cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2759g6
title: CCDC 2060677: Experimental Crystal Structure Determination

description: Related Article: Shuyi Song, Tadashi Hyodo, Hirotaka Ikeda, Kim Anh L. Vu, Yulan Tang, Erika S. Chan, Yuko Otani, Satoshi Inagaki, Kentaro Yamaguchi, Tomohiko Ohwada|2022|J.Org.Chem.|87|1641|doi:10.1021/acs.joc.1c00801
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.cc275pns
title: CCDC 2061055: Experimental Crystal Structure Determination

description: Related Article: Feng Yang, Yuangang Xu, Pengcheng Wang, Qiuhan Lin, Ming Lu|2022|Cryst.Growth Des.|22|167|doi:10.1021/acs.cgd.1c00739
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.cc275ppt
title: CCDC 2061056: Experimental Crystal Structure Determination

description: Related Article: Feng Yang, Yuangang Xu, Pengcheng Wang, Qiuhan Lin, Ming Lu|2022|Cryst.Growth Des.|22|167|doi:10.1021/acs.cgd.1c00739
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.cc275pqv
title: CCDC 2061057: Experimental Crystal Structure Determination

description: Related Article: Feng Yang, Yuangang Xu, Pengcheng Wang, Qiuhan Lin, Ming Lu|2022|Cryst.Growth Des.|22|167|doi:10.1021/acs.cgd.1c00739
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.cc275prw
title: CCDC 2061058: Experimental Crystal Structure Determination

description: Related Article: Feng Yang, Yuangang Xu, Pengcheng Wang, Qiuhan Lin, Ming Lu|2022|Cryst.Growth Des.|22|167|doi:10.1021/acs.cgd.1c00739
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.cc27k1zv
title: CCDC 2071977: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Koptseva, Mikhail V. Moskalev, Alexandra A. Skatova, Roman V. Rumyantcev, Igor L. Fedushkin|2022|Inorg.Chem.|61|206|doi:10.1021/acs.inorgchem.1c02731
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.cc27k21y
title: CCDC 2071979: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Koptseva, Mikhail V. Moskalev, Alexandra A. Skatova, Roman V. Rumyantcev, Igor L. Fedushkin|2022|Inorg.Chem.|61|206|doi:10.1021/acs.inorgchem.1c02731
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.cc27k22z
title: CCDC 2071980: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Koptseva, Mikhail V. Moskalev, Alexandra A. Skatova, Roman V. Rumyantcev, Igor L. Fedushkin|2022|Inorg.Chem.|61|206|doi:10.1021/acs.inorgchem.1c02731
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.cc27k230
title: CCDC 2071981: Experimental Crystal Structure Determination

description: Related Article: Tatyana S. Koptseva, Mikhail V. Moskalev, Alexandra A. Skatova, Roman V. Rumyantcev, Igor L. Fedushkin|2022|Inorg.Chem.|61|206|doi:10.1021/acs.inorgchem.1c02731
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.cc27kdt1
title: CCDC 2072313: Experimental Crystal Structure Determination

description: Related Article: Shuyi Song, Tadashi Hyodo, Hirotaka Ikeda, Kim Anh L. Vu, Yulan Tang, Erika S. Chan, Yuko Otani, Satoshi Inagaki, Kentaro Yamaguchi, Tomohiko Ohwada|2022|J.Org.Chem.|87|1641|doi:10.1021/acs.joc.1c00801
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.cc27kdv2
title: CCDC 2072314: Experimental Crystal Structure Determination

description: Related Article: Shuyi Song, Tadashi Hyodo, Hirotaka Ikeda, Kim Anh L. Vu, Yulan Tang, Erika S. Chan, Yuko Otani, Satoshi Inagaki, Kentaro Yamaguchi, Tomohiko Ohwada|2022|J.Org.Chem.|87|1641|doi:10.1021/acs.joc.1c00801
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.cc27mtpd
title: CCDC 2074634: Experimental Crystal Structure Determination

description: Related Article: Jaroslav Jacko, Monika Staś, Lubomír Rulíšek, Ivana Císařová, Martin Kotora|2022|J.Org.Chem.|87|744|doi:10.1021/acs.joc.1c01118
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.cc27mtqf
title: CCDC 2074635: Experimental Crystal Structure Determination

description: Related Article: Jaroslav Jacko, Monika Staś, Lubomír Rulíšek, Ivana Císařová, Martin Kotora|2022|J.Org.Chem.|87|744|doi:10.1021/acs.joc.1c01118
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.7562911
title: Thalamoreticular microcircuit

description: ------------------------------------------------------------------------------------------------------------------------------------------ <strong>About this dataset:</strong> This dataset contains the thalamus microcircuit published through the preprint <em><strong>Reconstruction and simulation of thalamoreticular microcircuitry</strong></em> The<strong><em> </em></strong><em>thalamus_microcircuit.zip</em> dataset contains circuit files in SONATA format allowing to access the thalamus microcircuit using the Python library Blue Brain SNAP. Once downloaded, the circuit files can be used to analyze its properties, using e.g. these Blue Brain SNAP notebooks.
DOI: 10.5281/zenodo.6259749
title: Thalamoreticular microcircuit

description: ------------------------------------------------------------------------------------------------------------------------------------------ <strong>About this dataset:</strong> This dataset contains the thalamus microcircuit published through the preprint <em><strong>Reconstruction and simulation of thalamoreticular microcircuitry</strong></em> The<strong><em> </em></strong><em>thalamus_microcircuit.zip</em> dataset contains circuit files in SONATA format allowing to access the thalamus microcircuit using the Python library Blue Brain SNAP. Once downloaded, the circuit files can be used to analyze its properties, using e.g. these Blue Brain SNAP notebooks.
DOI: 10.5281/zenodo.7596345
title: Accurate resampling of radial dose point kernels to a Cartesian matrix for voxelwise dose calculation

description: Note: The version 1.1 dataset has been corrected to include only accurate kernels. Errors were found in Version 1.0 kernels with the following sizes: 1.953, 2.21, 2.4, 3.9, 4, 4.42, 4.8, and 6.8 mm Cartesian matrix dose point kernels, generated by resampling of prior radial dose point kernels. See accompanying paper for additional details: "<strong>Accurate resampling of radial dose point kernels to a Cartesian matrix for voxelwise dose calculation"</strong> Refer to the upload titled "<em>Kernel_Format_README.xlsx</em>" for details regarding kernel format and modification for use. Source (radial) kernel generation is described in the Medical Physics article titled "Dose point kernels for 2,174 radionuclides." - https://doi.org/10.1002/mp.13789 Source (radial) kernels can be downloaded here: https://doi.org/10.5281/zenodo.2564036
description: Version 1.1 has been corrected to include only accurate kernels. Errors were found in Version 1.0 kernels with the following sizes: 1.953, 2.21, 2.4, 3.9, 4, 4.42, 4.8, and 6.8 mm
DOI: 10.5281/zenodo.3827982
title: Accurate resampling of radial dose point kernels to a Cartesian matrix for voxelwise dose calculation

description: Note: The version 1.1 dataset has been corrected to include only accurate kernels. Errors were found in Version 1.0 kernels with the following sizes: 1.953, 2.21, 2.4, 3.9, 4, 4.42, 4.8, and 6.8 mm Cartesian matrix dose point kernels, generated by resampling of prior radial dose point kernels. See accompanying paper for additional details: "<strong>Accurate resampling of radial dose point kernels to a Cartesian matrix for voxelwise dose calculation"</strong> Refer to the upload titled "<em>Kernel_Format_README.xlsx</em>" for details regarding kernel format and modification for use. Source (radial) kernel generation is described in the Medical Physics article titled "Dose point kernels for 2,174 radionuclides." - https://doi.org/10.1002/mp.13789 Source (radial) kernels can be downloaded here: https://doi.org/10.5281/zenodo.2564036
description: Version 1.1 has been corrected to include only accurate kernels. Errors were found in Version 1.0 kernels with the following sizes: 1.953, 2.21, 2.4, 3.9, 4, 4.42, 4.8, and 6.8 mm
DOI: 10.7924/r4pn98b20
title: Data and code from: Elasticity of slide-ring gels

description: Slide-ring gels are polymer networks with cross-links that can slide along the chains. In contrast to conventional unentangled networks with cross-links fixed along the chains, the slide-ring networks are strain-softening and distribute tension much more uniformly between their strands due to the so-called "pulley effect". The sliding of cross-links also reduces the elastic modulus in comparison with the modulus of conventional networks with the same number density of cross-links and elastic strands. We develop a single-chain model to account for the redistribution of monomers between network strands of a primary chain. This model takes into account both the pulley effect and fluctuations in the number of monomers per network strand. The pulley effect leads to modulus reduction and uniform tension redistribution between network strands, while fluctuations in the number of strand monomers dominate the strainsoftening, the magnitude of which decreases upon network swelling and increases upon deswelling.
DOI: 10.26093/cds/vizier.35040127
title: Radio maps of Infrared Dark Cloud 18223-3

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Rotational Structure and Outflow in the Infrared Dark Cloud 18223-3.' (bibcode: 2009A&A...504..127F)
DOI: 10.26093/cds/vizier.35310172
title: Central stars of planetary nebulae. II.

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Central stars of planetary nebulae: New OB-type and emission-line stars.' (bibcode: 2011A&A...531A.172W)
DOI: 10.5281/zenodo.7369696
title: Internet-based interdisciplinary therapeutic group for perinatal anxiety and depression - a randomized pilot study during COVID-19

description: <strong>Abstract</strong>: <strong>Background</strong>: Recent years have seen growing interest in the impact that stress and depressive/anxiety symptomatology have on mothers, fetal development, the mother-baby relationship and infant development. Depressed mothers spend less time making eye-contact with their babies, and caressing and talking to them, which can cause delays in cognitive and emotional development. Early interventions promote reductions in mothers’ stress and anxiety symptoms along with improvements in their ability to read infant cues appropriately. Group perinatal care and internet-based therapeutic interventions were essential during the Covid period and telemedicine ensures continuity of contact with high-risk populations. The aim of this novel study was to assess the effects of interdisciplinary online therapeutic group in at-risk mothers and babies during the Covid-19 pandemic in a disadvantaged neighborhood in Barcelona (Spain). <strong>Method</strong>: An interdisciplinary team offered gestating women and mothers comprehensive care in a protective environment in a Primary Health Care Center. Pregnant women and new mothers were screened to detect depressive-anxiety symptomatology through EPDS/STAI questionnaires. A total of 135 babies were born from March 2020 to June 2021, during the pandemic, and 72 women met high-risk criteria for anxiety or depression. Some 37 pregnant women and mother-baby dyads were treated in the therapeutic group and compared with 27 women randomly selected from the control group, who received treatment as usual. A blinded pediatric follow-up was established when the babies were 6 months old to monitor their development through the Llevant Scale. The course of the mothers’ symptomatology was also assessed. <strong>Results</strong>: We obtained a significant decrease in depressive-anxiety symptomatology (EPDS p=0.000; STAI state p=0.015 and STAI trait p=0.001 at 6 months of life) in the therapeutic group compared with controls. Follow-up at 6 months demonstrated significant differences between groups in assessment of the babies’ development (manipulation p=0.003; language p=0.000; sociability p=0.000). The therapeutic group showed no difficulties in any areas of development. <strong>Conclusions: </strong>Interdisciplinary online therapeutic group helps to ensure healthy development of the baby and reduction of the mothers’ depressive-anxiety symptomatology. Future research should involve larger samples to explore the impact of online group interventions in both mothers and babies. <strong>Trial registration: </strong>The study is registered at Jordi Gol i Gurina Foundation number 21/276-P.
DOI: 10.5281/zenodo.7369695
title: Internet-based interdisciplinary therapeutic group for perinatal anxiety and depression - a randomized pilot study during COVID-19

description: <strong>Abstract</strong>: <strong>Background</strong>: Recent years have seen growing interest in the impact that stress and depressive/anxiety symptomatology have on mothers, fetal development, the mother-baby relationship and infant development. Depressed mothers spend less time making eye-contact with their babies, and caressing and talking to them, which can cause delays in cognitive and emotional development. Early interventions promote reductions in mothers’ stress and anxiety symptoms along with improvements in their ability to read infant cues appropriately. Group perinatal care and internet-based therapeutic interventions were essential during the Covid period and telemedicine ensures continuity of contact with high-risk populations. The aim of this novel study was to assess the effects of interdisciplinary online therapeutic group in at-risk mothers and babies during the Covid-19 pandemic in a disadvantaged neighborhood in Barcelona (Spain). <strong>Method</strong>: An interdisciplinary team offered gestating women and mothers comprehensive care in a protective environment in a Primary Health Care Center. Pregnant women and new mothers were screened to detect depressive-anxiety symptomatology through EPDS/STAI questionnaires. A total of 135 babies were born from March 2020 to June 2021, during the pandemic, and 72 women met high-risk criteria for anxiety or depression. Some 37 pregnant women and mother-baby dyads were treated in the therapeutic group and compared with 27 women randomly selected from the control group, who received treatment as usual. A blinded pediatric follow-up was established when the babies were 6 months old to monitor their development through the Llevant Scale. The course of the mothers’ symptomatology was also assessed. <strong>Results</strong>: We obtained a significant decrease in depressive-anxiety symptomatology (EPDS p=0.000; STAI state p=0.015 and STAI trait p=0.001 at 6 months of life) in the therapeutic group compared with controls. Follow-up at 6 months demonstrated significant differences between groups in assessment of the babies’ development (manipulation p=0.003; language p=0.000; sociability p=0.000). The therapeutic group showed no difficulties in any areas of development. <strong>Conclusions: </strong>Interdisciplinary online therapeutic group helps to ensure healthy development of the baby and reduction of the mothers’ depressive-anxiety symptomatology. Future research should involve larger samples to explore the impact of online group interventions in both mothers and babies. <strong>Trial registration: </strong>The study is registered at Jordi Gol i Gurina Foundation number 21/276-P.
DOI: 10.5281/zenodo.7596391
title: Heads-on skyrmion collisions data set

description: These are datafiles and code associated with the manuscript “Heads-on skyrmion collision”. The data files stored here consists on magnetic force microscopy (MFM) data (i.e. images) of a skyrmion hosting thin film. It is divided on folders corresponding to different days of measurement, and also divided by the type of MFM probe used. The format of the files is the proprietary format from NT-MDT. “Summary of collisions_V8” is a PowerPoint summarizing the data analysis carried out identifying the position of each skyrmion in each of the MFM data files. It should be used to understand the structure of the data. “main.m” Is the Matlab code used to help localizing the position of the skyrmions in the MFM images. “collisions.opju” is the OriginLab file containing the summary of the skyrmion positions. For questions about the dataset or the associated manuscript, please feel free to emai Héctor Corte-León at corte@nanosurf.com
DOI: 10.5281/zenodo.7596390
title: Heads-on skyrmion collisions data set

description: These are datafiles and code associated with the manuscript “Heads-on skyrmion collision”. The data files stored here consists on magnetic force microscopy (MFM) data (i.e. images) of a skyrmion hosting thin film. It is divided on folders corresponding to different days of measurement, and also divided by the type of MFM probe used. The format of the files is the proprietary format from NT-MDT. “Summary of collisions_V8” is a PowerPoint summarizing the data analysis carried out identifying the position of each skyrmion in each of the MFM data files. It should be used to understand the structure of the data. “main.m” Is the Matlab code used to help localizing the position of the skyrmions in the MFM images. “collisions.opju” is the OriginLab file containing the summary of the skyrmion positions. For questions about the dataset or the associated manuscript, please feel free to emai Héctor Corte-León at corte@nanosurf.com
DOI: 10.6084/m9.figshare.21074182.v2
title: Large-scale crowdsourced radiotherapy segmentations across a variety of cancer sites

description: Clinician generated segmentation of tumors and healthy tissue regions of interest (ROIs) on medical images is crucial for radiotherapy workflows. However, interobserver segmentation variability has long been considered a significant detriment to the implementation of high-quality and consistent radiotherapy dose delivery. This has prompted the increasing development and utilization of computational approaches for automated ROI segmentation, in particular deep learning based methods. However, extant public segmentation datasets typically only provide segmentations generated by a limited number of annotators with varying, and often unspecified, levels of expertise. In this data descriptor, a large number of clinician annotators manually generated segmentations for numerous ROIs on computed tomography images across a variety of cancer sites (breast, sarcoma, head and neck, gynecologic, gastrointestinal) for the Contouring Collaborative for Consensus in Radiation Oncology challenge. Over 200 clinician annotators (verified experts and non-experts) contributed to the generation of these segmentation data using a standardized annotation platform (ProKnow). Subsequently, we converted image and segmentation data into Neuroimaging Informatics Technology Initiative format with standardized nomenclature for ease of use by the research community. In addition, we generated consensus segmentations for experts and non-experts using the simultaneous truth and performance level estimation method. These standardized, structured, and easily accessible data are a valuable resource for systematically studying interobserver variability in ROI segmentation applications with an unprecedented large number of clinician annotators.
DOI: 10.18112/openneuro.ds004408.v1.0.1
title: Invariant encoding of phonemes in neural responses to continuous speech