cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1109810.v2
title: Male courtship behaviour and female Wing Interference Pattern preference in Drosophila

description: This is data from a study of female preference for male Wing Interference Patterns in Drosophila melanogaster. Methods and additional information can be found in: Li, Q. 2014.The Colors We Didn’t See: The Heritability of Wing Interference Patterns (WIPs) and Their Roles in Female Choice in Drosophila melanogaster. Master’s thesis, Lund University
DOI: 10.6084/m9.figshare.1108304
title: my fabulous fabfile

description: awef
DOI: 10.6084/m9.figshare.1109553
title: GENOME SEQUENCE ANALYSIS OF IN VITRO AND IN VIVO PHENOTYPES OF BUNYAMWERA AND NGARI VIRUS ISOLATES FROM NORTHERN KENYA

description: The viral isolates including the parental WT, i.e. mixture of SP and LP, were used to infect 90% confluent monolayers of Vero cells at a multiplicity of infection of 0.01. Aliquots of tissue culture fluid were collected at different timepoints and titers determined by plaque assay. The experiment was replicated thrice.The statistical package R was used for fitting exponential growth data using the Kruskal–Wallis test. The detection of correlated error structure in the growth curve data was carried out as follows; the log-transformed data was fit to linear mixed effects models using R, and an AR1 model was determined to fit the data better than a repeated measures model.
DOI: 10.6084/m9.figshare.1109553.v1
title: GENOME SEQUENCE ANALYSIS OF IN VITRO AND IN VIVO PHENOTYPES OF BUNYAMWERA AND NGARI VIRUS ISOLATES FROM NORTHERN KENYA

description: The viral isolates including the parental WT, i.e. mixture of SP and LP, were used to infect 90% confluent monolayers of Vero cells at a multiplicity of infection of 0.01. Aliquots of tissue culture fluid were collected at different timepoints and titers determined by plaque assay. The experiment was replicated thrice.The statistical package R was used for fitting exponential growth data using the Kruskal–Wallis test. The detection of correlated error structure in the growth curve data was carried out as follows; the log-transformed data was fit to linear mixed effects models using R, and an AR1 model was determined to fit the data better than a repeated measures model.
DOI: 10.6084/m9.figshare.1108304.v1
title: my fabulous fabfile

description: awef
DOI: 10.6084/m9.figshare.1108285
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108285.v1
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108285.v2
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108261.v1
title: Holos: Berkeley Ecoinformatics Engine (short presentation)

description: A short presentation on Holos: Berkeley Econinformatics Engine, a tool that integrates past, present, and projected future biological and environmental data to facilitate innovative research in global change biology
DOI: 10.6084/m9.figshare.1108260.v1
title: Using historic data sources to calibrate and validate models of species' range dynamics

description: "Using historic data sources to calibrate and validate models of species' range dynamics". Invited talk, "Understanding biodiversity dynamics using diverse data sources" conference, Australian National University, Canberra, 24 April 2014.
DOI: 10.6084/m9.figshare.1108285.v3
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108249
title: Dataset for http://dx.doi.org/10.1007/s00221-014-4036-4

description: Please see the original Experimental Brain Research paper here: http://dx.doi.org/10.1007/s00221-014-4036-4 In case you use this data in your research, please properly cite these sources.
DOI: 10.6084/m9.figshare.1108249.v1
title: Dataset for http://dx.doi.org/10.1007/s00221-014-4036-4

description: Please see the original Experimental Brain Research paper here: http://dx.doi.org/10.1007/s00221-014-4036-4 In case you use this data in your research, please properly cite these sources.
DOI: 10.6084/m9.figshare.1108285.v4
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108162
title: Likelihood Inferences for High-Dimensional Factor Analysis of Time Series With Applications in Finance

description: This article investigates likelihood inferences for high-dimensional factor analysis of time series data. We develop a matrix decomposition technique to obtain expressions of the likelihood functions and its derivatives. With such expressions, the traditional delta method that relies heavily on score function and Hessian matrix can be extended to high-dimensional cases. We establish asymptotic theories, including consistency and asymptotic normality. Moreover, fast computational algorithms are developed for estimation. Applications to high-dimensional stock price data and portfolio analysis are discussed. The technical proofs of the asymptotic results and the computer codes are available online.
DOI: 10.6084/m9.figshare.1108285.v5
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108123
title: PLOS ONE: Glucagon-Like Peptide-1 Receptor Ligand Interactions: Structural Cross Talk between Ligands and the Extracellular Domain

description: Activation of the glucagon-like peptide-1 receptor (GLP-1R) in pancreatic β-cells potentiates insulin production and is a current therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). Like other class B G protein-coupled receptors (GPCRs), the GLP-1R contains an N-terminal extracellular ligand binding domain. N- terminal truncations on the peptide agonist generate antagonists capable of binding to the extracellular domain, but not capable of activating full length receptor. The main objective of this study was to use Hydrogen/deuterium exchange (HDX) to identify how the amide hydrogen bonding network of peptide ligands and the extracellular domain of GLP-1R (nGLP-1R) were altered by binding interactions and to then use this platform to validate direct binding events for putative GLP-1R modulators. The HDX studies presented here for two GLP-1R peptide ligands indicates that the antagonist exendin- 4[9-39] is significantly destabilized in the presence of nonionic detergents as compared to the agonist exendin-4. Furthermore, HDX can detect stabilization of exendin-4 and exendin-4[9-39] hydrogen bonding networks at the N-terminal helix [Val19 to Lys27] upon binding to the nGLP-1R. In addition we show hydrogen bonding network stabilization on nGLP-1R in response to ligand binding, and validate direct binding events with the extracellular domain of the receptor for putative GLP-1R small molecule ligands.
DOI: 10.6084/m9.figshare.1108162.v2
title: Likelihood Inferences for High-Dimensional Factor Analysis of Time Series With Applications in Finance

description: This article investigates likelihood inferences for high-dimensional factor analysis of time series data. We develop a matrix decomposition technique to obtain expressions of the likelihood functions and its derivatives. With such expressions, the traditional delta method that relies heavily on score function and Hessian matrix can be extended to high-dimensional cases. We establish asymptotic theories, including consistency and asymptotic normality. Moreover, fast computational algorithms are developed for estimation. Applications to high-dimensional stock price data and portfolio analysis are discussed. The technical proofs of the asymptotic results and the computer codes are available online.
DOI: 10.6084/m9.figshare.1108285.v7
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108162.v1
title: Likelihood inferences for high dimensional factor analysis of time series with applications in finance

description: This paper investigates likelihood inferences for high-dimensional factor analysis of time series data. A matrix decomposition technique is developed to obtain expressions of the likelihood functions and its derivatives. With such expressions, the traditional delta method that relies heavily on score function and Hessian matrix can be extended to high dimensional cases. Asymptotic theories including consistency and asymptotic normality are established. Moreover, fast computational algorithms are developed for estimation. Applications to high-dimensional stock price data and portfolio analysis are discussed. The technical proofs of the asymptotic results and the computer codes are available online.
DOI: 10.6084/m9.figshare.1108285.v6
title: FRAPPE Surface Ozone Data

description: Front Range Air Pollution and Photochemistry Experiment surface ozone data provided by the Atmospheric Research Lab headed by Dr. Detlev Helmig at INSTAAR (Institute for Arctic and Alpine Research). *Note: This data is preliminary and has not been edited
DOI: 10.6084/m9.figshare.1108123.v2
title: Glucagon-Like Peptide-1 Receptor Ligand Interactions: Structural Cross Talk between Ligands and the Extracellular Domain

description: Activation of the glucagon-like peptide-1 receptor (GLP-1R) in pancreatic β-cells potentiates insulin production and is a current therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). Like other class B G protein-coupled receptors (GPCRs), the GLP-1R contains an N-terminal extracellular ligand binding domain. N- terminal truncations on the peptide agonist generate antagonists capable of binding to the extracellular domain, but not capable of activating full length receptor. The main objective of this study was to use Hydrogen/deuterium exchange (HDX) to identify how the amide hydrogen bonding network of peptide ligands and the extracellular domain of GLP-1R (nGLP-1R) were altered by binding interactions and to then use this platform to validate direct binding events for putative GLP-1R modulators. The HDX studies presented here for two GLP-1R peptide ligands indicates that the antagonist exendin- 4[9-39] is significantly destabilized in the presence of nonionic detergents as compared to the agonist exendin-4. Furthermore, HDX can detect stabilization of exendin-4 and exendin-4[9-39] hydrogen bonding networks at the N-terminal helix [Val19 to Lys27] upon binding to the nGLP-1R. In addition we show hydrogen bonding network stabilization on nGLP-1R in response to ligand binding, and validate direct binding events with the extracellular domain of the receptor for putative GLP-1R small molecule ligands.
DOI: 10.6084/m9.figshare.1108123.v3
title: Glucagon-Like Peptide-1 Receptor Ligand Interactions: Structural Cross Talk between Ligands and the Extracellular Domain

description: Activation of the glucagon-like peptide-1 receptor (GLP-1R) in pancreatic β-cells potentiates insulin production and is a current therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). Like other class B G protein-coupled receptors (GPCRs), the GLP-1R contains an N-terminal extracellular ligand binding domain. N- terminal truncations on the peptide agonist generate antagonists capable of binding to the extracellular domain, but not capable of activating full length receptor. The main objective of this study was to use Hydrogen/deuterium exchange (HDX) to identify how the amide hydrogen bonding network of peptide ligands and the extracellular domain of GLP-1R (nGLP-1R) were altered by binding interactions and to then use this platform to validate direct binding events for putative GLP-1R modulators. The HDX studies presented here for two GLP-1R peptide ligands indicates that the antagonist exendin- 4[9-39] is significantly destabilized in the presence of nonionic detergents as compared to the agonist exendin-4. Furthermore, HDX can detect stabilization of exendin-4 and exendin-4[9-39] hydrogen bonding networks at the N-terminal helix [Val19 to Lys27] upon binding to the nGLP-1R. In addition we show hydrogen bonding network stabilization on nGLP-1R in response to ligand binding, and validate direct binding events with the extracellular domain of the receptor for putative GLP-1R small molecule ligands.
DOI: 10.6084/m9.figshare.1108123.v5
title: PLOS ONE: Glucagon-Like Peptide-1 Receptor Ligand Interactions: Structural Cross Talk between Ligands and the Extracellular Domain

description: Activation of the glucagon-like peptide-1 receptor (GLP-1R) in pancreatic β-cells potentiates insulin production and is a current therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). Like other class B G protein-coupled receptors (GPCRs), the GLP-1R contains an N-terminal extracellular ligand binding domain. N- terminal truncations on the peptide agonist generate antagonists capable of binding to the extracellular domain, but not capable of activating full length receptor. The main objective of this study was to use Hydrogen/deuterium exchange (HDX) to identify how the amide hydrogen bonding network of peptide ligands and the extracellular domain of GLP-1R (nGLP-1R) were altered by binding interactions and to then use this platform to validate direct binding events for putative GLP-1R modulators. The HDX studies presented here for two GLP-1R peptide ligands indicates that the antagonist exendin- 4[9-39] is significantly destabilized in the presence of nonionic detergents as compared to the agonist exendin-4. Furthermore, HDX can detect stabilization of exendin-4 and exendin-4[9-39] hydrogen bonding networks at the N-terminal helix [Val19 to Lys27] upon binding to the nGLP-1R. In addition we show hydrogen bonding network stabilization on nGLP-1R in response to ligand binding, and validate direct binding events with the extracellular domain of the receptor for putative GLP-1R small molecule ligands.
DOI: 10.6084/m9.figshare.1108108
title: drought-induced mortality locations

description: Includes the locations, dates, references used for the publication "Is drought-induced forest dieback globally increasing?" by Steinkamp & Hickler The locations are based on Allen et al. (2010): A global overview of drought and heat-induced<br>tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management, 259(4), 660-684. and Scholes, R. et al., (2014): Terrestrial and Inland Water Systems. In C. Field et al., eds. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Available at: http://ipcc-wg2.gov/AR5/images/uploads/WGIIAR5-Chap4_FGDall.pdf [Accessed March 31, 2014]. Plus some additional information derived from model simulation by the dynamic vegetation model LPJ-GUESS This work is published in Steinkamp & Hickler (accepted): Is drought-induced forest dieback globally increasing? Journal of Ecology.
DOI: 10.6084/m9.figshare.1108123.v4
title: Glucagon-Like Peptide-1 Receptor Ligand Interactions: Structural Cross Talk between Ligands and the Extracellular Domain

description: Activation of the glucagon-like peptide-1 receptor (GLP-1R) in pancreatic β-cells potentiates insulin production and is a current therapeutic target for the treatment of type 2 diabetes mellitus (T2DM). Like other class B G protein-coupled receptors (GPCRs), the GLP-1R contains an N-terminal extracellular ligand binding domain. N- terminal truncations on the peptide agonist generate antagonists capable of binding to the extracellular domain, but not capable of activating full length receptor. The main objective of this study was to use Hydrogen/deuterium exchange (HDX) to identify how the amide hydrogen bonding network of peptide ligands and the extracellular domain of GLP-1R (nGLP-1R) were altered by binding interactions and to then use this platform to validate direct binding events for putative GLP-1R modulators. The HDX studies presented here for two GLP-1R peptide ligands indicates that the antagonist exendin- 4[9-39] is significantly destabilized in the presence of nonionic detergents as compared to the agonist exendin-4. Furthermore, HDX can detect stabilization of exendin-4 and exendin-4[9-39] hydrogen bonding networks at the N-terminal helix [Val19 to Lys27] upon binding to the nGLP-1R. In addition we show hydrogen bonding network stabilization on nGLP-1R in response to ligand binding, and validate direct binding events with the extracellular domain of the receptor for putative GLP-1R small molecule ligands.
DOI: 10.6084/m9.figshare.1108108.v1
title: drought-induced mortality locations

description: Includes the locations, dates, references used for the publication "Is drought-induced forest dieback globally increasing?" by Steinkamp & Hickler The locations are based on Allen et al. (2010): A global overview of drought and heat-induced<br>tree mortality reveals emerging climate change risks for forests. Forest Ecology and Management, 259(4), 660-684. and Scholes, R. et al., (2014): Terrestrial and Inland Water Systems. In C. Field et al., eds. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Available at: http://ipcc-wg2.gov/AR5/images/uploads/WGIIAR5-Chap4_FGDall.pdf [Accessed March 31, 2014]. Plus some additional information derived from model simulation by the dynamic vegetation model LPJ-GUESS This work is published in Steinkamp & Hickler (accepted): Is drought-induced forest dieback globally increasing? Journal of Ecology.
DOI: 10.6084/m9.figshare.1108080
title: Data for tracking year-to-year changes in intestinal nematode communities of rufous mouse lemurs (Microcebus rufus)

description: The dataset for mentioned publication. The data file contains: - sample: identification numbers - date: trapping date in year-month-day format - year: trapping year - name & chip number: individual identifications for each animal -sex: either F(emale) or M(ale) - fec_weight: is the measured weight of feces used for nematode analysis -rawcount: number of the nematodes -nem_count: the actual proportional amount of nematode eggs or larvae (=fecal egg count) - PS1-6: the sequence number for each putative species - spec_count: putative species number (diversity) -contamination: amount of contamination sequences -SRA_id: accession numbers to Short Read Archive
DOI: 10.6084/m9.figshare.1108079
title: Dataset: High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community

description: Data supporting the manuscript "High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community" (Submitted)
DOI: 10.6084/m9.figshare.1108079.v2
title: Dataset: High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community

description: Data supporting the manuscript "High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community" (Submitted)
DOI: 10.6084/m9.figshare.1108079.v1
title: Dataset: High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community

description: Data supporting the manuscript "High-impact and high-tolerance traits are equally important for establishment of non-native species in a native community" (Submitted)
DOI: 10.6084/m9.figshare.1108071
title: Structure and abundance of bottlenose dolphins (<i>Tursiops truncatus</i>) in coastal Setúbal Bay, Portugal

description: The environmental plasticity of bottlenose dolphins leads to a range of inter-specific variations in ecological parameters that make worldwide generalizations difficult. Thus, regional studies about bottlenose dolphins are important to the overall conservation of this species. The aim of this study was to characterize for the first time bottlenose dolphins that occur in the coastal regions of Setúbal (Portugal) using two temporally distinct datasets: dataset 1 (1998–2001) and those in dataset 2 (2007–2011). Bottlenose dolphins identified in dataset 1 were considered a closed and a more cohesive group than dataset 2, with stable associations and an abundance of 106 (95% CI = 69–192) individuals. Dataset 2 seemed to be composed of an open group of 108 (95% CI = 83–177) animals, with a migration rate of 19% (SE = 0.1) individuals per year, and with low association values. The proportion of ‘regulars’ (dataset 1, 22%; dataset 2, 12%), ‘frequent’ (dataset 1, 10%; dataset 2, 14%) and ‘occasional’ (dataset 1, 68%; dataset 2, 73%) animals was relatively similar between datasets. In addition, there was no matching of individuals between datasets which could be related to large-scale movements of the individuals and/or the carrying capacity of the study area.
DOI: 10.6084/m9.figshare.1108069
title: Sensory Advantages of Fear: Experiment 2 Data

description: The data from Experiment 2 (visual masking). Tabs are individual observers. Each cell shows localisation accuracy (% correct in left-right task) at each SOA for each expression in each stimulus manipulation.
DOI: 10.6084/m9.figshare.1108071.v2
title: Structure and abundance of bottlenose dolphins (<i>Tursiops truncatus</i>) in coastal Setúbal Bay, Portugal

description: The environmental plasticity of bottlenose dolphins leads to a range of inter-specific variations in ecological parameters that make worldwide generalizations difficult. Thus, regional studies about bottlenose dolphins are important to the overall conservation of this species. The aim of this study was to characterize for the first time bottlenose dolphins that occur in the coastal regions of Setúbal (Portugal) using two temporally distinct datasets: dataset 1 (1998–2001) and those in dataset 2 (2007–2011). Bottlenose dolphins identified in dataset 1 were considered a closed and a more cohesive group than dataset 2, with stable associations and an abundance of 106 (95% CI = 69–192) individuals. Dataset 2 seemed to be composed of an open group of 108 (95% CI = 83–177) animals, with a migration rate of 19% (SE = 0.1) individuals per year, and with low association values. The proportion of ‘regulars’ (dataset 1, 22%; dataset 2, 12%), ‘frequent’ (dataset 1, 10%; dataset 2, 14%) and ‘occasional’ (dataset 1, 68%; dataset 2, 73%) animals was relatively similar between datasets. In addition, there was no matching of individuals between datasets which could be related to large-scale movements of the individuals and/or the carrying capacity of the study area.