cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21f9qj
title: CCDC 1889627: Experimental Crystal Structure Determination

description: Related Article: Yusuke Takahashi, Takuya Uehara, Chihiro Matsuhashi, Minoru Yamaji, Toshiki Mutai, Isao Yoshikawa, Hirohiko Houjou, Kota Kitagawa, Tomoyoshi Suenobu, Shojiro Maki, Takashi Hirano|2019|J.Photochem.Photobiol.A:Chem.|376|324|doi:10.1016/j.jphotochem.2019.03.021
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.cc21fb83
title: CCDC 1889644: Experimental Crystal Structure Determination

description: Related Article: Yusuke Takahashi, Takuya Uehara, Chihiro Matsuhashi, Minoru Yamaji, Toshiki Mutai, Isao Yoshikawa, Hirohiko Houjou, Kota Kitagawa, Tomoyoshi Suenobu, Shojiro Maki, Takashi Hirano|2019|J.Photochem.Photobiol.A:Chem.|376|324|doi:10.1016/j.jphotochem.2019.03.021
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.cc21fbb5
title: CCDC 1889646: Experimental Crystal Structure Determination

description: Related Article: Yusuke Takahashi, Takuya Uehara, Chihiro Matsuhashi, Minoru Yamaji, Toshiki Mutai, Isao Yoshikawa, Hirohiko Houjou, Kota Kitagawa, Tomoyoshi Suenobu, Shojiro Maki, Takashi Hirano|2019|J.Photochem.Photobiol.A:Chem.|376|324|doi:10.1016/j.jphotochem.2019.03.021
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.cc21gmv0
title: CCDC 1890902: Experimental Crystal Structure Determination

description: Related Article: Ksenya V. Tsys, Maxim G. Chegerev, Kira I. Pashanova, Anton V. Cherkasov, Alexandr V. Piskunov|2019|Inorg.Chim.Acta|490|220|doi:10.1016/j.ica.2019.03.024
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.cc21gmw1
title: CCDC 1890903: Experimental Crystal Structure Determination

description: Related Article: Ksenya V. Tsys, Maxim G. Chegerev, Kira I. Pashanova, Anton V. Cherkasov, Alexandr V. Piskunov|2019|Inorg.Chim.Acta|490|220|doi:10.1016/j.ica.2019.03.024
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.cc21gmx2
title: CCDC 1890904: Experimental Crystal Structure Determination

description: Related Article: Ksenya V. Tsys, Maxim G. Chegerev, Kira I. Pashanova, Anton V. Cherkasov, Alexandr V. Piskunov|2019|Inorg.Chim.Acta|490|220|doi:10.1016/j.ica.2019.03.024
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.cc21n5vr
title: CCDC 1896234: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n5ws
title: CCDC 1896235: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n5xt
title: CCDC 1896236: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n5yv
title: CCDC 1896237: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n5zw
title: CCDC 1896238: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n60y
title: CCDC 1896239: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21n61z
title: CCDC 1896240: Experimental Crystal Structure Determination

description: Related Article: Liang-Xuan Zhong, Ming-Yue Liu, Ya-Qiu Sun, Dong-Zhao Gao, Guo-Ying Zhang, Yan-Yan Xu, Yong Fei Zeng|2019|J.Solid State Chem.|274|105|doi:10.1016/j.jssc.2019.03.021
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.cc21ptcy
title: CCDC 1897800: Experimental Crystal Structure Determination

description: Related Article: Kei Ono, Koji Kitaoka, Suguru Ikeno, Toshiaki Yonemura|2019|Polyhedron|165|116|doi:10.1016/j.poly.2019.02.057
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.cc21wwwq
title: CCDC 1903644: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Murray V. Baker, David H. Brown|2019|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.ccsmgrl
title: CCDC 733700: Experimental Crystal Structure Determination

description: Related Article: Kei Ono, Koji Kitaoka, Suguru Ikeno, Toshiaki Yonemura|2019|Polyhedron|165|116|doi:10.1016/j.poly.2019.02.057
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: 10.15468/qxstv8
title: Phytoplankton Ecology of the Saronicos Gulf, Aegean Sea.Ignatiades, L., Ν. Moschopoulou, M. Karydis & A. Vassiliou, 1983.

description: An integrated ecological investigation of Saronicos Gulf, Aegean sea, was made with the objective of studying the phytoplanktonic populations of the area in connection with the detection and quantitation of species indicators of sewage pollution.The data used comprise the results of thirty six surveys made during January - December 1980.Quantitative and qualitative data of phytoplankton populations collected monthly from nine stations are reported.The stations consisted of three transects of three stations each, from inshore to offshore waters.
DOI: 10.5281/zenodo.2596382
title: RNA-seq genes to pathways (training data)

description: Files for a Galaxy tutorial RNA-seq genes to pathways.
DOI: 10.5281/zenodo.2597551
title: Simulation data output used in the plasma nature of lightning channels and the resulting nonlinear resistance

description: Simulation data shown in "The plasma nature of lightning channels and the resulting nonlinear resistance", a paper submitted for publication in JGR by da Silva et al. [2019].

Each folder contains corresponds to a simulation case, as described below. Each file, e.g., s_1.m, corresponds to a different value of current input (all other parameters constant).

Use the Matlab script load_and_plot_data.m to load and plot the data. A sample figure output is provided (Sample_Figure_Rss_king_s_3.pdf). The eight panels in the figure show the temporal evolution of all (important) quantities inside the lightning plasma channel, allowing for a detailed inspection of the results shown in da Silva et al. [JGR, 2019].

See the file README.txt for further instructions.
DOI: 10.5281/zenodo.2597552
title: Simulation data output used in the plasma nature of lightning channels and the resulting nonlinear resistance

description: Simulation data shown in "The plasma nature of lightning channels and the resulting nonlinear resistance", a paper submitted for publication in JGR by da Silva et al. [2019].

Each folder contains corresponds to a simulation case, as described below. Each file, e.g., s_1.m, corresponds to a different value of current input (all other parameters constant).

Use the Matlab script load_and_plot_data.m to load and plot the data. A sample figure output is provided (Sample_Figure_Rss_king_s_3.pdf). The eight panels in the figure show the temporal evolution of all (important) quantities inside the lightning plasma channel, allowing for a detailed inspection of the results shown in da Silva et al. [JGR, 2019].

See the file README.txt for further instructions.
DOI: 10.5441/002/edbt.2019.11
title: An Efficient Sliding Window Approach for Approximate Entity Extraction with Synonyms
DOI: 10.5441/002/edbt.2019.21
title: Inves: Incremental Partitioning-Based Verification for Graph Similarity Search
DOI: 10.5441/002/edbt.2019.22
title: Flow Motifs in Interaction Networks
DOI: 10.5441/002/edbt.2019.32
title: Pivoted Subgraph Isomorphism: The Optimist, the Pessimist and the Realist
DOI: 10.5441/002/edbt.2019.37
title: Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams
DOI: 10.5441/002/edbt.2019.04
title: Stratified Random Sampling over Streaming and Stored Data
DOI: 10.5441/002/edbt.2019.09
title: Functional Geometric Monitoring for Distributed Streams
DOI: 10.5441/002/edbt.2019.10
title: Efficient Window Aggregation with General Stream Slicing.
DOI: 10.5441/002/edbt.2019.12
title: Attendance Maximization for Successful Social Event Planning
DOI: 10.5441/002/edbt.2019.31
title: Scalable Parallelization of RDF Joins on Multicore Architectures
DOI: 10.5441/002/edbt.2019.34
title: Extending Cross-Domain Knowledge Bases with Long Tail Entities using Web Table Data
DOI: 10.5441/002/edbt.2019.17
title: Semantic and Influence aware k-Representative Queries over Social Streams
DOI: 10.5441/002/edbt.2019.50
title: MINARET: A Recommendation Framework for Scientific Reviewers
DOI: 10.5441/002/edbt.2019.51
title: SCube: A Tool for Segregation Discovery
DOI: 10.5441/002/edbt.2019.70
title: ITGC: Information-theoretic grid-based clustering
DOI: 10.5441/002/edbt.2019.71
title: Adaptive Watermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams
DOI: 10.5441/002/edbt.2019.72
title: Identifying Bias in Name Matching Tasks
DOI: 10.5441/002/edbt.2019.73
title: Rock - Let the points roam to their clusters themselves
DOI: 10.5441/002/edbt.2019.75
title: Repairing of Record Linkage: Turning Errors into Insight
DOI: 10.5441/002/edbt.2019.43
title: Hidden Layer Models for Company Representations and Product Recommendations
DOI: 10.5441/002/edbt.2019.52
title: SparkTune: tuning Spark SQL through query cost modeling
DOI: 10.5441/002/edbt.2019.53
title: HOTMapper: Historical Open Data Table Mapper
DOI: 10.5441/002/edbt.2019.54
title: SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms
DOI: 10.5441/002/edbt.2019.55
title: devUDF: Increasing UDF development efficiency through IDE Integration. It works like a PyCharm!
DOI: 10.5441/002/edbt.2019.56
title: ML2SQL - Compiling a Declarative Machine Learning Language to SQL and Python
DOI: 10.5441/002/edbt.2019.76
title: Streaming HyperCube: A Massively Parallel Stream Join Algorithm
DOI: 10.5441/002/edbt.2019.77
title: Exploring Fairness of Ranking in Online Job Marketplaces
DOI: 10.5281/zenodo.2597025
title: Year without Summer Dataset

description: Set of texts made to search for representations of Year without Summer in literature.
description: {"references": ["Kj\u00e6r, Lars (2019), Year without summer literature dataset"]}
DOI: 10.5441/002/edbt.2019.42
title: Predicting "What is Interesting" by Mining Interactive-Data-Analysis Session Logs
DOI: 10.5441/002/edbt.2019.58
title: VISTA: A visual analytics platform for semantic annotation of trajectories
DOI: 10.5441/002/edbt.2019.59
title: SLIPO: Large-Scale Data Integration for Points of Interest
DOI: 10.5441/002/edbt.2019.60
title: A Map Search System based on a Spatial Query Language
DOI: 10.5441/002/edbt.2019.78
title: Snapshot Isolation for Transactional Stream Processing
DOI: 10.5441/002/edbt.2019.79
title: Recurrent Neural Networks for Dynamic User Intent Prediction in Human-Database Interaction
DOI: 10.5441/002/edbt.2019.80
title: Optimal Algorithm for Profiling Dynamic Arrays with Finite Values
DOI: 10.5441/002/edbt.2019.81
title: Publishing Differentially Private Datasets via Stable Microaggregation
DOI: 10.5441/002/edbt.2019.61
title: FaiRank: An Interactive System to Explore Fairness of Ranking in Online Job Marketplaces
DOI: 10.5441/002/edbt.2019.82
title: Range Query Processing for Monitoring Applications over Untrustworthy Clouds
DOI: 10.5441/002/edbt.2019.83
title: Towards Augmented Database Schemes by Discovery of Latent Visual Attributes
DOI: 10.5441/002/edbt.2019.64
title: Improving Named Entity Recognition using Deep Learning with Human in the Loop
DOI: 10.5441/002/edbt.2019.65
title: Demonstrating data collections curation and exploration with CURARE
DOI: 10.5441/002/edbt.2019.88
title: From Copernicus Big Data to Extreme Earth Analytics
DOI: 10.5441/002/edbt.2019.89
title: Neuromorphic Hardware As Database Co-Processors: Potential and Limitations
DOI: 10.5441/002/edbt.2019.66
title: SparkER: Scaling Entity Resolution in Spark
DOI: 10.5441/002/edbt.2019.67
title: Exploring Interpretable Features for Large Time Series with SE4TeC
DOI: 10.5441/002/edbt.2019.68
title: HASQL: a Method of Masking System Failures
DOI: 10.5441/002/edbt.2019.69
title: Query-Driven Data Minimization with the DataEconomist
DOI: 10.5441/002/edbt.2019.90
title: Query Driven Data Labeling with Experts: Why Pay Twice?
DOI: 10.5441/002/edbt.2019.91
title: A Galaxy of Correlations
DOI: 10.5441/002/edbt.2019.92
title: Insights into a running clockwork: On interactive process-aware clustering
DOI: 10.17632/8jcwbmzpnt.1
title: Cognitive biases resulting from the representativeness heuristic in operations management: an experimental investigation

description: This file contains the six scenarios used to study the six cognitive biases resulting from the Representativeness heuristic.
DOI: 10.5441/002/edbt.2019.18
title: Comparative Analysis of Content-based Personalized Microblog Recommendations
DOI: 10.5441/002/edbt.2019.20
title: A Utility-Preserving and Scalable Technique for Protecting Location Data with Geo-Indistinguishability
DOI: 10.5441/002/edbt.2019.41
title: Finding Meaningful Contrast Patterns for Quantitative Data
DOI: 10.5441/002/edbt.2019.45
title: Executing Entity Matching End to End: A Case Study
DOI: 10.5441/002/edbt.2019.95
title: Triad Enumeration at Trillion-Scale Using a Single Commodity Machine
DOI: 10.5441/002/edbt.2019.02
title: Umzi: Unified Multi-Zone Indexing for Large-Scale HTAP
DOI: 10.5441/002/edbt.2019.07
title: Spec-QP: Speculative Query Planning for Joins over Knowledge Graphs
DOI: 10.5441/002/edbt.2019.19
title: Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion
DOI: 10.5441/002/edbt.2019.24
title: CLX: Towards verifiable PBE data transformation
DOI: 10.5441/002/edbt.2019.26
title: A Six-dimensional Analysis of In-memory Aggregation
DOI: 10.5441/002/edbt.2019.29
title: Efficient Computation of Probabilistic Core Decomposition at Web-Scale
DOI: 10.5441/002/edbt.2019.30
title: Efficient Network Reliability Computation in Uncertain Graphs
DOI: 10.5441/002/edbt.2019.08
title: Iterative Estimation of Mutual Information with Error Bounds
DOI: 10.5441/002/edbt.2019.13
title: GroupTravel: Customizing Travel Packages for Groups
DOI: 10.5441/002/edbt.2019.14
title: SEP2P: Secure and Efficient P2P Personal Data Processing
DOI: 10.5441/002/edbt.2019.27
title: BionicDB: Fast and Power-Efficient OLTP on FPGA
DOI: 10.5441/002/edbt.2019.36
title: Discovering Order Dependencies through Order Compatibility
DOI: 10.5441/002/edbt.2019.38
title: RDF graph summarization: principles, techniques and applications
DOI: 10.5441/002/edbt.2019.39
title: Schemas And Types For JSON Data
DOI: 10.5441/002/edbt.2019.40
title: Influence Maximization Revisited: The State of the Art and the Gaps that Remain
DOI: 10.25345/c5hk82
title: MassIVE MSV000083587 - An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples
title: Glycosylation, as a biologically important protein post-translational modification, often alters on both glycosites and glycans, simultaneously. However, most of these current approaches focused on biased profiling of either glycosites or glycans, and suffered from time-consuming process and limited by milligrams of starting protein material. We describe here a simple and integrated spintip-based glycoproteomics technology (termed Glyco-SISPROT) for challenging the lowest starting material limitation and achieving a comprehensive view of glycoproteome with shortest sample processing time. By carefully integrating and optimizing SCX, C18 and Concanavalin A (Con A) packing material and their combination in spintip format, both predigested peptides and protein lysates could be processed by Glyco-SISPROT with high efficiency. More importantly, deglycopeptide, intact glycopeptide and glycans released by multiple glycosidases could be readily collected from the same Glyco-SISPROT workflow for LC-MS analysis. In total, above 1850 glycosites in ~1770 unique deglycopeptides were characterized from mouse liver by using either 100 microgram of predigested peptides or directly using 100 microgram of protein lysates, in which about 30 percentage of glycosites were released by both PNGase F and Endos. To the best of our knowledge, this approach should be one of the most comprehensive glycoproteomic approaches by using limited protein starting material. One significant benefit of Glyco-SISPROT was that whole processing time was dramatically reduced from a few days to only 6 hours with good reproducibility when protein lysates were directly processed by Glyco-SISPROT. We expect that this method will be suitable for multi-level glycoproteome analysis of rare biological samples with high sensitivity.
DOI: 10.5281/zenodo.2592265
title: Radiation damage in small molecule crystallography - experiment 1

description: First data set in a series of experiments investigating the effect of radiation damage to a small molecule crystal structure. Sample: catena-(bis(m2-Glycyl-histidinato-N,N',O)-nickel(II) heptahydrate) sum formula: C16H36N8NiO13 Wavelength: 0.6889 Angstrom Temperature: 100 K Flux: 8.8•10<sup>9 </sup>ph/s Crystal size: 0.050 x 0.010 x 0.010 mm Calculated dose (DWD) per scan: 0.63 MGy
DOI: 10.18112/openneuro.ds001761.v2.0.0
title: Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks.