cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20350/digitalcsic/15082
title: M2ex project. Trace metal fate in soil after application of digestate originating from the anaerobic digestion of non-source-separated organic fraction of municipal solid waste [Dataset]

description: Exploiting metal-microbe applications to expand the circular economy (M2ex) GA no 861088, 1 Excel file
description: Digestate originating from anaerobic digestion of non-source-separated organic fraction of municipal solid waste (OFMSW) is produced abundantly worldwide and generally discarded in landfills. However, it can be a valuable resource for many bioeconomy strategies as land restoration, only if a consolidated understanding of the contaminants??? presence and behaviour in digestate-amended soil is achieved. This study aimed to investigate the fate of trace metals, namely Zn, Cu, Pb, and Cr found in the digestate, along the soil profile after digestate application on soil, and the influence that other contaminants as pharmaceutical compounds can have on their behaviour in the soil system. For that, a 90-day soil column experiment was conducted using a fine loamy sand soil topped with a layer of digestate-amended soil. Digestate-amended soil had a soil to digestate proportion of 14 to 1 (dry weight). Two experimental conditions were tested: soil amended with digestate, and soil amended with digestate spiked with the antidiabetic drug metformin. Soil samples were taken at 4 depths on days 1, 7, 21, 35 and 90, and total trace metals concentrations and fractionation was determined via atomic absorption spectroscopy. Results showed that Zn, Cu, Pb ad Cr initially present in the digestate were transferred from the digestate-amended soil layer to the underlying soil layer over time, although in low amounts. Nevertheless, no transfer was detected to the deeper soil layers. Trace metals in soil were predominantly in immobile and less bioavailable forms associated with clay and silicate mineral groups, whereas in the digestate-amended soil they were in more bioavailable forms, which could be related also to metals??? migration in the soil layers below. Results also show that the presence of metformin had no influence on trace metal behaviour, giving insight also on possible interactions with other potentially present contaminants as microplastics. The current study showed that OFMSW digestate can be a promising organic nutrient-rich matrix for land restoration even if it may contain high metals??? concentrations because low metal mobility along the soil profile can be expected.
DOI: 10.20350/digitalcsic/15076
title: Collective plasmonic resonances enhance the photoluminescence of rare-earth nanocrystal films processed by ultrafast annealing

description: Herein, we demonstrate that rapid thermal annealing allows achieving close-to-one photoluminescence quantum yield while preserving the transparency of rare-earth nanocrystal films, which further enables their integration with nanophotonics. The combination with periodic arrays of aluminum nanodisks that support collective plasmonic resonances leads to enhanced directional emission.
DOI: 10.20350/digitalcsic/14644
title: CLARA-MeD corpus

description: A collection of 24.298 pairs of professional and simplified texts (&gt;96 million tokens): 1) Drug leaflets and summaries of product characteristics (10 211 pairs of texts, &gt;82M words); 2) Cancer-related information summaries (201 pairs of texts, &gt;3M tokens); and 2) Clinical trials announcements (5748 pairs of texts, 451 690 tokens). The dataset also contains a parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens). This is a benchmark for medical text simplification. The latest download of files was in February 2022.
description: A collection of 24 298 pairs of professional and simplified texts (&gt;96 million tokens) for automatic medical text simplification in Spanish. A parallel corpus with a subset of 3800 sentence pairs of professional and laymen variants (149 862 tokens) is released as a benchmark for medical text simplification. This dataset was collected in the CLARA-MeD project, with the goal of simplifying medical texts in the Spanish language and reducing the language barrier to patient's informed decision making. In particular, the project aims at developing linguistic resources for automatic medical term simplification in Spanish; and conducting experiments in automatic text simplification.
description: Folders: 1) Comparable corpus: the data of each source can be found in the corresponding folder. Each folder contains two other subfolders: - source: professional, specialized texts (".src" file extension) - target: simplified texts (".trg" file extension). 2) Aligned sentences: these can be found file "aligned.tsv" (in folder "aligned"). The folder structure is as follows: - aligned/ - aligned.tsv - cima/ - source/ - target/ - eudract/ - source/ - target/ - nci/ - source/ - target/.
DOI: 10.20350/digitalcsic/14799
title: Determination of Optical Constants of Ligand-free Organic Lead Halide Perovskite Quantum Dots

description: Precise knowledge of the optical constants of perovskite lead halide quantum dots (QDs) is required to both understand their interaction with light and to rationally design and optimize the devices based on them. However, their determination from colloidal nanocrystal suspensions, or films made out of them, remains elusive, as a result of the difficulty to disentangle the optical constants of the organic capping and those of the semiconductor itself. In this work, we extract the refractive index and extinction coefficient of ligand-free methylammonium lead iodide (MAPbI3) and bromide (MAPbBr3) nanocrystals. In order to prevent the use of organic ligands in the preparation, we follow a scaffold assisted synthetic procedure, which yields a composite film of high optical quality that can be independently and precisely characterized and modelled. In this way, the contribution of the guest nanocrystals can be successfully discriminated from that of the host matrix. Using a Kramers-Kronig consistent dispersion model along with an effective medium approximation it is possible to derive the optical constants of the QDs by fitting the spectral dependence of light transmitted and reflected at different angles and polarizations. Our results indicate a strong dependence of the optical constants with the QD size. Small nanocrystals show remarkably large values of the extinction coefficient compared to their bulk counterparts. This analysis opens the door to the rigorous modelling of solar cells and light-emitting diodes with active layers based on perovskite QDs.
DOI: 10.20350/digitalcsic/14665
title: PIRAGUA_atmos_analysis [Dataset]
title: An??lisis Atmosf??rico PIRAGUA [Dataset]

description: [EN] It contains a netCDF file by variable and hydrological year with daily data for the variables Liquid Precipitation, Total Precipitation, Relative Humidity, Wind Speed and Temperature. Hourly data are available by contacting the author. [ES] Contiene un fichero netCDF por variable y a??o hidrol??gico con los datos diarios de las variables Precipitaci??n l??quida, Precipitaci??n total, Humedad relativa, Velocidad del Viento y Temperatura. Los datos horarios est??n disponibles contactando con el autor.
description: [EN] PIRAGUA_atmos_analysis is a daily gridded dataset of screen-level meteorological variables created with the aim to force hydrological and land-surface models. The grid has a spatial resolution of 2.5 km. It was created using the SAFRAN algorithm. SAFRAN uses optimal interpolation to combine a first guess (ERA5) and meteorological observations (from AEMET and M??t??o-France in this case). The dataset contains the following variables: Precipitation, wind speed, temperature and relative humidity. EFA210/16 PIRAGUA Project aims to "Evaluation and prospective of the water resources of the Pyrenees in a context of climate change, and adaptation measures with impact on the territory".
description: [ES] PIRAGUA_atmos_an??lisis es un conjunto de datos diarios reticulados de variables meteorol??gicas cerca de la superficie creado con el objetivo de forzar modelos hidrol??gicos y de superficie terrestre (LSM). La malla tiene una resoluci??n de 2,5 km. Se cre?? utilizando el algoritmo SAFRAN. SAFRAN utiliza interpolaci??n ??ptima para combinar una primera estimaci??n (ERA5) y las observaciones meteorol??gicas (de AEMET y M??t??o-France, en este caso). El conjunto de datos contiene las siguientes variables: Precipitaci??n, velocidad del viento, temperatura y humedad relativa. El Proyecto EFA210/16 PIRAGUA tiene como objetivo la "Evaluaci??n y prospectiva de los recursos h??dricos de los Pirineos en un contexto de cambio clim??tico, y medidas de adaptaci??n con impacto en el territorio".
DOI: 10.20350/digitalcsic/15432
title: Supplementary data: A roadmap for the functional annotation of protein families: a community perspective

description: Sup1-Meeting-Full-agenda. Sup2-Survey1-results.xlsx Sup3-Survey2-Results.xlsx
DOI: 10.20350/digitalcsic/14628
title: Document level disaggregated data about evaluation and publication delay in Ibero-American scientific journals (2018-2020) [DATASET]
title: Datos desagregados a nivel documento sobre los periodos de demora de evaluaci??n y publicaci??n de revistas cient??ficas iberoamericanas (2018-2020) [DATASET]

description: [EN] Document level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: document identifier; identifier of the journal section in which the document was include; literal of journal section in which the document was include; source data; year of the publication of the article; email of one of the authors of the article; reception date of the article; acceptance date of the article; publication date of the article; days between reception date and acceptance date; days between acceptance date and publication date; days between reception date and publication date; identifier of the country/region of the journal; literal of the country/region of the journal; subject area identifier; subject area literal; journal periodicity identifier; journal periodicity; journal identifier; ISSN; journal title.
description: [ES] Datos desagregados a nivel documento sobre las fechas de revisi??n, aceptaci??n y publicaci??n de una muestra de 21890 art??culos de 326 revistas cient??ficas iberoamericanas de todas las ??reas tem??ticas y pa??ses incluidos en el Cat??logo Latindex 2.0 y publicados entre 2018 y 2020. Las variables incluidas son: identificador de documento; identificador de la secci??n de la revista en la que se incluy?? el documento; literal de la secci??n de la revista en la que se incluy?? el documento; datos fuente del art??culo; a??o de la publicaci??n del art??culo; correo electr??nico de uno de los autores del art??culo; fecha de recepci??n del art??culo; fecha de aceptaci??n del art??culo; fecha de publicaci??n del art??culo; d??as entre la fecha de recepci??n y la fecha de aceptaci??n; d??as entre la fecha de aceptaci??n y la fecha de publicaci??n; d??as entre la fecha de recepci??n y la fecha de publicaci??n; identificador de pa??s/regi??n de publicaci??n de la revista; literal del pa??s/regi??n de publicaci??n de la revista; identificador del ??rea tem??tica; Literal del ??rea tem??tica; identificador de la periodicidad de la revista ; periodicidad de la revista; identificador de la revista; ISSN; t??tulo de la revista.
DOI: 10.20350/digitalcsic/14565
title: Descriptive statistic dataset about evaluation and publication delay in Ibero-Aamerican scientific journals (2018-2020) [DATASET]
title: Conjunto de datos estad??sticos descriptivos sobre los periodos de demora de evaluaci??n y publicaci??n de revistas cient??ficas iberoamericanas (2018-2020) [DATASET]

description: [EN] Descriptive statistical data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. Number of cases, average, median, mode, maximum and standard deviation of the evaluation, publication and total days, disaggregated by document type, periodicity, subject area and country are included in the dataset. Also data about the number of journals by subject area and country used to build the analysed sample database are included.
DOI: 10.20350/digitalcsic/14716
title: Chromatographic data for the determination of sulfonamides in waters associated to Fig. 7 (in CSV) of the paper "Preparation and further evaluation of L-menthol-based natural deep eutectic solvents as supported liquid membrane for the hollow fiber liquid-phase microextraction of sulfonamides from environmental waters" to be published in Advances in Sample Preparation

description: Data were automatically generated by the instrument.
description: In this work, the use of a hydrophobic natural deep eutectic solvent (NADES) as supported liquid membrane (SLM) for hollow fiber liquid-phase microextraction (HF-LPME) of sulfonamides is proposed. The combination of formic acid:L-menthol (1:1) was selected as optimum. The optimized HF-LPME procedure was applied to the analysis of an artificial water containing humic acids, tap and river water samples by HPLC with UV detection at 268 nm. The chromatographic data associated to Fig.7 of paper published in Advances of Sample Preparation are provided as csv files as follows: Fig7Aa: Milli-Q water; Fig7Ab; artificial water; Fig7Ba: Tap water (a); Fig7Bb: Manzanares river; Fig7Bc: Jarama river. All the samples were spiked with selected sulfonamides at 10 ??g/L concentration level.
description: Fig7Aa_D??az-??lvarez and Mart??n-Esteban_SAMPRE.csv, Fig7Ab_D??az-??lvarez and Mart??n-Esteban_SAMPRE.csv, Fig7Ba_D??az-??lvarez and Mart??n-Esteban_SAMPRE.csv, Fig7Bb_D??az-??lvarez and Mart??n-Esteban_SAMPRE.csv, Fig7Bc_D??az-??lvarez and Mart??n-Esteban_SAMPRE.csv
DOI: 10.20350/digitalcsic/14627
title: Journal level disaggregated data about evaluation and publication delay in Ibero-American scientific journals (2018-2020) [DATASET]
title: Datos desagregados a nivel revista sobre los periodos de demora de evaluaci??n y publicaci??n de revistas cient??ficas iberoamericanas (2018-2020) [DATASET]

description: [EN] Journal level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: journal identifier; ISSN; journal title; identifier of the country/region of the journal; literal of the country/region of the journal; Subject area identifier; Subject area literal; journal periodicity identifier; journal periodicity; number of articles of each journal included in the study; average, median, minimum, maximum, range, standard deviation of evaluation days; average, median, minimum, maximum, range, standard deviation of publication days; average of total days calculated in weeks; median of total days calculated in weeks; number of weeks of the total process (from reception to publication) declared by the publishers at DOAJ; difference between total days calculated in weeks and data declared by the publishers at DOAJ; indication of a journal maintains a paper version; Compound Index of Secondary Diffusion (ICDS).
description: [ES] Datos desagregados a nivel revista sobre las fechas de revisi??n, aceptaci??n y publicaci??n de una muestra de 21890 art??culos de 326 revistas cient??ficas iberoamericanas de todas las ??reas tem??ticas y pa??ses incluidos en el Cat??logo Latindex 2.0 y publicados entre 2018 y 2020. Las variables incluidas son: identificador de la revista; ISSN; t??tulo de la revista; identificador de pa??s/regi??n de publicaci??n de la revista; literal del pa??s/regi??n de publicaci??n de la revista; identificador del ??rea tem??tica; literal del ??rea tem??tica; identificador de la periodicidad de la revista; periodicidad de la revista; n??mero de art??culos de cada revista incluidos en el estudio; media, mediana, m??nimo, m??ximo, rango y desviaci??n t??pica de los d??as de evaluaci??n; media, mediana, m??nimo, m??ximo, rango y desviaci??n t??pica de los d??as de publicaci??n; media de los d??as totales del proceso calculada en semanas; mediana de los d??as totales del proceso calculada en semanas; n??mero de semanas del proceso total (desde la recepci??n hasta la publicaci??n) declarado por los editores en DOAJ; diferencia entre la media de los d??as totales calculados en semanas y los datos declarados por los editores en DOAJ; indicativo de si la revista mantiene una edici??n en papel; ??ndice Compuesto de Difusi??n Secundaria (ICDS)
DOI: 10.20350/digitalcsic/14750
title: Coastal pH variability reconstructed through machine learning in the Balearic Sea

description: [Description of methods used for collection/generation of data] Data was acquired in both stations using a SAMI-pH (Sunburst Sensors LCC) was attached, at 1 m in the Bay of Palma and at 4 m depth in Cabrera. The pH sensors were measuring pH, in the total scale (pH????), hourly since December 2018 in the Bay of Palma and since November 2019 in Cabrera. The sensor precision and accuracy are &lt; 0.001 pH and ?? 0.003 pH units, respectively. Monthly maintenance of the sensors was performed including data download and surface cleaning. Temperature and salinity for the Cabrera mooring line was obtained starting November 2019 with a CT SBE37 (Sea-Bird Scientific??). Accuracy of the CT is ?? 0.002 ???C for temperature and ?? 0.003 mS cm???1???1 for conductivity. Additionally, oxygen data from a SBE 63 (Sea-Bird Scientific ??) sensor attached to the CT in Cabrera were used. Accuracy of oxygen sensors is ?? 2%, ?? 1% and ?? 5% for the SBE 63.
description: [Methods for processing the data] Once data (available at https://doi.org/XXX/DigitalCSIC/XXX) was validated, several processing steps were performed to ensure an optimal training process for the neural network models. First, all the data of the time series were re-sampled by averaging the data points obtaining a daily frequency. Afterwards, a standard feature-scaling procedure (min-max normalization) was applied to every feature (temperature, salinity and oxygen) and to pHT. Finally, we built our training and validations sets as tensors with dimensions (batchsize, windowsize, ????features), where batchsize is the number of examples to train per iteration, windowsize is the number of past and future points considered and ????features is the number of features used to predict the target series. Temperature values below ????=12.5T=12.5 ??C were discarded as they are considered outliers in sensor data outside the normal range in the study area. A BiDireccional Long Short-Term Memory (BD-LSTM) neural network was selected as the best architecture to reconstruct the pHT time series, with no signs of overfitting and achieving less than 1% error in both training and validation sets. Data corresponding to the Bay of Palma were used in the selection of the best neural network architecture. The code and data used to determine the best neural network architecture can be found in a GitHub repository mentioned in the context information.
DOI: 10.20350/digitalcsic/14664
title: Short- and medium-term thermal response of the marine calanoid copepod Paracartia grani [Dataset]

description: We have studied the phenotypic response, at the cellular and organismal levels, of the marine calanoid copepod Paracartia grani to short- and medium-term thermal stress
description: Survival, body composition stoichiometry, enzymatic biomarkers, LPO levels, ingestion rates, fecal pellet production rates, egg production rates, gross-growth efficiencies, respiration rates
DOI: 10.20350/digitalcsic/14749
title: Coastal pH variability in the Balearic Sea

description: [Description of methods used for collection/generation of data] In both stations a SAMI-pH (Sunburst Sensors LCC) was attached, at 1 m in the Bay of Palma and at 4 m depth in Cabrera. The pH sensors were measuring pH, in the total scale (pH????T), hourly since December 2018 in the Bay of Palma and since November 2019 in Cabrera. The sensor precision and accuracy are &lt; 0.001 pH and ?? 0.003 pH units, respectively. Monthly maintenance of the sensors was performed including data download and surface cleaning. Temperature and salinity for the Cabrera mooring line was obtained starting November 2019 with a CT SBE37 (Sea-Bird Scientific??). Accuracy of the CT is ?? 0.002 ???C for temperature and ?? 0.003 mS cm???1???1 for conductivity. Additionally, oxygen data from a SBE 63 (Sea-Bird Scientific ??) sensor attached to the CT in Cabrera were used. Accuracy of oxygen sensors is ?? 2%, ?? 1% and ?? 5% for the SBE 63.
description: [Methods for processing the data] Periodically water samplings for dissolved oxygen (DO), pH in total scale at 25 ???C (pH????25T25) and total alkalinity (TA) were obtained during the sensor maintenance campaigns. DO and (pH????25) samples were collected in order to validate the data obtained by the sensors. DO concentrations were evaluated with the Winkler method modified by Benson and Krause by potentiometric titration with a Metrohm 808 Titrando with a accuracy of the method of ?? 2.9 ??mol kg???1??mol kg???1 and with an obtained standard deviation from the sensors data and the water samples collected of ?? 5.9 ??mol kg???1??mol kg???1. pH????25T25 data was obtained by the spectrophotometric method with a Shimadzu UV-2501 spectrophotometer containing a 25 ???C-thermostated cells with unpurified m-cresol purple as indicator following the methodology established by Clayton and Byrne by using Certified Reference Material (CRM Batch #176 supplied by Prof. Andrew Dickson, Scripps Institution of Oceanography, La Jolla, CA, USA). The accuracy obtained from the CRM Batch was of ?? 0.0051 pH units and the precision of the method of ?? 0.0034 pH units. The mean difference between the SAMI-pH and discrete samples was of 0.0017 pH units.