cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6965946
title: seNorge/TXb: daily maximum temperature over Norway

description: seNorge_2018 is a collection of observational gridded datasets for the Norwegian mainland. This dataset contains the daily maximum temperature (TXb) fields for the 65-year time period 1957-2021. TXb is the maximum temperature consistent with TM/TN (yesterday at 18 UTC / today at 18 UTC). The grid spacing is 1 km. The data sources are: the Norwegian Meteorological Institute Climate Database, the Swedish Meteorological and Hydrological Institute Open Data API, the Finnish Meteorological Institute open data API and the European Climate Assessment & Dataset (www.ecad.eu). See also: https://github.com/metno/seNorge_docs/wiki/seNorge_2018
description: MET Norway open data are licensed under Norwegian Licence for Open Government Data (NLOD) or a Creative Commons Attribution 4.0 International License at your preference. Credit should be given to The Norwegian Meteorological institute, shortened "MET Norway", as the source of data. License https://www.met.no/en/free-meteorological-data/Licensing-and-crediting
DOI: 10.5281/zenodo.5139617
title: Investigating the conformal behaviour of SU(2) with one adjoint Dirac flavor --- data release

description: This dataset collects data and analysis results for non-perturbative lattice field theory calculations investigating the SU(2) gauge theory with one Dirac fermion in the adjoint representation. More detailed information is included in the file README_datapackage.md
description: AA has been financially supported by the European Union's Horizon 2020 research and innovation programme "Tips in SCQFT'' under the Marie Skłodowska-Curie grant agreement No. 791122. The work of EB has been funded by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, by the Japan Society for the Promotion of Science under award PE13578, and by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship "Reproducible analysis frameworks in Lattice Field Theory and STFC-enabled computational research in Wales " EP/V052489/1. The work of BL has been supported in part by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 813942 and by the UKRI STFC Consolidated Grant ST/P00055X/1. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Foundation Research Fellowship RF-2020-461\9. Numerical simulations have been performed on the SUNBIRD system in Swansea, part of the Supercomputing Wales project, which is part-funded by the ERDF via Welsh Government.
DOI: 10.5281/zenodo.5139618
title: Investigating the conformal behaviour of SU(2) with one adjoint Dirac flavor --- data release

description: This dataset collects data and analysis results for non-perturbative lattice field theory calculations investigating the SU(2) gauge theory with one Dirac fermion in the adjoint representation. More detailed information is included in the file README_datapackage.md
description: AA has been financially supported by the European Union's Horizon 2020 research and innovation programme "Tips in SCQFT'' under the Marie Skłodowska-Curie grant agreement No. 791122. The work of EB has been funded by the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government, by the Japan Society for the Promotion of Science under award PE13578, and by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship "Reproducible analysis frameworks in Lattice Field Theory and STFC-enabled computational research in Wales " EP/V052489/1. The work of BL has been supported in part by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme under grant agreement No 813942 and by the UKRI STFC Consolidated Grant ST/P00055X/1. The work of BL is further supported in part by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Foundation Research Fellowship RF-2020-461\9. Numerical simulations have been performed on the SUNBIRD system in Swansea, part of the Supercomputing Wales project, which is part-funded by the ERDF via Welsh Government.
DOI: 10.6084/m9.figshare.20238006
title: Full-body mobility data to validate inertial measurement unit algorithms in healthy and neurological cohorts

description: Gait and balance dysfunctions are common in neurological disorders and have a negative effect on the quality of life. Regularly quantifying these mobility limitations can be used to measure the disease progression and the effect of treatment. This information can be used to provide a more individualised treatment. Inertial measurement units (IMUs) can be utilized to quantify mobility in different contexts. However, algorithms are required to extract valuable parameters out of the raw IMU data. These algorithms need to be validated to make sure that they extract the features they should extract. This validation should be done per disease, since different mobility limitations or symptoms can influence the performance of an algorithm in different ways. Therefore, this dataset contains data from both healthy participants and patients with neurological diseases (Parkinson disease, stroke, multiple sclerosis, chronic low back pain). The full-body of 167 participants were measured with IMUs and an optical motion capture (reference) system. Participants performed multiple standardized mobility assessments and non-standardized activities of daily living.
DOI: 10.4121/13177388
title: Observations of cross-shore chenier dynamics in Demak, Indonesia: Measurement data

description: This dataset contains the observations of a single chenier along the coast of Demak, Indonesia between 28 November 2018 and 4 December 2018. It contains bathymetric profiles measured with a DGPS (DGPS.mat), offshore wave data measured with a WaveDroid wave buoy (WaveDroid.mat), nearshore water level and wave data measured with OSSI wave loggers (Wave_loggers.mat) and current velocities measured with an Acoustic Doppler Velocimeter (ADV.mat). The dataset accompanies the following publication: Tas, S.A.J.; Maren, D.S.v.; Reniers, A.J.H.M. Observations of Cross-Shore Chenier Dynamics in Demak, Indonesia. J. Mar. Sci. Eng. 2020, 8, 972. https://doi.org/10.3390/jmse8120972
DOI: 10.4121/13177388.v1
title: Observations of cross-shore chenier dynamics in Demak, Indonesia: Measurement data

description: This dataset contains the observations of a single chenier along the coast of Demak, Indonesia between 28 November 2018 and 4 December 2018. It contains bathymetric profiles measured with a DGPS (DGPS.mat), offshore wave data measured with a WaveDroid wave buoy (WaveDroid.mat), nearshore water level and wave data measured with OSSI wave loggers (Wave_loggers.mat) and current velocities measured with an Acoustic Doppler Velocimeter (ADV.mat). The dataset accompanies the following publication: Tas, S.A.J.; Maren, D.S.v.; Reniers, A.J.H.M. Observations of Cross-Shore Chenier Dynamics in Demak, Indonesia. J. Mar. Sci. Eng. 2020, 8, 972. https://doi.org/10.3390/jmse8120972
DOI: 10.5281/zenodo.7047422
title: Deciphering microbial gene function using natural language processing

description: Dataset for the support of a journal publication. The data include both computed models presented in the paper and all data used for analysis.
DOI: 10.5281/zenodo.7047423
title: Deciphering microbial gene function using natural language processing

description: Dataset for the support of a journal publication. The data include both computed models presented in the paper and all data used for analysis.
DOI: 10.5281/zenodo.7047944
title: Deciphering microbial gene function using natural language processing

description: Dataset for the support of a journal publication. The data include both computed models presented in the paper and all data used for analysis.
DOI: 10.34740/kaggle/dsv/4162586
title: AutoXGB
DOI: 10.5281/zenodo.6992175
title: Data underpinning "Local integrals of motion and the stability of many-body localisation in disorder-free systems"

description: Many-body localisation in disordered systems in one spatial dimension is typically understood in terms of the existence of an extensive number of (quasi)-local integrals of motion (LIOMs) which are thought to decay exponentially with distance and interact only weakly with one another. By contrast, little is known about the form of the integrals of motion in disorder-free systems which exhibit localisation. Here, we explicitly compute the LIOMs for disorder-free localised systems, focusing on the case of a linearly increasing potential. We show that while in the absence of interactions, the LIOMs decay faster than exponentially, the addition of interactions leads to the formation of a spatially extended plateau. We study how varying the linear slope affects the localisation properties of the LIOMs, finding that there is a significant finite-size dependence, and present evidence that adding a weak harmonic potential does not result in typical many-body localisation phenomenology. By contrast, the addition of disorder has a qualitatively different effect, dramatically modifying the properties of the LIOMs. Based on this, we speculate that disorder-free localisation is unlikely to be stable at long times and for large systems.
description: Dataset and metadata prepared by S J Thomson, using the PyFlow package (https://github.com/sjt48/PyFlow). Please direct all enquiries to SJT. The dataset contains a README file with details on how to use the data, as well as example Jupyter notebooks demonstrating how to plot various quantities.
DOI: 10.6084/m9.figshare.20932165
title: Source Data.xlsx

description: raw data used by research(<strong>Skeletal Muscle Mass is a Strong Predictor of Maximal Oxygen Uptake Among Obese People</strong>)
DOI: 10.6084/m9.figshare.18586076
title: Biomass data

description: genotyping row data in vcf format of 185 tetraploid wheat
DOI: 10.6084/m9.figshare.18586076.v2
title: Biomass data

description: genotyping row data in vcf format of 185 tetraploid wheat
DOI: 10.6084/m9.figshare.18586076.v1
title: Biomass data

description: genotyping row data in vcf format of 185 tetraploid wheat
DOI: 10.5281/zenodo.7049792
title: Data for double blind review

description: These files are shared for double blind review.
DOI: 10.5281/zenodo.7049791
title: Data for double blind review

description: These files are shared for double blind review.
DOI: 10.6084/m9.figshare.20260551.v1
title: Supplementary Material for: Mechanism of myopic defocus or atropine for myopia control: different or similar ways?

description: Abstract Introduction: Myopia is usually caused by excessive elongation of the eye during development. This condition is common worldwide. In clinical practice, the progression of myopia is commonly controlled through optical or drug measures, but the specific mechanisms underlying these two treatments remain unclear. To verify whether the effects of these two treatments on posterior-pole tissues are similar or different, we studied a set of common transcriptional changes in chicken models. Methods: Chicks were divided into four groups, and they were given the intervention measures of plus-lens induction, minus-lens induction, minus-lens induction with atropine injection, and minus-lens induction with saline injection. Then, the genetic changes in each tissue at the posterior pole were detected, and the results of different genes were compared. A semiquantitative real-time polymerase chain reaction (RT-PCR) method was used to further study the visually induced changes in the transcription of potential candidate genes. Results: Based on RNA-sequencing (RNA-seq) analysis of the transcriptome, we identified variations between the differentially expressed transcripts (DETs) in three tissues from the two treatment groups. Through Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, eukaryotic protein translation elongation factor 1α2 (EEF1A2) was enriched in the ‘leishmaniasis’ pathway in the choroid and showed increased expression in both the plus-lens induction and injection atropine groups. The expression levels of selected genes verified by qPCR were concordant with the RNA-seq data. Conclusions: Overlapping differentially expressed mRNAs of only one-tenth could suggest a different mechanism of myopic defocus and intravitreal injection of atropine controlling myopia. EEF1A2 might play an important role in the choroid during the treatment of myopia.
DOI: 10.6084/m9.figshare.20367282.v1
title: Supplementary Material for: Relationship between proton pump inhibitors and adverse effects in hemodialysis patients: a systematic review and meta-analysis

description: Background：Currently, the interaction between proton pump inhibitors (PPI) and their effects on hemodialysis (HD) patients has not been clarified. Here, we aimed to explore the association between PPI and adverse outcomes in HD patients. Methods：A search was performed on the PubMed, Embase, Cochrane Library, and Web of Science databases for relevant articles published up to April 10, 2022. Studies examining the association (odds ratio [OR]) between PPI and side effects were identified. The study followed guidelines prescribed in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), and was registered with PROSPERO (CRD42021291177). Results: A total of 12 studies comprising 4,227,497 HD patients with PPI were identified. Results showed that PPI use was associated with increased risk of bone fracture and hip fracture in the HD patients (pooled OR = 1.29, 95% CI = 1.21-1.37, p&lt;0.00001, I2=0%; pooled OR = 1.37, 95% CI = 1.12-1.67, p=0.002, I2=82%). Besides, HD patients who received PPI were more likely to develop hypomagnesemia compared with those who did not receive PPI (pooled OR = 2.79, 95% CI = 1.95-4.00, p&lt;0.00001, I2=0%). In addition, PPI use was linked to abdominal aortic calcification and all-cause mortality (pooled OR=2.03, 95% CI=1.28-3.24, p =0.003, I2=0%), (pooled OR = 1.44, 95% CI = 1.17-1.78, p = 0.0006, I2=0%). Conclusions: Taken together, the present results demonstrate that PPI use in HD patients is independently associated with adverse reactions such as hip fracture, hypomagnesemia, abdominal aortic calcification, and all-cause mortality. Thus, the use of PPI in HD patients should be carefully evaluated and optimized.
DOI: 10.5258/soton/d2338
title: Dataset to support the Southampton Doctoral Thesis 'Optimising local government policy for tackling childhood obesity'

description: This dataset contains transcriptions of semi-structured interviews conducted with local councillors to understand their views on local government accountability for tackling childhood obesity.
DOI: 10.5517/ccy3n2r
title: CCDC 867444: Experimental Crystal Structure Determination

description: Related Article: Cong-Yu Zuo, Zhi-Yong Lu, Jun-Feng Bai, Bai-Shu Zheng, Yi-Zhi LI|2012|Wuji Huaxue Xuebao|28|1799|
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.cc1lkfk4
title: CCDC 1476516: Experimental Crystal Structure Determination

description: Related Article: Hirihattaya Phetmung, Anitsara Nucharoen|2019|Polyhedron|173|114121|doi:10.1016/j.poly.2019.114121
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.cc21p23y
title: CCDC 1897079: Experimental Crystal Structure Determination

description: Related Article: Tadeusz  Lis|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.cc1pynq0
title: CCDC 1577643: Experimental Crystal Structure Determination

description: Related Article: Ziyue Sun, Yanxia Zhao, Timothy J. Prior, Mark R. J. Elsegood, Kuiyuan Wang, Tian Xing, Carl Redshaw|2019|Dalton Trans.|48|1454|doi:10.1039/C8DT04566F
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.cc20pjqz
title: CCDC 1867741: Experimental Crystal Structure Determination

description: Related Article: Dejan Premužić, Małgorzata Hołyńska, Andrew Ozarowski, Clemens Pietzonka, Alexander Roseborough, Sebastian A. Stoian|2020|Inorg.Chem.|59|10768|doi:10.1021/acs.inorgchem.0c01242
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.cc221sxv
title: CCDC 1908357: Experimental Crystal Structure Determination

description: Related Article: Garima Lal, Benjamin S. Gelfand, Jian-Bin Lin, Abhinandan Banerjee, Simon Trudel, George K. H. Shimizu|2019|Inorg.Chem.|58|9874|doi:10.1021/acs.inorgchem.9b00997
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.cc1p3pdw
title: CCDC 1552678: Experimental Crystal Structure Determination

description: Related Article: Maheshkumar K. Patel, U.H. Patel, Sahaj A. Gandhi, V.M. Barot, Jatin Jayswal|2019|J.Mol.Struct.|1196|119|doi:10.1016/j.molstruc.2019.06.050
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.cc21djrr
title: CCDC 1888884: Experimental Crystal Structure Determination

description: Related Article: Ke Wang, Yuzan He, Yanxin Zhao, Pengtao Ma, Jingping Wang|2019|J.Mol.Struct.|1195|184|doi:10.1016/j.molstruc.2019.05.130
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.cc232s77
title: CCDC 1939088: Experimental Crystal Structure Determination

description: Related Article: Hui Liu, Zhifen Guo, Hui Lv, Xin Liu, Yan Che, Yingchun Mei, Rong Bai, Yanhong Chi, Hongzhu Xing|2020|Inorg.Chem.Front.|7|1016|doi:10.1039/C9QI01396B
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.cc21ztf9
title: CCDC 1906451: Experimental Crystal Structure Determination

description: Related Article: Zhi-Yuan Yao, Yin Qian, Qiu Ren, Guo-Qin Zhang, Jin Zhang, Wen-Long Liu, Hong-Bin Luo, Xiao-Ming Ren|2019|J.Mater.Chem.C|7|13243|doi:10.1039/C9TC04911H
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.cc25ry30
title: CCDC 2019002: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, M. R. J. Elsegood|2020|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.cc223yms
title: CCDC 1910425: Experimental Crystal Structure Determination

description: Related Article: Otega A. Ejegbavwo,  Corey R. Martin,  Oyindamola A. Olorunfemi,  Gabrielle A. Leith,  Richard T. Ly,  Allison M. Rice,  Ekaterina A. Dolgopolova,  Mark D. Smith,  Stavros G. Karakalos,  Nancy Birkner,  Brian A. Powell,  Shubham Pandey,  Robert J. Koch,  Scott T. Misture,  Hans-Conrad zur Loye,  Simon R. Phillpot,  Kyle S. Brinkman,  Natalia B. Shustova|2019|J.Am.Chem.Soc.|141|11628|doi:10.1021/jacs.9b04737
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.cc23tjvb
title: CCDC 1960962: Experimental Crystal Structure Determination

description: Related Article: Ilya A. Yakushev, Igor P. Stolarov, Natalia V. Cherkashina, Andrei V. Churakov, Yan V. Zubavichus, Alexander A. Markov, Alexander E. Gekhman, Michael N. Vargaftik|2020|Inorg.Chim.Acta|508|119631|doi:10.1016/j.ica.2020.119631
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.cc23tjyf
title: CCDC 1960965: Experimental Crystal Structure Determination

description: Related Article: Ilya A. Yakushev, Igor P. Stolarov, Natalia V. Cherkashina, Andrei V. Churakov, Yan V. Zubavichus, Alexander A. Markov, Alexander E. Gekhman, Michael N. Vargaftik|2020|Inorg.Chim.Acta|508|119631|doi:10.1016/j.ica.2020.119631
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.