cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2bnw0x
title: CCDC 2165009: Experimental Crystal Structure Determination

description: Related Article: Haritha Rajasekaran, Dorothy Priyanka Dorairaj, Nattamai Bhuvanesh, Ramasamy Karvembu|2023|J.Organomet.Chem.|987-988|122622|doi:10.1016/j.jorganchem.2023.122622
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.cc2clz10
title: CCDC 2192972: Experimental Crystal Structure Determination

description: Related Article: Lei Dai, Zhou Zhang, Guangzhou Zhu, Yun Liu, Xiaoqin Liu, Jinpeng Zhang, Liangce Rong|2023|J.Org.Chem.|88|1352|doi:10.1021/acs.joc.2c02069
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.cc2clz21
title: CCDC 2192973: Experimental Crystal Structure Determination

description: Related Article: Lei Dai, Zhou Zhang, Guangzhou Zhu, Yun Liu, Xiaoqin Liu, Jinpeng Zhang, Liangce Rong|2023|J.Org.Chem.|88|1352|doi:10.1021/acs.joc.2c02069
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.cc2clz32
title: CCDC 2192974: Experimental Crystal Structure Determination

description: Related Article: Lei Dai, Zhou Zhang, Guangzhou Zhu, Yun Liu, Xiaoqin Liu, Jinpeng Zhang, Liangce Rong|2023|J.Org.Chem.|88|1352|doi:10.1021/acs.joc.2c02069
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.cc2d68fb
title: CCDC 2210561: Experimental Crystal Structure Determination

description: Related Article: Rex C. Handford, Trisha T. Nguyen, Simon J. Teat, R. David Britt, T. Don Tilley|2023|J.Am.Chem.Soc.|145|3031|doi:10.1021/jacs.2c11569
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.cc2d68gc
title: CCDC 2210562: Experimental Crystal Structure Determination

description: Related Article: Rex C. Handford, Trisha T. Nguyen, Simon J. Teat, R. David Britt, T. Don Tilley|2023|J.Am.Chem.Soc.|145|3031|doi:10.1021/jacs.2c11569
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.cc2d68hd
title: CCDC 2210563: Experimental Crystal Structure Determination

description: Related Article: Rex C. Handford, Trisha T. Nguyen, Simon J. Teat, R. David Britt, T. Don Tilley|2023|J.Am.Chem.Soc.|145|3031|doi:10.1021/jacs.2c11569
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.cc2d68jf
title: CCDC 2210564: Experimental Crystal Structure Determination

description: Related Article: Rex C. Handford, Trisha T. Nguyen, Simon J. Teat, R. David Britt, T. Don Tilley|2023|J.Am.Chem.Soc.|145|3031|doi:10.1021/jacs.2c11569
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.cc2d68lh
title: CCDC 2210566: Experimental Crystal Structure Determination

description: Related Article: Rex C. Handford, Trisha T. Nguyen, Simon J. Teat, R. David Britt, T. Don Tilley|2023|J.Am.Chem.Soc.|145|3031|doi:10.1021/jacs.2c11569
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.7412690
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-MNDA (myeloid cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.6451368
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-MNDA (myeloid cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.7412500
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-MIST1 (plasma cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.6342444
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-MIST1 (plasma cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.7412512
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-ERG (endothelial cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.6451374
title: Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-ERG (endothelial cells)

description: <strong>LICENSE</strong> This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (<strong>CC-BY-NC-SA 4.0</strong>) For non-commercial use, please use the dataset under CC-BY-NC-SA.<br> If you would like to use the dataset for commercial purposes, please contact us (ishum-prm@m.u-tokyo.ac.jp). A Tar.gz file contains the following files: - HE image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_HE.png - Mask image file: {antigen}_{celltype}_{slideID}_{posx}_{posy}_mask.png Each image file is 984x984 px. posX and posY are the leftmost position in WSI coordinate. Mask files store binary segmentation mask (background : 0, target : 1) A csv file contains the following information: antigen : Antibodies for this antigen were used to create the segmentation mask. filename: filename of image or mask file. train_val_test : train, validation, or test sample in the paper. <strong>Citation</strong> If you use this dataset for your research, please cite our paper. Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,<br> Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.
DOI: 10.5281/zenodo.7629236
title: Natrolite - Sample 2 NanED Round Robin, Data: ESR12

description: <strong><em>Natrolite</em></strong> The following submission contains the data collection and processing of datasets for the sample epidote under the NanEd round-robin project. A single crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. All the data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder. <strong>Precession:</strong> <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR12 - Round Robin Project Label RR1 Sample Label RR1-S2 Data set Label RR1-sample2-PEDT <strong>Instrumental:</strong> Instrument Transmission electron microscope Jeol F200 Radiation source Cold FEG Accelerating voltage 200 kV Wavelength 0.0251 Å Probe Type Microdiffraction Beam Diameter 75nm Beam Convergence Parallel beam, convergence &lt;0.1mrad Detector Hybrid pixel detector ASI Cheetah M3 (bottom mounted) Number of pixels in the image 512 x 512 Pixel size 55 µm x 55 µm Effective camera length 250 mm Calibration constant 0.005835 Å<sup>-1</sup>/pixel <strong>Sample description:</strong> Name Natrolite Chemical composition Na<sub>2</sub>Si<sub>3</sub>Al<sub>2</sub>O<sub>10</sub>.(H<sub>2</sub>O)<sub>2</sub> Sample source Sample preparation Powder crushed in a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method Precession Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 109 tilt range, tilt step, tilt per frame -49° to +59°, 1°, 0° Precession angle 1.35° Exposure time per frame 500ms <strong>Software:</strong> Software used for the data collection Instamatic software Software used for processing PETS2 (ver 2.1.20211012.1037) <strong>Authorship and bibliography</strong> Author(s) of the data Sara Passuti (ESR12) Related data Publication(s) <strong>Files and data formats</strong> Image folder tiff : Folder containing images of the diffraction pattern from each frames. Image format tiff_16bit Additional folders/files sample2_crystal_image : image of the crystal sample2-exp3_petsdata : Log files of PETS2 processing sample2-exp3.pts2 : input file for the program PETS2 used for processing the data <strong>Notes:</strong> *Project Label "RR1" stands for Round Robin 1 *Data set label "RR1-sample2-PEDT" stands for Round Robin 1 sample 2, data collection method Precession. *The additional files can be found in the folder: Precession\data_collection_processing
DOI: 10.5281/zenodo.7629237
title: Natrolite - Sample 2 NanED Round Robin, Data: ESR12

description: <strong><em>Natrolite</em></strong> The following submission contains the data collection and processing of datasets for the sample epidote under the NanEd round-robin project. A single crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. All the data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder. <strong>Precession:</strong> <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR12 - Round Robin Project Label RR1 Sample Label RR1-S2 Data set Label RR1-sample2-PEDT <strong>Instrumental:</strong> Instrument Transmission electron microscope Jeol F200 Radiation source Cold FEG Accelerating voltage 200 kV Wavelength 0.0251 Å Probe Type Microdiffraction Beam Diameter 75nm Beam Convergence Parallel beam, convergence &lt;0.1mrad Detector Hybrid pixel detector ASI Cheetah M3 (bottom mounted) Number of pixels in the image 512 x 512 Pixel size 55 µm x 55 µm Effective camera length 250 mm Calibration constant 0.005835 Å<sup>-1</sup>/pixel <strong>Sample description:</strong> Name Natrolite Chemical composition Na<sub>2</sub>Si<sub>3</sub>Al<sub>2</sub>O<sub>10</sub>.(H<sub>2</sub>O)<sub>2</sub> Sample source Sample preparation Powder crushed in a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method Precession Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 109 tilt range, tilt step, tilt per frame -49° to +59°, 1°, 0° Precession angle 1.35° Exposure time per frame 500ms <strong>Software:</strong> Software used for the data collection Instamatic software Software used for processing PETS2 (ver 2.1.20211012.1037) <strong>Authorship and bibliography</strong> Author(s) of the data Sara Passuti (ESR12) Related data Publication(s) <strong>Files and data formats</strong> Image folder tiff : Folder containing images of the diffraction pattern from each frames. Image format tiff_16bit Additional folders/files sample2_crystal_image : image of the crystal sample2-exp3_petsdata : Log files of PETS2 processing sample2-exp3.pts2 : input file for the program PETS2 used for processing the data <strong>Notes:</strong> *Project Label "RR1" stands for Round Robin 1 *Data set label "RR1-sample2-PEDT" stands for Round Robin 1 sample 2, data collection method Precession. *The additional files can be found in the folder: Precession\data_collection_processing
DOI: 10.5281/zenodo.7629108
title: Epidote - Sample 1 NanED Round Robin, Data: ESR12

description: <strong><em>Epidote</em></strong> The following submission contains the data collection and processing of datasets for the sample epidote under the NanEd round-robin project. A single crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. The data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder. <strong>Precession:</strong> <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR12 - Round Robin Project Label RR1 Sample Label RR1-S1 Data set Label RR1-sample1-PEDT <strong>Instrumental:</strong> Instrument Transmission electron microscope Jeol F200 Radiation source Cold FEG Accelerating voltage 200 kV Wavelength 0.0251 Å Probe Type Microdiffraction Beam Diameter 75nm Beam Convergence Parallel beam, convergence &lt;0.1mrad Detector Hybrid pixel detector ASI Cheetah M3 (bottom mounted) Number of pixels in the image 512 x 512 Pixel size 55 µm x 55 µm Effective camera length 200 mm Calibration constant 0.00720 Å<sup>-1</sup>/pixel <strong>Sample description:</strong> Name Epidote Chemical composition Ca<sub>2</sub>Fe<sub>x</sub>Al<sub>3-x</sub>Si<sub>3</sub>O<sub>13</sub>H Sample source Natural source from Val d'Ossola, Italy Sample preparation Powder crushed on a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method PEDT Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 95 tilt range, tilt step, tilt per frame -49.4° to +61.6°, 1°, 0° Precession angle 1.25° Exposure time per frame 500ms <strong>Software:</strong> Software used for the data collection Instamatic software Software used for processing PETS2 (ver 2.1.20211012.1037) <strong>Authorship and bibliography</strong> Author(s) of the data Sara Passuti (ESR12) Related data Publication(s) <strong>Files and data formats</strong> Image folder tiff : Folder containing images of the diffraction pattern from each frames. Image format tiff_16bit Additional folders/files sample1_crystal_image : image of the crystal sample1-exp4_petsdata : Log files of PETS2 processing sample1-exp4.pts2 :_input file for the program PETS2 used for processing the data <strong>Notes:</strong> *Project Label "RR1" stands for Round Robin 1 *Data set label "RR1-sample-PEDT" stands for Round Robin 1 sample 1, data collection method Precession. *The additional files can be found in the folder: Precession\Data_collection_processing