cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7064074
title: A Review Of Metaheuristics in Fuzzy Time Series Applied To Zero Inflated Datasets

description: The manufacturing efficiency reflects directly on the use of natural resources and leads to a higher environmental impact than needed. Efficiency of an industry can be achieved in many ways, but it always starts with demand management. However some products have erratic and irregular demand patterns as the nature of the usage varies, and this often leads to zero inflated demand datasets, said datasets are difficult to forecast due to the nature of traditional models which usually use moving averages, state of the art machine learning models can achieve good results but use too much data for training. Under this background, this paper investigates the Fuzzy Time Series models and how it evolved from its inception to present time and how the usage of metaheuristics can help with forecasting demand on a small dataset with a high count of zeros, then applies the techniques to other zero inflated dataset to verify its generalization capabilities. Finally another model is applied as comparison.
DOI: 10.5281/zenodo.7064073
title: A Review Of Metaheuristics in Fuzzy Time Series Applied To Zero Inflated Datasets

description: The manufacturing efficiency reflects directly on the use of natural resources and leads to a higher environmental impact than needed. Efficiency of an industry can be achieved in many ways, but it always starts with demand management. However some products have erratic and irregular demand patterns as the nature of the usage varies, and this often leads to zero inflated demand datasets, said datasets are difficult to forecast due to the nature of traditional models which usually use moving averages, state of the art machine learning models can achieve good results but use too much data for training. Under this background, this paper investigates the Fuzzy Time Series models and how it evolved from its inception to present time and how the usage of metaheuristics can help with forecasting demand on a small dataset with a high count of zeros, then applies the techniques to other zero inflated dataset to verify its generalization capabilities. Finally another model is applied as comparison.
DOI: 10.25625/flv19s
title: Global magmatic kimberlite and carbonatite compositions (elemental and isotopic)

description: Global database of isotopic and major element compositions of kimberlites and carbonatites as compiled in Tappe et al. (2017).
DOI: 10.5281/zenodo.7057433
title: "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer"

description: Vahidi, Dara, and Fernando Porté-Agel. "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer." <em>Journal of Fluid Mechanics</em> 943 (2022).
DOI: 10.5281/zenodo.7057434
title: "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer"

description: Vahidi, Dara, and Fernando Porté-Agel. "A physics-based model for wind turbine wake expansion in the atmospheric boundary layer." <em>Journal of Fluid Mechanics</em> 943 (2022).
DOI: 10.25625/jepy8l
title: Global cratonic lamproite-orangeite and related potassic rock compositions

description: Global geochemistry database for cratonic / anorogenic lamproites and related potassic rocks (compiled and screened from GEOROC in April 2020; published in Ngwenya & Tappe, 2021).
DOI: 10.25625/ss1tyi
title: Geochemical compositions of igneous rocks of the Central Andean orocline

description: Compilation of more than 1500 major- and trace-element data points, and 650 Sr-, 610 Nd-, and 570 Pb-isotopic analyses of Mesozoic-Cenozoic (190–0 Ma) magmatic rocks in southern Peru, northern Chile and Bolivia (Central Andean orocline). This compilation was initially published by Mamani et al. (2010) and was based on selected data published up until 2009, combined with new data from that study.
DOI: 10.5523/bris.2kgpk2eeewino2eka4kk8xa61r
title: Neuronal activity patterns in microcircuits of the cerebellar cortical C3 zone during reaching
title: C3 microzones

description: Recordings from C3 microzones in cat cerebellum during a reach retrieval task
DOI: 10.5258/soton/d2300
title: Data set For : A light-guiding urinary catheter for the inhibition of Proteus mirabilis biofilm formation

description: Data set for Journal publication in Frontiers in Microbiology. Data includes - Characterisation of light guiding catheters - Dose response relationship between irradiance and anti biofilm effect for Proteus Mirabilis (PM) - SEM images of effect of blue light on PM biofilm formation. -Microbiological evaluation of light guiding catheters
DOI: 10.5517/ccdc.csd.cc2cpthd
title: CCDC 2195714: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
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.6586952
title: Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018)

description: Document title: Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018) Author: Leszek Chybowski e-mail: l.chybowski@am.szczecin.pl Affiliation: Maritime University of Szczecin, Szczecin, Poland City: Szczecin, Poland Year: 2022 Grant: The research was prepared under Grant 1/S/KPBMIM/22 financed by the Ministry of Science and Higher Education of Poland. Licence: CC BY-NC 2.0
description: One of the primary hazards associated with offshore and deep sea ship operations and primarily ship power plants are fires and explosions, resulting in accidents and incidents with an average frequency of 60 days. This paper discusses the actuality of crankcase explosion hazards in marine main propulsion engines of various types of sea vessels. The assessment was made based on the results of a statistical analysis of historical data from 1972 to 2018. The methodology consists of three stages: a selection query to obtain the source data, analysis of the obtained results (data separation, extraction of additional information, and statistical analysis), synthesis of the obtained information, and drawing conclusions about the numerical indicators describing the statistical distribution of individual events for the given evaluation criteria. An estimate of the proportion of explosions in the analyzed population was made by taking into account the location of the ship at the time of the event, age of the ship, type of main engine, severity of the event, and human casualties. The analysis showed that the risk of crankcase explosions affects ships of all ages, both in crosshead (31%) and trunk piston engines (61%), and that the number of serious incidents (67%) remains constant. Half of all incidents occurring on vessels younger than 15 years old. 58% of explosions took place in engines of most popular prime movers manufacturers). The probability that a main engine crankcase explosion will result in injury or death is 17.34%.
DOI: 10.5281/zenodo.6990607
title: Crankcase explosion models

description: Dataset for crankcase explosion modelling.
DOI: 10.5281/zenodo.6586951
title: Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018)

description: Document title: Raw and preprocessed data on the explosions of crankcases in marine main propulsion engines (1972-2018) Author: Leszek Chybowski e-mail: l.chybowski@am.szczecin.pl Affiliation: Maritime University of Szczecin, Szczecin, Poland City: Szczecin, Poland Year: 2022 Grant: The research was prepared under Grant 1/S/KPBMIM/22 financed by the Ministry of Science and Higher Education of Poland. Licence: CC BY-NC 2.0
description: One of the primary hazards associated with offshore and deep sea ship operations and primarily ship power plants are fires and explosions, resulting in accidents and incidents with an average frequency of 60 days. This paper discusses the actuality of crankcase explosion hazards in marine main propulsion engines of various types of sea vessels. The assessment was made based on the results of a statistical analysis of historical data from 1972 to 2018. The methodology consists of three stages: a selection query to obtain the source data, analysis of the obtained results (data separation, extraction of additional information, and statistical analysis), synthesis of the obtained information, and drawing conclusions about the numerical indicators describing the statistical distribution of individual events for the given evaluation criteria. An estimate of the proportion of explosions in the analyzed population was made by taking into account the location of the ship at the time of the event, age of the ship, type of main engine, severity of the event, and human casualties. The analysis showed that the risk of crankcase explosions affects ships of all ages, both in crosshead (31%) and trunk piston engines (61%), and that the number of serious incidents (67%) remains constant. Half of all incidents occurring on vessels younger than 15 years old. 58% of explosions took place in engines of most popular prime movers manufacturers). The probability that a main engine crankcase explosion will result in injury or death is 17.34%.
DOI: 10.5281/zenodo.6990606
title: Crankcase explosion models

description: Dataset for crankcase explosion modelling.
DOI: 10.6084/m9.figshare.21070072
title: Narimanov, N., Bauer, T., Bonte, D., Fahse, L., & Entling, M.H. (2022). Accelerated invasion through the evolution of dispersal behavior. Global Ecology and Biogeography.

description: Dataset of the study: "Accelerated invasion through the evolution of dispersal behavior" in <em><strong>Global Ecology and Biogeography</strong></em>
DOI: 10.34740/kaggle/dsv/4181042
title: The Death of Queen Elizabeth II
DOI: 10.6084/m9.figshare.16814836
title: Narimanov, N., Bonte, D., & Entling, M. H. (2022). Heritability of dispersal in a rapidly spreading invasive spider. Animal Behaviour, 183, 93-101.

description: Dataset of the study: "Heritability of dispersal in a rapidly spreading invasive spider" in <em><strong>Animal Behaviour</strong></em><br> <br> https://doi.org/10.1016/j.anbehav.2021.11.002<br> <br>
DOI: 10.6084/m9.figshare.16814836.v2
title: Narimanov, N., Bonte, D., & Entling, M. H. (2022). Heritability of dispersal in a rapidly spreading invasive spider. Animal Behaviour, 183, 93-101.

description: Dataset of the study: "Heritability of dispersal in a rapidly spreading invasive spider" in <em><strong>Animal Behaviour</strong></em><br> <br> https://doi.org/10.1016/j.anbehav.2021.11.002<br> <br>
DOI: 10.6084/m9.figshare.16814836.v1
title: Narimanov, N., Bonte, D., & Entling, M. H. (2021). Heritability of dispersal in a rapidly spreading invasive spider.

description: Data generated during the study on the heritability of the dispersal behaviour of an invasive spider expanding its range in Europe.
DOI: 10.6084/m9.figshare.21070105
title: data.xlsx

description: Carbon footprint calculations by age
DOI: 10.6084/m9.figshare.21070105.v1
title: data.xlsx

description: Carbon footprint calculations by age
DOI: 10.17909/1ct2-x706
title: JWST ERS 1328 Imaging of NGC7469
DOI: 10.5281/zenodo.822989
title: Porto Santo landscape features and endemic lichens occurrence data

description: Landscape features of Porto Santo island of and observation data of endemic lichens belonging to Sparrius et al. 2017, Bryologist.
DOI: 10.5281/zenodo.822990
title: Porto Santo landscape features and endemic lichens occurrence data

description: Landscape features of Porto Santo island of and observation data of endemic lichens belonging to Sparrius et al. 2017, Bryologist.
DOI: 10.34740/kaggle/dsv/4181140
title: YouTube Daily
DOI: 10.6084/m9.figshare.21070183
title: URL.csv

description: Dataset contatining phishing and scam URLs along with their labels
DOI: 10.6084/m9.figshare.21070198
title: phishingfeatures.csv

description: Dataset contatining combination of phishing and legitimate URLs along with several extracted features.
DOI: 10.23728/b2share.59281340dd37485eb2c6a08de3587c13
title: ozone-imputation-data

description: Data of the ozone imputation software (https://gitlab.jsc.fz-juelich.de/esde/machine-learning/ozone-imputation), see README of this repository for usage and information. Structure: - 'aq-bench' contains the AQ-Bench dataset, which can be used to run graph baseline experiments - 'models' contains the predictions of simple models and correct and smooth. - 'uba_graph_dataset' contains the pytorch geometric dataset of this study - 'uba_graph_preproc' contains all .csv files which are used to create the pytorch geometric dataset - 'uba_graph_raw' contains all raw data that were preprocessed to create the pytorch geometric dataset This file structure should be maintained when using the software. Just set the variable resources_dir to the parent directory in the file source/settings.py.
DOI: 10.5281/zenodo.5879226
title: Berliner jüdische Rechtsanwälte und der 13. Deutsche Anwaltstag 1896

description: Die vorliegende Materialsammlung umfasst zentrale Quellen der rechtshistorischen Studie <em>Hamann</em>, Dr. Faust, Rechtsanwalt – Ein fast vergessenes Schauspiel auf der Kreuzung juristischer Zeitgeschichte(n), NJW 75 (2022), 721–726. Es handelt sich bei den vorliegenden Materialien um bislang schwer erhältliche (nun erstmals im Volltext durchsuchbare) Digitalisate gemeinfreier Dokumente sowie von Forschungsarbeiten des Berliner Justizhistorikers und Rechtsanwalts <em>Reinhard Hillebrand</em>, die mit seiner freundlichen Genehmigung zur Verfügung gestellt werden.
DOI: 10.5281/zenodo.5879225
title: Berliner jüdische Rechtsanwälte und der 13. Deutsche Anwaltstag 1896

description: Die vorliegende Materialsammlung umfasst zentrale Quellen der rechtshistorischen Studie <em>Hamann</em>, Dr. Faust, Rechtsanwalt – Ein fast vergessenes Schauspiel auf der Kreuzung juristischer Zeitgeschichte(n), NJW 75 (2022), 721–726. Es handelt sich bei den vorliegenden Materialien um bislang schwer erhältliche (nun erstmals im Volltext durchsuchbare) Digitalisate gemeinfreier Dokumente sowie von Forschungsarbeiten des Berliner Justizhistorikers und Rechtsanwalts <em>Reinhard Hillebrand</em>, die mit seiner freundlichen Genehmigung zur Verfügung gestellt werden.
DOI: 10.6084/m9.figshare.21070204
title: test.xlsx

description: text
DOI: 10.6084/m9.figshare.21070204.v1
title: test.xlsx

description: text
DOI: 10.5281/zenodo.6894535
title: Metadata for Law Journals in the Scopus/Scimago Database as of 2022

description: This file documents the raw data and manual codings (as of July 2022) of 46 journals listed in the Scimago Journal & Country Rank for the search criteria "Subject category: Law", "Region/Country: Germany", and "Year: 2021". These data are the basis of the blog post <em>Hamann/Emmelheinz</em>, "Scopus/Scimago: Useless for Studying Legal Research! An Empirical Assessment of Misclassification Rates in a Popular Scientometric Data Source", Legal|Empirics blog 25 July 2022, DOI 10.25527/re.2022.02.
DOI: 10.5281/zenodo.6894534
title: Metadata for Law Journals in the Scopus/Scimago Database as of 2022

description: This file documents the raw data and manual codings (as of July 2022) of 46 journals listed in the Scimago Journal & Country Rank for the search criteria "Subject category: Law", "Region/Country: Germany", and "Year: 2021". These data are the basis of the blog post <em>Hamann/Emmelheinz</em>, "Scopus/Scimago: Useless for Studying Legal Research! An Empirical Assessment of Misclassification Rates in a Popular Scientometric Data Source", Legal|Empirics blog 25 July 2022, DOI 10.25527/re.2022.02.
DOI: 10.6084/m9.figshare.21070141
title: Data & Code

description: <strong>Comparison between phase-field model and coarse-grained model for characterizing cell-resolved morphological and mechanical properties</strong> <strong>in a multicellular system</strong>
DOI: 10.6084/m9.figshare.21070141.v2
title: Data & Code

description: <strong>Comparison between phase-field model and coarse-grained model for characterizing cell-resolved morphological and mechanical properties</strong> <strong>in a multicellular system</strong>
DOI: 10.6084/m9.figshare.21070141.v1
title: Data & Code

description: <strong>Comparison between phase-field model and coarse-grained model for characterizing cell-resolved morphological and mechanical properties</strong> <strong>in a multicellular system</strong>
DOI: 10.5281/zenodo.5196513
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available.
DOI: 10.5281/zenodo.5465895
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. <strong>Version history</strong> 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios.
DOI: 10.5281/zenodo.5196512
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. <strong>Version history</strong> 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios. 0.3 - Added test data and included a minor fix to hist-aer input data which had misaligned aerosol and GHG data. 0.4 - Fixed an error in the diurnal temperature range due to missing values in some NorESM2 piControl daily temperature data on ESGF. 1.0 - Release version to coincide with accepted version of manuscript. Now includes associated CMIP6 files
DOI: 10.5281/zenodo.5787290
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. <strong>Version history</strong> 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios. 0.3 - Added test data and included a minor fix to hist-aer input data which had misaligned aerosol and GHG data.
DOI: 10.5281/zenodo.7025976
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. <strong>Version history</strong> 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios. 0.3 - Added test data and included a minor fix to hist-aer input data which had misaligned aerosol and GHG data. 0.4 - Fixed an error in the diurnal temperature range due to missing values in some NorESM2 piControl daily temperature data on ESGF.
DOI: 10.5281/zenodo.7064308
title: ClimateBench

description: ClimateBench is a benchmark dataset for climate model emulation inspired by WeatherBench. It consists of NorESM2 simulation outputs with asociated forcing data processed in to a consistent format from a variety of experiments performed for CMIP6. Multiple ensemble members are included where available. Data processing scripts and a baseline model example can be found here. <strong>Version history</strong> 0.1 - Initial release (not including ssp245 data held back for hackathon) 0.2 - Updated release to fix cumulative CO2 concentrations which were calculated incorrectly for future scenarios. 0.3 - Added test data and included a minor fix to hist-aer input data which had misaligned aerosol and GHG data. 0.4 - Fixed an error in the diurnal temperature range due to missing values in some NorESM2 piControl daily temperature data on ESGF. 1.0 - Release version to coincide with accepted version of manuscript. Now includes associated CMIP6 files
DOI: 10.5517/ccdc.csd.cc21hw5m
title: CCDC 1892090: Experimental Crystal Structure Determination

description: Related Article: Juan Sun, Kang Wang, Pei Jing, Jiao Lu, Licun Li|2019|Cryst.Growth Des.|19|3576|doi:10.1021/acs.cgd.9b00489
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: 10.5517/ccdc.csd.cc21hw6n
title: CCDC 1892091: Experimental Crystal Structure Determination

description: Related Article: Juan Sun, Kang Wang, Pei Jing, Jiao Lu, Licun Li|2019|Cryst.Growth Des.|19|3576|doi:10.1021/acs.cgd.9b00489
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: 10.5517/ccdc.csd.cc21hw7p
title: CCDC 1892092: Experimental Crystal Structure Determination

description: Related Article: Juan Sun, Kang Wang, Pei Jing, Jiao Lu, Licun Li|2019|Cryst.Growth Des.|19|3576|doi:10.1021/acs.cgd.9b00489
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: 10.5517/ccdc.csd.cc21hw8q
title: CCDC 1892093: Experimental Crystal Structure Determination

description: Related Article: Juan Sun, Kang Wang, Pei Jing, Jiao Lu, Licun Li|2019|Cryst.Growth Des.|19|3576|doi:10.1021/acs.cgd.9b00489
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.