cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/pr6z-dg12
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 50 m, q = 90 deg, j = 45 deg, a =4 m, e = 8, 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 = 50 m, q = 90 deg, j = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_50_90_45_4_8_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_50_90_45_4_8_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_50_90_45_4_8_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_50_90_45_4_8_100          x coordinate [m]
Per_50%Mx_y_50_70_50_90_45_4_8_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/r17e-jb65
title: The results of measuring concentrations of heavy metals, petroleum hydrocarbons and humic acids in watercourses around the municipality of Gdańsk in 2005

description: The dataset contains the results of a measurement of concentrations of heavy metals (cadmium, lead and mercury), petroleum hydrocarbons and humic acids in watercourses around the municipality of Gdańsk in 2005. The data was collected from January to December, once a month at 23 measuring stations located at 15 watercourses.
DOI: 10.34808/xm0j-5202
title: XRD for MoS2-Carbon Based Materials

description: The presented data showcases the results of XRD analysis conducted on molybdenum sulfide modified with carbon. The MoS2-carbon base materials were prepared via a facile hydrothermal method. Structural characterization confirmed the successful incorporation of carbon into the MoS2 support. XRD was recorded using an X-ray diffractometer (Philips X”Pert with detector X’Celerator Scientific).
DOI: 10.34808/bdkd-hm68
title: Values and problems analysis – Lower Sopot (Dolny Sopot) district case study, study proposal no 6, March 2021

description: The data presents results of work within the studies of the development possibilities of the district in the context of the city, Lower Sopot (Dolny Sopot) district, study proposal no 6, from March 2021. The goal of the research process was to present the values and problems analysis of the area located in Lower Sopot (Dolny Sopot) district in the context of the city of Sopot. The aim of the study was to understand the current condition and the potential for redevelopment of the chosen area taking in consideration development of the entire city. The dataset presents values and problems analysis in the form of cultural, environmental and landscape values analysis, neighborhood problem analysis as well as analysis of tourism on the site (in particular analysis of changes in public space caused by the presence and needs of a large number of tourists). The dataset presents the study 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 and studies were conducted during March 2021. The study 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 results in dataset form the basis for the design proposal developed during the course as well as further research and development studies of the district.
DOI: 10.34808/k3y3-7v54
title: Morse decompositions 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 Morse decompositions found for all the parameter boxes. A collection of combinatorial Morse sets, that is, isolating neighborhoods of the actual Morse sets in each Morse decomposition, is encoded in terms of a PNG image. In this image, a single pixel corresponds to a square in the phase space. All the images are compressed together in the zipped archive file. The name of each file is in the format "pn_m.png", where n,m are the integer coordinates of the parameter box, both in the range [0,49]. Each image is cropped in order to avoid the vast white area around the sets. Each combinatorial Morse set comprises of a collection of pixels drawn in a specific color. The colors used for the consecutive sets are listed at the bottom of the image as squares: black, blue, red, green, etc. The order is the same as in the corresponding Conley-Morse graphs available in a separate dataset. Note that the first set (black) is often a very small neighborhood of the origin that can be spotted as a single pixel at the bottom left corner of the image.
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/zxtz-fq67
title: Uniform expansion estimates in the quadratic map as a function of the parameter, with a small critical neighborhood

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, δ=0.01, and a∈[1.7,2.0]. This dataset was a basis for Figure 8 in the paper.
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/vrnf-3a57
title: Tagged images with bees 2

description: 


Images taken from bee hive with tagged bees.
The images are random frames from movies recorded in may 2017 and 2018. All images are taken from full HD video stream.  The images names are in format: "mov|mp4/Video_name/Video_name frame_no.jpg", where mov or mp4 is the movie type from original set (see the references), video_name is the video name of the given type and frame_no is number of random frame form the given video.
The tagging of the images was done manually using objectmaker.exe tool (supplied with the part 1 of the data, see references). The tags are stored in info.txt file in each directory and has the following format: "image_name number_of_tags x_coordinate_of_top_lef_corner y_coordinate_of_top_lef_corner x_coordinate_of_bottom_right_corner y_coordinate_of_bottom_right_corner". The coordinate set is provided number_of_tags times.
DOI: 10.34808/w1c5-hr31
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 200 m, q = 90 deg, j = 45 deg, a =4 m, e = 8, 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 = 200 m, q = 90 deg, j = 45 deg, a =4 m, e = 8, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_200_90_45_4_8_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_200_90_45_4_8_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_200_90_45_4_8_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_200_90_45_4_8_100          x coordinate [m]
Per_50%Mx_y_50_70_200_90_45_4_8_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/xd0h-3876
title: Continuation classes for a non-linear Leslie population model with 3 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]✕[0.5,0.9] was sampled at the resolution of 80✕80✕40. 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 in the ranges: [0,79], [0,79], and [0,39], respectively. Note that classes of cardinality 1 are not included, as they can be easily determined by verifying which boxes from {0,…,79}✕{0,…,79}✕{0,…,39} 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: 10.5281/zenodo.18758239
title: Rankings of the output of distributional semantic models of Ancient Greek

description: This dataset contains an evaluation of the output of distributional semantic models, as described in:





Keersmaekers, Alek & Dirk Speelman. 2023. Applying Distributional Semantic Models to a Historical Corpus of a Highly Inflected Language: the Case of Ancient Greek. Glottometrics 55. 17–43.



The 10 nearest neighbors of 100 Ancient Greek lemmas, as returned by 5 distributional semantic models, were assigned a semantic category depending on the relation of the target word and its neighbor. The semantic categories roughly correspond to common categories in the scientific literature on the evaluation of word embeddings:



'synonym': synonymous

'related': similar (we were not aware of the similar-related distinction that is common in the literature when this paper was written)

'distantly related': distantly similar

'same domain': related

'unrelated': unrelated


See the paper cited above for more details. The data used in the paper can be found in column R2: these data were annotated by Toon Van Hal. Additionally, column R1 was annotated by Alek Keersmaekers.
DOI: 10.5281/zenodo.18758240
title: Rankings of the output of distributional semantic models of Ancient Greek

description: This dataset contains an evaluation of the output of distributional semantic models, as described in:





Keersmaekers, Alek & Dirk Speelman. 2023. Applying Distributional Semantic Models to a Historical Corpus of a Highly Inflected Language: the Case of Ancient Greek. Glottometrics 55. 17–43.



The 10 nearest neighbors of 100 Ancient Greek lemmas, as returned by 5 distributional semantic models, were assigned a semantic category depending on the relation of the target word and its neighbor. The semantic categories roughly correspond to common categories in the scientific literature on the evaluation of word embeddings:



'synonym': synonymous

'related': similar (we were not aware of the similar-related distinction that is common in the literature when this paper was written)

'distantly related': distantly similar

'same domain': related

'unrelated': unrelated


See the paper cited above for more details. The data used in the paper can be found in column R2: these data were annotated by Toon Van Hal. Additionally, column R1 was annotated by Alek Keersmaekers.
DOI: 10.34808/0frv-da31
title: Description of symmetrical prolate ellipsoid magnetic signature parameters-Be = 50 mT, I = 70 deg, z = 20 m, q = 90 deg, j = 135 deg, a =4 m, e = 1, 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 = 90 deg, j = 135 deg, a =4 m, e = 1, mr = 100
The names files are:
Per_50%Mx_Bx_50_70_20_90_135_4_1_100      Bx – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_By_50_70_20_90_135_4_1_100       By – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_Bz_50_70_20_90_135_4_1_100       Bz – component of the ellipsoid magnetic flux density [nT]
Per_50%Mx_x_50_70_20_90_135_4_1_100          x coordinate [m]
Per_50%Mx_y_50_70_20_90_135_4_1_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: 10.34808/4h25-p785
title: Determination of the effective concentration of oxyteracycline  solutions on the  inhibition of bioluminescence of Vibrio fischeri (Microtox)

description: In this study an attempt was made to determine the effective concentration for oxytetracycline solutions on the  inhibition of bioluminescence of Vibrio fischeri (Microtox). 
To determine the EC50 values for four selected oxytetracycline solutions, the range screening tests were performed according to stardard protocols. Liophilized reagent was hydrated with RS and maintained at 5.5 ± 1 °C. 100 mm3 of cell suspension prepared in diluent were added into the cuvettes in every row. The EC50 for water-soluble pharmaceuticals (namely, diclofenac (sodium salt), chloramphenicol, oxytetracycline, and fluoxetine) was determined with the standard Acute Toxicity Test Basic 81.9 % protocol using the Model 500 Analyzer Microtox® and serial dilutions. To determine EC50 of insoluble compounds, the modification of the assay protocol was necessary, as the samples were treated as solid ones—the appropriate volume of sample was added directly to the vials of bacterial suspension, OAS, and diluent. Subsequently, a pre-made standard dilution of the samples was added into vials with bacterial suspension. Wieczerzak M., Kudłak B. an Namieśnik J., (2016)  Study of the effect of residues of pharmaceuticals on the environment on the example of bioassay Microtox®. Monatshefte für Chemie - Chemical Monthly Volume 147, pages 1455–1460  https://doi.org/10.1007/s00706-016-1782-y
After the screening test, the concentration range was narrowed down and three replicates were performed, as shown in the attached data set. The ED50 described in the publication was determined. 
Study of the effect of residues of pharmaceuticals on the environment on the example of bioassay Microtox®. Monatshefte für Chemie - Chemical Monthly Volume 147, pages 1455–1460  https://doi.org/10.1007/s00706-016-1782-y


Studies were conducted between 2015.These results are part of the manuscript published in Monatshefte für Chemie - Chemical Monthly
https://doi.org/10.1007/s00706-016-1782-y
DOI: 10.34808/gkpf-zs21
title: VAT rates in selected countries

description: This dataset contains a list of selected countries with information on the VAT (or similar) tax rate applicable in them. Datarefers to the status as of 30.06.2024.