cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15151/esrf-dc-1314300736
title: HC-4174: RIXS study of novel Cu-based density wave orders and low-energy excitations in cuprate/manganite multilayers

description: We are studying proximity effects in multilayers of the high Tc cuprate YBa2Cu3O7(YBCO) and perovskite manganites, such as Ndx(Ca1-ySry)1- xMnO3(NCSMO), with different magnetic and charge orders. Using RIXS at the Cu L-edge for a superlattice with x=0.35 and y=0.3, we observed an unusual dispersion of the low energy excitations around 100 and 500 meV raising doubts whether they are entirely due to magnons. Our polarimetry study at ESRF, confirmed the predominant magnetic origin of these inelastic excitations. Notably, at the in-plane scattering vector of (Qx,Qy) = (0.21,0.21) rlu, we found that the spin-flip scattering even contributes to the elastic peak. Such a magnetic elastic scattering is suggestive of a new kind of Cu-based spin order(SO) that does not occur in bulk YBCO. Now we want to use the superior energy-resolution and the capability for a full polarization analysis at ID32 of ESRF to perform a detailed analysis of this new SO and related effects on the magnon dispersion.
DOI: 10.6084/m9.figshare.24032322
title: IgH targeted reads from CD138+ plasma cells using the Ion S5, MiSeq, and Oxford Nanopore sequencing platforms

description: Gzipped fastq file of reads from sequencing of CD138+ plasma cells (multiple myeloma) using Ion S5, MiSeq, and Nanopore platforms. The patient sample has been characterized in a previous paper (pt. 1):Cédile O, Hansen MH, Dahlmann SK, Kristensen TK, Abildgaard N, Nyvold CG. Reproducibility of low-level residual myeloma immunoglobulin detection using ultra-deep sequencing. Exp Hematol. 2023 Mar-Apr;119-120:14-20. doi: 10.1016/j.exphem.2023.01.002. Epub 2023 Jan 25. PMID: 36708872.The Oxford Nanopore reads are converted to fastq-like format, where only the sequences have been preserved but is compatible with the swigh-score analysis tools. This tool can be downloaded from http://github.com/marcus-hoy-hansen/swigh-score and has been tested on Ubuntu version 18 to 22.
DOI: 10.6084/m9.figshare.24032322.v2
title: IgH targeted reads from CD138+ plasma cells using the Ion S5, MiSeq, and Oxford Nanopore sequencing platforms

description: Gzipped fastq file of reads from sequencing of CD138+ plasma cells (multiple myeloma) using Ion S5, MiSeq, and Nanopore platforms. The patient sample has been characterized in a previous paper (pt. 1):Cédile O, Hansen MH, Dahlmann SK, Kristensen TK, Abildgaard N, Nyvold CG. Reproducibility of low-level residual myeloma immunoglobulin detection using ultra-deep sequencing. Exp Hematol. 2023 Mar-Apr;119-120:14-20. doi: 10.1016/j.exphem.2023.01.002. Epub 2023 Jan 25. PMID: 36708872.The Oxford Nanopore reads are converted to fastq-like format, where only the sequences have been preserved but is compatible with the swigh-score analysis tools. This tool can be downloaded from http://github.com/marcus-hoy-hansen/swigh-score and has been tested on Ubuntu version 18 to 22.
DOI: 10.6084/m9.figshare.24032322.v1
title: Reads from sequencing of diagnostic sample (CD138+ cells) using Ion S5 platform

description: Gzipped fastq file of reads from sequencing of diagnostic sample (CD138+ cells) using Ion S5 platform.
DOI: 10.5281/zenodo.7622127
title: TIHM: An open dataset for remote healthcare monitoring in dementia

description: Dementia is a progressive condition that affects cognitive and functional abilities. There is a need for reliable and continuous health monitoring of People Living with Dementia (PLWD) to improve their quality of life and support their independent living. Healthcare services often focus on addressing and treating already established health conditions that affect PLWD. Managing these conditions continuously can inform better decision-making earlier for higher-quality care management for PLWD. The Technology Integrated Health Management (TIHM) project developed a new digital platform to routinely collect longitudinal observational and measurement data within the home and apply machine learning and analytical models for the detection and prediction of adverse health events affecting the well-being of PLWD. This work describes the TIHM dataset collected during the second phase (i.e., feasibility study) of the TIHM project. The data was collected from homes of 56 PLWD and associated with events and clinical observations (daily activity, physiological monitoring, and labels for health-related conditions). The study recorded an average of 50 days of data per participant, totalling 2803 days. We have provided raw data and guidelines on how to access, visualise, manipulate and predict health-related events within the dataset, available on the Github repository. The Jupyter Notebooks have been developed using Python 3.9. <strong>The dataset is provided for research and patient benefit purposes.<br> Please acknowledge the Surrey and Borders Partnership NHS Foundation Trust in any publication or use of this dataset.</strong>
description: This project was supported by a grant from the Office of Life Sciences at the Department of Health UK and NHS England, grant number (TS/N009894/1). The dataset is provided for research and cannot be used for commercial purposes. Please acknowledge the Surrey and Borders Partnership NHS Foundation Trust in any publication or use of this dataset.
DOI: 10.6084/m9.figshare.24016506.v4
title: source_data for doping effects on phonon transport in quasi-one-dimensional crystal TiS3 nanoribbons

description: This is the source data for paper "<b>Unexpected</b><b> </b><b>doping effects on phonon transport in quasi-one-dimensional </b><b>van der Waals</b><b> </b><b>crystal TiS</b><sub><strong>3</strong></sub><b> nanoribbons"</b>
DOI: 10.6084/m9.figshare.24016506.v3
title: source_data for doping effects on phonon transport in quasi-one-dimensional crystal TiS3 nanoribbons

description: This is the source data for paper "<b>Unexpected</b><b> </b><b>doping effects on phonon transport in quasi-one-dimensional </b><b>van der Waals</b><b> </b><b>crystal TiS</b><sub><strong>3</strong></sub><b> nanoribbons"</b>
DOI: 10.57841/casdc.0001969
title: 维生素 E型人工膝关节在ISO标准步态与上楼梯运动下的磨损情况对比
DOI: 10.5281/zenodo.6634554
title: A Dataset Containing Tiny and Low Quality Images for Vehicle Classification

description: This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels and 96 dpi resolution. <strong>The peer-reviewed research article for this dataset has been published in MDPI Sensors, and can be accessed here: https://doi.org/10.3390/s22134740. Please cite this when using the dataset.</strong>
DOI: 10.5281/zenodo.6634553
title: A Dataset Containing Tiny and Low Quality Images for Vehicle Classification

description: This dataset contains 4800 tiny and low resolution vehicle images. The vehicles in the images are grouped in six classes: Bike, Car, Juggernaut, Minibus, Pickup, and Truck. For each class, there are 800 vehicle images with 100 × 100 pixels and 96 dpi resolution. <strong>The peer-reviewed research article for this dataset has been published in MDPI Sensors, and can be accessed here: https://doi.org/10.3390/s22134740. Please cite this when using the dataset.</strong>
DOI: 10.5281/zenodo.8282632
title: NLL-SSST-coherence high-precision earthquake location catalog for the 2023 Ojai, California earthquake sequence

description: <strong>Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25).</strong> NLL-SSST-coherence (Lomax and Savvaidis, 2022; Lomax and Henry, 2023) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision. Relocations performed with phase arrival data available from http://service.scedc.caltech.edu Visualizations include topography from https://opentopography.org and surface fault traces from https://usgs.maps.arcgis.com This repository contains: <strong>Full catalog in CSV format</strong>:<br> CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ <strong>Full catalog in NonLinLoc hyp format</strong>:<br> NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ <strong>Key NLL-SSST-coherence configuration files</strong>: NLL-SSST-coherence_config/* <strong>Selected Visualization images</strong>
DOI: 10.5281/zenodo.8282631
title: NLL-SSST-coherence high-precision earthquake location catalog for the 2023 Ojai, California earthquake sequence

description: <strong>Hypocenter catalog files and visualizations of high-precision, NLL-SSST-coherence earthquake locations for the 2023 M5.1 Ojai, California earthquake sequence and background seismicity (2128 events, 1980-01-01 to 2023-08-25).</strong> NLL-SSST-coherence (Lomax and Savvaidis, 2022; Lomax and Henry, 2023) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision. Relocations performed with phase arrival data available from http://service.scedc.caltech.edu Visualizations include topography from https://opentopography.org and surface fault traces from https://usgs.maps.arcgis.com This repository contains: <strong>Full catalog in CSV format</strong>:<br> CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ <strong>Full catalog in NonLinLoc hyp format</strong>:<br> NonLinLoc Hypocenter format output http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_ <strong>Key NLL-SSST-coherence configuration files</strong>: NLL-SSST-coherence_config/* <strong>Selected Visualization images</strong>
DOI: 10.6084/m9.figshare.24032466
title: Spectroscopic and Accumulative Data on Polonium Production

description: Spectroscopic data (alpha spectra of Am-241 sources and the Po-210 produced, beta spectra of Bi-210 produced, neutron spectra of AmBe sources), as well as accumulative data on polonium-210 accumulation is provided.
DOI: 10.6084/m9.figshare.24032466.v1
title: Spectroscopic and Accumulative Data on Polonium Production

description: Spectroscopic data (alpha spectra of Am-241 sources and the Po-210 produced, beta spectra of Bi-210 produced, neutron spectra of AmBe sources), as well as accumulative data on polonium-210 accumulation is provided.
DOI: 10.34740/kaggle/dsv/6362900
title: Egypt Gold Prices | Daily Updated
DOI: 10.57841/casdc.0001970
title: 时变接触特性表面对界面摩擦学行为的影响
DOI: 10.5517/ccdc.csd.cc21vx61
title: CCDC 1902693: Experimental Crystal Structure Determination

description: Related Article: Monalisa Mohanty, Shailendra K. Maurya, Atanu Banerjee, Sushree Aradhana Patra, Mannar R. Maurya, Aurélien Crochet, Krzysztof Brzezinski, Rupam Dinda|2019|New J.Chem.|43|17680|doi:10.1039/C9NJ01815H
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.cc21wb09
title: CCDC 1903090: Experimental Crystal Structure Determination

description: Related Article: Monalisa Mohanty, Shailendra K. Maurya, Atanu Banerjee, Sushree Aradhana Patra, Mannar R. Maurya, Aurélien Crochet, Krzysztof Brzezinski, Rupam Dinda|2019|New J.Chem.|43|17680|doi:10.1039/C9NJ01815H
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.cc21wb1b
title: CCDC 1903091: Experimental Crystal Structure Determination

description: Related Article: Monalisa Mohanty, Shailendra K. Maurya, Atanu Banerjee, Sushree Aradhana Patra, Mannar R. Maurya, Aurélien Crochet, Krzysztof Brzezinski, Rupam Dinda|2019|New J.Chem.|43|17680|doi:10.1039/C9NJ01815H
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.cc1zdww4
title: CCDC 1829647: Experimental Crystal Structure Determination

description: Related Article: Vítor Félix|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.cc220rnj
title: CCDC 1907357: Experimental Crystal Structure Determination

description: Related Article: Yanmin Li, Luyao Xu, Mengmeng Duan, Jiahui Wu, Yinghui Wang, Kexin Dong, Moxuan Han, Zhonglu You|2019|Inorg.Chem.Commun.|105|212|doi:10.1016/j.inoche.2019.05.011
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.cc24xjm7
title: CCDC 1993629: Experimental Crystal Structure Determination

description: Related Article: John J. Kiernicki, Matthias Zeller, Nathaniel K. Szymczak|2020|Inorg.Chem.|59|9279|doi:10.1021/acs.inorgchem.0c01163
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.8186951
title: Supplementary Data and Code: Change Point Analysis to decode Economic Crisis Information

description: Raw data, results and Python code of the corresponding publication "Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation" (accepted in: Entropy; Section: Complexity; Special Issue: Complexity in Finance). The change point analysis can be performed using the documented Python package <em>antiCPy</em>. Some further helpful Python scripts are provided here under a <em>GNU General Public License v3.0.</em> In Data_Generation you can find a list of S&P500 companies which are considered in the analysis, a jupyter notebook to create the correlation time series. Data_Preprocessing contains the S&P500 mean market correlation Financial_Time_Series_Centered_Interval__42days.csv, the Python code to thin it, the thinned data saved as .npy file, the time scale is saved as integer numbers in thinned_time_thinning40.npy, as datetime in TimeScale_FinancialData.npy. In Change_Point_Analysis you find the following files: cp_probs...npy contain the joint probabilities of the corresponding change point configurations (The joint probabilities are saved corresponding to the order in which Python's <em>itertools.combinations() </em>creates the configurations. This holds also for the cp_probs_5_cps.npy for which the whole combinations array is not saved for memory reasons), cp_pdfs...npy contain the marginal probability density functions of the ordinal change point positions averaged over all configurations, cp_configs...npy contain the configurations, segment_fit...npy contain the segment fit data, segment_fit_variance...npy contain corresponding variances, In the case of five change points only the plotted 1st, 13th and 26th most probable configuration in config_ranking_CP1_5.npy for memory reasons. the data and results of figure 3 for each crisis event can be found in the corresponding directory's folders: blue corresponds to the pre-crisis data segments, green corresponds to the data segments up to the green vertical dotted line, red corresponds to the longest data segments incorporating near and in-crisis data.
DOI: 10.5281/zenodo.8186950
title: Supplementary Data and Code: Change Point Analysis to decode Economic Crisis Information

description: Raw data, results and Python code of the corresponding publication "Efficient Multi-Change Point Analysis to decode Economic Crisis Information from the S&P500 Mean Market Correlation" (accepted in: Entropy; Section: Complexity; Special Issue: Complexity in Finance). The change point analysis can be performed using the documented Python package <em>antiCPy</em>. Some further helpful Python scripts are provided here under a <em>GNU General Public License v3.0.</em> In Data_Generation you can find a list of S&P500 companies which are considered in the analysis, a jupyter notebook to create the correlation time series. Data_Preprocessing contains the S&P500 mean market correlation Financial_Time_Series_Centered_Interval__42days.csv, the Python code to thin it, the thinned data saved as .npy file, the time scale is saved as integer numbers in thinned_time_thinning40.npy, as datetime in TimeScale_FinancialData.npy. In Change_Point_Analysis you find the following files: cp_probs...npy contain the joint probabilities of the corresponding change point configurations (The joint probabilities are saved corresponding to the order in which Python's <em>itertools.combinations() </em>creates the configurations. This holds also for the cp_probs_5_cps.npy for which the whole combinations array is not saved for memory reasons), cp_pdfs...npy contain the marginal probability density functions of the ordinal change point positions averaged over all configurations, cp_configs...npy contain the configurations, segment_fit...npy contain the segment fit data, segment_fit_variance...npy contain corresponding variances, In the case of five change points only the plotted 1st, 13th and 26th most probable configuration in config_ranking_CP1_5.npy for memory reasons. the data and results of figure 3 for each crisis event can be found in the corresponding directory's folders: blue corresponds to the pre-crisis data segments, green corresponds to the data segments up to the green vertical dotted line, red corresponds to the longest data segments incorporating near and in-crisis data.
DOI: 10.6084/m9.figshare.24032554
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 3. LA–ICP–MS results for the LV sample (Aumance Basin).
DOI: 10.6084/m9.figshare.24032554.v1
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 3. LA–ICP–MS results for the LV sample (Aumance Basin).
DOI: 10.6084/m9.figshare.24032557
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 1. ICP–MS and ICP–OES geochemistry results for the LV, LYF-416.5 and LYF-567.7 samples.
DOI: 10.6084/m9.figshare.24032557.v1
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 1. ICP–MS and ICP–OES geochemistry results for the LV, LYF-416.5 and LYF-567.7 samples.
DOI: 10.6084/m9.figshare.24032560
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 4. CA–ID–TIMS results for the LV, LYF-567.7 and LYF-416.5 samples.
DOI: 10.6084/m9.figshare.24032560.v1
title: U–Pb age constraints on the Carboniferous–Permian transition in continental basins of eastern equatorial Pangaea (France): implications for the depositional history and correlations across the late Variscan Belt

description: Supplementary Material Table 4. CA–ID–TIMS results for the LV, LYF-567.7 and LYF-416.5 samples.
DOI: 10.57841/casdc.0001971
title: 氮化硅陶瓷球与轴承钢的微动摩擦磨损特性与损伤行为研究
DOI: 10.5281/zenodo.8280551
title: Drought Atlas of India, 1901-2020

description: This is a high-resolution (0.05°) standardized precipitation and evapotranspiration index (SPEI) based drought product for India from 1901 to 2021. In India, recurrent droughts during the summer monsoon season, caused by inadequate rainfall, have led to cascading effects on hydrology and agriculture. Despite the significant repercussions on water resources and farming, there has been a lack of comprehensive datasets to analyze and understand past droughts at appropriate scales. Existing data often cover only limited periods and coarse resolutions, thus missing crucial historical droughts for informed decision-making. To fill this critical gap, we developed the high-resolution (0.05°) and long-term monthly precipitation and temperature datasets for the 1901-2021 period. We used long-term high-resolution precipitation and temperature to develop SPEI based drought product for India. We developed a drought atlas for India (1901-2020) using the high-resolution SPEI. The atlas can provide comprehensive information on drought occurrence, impacts, and risks in India, which can be used for policy and decision-making.
DOI: 10.5281/zenodo.8280550
title: Drought Atlas of India, 1901-2020

description: This is a high-resolution (0.05°) standardized precipitation and evapotranspiration index (SPEI) based drought product for India from 1901 to 2021. In India, recurrent droughts during the summer monsoon season, caused by inadequate rainfall, have led to cascading effects on hydrology and agriculture. Despite the significant repercussions on water resources and farming, there has been a lack of comprehensive datasets to analyze and understand past droughts at appropriate scales. Existing data often cover only limited periods and coarse resolutions, thus missing crucial historical droughts for informed decision-making. To fill this critical gap, we developed the high-resolution (0.05°) and long-term monthly precipitation and temperature datasets for the 1901-2021 period. We used long-term high-resolution precipitation and temperature to develop SPEI based drought product for India. We developed a drought atlas for India (1901-2020) using the high-resolution SPEI. The atlas can provide comprehensive information on drought occurrence, impacts, and risks in India, which can be used for policy and decision-making.