cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16968530
title: A systematic review and meta-analysis on the effect social groups have on the egress times of pedestrian crowds

description: Conflicting results in the literature raise the question of how reliable findings from single experiments on pedestrian crowd movements are. An important example is the effect social groups have on crowd egress times from confined spaces where both increases and decreases were reported. We identify only six comparable studies and conduct the first analysis on this topic that integrates evidence from multiple studies quantitatively, accounting for different sample sizes. The aggregated findings suggest social groups increase average egress times but there is insufficient evidence to reject the null hypothesis of no effect. The conflicting results across published studies are thus likely to have arisen by chance, as experiments are statistically underpowered for determining a small effect. We find no evidence for publication bias in terms of findings or statistical power. Our work presents a quantitative basis for discussing the statistical reliability of experiments considering the high context-dependency of pedestrian dynamics.
DOI: 10.6084/m9.figshare.16968530.v1
title: A systematic review and meta-analysis on the effect social groups have on the egress times of pedestrian crowds

description: Conflicting results in the literature raise the question of how reliable findings from single experiments on pedestrian crowd movements are. An important example is the effect social groups have on crowd egress times from confined spaces where both increases and decreases were reported. We identify only six comparable studies and conduct the first analysis on this topic that integrates evidence from multiple studies quantitatively, accounting for different sample sizes. The aggregated findings suggest social groups increase average egress times but there is insufficient evidence to reject the null hypothesis of no effect. The conflicting results across published studies are thus likely to have arisen by chance, as experiments are statistically underpowered for determining a small effect. We find no evidence for publication bias in terms of findings or statistical power. Our work presents a quantitative basis for discussing the statistical reliability of experiments considering the high context-dependency of pedestrian dynamics.
DOI: 10.6084/m9.figshare.19205021
title: Modeling pedestrian behaviors of boarding and alighting dynamics in urban railway stations

description: Boarding and alighting process is the most complicated behaviour at urban railway stations, and significantly affects the service level and evacuation capacities of stations. This paper quantitatively discusses the individual and group behavioural characteristics of both boarding and alighting passengers. The time headways are extracted from surveillance videos. Based on the data analysis results, an improved cellular automata model is proposed to describe the microscopic dynamics of the boarding and alighting process. In this model, three categories of floor fields are defined to describe passenger behaviour. The number of alighting passengers is included to quantitatively describe the boarding and alighting pattern. The time headway is also used to define the following behaviour with leaders. The model is validated and calibrated from several aspects by real data. The proposed model comprehensively reveals the boarding and alighting dynamics, and it can potentially be used to make crowd management in subway stations.
DOI: 10.6084/m9.figshare.19205021.v1
title: Modeling pedestrian behaviors of boarding and alighting dynamics in urban railway stations

description: Boarding and alighting process is the most complicated behaviour at urban railway stations, and significantly affects the service level and evacuation capacities of stations. This paper quantitatively discusses the individual and group behavioural characteristics of both boarding and alighting passengers. The time headways are extracted from surveillance videos. Based on the data analysis results, an improved cellular automata model is proposed to describe the microscopic dynamics of the boarding and alighting process. In this model, three categories of floor fields are defined to describe passenger behaviour. The number of alighting passengers is included to quantitatively describe the boarding and alighting pattern. The time headway is also used to define the following behaviour with leaders. The model is validated and calibrated from several aspects by real data. The proposed model comprehensively reveals the boarding and alighting dynamics, and it can potentially be used to make crowd management in subway stations.
DOI: 10.6084/m9.figshare.19322460
title: Simulating the effect of measurement errors on pedestrian destination choice model calibration

description: Accurately calibrated pedestrian destination choice models help explain and predict foot traffic in public places by describing how individuals choose locations to visit. Model calibration relies on empirical data, which is subject to measurement errors that can obfuscate calibration. This contribution adds errors to simulated data in a controlled and realistic way which can be applied to many model specifications, demonstrated on a pedestrian destination choice model. Results show that errors can cause calibrated models to generate dynamics that differ substantially from the true dynamics, along with causing bias in parameters and decreased prediction accuracy. By quantifying the size of errors and the impacts on calibration, this work aims to guide researchers in pedestrian destination choice modelling on what level of error is acceptable given the scope of their research.
DOI: 10.6084/m9.figshare.19322460.v1
title: Simulating the effect of measurement errors on pedestrian destination choice model calibration

description: Accurately calibrated pedestrian destination choice models help explain and predict foot traffic in public places by describing how individuals choose locations to visit. Model calibration relies on empirical data, which is subject to measurement errors that can obfuscate calibration. This contribution adds errors to simulated data in a controlled and realistic way which can be applied to many model specifications, demonstrated on a pedestrian destination choice model. Results show that errors can cause calibrated models to generate dynamics that differ substantially from the true dynamics, along with causing bias in parameters and decreased prediction accuracy. By quantifying the size of errors and the impacts on calibration, this work aims to guide researchers in pedestrian destination choice modelling on what level of error is acceptable given the scope of their research.
DOI: 10.6084/m9.figshare.16608649.v2
title: Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling

description: Pedestrians are often encountered walking in the company of some social relations, rather than alone. The social groups thus formed, in variable proportions depending on the context, are not randomly organised but exhibit distinct features, such as the well-known tendency of 3-member groups to be arranged in a <b>V</b>-shape. The existence of group structures might thus impact the collective dynamics of the crowd, possibly in a critical way when emergency situations are considered. After turning a blind eye to these group aspects for years, endeavours to model groups in crowd simulation software have thrived in the past decades. This fairly short review opens on a description of their empirical characteristics and their (more controversial) impact on the global flow. Then, it aims to offer a pedagogical discussion of the main strategies to model such groups, within different types of models, in order to provide guidance for prospective modellers.
DOI: 10.6084/m9.figshare.16608649
title: Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling

description: Pedestrians are often encountered walking in the company of some social relations, rather than alone. The social groups thus formed, in variable proportions depending on the context, are not randomly organised but exhibit distinct features, such as the well-known tendency of 3-member groups to be arranged in a <b>V</b>-shape. The existence of group structures might thus impact the collective dynamics of the crowd, possibly in a critical way when emergency situations are considered. After turning a blind eye to these group aspects for years, endeavours to model groups in crowd simulation software have thrived in the past decades. This fairly short review opens on a description of their empirical characteristics and their (more controversial) impact on the global flow. Then, it aims to offer a pedagogical discussion of the main strategies to model such groups, within different types of models, in order to provide guidance for prospective modellers.
DOI: 10.6084/m9.figshare.16608649.v1
title: Social groups in pedestrian crowds: review of their influence on the dynamics and their modelling

description: Pedestrians are often encountered walking in the company of some social relations, rather than alone. The social groups thus formed, in variable proportions depending on the context, are not randomly organised but exhibit distinct features, such as the well-known tendency of 3-member groups to be arranged in a <b>V</b>-shape. The existence of group structures might thus impact the collective dynamics of the crowd, possibly in a critical way when emergency situations are considered. After turning a blind eye to these group aspects for years, endeavours to model groups in crowd simulation software have thrived in the past decades. This fairly short review opens on a description of their empirical characteristics and their (more controversial) impact on the global flow. Then, it aims to offer a pedagogical discussion of the main strategies to model such groups, within different types of models, in order to provide guidance for prospective modellers.
DOI: 10.34740/kaggle/dsv/4998029
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7640487
title: Environmental sustainability assessment of cleanrooms under changing climate and energy scenarios

description: This is the data for <em>Environmental sustainability assessment of cleanrooms under changing climate and energy scenarios.</em>
DOI: 10.5281/zenodo.7640486
title: Environmental sustainability assessment of cleanrooms under changing climate and energy scenarios

description: This is the data for <em>Environmental sustainability assessment of cleanrooms under changing climate and energy scenarios.</em>
DOI: 10.23698/aida/micromen
title: Coregistered H&E- and VEGF-stained histology slides with diffusion tensor imaging data at 200 μm resolution in meningioma tumors

description: Mean diffusivity (MD) and fractional anisotropy (FA) obtained with diffusion tensor imaging (DTI) have been associated with cell density and tissue anisotropy across tumors, but these associations have been challenged at the microscopic level and several additional histological features have been suggested as contributing to MD and FA. To facilitate investigation of the biological underpinnings of DTI parameters, we performed ex-vivo dMRI at 200 μm isotropic resolution on 16 excised meningioma tumor samples. The samples together span a variety of microstructural features: six different meningioma types and two different grades. Diffusion tensor imaging (DTI) was used to produce maps such as MD, FA, in-plane FA (FAIP), axial diffusivity (AD) or radial diffusivity (RD). The maps were coregistered to H&E (hematoxylin & eosin) and VEGF-stained histological slides.

In this repository, we provide raw and analysed DTI maps coregistered to H&E- and VEGF-stained histology slides, as well as an example analysis of the data that aims to quantify the degree to which cell density (CD), structure anisotropy (SA), as determined from histology, in comparison with convolutional neural network (CNN) account for the intra-tumor variability of MD and FAIP in meningioma tumors. The pipeline used to process the raw DTI data and the coregistration tools are hosted by GitHub and the code related to the our example analysis are available here. Please refer and cite our two journal articles mentioned in the section References below for further information on the processing and if you find this data useful. We hope that data can be used in research and education concerning the link between the meningioma microstructure and parameters obtained by diffusion MRI.
DOI: 10.6084/m9.figshare.21155419.v4
title: Dataset of freshwater macroinvertebrate occurrences from Cuba

description: Dataset of georeferenced occurrence records of freshwater flatworms (Platyhelminthes: Tricladida), insects (Ephemeroptera, Odonata, Hemiptera, Trichoptera, Coleoptera, Diptera), crabs and shrimps (Crustacea: Decapoda), and mollusks (Mollusca) of Cuba. The information was collated from scientific literature, unpublished field records, museum collections and online databases. The dataset is organized in 31 fields that contains information about the taxonomic classification of each recorded species; sex, and life stage of individuals; location, author and date of the record and a reference to the original data source.
DOI: 10.5281/zenodo.7640593
title: Cotranscriptional RNA chemical probing data for ZTP, fluoride, and ppGpp riboswitches

description: Cotranscriptional RNA chemical probing data for the <em>Clostridium beijerinckii pfl</em> ZTP riboswitch, <em>Bacillus cereus crcB </em>fluoride riboswitch, and <em>Clostridiales bacterium oral taxon </em>876<em> </em>str. F0540 ppGpp riboswitch. Data were generated using the Transcription Elongation Complex RNA structure probing-multilength (TECprobe-ML) and single length (TECprobe-SL) procedures.
description: This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R35GM147137 (to E.J.S) and by start-up funding from the University at Buffalo (to E.J.S). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
DOI: 10.5281/zenodo.7640592
title: Cotranscriptional RNA chemical probing data for ZTP, fluoride, and ppGpp riboswitches

description: Cotranscriptional RNA chemical probing data for the <em>Clostridium beijerinckii pfl</em> ZTP riboswitch, <em>Bacillus cereus crcB </em>fluoride riboswitch, and <em>Clostridiales bacterium oral taxon </em>876<em> </em>str. F0540 ppGpp riboswitch. Data were generated using the Transcription Elongation Complex RNA structure probing-multilength (TECprobe-ML) and single length (TECprobe-SL) procedures.
description: This work was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R35GM147137 (to E.J.S) and by start-up funding from the University at Buffalo (to E.J.S). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
DOI: 10.5281/zenodo.7639110
title: Data files of the paper "Energy conversion by magnetic reconnection in multiple ion temperature plasmas"

description: Reconnection rate and energy budget files for the simulations used in for the paper "Energy conversion by magnetic reconnection in multiple ion temperature plasmas". The paper has two simulations. The first one, without cold ions, has his reconnection rate data stored in "rate_147.dat" and the energy budget data in "Ebudget_symm_nocold_Xframe.h5". The second one, with cold ions, has his reconnection rate data stored in "rate.dat" and the energy budget data in "Ebudget_symm_cold_Xframe.h5". On top of that is a datafile from simulation 1 at time 144.5 (corresponding to the time of the picture A in figure 1) with all the output fields from the simulation at this given time.
DOI: 10.5281/zenodo.7639109
title: Data files of the paper "Energy conversion by magnetic reconnection in multiple ion temperature plasmas"

description: Reconnection rate and energy budget files for the simulations used in for the paper "Energy conversion by magnetic reconnection in multiple ion temperature plasmas". The paper has two simulations. The first one, without cold ions, has his reconnection rate data stored in "rate_147.dat" and the energy budget data in "Ebudget_symm_nocold_Xframe.h5". The second one, with cold ions, has his reconnection rate data stored in "rate.dat" and the energy budget data in "Ebudget_symm_cold_Xframe.h5". On top of that is a datafile from simulation 1 at time 144.5 (corresponding to the time of the picture A in figure 1) with all the output fields from the simulation at this given time.
DOI: 10.3886/e184824
title: Network Effectiveness in Education

description: Interorganizational partnerships often emerge as a strategy for responding to complex social problems in a community, such as improving educational outcomes. There are two strategies for organizing such partnerships. At one end of the spectrum are highly organized, networks operated by network administrative organizations. In education, one example of this approach is collective impact networks. Collective impact represents a structured approach to inter-organizational collaboration in which partners share a common goal and common approach to measurement, coordinate their activities, and are convened by a supporting organization. At the other end of the spectrum are self-organized networks operating with participant-led, shared governance. In education, one example of this approach is self-organized networks based around common activities (i.e., early childhood coalitions, and school service provider networks). Some of these networks wax and wane based on the cyclic availability of grant funding. Although a more structured network approach is theorized (Provan & Kenis, 2008) to be beneficial in improving outcomes at the community level, empirical research has yet to study a large set of these networks in comparison. <br>The goals of this research were to:1) examine differences in the structures of planned and emergent inter-organizational networks,<br>2) determine how planned and emergent networks inform the diffusion of information across a community, and <br>3) explore the influence of planned and emergent networks on organizational, network, and community-level outcomes, including whether planned networks result in different community outcomes than emergent networks.<br>
description: Response Rates: We collected longitudinal data on 26 cross-sector education networks in the United States. Networks were matched within states so that one network was a more formal network and the second a more emergent network. The average size of these networks was 36 organizations, ranging from networks with 8 organizations to 121 active organizations (n = 920 organizations). These networks served 1,313,178 students. We conducted two interviews, two years apart, with network leaders. In addition, we surveyed all organizations in the networks with a response rate of 62.7%.
description: telephone interview; web-based survey; This data is derived from three different sources. <br><br>1) Interview Data (not archived)<br><br>2) Survey Data (not archived)<br><br>3) Administrative Data on Educational Outcomes and Community Differences (archived)<br><br>Survey data will be added to this archive in the coming months. Interview data are summarized for qualitative comparative analysis, and the calibrated QCA file is included in this archive. JPART article includes the calibration table.
DOI: 10.3886/e184824v1
title: Network Effectiveness in Education

description: Interorganizational partnerships often emerge as a strategy for responding to complex social problems in a community, such as improving educational outcomes. There are two strategies for organizing such partnerships. At one end of the spectrum are highly organized, networks operated by network administrative organizations. In education, one example of this approach is collective impact networks. Collective impact represents a structured approach to inter-organizational collaboration in which partners share a common goal and common approach to measurement, coordinate their activities, and are convened by a supporting organization. At the other end of the spectrum are self-organized networks operating with participant-led, shared governance. In education, one example of this approach is self-organized networks based around common activities (i.e., early childhood coalitions, and school service provider networks). Some of these networks wax and wane based on the cyclic availability of grant funding. Although a more structured network approach is theorized (Provan & Kenis, 2008) to be beneficial in improving outcomes at the community level, empirical research has yet to study a large set of these networks in comparison. <br>The goals of this research were to:1) examine differences in the structures of planned and emergent inter-organizational networks,<br>2) determine how planned and emergent networks inform the diffusion of information across a community, and <br>3) explore the influence of planned and emergent networks on organizational, network, and community-level outcomes, including whether planned networks result in different community outcomes than emergent networks.<br>
description: Response Rates: We collected longitudinal data on 26 cross-sector education networks in the United States. Networks were matched within states so that one network was a more formal network and the second a more emergent network. The average size of these networks was 36 organizations, ranging from networks with 8 organizations to 121 active organizations (n = 920 organizations). These networks served 1,313,178 students. We conducted two interviews, two years apart, with network leaders. In addition, we surveyed all organizations in the networks with a response rate of 62.7%.
description: telephone interview; web-based survey; This data is derived from three different sources. <br><br>1) Interview Data (not archived)<br><br>2) Survey Data (not archived)<br><br>3) Administrative Data on Educational Outcomes and Community Differences (archived)<br><br>Survey data will be added to this archive in the coming months. Interview data are summarized for qualitative comparative analysis, and the calibrated QCA file is included in this archive. JPART article includes the calibration table.