cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/26083dd1-ec0b-418a-a5a8-06611f47e626
title: Mothra Broadband Seismometer Deployed 2022-08-03

description: The Guralp CMG-IT Broadband Seismometer 2216 was deployed on 2022-08-03 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Broadband Seismometer. Broadband Seismometers measure seismic waves over a broad frequency range depending on the device (e.g. 0.00278 Hz - 250 Hz). A broadband seismometer facilitates measurement of seismic events in the widest frequency band possible. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/a40faca2-d012-4182-8e13-94c982e21f7d
title: Mothra Broadband Seismometer Deployed 2022-08-03

description: The Guralp CMG-IT Broadband Seismometer 2216 was deployed on 2022-08-03 at Mothra. Mothra is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Broadband Seismometer. Broadband Seismometers measure seismic waves over a broad frequency range depending on the device (e.g. 0.00278 Hz - 250 Hz). A broadband seismometer facilitates measurement of seismic events in the widest frequency band possible. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5517/ccdc.csd.cc2b8t9r
title: CCDC 2153424: Experimental Crystal Structure Determination

description: Related Article: Tuncay Yeşilkaynak, Fatma Nur Özkömeç, Mustafa Çeşme, Ruken Esra Demirdöğen, Canan Vejselova Sezer, Hatice Mehtap Kutlu, Fatih Mehmet Emen|2023|J.Mol.Struct.|1280|135086|doi:10.1016/j.molstruc.2023.135086
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bsnmf
title: CCDC 2168655: Experimental Crystal Structure Determination

description: Related Article: Lihao Guo|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2btcm5
title: CCDC 2169337: Experimental Crystal Structure Determination

description: Related Article: Lihao Guo|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bwgl9
title: CCDC 2171351: Experimental Crystal Structure Determination

description: Related Article: Jun Liu, Lihui Jiang, Hao Chang, Haoliang Liu, Xiao-Yu Cao, Yingping Zou, Yunbin Hu|2022|Chem.Commun.|58|13087|doi:10.1039/D2CC04475G
description: Related Article: Jun Liu, Hao Chang, Haoliang Liu, Xiaoyu Cao, Yingping Zou, Yunbin Hu|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbg5d
title: CCDC 2214583: Experimental Crystal Structure Determination

description: Related Article: Valentin Jubault, Barthélémy Pradines, Céline Pichon, Nicolas Suaud, Carine Duhayon, Nathalie Guihéry, Jean-Pascal Sutter|2023|Cryst.Growth Des.|23|1229|doi:10.1021/acs.cgd.2c01360
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c33wh
title: CCDC 2177746: Experimental Crystal Structure Determination

description: Related Article: Chunhui Ye, Ze Li, Zixin Chang, Sha Wu, Yimeng Sun, Wei Xu|2023|Inorg.Chem.|62|2334|doi:10.1021/acs.inorgchem.2c04113
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.qyljqy25
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.5281/zenodo.7630372
title: Dataset for Unsupervised Clustering of CFG Files

description: This dataset consists of control flow graphs (CFGs) of malware and benign binary files. Due to the security risk of sharing malware binary files online, these binary files are not shared. However, the hash values of the binaries are given for information. The dataset is associated with the software available at https://github.com/MSUSEL/unsupervised-graph (link may change). A manuscript outlining the problem and software solution, titled "Malware Detection Using Unsupervised Clustering of Binary File Control Flow Graphs," is under review for publication in IEEE Transactions on Information Forensics and Security. Upon publication, the related identifiers for both the code and the paper will be updated.
DOI: 10.5281/zenodo.7630371
title: Dataset for Unsupervised Clustering of CFG Files

description: This dataset consists of control flow graphs (CFGs) of malware and benign binary files. Due to the security risk of sharing malware binary files online, these binary files are not shared. However, the hash values of the binaries are given for information. The dataset is associated with the software available at https://github.com/MSUSEL/unsupervised-graph (link may change). A manuscript outlining the problem and software solution, titled "Malware Detection Using Unsupervised Clustering of Binary File Control Flow Graphs," is under review for publication in IEEE Transactions on Information Forensics and Security. Upon publication, the related identifiers for both the code and the paper will be updated.
DOI: 10.6092/unibo/amsacta/7161
title: Booster Dataset - Monocular Split

description: Estimating depth from images nowadays yields outstanding results, both in terms of in-domain accuracy and generalization. However, we identify two main challenges that remain open in this field: dealing with non-Lambertian materials and effectively processing high-resolution images. Purposely, we propose a novel dataset that includes accurate and dense ground-truth labels at high resolution, featuring scenes containing several specular and transparent surfaces. Our acquisition pipeline leverages a novel deep space-time stereo framework, enabling easy and accurate labeling with sub-pixel precision. The dataset is composed of 606 samples collected in 85 different scenes, each sample includes both a high-resolution pair (12 Mpx) as well as an unbalanced stereo pair (Left: 12 Mpx, Right: 1.1 Mpx). Additionally, we provide manually annotated material segmentation masks and 15K unlabeled samples. We divide the dataset into a training set, and two testing sets, the latter devoted to the evaluation of stereo and monocular depth estimation networks respectively to highlight the open challenges and future research directions in this field.
DOI: 10.18434/mds2-2714
title: RGTM 10169
DOI: 10.34740/kaggle/dsv/4978977
title: Ryanscomputers.com all laptop ads with specific.
DOI: 10.5281/zenodo.7630412
title: Hydrologic responses and statistics

description: This repository contains the "mega master flow BD and Dayton" csv sheet which contains all storm, hydrologic, and model (i.e., CN, Simple, Rational) inputs. All R files are also included, which follow the subsections of the paper. The code is commented to understand which lines of code correspond to which analysis.
DOI: 10.5281/zenodo.7630411
title: Hydrologic responses and statistics

description: This repository contains the "mega master flow BD and Dayton" csv sheet which contains all storm, hydrologic, and model (i.e., CN, Simple, Rational) inputs. All R files are also included, which follow the subsections of the paper. The code is commented to understand which lines of code correspond to which analysis.
DOI: 10.6084/m9.figshare.22080860.v1
title: Environment.csv

description: Indexes and precipitation values of Senegal between 2015 and 2021
DOI: 10.5281/zenodo.7204095
title: Unified bursting strategies in ectopic and endogenous even-skipped expression patterns - Supplemental Data

description: This dataset contains the supplemental data of the article "Unified bursting strategies in ectopic and endogenous even-skipped expression patterns".
description: Acknowledgements This work was supported by an HHMI Investigator award to MBE. HGG was supported by the Burroughs Wellcome Fund Career Award at the Scientific Interface, the Sloan Research Foundation, the Human Frontiers Science Program, the Searle Scholars Program, the Shurl and Kay Curci Foundation, the Hellman Foundation, the NIH Director's New Innovator Award (DP2 OD024541-01), NSF CAREER Award (1652236), an NIH R01 Award (R01GM139913) and the Koret-UC Berkeley-Tel Aviv University Initiative in Computational Biology and Bioinformatics. HGG is also a Chan Zuckerberg Biohub Investigator. NCL was supported by the NIH Genomics and Computational Biology training grant 5T32HG000047-18. AB was supported by a University of California Institute for Mexico and the United States (UC MEXUS) Doctoral Fellowship.
DOI: 10.5281/zenodo.4593444
title: Datasets for -Robustness of epithelial sealing is an emerging property of local ERK feedbacks driven by cell elimination- Valon et al. Developmental Cell 2021

description: This is the data set used in the following article: Robustness of epithelial sealing is an emerging property of local ERK feedbacks driven by cell elimination by Valon et al. , published in Developmental Cell, 2021. It contains all the codes and movies used in this article.
DOI: 10.18434/mds2-2835
title: Generator Fleet Characteristics Model
DOI: 10.6073/pasta/9e6001b676a0f0efb72cd4c5d82191b6
title: Organic and inorganic carbon concentration and stable isotope composition in poorly drained agricultural soils in Iowa, USA

description: We measured soil organic carbon (SOC) and inorganic carbon (carbonate) in samples collected along topographic gradients in agricultural fields in Iowa, USA, in 2018. We also measured stable isotopes of SOC, soil nitrogen, and carbon in respired CO2 to provide additional context for organic matter dynamics. Additional physical, chemical, and hydrologic variables were measured on these samples and in the field sites to understand mechanisms underlying patterns in soil organic and inorganic carbon.
DOI: 10.22002/vyfm3-jjk97
title: Available Data of Thermodynamic Nonequilibrium Model for Preferential Infiltration and Refreezing of Melt in Snow

description: Data corresponding to the paper "Thermodynamic Nonequilibrium Model for Preferential Infiltration and Refreezing of Melt in Snow"
DOI: 10.5517/ccdc.csd.cc2d1y2h
title: CCDC 2206396: Experimental Crystal Structure Determination

description: Related Article: Felix J. de Zwart, Petrus C. M. Laan, Nicole S. van Leeuwen, Eduard O. Bobylev, Erika R. Amstalden van Hove, Simon Mathew, Ning Yan, Jitte Flapper, Keimpe J. van den Berg, Joost N. H. Reek and Bas de Bruin|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d3xv9
title: CCDC 2208311: Experimental Crystal Structure Determination

description: Related Article: Wen Luo, Bin Hu, Hua-Li Zhang, Chunyang Li, Yupeng Shi, Xingchen Li, Lin Jin|2023|Materials and Design|226|111674|doi:10.1016/j.matdes.2023.111674
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbf6d
title: CCDC 2214553: Experimental Crystal Structure Determination

description: Related Article: Ilan R. Hirschfield, Daniel J. Curran, William W. Brennessel, Michael L. Neidig|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbfgn
title: CCDC 2214561: Experimental Crystal Structure Determination

description: Related Article: Nikki J. Wolford, William W. Brennessel, Michael L. Neidig|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbw7w
title: CCDC 2214988: Experimental Crystal Structure Determination

description: Related Article: Kai Yang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbw8x
title: CCDC 2214989: Experimental Crystal Structure Determination

description: Related Article: Igor Litvinov|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbync
title: CCDC 2215063: Experimental Crystal Structure Determination

description: Related Article: Yishou Wang, Xiaohan Zhu, Jierui Jing, Fen Wang, Ruijie Mi, Xingwei Li|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cm09b
title: CCDC 2193011: Experimental Crystal Structure Determination

description: Related Article: Andrea Baschieri, Flavia Aleotti, Elia Matteucci, Letizia Sambri, Michele Mancinelli, Andrea Mazzanti, Enrico Leoni, Nicola Armaroli, Filippo Monti|2023|Inorg.Chem.|62|2456|doi:10.1021/acs.inorgchem.2c04449
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f460t
title: CCDC 2238355: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, M.J. Carr|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f554y
title: CCDC 2239289: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, J.D. Kennedy, A. Franken, M.J. Carr|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.22002/w6zyq-wqw17
title: Available Data of Thermodynamic Nonequilibrium Model for Preferential Infiltration and Refreezing of Melt in Snow

description: Data corresponding to the paper "Thermodynamic Nonequilibrium Model for Preferential Infiltration and Refreezing of Melt in Snow"
DOI: 10.6084/m9.figshare.11377419
title: MOESM55 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 55: Table S55. Distribution of the prevalent dialysis patient with hospitalization, by dialysis vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377422.v1
title: MOESM56 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 56: Table S56. Distribution of the prevalent dialysis patient with hospitalization, by dialysis modality and sex, 2017
DOI: 10.6084/m9.figshare.11377428.v1
title: MOESM58 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 58: Table S58. Distribution of the prevalent dialysis patient with hospitalization, by cause of hospitalization and age, 2017
DOI: 10.6084/m9.figshare.11377413
title: MOESM53 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 53: Table S53. Prevalent dialysis patient distribution, by history of carpal tunnel surgery and Î²2-MG removal rate, 2017
DOI: 10.6084/m9.figshare.11377416
title: MOESM54 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 54: Table S54. Distribution of the prevalent dialysis patient with hospitalization, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377419.v1
title: MOESM55 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 55: Table S55. Distribution of the prevalent dialysis patient with hospitalization, by dialysis vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377404
title: MOESM51 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 51: Table S51. Prevalent dialysis patient distribution, by vascular access type and dialysis vintage, 2017
DOI: 10.6084/m9.figshare.11377410.v1
title: MOESM52 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 52: Table S52. Distribution of the prevalent patients with the history of carpal tunnel surgery, by dialysis vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377413.v1
title: MOESM53 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 53: Table S53. Prevalent dialysis patient distribution, by history of carpal tunnel surgery and Î²2-MG removal rate, 2017
DOI: 10.6084/m9.figshare.11377416.v1
title: MOESM54 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 54: Table S54. Distribution of the prevalent dialysis patient with hospitalization, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377368
title: MOESM4 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 4: Table S4. Trend in the average age of the prevalent dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377395
title: MOESM50 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 50: Table S50. Prevalent dialysis patient distribution, by vascular access type and age, 2017
DOI: 10.6084/m9.figshare.11377404.v1
title: MOESM51 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 51: Table S51. Prevalent dialysis patient distribution, by vascular access type and dialysis vintage, 2017
DOI: 10.6084/m9.figshare.11377350
title: MOESM48 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 48: Table S48. PD patient distribution, by peritonitis rate and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377356
title: MOESM49 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 49: Table S49. PD patient distribution, by pre-dialysis Î²2-MG concentration and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377395.v1
title: MOESM50 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 50: Table S50. Prevalent dialysis patient distribution, by vascular access type and age, 2017
DOI: 10.6084/m9.figshare.11377344
title: MOESM46 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 46: Table S46. Prevalent PD patient count, by PD vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377347
title: MOESM47 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 47: Table S47. Prevalent PD patient distribution, by type of PD fluid and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377350.v1
title: MOESM48 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 48: Table S48. PD patient distribution, by peritonitis rate and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377356.v1
title: MOESM49 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 49: Table S49. PD patient distribution, by pre-dialysis Î²2-MG concentration and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377368.v1
title: MOESM4 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 4: Table S4. Trend in the average age of the prevalent dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377341
title: MOESM45 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 45: Table S45. Prevalent PD patient count, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377344.v1
title: MOESM46 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 46: Table S46. Prevalent PD patient count, by PD vintage and sex, 2017