cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21n23x
title: CCDC 1896118: Experimental Crystal Structure Determination

description: Related Article: Nicolas Lardon, Raphael Liffert, Anthony Linden, Karl Gademann|2019|Angew.Chem.,Int.Ed.|58|7004|doi:10.1002/anie.201901898
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.cc21n7dc
title: CCDC 1896282: Experimental Crystal Structure Determination

description: Related Article: Monica L. K. Sanchez, Chang-Hao Wu, Michael W. W. Adams, R. Brian Dyer|2019|Chem.Commun.|55|5579|doi:10.1039/C9CC01150A
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.cc21n7fd
title: CCDC 1896283: Experimental Crystal Structure Determination

description: Related Article: Monica L. K. Sanchez, Chang-Hao Wu, Michael W. W. Adams, R. Brian Dyer|2019|Chem.Commun.|55|5579|doi:10.1039/C9CC01150A
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.cc21n7gf
title: CCDC 1896284: Experimental Crystal Structure Determination

description: Related Article: Monica L. K. Sanchez, Chang-Hao Wu, Michael W. W. Adams, R. Brian Dyer|2019|Chem.Commun.|55|5579|doi:10.1039/C9CC01150A
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.cc21n7hg
title: CCDC 1896285: Experimental Crystal Structure Determination

description: Related Article: Monica L. K. Sanchez, Chang-Hao Wu, Michael W. W. Adams, R. Brian Dyer|2019|Chem.Commun.|55|5579|doi:10.1039/C9CC01150A
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.cc2052v4
title: CCDC 1851935: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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.cc2052w5
title: CCDC 1851936: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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.cc207f4v
title: CCDC 1854176: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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.cc21n7jh
title: CCDC 1896286: Experimental Crystal Structure Determination

description: Related Article: Monica L. K. Sanchez, Chang-Hao Wu, Michael W. W. Adams, R. Brian Dyer|2019|Chem.Commun.|55|5579|doi:10.1039/C9CC01150A
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.cc21n855
title: CCDC 1896306: Experimental Crystal Structure Determination

description: Related Article: Arun Pal, Santanu Chand, Joan Cano Boquera, Francesc Lloret, Jian-Bin Lin, Shyam Chand Pal, Madhab C. Das|2019|Inorg.Chem.|58|6246|doi:10.1021/acs.inorgchem.9b00471
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.cc21n866
title: CCDC 1896307: Experimental Crystal Structure Determination

description: Related Article: Arun Pal, Santanu Chand, Joan Cano Boquera, Francesc Lloret, Jian-Bin Lin, Shyam Chand Pal, Madhab C. Das|2019|Inorg.Chem.|58|6246|doi:10.1021/acs.inorgchem.9b00471
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.cc21n877
title: CCDC 1896308: Experimental Crystal Structure Determination

description: Related Article: Arun Pal, Santanu Chand, Joan Cano Boquera, Francesc Lloret, Jian-Bin Lin, Shyam Chand Pal, Madhab C. Das|2019|Inorg.Chem.|58|6246|doi:10.1021/acs.inorgchem.9b00471
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.cc21n967
title: CCDC 1896338: Experimental Crystal Structure Determination

description: Related Article: Tomás F. Beltrán, Rosa Llusar|2019|Polyhedron|167|39|doi:10.1016/j.poly.2019.04.004
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: 10.21227/ejnj-4990
title: Cyfra 21.1 CEA for both serum and pleural fluid of 168 patients

description: Malignant pleural effusions (MPEs) are a challenging public health problem, causing significant morbidity and often being the first presenting sign of cancer. Pleural fluid cytology is the most common method used to differentiate malignant from non-malignant effusions. However, its sensitivity reaches 50-70% and depends on the experience of the cytologist, the tumor load, and the amount of fluid tested. Therefore, diagnostic inaccuracy and a high incidence of false negatives may endanger patients with clinical mistreatment and mismanagement. Analysis of tumor markers in pleural effusions has been considered so far as a valid and less invasive alternative for identifying MPEs, and a reliable diagnostic aid in advanced stages when cytology examination is inconclusive. Although thoracoscopic and video assisted pleural biopsy have high specificity as minimally invasive procedures, they are not well tolerated by some patients and may not be available in all hospitals. Therefore, novel non-invasive methods are required that could be widely available, and would be able to differentiate MPEs from benign effusions. This work describes the use of Genetic Programming to determine the optimal panel of markers able to fix a highly sensitive differentiation between benign and MPEs. A formula is also provided mining the complex relation existing between the expressed markers and the presence of lung cancer. The proposed formula indicates CEA and CYFRA21-1 as high efficient tumor markers in the diagnosis of cytologically negative lung cancer associated MPE, and emphasizes the complex relationships between these markers and the lung cancer. The experimental results put into evidence the effectiveness of the proposed approach in predict the typology of the lung cancer (benign or malignant) given biomarkers.
DOI: 10.21227/wk3e-5x64
title: Cyfra 21.1 CEA for both serum and pleural fluid of 168 patients

description: Malignant pleural effusions (MPEs) are a challenging public health problem, causing significant morbidity and often being the first presenting sign of cancer. Pleural fluid cytology is the most common method used to differentiate malignant from non-malignant effusions. However, its sensitivity reaches 50-70% and depends on the experience of the cytologist, the tumor load, and the amount of fluid tested. Therefore, diagnostic inaccuracy and a high incidence of false negatives may endanger patients with clinical mistreatment and mismanagement. Analysis of tumor markers in pleural effusions has been considered so far as a valid and less invasive alternative for identifying MPEs, and a reliable diagnostic aid in advanced stages when cytology examination is inconclusive. Although thoracoscopic and video assisted pleural biopsy have high specificity as minimally invasive procedures, they are not well tolerated by some patients and may not be available in all hospitals. Therefore, novel non-invasive methods are required that could be widely available, and would be able to differentiate MPEs from benign effusions. This work describes the use of Genetic Programming to determine the optimal panel of markers able to fix a highly sensitive differentiation between benign and MPEs. A formula is also provided mining the complex relation existing between the expressed markers and the presence of lung cancer. The proposed formula indicates CEA and CYFRA21-1 as high efficient tumor markers in the diagnosis of cytologically negative lung cancer associated MPE, and emphasizes the complex relationships between these markers and the lung cancer. The experimental results put into evidence the effectiveness of the proposed approach in predict the typology of the lung cancer (benign or malignant) given biomarkers.
DOI: 10.5517/ccdc.csd.cc21p586
title: CCDC 1897177: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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.cc21p597
title: CCDC 1897178: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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.cc21p5b8
title: CCDC 1897179: Experimental Crystal Structure Determination

description: Related Article: Jeff M. Van Raden, Brittany M. White, Lev N. Zakharov, Ramesh Jasti|2019|Angew.Chem.,Int.Ed.|58|7341|doi:10.1002/anie.201901984
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: 10.6073/pasta/20ae645e394e9910a61f898e573b4984
title: Hurricane record for the Virginia Coast Reserve, 1667-1976

description: Goals for project BPH8801
--&gt;
  To build an inventory of tropical storms on the VCR from 1650 to present. While tropical storms are infrequent (several landfalls per 100 years) the magnitude of the disturbance is great. Storm surges 10 feet plus are expected with waves of 17 to 23 feet offshore. The record being developed will serve as a benchmark and will serve when the next tropical storm comes. Comparisons of frequency and magnitude can be detailed and can be used in model studies.
DOI: 10.25810/6qjv-1296.12
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - March 2019

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.25810/fj1y-8c74.3
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2019 - March 2019

description: The Media and Climate Change Observatory Data monitors 79 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.17632/8mpmrs3pvm.1
title: Data for: An experimental investigation on the characteristics of two-phase flow destabilization in the circular channel with bypass

description: Workking conditions inclde different inner diameters (Din=6.80 mm, Din=4.95 mm and Din=2.15 mm), different mass fluxes and different inlet water temperatures.
DOI: 10.5281/zenodo.2647139
title: tmaugey/FTV360: First release of FTV360

description: The readme is uploaded
DOI: 10.5281/zenodo.2647140
title: tmaugey/FTV360: First release of FTV360

description: The readme is uploaded
DOI: 10.5519/qd.holfb5ho
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (105 records)
DOI: 10.17632/244jnv2vjt.1
title: Data for: Platinum drugs in the Australian cancer chemotherapy healthcare setting: is it worthwhile for chemists to continue to develop platinums?

description: Chemotherapy guidelines with data extracted from the Australian EviQ Cancer treatment database
DOI: 10.25582/data.2018-08.1610802/1507553
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610816/1507554
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610871/1507555
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610891/1507556
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610907/1507557
title: WHONDRS Raw Instrument Data
DOI: 10.5281/zenodo.2647429
title: 3-km high resolution model outputs using the WRF and WRF-Hydro model for HRB

description: Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Heihe river basin (HRB). Model results are used for investigating the effect of lateral terrestrial water flow on regional climate modeling. The analysis results were published in a peer-reviewed journal at https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD030174 Two experiments use the following model configuration: 3km horizontal resolution with 350*350 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Leibniz Supercomputing Center (LRZ) SuperMUC. Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrfout_selvar_P_ET_R_DRA" provides P, ET, surface runoff, drainage, and filename with "wrfout_selvar_T_Q2_SM_SH2O_AWS_CONV" provides T, specific humidity, soil moisture, and liquid water, atmosphere water storage and convergence. Tagged precipitation from upper HRB is also provided.
DOI: 10.5281/zenodo.2647430
title: 3-km high resolution model outputs using the WRF and WRF-Hydro model for HRB

description: Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Heihe river basin (HRB). Model results are used for investigating the effect of lateral terrestrial water flow on regional climate modeling. The analysis results were published in a peer-reviewed journal at https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2018JD030174 Two experiments use the following model configuration: 3km horizontal resolution with 350*350 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Leibniz Supercomputing Center (LRZ) SuperMUC. Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrfout_selvar_P_ET_R_DRA" provides P, ET, surface runoff, drainage, and filename with "wrfout_selvar_T_Q2_SM_SH2O_AWS_CONV" provides T, specific humidity, soil moisture, and liquid water, atmosphere water storage and convergence. Tagged precipitation from upper HRB is also provided.
DOI: 10.17632/dhjfv9n8d2.1
title: Data for: Platinum drugs in the Australian cancer chemotherapy healthcare setting: is it worthwhile for chemists to continue to develop platinums?

description: Summary of EviQ (Australian) chemotherapy protocols that recommend a platinum drug (Cisplatin, carboplatin, oxaliplatin).
DOI: 10.25582/data.2018-08.1610956/1507558
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610963/1507559
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610963/1507589
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610970/1507560
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610977/1507561
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610980/1507590
title: WHONDRS Raw Instrument Data
DOI: 10.25582/data.2018-08.1610981/1507562
title: WHONDRS Raw Instrument Data
DOI: 10.7910/dvn/yypmpx
title: Eat Stop Eat

description: Eat Stop Eat is a dieting revolution that could change the way that you look at losing weight. The key to this program is the concept of intermittent fasting. This means that you don’t have to restrict yourself from eating any foods, you don’t have to miss out on your favourite treats and you can still lose weight! The Eat Stop Eat program explains that you can lose weight by “taking a break” from eating for a specific period of time about 2-3 times per week. On the days that you are not fasting you will be able to eat whatever you want, within reason. You’ll be amazed at how quickly you get results with this system!The Eat Stop Eat program was created by Brad Pilon, who is an expert in health, weight loss and nutrition. He is from Burlington, Ontario which is a small suburb outside of Toronto. He has been passionate about fitness and bodybuilding since he was young and he got a degree in Applied Human Nutrition. He has worked for one of the top supplement companies in the world, which gave him access to a world of professional Bodybuilding.
DOI: 10.7910/dvn/yz3bex
title: Natural Synergy

description: Natural Synergy is the ultimate mind and body experience designed to tackle the root cause of 90% of diseases, illness, and health concerns. It’s based on the same ancient healing practices used in acupuncture, only much more and without the needles and expensive price! And because it’s simple, non-invasive and entirely natural, you don’t have to worry about the horrible side effects that often come from the pills often prescribed by doctors. The shocking part? The creator of this program was once a pharmacist herself… Until she had a first-hand experience with what she was handing out to hundreds of people. And that sparked the beginning of what is now known as Natural Synergy.Emily J. Park and Dr. Lin Xiaoxi are the creators of this program. Emily was a professional pharmacist for many years but it was only after she was diagnosed with an illness and prescribed the same prescription medications she handed out for years that her life took a turn. She winced at the idea of taking medication… The same medication she prescribed for hundreds of people. This eventually led her on a path towards self-discovery and it wasn’t long before she ended her pharmaceutical job and pursued the natural recovery. And that’s how Natural Synergy came about.
DOI: 10.17632/zvpbrwjy3w.1
title: Data for: Methane yield and lag correlate with bacterial community shift following bioplastic anaerobic co-digestion

description: Anaerobic co-digester methane data, along with the raw OTU counts
DOI: 10.21227/8q6d-r496
title: audio steganalysis dataset

description: This is a dataset for audio steganalysis.