cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22732451.v1
title: Summary.xlsx

description: This study was performed in the frame of a more extensive study dedicated to the integrated analysis of the single-cell transcriptome and chromatin accessibility datasets of peripheral blood mononuclear cells (PBMCs) with a large-scale GWAS of 45 complex traits in Chinese Holstein cattle. Lipopolysaccharide (LPS) is a crucial mediator of chronic inflammation to modulate immune responses. PBMCs include primary T and B cells, natural killer (NK) cells, monocytes (Mono), and dendritic cells (DC). How LPS stimulates PBMCs at the single-cell level in dairy cattle remains largely unknown. We sequenced 30,756 single cells with approximately 62,254 reads per cell for four whole-blood treatments (no, 2 h, 4 h, and 8 h LPS) by single-cell RNA sequencing (scRNA-seq) and single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq). Finally, 7,107 (no), 9,174 (2 h), 6,741 (4 h), and 3,119 (8 h) cells were generated with ~ 15,000 total genes in the whole population. Therefore, the single-cell transcriptome and chromatin accessibility datasets in this study enable a further understanding of the cell types and functions of PBMCs and their responses to LPS stimulation <em>in vitro</em>.
DOI: 10.5287/ora-vgx4o5mpd
title: Layered BiOI single crystals capable of detecting low dose rates of X-rays

description: Data are the experimental raw data, and the files to support the computations for the research paper. Details can be found in the readme files included in this repository
DOI: 10.6084/m9.figshare.22732451.v2
title: Summary.xlsx

description: This study was performed in the frame of a more extensive study dedicated to the integrated analysis of the single-cell transcriptome and chromatin accessibility datasets of peripheral blood mononuclear cells (PBMCs) with a large-scale GWAS of 45 complex traits in Chinese Holstein cattle. Lipopolysaccharide (LPS) is a crucial mediator of chronic inflammation to modulate immune responses. PBMCs include primary T and B cells, natural killer (NK) cells, monocytes (Mono), and dendritic cells (DC). How LPS stimulates PBMCs at the single-cell level in dairy cattle remains largely unknown. We sequenced 30,756 single cells with approximately 62,254 reads per cell for four whole-blood treatments (no, 2 h, 4 h, and 8 h LPS) by single-cell RNA sequencing (scRNA-seq) and single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq). Finally, 7,107 (no), 9,174 (2 h), 6,741 (4 h), and 3,119 (8 h) cells were generated with ~ 15,000 total genes in the whole population. Therefore, the single-cell transcriptome and chromatin accessibility datasets in this study enable a further understanding of the cell types and functions of PBMCs and their responses to LPS stimulation <em>in vitro</em>.
DOI: 10.25810/6qjv-1296.60
title: Indian Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - March 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.22732451.v3
title: Summary.xlsx

description: This study was performed in the frame of a more extensive study dedicated to the integrated analysis of the single-cell transcriptome and chromatin accessibility datasets of peripheral blood mononuclear cells (PBMCs) with a large-scale GWAS of 45 complex traits in Chinese Holstein cattle. Lipopolysaccharide (LPS) is a crucial mediator of chronic inflammation to modulate immune responses. PBMCs include primary T and B cells, natural killer (NK) cells, monocytes (Mono), and dendritic cells (DC). How LPS stimulates PBMCs at the single-cell level in dairy cattle remains largely unknown. We sequenced 30,756 single cells with approximately 62,254 reads per cell for four whole-blood treatments (no, 2 h, 4 h, and 8 h LPS) by single-cell RNA sequencing (scRNA-seq) and single-cell sequencing assay for transposase-accessible chromatin (scATAC-seq). Finally, 7,107 (no), 9,174 (2 h), 6,741 (4 h), and 3,119 (8 h) cells were generated with ~ 15,000 total genes in the whole population. Therefore, the single-cell transcriptome and chromatin accessibility datasets in this study enable a further understanding of the cell types and functions of PBMCs and their responses to LPS stimulation <em>in vitro</em>.
DOI: 10.6084/m9.figshare.22732286
title: OR clades classification

description: Text files named according to the OR sublades contain the sequences names that belong to this clade. <br>
DOI: 10.6084/m9.figshare.22732286.v1
title: Chemoreceptor clade classification

description: For each chemoreceptor family, text files named according to this family sublades contain the sequences names that belong to this clade. <br>
DOI: 10.25810/fj1y-8c74.51
title: International Wire Services Coverage of Climate Change or Global Warming, 2004-2023 - March 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.22732664
title: TAAR clades classification

description: Text files named according to the TAAR family sublades contain the sequences names that belong to this subclade. <br>
DOI: 10.6084/m9.figshare.22732664.v1
title: TAAR clades classification

description: Text files named according to the TAAR family sublades contain the sequences names that belong to this subclade. <br>
DOI: 10.5281/zenodo.7884524
title: Hilbert Space Fragmentation in Open Quantum Systems

description: Data and codes for the project.
DOI: 10.5281/zenodo.7884523
title: Hilbert Space Fragmentation in Open Quantum Systems

description: Data and codes for the project.
DOI: 10.6084/m9.figshare.22732316
title: V1R clades classification

description: Text files named according to the V1R family sublades contain the sequences names that belong to this subclade. <br>
DOI: 10.25810/v575-3r57.53
title: Japanese Newspaper Coverage of Climate Change or Global Warming, 2000-2023 - March 2023

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6084/m9.figshare.22732682
title: V2R clades classification

description: Text files named according to the V2R family sublades contain the sequences names that belong to this subclade.
DOI: 10.6084/m9.figshare.22732694
title: T1R clades classification

description: Text files named according to the T1R family sublades contain the sequences names that belong to this subclade.
DOI: 10.5281/zenodo.7887005
title: SelfHeating_Stress_Porous_Viet

description: SelfHeating_DiscCoarse_Subvolumes_Porous_Fatigue_Viet_Tomo
DOI: 10.5281/zenodo.7887006
title: SelfHeating_Stress_Porous_Viet

description: SelfHeating_DiscCoarse_Subvolumes_Porous_Fatigue_Viet_Tomo
DOI: 10.5281/zenodo.7887014
title: SelfHeating_Stress_Porous_Viet

description: SelfHeating_DiscCoarse_Subvolumes_Porous_Fatigue_Viet_Tomo
DOI: 10.6084/m9.figshare.22732703
title: T2R clades classification

description: Text files named according to the T2R family sublades contain the sequences names that belong to this subclade.
DOI: 10.5281/zenodo.7045012
title: Additional Figures for winning models for sample in A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties

description: Additional Figures for winning models for sample in <em>A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties (https://arxiv.org/pdf/2209.02754.pdf).</em> Model naming key: NC = cloud-free, d2_89 = power-law deck cloud SDSS J1416+1348A: Winning model: power-law deck cloud Spectral Type Comparison J1526+2043 Winning model: Cloud-free Temperature Comparisons J1539-0520 Winning model: Power-law deck cloud and cloud-free tied. J0539-0059 Winning model: Power-law deck cloud and cloud-free tied. <br>
DOI: 10.5281/zenodo.7045011
title: Additional Figures for winning models for sample in A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties

description: Additional Figures for winning models for sample in <em>A Comparative L-dwarf Sample Exploring the Interplay Between Atmospheric Assumptions and Data Properties (https://arxiv.org/pdf/2209.02754.pdf).</em> Model naming key: NC = cloud-free, d2_89 = power-law deck cloud SDSS J1416+1348A: Winning model: power-law deck cloud Spectral Type Comparison J1526+2043 Winning model: Cloud-free Temperature Comparisons J1539-0520 Winning model: Power-law deck cloud and cloud-free tied. J0539-0059 Winning model: Power-law deck cloud and cloud-free tied. <br>
DOI: 10.25810/yr7w-5c22.6
title: Korean Newspaper Coverage of Climate Change or Global Warming, 2000-2022 - March 2023

description: The Media and Climate Change Observatory Data monitors 130 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.34740/kaggle/dsv/5584943
title: McDonald datsets
DOI: 10.5281/zenodo.7887021
title: Mash Sketch of RefSeq Bacterial Representative Genomes v217

description: This was created to get a new mash reference that was current. The script to create this uses ncbi datasets and mash (https://github.com/UPHL-BioNGS/Grandeur/blob/main/bin/new_mash_ref.sh)<br> <br> This was created on April 27, 2023, and is RefSeq v217<br> <br> ```bash #/bin/bash<br> out=mash_db<br> <br> mkdir $out cd $out datasets summary genome taxon bacteria --reference --as-json-lines | \ dataformat tsv genome --fields accession,assminfo-refseq-category,organism-name --elide-header | \ grep representative | \ tee representative_genomes.txt | \ cut -f 1 &gt; genome_ids.txt echo "$(date): Downloading genomes for ids" datasets download genome accession --inputfile genome_ids.txt --filename rep-genomes.zip echo "$(date): Decompressing zip file" unzip rep-genomes.zip echo "$(date): Creating file for mash" cat ncbi_dataset/data/*/*.fna | sed 's/ /_/g' | sed 's/,//g' &gt; rep-genomes.fasta echo "$(date): Skeching rep-genomes.fasta" mash sketch -i -p 20 rep-genomes.fasta -o rep-genomes ############################################################ echo "$(date): File preparation is complete" ls -alh rep-genomes.fasta ls -alh rep-genomes.msh<br> <br> ```
DOI: 10.5281/zenodo.7887020
title: Mash Sketch of RefSeq Bacterial Representative Genomes v217

description: This was created to get a new mash reference that was current. The script to create this uses ncbi datasets and mash (https://github.com/UPHL-BioNGS/Grandeur/blob/main/bin/new_mash_ref.sh)<br> <br> This was created on April 27, 2023, and is RefSeq v217<br> <br> ```bash #/bin/bash<br> out=mash_db<br> <br> mkdir $out cd $out datasets summary genome taxon bacteria --reference --as-json-lines | \ dataformat tsv genome --fields accession,assminfo-refseq-category,organism-name --elide-header | \ grep representative | \ tee representative_genomes.txt | \ cut -f 1 &gt; genome_ids.txt echo "$(date): Downloading genomes for ids" datasets download genome accession --inputfile genome_ids.txt --filename rep-genomes.zip echo "$(date): Decompressing zip file" unzip rep-genomes.zip echo "$(date): Creating file for mash" cat ncbi_dataset/data/*/*.fna | sed 's/ /_/g' | sed 's/,//g' &gt; rep-genomes.fasta echo "$(date): Skeching rep-genomes.fasta" mash sketch -i -p 20 rep-genomes.fasta -o rep-genomes ############################################################ echo "$(date): File preparation is complete" ls -alh rep-genomes.fasta ls -alh rep-genomes.msh<br> <br> ```
DOI: 10.20375/0000-000f-eefc-a
title: Documentation-Data-Collection.pdf
DOI: 10.20375/0000-000f-eefd-9
title: ReFu0322.sav
DOI: 10.20375/0000-000f-eefe-8
title: ReFu0322.xlsx
DOI: 10.48320/426c556e-12d4-4266-bc64-47a69912f0ce
title: Survey of internally displaced persons in Western Ukraine
DOI: 10.5519/qd.q3k6z0q5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (16 records)
DOI: 10.6073/pasta/2db31002fd25cefff1096252fc83f5d8
title: Delta Smelt (Hypomesus transpacificus) biomarker and genetic data from supplemental release into the San Francisco Estuary, 2022

description: Delta Smelt (Hypomesus transpacificus) is an endangered fish that is endemic to the San Francisco Estuary. As a conservation strategy, hatchery-reared Delta Smelt have been released into the San Francisco Estuary to supplement the wild population. State and federal agencies surveyed the abundance of Delta Smelt, collected fish specimens, and recorded associated environmental data from sampling sites. Delta Smelt specimens were preserved and transported to the University of California, Davis where a variety of biomarkers were assessed on individual fish. This project, including the supplementation of hatchery-reared Delta Smelt and data collection, is ongoing.
DOI: 10.7488/ds/3850
title: Instances for "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models"

description: Parameter values and error terms for all twenty instances in each of the five datasets discussed in "Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models". Instances are designed to be loaded using one of the methods provided at https://github.com/StevenLamontagne/EVChargingStationModel/. However, instances are in valid JSON format (the .pickle files must be unpickled first via, e.g. , the standard pickle library in Python). Documentation is included which explains the notation and usage of each key in the resulting dictionaries. The .pickle files include error terms, and are suitable for either maximum covering models, maximum capture problems, or bilevel models. The .json files precompute the coverage of each station, and are thus only suitable for maximum covering models (however, they load significantly faster for such problems). As the data are synthetic, the spatial and temporal coverage are too, but they are based closely on data from the Trois-Rivières area of Québec, Canada, electric vehicle charging station data from 2014 to 2020. Associated pre-print: Lamontagne, S., Carvalho, M., Frejinger, E., Gendron, B., Anjos, M. F., Atallah, R. (2022). Optimising Electric Vehicle Charging Station Placement using Advanced Discrete Choice Models. arXiv preprint arXiv:2206.11165.
description: Instances can be found in the folder "EV instances", with subfolders for each dataset, and a further subfolder for each method (growth function, single-level, or maximum covering, as applicable).
DOI: 10.5281/zenodo.7886937
title: A dataset for Customer Churn Prediction for Video Websites Incorporating Behavioral Sequence Features

description: In order to study the issue of network customer churn, the iQiyi customer dataset was collected. Behavioral sequence features were extracted from it to build a deep learning model and experiments were conducted.Here, we provide the corresponding raw dataset, including all the data we used.
DOI: 10.5281/zenodo.7886936
title: A dataset for Customer Churn Prediction for Video Websites Incorporating Behavioral Sequence Features

description: In order to study the issue of network customer churn, the iQiyi customer dataset was collected. Behavioral sequence features were extracted from it to build a deep learning model and experiments were conducted.Here, we provide the corresponding raw dataset, including all the data we used.
DOI: 10.34740/kaggle/dsv/5585015
title: New York City Jobs
DOI: 10.5517/ccdc.csd.cc29b1xm
title: CCDC 2124830: Experimental Crystal Structure Determination

description: Related Article: Shuaipeng Lv, Qiannan Li, Ji-Wei Sang, Yu Zhang, Jinxin Wang, Wei-Dong Zhang|2023|RSC Advances|13|11929|doi:10.1039/D3RA01037F
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.cc2d43c1
title: CCDC 2208482: Experimental Crystal Structure Determination

description: Related Article: Lin Lin, Xue‐jun Zhang, Xinyu Xu, Yue Zhao, Zhuangzhi Shi|2023|Angew.Chem.,Int.Ed.|62|e202214584|doi:10.1002/anie.202214584
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.cc2d43d2
title: CCDC 2208483: Experimental Crystal Structure Determination

description: Related Article: Lin Lin, Xue‐jun Zhang, Xinyu Xu, Yue Zhao, Zhuangzhi Shi|2023|Angew.Chem.,Int.Ed.|62|e202214584|doi:10.1002/anie.202214584
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.cc2d43h5
title: CCDC 2208486: Experimental Crystal Structure Determination

description: Related Article: Lin Lin, Xue‐jun Zhang, Xinyu Xu, Yue Zhao, Zhuangzhi Shi|2023|Angew.Chem.,Int.Ed.|62|e202214584|doi:10.1002/anie.202214584
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.cc2d5qw6
title: CCDC 2210048: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Dattatray Tanpure, Rahul Dadabhau Kardile, Rai-Shung Liu|2023|Org.Chem.Front.|10|2211|doi:10.1039/D3QO00134B
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.cc2d5r8m
title: CCDC 2210060: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Dattatray Tanpure, Rahul Dadabhau Kardile, Rai-Shung Liu|2023|Org.Chem.Front.|10|2211|doi:10.1039/D3QO00134B
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.cc2d7k9j
title: CCDC 2211797: Experimental Crystal Structure Determination

description: Related Article: Chengcheng Yuan, Xiangxing Huang, Yaqi Qiao, Wenjing Guan, Chengkou Liu, Zheng Fang, Yuguang Li, Kai Guo|2023|Org.Chem.Front.|10|2310|doi:10.1039/D3QO00030C
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.cc2d8s0h
title: CCDC 2212966: Experimental Crystal Structure Determination

description: Related Article: Alexandre Poirot, Corinne Vanucci-Bacqué, Béatrice Delavaux-Nicot, Clarisse Meslien, Nathalie Saffon-Merceron, Charles-Louis Serpentini, Florence Bedos-Belval, Eric Benoist, Suzanne Fery-Forgues|2023|Dalton Trans.|52|5453|doi:10.1039/D2DT03573A
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.cc2d9zyn
title: CCDC 2214142: Experimental Crystal Structure Determination

description: Related Article: Ning Zhou, Chao Zou, Sa Suo, Yuliang Liu, Jinqiang Lin, Xiaobao Zhang, Minglin Shi, Xiaoyong Chang, Wei Lu|2023|Dalton Trans.|52|5503|doi:10.1039/D2DT03415H
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.cc2dd6qr
title: CCDC 2216274: Experimental Crystal Structure Determination

description: Related Article: Qing-Qing Li, Xue-Wei Pan, Jin Zhang, Lu Zhai, Xiao-Ming Ren|2023|Dalton Trans.|52|5514|doi:10.1039/D3DT00650F
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.cc2dd6rs
title: CCDC 2216275: Experimental Crystal Structure Determination

description: Related Article: Qing-Qing Li, Xue-Wei Pan, Jin Zhang, Lu Zhai, Xiao-Ming Ren|2023|Dalton Trans.|52|5514|doi:10.1039/D3DT00650F
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.cc2ddnm3
title: CCDC 2216705: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Fang Sun, Jiaqi Tang, Xiongkai Tang, Qingyuan Wu, Rong Huo, Ayisha He, Sachurilatu, Xueli Sun, Chaolumen, Qing Tang, Hui Shen|2023|Inorg.Chem.Front.|10|2618|doi:10.1039/D3QI00409K
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.