cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20940h
title: CCDC 1855815: Experimental Crystal Structure Determination

description: Related Article: Rama Rao Tata, Chencheng Fu, Steven P. Kelley, Michael Harmata|2018|Org.Lett.|20|5723|doi:10.1021/acs.orglett.8b02440
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.cc1zgkkk
title: CCDC 1831249: Experimental Crystal Structure Determination

description: Related Article: Guojie Zhang, Ya Chen, Longyu Liao, Huanchang Lu, Zhenqi Zhang, Qing Ma, Hongwei Yang, Guijuan Fan|2018|Dalton Trans.|47|13391|doi:10.1039/C8DT01760C
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.cc1zgkll
title: CCDC 1831250: Experimental Crystal Structure Determination

description: Related Article: Guojie Zhang, Ya Chen, Longyu Liao, Huanchang Lu, Zhenqi Zhang, Qing Ma, Hongwei Yang, Guijuan Fan|2018|Dalton Trans.|47|13391|doi:10.1039/C8DT01760C
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.cc20bsfl
title: CCDC 1857409: Experimental Crystal Structure Determination

description: Related Article: Jia-Peng Cao, Chen-Hui Cui, Xi-Ming Luo, Ning-Fang Li, Yi Xu, Yan Xu|2018|Inorg.Chim.Acta|483|544|doi:10.1016/j.ica.2018.09.005
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.cc20btmt
title: CCDC 1857446: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc20btnv
title: CCDC 1857447: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc20btpw
title: CCDC 1857448: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc20btqx
title: CCDC 1857449: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc20btry
title: CCDC 1857450: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc1zgkhh
title: CCDC 1831247: Experimental Crystal Structure Determination

description: Related Article: Guojie Zhang, Ya Chen, Longyu Liao, Huanchang Lu, Zhenqi Zhang, Qing Ma, Hongwei Yang, Guijuan Fan|2018|Dalton Trans.|47|13391|doi:10.1039/C8DT01760C
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.cc20btt0
title: CCDC 1857452: Experimental Crystal Structure Determination

description: Related Article: Siyuan Liu,  Marc-André Légaré,  Alexander Hofmann,  Holger Braunschweig|2018|J.Am.Chem.Soc.|140|11223|doi:10.1021/jacs.8b07829
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.cc20c20h
title: CCDC 1857675: Experimental Crystal Structure Determination

description: Related Article: Kazuhiro Watanabe, Tsukasa Hamada, Katsuhiko Moriyama|2018|Org.Lett.|20|5803|doi:10.1021/acs.orglett.8b02488
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: 10.17036/researchdata.aston.ac.uk.00000375
title: Data underpinning article "A C-terminal cysteine residue is required for peptide-based inhibition of the NGF/TrkA interaction at nM concentrations: implications for peptide-based analgesics."
DOI: 10.17632/kkrshgd8ms.1
title: Data for: Leveraging social media news to predict stock index movement using RNN-Boost

description: This dataset is the news used for predicting Chinese Stock Index from 1 Jan 2015 to 14 Feb 2017. The dataset is used in paper: Chen, Weiling, Chai Kiat Yeo, Chiew Tong Lau, and Bu Sung Lee. “Leveraging social media news to predict stock index movement using RNN-Boost.” submitted to Data & Knowledge Engineering. training.csv includes all the news we have collected from the official accounts of Sina Weibo for prediction of CSI. mid indicates the unique id of the Weibo and uid indicates the user id of the author. It is very easy to get the full content of the Weibo using the api provided by Sina: http://open.weibo.com/wiki/2/statuses/show
DOI: 10.5281/zenodo.1305885
title: Urbane Feldforschung: Pashto

description: "Urbane Feldforschung" ist ein Projekt des Instituts für deutsche Sprache und Linguistik der Humboldt-Universität zu Berlin. Es fand im Sommersemster 2018 im Rahmen eines gleichnamigen Masterseminars unter der Leitung von Dr. Frank Seifart statt. Inhalt des Projekts war die Dokumentation kleiner Sprachen in Berlin. Dabei wurden sowohl Wortlisten erhoben als auch spezifische grammatische Phänomene der einzelnen Sprachen durch Elizitation näher untersucht. Die im Rahmen des Projekts dokumentierten Sprachen sind: Dazaga, Akan, Kirgisisch, Georgisch und Pashto.

Das Teilprojekt Pashto widmet sich der zentralen Variante der pashtunischen Sprache. Im Rahmen des Teilprojekts wurden zwei Aufnahmen angefertigt: Eine Wortliste (40 ASJP-Wörter aus der Swadesh-Liste) und eine Elizitation zur Adjektivkomparation.
DOI: 10.5281/zenodo.1305886
title: Urbane Feldforschung: Pashto

description: "Urbane Feldforschung" ist ein Projekt des Instituts für deutsche Sprache und Linguistik der Humboldt-Universität zu Berlin. Es fand im Sommersemster 2018 im Rahmen eines gleichnamigen Masterseminars unter der Leitung von Dr. Frank Seifart statt. Inhalt des Projekts war die Dokumentation kleiner Sprachen in Berlin. Dabei wurden sowohl Wortlisten erhoben als auch spezifische grammatische Phänomene der einzelnen Sprachen durch Elizitation näher untersucht. Die im Rahmen des Projekts dokumentierten Sprachen sind: Dazaga, Akan, Kirgisisch, Georgisch und Pashto.

Das Teilprojekt Pashto widmet sich der zentralen Variante der pashtunischen Sprache. Im Rahmen des Teilprojekts wurden zwei Aufnahmen angefertigt: Eine Wortliste (40 ASJP-Wörter aus der Swadesh-Liste) und eine Elizitation zur Adjektivkomparation.
DOI: 10.5281/zenodo.1409113
title: Blood Vessels Dataset Obtained From Retina Images Of Healthy And Diabetic Retinopathy Individual

description: This dataset contains blood vessels image files extracted from publicly available fundus retina images
description: {"references": ["Zhu, C., Zou, B., Zhao, R., Cui, J., Duan, X., Chen, Z., & Liang, Y. (2017). Retinal Vessel Segmentation in Colour Fundus Images using Extreme Learning Machine. Computerized Medical Imaging and Graphics, 55, 68\u201377. https://doi.org/10.1016/j.compmedimag.2016.05.004", "Li, X., & Wee, W. G. (2014). Retinal vessel detection and measurement for computer-aided medical diagnosis. Journal of Digital Imaging, 27(1), 120\u2013132. https://doi.org/10.1007/s10278-013-9639-y"]}
DOI: 10.5281/zenodo.1409114
title: Blood Vessels Dataset Obtained From Retina Images Of Healthy And Diabetic Retinopathy Individual

description: This dataset contains blood vessels image files extracted from publicly available fundus retina images
description: {"references": ["Zhu, C., Zou, B., Zhao, R., Cui, J., Duan, X., Chen, Z., & Liang, Y. (2017). Retinal Vessel Segmentation in Colour Fundus Images using Extreme Learning Machine. Computerized Medical Imaging and Graphics, 55, 68\u201377. https://doi.org/10.1016/j.compmedimag.2016.05.004", "Li, X., & Wee, W. G. (2014). Retinal vessel detection and measurement for computer-aided medical diagnosis. Journal of Digital Imaging, 27(1), 120\u2013132. https://doi.org/10.1007/s10278-013-9639-y"]}
DOI: 10.5281/zenodo.1409808
title: Patterns Of Reduced Cortical Thickness And Striatum Pathological Morphology In Cocaine Addiction

description: This dataset includes all the data and scripts needed to reproduce the analysis and results on the manuscript "Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction" (link). The brain data is not raw, as T1w were not defaced. We will do so in the near future for version 2.0. Instead we include only the "output/thickness" files used in the final analysis. For the use of raw T1w images, please contact the main author EAGV.

 

Note: Paths will differ in the script.
description: {"references": ["Eduardo A. Garza-Villarreal, Ruth Alcala, Thania Balducci, Diego Angeles-Valdez, Mallar Chakravarty, Gabriel A. Devenyi, Jorge J. Gonzalez-Olvera. Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction. bioRxiv 306068; doi: https://doi.org/10.1101/306068"]}
DOI: 10.5281/zenodo.1409807
title: Patterns Of Reduced Cortical Thickness And Striatum Pathological Morphology In Cocaine Addiction

description: This dataset includes all the data and scripts needed to reproduce the analysis and results on the manuscript "Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction" (link). The brain data is not raw, as T1w were not defaced. We will do so in the near future for version 2.0. Instead we include only the "output/thickness" files used in the final analysis. For the use of raw T1w images, please contact the main author EAGV.

 

Note: Paths will differ in the script.
description: {"references": ["Eduardo A. Garza-Villarreal, Ruth Alcala, Thania Balducci, Diego Angeles-Valdez, Mallar Chakravarty, Gabriel A. Devenyi, Jorge J. Gonzalez-Olvera. Patterns of reduced cortical thickness and striatum pathological morphology in cocaine addiction. bioRxiv 306068; doi: https://doi.org/10.1101/306068"]}
DOI: 10.5525/gla.researchdata.664
title: Mathematical models for stable matching problems with ties and incomplete lists

description: We present new integer linear programming (ILP) models for NPhard optimisation problems in instances of the Stable Marriage problem with Ties and Incomplete lists (SMTI) and its many-to-one generalisation, the Hospitals / Residents problem with Ties (HRT). These models can be used to eciently solve these optimisation problems when applied to (i)instances derived from real-world applications, and (ii) larger instancesthat are randomly-generated. In the case of SMTI, we consider instancesarising from the assignment of children to adoptive families, wherepreferences are obtained from a quality measure of each possibleassignment of child to family. In this case we seek a maximum weightstable matching. We present new theory and algorithms for preprocessinginstances of SMTI with ties on both sides, as well as new ILP models.Algorithms based on existing state-of-the-art models only solve 6 of our22 real-world instances within an hour per instance, and our new modelssolve all 22 instances within a mean runtime of 60 seconds. For HRT, weconsider instances derived from the problem of assigning junior doctorsto foundation posts in Scottish hospitals. Here we seek a maximum sizestable matching. We show how to extend our models for SMTI to the HRTcase. For the real instances, we reduce the mean runtime from an averageof 144 seconds when using state-of-the-art methods, to 3 seconds whenusing our new ILP-based algorithms. We also show that our modelsconsiderably outperform state-of-the-art models on larger randomlygeneratedinstances of SMTI and HRT.
DOI: 10.5281/zenodo.1342305
title: Condo

description: Initial public release of the Condo dataset for codon optimization detection.
DOI: 10.5281/zenodo.1342306
title: Condo

description: Initial public release of the Condo dataset for codon optimization detection.
DOI: 10.5281/zenodo.1410053
title: Build Up Index - ERA-Interim

description: The Build Up Index (BUI) is a numeric rating of the total amount of fuel available for combustion. It combines the DMC and the DC.

This is part of a larger dataset providing gridded field calculations from the Canadian Fire Weather Index System using weather forcings from the European Centre for Medium-range Weather Forecast (ECMWF) ERA-Interim reanalysis dataset (Vitolo et al., 2019). The dataset has been developed through a collaboration between the Joint Research Centre and ECMWF under the umbrella of the Global Wildfires Information System (GWIS), a joint initiative of the GEO and the Copernicus Work Programs. The whole dataset consists of seven indices, each of which describes a different aspect of the effect that  fuel moisture and wind have on fire ignition probability and its behavior, if started. The indices are called: Fine Fuel Moisture Code (FFMC), Duff Moisture Code (DMC), Drought Code (DC), Initial Spread Index (ISI), Build Up Index (BUI), Fire Weather Index (FWI) and Daily Severity Rating (DSR). For convenience, each index is archived separately.

This dataset can be manipulated using the caliver R package (Vitolo et al. 2017, 2018).

Details:


	
	File format: netcdf4
	
	
	Coordinate system: World Geodetic System 1984 (also known as WGS 1984, EPSG:4326).
	
	
	Longitude range: [-180, +180]
	
	
	Temporal resolution: 1 day
	
	
	Spatial resolution: 0.7 degrees (~80 Km)
	
	
	Spatial coverage: Global
	
	
	Time span: from 1980-01-01 to 2018-06-30
description: Contract 933710 between JRC and ECMWF (Copernicus - Fire Danger Forecast Computation)
description: {"references": ["Di Giuseppe, F., Pappenberger, F., Wetterhall, F., Krzeminski, B., Camia, A., Libert\u00e1, G. and San Miguel, J., 2016. The potential predictability of fire danger provided by numerical weather prediction. Journal of Applied Meteorology and Climatology, 55(11), pp.2469-2491. DOI: https://doi.org/10.1175/JAMC-D-15-0297.1", "Vitolo C., Di Giuseppe F., D'Andrea M., 2018. Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLoS ONE 13(1): e0189419. https://doi.org/10.1371/journal.pone.0189419", "Vitolo C., Di Giuseppe F., D'Andrea M., 2017. caliver R package version 1.0. URL: https://github.com/ecmwf/caliver, DOI: https://doi.org/10.5281/zenodo.582416."]}
DOI: 10.5281/zenodo.1410439
title: Reformatted Data Analyzed In Alamil Et Al. (2018)

description: Reformatted data analyzed in Alamil et al. (2018; Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases). Three datasets are provided concerning swine influenza virus (reformatted from Murcia et al., 2012), Ebola (reformatted from Gire et al., 2014) and wild salsify potyvirus. rds files can be loaded in the R statistical software with the command readRDS(filename), which returns a list. The list contains a "readme" item describing the contents of the list.

Murcia PR, Hughes J, Battista P, Lloyd L, Baillie GJ, Ramirez-Gonzalez RH, et al. Evolution of an Eurasian avian-like influenza virus in naive and vaccinated pigs. PLoS Pathogens. 2012;8(5):e1002730.

Gire SK, Goba A, Andersen KG, Sealfon RS, Park DJ, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014;345:1369–1372
description: {"references": ["Alamil M, Hughes J., Berthier K, Desbiez C, Th\u00e9baud G Soubeyrand S (2018) Inferring epidemiological links from deep sequencing data: a statistical learning approach for human, animal and plant diseases. Technical Report, BioSP, INRA, Avignon.", "Murcia PR, Hughes J, Battista P, Lloyd L, Baillie GJ, Ramirez-Gonzalez RH, et al. Evolution of an Eurasian avian-like influenza virus in naive and vaccinated pigs. PLoS Pathogens. 2012;8(5):e1002730.", "Gire SK, Goba A, Andersen KG, Sealfon RS, Park DJ, Kanneh L, et al. Genomic surveillance elucidates Ebola virus origin and transmission during the 2014 outbreak. Science. 2014;345:1369\u20131372"]}
DOI: 10.17638/datacat.liverpool.ac.uk/531
title: Experimental evidence for sustained carbon sequestration in fire-managed peat moorlands
DOI: 10.5061/dryad.16kk001/1
title: S1 Data base

description: Database with 15539 geographical records
DOI: 10.5281/zenodo.1408841
title: Bovine Tuberculosis Model For England And Wales (Botmew) Including Model Description.

description: This model is a research tool, which has been released to allow confirmation of model outputs referred to by a paper published in BMC Veterinary Research https://rdcu.be/5NcV. Outputs are only suitable for evaluating the behaviour of the model. The model is not recommended for any other use. Although the overall distribution of cattle herds represents cattle herds in England and Wales during 2008-2010, all individual herd identities are fictional.

This dataset has been made available under an Open Government License 3.0. The model uses open access code libraries under licenses that are provided in the file "license.txt".

This is the bovine tuberculosis model for England and Wales (BoTMEW), including a model description, and a zip file to download, including executable, parameter and set up files for baseline simulations 2008 - 2022.

The model simulates bovine tuberculosis throughout England and Wales at the resolution of individual farms and infected cattle. However, this version is anonymized below county level, so it can only generate outputs at county resolution.

The model set up includes a complete anonymized listing of cattle movements to match the model for 2008 - 2010.

Full details of the model specification and set up are presented in the document "ModelDescriptionv5.6.pdf", in the most recent version of this upload.

The zip includes actual outputs from 10 replicate simulations of the baseline model setup. It also includes a .ods workbook at its top level, which demonstrates how model fit in 2010 was calculated using those outputs.
description: Funded by the Department for Environment, Food and Rural Affairs (Defra) under project codes SE3122 and SB4500.
The model executable uses code libraries made available for open use under licenses that are listed in the file license.txt.
description: {"references": ["[1] Birch CPD, Goddard A, Tearne O. A new bovine tuberculosis model for England and Wales (BoTMEW) to simulate epidemiology, surveillance and control. BMC Vet Res. 2018;14:273. https://rdcu.be/5NcV"]}
DOI: 10.5517/ccdc.csd.cc1yy478
title: CCDC 1815460: Experimental Crystal Structure Determination

description: Related Article: Ai-Xiang Tian, Meng-Le Yang, Na Sun, Yu-Bo Fu, Jun Ying|2018|Polyhedron|155|337|doi:10.1016/j.poly.2018.08.065
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.cc204g7w
title: CCDC 1851327: Experimental Crystal Structure Determination

description: Related Article: Yuan-Chun He, Yang Yu, Lingyan Wang, Jiaqin Yang, Wei-Qiu Kan, Yan Yang, Yao-Yao Fan, Zhihong Jing, Jinmao You|2018|CrystEngComm|20|5576|doi:10.1039/C8CE01039K
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.cc20d1hz
title: CCDC 1858620: Experimental Crystal Structure Determination

description: Related Article: Rama Rao Tata, Chencheng Fu, Steven P. Kelley, Michael Harmata|2018|Org.Lett.|20|5723|doi:10.1021/acs.orglett.8b02440
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.