cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11917836.v1
title: Figure6

description: Modeled results. Distributions of residual unit width water flux at the surface (a) and time-averaged salinity (b) from February 10 to 13, 2014 under climatic wind and residual water level at open sea boundaries. The dashed isohaline represents a salinity of 0.45; the red dot denotes the location of water intake for Qingcaosha Reservoir. Temporal variations in residual water flux (c) and salt flux (d) across Sec in the North Channel from February 6 to 24, 2014. Dashed line: under climatic wind and residual water level at open sea boundaries; solid red line: under realistic wind and residual water level at the open sea boundaries in February 2014. A positive value represents seaward flux, and a negative value represents landward flux.
DOI: 10.6084/m9.figshare.11917839.v1
title: Figure7

description: Distributions of the temporally averaged wind field from February 7 to 14, 2014, as simulated by the WRF model (a) and the time-averaged water level from February 10 to 13, 2014, as simulated by the model encompassing the Bohai Sea, Yellow Sea and East China Sea (b).
DOI: 10.6084/m9.figshare.11917830
title: ANG_Table_S2_Biochemistry.docx

description: Biochemistry results of blood and urine
DOI: 10.6084/m9.figshare.11917833.v1
title: Figure5

description: Temporal variations in the observed and modeled data. Water level (a) and salinity (b) at hydrologic station Baozhen in February 2014. Black line: observed; blue line: simulated under climatic wind and residual water level at open sea boundaries; red line: simulated under realistic wind and residual water level at open sea boundaries.
DOI: 10.6084/m9.figshare.11917803
title: Figure2

description: Temporal variations in the measured data in February. a: salinity at hydrologic stations Baozhen (black line), Nanmen (blue line), Chongxi (green line) and Qingcaosha (red line), the dashed line represents a salinity of 0.45, which is the standard for drinking water; b: river discharge at Datong station; (c): wind vector at WS; (d): water level rise at hydrologic stations Sheshan (black line) and Luchaogang (red line).
DOI: 10.6084/m9.figshare.11917821
title: Figure4

description: Distributions of the climatic wind field (a) and residual water level (b) in February.
DOI: 10.6084/m9.figshare.11917803.v1
title: Figure2.zip

description: Temporal variations in the measured data. River discharge at Datong station (a) and salinity at Baozhen station (b) in February since 2010. Salinity at hydrologic stations Nanmen (black line), Chongxi (green line) and QCSR (red line) (c, the dashed line represents a salinity of 0.45, which is the standard for drinking water); the measured water level rise at hydrologic stations Sheshan (red line) and Luchaogang (black line) (d); and the measured wind vector (e) and simulated wind vector by the WRF model (f) at WS in February 2014.
DOI: 10.6084/m9.figshare.11917821.v1
title: Figure4

description: Distributions of the climatic wind field (a) and residual water level (b) in February.
DOI: 10.6084/m9.figshare.11917803.v3
title: Figure2

description: Temporal variations in the measured data in February. a: salinity at hydrologic stations Baozhen (black line), Nanmen (blue line), Chongxi (green line) and Qingcaosha (red line), the dashed line represents a salinity of 0.45, which is the standard for drinking water; b: river discharge at Datong station; (c): wind vector at WS; (d): water level rise at hydrologic stations Sheshan (black line) and Luchaogang (red line).
DOI: 10.6084/m9.figshare.11917674
title: Ge_Three_Gorges_Dam_Work_Data

description: The FVCOM-ERSEM modeling results for the regulation impact of the Three Gorges Dam on the Changjiang Estuary and East China Sea
DOI: 10.6084/m9.figshare.11917803.v2
title: Figure2

description: Temporal variations in the measured data. River discharge at Datong station (a) and salinity at Baozhen station (b) in February since 2010. Salinity at hydrologic stations Nanmen (black line), Chongxi (green line) and QCSR (red line) (c, the dashed line represents a salinity of 0.45, which is the standard for drinking water); the measured water level rise at hydrologic stations Sheshan (red line) and Luchaogang (black line) (d); and the measured wind vector (e) and simulated wind vector by the WRF model (f) at WS in February 2014.
DOI: 10.6084/m9.figshare.11917593
title: Meta_data.zip

description: Data from Weixing Liu, Lin Jiang, Sen Yang, Zhou Wang, Rui Tian, Ziyang Peng, Yongliang Chen, Xingxu Zhang, Jialiang Kuang, Ning Ling, Shaopeng Wang; Lingli Liu. <b>Critical transition of soil bacterial diversity and composition triggered by nitrogen enrichment</b>
DOI: 10.6084/m9.figshare.11917674.v1
title: Ge_Three_Gorges_Dam_Work_Data

description: The FVCOM-ERSEM modeling results for the regulation impact of the Three Gorges Dam on the Changjiang Estuary and East China Sea
DOI: 10.6084/m9.figshare.11917332
title: Additional file 6 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 6: Table S1. All metrics for AWB and BGS long-read assemblies. Table S2. All metrics for AWB hybrid assemblies. Table S3. Overlapping structural variants and genes in AWB. Table S4. Overlapping structural variants and genes in BGS. Table S5. Overlapping structural variants and genes in Giardia beaver. Table S6. Top performing AWB and BGS long-read assemblies. Table S7. Summarized assembler metrics in AWB long-read assemblies. Table S8. Summarized assembler metrics in BGS long-read assemblies. Table S9. Summarized metrics for 1D vs 1Dsq AWB long-read assemblies. Table S10. Summarized metrics for 1D vs 1Dsq BGS long-read assemblies. Table S11. All metrics for corresponding 1D and 1Dsq AWB and BGS long-read assemblies. Table S12. Summarized metrics for pooling input AWB long-read assemblies. Table S13. Summarized metrics for pooling input BGS long-read assemblies. Table S14. Summarized metrics for polishing AWB long-read assemblies. Table S15. Summarized metrics for polishing BGS long-read assemblies.
DOI: 10.6084/m9.figshare.11917332.v1
title: Additional file 6 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 6: Table S1. All metrics for AWB and BGS long-read assemblies. Table S2. All metrics for AWB hybrid assemblies. Table S3. Overlapping structural variants and genes in AWB. Table S4. Overlapping structural variants and genes in BGS. Table S5. Overlapping structural variants and genes in Giardia beaver. Table S6. Top performing AWB and BGS long-read assemblies. Table S7. Summarized assembler metrics in AWB long-read assemblies. Table S8. Summarized assembler metrics in BGS long-read assemblies. Table S9. Summarized metrics for 1D vs 1Dsq AWB long-read assemblies. Table S10. Summarized metrics for 1D vs 1Dsq BGS long-read assemblies. Table S11. All metrics for corresponding 1D and 1Dsq AWB and BGS long-read assemblies. Table S12. Summarized metrics for pooling input AWB long-read assemblies. Table S13. Summarized metrics for pooling input BGS long-read assemblies. Table S14. Summarized metrics for polishing AWB long-read assemblies. Table S15. Summarized metrics for polishing BGS long-read assemblies.
DOI: 10.6084/m9.figshare.11917317
title: Additional file 4 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 4. Draft annotation (gff format) of beaver hybrid genome.
DOI: 10.6084/m9.figshare.11917317.v1
title: Additional file 4 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 4. Draft annotation (gff format) of beaver hybrid genome.
DOI: 10.6084/m9.figshare.11917311
title: Additional file 3 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 3: Draft annotation (gff format) of BGS hybrid genome.
DOI: 10.6084/m9.figshare.11917311.v1
title: Additional file 3 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 3: Draft annotation (gff format) of BGS hybrid genome.
DOI: 10.6084/m9.figshare.11917302
title: Additional file 2 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 2: Draft annotation (gff format) of AWB hybrid genome.
DOI: 10.6084/m9.figshare.11917302.v1
title: Additional file 2 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 2: Draft annotation (gff format) of AWB hybrid genome.
DOI: 10.6084/m9.figshare.11917293
title: Additional file 1 of Complementary feeding practices and nutrient intakes of children aged 6–24 months from Bangladeshi background living in Tower Hamlets, East London: a feasibility study

description: Additional file 1: Table S1. Maternal Anthropometric Characteristics. A table that includes some maternal anthropometric data including BMI and BMI class, shown as number and %.
DOI: 10.6084/m9.figshare.11917296
title: Additional file 1 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 1: Text S1. Plaintext of commands used in analyses.
DOI: 10.6084/m9.figshare.11917293.v1
title: Additional file 1 of Complementary feeding practices and nutrient intakes of children aged 6–24 months from Bangladeshi background living in Tower Hamlets, East London: a feasibility study

description: Additional file 1: Table S1. Maternal Anthropometric Characteristics. A table that includes some maternal anthropometric data including BMI and BMI class, shown as number and %.
DOI: 10.6084/m9.figshare.11917296.v1
title: Additional file 1 of Benchmarking hybrid assemblies of Giardia and prediction of widespread intra-isolate structural variation

description: Additional file 1: Text S1. Plaintext of commands used in analyses.
DOI: 10.6084/m9.figshare.11917164
title: Additional file 3 of Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

description: Table S8. Summary of all mutation data of the MonReC cohort.
DOI: 10.6084/m9.figshare.11917164.v1
title: Additional file 3 of Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

description: Table S8. Summary of all mutation data of the MonReC cohort.
DOI: 10.6084/m9.figshare.11917155
title: Additional file 2 of Comprehensive characterization of cell-free tumor DNA in plasma and urine of patients with renal tumors

description: Bed file showing all genomic regions targeted by INVAR-TAPAS of DIAMOND patients.
DOI: 10.6084/m9.figshare.11917149
title: Additional file 2 of Genes with human-specific features are primarily involved with brain, immune and metabolic evolution

description: Additional file 2 (XLSX 140 KB)
DOI: 10.6084/m9.figshare.11917149.v1
title: Additional file 2 of Genes with human-specific features are primarily involved with brain, immune and metabolic evolution

description: Additional file 2 (XLSX 140 KB)
DOI: 10.6084/m9.figshare.11917113
title: Additional file 1 of Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis

description: Additional file 1. Analysed dataset.
DOI: 10.6084/m9.figshare.11917113.v1
title: Additional file 1 of Comparison of exclusion, imputation and modelling of missing binary outcome data in frequentist network meta-analysis

description: Additional file 1. Analysed dataset.
DOI: 10.6084/m9.figshare.11917092
title: Additional file 1 of Cost of inappropriate antimicrobial use for upper respiratory infection in Japan

description: Additional file 1. Supplementary Spreadsheet. Details of the discussion process to judge appropriateness of antibiotic prescription.
DOI: 10.6084/m9.figshare.11917092.v1
title: Additional file 1 of Cost of inappropriate antimicrobial use for upper respiratory infection in Japan

description: Additional file 1. Supplementary Spreadsheet. Details of the discussion process to judge appropriateness of antibiotic prescription.
DOI: 10.6084/m9.figshare.11916993
title: Additional file 9 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 9: File S2.Â List of reactions and metabolites of D2 reduced model.
DOI: 10.6084/m9.figshare.11916993.v1
title: Additional file 9 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 9: File S2.Â List of reactions and metabolites of D2 reduced model.
DOI: 10.6084/m9.figshare.11916945
title: Additional file 1 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 1: Table S1. Steady state solution used in building kinetic model. Table S2.Comparison of experimentally observed and in silico obtained growth rates. Table S3. Abbreviations from Fig. 4. Table S4. Differences in directionalities between FBA and TFA. Table S5. Gene essentiality in rGEM (D2) and GEM. Table S6. Correlation between control coefficients of specific growth and ATP concentration with respect to most important enzymes. Table S7. Content of glucose minimal media. Table S8. Values of Michaelis constants for the Pseudomonas genus acquired from the Brenda database. Table S9. Allowable thermodynamically feasible concentrations of ATP with and without including SADT2 in the metabolic network of P. putida and E. coli together with the available experimental values.
DOI: 10.6084/m9.figshare.11916945.v1
title: Additional file 1 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 1: Table S1. Steady state solution used in building kinetic model. Table S2.Comparison of experimentally observed and in silico obtained growth rates. Table S3. Abbreviations from Fig. 4. Table S4. Differences in directionalities between FBA and TFA. Table S5. Gene essentiality in rGEM (D2) and GEM. Table S6. Correlation between control coefficients of specific growth and ATP concentration with respect to most important enzymes. Table S7. Content of glucose minimal media. Table S8. Values of Michaelis constants for the Pseudomonas genus acquired from the Brenda database. Table S9. Allowable thermodynamically feasible concentrations of ATP with and without including SADT2 in the metabolic network of P. putida and E. coli together with the available experimental values.
DOI: 10.6084/m9.figshare.11916939
title: Additional file 13 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 13: File S1. List of reactions and metabolites of D1Â reduced model.
DOI: 10.6084/m9.figshare.11916939.v1
title: Additional file 13 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 13: File S1. List of reactions and metabolites of D1Â reduced model.
DOI: 10.6084/m9.figshare.11916930
title: Additional file 11 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 11: File S4. Consistency checks for the D1, D2, and D3 reduced models.
DOI: 10.6084/m9.figshare.11916924
title: Additional file 10 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 10: File S3. List of reactions and metabolites of D3Â reduced model.
DOI: 10.6084/m9.figshare.11916930.v1
title: Additional file 11 of Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies

description: Additional file 11: File S4. Consistency checks for the D1, D2, and D3 reduced models.
DOI: 10.6084/m9.figshare.11916921
title: Additional file 2 of Injections of concentrated bone marrow aspirate as treatment for Discogenic pain: a retrospective analysis

description: Additional file 2. Supplementary Dataset.
DOI: 10.6084/m9.figshare.11916921.v1
title: Additional file 2 of Injections of concentrated bone marrow aspirate as treatment for Discogenic pain: a retrospective analysis

description: Additional file 2. Supplementary Dataset.
DOI: 10.6084/m9.figshare.11916786
title: Additional file 1 of Single-cell transcriptome analysis reveals TOX as a promoting factor for T cell exhaustion and a predictor for anti-PD-1 responses in human cancer

description: Additional file 1:Table S1. DEGs between PDCD1-high and PDCD1-low subset of CD8+ T cells in human melanoma and lung cancer.
DOI: 10.6084/m9.figshare.11916786.v1
title: Additional file 1 of Single-cell transcriptome analysis reveals TOX as a promoting factor for T cell exhaustion and a predictor for anti-PD-1 responses in human cancer

description: Additional file 1:Table S1. DEGs between PDCD1-high and PDCD1-low subset of CD8+ T cells in human melanoma and lung cancer.
DOI: 10.6084/m9.figshare.11916774
title: Additional file 3 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 3: Table S3. Human oligonucleotide probes targeting various mitochondrial gene locus that were specific to humans by in silico test but amplified pig or dog DNA by in vitro test.
DOI: 10.6084/m9.figshare.11916768
title: Additional file 2 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 2: Table S2. Data on conventional PCR host detection status, qPCR Cq value and host DNA concentration for mosquitoes with mixed bloodmeals.
DOI: 10.6084/m9.figshare.11916774.v1
title: Additional file 3 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 3: Table S3. Human oligonucleotide probes targeting various mitochondrial gene locus that were specific to humans by in silico test but amplified pig or dog DNA by in vitro test.
DOI: 10.6084/m9.figshare.11916765
title: Additional file 1 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 1: Table S1. Data on conventional PCR host detection status, qPCR Cq value and host DNA concentration for mosquitoes with single bloodmeal.
DOI: 10.6084/m9.figshare.11916768.v1
title: Additional file 2 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 2: Table S2. Data on conventional PCR host detection status, qPCR Cq value and host DNA concentration for mosquitoes with mixed bloodmeals.
DOI: 10.6084/m9.figshare.11916732
title: C1_1.fastq.gz

description: Positive dataset containing 110 thousand simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916765.v1
title: Additional file 1 of Probe-based multiplex qPCR identifies blood-meal hosts in Anopheles mosquitoes from Papua New Guinea

description: Additional file 1: Table S1. Data on conventional PCR host detection status, qPCR Cq value and host DNA concentration for mosquitoes with single bloodmeal.
DOI: 10.6084/m9.figshare.11916720
title: High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses

description: Many technological applications depend on the response of materials to electric fields, but available databases of such responses are limited. Here, we explore the infrared, piezoelectric and dielectric properties of inorganic materials by combining high-throughput density functional perturbation theory and machine learning approaches. We compute {\Gamma}-point phonons, infrared intensities, Born-effective charges, piezoelectric, and dielectric tensors for 5015 materials in the JARVIS-DFT database. We find 3230 and 1943 materials with at least one far and mid-infrared mode, respectively. We identify 577 high-piezoelectric materials, using a threshold of 0.5 C/m2. Using a threshold of 20, we find 593 potential high-dielectric materials. Importantly, we analyze the chemistry, symmetry, dimensionality, and geometry of the materials to find features that help explain variations in our datasets. Finally, we develop high-accuracy regression models for the highest infrared frequency and maximum Born-effective charges, and classification models for maximum piezoelectric and average dielectric tensors to accelerate discovery.
DOI: 10.6084/m9.figshare.11916726
title: Data for STOTEN-D-20-04678

description: Data for STOTEN-D-20-04678
DOI: 10.6084/m9.figshare.11916729
title: C1_2.fastq.gz

description: Positive dataset containing 110 thousand simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916732.v1
title: C1_1.fastq.gz

description: Positive dataset containing 110 thousand simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916729.v1
title: C1_2.fastq.gz

description: Positive dataset containing 110 thousand simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916714
title: Simulated mean wave direction (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment r1i1p1f1

description: Simulated mean wave direction (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment (one of future scenarios) r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.6084/m9.figshare.11916726.v2
title: Data for STOTEN-D-20-04678

description: Data for STOTEN-D-20-04678
DOI: 10.6084/m9.figshare.11916714.v1
title: Simulated mean wave direction (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment r1i1p1f1

description: Simulated mean wave direction (3-hourly, 2015.01-2100.12) from FIO-ESM v2.0 ssp585 experiment (one of future scenarios) r1i1p1f1. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.6084/m9.figshare.11916660
title: DC2_2.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs diluted with simulated linear mRNA reads<br>
DOI: 10.6084/m9.figshare.11916657
title: DC2_1.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs diluted with simulated linear mRNA reads<br>
DOI: 10.6084/m9.figshare.11916660.v1
title: DC2_2.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs diluted with simulated linear mRNA reads<br>
DOI: 10.6084/m9.figshare.11916657.v1
title: DC2_1.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs diluted with simulated linear mRNA reads<br>
DOI: 10.5517/ccdc.csd.cc2575wh
title: CCDC 2002906: Experimental Crystal Structure Determination

description: Related Article: Lijun Zhai, Yulan Niu, Xi Chen, Zhiyan Dong, Yun Gao, Yingqi Zhang, Bing Li, Liming Fan|2020|Inorg.Chem.Commun.|119|108121|doi:10.1016/j.inoche.2020.108121
DOI: 10.6084/m9.figshare.11916609
title: C2_2.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916612
title: C2_1.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916612.v1
title: C2_1.fastq.gz

description: Positive dataset containing 1000 simulated circRNAs<br>
DOI: 10.6084/m9.figshare.11916501
title: NEED workshop discussions.zip

description: NEED workshop discussion transcripts.
DOI: 10.6084/m9.figshare.11916504
title: NEED workshops - participant lists

description: Participant lists for NEED workshops.