cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14963730
title: Epoch data

description: The epoch data are a fieldtrip format structure, all epochs are aligned with fixation onset to a given word, with the length of one second.Epochs were named as the combination of acquizaton date, subject code, and data type. Epochs that ended with 'Targ60' are from the first sentence set; ended with 'JEP60' are from the second sentence set (adapted from Degno et al. 2019, Journal of Experimental Psychology); ended with 'BL' were the baseline period of the first sentence set.<br>This filed 'trialinfo' is the information about each trial, the header of all columns are as followings:1- sentence_id: sentence number for this epoch2- word_loc: the location of the current word in a sentence3- loc2targ:location distance between the current word and target word; loc2targ for pre-target, target, post-target are -1, 0, and 14- word_freq: CELEX frequency 5- word_length6- saccade2this_duration: saccade duration toward this word7- fixation_on_MEG: MEG trigger for fixation onset to this word8- fixation_duration 9- NextOrder: next word location minus the current word location; negative value indicates saccade backward to the previous words10- FirstPassFix: whether this fixation is the first for this word or not11- PreviousOrder: previous word location minus the current word location; negative value indicates saccade forward to the next words12- SentenceCondition: the current word is in a sentence with high or low frequency target word; 1 -- low, 2 -- high13- PupilSize: averaged pupil size during this fixation<br>
DOI: 10.34740/kaggle/dsv/2424698
title: 2021 World Population (updated daily)
DOI: 10.5281/zenodo.5094659
title: Base de datos de propiedades edafológicas de los suelos españoles

description: <strong>RESUMEN</strong> El origen de la Base de datos de perfiles de suelos se enmarca en los estudios realizados en el CENTRO DE INVESTIGACIONES ENERGÉTICAS, MEDIOAMBIENTALES Y TECNOLÓGICAS (CIEMAT), sobre la vulnerabilidad radiológica de los suelos españoles a un depósito de Cs-137 y Sr-90 (Trueba, et al., 2000a). Para ello fue necesario conocer y caracterizar adecuadamente los diferentes tipos de suelos existentes en la España peninsular. Esta tarea se logró mediante una amplia recopilación de perfiles de suelo de diferentes fuentes bibliográficas. El objetivo principal era tener perfiles representativos de los diferentes tipos de suelo que, para la España peninsular, se recogían en el Mapa de Suelos de la Comunidad Europea (CE) a escala 1: 1000000 (CEC, 1985), utilizado como mapa base. La recopilación de la información se hizo a nivel provincial, recopilando perfiles para las 47 provincias peninsulares. Tras el análisis de la información recopilada y la armonización de los datos, se creó una Base de Datos con 2176 perfiles de suelo (Trueba, et al., 2000b). <strong>ABSTRACT</strong> The origin of the soil profile Database is framed in the studies performed at the CENTRO DE INVESTIGACIONES ENERGÉTICAS, MEDIOAMBIENTALES Y TECNOLÓGICAS (CIEMAT), on the radiological vulnerability of Spanish soils to a Cs-137 and Sr-90 deposition (Trueba, et al., 2000a). For this purpose, the knowledge of the different existing soil types in peninsular Spain and their adequate characterisation was needed. This task was achieved by means of a broad compilation of soil profiles from different bibliographic sources. The main aim was to gather profiles representative of the soil types depicted for peninsular Spain in the European Communities (EC) Soil Map at 1:1000000 scale (CEC, 1985), used as base map. The soil profile compilation was made on the province level, gathering information for the 47 peninsular provinces. After the analysis of the information gathered and data harmonisation, a Database with 2176 soil profiles was created (Trueba, et al., 2000b).
DOI: 10.5281/zenodo.5094658
title: Base de datos de propiedades edafológicas de los suelos españoles

description: <strong>RESUMEN</strong> El origen de la Base de datos de perfiles de suelos se enmarca en los estudios realizados en el CENTRO DE INVESTIGACIONES ENERGÉTICAS, MEDIOAMBIENTALES Y TECNOLÓGICAS (CIEMAT), sobre la vulnerabilidad radiológica de los suelos españoles a un depósito de Cs-137 y Sr-90 (Trueba, et al., 2000a). Para ello fue necesario conocer y caracterizar adecuadamente los diferentes tipos de suelos existentes en la España peninsular. Esta tarea se logró mediante una amplia recopilación de perfiles de suelo de diferentes fuentes bibliográficas. El objetivo principal era tener perfiles representativos de los diferentes tipos de suelo que, para la España peninsular, se recogían en el Mapa de Suelos de la Comunidad Europea (CE) a escala 1: 1000000 (CEC, 1985), utilizado como mapa base. La recopilación de la información se hizo a nivel provincial, recopilando perfiles para las 47 provincias peninsulares. Tras el análisis de la información recopilada y la armonización de los datos, se creó una Base de Datos con 2176 perfiles de suelo (Trueba, et al., 2000b). <strong>ABSTRACT</strong> The origin of the soil profile Database is framed in the studies performed at the CENTRO DE INVESTIGACIONES ENERGÉTICAS, MEDIOAMBIENTALES Y TECNOLÓGICAS (CIEMAT), on the radiological vulnerability of Spanish soils to a Cs-137 and Sr-90 deposition (Trueba, et al., 2000a). For this purpose, the knowledge of the different existing soil types in peninsular Spain and their adequate characterisation was needed. This task was achieved by means of a broad compilation of soil profiles from different bibliographic sources. The main aim was to gather profiles representative of the soil types depicted for peninsular Spain in the European Communities (EC) Soil Map at 1:1000000 scale (CEC, 1985), used as base map. The soil profile compilation was made on the province level, gathering information for the 47 peninsular provinces. After the analysis of the information gathered and data harmonisation, a Database with 2176 soil profiles was created (Trueba, et al., 2000b).
DOI: 10.6084/m9.figshare.14980380
title: Supplementary Material for: A High-Throughput Mechanical Activator for Cartilage Engineering Enables Rapid Screening of in vitro Response of Tissue Models to Physiological and Supra-Physiological Loads

description: Articular cartilage is crucially influenced by loading during development, health, and disease. However, our knowledge of the mechanical conditions that promote engineered cartilage maturation or tissue repair is still incomplete. Current in vitro models that allow precise control of the local mechanical environment have been dramatically limited by very low throughput, usually just a few specimens per experiment. To overcome this constraint, we have developed a new device for the high throughput compressive loading of tissue constructs: the High Throughput Mechanical Activator for Cartilage Engineering (HiT-MACE), which allows the mechanoactivation of 6 times more samples than current technologies. With HiT-MACE we were able to apply cyclic loads in the physiological (e.g., equivalent to walking and normal daily activity) and supra-physiological range (e.g., injurious impacts or extensive overloading) to up to 24 samples in one single run. In this report, we compared the early response of cartilage to physiological and supra-physiological mechanical loading to the response to IL-1β exposure, a common but rudimentary in vitro model of cartilage osteoarthritis. Physiological loading rapidly upregulated gene expression of anabolic markers along the TGF-β1 pathway. Notably, TGF-β1 or serum was not included in the medium. Supra-physiological loading caused a mild catabolic response while IL-1β exposure drove a rapid anabolic shift. This aligns well with recent findings suggesting that overloading is a more realistic and biomimetic model of cartilage degeneration. Taken together, these findings showed that the application of HiT-MACE allowed the use of larger number of samples to generate higher volume of data to effectively explore cartilage mechanobiology, which will enable the design of more effective repair and rehabilitation strategies for degenerative cartilage pathologies.
DOI: 10.6084/m9.figshare.14980383
title: Supplementary Material for: Performance of Prediction Models for Contrast-Induced Acute Kidney Injury after Transcutaneous Aortic Valve Replacement

description: <b><i>Background:</i></b> Acute kidney injury (AKI) has shown to adversely affect outcomes in patients undergoing transcutaneous aortic valve replacement (TAVR), and its correct risk estimation may interfere in procedural planning and strategies. The aim of the study was to test and compare 6 scores in predicting AKI after TAVR. <b><i>Methods:</i></b> We tested 6 scores (the contrast material limit score, volume-to-creatinine clearance ratio, ACEF, CR4EATME3AD3, Mehran model A, and Mehran model B) in a total of 559 consecutive patients included in the Brazilian TAVR registry. <b><i>Results:</i></b> All scores had a poor accuracy and calibration to predict the occurrence of AKI grade 1 or 2. All scores improved the accuracy of AKI risk prediction when stratified for AKI grade 2/3 and AKI grade 3 for all scores. The CR4EATME3AD3 was the best predictor of AKI stage 2/3 (AUC: 0.62; OR: 1.12; 95% CI 1.01–1.26; <i>p</i> = 0.04) and AKI stage 3 (AUC: 0.64; OR: 1.16; 95% CI 1.02–1.32; <i>p</i> = 0.02). Mehran models A and B were both good models for AKI stage 3 (AUC: 0.63; OR: 1.10; 95% CI 1.01–1.22; <i>p</i> = 0.05; and AUC: 0.62; OR: 1.10; 95% CI 1.00–1.21; <i>p</i> = 0.05, respectively). <b><i>Conclusions:</i></b> None of the current models demonstrated validity in detecting AKI when its lower grades were evaluated. CR4EATME3AD3 was the best score in predicting moderate to severe AKI after TAVR. These findings suggest that contrast-induced AKI may not be the only factor related to kidney injury after TAVR.
DOI: 10.5517/ccdc.csd.cc26vvdb
title: CCDC 2051592: Experimental Crystal Structure Determination

description: Related Article: Kyoichi Hanada, Juntaro Nogami, Kazunori Miyamoto, Norihiko Hayase, Yuki Nagashima, Yusuke Tanaka, Atsuya Muranaka, Masanobu Uchiyama, Ken Tanaka|2021|Chem.-Eur.J.|27|9313|doi:10.1002/chem.202005479
DOI: 10.5517/ccdc.csd.cc26vvfc
title: CCDC 2051593: Experimental Crystal Structure Determination

description: Related Article: Kyoichi Hanada, Juntaro Nogami, Kazunori Miyamoto, Norihiko Hayase, Yuki Nagashima, Yusuke Tanaka, Atsuya Muranaka, Masanobu Uchiyama, Ken Tanaka|2021|Chem.-Eur.J.|27|9313|doi:10.1002/chem.202005479
DOI: 10.5517/ccdc.csd.cc26vw32
title: CCDC 2051614: Experimental Crystal Structure Determination

description: Related Article: Kyoichi Hanada, Juntaro Nogami, Kazunori Miyamoto, Norihiko Hayase, Yuki Nagashima, Yusuke Tanaka, Atsuya Muranaka, Masanobu Uchiyama, Ken Tanaka|2021|Chem.-Eur.J.|27|9313|doi:10.1002/chem.202005479
DOI: 10.5517/ccdc.csd.cc26wtwt
title: CCDC 2052537: Experimental Crystal Structure Determination

description: Related Article: Marta Redrado, Andrea Benedi, Isabel Marzo, Angel L. García-Otín, Vanesa Fernández-Moreira, M. Concepción Gimeno|2021|Chem.-Eur.J.|27|9885|doi:10.1002/chem.202100707
DOI: 10.5517/ccdc.csd.cc26xnsl
title: CCDC 2053340: Experimental Crystal Structure Determination

description: Related Article: Wei Su, Yanshun Ma, Libo Xiang, Junyi Wang, Shuao Wang, Lili Zhao, Gernot Frenking, Qing Ye|2021|Chem.-Eur.J.|27|10006|doi:10.1002/chem.202100699
DOI: 10.5517/ccdc.csd.cc26xntm
title: CCDC 2053341: Experimental Crystal Structure Determination

description: Related Article: Wei Su, Yanshun Ma, Libo Xiang, Junyi Wang, Shuao Wang, Lili Zhao, Gernot Frenking, Qing Ye|2021|Chem.-Eur.J.|27|10006|doi:10.1002/chem.202100699
DOI: 10.5517/ccdc.csd.cc26y2hr
title: CCDC 2053734: Experimental Crystal Structure Determination

description: Related Article: Lan Deng, Xin Dong, Zhao-Hui Zhou|2021|Chem.-Eur.J.|27|9643|doi:10.1002/chem.202100745
DOI: 10.5517/ccdc.csd.cc26y2js
title: CCDC 2053735: Experimental Crystal Structure Determination

description: Related Article: Lan Deng, Xin Dong, Zhao-Hui Zhou|2021|Chem.-Eur.J.|27|9643|doi:10.1002/chem.202100745
DOI: 10.5517/ccdc.csd.cc26y2kt
title: CCDC 2053736: Experimental Crystal Structure Determination

description: Related Article: Lan Deng, Xin Dong, Zhao-Hui Zhou|2021|Chem.-Eur.J.|27|9643|doi:10.1002/chem.202100745
DOI: 10.5517/ccdc.csd.cc26y2lv
title: CCDC 2053737: Experimental Crystal Structure Determination

description: Related Article: Lan Deng, Xin Dong, Zhao-Hui Zhou|2021|Chem.-Eur.J.|27|9643|doi:10.1002/chem.202100745
DOI: 10.5517/ccdc.csd.cc26y4bn
title: CCDC 2053791: Experimental Crystal Structure Determination

description: Related Article: Marina Huber-Gedert, Michał Nowakowski, Ahmet Kertmen, Lukas Burkhardt, Natalia Lindner, Roland Schoch, Regine Herbst-Irmer, Adam Neuba, Lennart Schmitz, Tae-Kyu Choi, Jacek Kubicki, Wojciech Gawelda, Matthias Bauer|2021|Chem.-Eur.J.|27|9905|doi:10.1002/chem.202100766
DOI: 10.5517/ccdc.csd.cc26y4cp
title: CCDC 2053792: Experimental Crystal Structure Determination

description: Related Article: Marina Huber-Gedert, Michał Nowakowski, Ahmet Kertmen, Lukas Burkhardt, Natalia Lindner, Roland Schoch, Regine Herbst-Irmer, Adam Neuba, Lennart Schmitz, Tae-Kyu Choi, Jacek Kubicki, Wojciech Gawelda, Matthias Bauer|2021|Chem.-Eur.J.|27|9905|doi:10.1002/chem.202100766
DOI: 10.5517/ccdc.csd.cc26yyz3
title: CCDC 2054586: Experimental Crystal Structure Determination

description: Related Article: Zi-Xin You, Chen Wang, Yao Xiao, Qing-Lin Guan, Jin-Xiao Li, Yong-Heng Xing, Hong-Wei Gao, Li-Xian Sun, Feng-Ying Bai|2021|Chem.-Eur.J.|27|9605|doi:10.1002/chem.202100588
DOI: 10.25934/00005695.1
title: Available IPD datapackage for study 'A Randomized, Phase 3, Controlled, Double-Blind, Parallel-Group, Multicenter Study to Evaluate the Safety and Efficacy of Rituximab in Combination With Methotrexate (MTX) Compared to MTX Alone, in Methotrexate-Naive Patients With Active Rheumatoid Arthritis'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5517/ccdc.csd.cc26yz05
title: CCDC 2054587: Experimental Crystal Structure Determination

description: Related Article: Zi-Xin You, Chen Wang, Yao Xiao, Qing-Lin Guan, Jin-Xiao Li, Yong-Heng Xing, Hong-Wei Gao, Li-Xian Sun, Feng-Ying Bai|2021|Chem.-Eur.J.|27|9605|doi:10.1002/chem.202100588
DOI: 10.25934/00005695.2
title: IPD datapackage for study 'A Randomized, Phase 3, Controlled, Double-Blind, Parallel-Group, Multicenter Study to Evaluate the Safety and Efficacy of Rituximab in Combination With Methotrexate (MTX) Compared to MTX Alone, in Methotrexate-Naive Patients With Active Rheumatoid Arthritis' and research request: 'A novel statistical approach to detect the efficacy of drugs that have heterogeneous treatment effects'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.5281/zenodo.5059881
title: xPore: Detection of differential RNA modifications from direct RNA sequencing of human cell lines

description: xPore is a Python package for identification and quantification of differential RNA modifications from direct RNA sequencing. The detailed usage is documented at https://xpore.readthedocs.io/en/latest, while all scripts and source code are available at https://github.com/GoekeLab/xpore. All the preprocessed datasets used in the paper are provided here. Please cite our paper below when using these data.<br> Ploy N. Pratanwanich et al. "Detection of differential RNA modifications from direct RNA sequencing of human cell lines." bioRxiv (2020).
description: {"references": ["Ploy N. Pratanwanich et al. \"Detection of differential RNA modifications from direct RNA sequencing of human cell lines.\" bioRxiv (2020)."]}
DOI: 10.34740/kaggle/dsv/2424728
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.15468/d8dymu
title: Revision of the African horntail genus Afrotremex (Hymenoptera: Siricidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Goulet, Henri (2014): Revision of the African horntail genus Afrotremex (Hymenoptera: Siricidae). Zootaxa 3795 (3): 201-254, DOI: http://dx.doi.org/10.11646/zootaxa.3795.3.1
DOI: 10.5281/zenodo.5094759
title: Georeferenced Spanish Soil Profile Database (SODES)

description: The Georeferenced Spanish Soil Profile Database (SODES) contains soil information and data values for 1683 georereferenced soil profiles, compiled from an extensive bibliographic review. SODES allows the characterisation of the different peninsular Spanish soil types and is a suitable tool for assessments and decision making purposes dealing with different issues.
DOI: 10.5281/zenodo.5094758
title: Georeferenced Spanish Soil Profile Database (SODES)

description: The Georeferenced Spanish Soil Profile Database (SODES) contains soil information and data values for 1683 georereferenced soil profiles, compiled from an extensive bibliographic review. SODES allows the characterisation of the different peninsular Spanish soil types and is a suitable tool for assessments and decision making purposes dealing with different issues.
DOI: 10.6084/m9.figshare.14980395
title: Supplementary Material for: Prognostic Impact and Clinicopathological Features of Multiple Colorectal Cancers and Extracolorectal Malignancies: A Nationwide Retrospective Study

description: <b><i>Introduction:</i></b> Multiple primary malignancies (MPMs) are likely to develop in patients with colorectal cancer (CRC); however, their prognoses are unclear. This study aims to investigate the prognostic impacts and clinicopathological features of multiple CRCs and extracolorectal malignancies (EMs) with CRC. <b><i>Methods:</i></b> We retrospectively evaluated a total of 22,628 patients with stage I–III CRC who underwent curative resection at 24 referral institutes in Japan between January 2004 and December 2012. MPMs were classified as synchronous CRCs (SCRCs), metachronous CRCs, synchronous EMs (SEMs), and metachronous EMs. <b><i>Results:</i></b> The presence of SCRCs (odds ratio 1.54, <i>p</i> &lt; 0.001) was independently associated with SEMs in the multivariate analyses. SEMs were the strongest poor prognostic factor for OS (hazard ratio [HR] 2.21, <i>p</i> &lt; 0.001) and RFS (HR 1.69, <i>p</i> &lt; 0.001) compared with age, sex, and primary T and N factors. The incidence of stomach cancer was the highest in EMs, followed by lung, breast, and prostate cancers. Multiple CRCs were evenly distributed throughout the right-side colon to the rectum. <b><i>Discussion/Conclusion:</i></b> SEMs were a strong poor prognostic factor for patients with stage I–III CRC. Patients with CRC, particularly those with SCRCs, should be surveyed for SEMs, especially for stomach and lung cancers.
DOI: 10.5281/zenodo.4533292
title: Exploring annotations for musical pattern discovery gathered with digital annotation tools

description: This repository contains the analysis of musical patterns gathered with the PAF and the ANOMIC annotation tools, as well as patterns discovered with various SIA-based pattern discovery algorithms. The analysis is split into two sections, the inter-annotator agreement analysis and the feature-based analysis. The inter-agreement analysis is based on the below agreement matrices between annotators of all datasets. Meanwhile the feature-based analysis results consist of t-test and KS-test results between the feature distributions of the aforementioned datasets, and boxplot visualisations of these distributions.
DOI: 10.5281/zenodo.4533287
title: Exploring annotations for musical pattern discovery gathered with digital annotation tools

description: This repository contains the analysis of musical patterns gathered with the PAF and the ANOMIC annotation tools, as well as patterns discovered with various SIA-based pattern discovery algorithms. The analysis is split into two sections, the inter-annotator agreement analysis and the feature-based analysis. The inter-agreement analysis is based on the below agreement matrices between annotators of all datasets. Meanwhile the feature-based analysis results consist of t-test and KS-test results between the feature distributions of the aforementioned datasets, and boxplot visualisations of these distributions.
DOI: 10.5678/lcrs/dat.433
title: Predicted density and depth of holes created by burrowing animals across 8 hillsides along Chilean climate gradient
title: Predicted hole density and depth

description: Burrowing animals are important ecosystem engineers affecting soil properties, the redis-tribution of nutrients and soil carbon sequestration through their burrowing activity. The magnitude of these effects depends on the spatial density and depth of the burrows, but a method to derive this type of spatial explicit data of is still missing. Here, we test the poten-tial of consumer-oriented UAV RGB imagery to determine density and depth of holes cre-ated by burrowing animals at four study sites along a climate gradient in Chile by com-bining UAV data with empirical field plot observations and machine learning. We used the trained models for area wide predictions of density and depth of holes created by burrowing animals across 8 hillsides along a climate gradient in Chile.<br>
description: Coordinates:<br> Pda north facing: <br> -70.61875999999<br> -25.97690569047 <br> PdA south-facing:<br> -70.61747800000<br> -25.98792750527<br> SG north-facing<br> -71.169226580458<br> -29.758944299143 <br> SG south-facing<br> -71.167225099000<br> -29.764107785292<br> LC north-facing<br> -71.09082499999<br> -32.94316192996<br> LC south-facing<br> -71.09315231476<br> -32.93436314092<br> NA<br> -73.01619835389<br> -37.80787731366<br> <br>
DOI: 10.18112/openneuro.ds003722.v1.0.0
title: Motor Imagery vs Rest - Low-Cost EEG system
DOI: 10.21227/zxk7-ca24
title: Dataset: Talk the talk and walk the walk: Dialogue-driven navigation in unknown indoor environments

description: Dataset asscociated with a paper in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems"Talk the talk and walk the walk: Dialogue-driven navigation in unknown indoor environments"If you use this code or data, please cite the above paper.
DOI: 10.5281/zenodo.5101825
title: Superior robustness of anomalous nonreciprocal topological edge states

description: Figure data, raw measured data, and codes for the paper "Superior robustness of anomalous nonreciprocal topological edge states", Nature 2021, by Z. Zhang et al.
DOI: 10.5281/zenodo.5101824
title: Superior robustness of anomalous nonreciprocal topological edge states

description: Figure data, raw measured data, and codes for the paper "Superior robustness of anomalous nonreciprocal topological edge states", Nature 2021, by Z. Zhang et al.