cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3865506
title: Thermo-Rheological model of Long Valley Caldera

description: 3D Thermo-Rheological models of Long Valley Caldera presented in Gola G., Barone A., Castaldo R., Chiodini G., D'Auria L., Garcia-Hernandez R., Pepe S., Solaro G. & Tizzani P. "A novel multidisciplinary approach for the thermo-rheological study of volcanic areas: The case study of Long Valley Caldera", which has been submitted for possible publication in Journal of Geophysical Research - Solid Earth. We evaluated the temperature distribution and the brittle-ductile values in a volume of 32×50×30 km<sup>3</sup>, along East, North and depth directions, respectively. The optimized solution of the conductive-convective model is evaluated with a reservoir permeability of 5.0·10<sup>−14</sup> m<sup>2</sup>, a fault-zone permeability of 5.0·10<sup>−14</sup> m<sup>2</sup> and a temperature of the magmatic intrusion beneath the caldera of 800°C. The simulated fluid velocity magnitude (mm/year) along x , y and z directions is given positive eastward, northward and upward, respectively. The purely-conductive temperature distribution used as initial condition of the conductive-convective simulation is also given. Finally, we computed the 3D Brittle-Ductile (BD) stratification by considering the optimized conductive-convective thermal model and using a pore fluid factor, a strain rate and a β value equal to 0.36, 1.2, 10<sup>–9</sup> s<sup>–1</sup>, respectively. Further details on the selected petrophysical parameters can be found in the Tables 2 and 3 of the manuscript. The values of the Thermal and Velocity models are gridded with a regular spacing of 0.25 km. The values of the BD model are gridded with a regular spacing of 0.5 km. Coordinates: North America NAD27 UTM Zone 11N Easting: 311000 - 360000 m.; Northing: 4155000 - 4187000 m.
DOI: 10.6084/m9.figshare.12970931
title: ERA-FIVE Surge Reconstruction

description: A daily maximum storm surge reconstruction for 841 tide gauge locations around the globe. The surge reconstruction is based on the ERA-FIVE atmospheric reanalysis product
DOI: 10.6084/m9.figshare.12970931.v1
title: ERA-FIVE Surge Reconstruction

description: A daily maximum storm surge reconstruction for 841 tide gauge locations around the globe. The surge reconstruction is based on the ERA-FIVE atmospheric reanalysis product
DOI: 10.6084/m9.figshare.12971054
title: ERA-20C Surge Reconstruction

description: A daily maximum storm surge reconstruction for 867tide gauge locations around the globe. The surge reconstruction is based on the ERA-20C atmospheric reanalysis product
DOI: 10.6084/m9.figshare.12971054.v2
title: ERA-20C Surge Reconstruction

description: A daily maximum storm surge reconstruction for 867tide gauge locations around the globe. The surge reconstruction is based on the ERA-20C atmospheric reanalysis product
DOI: 10.18434/m32177
title: A Toolbox for Isophase-Curvature Guided Computation of Metrology Holograms

description: An open-source numerical toolbox , written in the Octave language, for the creation of computer-generated binary and multi-level holograms used in interferometric form error measurements of complex aspheric and free-form precision surfaces and optical wavefronts. In a typical measurement setup for this type of surface, a hologram is used to generate a test wavefront that has the design shape of the surface, which is then compared to a fabricated part using an imaging laser interferometer.
DOI: 10.34740/kaggle/dsv/1577716
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4115991
title: Ultra high-temperature deformation in a single crystal superalloy: Meso-scale process simulation and micro-mechanisms

description: The downloadable results were the output HR-EBSD analysis for Samples 1, 2 & 3. The zip file includes data for GND density maps, stress tensor component maps, and rotation tensor component maps. Note, that all maps are given in the sample reference frame. The individual files are given in a '.mat' filetype which can be opening with Matlab. Further details of the experimental configuration are given in the manuscript for this work.
DOI: 10.5281/zenodo.4115990
title: Ultra high-temperature deformation in a single crystal superalloy: Meso-scale process simulation and micro-mechanisms

description: The downloadable results were the output HR-EBSD analysis for Samples 1, 2 & 3. The zip file includes data for GND density maps, stress tensor component maps, and rotation tensor component maps. Note, that all maps are given in the sample reference frame. The individual files are given in a '.mat' filetype which can be opening with Matlab. Further details of the experimental configuration are given in the manuscript for this work.
DOI: 10.21227/y0yn-h938
title: Model3.1

description: KNN weighted distance
DOI: 10.21227/5pkn-pd55
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.6084/m9.figshare.13123061
title: Point cloud and Traces

description: Here are available the five training and test data sets of the artificial neural network. The data sets contain the point cloud windows in .txt format and the trace file corresponding to each window, in .csv format.
DOI: 10.21227/dkq6-vg83
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.21227/g4xr-jn83
title: Emotional message-exchanges during 18 crisis events

description: This dataset is a set of eighteen directed networks that represents message exchanges among Twitter accounts during eighteen crisis events. The dataset comprises 645,339 anonymized unique user IDs and 1,396,709 edges that are labeled with respect to Plutchik's basic emotions (anger, fear, sadness, disgust, joy, trust, anticipation, and surprise) or "neutral" (if a tweet conveys no emotion).
DOI: 10.6084/m9.figshare.11591763
title: Human Oral Metapangenomes

description: Anvi'o databases for Rothia and Haemophilus parainfluenzae metapangenomes (cultivar genomes + HMP metagenomes)
DOI: 10.17632/8rnmmvtrff.1
title: Early field planning using optimisation and considering uncertainties - Model

description: This is the model employed in the paper "Early field planning using optimisation and considering uncertainties", by Leonardo Sales, Assoc. Prof. Johannes Jäschke and Assoc. Prof. Milan Stanko (NTNU).
DOI: 10.17632/sf3frsthcj.1
title: Teacher Bonus Program in Brazilian Schools

description: The dataset is related to the research article "Addressing changes in professional behavior by teacher bonus: A mixed-methods approach." The data present the individual perception of teachers in relation to the teacher bonus program of the state of São Paulo (Brazil). The (online) survey using a structured questionnaire asked the teachers about their level of agreement with a serie of statements related to the bonus program and were measured on a five point Likert-format scale ranging from strongly disagree (1) to agree completely (5). The data cover a sample of 55 teachers employed in 25 different state schools from the municipality of Campinas (Brazil). Stata files (containing categorical and numeric variables) in raw format *.dta
DOI: 10.17632/h5pcn99zw4.2
title: Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis

description: This dataset is related to the research paper “Wireless electronic smell system for the detection of diseases through the exhaled breath” published in chemical engineering transactions journal (available online from October 1, 2018, https://doi.org/10.3303/cet1868066), and the data paper " Electronic nose dataset for COPD detection from smokers and healthy people through exhaled breath analysis " submitted to Data in Brief journal. For more details read the mentioned articles. The data were acquired with a sampling rate of 500 samples / second and a resolution of the ADC of 24 bits, obtaining measurements of exhaled breath with a length of 4000 data points per sensor through the matrix of 8 sensors or variables (SP-3, MQ-3, TGS 822, MQ-138, MQ-137, TGS 813, TGS-800, MQ-135). In each of the measurements of the In three groups analyzed, two measurements were taken per person with the purpose to obtain a correct measurement gathering and also correlate the exhaled breath measurements of the same person (repeatability). That is the reason why a total of 78 samples were obtained (40 from COPD, 20 from control, 8 from smokers, and 10 from the air. The database is organized in three files COPD, TABAC, CONTROL, and AIR in .txt format; which contain the measurements in voltage units and show the characteristic response of a MOS type sensor in the presence of a gas. Additionally, a text file is attached which comprises data such as gender, age, and COPD severity level (estimated) from each person and other relevant data.
DOI: 10.17632/ygm85ftmzg.1
title: teste

description: Teste de depósito de dados
DOI: 10.17632/bdywxt6cvv.1
title: Epigenetic reprogramming of CAMSC
DOI: 10.17632/33cbb37cs2.2
title: Cumulative Learning Enables Convolutional Neural Network Representations for Small Mass Spectrometry Data Classification- Data

description: The databanks include raw files from beef liver and microorganisms acquired with the Water-Assisted Laser-Desorption Ionization - SpiderMass technology and a MALDI rat brain tissue image analysed with the Rapiflex (Bruker) at 50 x 50 um resolution in positive ion mode. The SpiderMass is composed of a remote IR laser ablation system and a Synapt G2s from Waters. Each databank consists of raw files, ReadMe file (explaining experimental conditions) and a sample list
DOI: 10.17632/4cnv66fcyy.1
title: Stakeholder Surveys Lake Tanganyika fisheries

description: The fisheries of Lake Tanganyika play an important role in food security in Central and Eastern Africa. Effective legislation, supported by local populations and resource users is needed to support sustainable management of the valuable fish stocks. Knowledge of the perceptions and an understanding of the concerns and struggles of stakeholders in the fisheries can provide policy-makers with recommendations to adapt fisheries management. We interviewed 1,019 stakeholders in one close-ended and three semi-open ended surveys. Factor analysis revealed seven clusters of opinions. Linear-mixed effects models identified common grounds and differences in opinions between groups of stakeholders about strategies in fisheries management. Stakeholders of the fisheries spoke of challenges due to weather or climate variability, a noticeable decrease in fish abundance and size, and increase in price of fish on the market. Fishermen experienced a lack of safety on the lake, from aggression and dangerous weather conditions, and hardly had access to safety gear and infrastructure. Landing site officials, state employees who monitor the beaches, mentioned capture of juveniles and declining catch-rates as the biggest threats to the fisheries. None of the groups of stakeholders attributed the problems in the fisheries to overfishing or overpopulation. We found similarities in opinions over a wide range of stakeholder groups, with many stakeholders asking for better and fair enforcement of existing legislation. State employees were more positive than the other groups towards creating more strict regulation of the fisheries. The results presented offer focus-points for policy-makers to improve management of the Lake Tanganyika fisheries.
DOI: 10.17632/vwp3xvp2x8.2
title: Data for "Within- and Between-Person Factor Structure of the Oldenburg Burnout Inventory: Analysis of a Diary Study using Multilevel Confirmatory Factor Analysis"

description: The study examined the factor structure of burnout, as measured with the Oldenburg Burnout Inventory, taking into account a hierarchical data structure: daily evaluations nested in persons. The participants were 235 employees of a public administration agency who assessed their burnout online immediately after office hours for 10 consecutive working days (from Monday to Friday). Two models were tested with multilevel confirmatory factor analysis, assuming the same one or two-factor structure tested at the within- and between-person levels. The results were ambiguous, as both models showed a reasonable fit to the data. However, since exhaustion and disengagement were strongly correlated at each level and within-person reliability for disengagement was rather low, a unidimensional model seems more valid. Nonetheless, cross-level invariance was not confirmed for either of the structures, showing that factor loadings for the same items differ significantly between the levels. These results suggest that burnout is not the same latent variable at each level; rather, there are factors other than daily burnout experiences that influence person-level scores on the items. Ignoring these across-level discrepancies may lead to biased conclusions, since individuals were found to be an unexpected source of construct variability in our study
DOI: 10.6084/m9.figshare.13123848
title: Supplementary File 2: Radiocarbon dates used in the study from The Neolithic Demographic Transition in the Central Balkans: population dynamics reconstruction based on new radiocarbon evidence

description: In this paper, we test the hypothesis of the Neolithic Demographic Transition in the Central Balkan Early Neolithic (6250–5300 BC) by applying the method of summed calibrated probability distributions to the set of more than 200 new radiocarbon dates from Serbia. The results suggest that there was an increase in population size after the first farmers arrived to the study area around 6250 BC. This increase lasted for approximately 250 years and was followed by a decrease of the population size proxy after 6000 BC, reaching its minimum around 5800 BC. This was followed by another episode of growth until 5600 BC when population size proxy rapidly declined, reaching its minimum around 5500 BC. The reconstructed intrinsic growth rate value indicates that the first episode of growth might have been fuelled both by high fertility and migrations, potentially related to the effects of the 8.2 ky event. The second episode of population growth after 5800 BC was probably due to the high fertility alone. It remains unclear what caused the population to decrease episodes.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography'
DOI: 10.6084/m9.figshare.13123848.v1
title: Supplementary File 2: Radiocarbon dates used in the study from The Neolithic Demographic Transition in the Central Balkans: population dynamics reconstruction based on new radiocarbon evidence

description: In this paper, we test the hypothesis of the Neolithic Demographic Transition in the Central Balkan Early Neolithic (6250–5300 BC) by applying the method of summed calibrated probability distributions to the set of more than 200 new radiocarbon dates from Serbia. The results suggest that there was an increase in population size after the first farmers arrived to the study area around 6250 BC. This increase lasted for approximately 250 years and was followed by a decrease of the population size proxy after 6000 BC, reaching its minimum around 5800 BC. This was followed by another episode of growth until 5600 BC when population size proxy rapidly declined, reaching its minimum around 5500 BC. The reconstructed intrinsic growth rate value indicates that the first episode of growth might have been fuelled both by high fertility and migrations, potentially related to the effects of the 8.2 ky event. The second episode of population growth after 5800 BC was probably due to the high fertility alone. It remains unclear what caused the population to decrease episodes.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography'
DOI: 10.6084/m9.figshare.13123854
title: Supplementary File 3: Radiocarbon dates for the Approximate Bayesian Computation analysis from The Neolithic Demographic Transition in the Central Balkans: population dynamics reconstruction based on new radiocarbon evidence

description: In this paper, we test the hypothesis of the Neolithic Demographic Transition in the Central Balkan Early Neolithic (6250–5300 BC) by applying the method of summed calibrated probability distributions to the set of more than 200 new radiocarbon dates from Serbia. The results suggest that there was an increase in population size after the first farmers arrived to the study area around 6250 BC. This increase lasted for approximately 250 years and was followed by a decrease of the population size proxy after 6000 BC, reaching its minimum around 5800 BC. This was followed by another episode of growth until 5600 BC when population size proxy rapidly declined, reaching its minimum around 5500 BC. The reconstructed intrinsic growth rate value indicates that the first episode of growth might have been fuelled both by high fertility and migrations, potentially related to the effects of the 8.2 ky event. The second episode of population growth after 5800 BC was probably due to the high fertility alone. It remains unclear what caused the population to decrease episodes.This article is part of the theme issue ‘Cross-disciplinary approaches to prehistoric demography'
DOI: 10.5517/ccdc.csd.cc220vgf
title: CCDC 1907444: Experimental Crystal Structure Determination

description: Related Article: Zhijun Zhou, Jiachang Chen, Herong Chen, Wangqing Kong|2020|Chemical Science|11|10204|doi:10.1039/D0SC04173D
DOI: 10.5517/ccdc.csd.cc2381t8
title: CCDC 1944159: Experimental Crystal Structure Determination

description: Related Article: Gregory R. Lorzing,  Eric J. Gosselin,  Benjamin A. Trump,  Arthur H. P. York,  Arni Sturluson,  Casey A. Rowland, Glenn P. A. Yap,  Craig M. Brown,  Cory M. Simon,  Eric D. Bloch|2019|J.Am.Chem.Soc.|141|12128|doi:10.1021/jacs.9b05872
DOI: 10.5517/ccdc.csd.cc236s9f
title: CCDC 1942934: Experimental Crystal Structure Determination

description: Related Article: Yuya Wada, Ken-ichi Shinohara, Tomoyuki Ikai|2019|Chem.Commun.|55|11386|doi:10.1039/C9CC06025A
DOI: 10.5517/ccdc.csd.cc236z8l
title: CCDC 1943119: Experimental Crystal Structure Determination

description: Related Article: Rejeena V. Rajan, Lija K. Joy, D. Sajan, A.K. Thomas, S. Sathiskumar, T. Balakrishnan, G. Vinitha|2020|J.Mol.Struct.|1204|127457|doi:10.1016/j.molstruc.2019.127457
description: Related Article: D. Sajan|2021|J.Mol.Struct.|1224|129062|doi:10.1016/j.molstruc.2020.129062
DOI: 10.5517/ccdc.csd.cc237f82
title: CCDC 1943553: Experimental Crystal Structure Determination

description: Related Article: María Laura Ríos Gómez, Giulio Isacco Lampronti, Yongjian Yang, John C. Mauro, Thomas Douglas Bennett|2020|Dalton Trans.|49|850|doi:10.1039/C9DT03559A
DOI: 10.5517/ccdc.csd.cc237f93
title: CCDC 1943554: Experimental Crystal Structure Determination

description: Related Article: María Laura Ríos Gómez, Giulio Isacco Lampronti, Yongjian Yang, John C. Mauro, Thomas Douglas Bennett|2020|Dalton Trans.|49|850|doi:10.1039/C9DT03559A
DOI: 10.5517/ccdc.csd.cc238hd9
title: CCDC 1944580: Experimental Crystal Structure Determination

description: Related Article: Sara E. Gilson,  Peng Li,  Jennifer E. S. Szymanowski,  Jacob White,  Debmalya Ray,  Laura Gagliardi,  Omar K. Farha,  Peter C. Burns|2019|J.Am.Chem.Soc.|141|11842|doi:10.1021/jacs.9b06187
DOI: 10.5517/ccdc.csd.cc238hfb
title: CCDC 1944581: Experimental Crystal Structure Determination

description: Related Article: Sara E. Gilson,  Peng Li,  Jennifer E. S. Szymanowski,  Jacob White,  Debmalya Ray,  Laura Gagliardi,  Omar K. Farha,  Peter C. Burns|2019|J.Am.Chem.Soc.|141|11842|doi:10.1021/jacs.9b06187
DOI: 10.5517/ccdc.csd.cc23b31m
title: CCDC 1946119: Experimental Crystal Structure Determination

description: Related Article: Yan Shi,  Guangqiang Yin,  Zhiping Yan,  Peng Sang,  Minghui Wang,  Robert Brzozowski,  Prahathees Eswara,  LukaszWojtas,  Youxuan Zheng,  Xiaopeng Li,  Jianfeng Cai|2019|J.Am.Chem.Soc.|141|12697|doi:10.1021/jacs.9b05329
DOI: 10.5517/ccdc.csd.cc229v5f
title: CCDC 1916084: Experimental Crystal Structure Determination

description: Related Article: María Cabrero-Antonino, Sonia Remiro-Buenamañana, Manuel Souto, Antonio A. García-Valdivia, Duane Choquesillo-Lazarte, Sergio Navalón, Antonio Rodríguez-Diéguez, Guillermo Mínguez Espallargas, Hermenegildo García|2019|Chem.Commun.|55|10932|doi:10.1039/C9CC04446A
DOI: 10.5517/ccdc.csd.cc23bxx9
title: CCDC 1946921: Experimental Crystal Structure Determination

description: Related Article: Zhijun Zhou, Jiachang Chen, Herong Chen, Wangqing Kong|2020|Chemical Science|11|10204|doi:10.1039/D0SC04173D
DOI: 10.5517/ccdc.csd.cc22cfd9
title: CCDC 1917610: Experimental Crystal Structure Determination

description: Related Article: Manish Kumar, Gyanendra Kumar, Kanhaiya M. Dadure, Dhanraj T. Masram|2019|New J.Chem.|43|15462|doi:10.1039/C9NJ03178B
DOI: 10.5517/ccdc.csd.cc22cffb
title: CCDC 1917611: Experimental Crystal Structure Determination

description: Related Article: Manish Kumar, Gyanendra Kumar, Kanhaiya M. Dadure, Dhanraj T. Masram|2019|New J.Chem.|43|15462|doi:10.1039/C9NJ03178B
DOI: 10.5517/ccdc.csd.cc23dvds
title: CCDC 1948765: Experimental Crystal Structure Determination

description: Related Article: Wei Ping Rong, Jin Tian Zhu, Xu Guang Xian, Yang Chuan Qing|1992|Zhongguo Xitu Xuebao|10|200|
DOI: 10.5517/ccdc.csd.cc23f1n8
title: CCDC 1948959: Experimental Crystal Structure Determination

description: Related Article: Hanzhang Wang, Qingfeng Xu, Pu Qian, Jianping Sun, Zhengbai Cao|1996|Zhongguo Xitu Xuebao|14|292|
DOI: 10.5517/ccdc.csd.cc23f1p9
title: CCDC 1948960: Experimental Crystal Structure Determination

description: Related Article: Hanzhang Wang, Qingfeng Xu, Pu Qian, Jianping Sun, Zhengbai Cao|1996|Zhongguo Xitu Xuebao|14|292|
DOI: 10.21227/n6am-te19
title: A Multispectral Light Field Dataset for Light Field Deep Learning

description: Deep learning undoubtedly has had a huge impact on the computer vision community in recent years. In light field imaging, machine learning-based applications have significantly outperformed their conventional counterparts. Furthermore, multi- and hyperspectral light fields have shown promising results in light field-related applications such as disparity or shape estimation. Yet, a multispectral light field data\-set, enabling data-driven approaches, is missing. Therefore, we propose a new synthetic multispectral light field dataset with depth and disparity ground truth. The dataset consists of a training, validation and test dataset, containing light fields of randomly generated scenes, as well as a challenge dataset rendered from hand-crafted scenes enabling detailed performance assessment.
DOI: 10.6084/m9.figshare.12815195.v2
title: UMI4Cats Example data

description: Example datasets used in the vignettes of the UMI4Cats R package.<br>https://github.com/Pasquali-lab/UMI4Cats<br>
DOI: 10.6084/m9.figshare.12815195
title: UMI4Cats Example data

description: Example datasets used in the vignettes of the UMI4Cats R package.<br>https://github.com/Pasquali-lab/UMI4Cats<br>
DOI: 10.6084/m9.figshare.12815195.v4
title: UMI4Cats Example data

description: Example datasets used in the vignettes of the UMI4Cats R package.<br>https://github.com/Pasquali-lab/UMI4Cats<br>
DOI: 10.6084/m9.figshare.12815195.v3
title: UMI4Cats Example data

description: Example datasets used in the vignettes of the UMI4Cats R package.<br>https://github.com/Pasquali-lab/UMI4Cats<br>