cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6637678
title: Slow practice and tempo management strategies in instrumental music learning: Investigating prevalence and cognitive functions

description: This dataset corresponds to the publication of the same title and the following DOI: https://doi.org/10.1177/03057356211073481 The dataset contains 3 excel files. The file named QuantiativeSurveyDataClean_withKey contains all collected, unprocessed, cleaned data variables from the quantitative questionnaire. This includes all variables used for the principle components analysis. The file named ANOVA_data contains the variables used for the ANOVA analyses, and the file named regression_data contains the variables used for the regressions analyses. In all three files, descriptions of the variables can be found in the sheet titled "key", and the data can be found in the sheet titled "data".
DOI: 10.6084/m9.figshare.13584905
title: Flow Cytometry data

description: Datafiles are named after the used fluorophore, CD61 clone, dilution fold and either plasma or DPBS as used sample. IgG1 serves as isotype control and DPBS as buffer control. Apogee and Exometry beads are measured for calibration.
DOI: 10.6084/m9.figshare.13584905.v1
title: Flow Cytometry data

description: Datafiles are named after the used fluorophore, CD61 clone, dilution fold and either plasma or DPBS as used sample. IgG1 serves as isotype control and DPBS as buffer control. Apogee and Exometry beads are measured for calibration.
DOI: 10.57770/uhk47n
title: Replication Data for: Guide Your Eyes: Learning Image Manipulation under Saliency Guidance

description: In this paper, we tackle the problem of saliency-guided image manipulation for adjusting the saliency distribution over image regions. Conventional approaches ordinarily utilize explicit operations on altering the low-level features based on the selected saliency computation. However, it is difficult to generalize such methods for various saliency estimations. To address this issue, we propose a deep learning-based model that bridges between any differentiable saliency estimation methods and a neural network which applies image manipulation. Thus, the manipulation is directly optimized in order to satisfy saliency-guidance. Extensive experiments verify the capacity of our model in saliency-driven image editing and show favorable performance against numerous baselines.
DOI: 10.57770/tt9vin
title: Replication Data for: 3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization

description: Illustration of our method for 3D LiDAR and stereo fusion. The high-level concept of stereo matching pipeline involves 2D feature extraction from the stereo pair, obtaining pixel correspondence, and finally disparity computation. In this paper, we present (1) Input Fusion and (2) Conditional Cost Volume Normalization that are closely integrated with stereo matching networks. By leveraging the complementary nature of LiDAR and stereo modalities, our model produces high-precision disparity estimation.
DOI: 10.25578/iazybn/nq2trk
title: Example_Map_Values_Draw_Uniform_Law.ipynb

description: :unav
DOI: 10.25578/iazybn/xf9pid
title: 2-Random.ipynb

description: :unav
DOI: 10.25578/iazybn/ajvnlc
title: 3-Robustness.ipynb

description: :unav
DOI: 10.25578/iazybn/4xwvya
title: input.zip

description: :unav
DOI: 10.25578/iazybn/dwlh7y
title: output.zip

description: :unav
DOI: 10.34740/kaggle/dsv/3793392
title: YouTube Daily
DOI: 10.25578/iazybn/35lbbw
title: README.md

description: :unav
DOI: 10.5517/ccdc.csd.cc2866mb
title: CCDC 2091341: Experimental Crystal Structure Determination

description: Related Article: Svetlana E. Korolenko, Elena A. Malinina, Varvara V. Avdeeva, Alexey S. Kubasov, Lyudmila V. Goeva, Elena A. Ugolkova, Vadim V. Minin, Anatolii S. Burlov, Lyudmila N. Divaeva, Nikolay T. Kuznetsov|2022|Inorg.Chim.Acta|539|121038|doi:10.1016/j.ica.2022.121038
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.cc2866nc
title: CCDC 2091342: Experimental Crystal Structure Determination

description: Related Article: Svetlana E. Korolenko, Elena A. Malinina, Varvara V. Avdeeva, Alexey S. Kubasov, Lyudmila V. Goeva, Elena A. Ugolkova, Vadim V. Minin, Anatolii S. Burlov, Lyudmila N. Divaeva, Nikolay T. Kuznetsov|2022|Inorg.Chim.Acta|539|121038|doi:10.1016/j.ica.2022.121038
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: 10.25578/iazybn/rh5e5c
title: toolbox_diagnosis.py

description: :unav
DOI: 10.5517/ccdc.csd.cc2866pd
title: CCDC 2091343: Experimental Crystal Structure Determination

description: Related Article: Svetlana E. Korolenko, Elena A. Malinina, Varvara V. Avdeeva, Alexey S. Kubasov, Lyudmila V. Goeva, Elena A. Ugolkova, Vadim V. Minin, Anatolii S. Burlov, Lyudmila N. Divaeva, Nikolay T. Kuznetsov|2022|Inorg.Chim.Acta|539|121038|doi:10.1016/j.ica.2022.121038
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: 10.25578/iazybn/ktcyez
title: 1-Firstcase.ipynb

description: :unav
DOI: 10.25578/iazybn/k54zbh
title: 4-Calibration.ipynb

description: :unav
DOI: 10.25578/iazybn/khlbsr
title: diagnosis.py

description: :unav
DOI: 10.25578/iazybn/ozp5e1
title: 0-InputDataGenerator.ipynb

description: :unav
DOI: 10.25578/iazybn
title: Case studies of a "Rendez-vous Based Drift Diagnosis Algorithm For Sensor Networks Towards In Situ Calibration"

description: This repository contains codes and data that were used in the publication "Rendez-vous Based Drift Diagnosis Algorithm For Sensor Networks Towards In Situ Calibration " for the different case presented.
DOI: 10.5517/ccdc.csd.cc291gjc
title: CCDC 2116572: Experimental Crystal Structure Determination

description: Related Article: Jin Tong, Jie Wen, Bo Cui, Xia-Yan Wang, Shu-Yan Yu|2022|Cryst.Growth Des.|22|3740|doi:10.1021/acs.cgd.2c00099
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.cc291gkd
title: CCDC 2116573: Experimental Crystal Structure Determination

description: Related Article: Jin Tong, Jie Wen, Bo Cui, Xia-Yan Wang, Shu-Yan Yu|2022|Cryst.Growth Des.|22|3740|doi:10.1021/acs.cgd.2c00099
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.cc291glf
title: CCDC 2116574: Experimental Crystal Structure Determination

description: Related Article: Jin Tong, Jie Wen, Bo Cui, Xia-Yan Wang, Shu-Yan Yu|2022|Cryst.Growth Des.|22|3740|doi:10.1021/acs.cgd.2c00099
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.cc291gmg
title: CCDC 2116575: Experimental Crystal Structure Determination

description: Related Article: Jin Tong, Jie Wen, Bo Cui, Xia-Yan Wang, Shu-Yan Yu|2022|Cryst.Growth Des.|22|3740|doi:10.1021/acs.cgd.2c00099
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: 10.25934/pr00005794.11
title: Available IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Docetaxel in Patients With Non-Small Cell Lung Cancer After Failure With Platinum Containing Chemotherapy'

description: This global, multicenter, open-label, randomized, controlled study evaluated the efficacy and safety of atezolizumab (an anti-programmed death−ligand 1 [anti-PD-L1] antibody)compared with docetaxel in participants with locally advanced or metastatic non-small cell lung cancer (NSCLC) after failure with platinum-containing chemotherapy. Participants were randomized 1:1 to receive either docetaxel or atezolizumab. Treatment may continue as long as participants experienced clinical benefit as assessed by the investigator, i.e., in the absence of unacceptable toxicity or symptomatic deterioration attributed to disease progression.
DOI: 10.5281/zenodo.6637796
title: Telemarketer & Regular user CDR phone records

description: Real-world CDR records gathered from Telemarketer PBX and mobile phone users.
DOI: 10.5281/zenodo.6637795
title: Telemarketer & Regular user CDR phone records

description: Real-world CDR records gathered from Telemarketer PBX and mobile phone users.
DOI: 10.25934/pr00005729.2
title: Available IPD datapackage for study 'A Phase III, Randomized, Double-Blind, Placebo-Controlled Clinical Trial to Evaluate the Efficacy and Safety of Pertuzumab + Trastuzumab + Docetaxel vs. Placebo + Trastuzumab + Docetaxel in Previously Untreated HER2-Positive Metastatic Breast Cancer'

description: This study was a Phase III, randomized, double-blind, placebo-controlled, multicenter international clinical trial conducted to investigate the use of pertuzumab in combination with trastuzumab and docetaxel as first-line treatment for participants with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer (MBC). Participants could have received one prior hormonal treatment for MBC. Participants may have received systemic breast cancer treatment in the neo-adjuvant or adjuvant setting, provided that the participant had experienced a disease-free interval (DFI) of greater than or equal to (≥)12 months from completion of adjuvant systemic treatment (excluding hormonal therapy) to metastatic diagnosis. Participants may have received trastuzumab and/or a taxane during the neo-adjuvant or adjuvant treatment. Participants were randomized in 1:1 ratio to receive either pertuzumab or placebo, along with trastuzumab and docetaxel once every 3 weeks (q3w), during the treatment phase of the study until investigator-assessed radiographic or clinical progressive disease, unmanageable toxicity, or study termination. Participants in the Placebo arm were not allowed to receive open-label pertuzumab after discontinuation from study treatment. However, if any analysis of overall survival had met the predefined criteria for statistical significance, participants in the Placebo arm still on treatment were offered the option to receive open-label pertuzumab in addition to other study medications.
DOI: 10.5281/zenodo.5566869
title: Dataset for: The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy

description: <strong>This is the dataset used in the following publication: </strong> R. Thomas, D. Lunt, M. D. Atkinson, J. Quinta da Fonseca, M. Preuss, F. Barton, J. O'Hanlon, and P. Frankel, "The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy," in <em>Zirconium in the Nuclear Industry: 19th International Symposium</em>, ed. A. Motta and S. Yagnik (West Conshohocken, PA: ASTM International, 2021), 233-261. https://doi.org/10.1520/STP162220190027. <strong>Contained in this dataset are:</strong> A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC, EBSD and image data for non-irradiated and 0.1 dpa proton irradiated Zircaloy-4 deformed to ~3% strain, along the rolling direction and transverse direction. Please use the 'develop' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/f6b5d6ec33db9a45089fada17026432645044d2f <strong>Publication abstract:</strong> In this study, deformation experiments together with high-resolution digital image correlation were used to quantify the effect of proton irradiation on strain localization in Zircaloy-4 loaded along the rolling and transverse directions. Significant increases in strain heterogeneity were measured in the irradiated material compared to the nonirradiated material. This was a result of confinement of slip to channels in the irradiated material, which contain high effective shear strain values, with almost no strain in the regions between channels. The active slip systems in the material were also determined by comparing experimental slip trace angles from high-resolution digital image correlation with theoretical slip trace angles determined using grain orientation from electron backscatter diffraction. An increased amount of pyramidal and wavy basal slip, as well as tension twinning, were observed in the sample loaded along the transverse direction, compared to the sample loaded along the rolling direction, due to crystallographic texture. No significant change in slip system activity was observed as a result of 0.1 dpa proton irradiation, despite the dramatic change in slip pattern. The findings provide further insight into the role of irradiation on deformation behavior and provide quantitative data on slip system activation, for as-received and irradiated Zircaloy-4, against which to validate models.
description: {"references": ["R. Thomas, D. Lunt, M. D. Atkinson, J. Quinta da Fonseca, M. Preuss, F. Barton, J. O'Hanlon, and P. Frankel, \"The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy,\" in Zirconium in the Nuclear Industry: 19th International Symposium, ed. A. Motta and S. Yagnik (West Conshohocken, PA: ASTM International, 2021), 233-261. https://doi.org/10.1520/STP162220190027"]}
DOI: 10.5281/zenodo.5566868
title: Dataset for: The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy

description: <strong>This is the dataset used in the following publication: </strong> R. Thomas, D. Lunt, M. D. Atkinson, J. Quinta da Fonseca, M. Preuss, F. Barton, J. O'Hanlon, and P. Frankel, "The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy," in <em>Zirconium in the Nuclear Industry: 19th International Symposium</em>, ed. A. Motta and S. Yagnik (West Conshohocken, PA: ASTM International, 2021), 233-261. https://doi.org/10.1520/STP162220190027. <strong>Contained in this dataset are:</strong> A Jupyter notebook which uses the open-source DefDAP Python package (https://github.com/MechMicroMan/DefDAP) to open enclosed HRDIC, EBSD and image data for non-irradiated and 0.1 dpa proton irradiated Zircaloy-4 deformed to ~3% strain, along the rolling direction and transverse direction. Please use the 'develop' version of DefDAP: https://github.com/MechMicroMan/DefDAP/tree/f6b5d6ec33db9a45089fada17026432645044d2f <strong>Publication abstract:</strong> In this study, deformation experiments together with high-resolution digital image correlation were used to quantify the effect of proton irradiation on strain localization in Zircaloy-4 loaded along the rolling and transverse directions. Significant increases in strain heterogeneity were measured in the irradiated material compared to the nonirradiated material. This was a result of confinement of slip to channels in the irradiated material, which contain high effective shear strain values, with almost no strain in the regions between channels. The active slip systems in the material were also determined by comparing experimental slip trace angles from high-resolution digital image correlation with theoretical slip trace angles determined using grain orientation from electron backscatter diffraction. An increased amount of pyramidal and wavy basal slip, as well as tension twinning, were observed in the sample loaded along the transverse direction, compared to the sample loaded along the rolling direction, due to crystallographic texture. No significant change in slip system activity was observed as a result of 0.1 dpa proton irradiation, despite the dramatic change in slip pattern. The findings provide further insight into the role of irradiation on deformation behavior and provide quantitative data on slip system activation, for as-received and irradiated Zircaloy-4, against which to validate models.
description: {"references": ["R. Thomas, D. Lunt, M. D. Atkinson, J. Quinta da Fonseca, M. Preuss, F. Barton, J. O'Hanlon, and P. Frankel, \"The Effect of Loading Direction on Slip and Twinning in an Irradiated Zirconium Alloy,\" in Zirconium in the Nuclear Industry: 19th International Symposium, ed. A. Motta and S. Yagnik (West Conshohocken, PA: ASTM International, 2021), 233-261. https://doi.org/10.1520/STP162220190027"]}
DOI: 10.5281/zenodo.6632900
title: SuperDARN data in netCDF format (2006-Jan)

description: 2006-Jan SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6631577
title: SuperDARN data in netCDF format (2006-Sep)

description: 2006-Sep SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6632720
title: SuperDARN data in netCDF format (2006-Feb)

description: 2006-Feb SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6632160
title: SuperDARN data in netCDF format (2006-May)

description: 2006-May SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'