cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, acetonitrile-d3, ppm): δ = 8.14 (d, J = 9.9 Hz, 1H, glu-NαH), 6.99 (d, J = 7.4 Hz, 1H, tyr-CH), 6.93 (t, J = 7.6 Hz, 1H, tyr-CH), 6.84–6.78 (m, 1H, ile-NαH), 6.61 (t, J = 7.4 Hz, 1H, tyr-CH), 6.49 (d, J = 7.8 Hz, 1H, tyr-CH), 5.95 (d, J = 8.0 Hz, 1H, tyr-NαH), 4.72 (td, J = 9.6, 5.4 Hz, 1H, glu-CαH), 4.48 (d, J = 8.8 Hz, 1H, pro‑CαH), 3.86 (t, J = 8.2 Hz, 1H, tyr‑CαH), 3.36–3.31 (m, 2H, pro-CδH2), 3.15 (dd, J = 10.8, 4.4 Hz, 1H, ile‑CαH), 2.72 (d, J = 12.9 Hz, 1H, tyr-CHH), 2.49–2.46 (m, 1H, tyr-CHH), 2.22 (t, J = 7.8 Hz, 2H, glu‑CγH2), 2.04–1.83 (m, 5H, glu-CβH2, pro-CβH2, pro‑CγHH), 1.81–1.68 (m, 2H, ile-CH, pro‑CγHH), 1.28–1.16 (m, 1H, ile-CHH), 0.75 (t, J = 7.3 Hz, 3H, ile-CH2CH3), 0.66 (d, J = 6.8 Hz, 3H, ile-CHCH3), 0.60–0.53 (m, 1H, ile-CHH). Missing Protons: (2H, tyr-OH, glu-COOH) Impurities: Isomers of tert-butyl 3-((3S,6S,9S,14aR)-6-(4-(tert-butoxy)benzyl)-9-(sec-butyl)-1,4,7,10-tetraoxotetradecahydropyrrolo[1,2-a][1,4,7,10]tetraazacyclododecin-3-yl)propanoate
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.14272/xkoxvldnaloepv-opfzvleesa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C25H34N4O7/c1-3-14(2)21-25(36)29-12-4-5-19(29)24(35)26-17(10-11-20(31)32)22(33)27-18(23(34)28-21)13-15-6-8-16(30)9-7-15/h6-9,14,17-19,21,30H,3-5,10-13H2,1-2H3,(H,26,35)(H,27,33)(H,28,34)(H,31,32)/t14?,17-,18-,19+,21-/m0/s1

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, acetonitrile, ppm) δ = 175.4 (Cq, CO), 173.0 (Cq, CO), 172.7 (Cq, CO), 171.3 (Cq, CO), 169.6 (Cq, CO), 150.2 (Cq, tyr-CarO), 129.9 (Cq, tyr-Car), 129.7 (+, tyr-CH), 125.2 (+, tyr-CH), 119.7 (+, tyr-CH), 110.5 (+, tyr-CH), 64.3 (+, ile-CαH), 62.3 (+, pro-CαH), 58.8 (+, tyr-CαH), 49.2 (+, glu-CαH), 48.5 (–, pro-CδH2), 35.5 (–, tyr-CH2), 33.2 (+, ile-CH), 32.8 (–, glu-CβH2), 30.6 (–, glu-CγH2), 27.7 (–, ile-CH2), 27.2 (–, pro-CβH2), 21.9 (–, pro-CγH2), 15.4 (+, ile-CH3), 10.8 (+, ile-CH3). Impurities: Isomers of tert-butyl 3-((3S,6S,9S,14aR)-6-(4-(tert-butoxy)benzyl)-9-(sec-butyl)-1,4,7,10-tetraoxotetradecahydropyrrolo[1,2-a][1,4,7,10]tetraazacyclododecin-3-yl)propanoate
DOI: 10.14457/tu.the.2009.919
title: มาตรการทางกฎหมายในการรองรับการค้าต่างตอบแทนระหว่างประเทศ
DOI: 10.14457/tu.the.2009.920
title: ผลกระทบจากการแก้ไขกฎหมายที่เกี่ยวข้องกับการใช้ความรุนแรงในครอบครัว :
DOI: 10.14457/tu.the.2009.921
title: การกำหนดฐานความผิดและโทษในพระอัยการอาชญาหลวงและพระอัยการอาชญาราษฎร์กับกฎหมายอาญาสมัยใหม่
DOI: 10.14457/tu.the.2009.922
title: ปัญหาการปรับใช้ความรับผิดเพื่อละเมิดของนิติบุคคลตามประมวลกฎหมายแพ่งและพาณิชย์ของไทย
DOI: 10.14457/tu.the.2009.923
title: มาตรฐานความปลอดภัยและสุขภาพอนามัยในงานเกษตรกรรมตามอนุสัญญาฉบับที่ 184 ขององค์การแรงงานระหว่างประเทศ
DOI: 10.14457/tu.the.2009.924
title: การประกันสังคมกรณีว่างงาน
DOI: 10.14457/tu.the.2008.746
title: หนังสือภาพ : โครงสร้างการเล่าเรื่องกับการสื่อสารความหมายสำหรับเด็ก
DOI: 10.14457/tu.the.2008.747
title: การเปิดรับเว็บไซต์และความคิดเห็นต่อสิทธิเด็กที่ปรากฎในเว็บไซต์ของสมาชิกเว็บไซต์ www.tkpark.or.th
DOI: 10.14457/tu.the.2009.925
title: การทดสอบความตรงของข้อมูลจากผู้ให้ข้อมูลสำคัญ :
DOI: 10.5281/zenodo.3890493
title: Wikidata Dump P241

description: RDF dump of wikidata produced with wdumps. P241 army branch<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.5281/zenodo.3890492
title: Wikidata Dump P241

description: RDF dump of wikidata produced with wdumps. P241 army branch<br> View on wdumper <b>entity count</b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0
DOI: 10.25592/uhhfdm.759
title: Keiltafel Gießen - KUG2

description: Clay Tablet KUG2 from the University of Gießen
DOI: 10.5281/zenodo.3891037
title: Dynamic Compressive Strength and Fragmentation in Crystalline Rocks

description: Complete data for "Dynamic Compressive Strength and Fragmentation in Crystalline Rocks" by Rae et al.
DOI: 10.5281/zenodo.3860069
title: Data for "Plasmon excitations in chemically heterogeneous nanoarrays"

description: The data includes atomic structures, photoabsorption spectra, and noninteracting spectra of the systems modeled in the article "Plasmon excitations in chemically heterogeneous nanoarrays" by Kevin Conley <em>et al</em>. See <em>README.md</em> in the archive for a detailed description.
DOI: 10.5281/zenodo.3860068
title: Data for "Plasmon excitations in chemically heterogeneous nanoarrays"

description: The data includes atomic structures, photoabsorption spectra, and noninteracting spectra of the systems modeled in the article "Plasmon excitations in chemically heterogeneous nanoarrays" by Kevin Conley <em>et al</em>. See <em>README.md</em> in the archive for a detailed description.
DOI: 10.15161/oar.it/30422
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.3891069
title: Molecular reorganization during formation of the human skin barrier studied in situ - Dataset

description: Dataset for the paper "Molecular reorganization during formation of the human skin barrier studied in situ"
DOI: 10.5281/zenodo.3891068
title: Molecular reorganization during formation of the human skin barrier studied in situ - Dataset

description: Dataset for the paper "Molecular reorganization during formation of the human skin barrier studied in situ"
DOI: 10.5281/zenodo.3778112
title: Mutated EN2(143-259) simulation with Amber ff03ws

description: MD simulation of a mutated protein EN2(143-259) with Amber ff03ws and 40 mM NaCl as the solvent. The mutated sequence differs from the original sequence by amino acids serine (148, 150, 153, 154, 155, 156) and aspartic acid (152,154) changed to threonine and glutamate respectively. The trajectory files contain the total 1080 ns simulation. The trajectory file without solvent has saving frequency 10 ps. The trajectory files with solvent have a saving frequency 100ps. Force field parameters for proteins and counter ions are downloaded from https://github.com/bestlab/force_fields, for NaCl from https://bitbucket.org/hseara/ions
DOI: 10.5281/zenodo.3778111
title: Mutated EN2(143-259) simulation with Amber ff03ws

description: MD simulation of a mutated protein EN2(143-259) with Amber ff03ws and 40 mM NaCl as the solvent. The mutated sequence differs from the original sequence by amino acids serine (148, 150, 153, 154, 155, 156) and aspartic acid (152,154) changed to threonine and glutamate respectively. The trajectory files contain the total 1080 ns simulation. The trajectory file without solvent has saving frequency 10 ps. The trajectory files with solvent have a saving frequency 100ps. Force field parameters for proteins and counter ions are downloaded from https://github.com/bestlab/force_fields, for NaCl from https://bitbucket.org/hseara/ions
DOI: 10.5281/zenodo.3778216
title: EN2(143-259) simulation with Amber ff03ws

description: MD simulation of a protein EN2(143-259) with Amber ff03ws forcefield. Force field parameters for proteins and counterions are dowloaded from https://github.com/bestlab/force_fields, for NaCl from https://bitbucket.org/hseara/ions The trajectory files with solvent have a saving frequency 100 ps. The trajectory file EN2_1000ns_protein.xtc has a saving frequency 10 ps.
DOI: 10.5281/zenodo.3778215
title: EN2(143-259) simulation with Amber ff03ws

description: MD simulation of a protein EN2(143-259) with Amber ff03ws forcefield. Force field parameters for proteins and counterions are dowloaded from https://github.com/bestlab/force_fields, for NaCl from https://bitbucket.org/hseara/ions The trajectory files with solvent have a saving frequency 100 ps. The trajectory file EN2_1000ns_protein.xtc has a saving frequency 10 ps.
DOI: 10.5258/soton/d1315
title: Data to support Observation of Intravalley Phonon Scattering of 2s Excitons in MoSe2 and WSe2 Monolayers

description: This dataset contains photoluminescence, reflectivity and resonance Raman spectroscopy data obtained on hBN encapsulated monolayers of MoSe2 and WSe2 at 4 K. This data underpins the paper entitled "Observation of Intravalley Phonon Scattering of 2s Excitons in MoSe2 and WSe2 Monolayers " in 2D Materials. For full details of the results and experimental conditions pleaser refer to the paper and associated supplementary information. The preprint of the paper analysing this data is availiable at https://arxiv.org/abs/2006.05912.
DOI: 10.5258/soton/d1414
title: Experimental Data for Research: Selective fish passage: restoring habitat connectivity without facilitating the spread of a non-native species

description: This dataset supports the publication: Kerr, J.R. et al (2020). Selective fish passage: Restoring habitat connectivity without facilitating the spread of a non-native species. Journal of Environmental Management Passage and PIT data from the experimental trials.
DOI: 10.5258/soton/d1148
title: Data for Mechanism of Triterpenoid Saponin Mediated Augmentation of Saporin Based Immunotoxin Cytotoxicity

description: Dataset for the thesis: Mechanism of Triterpenoid Saponin Mediated Augmentation of Saporin Based Immunotoxin Cytotoxicity
DOI: 10.5281/zenodo.3854458
title: Experimental Data for "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way" at SIGIR2020

description: This deposit contains data used for the experiments reported in the paper "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way", most notably the ElasticSearch 5.4 indices used for the reported experiments. To load the indices into an ElasticSearch cluster of your own, use the restore function described in the ElasticSearch documentation. The names of the index snapshots contained here are ct1718 for the indexed ClinicalTrials data used in the TREC-PM challenges in 2017 and 2018. ct19 for the indexed ClinicalTrials data used in the TREC-PM challenge in 2019. ba1718 for the indexed PubMed data used in the TREC-PM challenges in 2017 and 2018. ba19 for the indexed PubMed data used in the TREC-PM challenge in 2019. The other file contains the original output that SMAC wrote to disc during the parameter optimization process. There are directories for the biomedical abstracts (BA) and clinical trials (ct) and for each respective 10 fold cross validation split. Those file contain the exact parameter configurations and their evalation score (the infNDCG metric was used) in live-runXX.json files. The code to these files is located in this Zenodo deposit.
description: This work was supported by the BMBF within the SMITH project under grant 01ZZ1803G.
DOI: 10.5281/zenodo.3854457
title: Experimental Data for "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way" at SIGIR2020

description: This deposit contains data used for the experiments reported in the paper "What Makes a Top-Performing Precision Medicine Search Engine? Tracing Main System Features in a Systematic Way", most notably the ElasticSearch 5.4 indices used for the reported experiments. To load the indices into an ElasticSearch cluster of your own, use the restore function described in the ElasticSearch documentation. The names of the index snapshots contained here are ct1718 for the indexed ClinicalTrials data used in the TREC-PM challenges in 2017 and 2018. ct19 for the indexed ClinicalTrials data used in the TREC-PM challenge in 2019. ba1718 for the indexed PubMed data used in the TREC-PM challenges in 2017 and 2018. ba19 for the indexed PubMed data used in the TREC-PM challenge in 2019. The other file contains the original output that SMAC wrote to disc during the parameter optimization process. There are directories for the biomedical abstracts (BA) and clinical trials (ct) and for each respective 10 fold cross validation split. Those file contain the exact parameter configurations and their evalation score (the infNDCG metric was used) in live-runXX.json files. The code to these files is located in this Zenodo deposit.
description: This work was supported by the BMBF within the SMITH project under grant 01ZZ1803G.
DOI: 10.5281/zenodo.3698568
title: ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus

description: The Pro(tein)/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn. The goals of the annotation project were to construct a consistent and (as far as possible) subdomain-independent/-comprehensive protein-annotated corpus to differentiate between protein families and groups, protein complexes, protein molecules, protein variants (e.g. alleles) and elliptic enumerations of proteins. The corpus has the following annotation levels / entity types: protein protein_familiy_or_group protein_complex protein_variant protein_enum For definitions of the annotation levels, please refer to the Proteins-guidelines-final.doc file that is found in the download package. To achieve a large coverage of biological subdomains, document from multiple other protein / gene corpora were reannotated. For further coverage, new document sets were created. All documents are abstracts from PubMed/MEDLINE. The corpus is made up of the union of all the documents in the different subcorpora.<br> All document are delivered as MMAX2 (http://mmax2.net/) annotation projects.
description: {"references": ["Faessler et al. (2020). PROGENE\u2014A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus, LREC 2020"]}
DOI: 10.5281/zenodo.3698567
title: ProGene - A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus

description: The Pro(tein)/Gene corpus was developed at the JULIE Lab Jena under supervision of Prof. Udo Hahn. The goals of the annotation project were to construct a consistent and (as far as possible) subdomain-independent/-comprehensive protein-annotated corpus to differentiate between protein families and groups, protein complexes, protein molecules, protein variants (e.g. alleles) and elliptic enumerations of proteins. The corpus has the following annotation levels / entity types: protein protein_familiy_or_group protein_complex protein_variant protein_enum For definitions of the annotation levels, please refer to the Proteins-guidelines-final.doc file that is found in the download package. To achieve a large coverage of biological subdomains, document from multiple other protein / gene corpora were reannotated. For further coverage, new document sets were created. All documents are abstracts from PubMed/MEDLINE. The corpus is made up of the union of all the documents in the different subcorpora.<br> All document are delivered as MMAX2 (http://mmax2.net/) annotation projects.
description: {"references": ["Faessler et al. (2020). PROGENE\u2014A Large-scale, High-Quality Protein-Gene Annotated Benchmark Corpus, LREC 2020"]}
DOI: 10.25959/5ee36afdded63
title: GRL_shallow_melting
DOI: 10.21227/3bfw-gk31
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.21227/04ce-yk28
title: Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms

description: Synthetic Aperture Radar (SAR) images can be extensively informative owing to their resolution and availability. However, the removal of speckle-noise from these requires several pre-processing steps. In recent years, deep learning-based techniques have brought significant improvement in the domain of denoising and image restoration. However, further research has been hampered by the lack of availability of data suitable for training deep neural network-based systems. With this paper, we propose a standard synthetic data set for the training of speckle reduction algorithms. The design of image processing techniques for synthetic aperture radar applications requires testing and validation on real and synthetic images. The Virtual SAR dataset provides synthetic data to support the design and analysis of algorithms to deal with SAR data.
DOI: 10.5281/zenodo.3891465
title: Gemini 3D test data

description: Gemini 3D simulation reference data https://www.github.com/gemini3d/gemini v3.1.0 compressed HDF5
DOI: 10.5281/zenodo.3891470
title: GEMINI3D: 2-D test data

description: Files used for self-verification of GEMINI program. https://github.com/gemini3d/gemini v3.1.0 smaller sim grid
DOI: 10.5281/zenodo.3891441
title: Multi-partner benchmark experiment of fatigue crack growth measurements from GDR 3651 FATACRACK

description: The dataset presents a synthesis of an experimental benchmark performed in the context of the French national research network GDR FATACRACK . A sample has been designed to produce mixed-mode crack propagation and variation of small scale yielding conditions. Two geometries and two maximum load levels are defined for the two tested materials: a stainless steel and an aluminum alloy. Around ten participants performed experiments using their usual instrumentation. Among the eight possible parameter sets, three are selected for which detailed results are presented. A satisfying overall agreement is obtained. But, some discrepancies are evidenced due either to limitations of the instrumentation or simply because from one lab to the other the applied load is not exactly the same. The results obtained by all the participants as well as the description of their testing setups and measurement tools are collected in this dataset. It includes crack path, stress intensity factor range and crack growth rate measurement for the selected configurations.
DOI: 10.5281/zenodo.3820152
title: Multi-partner benchmark experiment of fatigue crack growth measurements from GDR 3651 FATACRACK

description: The dataset presents a synthesis of an experimental benchmark performed in the context of the French national research network GDR FATACRACK . A sample has been designed to produce mixed-mode crack propagation and variation of small scale yielding conditions. Two geometries and two maximum load levels are defined for the two tested materials: a stainless steel and an aluminum alloy. Around ten participants performed experiments using their usual instrumentation. Among the eight possible parameter sets, three are selected for which detailed results are presented. A satisfying overall agreement is obtained. But, some discrepancies are evidenced due either to limitations of the instrumentation or simply because from one lab to the other the applied load is not exactly the same. The results obtained by all the participants as well as the description of their testing setups and measurement tools are collected in this dataset. It includes crack path, stress intensity factor range and crack growth rate measurement for the selected configurations.
DOI: 10.5281/zenodo.3891450
title: A Multi-Site Investigation into the Epidemiology of Chikungunya Virus in Neglected Regions of Indonesia

description: Supporting datasets for phylogenetic analysis of Indonesian chikungunya virus sequences using BEAST v1.10.4.
DOI: 10.5281/zenodo.3891449
title: A Multi-Site Investigation into the Epidemiology of Chikungunya Virus in Neglected Regions of Indonesia

description: Supporting datasets for phylogenetic analysis of Indonesian chikungunya virus sequences using BEAST v1.10.4.
DOI: 10.5281/zenodo.3885865
title: Predicting human health from biofluid-based metabolomics using machine learning

description: Processed input data sets as well as output files and trained health state predictive models for human diseases using metabolomics of biofluids. These data are associated with the following manuscript: 'Predicting human health from biofluid-based metabolomics using machine learning' https://doi.org/10.1101/2020.01.29.20019471
DOI: 10.5281/zenodo.3885864
title: Predicting human health from biofluid-based metabolomics using machine learning

description: Processed input data sets as well as output files and trained health state predictive models for human diseases using metabolomics of biofluids. These data are associated with the following manuscript: 'Predicting human health from biofluid-based metabolomics using machine learning' https://doi.org/10.1101/2020.01.29.20019471
DOI: 10.5281/zenodo.3891510
title: DERT Lusi

description: Dataset processed in the framework fo the paper Lupi et al. subimtted
DOI: 10.5281/zenodo.3891509
title: DERT Lusi

description: Dataset processed in the framework fo the paper Lupi et al. subimtted
DOI: 10.5281/zenodo.3891516
title: Whistler-mode waves excited by anisotropic hot electrons with a drift velocity in Earth's magnetosphere: Linear theory

description: The data used to generate the figures in this paper.
DOI: 10.5281/zenodo.3891515
title: Whistler-mode waves excited by anisotropic hot electrons with a drift velocity in Earth's magnetosphere: Linear theory

description: The data used to generate the figures in this paper.
DOI: 10.5281/zenodo.3891475
title: A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018

description: In this project, "A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003–2018", we built a model to predict the mean, maximum, and minimum temperature on each day at each square in a 1-km grid for an area around Mexico City. See the README at https://github.com/justlab/Mexico_temperature/blob/master/README.rst for more information and instructions.
DOI: 10.12763/i5ed78/tshx9z
title: fails.tab

description: :unav
DOI: 10.12763/i5ed78/6zbh0k
title: events.out.tfevents.1678573543.marquerpc.loria.fr

description: :unav
DOI: 10.12763/i5ed78/vi38sz
title: hparams.yaml

description: :unav
DOI: 10.12763/i5ed78/edubi1
title: ret-2019-portuguese-b512-epoch=49.ckpt

description: :unav
DOI: 10.12763/i5ed78/jfvuhe
title: events.out.tfevents.1678558601.marquerpc.loria.fr

description: :unav
DOI: 10.12763/i5ed78/azofbd
title: summary.tab

description: :unav
DOI: 10.12763/i5ed78/respb8
title: events.out.tfevents.1678591046.marquerpc.loria.fr

description: :unav