cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6hvwtnfk8v.3
title: HD-SARSE

description: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE). Esta herramienta digital permite realizar simulaciones y análisis de la radiación solar sobre geometrías creadas o importadas en el canvas del software Rhinoceros-3D, por medio del plug-in Grasshopper. Para más información sobre este archivo consultar enlaces relacionados.
DOI: 10.17632/6hvwtnfk8v.2
title: HD-SARSE

description: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE). Esta herramienta digital permite realizar simulaciones y análisis de la radiación solar sobre geometrías creadas o importadas en el canvas del software Rhinoceros-3D, por medio del plug-in Grasshopper. Para más información sobre este archivo consultar enlaces relacionados.
DOI: 10.17632/x3vhp8t6hg.1
title: Vibration and Motor Current Dataset of Rolling Element Bearing Under Varying Speed Conditions for Fault Diagnosis: Part 2

description: Rolling element bearing utilized for the wind turbine, electric vehicles are often operated under varying speed conditions other than constant speed due to external wind or load variations. It is very difficult to diagnose a rolling element bearing under varying speed conditions because changing the rotational speed means that the fault-related features are variable. To solve this problem, a lot of data are needed, however, rolling element bearing under time-varying speed conditions is difficult to secure a large amount of data due to the complexity of experimental setups. Therefore, many datasets for diagnosing rolling element bearing under constant speed conditions have been distributed, but there is no dataset under variable speed conditions. This article discloses vibration and motor current data for bearing faults under varying speed conditions from 680 RPM to 2460 RPM. Dataset are acquired using four ceramic shear ICP-based accelerometers, three current transformers (CT), and one laser-based tachometer with SIEMENS and National Instruments (NI) data acquisition (DAQ) board. The bearing conditions include healthy bearing, bearings with inner race faults, and bearings with outer race faults. For each faulty bearing condition, the three-phase induction motor is operated under randomly varying speed conditions. The speed information can extract from not only motor current data but also the tachometer. This data can be used for research that can diagnose under varying speed conditions where time-frequency analysis cannot be performed because of the frequency changes.




---- Description of vibration file format ----
Vibration data file contains five columns namely ‘Time Stamp’, ‘x_direction_housing_A’, ‘y_direction_housing_A’, ‘x_direction_housing_B’, and ‘y_direction_housing_B’. The unit of the vibration is ‘gravitational constant (g)’. 

vibration_aaaa_bbbb.csv : This file is "bbbb"-th vibration data includes rotating speed data of the condition of "aaaa".



---- Description of motor current file format ----
Motor current data file contains five columns namely ‘Time Stamp’, ‘R_phase’, ‘S_phase’, and ‘T_phase’. The unit of the motor current is ‘Ampare (A)’.

current_aaaa_bbbb.csv : This file is "bbbb"-th motor current data includes rotating speed data of the condition of "aaaa".



---- Description of rotating speed file format ----
Rotating speed data file contains two columns namely ‘Time Stamp’, and ‘speed’. The unit of the acoustic is revolutions per minute (RPM)’.

rpm_aaaa_bbbb.csv : This file is "bbbb"-th speed data includes rotating speed data of the condition of "aaaa".


Datasets are divided into three parts because of storage limitations (part1, part2, and part3). For more details, please refer to the "Data in Brief" journal (will be submitted until Aug. 31, 2022).
DOI: 10.17632/6hvwtnfk8v.1
title: HD-SARSE

description: Herramienta Digital para la Simulación y Análisis de la Radiación Solar en Edificios (HD-SARSE). Esta herramienta digital permite realizar simulaciones y análisis de la radiación solar sobre geometrías creadas o importadas en el canvas del software Rhinoceros-3D, por medio de su plug-in, Grasshopper. Para más información sobre este archivo consultar: https://avermaexa.unsa.edu.ar/index.php/averma/article/view/165/92
DOI: 10.17632/tbg5ghw7wk.1
title: covid-19 and democracy

description: This dataset is for the study on COVID-19 death that may vary across countries of different political regimes.
DOI: 10.17632/wy89vp3nrw.1
title: FDI_exports_tourism

description: This dataset includes FDI restrictions index and tourism exports
DOI: 10.17632/vcmcb3yd2s.1
title: Transactional T10I4D100K

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 99935 
Number of items : 870 
Minimum Transaction Size : 1 
Average Transaction Size : 10.101836193525791 
Maximum Transaction Size : 29 
Standard Deviation Transaction Size : 3.667097909135199 
Variance in Transaction Sizes : 13.447741640067324 
Sparsity : 0.9883886940304302

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/5grn32xvvj.1
title: Interview with ChatGPT

description: The is a transcript of the interview and/or subject test on exercise addiction with ChatGPT performed on January 22, 2023.
DOI: 10.17632/pxhtffhjsd.1
title: LINF_350052100

description: DnaJ domain-containing protein | JDP34 | J34
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zx828zcg8w.1
title: Transactional T20I6D100K

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 99910
Number of items : 893
Minimum Transaction Size : 1
Average Transaction Size : 19.898949054148733
Maximum Transaction Size : 47
Standard Deviation Transaction Size : 5.6740261730289765
Variance in Transaction Sizes : 32.194895251185436
Sparsity : 0.9777167423805725
Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/zvsdkyhn2m.1
title: Raw data on the deformation of granitic mylonite in a Paterson gas-medium apparatus

description: This data set is about the raw data on deformation of granitic mylonite at a confining pressure of 300 MPa and temperatures of 800-1000 °C in a Paterson gas-medium apparatus.
DOI: 10.17632/zvsdkyhn2m.2
title: Raw data on the deformation of granitic mylonite in a Paterson gas-medium apparatus

description: This data set is about the raw data on deformation of 15 granitic mylonite samples at a confining pressure of 300 MPa and temperatures of 800-1000 °C in a Paterson gas-medium apparatus. This data set can be used to inverstigate the effect of foliation and lineation on the deformation of granitic mylonite under high temperature. Results show that the maximum strength is not perpendicular to the foliation as previously expected or reported but parallel to the lineation direction.
DOI: 10.17632/yv5yx4js53.1
title: Transactional Chess

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 3192
Number of items : 75
Minimum Transaction Size : 37
Average Transaction Size : 37.0
Maximum Transaction Size : 37
Standard Deviation Transaction Size : 0.0
Variance in Transaction Sizes : 0
Sparsity : 0.5066666666666667

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/3cv9mvckkh.1
title: Acoustic emission

description: Audio files of acoustic emissions of data, which are presented in "Detection of acoustic emission from nanofiber nonwovens under tensile strain – an ultrasonic test setup for critical medical device components" 
3 audio files of PLLA*S, PLLA*M, and PLLA*L,
and 3 audio files of incomplete stretched samples of PLLA*M
DOI: 10.17632/yrjwczzdg7.1
title: Transactional BMS-WebView-2

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 77411
Number of items : 3340
Minimum Transaction Size : 1
Average Transaction Size : 4.623451447468706
Maximum Transaction Size : 161
Standard Deviation Transaction Size : 6.073661955533351
Variance in Transaction Sizes : 36.88984609536578
Sparsity : 0.9986157330995603

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/xc7s7d6x2k.2
title: Data for multi-objective process control

description: Raw data and algorithms: 'Maix.xlsx' corresponds to the raw data (coded) of the study case. 'Separate_Ys_V4.m' is the complete Matlab Script for the enhanced PLS algorithm. 'Vector_Y.m' is the Matlab script that runs the traditional PLS algorithm.
DOI: 10.15468/rvaezv
title: An Initial Checklist of Butterflies of the A Rocha Dakatcha Nature Reserve, Kenya, 2023

description: This dataset presents 129 records of butterflies found in the A Rocha Dakatcha Nature Reserve (ARDNR) collated between May 2020 and October 2022.
DOI: 10.17632/dgrb5z38kb.1
title: Supplementary Materials - Serum 1H NMR-based metabolomics of sole lesion development in Holstein cows

description: Supplementary Methods. Details regarding NMR spectra acquisition and processing, and approach to statistical analysis.

Supplementary Table 1. Details of the spectral bins selected as representative of each annotated metabolite and used in statistical analysis, including the Bovine Metabolome database identification number (BMDB ID).

Supplementary Table 2. Details of the unlabeled spectral bins (not annotated to a metabolite) used in the statistical analysis.

Supplementary Table 3. Results of univariable analysis with Wilcoxon signed-rank tests. Data were analyzed in 17 prespecified subsets split by time point, parity, and outcome definition; the control group in all cases were animals without sole lesions, outcomes were either cases of sole new hemorrhage (New SH), cases of new sole ulcers (New SU), those two groups combined (New SH/SU) or all cases of sole ulcers (All SU).

Supplementary Table 4. Variable selection stability results including the mean log (base 2) fold-change (Log2FC) and the baseline stability thresholds (T99 and T100, equivalent to an expected 1% and 0% false positive rate, respectively). Data were analyzed in 17 prespecified subsets split by time point, parity, and outcome definition; the control group in all cases were animals without sole lesions, outcomes were either cases of sole new hemorrhage (New SH), cases of new sole ulcers (New SU), those two groups combined (New SH/SU) or all cases of sole ulcers (All SU).
DOI: 10.17632/g566by5jcg.1
title: Transactional PUMSB

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 49030
Number of items : 2113
Minimum Transaction Size : 74
Average Transaction Size : 74.0
Maximum Transaction Size : 74
Standard Deviation Transaction Size : 0.0
Variance in Transaction Sizes : 0
Sparsity : 0.9649787032654993

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/xc7s7d6x2k.1
title: Multi-objective process control

description: Raw data and algorithms: 'Maix.xlsx' corresponds to the raw data (coded) of the study case. 'Separate_Ys_V4.m' is the complete Matlab Script for the enhanced PLS algorithm. 'Vector_Y.m' is the Matlab script that runs the traditional PLS algorithm.
DOI: 10.17632/739mnc6mch.1
title: Transactional Connect

description: The statistical details of this dataset were provided below:

Database size (total no of transactions) : 67555
Number of items : 129
Minimum Transaction Size : 43
Average Transaction Size : 43.0
Maximum Transaction Size : 43
Standard Deviation Transaction Size : 0.0
Variance in Transaction Sizes : 0
Sparsity : 0.6666666666666666

Please cite the following reference:

Rage Uday Kiran, Masaru Kitsuregawa: Efficient discovery of correlated patterns using multiple minimum all-confidence thresholds. J. Intell. Inf. Syst. 45(3): 357-377 (2015)

URL: https://link.springer.com/article/10.1007/s10844-014-0314-7

Disclaimer: This dataset was downloaded from fimi repository - http://fimi.uantwerpen.be/data/
DOI: 10.17632/y6t5yxdsdd.1
title: Data CARENDART IAB-HE 2023

description: This dataset describes the clinical and histopathological characteristics of a patient cohort with severe carotid stenosis, who underwent endarterectomy (n=119).
DOI: 10.17632/xj2v49zt26.1
title: Manually Annotated High Resolution Satellite Image Dataset of Mumbai for Semantic Segmentation

description: The dataset was created from high-resolution, true-color satellite imagery of Pleiades-1A acquired on March 15, 2017. Pleiades is an Airbus product that provides imagery with a 0.5m resolution at different spectral combinations. A total of 110 patches of size 600×600 pixels were selected by visually eyeballing random locations in the city that contain a wide variety of urban characteristics such as vegetation, slums, built-up, roads, etc. The patches were manually annotated with polygons using Intel’s Computer Vision Annotation Tool (CVAT). Six unique classes were used to categorize the images, namely (1) vegetation; (2) built-up; (3) informal settlements; (4) impervious surfaces (roads/highways, streets, parking lots, road-like areas around buildings, etc.); (5) barren; and (6) water. In addition to these six major classes, the dataset also contains another class termed ‘Unlabelled’, which makes up only 0.08% of the dataset. It primarily consists of airplanes and a few other obscure spots and structures. Each 600×600 pixels patch was further divided into 120×120 pixels sized tiles with 50% horizontal and vertical overlapping, making a total of 8910 tiles. This helped generate more training data that would result in better classification. Out of the total 8910 annotated patches, 80% of patches (total: 7128) are present in the training set, 10% as the validation set (total: 891), and the remaining 10% for testing (total: 891).
DOI: 10.17632/vg356yb9v4.1
title: Data for heat charging / discharging experiments of a high-temperature coaxial borehole heat exchanger in saturated sand

description: This data file contains experimental measurement data of a set of four heat charging / discharging experiments performed between December 2020 and June 2021 at the Geotechnikum of the Institute of Geosciences at Kiel University (Germany) in order to examine the heat transfer behaviour of a high-temperature coaxial borehole heat exchanger (BHE) analogue in a permable saturated porous sand medium at the laboratory scale.
DOI: 10.17632/2x76p9k3br.1
title: Car safety systems and speeding violations

description: This data set supports the research paper, "Are Car Safety Systems Associated with More Speeding Violations? Evidence from Police Records in Israel", published in 2023. This paper uses complete national data for the installation of three leading safety systems and speeding tickets issued over the course of an entire year, to pinpoint the impact of these safety systems at a national level. 

Authors: Shani R. Vertlib, Stav Rosenzweig, Ofir D. Rubin, and Aviv Steren.
DOI: 10.18419/darus-1712
title: Replication Data for: A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media

description: This is the replication data for the publication "A Finite-Volume Moving-Mesh Method for Two-phase Flow in Fracturing Porous Media". This dataset contains the source code of the implementation and the raw data of the published results.
DOI: 10.18419/darus-1712/1
title: Case2.zip

description: :unav
DOI: 10.18419/darus-1712/2
title: Case3.zip

description: :unav
DOI: 10.18419/darus-1712/3
title: Code.zip

description: :unav
DOI: 10.17632/gj69dy4pcp.1
title: Experimental data set for: A crack growth rate model with load history effects for mode I fatigue-driven delamination under multi-level block loading

description: This data repository includes the experimental data from multi-level block loading tests presented in the paper: "A crack growth rate model with load history effects for mode I fatigue-driven delamination under multi-level block loading" as published in International Journal of Fatigue by the same authors. Fatigue experiments are conducted on glass/epoxy double cantilever beam (DCB) specimens subjected to pure bending moments in mode I crack opening.  The specimens are subjected to variable amplitude (VA) block loading, i.e. a block loading spectrum that consists of multiple constant amplitude (CA) load blocks with different amplitude and mean values. The fatigue experiments are conducted with real-time control of the applied energy release rate (ERR). Two repetitions of the multi-level block loading experiment is provided here. 

The data repository includes .txt files with the following data from the multi-level block loading tests: 
* The number of load cycles, N.
* The maximum applied energy release rate, Gmax, normalised with respect to the material's critical energy release rate, Gc, Gmax/Gc.
* Load block identifier.
* The average crack length across the specimen width, a [mm].
* The crack growth rate, da/dN [mm/cyc].
* The crack growth rate as measured in the experiment, da/dN_VA, normalised with respect to the crack growth rate measured under constant amplitude loading, da/dN_CA.

Note the crack growth rate, da/dN, is computed for every data point in the (N,a)-data set by fitting a linear function to all data points within a moving fitting window that has been centered around the data point of interest. For multi-level block loading spectra, the crack growth rate is computed separately for every load block. The crack growth rate data provided here are computed with a fitting window size of Delta_N=2000 load cycles and Delta_a=2 mm. 

The crack length is measured using an automated digital-image based technique for tracking of crack fronts in translucent materials. For this purpose, the top surface of the DCB specimen is camera recorded during the fatigue tests. Images are acquired at a predefined cycle increment, which controls the temporal resolution of the crack length measurements. The process is fully automated and continuous without pausing/interrupting the cyclic test. 

Find more information on the test procedure and experimental data in the article "A crack growth rate model with load history effects for mode I fatigue-driven delamination under multi-level block loading"
DOI: 10.18419/darus-1712/4
title: Case1.zip

description: :unav
DOI: 10.17632/9pt4v7hc93.1
title: A molecular device for the redox quality control of GroEL/ES substrates 

description: Hsp60 chaperonins and their Hsp10 cofactors assist protein folding in all living cells, constituting the paradigmatic example of molecular chaperones. Despite extensive investigations of their structure and mechanism, crucial questions regarding how these chaperonins promote folding remain unsolved. Here, we report that the bacterial Hsp60 chaperonin GroEL forms a stable, functionally relevant complex with the chaperedoxin CnoX, a protein combining a chaperone and a redox function. Binding of GroES (Hsp10 cofactor) to GroEL induces CnoX release. Cryo-electron microscopy provided crucial structural information on the GroEL-CnoX complex, showing that CnoX binds GroEL outside the substrate-binding site via a highly conserved C-terminal alpha-helix. Furthermore, we identified complexes in which CnoX, bound to GroEL, forms mixed disulfides with GroEL substrates, indicating that CnoX likely functions as a redox quality-control plugin for GroEL. Proteins sharing structural features with CnoX exist in eukaryotes, suggesting that Hsp60 molecular plugins have been conserved through evolution.
DOI: 10.18419/darus-1712/5
title: Case4.zip

description: :unav
DOI: 10.18419/darus-1712/6
title: lowdim_1.tab

description: Plot-over-line data for reduced model solution from (0,0) to lower tip.
DOI: 10.18419/darus-1712/7
title: plot-100.png

description: Plot-over-line from (0,0) to (1,1).
DOI: 10.18419/darus-1712/8
title: frame_100.png

description: Saturation distribution at t=1.
DOI: 10.18419/darus-1712/9
title: lowdim_3.tab

description: Plot-over-line data for reduced model from upper tip to (1,1).
DOI: 10.18419/darus-1712/10
title: fulldim_3.tab

description: Plot-over-line data for full dimensional solution from upper tip to (1,1).
DOI: 10.18419/darus-1712/11
title: fulldim_2.tab

description: Plot-over-line data for averaged quantities from full dimensional solution from lower top to upper tip.
DOI: 10.18419/darus-1712/12
title: lowdim_2.tab

description: Plot-over-line data for interface quantities from the reduced model solution from lower tip to upper tip.
DOI: 10.18419/darus-1712/13
title: fulldim_1.tab

description: Plot-over-line data for full dimensional solution from (0,0) to lower tip.
DOI: 10.18419/darus-1712/14
title: fulldim_1.tab

description: Plot-over-line data for full dimensional solution from (0,0) to lower tip.
DOI: 10.18419/darus-1712/15
title: frame_100.png

description: Saturation distribution at t=1.
DOI: 10.18419/darus-1712/16
title: plot-100.png

description: Plot-over-line from (0,0) to (1,1).
DOI: 10.18419/darus-1712/17
title: lowdim_1.tab

description: Plot-over-line data for reduced model solution from (0,0) to lower tip.
DOI: 10.18419/darus-1712/18
title: fulldim_2.tab

description: Plot-over-line data for averaged quantities from full dimensional solution from lower top to upper tip.
DOI: 10.18419/darus-1712/19
title: fulldim_3.tab

description: Plot-over-line data for full dimensional solution from upper tip to (1,1).
DOI: 10.18419/darus-1712/20
title: lowdim_3.tab

description: Plot-over-line data for reduced model from upper tip to (1,1).
DOI: 10.18419/darus-1712/21
title: lowdim_2.tab

description: Plot-over-line data for interface quantities from the reduced model solution from lower tip to upper tip.
DOI: 10.18419/darus-1712/22
title: fulldim_2.tab

description: Plot-over-line data for averaged quantities from full dimensional solution from lower top to upper tip.
DOI: 10.18419/darus-1712/23
title: plot-100.png

description: Plot-over-line from (0,0) to (1,1).
DOI: 10.18419/darus-1712/24
title: lowdim_3.tab

description: Plot-over-line data for reduced model from upper tip to (1,1).
DOI: 10.18419/darus-1712/25
title: frame_100.png

description: Saturation distribution at t=1.
DOI: 10.18419/darus-1712/26
title: lowdim_2.tab

description: Plot-over-line data for interface quantities from the reduced model solution from lower tip to upper tip.
DOI: 10.18419/darus-1712/27
title: fulldim_3.tab

description: Plot-over-line data for full dimensional solution from upper tip to (1,1).
DOI: 10.18419/darus-1712/28
title: lowdim_1.tab

description: Plot-over-line data for reduced model solution from (0,0) to lower tip.