cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2924tc
title: CCDC 2117232: Experimental Crystal Structure Determination

description: Related Article: Shu-Jie Chen, Guo-Shu Chen, Tao Deng, Jia-Hui Li, Zhi-Qing He, Li-Shan Liu, Hai Ren, Yun-Lin Liu|2022|Org.Lett.|24|702|doi:10.1021/acs.orglett.1c04148
DOI: 10.5517/ccdc.csd.cc2924vd
title: CCDC 2117233: Experimental Crystal Structure Determination

description: Related Article: Shu-Jie Chen, Guo-Shu Chen, Tao Deng, Jia-Hui Li, Zhi-Qing He, Li-Shan Liu, Hai Ren, Yun-Lin Liu|2022|Org.Lett.|24|702|doi:10.1021/acs.orglett.1c04148
DOI: 10.5517/ccdc.csd.cc2950j1
title: CCDC 2119982: Experimental Crystal Structure Determination

description: Related Article: Jiao-Jiao Li, Zhikun Liu, Zong-Jie Guan, Xu-Shuang Han, Wan-Qi Shi, Quan-Ming Wang|2022|J.Am.Chem.Soc.|144|690|doi:10.1021/jacs.1c11643
DOI: 10.5517/ccdc.csd.cc295bvp
title: CCDC 2120302: Experimental Crystal Structure Determination

description: Related Article: Rabia Usman, Arshad Khan, Haiming Tang, Di Ma, Amnah Mohammed Alsuhaibani, Moamen S. Refat, Adnan, Nargis Ara, Hua-Jun Shawn Fan|2022|J.Mol.Struct.|1254|132360|doi:10.1016/j.molstruc.2022.132360
DOI: 10.5517/ccdc.csd.cc295bwq
title: CCDC 2120303: Experimental Crystal Structure Determination

description: Related Article: Rabia Usman, Arshad Khan, Haiming Tang, Di Ma, Amnah Mohammed Alsuhaibani, Moamen S. Refat, Adnan, Nargis Ara, Hua-Jun Shawn Fan|2022|J.Mol.Struct.|1254|132360|doi:10.1016/j.molstruc.2022.132360
DOI: 10.6084/m9.figshare.18865934
title: Interstitial Boron-Triggered Electron-Deficient Os Aerogels for Enhanced pH-Universal Hydrogen Evolution

description: <b>Interstitial Boron-Triggered Electron-Deficient Os Aerogels for Enhanced pH-Universal Hydrogen Evolution</b>
DOI: 10.6084/m9.figshare.18865934.v1
title: Interstitial Boron-Triggered Electron-Deficient Os Aerogels for Enhanced pH-Universal Hydrogen Evolution

description: <b>Interstitial Boron-Triggered Electron-Deficient Os Aerogels for Enhanced pH-Universal Hydrogen Evolution</b>
DOI: 10.5517/ccdc.csd.cc29fh2b
title: CCDC 2128121: Experimental Crystal Structure Determination

description: Related Article: Shuyu Meng, Yinglan Wang, Jie Liu, Jie Zheng, Xiao Qian, Quanrui Wang|2022|Org.Lett.|24|757|doi:10.1021/acs.orglett.1c04242
DOI: 10.5517/ccdc.csd.cc29fh3c
title: CCDC 2128122: Experimental Crystal Structure Determination

description: Related Article: Shuyu Meng, Yinglan Wang, Jie Liu, Jie Zheng, Xiao Qian, Quanrui Wang|2022|Org.Lett.|24|757|doi:10.1021/acs.orglett.1c04242
DOI: 10.6084/m9.figshare.18866264
title: Fast model-free integration and transfer learning via MASI for single-cell expression data

description: Processsed data for MASI manuscript
DOI: 10.6084/m9.figshare.18866264.v1
title: Fast model-free integration and transfer learning via MASI for single-cell expression data

description: Processsed data for MASI manuscript
DOI: 10.25919/ba9m-0819
title: Parkes observations for project P1050 semester 2021OCTS_17

description: This is a request for observing time for the timing campaign of new pulsar discoveries from the reprocessing of the low-latitude Galactic plane section of the HTRU survey (P630). We have now completed 90 % of the survey with GPU based coherent acceleration search, template bank and fast folding algorithm pipelines, and now have discovered 92 previously unknown pulsars and 8 "class A" pulsars awaiting confirmation. Interesting science can usually only be derived from a new pulsar after confirmation and a follow-up timing campaign is carried out. One year of initial timing is the minimum timespan required to fully characterise any newly-discovered pulsars, essential for deriving pulsar parameters such as the characteristic age, magnetic field strength, spin-down rate, as well as to detect any unexpected behaviour of the pulsar which might result from emission instabilities. Pulsars on the observing list here have been confirmed in the previous and current 2021APRS semesters, the follow-up timing in OCTS2021 will produce completely new and exciting results. In addition, this timing project will allow us to measure the true Galactic plane pulsar population and the boundaries of pulsar parameter space in the galactic plane.
DOI: 10.5281/zenodo.5893854
title: Region-based Annotation Data of Fire Images for Intelligent Surveillance System

description: This data presents fire segmentation annotation data on 12 commonly used and publicly available “VisiFire Dataset” videos from http://signal.ee.bilkent.edu.tr/VisiFire/. This annotations dataset was obtained by per-frame, manual hand annotation over the fire region with 2,684 total annotated frames. Since this annotation provides per-frame segmentation data, it offers a new and unique fire motion feature to the existing video, unlike other fire segmentation data that are collected from different still images. The annotations dataset also provides ground truth for segmentation task on videos. With segmentation task, it offers better insight on how well a machine learning model understood, not only detecting whether a fire is present, but also its exact location by calculating metrics such as Intersection over Union (IoU) with this annotations data. This annotations data is a tremendously useful addition to train, develop, and create a much better smart surveillance system for early detection in high-risk fire hotspots area.
DOI: 10.5281/zenodo.5514936
title: Region-based Annotation Data of Fire Images for Intelligent Surveillance System

description: This data presents fire segmentation annotation data on 12 commonly used and publicly available “VisiFire Dataset” videos from http://signal.ee.bilkent.edu.tr/VisiFire/. This annotations dataset was obtained by per-frame, manual hand annotation over the fire region with 2,684 total annotated frames. Since this annotation provides per-frame segmentation data, it offers a new and unique fire motion feature to the existing video, unlike other fire segmentation data that are collected from different still images. The annotations dataset also provides ground truth for segmentation task on videos. With segmentation task, it offers better insight on how well a machine learning model understood, not only detecting whether a fire is present, but also its exact location by calculating metrics such as Intersection over Union (IoU) with this annotations data. This annotations data is a tremendously useful addition to train, develop, and create a much better smart surveillance system for early detection in high-risk fire hotspots area.
DOI: 10.6084/m9.figshare.18866478
title: Additional file 3 of tRF3008A suppresses the progression and metastasis of colorectal cancer by destabilizing FOXK1 in an AGO-dependent manner

description: Additional file 3.
DOI: 10.6084/m9.figshare.18866482
title: Additional file 2 of Genome-wide survey of the dehydrin genes in bread wheat (Triticum aestivum L.) and its relatives: identification, evolution and expression profiling under various abiotic stresses

description: Additional file 2.
DOI: 10.6084/m9.figshare.18866478.v1
title: Additional file 3 of tRF3008A suppresses the progression and metastasis of colorectal cancer by destabilizing FOXK1 in an AGO-dependent manner

description: Additional file 3.
DOI: 10.6084/m9.figshare.18866482.v1
title: Additional file 2 of Genome-wide survey of the dehydrin genes in bread wheat (Triticum aestivum L.) and its relatives: identification, evolution and expression profiling under various abiotic stresses

description: Additional file 2.
DOI: 10.6084/m9.figshare.18866520
title: Additional file 2 of Perceived risk and distress related to COVID-19 in healthcare versus non-healthcare workers of Pakistan: a cross-sectional study

description: Additional file 2. Data.
DOI: 10.6084/m9.figshare.18866520.v1
title: Additional file 2 of Perceived risk and distress related to COVID-19 in healthcare versus non-healthcare workers of Pakistan: a cross-sectional study

description: Additional file 2. Data.
DOI: 10.6084/m9.figshare.18866605.v1
title: Additional file 4 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 4: Additional Table 1. Gene ontology results for each group of differentially expressed genes defined though the contrast of susceptible and resistant genotypes.
DOI: 10.6084/m9.figshare.18866608.v1
title: Additional file 5 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 5: Additional Table 2. Gene ontology results for each group of differentially expressed genes defined though the contrast of inoculated and the uninoculated control treatments.
DOI: 10.6084/m9.figshare.18866611.v1
title: Additional file 6 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 6: Additional Table 3. Gene ontology results for each module from the network analysis of resistant genotypes.
DOI: 10.6084/m9.figshare.18866614.v1
title: Additional file 7 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 7: Additional Table 4. Gene ontology results for each module from the network analysis of susceptible genotypes.
DOI: 10.6084/m9.figshare.18866617.v1
title: Additional file 8 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 8: Additional Table 5. Gene ontology results for each eQTL hotspot.
DOI: 10.6084/m9.figshare.18866620.v1
title: Additional file 9 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 9: Additional Table 6. List of candidate genes identified through differential expression, network analysis, and eQTL mapping.
DOI: 10.6084/m9.figshare.18866595.v1
title: Additional file 1 of Fat-free/lean body mass in children with insulin resistance or metabolic syndrome: a systematic review and meta-analysis

description: Additional file 1: Table S1. Search strategy for systematic reviews and systematic review protocols. Table S2. PRISMA-S Checklist. Table S3. Quality assessment of the included cross-sectional studies. Table S4. Quality assessment of the included longitudinal study. Table S5. Quality assessment of the included clinical trial. Table S6. Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) summary of findings. Table S7. PRISMA 2020 for abstracts Checklist.
DOI: 10.6084/m9.figshare.18866628.v1
title: Additional file 1 of Concurrent validity of an immersive virtual reality version of the Box and Block Test to assess manual dexterity among patients with stroke

description: Additional file 1. Raw data. Data supporting the results and conclusion of this paper.
DOI: 10.6084/m9.figshare.18866593.v1
title: Additional file 12 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 12: Additional Table 9. Effector P v2.0 predicted protein summary.
DOI: 10.6084/m9.figshare.18866628
title: Additional file 1 of Concurrent validity of an immersive virtual reality version of the Box and Block Test to assess manual dexterity among patients with stroke

description: Additional file 1. Raw data. Data supporting the results and conclusion of this paper.
DOI: 10.6084/m9.figshare.18866590.v1
title: Additional file 11 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 11: Additional Table 8. Signal P predicted secretome.
DOI: 10.6084/m9.figshare.18866587.v1
title: Additional file 10 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 10: Additional Table 7. Summary statistics on differentially expressed M. americana transcripts.
DOI: 10.6084/m9.figshare.18866646
title: Additional file 1 of Third generation cephalosporin-resistant Klebsiella pneumoniae thriving in patients and in wastewater: what do they have in common?

description: Additional file 1 : Table S1. 3rd generation cephalosporin-resistant K. pneumoniae isolates characterized based on β-lactam and carbapenem encoding genes, antimicrobial resisitance phenotype, plasmid number, size and replicon types, conjugation properties and biofilm formation capacity. A total of 25 isolates were obtained from wastewater, 30 from patients and 4 from clinical settings. Table S2. Antimicrobial resistance phenotype and genotype transferred to transconjugants by the conjugative isolates from the 59 isolates of K. pneumoniae resistant to 3rd generation cephalosporins. + indicates detection of the trait, − indicates not detection of the trait, S, I and R indicate susceptible, intermediate and resistant to the antibiotic, and NA indicates not assessed because the trait was not detected in the donor cell. Table S3. Clusters obtained based on the pheno- and genotypic characteristics of the 3rd generation cephalosporin-resistant K. pneumoniae isolates and dominant characteristics observed in each cluster. Table S4. 3rd generation cephalosporin-resistant K. pneumoniae isolates genomes used for comparative genomic analysis. Table S5. Genes searched related to clinically-relevant properties on selected 3rd generation cephalosporin-resistant K. pneumoniae genomes. 1 indicates the detection of the gene and 0 indicates the not detection of the gene. For each gene it is indicated the allele that was detected, the number of genomes in which it was detected, the length of the gene and of the query, the number of different nucleotides in the query sequence and the number of gaps. The accession number and the database from which each gene allele was downloaded is also indicated. Table S6. Primer sequences and PCR amplification conditions used in this study.
DOI: 10.6084/m9.figshare.18866646.v1
title: Additional file 1 of Third generation cephalosporin-resistant Klebsiella pneumoniae thriving in patients and in wastewater: what do they have in common?

description: Additional file 1 : Table S1. 3rd generation cephalosporin-resistant K. pneumoniae isolates characterized based on β-lactam and carbapenem encoding genes, antimicrobial resisitance phenotype, plasmid number, size and replicon types, conjugation properties and biofilm formation capacity. A total of 25 isolates were obtained from wastewater, 30 from patients and 4 from clinical settings. Table S2. Antimicrobial resistance phenotype and genotype transferred to transconjugants by the conjugative isolates from the 59 isolates of K. pneumoniae resistant to 3rd generation cephalosporins. + indicates detection of the trait, − indicates not detection of the trait, S, I and R indicate susceptible, intermediate and resistant to the antibiotic, and NA indicates not assessed because the trait was not detected in the donor cell. Table S3. Clusters obtained based on the pheno- and genotypic characteristics of the 3rd generation cephalosporin-resistant K. pneumoniae isolates and dominant characteristics observed in each cluster. Table S4. 3rd generation cephalosporin-resistant K. pneumoniae isolates genomes used for comparative genomic analysis. Table S5. Genes searched related to clinically-relevant properties on selected 3rd generation cephalosporin-resistant K. pneumoniae genomes. 1 indicates the detection of the gene and 0 indicates the not detection of the gene. For each gene it is indicated the allele that was detected, the number of genomes in which it was detected, the length of the gene and of the query, the number of different nucleotides in the query sequence and the number of gaps. The accession number and the database from which each gene allele was downloaded is also indicated. Table S6. Primer sequences and PCR amplification conditions used in this study.
DOI: 10.6084/m9.figshare.18866650
title: Additional file 2 of how_are_we_stranded_here: quick determination of RNA-Seq strandedness

description: Additional file 2. Table S1: Library preparation and strand specificity reporting in paired-end RNA-Seq studies. Table S2: Differences in variation of reported how_are_we_stranded_here strand-specificity values using increasing numbers of reads. Table S3: Run times for how_are_we_stranded_here using the default 200,000 reads on a 2020 M1 Macbook Pro. Table S4: how_are_we_stranded_here results on RNA-Seq data. Table S5: List of RNA-Seq studies with strand specificity searched in methods. Table S6: Proportion of reads aligning to different genomes with fastqscreen
DOI: 10.6084/m9.figshare.18866650.v1
title: Additional file 2 of how_are_we_stranded_here: quick determination of RNA-Seq strandedness

description: Additional file 2. Table S1: Library preparation and strand specificity reporting in paired-end RNA-Seq studies. Table S2: Differences in variation of reported how_are_we_stranded_here strand-specificity values using increasing numbers of reads. Table S3: Run times for how_are_we_stranded_here using the default 200,000 reads on a 2020 M1 Macbook Pro. Table S4: how_are_we_stranded_here results on RNA-Seq data. Table S5: List of RNA-Seq studies with strand specificity searched in methods. Table S6: Proportion of reads aligning to different genomes with fastqscreen
DOI: 10.6084/m9.figshare.18866656.v1
title: Additional file 1 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 1: Table S1. Characteristics of 28 SSR loci in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866659
title: Additional file 2 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 2: Table S2. Sampling locations of 121 Erianthus accessions collected in Thailand, their grouping by each analysis, and size of amplified fragment in each accession.
DOI: 10.6084/m9.figshare.18866659.v1
title: Additional file 2 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 2: Table S2. Sampling locations of 121 Erianthus accessions collected in Thailand, their grouping by each analysis, and size of amplified fragment in each accession.
DOI: 10.6084/m9.figshare.18866662.v1
title: Additional file 3 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 3: Table S3. GenBank accession numbers of three non-coding regions of chloroplast DNA and their concatenated sequences in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866665
title: Additional file 4 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 4: Table S4. Statistical analysis of haplotype diversity, nucleotide diversity, and neutrality in each chloroplast DNA region in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866662
title: Additional file 3 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 3: Table S3. GenBank accession numbers of three non-coding regions of chloroplast DNA and their concatenated sequences in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866665.v1
title: Additional file 4 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 4: Table S4. Statistical analysis of haplotype diversity, nucleotide diversity, and neutrality in each chloroplast DNA region in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866656
title: Additional file 1 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 1: Table S1. Characteristics of 28 SSR loci in 121 Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866668.v1
title: Additional file 5 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 5: Table S5. Sequences of primers used for amplification and sequencing of chloroplast DNA regions in Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866668
title: Additional file 5 of Erianthus germplasm collection in Thailand: genetic structure and phylogenetic aspects of tetraploid and hexaploid accessions

description: Additional file 5: Table S5. Sequences of primers used for amplification and sequencing of chloroplast DNA regions in Thai Erianthus accessions.
DOI: 10.6084/m9.figshare.18866551.v1
title: Additional file 4 of Novel γ-sarcoglycan interactors in murine muscle membranes

description: Additional file 4: Table S3. Samples report for all proteins identified in immunoprecipitates from RIPA1 buffer. Normalized weighted spectral counts from all immunoprecipitations performed in RIPA1 buffer; dataset before manual curating, as described in Methods.
DOI: 10.6084/m9.figshare.18866548.v1
title: Additional file 3 of Novel γ-sarcoglycan interactors in murine muscle membranes

description: Additional file 3: Table S2. Samples report for all proteins identified in immunoprecipitates from Rx buffer. Normalized weighted spectral counts from all immunoprecipitations performed in Rx buffer; dataset before manual curating, as described in Methods.
DOI: 10.6084/m9.figshare.18866620
title: Additional file 9 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 9: Additional Table 6. List of candidate genes identified through differential expression, network analysis, and eQTL mapping.
DOI: 10.6084/m9.figshare.18866617
title: Additional file 8 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 8: Additional Table 5. Gene ontology results for each eQTL hotspot.
DOI: 10.6084/m9.figshare.18866614
title: Additional file 7 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 7: Additional Table 4. Gene ontology results for each module from the network analysis of susceptible genotypes.
DOI: 10.6084/m9.figshare.18866611
title: Additional file 6 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 6: Additional Table 3. Gene ontology results for each module from the network analysis of resistant genotypes.
DOI: 10.6084/m9.figshare.18866608
title: Additional file 5 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 5: Additional Table 2. Gene ontology results for each group of differentially expressed genes defined though the contrast of inoculated and the uninoculated control treatments.
DOI: 10.6084/m9.figshare.18866605
title: Additional file 4 of Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F2 progeny

description: Additional file 4: Additional Table 1. Gene ontology results for each group of differentially expressed genes defined though the contrast of susceptible and resistant genotypes.