cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21950/7t9ngt
title: Bilingual acquisition data: Dative Alternation_DA-L2 adult dataset

description: This dataset is the result of the research carried out by Silvia Sánchez Calderón (UNED) and Raquel Fernández Fuertes (UVa) in the frame of the Research Group UVALAL (University of Valladolid Language Acquisition Lab, https://uvalal.uva.es/) whose Principal Investigator is Raquel Fernández Fuertes. In this project, the research is conducted on the second language (L2) acquisition of English Dative Alternation (DA) constructions by adult learners whose first language (L1) is Spanish. The results are compared to a control group of L1 English adults. The two DA structures under analysis involve, on the one hand, prepositional to-datives that alternate as Double Object Constructions (DOCs) (1) and, on the other hand, prepositional for-datives that alternate as DOCs (2). The main aim of this project is to explore the role played by the L2 English learners' L1 in their sensitivity towards the two syntactic variants, with a particular emphasis on the potential crosslinguistic influence effects (or lack thereof) from Spanish into English and the Universal Grammar (UG) effect on their acquisition. 

(1) a. You gave the key to her cousin [to-dative]
 b. You gave her cousin the key [DOC]

(2) a. You booked the holiday for Sarah [for-dative]
 b. You booked Sarah the holiday [DOC]
DOI: 10.21950/4oqg8k
title: Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”

description: This dataset supports the article titled *“Combined model‑based and data‑driven approach for the control of a soft robotic neck”*, published in *Robotics and Autonomous Systems* in 2025. The study investigates a hybrid control strategy that combines an analytical model of a soft robotic neck with a multilayer perceptron (MLP) neural network trained on experimental data. The goal is to minimize position errors while maintaining a hybrid solution that includes models trained using deep learning techniques, without discarding the purely analytical model of inverse kinematics for the soft robotic neck.
description: The repository contains processed data used for training the models. The models used have been exported along with the necessary scripts to reproduce the experiments and results.
description: The data is:
- Normalized 
- Divided into pre-training, training, and results (or test) sets 
- Notebooks where with a single click, all the results from the research paper can be replicated 
- It is recommended to use Python 3.8 and install the library from the /PySoftCan folder, following the instructions in the README_PySoftCan
description: Python, 3.8
description: C++
description: VSCode
description: Jupyter Notebook
description: CAN Ports
description: Robotic Platforms
description: GPU
DOI: 10.21950/do9byw
title: Microbial dynamics, alkaloid stability, and lactose degradation of poppy seed kefir during fermentation and cold storage

description: This database includes: Table 1. Evolution of pH value in M1 (control), M2 (kefir spiked at low level of OAs), M3 (kefir spiked at high level of OAs) and M4 (kefir with poppy seeds) during different fermentation times (0, 6 and 24 h) and cold storage (1 week).Fig. 2. Viability of (a) S. thermophilus and Lactococcus ssp., (b) Lactobacillus ssp., (c) moulds and yeasts in M1 (control kefir), M2 (kefir spiked at low level of OAs), M3 (kefir spiked at high level of OAs) and M4 (kefir with poppy seeds) during different fermentation times (0, 6 and 24 h) and cold storage (1 week). Fig. 3. Evolution of (a) lactose, (b) galactose, (c) glucose, and (d) myoinositol (g/100g) in M1 (kefir control), M2 (kefir spiked at low level of OAs), M3 (kefir spiked at high level of OAs) and M4 (kefir with poppy seeds) during different fermentation times (0, 6 and 24 h) and cold storage (1 week). Fig. 4. Evolution of (a) lactic acid, (b) glycerol, (c) citric acid, (d) acetic acid, (e) formic acid, (f) pyruvic acid, (g) propionic acid and (h) butyric acid concentration (g/100g) in M1 (control kefir), M2 (kefir spiked at low level of OAs), M3 (kefir spiked at high level of OAs) and M4 (kefir with poppy seeds) during different fermentation times (0, 6 and 24 h) and cold storage (1 week). Fig. 5. Evolution of six main OAs (morphine, codeine, thebaine, papaverine, noscapine and oripavine) (mg/kg) in (a) kefir spiked at low level of OAs, (b) kefir spiked at high level of OAs and (c) kefir with poppy seeds during different fermentation times (0, 6 and 24 h) and cold storage (1 week). Table S1. Parameters of mass spectrometry analysis in positive ionization mode.Table S2. Matrix-matched calibration curves for the four fermentation conditions under study. Table S3. Recovery percentages (%) of OAs in the four samples under different fermentation and storage
DOI: 10.21950/9y5yfb
title: Update on Opium Alkaloids in Food: Exploring Their Occurrence, Effect of Culinary Processing and Advances in Analytical Methodologies

description: Following the implementation of the new European legislation on opium alkaloids (OAs) in food in 2023, scientific research has focused on developing analytical methodologies to determine the presence of these compounds in different foods. However, health authorities continue to suggest further studies to evaluate the occurrence of main OAs and the impact of culinary processing. Concerns remain regarding the potential health risks associated with consuming foods containing OAs. This review provides an updated overview of OAs on food, addressing their occurrence, toxicity, and the risks and benefits associated with poppy seed consumption. It compiles data from recent studies and official reports, including notifications from the Rapid Alert System for Food and Feed (RASFF). Additionally, the influence of culinary processing on OAs concentration is analyzed, highlighting the main findings and research gaps. The review also discusses advancements in analytical methodologies, with emphasis on improvements in green sample preparation to purify extracts and validation of methodologies to improve detection reliability. Elevated concentrations of OAs above legislated limits have been reported. However, various culinary processing methods allow for significant reduction of these levels. Proper control of the initial concentration, together with appropriate processing practices, can mitigate the risks associated with ingestion of contaminated foods. Despite methodological advances in detection, further refinement of analytical methods for different food matrices is needed. Future research should focus on the optimization of these methods for the determination of all OAs, besides morphine and codeine, as well as on the effects of processing and the possible formation of degradation compounds.
DOI: 10.21950/m5vgax
title: Spherical C18-functionalized ordered mesoporous silica packed on micro-solid phase extraction cartridges for simultaneous determination of twenty-three alkaloids in flower extract supplements

description: This database includes the alerts reported by the RASFF system, the sample description, the UHPLC-MS parameters used in the study, the results obtained of the characterization of the synthesized material, the results obtained for the optimization of the uSPEed(r) extraction procedure and the validation of this methodology as well as the results of matrix effect, recovery percentages and solvent-based calibration curves, and the validation using other sample types. Also includes the AGREEprep scores obtained for the methodology. Finally, the concentrations of PAs and TAs found in the flower-based extracts using the proposed analytical methodology and a table with the comparation between this methodology and others found in literature.
DOI: 10.21950/glgolq
title: Edible Flowers in Modern Gastronomy: A Study of Their Volatilomic Fingerprint and Potential Health Benefits

description: This database includes the volatile composition of the seven flower species determined by HS-SPME/GC-MS, their potential bioactive effects and the number of volatile organic metabolites found in the simples.
DOI: 10.21950/e0trxc
title: Replicación de datos para: Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidation

description: The UPGRES project focuses on integrating biotechnological, thermochemical, and catalytic transformations, including innovative technologies like dark fermentation, microalgae production, hydrothermal carbonization and liquefaction, and aqueous-phase reforming. It also aims to minimize environmental impact by developing efficient oxidation-based decontamination processes and low-cost, partially renewable catalysts using porous carbon from hydrochars. Additionally, the project seeks to reduce GHG emissions, prevent contaminated liquid waste, and minimize solid waste generation, ensuring that the fuels and chemicals produced are truly sustainable

This data set includes the results of catalyst characterization, wet air oxidation reactions and anaerobic digestion of the research paper Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidation
DOI: 10.21950/9zm8sd
title: Fast and green methodology based on miniaturised liquid–liquid extraction with a hydrophobic natural deep eutectic solvent of opium alkaloids from poppy seed beverages

description: Currently, the development of environmentally friendly analytical methodologies is a challenge for analytical chemistry. Therefore, the search for solvents to extract analytes of interest from complex matrices has progressed considerably in recent years. In the present work, 15 hydrophobic natural deep eutectic solvents (HNADES) consisting of a mixture of different donors and acceptors in different ratios have been prepared and compared to evaluate the most efficient extraction of opium alkaloids (OA) from fortified water samples. After selecting the most effective one consisting in a mixture of thymol and camphor in the ratio 1:1 ([Thy]:[Cam] 1:1), a rapid analytical methodology to determine OA in poppy seed beverages was optimised and validated for the first time. It was based on a miniaturised liquid–liquid extraction (m-LLE) with 0.5 mL of sample and 0.5 mL of HNADES by vortexing for 1 min, followed by 1 min centrifugation and subsequent analysis by high-performance liquid chromatography with diode array detector (HPLC-DAD). The validation was successful, showing extraction efficiencies between 91 and 107 % for all analytes, low limits of quantification (0.1 µg/mL for all analytes, except for morphine, 0.4 µg/mL) and precision values below 15 %. In addition, the greenness of the method was evaluated, obtaining a 0.79 on the AGREEprep metric scale. Therefore, it was demonstrated that the methodology developed to analyse OAs in poppy seed beverage was efficient, fast, simple and environmentally friendly.
DOI: 10.21950/5ajrmv
title: Application of Rice Husk-Derived SBA-15 Bifunctionalized with C18 and Sulfonic Groups for Solid-Phase Extraction of Tropane, Pyrrolizidine, and Opium Alkaloids in Gluten-Free Bread

description: Rice husk (RH), a globally abundant agri-food waste, presents a promising renewable silicon source for producing SBA-15 mesoporous silica-based materials. This study aimed to synthesize and bifunctionalize SBA-15 using RH as a silica precursor, incorporating sulfonic and octadecyl groups to create a mixed-mode sorbent, RH-SBA-15-SO3H-C18, with reversed-phase and cation exchange properties. The material’s structure and properties were characterized using advanced techniques, including X-ray diffraction, infrared spectroscopy, N2 adsorption–desorption isotherms, nuclear magnetic resonance, and electron microscopy. These analyses confirmed an ordered mesoporous structure with a high specific surface area of 238 m2/g, pore volume of 0.45 cm3/g, pore diameter of 32 Å, and uniform pore distribution, highlighting its exceptional textural qualities. This sorbent was effectively utilized in solid-phase extraction to purify 29 alkaloids from three families—tropane, pyrrolizidine, and opium—followed by an analysis using ultra-high performance liquid chromatography coupled to ion-trap tandem mass spectrometry. The developed analytical method was validated and applied to gluten-free bread samples, revealing tropane and opium alkaloids, some at concentrations exceeding regulatory limits. These findings demonstrate that RH-derived RH-SBA-15-SO3H-C18 is a viable, efficient alternative to commercial sorbents for monitoring natural toxins in food, offering a sustainable solution for repurposing agri-food waste while addressing food safety challenges.
DOI: 10.21950/1lsvlr
title: Assessment of atropine and scopolamine in commercial multigrain cereal-based baby products using UHPLC-TQ-MS/MS and solid phase extraction with MCM-41 mesostructured silica as sorbent

description: A sample preparation procedure for the analysis of tropane alkaloids (atropine and scopolamine) in multigrain cereal-based baby products (MGBP) has been optimized in this study. The protocol was based on a solid-liquid extraction, followed by purification by solid-phase extraction with MCM-41 functionalised with sulphonic acid groups as sorbent, before the analysis by ultra-performance liquid chromatography coupled to triple quadrupole tandem mass spectrometry. The method was successfully validated with limits of quantification of 0.005 and 0.05 μg/kg for atropine and scopolamine, respectively. The analysis of a quality control material (TAs in baby food multigrain) demonstrated the suitability for the purpose of the methodology. The analysis of twenty commercial MGBP (mixtures of 2 to 10 cereal flours, with honey, milk, fruit pulp or juices) purchased between 2016 and 2024, revealed the presence of atropine (between 0.07 and 1.0 μg/kg) and scopolamine (between 0.15 and 12 μg/kg) in all the MGBP analysed.
DOI: 10.15468/dl.66mmu6
title: Occurrence Download

description: A dataset containing 26584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((28.91078 45.21852,28.87516 45.13762,29.76163 45.11249,29.76163 45.18785,28.91078 45.21852))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26584 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028537-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21950/1hefxw
title: High Strain Rate Mechanical Behavior of Polyamide 66 and Polyamide 66-Glass Fiber Reinforced

description: The effect of glass fiber-reinforcement polymer Polyamide 66 on the uniaxial compressive mechanical response was measured over a wide strain-rate range from quasi-static tests with strain rate of 5×10–3 s–1 to impact tests with strain rate of 2×103 s–1. Dynamic compressive load was applied using a split Hopkinson pressure bar, whereas an electromechanical testing machine was used to carry out quasi-static experiments in displacement control to determine strain-rate sensitivity. The results demonstrate that strain rate significantly influences yield stress, post-yield behavior, and ductility of the two polymers under study. The yield stress experimental data are consistent with thermally activated processes.
description: This dataset includes raw data obtained from Hopkinson bar tests performed on polyamide and reinforced polyamide specimens, as well as the processed data used to fit the curves presented in the related article. It contains stress–strain data recorded during the dynamic tests and the results of subsequent data treatment and curve fitting procedures.
DOI: 10.21950/i8eza0
title: PISA 2015 and 2018 Madrid Bilingual Program

description: This database has been used in an article titled "New evidence on the impact of learning in a foreign language on educational outcomes", published in "Studies in Educational Evaluation" (https://doi.org/10.1016/j.stueduc.2024.101386), which evaluates the Madrid bilingual program, comparing academic outcomes between bilingual and non-bilingual students using Propensity Score Matching.
description: STATA 18
DOI: 10.21950/tuaxiv
title: Encuesta sobre profesionalización docente

description: &lt;p&gt;El proyecto general en el que se enmarca este estudio aborda la Profesionalización Docente -sus discursos, políticas y prácticas-, procurando superar las limitaciones teóricas-metodológicas-técnicas actuales desde un nuevo enfoque. &lt;p&gt;Parte de seis HIPÓTESIS que orientan el abordaje teórico y metodológico:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt; I-Que los abordajes teóricos actuales sobre la profesionalización del profesorado no contemplan suficientemente la fragmentación y jerarquización del campo educativo. &lt;/li&gt;
&lt;li&gt;II-Que las condiciones socio-históricas de fragmentación, diferenciación y jerarquización en las que emerge el campo educativo siguen operando a modo de limitación para desarrollo de una profesionalidad horizontalmente articulada dentro del campo. &lt;/li&gt;
&lt;li&gt;III-Que el desarrollo de una profesionalización docente horizontalmente considerada contribuye a superar la fragmentación y jerarquización existente en el campo educativo. &lt;/li&gt;
&lt;li&gt;IV-Que las disputas y tensiones asociadas a la forma de entender la educación, la escolarización y sus funciones, y el papel que los actores deben desempeñar pueden ser abordadas y resueltas de manera diferenciada y singular en los discursos, políticas y prácticas para la profesionalización docente existentes en distintos contextos.&lt;/li&gt;
&lt;li&gt;V-Que el desarrollo de una profesionalidad docente no fragmentada contribuye a un trabajo horizontal entre todos los profesionales del campo. &lt;/li&gt;
&lt;li&gt;VI-Que el desarrollo de la profesionalidad docente horizontalmente articulada contribuye al logro de una calidad educativa en sentido amplio.
&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt; El OBJETIVO GENERAL es generar un conocimiento que contribuya a comprender el proceso de configuración de los cuerpos de profesorado de infantil, primaria y secundaria y su proceso de profesionalización en el contexto más amplio de conformación del campo educativo en España; y las condiciones de posibilidad actual para el desarrollo de una profesionalidad horizontalmente articulada para la mejora de la educación. &lt;/p&gt;
&lt;p&gt;Este objetivo general se divide en cinco ESPECÍFICOS. En este caso, la encuesta que aquí se pone a disposición se relaciona con el O3-Identificar los condicionantes y posibilidades para el desarrollo de una profesionalidad horizontalmente articulada. &lt;/p&gt;
&lt;p&gt;Para este último objetivo se implementaron varios abordajes, entre ellos, el estudio de encuesta cuyos datos aquí se presentan.&lt;/p&gt;
&lt;p&gt;Este dataset está compuesto por:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;1) La "Encuesta sobre Profesionalización Docente" en castellano, catalán, gallego, euskera y valenciano.&lt;/li&gt;
&lt;li&gt;2) La base de datos.&lt;/li&gt;
&lt;/ul&gt;
description: SPSS Statistics, 28.0
DOI: 10.21950/s5kd7e
title: Computational Thinking Measurement of CS University Students

description: The measurement of computational thinking ability among computer science (CS) university students is of paramount importance. This study introduces UniCTCheck, a novel method designed to assess the main components of computational thinking in CS students. Utilising two key instruments, namely, the web application CTScore and the psychometric scale CTProg, this research aims to precisely evaluate seven core components of computational thinking and six programming concepts skills essential for CS students. The study, conducted at Rey Juan Carlos University and Atlantic
Technological University Galway, involved a diverse sample of students from different year levels and programme specialisations. Through a rigorous research design, including sampling strategies and data collection tools, this study seeks to address critical research questions related to the measurement of variations in students’ computational thinking and programming skills by gender, university level, and location. By shedding light on the significance of computational thinking and programming in
the educational realm, this research contributes to the existing literature and underscores the essential role of computational skills in the modern era.
DOI: 10.21950/9xk4sk
title: Replicación de datos para: Valorization of refinery sludges by hydrothermal carbonization towards circular economy

description: Despite continuous efforts by the petroleum industry to address societal needs, the effective management of potentially hazardous wastes, such as refinery sludge, remains a significant challenge. Refinery sludge is a stable emulsion comprising water, petroleum hydrocarbons (e.g., oils, fats, organic compounds), solids, and metals. Hydrothermal carbonization (HTC) is a promising and environmentally friendly approach for valorizing oily sludge from refineries, given its adaptability and high efficiency in processing wet or high-moisture-content organic wastes. This study aims to systematically evaluate the effects of three key factors—initial sludge composition (through the mixing of three distinct real oily sludge streams from refinery), HTC temperature, and reaction time—on the properties of the resulting hydrochar, aqueous phase and oily phase. This scope was reached through a full factorial design of experiments and a deepened characterization of the as-received petrochemical samples and the separated HTC products. The study resulted in predictive models for 32 response variables associated with the HTC process using real refinery sludge mixtures. These variables include the HTC product distribution, hydrochar yield, higher heating value (HHV) of produced hydrochar, and the characteristics of the process water, among others. The developed models provide a reliable framework for optimizing HTC outputs and forecasting quality variations in response to changes in the operating conditions studied.
DOI: 10.6084/m9.figshare.30597677
title: Temporal navigation for festival maps on mobile devices

description: Maps are powerful tools for communicating spatiotemporal data across different domains. However, their potential is often limited by insufficient emphasis on temporal aspects and the interaction challenges on mobile devices. This study, based on background research and needs assessment, presents an innovative approach to presenting and managing spatiotemporal data on event maps on mobile devices. The research uses the Glastonbury Festival 2024 lineup as a case study to develop and evaluate prototype interfaces. By incorporating navigation and time-based map symbologies, it aims to provide users with a smooth experience, helping them make quick decisions about where to go and when without having to switch between different screens. Findings demonstrate that integration of spatiotemporal data into mobile maps improves the usability of event maps during on-site use and offers an alternative to the traditional separation of maps and temporal information. Despite its limitations, the study provides valuable insights for future research on mobile event maps regarding the design interfaces for displaying and managing temporal information.