cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f3chf
title: CCDC 2237564: Experimental Crystal Structure Determination

description: Related Article: Mingoo Jin, Satsuki Matsuura, Hikaru Yamamoto, Motohiro Mizuno, Hajime Ito|2023|Eur.J.Org.Chem.|26|e202201468|doi:10.1002/ejoc.202201468
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.22688371
title: Data for "Towards provably efficient quantum algorithms for large-scale machine-learning models"

description: Data for "Towards provably efficient quantum algorithms for large-scale machine-learning models". Error.txt includes the error proxy estimated due to Carleman linearization. The estimates are obtained using Hessian eigenvalues. Hessians.zip contains hessian eigenvalue grids and densities. Most files are for the 7 M parameter mode, and resnet_422-4-* are for the 103 M parameter model. Accuracy.txt contains the sparse training model accuracy on classifying the test set with CIFAR-100, as well as the loss values. Hessian_vrification.ipynb contains the code to generate the supplementary verification of Hessian eigenvalues on the error properties of Carleman linearization plots. The initial conditions are random.
DOI: 10.5281/zenodo.7860808
title: Lego Product Dataset

description: The dataset extracted from Lego's website contains information on each of the products available in April 2023, including their code, theme, name, price, rating, number of pieces, VIP points, link to the product and date of scraping. With a total of 759 records, this dataset provides a broad sample of the variety of products offered by Lego, making it a valuable source of information for analytical projects in different areas, from market analysis to customer preference studies. In addition, the data has been collected using efficient and appropriate web scraping techniques, ensuring the quality and accuracy of the information obtained.
DOI: 10.5281/zenodo.7860807
title: Lego Product Dataset

description: The dataset extracted from Lego's website contains information on each of the products available in April 2023, including their code, theme, name, price, rating, number of pieces, VIP points, link to the product and date of scraping. With a total of 759 records, this dataset provides a broad sample of the variety of products offered by Lego, making it a valuable source of information for analytical projects in different areas, from market analysis to customer preference studies. In addition, the data has been collected using efficient and appropriate web scraping techniques, ensuring the quality and accuracy of the information obtained.
DOI: 10.25340/r4/h8rby1
title: Related Data for: Making visible a teacher’s pedagogical reasoning and actions through the use of pedagogical documentation

description: Mathematics education research has focused on developing teachers’ knowledge or other visible aspects of the teaching practice. This paper contributes to conversations around making a teacher’s thinking visible and enhancing a teacher’s pedagogical reasoning by exploring the use of pedagogical documentation. In this paper, we describe how a teacher’s pedagogical reasoning was made visible and highlight aspects of his thinking in relation to his instructional decisions during a series of lessons on division. Implications for professional learning are discussed.
DOI: 10.25582/data.2022-04.2503106/1927723
title: Data for EMSL Project 60160 from April 2022
DOI: 10.25582/data.2022-04.2504051/1930791
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2504127/1931425
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2504078/1931426
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2504105/1932548
title: Data for EMSL Project 51599 from April 2022
DOI: 10.25582/data.2022-04.2504077/1932830
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2504052/1932833
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2504053/1932844
title: Data for EMSL Project 51533 from April 2022
DOI: 10.25582/data.2022-04.2503325/1932948
title: Data for EMSL Project 51815 from April 2022
DOI: 10.25582/data.2022-04.2504035/1933211
title: Data for EMSL Project 51816 from April 2022
DOI: 10.25582/data.2022-04.2504442/1947720
title: Data for EMSL Project 51130 from April 2022
DOI: 10.25584/1970740
title: HiC manuscript: bulk metagenomic HiC metaG Raw

description: The raw Hi-C metagenomic data were trimmed and aligned to the de-novo assemblies obtained from the paired shotgun metagenomes following the Hi-C kit manufacturer's recommendations (https://phasegenomics.github.io/2019/09/19/hic-alignment-and-qc.html). The contig-contig links or Hi-C links were quality-filtered for the identification of virus-host pairs.
DOI: 10.25582/data.2022-04.2503868/1971072
title: Data for EMSL Project 51461 from April 2022
DOI: 10.25582/data.2022-04.2503869/1971073
title: Data for EMSL Project 51461 from April 2022
DOI: 10.25582/data.2022-04.2503872/1971074
title: Data for EMSL Project 51461 from April 2022
DOI: 10.25582/data.2022-04.2503908/1971075
title: Data for EMSL Project 51461 from April 2022
DOI: 10.5439/1971077
title: sonde (00)

description: The balloon-borne sounding system (SONDE) provides in situ measurements (vertical profiles) of both the thermodynamic state of the atmosphere, and the wind speed and direction. Sonde operations can provide important constraints for model simulations if used during field campaigns where multiple stations are operated around a central location with baseline measurements, such as a mobile facility. When deployed, sondes are launched at scheduled intervals.
DOI: 10.5439/1971078
title: camseastate (a1)

description: camseastate
DOI: 10.5439/1971079
title: camseastatemovie (a1)

description: camseastatemovie
DOI: 10.5439/1971080
title: navbe (c1)

description: navbe
DOI: 10.5439/1971083
title: twrcamtarmacmovie (a1)

description: twrcamtarmacmovie
DOI: 10.5439/1971084
title: twrcamoceanmovie (a1)

description: twrcamoceanmovie
DOI: 10.6084/m9.figshare.22688431
title: data.docx

description: compost
DOI: 10.6084/m9.figshare.22639267
title: ROC7_vs_ROC3_ora_go-Supp4.csv

description: Over-representation analysis (ORA) of the differentially expressed transcripts based on GO terms (ROC7 vs ROC3)
DOI: 10.6084/m9.figshare.22639267.v1
title: ROC7_vs_ROC3_ora_go-Supp4.csv

description: Over-representation analysis (ORA) of the differentially expressed transcripts based on GO terms (ROC7 vs ROC3)
DOI: 10.13011/m3-n4fy-kr26
title: Data for Thermodynamic Origin of Nonvolatility in Resistive Memory
DOI: 10.5281/zenodo.7851621
title: Dataset for WGS of TiLV using Nanopore

description: This zip file contains scripts, initial fastq files, assembled genomes (public and from this study) as well as bioinformatics intermediate files used for this study. File Structure and Descriptions ├── 01.Filter.sh : Script to perform read filtering from raw fastq.gz<br> ├── 02.RefGenome_Assembly.sh : Script to perform reference-mapping genome assembly from the trimmed fastq file<br> ├── 03.Cleanup.sh : Script to reorganize folder and clean-up intermediate files<br> ├── 04.GapAnalysis.sh : Script to extract individual viral segment and perform QUAST analysis to calculate number of gaps<br> ├── 05.Phylogenetic.sh : Script to combine TiLV genome from public database (availabel in Phylogenetic folder) and generate Maximum likelihood tree<br> ├── backup : Raw Fastq (basecalled with Guppy super accuracy mode)<br> ├── Consensus : Assembled genome in fasta format<br> ├── Coverage: Contig coverage information<br> ├── Filtered_Fastq: Quality and length-filtered fastq used for generating the genome assembly<br> ├── Filtered_Segment.fasta: Viral segments from samples that have been filtered for high completeness ( &gt; 80% genome without gap)<br> ├── GapAnalysis.tsv: Table containing the gap information for each assembled viral segment of each sample<br> ├── Normalised_Bam: BAM alignment file used for variant calling<br> ├── Phylogenetic: Contains crucial whole genome sequences of publicly available virus downloaded from NCBI<br> ├── primer-schemes: Contains reference sequence used for reference-based mapping<br> ├── Raw_Bam: Raw BAM alignment file prior to normalisation. Used to estimate the read depth observed for each sample and each viral segment<br> ├── ReadDepth.tsv: Table file showing the read depth of each sample and its viral segment<br> ├── Sequencing_Stat.tsv: Sequencing statistics of samples before and after length/quality filter with NanoFilt<br> └── TILV.tre: Newick file containing the maximum likelihood tree generated from fasttree (-gtr -nt) 8 directories, 10 files
DOI: 10.5281/zenodo.7851622
title: Dataset for WGS of TiLV using Nanopore

description: This zip file contains scripts, initial fastq files, assembled genomes (public and from this study) as well as bioinformatics intermediate files used for this study. File Structure and Descriptions ├── 01.Filter.sh : Script to perform read filtering from raw fastq.gz<br> ├── 02.RefGenome_Assembly.sh : Script to perform reference-mapping genome assembly from the trimmed fastq file<br> ├── 03.Cleanup.sh : Script to reorganize folder and clean-up intermediate files<br> ├── 04.GapAnalysis.sh : Script to extract individual viral segment and perform QUAST analysis to calculate number of gaps<br> ├── 05.Phylogenetic.sh : Script to combine TiLV genome from public database (availabel in Phylogenetic folder) and generate Maximum likelihood tree<br> ├── backup : Raw Fastq (basecalled with Guppy super accuracy mode)<br> ├── Consensus : Assembled genome in fasta format<br> ├── Coverage: Contig coverage information<br> ├── Filtered_Fastq: Quality and length-filtered fastq used for generating the genome assembly<br> ├── Filtered_Segment.fasta: Viral segments from samples that have been filtered for high completeness ( &gt; 80% genome without gap)<br> ├── GapAnalysis.tsv: Table containing the gap information for each assembled viral segment of each sample<br> ├── Normalised_Bam: BAM alignment file used for variant calling<br> ├── Phylogenetic: Contains crucial whole genome sequences of publicly available virus downloaded from NCBI<br> ├── primer-schemes: Contains reference sequence used for reference-based mapping<br> ├── Raw_Bam: Raw BAM alignment file prior to normalisation. Used to estimate the read depth observed for each sample and each viral segment<br> ├── ReadDepth.tsv: Table file showing the read depth of each sample and its viral segment<br> ├── Sequencing_Stat.tsv: Sequencing statistics of samples before and after length/quality filter with NanoFilt<br> └── TILV.tre: Newick file containing the maximum likelihood tree generated from fasttree (-gtr -nt) 8 directories, 10 files
DOI: 10.25340/r4/gclldr
title: Related Data for: Heterogeneity in children at risk of math learning difficulties

description: This study recruited 428 Singaporean children at risk of math learning difficulties (MLD; Mage = 83.9 months, SDage = 4.35 months; 41% female). Using a factor mixture model that considered both quantitative and qualitative differences in math ability, two qualitatively different groups were identified: one with generalized difficulties across different math skills and the other with more focal difficulties in arithmetic fluency. Reading, working memory capacity, and numeracy (number line estimation skills and numerical discrimination) uniquely explained group membership. Children within each group differed in the extent of difficulties they exhibited, with numeracy variables differentially contributing to math ability in each group. Findings speak against a dimensional view of MLD and underscore the conceptual limitations of using basic numeracy performance to profile learning difficulties.
DOI: 10.6084/m9.figshare.22688404
title: GWAS summary data of hypothalamus in UKB non white british population

description: GWAS summary data of hypothalamus in non white british population
DOI: 10.6084/m9.figshare.22688434
title: GWAS summary data of hypothalamus in ABCD

description: GWAS summary data of hypothalamus in ABCD
DOI: 10.6084/m9.figshare.22688458
title: GWAS summary data of hypothalamus in IMAGEN

description: GWAS summary data of hypothalamus in IMAGEN
DOI: 10.6084/m9.figshare.22688302.v1
title: GWAS summary data of hypothalamus

description: GWAS summary data of hypothalamus
DOI: 10.3886/e186881
title: ECIN Replication Package for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry"

description: This is the data and code for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry".<br>Though antitrust authorities have historically focused on prices in merger analyses, there is now growing interest in the impact of mergers on non-price outcomes. In this paper, we examine the effect of horizontal mergers on product variety in the U.S. beer industry. Our difference-in-differences analyses provide evidence that acquired firms increase variety available to consumers by expanding into new markets, while reducing the variety of products sold in their existing markets. Back of the envelope calculations suggest that in aggregate, these acquisitions have a net positive effect on product variety.
DOI: 10.3886/e186881v1
title: ECIN Replication Package for Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry

description: This is the data and code for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry".<br>Though antitrust authorities have historically focused on prices in merger analyses, there is now growing interest in the impact of mergers on non-price outcomes. In this paper, we examine the effect of horizontal mergers on product variety in the U.S. beer industry. Our difference-in-differences analyses provide evidence that acquired firms increase variety available to consumers by expanding into new markets, while reducing the variety of products sold in their existing markets. Back of the envelope calculations suggest that in aggregate, these acquisitions have a net positive effect on product variety.
DOI: 10.3886/e186881v3
title: ECIN Replication Package for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry"

description: This is the data and code for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry".<br>Though antitrust authorities have historically focused on prices in merger analyses, there is now growing interest in the impact of mergers on non-price outcomes. In this paper, we examine the effect of horizontal mergers on product variety in the U.S. beer industry. Our difference-in-differences analyses provide evidence that acquired firms increase variety available to consumers by expanding into new markets, while reducing the variety of products sold in their existing markets. Back of the envelope calculations suggest that in aggregate, these acquisitions have a net positive effect on product variety.
DOI: 10.6084/m9.figshare.22688473
title: Untitled Item

description: Data attached to article entitled <strong>Effects of sleep deprivation and hazard types on hazard perception among young novice drivers: Results from an ERP study.</strong>
DOI: 10.34740/kaggle/dsv/5514375
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.21227/cmkt-ya19
title: Anthorpometries for the prediction of metabolic ageing 

description: The recording data include the following anthropometries: age (AG), weight (WE), height (HE), body mass index (BMI), waist circumference (WA), waist/height ratio (WHT), arm circumference (AR), hip circumference (HP), systolic blood pressure (BSY), diastolic blood pressure (DSY), heart rate (HR); the health indicator: glucose (DX); and the following functional fitness parameters: muscle (MM), visceral fat (VF), body fat (BF), and body age (BA). Ageing (AGG) is the ratio AG/BA.
DOI: 10.3886/e186881v2
title: ECIN Replication Package for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry"

description: This is the data and code for "Acquisitions, Product Variety, and Distribution in the U.S. Craft Beer Industry".<br>Though antitrust authorities have historically focused on prices in merger analyses, there is now growing interest in the impact of mergers on non-price outcomes. In this paper, we examine the effect of horizontal mergers on product variety in the U.S. beer industry. Our difference-in-differences analyses provide evidence that acquired firms increase variety available to consumers by expanding into new markets, while reducing the variety of products sold in their existing markets. Back of the envelope calculations suggest that in aggregate, these acquisitions have a net positive effect on product variety.
DOI: 10.34740/kaggle/dsv/5514346
title: Cusines dataset
DOI: 10.57841/casdc.0000539
title: 驾驶场景图文标志分割数据集
DOI: 10.5517/ccdc.csd.cc2f3cjg
title: CCDC 2237565: Experimental Crystal Structure Determination

description: Related Article: Mingoo Jin, Satsuki Matsuura, Hikaru Yamamoto, Motohiro Mizuno, Hajime Ito|2023|Eur.J.Org.Chem.|26|e202201468|doi:10.1002/ejoc.202201468
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.cc2f3clj
title: CCDC 2237567: Experimental Crystal Structure Determination

description: Related Article: Mingoo Jin, Satsuki Matsuura, Hikaru Yamamoto, Motohiro Mizuno, Hajime Ito|2023|Eur.J.Org.Chem.|26|e202201468|doi:10.1002/ejoc.202201468
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.cc2f71j8
title: CCDC 2241099: Experimental Crystal Structure Determination

description: Related Article: Péter J. Mayer, Bence B. Botlik, Enikő Meiszter, Krisztina Németh, Christian J. Schürmann, Tamás Holczbauer, Gábor London|2023|Comp.Theo.Chem.|1224|114113|doi:10.1016/j.comptc.2023.114113
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.7860902
title: Impact of elbow supports use on chest compression quality: a crossover simulation study

description: Abstract<br> During chest compressions, a downward force is generated by the rescuer’s body through straightened arms to the patient’s chest. If the elbows are not straight, the depth of chest compressions could be reduced. Such a situation could occur during<br> prolonged chest compressions or when the rescuer must wear protective equipment, such as during the coronavirus disease 2019 (COVID-19) pandemic, and can lead to reduced chest compression quality. This study aimed to compare the quality of chest compressions performed using elbow supports to limit the elbows’ range of motion with that of standard chest compression (SCC). This prospective, randomized controlled, crossover simulation trial was conducted from October to December 2018. It included 34 participants who were certified in Basic Life Support with an overall compression score of ≥80% in the preliminary evaluation. They were randomly assigned to the immediate intervention (elbow support chest compression (ESCC)) or wait-list control (SCC) groups, and were asked to perform hands-only cardiopulmonary resuscitation for 8 minutes with and without elbow supports, respectively. After 1 week, the participants were made to switch groups, and the quality of chest compressions between the two groups was compared. The study findings showed that the ESCC group had a significantly higher overall compression score than the SCC group (82.85 ± 13.73% vs. 76.11 ± 19.19%, respectively, p = 0.044). No difference was observed in the chest compression depth between men and women in the ESCC group (53.12 ± 6.14 mm vs.<br> 49.13 ± 3.23 mm, respectively, p = 0.053), but a significant difference was observed between those of the SCC group (53.18 ± 6.58 mm vs. 47.87 ± 5.23 mm, respectively, p = 0.026). Thus, elbow supports could assist rescuers in performing more effective<br> chest compressions, especially for females or in situations where compression quality could be affected.
DOI: 10.5281/zenodo.7860901
title: Impact of elbow supports use on chest compression quality: a crossover simulation study

description: Abstract<br> During chest compressions, a downward force is generated by the rescuer’s body through straightened arms to the patient’s chest. If the elbows are not straight, the depth of chest compressions could be reduced. Such a situation could occur during<br> prolonged chest compressions or when the rescuer must wear protective equipment, such as during the coronavirus disease 2019 (COVID-19) pandemic, and can lead to reduced chest compression quality. This study aimed to compare the quality of chest compressions performed using elbow supports to limit the elbows’ range of motion with that of standard chest compression (SCC). This prospective, randomized controlled, crossover simulation trial was conducted from October to December 2018. It included 34 participants who were certified in Basic Life Support with an overall compression score of ≥80% in the preliminary evaluation. They were randomly assigned to the immediate intervention (elbow support chest compression (ESCC)) or wait-list control (SCC) groups, and were asked to perform hands-only cardiopulmonary resuscitation for 8 minutes with and without elbow supports, respectively. After 1 week, the participants were made to switch groups, and the quality of chest compressions between the two groups was compared. The study findings showed that the ESCC group had a significantly higher overall compression score than the SCC group (82.85 ± 13.73% vs. 76.11 ± 19.19%, respectively, p = 0.044). No difference was observed in the chest compression depth between men and women in the ESCC group (53.12 ± 6.14 mm vs.<br> 49.13 ± 3.23 mm, respectively, p = 0.053), but a significant difference was observed between those of the SCC group (53.18 ± 6.58 mm vs. 47.87 ± 5.23 mm, respectively, p = 0.026). Thus, elbow supports could assist rescuers in performing more effective<br> chest compressions, especially for females or in situations where compression quality could be affected.
DOI: 10.5519/qd.tgqruzk2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (26474 records)
DOI: 10.6084/m9.figshare.22688612
title: Additional file 1 of Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis

description: Additional file 1. Details of included studies.
DOI: 10.6084/m9.figshare.22688612.v1
title: Additional file 1 of Increased interleukin-6 is associated with long COVID-19: a systematic review and meta-analysis

description: Additional file 1. Details of included studies.
DOI: 10.6084/m9.figshare.22688613
title: Additional file 2 of Emergency medicine doctoral education in Africa: a scoping review of the published literature

description: Additional file 2: Supplementary Table 1. List of articles included with related topic domains.