cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6874618
title: Data set from 'Sequential Feature Selection for Power System Event Classification Utilizing Wide-Area PMU Data'

description: The increasing penetration of intermittent, nonsynchronous<br> generation has led to a reduction in total power<br> system inertia. Low inertia systems are more sensitive to sudden<br> changes, and more susceptible to secondary issues that can result<br> in large scale events. Due to the short time frames involved,<br> automatic methods for power system event detection and diagnosis<br> are required. Wide-area monitoring systems can provide<br> the data required to detect and diagnose events; however due to<br> the increasing quantity of data it is next to impossible for power<br> system operators to manually process raw data. The important<br> information is required to be extracted and presented to system<br> operators for real/near-time decision making and control. This<br> paper demonstrates an approach for the wide-area classification<br> of a number of power system events. A mixture of sequential<br> feature selection and linear discriminant analysis is adopted<br> to reduce the dimensionality of PMU data. Successful event<br> classification is obtained by employing quadratic discriminant<br> analysis on wide-area synchronized frequency, phase angle and<br> voltage measurements. The reliability of the proposed method is<br> evaluated using simulated case studies and benchmarked against<br> other classification methods.
DOI: 10.5281/zenodo.6874617
title: Data set from 'Sequential Feature Selection for Power System Event Classification Utilizing Wide-Area PMU Data'

description: The increasing penetration of intermittent, nonsynchronous<br> generation has led to a reduction in total power<br> system inertia. Low inertia systems are more sensitive to sudden<br> changes, and more susceptible to secondary issues that can result<br> in large scale events. Due to the short time frames involved,<br> automatic methods for power system event detection and diagnosis<br> are required. Wide-area monitoring systems can provide<br> the data required to detect and diagnose events; however due to<br> the increasing quantity of data it is next to impossible for power<br> system operators to manually process raw data. The important<br> information is required to be extracted and presented to system<br> operators for real/near-time decision making and control. This<br> paper demonstrates an approach for the wide-area classification<br> of a number of power system events. A mixture of sequential<br> feature selection and linear discriminant analysis is adopted<br> to reduce the dimensionality of PMU data. Successful event<br> classification is obtained by employing quadratic discriminant<br> analysis on wide-area synchronized frequency, phase angle and<br> voltage measurements. The reliability of the proposed method is<br> evaluated using simulated case studies and benchmarked against<br> other classification methods.
DOI: 10.5281/zenodo.6983654
title: Table S1

description: Summary of the 3He/4He, 4He/20Ne and air-corrected 3He/4He ratios, measured at DA in the period 1991-2021.
DOI: 10.5281/zenodo.6983653
title: Table S1

description: Summary of the 3He/4He, 4He/20Ne and air-corrected 3He/4He ratios, measured at DA in the period 1991-2021.
DOI: 10.5281/zenodo.6908143
title: Municipal-level vaccination data (Sweden)

description: This is a dataset created for a project investigating variation in COVID-19 vaccination rates in Swedish municipalities (aggregated). The dataset compiles data from several publicly available data sources, namely: the Swedish Public Health Agency, the Swedish Election Authority, Statistics Sweden, Frikyrkoundersökning, and the Swedish Association of Local Authorities and Region’s database (KOLADA).
DOI: 10.5281/zenodo.6908144
title: Municipal-level vaccination data (Sweden)

description: This is a dataset created for a project investigating variation in COVID-19 vaccination rates in Swedish municipalities (aggregated). The dataset compiles data from several publicly available data sources, namely: the Swedish Public Health Agency, the Swedish Election Authority, Statistics Sweden, Frikyrkoundersökning, and the Swedish Association of Local Authorities and Region’s database (KOLADA).
DOI: 10.5281/zenodo.6983689
title: Municipal-level vaccination data (Sweden)

description: This is a dataset created for a project investigating variation in COVID-19 vaccination rates in Swedish municipalities (aggregated). The dataset compiles data from several publicly available data sources, namely: the Swedish Public Health Agency, the Swedish Election Authority, Statistics Sweden, Frikyrkoundersökning, and the Swedish Association of Local Authorities and Region’s database (KOLADA).
DOI: 10.5281/zenodo.6983538
title: Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river

description: The matlab data consists of 14 model runs (lab numbers in filenames), each for two timesteps in separate files, namely one for low river flow (ecological timestep 12, which is in month 6) and one for high river flow (ecological timestep 24, which is in month 12). The hydromorphological model is Delf3D, which is coupled to a riparian vegetation model 24 times per year for 150 years (some for 300 years). Each matlab file contains all variables stored by Delft3D and by the vegetation model. The most relevant variables are three-dimensional matrices containing the yearly maps. The various model runs are permutations on only sand, including mud (at various concentrations and erosion thresholds) and/or riparian vegetation. Table: Model runs with lab number, number in the publication, and keyworks describing the model lab run number run number in Kleinhans et al. 2018 properties 153 4 only sand 149 3 mud added default concentration default erosion threshold 131 2 vegetation added 132 1 mud and vegetation 139 5 5 mg/L mud 140 6 50 mg/L 141 7 100 mg/L 162 8 500 mg/L 144 9 0.1 N/m2 critical shear stress 145 10 0.5 N/m2 161 12 500 mg/L 0.5 N/m2 vegetation 160 14 500 mg/L 0.5 N/m2 158 13 800 mg/L 0.5 N/m2 vegetation 159 11 100 mg/L 0.5 N/m2 vegetation The open access paper describing the data and its method of production is:<br> Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river Maarten G. Kleinhans, Bente de Vries, Lisanne Braat, Mijke van Oorschot<br> Earth Surf. Process. Landforms 43(14), 2018<br> https://doi.org/10.1002/esp.4437 The modelling was conducted by Bente de Vries under supervision of Maarten Kleinhans as part of her MSc thesis research, which was embedded in the ERC Consolidator project of Kleinhans.
description: R:\NumericalModeling_Oorschot\Overige data\BentedeVries2017mudvegetation\BentedeVries MScThesis_allier\Delft3D\Delft3D_Bente\Analyse\Workspace_saved2
description: {"references": ["Kleinhans, M., de Vries, B., Braat, L., and van Oorschot, M.: Living landscapes: muddy and vegetated floodplain effects on fluvial pattern in an incised river, Earth Surf. Proc. Land., 43, 1618\u2013 1632, https://doi.org/10.1002/esp.4437, 2018."]}
DOI: 10.5281/zenodo.6983537
title: Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river

description: The matlab data consists of 14 model runs (lab numbers in filenames), each for two timesteps in separate files, namely one for low river flow (ecological timestep 12, which is in month 6) and one for high river flow (ecological timestep 24, which is in month 12). The hydromorphological model is Delf3D, which is coupled to a riparian vegetation model 24 times per year for 150 years (some for 300 years). Each matlab file contains all variables stored by Delft3D and by the vegetation model. The most relevant variables are three-dimensional matrices containing the yearly maps. The various model runs are permutations on only sand, including mud (at various concentrations and erosion thresholds) and/or riparian vegetation. Table: Model runs with lab number, number in the publication, and keyworks describing the model lab run number run number in Kleinhans et al. 2018 properties 153 4 only sand 149 3 mud added default concentration default erosion threshold 131 2 vegetation added 132 1 mud and vegetation 139 5 5 mg/L mud 140 6 50 mg/L 141 7 100 mg/L 162 8 500 mg/L 144 9 0.1 N/m2 critical shear stress 145 10 0.5 N/m2 161 12 500 mg/L 0.5 N/m2 vegetation 160 14 500 mg/L 0.5 N/m2 158 13 800 mg/L 0.5 N/m2 vegetation 159 11 100 mg/L 0.5 N/m2 vegetation The open access paper describing the data and its method of production is:<br> Living landscapes: Muddy and vegetated floodplain effects on fluvial pattern in an incised river Maarten G. Kleinhans, Bente de Vries, Lisanne Braat, Mijke van Oorschot<br> Earth Surf. Process. Landforms 43(14), 2018<br> https://doi.org/10.1002/esp.4437 The modelling was conducted by Bente de Vries under supervision of Maarten Kleinhans as part of her MSc thesis research, which was embedded in the ERC Consolidator project of Kleinhans.
description: R:\NumericalModeling_Oorschot\Overige data\BentedeVries2017mudvegetation\BentedeVries MScThesis_allier\Delft3D\Delft3D_Bente\Analyse\Workspace_saved2
description: {"references": ["Kleinhans, M., de Vries, B., Braat, L., and van Oorschot, M.: Living landscapes: muddy and vegetated floodplain effects on fluvial pattern in an incised river, Earth Surf. Proc. Land., 43, 1618\u2013 1632, https://doi.org/10.1002/esp.4437, 2018."]}
DOI: 10.5517/ccdc.csd.cc2cb1h8
title: CCDC 2184399: Experimental Crystal Structure Determination

description: Related Article: Ummuhan Solmaz, Hakan Arslan|2022|J.Mol.Struct.|1269|133839|doi:10.1016/j.molstruc.2022.133839
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.6689159
title: Base de estimativa populacional desagregada por município

description: Estimativas populacionais desagregadas por município e idade 2014-2020.
DOI: 10.5281/zenodo.6689160
title: Base de estimativa populacional desagregada por município

description: Estimativas populacionais desagregadas por município e idade 2014-2020.
DOI: 10.5281/zenodo.6983670
title: Calibrated Western USA Noah-MP Parameter Set Forced by ERA5-WRF

description: These three files include the default (original) Noah-MP parameter set for the Western USA, and parameter sets based on calibration to daily streamflow data and monthly streamflow data.
DOI: 10.5281/zenodo.6983669
title: Calibrated Western USA Noah-MP Parameter Set Forced by ERA5-WRF

description: These three files include the default (original) Noah-MP parameter set for the Western USA, and parameter sets based on calibration to daily streamflow data and monthly streamflow data.
DOI: 10.15131/shef.data.20474019.v1
title: List of Admonitio Synodalis manuscripts

description: This is a list of all manuscripts known to me that contain the Admonitio Synodalis text. I have provided shelfmarks, bibliographic references, folio numbers (where known), and approximate dates.
DOI: 10.15131/shef.data.20474019
title: List of Admonitio Synodalis manuscripts

description: This is a list of all manuscripts known to me that contain the Admonitio Synodalis text. I have provided shelfmarks, bibliographic references, folio numbers (where known), and approximate dates.
DOI: 10.5281/zenodo.6478177
title: Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining

description: The Supplementary Material of the paper "Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining" includes: <br> 1) APPENDIX 1: SQL Statements for data extraction. Appendix 2: Interview for operating Staff.<br> 2) The DataSet of the normalized data to define the predictive model.
DOI: 10.5281/zenodo.6478176
title: Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining

description: The Supplementary Material of the paper "Supplementary Material: Predictive model using Cross Industry Standard Process for Data Mining" includes: <br> 1) APPENDIX 1: SQL Statements for data extraction. Appendix 2: Interview for operating Staff.<br> 2) The DataSet of the normalized data to define the predictive model.
DOI: 10.6084/m9.figshare.20479977.v1
title: RELIABILITY FITNESS AUTJUDO

description: Reliability test for fitness test in Autjudo project
DOI: 10.6084/m9.figshare.20479977
title: RELIABILITY FITNESS AUTJUDO

description: Reliability test for fitness test in Autjudo project
DOI: 10.5281/zenodo.6983494
title: Raw data for "Fluorescence crosstalk reduction by modulated excitation-synchronous acquisition for multispectral analysis in high-throughput droplet microfluidics."

description: Raw data to quantify the crosstalk reduction and signal resolution improvement by MESA used in Figure 3 and 4. <br>
DOI: 10.5281/zenodo.6983493
title: Raw data for "Fluorescence crosstalk reduction by modulated excitation-synchronous acquisition for multispectral analysis in high-throughput droplet microfluidics."

description: Raw data to quantify the crosstalk reduction and signal resolution improvement by MESA used in Figure 3 and 4. <br>
DOI: 10.6084/m9.figshare.20479986
title: Retrieved studies and results from Insect decline in Brazil: an appraisal of current evidence

description: Studies with information on taxa, localities, habitats, duration, trends in abundance or diversity, and data sources
DOI: 10.6084/m9.figshare.20479986.v1
title: Retrieved studies and results from Insect decline in Brazil: an appraisal of current evidence

description: Studies with information on taxa, localities, habitats, duration, trends in abundance or diversity, and data sources
DOI: 10.5281/zenodo.4532249
title: OSIRIS Ozone

description: OSIRIS spectra of limb scattered sunlight are used to retrieve ozone number density vertical profiles over the altitude range from 10 to 60 km at a vertical resolution of approximately 1.5 km using the a Multiplicative Algebraic Reconstruction Technique, which is a one dimensional modification of a two-dimensional tomographic retrieval algorithm. This technique allows for the consistent merging of the absorption information from radiance measurements at wavelengths in the Chappuis and the Hartley-Huggins bands at each iteration of the inversion. A set of weighting factors is used to determine the importance of each line of sight and each element of the measurement vector for the retrieved state at each altitude. Retrieval algorithm details can be found in Degenstein et al., 2009. The current version of the ozone product is version 5.10, which implements a tangent altitude registration correction algorithm to correct a small long term drift. See Bourassa et al., 2018.
description: Global Coverage
DOI: 10.5281/zenodo.4107207
title: OSIRIS Ozone

description: OSIRIS spectra of limb scattered sunlight are used to retrieve ozone number density vertical profiles over the altitude range from 10 to 60 km at a vertical resolution of approximately 1.5 km using the a Multiplicative Algebraic Reconstruction Technique, which is a one dimensional modification of a two-dimensional tomographic retrieval algorithm. This technique allows for the consistent merging of the absorption information from radiance measurements at wavelengths in the Chappuis and the Hartley-Huggins bands at each iteration of the inversion. A set of weighting factors is used to determine the importance of each line of sight and each element of the measurement vector for the retrieved state at each altitude. Retrieval algorithm details can be found in Degenstein et al., 2009. The current version of the ozone product is version 5.10, which implements a tangent altitude registration correction algorithm to correct a small long term drift. See Bourassa et al., 2018.
description: Global Coverage
DOI: 10.6084/m9.figshare.20281856
title: Industrializing AI-powered drug discovery: lessons learned from the <i>Patrimony</i> computing platform

description: As a mid-size international pharmaceutical company, we initiated 4 years ago the launch of a dedicated high-throughput computing platform supporting drug discovery. The platform named ‘<i>Patrimony’</i> was built up on the initial predicate to capitalize on our proprietary data while leveraging public data sources in order to foster a Computational Precision Medicine approach with the power of artificial intelligence. Specifically, <i>Patrimony</i> is designed to identify novel therapeutic target candidates. With several successful use cases in immuno-inflammatory diseases, and current ongoing extension to applications to oncology and neurology, we document how this industrial computational platform has had a transformational impact on our R&D, making it more competitive, as well time and cost effective through a model-based educated selection of therapeutic targets and drug candidates. We report our achievements, but also our challenges in implementing data access and governance processes, building up hardware and user interfaces, and acculturing scientists to use predictive models to inform decisions.
DOI: 10.6084/m9.figshare.20281856.v1
title: Industrializing AI-powered drug discovery: lessons learned from the <i>Patrimony</i> computing platform

description: As a mid-size international pharmaceutical company, we initiated 4 years ago the launch of a dedicated high-throughput computing platform supporting drug discovery. The platform named ‘<i>Patrimony’</i> was built up on the initial predicate to capitalize on our proprietary data while leveraging public data sources in order to foster a Computational Precision Medicine approach with the power of artificial intelligence. Specifically, <i>Patrimony</i> is designed to identify novel therapeutic target candidates. With several successful use cases in immuno-inflammatory diseases, and current ongoing extension to applications to oncology and neurology, we document how this industrial computational platform has had a transformational impact on our R&D, making it more competitive, as well time and cost effective through a model-based educated selection of therapeutic targets and drug candidates. We report our achievements, but also our challenges in implementing data access and governance processes, building up hardware and user interfaces, and acculturing scientists to use predictive models to inform decisions.
DOI: 10.6084/m9.figshare.20443701.v1
title: Use of essential oils in the diet of slow-growing broilers and their effects on performance

description: ABSTRACT This study proposes to examine the effect of supplementing the diet of slow-growing broilers with essential oils. A total of 270 one-day-old female chicks of the Pesadão Vermelho line, reared in an intensive system, were allocated to one of three treatments (1: Control, without addition of essential oils; 2: Feed supplemented with cinnamon essential oil; and 3: Feed supplemented with lemongrass essential oil) in a completely randomized design with nine replicates of 10 birds each. Growth performance variables were evaluated at 14, 28, 42, 56, and 70 days, whereas carcass yield, primal cuts, and internal organs were analyzed at 71 days of age. Data were subjected to analysis of variance and differences between means were compared using the Scott-Knott test at 5% probability. Supplementation with lemongrass essential oil improved the live weight of birds at 14, 28, and 42 days, as well as feed conversion and feed efficiency at 42 and 56 days of rearing (P&lt;0.05). The treatments with cinnamon and lemongrass essential oils provided the highest thigh yields (P&lt;0.05). The other evaluated variables did not show statistically significant differences (P&gt;0.05) between treatments.
DOI: 10.6084/m9.figshare.20443701
title: Use of essential oils in the diet of slow-growing broilers and their effects on performance

description: ABSTRACT This study proposes to examine the effect of supplementing the diet of slow-growing broilers with essential oils. A total of 270 one-day-old female chicks of the Pesadão Vermelho line, reared in an intensive system, were allocated to one of three treatments (1: Control, without addition of essential oils; 2: Feed supplemented with cinnamon essential oil; and 3: Feed supplemented with lemongrass essential oil) in a completely randomized design with nine replicates of 10 birds each. Growth performance variables were evaluated at 14, 28, 42, 56, and 70 days, whereas carcass yield, primal cuts, and internal organs were analyzed at 71 days of age. Data were subjected to analysis of variance and differences between means were compared using the Scott-Knott test at 5% probability. Supplementation with lemongrass essential oil improved the live weight of birds at 14, 28, and 42 days, as well as feed conversion and feed efficiency at 42 and 56 days of rearing (P&lt;0.05). The treatments with cinnamon and lemongrass essential oils provided the highest thigh yields (P&lt;0.05). The other evaluated variables did not show statistically significant differences (P&gt;0.05) between treatments.
DOI: 10.6084/m9.figshare.20443809
title: AN EXPLORATORY STUDY OF METAPHORS TYPES AND TASKS

description: ABSTRACT How do people interpret metaphors? The goal of this paper is to acknowledge metaphors’ complexity beyond the scope of any specific theory of metaphors. Instead of ignoring contradictory findings, we propose to highlight and analyze regularities and irregularities in our findings, using insights from complex systems science to guide our discussions. In this exploratory study, participants were asked to substitute a metaphor vehicle for a word with a similar meaning and to explain the analogical motivation of the metaphor. There were three types of metaphors: primary, complex, and predicative. This is the first study to compare these three types of metaphors across two different tasks. Results show how metaphors cluster according to its type, but not uniformly. In this quantitative and qualitative analysis, we also show that multiple sources of experiences are available during metaphor interpretation. In conclusion, we highlight that no current theory can accommodate and predict all types of metaphoric behavior different people display in different contexts, but we understand some of the major biases and factors that are involved in metaphor interpretation.
DOI: 10.6084/m9.figshare.20443809.v1
title: AN EXPLORATORY STUDY OF METAPHORS TYPES AND TASKS

description: ABSTRACT How do people interpret metaphors? The goal of this paper is to acknowledge metaphors’ complexity beyond the scope of any specific theory of metaphors. Instead of ignoring contradictory findings, we propose to highlight and analyze regularities and irregularities in our findings, using insights from complex systems science to guide our discussions. In this exploratory study, participants were asked to substitute a metaphor vehicle for a word with a similar meaning and to explain the analogical motivation of the metaphor. There were three types of metaphors: primary, complex, and predicative. This is the first study to compare these three types of metaphors across two different tasks. Results show how metaphors cluster according to its type, but not uniformly. In this quantitative and qualitative analysis, we also show that multiple sources of experiences are available during metaphor interpretation. In conclusion, we highlight that no current theory can accommodate and predict all types of metaphoric behavior different people display in different contexts, but we understand some of the major biases and factors that are involved in metaphor interpretation.