cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jdbfy6crpn.3
title: Results of performing of eight lucid dream deepening techniques by practitioners and R analysis script

description: Results of performing of eight techniques for increasing perception vividness, or deepening techniques (DTs) in lucid dreams (LDs) by practitioners from December 23, 2018, to November 11, 2022. Experimental task Each DT corresponded to a specific task. Volunteers could participate in one or more tasks. A separate LD experience was required to perform each DT. Participants were instructed to initiate LD by any method and immediately perform a DT corresponding to the task without using other techniques that could affect perception vividness. Then, participants were to pay attention to how perception vividness changed. Regardless of the result, participants were allowed to perform each experiment only once before submitting their reports on the website. Also each participant reported which LD induction method they used, all the LD events, the LD termination type, and the number of LDs experienced in their lifetime. Tested DTs This study compared eight DTs: imagining wakefulness, spinning, falling upside down, warming up, verbal command, vibrations, obscene expressions, and palpation. For each DT, except for palpation, tasks were provided in Russian. For palpation DT, the task was presented in English. Statistical analysis Eight DTs correspond to the five principles on which they are based (DT types): sensory, motor, vestibular, emotional, and suggestion types. Sensory - palpation, vibration; Motor - warming up; Vestibular - falling upside down, spinning; Emotional - obscene expressions; Suggestion - imagining wakefulness, verbal command; Rows: 1) DT name - imagining wakefulness, spinning, falling upside down, warming up, verbal command, vibrations, obscene expressions, palpation; 2) DT type - sensory, motor, vestibular, emotional, suggestion; 3) Status yes/no (did the technique lead to an increase in perception vividness in LD) - yes, no, n/a (other or unclear); 4) Status (specific result of DT performing) - same (real) (perception vividness remained at a high level), worked (perception vividness increased without exceeding that experienced during wakefulness), hyper (DT led to perception vividness exceeding that experienced during wakefulness), foul (LD termination), decrease (decrease in perception vividness), same (low) (perception vividness remained at a low level), n/a (other or unclear); 5) Gender (practitioner's gender) - m, w; 6) LDs number (the number of LDs in a practitioner's lifetime) - 1(&lt;4), 2(4-10), 3(11-30), 4(31-100), 5(101-500), 6(&gt;500); 7) Method (LD induction method) - indirect (upon awakening), direct (without sleeping, upon falling asleep, or immediately after falling asleep), ld (becoming conscious during a dream), n/a (other or unclear); 8) End (LD termination type) - force (unintentional natural awakening), dream (unintentionally falling asleep or getting lost in a dream plot), outer (awakening due to external factors), self (intentional awakening), fake (unrecognized false awakening), n/a (other or unclear).
DOI: 10.15468/dl.zyw8kq
title: Occurrence Download

description: A dataset containing 2899 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dendroflora of the botanical-geographical district of Kuhistan (composition, distribution and protection issues)."
 ]
}

 The dataset includes 2899 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009291-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dvvx6kst3f.2
title: Hazelnuts

description: Hazelnut Dataset
* Contains a total of 15770 hazelnut images in 3 different classes.
* From 1577 different hazelnut,  it was created by taking 10 pictures of each hazelnut from different angles.
* This classes quality hazelnut , damaged hazelnut  and hazelnut kernel
DOI: 10.17632/8gc3ys3jx6.2
title: World Flux Data Set 2016

description: The World Flux Data Set contains a total of 49 variables (14 categorical and 35 numeric) including sediment-water fluxes of oxygen, ammonium, nitrite, nitrate plus nitrite, nitrate, dissolved inorganic phosphorus and dissolved silica (DSi) as well as sample location, date of measurement, measurement techniques, and a variety of water column and sediment characteristics (see Metadata Table 2 for full description). There were very few studies that contained data for all of these variables; most had 30 to 70% of all variables available. In addition to the general criteria indicated above, we only included data sets in our analysis that reported sampling location, literature source, date of measurement, light conditions at the sediment surface, description of the measurement technique (i.e., intact cores or in-situ chambers), stirring method, core or chamber area, and at least one sediment-water flux measurement for one of the analytes of interest. Most studies reported fluxes of several analytes for multiple time periods during a year and additional values for water column and sediment conditions. In a limited number of cases, the minimum data needed for inclusion in the data set were not reported in the paper containing the sediment flux data. In these cases we were able to obtain the required data by contacting authors or we were able to find other papers containing the needed data. The current data set contains 2879 lines of data and is also made available on the web (www.gonzo.cbl.umces.edu).
DOI: 10.17632/6wt6t9kswt.2
title: Dataset on the enthalpy of mixing in binary liquids

description: This dataset contains:
(1) "Dataset" folder - Data on the enthalpy of mixing collected in 375 binary liquids from Calphad modeling in composition domains where the models are supported by experimental measurements. Metadata ("Metadata.csv") and explanation of the data quality ranking ("Readme_Metadata.txt") are given in the root folder.
(2) "Predictions" folder - Machine learning predictions of this property given as Redlich-Kister polynomials in the 2415 binary systems generated by 70 elements. The predictions are also compared with those of the Miedema model in tables and figures where data are also plotted when available.

For more information and to use this dataset, please refer to this publication:
G. Deffrennes, B. Hallstedt, T. Abe, Q. Bizot, E. Fischer, J-M. Joubert, K. Terayama, and R. Tamura, Data-driven study of the enthalpy of mixing in the liquid phase, Calphad 87 (2024) 102745, https://doi.org/10.1016/j.calphad.2024.102745
DOI: 10.17632/39nhpc85kz.2
title: The 3D Neural Network for improving radar-rainfall estimation in monsoon climate

description: Weather radar can offer synoptic measurement at a higher temporal and spatial resolution to extract the rain information. Rainfall can be inverted from the radar reflectivity using the power-law relation to ground rain gauge measurement. The relationship known as Z-R model has been established in many variants but the uncertainty from the sampling bias and the Z-R variability of single-polarization radar observation on monsoon rain becomes subject to research. The inconsistence of the Z-R model exemplifies the main disadvantages of radar rainfall estimation. Previously proposed universal Z-R models are inadequate to be applied for heterogenous rain intensity during monsoon seasons . Studies on the accuracy of Z-R model are lacking for many reasons such as complex radar data structure, requires a large data storage and is very expensive when used for long-term observations. Radar reflectivity data was collected by the S-band single-horizontal polarization Doppler radar at Kota Bahru, Kelantan and the data is managed by Malaysia Meteorological Department (MMD). The observation covers radial measurement from 50 to 250 km radii. The reflectivity data represents the return signal sampled in 10 minutes and at position within 2-km altitude from the ground which was generated from the lowest scanning angle of 0.7 degree. Such setup would reduce the ground clutter effect which is typically pronounced in the signal received close to the radar antenna providing reliable rainfall information near to the surface and also minimizing the temporal uncertainty in the Constant Plan Position Indicator (CAPPI). Calibration through the threshold log receiver of signal-to-noise ratio (LOG) and the Doppler channel clutter-to-signal ratio (CSR) were applied in pre-processing for minimizing the uncertainties formed by the beam blockage, ground clutter, and during instrument calibration (VAISALA 2016). The radar data conversion from SIGMET to Netcdf was applied through Python Atmospheric Radiation Measurement (ARM) Radar Toolkit (Py-ART). Tipping bucket rain gauges provide rain intensity at a volumetric resolution of 0.2 mm in 1-hour resolution, organised by the Department of Irrigation and Drainage (DID). For this study, there are 58 gauges involved in the 200-km radar observation range. These studies reported that 50 gauges have experienced more than 10% of data void and 41 gauges were working in homogenous fashion while the rest of gauges were doubtful. The digital elevation model (DEM) data is a product of The Shuttle Radar Topography Mission (SRTM) with 30 meters (1 arc-second) pixel spacing and was used for altitude correction of each rain gauge. The DEM products have been corrected on the void pixels they can be downloaded from the U.S. Geological Survey (USGS) website. Reflectivity and rain gauge data are obtained during the wet season of the northeast monsoon from 2013 to 2015 (January, February, March, September, October, November and December).
DOI: 10.17632/243d6r4z26.1
title: A Computational Tool to Predict the Compositions, Latent Heats of Fusion and Melting Temperatures of Eutectic Mixtures of Organic Phase Change Materials (PCMs)

description: This Excel workbook is designed to calculate the properties of eutectic mixtures of organic phase change materials (PCMs). It contains data for 15 fatty acid PCMs that are used to generate the compositions, latent heats of fusion and melting temperatures of 105 binary mixtures of fatty acids. Default values can be modified by the user and the current database can be expanded to include other PCMs and generate properties of their mixtures. More details can be found in the worksheet "Disclaimer and Workbook Info" included in the workbook and in the published manuscript: S. Kahwaji, M.A. White, Prediction of the Properties of Eutectic Organic Phase Change Materials, Thermochim. Acta. 660 (2017) 94–100. http://linkinghub.elsevier.com/retrieve/pii/S0040603117303428
DOI: 10.17632/8mg8mkc7k5.3
title: Thermal images dataset, Transformer, 1 phase  dry type

description: --Contact email: 
najafi.mohamad.sh@gmail.com
m.najafi@nit.ac.ir
--Babol Noshirvani University of Technology
This version(3) contains 45 samples of Ground Truth images--determined by experts--for segmentation in order to reach the region of interest(ROI) in transformer.
--Applying this dataset is allowed just by considering the creator's citation for any academic or other purposes.
---This is thermal images (IRT) dataset in the context of condition monitoring of electrical equipment--Transformers. All artificially generated defects are internal faults, so they neither depend on external pieces nor failure in initial setup components. Regarding the transformer, 8 different cases of short circuit failures in common core winding were examined. The thermal image acquisition is done on the workbench by a Dali-tech T4/T8 infrared thermal camera in an Electrical Machines Laboratory at the environment temperature of 23°.
The number of images is 255 in 9 conditions- one of them is healthy/normal condition.
You can find the other specification in the attached PDF files or the related published paper.(DOI: 10.1109/ICSPIS51611.2020.9349599)
DOI: 10.17632/p5mvg6zmmn.1
title: IL17 CORONARY ARTERY DISEASE

description: DATABASE EXCELL CORONARY ARTERY DISEASE AND CONTROLS, IL17A + IL17RA SNPS
DOI: 10.17632/48m9sj3nzn.1
title: Data for: License to Lie and the Social (In)appropriateness of Lying

description: Data for the representative survey and lab experiment.
DOI: 10.17632/jkx9nm58vm.1
title: Contolled-coverage discrete S-transform (CC-DST)

description: The S-transform (ST) is a popular linear time-frequency (TF) transform with hybrid characteristics from the short-time Fourier transform (STFT) and the wavelet transform. It enables a multi-resolution TF analysis and returns globally referenced local phase information, but its expensive computational requirements often overshadow its other desirable features. In this paper, we develop a fully discrete ST (DST) with a controllable TF sampling scheme based on a filter-bank interpretation. The presented DST splits the analyzed signal into subband channels whose bandwidths increase progressively in a fully controllable manner, providing a frequency resolution that can be varied and made as high as required, which is a desirable property for processing oscillatory signals lacked by previously presented DSTs. Thanks to its flexible sampling scheme, the behavior of the developed transform in the TF domain can be adjusted easily; with specific parameter settings, for example, it samples the TF domain dyadically, while by choosing different settings, it may act as a STFT. The spectral partitioning is performed through asymmetric raised-cosine windows whose collective amplitude is unitary over the signal spectrum to ensure that the transform is easily and exactly invertible. The proposed DST retains all the appealing properties of the original ST, representing a local image of the Fourier transform; it requires low computational complexity and returns a modest number of TF coefficients. To confirm its effectiveness, the developed transform is utilized for different applications using real-world and synthetic signals.
DOI: 10.17632/m53nghfn6w.1
title: Dataset of effects of CrossFit intervention on students’ physical fitness in physical education

description: Data presented here to evaluate the effects of CrossFit intervention on students’ health-related physical fitness during physical education process through a meta-analysis. The procedure started with systematic screening following PRISMA guidelines using databases: Web of Science, SCOPUS, ScienceDirect, PubMed. Searching strategy and eligibility criteria of the literatures used in the meta-analysis are described. In all, 60 literatures were identified through predefined database and 6 of which fit for eligibility criteria. Meta-analysis was conducted by using RevMan-5.4.1. The random effects model was used to evaluate the effects of CF intervention on students. The outcomes from comparison between experiment and control groups were descripted with studies’ 95% confidence intervals (CI). The heterogeneity within comparison groups was estimated based on p-value of chi-squared (Q) test. I2 value also used for quantifying heterogeneity. Publication bias was estimated by using Rosenthal’s fail-safe number test (Nfs-T). Nfs-T = 19S - N (S = number of studies, p < .05, N = number of studies, p > .05). Tolerance level (TL) = 5K + 10 (K = all included studies). Sensitivity and subgroup analysis were conducted to remove study (studies) with deficiency that might influence effect in pooled group. The procedure illustrated here allows scholars to conveniently access and expand the pooled literatures and to utilize these data in future meta-analyses.
DOI: 10.17632/5xbhz4h8mv.1
title: hardRain: an R package for quick, automated rainfall detection in ecoacoustic datasets using a threshold-based approach - Case Study dataset

description: hardRain: an R package for quick, automated rainfall detection in ecoacoustic datasets using a threshold-based approach - CaseStudy dataset
DOI: 10.17632/cxj4cf6cdp.1
title: The role of prehospital ultrasound in reducing time to definitive care in abdominal trauma patients with moderate to severe liver and spleen injuries.

description: Dataset relative to the paper "The role of prehospital ultrasound in reducing time to definitive care in abdominal trauma patients with moderate to severe liver and spleen injuries."
DOI: 10.17632/scpttyz6t5.1
title: NER dataset related to legal texts

description: The following data pertains to Named Entity Recognition for legal judgment documents related to the crime of assisting in information network crimes. The dataset consists of a total of 4,236 samples, including both training and validation data, with a total of 8 labels. The file train1.json contains the raw data in JSON format, which is not divided into training and validation sets. The ner_data folder contains processed data in .txt file format, with the dataset split into training and validation sets at a ratio of 5:1. This folder also includes all label names. Ultimately, the model is trained using the processed dataset.
DOI: 10.17632/ykbc8hntzx.1
title: Rolling Bearing Datasets for Transfer Learning Fault Diagnosis

description: More detail can be found on the paper "A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions" and the code is on the GitHub and link below.
DOI: 10.17632/nc2gn5j36r.2
title: Data set for "Green light extends Drosophila longevity in a microbiota-dependent way"

description: Raw data to support the paper
DOI: 10.17632/vcnv6y9r6z.1
title: 3 Class Image Classification CNN Model

description: This CNN model has been written and tested on Google Collab. 
It can be used for classification of compositional patterns containing color. It has been trained and tested on datasets containing paintings, graphic patterns, photography, interior architecture and building facades providing reliable outcomes. 
The model employs a ResNet network and can be run in any system as it needs the least space for being loaded and run. It also functions quite fast.
The author suggests to use more than 10 epochs when training for better results. The model also can be merged with a similar structured MobileNet model.
DOI: 10.17632/yyfdjgc2wg.1
title: Fibromyalgia diagnosis from a multiomics approach: a gut feeling

description: The present dataset includes al the references included in the article titled "Fibromyalgia diagnosis from a multiomics approach: a gut feeling".
DOI: 10.17632/d3fd79c9ww.3
title: Replication Code/Pseudo Data for: "Index Providers: Whales Behind the Scenes of ETFs"

description: The files contain replication codes and pseudo data that generate the tables and figures in the paper An, Yu, Benetton, Matteo, and Song, Yang, "Index Providers: Whales Behind the Scenes of ETFs", Journal of Financial Economics, Forthcoming.
DOI: 10.17632/7723mdwywb.1
title: Relationship between eye movements and vocational behavior

description: This dataset contains data, R code and supplementary materials for analysing the relationship between eye movements and vocational interests. The aim of the studies was, to find out to what extent there are significant correlations between eye tracking parameters and vocational interests. Various eye tracking parameters were tested. Vocational interests were categorised on the basis of the RIASEC model according to John L. Holland.
Folder "Study 1" contains the raw data from the first data collection with a complex picture stimulus showing six different occupations according to Holland. The R code and the variable description are also included.
DOI: 10.17632/gk5x6k8xr5.1
title: BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification

description: The dataset comprises of a total of 2,029 original leaf images of ten unique categories of commonly found medicinal plants in Bangladesh, including Phyllanthus Emblica, Kalanchoe Pinnata, Centella Asiatica, Mikania Micrantha, Azadirachta indica, Hibiscus rosa-sinensis, Terminalia Arjuna, Ocimum tenuiflorum, Justicia Adhatoda, and Calotropis gigantea. In addition 38,606 augmented images are also provided to train larger and deeper deep neural networks.
DOI: 10.17632/sjpc5zykxy.1
title: Dr. Bhim Rao Ambedkar (Biography) translated in Sindhi by Ganpat Rai Bheel

description: Dr Bhim Rao Ambedkar (Biography) translated in Sindhi by Ganpat Rai Bheel in 2016 and published by Pakistan Dalit Adab Forum. It was originally written in Urdu by Ghazi Salahuddin.
DOI: 10.17632/j983x8jg79.2
title: Ontological Revision of Grassroots Innovation: Conceptualizing the Phenomenon

description: I used the Web of Science (WoS) data to select bibliography for GRI analysis due to its temporal coverage (from 1900 to present) and usage of multiple citation indices. Being aware that not all the journals are (and were) the part of WoS, I assumed that the citation index used by WoS could provide an understanding of the general trends and patterns of the GRI research. To verify the trends, I also used Scopus data, which temporal coverage starts from 2004 though.
DOI: 10.17632/g6b39zxck4.10
title: Global Burden of Disease analysis dataset of noncommunicable disease outcomes, risk factors, and SAS codes

description: This formatted dataset (AnalysisDatabaseGBD) originates from raw data files from the Institute of Health Metrics and Evaluation (IHME) Global Burden of Disease Study (GBD2017) affiliated with the University of Washington. We are volunteer collaborators with IHME and not employed by IHME or the University of Washington. 

The population weighted GBD2017 data are on male and female cohorts ages 15-69 years including noncommunicable diseases (NCDs), body mass index (BMI), cardiovascular disease (CVD), and other health outcomes and associated dietary, metabolic, and other risk factors. 
 The purpose of creating this population-weighted, formatted database is to explore the univariate and multiple regression correlations of health outcomes with risk factors. Our research hypothesis is that we can successfully model NCDs, BMI, CVD, and other health outcomes with their attributable risks.
 
These Global Burden of disease data relate to the preprint: The EAT-Lancet Commission Planetary Health Diet compared with Institute of Health Metrics and Evaluation Global Burden of Disease Ecological Data Analysis. 
The data include the following:
1.  Analysis database of population weighted GBD2017 data that includes over 40 health risk factors, noncommunicable disease deaths/100k/year of male and female cohorts ages 15-69 years from 195 countries (the primary outcome variable that includes over 100 types of noncommunicable diseases) and over 20 individual noncommunicable diseases (e.g., ischemic heart disease, colon cancer, etc).
2.  A text file to import the analysis database into SAS
3.  The SAS code to format the analysis database to be used for analytics
4.  SAS code for deriving Tables 1, 2, 3 and Supplementary Tables 5 and 6
5.  SAS code for deriving the multiple regression formula in Table 4. 
6.  SAS code for deriving the multiple regression formula in Table 5
7.  SAS code for deriving the multiple regression formula in Supplementary Table 7  
8.  SAS code for deriving the multiple regression formula in Supplementary Table 8
9.  The Excel files that accompanied the above SAS code to produce the tables

For questions, please email davidkcundiff@gmail.com. 
Thanks.
DOI: 10.17632/smsshnvk5h
title: Soil stoichiometry but not alfalfa biomass drives soil multifunctionality in semiarid alfalfa rangelands

description: DATA
DOI: 10.17632/ygrfr967nm.4
title: Code for "Portfolio Pumping in Mutual Fund Families"

description: The directory contains code used for the paper "Portfolio Pumping in Mutual Fund Families".
DOI: 10.17632/vswcpny4dn.1
title: Data for: Carbon Pricing with an Output Subsidy under Imperfect Competition: The Case of Alberta's Restructured Electricity Market

description: This data includes the raw data files used in our analysis. Detailed analysis files are available upon request.
DOI: 10.17632/5rz5497n8c.1
title: Data for: Designs of Control Rods with Strong Absorption Ability for Small Fast Reactors

description: The properties of boron carbide, hafnium diboride, and hafnium hydride.