cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/2a5e6d68-8f2e-4b93-b0e0-cedf52c3291c
title: Pancreatic Cancer tissue annotation

description: The dataset contains non-exhaustive spatial annotation (i.e., set of representative ROIs) of 4 distinct tissue types from the diagnostic specimen of 14 operable pancreatic ductal adenocarcinoma (PDAC) patients. Brief description of the 4 tissue types: - Neoplastic parenchyma (NP): Cancerous region, composed of dedifferentiated, proliferating cells. - Neoplastic stroma (NS): Connective tissue surrounding the NP regions. Infiltrating stroma is a well-known phenomenon of PDAC, also known as the desmoplastic reaction. - Adjacent parenchyma (AP): histologically benign pancreatic parenchyma, composed of acinar structures. - Adjacent stroma (AS): connective tissue surrounding the AP regions. NB. The non-exhaustive property of the annotation means that not all of the regions complying to the description above are annotated. Also there are certainly regions in the specimen not falling into any of the above categories (immune cell clusters, veins, islets of Langerhans, etc.). The dataset contains slides from 2 batches with slightly different characteristics: Batch 1: - Number of patients: 5 - Thickness of the section: 10 μm - Coloring of the annotation: * NP - red * NS - purple * AP - dark green * AS - light green - Associated files: PaPr[01-05].czi Batch 2: - Number of patients: 9 - Thickness of the section: 20 μm - Coloring of the annotation: * NP - red * NS - yellow * AP - green * AS - cyan - Associated files: PaPr[06-14].czi NB. Patients 9,10 and 11 have 2 associated slides PaPr[9,10,11]-[1,2] and slide 1 contains only neoplastic, whilst slide 2 contains only adjacent regions. The files are in .czi format, and we recommend using the freely available ZEN Blue software for opening them. https://www.zeiss.com/microscopy/int/products/microscope-software/zen-lite.html The regions annotated in this dataset were subject to laser capture microdissection and subsequently analyzed by LC-MS/MS proteomics. The regions corresponding to the same tissue type within patients have been pooled to obtain sufficient material for quantitative proteomics (one sample/patient/tissue type). The dataset is described in details in the following publication: https://doi.org/10.1158/0008-5472.CAN-22-0396
DOI: 10.34740/kaggle/dsv/4146757
title: Synthetic Faces High Quality (SFHQ) part 2
DOI: 10.6084/m9.figshare.19690459.v4
title: Jiaozhou Bay 16S rRNA & metagenome dataset

description: Data for contigs, MAGs, and other files generated using the JZB microbial dataset. Dataset includes: <br> Single assembly contigs (10 files)： JZB_A53_27_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_07_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_02_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at A53 station in September 2015 in Jiazhou Bay. JZB_A53_27_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at A53 station in March 2016 in Jiazhou Bay. JZB_A53_02_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at A53 station in March 2016 in Jiazhou Bay. JZB_D710_27_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 2.7 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_07_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_02_201509_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at D710 station in September 2015 in the open Yellow Sea. JZB_D710_07_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.7 μm pore-sized filter at D710 station in March 2016 in the open Yellow Sea. JZB_D710_02_201603_single_assembly.final.contigs.tar.gz: Contigs from the individual assembly of sample collected onto 0.22 μm pore-sized filter at D710 station in March 2016 in the open Yellow Sea. <br> Co-assembly contigs (3 files)： JZB_27_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 2.7 μm pore-sized filter. JZB_07_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 0.7 μm pore-sized filter. JZB_02_fractional_assembly.final.contigs.tar.gz: Contigs from co-assembly of samples collected onto 0.22 μm pore-sized filter. <br> JZB_MAGs.tar.gz: 915 non-redundant and purified prokaryotic genomes with ≥ 50% completeness and ≤ 5% contamination <br> Supplementary Table 1: Sampling information and environment factors. <br> Supplementary Table 2: The ASVs-table, ASVs taxonomy, and sequencing data information of 16S rDNA sequencing. <br> Supplementary Table 3: The contigs information; MAG information; reference genomes information of archaeal tree; reference genomes information of bacterial tree; Metagenome raw data information. <br>
DOI: 10.34740/kaggle/dsv/4127575
title: Synthetic Faces High Quality (SFHQ) part 1
DOI: 10.6084/m9.figshare.20853607.v1
title: data_gtex_normalized_DESEQ2.zip

description: GTEx data
DOI: 10.6084/m9.figshare.20853607
title: data_gtex_normalized_DESEQ2.zip

description: GTEx data
DOI: 10.34740/kaggle/dsv/4155705
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.1184/r1/20753479
title: Two-layer analytical model for estimation of layer thickness and flow using Diffuse Correlation Spectroscopy

description: This dataset consists of temporal intensity autocorrelation (g<sub>2</sub>) and electric field autocorrelation (g<sub>1</sub>) curves measured by a Diffuse Correlation Spectroscopy (DCS) system from a two-layer optical phantom experiment. A total of 8 first layer (solid) thicknesses (0, 2.01, 3.28, 3.87, 4.65, 4.99, 5.96, and 8.08 mm) were each placed on top of the second layer (liquid). Each measurement was repeated 10 times, and 4 source-detector distances (10, 15, 20, 25 mm) were used. Mean and standard deviation of g<sub>1</sub> and g<sub>2</sub> were calculated over the 100 s measurement time span, and tau is the delay time. Please see 10.1371/journal.pone.0274258 for more details.
DOI: 10.1184/r1/20753479.v1
title: Two-layer analytical model for estimation of layer thickness and flow using Diffuse Correlation Spectroscopy

description: This dataset consists of temporal intensity autocorrelation (g<sub>2</sub>) and electric field autocorrelation (g<sub>1</sub>) curves measured by a Diffuse Correlation Spectroscopy (DCS) system from a two-layer optical phantom experiment. A total of 8 first layer (solid) thicknesses (0, 2.01, 3.28, 3.87, 4.65, 4.99, 5.96, and 8.08 mm) were each placed on top of the second layer (liquid). Each measurement was repeated 10 times, and 4 source-detector distances (10, 15, 20, 25 mm) were used. Mean and standard deviation of g<sub>1</sub> and g<sub>2</sub> were calculated over the 100 s measurement time span, and tau is the delay time. Please see 10.1371/journal.pone.0274258 for more details.
DOI: 10.5281/zenodo.7046095
title: KITTI 3D Object Detection

description: The dataset downloaded from official KITTI website was used in eGAC3D's evaluation. This dataset includes raw images (data_object_label_2.zip) and corresponding ground-truth (data_object_image_2.zip).
DOI: 10.5281/zenodo.7046094
title: KITTI 3D Object Detection

description: The dataset downloaded from official KITTI website was used in eGAC3D's evaluation. This dataset includes raw images (data_object_label_2.zip) and corresponding ground-truth (data_object_image_2.zip).
DOI: 10.6084/m9.figshare.20855314
title: accipiter_gentilis_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20855314.v1
title: accipiter_gentilis_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20855386
title: Dataset of "Coalescence of growing bubbles in highly viscous liquids"

description: This item is provided as part of submission of manuscript entitled "Coalescence of growing bubbles in highly viscous liquids".
DOI: 10.6084/m9.figshare.20855386.v1
title: Dataset of "Coalescence of growing bubbles in highly viscous liquids"

description: This item is provided as part of submission of manuscript entitled "Coalescence of growing bubbles in highly viscous liquids".
DOI: 10.5517/ccdc.csd.cc2927vh
title: CCDC 2117326: Experimental Crystal Structure Determination

description: Related Article: Yanjiang Zhang, Hongxin Liu, Yuchan Chen, Xiuxiang Lu, Zhaoming Liu, Haibo Tan, Weimin Zhang|2022|Phytochemistry|203|113352|doi:10.1016/j.phytochem.2022.113352
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.cc29wc5r
title: CCDC 2141454: Experimental Crystal Structure Determination

description: Related Article: Haonan Cao, Tianyun Guo, Xuemei Deng, Xing Huo, Shouchu Tang, Jian Liu, Xiaolei Wang|2022|Chem.Commun.|58|9934|doi:10.1039/D2CC03569C
description: Related Article: Haonan Cao, Xuemei Deng, Tianyun Guo, Xing Huo, Jian Liu, Xiaolei Wang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.20855512
title: accipiter_soloensis_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20855512.v1
title: accipiter_soloensis_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20855542
title: ANFIS MODELING IN PROJECTION WELDING OF NUTS TO SHEETS

description: Projection welding Adaptive neuro-fuzzy inference system, Genetic algorithm.ojection welding Adaptive neuro-fuzzy inference system, Genetic algorithm. this study, the maximum weld strength in projection welding of nuts to sheets (DD13 sheet metal part and AISI 1010 nut) was investigated using optimum input parameters (weld current, weld time and hold time) in order not to damage weld joint during the car assembly. The experimental strength tests were carried out for each one hundred and forty actual samples. The projection welding process was modeled using an Adaptive Neuro-Fuzzy Inference System (ANFIS). One hundred of these experimental data were used for training in order to model the physical system. Forty experimental data were randomly selected over one hundred and forty actual experimental data. The randomly selected experimental data were used to validate the developed model. The proposed model exhibits good agreements with test data. The developed model was also checked based on squared coefficient of correlation. After all good agreements and validations, Genetic Algorithm (GA) was used to obtain some intermediate values not found on the actual experimental data. Maximum output parameter (weld strength) was determined using these optimum intermediate input parameters. Maximum strength of the projection welding was increased by five percentages using these optimum intermediate input parameters. Finally, all open source Matlab codes and a Google drive links for all Matlab files related to modeling and optimization of the physical system were added to Appendices in order to make other researchers’ works easy. Besides, these Matlab codes and files are applicable for any physical system with very small changes in codding.
DOI: 10.6084/m9.figshare.20855542.v1
title: ANFIS MODELING IN PROJECTION WELDING OF NUTS TO SHEETS_DATA.zip

description: Projection welding Adaptive neuro-fuzzy inference system, Genetic algorithm.ojection welding Adaptive neuro-fuzzy inference system, Genetic algorithm. this study, the maximum weld strength in projection welding of nuts to sheets (DD13 sheet metal part and AISI 1010 nut) was investigated using optimum input parameters (weld current, weld time and hold time) in order not to damage weld joint during the car assembly. The experimental strength tests were carried out for each one hundred and forty actual samples. The projection welding process was modeled using an Adaptive Neuro-Fuzzy Inference System (ANFIS). One hundred of these experimental data were used for training in order to model the physical system. Forty experimental data were randomly selected over one hundred and forty actual experimental data. The randomly selected experimental data were used to validate the developed model. The proposed model exhibits good agreements with test data. The developed model was also checked based on squared coefficient of correlation. After all good agreements and validations, Genetic Algorithm (GA) was used to obtain some intermediate values not found on the actual experimental data. Maximum output parameter (weld strength) was determined using these optimum intermediate input parameters. Maximum strength of the projection welding was increased by five percentages using these optimum intermediate input parameters. Finally, all open source Matlab codes and a Google drive links for all Matlab files related to modeling and optimization of the physical system were added to Appendices in order to make other researchers’ works easy. Besides, these Matlab codes and files are applicable for any physical system with very small changes in codding.
DOI: 10.6084/m9.figshare.20855647
title: accipiter_superciliosus_zanfona_1.fasta.gz

description: ......
DOI: 10.6084/m9.figshare.20855647.v1
title: accipiter_superciliosus_zanfona_1.fasta.gz

description: ......
DOI: 10.34740/kaggle/dsv/4155778
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.20856394
title: circus_maillardi_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20856394.v1
title: circus_maillardi_zanfona_1.fasta.gz

description: .....
DOI: 10.24403/jp.1244730
title: Nachhaltigkeit in Non-Profit Sport-Organisationen
DOI: 10.6084/m9.figshare.20856724
title: gyps_rueppelli_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.20856724.v1
title: gyps_rueppelli_zanfona_1.fasta.gz

description: .....
DOI: 10.6084/m9.figshare.19130453.v2
title: The parameters of the IEEE-30 and Polish2383 bus systems

description: The parameters of the IEEE-30 and Polish2383 bus system
DOI: 10.6084/m9.figshare.19130453
title: The parameters of cases in IEEE 30-bus and Polish 2383-bus systems

description: The parameters of the IEEE-30 and Polish2383 bus system
DOI: 10.6084/m9.figshare.20856667
title: buteo_lagopus_zanfona_1.fasta.gz

description: ....
DOI: 10.6084/m9.figshare.20856667.v1
title: buteo_lagopus_zanfona_1.fasta.gz

description: ....
DOI: 10.34740/kaggle/dsv/4155890
title: COVID Vaccination in World (updated daily)
DOI: 10.5517/ccdc.csd.cc2bcwh3
title: CCDC 2156375: Experimental Crystal Structure Determination

description: Related Article: Zhan-Xing Hu, Peng Zhang, Ji-Bin Zou, Qiao An, Ping Yi, Chun-Mao Yuan, Jue Yang, Wei Gu, Lie-Jun Huang, Li-Hua Zhao, Xiao-Jiang Hao|2022|J.Org.Chem.|87|11309|doi:10.1021/acs.joc.2c00517
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.cc2bcwj4
title: CCDC 2156376: Experimental Crystal Structure Determination

description: Related Article: Zhan-Xing Hu, Peng Zhang, Ji-Bin Zou, Qiao An, Ping Yi, Chun-Mao Yuan, Jue Yang, Wei Gu, Lie-Jun Huang, Li-Hua Zhao, Xiao-Jiang Hao|2022|J.Org.Chem.|87|11309|doi:10.1021/acs.joc.2c00517
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.cc2bfv5t
title: CCDC 2158256: Experimental Crystal Structure Determination

description: Related Article: Wan-Yi Shi, Ming Bai, Xin Zhang, Shu-Yan Qin, Guo-Dong Yao, Bin Lin, Shao-Jiang Song, Xiao-Xiao Huang|2022|Arab.J.Chem.|15|104202|doi:10.1016/j.arabjc.2022.104202
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.cc2bfv6v
title: CCDC 2158257: Experimental Crystal Structure Determination

description: Related Article: Wan-Yi Shi, Ming Bai, Xin Zhang, Shu-Yan Qin, Guo-Dong Yao, Bin Lin, Shao-Jiang Song, Xiao-Xiao Huang|2022|Arab.J.Chem.|15|104202|doi:10.1016/j.arabjc.2022.104202
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.cc2bfv7w
title: CCDC 2158258: Experimental Crystal Structure Determination

description: Related Article: Wan-Yi Shi, Ming Bai, Xin Zhang, Shu-Yan Qin, Guo-Dong Yao, Bin Lin, Shao-Jiang Song, Xiao-Xiao Huang|2022|Arab.J.Chem.|15|104202|doi:10.1016/j.arabjc.2022.104202
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.cc2bkvkb
title: CCDC 2162112: Experimental Crystal Structure Determination

description: Related Article: Thorsten Scherpf, Cody R. Carr, Laurie J. Donnelly, Zachary S. Dubrawski, Benjamin S. Gelfand, Warren E. Piers|2022|Inorg.Chem.|61|13644|doi:10.1021/acs.inorgchem.2c02689
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.cc2bkvlc
title: CCDC 2162113: Experimental Crystal Structure Determination

description: Related Article: Thorsten Scherpf, Cody R. Carr, Laurie J. Donnelly, Zachary S. Dubrawski, Benjamin S. Gelfand, Warren E. Piers|2022|Inorg.Chem.|61|13644|doi:10.1021/acs.inorgchem.2c02689
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.cc2bkvmd
title: CCDC 2162114: Experimental Crystal Structure Determination

description: Related Article: Thorsten Scherpf, Cody R. Carr, Laurie J. Donnelly, Zachary S. Dubrawski, Benjamin S. Gelfand, Warren E. Piers|2022|Inorg.Chem.|61|13644|doi:10.1021/acs.inorgchem.2c02689
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.cc2bkvnf
title: CCDC 2162115: Experimental Crystal Structure Determination

description: Related Article: Thorsten Scherpf, Cody R. Carr, Laurie J. Donnelly, Zachary S. Dubrawski, Benjamin S. Gelfand, Warren E. Piers|2022|Inorg.Chem.|61|13644|doi:10.1021/acs.inorgchem.2c02689
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.cc2bkvpg
title: CCDC 2162116: Experimental Crystal Structure Determination

description: Related Article: Thorsten Scherpf, Cody R. Carr, Laurie J. Donnelly, Zachary S. Dubrawski, Benjamin S. Gelfand, Warren E. Piers|2022|Inorg.Chem.|61|13644|doi:10.1021/acs.inorgchem.2c02689
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.cc2blfft
title: CCDC 2162666: Experimental Crystal Structure Determination

description: Related Article: Viraj A. Bhosale, Ivana Císařová, Martin Kamlar, Jan Veselý|2022|Chem.Commun.|58|9942|doi:10.1039/D2CC02667H
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.cc2bqp0s
title: CCDC 2166745: Experimental Crystal Structure Determination

description: Related Article: Michele Tomasini, Jin Zhang, Hui Zhao, Emili Besalú, Laura Falivene, Lucia Caporaso, Michal Szostak, Albert Poater|2022|Chem.Commun.|58|9950|doi:10.1039/D2CC04228B
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.cc2btk80
title: CCDC 2169512: Experimental Crystal Structure Determination

description: Related Article: Mikhail A. Arsenov, Yury V. Fedorov, Dmitry V. Muratov, Yulia V. Nelyubina, Dmitry A. Loginov|2022|Dyes Pigm.|206|110653|doi:10.1016/j.dyepig.2022.110653
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.