cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5203201.v1
title: Data file 5 from Increased SBPase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions

description: To meet the growing demand for food, substantial improvements in yields are needed. This is particularly the case for wheat, where global yield has stagnated in recent years. Increasing photosynthesis has been identified as a primary target to achieve yield improvements. To increase leaf photosynthesis in wheat, the level of the Calvin–Benson cycle enzyme sedoheptulose-1,7-biphosphatase (SBPase) has been increased through transformation and expression of a <i>Brachypodium dystachion</i> SBPase gene construct. Transgenic lines with increased SBPase protein levels and activity were grown under greenhouse conditions and showed enhanced leaf photosynthesis and increased total biomass and dry seed yield. This showed the potential of improving yield potential by increasing leaf photosynthesis in a crop species such as wheat. The results are discussed with regards to future strategies for further improvement of photosynthesis in wheat.This article is part of the themed issue ‘Enhancing photosynthesis in crop plants: targets for improvement’.
DOI: 10.6084/m9.figshare.5203237.v2
title: Data file 3 from Increased SBPase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions.

description: The raw data output from the Licor 6400 for results presented in Figure 4.
DOI: 10.6084/m9.figshare.5203237.v1
title: Data file 3 from Increased SBPase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions

description: The raw data output from the Licor 6400 for results presented in Figure 4.
DOI: 10.6084/m9.figshare.5203258.v2
title: Data file 4 from Increased SBPase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions.

description: Calculation of Vcmax and Jmax using the data presented in Figure 3.
DOI: 10.6084/m9.figshare.5203258.v1
title: Data file 4 from Increased SBPase activity improves photosynthesis and grain yield in wheat grown in greenhouse conditions

description: Calculation of Vcmax and Jmax using the data presented in Figure 3.
DOI: 10.6084/m9.figshare.5203165.v2
title: Data from Adaptation to public goods cheats in <i>Pseudomonas aeruginosa</i>.

description: Raw data
DOI: 10.6084/m9.figshare.5203165.v1
title: Data from Adaptation to public goods cheats in <i>Pseudomonas aeruginosa</i>

description: Raw data
DOI: 10.6084/m9.figshare.13102505
title: dataset for schooltofarming

description: Survey data were collected from graduates in June 2016. The goal of this data serving is to try to understand if the school-to-work process in China is developing in a way that is beneficial to sustainable agriculture by improving the scarcity of young farmers and rapid aging of the farming labor in China.
DOI: 10.6084/m9.figshare.5387521
title: Matlab package for the Gait and Posture experiment from Pedestrian motion modelled by Fokker–Planck Nash games.

description: This matlab package is set up to reproduce the results of test case 4: Gait and Posture. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5387524
title: Matlab package for the Turnwald-1C-A3 experiment from Pedestrian motion modelled by Fokker–Planck Nash games.

description: This matlab package is set up to reproduce the results of test case 2: Turnwald 1C-A3. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5387521.v2
title: Matlab package for the Gait and Posture experiment from Pedestrian motion modelled by Fokker–Planck Nash games.

description: This matlab package is set up to reproduce the results of test case 4: Gait and Posture. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5387524.v2
title: Matlab package for the Turnwald-1C-A3 experiment from Pedestrian motion modelled by Fokker–Planck Nash games.

description: This matlab package is set up to reproduce the results of test case 2: Turnwald 1C-A3. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5387521.v1
title: Matlab package for the Gait and Posture experiment from Pedestrian motion modelled by Fokker–Planck Nash games

description: This matlab package is set up to reproduce the results of test case 4: Gait and Posture. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5387524.v1
title: Matlab package for the Turnwald-1C-A3 experiment from Pedestrian motion modelled by Fokker–Planck Nash games

description: This matlab package is set up to reproduce the results of test case 2: Turnwald 1C-A3. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.6084/m9.figshare.5418907
title: Table S1. Protein sequence accession numbers from Novel and divergent genes in the evolution of placental mammals.

description: List of NCBI and Ensembl protein IDs used to generate the combined data set, numerical identifiers for the Homology Group each protein was placed into, and indication of whether genes/HG were assigned to Novel Ancestral Placental and Novel Core Placental HG. Excel file.
DOI: 10.6084/m9.figshare.5418916
title: Table S2. Numbers of proteins analysed per species from Novel and divergent genes in the evolution of placental mammals.

description: The number of protein IDs in the original NCBI and Ensembl protein data used. Excel file.
DOI: 10.6084/m9.figshare.5418907.v1
title: Table S1. Protein sequence accession numbers from Novel and divergent genes in the evolution of placental mammals

description: List of NCBI and Ensembl protein IDs used to generate the combined data set, numerical identifiers for the Homology Group each protein was placed into, and indication of whether genes/HG were assigned to Novel Ancestral Placental and Novel Core Placental HG. Excel file.
DOI: 10.6084/m9.figshare.5418916.v2
title: Table S2. Numbers of proteins analysed per species from Novel and divergent genes in the evolution of placental mammals.

description: The number of protein IDs in the original NCBI and Ensembl protein data used. Excel file.
DOI: 10.6084/m9.figshare.5418916.v1
title: Table S2. Numbers of proteins analysed per species from Novel and divergent genes in the evolution of placental mammals

description: The number of protein IDs in the original NCBI and Ensembl protein data used. Excel file.
DOI: 10.6084/m9.figshare.5418919
title: Table S4. Proteins used for phylogenetic analysis from Novel and divergent genes in the evolution of placental mammals.

description: IDs of the selected proteins from each Novel Core Placental Homology Group used for phylogenetic analysis, including amino acid sequences after alignment and trimming. Excel file.
DOI: 10.6084/m9.figshare.5418904
title: Table S3. Assignment of proteins to Homology Groups from Novel and divergent genes in the evolution of placental mammals.

description: List of all 20363 Homology Groups giving the number of proteins in each Homology Group in each species, and which HG belong to the Novel Ancestral Placental and Novel Core Placental categories. Excel file.
DOI: 10.6084/m9.figshare.5418904.v2
title: Table S3. Assignment of proteins to Homology Groups from Novel and divergent genes in the evolution of placental mammals.

description: List of all 20363 Homology Groups giving the number of proteins in each Homology Group in each species, and which HG belong to the Novel Ancestral Placental and Novel Core Placental categories. Excel file.
DOI: 10.6084/m9.figshare.5418910
title: Table S5. Expression data for human genes from Novel and divergent genes in the evolution of placental mammals.

description: Raw and normalised FPKM gene expression values for all human genes in Novel Ancestral Placental and Novel Core Placental Homology Groups. Excel file.
DOI: 10.6084/m9.figshare.5418904.v1
title: Table S3. Assignment of proteins to Homology Groups from Novel and divergent genes in the evolution of placental mammals

description: List of all 20363 Homology Groups giving the number of proteins in each Homology Group in each species, and which HG belong to the Novel Ancestral Placental and Novel Core Placental categories. Excel file.
DOI: 10.6084/m9.figshare.5418919.v2
title: Table S4. Proteins used for phylogenetic analysis from Novel and divergent genes in the evolution of placental mammals.

description: IDs of the selected proteins from each Novel Core Placental Homology Group used for phylogenetic analysis, including amino acid sequences after alignment and trimming. Excel file.
DOI: 10.6084/m9.figshare.5418910.v2
title: Table S5. Expression data for human genes from Novel and divergent genes in the evolution of placental mammals.

description: Raw and normalised FPKM gene expression values for all human genes in Novel Ancestral Placental and Novel Core Placental Homology Groups. Excel file.
DOI: 10.6084/m9.figshare.5418919.v1
title: Table S4. Proteins used for phylogenetic analysis from Novel and divergent genes in the evolution of placental mammals

description: IDs of the selected proteins from each Novel Core Placental Homology Group used for phylogenetic analysis, including amino acid sequences after alignment and trimming. Excel file.
DOI: 10.6084/m9.figshare.5418910.v1
title: Table S5. Expression data for human genes from Novel and divergent genes in the evolution of placental mammals

description: Raw and normalised FPKM gene expression values for all human genes in Novel Ancestral Placental and Novel Core Placental Homology Groups. Excel file.
DOI: 10.6084/m9.figshare.5501470
title: Phylogenetic tree used in analysis from Variation in recombination frequency and distribution across eukaryotes: patterns and processes.

description: Recombination, the exchange of DNA between maternal and paternal chromosomes during meiosis, is an essential feature of sexual reproduction in nearly all multicellular organisms. While the role of recombination in the evolution of sex has received theoretical and empirical attention, less is known about how recombination rate <i>itself</i> evolves and what influence this has on evolutionary processes within sexually reproducing organisms. Here, we explore the patterns of, and processes governing recombination in eukaryotes. We summarize patterns of variation, integrating current knowledge with an analysis of linkage map data in 353 organisms. We then discuss proximate and ultimate processes governing recombination rate variation and consider how these influence evolutionary processes. Genome-wide recombination rates (cM/Mb) can vary more than tenfold across eukaryotes, and there is large variation in the distribution of recombination events across closely related taxa, populations and individuals. We discuss how variation in rate and distribution relates to genome architecture, genetic and epigenetic mechanisms, sex, environmental perturbations and variable selective pressures. There has been great progress in determining the molecular mechanisms governing recombination, and with the continued development of new modelling and empirical approaches, there is now also great opportunity to further our understanding of how and why recombination rate varies.This article is part of the themed issue ‘Evolutionary causes and consequences of recombination rate variation in sexual organisms’.
DOI: 10.6084/m9.figshare.5501470.v2
title: Phylogenetic tree used in analysis from Variation in recombination frequency and distribution across eukaryotes: patterns and processes.

description: Recombination, the exchange of DNA between maternal and paternal chromosomes during meiosis, is an essential feature of sexual reproduction in nearly all multicellular organisms. While the role of recombination in the evolution of sex has received theoretical and empirical attention, less is known about how recombination rate <i>itself</i> evolves and what influence this has on evolutionary processes within sexually reproducing organisms. Here, we explore the patterns of, and processes governing recombination in eukaryotes. We summarize patterns of variation, integrating current knowledge with an analysis of linkage map data in 353 organisms. We then discuss proximate and ultimate processes governing recombination rate variation and consider how these influence evolutionary processes. Genome-wide recombination rates (cM/Mb) can vary more than tenfold across eukaryotes, and there is large variation in the distribution of recombination events across closely related taxa, populations and individuals. We discuss how variation in rate and distribution relates to genome architecture, genetic and epigenetic mechanisms, sex, environmental perturbations and variable selective pressures. There has been great progress in determining the molecular mechanisms governing recombination, and with the continued development of new modelling and empirical approaches, there is now also great opportunity to further our understanding of how and why recombination rate varies.This article is part of the themed issue ‘Evolutionary causes and consequences of recombination rate variation in sexual organisms’.
DOI: 10.6084/m9.figshare.5501470.v1
title: Phylogenetic tree used in analysis from Variation in recombination frequency and distribution across eukaryotes: patterns and processes

description: Recombination, the exchange of DNA between maternal and paternal chromosomes during meiosis, is an essential feature of sexual reproduction in nearly all multicellular organisms. While the role of recombination in the evolution of sex has received theoretical and empirical attention, less is known about how the recombination rate <i>itself</i> evolves and what influence this has on evolutionary processes within sexually reproducing organisms. Here, we explore the patterns of, and processes governing recombination in eukaryotes. We summarize patterns of variation, integrating current knowledge with analysis of linkage map data in 353 organisms. We then discuss proximate and ultimate processes governing recombination rate variation and consider how these influence evolutionary processes. Genome-wide recombination (cM/Mb) rates can vary more than tenfold across eukaryotes, and there is large variation in the distribution of recombination events across closely related taxa, populations and individuals. We discuss how variation in rate and distribution relates to genome architecture, genetic and epigenetic mechanisms, sex, environmental perturbations and variable selective pressures. There has been great progress in determining the molecular mechanisms governing recombination, and with the continued development of new modelling and empirical approaches, there is now also great opportunity to further our understanding of how and why the recombination rate varies.This article is part of the themed issue ‘Evolutionary causes and consequences of recombination rate variation in sexual organisms’.
DOI: 10.6084/m9.figshare.5532073
title: Script and raw data;supplementary informations from Bioclimatic niches are conserved and unrelated to pollination syndromes in Antillean Gesneriaceae.

description: R script and data used for the analyses presented in the paper;supplementary tables and figures
DOI: 10.6084/m9.figshare.5555215
title: DataSynthesis.xls from Multiscale tarsal adhesion kinematics of freely-walking dock beetles.

description: Data file
DOI: 10.6084/m9.figshare.5532073.v2
title: Script and raw data;supplementary informations from Bioclimatic niches are conserved and unrelated to pollination syndromes in Antillean Gesneriaceae.

description: R script and data used for the analyses presented in the paper;supplementary tables and figures
DOI: 10.6084/m9.figshare.5555230
title: Data_overview.rtf from Multiscale tarsal adhesion kinematics of freely-walking dock beetles.

description: Explanation of the structure of the data file
DOI: 10.6084/m9.figshare.5532073.v1
title: Script and raw data;supplementary informations from Bioclimatic niches are conserved and unrelated to pollination syndromes in Antillean Gesneriaceae

description: R script and data used for the analyses presented in the paper;supplementary tables and figures
DOI: 10.6084/m9.figshare.5555215.v1
title: DataSynthesis.xls from Multiscale tarsal adhesion kinematics of freely-walking dock beetles

description: Data file
DOI: 10.6084/m9.figshare.5555230.v2
title: Data_overview.rtf from Multiscale tarsal adhesion kinematics of freely-walking dock beetles.

description: Explanation of the structure of the data file
DOI: 10.6084/m9.figshare.5555230.v1
title: Data_overview.rtf from Multiscale tarsal adhesion kinematics of freely-walking dock beetles

description: Explanation of the structure of the data file
DOI: 10.6084/m9.figshare.5624917
title: Supplementary dataset comprising “edge” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624917.v2
title: Supplementary dataset comprising “edge” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624917.v1
title: Supplementary dataset comprising “edge” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624920
title: Expanded supplementary dataset comprising all raw feeding data utilized in this study. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Expanded supplementary dataset comprising all raw feeding data utilized in this study, as well as more specific taxonomic identifications than presented in the figures.
DOI: 10.6084/m9.figshare.5624923
title: Supplementary dataset comprising “node” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624923.v2
title: Supplementary dataset comprising “node” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624923.v1
title: Supplementary dataset comprising “node” data for the food web. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations

description: Supplementary dataset comprising “edge” data for the food web, referenced from the S1 R-Markdown file.
DOI: 10.6084/m9.figshare.5624920.v2
title: Expanded supplementary dataset comprising all raw feeding data utilized in this study. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations.

description: Expanded supplementary dataset comprising all raw feeding data utilized in this study, as well as more specific taxonomic identifications than presented in the figures.
DOI: 10.6084/m9.figshare.5624920.v1
title: Expanded supplementary dataset comprising all raw feeding data utilized in this study. from Deep pelagic food web structure as revealed by <i>in situ</i> feeding observations

description: Expanded supplementary dataset comprising all raw feeding data utilized in this study, as well as more specific taxonomic identifications than presented in the figures.
DOI: 10.6084/m9.figshare.5683864
title: Data on rabies publications from Rabies elimination research: juxtaposing optimism, pragmatism and realism.

description: Number of rabies articles generated through literature search
DOI: 10.6084/m9.figshare.5683864.v2
title: Data on rabies publications from Rabies elimination research: juxtaposing optimism, pragmatism and realism.

description: Number of rabies articles generated through literature search
DOI: 10.6084/m9.figshare.5683864.v1
title: Data on rabies publications from Rabies elimination research: juxtaposing optimism, pragmatism and realism

description: Number of rabies articles generated through literature search
DOI: 10.6084/m9.figshare.5705734
title: DataSet S1 from Unique perceptuomotor control of stone hammers in wild monkeys.

description: Joint angles.
DOI: 10.6084/m9.figshare.5705734.v2
title: DataSet S1 from Unique perceptuomotor control of stone hammers in wild monkeys.

description: Joint angles.
DOI: 10.6084/m9.figshare.5705734.v1
title: DataSet S1 from Unique perceptuomotor control of stone hammer in wild monkeys

description: Joint angles.
DOI: 10.6084/m9.figshare.5746827
title: Table S1 from The chronology of reindeer hunting on Norway's highest ice patches.

description: Radiocarbon dates and associated data for artefacts from ice patches in Oppland. Note that two horse bones are likely to be from the same animal; their radiocarbon assays have been combined, leaving a sample of 153 independent dates.
DOI: 10.6084/m9.figshare.5746827.v2
title: Table S1 from The chronology of reindeer hunting on Norway's highest ice patches.

description: Radiocarbon dates and associated data for artefacts from ice patches in Oppland. Note that two horse bones are likely to be from the same animal; their radiocarbon assays have been combined, leaving a sample of 153 independent dates.
DOI: 10.6084/m9.figshare.5746827.v1
title: Table S1 from The chronology of reindeer hunting on Norway's highest ice patches

description: Radiocarbon dates and associated data for artefacts from ice patches in Oppland. Note that two horse bones are likely to be from the same animal; their radiocarbon assays have been combined, leaving a sample of 153 independent dates.
DOI: 10.6084/m9.figshare.5822565
title: Model of the circuit in Figure 2C from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?.

description: Matlab ODE model of the sRNA-based controller.
DOI: 10.6084/m9.figshare.5822562
title: Model of the type 2 ICM in Figure 1 from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?.

description: Matlab ODE model of the type 2 ICMs in Figure 1A-C.
DOI: 10.6084/m9.figshare.5822565.v2
title: Model of the circuit in Figure 2C from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?.

description: Matlab ODE model of the sRNA-based controller.
DOI: 10.6084/m9.figshare.5822562.v2
title: Model of the type 2 ICM in Figure 1 from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?.

description: Matlab ODE model of the type 2 ICMs in Figure 1A-C.
DOI: 10.6084/m9.figshare.5822565.v1
title: Model of the circuit in Figure 2C from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?

description: Matlab ODE model of the sRNA-based controller.
DOI: 10.6084/m9.figshare.5822562.v1
title: Model of the type 2 ICM in Figure 1 from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?

description: Matlab ODE model of the type 2 ICMs in Figure 1A-C.
DOI: 10.6084/m9.figshare.5822574
title: Matlab code to generate Figure 2D from Realizing ‘integral control’ in living cells: how to overcome leaky integration due to dilution?.

description: Matlab code that generates Figure 2D.