cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20479869.v1
title: Supplementary Data.xlsx

description: The data was used in the manuscript titled " <strong>Eutrophication effects on organic carbon burial in lakes".</strong>
DOI: 10.6084/m9.figshare.20479869
title: Supplementary Data.xlsx

description: The data was used in the manuscript titled " <strong>Eutrophication effects on organic carbon burial in lakes".</strong>
DOI: 10.5281/zenodo.6981702
title: Magnesium isotope constraints on the Holocene hydromagnesite formation in alkaline Lake Dujiali, central Qinghai-Tibetan Plateau

description: This dataset contains the following nice Tables: 1. Table S-1 Mineralogical compositions of hydromagnesite and lake sediments. 2. Table S-2 Mg isotope and Sr data of Dujiali Lake. 3. Table S-3 Chemical compositions of waters in Dujiali lake. 4. Table S-4 The compilation of small rivers draining only ultramafic rocks. 5. Table S-5 The compilation of Mg/Ca ratios (mol/mol) of alkaline lakes in the world. 6. Table S-6 The compilation of δ 26Mg in river waters, groundwater, soil water and hydromagnesite. 7. Table S-7 The major elements compositions of lake sediments and hydromagensite. 8. Table S-8 Model input parameters. 9. Table S-9: Model parameters.
DOI: 10.5281/zenodo.6981662
title: TGF-B1 and HCV

description: the genetic distribution of TGF-B1 in HCV
DOI: 10.5281/zenodo.6981701
title: Magnesium isotope constraints on the Holocene hydromagnesite formation in alkaline Lake Dujiali, central Qinghai-Tibetan Plateau

description: This dataset contains the following nice Tables: 1. Table S-1 Mineralogical compositions of hydromagnesite and lake sediments. 2. Table S-2 Mg isotope and Sr data of Dujiali Lake. 3. Table S-3 Chemical compositions of waters in Dujiali lake. 4. Table S-4 The compilation of small rivers draining only ultramafic rocks. 5. Table S-5 The compilation of Mg/Ca ratios (mol/mol) of alkaline lakes in the world. 6. Table S-6 The compilation of δ 26Mg in river waters, groundwater, soil water and hydromagnesite. 7. Table S-7 The major elements compositions of lake sediments and hydromagensite. 8. Table S-8 Model input parameters. 9. Table S-9: Model parameters.
DOI: 10.5281/zenodo.6981661
title: TGF-B1 and HCV

description: the genetic distribution of TGF-B1 in HCV
DOI: 10.5281/zenodo.6983160
title: SPAAM Summer School 2022: Introduction to Ancient Metagenomics - 3b2 Introduction to Python and Pandas

description: Teaching data for practical session: "3b2 Introduction to Python and Pandas" of the 2022 SPAAM Summer School: Introduction to Ancient Metagenomics (Aug. 1-5 2022). See: https://spaam-community.github.io/wss-summer-school/#/2022/ or https://doi.org/10.5281/zenodo.6976711 for slides. Once downloaded, run: <pre><code>tar xvfz &lt;session&gt;.tar.gz</code></pre> to decompress the data directory for the session.
DOI: 10.5281/zenodo.6983159
title: SPAAM Summer School 2022: Introduction to Ancient Metagenomics - 3b2 Introduction to Python and Pandas

description: Teaching data for practical session: "3b2 Introduction to Python and Pandas" of the 2022 SPAAM Summer School: Introduction to Ancient Metagenomics (Aug. 1-5 2022). See: https://spaam-community.github.io/wss-summer-school/#/2022/ or https://doi.org/10.5281/zenodo.6976711 for slides. Once downloaded, run: <pre><code>tar xvfz &lt;session&gt;.tar.gz</code></pre> to decompress the data directory for the session.
DOI: 10.5281/zenodo.5083354
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
DOI: 10.5281/zenodo.5083355
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
description: Glycan trajectories for A2F, NA2 and PL3SA6 are incomplete (1.5 - 2.5 us) and will be updated shortly.
DOI: 10.5281/zenodo.5337276
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
description: Glycan trajectory for PL3SA6 is incomplete (2.6 us) and will be updated shortly.
DOI: 10.5281/zenodo.6631359
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
description: Glycan trajectory for PL3SA6 is incomplete (2.6 us) and will be updated shortly.
DOI: 10.5281/zenodo.6644544
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
description: Glycan trajectory for PL3SA6 is incomplete (2.6 us) and will be updated shortly.
DOI: 10.5281/zenodo.6983057
title: GlycoSHIELD

description: Dataset containing GROMACS trajectories and reference structures of glycans used by the GlycoSHIELD pipeline.
DOI: 10.5281/zenodo.2659734
title: Data for: Increasing plant group productivity through latent genetic variation for cooperation

description: Historic yield advances in the major crops have to a large extent been achieved by selection for improved productivity of groups of plant individuals such as high-density stands. Research suggests that such improved group productivity depends on “cooperative” traits (e.g., erect leaves, short stems) that – while beneficial to the group – decrease individual fitness under competition. This poses a problem for some traditional breeding approaches, especially when selection occurs at the level of individuals, because “selfish” traits will be selected for and reduce yield in high-density monocultures. One approach, therefore, has been to select individuals based on ideotypes with traits expected to promote group productivity. However, this approach is limited to architectural and physiological traits whose effects on growth and competition are relatively easy to anticipate. Here, we developed a general and simple method for the discovery of alleles promoting cooperation in plant stands. Our method is based on the game-theoretical premise that alleles increasing cooperation benefit the monoculture group but are disadvantageous to the individual when facing non-cooperative neighbors. Testing the approach using the model plant <em>Arabidopsis thaliana</em><em>, </em>we found a major effect locus where the rarer allele was associated with increased cooperation and productivity in high-density stands. The allele likely affects a pleiotropic gene, since we find that it is also associated with reduced root competition but higher resistance against disease. Thus, even though cooperation is considered evolutionarily unstable except under special circumstances, conflicting selective forces acting on a pleiotropic gene might maintain latent genetic variation for cooperation in nature. Such variation, once identified in a crop, could rapidly be leveraged in modern breeding programs and provide efficient routes to increase yields.
description: Data from https://www.biorxiv.org/content/10.1101/641449v2
description: {"references": ["https://www.biorxiv.org/content/10.1101/641449v1"]}
DOI: 10.5281/zenodo.6983283
title: Data for: Increasing plant group productivity through latent genetic variation for cooperation

description: Historic yield advances in the major crops have to a large extent been achieved by selection for improved productivity of groups of plant individuals such as high-density stands. Research suggests that such improved group productivity depends on “cooperative” traits (e.g., erect leaves, short stems) that – while beneficial to the group – decrease individual fitness under competition. This poses a problem for some traditional breeding approaches, especially when selection occurs at the level of individuals, because “selfish” traits will be selected for and reduce yield in high-density monocultures. One approach, therefore, has been to select individuals based on ideotypes with traits expected to promote group productivity. However, this approach is limited to architectural and physiological traits whose effects on growth and competition are relatively easy to anticipate. Here, we developed a general and simple method for the discovery of alleles promoting cooperation in plant stands. Our method is based on the game-theoretical premise that alleles increasing cooperation benefit the monoculture group but are disadvantageous to the individual when facing non-cooperative neighbors. Testing the approach using the model plant <em>Arabidopsis thaliana</em><em>, </em>we found a major effect locus where the rarer allele was associated with increased cooperation and productivity in high-density stands. The allele likely affects a pleiotropic gene, since we find that it is also associated with reduced root competition but higher resistance against disease. Thus, even though cooperation is considered evolutionarily unstable except under special circumstances, conflicting selective forces acting on a pleiotropic gene might maintain latent genetic variation for cooperation in nature. Such variation, once identified in a crop, could rapidly be leveraged in modern breeding programs and provide efficient routes to increase yields.
description: Data from https://www.biorxiv.org/content/10.1101/641449v2
description: {"references": ["https://www.biorxiv.org/content/10.1101/641449v1"]}
DOI: 10.25934/pr00007557.2
title: Available IPD datapackage for study 'A Phase III, Double-Blinded, Randomized, Placebo-Controlled Study of Atezolizumab Plus Cobimetinib and Vemurafenib Versus Placebo Plus Cobimetinib and Vemurafenib in Previously Untreated BRAFV600 Mutation-Positive Patients With Unresectable Locally Advanced or Metastatic Melanoma'

description: This is a Phase III, double-blinded, placebo-controlled, randomized, multicenter study designed to evaluate the efficacy, safety, and pharmacokinetics of atezolizumab + cobimetinib + vemurafenib compared with placebo + cobimetinib + vemurafenib in patients with previously untreated BRAFv600 mutation-positive metastatic or unresectable locally advanced melanoma.
DOI: 10.5281/zenodo.6981407
title: Formation of robust bound states of interacting photons

description: Data and analysis scripts for the manuscript https://arxiv.org/abs/2206.05254
DOI: 10.5281/zenodo.6981406
title: Formation of robust bound states of interacting photons

description: Data and analysis scripts for the manuscript https://arxiv.org/abs/2206.05254
DOI: 10.5281/zenodo.6983365
title: Pelagomonas calceolata gene expression in Tara Oceans samples

description: These files contains the expression levels of all Pelagomonas calceolata nuclear genes (raws) in Tara Oceans samples (columns). Pelago_GeneExpression_TaraOceans_raw_count.tab contains read counts and Pelago_GeneExpression_TaraOceans_TPM.tab contains normalized counts in transcripts per kbp per million (TPM).
DOI: 10.5281/zenodo.6983364
title: Pelagomonas calceolata gene expression in Tara Oceans samples

description: These files contains the expression levels of all Pelagomonas calceolata nuclear genes (raws) in Tara Oceans samples (columns). Pelago_GeneExpression_TaraOceans_raw_count.tab contains read counts and Pelago_GeneExpression_TaraOceans_TPM.tab contains normalized counts in transcripts per kbp per million (TPM).
DOI: 10.11588/data/645ddb/ntvlq3
title: UvVis.zip

description: :unav
DOI: 10.11588/data/645ddb/iib0kc
title: Device-Data.zip

description: :unav
DOI: 10.11588/data/645ddb/adq2vd
title: NMR.zip

description: :unav
DOI: 10.6084/m9.figshare.12852492
title: Unravelling student evaluations of courses and teachers

description: There is debate over the functional basis of student evaluations of academics, and fresh potential for looking at the data in new ways. Student evaluation data was collated over a three year period (Semester 2 2015 to Semester 1 2018). We used a General Linear Model to estimate the variation in course scores explained by a number of coordinator and course attributes. Three significant factors collectively explain 49% of the School’s variation in course scores—individual coordinator, student evaluation response rate, and mode of delivery. Next, we used hierarchical clustering to explore the inter-relationships among the eight course and teaching evaluation questions. Learning appears to be related to stimulation, whereas overall satisfaction appears to be related to quality of learning materials and course structure (i.e. aspects of course organisation). Student evaluation response rate is positively correlated to all eight course questions, but most positively to a question relating to receiving adequate feedback. This perhaps implies some reciprocity in the flow of information between student and coordinator. The overall teaching rating awarded to academics clusters most with approachability and encouragement of student input—aspects of temperament and style—and not with explanatory skill or organisational ability.
DOI: 10.5281/zenodo.6861087
title: The impact of cerebellar transcranial direct current stimulation (tDCS) on sensorimotor and inter-sensory temporal recalibration

description: Data related to the study "The impact of cerebellar transcranial direct current stimulation (tDCS) on sensorimotor and inter-sensory temporal recalibration".
description: Details on the datasets can be found in the readme file.
DOI: 10.5281/zenodo.6861086
title: The impact of cerebellar transcranial direct current stimulation (tDCS) on sensorimotor and inter-sensory temporal recalibration

description: Data related to the study "The impact of cerebellar transcranial direct current stimulation (tDCS) on sensorimotor and inter-sensory temporal recalibration".
description: Details on the datasets can be found in the readme file.
DOI: 10.6084/m9.figshare.12852492.v1
title: Unravelling student evaluations of courses and teachers

description: There is debate over the functional basis of student evaluations of academics, and fresh potential for looking at the data in new ways. Student evaluation data was collated over a three year period (Semester 2 2015 to Semester 1 2018). We used a General Linear Model to estimate the variation in course scores explained by a number of coordinator and course attributes. Three significant factors collectively explain 49% of the School’s variation in course scores—individual coordinator, student evaluation response rate, and mode of delivery. Next, we used hierarchical clustering to explore the inter-relationships among the eight course and teaching evaluation questions. Learning appears to be related to stimulation, whereas overall satisfaction appears to be related to quality of learning materials and course structure (i.e. aspects of course organisation). Student evaluation response rate is positively correlated to all eight course questions, but most positively to a question relating to receiving adequate feedback. This perhaps implies some reciprocity in the flow of information between student and coordinator. The overall teaching rating awarded to academics clusters most with approachability and encouragement of student input—aspects of temperament and style—and not with explanatory skill or organisational ability.
DOI: 10.5281/zenodo.5405845
title: Replication package for "An Exploratory Study on the Predominant Programming Paradigms in Python Code"

description: This dataset includes scripts and data files used to generate all analysis and results from the paper. A README.md file is included for details on using the scripts - though all of the data the scripts generate should already be cached and none of the scripts actually need run. It also includes a spreadsheet containing the human judgements from Table 4 of the paper. Always current source for the scripts is available on GitHub: https://github.com/psybers/python-paradigms
DOI: 10.5281/zenodo.5405846
title: Replication package for "An Empirical Study on the Use of Programming Paradigms in Python"

description: This dataset includes scripts, text files, and CSV files used to generate all analysis and results from the paper. A README.md file is included for details on using the scripts - though all of the data the scripts generate should already be cached as CSV or txt files and none of the scripts actually need run. It also includes a spreadsheet containing the manual judgements.
DOI: 10.5281/zenodo.6282285
title: Replication package for "An Exploratory Study on the Predominant Programming Paradigms in Python Code"

description: This dataset includes scripts and data files used to generate all analysis and results from the paper. A README.md file is included for details on using the scripts - though all of the data the scripts generate should already be cached and none of the scripts actually need run. It also includes a spreadsheet containing the manual judgements.
DOI: 10.5281/zenodo.3939293
title: PCF05: fMRI data in a Pavlovian delay threat conditioning task with four visual CS with different rates of electrical US

description: This data set includes selected functional magnetic resonance imaging (fMRI) data supplementing an article. The data include: Untresholded Statistical Parametric Maps (SPMs) and beta images (BOLD signal estimates) for relevant contrasts for the GLMs reported in the article Region-of-interest (ROI) masks: anatomical ROIs with combined hemispheres, and masks created from significant BOLD signal clusters from the whole-brain analyses Summary data files for mean beta (BOLD signal estimate) values and their within-subject errors for each ROI A compilation Excel sheet of condition-wise BOLD parameter estimates and standard errors from previous axiomatic aversive prediction error studies, and associated effect sizes as well as sample sizes from a power analysis. Details of the experimental paradigm as well as of the fMRI data acquisition and analysis can be found in the associated article.
description: See the readme files included in the data folders and the associated article for more details. Data are stored in the following formats: NIFTI (.nii), MATLAB (.mat) and Excel (.xlsx). This project was supported by Olga Mayenfisch Foundation and Swiss National Science Foundation (320030_149586 to DRB, 320030_188737 to AT, and 320030_184784 to AL), the Wellcome Centre for Human Neuroimaging receives core funding from the Wellcome Trust (091593/Z/10/Z). DRB is also supported by funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. ERC-2018 CoG-816564 ActionContraThreat). AT is supported by the Interfaculty Research Cooperation "Decoding Sleep: From Neurons to Health & Mind" of the University of Bern. BAP is supported by Netherlands Organization for Scientific Research (NWO) VIDI 016.178.052 and by partial funding from R01 MH111444/MH/NIMH NIH. AL is supported by the ROGER DE SPOELBERCH Foundation.
DOI: 10.5281/zenodo.3939294
title: PCF05: fMRI data in a Pavlovian delay threat conditioning task with four visual CS with different rates of electrical US

description: This data set includes selected functional magnetic resonance imaging (fMRI) data supplementing an article. The data include: Untresholded Statistical Parametric Maps (SPMs) and beta images (BOLD signal estimates) for relevant contrasts for the GLMs reported in the article Region-of-interest (ROI) masks: anatomical ROIs with combined hemispheres, and masks created from significant BOLD signal clusters from the whole-brain analyses Summary data files for mean beta (BOLD signal estimate) values and their within-subject errors for each ROI Details of the experimental paradigm as well as of the fMRI data acquisition and analysis can be found in the associated article.
description: See the readme files included in the data folders and the associated article for more details. Data are stored in the following formats: NIFTI (.nii), MATLAB (.mat) and Excel (.xlsx). This project was supported by Olga Mayenfisch Foundation and Swiss National Science Foundation (320030_149586 to DRB, 320030_188737 to AT, and 320030_184784 to AL), the Wellcome Centre for Human Neuroimaging receives core funding from the Wellcome Trust (091593/Z/10/Z). DRB is also supported by funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. ERC-2018 CoG-816564 ActionContraThreat). AT is supported by the Interfaculty Research Cooperation "Decoding Sleep: From Neurons to Health & Mind" of the University of Bern. BAP is supported by Netherlands Organization for Scientific Research (NWO) VIDI 016.178.052 and by partial funding from R01 MH111444/MH/NIMH NIH. AL is supported by the ROGER DE SPOELBERCH Foundation.
DOI: 10.5281/zenodo.6983543
title: PCF05: fMRI data in a Pavlovian delay threat conditioning task with four visual CS with different rates of electrical US

description: This data set includes selected functional magnetic resonance imaging (fMRI) data supplementing an article. The data include: Untresholded Statistical Parametric Maps (SPMs) and beta images (BOLD signal estimates) for relevant contrasts for the GLMs reported in the article Region-of-interest (ROI) masks: anatomical ROIs with combined hemispheres, and masks created from significant BOLD signal clusters from the whole-brain analyses Summary data files for mean beta (BOLD signal estimate) values and their within-subject errors for each ROI A compilation Excel sheet of condition-wise BOLD parameter estimates and standard errors from previous axiomatic aversive prediction error studies, and associated effect sizes as well as sample sizes from a power analysis. Details of the experimental paradigm as well as of the fMRI data acquisition and analysis can be found in the associated article.
description: See the readme files included in the data folders and the associated article for more details. Data are stored in the following formats: NIFTI (.nii), MATLAB (.mat) and Excel (.xlsx). This project was supported by Olga Mayenfisch Foundation and Swiss National Science Foundation (320030_149586 to DRB, 320030_188737 to AT, and 320030_184784 to AL), the Wellcome Centre for Human Neuroimaging receives core funding from the Wellcome Trust (091593/Z/10/Z). DRB is also supported by funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. ERC-2018 CoG-816564 ActionContraThreat). AT is supported by the Interfaculty Research Cooperation "Decoding Sleep: From Neurons to Health & Mind" of the University of Bern. BAP is supported by Netherlands Organization for Scientific Research (NWO) VIDI 016.178.052 and by partial funding from R01 MH111444/MH/NIMH NIH. AL is supported by the ROGER DE SPOELBERCH Foundation.
DOI: 10.5281/zenodo.6983500
title: CCZ-Inequivalent quadratic vectorial Boolean bent functions in 8 variables

description: This dataset contains representatives of CCZ-equivalence classes of quadratic vectorial Boolean bent functions in 8 variables.
DOI: 10.5281/zenodo.6983499
title: CCZ-Inequivalent quadratic vectorial Boolean bent functions in 8 variables

description: This dataset contains representatives of CCZ-equivalence classes of quadratic vectorial Boolean bent functions in 8 variables.