cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fchgs
title: CCDC 2245375: Experimental Crystal Structure Determination

description: Related Article: Samina Easmin, Venkateswara Rao Pedireddi|2023|ACS Omega|8|23202|doi:10.1021/acsomega.3c03446
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.cc2fchht
title: CCDC 2245376: Experimental Crystal Structure Determination

description: Related Article: Samina Easmin, Venkateswara Rao Pedireddi|2023|ACS Omega|8|23202|doi:10.1021/acsomega.3c03446
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.cc2flcfv
title: CCDC 2251977: Experimental Crystal Structure Determination

description: Related Article: Chunling Zeng, Shitang Xu, Zhenlong Yin, Yue Cui, Xinhua Xu, Ningbo Li|2023|ACS Omega|8|23130|doi:10.1021/acsomega.3c02548
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.cc2ftdc1
title: CCDC 2258733: Experimental Crystal Structure Determination

description: Related Article: Chanwoo Park, Heenang Choi, Ga Yeon Lee, Bo Keun Park, Taek-Mo Chung|2023|ACS Omega|8|22783|doi:10.1021/acsomega.3c01697
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: 10.5281/zenodo.8140051
title: Dataset 1 - Fabrication of POFBG sensors

description: The data demonstrate the methodology to fabricate Polymer Optical Fiber Bragg Grating sensors using the plane-by-plane femtosecond laser inscription method.
DOI: 10.5281/zenodo.8140050
title: Dataset 1 - Fabrication of POFBG sensors

description: The data demonstrate the methodology to fabricate Polymer Optical Fiber Bragg Grating sensors using the plane-by-plane femtosecond laser inscription method.
DOI: 10.5061/dryad.1n6c4
title: Data from: Association of low-density lipoprotein cholesterol within the normal range and NAFLD in the non-obese Chinese population: a cross-sectional and longitudinal study

description: OBJECTIVES: The relationship between normal low-density lipoprotein cholesterol (LDL-c) levels and nonalcoholic fatty liver disease (NAFLD) in non-obese subjects remains unclear. We aimed to investigate the precise prevalence and incidence of NAFLD within the normal LDL-c range in non-obese subjects. Design: Cross-sectional and longitudinal study. Setting: Wenzhou Medical Center of Wenzhou People’s Hospital from 2010 to 2014. Participants: 183903 non-obese individuals were enrolled from a cross-sectional population and a total of 16173 initially NAFLD-free non-obese subjects were included who completed a 5-year follow-up examination in the longitudinal population. RESULTS: In our study, NAFLD was defined by ultrasonographic detection of steatosis in the absence of other liver disease. The cross-sectional study showed that at baseline, the prevalence of NAFLD was 13.9% in non-obese subjects with normal LDL-c levels. The prospective study demonstrated that NAFLD-free subjects developed NAFLD during the 5-year follow-up period, with a cumulative incidence of 14.4%. In addition, the OR for NAFLD in the cross-sectional population were 1.11(95%CI 1.04-1.18), 1.37 (95%CI 1.27-1.47), and 1.56 (95%CI 1.43-1.69), respectively, after adjusting for known confounding variables. The HR for NAFLD in the longitudinal population were 1.15 (95%CI 0.98-1.36), 1.32 (95%CI 1.10-1.58) and 1.82 (95%CI 1.47-2.52), compared with Q1. Subjects with higher LDL-c level within the normal range had an increased cumulative incidence rate of NAFLD in non-obese subjects. CONCLUSIONS: NAFLD is prevalent in the non-obese Chinese population. Furthermore, this is the first study to demonstrate that increased normal LDL-c levels are independently associated with an elevated risk of NAFLD in non-obese subjects.
description: LDL-c and NAFLD in the non-obese populationdata about NAFLD within the normal LDL-c range in non-obese subjects in cross-sectional and longitudinal population from 2010 to 2014.data.zip
DOI: 10.57830/2299272
title: Wetlands Ecological Integrity (WEI) Discrete Water Quality Logger Data Package, 2007-2022, for Florissant Fossil Beds National Monument, Glacier National Park, Great Sand Dunes National Park, and Rocky Mountain National Park.

description: Wetlands Ecological Integrity Discrete Water Quality Logger data from 2007-2022 for Florissant Fossil Beds National Monument, Glacier National Park, Great Sand Dunes National Park, and Rocky Mountain National Park.
DOI: 10.6084/m9.figshare.23669223
title: database_rr_gral.txt

description: Trio families of animals (sire, dam, and offspring) with genotype information and with more than 110 thousand SNP markers per animal were selected. Data, phenotypes, and genotypes were provided of the Holstein Association of Mexico. The database contained information of 652 animals grouped into 298 trios.
DOI: 10.6084/m9.figshare.23669223.v1
title: database_rr_gral.txt

description: Trio families of animals (sire, dam, and offspring) with genotype information and with more than 110 thousand SNP markers per animal were selected. Data, phenotypes, and genotypes were provided of the Holstein Association of Mexico. The database contained information of 652 animals grouped into 298 trios.
DOI: 10.5061/dryad.44j0zpcff
title: Nitrogen addition increases aboveground silicon and phytolith concentrations in understory plants of a tropical forest

description: Purpose: Silicon (Si) is a beneficial element for plants and plays important roles in the biogeochemical cycle of mineral elements. Yet, few studies have focused on the impact of nitrogen (N) deposition on plant Si uptake and the Si biocycle. Methods: We designed an experiment dealing with canopy and understory N addition in a tropical forest to comprehensively assess the response of Si cycle to N addition focusing on understory plants and topsoil. After six years of treatment, we compared the effects of different treatments on the concentrations of Si-related variables in the leaves of dominant understory species, and topsoil. The foliar elemental stoichiometry, plant water-use efficiency, and soil properties were also assessed to explore potential mechanisms underpinning an N-regulated biological feedback loop of Si. Results: The concentrations of SiO2 and phytolith in the leaves of the understory plants increased under N addition, while those of phytolith and plant-available Si in the topsoil were not altered. The significant accumulation of Si in the leaves and the unaltered plant-available Si concentrations in the soil were associated with enhanced plant Si uptake and decreased soil phytolith return due to increased phosphorus (P) limitation, soil acidification, and decreased leaf C:N ratios caused by N addition. Conclusion: Our findings suggest that N addition affected plant phytolith production and its coupling with the Si biocycle in the forest which may stimulate plant Si accumulation and decrease soil Si return. Nitrogen enrichment will alter the biological Si cycle in forest ecosystems at regional and global scales.
DOI: 10.5281/zenodo.8139156
title: Dataset for the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects"

description: Datasets to accompany the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects". Written by J. Elgy, P. D. Ledger, J. L. Davidson, T. Özdeğer and A. J. Peyton. The article has been submitted to "Engineering Computations" (2023). The datasets include data files, meshes, and code for recreating the results from the paper. This requires the open source MPT-Calculator software available at https://github.com/MPT-Calculator/MPT-Calculator (InitialRelease branch). The datasets also include measurement data for real world objects courtesy of The University of Manchester. J. Elgy and P. D. Ledger gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1.<br> J. L. Davidson and A. J. Peyton are grateful for the financial support received from an Innovate UK Grant (reference number 39814).<br> T. Özdeğer and A. J. Peyton are grateful for the financial support received from EPSRC, U.K. through the research grant EP/R002177/1.
description: Funded by EPSRC grants EP/V009028/1 (J. Elgy and P. D. Ledger) and EP/R002177/1 (T. Özdeğer and A. J. Peyton) and through an Innovate UK Grant (reference number 39814) (J.L. Davidson and A.J. Peyton).
DOI: 10.5281/zenodo.8139157
title: Dataset for the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects"

description: Datasets to accompany the article "Computations and Measurements of the Magnetic Polarizability Tensor Characterisation of Highly Conducting and Magnetic Objects". Written by J. Elgy, P. D. Ledger, J. L. Davidson, T. Özdeğer and A. J. Peyton. The article has been submitted to "Engineering Computations" (2023). The datasets include data files, meshes, and code for recreating the results from the paper. This requires the open source MPT-Calculator software available at https://github.com/MPT-Calculator/MPT-Calculator (InitialRelease branch). The datasets also include measurement data for real world objects courtesy of The University of Manchester. J. Elgy and P. D. Ledger gratefully acknowledge the financial support received from EPSRC in the form of grant EP/V009028/1.<br> J. L. Davidson and A. J. Peyton are grateful for the financial support received from an Innovate UK Grant (reference number 39814).<br> T. Özdeğer and A. J. Peyton are grateful for the financial support received from EPSRC, U.K. through the research grant EP/R002177/1.
description: Funded by EPSRC grants EP/V009028/1 (J. Elgy and P. D. Ledger) and EP/R002177/1 (T. Özdeğer and A. J. Peyton) and through an Innovate UK Grant (reference number 39814) (J.L. Davidson and A.J. Peyton).
DOI: 10.25345/c5k35mq50
title: MassIVE MSV000092420 - Distinct states of nucleolar stress induced by anti-cancer drugs
title: Phospho-proteome analysis of RPE1 cells treated with or without flavopiridol or AZD4573
DOI: 10.17909/7an2-2m33
title: Comprehensive study of WASP-121b with HST.

description: Data for Changeat et al. 2023
DOI: 10.6084/m9.figshare.23669232
title: mriModalityClassification.h5

description: weights mri classification pytorch <br>
DOI: 10.6084/m9.figshare.23669232.v1
title: mriModalityClassification.h5

description: weights mri classification pytorch <br>
DOI: 10.6084/m9.figshare.23669292
title: Figure S4

description: Behavior of sham and prepubertal castrated male mice during photometry observations with non-aggressive and aggressive target mice.
DOI: 10.6084/m9.figshare.23669292.v1
title: Figure S4

description: Behavior of sham and prepubertal castrated male mice during photometry observations with non-aggressive and aggressive target mice.
DOI: 10.5281/zenodo.7829488
title: Learning a quantum computer's capability using convolutional neural networks

description: This is supplemental data and code for: D. Hothem et al., <em>Learning a quantum computer's capability using convolutional neural networks, </em>(to be published). This folder contains all the data and the analysis code to generate the results presented in that paper. The core data analysis routines use PyGSTi, which can be found at https://github.com/pyGSTio/pyGSTi. Please direct any questions to Daniel Hothem (dhothem@sandia.gov). NOTE: This description template was borrowed from Timothy Proctor's Zenodo entry for: Scalable Randomized Benchmarking of Quantum Computers using Mirror Circuits.
description: SAND2023-02004O SAND2023-01819O
DOI: 10.5281/zenodo.7829489
title: Learning a quantum computer's capability using convolutional neural networks

description: This is supplemental data and code for: D. Hothem et al., <em>Learning a quantum computer's capability using convolutional neural networks, </em>(to be published). This folder contains all the data and the analysis code to generate the results presented in that paper. The core data analysis routines use PyGSTi, which can be found at https://github.com/pyGSTio/pyGSTi. Please direct any questions to Daniel Hothem (dhothem@sandia.gov). NOTE: This description template was borrowed from Timothy Proctor's Zenodo entry for: Scalable Randomized Benchmarking of Quantum Computers using Mirror Circuits.
description: SAND2023-02004O SAND2023-01819O
DOI: 10.25345/c5fb4wx1v
title: MassIVE MSV000092421 - 20230710_Cope_Serum_Positive_Mode_RPC18
title: Serum samples from mice were extracted using a PhreeKit extraction method with methanol and water. These samples were subjected to mass spectrometry on a Q exactive HF. This was investigating a WT vs Alzheimers model system over time.
DOI: 10.5519/qd.vlp1cxwo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5281/zenodo.8129223
title: Data on wound cord impressions in Neolithic pottery from Latvia (Dviete, Munči, Nainiekste, Riņņukalns)

description: Full dataset for 37 sample sherds from a published study of wound cord decoration on Middle Neolithic (4th mill. BC) pottery from Latvia, together with reflectance transformation images. Prepared as part of the Latvian Council of Science project “Skills in synergy, crafts in context: an integrated study of eastern Baltic Stone Age technologies” (lzp-2021/1-0119).
DOI: 10.5281/zenodo.8129222
title: Data on wound cord impressions in Neolithic pottery from Latvia (Dviete, Munči, Nainiekste, Riņņukalns)

description: Full dataset for 37 sample sherds from a published study of wound cord decoration on Middle Neolithic (4th mill. BC) pottery from Latvia, together with reflectance transformation images. Prepared as part of the Latvian Council of Science project “Skills in synergy, crafts in context: an integrated study of eastern Baltic Stone Age technologies” (lzp-2021/1-0119).
DOI: 10.5281/zenodo.7963070
title: AMYPAD PNHS - Integrated dataset (Harmonized and Derived) v202306

description: <strong>Description:</strong> The Amyloid Imaging to Prevent Alzheimer’s Disease (AMYPAD) Prognostic and Natural History Study (PNHS) is an open-label, prospective, multicentre, cohort study linked to a variety of European Parent Cohorts. AMYPAD PNHS aims to improve disease modelling efforts and individualized risk stratification within the context of Alzheimer's disease, by the additional collection of amyloid burden, measured by positron emission tomography (PET) imaging. The current version of the AMYPAD PNHS dataset integrates information from 10 Parent Cohorts: ALFA+, AMYPAD DPMS, DELCODE, EMIF-AD (60++), EMIF-AD (90+), EPAD LCS, FACEHBI, FPACK, Microbiota, and UCL-2010-412. This dataset includes a total of 3368 participants. Of them, 1620 underwent a baseline amyloid PET that includes the visual read and the Centiloid quantification (1476 subjects), among other metrics. Moreover, 888 participants have (at least) one follow-up PET scan, 763 of them with Centiloid quantification. The participant's clinical outcomes (e.g., cognition), disease (imaging) biomarkers, risk factors (e.g., genetics and environmental), and other relevant variables are included in the dataset. <strong>Data Access Request:</strong> Those researchers interested in using the integrated AMYPAD PNHS dataset can request access to the imaging, clinical, and biomarker data for scientific research investigation and/or educational activities. The application can be performed via the FAIR Data Service of the Alzheimer’s Disease Data Initiative (ADDI). <em>Direct link: </em>https://fair.addi.ad-datainitiative.org/#/data/datasets/amypad_pnhs__harmonised_and_derived__v202306 Further details can be found in the AMYPAD PNHS Data Access Request documentation. <strong>Note:</strong> This version of the dataset includes only the 'harmonised' and 'derived' set of variables (further details can be found in the AMYPAD PNHS Data Access Request documentation.
description: AMYPAD PNHS is registered at www.clinicaltrialsregister.eu with the EudraCT Number: 2018-002277-22. The AMYPAD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115952. This Joint Undertaking received support from the European Union's Horizon 2020 research and innovation programme and EFPIA.
DOI: 10.5281/zenodo.7963069
title: AMYPAD PNHS - Integrated dataset (Harmonized and Derived) v202306

description: <strong>Description:</strong> The Amyloid Imaging to Prevent Alzheimer’s Disease (AMYPAD) Prognostic and Natural History Study (PNHS) is an open-label, prospective, multicentre, cohort study linked to a variety of European Parent Cohorts. AMYPAD PNHS aims to improve disease modelling efforts and individualized risk stratification within the context of Alzheimer's disease, by the additional collection of amyloid burden, measured by positron emission tomography (PET) imaging. The current version of the AMYPAD PNHS dataset integrates information from 10 Parent Cohorts: ALFA+, AMYPAD DPMS, DELCODE, EMIF-AD (60++), EMIF-AD (90+), EPAD LCS, FACEHBI, FPACK, Microbiota, and UCL-2010-412. This dataset includes a total of 3368 participants. Of them, 1620 underwent a baseline amyloid PET that includes the visual read and the Centiloid quantification (1476 subjects), among other metrics. Moreover, 888 participants have (at least) one follow-up PET scan, 763 of them with Centiloid quantification. The participant's clinical outcomes (e.g., cognition), disease (imaging) biomarkers, risk factors (e.g., genetics and environmental), and other relevant variables are included in the dataset. <strong>Data Access Request:</strong> Those researchers interested in using the integrated AMYPAD PNHS dataset can request access to the imaging, clinical, and biomarker data for scientific research investigation and/or educational activities. The application can be performed via the FAIR Data Service of the Alzheimer’s Disease Data Initiative (ADDI). <em>Direct link: </em>https://fair.addi.ad-datainitiative.org/#/data/datasets/amypad_pnhs__harmonised_and_derived__v202306 Further details can be found in the AMYPAD PNHS Data Access Request documentation. <strong>Note:</strong> This version of the dataset includes only the 'harmonised' and 'derived' set of variables (further details can be found in the AMYPAD PNHS Data Access Request documentation.
description: AMYPAD PNHS is registered at www.clinicaltrialsregister.eu with the EudraCT Number: 2018-002277-22. The AMYPAD project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115952. This Joint Undertaking received support from the European Union's Horizon 2020 research and innovation programme and EFPIA.
DOI: 10.5517/ccdc.csd.cc2fys06
title: CCDC 2262938: Experimental Crystal Structure Determination

description: Related Article: Tsubasa Kinugawa, Takashi Matsuo|2023|Dalton Trans.|52|9499|doi:10.1039/D3DT01471A
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.cc2frhpd
title: CCDC 2256914: Experimental Crystal Structure Determination

description: Related Article: D. Ziembicka, A. Olczak, K. Gobis, I. Korona-Głowniak, A. Pietrzak, E. Augustynowicz-Kopeć, A. Głogowska, M. Zaborowski, M. Szczesio|2023|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|79|283|doi:10.1107/S2053229623005521
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: 10.5281/zenodo.8139334
title: Waves Hindcast on the Senegalese Coast over the Last Four Decades (from 1980 to 2021). [A Dataset use in : SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. Atmosphere 2023]

description: Computed from the WW3 Model, the last Four Decades Wave Hindcast is available on the Senegalese Coast through this present Dataset. Covering the period 1980 to 2021, this high resolution hindcast, both spatial (0.05x0.05) and temporal (1 h) provided all the wave parameters such as: the significant wave heights, the mean wave periods, the wave directions and the peak wave periods (to compute from wave frequencies) with an hourly interval. More details on this data (e.g., model implementation and validation) can be obtained in: SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. <em>Journal Atmosphere 2023</em>].
DOI: 10.5281/zenodo.8139333
title: Waves Hindcast on the Senegalese Coast over the Last Four Decades (from 1980 to 2021). [A Dataset use in : SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. Atmosphere 2023]

description: Computed from the WW3 Model, the last Four Decades Wave Hindcast is available on the Senegalese Coast through this present Dataset. Covering the period 1980 to 2021, this high resolution hindcast, both spatial (0.05x0.05) and temporal (1 h) provided all the wave parameters such as: the significant wave heights, the mean wave periods, the wave directions and the peak wave periods (to compute from wave frequencies) with an hourly interval. More details on this data (e.g., model implementation and validation) can be obtained in: SAMOU, M.S.; BERTIN, X.; SAKHO, I.; LAZAR, A.; SADIO, M.; DIOUF, M.B. Wave Climate Variability along the Coastlines of Senegal over the Last Four Decades. <em>Journal Atmosphere 2023</em>].
DOI: 10.6084/m9.figshare.23669271
title: <strong>Wastewater surveillance data complements emergency department data for influenza A and RSV — Wisconsin, August 2022–March 2023</strong>

description: Supplementary files associated with the manuscript " <strong>Wastewater Surveillance Data Complements Emergency Department Visit Data for Influenza A and Respiratory Syncytial Virus — Wisconsin, August 2022–March 2023</strong>"