cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8fbdhh72gs.5
title: Database of influencers' tweets in cryptocurrency (2021-2023).

description: Authors, through Twitter API, collected this database over eight months. These data are tweets of over 50 experts regarding market analysis of 40 cryptocurrencies. These experts are known as influencers on social networks such as Twitter. The theory of Behavioral economics shows that the opinions of people, especially experts, can impact the stock market trend (here, cryptocurrencies). Existing databases often cover tweets related to one or more cryptocurrencies. Also, in these databases, no attention is paid to the user's expertise, and most of the data is extracted using hashtags. Failure to pay attention to the user's expertise causes the irrelevant volume to increase and the neutral polarity to increase considerably. This database has a main table named "Tweets1" with 11 columns and 40 tables to separate comments related to each cryptocurrency. The columns of the main table and the cryptocurrency tables are explained in the attached document. Researchers can use this dataset in various machine learning tasks, such as sentiment analysis and deep transfer learning with sentiment analysis. Also, this data can be used to check the impact of influencers' opinions on the cryptocurrency market trend. The use of this database is allowed by mentioning the source.
Also, in this version, we have added the excel version of the database and Python code to extract the names of influencers and tweets.
in Version(3): In the new version, three datasets related to historical prices and sentiments related to Bitcoin, Ethereum, and Binance have been added as Excel files from January 1, 2023, to June 12, 2023. Also, two datasets of 52 influential tweets in cryptocurrencies have been published, along with the score and polarity of sentiments regarding more than 300 cryptocurrencies from February 2021 to June 2023. Also, two Python codes related to the sentiment analysis algorithm of tweets with Python have been published. This algorithm combines RoBERTa pre-trained deep neural network and BiGRU deep neural network with an attention layer (see code Preprocessing_and_sentiment_analysis with python).
DOI: 10.17632/wgfvtnm796.1
title: "Did Covid-19 Pandemic Change Consumers’ Online Purchase Intention? Assessing via Consumer Trust, Social Influence, Perceived Usefulness and Ease of Purchase"

description: Did Covid-19 Pandemic Change Consumers’ online Purchase Intention? Assessing via Consumer Trust, Social Influence, Perceived Usefulness and Ease of Purchase
ABSTRACT
The advent of Covid-19 has changed the way people purchase and consume products/ services. The present study investigates key factors such as perceived usefulness (PU), ease of purchase (EOP), social influence (SI), and consumer trust (CT) affecting online purchase intention (OPI) among consumers of central region of India. Open University Learners, specifically Pandit Sundarlal Sharma (Open) University Chhattisgarh was approached to participate in the present study. Google Form was used in the data collection process in which more than 1200 responses were received, out of which 1060 were found usable for further data analysis. The participants/learners who have made at least one online purchase were only included as participants in the study.The results revealed that PU, EOP and SI explained significant connection with OPI, whereas CT contributed weak connection with OPI. The authors thoroughly discuss the findings of the study.
Keywords: Online Purchase Intention, Perceived Usefulness, Ease of Purchase, Social Influence, Consumer Trust
DOI: 10.15468/dl.tf99mj
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix reclinata Jacq.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 725 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009158-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7pwdtsn36v.2
title: Microsatellites markers used to assay genetic diversity in a pomegranate collection of 63 genotypes including 55 landraces and 8 cultivars.

description: The table lists 52 microsatellite primer pairs used to assay genetic diversity within a pomegranate collection of 63 genotypes including 55 accessions (landraces) and 8 cultivars from the Fruit Tree Unit of the Department of Soil, Plant and Food Science (DiSSPA) of University of Bari (Italy). The table reports the name, sequences of forward and reverse primers, repeat motif, reliability, and bibliographic reference for each SSR marker. The table also contains the scores relative to 77 informative SSR markers (derived from PCR amplification of 37 polymorphic SSR primer pairs) employed for cluster analysis and estimation of genetic distances among the 63 pomegranate genotypes. For all pomegranate accessions, each amplified SSR allele is annotated with the score “1” (present), “0” (absent) or “9” (missing data). SSR scores were converted into a binary matrix implemented into NTSYSpc v.2.1 software for dendrogram building.
DOI: 10.17632/w466vb97yh.1
title: Arab Journalists

description: This data reports on a large-scale online survey of Arab journalists and their practices (n=1443), designed to highlight the importance of various social media platforms in journalists’ practices and routine tasks.
DOI: 10.17632/7h9mdf5fvt.2
title: Data for the project management, life cycle inventory, costings and energy production of a ground-mounted photovoltaic farm in Greece

description: The data collected refer to the construction, costings, operation and environmental impacts of a photovoltaic farm and are provided in four separate Excel files with respect to their type and usage. Each file can be used separately for studying an individual topic or in combination with certain of the others to facilitate the study of more complex concepts. 
These four Excel files refer to the following dataset types:  
1.	Project Management Data
2.	Life Cycle Ιnventory (LCI)
3.	Electricity Generation Data
4.	Operational Cost Data
DOI: 10.17632/ptnnk6r3jn.3
title: Supplementary Information: Efficacy and Safety of Microencapsulated Benzoyl Peroxide and Microencapsulated Tretinoin for the Treatment of Acne Vulgaris: Results from Two Phase 3 Double-Blind, Randomized, Vehicle-Controlled Studies 

description: This file provides all supplementary information (tables and figures) for the manuscript entitled, "Efficacy and Safety of Microencapsulated Benzoyl Peroxide and Microencapsulated Tretinoin for the Treatment of Acne Vulgaris: Results from Two Phase 3 Double-Blind, Randomized, Vehicle-Controlled Studies", published in the Journal of the American Academy of Dermatology.
DOI: 10.17632/ss7ct4r25v
title: Supplementary data 1

description: Author not specifying any data sets in this Data Profile

Reason: The data that has been used is confidential

Comments: Due to the sensitive nature of the questions asked in this study, survey respondents were assured raw data would remain confidential and would not be shared.
DOI: 10.17632/k28dtm7tr6.2
title: KARD - Kinect Activity Recognition Dataset

description: To cite this dataset, please refer to the following paper:

Human Activity Recognition Process Using 3-D Posture Data. S. Gaglio, G. Lo Re, M. Morana. In IEEE Transactions on Human-Machine Systems. 2014 doi: 10.1109/THMS.2014.2377111

**********************
**********************
**********************

KARD contains 18 Activities. Each activity is performed 3 times by 10 different subjects.

1	Horizontal arm wave
2	High arm wave
3	Two hand wave
4	Catch Cap
5	High throw
6	Draw X
7	Draw Tick
8	Toss Paper
9	Forward Kick
10	Side Kick
11	Take Umbrella
12	Bend
13	Hand Clap
14	Walk
15	Phone Call
16	Drink
17	Sit down
18	Stand up

In total, you have 4 (files) x 18 (activities) x 3 (repetitions) x 10 (subjects), that is 2160 files.
Each filename is in the form aA_sS_eN_string where A is a two-digit actionID and S is a two-digit subjectID for the N-th repetition.

The string parameter depends on the the type of provided information:

- depthmaps.txt: depth map,
- .mp4: 640x480 RGB video,
- realworld.txt: joints position in real world coordinates,
- screen.txt: joints position in screen coordinates and depth value.

For example, the file a04_s03_e02_realworld.txt contains the skeleton joints position in real world coordinates for the second repetition of the action #4 performed by the subject #3.
The files containing the skeleton coordinates (realworld.txt and screen.txt) list the 15 joints in consecutive blocks, one for each frame.

line 1	Head
line 2	Neck
line 3	Right Shoulder
line 4	Right Elbow
line 5	Right Hand
line 6	Left Shoulder
line 7	Left Elbow
line 8	Left Hand
line 9	Torso
line 10	Right Hip
line 11	Right Knee
line 12	Right Foot
line 13	Left Hip
line 14	Left Knee
line 15	Left Foot

Each file contains 15xF lines, where F is the number of frames for that sequence, and each line reports three numbers: real world coordinates (x, y, z) for realworld.txt, or screen coordinates and depth value (u, v, depth) for screen.txt.

The dataset is made of 540 sequences for about a total of 1 hour of videos captured at a resolution of 640x480 pixels at 30fps. Uncompressed frame images are also available on request.
DOI: 10.17632/4sccxmrfzm.1
title: Supplementary Images & Discussion - Tolerated, Effective, Successful: Low Dose Oral Minoxidil for Treating Alopecia, A 3-Year North American Retrospective Case Series

description: Supplementary discussion includes further description of LDOM (low-dose oral minoxidil) tolerance and side-effects, as well as potential mechanism of action and therapeutic efficacy of systemic minoxidil at the crown in contrast to the bitemporal scalp sites, particularly in male patients. Serial photography submitted with patients' expressed written consent. Images depict clinically notable hair growth in a female patient (global scalp regrowth) and male patient (crown regrowth).
DOI: 10.17632/mdgz8kxpdh.2
title: Nutrient Supply to Planetary Biospheres from Anoxic Weathering of Mafic Oceanic Crust

description: Experimental data from the oxygenated and anoxic basalt weathering experiments, including solution chemistry and mineral characterization by X-ray absorption spectroscopy/fluorescence microscopy. The thermodynamic database for geochemical speciation calculations is also included.
DOI: 10.17632/8jtjnpwrmr.1
title: Common Ownership and Innovation Efficiency -- Replication Package

description: This folder contains the code and data needed to replicate ``Common Ownership and Innovation Efficiency'' by Xuelin Li, Tong Liu, and Lucian A. Taylor.
DOI: 10.17632/k7z2yywdn5.1
title: The incidence and risk factors of postpartum haemorrhage in a low resource setting

description: This was a retrospective study to investigate the incidence and identify risk factors of Postpartum Haemorrhage (PPH) in women attended to at Mpilo Central Hospital in Bulawayo, Zimbabwe during January 2017 – June 2018. Postpartum haemorrhage(PPH), as defined by the World Health Organisation (WHO), is vaginal blood loss in excess of 500ml following childbirth. Primary PPH is defined as blood loss of 500ml or more following a normal vaginal delivery (NVD) or 1,000ml or more following a Caesarean section, within 24 hours of birth. Logistic regression models were used to determine the association and interaction patterns among the variables, when identifying the risk factors, using the statistical software SPSS. Categorical data analysis will be carried out in SPSS, to develop a regression model for the likelihood to develop PPH. The predictor variables were age, gestational age, antenatal booking status, past obstetrics complications, parity, current complications and birth weight. Univariate analysis was done to determine the risk factors. Each independent variable was regressed against the dependent variable to test for significance for inclusion in the final model. The incidence rate was 1.66%, much less than is reported in literature for sub Saharan countries. The regression equation showed that for PPH (LSCS) relative to PPH (NVD), there was only one predictor (ENND1=0), with a regression coefficient significantly from zero so it was included in the final model. It shows that the relative log odds of being in PPH (LSCS) relative to PPH (NVD) would decrease by -3.969 if changing from (ENND1=1) to (ENND1 = 0).
DOI: 10.17632/w6cwkn4jm7.2
title: Data on electricity demand and renewable energy production for the Colombian energy system

description: Data produced for the analysis and development of a high temporal resolution model for the Colombian energy system. The information presented here was collected from international agencies and domestic organisations (SIEL, XM, IEA, UPME, ACOLGEN, IDEAM) and finally filtered and processed. It includes electricity hourly demand data from 2012-2016, natural water inflows time series, renewable energy sources (RES) production distributions and energy exports and imports.
DOI: 10.17632/wj2h5hn7kc.3
title: Rice seed dataset

description: Terahertz spectral and imaging data set for detecting rice seed plumpness
DOI: 10.17632/gbbsrpx6bs.1
title: CAD meta-analysis

description: See publication: https://doi.org/10.1161/CIRCRESAHA.117.312086
DOI: 10.17632/5xth87zwb5.2
title: Sanadset 368K: Data on Hadith Narrators

description: Sanadset is a full hadith dataset that contains over 368,683 records collected from 926 historical Arabic books of hadith. This dataset can be used for further investigation and classification of hadiths (Strong/Weak), and narrators (trustworthy/not) using AI techniques, and also it can be used as a linguistic resource tool for Arabic Natural Language Processing.
DOI: 10.17632/3j6fsr634d.1
title: Behavior Dataset

description: Behavior across development of C. elegans individuals of the following genotypes: -N2 -tph-1 -cat-2 -tdc-1 -daf-7 -mod-5 -ser-1 -ser-4 -ser-5 -ser-7 -mod-1 Each genotype population is a Matlab cell array, each cell shows the center of mass XY positions of a single individual (3fps) across development time. 1's in XY positions indicate that the animal was not detected .
DOI: 10.17632/g6y69g8gwm.1
title: Dataset of Fluorescence EEM and UV Spectroscopy Data of Olive Oils during Ageing

description: This dataset contains total fluorescence spectroscopy data (excitation-emission matrices, EEMs) and UV-spectroscopy absorption data of 24 commercial extra virgin olive oils (EVOO) fresh and at different stages of ageing. The ageing was performed at 60°C up to a maximum of 53 days of exposure. The datasets contains the fluorescence characteristics and the UV absorption of all the oils at 10 intermediate ageing steps. The data provided are raw data, without any manipulation or correction. The data are organized in folders, one for each ageing step. For the details of the sample description and data structure please refer to the paper "Dataset of Fluorescence EEM and UV Spectroscopy Data of Olive Oils during Ageing" by the same authors. For any questions please contact Prof. Dr. Francesca Venturini (vent@zhaw.ch).
DOI: 10.17632/nzw53yp6bj.1
title: Ellobius Talpinus

description: To find out whether the social subterranean rodent, the northern mole vole (Ellobius talpinus) hibernate in winter, nine individuals from Southern Siberia were captured in late autumn, and implanted with original loggers, that constantly recorded body temperature (Tb) and locomotor activity and then released.
DOI: 10.17632/y4md8znppn.1
title: Dataset of Raman and Surface-enhanced Raman Spectroscopy spectra of illicit adulterants added to dietary supplements

description: The dataset contains a collection of Raman and Surface-enhanced Raman Spectroscopy (SERS) spectral data of illicit adulterants added to dietary supplements.
DOI: 10.17632/kz84t85z66.2
title: Crack900

description: A large pixel-labeled dataset of masonry structure cracks is built, including five types of images: RGB, IR, fused, RGB_T and RGB_IR. Originated in the Research Lab of Automation in Construction Engineering and Management (ACEM), Department of Civil Engineering, Xi'an Jiaotong-Liverpool University
DOI: 10.17632/r6cmspfr25.1
title: Neglected no longer: Phylogenomic resolution of higher-level relationships in Solifugae. Kulkarni et al.

description: Files include-
1. UCE data matrix for 65% identity and coverage threshold
 a.10% occupancy
 b. 40% occupancy
2. UCE data matrix for 80% identity and coverage threshold
 a.10% occupancy
 b. 40% occupancy
3. MARE matrix
DOI: 10.17632/4jycfwhb4g.2
title: Data for: Development and use of a clinical decision support system for the diagnosis of social anxiety disorder

description: This dataset is about social anxiety disorder and contains 31 attributes in 3 categories named demographic, emotional, and physical symptoms. The "hasSAD" field refers to the presence of Social Anxiety Disorder in person. Attribute documentation: 1 id: patient identification number 2 age: age in years 3 EducationLevel: Education level ( 1=High School; 2=Diploma; 3=Undergraduate; 4=Bachelor degree; 5=Master degree; 6=Post-graduate 4 Gender: sex (1 = male; 0 = female) 5 HasFamilyHistory: Family history of anxiety or depression (1 = yes; 0 = no) 6 Occupation: (1=Student; 2=Faculty member; 3=Employee; 4=self-employment; 5=Unemployed ) 7 ATF: The fear of being at the center of attention (Range=0-10) 8 EAF: The fear of eating in front of another person (Range=0-10) 9 TKF: The fear of speaking in public (Range=0-10) 10 CMT: The fear of attending parties (Range=0-10) 11 DEF: The fear of eating and drinking in public places(Range=0-10) 12 SMF: The fear of meeting or contact with strangers (Range=0-10) 13 ERF: The fear of getting in a room where others are sitting (Range=0-10) 14 DAF: The fear of disagreement with strangers (Range=0-10) 15 HR: Has heart palpitations (1=yes; 0=no ) 16 SW: Has sweating (1=yes; 0=no ) 17 TR: Has a tremor (1=yes; 0=no ) 18 DR: Has dry mouth (1=yes; 0=no ) 19 BR: Has hard breathing (1=yes; 0=no ) 20 CK: Has a feeling of suffocation (1=yes; 0=no ) 21 CP: Has chest pain (1=yes; 0=no ) 22 NS: Has gastrointestinal discomfort and nausea (1=yes; 0=no ) 23 DZ: Has a feeling of dizzy, weak and sick (1=yes; 0=no ) 24 UR: Has a feeling of being unreal (1=yes; 0=no ) 25 UB: Has a fear of losing balance (1=yes; 0=no ) 26 MD: Has a fear of being crazy (1=yes; 0=no ) 27 TG: Has numbness or moaning (1=yes; 0=no ) 29 hasSAD: (1=yes; 0=no) 30 SPIN: The result of the Social Phobia Inventory questionnaire (Range=0-68) 31 LSAS: The result of the Liebowitz Social Anxiety Scale questionnaire (Range=0-144)
DOI: 10.17632/cnrvy8czt7.1
title: MULTI-IFE—A one-dimensional computer code for Inertial Fusion Energy (IFE) target simulations

description: Abstract The code MULTI-IFE is a numerical tool devoted to the study of Inertial Fusion Energy (IFE) microcapsules. It includes the relevant physics for the implosion and thermonuclear ignition and burning: hydrodynamics of two component plasmas (ions and electrons), three-dimensional laser light ray-tracing, thermal diffusion, multigroup radiation transport, deuterium-tritium burning, and alpha particle diffusion. The corresponding differential equations are discretized in spherical one-dimensional L... Title of program: MULTI-IFE Catalogue Id: AEZR_v1_0 Nature of problem The implosion and ignition of inertial energy fusion capsules driven either directly by laser beams or indirectly by thermal radiation. Versions of this program held in the CPC repository in Mendeley Data AEZR_v1_0; MULTI-IFE; 10.1016/j.cpc.2016.02.014 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/tfcwp8bp5j.1
title: Two-target cycling task, primate motor cortex

description: This dataset contains single-unit electrophysiology data from two rhesus macaque monkeys during the performance of a two-target cycling task first described in Russo et al Neuron 2018. For more information about data collection and preprocessing see Russo et al Neuron 2018 and Russo et al Neuron 2020. For use examples and more example kinematics from the task, see the following GitHub repositories: • https://github.com/aarusso/trajectory-tangling • https://github.com/aarusso/trajectory-divergence Each dataset (one for each monkey) contains muscle activity (EMG), neural activity recorded from primary motor cortex and dorsal premotor cortex (M1), and neural activity recorded from the supplementary motor area (SMA). The dataset is organized as a MATLAB struct with the following fields: • .xA: mean-centered and normalized, trial-averaged responses for primary motor cortical neurons in a TC x N matrix, where N corresponds to the number of neurons, and TC corresponds to timepoints concatenated across all conditions. • .xA_raw: as for .xA but before normalization and mean-centering. • .xA_sem: corresponds to the standard error of the mean for the data in .xA_raw before trial-averaging. • xNames: unique name identifier for each neuron Analogous fields pertain to the SMA (‘.uA’) and EMG (‘.zA’) data. All data were recorded at 1kHz. The fields .vA and .pA contain example hand velocity (vertical and horizontal hand velocity) and example hand position (vertical and horizontal hand position) for 4 example sessions. The datasets also contain a field .mask which is a structure containing information about the TC dimension in all aforementioned fields: • .condNum: a TC x 1 vector containing the numeric identifier (1-20, for each of the 20 conditions) corresponding to that element of the TC dimension across all fields. • .time: a TC x 1 vector corresponding to time in seconds within each condition with respect to movement onset. • .dist: a TC x 1 vector corresponding to the pedaling distance. May be 7 (7-cycles), 4 (4-cycles), 2, 1, 0.5. • .dir: a TC x 1 vector corresponding to the pedaling direction. May be 1 (forward pedaling) or -1 (backward pedaling). • .pos: a TC x 1 vector corresponding to the starting position. May be 0 (bottom-start) or 0.5 (top-start). To ensure proper use of the data, please review the method sections of Russo et al 2018 and review demos provided in the GitHub repositories linked at the top of this document.
DOI: 10.17632/mdztcd9sg4.2
title: Journal of Tourism and Creativity

description: The Journal of Tourism and Creativity (JTC) is purely bring a new insight on tourism. Especially on tourism policy, creative tourism, sustainable tourism, tourism management and organization, travel and tourism, leisure and recreation. And other diciplines, such as sociology of tourism, anthropology of tourism, psychology of tourism, law tourism, technology and information of tourism, geography of tourism, tourism education. It also encompases of any applied tourism, such as marine tourism, eco tourism, tourism empowernment of local community, man made tourism, agrotourism, etc.