cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9848510.v1
title: Spectral decomposition and illustration-inspired visualisation of highly disturbed cerebrovascular blood flow dynamics

description: Informed by high-resolution computational fluid dynamics (CFD) simulations, we present a strategy using a temporal filtering approach to examine the three-dimensional structures of velocity fluctuations filtered based on the global spectral content. Research suggests the presence of transient, turbulent-like flow instabilities at a range of frequencies from 10 Hz up to 1 kHz, some of which are associated with clinical reports of aneurysm vibration or <i>‘bruits’</i>, and which may promote aneurysm growth or rupture. To isolate and visualise these instabilities with respect to their frequency, the filtering technique presented in this work is applied to the flow simulations of three middle cerebral artery (MCA) aneurysms and three internal carotid artery (ICA) siphons. Vortex cores associated with the different frequency bands are then visualised together to highlight their spatiotemporal interactions. Inspired by visual styles of illustration, we present a rendering strategy depicted with outlines, silhouettes and two-tone cel-shading to prevent occlusion and emphasise the resulting flow structures of importance while the other details are given less weight to de-emphasise their presence in the background of the image plane. Reinforcing previous studies in the literature, the current work also confirmed the presence of flow fluctuations to the order of up to 1 kHz when modelled adequately using high-resolution CFD simulations.
DOI: 10.6084/m9.figshare.9848495
title: Flower colour segregation and flower discrimination under the bee vision model in the polymorphic <i>Lysimachia arvensis</i>

description: Floral colour determines pollinator behaviour, strongly affecting plant-mating systems. <i>Lysimachia arvensis</i> has blue- and red-flowered plants and colour inheritance remains largely unknown. A control of floral colour based on one locus, with the red allele as dominant, has been proposed. This proposal cannot explain the sporadic appearance of other floral colours in wild populations. We studied floral colour segregation in <i>L. arvensis</i> and assessed the possibility that pollinators can visually distinguish colour morphs by using Chittka’s hexagon model, sigmoidal model of bee discrimination and experimental studies on pollinator attendance for two years. Hand crossing between morphs originated a homogeneous F1 with salmon-coloured flowers. In the F2, blue, red, salmon morphs and other plants with intermediate colours appeared, suggesting that more than one single locus are involved in colour segregation. Results from the sigmoidal discrimination model suggest that blue, red and salmon flowers can be discriminated by pollinators. In fact, pollinators showed strong colour constancy and discriminated against the salmon morph. Our study shows that “Flower colour” is a natural marker to assess the rate of crossing between morphs. The extreme rarity of salmon flowers in wild populations and flower constancy of <i>L. arvensis</i> pollinators indicates assortative mating.
DOI: 10.6084/m9.figshare.9848495.v1
title: Flower colour segregation and flower discrimination under the bee vision model in the polymorphic <i>Lysimachia arvensis</i>

description: Floral colour determines pollinator behaviour, strongly affecting plant-mating systems. <i>Lysimachia arvensis</i> has blue- and red-flowered plants and colour inheritance remains largely unknown. A control of floral colour based on one locus, with the red allele as dominant, has been proposed. This proposal cannot explain the sporadic appearance of other floral colours in wild populations. We studied floral colour segregation in <i>L. arvensis</i> and assessed the possibility that pollinators can visually distinguish colour morphs by using Chittka’s hexagon model, sigmoidal model of bee discrimination and experimental studies on pollinator attendance for two years. Hand crossing between morphs originated a homogeneous F1 with salmon-coloured flowers. In the F2, blue, red, salmon morphs and other plants with intermediate colours appeared, suggesting that more than one single locus are involved in colour segregation. Results from the sigmoidal discrimination model suggest that blue, red and salmon flowers can be discriminated by pollinators. In fact, pollinators showed strong colour constancy and discriminated against the salmon morph. Our study shows that “Flower colour” is a natural marker to assess the rate of crossing between morphs. The extreme rarity of salmon flowers in wild populations and flower constancy of <i>L. arvensis</i> pollinators indicates assortative mating.
DOI: 10.15468/xm7wur
title: Notes on taxonomy and distribution of Cryptophagus jakowlewi R, 1888 (Coleoptera: Cryptophagidae) with remarks on further species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Esser, Eitter Jens (2018): Notes on taxonomy and distribution of Cryptophagus jakowlewi R, 1888 (Coleoptera: Cryptophagidae) with remarks on further species. Linzer biologische Beiträge 50 (1): 245-253, DOI: http://doi.org/10.5281/zenodo.4002117
DOI: 10.6084/m9.figshare.9848225
title: <i>In silico</i> screening of anti-inflammatory compounds from Lichen by targeting cyclooxygenase-2

description: Non-steroidal anti-inflammatory drugs (NSAID) targeting cyclooxygenase-2 are clinically effective. However, they lack anti-thrombotic activity resulting in incidences of adverse effects like myocardial infarction, gastrointestinal and abdominal discomfort which necessitate for discovering new drug candidates with improved therapeutic effects and tolerability. Various recent researches have suggested that many lichens offer a vast reservoir for anti-inflammatory drug candidates which are natural as well as safe for human consumption. Drug discovery is a very complex and time-consuming process; however, <i>in silico</i> techniques can make this process simple and economic. Hence to find out natural anti-inflammatory compounds, we have carried out the virtual screening of 412 lichen compounds by molecular docking with human Cox-2 enzyme and validated the docking score by X-Score followed by ADMET and Drug-likeness analysis. The resulting 6 top-scored compounds were subjected to Molecular dynamics simulation (MDS) to analyze the stability of docked protein-ligand complex, to assess the fluctuation and conformational changes during protein-ligand interaction. The values of RMSD, Rg, and interaction energy after 30 ns of MDS revealed the good stability of these Lichen compounds in the active site pocket of Cox-2 in compare to reference, JMS. Additionally, we have done the pharmacophore analysis which found many common pharmacophore features between Lichen compounds and well known anti-inflammatory compounds. Our result shows that these lichen compounds are potential anti-inflammatory candidates and could be further modified and evaluated to develop more effective anti-inflammatory drugs with fewer side effects for the treatment of inflammatory diseases. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.9848183
title: Rational MD simulations for improvement the affinity of nanobody against PlGF (placenta growth factor): mutagenesis based on electrostatic interactions

description: AbbreviationsCOMcenter of mass distanceMDmolecular dynamicsMM-PBSAMolecular Mechanics Poisson–Boltzmann Surface AreaNbnanobodyPlGFplacenta growth factorRgradius of gyrationRMSDroot mean-square deviationSASAsolvent-accessible surface areaVEGFvascular endothelial growth factor center of mass distance molecular dynamics Molecular Mechanics Poisson–Boltzmann Surface Area nanobody placenta growth factor radius of gyration root mean-square deviation solvent-accessible surface area vascular endothelial growth factor
DOI: 10.6084/m9.figshare.9848225.v1
title: <i>In silico</i> screening of anti-inflammatory compounds from Lichen by targeting cyclooxygenase-2

description: Non-steroidal anti-inflammatory drugs (NSAID) targeting cyclooxygenase-2 are clinically effective. However, they lack anti-thrombotic activity resulting in incidences of adverse effects like myocardial infarction, gastrointestinal and abdominal discomfort which necessitate for discovering new drug candidates with improved therapeutic effects and tolerability. Various recent researches have suggested that many lichens offer a vast reservoir for anti-inflammatory drug candidates which are natural as well as safe for human consumption. Drug discovery is a very complex and time-consuming process; however, <i>in silico</i> techniques can make this process simple and economic. Hence to find out natural anti-inflammatory compounds, we have carried out the virtual screening of 412 lichen compounds by molecular docking with human Cox-2 enzyme and validated the docking score by X-Score followed by ADMET and Drug-likeness analysis. The resulting 6 top-scored compounds were subjected to Molecular dynamics simulation (MDS) to analyze the stability of docked protein-ligand complex, to assess the fluctuation and conformational changes during protein-ligand interaction. The values of RMSD, Rg, and interaction energy after 30 ns of MDS revealed the good stability of these Lichen compounds in the active site pocket of Cox-2 in compare to reference, JMS. Additionally, we have done the pharmacophore analysis which found many common pharmacophore features between Lichen compounds and well known anti-inflammatory compounds. Our result shows that these lichen compounds are potential anti-inflammatory candidates and could be further modified and evaluated to develop more effective anti-inflammatory drugs with fewer side effects for the treatment of inflammatory diseases. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.9848177
title: MSE Survey Replicate Weights (2018)

description: A set of 1000 replicate weights to aid with variance estimation problems when using the MSE Survey Open Data (2018) published by the USAID Jordan Local Enterprise Support Project.
DOI: 10.6084/m9.figshare.9848168
title: KNOWLEDGE OF PASTORALISTS ON LIVESTOCK DISEASES AND EXPOSURE ASSESSMENT TO BRUCELLOSIS WITHIN RURAL AND PERI-URBAN AREAS IN KAJIADO, KENYA

description: These datasets contains perseptions of pastoralist on livestock diseases that impacts their sources of livelihoods, and some farm level practices that predisposes them to infection with zoonoses which are prevalent within the pastoral systems in Kenya.
DOI: 10.6084/m9.figshare.9848153
title: MSE Survey Open Data (2018) [CSV]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.6084/m9.figshare.9848183.v2
title: Rational MD simulations for improvement the affinity of nanobody against PlGF (placenta growth factor): mutagenesis based on electrostatic interactions

description: AbbreviationsCOMcenter of mass distanceMDmolecular dynamicsMM-PBSAMolecular Mechanics Poisson–Boltzmann Surface AreaNbnanobodyPlGFplacenta growth factorRgradius of gyrationRMSDroot mean-square deviationSASAsolvent-accessible surface areaVEGFvascular endothelial growth factor center of mass distance molecular dynamics Molecular Mechanics Poisson–Boltzmann Surface Area nanobody placenta growth factor radius of gyration root mean-square deviation solvent-accessible surface area vascular endothelial growth factor
DOI: 10.6084/m9.figshare.9848141
title: MSE Survey Open Data (2018) [Stata]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.6084/m9.figshare.9848183.v1
title: Rational MD simulations for improvement the affinity of nanobody against PlGF (placenta growth factor): mutagenesis based on electrostatic interactions

description: Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.9848129
title: MSE Survey Open Data (2018) [R]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.6084/m9.figshare.9848141.v1
title: MSE Survey Open Data (2018) [Stata]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.6084/m9.figshare.9848153.v1
title: MSE Survey Open Data (2018) [CSV]

description: Although Jordan’s economy is dominated by micro and small enterprises (MSEs), relatively little is known about them. To overcome this informational gap, USAID LENS conducted a survey of MSEs in 2014, 2015, and 2018 to better understand Jordanian enterprises and to assess the major barriers and opportunities for growth. The study covers general demographics, workforce trends, firm performance, access to finance, processes and networks, and the impact of the Syrian refugee crisis.<br><br>The survey consists of a range of questions in a two-stage design with stratification. The data gathers representative information for all MSEs operating in the governorates of Amman (excluding the Greater Amman Municipality), Zarqa, Irbid, Karak, Tafilah, and Aqaba (excluding the ASEZA free zone). Although the study is not intended to be national in scope, the target population of the six areas collectively capture 60% of the kingdom’s population.<br>As a complex survey, the research design was undertaken using probability sampling in two phases. In the first phase, 977 geographic clusters were randomly selected from districts in each area. From these clusters, 97,347 households were contacted through door-to-door interviews, of which 10,197 reported owning a business. A sub-sample of 6,385 MSEs was then drawn, stratified by sector governorate. 4,721 of these MSEs were then successfully surveyed in wave I (2014/15) and 1699 in wave II (2018). The results can reliably be generalized to all MSEs within this geographic boundary. For more details, see the weighting report (2018)<br>The public release of the MSE Survey (2018) includes the majority of the data collected in the core 2018 sample. However, to protect privacy of respondents, a number of sensitive and identifying variables have been omitted and generalized. To request access to a full scientific release without these limitations, please contact:<br><br>Bryanna Millis,Senior Technical Advisor, FHI 360bmillis@fhi360.org<br>
DOI: 10.6084/m9.figshare.9848168.v1
title: KNOWLEDGE OF PASTORALISTS ON LIVESTOCK DISEASES AND EXPOSURE ASSESSMENT TO BRUCELLOSIS WITHIN RURAL AND PERI-URBAN AREAS IN KAJIADO, KENYA

description: These datasets contains perseptions of pastoralist on livestock diseases that impacts their sources of livelihoods, and some farm level practices that predisposes them to infection with zoonoses which are prevalent within the pastoral systems in Kenya.