cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21s7z2
title: CCDC 1900144: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc22jr9p
title: CCDC 1922722: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x218
title: CCDC 2052759: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x229
title: CCDC 2052760: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x23b
title: CCDC 2052761: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x24c
title: CCDC 2052762: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x25d
title: CCDC 2052763: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26x26f
title: CCDC 2052764: Experimental Crystal Structure Determination

description: Related Article: Ibuki Nakamura, Ryo Sumitani, Tomoyuki Mochida|2021|Cryst.Growth Des.|21|1861|doi:10.1021/acs.cgd.1c00004
DOI: 10.5517/ccdc.csd.cc26y7xb
title: CCDC 2053902: Experimental Crystal Structure Determination

description: Related Article: Yarkali Krishna, Fujie Tanaka|2021|Org.Lett.|23|1874|doi:10.1021/acs.orglett.1c00283
DOI: 10.6084/m9.figshare.12338633
title: Neat and P3HT-Based Blend Morphologies for PCBM and PTEG-1

description: The dataset contains:<b>1. Coarse-grained and backmapped morphologies. </b>The folder "<i>P3HT_PCBM/evap_11us/p3htpcbm_h12dA</i>" contains the morphology (and topology) of a P3HT:PCBM blend (replica <i>A</i>) obtained via CG solvent evaporation MD simulations with a drying time of 11 microseconds. The subfolder "<i>backmppd</i>" contains the corresponding backmapped, all-atom morphology.Analogously, the folders "<i>P3HT_PTEG1</i>", "<i>neat_PCBM</i>", and "<i>neat_PTEG1</i>"contain morphologies for P3HT:PTEG-1 blends, neat PCBM films, and neat PTEG-1 films, respectively.<br><b>2. GROMACS topology files.</b> These, both at the coarse-grain and all-atom level, can be found in the itps folder.<br><b>3. Mapping files. </b>The mapping files needed by <i>backward.py</i> (https://github.com/tsjerk/backward) to perform the backmapping can be found in the "<i>mapping_files</i>" folder.<br><b>References:</b>If you find the P3HT:PCBM data and topologies useful for your research please cite [<i>JACS</i> <b>2017</b>, 139, 3697-3705, DOI: 10.1021/jacs.6b11717].<br><br>If you find the P3HT:PTEG-1 data and topologies useful for your research please cite [<i>Adv. Funct. Mater.</i> <b>2020</b>, 2004799, DOI: 10.1002/adfm.202004799].
DOI: 10.6084/m9.figshare.12338633.v1
title: Neat and P3HT-Based Blend Morphologies for PCBM and PTEG-1

description: The dataset contains:<b>1. Coarse-grained and backmapped morphologies. </b>The folder "<i>P3HT_PCBM/evap_11us/p3htpcbm_h12dA</i>" contains the morphology (and topology) of a P3HT:PCBM blend (replica <i>A</i>) obtained via CG solvent evaporation MD simulations with a drying time of 11 microseconds. The subfolder "<i>backmppd</i>" contains the corresponding backmapped, all-atom morphology.Analogously, the folders "<i>P3HT_PTEG1</i>", "<i>neat_PCBM</i>", and "<i>neat_PTEG1</i>"contain morphologies for P3HT:PTEG-1 blends, neat PCBM films, and neat PTEG-1 films, respectively.<br><b>2. GROMACS topology files.</b> These, both at the coarse-grain and all-atom level, can be found in the itps folder.<br><b>3. Mapping files. </b>The mapping files needed by <i>backward.py</i> (https://github.com/tsjerk/backward) to perform the backmapping can be found in the "<i>mapping_files</i>" folder.<br><b>References:</b>If you find the P3HT:PCBM data and topologies useful for your research please cite [<i>JACS</i> <b>2017</b>, 139, 3697-3705, DOI: 10.1021/jacs.6b11717].<br><br>If you find the P3HT:PTEG-1 data and topologies useful for your research please cite [<i>Adv. Funct. Mater.</i> <b>2020</b>, 2004799, DOI: 10.1002/adfm.202004799].
DOI: 10.6084/m9.figshare.14175563
title: Environmental Awareness Result

description: score analysis for each EA indicator, actual score, and percentage
DOI: 10.25919/4qht-vp61
title: Yield and profitability of rice in the northwest region of Bangladesh

description: The data was collected as part of the ACIAR funded research project 'Dry season irrigation for the marginal and tenant farmers in the Eastern Gangetic Plains'. The data was collected during two crop seasons of 2015-16 and 2016-17.
DOI: 10.6084/m9.figshare.14175575
title: Ribosomal protein database of Pseudomonas syringae ATCC BAA-871

description: This work presents the ribosomal protein database of <i>Pseudomonas syringae </i>ATCC BAA-871. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14175575.v1
title: Ribosomal protein database of Pseudomonas syringae ATCC BAA-871

description: This work presents the ribosomal protein database of <i>Pseudomonas syringae </i>ATCC BAA-871. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.13028228.v1
title: Supplementary materials ajp final.docx

description: Supplementary material for red blood cell review
DOI: 10.14457/cu.the.1987.158
title: การผลิตปลาหมึกป่นเพื่อใช้เป็นส่วนประกอบอาหารกุ้ง
DOI: 10.6084/m9.figshare.13028228.v2
title: Supplementary materials ajp final.docx

description: Supplementary material for red blood cell review
DOI: 10.6084/m9.figshare.13977707
title: Environmental Awareness Questionnaire Score through SEA Assessment

description: The Environmental awareness questionnaire uses a Strategic Environmental Assessment (SEA) measurement tool with 6 indicators and 18 sub-indicators distributed to high school students to find out the EA profile
DOI: 10.5281/zenodo.4587522
title: Supplementary data for "Resampling of ENSO teleconnections" manuscript.

description: Supplementary data for the manuscript "Resampling of ENSO teleconnections: accounting for cold season evolution reduces uncertainty in the North Atlantic". Associated scripts and codes are also available in https://github.com/martin-king/kingetal_2020_resamplingenso. Materials in this archive can used for the purpose of reproducing analyses and figures in the manuscript. It is not intended as a release for general research use.
DOI: 10.6084/m9.figshare.14175700
title: Additional file 1 of Safety and efficacy of flexible and semi-rigid ureteroscopy with laser lithotripsy for the management of ureteral calculi in pregnancy

description: Additional file 1. Patients row and statistical data in Excel sheet.
DOI: 10.6084/m9.figshare.14175700.v1
title: Additional file 1 of Safety and efficacy of flexible and semi-rigid ureteroscopy with laser lithotripsy for the management of ureteral calculi in pregnancy

description: Additional file 1. Patients row and statistical data in Excel sheet.
DOI: 10.6084/m9.figshare.14175707.v1
title: Additional file 1 of Community-based organizations’ perspectives on improving health and social service integration

description: Additional file 1: Appendix 1. Detailed Methods. Appendix 2. Pre-Interview Survey. Appendix 3. Semi-Structured Interview Guide.
DOI: 10.6084/m9.figshare.14175707
title: Additional file 1 of Community-based organizations’ perspectives on improving health and social service integration

description: Additional file 1: Appendix 1. Detailed Methods. Appendix 2. Pre-Interview Survey. Appendix 3. Semi-Structured Interview Guide.
DOI: 10.6084/m9.figshare.14175709
title: Additional file 2 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 2: Annotations of ions in py-MBMS spectra
DOI: 10.6084/m9.figshare.14175709.v1
title: Additional file 2 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 2: Annotations of ions in py-MBMS spectra
DOI: 10.6084/m9.figshare.14175712.v1
title: Additional file 3 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 3: Summary of variance, maternal and paternal effects of each ion after TPS and tray correction
DOI: 10.6084/m9.figshare.14175712
title: Additional file 3 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 3: Summary of variance, maternal and paternal effects of each ion after TPS and tray correction
DOI: 10.6084/m9.figshare.14175715
title: Additional file 4 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 4: Comprehensive list of ions in 8 clusters from HC-SRC
DOI: 10.6084/m9.figshare.14175715.v1
title: Additional file 4 of Accurate determination of genotypic variance of cell wall characteristics of a Populus trichocarpa pedigree using high-throughput pyrolysis-molecular beam mass spectrometry

description: Additional file 4: Comprehensive list of ions in 8 clusters from HC-SRC
DOI: 10.6084/m9.figshare.14175718.v1
title: Additional file 1 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 1. Dataset with original downloaded ChEMBL bioactivities for hCA II, IX and XII.
DOI: 10.6084/m9.figshare.14175721
title: Additional file 2 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 2. KNIME workflow to generate the initial dataset.
DOI: 10.6084/m9.figshare.14175721.v1
title: Additional file 2 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 2. KNIME workflow to generate the initial dataset.
DOI: 10.6084/m9.figshare.14175724
title: Additional file 3 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 3. Initial dataset used for all machine learning experiments.
DOI: 10.6084/m9.figshare.14175718
title: Additional file 1 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 1. Dataset with original downloaded ChEMBL bioactivities for hCA II, IX and XII.
DOI: 10.6084/m9.figshare.14175736
title: Additional file 7 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 7. KNIME workflow to analyze results and generate output tables.
DOI: 10.6084/m9.figshare.14175736.v1
title: Additional file 7 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 7. KNIME workflow to analyze results and generate output tables.
DOI: 10.6084/m9.figshare.14175724.v1
title: Additional file 3 of Prediction of activity and selectivity profiles of human Carbonic Anhydrase inhibitors using machine learning classification models

description: Additional file 3. Initial dataset used for all machine learning experiments.
DOI: 10.6084/m9.figshare.14175754
title: Additional file 10 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 10: Table S8. Enrichment analysis full GO: over-represented GO annotations among genes differentially expressed during drought.
DOI: 10.6084/m9.figshare.14175757.v1
title: Additional file 11 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 11: Table S9. Enrichment analysis GO-SLIM: over-represented GO-SLIM annotations among genes differentially expressed during drought.
DOI: 10.6084/m9.figshare.14175760
title: Additional file 12 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 12: Table S10. Function, KEGG, and Arabidopsis thaliana homologous annotation for differentially expressed genes in significantly enriched GO categories.
DOI: 10.6084/m9.figshare.14175754.v1
title: Additional file 10 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 10: Table S8. Enrichment analysis full GO: over-represented GO annotations among genes differentially expressed during drought.
DOI: 10.6084/m9.figshare.14175757
title: Additional file 11 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 11: Table S9. Enrichment analysis GO-SLIM: over-represented GO-SLIM annotations among genes differentially expressed during drought.
DOI: 10.6084/m9.figshare.14175760.v1
title: Additional file 12 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 12: Table S10. Function, KEGG, and Arabidopsis thaliana homologous annotation for differentially expressed genes in significantly enriched GO categories.
DOI: 10.6084/m9.figshare.14175775
title: Additional file 16 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 16: Table S12. Candidate genes in the water/glycerol transport highlighted by our analysis.
DOI: 10.6084/m9.figshare.14175769
title: Additional file 14 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 14: Table S11. Candidate genes in the starch and sucrose pathways highlighted by our analysis.
DOI: 10.6084/m9.figshare.14175769.v1
title: Additional file 14 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 14: Table S11. Candidate genes in the starch and sucrose pathways highlighted by our analysis.
DOI: 10.6084/m9.figshare.14175775.v1
title: Additional file 16 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 16: Table S12. Candidate genes in the water/glycerol transport highlighted by our analysis.
DOI: 10.6084/m9.figshare.14175787.v1
title: Additional file 3 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 3: Table S2. Basic information on sequencing, processing and mapping of the RNA-Seq libraries.
DOI: 10.6084/m9.figshare.14175790
title: Additional file 4 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 4: Table S3. Gene read counts per library.
DOI: 10.6084/m9.figshare.14175790.v1
title: Additional file 4 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 4: Table S3. Gene read counts per library.
DOI: 10.6084/m9.figshare.14175787
title: Additional file 3 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 3: Table S2. Basic information on sequencing, processing and mapping of the RNA-Seq libraries.
DOI: 10.6084/m9.figshare.14175793
title: Additional file 5 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 5: Table S4. DEseq2-normalised gene read-counts per library.
DOI: 10.6084/m9.figshare.14175793.v1
title: Additional file 5 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 5: Table S4. DEseq2-normalised gene read-counts per library.
DOI: 10.6084/m9.figshare.14175796
title: Additional file 6 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 6: Table S5. Differential expression analysis between drought and control conditions.
DOI: 10.6084/m9.figshare.14175802.v1
title: Additional file 8 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 8: Table S6. Differential expression analysis between flooded and control conditions.
DOI: 10.6084/m9.figshare.14175796.v1
title: Additional file 6 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 6: Table S5. Differential expression analysis between drought and control conditions.
DOI: 10.6084/m9.figshare.14175802
title: Additional file 8 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 8: Table S6. Differential expression analysis between flooded and control conditions.
DOI: 10.6084/m9.figshare.14175805
title: Additional file 9 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 9: Table S7. Functional annotation of the M. sinensis genome with Gene Ontology (GO) terms.
DOI: 10.6084/m9.figshare.14175805.v1
title: Additional file 9 of Physiological and transcriptional response to drought stress among bioenergy grass Miscanthus species

description: Additional file 9: Table S7. Functional annotation of the M. sinensis genome with Gene Ontology (GO) terms.
DOI: 10.6084/m9.figshare.14175836.v1
title: Additional file 1 of Concept and development of an interactive tool for trial recruitment planning and management

description: Additional file 1.
DOI: 10.6084/m9.figshare.14175836
title: Additional file 1 of Concept and development of an interactive tool for trial recruitment planning and management

description: Additional file 1.
DOI: 10.6084/m9.figshare.14175889
title: Additional file 1 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 1: Supplementary Data File No 1. with list of DEGs in TR3RR RIL following BPH infestation
DOI: 10.6084/m9.figshare.14175892.v1
title: Additional file 2 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 2: Supplementary Data File No 2. with list of DEGs in TR3RR RIL following WBPH infestation
DOI: 10.6084/m9.figshare.14175892
title: Additional file 2 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 2: Supplementary Data File No 2. with list of DEGs in TR3RR RIL following WBPH infestation
DOI: 10.6084/m9.figshare.14175898.v1
title: Additional file 4 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 4: Supplementary Table S4. Mean fold values and Tukey’s HSD for separation of means for 20 genes validated with RT-PCR (semi-quantitative)
DOI: 10.6084/m9.figshare.14175901
title: Additional file 5 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 5: Supplementary Table S5. Mean fold values and Tukey’s HSD for separation of means for 14 genes validated with qRT-PCR (quantitative)
DOI: 10.6084/m9.figshare.14175889.v1
title: Additional file 1 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 1: Supplementary Data File No 1. with list of DEGs in TR3RR RIL following BPH infestation
DOI: 10.6084/m9.figshare.14175904
title: Additional file 6 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 6: Supplementary Table S6. List of significant miRNA and their reported target genes in RILs induced by infestation either by BPH or WBPH
DOI: 10.6084/m9.figshare.14175901.v1
title: Additional file 5 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 5: Supplementary Table S5. Mean fold values and Tukey’s HSD for separation of means for 14 genes validated with qRT-PCR (quantitative)
DOI: 10.6084/m9.figshare.14175904.v1
title: Additional file 6 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 6: Supplementary Table S6. List of significant miRNA and their reported target genes in RILs induced by infestation either by BPH or WBPH
DOI: 10.6084/m9.figshare.14175898
title: Additional file 4 of RNA-Sequencing Reveals Differentially Expressed Rice Genes Functionally Associated with Defense against BPH and WBPH in RILs Derived from a Cross between RP2068 and TN1

description: Additional file 4: Supplementary Table S4. Mean fold values and Tukey’s HSD for separation of means for 20 genes validated with RT-PCR (semi-quantitative)