cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cmy54
title: CCDC 2193906: Experimental Crystal Structure Determination

description: Related Article: Jas S. Ward|2022|CrystEngComm|24|7029|doi:10.1039/D2CE01225A
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.cc2cmyjh
title: CCDC 2193917: Experimental Crystal Structure Determination

description: Related Article: Anupam Maiti, Arijit Halder, Susanta Dinda, Goutam Pahari, Debajyoti Ghoshal|2022|Polyhedron|227|116144|doi:10.1016/j.poly.2022.116144
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.cc2cmykj
title: CCDC 2193918: Experimental Crystal Structure Determination

description: Related Article: Anupam Maiti, Arijit Halder, Susanta Dinda, Goutam Pahari, Debajyoti Ghoshal|2022|Polyhedron|227|116144|doi:10.1016/j.poly.2022.116144
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.cc2cmylk
title: CCDC 2193919: Experimental Crystal Structure Determination

description: Related Article: Anupam Maiti, Arijit Halder, Susanta Dinda, Goutam Pahari, Debajyoti Ghoshal|2022|Polyhedron|227|116144|doi:10.1016/j.poly.2022.116144
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.cc2cmwmj
title: CCDC 2193858: Experimental Crystal Structure Determination

description: Related Article: Yi Yang, Hui Wang, Zehua Sun, Xinjin Li, Fenggang Sun, Qing Liu, Lizhi Zhang, Liping Xu, Hui Liu|2022|Org.Chem.Front.|9|5969|doi:10.1039/D2QO01271E
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.cc28mm5q
title: CCDC 2104223: Experimental Crystal Structure Determination

description: Related Article: Shashank Tripathi, Monty Kumar, Mayur D. Ambule, Ankit Saxena, Ruchir Kant, Sanjeev K. Shukla, Ajay Kumar Srivastava|2022|Org.Lett.|24|7632|doi:10.1021/acs.orglett.2c03092
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: 10.34740/kaggle/dsv/4420470
title: OntoUML/UFO Catalog
DOI: 10.21227/618k-c392
title: Real-world Commercial WiFi and Bluetooth Dataset for RF Fingerprinting

description: A real-world radio frequency (RF) fingerprinting dataset for commercial off-the-shelf (COTS) Bluetooth and WiFi emitters under challenging testbed setups is presented in this dataset. The chipsets within the devices (2 laptops and 8 commercial chips) are WiFi-Bluetooth combo transceivers. The emissions are captured with a National Instruments Ettus USRP X300 radio outfitted with a UBX160 daughterboard and a VERT2450 antenna. The receiver is tuned to record a 66.67 MHz bandwidth of the spectrum centered at the 2.414 GHz frequency. This is a first-of-its-kind dataset for fingerprinting WiFi-Bluetooth combo chipsets that are commonly found in today's IoT era. The dataset is split into two for WiFi and Bluetooth -  Day1 and Day2 - each of which is recorded in a different time frame but under the same receiver settings to enable a critical generalization test of the trained deep learning (DL) model. The authors suggest training the DL model with the Day1 dataset with recordings under varied Bluetooth and WiFi signal strengths followed by evaluating the generalization capability of the model with the Day2 dataset which is a challenging and different setup compared to Day1. This evaluation will validate the realistic deployment capability of the trained DL model. The dataset follows the SigMF specifications with certain field extensions to facilitate the fingerprinting application and include additional metadata fields. Each capture is of length 40 Mega Samples (MS) and is associated with a JSON metadata file.
DOI: 10.34740/kaggle/dsv/4420502
title: BBC News
DOI: 10.5281/zenodo.7233990
title: VsLFM-master demo trainset

description: Training set for VsLFM-master (https://github.com/THU-IBCS/VsLFM-master)
DOI: 10.5281/zenodo.7233991
title: VsLFM-master

description: Training set, pre-trained model and PSF for VsLFM-master (https://github.com/THU-IBCS/VsLFM-master)
DOI: 10.5281/zenodo.7260064
title: VsLFM-master demo trainset

description: Training set for VsLFM-master (https://github.com/THU-IBCS/VsLFM-master)
DOI: 10.34740/kaggle/dsv/4420606
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.5281/zenodo.6946053
title: Pre-fitted Bayesian models for "Gene panel selection for targeted spatial transcriptomics"

description: simulation_parameters_DARTFISH_slim.rds: Bayesian model fitted on the Zhang dataset. simulation_parameters_MERFISH_slim.rds: Bayesian model fitted on the Moffit dataset. simulation_parameters_osmFISH_slim.rds: Bayesian model fitted on the Codeluppi dataset.
DOI: 10.5517/ccdc.csd.cc2cnb5k
title: CCDC 2194278: Experimental Crystal Structure Determination

description: Related Article: Chieh-Hung Tien, Alan J. Lough, Andrei K. Yudin|2022|Chemical Science|13|12175|doi:10.1039/D2SC04496J
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.cc2cnb6l
title: CCDC 2194279: Experimental Crystal Structure Determination

description: Related Article: Chieh-Hung Tien, Alan J. Lough, Andrei K. Yudin|2022|Chemical Science|13|12175|doi:10.1039/D2SC04496J
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.cc2cnb7m
title: CCDC 2194280: Experimental Crystal Structure Determination

description: Related Article: Chieh-Hung Tien, Alan J. Lough, Andrei K. Yudin|2022|Chemical Science|13|12175|doi:10.1039/D2SC04496J
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.cc2cnb8n
title: CCDC 2194281: Experimental Crystal Structure Determination

description: Related Article: Chieh-Hung Tien, Alan J. Lough, Andrei K. Yudin|2022|Chemical Science|13|12175|doi:10.1039/D2SC04496J
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.cc25lv3r
title: CCDC 2014104: Experimental Crystal Structure Determination

description: Related Article: Li-Xin Wang, Jing Xiang, Dong Xiang, Shun-Cheung Cheng, Chi-Fai Leung, Chi-Chiu Ko, Jing Xiang|2022|Inorg.Chem.|61|16831|doi:10.1021/acs.inorgchem.2c02783
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.cc25lv4s
title: CCDC 2014105: Experimental Crystal Structure Determination

description: Related Article: Li-Xin Wang, Jing Xiang, Dong Xiang, Shun-Cheung Cheng, Chi-Fai Leung, Chi-Chiu Ko, Jing Xiang|2022|Inorg.Chem.|61|16831|doi:10.1021/acs.inorgchem.2c02783
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.cc2cjwvn
title: CCDC 2190982: Experimental Crystal Structure Determination

description: Related Article: Li-Xin Wang, Jing Xiang, Dong Xiang, Shun-Cheung Cheng, Chi-Fai Leung, Chi-Chiu Ko, Jing Xiang|2022|Inorg.Chem.|61|16831|doi:10.1021/acs.inorgchem.2c02783
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.cc2cng6q
title: CCDC 2194403: Experimental Crystal Structure Determination

description: Related Article: Philipp Dabringhaus, Ingo Krossing|2022|Chemical Science|13|12078|doi:10.1039/D2SC04637G
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.cc2cng7r
title: CCDC 2194404: Experimental Crystal Structure Determination

description: Related Article: Philipp Dabringhaus, Ingo Krossing|2022|Chemical Science|13|12078|doi:10.1039/D2SC04637G
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.cc2c223n
title: CCDC 2176730: Experimental Crystal Structure Determination

description: Related Article: Benjamin D. Coleman, Andrea I. d'Aquino, Zachary Kean, Yihan Wang, Jenny K. Hedlund Orbeck, Charlotte L. Stern, Chad A. Mirkin|2022|Polyhedron|227|116116|doi:10.1016/j.poly.2022.116116
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.cc2c225q
title: CCDC 2176732: Experimental Crystal Structure Determination

description: Related Article: Benjamin D. Coleman, Andrea I. d'Aquino, Zachary Kean, Yihan Wang, Jenny K. Hedlund Orbeck, Charlotte L. Stern, Chad A. Mirkin|2022|Polyhedron|227|116116|doi:10.1016/j.poly.2022.116116
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.cc2c224p
title: CCDC 2176731: Experimental Crystal Structure Determination

description: Related Article: Benjamin D. Coleman, Andrea I. d'Aquino, Zachary Kean, Yihan Wang, Jenny K. Hedlund Orbeck, Charlotte L. Stern, Chad A. Mirkin|2022|Polyhedron|227|116116|doi:10.1016/j.poly.2022.116116
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: 10.6084/m9.figshare.21432126
title: EGFR and ALK status and other data in our manuscript

description: These orginal data we collected from our hospital
DOI: 10.6084/m9.figshare.21432126.v1
title: EGFR and ALK status and other data in our manuscript

description: These orginal data we collected from our hospital
DOI: 10.6084/m9.figshare.21432156
title: data

description: Preferential flow in porous media is commonly encountered in many practical applications. Under preferential flow conditions, the multiphase displacement process is significantly affected by the wettability and disorder of the matrix structure. Our previous studies have discovered the preferential flow-induced nonmonotonic wettability effect by microfluidic chips with the preferential flow pathway and paralleled strongly disordered matrix structure, but the impact of the interplay between the disorder and contact angle under preferential flow conditions is still not well understood. Here, we combine microfluidic experiments and pore-scale simulations with theoretical analysis to study the impact of the disorder on the invading process from strongly water-wet to strongly oil-wet. Even though varying the strongly disordered matrix structure to a uniform state, the generality of the preferential flow-induced nonmonotonic wettability effect is still proved. However, the previous theory cannot explain the invading behavior in the uniform matrix structure. New mechanisms for the uniform matrix structure are further investigated by pore-scale modeling, which indicates that the balance of imbibition ability at the pore scale and the interfacial stability of macroscopic patterns dominate the invading process. We derive a theoretical model to describe the wettability effect and predict the optimal contact angle, which fits well with experimental and simulation results. Our work extends the previous understanding of the impact of preferential flow conditions on the wettability effect and is also of practical significance for engineering applications, such as geological CO2 sequestration, enhanced oil recovery, and soil wetting.
DOI: 10.6084/m9.figshare.21432156.v2
title: data

description: Preferential flow in porous media is commonly encountered in many practical applications. Under preferential flow conditions, the multiphase displacement process is significantly affected by the wettability and disorder of the matrix structure. Our previous studies have discovered the preferential flow-induced nonmonotonic wettability effect by microfluidic chips with the preferential flow pathway and paralleled strongly disordered matrix structure, but the impact of the interplay between the disorder and contact angle under preferential flow conditions is still not well understood. Here, we combine microfluidic experiments and pore-scale simulations with theoretical analysis to study the impact of the disorder on the invading process from strongly water-wet to strongly oil-wet. Even though varying the strongly disordered matrix structure to a uniform state, the generality of the preferential flow-induced nonmonotonic wettability effect is still proved. However, the previous theory cannot explain the invading behavior in the uniform matrix structure. New mechanisms for the uniform matrix structure are further investigated by pore-scale modeling, which indicates that the balance of imbibition ability at the pore scale and the interfacial stability of macroscopic patterns dominate the invading process. We derive a theoretical model to describe the wettability effect and predict the optimal contact angle, which fits well with experimental and simulation results. Our work extends the previous understanding of the impact of preferential flow conditions on the wettability effect and is also of practical significance for engineering applications, such as geological CO2 sequestration, enhanced oil recovery, and soil wetting.
DOI: 10.6084/m9.figshare.21432156.v1
title: Data for Figure1.xlsx

description: Preferential flow in porous media is commonly encountered in many practical applications. Under preferential flow conditions, the multiphase displacement process is significantly affected by the wettability and disorder of the matrix structure. Our previous studies have discovered the preferential flow-induced nonmonotonic wettability effect by microfluidic chips with the preferential flow pathway and paralleled strongly disordered matrix structure, but the impact of the interplay between the disorder and contact angle under preferential flow conditions is still not well understood. Here, we combine microfluidic experiments and pore-scale simulations with theoretical analysis to study the impact of the disorder on the invading process from strongly water-wet to strongly oil-wet. Even though varying the strongly disordered matrix structure to a uniform state, the generality of the preferential flow-induced nonmonotonic wettability effect is still proved. However, the previous theory cannot explain the invading behavior in the uniform matrix structure. New mechanisms for the uniform matrix structure are further investigated by pore-scale modeling, which indicates that the balance of imbibition ability at the pore scale and the interfacial stability of macroscopic patterns dominate the invading process. We derive a theoretical model to describe the wettability effect and predict the optimal contact angle, which fits well with experimental and simulation results. Our work extends the previous understanding of the impact of preferential flow conditions on the wettability effect and is also of practical significance for engineering applications, such as geological CO2 sequestration, enhanced oil recovery, and soil wetting.
DOI: 10.6084/m9.figshare.21431157
title: Isotropic tissue expansion using ProteomEx

description: Figure 3. Validation of ProteomEx in different tissue types. (A) Representative bright-field images of different tissue slices pre-expansion (left column) and post-expansion (middle column; Coomassie-stained) and overlay (right column) of pre-expansion image (green pseudo-color) and registered post-expansion image (magenta pseudo-color). Arrows represent the deformation vector field (n=3, 3, and 3 tissue slices from one mouse each; in the images of the expanded sample white circles represent the dissected area for peptide analysis shown in C). (B) The root-mean-square (RMS) measurement length error for pre- versus post- expansion brain slice images for the experiments shown in A (n=3, 3, and 3 tissue slices from one mouse each; average LEF = 5.8, 6.5, and 6.2 for brain, liver, and tumor respectively; blue line, mean; shaded area, standard deviation (SD)). Computer codes used for isotropic analysis for this study are available from Github (https://github.com/Wendy-k2/Isotropy-quantification).
DOI: 10.6084/m9.figshare.21432108
title: Gas chromatography and mass spectrometry.xls

description: Gas chromatography and mass spectrometry
DOI: 10.6084/m9.figshare.21432111
title: Electroantennogram responses of mated female adults of P. xylostella to the four -active compounds.xlsx

description: Electroantennogram responses of mated female adults of P. xylostella to the four -active compounds from wounded <em>M. spicata.</em>
DOI: 10.6084/m9.figshare.21432111.v1
title: Electroantennogram responses of mated female adults of P. xylostella to the four -active compounds.xlsx

description: Electroantennogram responses of mated female adults of P. xylostella to the four -active compounds from wounded <em>M. spicata.</em>
DOI: 10.6084/m9.figshare.21432114
title: Y-tube olfactometer assays of mated female adults of P. xylostella to the four-active compounds.xlsx

description: Y-tube olfactometer assays of mated female adults of P. xylostella to the four-active compounds from wounded <em>M. spicata.</em>
DOI: 10.6084/m9.figshare.21432114.v1
title: Y-tube olfactometer assays of mated female adults of P. xylostella to the four-active compounds.xlsx

description: Y-tube olfactometer assays of mated female adults of P. xylostella to the four-active compounds from wounded <em>M. spicata.</em>
DOI: 10.6084/m9.figshare.21432117
title: The oviposition repellent indices of four active compounds to female adults of P. xylostella.xlsx

description: The oviposition repellent indices of four active compounds to female adults of P. xylostella.
DOI: 10.6084/m9.figshare.21432117.v1
title: The oviposition repellent indices of four active compounds to female adults of P. xylostella.xlsx

description: The oviposition repellent indices of four active compounds to female adults of P. xylostella.
DOI: 10.6084/m9.figshare.21432120
title: Gas chromatography coupled with electroantennographic detection responses of female adults of P. xylostella to headspace volatiles from wounded M. spicata.tif

description: Gas chromatography coupled with electroantennographic detection responses of female adults of P. xylostella to headspace volatiles from wounded M. spicata
DOI: 10.6084/m9.figshare.21432120.v1
title: Gas chromatography coupled with electroantennographic detection responses of female adults of P. xylostella to headspace volatiles from wounded M. spicata.tif

description: Gas chromatography coupled with electroantennographic detection responses of female adults of P. xylostella to headspace volatiles from wounded M. spicata
DOI: 10.5517/ccdc.csd.cc2cptjf
title: CCDC 2195715: Experimental Crystal Structure Determination

description: Related Article: Hamdi F.K. Bumraiwha, Brian T. Sterenberg|2022|J.Organomet.Chem.|980-981|122511|doi:10.1016/j.jorganchem.2022.122511
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.