cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ksk47h2hsh.1
title: Ancient Discovery

description: The dataset was collected from hanziyuan(https://hanziyuan.net) and zdic (https://www.zdic.net/) contains two folders: ancient_5_ori and ancient_3_exp. The dataset is used for the GitHub project (https://github.com/Ruixinhua/AncientDiscovery). We include five Chinese writing systems in total and used three of them to test our model.
DOI: 10.17632/f4ysyn9t58.1
title: Alternative Lengthening of Telomeres is a Self-Perpetuating Process in ALT-Associated PML Bodies

description: This data include the original images of western blots and microscopy for the paper titled "Alternative Lengthening of Telomeres is a Self-Perpetuating Process in ALT-Associated PML Bodies" Alternative lengthening of telomeres (ALT) is mediated by break-induced replication (BIR), but how BIR is regulated at telomeres is poorly understood. Here, we show that telomeric BIR is a self-perpetuating process. By tethering PML-IV to telomeres, we induced telomere clustering in ALT-associated PML bodies (APBs) and a POLD3-dependent ATR response at telomeres, showing that BIR generates replication stress. Ablation of BLM helicase activity in APBs abolishes telomere synthesis but causes multiple chromosome bridges between telomeres, revealing a function of BLM in processing inter-telomere BIR intermediates. Interestingly, the accumulation of BLM in APBs requires its own helicase activity and POLD3, suggesting that BIR triggers a feedforward loop to further recruit BLM. Enhancing BIR induces PIAS4-mediated TRF2 SUMOylation, and PIAS4 loss deprives APBs of repair proteins and compromises ALT telomere synthesis. Thus, a BLM-driven and PIAS4-mediated feedforward loop operates in APBs to perpetuate BIR, providing a critical mechanism to extend ALT telomeres.
DOI: 10.17632/wbs7j6wczx.1
title: COVID-19_haze episodes in BTH area

description: The attached data file presents the air quality data, meteorological variables and PM2.5 chemical compositions measured in BTH area from 1 January to 15 February. Source apportionment result of PM2.5 estimated via a DN-PMF was also included.
DOI: 10.17632/mtn347g3gp.1
title: Mechanical characterization of sedimentary rocks derived from Svalbard for possible use in local road constructions

description: The dataset deals with the mechanical characterization of sedimentary rocks collected along the banks of Longyear river in proximity of Longyearbyen (Svalbard) at the junction of Bolterdalen and Adventdalen valleys. Considering the use of the rocks as possible local construction materials for new road infrastructures, three types of laboratory tests were performed for mechanical characterization: Los Angeles (LA) tests, micro-Deval (MDE) tests and Repeated Load Triaxial Tests (RLTTs). Five specimens were investigated by means of LA tests, five specimens were investigated by means of MDE tests and four specimens were investigated by means of RLTTs. The grading curve of the four specimens investigated with RLTTs corresponded to a typical one commonly adopted in Norway for road base layers (0-31.5 mm). Specimen 1 and specimen 2 had water content w=2%, specimen 3 and specimen 4 had water content w=7%. RLTTs were performed following the code “EN 13286-7 Cyclic load triaxial test for unbound mixtures” according to Multi-Stage Low Stress Level (MS LSL) testing procedure. The spreadsheets showing the RLTTs results report the dynamic stress and the triaxial stress exerted in the testing device and the axial strains and the radial strains measured by a total of six Linear Variable Differential Transformers (LVDTs).
DOI: 10.17632/wnmn2pkg2s.1
title: Thin cuvette speckle sample movies

description: Sample movies in RAW6 format of the dynamic speckle patterns from spherical nanoparticles suspensions in a thin (0.11 mm) cuvette. The complete set (as of Nov 2, 2020) consists of 639 files, which gives ~ 320000 scattering images. The images were used to train, validate and test neural networks (classifiers) in order to automatically recognise suspensions. The movies are hardly recognisable to the human experimenter, while the convolution network performed very well. Observation at 26.9 deg (from the forward). Illumination with polarised 532 nm light, 1.7 mm collimated beam. Camera Pike F-032C, AVT. In order to make use of the 14-bit raw images, a dedicated codec is required. Filters converting RAW6 to 24-bit RGB are provided by the camera manufacturer. Experimental details in the paper to be published. The files are labelled with substance name, nanoparticles size and suspension dilution. Every movie is ~500 frames long and was recorded at 80 fps. Since scattered light intensity differed by several orders of magnitude between the samples, the exposition (and if necessary – the camera gain) had to be adjusted. Only several discrete values of these were used. In case of doubt, whether the dynamic range was fully utilised, the measurement was repeated for a neighbouring exposition/gain value. Changing the camera parameters between the experimental runs – in particular, the exposition (image integration time) and gain (also amplifying the electronic noise) – may introduce non-meritorical information into the pictures and mislead/hinder the learning. Some difference of brightness between movies (series of images) seems unavoidable and was coped with at the data preparation stage. _v... indicates the number of the location in the cuvette
DOI: 10.17632/g3p7723r2m.1
title: Optimization of Customer Segmentation based on Campaign Post-Purchase Parameters using Evolutionary Computing Methods

description: Customer knowledge is one of the main issues in customer relationship management (CRM). It is vital to recognize the differences between customers, classify them, and optimally allocate resources to them according to their respective values for the company. Customer segmentation offers considerable benefits to sellers. Using this technique, one can identify and select the right customers for each marketing campaign. This is done according to the lifetime value (LTV) that the customer has generated for the company. The most important parameters that the customer provides through LTV are related to recency, frequency, and monetary (RFM) value. The purpose of the seller is to maximize the profit earned by selling a product to customers. To this end, by considering the LTV of each customer, one should calculate the optimal number of levels for each of these three parameters in such a way as to maximize the seller's profit. Given that the levels of these parameters can take any number, the number of states developed in RFM analysis is very high. Therefore, determining the optimal number for each of these parameters is an NP-hard problem. Heuristic or meta-heuristic methods are usually used to overcome this problem. In this research, we used the artificial bee colony (ABC) algorithm and the genetic algorithm based on RFM analysis to optimize the selection of the right number of customer segments for marketing campaigns. The coding was done using the R programming language.
DOI: 10.17632/5d8kx2txcy.1
title: Research data for the time-varying policy analysis of China's new energy industries in the period of 2010-2019

description: Research data and interresults of the submitting paper: The shifting focus in the new energy policy of China: A comparative analysis of six provinces based on policy text mining from 2010 to 2019
DOI: 10.17632/bw6nvsmwhr.1
title: Data for Ex-ante day-ahead premium and optimal hedging in electricity markets with green and brown producers

description: This dataset contains the raw data, organized data, codes for the paper "Ex-ante Day-ahead Premium and Optimal Hedging in Electricity Markets with Green and Brown Producers".
DOI: 10.17632/3hrg9tpsx9.2
title: Childhood Cancer Cluster Simulation - Cancer in Brief Manuscript Schündeln et al. 2020

description: Incidence of newly diagnosed childhood cancer (140/1,000,000 children under 15 years) and nephroblastoma (7/1,000,000) was simulated. Clusters of defined size (1 to 50) were randomly assembled on the district level in Germany. Each cluster was simulated with different relative risk levels (1 to 100). For each combination 2000 iterations were done. Simulated data was then analyzed by three local clustering tests: Besag-Newell method, spatial scan statistic and Bayesian Besag-York-Mollié with Integrated Nested Laplace Approximation approach. The operating characteristics of all three methods were systematically documented (sensitivity, specificity, positive/negative predictive values, exact and minimum power, correct classification, positive/negative diagnostic likelihood and false positive/negative rate). The performance of each of the various cluster detection methods and scenarios in this study is reported according to the quality criteria detailed below. Minimum Power (MP): Proportion of simulations detecting at least one district of the true cluster. Exact Power (EP): Proportion of simulations detecting the true cluster without false positives. Sensitivity (sens): Proportion of correctly detected districts in the true cluster. Specificity (spec): Percentage of normal risk districts, correctly classified as normal risk districts. Positive predictive value (PPV): Proportion of districts in the detected cluster belonging to the true cluster. Negative predictive value (NPV): Proportion of districts not labeled as a risk cluster that is not part of the true cluster. Correct classification (CC): Percentage of correctly classified districts of all districts. Correct proportion (CP): Correctly labeled districts of all detected potential high-risk districts. Positive diagnostic likelihood (PDL): The ratio of high-risk districts being detected, divided by the probability non-high-risk districts being detected (sensitivity / (1-specificity). Negative diagnostic likelihood (NDL): The ratio of high-risk districts not being detected divided by the probability of non-high-risk districts not being detected ((1 – sensitivity) /specificity). False positive rate (FPR): Incorrectly labeled high-risk districts of all detected high-risk districts False negative rate (FNR): Incorrectly labeled normal-risk districts of all detected normal-risk districts
DOI: 10.17632/wsfncdwt4t.2
title: Master-curve data processing

description: The following file contains the data obtained from the experimental relaxation testing of the composite system AS4/8552 and the process used to create its relaxation Master-curve. This data has been used in the following research article: P. Fernandes et al., Influence of relaxation on the deployment behaviour of a CFRP composite elastic-hinge, Composite Structures (2020). https://doi.org/10.1016/j.compstruct.2020.113217
DOI: 10.5281/zenodo.4199027
title: Facebook, Instagram and Twitter datasets of Sinn Féin, Fine Gael and Fianna Fáil, August 2019-February 2020

description: Datasets for social media metrics for Sinn Féin, Fine Gael and Fianna Fáil for a period of six months prior to the 2020 general election in Ireland. The information was used to discern which party had the strongest online following and whether this party used tactics to achieve this.
DOI: 10.5281/zenodo.4199026
title: Facebook, Instagram and Twitter datasets of Sinn Féin, Fine Gael and Fianna Fáil, August 2019-February 2020

description: Datasets for social media metrics for Sinn Féin, Fine Gael and Fianna Fáil for a period of six months prior to the 2020 general election in Ireland. The information was used to discern which party had the strongest online following and whether this party used tactics to achieve this.
DOI: 10.5281/zenodo.4199118
title: Albero study: a longitudinal database of the social network and personal networks of a cohort of students at the end of high school

description: The Albero study analyzes the personal transitions of a cohort of high school students at the end of their studies. The data consist of (a) the longitudinal social network of the students, before (n = 69) and after (n = 57) finishing their studies; and (b) the longitudinal study of the personal networks of each of the participants in the research. The two observations of the complete social network are presented in two matrices in Excel format. For each respondent, two square matrices of 45 alters of their personal networks are provided, also in Excel format. For each respondent, both psychological sense of community and frequency of commuting is provided in a SAV file (SPSS). The database allows the combined analysis of social networks and personal networks of the same set of individuals.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;INTRODUCTION&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Ecological transitions are key moments in the life of an individual that occur as a result of a change of role or context.
DOI: 10.5281/zenodo.4199117
title: Albero study: a longitudinal database of the social network and personal networks of a cohort of students at the end of high school

description: The Albero study analyzes the personal transitions of a cohort of high school students at the end of their studies. The data consist of (a) the longitudinal social network of the students, before (n = 69) and after (n = 57) finishing their studies; and (b) the longitudinal study of the personal networks of each of the participants in the research. The two observations of the complete social network are presented in two matrices in Excel format. For each respondent, two square matrices of 45 alters of their personal networks are provided, also in Excel format. For each respondent, both psychological sense of community and frequency of commuting is provided in a SAV file (SPSS). The database allows the combined analysis of social networks and personal networks of the same set of individuals.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;INTRODUCTION&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;Ecological transitions are key moments in the life of an individual that occur as a result of a change of role or context.
DOI: 10.17632/tmvzb5z25j.2
title: Data for: Constructing vertical measurement logs using UAV-based photogrammetry: Applications for multiscale high-resolution analysis of coarse-grained volcaniclastic stratigraphy

description: This dataset includes UAV based grain measurements from volcaniclastic units from Kingston Canyon (38.11235°, 112.33470°) and Circleville Canyon (38.20198°, 112.15272°), Utah. Imagery was collected using a DJI Phantom 4 drone in 2018-2019 and orthomosaics were produced using Agisoft Photoscan. The data collected from Kingston Canyon was measured from a 5 mm resolution orthomosaic; the data collected from Circleville Canyon was measured from a 7 mm resolution orthomosaic. All measurements were conducted using ArcGIS Pro. This data can be used for enhanced analysis of coarse-grained volcaniclastic stratigraphy.
DOI: 10.17632/7g9j5267nm.1
title: Role of scl2a9 gene exon 8 in gout disease in Iraqi Population: A molecular study

description: DNA Sequences, DNA and protein alignment
DOI: 10.17632/dggbg35tkk.1
title: Single-molecule analysis reveals cooperative stimulation of Rad51 filament nucleation and growth by mediator proteins. Belan et al.

description: A file containing all the original images shown in the manuscript with cropped areas marked for the manuscript entitled 'Single-molecule analysis reveals cooperative stimulation of Rad51 filament nucleation and growth by mediator proteins' by Belan et al.
DOI: 10.6084/m9.figshare.13175147.v1
title: R0219_20180308a_videos

description: Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13175150.v1
title: R0219_20180309a_videos

description: Rat 0219, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.21227/sd5q-jt87
title: Baseline: Regression based method

description: Basic method using regression on similar meters in the dataset in combination with the known consumption statistics.
DOI: 10.6084/m9.figshare.9576863
title: Data from: The importance of neutral over niche processes in structuring Ediacaran early animal communities

description: Spatial positions of fossils on the bedding planes.<br>V2 updated with corrected co-ordinates for centre of erosional model.
DOI: 10.6084/m9.figshare.9576863.v2
title: Data from: The importance of neutral over niche processes in structuring Ediacaran early animal communities

description: Spatial positions of fossils on the bedding planes.<br>V2 updated with corrected co-ordinates for centre of erosional model.
DOI: 10.6084/m9.figshare.9576863.v1
title: Data from: The importance of neutral over niche processes in structuring Ediacaran early animal communities

description: Spatial positions of fossils on the bedding planes
DOI: 10.17632/b4bkyhx9bj.1
title: Data for: Removable camera based 2D digital image correlation for planar slender area quasi-static deformation measurement

description: Image & Matlab codes
DOI: 10.21227/987g-0k65
title: Model1

description: my first submit
DOI: 10.21227/a5sk-yy26
title: Model1

description: first submit to test
DOI: 10.6084/m9.figshare.12768335.v6
title: Supplementary material associated with the paper "Nonsubsampled Contourlet Transform Based Tone mapping operator to optimize the dynamic range of diatom shells", H. Singh et al, JVCIR (2020)

description: HDR datasets of different diatoms captured with brightfield and darkfield illumination
DOI: 10.5517/ccdc.csd.cc23pzld
title: CCDC 1957544: Experimental Crystal Structure Determination

description: Related Article: Bin Hua, Chi Zhang, Wei Zhou, Li Shao, Zedong Wang, Linjun Wang, Haiming Zhu, Feihe Huang|2020|J.Am.Chem.Soc.|142|16557|doi:10.1021/jacs.0c08751
DOI: 10.5517/ccdc.csd.cc23pzng
title: CCDC 1957546: Experimental Crystal Structure Determination

description: Related Article: Bin Hua, Chi Zhang, Wei Zhou, Li Shao, Zedong Wang, Linjun Wang, Haiming Zhu, Feihe Huang|2020|J.Am.Chem.Soc.|142|16557|doi:10.1021/jacs.0c08751
DOI: 10.5517/ccdc.csd.cc23tkdx
title: CCDC 1960979: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Hu, Peng He, Tian-Zhang Qiao, Wei Sun, Wen-Tao Li, Jie Lian, Jin-Hong Li, Shou-Fei Zhu|2020|J.Am.Chem.Soc.|142|16894|doi:10.1021/jacs.0c09083
DOI: 10.5517/ccdc.csd.cc2486zm
title: CCDC 1974110: Experimental Crystal Structure Determination

description: Related Article: Meng-Yang Hu, Peng He, Tian-Zhang Qiao, Wei Sun, Wen-Tao Li, Jie Lian, Jin-Hong Li, Shou-Fei Zhu|2020|J.Am.Chem.Soc.|142|16894|doi:10.1021/jacs.0c09083
DOI: 10.5517/ccdc.csd.cc2441fs
title: CCDC 1970094: Experimental Crystal Structure Determination

description: Related Article: Alexander E. Sedykh, Svetlana A. Sotnik, Dirk G. Kurth, Dmitriy M. Volochnyuk, Sergey V. Kolotilov, Klaus Müller-Buschbaum|2020|Z.Anorg.Allg.Chem.|646|1710|doi:10.1002/zaac.201900319
DOI: 10.5517/ccdc.csd.cc2441gt
title: CCDC 1970095: Experimental Crystal Structure Determination

description: Related Article: Alexander E. Sedykh, Svetlana A. Sotnik, Dirk G. Kurth, Dmitriy M. Volochnyuk, Sergey V. Kolotilov, Klaus Müller-Buschbaum|2020|Z.Anorg.Allg.Chem.|646|1710|doi:10.1002/zaac.201900319
DOI: 10.5517/ccdc.csd.cc24ywcc
title: CCDC 1994923: Experimental Crystal Structure Determination

description: Related Article: Subhash Garhwal, Alexander Kaushansky, Natalia Fridman, Linda J. W. Shimon, Graham de Ruiter|2020|J.Am.Chem.Soc.|142|17131|doi:10.1021/jacs.0c07689
DOI: 10.5517/ccdc.csd.cc24ywhh
title: CCDC 1994927: Experimental Crystal Structure Determination

description: Related Article: Subhash Garhwal, Alexander Kaushansky, Natalia Fridman, Linda J. W. Shimon, Graham de Ruiter|2020|J.Am.Chem.Soc.|142|17131|doi:10.1021/jacs.0c07689
DOI: 10.11570/20.0004
title: CHIMPS2: Survey description and 12CO emission in the Galactic centre

description: This contains data and other information related to the publication 'CHIMPS2: Survey description and 12CO emission in the Galactic centre' by Eden et al., 2020
DOI: 10.5517/ccdc.csd.cc253snr
title: CCDC 1999644: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Lorna M. Doyle, Erik R. Farquhar, Aidan R. McDonald|2020|Inorg.Chem.|59|13952|doi:10.1021/acs.inorgchem.0c01618
DOI: 10.5517/ccdc.csd.cc253sps
title: CCDC 1999645: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Lorna M. Doyle, Erik R. Farquhar, Aidan R. McDonald|2020|Inorg.Chem.|59|13952|doi:10.1021/acs.inorgchem.0c01618
DOI: 10.5517/ccdc.csd.cc253sqt
title: CCDC 1999646: Experimental Crystal Structure Determination

description: Related Article: Robert Gericke, Lorna M. Doyle, Erik R. Farquhar, Aidan R. McDonald|2020|Inorg.Chem.|59|13952|doi:10.1021/acs.inorgchem.0c01618
DOI: 10.5517/ccdc.csd.cc2578yn
title: CCDC 2003001: Experimental Crystal Structure Determination

description: Related Article: Cayley R. Harding, Jonathan Cann, Audrey Laventure, Mozhgan Sadeghianlemraski, Marwa Abd-Ellah, Keerthan R. Rao, Benjamin Sidney Gelfand, Hany Aziz, Loren Kaake, Chad Risko, Gregory C. Welch|2020|Materials Horizons|7|2959|doi:10.1039/D0MH00785D
DOI: 10.5517/ccdc.csd.cc258y4k
title: CCDC 2004588: Experimental Crystal Structure Determination

description: Related Article: Indranil Roy, Amine Garci, Yassine Beldjoudi, Ryan M. Young, David J. Pe, Minh T. Nguyen, Partha Jyoti Das, Michael R. Wasielewski, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|16600|doi:10.1021/jacs.0c05445
DOI: 10.5517/ccdc.csd.cc258y5l
title: CCDC 2004589: Experimental Crystal Structure Determination

description: Related Article: Indranil Roy, Amine Garci, Yassine Beldjoudi, Ryan M. Young, David J. Pe, Minh T. Nguyen, Partha Jyoti Das, Michael R. Wasielewski, J. Fraser Stoddart|2020|J.Am.Chem.Soc.|142|16600|doi:10.1021/jacs.0c05445
DOI: 10.5517/ccdc.csd.cc21dxds
title: CCDC 1889245: Experimental Crystal Structure Determination

description: Related Article: Filipe Barra de Almeida, Mariana da Silva Cunha, Wdeson Pereira Barros, Heitor Avelino De Abreu, Renata Diniz|2020|J.Phys.Chem.C|124|21103|doi:10.1021/acs.jpcc.0c06479
DOI: 10.5517/ccdc.csd.cc25g7hd
title: CCDC 2009683: Experimental Crystal Structure Determination

description: Related Article: Shengwang Xia, Zhilei Jiang, Yuan Huang, Dawei Li, Yanfeng Cui, Yahong Li, Yuanzhi Xia|2020|Inorg.Chem.|59|14031|doi:10.1021/acs.inorgchem.0c01831
DOI: 10.5517/ccdc.csd.cc25hms3
title: CCDC 2011025: Experimental Crystal Structure Determination

description: Related Article: Christopher R. Taylor, Matthew T. Mulvee, Domonkos S. Perenyi, Michael R. Probert, Graeme M. Day, Jonathan W. Steed|2020|J.Am.Chem.Soc.|142|16668|doi:10.1021/jacs.0c06749
DOI: 10.5517/ccdc.csd.cc25hmt4
title: CCDC 2011026: Experimental Crystal Structure Determination

description: Related Article: Christopher R. Taylor, Matthew T. Mulvee, Domonkos S. Perenyi, Michael R. Probert, Graeme M. Day, Jonathan W. Steed|2020|J.Am.Chem.Soc.|142|16668|doi:10.1021/jacs.0c06749
DOI: 10.5517/ccdc.csd.cc25hmv5
title: CCDC 2011027: Experimental Crystal Structure Determination

description: Related Article: Christopher R. Taylor, Matthew T. Mulvee, Domonkos S. Perenyi, Michael R. Probert, Graeme M. Day, Jonathan W. Steed|2020|J.Am.Chem.Soc.|142|16668|doi:10.1021/jacs.0c06749
DOI: 10.5517/ccdc.csd.cc25hmw6
title: CCDC 2011028: Experimental Crystal Structure Determination

description: Related Article: Christopher R. Taylor, Matthew T. Mulvee, Domonkos S. Perenyi, Michael R. Probert, Graeme M. Day, Jonathan W. Steed|2020|J.Am.Chem.Soc.|142|16668|doi:10.1021/jacs.0c06749
DOI: 10.5517/ccdc.csd.cc21dtmx
title: CCDC 1889159: Experimental Crystal Structure Determination

description: Related Article: Filipe Barra de Almeida, Mariana da Silva Cunha, Wdeson Pereira Barros, Heitor Avelino De Abreu, Renata Diniz|2020|J.Phys.Chem.C|124|21103|doi:10.1021/acs.jpcc.0c06479
DOI: 10.5517/ccdc.csd.cc25fjw1
title: CCDC 2009013: Experimental Crystal Structure Determination

description: Related Article: Chunyang Guo, Qi Zhang, Bingqing Zhu, Zaiyong Zhang, Junjie Bao, Qiaoce Ding, Guobin Ren, Xuefeng Mei|2020|Cryst.Growth Des.|20|6995|doi:10.1021/acs.cgd.0c01043