cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1037583
title: Estimating Rear-End Accident Probabilities at Signalized Intersections: A Comparison Study of Intersections With and Without Green Signal Countdown Devices

description: <b>Objective:</b> Rear-end accidents are the most common accident type at signalized intersections, because the diversity of actions taken increases due to signal change. Green signal countdown devices (GSCDs), which have been widely installed in Asia, are thought to have the potential of improving capacity and reducing accidents, but some negative effects on intersection safety have been observed in practice; for example, an increase in rear-end accidents.<b>Methods:</b> A microscopic modeling approach was applied to estimate rear-end accident probability during the phase transition interval in the study. The rear-end accident probability is determined by the following probabilities: (1) a leading vehicle makes a “stop” decision, which was formulated by using a binary logistic model, and (2) the following vehicle fails to stop in the available stopping distance, which is closely related to the critical deceleration used by the leading vehicle. Based on the field observation carried out at 2 GSCD intersections and 2 NGSCD intersections (i.e., intersections without GSCD devices) along an arterial in Suzhou, the rear-end probabilities at GSCD and NGSCD intersections were calculated using Monte Carlo simulation.<b>Results:</b> The results suggested that, on the one hand, GSCDs caused significantly negative safety effects during the flashing green interval, especially for vehicles in a zone ranging from 15 to 70 m; on the other hand, GSCD devices were helpful in reducing rear-end accidents during the yellow interval, especially in a zone from 0 to 50 m.<b>Conclusions:</b> GSCDs helped shorten indecision zones and reduce rear-end collisions near the stop line during the yellow interval, but they easily resulted in risky car following behavior and much higher rear-end collision probabilities at indecision zones during both flashing green and yellow intervals. GSCDs are recommended to be cautiously installed and education on safe driving behavior should be available.
DOI: 10.6084/m9.figshare.1037609.v2
title: Meta-analysis of clinical dose response in a large drug development portfolio

description: Results of a meta-analysis are reported based on dose response studies conducted by a large pharmaceutical company between 1998-2009. Data collection targeted efficacy endpoints from all compounds with evidence of clinical efficacy during the time period. Safety data were not extracted. The goal of the meta-analysis was to identify consistent quantitative patterns in dose response across different compounds and diseases. Summaries of the study designs are reported, including the number of studies conducted for each compound, dosing range, the number of doses evaluated, and the number of patients per dose. The E<sub>max</sub> model, ubiquitous in pharmacology research, was fit for each compound. It described the data well, except for a single compound, which had non-monotone dose response. Compound-specific estimates and Bayesian hierarchical modeling showed that dose response curves for most compounds can be approximated by E<sub>max</sub> models with ’Hill’ parameters close to 1.0. Summaries of the potency estimates show pharmacometric predictions of potency made before the first dose ranging study within a (1/10, 10) multiple of the final estimates for 90% of compounds. The results of the meta-analysis, when combined with compound-specific information, provide an empirical basis for designing and analyzing new dose finding studies using parametric Emax models and Bayesian estimation with empirically-derived prior distributions.
DOI: 10.6084/m9.figshare.1037583.v1
title: Estimating Rear-End Accident Probabilities at Signalized Intersections: A Comparison Study of Intersections With and Without Green Signal Countdown Devices

description: <b>Objective:</b> Rear-end accidents are the most common accident type at signalized intersections, because the diversity of actions taken increases due to signal change. Green signal countdown devices (GSCDs), which have been widely installed in Asia, are thought to have the potential of improving capacity and reducing accidents, but some negative effects on intersection safety have been observed in practice; for example, an increase in rear-end accidents.<b>Methods:</b> A microscopic modeling approach was applied to estimate rear-end accident probability during the phase transition interval in the study. The rear-end accident probability is determined by the following probabilities: (1) a leading vehicle makes a “stop” decision, which was formulated by using a binary logistic model, and (2) the following vehicle fails to stop in the available stopping distance, which is closely related to the critical deceleration used by the leading vehicle. Based on the field observation carried out at 2 GSCD intersections and 2 NGSCD intersections (i.e., intersections without GSCD devices) along an arterial in Suzhou, the rear-end probabilities at GSCD and NGSCD intersections were calculated using Monte Carlo simulation.<b>Results:</b> The results suggested that, on the one hand, GSCDs caused significantly negative safety effects during the flashing green interval, especially for vehicles in a zone ranging from 15 to 70 m; on the other hand, GSCD devices were helpful in reducing rear-end accidents during the yellow interval, especially in a zone from 0 to 50 m.<b>Conclusions:</b> GSCDs helped shorten indecision zones and reduce rear-end collisions near the stop line during the yellow interval, but they easily resulted in risky car following behavior and much higher rear-end collision probabilities at indecision zones during both flashing green and yellow intervals. GSCDs are recommended to be cautiously installed and education on safe driving behavior should be available.
DOI: 10.6084/m9.figshare.1037609.v4
title: Meta-Analysis of Clinical Dose–Response in a Large Drug Development Portfolio

description: This article reports the results of a meta-analysis based on dose–response studies conducted by a large pharmaceutical company between 1998–2009. Data collection targeted efficacy endpoints from all compounds with evidence of clinical efficacy during the time period. Safety data were not extracted. The goal of the meta-analysis was to identify consistent quantitative patterns in dose–response across different compounds and diseases. The article presents summaries of the study designs, including the number of studies conducted for each compound, dosing range, the number of doses evaluated, and the number of patients per dose. The E<sub>max </sub> model, ubiquitous in pharmacology research, was fit for each compound. It described the data well, except for a single compound, which had nonmonotone dose–response. Compound-specific estimates and Bayesian hierarchical modeling showed that dose–response curves for most compounds can be approximated by E<sub>max </sub> models with “Hill” parameters close to 1.0. Summaries of the potency estimates show pharmacometric predictions of potency made before the first dose ranging study within a (1/10, 10) multiple of the final estimates for 90% of compounds. The results of the meta-analysis, when combined with compound-specific information, provide an empirical basis for designing and analyzing new dose finding studies using parametric E<sub>max</sub> models and Bayesian estimation with empirically derived prior distributions.
DOI: 10.6084/m9.figshare.1037581
title: Road Safety Forecasts in Five European Countries Using Structural Time Series Models

description: <b>Objective:</b> Modeling road safety development is a complex task and needs to consider both the quantifiable impact of specific parameters as well as the underlying trends that cannot always be measured or observed. The objective of this research is to apply structural time series models for obtaining reliable medium- to long-term forecasts of road traffic fatality risk using data from 5 countries with different characteristics from all over Europe (Cyprus, Greece, Hungary, Norway, and Switzerland).<b>Methods:</b> Two structural time series models are considered: (1) the local linear trend model and the (2) latent risk time series model. Furthermore, a structured decision tree for the selection of the applicable model for each situation (developed within the Road Safety Data, Collection, Transfer and Analysis [DaCoTA] research project, cofunded by the European Commission) is outlined. First, the fatality and exposure data that are used for the development of the models are presented and explored. Then, the modeling process is presented, including the model selection process, introduction of intervention variables, and development of mobility scenarios.<b>Results:</b> The forecasts using the developed models appear to be realistic and within acceptable confidence intervals. The proposed methodology is proved to be very efficient for handling different cases of data availability and quality, providing an appropriate alternative from the family of structural time series models in each country.<b>Conclusions:</b> A concluding section providing perspectives and directions for future research is presented.
DOI: 10.6084/m9.figshare.1037609.v3
title: Meta-analysis of clinical dose response in a large drug development portfolio

description: Results of a meta-analysis are reported based on dose response studies conducted by a large pharmaceutical company between 1998-2009. Data collection targeted efficacy endpoints from all compounds with evidence of clinical efficacy during the time period. Safety data were not extracted. The goal of the meta-analysis was to identify consistent quantitative patterns in dose response across different compounds and diseases. Summaries of the study designs are reported, including the number of studies conducted for each compound, dosing range, the number of doses evaluated, and the number of patients per dose. The E<sub>max</sub> model, ubiquitous in pharmacology research, was fit for each compound. It described the data well, except for a single compound, which had non-monotone dose response. Compound-specific estimates and Bayesian hierarchical modeling showed that dose response curves for most compounds can be approximated by E<sub>max</sub> models with ’Hill’ parameters close to 1.0. Summaries of the potency estimates show pharmacometric predictions of potency made before the first dose ranging study within a (1/10, 10) multiple of the final estimates for 90% of compounds. The results of the meta-analysis, when combined with compound-specific information, provide an empirical basis for designing and analyzing new dose finding studies using parametric Emax models and Bayesian estimation with empirically-derived prior distributions.
DOI: 10.6084/m9.figshare.1037581.v1
title: Road Safety Forecasts in Five European Countries Using Structural Time Series Models

description: <b>Objective:</b> Modeling road safety development is a complex task and needs to consider both the quantifiable impact of specific parameters as well as the underlying trends that cannot always be measured or observed. The objective of this research is to apply structural time series models for obtaining reliable medium- to long-term forecasts of road traffic fatality risk using data from 5 countries with different characteristics from all over Europe (Cyprus, Greece, Hungary, Norway, and Switzerland).<b>Methods:</b> Two structural time series models are considered: (1) the local linear trend model and the (2) latent risk time series model. Furthermore, a structured decision tree for the selection of the applicable model for each situation (developed within the Road Safety Data, Collection, Transfer and Analysis [DaCoTA] research project, cofunded by the European Commission) is outlined. First, the fatality and exposure data that are used for the development of the models are presented and explored. Then, the modeling process is presented, including the model selection process, introduction of intervention variables, and development of mobility scenarios.<b>Results:</b> The forecasts using the developed models appear to be realistic and within acceptable confidence intervals. The proposed methodology is proved to be very efficient for handling different cases of data availability and quality, providing an appropriate alternative from the family of structural time series models in each country.<b>Conclusions:</b> A concluding section providing perspectives and directions for future research is presented.
DOI: 10.6084/m9.figshare.1037569
title: IPS 2014, epidemiology and disease management of rice brown spot Research Priorities and Knowledge Gaps

description: Abstract and presentation slides from my Indian Phytopathological Society presentation. A link to Springer is provided, which hosts an open-access review article written by myself and several others on this subject from which I drew many ideas for the presentation.
DOI: 10.6084/m9.figshare.1037555
title: The impact of retweeting

description: A pilot study on the possible impact of retweeting of URLs to scientific articles on altmetric research
DOI: 10.6084/m9.figshare.1037569.v2
title: IPS 2014, epidemiology and disease management of rice brown spot Research Priorities and Knowledge Gaps

description: Abstract and presentation slides from my Indian Phytopathological Society presentation. A link to Springer is provided, which hosts an open-access review article written by myself and several others on this subject from which I drew many ideas for the presentation.
DOI: 10.6084/m9.figshare.1037554
title: The impact of retweeting - Datasheet

description: URLs to scientific articles in Nature, extracted from tweets
DOI: 10.6084/m9.figshare.1037569.v1
title: IPS 2014

description: Abstract and presentation slides from my Indian Phytopathological Society presentation. A link to Springer is provided, which hosts an open-access review article written by myself and several others on this subject from which I drew many ideas for the presentation.
DOI: 10.6084/m9.figshare.1037548
title: ID_Caffeine

description: ID_Caffeine
DOI: 10.6084/m9.figshare.1037548.v1
title: ID_Caffeine

description: ID_Caffeine
DOI: 10.6084/m9.figshare.1037541
title: A new European Late Jurassic pleurosternid (Testudines, Paracryptodira) and a new hypothesis of paracryptodiran phylogeny

description: Paracryptodira was an abundant and diverse group of freshwater turtles, recognized both in North America and Europe. Its known record spans the Middle Jurassic to the Eocene. The internal phylogenetic relationships of one of its clades, Baenidae, are relatively well known. However, information on the relationships amongst the non-baenid members is very limited and, so far, poorly justified. A new study on the phylogenetic relationships amongst Paracryptodira is undertaken here through the revision of previously described taxa, the incorporation of information on taxa recently discovered or revised, and the study of new material. In addition, a new taxon from the Late Jurassic of Europe is described: <i>Riodevemys inumbragigas</i> gen. et sp. nov. It is identified as a member of Pleurosternidae, constituting the first generic and specific attribution of a pleurosternid in the Spanish fossil record. Pleurosternidae is obtained here as a robust node whose composition differs from previous proposals. The relationships amongst representatives are analysed. In addition, we define a new clade, Compsemydidae, identified as the sister group of Baenoidea (Baenidae + Pleurosternidae). The new phylogenetic proposal, and its analysis in view of stratigraphical distributions, shows that Baenidae was a clade of turtles only known in the Cretaceous and Palaeogene of the North American record but that Pleurosternidae and Compsemydidae were distributed both in North America and Europe. The temporal distribution of Pleurosternidae is restricted here, refuting some putatively older and younger occurrences. This new hypothesis restricts its known distribution to the Late Jurassic of North America and the Late Jurassic and the first part of the Early Cretaceous of Europe. The new clade Compsemydidae is recognized in the Late Cretaceous and Palaeocene of North America and in younger levels of the European Palaeocene.http://zoobank.org/urn:lsid:zoobank.org:pub:1BA05241-4DAE-490F-B454-4CF32BCA4B42
DOI: 10.6084/m9.figshare.1037545
title: R-SCRIPT and EXAMPLE DATA to extract incubation from temperature measurements

description: R-SCRIPT and EXAMPLE DATA to extract incubation from nest temperature measurements as described in “Biparental incubation patterns in a high Arctic-breeding shorebird: how do pairs divide their duties?”<br>by M. Bulla, M. Valcu, A. L. Rutten, and B. Kempenaers<br>published in Behavioral Ecology, doi:10.1093/beheco/art098. --------------------------------------------------------------------------------------------------------------------------------------- The R-script<br>- is optimized for data sets with per 5 seconds temperature readings (example data: 5s.txt) as well as for data sets with per 2 minutes temperature readings (artificially spread to each 5 second; example data: 2m.txt)<br>- runs with R (Version 2.15.13) and package zoo (Version 1.7-10) Data collection and how the individual variables and threshold values were derived is described in the paper and its supplementaries. Example data sets are available as 2 text files (values are separated by semi-colon ).<br>Both data set contain of following variables: nest (unique identity of the nest), datetime_ (date and time of the sampled datapoint), t_nest (nest incubation temperature in °C), t_ambient (tundra temperature next to the nest in °C). --------------------------------------------------------------------------------------------------------------------------------------- WHEN USING THIS R-SCRIPT OR DATA, PLEACE CITE THE ORIGINAL PUBLICATION: Bulla M, Valcu M, Rutten AL, Kempenaers B (2014) Biparental incubation patterns in a high Arctic-breeding shorebird: how do pairs divide their duties? Behavioral Ecology 25(1): 152-164. doi:10.1093/beheco/art098 ADDITIONALLY, PLEASE CITE THE FIGSHARE.COM R-SCRIPT and DATA: Bulla M.R-SCRIPT and EXAMPLE DATA to extract incubation from temperature measurements. figshare.com<br>Available at: http://figshare.com/articles/R_SCRIPT_and_EXAMPLE_DATA_to_extract_incubation_from_temperature_measurements/1037545
DOI: 10.6084/m9.figshare.1037541.v2
title: A new European Late Jurassic pleurosternid (Testudines, Paracryptodira) and a new hypothesis of paracryptodiran phylogeny

description: Paracryptodira was an abundant and diverse group of freshwater turtles, recognized both in North America and Europe. Its known record spans the Middle Jurassic to the Eocene. The internal phylogenetic relationships of one of its clades, Baenidae, are relatively well known. However, information on the relationships amongst the non-baenid members is very limited and, so far, poorly justified. A new study on the phylogenetic relationships amongst Paracryptodira is undertaken here through the revision of previously described taxa, the incorporation of information on taxa recently discovered or revised, and the study of new material. In addition, a new taxon from the Late Jurassic of Europe is described: <i>Riodevemys inumbragigas</i> gen. et sp. nov. It is identified as a member of Pleurosternidae, constituting the first generic and specific attribution of a pleurosternid in the Spanish fossil record. Pleurosternidae is obtained here as a robust node whose composition differs from previous proposals. The relationships amongst representatives are analysed. In addition, we define a new clade, Compsemydidae, identified as the sister group of Baenoidea (Baenidae + Pleurosternidae). The new phylogenetic proposal, and its analysis in view of stratigraphical distributions, shows that Baenidae was a clade of turtles only known in the Cretaceous and Palaeogene of the North American record but that Pleurosternidae and Compsemydidae were distributed both in North America and Europe. The temporal distribution of Pleurosternidae is restricted here, refuting some putatively older and younger occurrences. This new hypothesis restricts its known distribution to the Late Jurassic of North America and the Late Jurassic and the first part of the Early Cretaceous of Europe. The new clade Compsemydidae is recognized in the Late Cretaceous and Palaeocene of North America and in younger levels of the European Palaeocene.http://zoobank.org/urn:lsid:zoobank.org:pub:1BA05241-4DAE-490F-B454-4CF32BCA4B42
DOI: 10.6084/m9.figshare.1037541.v1
title: A new European Late Jurassic pleurosternid (Testudines, Paracryptodira) and a new hypothesis of paracryptodiran phylogeny

description: Paracryptodira was an abundant and diverse group of freshwater turtles, recognized both in North America and Europe. Its known record spans the Middle Jurassic to the Eocene. The internal phylogenetic relationships of one of its clades, Baenidae, are relatively well known. However, information on the relationships amongst the non-baenid members is very limited and, so far, poorly justified. A new study on the phylogenetic relationships amongst Paracryptodira is undertaken here through the revision of previously described taxa, the incorporation of information on taxa recently discovered or revised, and the study of new material. In addition, a new taxon from the Late Jurassic of Europe is described: <i>Riodevemys inumbragigas</i> gen. et sp. nov. It is identified as a member of Pleurosternidae, constituting the first generic and specific attribution of a pleurosternid in the Spanish fossil record. Pleurosternidae is obtained here as a robust node whose composition differs from previous proposals. The relationships amongst representatives are analysed. In addition, we define a new clade, Compsemydidae, identified as the sister group of Baenoidea (Baenidae + Pleurosternidae). The new phylogenetic proposal, and its analysis in view of stratigraphical distributions, shows that Baenidae was a clade of turtles only known in the Cretaceous and Palaeogene of the North American record but that Pleurosternidae and Compsemydidae were distributed both in North America and Europe. The temporal distribution of Pleurosternidae is restricted here, refuting some putatively older and younger occurrences. This new hypothesis restricts its known distribution to the Late Jurassic of North America and the Late Jurassic and the first part of the Early Cretaceous of Europe. The new clade Compsemydidae is recognized in the Late Cretaceous and Palaeocene of North America and in younger levels of the European Palaeocene.http://zoobank.org/urn:lsid:zoobank.org:pub:1BA05241-4DAE-490F-B454-4CF32BCA4B42