cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6817385
title: CHCF Fertilizer - Amaranthus tricolor - Shoot Systems (mm) and Post-harvest Biomass Weights (g) - ASD_INRAE 2022

description: Datasets of all raw data measurements for the shoot systems (mm); leaf lengths (mm), leaf widths (mm), heights (mm), stem widths (mm), shoot widths (mm), root lengths (mm), root widths (mm), and the number of leaves. Post-harvest biomass weights (g); fresh and dry weights (g); total weights (g), stem weights (g), shoot weights (g), leaf weights (g), and root weights (g), of the short-term vegetable species Amaranthus tricolor following the application of Common House Cricket frass (CHCF) fertilizer (project duration for approximately ±56 days).
DOI: 10.5281/zenodo.6817427
title: Codalab ML competition - No GPS, No problem! - test dataset

description: See competition website
DOI: 10.5281/zenodo.6669019
title: Codalab ML competition - No GPS, No problem! - test dataset

description: See competition website
DOI: 10.5281/zenodo.6817412
title: NPK 15:15:15 Fertilizer - Amaranthus tricolor - Shoot Systems (mm) and Post-harvest Biomass Weights (g) - ASD_INRAE 2022

description: Datasets of all raw data measurements for the shoot systems (mm); leaf lengths (mm), leaf widths (mm), heights (mm), stem widths (mm), shoot widths (mm), root lengths (mm), root widths (mm), and the number of leaves. Post-harvest biomass weights (g); fresh and dry weights (g); total weights (g), stem weights (g), shoot weights (g), leaf weights (g), and root weights (g), of the short-term vegetable species Amaranthus tricolor following the application of the inorganic compound NPK 15:15:15 fertilizer (NPK151515) (project duration for approximately ±56 days).
DOI: 10.5281/zenodo.6817411
title: NPK 15:15:15 Fertilizer - Amaranthus tricolor - Shoot Systems (mm) and Post-harvest Biomass Weights (g) - ASD_INRAE 2022

description: Datasets of all raw data measurements for the shoot systems (mm); leaf lengths (mm), leaf widths (mm), heights (mm), stem widths (mm), shoot widths (mm), root lengths (mm), root widths (mm), and the number of leaves. Post-harvest biomass weights (g); fresh and dry weights (g); total weights (g), stem weights (g), shoot weights (g), leaf weights (g), and root weights (g), of the short-term vegetable species Amaranthus tricolor following the application of the inorganic compound NPK 15:15:15 fertilizer (NPK151515) (project duration for approximately ±56 days).
DOI: 10.5517/ccdc.csd.cc222dp8
title: CCDC 1908939: Experimental Crystal Structure Determination

description: Related Article: Omar K. Farha, Zhijie Chen, Penghao Li, J. Fraser Stoddart|2020|U.S.Patents|||
description: Related Article: Zhijie Chen,  Penghao Li,  Xingjie Wang,  Ken-ichi Otake,  Xuan Zhang,  Lee Robison,  Ahmet Atilgan,  Timur Islamoglu,  Morgan G. Hall,  Gregory W. Peterson,  J. Fraser Stoddart,  Omar K. Farha|2019|J.Am.Chem.Soc.|141|12229|doi:10.1021/jacs.9b06179
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.cc222dq9
title: CCDC 1908940: Experimental Crystal Structure Determination

description: Related Article: Omar K. Farha, Zhijie Chen, Penghao Li, J. Fraser Stoddart|2020|U.S.Patents|||
description: Related Article: Zhijie Chen,  Penghao Li,  Xingjie Wang,  Ken-ichi Otake,  Xuan Zhang,  Lee Robison,  Ahmet Atilgan,  Timur Islamoglu,  Morgan G. Hall,  Gregory W. Peterson,  J. Fraser Stoddart,  Omar K. Farha|2019|J.Am.Chem.Soc.|141|12229|doi:10.1021/jacs.9b06179
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.cc222drb
title: CCDC 1908941: Experimental Crystal Structure Determination

description: Related Article: Omar K. Farha, Zhijie Chen, Penghao Li, J. Fraser Stoddart|2020|U.S.Patents|||
description: Related Article: Zhijie Chen,  Penghao Li,  Xingjie Wang,  Ken-ichi Otake,  Xuan Zhang,  Lee Robison,  Ahmet Atilgan,  Timur Islamoglu,  Morgan G. Hall,  Gregory W. Peterson,  J. Fraser Stoddart,  Omar K. Farha|2019|J.Am.Chem.Soc.|141|12229|doi:10.1021/jacs.9b06179
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.cc2335t7
title: CCDC 1939478: Experimental Crystal Structure Determination

description: Related Article: Shengqian Ma, Yanming ZHAO|2020|U.S.Patents|||
description: Related Article: Yanming Zhao,  Shibo Qi,  Zheng Niu,  Yunlei Peng,  Chuan Shan,  Gaurav Verma,  Lukasz Wojtas,  Zhenjie Zhang,  Bao Zhang,  Yaqing Feng,  Yu-Sheng Chen,  Shengqian Ma|2019|J.Am.Chem.Soc.|141|14443|doi:10.1021/jacs.9b07700
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.cc233pmk
title: CCDC 1939968: Experimental Crystal Structure Determination

description: Related Article: Shengqian Ma, Yanming ZHAO|2020|U.S.Patents|||
description: Related Article: Yanming Zhao,  Shibo Qi,  Zheng Niu,  Yunlei Peng,  Chuan Shan,  Gaurav Verma,  Lukasz Wojtas,  Zhenjie Zhang,  Bao Zhang,  Yaqing Feng,  Yu-Sheng Chen,  Shengqian Ma|2019|J.Am.Chem.Soc.|141|14443|doi:10.1021/jacs.9b07700
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.cc28qt72
title: CCDC 2107294: Experimental Crystal Structure Determination

description: Related Article: Haiyan An, Huiyun Luo, Tieqi Xu, Shenzhen Chang, Yanhong Chen, Qingshan Zhu, Yaohui Huang, Huaqiao Tan, Yang-Guang Li|2022|Inorg.Chem.|61|10442|doi:10.1021/acs.inorgchem.2c01243
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.cc2908cz
title: CCDC 2115420: Experimental Crystal Structure Determination

description: Related Article: Yanli Li, Huijun Li, Yicheng Liu, Zhouqing Xu|2022|CrystEngComm|24|4880|doi:10.1039/D2CE00496H
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.cc2922j0
title: CCDC 2117161: Experimental Crystal Structure Determination

description: Related Article: Yanli Li, Huijun Li, Yicheng Liu, Zhouqing Xu|2022|CrystEngComm|24|4880|doi:10.1039/D2CE00496H
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.cc29zwck
title: CCDC 2144839: Experimental Crystal Structure Determination

description: Related Article: Zhen-Cong Yang, Kai-Yue Song, Pan-Ke Zhou, Lu-Lu Zong, Hao-Hong Li, Zhi-Rong Chen, Rong Jiang|2022|CrystEngComm|24|4940|doi:10.1039/D2CE00408A
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.cc29zwfm
title: CCDC 2144841: Experimental Crystal Structure Determination

description: Related Article: Zhen-Cong Yang, Kai-Yue Song, Pan-Ke Zhou, Lu-Lu Zong, Hao-Hong Li, Zhi-Rong Chen, Rong Jiang|2022|CrystEngComm|24|4940|doi:10.1039/D2CE00408A
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.cc26ckgm
title: CCDC 2036900: Experimental Crystal Structure Determination

description: Related Article: Martin Kaltenegger, Sebastian Hofer, Roland Resel, Oliver Werzer, Hans Riegler, Josef Simbrunner, Christian Winkler, Yves Geerts, Jie Liu|2022|CrystEngComm|24|4921|doi:10.1039/D2CE00479H
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.cc29zwgn
title: CCDC 2144842: Experimental Crystal Structure Determination

description: Related Article: Zhen-Cong Yang, Kai-Yue Song, Pan-Ke Zhou, Lu-Lu Zong, Hao-Hong Li, Zhi-Rong Chen, Rong Jiang|2022|CrystEngComm|24|4940|doi:10.1039/D2CE00408A
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.cc2b9d13
title: CCDC 2153974: Experimental Crystal Structure Determination

description: Related Article: Magdalena Rok, Marcin Moskwa, Joanna Hetmańczyk, Łukasz Hetmańczyk, Grażyna Bator|2022|CrystEngComm|24|4932|doi:10.1039/D2CE00270A
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.cc2b9d24
title: CCDC 2153975: Experimental Crystal Structure Determination

description: Related Article: Magdalena Rok, Marcin Moskwa, Joanna Hetmańczyk, Łukasz Hetmańczyk, Grażyna Bator|2022|CrystEngComm|24|4932|doi:10.1039/D2CE00270A
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: 10.6084/m9.figshare.20259756
title: Plankton Objects

description: Attached to MacNeil et al. (2022). Additional representative plankton objects from major groups of eukaryotic taxa found on the Newfoundland Shelf during the early winter bloom phase in MacNeil et al. <em>in review.</em> Objects are segmented from holograms produced using digital in-line holographic microscopy and reconstructed with a Helmholtz-Kirchhoff algorithm. All image computation was done through 4-deep inwater imaging software.
DOI: 10.5281/zenodo.6817440
title: The validity and reliability test of the leprosy life quality questionnaire in leprosy patients

description: This is underlying data for study titled<strong> The validity and reliability test of the leprosy life quality questionnaire in leprosy patients</strong>
DOI: 10.6084/m9.figshare.20072693
title: Supplementary Material for: Congenital cytomegalovirus awareness and knowledge among health professionals and pregnant women: an action towards prevention.

description: Introduction: Cytomegalovirus (CMV), is a major cause of childhood disabilities and consensus recommendations emphasize the importance of hygienic measures to reduce perinatal infection. Objective: To evaluate the level of awareness about CMV among health professionals and pregnant women. Methods: We submitted a 20-item online survey regarding CMV perinatal infection to all obstetricians and midwives in Catalonia (Spain) and a 7-item lay-version of the questionnaire to 700 pregnant women. Levels of knowledge were compared among groups. Results: Of the 1449 health professionals approached, 338 surveys were answered. 72% of professionals considered CMV a relevant problem. 47% of obstetricians and 28% of midwives (p=&lt;0.001) routinely informed pregnant women, and less than half knew the risk of fetal transmission. We observed significant differences in knowledge between obstetricians and midwives concerning the risks of recurrent infections, risk of transmission, and risk of severe infection (60.7% vs 45.6%, p=0.006 and 50.6% vs 22.5% p=&lt;0.001); and regarding maternal and neonatal symptoms, and newborn sequelae (23% vs. 8.8% p=&lt;0.001). Of the 700 women approached, we obtained a response rate of 72%. Only 23% had previously heard about CMV; 22% identified transmission routes, and 15% preventive measures. Compared to women without risk factors for CMV infection women at greater risk had heard more about CMV [mothers of children &lt;3 years: 36% vs. 20% p&lt; 0.001; occupational exposure: 43% vs. 20% p=&lt;0.001] and had received more information (mothers of children &lt;3 years: 18% vs. 9.5% p=&lt;0.001; occupational exposure: 23% vs. 9.3% p=0.001). Conclusions: Health care professionals have limited knowledge about CMV and may fail to enforce preventive measures. While pregnant women have limited awareness about CMV infection, they recognize the need for information. Health campaigns should be promoted to enhance awareness about this perinatal infection.
DOI: 10.5281/zenodo.6817446
title: Control Treatment/No Fertilizer Application - Amaranthus tricolor - Shoot Systems (mm) and Post-harvest Biomass Weights (g) - ASD_INRAE 2022

description: Datasets of all raw data measurements for the shoot systems (mm); leaf lengths (mm), leaf widths (mm), heights (mm), stem widths (mm), shoot widths (mm), root lengths (mm), root widths (mm), and the number of leaves. Post-harvest biomass weights (g); fresh and dry weights (g); total weights (g), stem weights (g), shoot weights (g), leaf weights (g), and root weights (g), of the short-term vegetable species Amaranthus tricolor of control treatment/no fertilizer application (project duration for approximately ±56 days).
DOI: 10.5281/zenodo.6817445
title: Control Treatment/No Fertilizer Application - Amaranthus tricolor - Shoot Systems (mm) and Post-harvest Biomass Weights (g) - ASD_INRAE 2022

description: Datasets of all raw data measurements for the shoot systems (mm); leaf lengths (mm), leaf widths (mm), heights (mm), stem widths (mm), shoot widths (mm), root lengths (mm), root widths (mm), and the number of leaves. Post-harvest biomass weights (g); fresh and dry weights (g); total weights (g), stem weights (g), shoot weights (g), leaf weights (g), and root weights (g), of the short-term vegetable species Amaranthus tricolor of control treatment/no fertilizer application (project duration for approximately ±56 days).
DOI: 10.5281/zenodo.6793418
title: Codalab ML competition - No GPS, No problem! - test dataset

description: See competition website
DOI: 10.18419/darus-2608
title: Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures

description: Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of paper figures, considering four CVDs. As images for our study we used the Vis30K image dataset (http://ieee-dataport.org/2494). Here, we selected subset of images that were analyzed by four researchers as well as 200 crowdworkers on Amazon Mechanical Turk. Accessibility ratings, issues, helpful aspects and optional comments were provided for each image. Each image was rated in each CVD condition and by multiple crowdworkers. This dataset contains the anonymized raw data of the crowdsourcing study as well as other aggregated evaluation data such as correlation computations and comment analysis. Further, it comprises supplemental image and video files that could not be included into the paper. For more information please consult the paper and the README.html
DOI: 10.5281/zenodo.5561165
title: Supplementary data - "Learning Reduced Models for Large-Scale Agent-Based Systems"

description: This repository contains supplementary data on my PhD thesis "Learning Reduced Models for Large-Scale Agent-Based Systems". Chapters 1-3, 7 and A do not have supplementary data. <strong>Chapter 4</strong> <em>Large_deviation_example.zip</em> contains the trajectory for Figure 4.8. <em>mean_exit_time*</em> contains the raw data to compute the mean exit time and standard deviation for the ABM process (JP) and SDE process (CLE). It contains additionally a precomputed mean and standard deviation as well as the corresponding numbers of agents. <em>transition_matrix*</em> contain the computed box discretizations as MATLAB and Numpy files as used for Figures 4.2-4.4, 4.6 and Tables 4.1 and 4.2. <strong>Chapter 5</strong> <em>CVM_2021-07-09-15-53_training_data.npz</em> contains the training data for Figure 5.7 a and b. <em>CVM_2021-09-29-07-13_distribution.npz </em>contains the raw data for Figure 5.7 c. The remaining data for Chapter 5 can be found in the related dataset doi.org/10.5281/zenodo.4522119. <strong>Chapter 6</strong> <em>CVM_pareto_estimate</em> contains trajectory data required for Figure 6.6 b to estimate points in the Pareto Front using the civil violence model. <em>CVM_training_data</em> contains the training data to construct the surrogate model. Each data set consists of <em>CVM_*_cops_train.npz</em> as training set, <em>CVM_*_cops_trajectory.npz</em> as sample trajectory and <em>CVM_*_cops.pkl</em> to compute the training data. <em>CVM_covering_iterations_8.mat</em> Pareto set covering after 8 iterations for the civil violence model. Required for Figure 6.6 a. <em>CVM_pareto_set+front.npz</em> is required for Figure 6.6 b. <em>CVM_surrogate_model.mat</em> contains the surrogate model for the civil violence model <em>Expl_iterations_*</em> contains Pareto set coverings after 8 and 12 iterations for Example 6.1.4 and Figure 6.1. <em>VM_covering_iterations_12.mat</em> contains the Pareto set covering depicted in Figure 6.4 a. <em>VM_ODE_covering_iterations_12_subset_front.mat</em> contains the Pareto set covering depicted in Figure 6.5 and 6.5 c. <em>VM_ODE_covering_iterations_12_subset.mat</em> contains the Pareto set covering depicted in Figure 6.5 and 6.5 d. <em>VM_ODE_covering_iterations_12.mat</em> contains the Pareto set covering depicted in Figure 6.4 b. <em>VM_surrogate_model.mat</em> contains the surrogate model for the extended voter model. <em>VM_test_points_non_pareto.npz</em> contains Non-Pareto points in Figure 6.5 and 6.5 d. <em>VM_test_points_pareto.npz</em> contains Pareto points in Figure 6.5 and 6.5 c.
description: This research has been funded by Germany's Excellence Strategy (MATH+: The Berlin Mathematics Research Center, EXC-2046/1, project ID: 390685689) and through Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through grant CRC 1114 (Scaling Cascades in Complex Systems, project ID: 235221301).
DOI: 10.5281/zenodo.5561164
title: Supplementary data - "Learning Reduced Models for Large-Scale Agent-Based Systems"

description: This repository contains supplementary data on my PhD thesis "Learning Reduced Models for Large-Scale Agent-Based Systems". Chapters 1-3, 7 and A do not have supplementary data. <strong>Chapter 4</strong> <em>Large_deviation_example.zip</em> contains the trajectory for Figure 4.8. <em>mean_exit_time*</em> contains the raw data to compute the mean exit time and standard deviation for the ABM process (JP) and SDE process (CLE). It contains additionally a precomputed mean and standard deviation as well as the corresponding numbers of agents. <em>transition_matrix*</em> contain the computed box discretizations as MATLAB and Numpy files as used for Figures 4.2-4.4, 4.6 and Tables 4.1 and 4.2. <strong>Chapter 5</strong> <em>CVM_2021-07-09-15-53_training_data.npz</em> contains the training data for Figure 5.7 a and b. <em>CVM_2021-09-29-07-13_distribution.npz </em>contains the raw data for Figure 5.7 c. The remaining data for Chapter 5 can be found in the related dataset doi.org/10.5281/zenodo.4522119. <strong>Chapter 6</strong> <em>CVM_pareto_estimate</em> contains trajectory data required for Figure 6.6 b to estimate points in the Pareto Front using the civil violence model. <em>CVM_training_data</em> contains the training data to construct the surrogate model. Each data set consists of <em>CVM_*_cops_train.npz</em> as training set, <em>CVM_*_cops_trajectory.npz</em> as sample trajectory and <em>CVM_*_cops.pkl</em> to compute the training data. <em>CVM_covering_iterations_8.mat</em> Pareto set covering after 8 iterations for the civil violence model. Required for Figure 6.6 a. <em>CVM_pareto_set+front.npz</em> is required for Figure 6.6 b. <em>CVM_surrogate_model.mat</em> contains the surrogate model for the civil violence model <em>Expl_iterations_*</em> contains Pareto set coverings after 8 and 12 iterations for Example 6.1.4 and Figure 6.1. <em>VM_covering_iterations_12.mat</em> contains the Pareto set covering depicted in Figure 6.4 a. <em>VM_ODE_covering_iterations_12_subset_front.mat</em> contains the Pareto set covering depicted in Figure 6.5 and 6.5 c. <em>VM_ODE_covering_iterations_12_subset.mat</em> contains the Pareto set covering depicted in Figure 6.5 and 6.5 d. <em>VM_ODE_covering_iterations_12.mat</em> contains the Pareto set covering depicted in Figure 6.4 b. <em>VM_surrogate_model.mat</em> contains the surrogate model for the extended voter model. <em>VM_test_points_non_pareto.npz</em> contains Non-Pareto points in Figure 6.5 and 6.5 d. <em>VM_test_points_pareto.npz</em> contains Pareto points in Figure 6.5 and 6.5 c.
description: This research has been funded by Germany's Excellence Strategy (MATH+: The Berlin Mathematics Research Center, EXC-2046/1, project ID: 390685689) and through Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through grant CRC 1114 (Scaling Cascades in Complex Systems, project ID: 235221301).