtained from the Duncan test to verify homogeneous subgroups for the GAs, comparing the concentration of the five portions of 150g analyzed in triplicate; Figure S3. Recoveries of α-solanine and α-chaconine obtained in each reuse cycle of the SBA-15-C18 material as SPE sorbent; Figure S4. Concentration of α-solanine and α-chaconine in five portions of 150 g each randomly selected from the initial 2 kg of fresh potato peels of Lady Amarilla potato variety
Experiments to diagnose the SoH of Samsung INR21700-50E Li-ion Cells
No full text Description of the project
This experimental work is part of the "Work Package 4 - Diagnosis of Li-ion cells and modules" of the project "Research and development of a highly automated and safe streamlined process for increased Lithium-ion battery repurposing and recycling". Acronym (REBELION). Project number: 101104241. Program: HORIZON-CL5-2022-D2-01-10, European Climate, Infrastructure and Environment Executive Agency (CINEA), European Commission.
The aim of the project is to develop a diagnosis methodology for lithium‐ion batteries that allows telling apart batteries fitted for second life applications from batteries that have reached the end of their life and need to be disassembled for recycling their components.
The following three novel diagnosis methods will be investigated in this project:
Electrochemical noise analysis (ENA): It consists of analyzing the voltage noise signal when the cell is subjected to a constant current. The noise signal is frequency decomposed, obtaining a characteristic pattern of the SoH.
Current steps (CS): Application of small current steps when the battery operates at constant current. The dynamic behavior of the voltage allows fitting to the parameters of an equivalent electrical model that will provide information to identify the SoH of the battery.
High‐frequency current steps (HF‐CS), which, like the CS technique, apply current steps, but in this case, only high‐frequency current steps are applied to determine the purely ohmic resistance of the battery.
The application of these three novel methods will be contrasted with other methods commonly used for identifying the SoH of batteries, but that do not satisfy the requirements posed in this project concerning diagnosis process time, and equipment. These commonly used methods include Incremental capacity analysis (ICA), Open circuit voltage (OCV), Electric impedance spectroscopy (EIS), and maximum State of charge (SoC).
Description of the dataset
This dataset contains the results obtained from the execution of multiple experiments designed to facilitate the diagnosis of the state of health of Lithium-ion cells.
The dataset involves the evaluation of 77 cells of the type Samsung INR21700-50E. The evaluated cells have been previously aged by means of a variable number of charge-discharge cycles (cf. related dataset), in order to obtain a distribution of states of health between 100% and 80%.
The dataset is structured as follows.
Cells are identified with a name composed of a combination of: group number, cycling strategy and cell ID:
The group number corresponds to the group defined by the aging experiment (cf. related dataset). Each group was planned to be cycled with a number of cycles.
The cycling strategy describes the type of charge and discharge procedure used during cycling.
The cell ID corresponds to A or B, since two cells are used in each cycling run.
Each evaluated cell is contained in a directory, named with the cell name (e.g., "C4-CC-A"), that stores the results of the experiments performed to that cell. These experiments include EIS in OCV and at 0.2C discharge, ENA, HFSTEPS and LFSTEPS. They also include a measure of the room temperature during the experimental run