cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/x509-nx16
title: Polyacrylamide substrate viscosity impact on temozolomide activity in glioblastoma cells by flow cytometry and rheological measurements

description: Dataset includes raw data on cell lines LN-229 and LN-18 treated with temozolomide measured by flow cytometry, rheometry and cell projections. It also includes calculations necessary for creation of figures and conclusions based on those figures in the publication titiled: "Substrate viscosity impairs temozolomide-mediated inhibition  of glioblastoma cells’ growth" published in Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
During the development of central nervous system (CNS) pathologies and cellular responses to medications, the mechanical state of the brain cells' extracellular environment has a significant impact on their phenotype.The examination of the viscoelastic properties of several brain tumors has shown that both tissue stiffness and viscosity may change throughout the progression of disease.Although a substantial number of studies have shown the impact of substrate stiffness on the proliferation, motility, and drug sensitivity of brain cancer cells, there is a lack of comparable evidence about substrate viscosity changes.
On the basis of strain rheometry measurements of viscoelasticity of rat brain samples, polyacrylamide (PAA) hydrogels matching the elastic and viscous characteristics of the tissues were synthesized. Due to increased substrate viscosity, variations in glioblastoma cell shape, proliferation, and cytotoxicity of the anticancer medication temozolomide (TMZ) were evaluated using optical microscopy and flow cytometry.
Changes in substrate viscosity have a little effect on the proliferation of untreated glioma cells, but have a large effect on the apoptosis-associated depolarization of mitochondria and degree of DNA fragmentation. This shows that apparatus for detecting viscosity and stiffness may activate distinct signaling pathways in glioma cells.
Viscosity should be regarded a significant feature in in vitro polymer-based cell culture systems used for drug screening, according to the data collected.
DOI: 10.34808/f60p-2z14
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 20 m, q = 100 deg, j = 135 deg, a =4 m, e = 4, mr = 100

description: The Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0  y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 20 m, q = 100 deg, j = 135 deg, a =4 m, e = 4, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_20_100_135_4_4_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_20_100_135_4_4_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_20_100_135_4_4_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_20_100_135_4_4_100          x coordinate [m]
Per_50%Mx_y_50_70_20_100_135_4_4_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/f8fn-3365
title: The electrochemical response to BDD electrode functionalization with IgG2B receptor

description: This dataset contains the results of the electrochemical impedance spectroscopy (EIS) measurements of the boron-doped diamond (BDD) electrode functionalization with IgG2B receptor. The functionalized electrode was then used for the electrochemical detection of the SARS-CoV-2 virus S1 protein. 
All electrochemical measurements were carried out in a three-electrode system using a potentiostat SP-300 (Biologic) / PalmSens4. The electrolyte was 1 mM K3[Fe(CN)6] and 1 mM K4[Fe(CN)6] in PBS (pH 7.4), deoxidized by passing through a stream of argon prior to measurement. The electrolyte volume was 1 mL. A platinum wire was used as the counter electrode. The reference electrode was a silver chloride electrode with an Ag|AgCl|3M KCl. The working electrode was the functionalised BDD with an electrolyte-exposed surface area of 0.196 cm2. Cyclic voltammetry (CV) measurements were performed from -0.5 to +0.75 V vs. Ag|AgCl|3MKCl with a polarisation rate of 50 mV/s over three cycles. Electrochemical impedance spectroscopy (EIS) measurement was performed for the sample polarised for 30 s to the potential E0’ before the measurement. The measurement was performed in the frequency range from 10 kHz to 0.1 Hz at 11 points per decade. The amplitude of the excitation signal was 10 mV. The procedure details are placed in the metadata.txt file.
The dataset is a part of the results published in the Sensors and Actuators B journal: DOI: 10.1016/j.snb.2022.132427
DOI: 10.34808/xkv6-p535
title: The electrochemical response to glassy carbon electrode modification steps towards viral electrochemical immunosensor preparation

description: The dataset contains the electrochemical measurements (CV/EIS) carried out for the consecutive steps of the glassy carbon GC electrode functionalization, in separate subfolders, as described. The cyclic voltammetry (CV) was conducted using a Palmsens 4 potentiostat/galvanostat system (Methrom, Autolab, Netherlands) in the standard three-electrode configuration, with the Pt mesh was used as a counter electrode, and Ag/AgCl/0.1M KCl as a reference electrode. In the case of the EIS, the frequency ranged from 10 kHz to 0.2 Hz for Au electrode with 40 points. The amplitude of the alternating current (AC) signal was 10 mV. Each potential was held constant for 5 s before each measurement to obtain steady-state conditions. All electrochemical tests were carried out in 5 mM K3[Fe(CN)6]/K4[Fe(CN)6]/in 0.01 M PBS that was previously deaerated. The voltammetric behavior of the modified gold electrode in the presence of a simple redox system, K4[Fe(CN)6] in the supporting electrolyte of 0.1 M KCl, was compared with that of the bare electrode. 
The last step of sensors validation was the cross-reactivity tests performed with different pathogens and patients' saliva swabs sick with COVID-19 as positive samples. To prepare saliva swabs for the electrochemical measurement 1 mL of it was diluted in the 1 mL of electrolyte utilized in the whole experiment, but with twice time higher concentration of electrochemical species to obtain the same concentration of  5mM [Fe(CN)6]3-/4- after dilution. The 30 μL of that mixture was then spotted on the surface of each electrode and left for the incubation time estimated in previous measurements for each electrode material. In cross-reactivity tests the same sample of saliva swab was used for multiple samples of prepared sensors, ensuring better reproducibility and comparability of results. All electrochemical measurements were conducted in the same manner as previous tests. The validation of immunosensors included the optimization of cross-reactivity tests with pathogens other than the target pathogen. The cross-reactivity tests were performed with different pathogens and patients' saliva swabs sick with COVID-19 as positive samples
These results are part of the manuscript published in Biosensors and Bioelectronics: DOI 10.1016/j.bios.2022.114222
DOI: 10.34808/cqqq-zq47
title: Multi-directional analysis of the maintenance of rainwater harvesting systems

description: Presented data are the result of research activity entitled „Multi-directional analysis of the maintenance of rainwater harvesting systems” conducted as a part of MINIATURA 7 competition. The research consisted of a comprehensive assessment of the quality of rainwater collected and stored in a rooftop harvesting system and then purified using inline filter with polypropylene or activated carbon filling. 
Rainwater quality tests included physicochemical and microbiological analyses, particles sizes measurements with the laser granulometer, detection of specific metal ions (as a result of leaching from the core of the roofing material) and GC/MS analysis of selected organic substances (PAHs, phthalates and biocides), probably present in protective cover of the metal roof tiles, material of gutters and storage tank.
DOI: 10.34808/grs8-6c77
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 20 m, q = 80 deg, j = 135 deg, a =4 m, e = 4, mr = 100

description: The Earth magnetic field (Fig.1): BE – total magnetic flux density, BEx – x component of the Earth magnetic flux density, BEy = 0  y component of the Earth magnetic flux density, BEz – z component of the Earth magnetic flux density, I – inclination of the Earth magnetic field.
The symmetrical prolate ellipsoid (Fig.2): L – length of ellipsoid, a – radius of ellipsoid, e – unidimensional coefficient, q - vertical angle, j - horizontal angle.
For each scenarios there are following files:
Per_50%Mx_Bx_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]            By –  component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]             Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]               x coordinate [m]
Per_50%Mx _y_[BE]_[I]_[z]_[q]_[j]_[a]_[e]_[mr]              y coordinate [m]
were:
BE [mT], I [deg], z [m], q [deg], j [deg], mr – relative magnetic permeability
Per_50%Mx – permanent magnetization of an ellipsoid in x direction is equal 50% induced magnetization for q = 90 deg and j = 0 deg
For the following parameters: Be = 50 mT, I = 70 deg, z = 20 m, q = 80 deg, j = 135 deg, a =4 m, e = 4, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_20_80_135_4_4_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_20_80_135_4_4_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_20_80_135_4_4_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_20_80_135_4_4_100          x coordinate [m]
Per_50%Mx_y_50_70_20_80_135_4_4_100         y coordinate [m]
For the following parameters: Be = 50 mT, I = 70 deg, z = 10 m, q = 90 deg, j = -90 deg, a =4 m, e = 5, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_10_90_m90_4_5_100  Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_10_90_m90_4_5_100  By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_10_90_m90_4_5_100  Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_10_90_m90_4_5_100     x coordinate [m]
Per_50%Mx_y_50_70_10_90_m90_4_5_100     y coordinate [m]
DOI: 10.34808/kb5r-sj53
title: Uniform expansion estimates in the cubic map as a function of the parameter

description: This dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
Using an approach based on graph algorithms described in the paper, comprehensive computation was conducted to obtain a lower bound on the expansion exponent λ (Statement 1 in the paper), the constant C (Statement 1 in the paper), and the adjusted exponent λ0 (Statement 2 in the paper). The size of the partition into which the domain of the map was subdivided is denoted by K. The radius of the critical neighborhood is denoted by δ. The key parameter of the map is denoted by a. The parallelization framework introduced in the paper "Parallelization method for a continuous property" by P. Pilarczyk, as published in Foundations of Computational Mathematics, Vol. 10, No. 1 (2010), 93–114, doi: 10.1007/s10208-009-9050-8, was used in order to use several CPUs at a time. Note that the data records are not sorted.
In this specific computation, the cubic map was analyzed with K=5000, δ=0.01, and a∈[−2,2]. Note that the computations were not mathematically rigorous.
The data is provided in plain text format. Each line with comments begins with a semicolon, each line with a single data record begins with an asterisk. Each data record consists of the following items, separated with the space:
the asterisk that indicates the beginning of a data record
the identifier of the data record in the format level:number (e.g., 4:12)
the left endpoint of the parameter interval (minimal parameter value)
the right endpoint of the parameter interval (maximal parameter value)
the total number of intervals that cover both the critical neighborhood and the remainder of the domain of the map
the diameter δ of the critical neighborhood
the computed expansion exponent λ
the computed value of log C (0 if not computed)
the computed value of λ0 (0 if not computed)
the computation time (in seconds)
The actual software that was used to obtain the results and also some illustrations are available at http://www.pawelpilarczyk.com/unifexp/.
DOI: 10.34808/th9p-e861
title: Elgold intermediate: annotated raw

description: The dataset contains a subset of texts from Elgold intermediate: raw texts with named entities marked and linked to corresponding Wikipedia articles. The texts were annotated by 31 participants during the 1.5-hour session.
Each marked entity in the dataset is assigned to one of the following classes:EVENT - Named hurricanes, battles, wars, sports events, etc.FAC - Buildings, airports, highways, bridges, etc.GPE - Countries, cities, statesLANGUAGE - Any named languageLAW - Named documents made into laws.LOC - Non-GPE locations, mountain ranges, bodies of waterNORP - Nationalities or religious or political groupsORG - Companies, agencies, institutions, etc.PERSON - People, including fictionalPRODUCT - Objects, vehicles, foods, etc. (not services)WORK_OF_ART - Titles of books, songs, etc.DISEASE - Names of diseasesSUBSTANCE - Natural substancesSPECIE - Species names of animals, plants, viruses, etc.
The marked entities are embedded directly in the textual files using the following syntax:
{{mention content|entity class|Wikipedia target}}
The "mention content" is a fragment of the textual file that was marked, "entity class" is the named entity class, and "Wikipedia target" is the normalized name of the English Wikipedia page describing the entity. If the entity cannot be linked sensibly to any article the target is empty but the second pipe (|) is preserved. 
The annotated texts were not later verified by the dataset authors. It makes it a good resource for analyzing different understandings of named entity recognition tasks among the annotators.
DOI: 10.34808/4q6t-2p24
title: Photos and movies regarding the dome's real-life model assembly and tests

description: This dataset consists of an archive with the photos and movies regarding the dome's real-life model assembly and tests.
The studies carried out in the "Miniatura 7" scientific grant were devoted to both experimental and theoretical (numerical) measurements executed on a tensegrity dome model (with a Fuller-type grid) to identify the changes in the state of displacements, induced by the occurrence of geometric imperfections in dome's node positions (resulting from changes in the length and position of compressed elements, prestress in tensile elements, and applied loads), along with their statistical and probabilistic analysis.
DOI: 10.34808/9zhd-4f14
title: Continuation classes for a non-linear Leslie population model with 2 varying parameters

description: This dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper "A database schema for the analysis of global dynamics of multiparameter systems" by Z. Arai, W. Kalies, H. Kokubu, K. Mischaikow, H. Oka, P. Pilarczyk, published in SIAM Journal on Applied Dynamical Systems (SIADS), Vol. 8, No. 3 (2009), pp. 757–789, doi: 10.1137/080734935.
The parameter space [8,37]✕[3,50] was sampled at the resolution of 50✕50. The phase space was sampled at the resolution of 2048✕2048. A collection of isolating neighborhoods that enclose Morse sets in a Morse decomposition was computed for each box of parameters, and a Conley-Morse graph was determined, with the Conley indices of the Morse sets computed where feasible. Clutching graphs between Morse decompositions found for adjacent boxes were also computed, and the parameter space was subdivided into classes of equivalent Morse decompositions, as described in the paper. The parallelization framework introduced in the paper "Parallelization method for a continuous property" by P. Pilarczyk was used in the computations, as published in Foundations of Computational Mathematics, Vol. 10, No. 1 (2010), 93–114, doi: 10.1007/s10208-009-9050-8.
The dataset contains the computed classes of parameters that yield equivalent Morse decompositions, also named "continuation classes" in the paper. Only classes of cardinality at least 2 are provided. Each of the continuation classes is defined in a text file "cont*.cub" with the "*" sign replaced by the consecutive number of each class, in the descending order by class cardinality. Each file contains a list of parameter boxes contained in the class. Each box is defined as a comma-separated list of coordinates, with the list enclosed in parentheses. Each box in the file is listed in a separate line. The integer coordinates are both in the range [0,49]. Note that classes of cardinality 1 are not included, as they can be easily determined by verifying which boxes from {0,…,49}✕{0,…,49} are absent in the union of the classes included in the collection.
An interactive browser of all the Conley-Morse graphs and phase space portraits of the Morse decompositions provided in the current series of datasets is available at the address http://www.pawelpilarczyk.com/database/.
DOI: 10.34808/fdas-vx70
title: Determining the optimal filling of the surface with a linker with Universal Force Field and Reax Force Field

description: The DataSet contains the atomic slabs of diamond surfaces with  ATP molecules in water. The calculated data includes different sized surfaces from 90 Angstrom^2 to 691 Angstrom^2. Structures were relaxed using the Reax Force Field method with the Limited Memory Broyden–Fletcher–Goldfarb–Shanno algorithm. Structures were calculated with a convergence criterion for the atomic forces below 0.001eV/Angstrom, and the convergence criterion for the maximum difference between the internal stress and the target stress was set below 1 atm. Calculated results include the Total Energy of slabs needed for adsorption calculations.
DOI: 10.34808/09ae-kh19
title: Uniform expansion estimates in the quadratic map with the smallest critical neighborhood for which the expansion exponent λ0 is greater than 0.1

description: This dataset contains selected results of numerical computations described in the paper "Quantitative hyperbolicity estimates in one-dimensional dynamics" by S. Day, H. Kokubu, S. Luzzatto, K. Mischaikow, H. Oka, P. Pilarczyk, published in Nonlinearity, Vol. 21, No. 9 (2008), 1967-1987, doi: 10.1088/0951-7715/21/9/002.
Using an approach based on graph algorithms described in the paper, comprehensive computation was conducted to obtain a rigorous lower bound on the expansion exponent λ (Statement 1 in the paper), the constant C (Statement 1 in the paper), and the adjusted exponent λ0 (Statement 2 in the paper). The size of the partition into which the domain of the map was subdivided is denoted by K. The radius of the critical neighborhood is denoted by δ. The key parameter of the map is denoted by a. The parallelization framework introduced in the paper "Parallelization method for a continuous property" by P. Pilarczyk, as published in Foundations of Computational Mathematics, Vol. 10, No. 1 (2010), 93–114, doi: 10.1007/s10208-009-9050-8, was used in order to use several CPUs at a time. Note that the data records are not sorted.
In this specific computation, the quadratic map was analyzed with K=5000, a∈[1.7,2.0], and δ chosen to be as small as possible, assuming that still λ0&gt;0.1 can be obtained.
The data is provided in plain text format. Each line with comments begins with a semicolon, each line with a single data record begins with an asterisk. Each data record consists of the following items, separated with the space:
the asterisk that indicates the beginning of a data record
the identifier of the data record in the format level:number (e.g., 4:12)
the left endpoint of the parameter interval (minimal parameter value)
the right endpoint of the parameter interval (maximal parameter value)
the total number of intervals that cover both the critical neighborhood and the remainder of the domain of the map
the diameter δ of the critical neighborhood
the computed expansion exponent λ
the computed value of log C (0 if not computed)
the computed value of λ0 (0 if not computed)
the computation time (in seconds)
The actual software that was used to obtain the results and also some illustrations are available at http://www.pawelpilarczyk.com/unifexp/.
DOI: 10.34808/bn8s-fg15
title: District development concept – Lower Sopot (Dolny Sopot) district case study, study proposal no 6, May 2021

description: The data presents results of work within the studies of the concept of development of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 6, from May 2021. The goal of the research process was to present the development concept of the area located in Lower Sopot (Dolny Sopot) district in the context of the city of Sopot development. The aim of the study was to present the main concept for the development of the chosen area and taking in consideration development of the entire city. The dataset presents the development concept of the district in the form of the main concept plan for the development of the district, design project axonometry, sections, functional diagrams, idea explanation and model. The dataset presents the study and design work of students of the Faculty of Architecture, Gdańsk University of Technology (FA Gdańsk Tech) - 6th semester of the Bachelor Studies (undergraduate studies) at the FA Gdańsk Tech coordinated by Weronika Mazurkiewicz PhD. The preparatory process, studies and design was conducted from April 2021 till May 2021. The study and design results in the dataset are the effect of the course of urban planning IV at the Faculty of Architecture, Gdańsk University of Technology 2020/2021 academic year. The study and design results in dataset form the basis for the further research and development studies of the district.