cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1007716.v1
title: Fayard et al (2009) Study 1

description: Replication of a study by Zhong and Liljenquist (2006), published in Fayard, Bassi, Bernstein, and Roberts (2009; see link below).
DOI: 10.6084/m9.figshare.1007718.v1
title: IDL API wrapper for Astrometry.net

description: This IDL routine uses the Python client written by the astrometrynet team (see first link below) to upload multiple fits images to the astrometry.net servers. An astrometry solution is then built, downloaded and appended to the original fits header. Please read the "README.txt" for all information. Any work using this must refer to astrometry.net in the following way : "This service uses tools provided by Astrometry.net. For more details, visit http://astrometry.net/"
DOI: 10.6084/m9.figshare.1007705.v1
title: Refleksje na temat pracy WSPÓŁCZESNY MODEL ZARZĄDZANIA ŚRODKAMI PIENIĘŻNYMI BEEHLERA

description: Presented review pertains to the work: The contemporary model of cash management Beehler. Review verify and evaluate compliance with the requirements, realize the correctness of the subject and the aesthetics of. The work was assessed on the basis of criteria: content, structure, aesthetics, accuracy of conclusions.
DOI: 10.6084/m9.figshare.1007716.v2
title: Fayard et al (2009) Study 1

description: Replication of a study by Zhong and Liljenquist (2006), published in Fayard, Bassi, Bernstein, and Roberts (2009; see link below).
DOI: 10.6084/m9.figshare.1007711.v3
title: DDR Experiments 2013

description: Ecologists have long sought to understand diversity-disturbance relationships (DDRs) in ecosystems. The Intermediate Disturbance Hypothesis (IDH) has been an important theoretical foundation for much of this work, and posits that species diversity is maximized at intermediate levels of disturbance. However, recent reviews have indicated that IDH is supported in fewer than half of all empirical studies, leading some ecologists to argue for the abandonment of IDH. In this study, we addressed this inconsistency between theory and observations by characterizing multidimensional DDRs in complex freshwater microbial communities under controlled laboratory conditions. We found that unimodal DDRs predicted by IDH were not consistently observed when comparing microbial communities across trophic levels, as suggested by prior modeling work. However, when we looked within the same trophic level, we observed DDRs consistent with IDH across ranges of both intensity and frequency of disturbance, independent of disturbance type. We did not observe U-shaped DDRs predicted by recent models. While our results largely support the original mechanistic understanding of IDH, we propose a state-bifurcation model, whereby maximum diversity is stochastically maintained as the system approaches a transition point between two absorbing states. Together, our results lend strong support to IDH and reveal a potential non-equilibrium coexistence mechanism. The paucity of field studies supporting IDH likely stem from sampling a small window of the entire DDR curve, or from confusion over when and where we would expect to observe IDH patterns.
DOI: 10.6084/m9.figshare.1007711.v4
title: DDR Experiments 2013

description: Diversity is often associated with the functional stability of ecological communities from microbes to macroorganisms. Understanding how diversity responds to environmental perturbations, and the consequences of this relationship for ecosystem function, are thus central challenges in microbial ecology. Unimodal diversity-disturbance relationships, in which maximum diversity occurs at intermediate levels of disturbance, have been predicted for ecosystems where life-history tradeoffs separate organisms along a disturbance gradient. However, empirical support for such peaked relationships in macrosystems is mixed, and few studies have explored these relationships in microbial systems. Here we use complex microbial microcosm communities to systematically determine diversity-disturbance relationships over a range of disturbance regimes. We observed a reproducible switch between community types, which gave rise to transient diversity maxima when community types were forced to mix. Communities showed reduced compositional stability when diversity was highest. To further explore these dynamics, we formulated a simple model that reveals specific regimes under which diversity maxima are stable. Together, our results show how both unimodal and non-unimodal diversity-disturbance relationships can be observed as a system switches between two distinct microbial community states; this process likely occurs across a wide range of spatially and temporally heterogeneous microbial ecosystems.
DOI: 10.6084/m9.figshare.1007711.v5
title: DDR Experiments 2013

description: Diversity is often associated with the functional stability of ecological communities from microbes to macroorganisms. Understanding how diversity responds to environmental perturbations, and the consequences of this relationship for ecosystem function, are thus central challenges in microbial ecology. Unimodal diversity-disturbance relationships, in which maximum diversity occurs at intermediate levels of disturbance, have been predicted for ecosystems where life-history tradeoffs separate organisms along a disturbance gradient. However, empirical support for such peaked relationships in macrosystems is mixed, and few studies have explored these relationships in microbial systems. Here we use complex microbial microcosm communities to systematically determine diversity-disturbance relationships over a range of disturbance regimes. We observed a reproducible switch between community types, which gave rise to transient diversity maxima when community types were forced to mix. Communities showed reduced compositional stability when diversity was highest. To further explore these dynamics, we formulated a simple model that reveals specific regimes under which diversity maxima are stable. Together, our results show how both unimodal and non-unimodal diversity-disturbance relationships can be observed as a system switches between two distinct microbial community states; this process likely occurs across a wide range of spatially and temporally heterogeneous microbial ecosystems.
DOI: 10.6084/m9.figshare.1007654
title: Figures of: Tweets vs. Mendeley readers: How do these two social media metrics differ?

description: A set of 1.4 million biomedical papers was analyzed with regards to how often articles are mentioned on Twitter or saved by users on Mendeley. While Twitter is a microblogging platform used by a general audience to distribute information, Mendeley is a reference manager targeted at an academic user group to organize scholarly literature. Both platforms are used as sources for so-called “altmetrics” to measure a new kind of research impact. This analysis shows in how far they differ and compare to traditional citation impact metrics based on a large set of Pubmed PubMed papers. <strong>Figure 1</strong>: Frameworks representing Mendeley (A) and Twitter data (B) on the level of NSF specialties. Specialties are shown if they were represented in PubMed by more than 100 papers for the 2010-2012 period and more than 30 read (A) or tweeted (B) papers in 2011. <strong>Figure A1</strong>: Scatterplot of number of citations and number of tweets (A, ρ=0.181**) and Mendeley readers (B, ρ=0.677**) for papers published in General Biomedical Research in 2011. The respective three most tweeted (A) and read (B) papers are labeled showing the first author. All values were increased by 1 to include all data points in the logarithmic representation. <strong>Figure A2</strong>: Scatterplot of number of citations and number of tweets (A, ρ=0.074**) and Mendeley readers (B, ρ=0.351**) for papers published in Public Health in 2011. The respective three most tweeted (A) and read (B) papers are labeled showing the first author. All values were increased by 1 to include all data points in the logarithmic representation.
DOI: 10.6084/m9.figshare.1007711.v6
title: DDR Experiments 2013

description: Diversity is often associated with the functional stability of ecological communities from microbes to macroorganisms. Understanding how diversity responds to environmental perturbations, and the consequences of this relationship for ecosystem function, are thus central challenges in microbial ecology. Unimodal diversity-disturbance relationships, in which maximum diversity occurs at intermediate levels of disturbance, have been predicted for ecosystems where life-history tradeoffs separate organisms along a disturbance gradient. However, empirical support for such peaked relationships in macrosystems is mixed, and few studies have explored these relationships in microbial systems. Here we use complex microbial microcosm communities to systematically determine diversity-disturbance relationships over a range of disturbance regimes. We observed a reproducible switch between community types, which gave rise to transient diversity maxima when community types were forced to mix. Communities showed reduced compositional stability when diversity was highest. To further explore these dynamics, we formulated a simple model that reveals specific regimes under which diversity maxima are stable. Together, our results show how both unimodal and non-unimodal diversity-disturbance relationships can be observed as a system switches between two distinct microbial community states; this process likely occurs across a wide range of spatially and temporally heterogeneous microbial ecosystems.
DOI: 10.6084/m9.figshare.1007654.v2
title: Figures of: Tweets vs. Mendeley readers: How do these two social media metrics differ?

description: A set of 1.4 million biomedical papers was analyzed with regards to how often articles are mentioned on Twitter or saved by users on Mendeley. While Twitter is a microblogging platform used by a general audience to distribute information, Mendeley is a reference manager targeted at an academic user group to organize scholarly literature. Both platforms are used as sources for so-called “altmetrics” to measure a new kind of research impact. This analysis shows in how far they differ and compare to traditional citation impact metrics based on a large set of Pubmed PubMed papers. <strong>Figure 1</strong>: Frameworks representing Mendeley (A) and Twitter data (B) on the level of NSF specialties. Specialties are shown if they were represented in PubMed by more than 100 papers for the 2010-2012 period and more than 30 read (A) or tweeted (B) papers in 2011. <strong>Figure A1</strong>: Scatterplot of number of Mendeley readers and tweets for 2011 papers in PubMed and WoS. Color of data points represents NSF disciplines. <strong>Figure A2</strong>: Scatterplot of number of citations and number of tweets (A, ρ=0.181**) and Mendeley readers (B, ρ=0.677**) for papers published in General Biomedical Research in 2011. The respective three most tweeted (A) and read (B) papers are labeled showing the first author. All values were increased by 1 to include all data points in the logarithmic representation. <strong>Figure A3</strong>: Scatterplot of number of citations and number of tweets (A, ρ=0.074**) and Mendeley readers (B, ρ=0.351**) for papers published in Public Health in 2011. The respective three most tweeted (A) and read (B) papers are labeled showing the first author. All values were increased by 1 to include all data points in the logarithmic representation.
DOI: 10.6084/m9.figshare.1007651
title: Kayak image fusion sequence - Part II

description: Here we present Part II of the multimodal Kayak image dataset consisting of two image sequences showing three approaching kayaks in a cluttered maritime background. The scenario was registered in the 3-5 mm (mid-wave infrared), and 8-12 mm (long wave infrared or thermal) frequency bands and in the visual range. Because of the variation in distance the targets (kayaks) vary from dim point targets to easily distinguishable objects. This dataset can be used to develop and test mulisensor image fusion schemes and dim target detection algorithms.
DOI: 10.6084/m9.figshare.1007711.v7
title: DDR Experiments 2013

description: Diversity is often associated with the functional stability of ecological communities from microbes to macroorganisms. Understanding how diversity responds to environmental perturbations, and the consequences of this relationship for ecosystem function, are thus central challenges in microbial ecology. Unimodal diversity-disturbance relationships, in which maximum diversity occurs at intermediate levels of disturbance, have been predicted for ecosystems where life-history tradeoffs separate organisms along a disturbance gradient. However, empirical support for such peaked relationships in macrosystems is mixed, and few studies have explored these relationships in microbial systems. Here we use complex microbial microcosm communities to systematically determine diversity-disturbance relationships over a range of disturbance regimes. We observed a reproducible switch between community types, which gave rise to transient diversity maxima when community types were forced to mix. Communities showed reduced compositional stability when diversity was highest. To further explore these dynamics, we formulated a simple model that reveals specific regimes under which diversity maxima are stable. Together, our results show how both unimodal and non-unimodal diversity-disturbance relationships can be observed as a system switches between two distinct microbial community states; this process likely occurs across a wide range of spatially and temporally heterogeneous microbial ecosystems.
DOI: 10.6084/m9.figshare.1007637
title: Full Genome Brettanomyces bruxellensis ST05.12/22

description: Enclosed are the assembly (scaffold level) and annotations (CDS and protein level) of a beneficial <em>Brettanomyces bruxellensis</em> strain (ST05.12/22) isolated from a Belgian beer brewery.
DOI: 10.6084/m9.figshare.1007650.v1
title: Kayak image fusion sequence - Part I

description: Here we present part I of the multimodal Kayak image dataset consisting of two image sequences showing three approaching kayaks in a cluttered maritime background. The scenario was registered in the 3-5 mm (mid-wave infrared), and 8-12 mm (long wave infrared or thermal) frequency bands and in the visual range. Because of the variation in distance the targets (kayaks) vary from dim point targets to easily distinguishable objects. This dataset can be used to develop and test mulisensor image fusion schemes and dim target detection algorithms.
DOI: 10.6084/m9.figshare.1007632
title: Paradigmshift? Developing the Information LiteracyTeacher

description: Paradigmatic changes? - Developing the IL teacher This poster presents a 4week educational program aimed at librarians teaching students in higher education. In the program particular attention is given to ways that the combination of information literacy and a process-approach for teaching and learning within higher education challenges the roles of teaching academic librarians. Increased awareness of Information Literacy at Universities worldwide, together with observable changes in educational policy, educational practice, as well as in students’ and researchers’ information behavior calls for changes in the way libraries teach information literacy. To accommodate for the pedagogical challenges The University of Oslo Library developed a program for teaching and learning development for its teaching staff. The program is developed in collaboration with the unit for staff and learning development at the University of Oslo. Building on their own teaching practice at the library, on concepts of learning presented in the program, and on case-discussions, participants must design and present new courses. Participants must present at least two teaching sessions including learning activities, and reflections about the pedagogical approaches underpinning their own teaching practice. Completing the course will give the participants ETSC credit.
DOI: 10.6084/m9.figshare.1007632.v1
title: Paradigmshift? Developing the Information LiteracyTeacher

description: Paradigmatic changes? - Developing the IL teacher This poster presents a 4week educational program aimed at librarians teaching students in higher education. In the program particular attention is given to ways that the combination of information literacy and a process-approach for teaching and learning within higher education challenges the roles of teaching academic librarians. Increased awareness of Information Literacy at Universities worldwide, together with observable changes in educational policy, educational practice, as well as in students’ and researchers’ information behavior calls for changes in the way libraries teach information literacy. To accommodate for the pedagogical challenges The University of Oslo Library developed a program for teaching and learning development for its teaching staff. The program is developed in collaboration with the unit for staff and learning development at the University of Oslo. Building on their own teaching practice at the library, on concepts of learning presented in the program, and on case-discussions, participants must design and present new courses. Participants must present at least two teaching sessions including learning activities, and reflections about the pedagogical approaches underpinning their own teaching practice. Completing the course will give the participants ETSC credit.
DOI: 10.6084/m9.figshare.1007650.v2
title: Kayak image fusion sequence - Part I

description: Here we present part I of the multimodal Kayak image dataset consisting of two image sequences showing three approaching kayaks in a cluttered maritime background. The scenario was registered in the 3-5 mm (mid-wave infrared), and 8-12 mm (long wave infrared or thermal) frequency bands and in the visual range. Because of the variation in distance the targets (kayaks) vary from dim point targets to easily distinguishable objects. This dataset can be used to develop and test mulisensor image fusion schemes and dim target detection algorithms.
DOI: 10.6084/m9.figshare.1007584
title: clim.pact

description: This is an old R-package that is no longer mainained. It was designed for empirical-statistical downscaling and general climate data processing.
DOI: 10.6084/m9.figshare.1007584.v1
title: clim.pact

description: This is an old R-package that is no longer mainained. It was designed for empirical-statistical downscaling and general climate data processing.
DOI: 10.6084/m9.figshare.1006469
title: Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

description: This article presents individual conditional expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. Classical partial dependence plots (PDPs) help visualize the average partial relationship between the predicted response and one or more features. In the presence of substantial interaction effects, the partial response relationship can be heterogeneous. Thus, an average curve, such as the PDP, can obfuscate the complexity of the modeled relationship. Accordingly, ICE plots refine the PDP by graphing the functional relationship between the predicted response and the feature for <i>individual</i> observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate, suggesting where and to what extent heterogeneities might exist. In addition to providing a plotting suite for exploratory analysis, we include a visual test for additive structure in the data-generating model. Through simulated examples and real datasets, we demonstrate how ICE plots can shed light on estimated models in ways PDPs cannot. Procedures outlined are available in the R package ICEbox.
DOI: 10.6084/m9.figshare.1006466
title: Bayesian Nonparametric Instrumental Variables Regression Based on Penalized Splines and Dirichlet Process Mixtures

description: We propose a Bayesian nonparametric instrumental variable approach under additive separability that allows us to correct for endogeneity bias in regression models where the covariate effects enter with unknown functional form. Bias correction relies on a simultaneous equations specification with flexible modeling of the joint error distribution implemented via a Dirichlet process mixture prior. Both the structural and instrumental variable equation are specified in terms of additive predictors comprising penalized splines for nonlinear effects of continuous covariates. Inference is fully Bayesian, employing efficient Markov chain Monte Carlo simulation techniques. The resulting posterior samples do not only provide us with point estimates, but allow us to construct simultaneous credible bands for the nonparametric effects, including data-driven smoothing parameter selection. In addition, improved robustness properties are achieved due to the flexible error distribution specification. Both these features are challenging in the classical framework, making the Bayesian one advantageous. In simulations, we investigate small sample properties and an investigation of the effect of class size on student performance in Israel provides an illustration of the proposed approach which is implemented in an R package <i>bayesIV</i>. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.1006469.v1
title: Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation

description: This article presents Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm. Classical partial dependence plots (PDPs) help visualize the average partial relationship between the predicted response and one or more features. In the presence of substantial interaction effects, the partial response relationship can be heterogeneous. Thus, an average curve, such as the PDP, can obfuscate the complexity of the modeled relationship. Accordingly, ICE plots refine the partial dependence plot by graphing the functional relationship between the predicted response and the feature for <i>individual</i> observations. Specifically, ICE plots highlight the variation in the fitted values across the range of a covariate, suggesting where and to what extent heterogeneities might exist. In addition to providing a plotting suite for exploratory analysis, we include a visual test for additive structure in the data generating model. Through simulated examples and real data sets, we demonstrate how ICE plots can shed light on estimated models in ways PDPs cannot. Procedures outlined are available in the R package ICEbox.
DOI: 10.6084/m9.figshare.1006465
title: Objective Bayesian Model Selection in Generalized Additive Models With Penalized Splines

description: We propose an objective Bayesian approach to the selection of covariates and their penalized splines transformations in generalized additive models. The methodology is based on a combination of continuous mixtures of <i>g</i>-priors for model parameters and a multiplicity-correction prior for the models themselves. We introduce our approach in the normal model and extend it to nonnormal exponential families. A simulation study and an application with binary outcome is provided. An efficient implementation is available in the R package hypergsplines. Supplementary materials for this article are available online.