cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14871975.v2
title: Brown hare leverets at wildlife rescue centres in the Czech Republic

description: The data were obtained from the records of the Ministry of the Environment, including information about brown hare leverets admitted to the rehabilitation centres in the Czech Republic since 2010 to 2019.
DOI: 10.6084/m9.figshare.14871975.v1
title: Brown hare leverets at wildlife rescue centres in the Czech Republic

description: The data were obtained from the records of the Ministry of the Environment, including information about brown hare leverets admitted to the rehabilitation centres in the Czech Republic since 2010 to 2019.
DOI: 10.6084/m9.figshare.14832258
title: Covid health care

description: The dataset is on the understanding the attitude, the side effect experienced and the willingness to get vaccinated with the overtly newly introduced COVID 19 vaccine in the country
DOI: 10.6084/m9.figshare.14832258.v3
title: Covid health care

description: The dataset is on the understanding the attitude, the side effect experienced and the willingness to get vaccinated with the overtly newly introduced COVID 19 vaccine in the country
DOI: 10.6084/m9.figshare.14832258.v2
title: Covid health care

description: The dataset is on the understanding the attitude, the side effect experienced and the willingness to get vaccinated with the overtly newly introduced COVID 19 vaccine in the country
DOI: 10.6084/m9.figshare.14872056
title: Supplementary Material for: Interactions of Carbohydrate Intake and Physical Activity with Regulatory Genes Affecting Glycaemia: A Food4Me Study Analysis

description: <b><i>Introduction:</i></b> Carbohydrate intake and physical activity are related to glucose homeostasis, both being influenced by individual genetic makeup. However, the interactions between these 2 factors, as affected by genetics, on glycaemia have been scarcely reported. <b><i>Objective:</i></b> We focused on analysing the interplay between carbohydrate intake and physical activity levels on blood glucose, taking into account a genetic risk score (GRS), based on SNPs related to glucose/energy metabolism. <b><i>Methods:</i></b> A total of 1,271 individuals from the Food4Me cohort, who completed the nutritional intervention, were evaluated at baseline. We collected dietary information by using an online-validated food frequency questionnaire, a questionnaire on physical activity, blood biochemistry by analysis of dried blood spots, and by analysis of selected SNPs. Fifteen out of 31 SNPs, with recognized participation in carbohydrate/energy metabolism, were included in the component analyses. The GRS included risk alleles involved in the control of glycaemia or energy-yielding processes. <b><i>Results:</i></b> Data concerning anthropometric, clinical, metabolic, dietary intake, physical activity, and genetics related to blood glucose levels showed expected trends in European individuals of comparable sex and age, being categorized by lifestyle, BMI, and energy/carbohydrate intakes, in this Food4Me population. Blood glucose was inversely associated with physical activity level (β = −0.041, <i>p</i> = 0.013) and positively correlated with the GRS values (β = 0.015, <i>p</i> = 0.047). Interestingly, an interaction affecting glycaemia, concerning physical activity level with carbohydrate intake, was found (β = −0.060, <i>p</i> = 0.033), which also significantly depended on the genetic background (GRS). <b><i>Conclusions:</i></b> The relationships of carbohydrate intake and physical activity are important in understanding glucose homeostasis, where a role for the genetic background should be ascribed.
DOI: 10.25910/4v7g-nc26
title: Dataset for 'Urban children's connections to nature and environmental behaviours differ with age and gender'
DOI: 10.5281/zenodo.5039924
title: Antennal sensilla of soldier and worker castes of the termite species Odontotermes parvidens (Termitidae: Isoptera: Blattaria) - Raw data

description: <em>Odontotermes parvidens</em> is a commonly found vicious pest species of termite which primarily feed on diverse cellulosic sources. In termites, communication among the nest mates is the basis of all their daily activities and the sensory structures present on the sensory appendages play a crucial role in different social behaviors perceiving and processing various signals of the nest mates and external environments. So, it is essential to understand in details about their sensory structures in order to understand the sensory system of the species <em>O. parvidens.</em> Thus, we have studied the antenna which is one of the primary sensory appendages of both soldier and worker individuals of the species to elucidate various antennal sensory structures and their distribution using scanning electron microscopy. Based on the ultrastructural features of various sensilla, we observed eight types of sensilla as sensilla Chaetica (subtypes I, II, III and IV), sensilla Trichodea (subtypes I and II), sensilla Trichodea Curvata (Subtypes I and II), sensilla Basiconica, sensilla Capitula, Bohm Bristles, sensilla Campaniformia (subtypes I and II) and sensilla Ampullacea on the antenna of soldier and worker castes. We have also discussed the putative functions of all the sensilla observed based on their ultrastructural and distributional characteristics on the antenna of soldier and worker castes of the species <em>O. parvidens</em>.
DOI: 10.5281/zenodo.5039923
title: Antennal sensilla of soldier and worker castes of the termite species Odontotermes parvidens (Termitidae: Isoptera: Blattaria) - Raw data

description: <em>Odontotermes parvidens</em> is a commonly found vicious pest species of termite which primarily feed on diverse cellulosic sources. In termites, communication among the nest mates is the basis of all their daily activities and the sensory structures present on the sensory appendages play a crucial role in different social behaviors perceiving and processing various signals of the nest mates and external environments. So, it is essential to understand in details about their sensory structures in order to understand the sensory system of the species <em>O. parvidens.</em> Thus, we have studied the antenna which is one of the primary sensory appendages of both soldier and worker individuals of the species to elucidate various antennal sensory structures and their distribution using scanning electron microscopy. Based on the ultrastructural features of various sensilla, we observed eight types of sensilla as sensilla Chaetica (subtypes I, II, III and IV), sensilla Trichodea (subtypes I and II), sensilla Trichodea Curvata (Subtypes I and II), sensilla Basiconica, sensilla Capitula, Bohm Bristles, sensilla Campaniformia (subtypes I and II) and sensilla Ampullacea on the antenna of soldier and worker castes. We have also discussed the putative functions of all the sensilla observed based on their ultrastructural and distributional characteristics on the antenna of soldier and worker castes of the species <em>O. parvidens</em>.
DOI: 10.5517/ccdc.csd.cc266frm
title: CCDC 2031980: Experimental Crystal Structure Determination

description: Related Article: Alexandra M. Millimaci, Rowan I. L. Meador, Sara J. Dampf, John D. Chisholm|2020|Isr.J.Chem.|61|322|doi:10.1002/ijch.202000080
DOI: 10.5517/ccdc.csd.cc26tj2n
title: CCDC 2050311: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc26tj3p
title: CCDC 2050312: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc26tj4q
title: CCDC 2050313: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc26tj5r
title: CCDC 2050314: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc26tj6s
title: CCDC 2050315: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc26tj7t
title: CCDC 2050316: Experimental Crystal Structure Determination

description: Related Article: Madeleine A. Ehweiner, Lydia M. Peschel, Niklas Stix, Miljan Z. Ćorović, Ferdinand Belaj, Nadia C. Mösch-Zanetti|2021|Inorg.Chem.|60|8414|doi:10.1021/acs.inorgchem.1c00643
DOI: 10.5517/ccdc.csd.cc2754dz
title: CCDC 2060520: Experimental Crystal Structure Determination

description: Related Article: Anna S. Zalivatskaya,  Alexander A. Golovanov,  Irina A. Boyarskaya,  Mariya A. Kruykova,  Olesya V. Khoroshilova,  Aleksander V. Vasilyev|2021|Eur.J.Org.Chem.|2021|2634|doi:10.1002/ejoc.202100280
DOI: 10.5517/ccdc.csd.cc2727xh
title: CCDC 2057746: Experimental Crystal Structure Determination

description: Related Article: Dian Li, Jinfeng Yang, Bingyan Liu, Jianxian Gong, Zhen Yang|2021|Org.Lett.|23|4532|doi:10.1021/acs.orglett.1c01157
DOI: 10.5517/ccdc.csd.cc2754f0
title: CCDC 2060521: Experimental Crystal Structure Determination

description: Related Article: Anna S. Zalivatskaya,  Alexander A. Golovanov,  Irina A. Boyarskaya,  Mariya A. Kruykova,  Olesya V. Khoroshilova,  Aleksander V. Vasilyev|2021|Eur.J.Org.Chem.|2021|2634|doi:10.1002/ejoc.202100280
DOI: 10.5517/ccdc.csd.cc2756pb
title: CCDC 2060591: Experimental Crystal Structure Determination

description: Related Article: Dian Li, Jinfeng Yang, Bingyan Liu, Jianxian Gong, Zhen Yang|2021|Org.Lett.|23|4532|doi:10.1021/acs.orglett.1c01157
DOI: 10.5517/ccdc.csd.cc2756rd
title: CCDC 2060593: Experimental Crystal Structure Determination

description: Related Article: Dian Li, Jinfeng Yang, Bingyan Liu, Jianxian Gong, Zhen Yang|2021|Org.Lett.|23|4532|doi:10.1021/acs.orglett.1c01157
DOI: 10.5517/ccdc.csd.cc275q38
title: CCDC 2061069: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q49
title: CCDC 2061070: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q5b
title: CCDC 2061071: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q6c
title: CCDC 2061072: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q7d
title: CCDC 2061073: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q8f
title: CCDC 2061074: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275q9g
title: CCDC 2061075: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qbh
title: CCDC 2061076: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qcj
title: CCDC 2061077: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qdk
title: CCDC 2061078: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qfl
title: CCDC 2061079: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qgm
title: CCDC 2061080: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qhn
title: CCDC 2061081: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qjp
title: CCDC 2061082: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qkq
title: CCDC 2061083: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qlr
title: CCDC 2061084: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qms
title: CCDC 2061085: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qnt
title: CCDC 2061086: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qpv
title: CCDC 2061087: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qqw
title: CCDC 2061088: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.5517/ccdc.csd.cc275qrx
title: CCDC 2061089: Experimental Crystal Structure Determination

description: Related Article: Vanessa Braun, Maximilian H. H. Wurzenberger, Valentin Weippert, Jörg Stierstorfer|2021|New J.Chem.|45|11042|doi:10.1039/D1NJ01675J
DOI: 10.25505/fiz.icsd.cc275rz5
title: CSD 2061127: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej,  Evgeny Goreshnik|2021|Eur.J.Inorg.Chem.|2021|1776|doi:10.1002/ejic.202100139
DOI: 10.6084/m9.figshare.14872083
title: Genetic diversity of northern snakehead (Channa argus) and albino northern snakehead from different regions unveiled by the mitochondrial DNA D-loop region

description: The sample collection information about four <i>C. argus </i>populations and three <i>A. argus </i>populations obtained from different geographical locations. The primers were designed using Primer 5.0 (Zhai<i> et al.</i>, 2008). According to the full-length mitochondrial sequence of <i>C. argus </i>published in GenBank (accession number NC 015191.1), the upstream primers for the amplification of D-loop region sequences were 5¢-GCCTCTTTCCTTTACTTCTC-3¢, and the downstream primers were 5¢-GGGTGTATTGAGCCTGATA-3¢.The PCR products were bidirectionally sequenced by Sangon Biotech Co., Ltd. The D-loop sequences were separately aligned and trimmed to equal lengths using the MEGA 5.2 (Tamura<i> et al.</i>, 2011) and ClustalX 2.1 (Thompson<i> et al.</i>, 1997) software. Genetic diversity parameters were estimated using DnaSP 5.0 (Rozas<i> et al.</i>, 2003) software. A Neighbor-joining (NJ) phylogenetic tree and the genetic distance among all the populations (the average genetic distances based on Kimura’s two-parameter model), and A UPGMA (Unweighted Pair Group Method with Arithmetic Mean) tree and the genetic distance among all the populations (the average genetic distances based on Tajima-Nei model) were constructed and computed using MEGA 5.2 software. Arlequin 3.5(Excoffier and Lischer, 2010) was used to calculate the nucleotide composition statistics, molecular analysis of variance (AMOVA), and genetic differentiation index (F-statistics, FST). Network 4.6 (Polzin and Daneshmand, 2003) was used to construct a haploid Reduced media-type (MJ) Network graph.
DOI: 10.25505/fiz.icsd.cc275s18
title: CSD 2061129: Experimental Crystal Structure Determination

description: Related Article: Zoran Mazej,  Evgeny Goreshnik|2021|Eur.J.Inorg.Chem.|2021|1776|doi:10.1002/ejic.202100139
DOI: 10.6084/m9.figshare.14872083.v1
title: Genetic diversity of northern snakehead (Channa argus) and albino northern snakehead from different regions unveiled by the mitochondrial DNA D-loop region

description: The sample collection information about four <i>C. argus </i>populations and three <i>A. argus </i>populations obtained from different geographical locations. The primers were designed using Primer 5.0 (Zhai<i> et al.</i>, 2008). According to the full-length mitochondrial sequence of <i>C. argus </i>published in GenBank (accession number NC 015191.1), the upstream primers for the amplification of D-loop region sequences were 5¢-GCCTCTTTCCTTTACTTCTC-3¢, and the downstream primers were 5¢-GGGTGTATTGAGCCTGATA-3¢.The PCR products were bidirectionally sequenced by Sangon Biotech Co., Ltd. The D-loop sequences were separately aligned and trimmed to equal lengths using the MEGA 5.2 (Tamura<i> et al.</i>, 2011) and ClustalX 2.1 (Thompson<i> et al.</i>, 1997) software. Genetic diversity parameters were estimated using DnaSP 5.0 (Rozas<i> et al.</i>, 2003) software. A Neighbor-joining (NJ) phylogenetic tree and the genetic distance among all the populations (the average genetic distances based on Kimura’s two-parameter model), and A UPGMA (Unweighted Pair Group Method with Arithmetic Mean) tree and the genetic distance among all the populations (the average genetic distances based on Tajima-Nei model) were constructed and computed using MEGA 5.2 software. Arlequin 3.5(Excoffier and Lischer, 2010) was used to calculate the nucleotide composition statistics, molecular analysis of variance (AMOVA), and genetic differentiation index (F-statistics, FST). Network 4.6 (Polzin and Daneshmand, 2003) was used to construct a haploid Reduced media-type (MJ) Network graph.
DOI: 10.6084/m9.figshare.14872059
title: SUS.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.6084/m9.figshare.14872062.v1
title: Pre-survey.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.6084/m9.figshare.14872065.v1
title: Phase1&2.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.6084/m9.figshare.14872059.v1
title: SUS.csvUsing Emojis in a Shoulder-surfing Resistant Authentication Method

description: This Data-set was collected by a Proposed Graphical Authentication Prototype called EmojiSlide along with Google survey. <br>
DOI: 10.5281/zenodo.5036046
title: SAST database of repository Luca App Android

description: SAST database as sqlite database containing the LucaApp Android Gitlab repository. Retrieved on June 21<sup>nd</sup>, 2021 using our SAST analysis pipeline.
DOI: 10.5281/zenodo.5036045
title: SAST database of repository Luca App Android

description: SAST database as sqlite database containing the LucaApp Android Gitlab repository. Retrieved on June 21<sup>nd</sup>, 2021 using our SAST analysis pipeline.
DOI: 10.6084/m9.figshare.14854161.v1
title: Supplementary Material-Detail Enhancement Algorithm for Microscopy Images of Diatom Based on Multi-exposure Image Fusion.

description: The multi-exposure image fusion results of five "Aqualitas" image data sets. Multi-exposure microscopy images are fused for detail enhancement. <br>
DOI: 10.6084/m9.figshare.14872173
title: Experiment.rar

description: Bayesian estiamation of Eigenvector spatial filtering for non-Gaussian georeferenced data
DOI: 10.6084/m9.figshare.14872173.v1
title: Experiment.rar

description: Bayesian estiamation of Eigenvector spatial filtering for non-Gaussian georeferenced data
DOI: 10.5281/zenodo.5040083
title: Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'

description: This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. Version 2 of FI-CLAY/14/856 is provided, including some other updates and corrections also. The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below: 1_Data_Oedometer_test Oedometer test data for Haarajoki clay and Suurpelto clay: Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx) Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx) Extended clay database FI-CLAY/14/856 (version 2) (.xlsx) 2_Code_Jupyter_Notebooks Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb) Readme-file (.txt) 3_Figures_Online_Supplement Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf) More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).