cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7pkbvjtnxm.1
title: Microdosing data harvest using Youtube Data Tool June 2016

description: This data harvest was done by using the Youtube Data Tool (YDT) developed by Bernhard Rieder from the Digital Methods Initiative. The first step was to use the term “microdosing” in the YDT Video list search query sorted by the view count, which gave a list of 115 videos, listed from the most viewed to the least viewed. The search was done on June 7th 2016. For more information see: https://tools.digitalmethods.net/netvizz/youtube/; https://wiki.digitalmethods.net/Dmi/WebHome; http://thepoliticsofsystems.net/2015/05/exploring-youtube/;
DOI: 10.17632/htnmsfb8kc.1
title: Foreign Corporate Political Activity In US Politics Data

description: We provide lobbying information for all foreign firms lobbying in the US since 1998.
DOI: 10.17632/5h86vnxw68.1
title: Energy Consumption Dataset For Smart Homes

description: This is a generated data for smart homes energy consumption and production. the data generated for 20, 50, 100 and 200 homes. Also, there is a dataset for 50 homes that is based on north Saudi Arabia weather. the data includes the energy production and energy consumption as well as the transactions. it could be used for simulating the energy prediction of smart homes as well as the peer to peer transactions. You may use the transactions for examining security algorithms for peer to peer transactions.
DOI: 10.17632/6ncwmyx6y4.3
title: Dataset on the determinants of willingness to continuously use financial technology among Indonesian university students

description: The dataset examines the two factors of perceived benefit and perceived risk that influence millennials Indonesian university student’ willingness to continuously continuance use financial technology.
DOI: 10.17632/9sm2x2twv4.1
title: Characterization of data on strategies for the promotion of global citizenship in Ibero-American higher education institutions (2015-2024).

description: Data collection was carried out through the search and systematization of experiences published on official university websites, academic articles and publications in social networks. Experiences related to curricular issues, pedagogical projects and academic events carried out exclusively in higher education institutions in Ibero-American countries were taken into account, excluding practices developed in other environments. Data is published in Spanish.
DOI: 10.17632/6dzmn2kb7m.1
title: Multivariate statistical approach for dissolved elements and quality assessment of natural springs and other drinking water sources in Southeastern Nigeria

description: This presents all the data used in the present work. The data in excel sheet are in separate tabs presenting raw physical and elemental characteristics of the water samples, water quality index calculation, hazard quotient and health index calculations. The data in Statistica (.sta and .stw) are plots of unrotated components, while data in SPSS (.sav) present ANOVA, Correlation, FA/PCA analysis of the elements under study. In order to view the data in this dataset, Microsoft office 2013 or higher, Statistica version 10 or equivalent and Statistical Package for Social Sciences (SPSS) version 16 or equivalent are required.
DOI: 10.17632/gngr3v5ztr.1
title: CADNA: a library for estimating round-off error propagation

description: Abstract The CADNA library enables one to estimate round-off error propagation using a probabilistic approach. With CADNA the numerical quality of any simulation program can be controlled. Furthermore by detecting all the instabilities which may occur at run time, a numerical debugging of the user code can be performed. CADNA provides new numerical types on which round-off errors can be estimated. Slight modifications are required to control a code with CADNA, mainly changes in variable declarations, ... Title of program: CADNA Catalogue Id: AEAT_v1_0 Nature of problem A simulation program which uses floating-point arithmetic generates round-off errors, due to the rounding performed at each assignment and at each arithmetic operation. Round-off error propagation may invalidate the result of a program. The CADNA library enables one to estimate round-off error propagation in any simulation program and to detect all numerical instabilities that may occur at run time. Versions of this program held in the CPC repository in Mendeley Data AEAT_v1_0; CADNA; 10.1016/j.cpc.2008.02.003 AEAT_v1_1; CADNA; 10.1016/j.cpc.2010.07.012 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/75k76546ms.1
title: Clinically Applicable Deep Learning Framework for Measuring the Extent of Hair Loss in Patients with Alopecia Areata

description: A companion code and data repository for the article, "Clinically Applicable Deep Learning Framework for Measuring the Extent of Hair Loss in Patients with Alopecia Areata". Along with the programs in the “/Program/” directory, a total of 2716 pixelwise annotations used to train the hair loss identifier (mask), and the hair loss identifier (target) can be find in the “/Data/” directory. However, please note that patients’ clinical photographs cannot be made publicly available because of strict privacy regulations.
DOI: 10.17632/6zxfys4y3d.5
title: Dataset for Validation Of Self-developed Authentic-based Competency Assessment Instrument for Secondary School Vocational Subject: Malaysian Context

description: These data sets are aimed to full fill required publication criteria in Data In Brief. First dataset is a list of self-made authentic-based competency assessment rubric that was developed especially for the use for Multimedia Production subject in secondary school. Second dataset is content evaluation data by six evaluation panels that was recorded by Google Form. The rubric was evaluated for its content validity through an online form (Google Form). The third is the dataset of analysis on content validity using Content Validity Ratio (CVR) and Content Validity Index (CVI) based on Lawshe Method (1975). The dataset is important for teachers, assessors and policy makers for designing an effective authentic-assessment rubric for evaluating students’ competency in vocational education especially in secondary school. The datasets give initial insights into designing and developing a rubric to cater the needs of the current assessment method especially in secondary school’s vocational education. Furthermore, it can be tested with adjustments in criteria in other subjects or other language, even in multi-cultural country to gain more depth and understandings on the rubric.
DOI: 10.17632/5d9dtxkpmw.1
title: BengaliPrintDB: A Repository of Machine-Printed Bengali Documents

description: Distinguishing between handwritten and machine-printed documents is vital in OCR applications due to varying processing methods. Handwritten text demands specialized recognition algorithms, such as neural networks with LSTM layers, addressing complex writing styles. In contrast, machine-printed text benefits from simpler algorithms like template matching. Adaptive pre-processing techniques involve normalizing styles and handling cursive writing for handwritten documents, while machine-printed documents focus on tasks like binarization and noise reduction. Feature extraction for handwritten text captures loops and slant, whereas machine-printed text emphasizes geometric properties. Training data selection differs, with diverse datasets for handwritten OCR models and uniform fonts for machine-printed OCR models. Efficiency is enhanced through selective processing based on document type, and adaptive learning strategies improve overall OCR performance. In essence, tailoring techniques to differentiate between these document types optimizes OCR accuracy and efficiency.
As selective processing based on document type improves efficiency, while adaptive learning strategies enhance overall OCR performance, so differentiation of handwritten and machine printed documents is essential.
DOI: 10.17632/ghvhwcpkbg.1
title: Offline Handwriting Signature

description: This dataset consists of 12,600 images from 420 unique individuals, as well as 30 signatures for each participant. All signatures were provided by students and faculty from the University of Raparin in Ranya, Iraq, and Firat University in Elazig, Turkey. The methods for collecting our dataset are detailed below.
1.	Set up a grid of five rows and three columns on an A4 sheet of paper so that each person can sign 15 signatures on each side.
2.	Provide each signer with two pages of paper with a grid for the required thirty signatures.
3.	The signatures of each individual must be of the same type.
4.	Each signature on the grid paper must be written in blue and black ink.
We have a team dedicated to accumulating signatures and providing feedback prior to, following, and throughout the signing process. The accumulation of datasets occurred over the span of two months.
Each A4 page contained 15 signatures during the preprocessing phase; therefore, we automatically cropped and saved them using MATLAB's Crop function. Each signature was then preserved as a unique image and placed in the class corresponding to the corresponding individual. In the concluding phase, the images were resized to 500 x 600 pixels. We manually reviewed and cropped the images in search of these instances because, during automated cropping, it is conceivable that some signatures were removed from the boundary and other signature portions were obliterated.
DOI: 10.17632/zg7tvnrkn9.1
title: Data for: "Political Cycles and Fiscal Management in Brazilian Municipalities" published by RAC - Revista de Administração Contemporânea

description: The database includes all information used for econometric assessment and analysis of results. Note that they are categorized based on the models defined in the methodology, which allows the total or partial replication of the findings. In general, they include a set of accounting, tax and political information, allowing assessment of the fiscal condition from the perspective of political cycles in Brazilian municipalities between 2006 and 2016, with political information obtained based on the election results of 2004, 2008, 2012 and 2016.
DOI: 10.17632/7b2gdx22b9.1
title: Real-world data on the clinical use of secukinumab in pediatric generalized pustular psoriasis: a 48-week retrospective study

description: Generalized pustular psoriasis (GPP) is a recurrent life-threatening disease and usually uncommon in children. Secukinumab, an interleukin (IL) -17 inhibitor, has been shown to be effective in the treatment of GPP in adult patients. However, there is currently a lack of evidence for its long-term efficacy and safety in the pediatric GPP population. This is a descriptive retrospective study that collected data from 18 pediatric patients with moderate to severe GPP treated with secukinumab in our department from July 2019 to August 2020, with 48 weeks of follow-up. Patient demographics and treatment characteristics were assessed. Response to secukinumab was evaluated by body temperature changes, laboratory examination assessments, Generalized Pustular Psoriasis Physician Global Assessment (GPPASI) scores, Generalized Pustular Psoriasis Physician Global Assessment (GPPGA) scores, Children's Dermatology Life Quality Index (CDLQI) scores, and Pediatric Quality of Life Inventory (pedsQL) scores. Adverse events were also recorded. All patients achieved GPPASI 50 at week 2 and GPPASI 75 at week 4. From week 12 to week 48, most patients achieved GPPASI 100 and only five patients did not reach GPPASI 100 due to minimal relapse. At week 2, the mean absolute GPPASI had a sharply decrease from 31.7 to 5.1 and improved further to 1.3 in week 4. Patients’ body temperature returned to normal at day 3. Pustules subsided within 3 days, erythema and scales decreased rapidly in the second week. The average CDLQI score decreased rapidly from 13.6 to 1.8 at week 4 and to 0 at week 48. For pedsQL scores, Physical Health Summary Score and Psychosocial Health Summary Score (mean change from baseline) improved gradually over time. All patients were followed for 48 weeks, and no serious adverse events were observed. Side effects that occurred in nine patients were mild and manageable. In conclusion, GPP systemic inflammation and skin symptoms did rapidly improve with the treatment of secukinumab, and this curative effect was maintained for 48 weeks without any unexpected safety signal. Our study shows that secukinumab could be an effective treatment option for pediatric patients with GPP.
DOI: 10.17632/wmzk9s3yxm.1
title: Data set Growth plants nursery

description: Height and diameter records of plants of six different tropical natives species established under nursery conditions, Tabasco, México during six months of study. They were used to calculate relative growth rates and regression equations. The study species were: Calophyllum brasiliense, Bravaisia integerrima, Dialium guianense, Roseodendron donnell-smithii and Enterolobium cyclocarpum
DOI: 10.17632/9bm76zcw28.1
title: Dataset for validating ENVI-met and assessing the benefits of facade greening during heatwaves 

description: This dataset consists mainly of two subsets. The first subset includes measurements and simulation data conducted to validate the simulation tool ENVI-met. The second data subset consists of ENVI-met simulation data of the potential of facade greening in improving the outdoor environment and the indoor air temperature during heatwaves in Central European cities. Both input and output data of the simulation models are provided together with the ENVI-met geometry files (INX files) and the ENVI-met material files (edb files). A full description of the datasets can be found in: 
H. Alsaad, M. Hartmann, R. Hilbel, C. Voelker, ENVI-met validation data accompanied with simulation data of the impact of facade greening on the urban microclimate, Data in Brief (2022).
DOI: 10.17632/ppy2x4yy7k.1
title: Data and code for study: "A review of types of risks in agriculture: what we know and what we need to know"

description: Author to who correspondence may be addressed: Adam M. Komarek (a.komarek@cgiar.org) Most recent edit: September 13th, 2019 Details: the zip file 'analysis.zip' has four main folders for the code and data required to replicate the results in the study titled: "A review of types of risks in agriculture: what we know and what we need to know". Study authors are Adam M. Komarek, Alessandro De Pinto, and Vincent H. Smith 1) a folder 'data' that contains the raw data and processed data from our literature search this includes a file "databaseAll_20190904.xlsx" located in data/dataProc that contains all the studies in our review, including details on, among others, title, abstract, keywords, authors, journal name, if a study was eligible to retain, type of risk(s) studies, country/region, and notes, and details on the country classification and eligibility criteria used. 2) a folder 'output' that contains the figures and (data as .csv for) tables reported in the study. TableS1_ctyRiskDecWide_df.csv lists the number of studies per country by type of risk and time period. 3) a folder 'scripts' contains the R scripts. These scripts are ordered sequentially. 'riskRev.Rproj' is the R project located in the trunk directory. It must be opened to set the project directory, which is needed to read in the data 4) a folder 'WoSSearch' contains details of the Web of Science search.
DOI: 10.17632/dx34pxnnk4.1
title: NZRACLSCND

description: Net-Zero, resilience and agile closed-loop supply chain network design considering robustness and renewable energy
DOI: 10.17632/9shcdb8ry7.1
title: Personalización de Tablas y figuras  para RSL sobre responsabilidad social empresarial en la minería

description: Datos de resultados de personalización de tablas y figuras para el mapeo del estado del arte de los mecanismos de responsabilidad social empresarial en la industria minera
DOI: 10.17632/48th468ws8.1
title: infliximab survival

description: Supplemental figures and methods for "Infliximab shows superior drug survival among biologics for hidradenitis suppurativa: a cohort study"
DOI: 10.17632/py4zw6g7xc.2
title: Dataset for Human Recognition under Multi-Gait Scenario

description: Previous research in gait recognition and available dataset focused on single subjects. But in real time environment (such as airport, metro stations etc.) more than one person walk in a group and occlusion factors affects the performance of gait recognition. Therefore, we presented a new dataset which focused dynamic occlusion scenario. We constructed two categories of gait dataset i.e. first, subjects walk in a group (SMVDU-Multi-Gait) and second, subjects walk separately (SMVDU-Single-Gait). The purpose of this dataset to analyze the variations in gait patterns when same subject walk in a group or individually and also to recognize the target subject in Multi-Gait.
DOI: 10.15468/dl.wndg69
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus sabiniana Douglas ex D.Don",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 163 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009242-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6hx2smc7nw.1
title: Resting-State interictal EEG recordings of refractory epilepsy patients

description: Resting state EEG recordings used to estimate the Functional Connectivity (FC) between pairs of electrodes. The method used for FC analysis was the debiased weighted phase-lag index (dWPLI)
DOI: 10.17632/8jmm8ty72k.1
title: Enhancing Colorectal Cancer Treatment Efficacy: A Comprehensive Investigation into the Synergistic Potential of Phyllanthus niruri Linn and Capecitabine in Targeting Cancer Stem Cells

description: This is the research data
DOI: 10.17632/ndxb93h4vc.1
title: FibrilJ: ImageJ plugin for fibrils’ diameter and persistence length determination

description: Application of microscopy to evaluate the morphology and size of filamentous proteins and amyloids requires new and creative approaches to simplify and automate the image processing. The estimation of mean values of fibrils diameter, length and bending stiffness on micrographs is a major challenge. For this purpose we developed an open-source FibrilJ plugin for the ImageJ/FiJi program. It automatically recognizes the fibrils on the surface of a mica, silicon, gold or formvar film and further analyzes them to calculate the distribution of fibrils by diameters, lengths and persistence lengths. The plugin has been validated by the processing of TEM images of fibrils formed by Sup35NM yeast protein and artificially created images of rod-shape objects with predefined parameters. Novel data obtained by SEM for Sup35NM protein fibrils immobilized on silicon and gold substrates are also presented and analyzed.
DOI: 10.17632/8d6s67bgcw.1
title: Neutrosophic-Grey Analytic Hierarchy Process (NG-AHP) data and analysis

description: The available data, and analysis pertain to the article titled "A hybrid neutrosophic-grey analytic hierarchy process method: decision-making modelling in uncertain environments". The proposed NG-AHP method is applied in agility evaluations in the Iranian steel industry. Five agility evaluation criteria are considered as assessment criteria, and are applied to four steel companies. Based on the data collected from the six experts or decision makers (DMs), the aim is to find out the most significant agility criteria. Then, the steel companies are ranked in terms of agility readiness criteria. Four steel manufacturing companies are explored in this study, and their names are anonymised as SC1, SC2, SC3, and SC4. Thus, the decision problem involves four alternatives (SC1, SC2, SC3, and SC4), and five criteria (C1, C2, C3, C4, C5). The descriptions of provided files are as follows: 1. The grey-AHP (G-AHP) method application steps using the proposed rating scale is demonstrated in the provided MS Excel file (i.e.G-AHP Computations.xlsx). 2. The neutrosophic-AHP (N-AHP) method application steps using the proposed rating scale is demonstrated in the provided MS Excel file (i.e.N-AHP Computations.xlsx). 3. The aggregated NG-AHP, final weights calculations, and ranking are illustrated in the provided MS Excel file (i.e.NG-AHP Computations.xlsx). 4. The aggregation computations by Trapezoidal Neutrosophic Weighted Arithmetic Averaging (TNWAA) is shown in the provided MS Excel file.
DOI: 10.17632/2b3nsj9p2k.1
title: Data for: Global patterns of ecologically unequal exchange: implications for sustainability in the 21st century

description: The excel file contains all data used to construct the structural equation models for 2015. This includes data on population, gross national income, biophysical reserves, the technology index, military expenses, net imports of raw material equivalents, embodied energy, land, and labor, and the value added of raw material equivalents exported, as well as that of embodied energy exported, embodied land, and labor.
DOI: 10.17632/m4b97v7myb.1
title: Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry

description: This dataset contains the raw data images, mask files for single cell segmentation, meta data as well as single cell data from the publication "Simultaneous Multiplexed Imaging of mRNA and Proteins with Subcellular Resolution in Breast Cancer Tissue Samples by Mass Cytometry".
DOI: 10.17632/n3gtgm9jxj.3
title: Waste Classification Dataset

description: Cite as: 
Nnamoko, N., Barrowclough, J. and Procter, J. (2022) ‘Solid Waste Image Classification Using Deep Convolutional Neural Network’, Infrastructures, 7(4), p. 47. doi:10.3390/infrastructures7040047
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Data Description
The dataset provides a collection of 24,705 images of solid household waste, categorised into two classes: organic (13,880) and recyclable (10,825) . The data is a restructured and represented version of the original dataset by Sashaank Sekar available at https://www.kaggle.com/techsash/waste-classification-data. The original dataset from Kaggle consists of 25,077 images of organic (13,966) and recyclable (11,111) images. However, performed som clean-up operations explained in the "further note" to reduce the data to 24,705 with (13,880 organic) and (10,825 recyclable) The restructured data has been used in a research study undertaken by academics and researchers at Computer Science Department, Edge Hill University, United Kingdom.

To encourage reproducibility of the experiments and results reported, the modified data; a Jupyter notebook (.ipynb) file useful to apply data augmentation on the dataset; and a Jupyter notebook (.ipynb) file useful to replicate the experiments has been provided.
DOI: 10.17632/tj6zpwpmm6
title: Soil properties of potted plants

description: The pots have four treatments.
DOI: 10.17632/8265mvnfxg.1
title: "Firm Input Choice Under Trade Policy Uncertainty", JIE 2023, Kyle Handley, Nuno Limão, Rodney D. Ludema and Zhi Yu

description: Replication Package for “Firm Input Choice Under Trade Policy Uncertainty” By Kyle Handley , Nuno Limão , Rodney D. Ludema and Zhi Yu November 2023
DOI: 10.17632/gx4nnk3bv3.1
title: Supplement - Ryan et al - JAAD

description: Supplemental methods and results for: Ryan C, Puig L, Zema C, Thompson EHZ, Yang M, Wu E, Bensimon A, Huang X, Joshi AD, Elewski B. The impact of achieving and maintaining near-complete or complete skin clearance on patient quality of life in moderate-to-severe psoriasis. Journal of the American Academy of Dermatology.