cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gxkd3d3p73.1
title: Insight in the treatment  for pancreatic adenocarcinoma: discovery  of  the semisynthetic bile alcohol steroidal agonist BAR502 as a potent leukemia inhibitory factor receptor antagonist 

description: The leukemia inhibitory factor (LIF), is a cytokine belonging to IL-6 family, whose overexpression correlate with poor prognosis in on cancer patients. LIF signaling is mediate by its binding to the heterodimeric LIF receptor (LIFR) complex formed by the LIFR receptor and Gp13o, leading to JAK1/STAT3 activation. The JAK/STAT3 pathway is over-regulated in several type of tumors, including pancreatic ductal adenocarcinoma (PDAC). Bile acids are steroid molecules that modulates the expression/activity of   membrane and nuclear receptors, including the Farnesoid-X-Receptor (FXR) and G Protein Bile Acid Activated Receptor (GPBAR)1).  In this study we have  investigated whether  ligands to FXR and GPBAR1 modulate  LIF/LIFR pathway  in  ductal pancreatic acinar cells (PDAC) and  whether  these receptors are expressed in neoplastic tissues from a cohort  PDCA patients.
DOI: 10.17632/5d38twbc7s.1
title: Molecular phylogenetics of the fresh water sleepers Odontobutis (Gobiiformes: Odontobutidae) and its implications on biogeography of freshwater ichthyofauna of East Asia

description: Bait-120-60-R4-both4434.fas, sequences of all 120 bp baits

Goby4434.fas, sequences of the markers that were used for baits design
DOI: 10.17632/nnmg5v5rjt.1
title: Data regarding classical eyeblink conditioning in mouse treated with metabotropic glutamate receptor 1 antagonist JNJ16259685.

description: We present  data on whether  JNJ16259685, a selective antagonist of mGlu1 receptor, affects cerebellum-dependent motor learning in the wild-type mice (C57BL/6J strain) . Two-month-old wild-type (C57/BL6J) mice were performed in delay eyeblinik conditioning by administered PBS (control group; n = 11) or JNJ16259685 (30 mg/kg/day, i.p.; Treated group; n = 11) 30 min before the each training session.
Raw data from individual mice on conditioned response (CR) rate (Table 1), CR peak latency (Table 2), CR onset latency  (Table 3), and eyelid electromyography (EMG)  (Table 4) were presented in detail for each group.
DOI: 10.17632/nnmg5v5rjt.2
title: Data regarding classical eyeblink conditioning in mouse treated with metabotropic glutamate receptor 1 antagonist JNJ16259685.

description: We present  data on whether  JNJ16259685, a selective antagonist of mGlu1 receptor, affects cerebellum-dependent motor learning in the wild-type mice (C57BL/6J strain) . Two-month-old wild-type (C57/BL6J) mice were performed in delay eyeblinik conditioning by administered PBS (control group; n = 11) or JNJ16259685 (30 mg/kg/day, s.c.; Treated group; n = 11) 30 min before the each training session.
Raw data from individual mice on conditioned response (CR) rate (Table 1), CR peak latency (Table 2), CR onset latency  (Table 3), and eyelid electromyography (EMG)  (Table 4) were presented in detail for each group.
DOI: 10.17632/nnmg5v5rjt.3
title: Data regarding classical eyeblink conditioning in mouse treated with metabotropic glutamate receptor 1 antagonist JNJ16259685.

description: We present  data on whether  JNJ16259685, a selective antagonist of mGlu1 receptor, affects cerebellum-dependent motor learning in the wild-type mice (C57BL/6J strain) . Two-month-old wild-type (C57/BL6J) mice were performed in delay eyeblinik conditioning by administered PBS (control group; n = 11) or JNJ16259685 (10 mg/kg/day, s.c.; Treated group; n = 11) 30 min before the each training session.
Raw data from individual mice on conditioned response (CR) rate (Table 1), CR peak latency (Table 2), CR onset latency  (Table 3), and eyelid electromyography (EMG)  (Table 4) were presented in detail for each group.
DOI: 10.17632/mww9m8r3dk.1
title: Landing manoeuvres of bumblebees in steady sidewind

description: The landingTracks.mat contains 19,421 landing manoeuvres of bumblebees observed in six different steady sidewind conditions. This dataset supplements the text in the manuscript titled: "Bumblebees actively compensate for the adverse effects of sidewind during visually-guided landings".
DOI: 10.17632/mgdthphhy4.1
title: Latvian Used-car Market Announcements Monitoring in 2022

description: Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This data-set represent 5th year of market monitoring, 2022. First year monitoring (2018) data-set is available together with data article: Skribans, V. Used-car market dataset for Latvia 2018, (2019) Data in Brief, 22, pp. 859-862. doi: 10.1016/j.dib.2018.12.075. Methodology of data mining is available in research paper: SKRIBANS, V. and HEGERTY, S.W., 2019. Data mining application for used-car market analysis, IMCIC 2019 - 10th International Multi-Conference on Complexity, Informatics and Cybernetics, Proceedings 2019, pp. 35-40. Second year monitoring (2019) data-set is available there: Skribans, Valerijs (2019), “Latvian Used-car Market Announcements Monitoring in 2019”, Mendeley Data, V1, doi: 10.17632/kyf948x63n.1 Third year year monitoring (2020) data-set is available there: Skribans, Valerijs; Gulbis, Aivars; Krastins, Aivars (2020), “Latvian Used-car Market Announcements Monitoring in 2020”, Mendeley Data, V1, doi: 10.17632/hg38nn6c45.1 . First quarter of the fourth year of market monitoring, 2021. set is available there: Skribans, Valerijs; Gulbis, Aivars; Cevers, Aldis; Rudzitis, Normunds; Krastins, Aivars (2021), “Latvian Used-car Market Announcements Monitoring in 2021 Q1”, Mendeley Data, V1, doi: 10.17632/rh9zh9ncnk.1
DOI: 10.17632/jzj496vbf2.1
title: Monkeypox mimickers

description: Supplementary figure 1
Diseases presenting as outbreaks of blistering exanthems A) Monkeypox- pustular, targetoid, centrally crusted lesions at genital and peri-genital area B) Chickenpox- superficial ‘dewdrop on rose petal’ blisters C) Gianotti-Crosti syndrome- papulo-vesicles at knee D) Hand foot mouth disease- lesions over hands and feet E) Hand foot mouth disease- targetoid, centrally crusted and umbilicated lesions over buttocks F) Hand foot mouth disease- oral erosions.

Supplementary figure 2
Genital diseases which can be confused with monkeypox A) Solid papule of molluscum contagiosum at glans, which can be mistaken for a vesicle B) Umbilicated perianal papules of molluscum contagiosum in a child C) Circular and polycyclic erosions of genital herpes D) Excoriated papules of scabies at genitals, which can be mistaken for papulo-vesicles E) Multiple painless elevated and indurated primary syphilitic chancres F) Fixed drug eruption at shaft of penis presenting as painful dusky erythematous edematous plaque with a small erosion.
DOI: 10.17632/jzj496vbf2.2
title: Monkeypox mimickers

description: Supplementary figure 1
Diseases presenting as outbreaks of blistering exanthems A) Monkeypox- pustular, targetoid, centrally crusted lesions at genital and peri-genital area B) Chickenpox- superficial ‘dewdrop on rose petal’ blisters C) Gianotti-Crosti syndrome- papulo-vesicles at knee D) Hand foot mouth disease- lesions over hands and feet E) Hand foot mouth disease- targetoid, centrally crusted and umbilicated lesions over buttocks F) Hand foot mouth disease- oral erosions.

Supplementary figure 2
Genital diseases which can be confused with monkeypox A) Solid papule of molluscum contagiosum at glans, which can be mistaken for a vesicle B) Umbilicated perianal papules of molluscum contagiosum in a child C) Circular and polycyclic erosions of genital herpes D) Excoriated papules of scabies at genitals, which can be mistaken for papulo-vesicles E) Multiple painless elevated and indurated primary syphilitic chancres F) Fixed drug eruption at shaft of penis presenting as painful dusky erythematous edematous plaque with a small erosion.
DOI: 10.17632/846czv6kyy.1
title: VAP-A intrinsically disordered regions enable versatile tethering at membrane contact sites. Subra et al.

description: Unprocessed Western blots from Figure S2B and Figure 5A
DOI: 10.17632/5dgdc42x7p.1
title: Execution time of double-precision and high-precision GEMM implementations on Intel Core i5-7500 and NVIDIA Turing RTX 2080

description: This dataset contains the execution time for matrix-matrix multiplication kernels with general matrices (GEMM, BLAS Level 3) implemented using existing double-precision linear algebra software as well as multiple-precision libraries for CPU and GPU. The operation is  C = α * op(A) * op(B) + β * C, where α and β are scalars, A, B, C are matrices, op(A) is an M-by-K matrix, op(B) is a K-by-N matrix, C is an M-by-N matrix, and op(X) is one of op(X) = X or op(X) = X^T.  Each raw file provided contains the results of three test runs in milliseconds. The complete source code for the tests can be found at https://github.com/kisupov/mpres-blas.

Common experiment settings:
• Dense, random, 1000-by-1000 general matrices A, B and C;
• Random scalars α and β;
• Measurements are in milliseconds;
• Arithmetic precision from 106 to 424 bits.

Test cases considered:
• Non transposed: op(A) = A, op(B) = B;
• Transposed A: op(A) = A^T, op(B) = B;
• Transposed B: op(A) = A, op(B) = B^T;
• Transposed both A and B: op(A) = A^T, op(B) = B^T; 

Experimental environment:
• Intel Core i5 7500 processor;
• 32GB of DDR4 system memory;
• NVIDIA Turing RTX 2080 GPU (2944 CUDA Cores, Compute Capability 7.5, 8GB of GDDR6 memory);
• Ubuntu 20.04.5 LTS;
• NVIDIA Driver V455.32.00;
• CUDA Toolkit V11.1.

The following GEMM implementations are evaluated:
• OpenBLAS (OpenMP, 53 bits) – double-precision implementation for CPU using OpenBLAS (https://github.com/xianyi/OpenBLAS);
• Custom double on CPU (OpenMP, 53 bits) – custom double-precision parallel (OpenMP) implementation;
• MPFR (OpenMP) – multiple-precision parallel implementation using the GNU MPFR Library for CPU (https://www.mpfr.org/);
• cuBLAS (53 bits) – double-precision implementation for CUDA using the NVIDIA Basic Linear Algebra Subroutines library (https://docs.nvidia.com/cuda/cublas/index.html);
• Custom double on GPU (53 bits) – custom double-precision CUDA implementation;
• MPRES-BLAS – multiple-precision CUDA implementation using MPRES-BLAS library (https://github.com/kisupov/mpres-blas);
• CAMPARY – multiple-precision CUDA implementation using CAMPARY library (https://homepages.laas.fr/mmjoldes/campary/).
DOI: 10.25318/9810047001-eng
title: Place of work status by industry sectors, work activity during the reference year, age and gender: Census metropolitan areas, tracted census agglomerations and census tracts

description: Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for census metropolitan areas, tracted census agglomerations and census tracts.
DOI: 10.25318/9810047001-fra
title: Catégorie du lieu de travail selon les secteurs d'industries, le travail durant l'année de référence, l'âge et le genre : Régions métropolitaines de recensement, agglomérations de recensement subdivisées en secteurs de recensement et secteurs de recensement

description: Données sur la catégorie du lieu de travail selon les secteurs d'industries (code à 2 chiffres) du Système de classification des industries de l’Amérique du Nord (SCIAN) de 2017, le travail pendant l'année de référence, l'âge et le genre pour les régions métropolitaines de recensement, les agglomérations de recensement subdivisées en secteurs de recensement et les secteurs de recensement.
DOI: 10.6084/m9.figshare.21733232
title: Data_File_1_AR_MeasurementsAR (1).csv

description: Data File 1 - Measured data for antireflection coating design for reverse engineering challenge.
DOI: 10.6084/m9.figshare.21733232.v1
title: Data_File_1_AR_MeasurementsAR (1).csv

description: Data File 1 - Measured data for antireflection coating design for reverse engineering challenge.
DOI: 10.6084/m9.figshare.21733235
title: Data_File_2_AR5_Final.txt

description: Data File 2 - Original design for non-polarizing, short wavelength pass, edge filter.
DOI: 10.6084/m9.figshare.21733235.v1
title: Data_File_2_AR5_Final.txt

description: Data File 2 - Original design for non-polarizing, short wavelength pass, edge filter.
DOI: 10.6084/m9.figshare.21733238.v1
title: Data_File_3_NPSWP_Measurements.csv

description: Data File 3 - Measured data for non-polarized, short-wavelength pass edge-filter design.
DOI: 10.6084/m9.figshare.21733241.v1
title: Data_File_4_NPSWP_Final.txt

description: Data File 4 - Original design for the antireflection coating used for Problem A - blackbox challenge.
DOI: 10.6084/m9.figshare.21733238
title: Data_File_3_NPSWP_Measurements.csv

description: Data File 3 - Measured data for non-polarized, short-wavelength pass edge-filter design.
DOI: 10.6084/m9.figshare.21733241
title: Data_File_4_NPSWP_Final.txt

description: Data File 4 - Original design for the antireflection coating used for Problem A - blackbox challenge.
DOI: 10.17632/c5rknh37t5.1
title: Data for: Responses of phytoplankton communities to internal waves  in oligotrophic oceans

description: The following supplementary datasets consist of informations of physical, chemical, phytoplankton pigments, biological productivity, phytoplankton growth and microzooplankton grazing rates collected in the South China Sea basin in the summer of 2014.
DOI: 10.17632/7k88p4k54b.1
title: ERRFI1 CRISPR BEAS-2B indel amplicon-seq

description: FASTQ and indel analyses
DOI: 10.17632/7k88p4k54b.2
title: ERRFI1 CRISPR BEAS-2B indel amplicon-seq

description: FASTQ and indel analyses
DOI: 10.25318/9810047101-eng
title: Place of work status by occupation broad category, work activity during the reference year, age and gender: Canada, provinces and territories, census divisions and census subdivisions

description: Data on place of work status by occupation broad category (1-digit code) from the National Occupational Classification (NOC) 2021, work activity during the reference year, age and gender for Canada, provinces and territories, census divisions and census subdivisions.
DOI: 10.17632/gkpzg8mypc.1
title: Availability of Free-Space Optical Systems Depending on Atmospheric Conditions and System Parameters

description: In this paper the availability of Free-Space Optical (FSO)
systems is studied. In order to create mathematical model
and calculate systems availability, meteorological data from
different geographic regions is used to obtain statistical
model of the atmospheric visibility SM. Utilizing the
cumulative distribution functions (CDF) of SM and the
statistical distribution of the misalignments (Δρ) between
the laser beam axis and the center of the receiving antenna,
a method for calculating FSO availability is proposed.
Based on the derived analytical expressions, numerical
results are obtained and FSO availability is analyzed.
DOI: 10.17632/pj6y8wvjw6.1
title: Shortness of human resources for intensive care in Colombia

description: This database shows the number of hospital/ICU beds in Colombia by the department for 2018. Accordingly, we were able to discriminate the number of beds by ward and to design a map of the density of adult/pediatric ICU beds for publication.
DOI: 10.17632/wk2nf354kr.1
title: Prevalent and immunodominant CD8 T-cell epitopes are conserved in SARS-CoV-2 variants. Meyer et al

description: Supplementary materials accompanying the article "Prevalent and immunodominant CD8 T-cell epitopes are conserved in SARS-CoV-2 variants" by Meyer et al.
DOI: 10.17632/vzgmjmcc3t.1
title: bbc4-text-topic

description: Series of texts talking about 5 different topics
DOI: 10.5281/zenodo.7458704
title: JMLKelinci+: Detecting Semantic Bugs and Covering Branches with Valid Inputs using Coverage-Guided Fuzzing and Runtime Assertion Checking

description: Testing to detect semantic bugs is essential, especially for critical systems. Coverage-guided fuzzing and runtime assertion checking (RAC) are two well-known approaches for detecting semantic bugs. Coverage-guided fuzzing aims to generate inputs tests with high code coverage. However, while coverage-guided fuzzers are equipped with sanitizers that can detect a fixed set of semantic bugs, they can otherwise only detect bugs that lead to a crash. Thus, the first problem we address is how to help fuzzers detect previously unknown semantic bugs that do not lead to a crash. Moreover, a coverage-guided fuzzer may not necessarily cover all branches with valid inputs, although invalid inputs are useless for detecting semantic bugs. So, the second problem is how to guide a fuzzer to cover all branches in a program using only valid inputs. On the other hand, RAC monitors the expected behavior of a program dynamically and can only detect a semantic bug when a valid input test shows that the program does not satisfy its specification. <br> Thus, the third problem is how to provide high-quality input tests for a RAC that can trigger potential bugs.<br> The combination of a coverage-guided fuzzer and RAC solves these problems and can cover branches with valid inputs and detect semantic bugs effectively. Our study uses RAC to guarantee that only valid inputs reach the program under test using the program's specified preconditions and it also uses RAC to detect semantic bugs using specified postconditions. A prototype tool was developed for this study, named JMLKelinci+. Our results show that combining a coverage-guided fuzzer with RAC will lead to executing the program under test only with valid inputs and that this technique can effectively detect semantic bugs. <br> Also, this idea improves the feedback given to a coverage-guided fuzzer, enabling it to cover all branches faster in programs with non-trivial preconditions.
DOI: 10.5281/zenodo.7458703
title: JMLKelinci+: Detecting Semantic Bugs and Covering Branches with Valid Inputs using Coverage-Guided Fuzzing and Runtime Assertion Checking

description: Testing to detect semantic bugs is essential, especially for critical systems. Coverage-guided fuzzing and runtime assertion checking (RAC) are two well-known approaches for detecting semantic bugs. Coverage-guided fuzzing aims to generate inputs tests with high code coverage. However, while coverage-guided fuzzers are equipped with sanitizers that can detect a fixed set of semantic bugs, they can otherwise only detect bugs that lead to a crash. Thus, the first problem we address is how to help fuzzers detect previously unknown semantic bugs that do not lead to a crash. Moreover, a coverage-guided fuzzer may not necessarily cover all branches with valid inputs, although invalid inputs are useless for detecting semantic bugs. So, the second problem is how to guide a fuzzer to cover all branches in a program using only valid inputs. On the other hand, RAC monitors the expected behavior of a program dynamically and can only detect a semantic bug when a valid input test shows that the program does not satisfy its specification. <br> Thus, the third problem is how to provide high-quality input tests for a RAC that can trigger potential bugs.<br> The combination of a coverage-guided fuzzer and RAC solves these problems and can cover branches with valid inputs and detect semantic bugs effectively. Our study uses RAC to guarantee that only valid inputs reach the program under test using the program's specified preconditions and it also uses RAC to detect semantic bugs using specified postconditions. A prototype tool was developed for this study, named JMLKelinci+. Our results show that combining a coverage-guided fuzzer with RAC will lead to executing the program under test only with valid inputs and that this technique can effectively detect semantic bugs. <br> Also, this idea improves the feedback given to a coverage-guided fuzzer, enabling it to cover all branches faster in programs with non-trivial preconditions.
DOI: 10.25318/9810047101-fra
title: Catégorie du lieu de travail selon la grande catégorie des professions, le travail durant l'année de référence, l'âge et le genre : Canada, provinces et territoires, divisions de recensement et subdivisions de recensement

description: Données sur la catégorie du lieu de travail selon la grande catégorie des professions (code à 1 chiffre) de la Classification nationale des professions (CNP) de 2021, le travail pendant l'année de référence, l'âge et le genre pour le Canada, les provinces et territoires, les divisions de recensement et les subdivisions de recensement.
DOI: 10.17632/pdfz57v73h.1
title: Transgenerational epigenetic inheritance of Alzheimer’s disease mediated by acetyltransferase MYS-2/MOF

description: RNA-SEQ in parental generation and offsprings in elegans
CHiP-seq in SH-SY5Y by hMOF
DOI: 10.17632/t27pdtbdnc.1
title: A review of the occurrence, distribution and impact of bitumen seeps on soil and groundwater in parts of southwestern, Nigeria 2022

description: List of articles consulted through Google Scholar and Journal of Mining and Geology (A publication of the Nigerian Mining and Geoscience Society). This list consists of articles accessed in carrying out a review on the occurrence, distribution and impact of bitumen seeps on soil and groundwater in parts of southwestern, Nigeria.
DOI: 10.17632/jc7y9w8djc.1
title: OHLCV of BTC

description: The dataset contains open, close, low, high prices and volume of Bitcoin.
I use API of Coinbase to gather this data.
DOI: 10.17632/sjvbwh5ckg.1
title: Neural Networks in Friction Factor Analysis of Smooth Pipe Bends

description: PROGRAM SUMMARY
No. of lines in distributed program, including test data, etc.: 481
No. of bytes in distributed program, including test data, etc.: 14540.8
Distribution format: .py, .csv
Programming language: Python
Computer: Any workstation or laptop computer running TensorFlow, Google Colab, Anaconda, Jupyter, pandas, NumPy, Microsoft Azure and Alteryx.
Operating system: Windows and Mac OS, Linux.

Nature of problem: Navier-Stokes equations are solved numerically in ANSYS Fluent using Reynolds stress model for turbulence. The simulated values of friction factor are validated with theoretical and experimental data obtained from literature. Artificial neural networks are then used for a prediction-based augmentation of friction factor. The capabilities of the neural networks is discussed, in regard to computational cost and domain limitations.

Solution method: The simulation data is obtained through Reynolds stress modelling of fluid flow through pipe. This data is augmented using the artificial neural network model that predicts within and without data domain.

Restrictions: The code used in this research is limited to smooth pipe bends, in which friction factor is analysed using a steady state incompressible fluid flow.

Runtime: The artificial neural network produces results within a span of 20 seconds for three-dimensional geometry, using the allocated free computational resources of Google Colaboratory cloud-based computing system.