cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/yrknwvlblgrgrk-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,2-bis(4-nitrophenyl)ethane-1,2-dione)
title: InChI=1S/C14H8N2O6/c17-13(9-1-5-11(6-2-9)15(19)20)14(18)10-3-7-12(8-4-10)16(21)22/h1-8H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm): δ = 190.3 (2C=O), 151.4 (2C-NO2), 136.7 (2CAr), 131.2 (4CArH), 124.3 (4CArH).
DOI: 10.14272/mwjhdsaagsurca-uhfffaoysa-n.1
title: 4-(2-oxo-2-phenyl-acetyl)benzoic acid
title: InChI=1S/C15H10O4/c16-13(10-4-2-1-3-5-10)14(17)11-6-8-12(9-7-11)15(18)19/h1-9H,(H,18,19)

description: This dataset contains experimental data from a sample (4-(2-oxo-2-phenylacetyl)benzoic acid, InChI=1S/C15H10O4/c16-13(10-4-2-1-3-5-10)14(17)11-6-8-12(9-7-11)15(18)19/h1-9H,(H,18,19)). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/mwjhdsaagsurca-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-(2-oxo-2-phenylacetyl)benzoic acid)
title: InChI=1S/C15H10O4/c16-13(10-4-2-1-3-5-10)14(17)11-6-8-12(9-7-11)15(18)19/h1-9H,(H,18,19)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, DMSO-d6, ppm) δ = 194.2 (s, Cq), 194.1 (s, Cq), 166.3 (s, Cq), 135.7 (s, 2 x Cq), 135.1 (s, Cq), 132.0 (s, CarH), 130.1 (s, 2 x CarH), 129.9 (s, 2 x CarH), 129.8 (s, 2 x CarH), 129.5 (s, 2 x CarH).
DOI: 10.14272/mwjhdsaagsurca-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (4-(2-oxo-2-phenylacetyl)benzoic acid)
title: InChI=1S/C15H10O4/c16-13(10-4-2-1-3-5-10)14(17)11-6-8-12(9-7-11)15(18)19/h1-9H,(H,18,19)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 8.1 (m, 2H, CHar), 8.04 (m, 2H, CHar), 7.96 (m, 2H, CHar), 7.82 (m, 1H, CHar), 7.64 (m, 2 H, CHar). Missing (1H, COOH) Signal due to H/D exchange in DMSO-d6.
DOI: 10.14272/sgkvxdktnjhbca-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1,2-bis(3-nitrophenyl)ethane-1,2-dione)
title: InChI=1S/C14H8N2O6/c17-13(9-3-1-5-11(7-9)15(19)20)14(18)10-4-2-6-12(8-10)16(21)22/h1-8H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 8.80 (t, J = 1.9 Hz, 2H), 8.50 (m, 2H), 8.32 (dt, J = 7.8, 1.3 Hz, 2H), 7.73 (t, J = 8.0 Hz, 2H). Impurities: this spectrum contains around 10 % impurities at 1.46 ppm (cyclohexane) and 1.18 ppm (ethyl acetate).
DOI: 10.14272/sgkvxdktnjhbca-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1,2-bis(3-nitrophenyl)ethane-1,2-dione)
title: InChI=1S/C14H8N2O6/c17-13(9-3-1-5-11(7-9)15(19)20)14(18)10-4-2-6-12(8-10)16(21)22/h1-8H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (101 MHz, CDCl3, ppm) δ = 163.9 (2C=O), 149.3 (2C-NO2), 137.7 (2CAr), 131.1 (CHAr), 128.8 (2CHAr), 128.4 (2CHAr), 124.9 (2CHAr), 120.1 (CHAr)
DOI: 10.14272/sgkvxdktnjhbca-uhfffaoysa-n.1
title: 1,2-bis(3-nitrophenyl)ethane-1,2-dione
title: InChI=1S/C14H8N2O6/c17-13(9-3-1-5-11(7-9)15(19)20)14(18)10-4-2-6-12(8-10)16(21)22/h1-8H

description: This dataset contains experimental data from a sample (1,2-bis(3-nitrophenyl)ethane-1,2-dione, InChI=1S/C14H8N2O6/c17-13(9-3-1-5-11(7-9)15(19)20)14(18)10-4-2-6-12(8-10)16(21)22/h1-8H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/ybgsmmqiemvnhb-nbhchveosa-n/chmo0000593.1
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C26H20N2/c1-5-13-21(14-6-1)25(27-23-17-9-3-10-18-23)26(22-15-7-2-8-16-22)28-24-19-11-4-12-20-24/h1-20H/b27-25+,28-26+

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, CDCl3, ppm) δ = 7.82 (m, 4H), 7.35 (m, 6H), 6.95 (m, 6H), 6.45 (m, 4H). Impurities: there are impurities at 3.41 ppm (methanol), 1.66 ppm (water) and 1.13 ppm (grease)
DOI: 10.14272/ybgsmmqiemvnhb-nbhchveosa-n/chmo0000595.1
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C26H20N2/c1-5-13-21(14-6-1)25(27-23-17-9-3-10-18-23)26(22-15-7-2-8-16-22)28-24-19-11-4-12-20-24/h1-20H/b27-25+,28-26+

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, CDCl3, ppm) δ = 189.6 (2C=N), 148.7 (2Car-N), 135.4 (5CarH), 133.7 (2Car), 130.6 (5CarH), 129.3 (5CarH), 125.0 (5CarH).
DOI: 10.14272/ybgsmmqiemvnhb-nbhchveosa-n.2
title: C26H20N2
title: InChI=1S/C26H20N2/c1-5-13-21(14-6-1)25(27-23-17-9-3-10-18-23)26(22-15-7-2-8-16-22)28-24-19-11-4-12-20-24/h1-20H/b27-25+,28-26+

description: This dataset contains experimental data from a sample (InChI=1S/C26H20N2/c1-5-13-21(14-6-1)25(27-23-17-9-3-10-18-23)26(22-15-7-2-8-16-22)28-24-19-11-4-12-20-24/h1-20H/b27-25+,28-26+). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/ivuxdmqtcnwtdp-uhfffaoysa-n.1
title: 1-(4-hydroxyphenyl)-2-phenylethane-1,2-dione
title: InChI=1S/C14H10O3/c15-12-8-6-11(7-9-12)14(17)13(16)10-4-2-1-3-5-10/h1-9,15H

description: This dataset contains experimental data from a sample (1-(4-hydroxyphenyl)-2-phenylethane-1,2-dione, InChI=1S/C14H10O3/c15-12-8-6-11(7-9-12)14(17)13(16)10-4-2-1-3-5-10/h1-9,15H). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/ivuxdmqtcnwtdp-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1-(4-hydroxyphenyl)-2-phenylethane-1,2-dione)
title: InChI=1S/C14H10O3/c15-12-8-6-11(7-9-12)14(17)13(16)10-4-2-1-3-5-10/h1-9,15H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, DMSO-d6, ppm) δ = 10.90 (s, 1H), 7.90–7.88 (m, 2H), 7.82–7.74 (m, 3H), 7.64–7.60 (m, 2H), 6.96–6.94 (m, 2H). Impurities: 10% acetone, 5% cyclohexane and unknown impurities 1.13 –1.20 ppm.
DOI: 10.14272/ivuxdmqtcnwtdp-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1-(4-hydroxyphenyl)-2-phenylethane-1,2-dione)
title: InChI=1S/C14H10O3/c15-12-8-6-11(7-9-12)14(17)13(16)10-4-2-1-3-5-10/h1-9,15H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, DMSO-d6, ppm) δ = 195.4 (s. Cq), 193.1 (s, Cq), 164.2 (s, Cq), 135.2 (s, CarH), 132.7 (s, Cq), 132.5 (s, 2 x CarH), 129.5 (s, 4 x CarH), 123.8 (s, Cq), 116.2 (s, 2 x CarH).
DOI: 10.5525/gla.researchdata.1299
title: Cystic echinococcosis in northern Tanzania: a pilot study in Masaai livestock-keeping communities
DOI: 10.21954/ou.rd.14701491
title: Covid Chronicles : A Book in a Crisis - Reflections on the Power of Reading

description: Professor of Twentieth-Century Literature at The Open University, Dr Sara Haslam, offers new ways of thinking about how, during the pandemic, books can both nourish and heal and how reading can be a vital act of curative self-determination in the face of oppression, confinement, illness and suffering. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can also be found on our website.
DOI: 10.21954/ou.rd.14701491.v1
title: Covid Chronicles : A Book in a Crisis - Reflections on the Power of Reading

description: Professor of Twentieth-Century Literature at The Open University, Dr Sara Haslam, offers new ways of thinking about how, during the pandemic, books can both nourish and heal and how reading can be a vital act of curative self-determination in the face of oppression, confinement, illness and suffering. <br> ----- This material is part of the Covid Chronicles from the Margins project, funded by The Open University and The Hague. The project aims to highlight the impact of the pandemic on refugees, asylum seekers & undocumented migrants. <br> This item can also be found on our website.
DOI: 10.6084/m9.figshare.21502308
title: DATA REPOSITORY FOR COVID19 BURNOUT SCALE.zip

description: Data for the development of covid-19 burnout scale
DOI: 10.6084/m9.figshare.21501924
title: Alignment S4

description: Alignment of 226 alpha TUB sequences used in individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501924.v1
title: Alignment S4

description: Alignment of 226 alpha TUB sequences used in individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501927
title: Alignment S2

description: Alignment of 334 EF1a sequences used for individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501927.v1
title: Alignment S2

description: Alignment of 334 EF1a sequences used for individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501933
title: Alignment S1

description: Alignment of 346 SSU sequences used for individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501933.v1
title: Alignment S1

description: Alignment of 346 SSU sequences used for individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501939
title: Alignment S3

description: Alignment of 267 mitochondrial SSU sequences used in individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501936.v1
title: Alignment S5

description: Concatenated alignment used for final (multigene) phylogenetic analyses. It includes data from 384 specimens.
DOI: 10.6084/m9.figshare.21501939.v1
title: Alignment S3

description: Alignment of 267 mitochondrial SSU sequences used in individual phylogenetic analyses.
DOI: 10.6084/m9.figshare.21501921
title: Alignment S7

description: Alignment of a-Tub sequences with introns used to check insertion sites.
DOI: 10.6084/m9.figshare.21501921.v1
title: Alignment S7

description: Alignment of a-Tub sequences with introns used to check insertion sites.
DOI: 10.6084/m9.figshare.21501930
title: Alignment S6

description: Alignment of EF1a sequences with introns used to check insertion sites.
DOI: 10.6084/m9.figshare.21501930.v1
title: Alignment S6

description: Alignment of EF1a sequences with introns used to check insertion sites.
DOI: 10.6084/m9.figshare.21501936
title: Alignment S5

description: Concatenated alignment used for final (multigene) phylogenetic analyses. It includes data from 384 specimens.
DOI: 10.6084/m9.figshare.21502317
title: Untitled Item

description: Relative abundance of genes related to carbon, nitrogen, phosphorus and sulfur cycle
DOI: 10.6084/m9.figshare.21502317.v1
title: Untitled Item

description: Relative abundance of genes related to carbon, nitrogen, phosphorus and sulfur cycle
DOI: 10.6084/m9.figshare.19744933.v12
title: Chatbot Ai-aun

description: Chatbot Ai-aun
DOI: 10.3886/e115161
title: Data and Code for: Who Benefits When Firms Game Corrective Policies?

description: Firms sometimes comply with externality-correcting policies by gaming the measure that determines policy. This harms buyers by eroding information, but it benefits them when cost savings are passed through into prices. We develop a model that highlights this tension and use it to analyze gaming of automobile carbon emission ratings in the EU. We document startling increases in gaming using novel data. We then analyze the effects of gaming in calibrated simulations. Over a wide range of parameters, we find that pass through substantially outweighs information distortions; on net, buyers benefit from gaming, even when they are fooled by it.
DOI: 10.3886/e115161v1
title: Data and Code for: Who Benefits When Firms Game Corrective Policies?

description: Firms sometimes comply with externality-correcting policies by gaming the measure that determines policy. This harms buyers by eroding information, but it benefits them when cost savings are passed through into prices. We develop a model that highlights this tension and use it to analyze gaming of automobile carbon emission ratings in the EU. We document startling increases in gaming using novel data. We then analyze the effects of gaming in calibrated simulations. Over a wide range of parameters, we find that pass through substantially outweighs information distortions; on net, buyers benefit from gaming, even when they are fooled by it.
DOI: 10.5519/qd.gg7ps066
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (292 records)
DOI: 10.6084/m9.figshare.19744933.v13
title: Chatbot Ai-aun

description: Chatbot Ai-aun
DOI: 10.6084/m9.figshare.19134729
title: Driving risks of young drivers with symptoms of attention deficit hyperactivity disorder: association with the dopamine transporter gene VNTR polymorphism

description: Road traffic injuries are a leading cause of death for young adults, and young drivers with higher expression of symptoms of attention deficit-hyperactivity disorder (ADHD) could pose an even greater risk in traffic. Dopaminergic dysfunction has been found to occur in ADHD, with the dopamine transporter (DAT) gene VNTR polymorphism (<i>DAT1</i> VNTR; rs28363170) being one of the most consistent genetic markers. Thus, we aimed at clarifying how the ADHD symptoms and the <i>DAT1</i> VNTR relate to risk-taking behaviour in traffic, impulsivity and driving anger in young drivers. We used data of two traffic behaviour study samples (<i>n</i> = 741, mean age = 23.3 ± 7.2 years; <i>n</i> = 995, mean age = 22.9 ± 8.1 years) and the Estonian Children Personality Behaviour and Health Study (ECPBHS; traffic behaviour data <i>n</i> = 1,016, mean age = 25.2 ± 2.1 years). ADHD symptoms were assessed by self-report with the Adult ADHD Self-Report Scale (ASRS v1.1) and impulsivity with the Adaptive and Maladaptive Impulsivity Scale. Traffic behavioural measures were either self-reported (Driver Behaviour Questionnaire, Driving Anger Scale) or obtained from databases (registered accidents and violations). Drivers with more self-reported ADHD symptoms also reported more risk-taking in traffic and had more of recorded traffic accidents and violations. <i>DAT1</i> 9 R carriers had a higher probability of high traffic risk behaviour only if they also had ADHD symptoms. Higher level of ADHD symptoms is a significant risk factor in traffic, and carrying of the <i>DAT1</i> 9 R allele appears to aggravate these risks.
DOI: 10.6084/m9.figshare.19134729.v1
title: Driving risks of young drivers with symptoms of attention deficit hyperactivity disorder: association with the dopamine transporter gene VNTR polymorphism

description: Road traffic injuries are a leading cause of death for young adults, and young drivers with higher expression of symptoms of attention deficit-hyperactivity disorder (ADHD) could pose an even greater risk in traffic. Dopaminergic dysfunction has been found to occur in ADHD, with the dopamine transporter (DAT) gene VNTR polymorphism (<i>DAT1</i> VNTR; rs28363170) being one of the most consistent genetic markers. Thus, we aimed at clarifying how the ADHD symptoms and the <i>DAT1</i> VNTR relate to risk-taking behaviour in traffic, impulsivity and driving anger in young drivers. We used data of two traffic behaviour study samples (<i>n</i> = 741, mean age = 23.3 ± 7.2 years; <i>n</i> = 995, mean age = 22.9 ± 8.1 years) and the Estonian Children Personality Behaviour and Health Study (ECPBHS; traffic behaviour data <i>n</i> = 1,016, mean age = 25.2 ± 2.1 years). ADHD symptoms were assessed by self-report with the Adult ADHD Self-Report Scale (ASRS v1.1) and impulsivity with the Adaptive and Maladaptive Impulsivity Scale. Traffic behavioural measures were either self-reported (Driver Behaviour Questionnaire, Driving Anger Scale) or obtained from databases (registered accidents and violations). Drivers with more self-reported ADHD symptoms also reported more risk-taking in traffic and had more of recorded traffic accidents and violations. <i>DAT1</i> 9 R carriers had a higher probability of high traffic risk behaviour only if they also had ADHD symptoms. Higher level of ADHD symptoms is a significant risk factor in traffic, and carrying of the <i>DAT1</i> 9 R allele appears to aggravate these risks.
DOI: 10.6069/wefm-vv52
title: A Peptide-Centric Quantitative Proteomics Dataset for the Phenotypic Assessment of Alzheimer’s Disease

description: Alzheimer’s disease (AD) is a looming public health disaster with limited interventions. Desperately needed progress in therapeutic development rests on more detailed understanding of molecular pathogenesis. The vast majority of existing data for AD pathogenesis in humans is from standard neuropathologic assessments, e.g., neuritic plaques and neurofibrillary tangles or biochemical measurement of a limited number of analytes directly related to neuropathologic features, e.g., amyloid-β peptides and hyperphosphorylated tau. Standard neuropathologic evaluation is highly valuable as the only tool that provides comprehensive assessment of diseases that afflict an individual brain, but it also is severely limited in its ability to investigate molecular pathogenesis. Advances in mass spectrometry-based proteomics techniques provide robust quantitative measures, allowing for insight into the protein phenotype in brains with AD neuropathology. Careful selection of individuals in multiple research cohorts enabled us, for the first time, to investigate the full spectrum of molecular signatures specific to autosomal dominant AD dementia (ADD), sporadic ADD with minimal comorbidities, individuals without dementia who had high histopathologic burden of AD, and cognitively normal individuals with no or minimal AD histopathologic burden.
DOI: 10.15139/s3/win7sm
title: Replication Data for: The Accuracy of Identifying Constituencies with Geographic Assignment Within State Legislative Districts

description: Identifying the geographic constituencies of representatives is among the most crucial, yet challenging, aspects of state and local politics research. Regularly changing district lines, incomplete data, and computational obstacles can present barriers to matching individuals to their respective districts. Geocoding residential addresses is the ideal method for matching purposes. However, cost constraints can limit its applicability for many researchers, leading to geographic assignment methods that use polygonal units, like ZIP Codes, to estimate constituency membership. In this letter, we quantify the trade-offs between three geographic assignment matching methods--centroid, geographic overlap, and population overlap matching--on the assignment of individual voters to state legislative districts. We confirm that population overlap matching produces the highest accuracy in assigning voters to their state legislative districts when polygonal location data are all that is available. We validate this finding by improving model estimates of lobbying influence through a replication analysis of Bishop and Dudley (2017). Our replication suggests that distinguishing between out-of-district and in-district donations reveals a greater impact for in-district lobbying efforts. We make evident that population overlap assignment can confidently be used to identify constituencies when precise location data is not available.
DOI: 10.5281/zenodo.7290177
title: Samples in Westergren tubes for automated measurements of ESR

description: Image sequence of blood samples in Westergren tubes, used to perform automated measurements of Erythocyte Sedimentation Rate (ESR). (Methodological publication with open-access code is under review.)
DOI: 10.5281/zenodo.7290176
title: Samples in Westergren tubes for automated measurements of ESR

description: Image sequence of blood samples in Westergren tubes, used to perform automated measurements of Erythocyte Sedimentation Rate (ESR). (Methodological publication with open-access code is under review.)
DOI: 10.6084/m9.figshare.21502335
title: Alignments

description: Alignments used in the paper "Multigene phylogeny of the order Physarales (Myxomycetes, Amoebozoa): shedding light on the dark-spored clade".
DOI: 10.5281/zenodo.7290141
title: Appendix 1 - 3 for Cooper et al., IN REVIEW - A new large †pachycormiform (Teleostei: †Pachycormiformes) from the Lower Jurassic of Germany, with affinities to the sus-pension-feeding clade and comments on the gastrointestinal anatomy of pachycormid fishes

description: Contains Appendix 1 - 3 for paper titled: A new large †pachycormiform (Teleostei: †Pachycormiformes) from the Lower Jurassic of Germany, with affinities to the suspension-feeding clade and comments on the gastrointestinal anatomy of pachycormid fishes. Appendix 1 = supp. figs + phylongeny data Appendix 2 = Friedman 2012 phylogenetic matrix Appendix 3 = Gouiric-Cavalli and Arratia 2022 phylogenetic matrix
DOI: 10.5281/zenodo.7290140
title: Appendix 1 - 3 for Cooper et al., IN REVIEW - A new large †pachycormiform (Teleostei: †Pachycormiformes) from the Lower Jurassic of Germany, with affinities to the sus-pension-feeding clade and comments on the gastrointestinal anatomy of pachycormid fishes

description: Contains Appendix 1 - 3 for paper titled: A new large †pachycormiform (Teleostei: †Pachycormiformes) from the Lower Jurassic of Germany, with affinities to the suspension-feeding clade and comments on the gastrointestinal anatomy of pachycormid fishes. Appendix 1 = supp. figs + phylongeny data Appendix 2 = Friedman 2012 phylogenetic matrix Appendix 3 = Gouiric-Cavalli and Arratia 2022 phylogenetic matrix
DOI: 10.5281/zenodo.4552041
title: Spanish Clinical Word Embeddings in FastText

description: <strong>Spanish Clinical Word Embeddings in FastText</strong> These embeddings have been generated from the largest corpus ever made from Spanish Clinical resources till the date. <strong>Citation</strong> <pre><code>@misc{temu2021spanish, title={Spanish Biomedical and Clinical Language Embeddings}, author={Asier Gutiérrez-Fandiño and Jordi Armengol-Estapé and Casimiro Pio Carrino and Ona De Gibert and Aitor Gonzalez-Agirre and Marta Villegas}, year={2021}, eprint={2102.12843}, archivePrefix={arXiv}, primaryClass={cs.CL} }</code></pre> <strong>Copyright</strong> Copyright (c) 2021 Secretaría de Estado de Digitalización e Inteligencia Artificial
description: Funded by the Plan de Impulso de las Tecnologías del Lenguaje (Plan TL).