cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rxsw3f69yc
title: Lung Cancer RECIST PFS/OS data

description: The database is extracted from CT scans of patients diagnosed with lung cancer. Patients with different characteristics are monitored and treated at the Salah Azaiez Institute in Tunisia.
Objective response for each patient was reported. When patients are suffering from a solid tumor in the lungs, RECIST criteria are adopted to assess the patient's response to treatment (often chemotherapy and/or or radiotherapy and/or surgery).
Using this information from the CT scans and reports written by Salah Azaiez Institute radiologists, we were able to establish a dataset that provides, for each patient: age, sex, treatment, presence of mass and presence of nodules, censoring information (left, right or by interval), the objective response and the survival time in days.
DOI: 10.17632/g4vgyn8n39
title: APK_AIM_Replication_File

description: This zip file contains the replication package for "Do Personal Taxes Affect Investment Decisions and Stock Returns? by Alexander P. Kontoghiorghes.
DOI: 10.17632/yg8jnsjrvm
title: Plant Leaf Classification Dataset: A Labeled Collection for Deep Learning-Based Image Recognition

description: This dataset contains 12 class-high-resolution images of plant leaves, mainly collected for machine/deep learning-based classification. The 12 classes are: Artocarpus heterophyllus,Bambusa vulgaris,Coccinia grandis,Codiaeum variegatum,Ficus benghalensis,Foliorum Forma-Orbicularis,Herbarium Oxalis,Hevea brasiliensis,Indonesian Bay,Lembu,Mangifera indica,Psidium guajava. Each class contains approximately 300 images and all over almost 3700 images in total 12 classes. This image is resized (512x512); before using this dataset, you need to apply preprocessing and augmentation. This dataset
DOI: 10.17632/6x9srbfp6w
title: Gender Classification Using Twitter Data

description: This dataset is an expansion of the Twitter User Gender Classification dataset, which is freely available on Kaggle. The aim of this data for research is to predict user gender based on textual data available on Twitter. 

The original dataset contained 12,894 distinct male and female twitter users with one tweet each. This was significantly expanded to 269,108 tweets by the same 12,894 users where each user had multiple tweets. Expansion method was using Tweepy to access the Twitter API.

The uploaded files contains the Train and Test split used for the experiment. It contains the following:

user_id - a unique id for each user 
gender - male or female
gender:confidence -  a float representing confidence in the provided gender (1 for 100%)
created_at - date and time when the tweet was created
tweet_id - the unique id of the text of a random tweet by the users

Attached also is a simple script on Jupyter Notebook using Tweepy. This is built to retrieve a tweet’s complete information using its ID which is known as the hydration of a tweet ID. Some sample tweet id's are already in the script for testing purposes.
DOI: 10.17632/cpp3bx8ghd
title: dataset

description: This dataset contains SQUAD and NarrativeQA dataset files
DOI: 10.17632/mvshyj7g67
title: User Reviews of BCA Mobile App from Google Play Store (December 2023 - June 2024)

description: This dataset comprises 10,000 user reviews of the BCA Mobile app collected from the Google Play Store between December 24, 2023, and June 12, 2024. Each review includes the user's name, the rating they provided (ranging from 1 to 5 stars), the timestamp of when the review was created, and the text content of the review. The dataset is in Indonesian and focuses on feedback from users in Indonesia. This data can be used to perform sentiment analysis, understand user experiences, identify common issues, and assess the overall performance of the BCA Mobile app during the specified timeframe. The reviews are sorted based on the newest first, providing the latest feedback at the top.
DOI: 10.17632/w7wzkd7wd7
title: Inbound Open Innovation in Construction Firms: Intellectual Capital Antecedents and Performance Consequences

description: Research on open innovation in the construction industry is limited, particularly regarding the antecedents facilitating inbound open innovation and its implications for firm performance. This study examined the influence of intellectual capital (IC) on inbound open innovation (Inbound OI) and its subsequent impact on the performance of construction firms. Additionally, it explored the role of inbound OI in translating intellectual capital into firm performance. Data were collected from 130 construction contracting and consulting firms in Ghana through a survey. Structural equation modelling results indicate that human capital and structural capital directly influence inbound OI, while relational capital does not. Inbound OI positively affects firm performance (FP) linearly but shows a curvilinear (inverted U-shaped) relationship with FP at higher levels of inbound OI. Inbound OI partially mediates the effects of human and structural capital on FP but does not mediate the relationship between relational capital and FP. This study contributes to literature on open innovation by showing the influence of intangible knowledge assets on construction firm’s inbound OI activities. It also shows the intermediary role of inbound open innovation in linking three IC dimensions with FP, hence the path dependent processes to enhance performance through intellectual capital to facilitate inbound OI.
DOI: 10.17632/fm5cb343cr
title: Adolescent Twins' Social/Interpersonal Pleasure and other Positive Affect Ratings: A Genetic Inquiry

description: These data include demographic and self-report data for 177 MZ and 136 same sex DZ adolescent twins (Mean age = 16.4 ± .97 years). The sample was part of the Wisconsin Twin Project. The main questionnaire of interest was the adolescent version of the Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS-A), administered along with other self-report scales tapping aspects of positive affect (PA). The other scales included in the analyses included the Behavioral Activation Scale (BAS), Psychological Well-Being Scale, and revised Early Adolescent Temperament Questionnaire (EATQR). We expected associations between measures of PA and social/interpersonal pleasure, as measured by the ACIPS-A. Structural equation modeling estimated the relative contribution of genetic and environmental factors to the phenotypic variance in each of the measures. Followup bivariate analyses parsed the genetic and environmental contributions to the phenotypic covariances between the ACIPS-A and each of the other measures of PA. Main findings include the following: 1) moderate heritability for the ACIPS-A scale scores; 2) models specifying additive genetic and unique environmental effects (AE models) were the most parsimonious models for each of the measures; and 3) although several measures showed moderate positive associations with each other, bivariate biometric analyses indicated that the ACIPS-A also captures unique heritable variation.
DOI: 10.17632/x5ntpg7mgg
title: CATENA Manuscript Data

description: Research data of the manuscript
DOI: 10.17632/zc4t3x8w59
title: Intermediate temperature fracture resistance of stone matrix asphalt containing untreated recycled concrete aggregate

description: The database contains over 7182 data points which was developed using data extracted from asphalt laboratories and fracture test methodologies. The bituminous mixtures were designed using natural aggregates (limestone, and filler), recycled concrete aggregates (RCA) and Trinidad Lake Asphalt binder. The asphalt mixtures are gap-graded stone matrix asphalt (SMA). The mixtures were subjected to semi-circular bend (SCB) and single edge notched beam (SENB) tests which were suitable and comparable test methods to evaluate fracture behavior of asphalt mixes. The data was used measured the volumetric properties, Fracture Energy and Fracture toughness of the SMA mixtures.
DOI: 10.17632/9kcv4fdy3s
title: Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C)

description: Raw and processed data for the Cell publication: Mapping Systemic Inflammation and Antibody Responses in Multisystem Inflammatory Syndrome in Children (MIS-C)
DOI: 10.6084/m9.figshare.29198678.v1
title: Panoche permanently marked shrubs, California 2017

description: <b>Concept</b>Permanently tracked <i>Ephedra californica</i> shrubs at Panoche Hills Ecological Reserve, California. <br>Data were collected in 2017.<br><b>Methods</b>shrub_tag_ID is the unique code printed on metal tag affixed to each shrub<br>x = height, y = width of canopy on the largest axis, z = perpendicular width of canopy on smallest axis (all in m)<br>lat and long in decimal degrees <br>canopy decadence from 0-10 with 10 being a full canopy with no gaps in green cover <br>RDM is residual dry matter collected within a 20 × 20 cm square and weighed to the nearest gram <br>Full details listed here<b>Non-trophic interactions in deserts: Facilitation, interference, and an endangered lizard species</b>https://www.sciencedirect.com/science/article/abs/pii/S143917911630158X<br>
DOI: 10.17632/hc8s8xfss7
title: Data for: Official catch data underrepresent shark and ray taxa caught in Mediterranean and Black Sea fisheries

description: These are the annual Taxonomic Resolution Index (TRI) scores of reported domestic landings (retrieved from the United Nations Food and Agriculture Organisation) of elasmobranchs by Mediterranean and Black Sea countries (1950-2014). The TRI scores are ratios of the number of unique elasmobranch taxa reported (numerator) to the number of commercial taxa occurring in a country's waters (denominator; &gt;10% of EEZ area). Taxonomic scores for both the numerator and denominator are weighted by their taxonomic precision; species receive a full point. In cases when a country reported both a taxon and a higher taxon above it (e.g., reports of thornback ray (Raja clavata) as well as Batoidea) in the same year, points were counted only for the most precise taxon. Tonnage is not considered in TRI, so scores do not reflect the amount of landings reported at each taxonomic level.
DOI: 10.17632/zw7cx7v33g
title: Economic resonance frequency - Fourier analysis

description: This Python script performs simulations of historical growth data for economic sectors and conducts Fourier analysis to identify dominant frequencies. Here's a description of the data and its visualization:

Simulated Historical Growth Data:

The script generates synthetic historical growth data for economic sectors over a period of time.
The growth data is modeled as a sinusoidal function with added noise to simulate real-world variability.
Parameters such as frequency and amplitude control the characteristics of the simulated growth data.
Each simulation represents a different scenario with varying frequency and amplitude.
Fourier Analysis:

Fourier analysis is applied to the simulated growth data to decompose it into its frequency components.
The Fourier transform is computed using the Fast Fourier Transform (FFT) algorithm.
The amplitude spectrum is plotted, showing the amplitudes of different frequency components present in the growth data.
Peaks in the amplitude spectrum represent dominant frequencies, indicating the frequencies at which the growth data responds most efficiently to regulatory changes.
The red circles mark the identified peaks in the amplitude spectrum, representing the dominant frequencies.
Interpretation:

The visualizations provide insights into the frequency characteristics of historical growth data for economic sectors.
By analyzing the dominant frequencies identified through Fourier analysis, policymakers and analysts can gain a better understanding of the frequencies at which economic sectors respond most efficiently to regulatory adjustments.
This information can inform decision-making processes aimed at optimizing regulatory changes to promote economic growth and stability.
In summary, the script facilitates the analysis of historical growth data for economic sectors through Fourier analysis, offering valuable insights into the frequency dynamics and Economic Resonance Frequency (ERF) of the simulated data.
DOI: 10.17632/hhk764fmsz
title: Data of Noise Level in Different Industries of Khulna CIty, Bangladesh

description: This dataset is prepared in Microsoft Excel 2013. The values of sound for an 8-hour work shift in dBs in/around different industries of Khulna city, Bangladesh were directly noted using an environmental meter (model: DT8820). The physiological and psychological effects of noise pollution on workers' health is analyzed based on a questionnaire survey containing questions about the detrimental effects of noise the workers were facing.
DOI: 10.17632/65jxyrxv7b
title: Smart Agriculture and Plant Health Monitoring using IoT

description: The dataset is provided in a .xlsx file format, where each column represents a different sensor data, including Environmental Temperature , Environmental Humidity , Environmental Light Intensity , Solar Panel Battery voltage , Soil Moisture , Soil Temperature , Soil Humidity , Soil pH , Water TDS. Each row corresponds to a timestamped reading of the sensors, offering comprehensive data for real-time monitoring.
DOI: 10.17632/cyhchpxwps
title: ECG & EEG features for mental workload and multilevel stress classification in different sexes

description: The data were collected from 66 healthy university students (21 males, 24 females in the follicular phase of the menstrual cycle, and 21 females in the luteal phase of the menstrual cycle) . The Montreal Imaging Stress Task (MIST) was modified and used in this study. A series of computer-based mental arithmetic tasks is designed to evaluate responses in control and stressful conditions. The experiments thus conducted in two separate sessions for the two conditions, which were two weeks apart. Each of the 2 sessions consisted of 7 periods: training, eyes open (EO), mental arithmetic task (MAT) on 4 consecutive levels of difficulty (arithmetic calculation level 1, AC1–arithmetic calculation level 4, AC4), and recovery.

The control condition started with a training period to familiarize the subject with the experimental procedure, during which ECG and EEG signals were not recorded. During this period, the subject was presented with a series of computerized sampled questions at 4 difficulty levels of mental arithmetic tasks. Answer choices for every question were displayed on a computer screen in a sequence of integers between 0 and 9. The subject was requested to use a wireless computer mouse to click on the correct answer. Following the training period, the recordings started, and the subjects were asked to sit in a relaxed position with no movement and to focus on a black dot displayed on a computer screen for 5 minutes (the eye-open, EO, period). These requirements were critical to constructing a reliable EEG baseline with the minimum amount of artifacts caused by eye and body movements. After that, an instruction to perform mental arithmetic calculations was shown on the computer screen. The mental arithmetic task is composed of 4 levels of difficulty. Each level lasted 5 minutes. Level 1 (Arithmetic Calculation Level 1 – AC1): addition (+) and subtraction (-) of 3 single-digit numbers, e.g., 7-4+1. Level 2 (Arithmetic Calculation Level 2 – AC2): addition (+), subtraction (-), and multiplication (x) of 3 single- and double-digit numbers, e.g., 6x8-30. Level 3 (Arithmetic Calculation Level 3 – AC3): addition (+), subtraction (-), and multiplication (x) of 4 single- and double-digit numbers, e.g., 35+10-4*8. Level 4 (Arithmetic Calculation Level 4 – AC): addition (+), subtraction (-), multiplication (x), and division (/) of 4 single- and double-digit numbers, e.g., 96/4x2-11. No time limit or negative feedback messages were given to the subjects. After each question, the correct/incorrect message was displayed. After the AC4 period, the subjects relaxed and sat still for 5 minutes (the recovery period). ECG and EEG signals were recorded from the beginning of the EO period until the end of the recovery period.

The protocol for the mental-stress condition was the same as it was for the control condition, but with a time limit and social evaluative threat components introduced. Several negative feedbacks were introduced to actively induce stress.
DOI: 10.17632/3h65drkzrf
title: Meteorology data Basel, Switzerland

description: Data is for the Basel Meteorological Station in Switzerland. The data include features such as:
 Temperature
 Relative Humidity
DOI: 10.17632/kn6fgyd7b7
title: Data for: Morphometric analysis of the channel heads based on different LiDAR resolutions

description: Data include morphometric parameters of 16 channel heads in the Bieszczady Mountains in the Eastern Carpathians in Poland. Data were obtained on the basis of Digital Elevation Models of different resolution created of two LiDAR data types: Terrestrial Laser Scanning (TLS) and Airborne Laser Scanning (ALS). This data include also calculated metrics of uncertainty of channel head volume measurements.
DOI: 10.17632/ngxdg6jc36
title: Efficient tool flow for 3D photovoltaic modelling

description: Abstract Performance predictions and optimisation strategies in current nanotechnology-based photovoltaic (PV) require simulation tools that can efficiently and accurately compute optical and electrical performance parameters of intricate 3D geometrical structures. Due to the complexity of each type of simulation it is often the case that a single package excels in either optical or electrical modelling, and the other remains a bottleneck. In this work, an efficient tool flow is described in order to ... Title of program: Interfacing_Lumerical_Sentaurus Catalogue Id: AEWK_v1_0 Nature of problem Create a tool flow that models complex fabrication techniques,as well as accurate and efficient optical and electrical simulations for photovoltaic simulations. Versions of this program held in the CPC repository in Mendeley Data AEWK_v1_0; Interfacing_Lumerical_Sentaurus; 10.1016/j.cpc.2015.03.016 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/7z64x66rjh
title: Adaptación del paciente y su cuidador familiar durante la transición hospital-hogar: revisión de alcance para análisis de concepto

description: Contiene el resumen de los 85 artículos analizados en la revisión de alcance. Se incluyen las referencias, objetivo, método, tamaño de la muestra, principales resultados, conclusiones y aprotes al estudio. Incluye la calificación de la evidencia y de la calidad del estudio analizado.
DOI: 10.17632/582m8565dj
title: Model for simulation of dynamic ice-structure interaction for vertically sided offshore structures - SDOF MATLAB implementation

description: A MATLAB implementation of our model for the simulation of dynamic ice-structure interaction is presented. The model allows for the simulation of the interaction between sea ice and vertically sided offshore structures and to reproduce and predict the development of ice-induced vibrations. This includes the regimes of intermittent crushing, frequency lock-in, and continuous brittle crushing. The code shared here is excludes pre- and post-processing tools, ice buckling, and ice drift modules developed at TU Delft. The structure is represented by a single-degree-of-freedom oscillator. The aim of sharing this code is to facilitate the further development of the model and its use in the design of offshore structures. For any questions related to its application, please contact dr.ir. H. (Hayo) Hendrikse (h.hendrikse@tudelft.nl).
DOI: 10.17632/gg4hb2yx3m
title: Dataset of Financial Independence, Economic Growth, Human Development Index, Unemployment

description: This data is secondary data used to measure the effect of financial independence, economic growth and human development index on unemployment. The data is calculated using SPSS.
DOI: 10.17632/x3vb85t4xh
title: Cognitive, psychological, and neurophysiological effects of a web-based mindfulness intervention in older adults 

description: The study aims to evaluate cognitive, psychological, and physiological effects of a mindfulness-based intervention (MBI) delivered via web-based videoconference in 50 healthy older adults. This study was an open trial. We have not prespecified outcomes due to the exploratory design of the study. Fifty novice mindfulness practitioners were consecutively enrolled. The mean age of 50 older adults participating in MBI was 69.9+5.1 years. They were in prevalence female (74%) and highly educated (14.2+5.2 years). A comprehensive cognitive (verbal memory, attention and processing speed, executive functions) and psychological (depression and anxiety symptoms, mindfulness, worries, emotion regulation strategies, well-being, interoceptive awareness and sleep) evaluation and EEG recording were collected pre- and post-MBI and at 6-month follow-up (T6). 
We found significant improvement from pre-MBI to post-MBI and T6 on measures of verbal memory (California Verbal Learning Test), attention and executive functions (Trail Making test), interoceptive awareness (Multidimensional Assessment of Interoceptive Awareness), and rumination (Heidelberg Form for Emotion Regulation Strategies). EEG alpha1 significantly decreased and alpha2 significantly increased from pre-MBI to T6. The improvement of TMTBA and rumination correlated with alpha1 decrease and the improvement of TMTA with alpha2 increase.  
The database report cognitive, psychological, and EEG variables at pre-, post-MBI and 6-month follow-up. Data dictionary is included.
DOI: 10.17632/7h4b5ryffx
title: Diversity and complexity of auditory representation in the hearing systems of Aedes aegypti mosquitoes (calcium imaging)

description: Materials regarding calcium imaging are included
DOI: 10.17632/k2h7y57sd8
title: Data for "Reassessing enzyme kinetics: Considering protease-assubstrate interactions in proteolytic networks"

description: Data to accompany the PNAS paper of the same title with authors Meghan Ferrall-Fairbanks, Chris Kieslich, and Manu Platt
DOI: 10.6084/m9.figshare.29183996.v1
title: Source Data for "<b>Best Practices for Measuring Indoor Photovoltaic Devices"</b>

description: Source Data for "<b>Best Practices for Measuring Indoor Photovoltaic Devices"</b>
DOI: 10.17632/5p8gwfrtrm
title: Dataset of Yield and Biomass on Maize Hybrid Under Shading and Drought Stress

description: The data contains of two Tables and five Figures. Table 1 shows information on the effect of genotype, environment, and their interaction (GEI) on yield and biomass using a combined analysis of variance (ANOVA). Table 2 shows genetic materials fo the experiment. Figure 1 presents heat map of biomass and yield. Figure 2 shows the yield and biomass stability of maize hybrids based on AMMI measurements. The results of AMMI analysis of 24 corn hybrids for yield and biomass in three environments are presented in Figure 2. Figure 3 shows the GGE biplot display of the 'discrimitiveness vs. representativeness.' pattern for biomass and yield. Figure 4 shows the GGE Biplot 'Mean vs Stability' pattern for yield and biomass. The average yield of each genotype is shown on the X-axis, while yield stability is shown on the Y-axis. The data in Figure 5 shows the 'GGE biplot of Which Won Where' for yield and biomass characters.
DOI: 10.17632/bktzm7k664
title: ExoskeletonsH&SV2

description: The review discusses the current state of exoskeletons designed for medical care and occupational safety in industries. It categorizes exoskeletons based on their features and their fit on the human body. The review analyzes relevant articles from various databases, extracting 91 primary studies out of 359. It emphasizes the importance of collaboration between researchers, designers, healthcare professionals, and the industry for the future of exoskeletons in enhancing workplace health and safety. As technology advances and understanding of human-device interaction grows, exoskeletons are expected to continue improving working conditions and safety in diverse environments.