cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11933313.v3
title: Corporate (Board Interconnectivity Data / Social Networks)

description: An XML file resultant from research on social networks formed via corporate board membership. "Explorable" data using visualization tools such as Cytoscape. <br><br>Collected from open data sources via automated programs using data produced and processed from sources believed to be reliable; no warranty, expressed or implied, is made regarding accuracy, adequacy, completeness, legality, reliability or usefulness of any information. This disclaimer applies to both isolated and aggregate uses of the information. The information is provided on an "as is" basis.
DOI: 10.6084/m9.figshare.11933157
title: Music Recomendation Systems

description: Training dataset for music recommendation system. The last 30 columns represent the labels, where:<br>1 = liked and saved the song0.6 = liked but didn't save the song <br>0 = didn't like the song
DOI: 10.6084/m9.figshare.11933148
title: Data repository (VVM-Lin vs P3)

description: This is the data repository for the manuscript, "Effects of Microphysical Processes on the Precipitation Spectrum in a Strongly Forced Environment", submitted to Journal of Advances in Modeling Earth Systems.
DOI: 10.6084/m9.figshare.11933148.v1
title: Data repository (VVM-Lin vs P3)

description: This is the data repository for the manuscript, "Effects of Microphysical Processes on the Precipitation Spectrum in a Strongly Forced Environment", submitted to Journal of Advances in Modeling Earth Systems.
DOI: 10.6084/m9.figshare.11932974.v1
title: Consensus Monte Carlo for Random Subsets using Shared Anchors

description: We present a consensus Monte Carlo algorithm that scales existing Bayesian nonparametric models for clustering and feature allocation to big data. The algorithm is valid for any prior on random subsets such as partitions and latent feature allocation, under essentially any sampling model. Motivated by three case studies, we focus on clustering induced by a Dirichlet process mixture sampling model, inference under an Indian buffet process prior with a binomial sampling model, and with a categorical sampling model. We assess the proposed algorithm with simulation studies and show results for inference with three datasets: an MNIST image dataset, a dataset of pancreatic cancer mutations, and a large set of electronic health records (EHR). Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.11932860
title: Performance Summary Display Analysis.

description: Displays were identified, classified, and elements counted and coded. The performance summary display ontology provides a set of descriptions of components of displays that have been used ​to annotate performance feedback visualizations.
DOI: 10.6084/m9.figshare.11932740
title: Abundance data on European plants (2.5-min raster size)

description: <b>Short introduction:</b>The here provided excel-file contains all information to reproduce the results from our study on the relationship between vascular plant species fine-grain (local) abundance and coarse-grain geographic distribution and/or climatic niche.<br><b>Publication: </b>(Sporbert et al.: Local abundance is largely unrelated to coarse-grain distribution and climatic niches in European plants. under revision)<br> <b>Location: </b>Europe<br> <b>Taxon: </b>Vascular plants<br> <b>Methods: </b>Distribution range maps of 517 vascular plant species from the Chorological Database Halle were used to capture Europe-wide geographic ranges and derive climatic niches of these species. We used data from 744,513 vegetation plots from the European Vegetation Archive where local species abundance was measured as plant cover per plot. Centrality was calculated per species for each plot in geographic and climatic space. Climatic suitability at plot locations was predicted from coarse-grain species distribution models (SDMs). The general relationship between centrality and climatic suitability with abundance was tested with linear models. Quantile regression was used to examine the relationships of centrality and climatic suitability to upper limits of abundance. We summarized the overall trend across species slopes from linear models and quantile regression using a meta-analytical approach.<br><b>Short despcription of the dataset:</b>The dataset contains information on:Species name; results from regression analysis; number of vegetation plots occupied per species; percentage amount of species Eurasian distribution range; range size niche size; calculated mean abundance and calculated standard deviation from all vegetation plots occupied per species<br><br><b>Detailed information:</b> can be found in the attached metafile<br>
DOI: 10.6084/m9.figshare.11932740.v2
title: Abundance data on European plants (2.5-min raster size)

description: <b>Aim:</b> Macroecology and species distribution modelling often assume links between fine-grain (local) abundance and coarse-grain geographic distribution and/or climatic niche. However, we lack empirical knowledge of how spatial patterns of local abundance are related to coarse-grain distribution. Here we investigate this cross-scale transferability assumption by testing for three macroecological relationships: (1) the abundance-range-size relationship, (2) the abundance-centre-relationship, and (3) the abundance-suitability relationship. <b>Location: </b>Europe <b>Taxon: </b>Vascular plants <b>Methods: </b>Distribution range maps of 517 vascular plant species from the Chorological Database Halle were used to capture Europe-wide geographic ranges and derive climatic niches of these species. We used data from 744,513 vegetation plots from the European Vegetation Archive where local species abundance was measured as plant cover per plot. Centrality was calculated per species for each plot in geographic and climatic space. Climatic suitability at plot locations was predicted from coarse-grain species distribution models (SDMs). The general relationship between centrality and climatic suitability with abundance was tested with linear models. Quantile regression was used to examine the relationships of centrality and climatic suitability to upper limits of abundance. We summarized the overall trend across species slopes from linear models and quantile regression using a meta-analytical approach. <b>Results:</b> We did not find support for a positive relationship between mean local abundance and coarse-grain range or niche size. Significant positive correlations of abundance with centrality and climatic suitability in both the geographic and climatic space were as common as significant correlations in the opposite direction. <b>Main conclusions: </b>Finding no unequivocal support for any of the tested relationships, our results show that coarse-grain distribution properties might be of limited use for predicting local abundance. We conclude that environmental factors influencing individual performance measured as local cover-abundance likely differ from drivers of coarse-grain occurrence patterns. Current SDM approaches seem to be not directly transferable to local plant species abundance and performance.<br><b>The here provided excel-file contains all information to reproduce the results. Detailed description on the data is given in the metadata. </b>
DOI: 10.6084/m9.figshare.11932743.v2
title: fdroidApps

description: opensource apps from fdroid used by TNBDroid
DOI: 10.6084/m9.figshare.11932578
title: Commercial apps

description: Commercial apps from google play used for the evaluation of the tool TNBDroid. We only use the apps for research.
DOI: 10.6084/m9.figshare.11932743.v3
title: F-droid apps

description: Open-source apps from F-droid used for the evaluation of the tool TNBDroid. We only use the apps for research.
DOI: 10.6084/m9.figshare.11932578.v1
title: fdroid

description: opensource apps from fdroid used by TNBDroid
DOI: 10.6084/m9.figshare.11932578.v2
title: fdroidApps

description: opensource apps from fdroid used by TNBDroid
DOI: 10.6084/m9.figshare.11932578.v3
title: fdroidApps

description: opensource apps from fdroid used by TNBDroid
DOI: 10.6084/m9.figshare.11932578.v5
title: Commercial apps

description: Commercial apps from google play used for the evaluation of the tool TNBDroid. We only use the apps for research.
DOI: 10.6084/m9.figshare.11932578.v4
title: socialApps

description: social apps from google play store used by TNBDroid
DOI: 10.6084/m9.figshare.11932146
title: Southward shift of spring algal blooms from 2000 to 2017 off Fujian, China

description: Time series data of spring bloom, MODIS Chl, OSTIA SST and riverine nutrient flux<br>
DOI: 10.6084/m9.figshare.11932134
title: Supplementary datasets

description: 1111
DOI: 10.6084/m9.figshare.11932146.v1
title: Southward shift of spring algal blooms from 2000 to 2017 off Fujian, China

description: Time series data of spring bloom, MODIS Chl, OSTIA SST and riverine nutrient flux<br>
DOI: 10.6084/m9.figshare.11932119
title: Table S1 from The role of mural mechanics on cephalopod palaeoecology

description: Nanoindentation data for three regions of the shell of Spirula spirula.
DOI: 10.6084/m9.figshare.11932119.v1
title: Table S1 from The role of mural mechanics on cephalopod palaeoecology

description: Nanoindentation data for three regions of the shell of Spirula spirula.
DOI: 10.6084/m9.figshare.11932134.v1
title: Supplementary datasets

description: Supplementary datasets for the manuscript "Identification and evolution of C<sub>4</sub> photosynthetic pathway genes in plants".
DOI: 10.6084/m9.figshare.11932134.v3
title: Supplementary datasets

description: 1111
DOI: 10.6084/m9.figshare.11932113
title: Table S2 from The role of mural mechanics on cephalopod palaeoecology

description: Stress data from finite element analysis collected from different morphological models.
DOI: 10.6084/m9.figshare.11932134.v2
title: Supplementary datasets

description: Supplementary datasets for the manuscript "Identification and evolution of C<sub>4</sub> photosynthetic pathway genes in plants".
DOI: 10.6084/m9.figshare.11932113.v1
title: Table S2 from The role of mural mechanics on cephalopod palaeoecology

description: Stress data from finite element analysis collected from different morphological models.
DOI: 10.6084/m9.figshare.11932053
title: Database from Cognitive appraisal in fish: stressor predictability modulates the physiological and neurobehavioural stress response in sea bass

description: Excel file with raw data used in this paper
DOI: 10.6084/m9.figshare.11932053.v1
title: Database from Cognitive appraisal in fish: stressor predictability modulates the physiological and neurobehavioural stress response in sea bass

description: Excel file with raw data used in this paper
DOI: 10.6084/m9.figshare.11932038
title: Supplemental metadata and measures of microbial alpha diversity from A bird's-eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increasing phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared with mammals (and especially insects), these results provide evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.11932044
title: Supplemental file summarizing the occurrence of bacterial ASVs in controls and crane fecal samples from A bird's-eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increasing phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared with mammals (and especially insects), these results provide evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.11932044.v2
title: Supplemental file summarizing the occurrence of bacterial ASVs in controls and crane fecal samples from A bird's-eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increasing phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared with mammals (and especially insects), these results provide evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.11932044.v1
title: Supplemental file summarizing the occurrence of bacterial ASVs in controls and crane fecal samples from A bird's eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increased phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected the marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared to mammals (and especially insects), these results provide the evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.11932038.v1
title: Supplemental metadata and measures of microbial alpha diversity from A bird's eye view of phylosymbiosis: weak signatures of phylosymbiosis among all 15 species of cranes

description: In numerous animal clades, the evolutionary history of host species drives patterns of gut microbial community structure, resulting in more divergent microbiota with increased phylogenetic distance between hosts. This phenomenon, termed phylosymbiosis, has been observed in diverse evolutionary lineages, but has been difficult to detect in birds. Previous tests of phylosymbiosis among birds have been conducted using wild individuals, and thus interspecific differences in diet and environment may have masked a phylogenetic signal. Therefore, we tested for phylosymbiosis among all 15 species of cranes (family Gruidae) housed in the same captive environment and maintained on identical diets. 16S rRNA sequencing revealed that crane species harbour distinct gut microbiota. Overall, we detected the marginally significant patterns of phylosymbiosis, the strength of which was increased when including the estimates of absolute microbial abundance (rather than relative abundance) derived from microbial densities determined by flow cytometry. Using this approach, we detected the statistically significant signatures of phylosymbiosis only after removing male cranes from our analysis, suggesting that using mixed-sex animal cohorts may prevent the detection of phylosymbiosis. Though weak compared to mammals (and especially insects), these results provide the evidence of phylosymbiosis in birds. We discuss the potential differences between birds and mammals, such as transmission routes and host filtering, that may underlie the differences in the strength of phylosymbiosis.
DOI: 10.6084/m9.figshare.11932026
title: Raw data of graph from Superhydrophilic graphene oxide/electrospun cellulose nanofibre for efficient adsorption of organophosphorus pesticides from environmental samples

description: Raw data of graph in the manuscript (FTIR, BET, pH, Time, Adsorbent Dosage, Initial Concentration, Real Samples)
DOI: 10.6084/m9.figshare.11931993
title: Data for Figures in NM19072341

description: NM19072341
DOI: 10.6084/m9.figshare.11932017
title: Dataset for FOM global optimization

description: NM19072341
DOI: 10.6084/m9.figshare.11931987
title: Dataset for percolation in rods of different lengths

description: Data analysed in Figure 1(b) of NM19072341
DOI: 10.6084/m9.figshare.11932017.v1
title: Dataset for FOM global optimization

description: NM19072341
DOI: 10.6084/m9.figshare.11931945
title: Data Figshare.pdf

description: Dataset to accompany The paper: <br>Silver-spoon upbringing improves early-life fitness but promotes reproductive ageing in a wild bird<br>Foteini Spagopoulou*1, Celine Teplitsky2, Martin I. Lind1, Stéphane Chantepie4, Lars Gustafsson1 and Alexei A. Maklakov1, 3<br>
DOI: 10.6084/m9.figshare.11931963
title: Estimates of autozygosity through runs of homozygosity in farmed coho salmon

description: Data file from the paper "Estimates of autozygosity through runs of homozygosity in farmed coho salmon"
DOI: 10.6084/m9.figshare.11931993.v1
title: Data for Figures in NM19072341

description: NM19072341
DOI: 10.6084/m9.figshare.11931963.v1
title: Estimates of autozygosity through runs of homozygosity in farmed coho salmon

description: Data file from the paper "Estimates of autozygosity through runs of homozygosity in farmed coho salmon"
DOI: 10.6084/m9.figshare.11931879
title: Data for experiment 1

description: unfiltered complete data, final filtered data and SPSS scripts used for the analysis of experiment 1
DOI: 10.6084/m9.figshare.11931879.v1
title: Data for experiment 1

description: unfiltered complete data, final filtered data and SPSS scripts used for the analysis of experiment 1
DOI: 10.6084/m9.figshare.11931840
title: ABC_MCMC_Malariah from A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models

description: The behaviour of many processes in science and engineering can be accurately described by dynamical system models consisting of a set of ordinary differential equations (ODEs). Often these models have several unknown parameters that are difficult to estimate from experimental data, in which case Bayesian inference can be a useful tool. In principle, exact Bayesian inference using Markov chain Monte Carlo (MCMC) techniques is possible; however, in practice, such methods may suffer from slow convergence and poor mixing. To address this problem, several approaches based on approximate Bayesian computation (ABC) have been introduced, including Markov chain Monte Carlo ABC (MCMC ABC) and sequential Monte Carlo ABC (SMC ABC). While the system of ODEs describes the underlying process that generates the data, the observed measurements invariably include errors. In this paper, we argue that several popular ABC approaches fail to adequately model these errors because the acceptance probability depends on the choice of the discrepancy function and the tolerance without any consideration of the error term. We observe that the so-called posterior distributions derived from such methods do not accurately reflect the epistemic uncertainties in parameter values. Moreover, we demonstrate that these methods provide minimal computational advantages over exact Bayesian methods when applied to one ODE epidemiological models with simulated data and one with real data concerning malaria transmission in Afghanistan.