cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sjgr3w28n7.2
title: Discrete Choice Experiment data for street-level urban greening in Berlin

description: The data presented here are the outcome of a survey implemented in a Berlin neighborhood from January to March 2018. To begin to put a monetary value on street-level aspects of urban green, we used a discrete choice experiment to explore people’s preferences and willingness to pay for green features in an urban Neighborhood Management development zone in Berlin. An analysis was performed on the survey results using conditional logit and latent class logit models done in R. This dataset is complementary to the full research article, “Economic valuation of street-level urban greening: A case study from an evolving mixed-use area in Berlin” (Fruth et al., 2019). The analysis provided in the full article can be used to guide decision-making regarding urban greening and green building practices at both policy- and project-level, while the dataset available here can be used to provide insight about how our sample population responded and how the experiment could be replicated in context or elsewhere in Berlin. “Deutsch_potsdamer_covariates” = IP address and user comments have been removed to protect respondents’ confidentiality; used in our sociodemographic analysis “Deutsch_potsdamer_experiment_15” = raw choice data from the DCE portion of the German-language survey; used in the logistic regression analysis to establish WTP “English_potsdamer_covariates” = IP address and user comments have been removed to protect respondents’ confidentiality; used in our sociodemographic analysis “English_postdamer_experiment_15” = raw choice data from the DCE portion of the English-language survey; used in the logistic regression analysis to establish WTP “SB_O02-03-00_2013j05_BE” = household income data; source file for the Berlin (parent population) income data points in our sociodemographic analysis “table_2019-07-27_11-28-18” = age/gender/population figures from StatIS-BBB; source file for the Berlin (parent population) age/gender/population data points in our sociodemographic analysis
DOI: 10.17632/yd2ptfykc2.1
title: Rheumatoid arthritis and spondyloarthritis tissue sections

description: Original high resolution Hematoxylin and eosin stained tissue sections from affected Rheumatoid arthritis and spondyloarthritis patients. The sections are overlaid with clusters from heierarchical clustering based on transcriptome profiles collected in spots. Black lines indicate areas with immune cell infiltration annotated manually by an experienced histologist.
DOI: 10.17632/jz56k5wxz7.2
title: Ultimate Arabic News Dataset

description: The Ultimate Arabic News Dataset is a collection of single-label modern Arabic texts that are used in news websites and press articles.

Arabic news data was collected by web scraping techniques from many famous news sites such as Al-Arabiya, Al-Youm Al-Sabea (Youm7), the news published on the Google search engine and other various sources.

- The data we collect consists of two Primary files:

UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words, numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural language processing tasks such as text classification.

UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text classification.

- We have added two folders containing additional detailed datasets:

1- Sample: This folder contains samples of the results of web-scraping techniques for two popular Arab websites in two different news categories, Sports and Politics. this folder contain two datasets:

Sample_Youm7_Politic: An example of news in the "Politic" category collected from the Youm7 website.
Sample_alarabiya_Sport: An example of news in the "Sport" category collected from the Al-Arabiya website.

2- Dataset Versions: This volume contains four different versions of the original data set, from which the appropriate version can be selected for use in text classification techniques.
The first data set (Original) contains the raw data without pre-processing the data in any way, so the number of tokens in the first data set is very high. In the second data set (Original_without_Stop) the data was cleaned, such as removing symbols, numbers, and non-Arabic words, as well as stop words, so the number of symbols is greatly reduced. In the third dataset (Original_with_Stem) the data was cleaned, and text stemming technique was used to remove all additions and suffixes that might affect the accuracy of the results and to obtain the words roots. In the 4th edition of the dataset (Original_Without_Stop_Stem) all preprocessing techniques such as data cleaning, stop word removal and text stemming technique were applied, so we note that the number of tokens in the 4th edition is the lowest among all releases.

- The data is divided into 10 different categories:
Culture, Diverse, Economy, Sport, Politic, Art, Society, Technology, Medical and Religion.
DOI: 10.17632/8cg33hb6zn.1
title: Attributes and criteria for subdivision of carinated items

description: This dataset contains a description of carinated items typology, as was formed based on the lithic analysis of the assemblage from Nahal Rahaf 2 rock shelter (southern Judean Desert, Israel). The set includes a table summarizing the attributes of each type, as well as a scheme presenting associated spalls, maintenance items, and other by-products.
DOI: 10.17632/tm2kzgf3gd.1
title: Data on daily Log returns of the NIFTY 50 index in the National Stock Exchange India

description: Abstract: India is one of the major emerging markets. We report daily log return percentages of the NIFTY 50 index in the National Stock Exchange in India, from the index base date of 3rd November 1995 to 31st March 2018. The NIFTY 50 index is a diversified fifty stock index accounting for twelve sectors of the Indian economy. It is used for a variety of purposes such as bench-marking fund portfolios, index based derivatives and index funds. The daily log returns of an index are the natural logarithms of the ratios of the closing values of the index on consecutive trading days over a certain period of time. The daily log return percentages are simply the log return values multiplied by hundred. The log return data are widely used in empirical finance to assess risk and return on investments, for estimation market risk, back testing of market risk measurement procedures, for modelling volatility and testing efficiency of financial markets. Data Format: The data are reported in twenty three csv spreadsheet files. The first csv file contains log return percentage data from 3rd November 1995 to 31st March 1996 from. The remaining twenty two csv files contain log return percentages from 1st April 1996 to 31st March 2018. Each of the csv files contains date, closing value and log return percentages of the NIFTY 50 during a financial year. The name of the csv file indicates the financial year. Value of the data • To assess risk and return on investments in the Indian equity market. • To estimate and forecast market risk in terms of Value at Risk, Expected Shortfall, Median Shortfall of the NIFTY50 index. • Modelling volatility using GARCH type models. • Testing efficiency of the Indian equity market. • Benchmarking the performance of a portfolio with the NIFTY 50 index. • Estimating the chance of extreme daily returns of the NIFTY 50 index. Some observed empirical properties of the NIFTY 50 log return data. 1. Absence of autocorrelations: (linear) autocorrelations of the daily log returns seem to be insignificant beyond a time lag of one day. i.e. the linear correlation between log returns of the t th and t+h th trading days seems insignificant, for h exceeding 1. 2. Slow decay of autocorrelation in absolute returns: the autocorrelation function of the absolute values of the daily log returns remain positive for time lag upto 30 days. This suggests non linear dependence among the NIFTY 50 daily log return values. 3. The data is Leptokurtic, with extreme daily log returns (exceeding 5 percent in absolute value) present 4. Heavy tails: the (unconditional) distribution of returns seems to display a power-law or Pareto-like tail, with a tail index which is finite, higher than two. However the precise form of the tails is difficult to determine.
DOI: 10.17632/ssny74xv48.1
title: JLW-FM-DB_samples

description: This is a sub database of JLW-FM-DB. It contains 200 signed fingermarks and 200 unsigned fingermarks. Each sub dataset contains 100 genuine fingermarks and 100 fake fingermarks. The fake fingerprint materials include wood glue, conductive silicone, skin color silicone, clear silicone and fingerprint seal.
DOI: 10.17632/zxkg43jsx8.1
title: Mapped drainage ditches in forested landscapes

description: This data contains 1607 km of manually digitized ditch channels from Sweden and high-resolution digital elevation models for the same areas. The data was digitized in 10 regions that were dominated by forests. Each region was selected to achieve a good representation of different landscape properties concerning topography, soil conditions, runoff, land use, and tree species. A compact laser-based system (Leica ALS80-HP-8236) was used to collect LiDAR data from an aircraft flying at 2888 -3000 m. The ALS point clouds have a last and only return density of 1-2 points m-2 and were divided into 55 tiles with the size of 2.5 x 2.5 km each and covering a total of 344 km2. DEMs with 0.5 m resolution were created from the LiDAR point clouds using a tin gridding approach implemented in Whitebox tools 1.4.0 (https://github.com/jblindsay/whitebox-tools).

The data were digitized in a collaboration between the Swedish university of agricultural sciences: https://www.slu.se/ and the Swedish Forest Agency: https://www.skogsstyrelsen.se/
ditchlines.zip contains vector lines of the digitized ditch channels.
vectorfiles.zip contains polygons where the ditches were digitized and the extent of the raster tiles.
rastertiles.zip contains raster tiles with a resolution of 0.5 m covering the same areas.
DOI: 10.17632/cd7vw9cw6m.1
title: Data for: "Drug Cartels, Oil Rents, and Homicide -- the Case of Mexico"

description: This data constitutes several variables drawn from various official Mexican government websites along with dummy variables coded manually testing the interactions between Los Zetas (a ruthless drug cartel), Oil, & whether or not the state is located in the Northern Region and their respective interactions on homicide levels and its variation throughout Mexico's 32 different states. The ranges from 2014-2018.
DOI: 10.17632/khwh8j38zv.1
title: Gratitude model of body appreciation

description: Gratitude. The Gratitude Questionnaire-6 (GQ-6; McCullough, Emmons, & Tsang, 2002) consists of six items that assess experiences and expressions of gratitude in daily life (e.g., “I have so much in life to be grateful for”). Participants indicated agreement with each item using a 7-point scale ranging from 1 (strongly disagree) to 7 (strongly agree). Item scores were reversed where necessary and averaged to arrive at a total score. Contingent self-worth. The Contingencies of Self-Worth Scale (CSW; Crocker, Luhtanen, Cooper, & Bouvrette, 2003) is a 35-item scale that assesses seven different domains in which people can invest their self-worth. Only the 5-item Appearance and the 5-item Approval from Others subscales were used in the present study. Participants indicated agreement with its items (e.g., “When I think I look attractive, I feel good about myself.” “My self-esteem depends on the opinions others hold of me”) using a 7-point scale ranging from 1 (strongly disagree) to 7 (strongly agree). Item responses were averaged, with higher scores reflecting the importance of appearance or the approval of others to participants’ sense of self-worth. Social comparison. Two subscales from the Body, Eating, and Exercise Comparison Orientation Measure (BEECOM; Fitzsimmons-Craft et al.,2012) were used to assess frequency of social comparisons. The Body Comparison subscale (e.g., “I compare my body shape to that of my peers”) and the Eating Comparison subscale (“During meals, I compare what I am eating to what others are eating”) each consist of six items that are rated on a 7-point scale ranging from 1 (never) to 7 (always). Item responses were averaged, with higher scores indicating a greater tendency to make comparisons in the respective domains. Body appreciation. The 13-item Body Appreciation Scale (BAS; Avalos et al., 2005) was used to assess participants’ acceptance of and appreciation for their bodies. Its items (e.g., “I take a positive attitude toward my body”) are rated on a 5-point scale ranging from 1 (never) to 5 (always). Item responses are averaged, with higher scores reflecting greater body appreciation. Intuitive eating. The 21-item Intuitive Eating Scale (IES; Tylka, 2006) was used to assess participants’ tendency to eat intuitively via granting oneself unconditional permission to eat (e.g., “If I am craving a certain food, I allow myself to have it”), eating for physical rather than emotional reasons (e.g., “I use food to help me soothe my negative emotions”; reverse-scored), and relying on internal hunger and satiety cues (e.g., “I trust my body to tell me how much to eat”). Items are rated on a 5-point scale ranging from 1 (strongly disagree) to 5 (strongly agree). Scores were reversed where necessary and averaged to create a total score, with higher scores indicating higher levels of intuitive eating.
DOI: 10.17632/yf4vcxy469.1
title: An evolutionarily conserved function of polycomb silences the MHC class I antigen presentation pathway and enables immune evasion in cancer

description: Source data: Western blot scans to accompany Burr et al., An Evolutionarily Conserved Function of Polycomb Silences the MHC Class I Antigen Presentation Pathway and Enables Immune Evasion in Cancer, Cancer Cell (2019), https://doi.org/10.1016/j.ccell.2019.08.008
DOI: 10.17632/fcgm3chfff.1
title: Data repository for Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics. Part 1 of 3

description: Part 1/3 of the dataset for "Camargo, et. al. A comprehensive, open-source dataset of lower limb biomechanics in multiple conditions of stairs, ramps, and level-ground ambulation and transitions." Dataset linked from: https://doi.org/10.1016/j.jbiomech.2021.110320 (2021-02-24)
DOI: 10.17632/bn97jm6bng.3
title: Bound by Ancestors: Immigration, Credit Frictions, and Global Supply Chain Formation

description: Replication package for Choi, Jaerim; Hyun, Jay; Park, Ziho. "Bound by Ancestors: Immigration, Credit Frictions, and Global Supply Chain Formation," Journal of International Economics.
DOI: 10.17632/trghs22fpg.4
title: A Composite Retinal Fundus and OCT Dataset with Detailed Clinical Markings of Retinal Layers and Retinal Lesions to Grade Macular and Glaucomatous Disorders

description: This repository contains composite retinal fundus and OCT dataset for analyzing retinal layers, retinal lesions, and to diagnose normal and abnormal retinal diseases like Centrally Involved Diabetic Macular Edema, Acute Central Serous Retinopathy (CSR), Chronic CSR, Geographic Age-related Macular Degeneration (AMD), Neovascular AMD, and Glaucoma. 

Please cite the following papers if you want to use any part of this dataset:
1) T. Hassan, M. U. Akram, M. F. Masood, U. Yasin, “Deep structure tensor graph search framework for automated extraction and characterization of retinal layers and fluid pathology in retinal SD-OCT scans”, Computers in Biology and Medicine, December 2018.
2) T. Hassan, M. U. Akram, N. Werghi, and N. Nazir, “RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology,” IEEE Journal of Biomedical and Health Informatics, March 2020.
DOI: 10.17632/nkdr5sn88s.1
title: Healthcare Expat adjustment in Qatar

description: The study hypothesized that several factors significantly influence expatriate adjustment in Qatar's healthcare sector, affecting job satisfaction and patient care quality. This was supported by a survey of 385 healthcare workers in Qatar, conducted from October to December 2022. Using a 5-point Likert scale, the survey assessed expatriate experiences in adjustment and social support.

Key findings include:

Gender and Adjustment: Females adjusted better, with 35.2% rating themselves as 'Extremely Adjusted', compared to 28.7% of males.
Age Factor: The 35-44 age group showed the highest adjustment levels, with 36.4% in the 'Extremely Adjusted' category.
Language Proficiency: Arabic fluency correlated positively with adjustment; 27.4% fluent speakers were 'Extremely Adjusted'.
Social Support's Role: A critical factor, the absence of social support was linked to poor adjustment.
The survey provided insights into the complex nature of expatriate adjustment, encompassing not just professional adaptation but also cultural and social integration. The distinct adjustment patterns among demographics like females and those aged 35-44 indicate the effectiveness of targeted interventions.
The significance of social support and language skills highlights the need for programs fostering cultural assimilation and language learning. These insights are crucial for healthcare administrators and policymakers in Qatar, offering a basis for creating strategies to improve expatriate adjustment. Focusing on gender, age, language skills, and social support can lead to more effective policy interventions, enhancing expatriates' integration into the healthcare system, improving job satisfaction, and elevating patient care standards in Qatar
DOI: 10.17632/kgy9fz4w9m.1
title: Carbon Credit & Macaúba Palm Tree: Advancing ESG in Green Cattle Production

description: Data associated with the carbon credit and macaúba case study.
DOI: 10.17632/tpgn86kc6b.1
title: Start from Organics: Data for Multiple Linear Regression

description: This paper analyses whether they hold true for EU capitals overall by testing the hypothesis that door-to-door biowaste collection is more effective compared to other types of waste collection systems in increasing not only sorting of biowaste, but also of other dry recyclables (glass, metal, plastic). The "Extended-data.xlsx" file contains data on separate collection in the EU-28 capital cities (pre-Brexit) based on a report by BiPRO, a number of additionally derived indicators and control variables that form the basis of the analysis. The file has several tabs/spreadsheets each one including references to corresponding data sources. The "R-data.csv" file contains the dataset used in R-Studio to calculate Multiple Linear Regressions presented in the paper.
DOI: 10.17632/vz6z9bkp44.1
title: Sailfish: A flexible multi-GPU implementation of the lattice Boltzmann method

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present Sailfish, an open source fluid simulation package implementing the lattice Boltzmann method (LBM) on modern Graphics Processing Units (GPUs) using CUDA/OpenCL. We take a novel approach to GPU code implementation and use run-time code generation techniques and a high level programming language (Python) to achieve state of the art performance, while allowing easy experimentation with different LBM models and tuning for various types of hardware. We discuss the general design principl... Title of program: Sailfish Catalogue Id: AETA_v1_0 Nature of problem GPU-accelerated simulation of single- and multi-component fluid flows. Versions of this program held in the CPC repository in Mendeley Data AETA_v1_0; Sailfish; 10.1016/j.cpc.2014.04.018
DOI: 10.17632/7h2nhrypmm.1
title: Dataset of socio-economic, water quality, and hygiene factors in four rural communities of Cundinamarca, Colombia

description: This dataset contains the results of surveys conducted in four rural communities in the Cundinamarca department of Colombia. The surveys collected information on socio-economic conditions, water supply, and hygiene and basic sanitation conditions. Additionally, physical-chemical and microbiological data were collected from water samples taken from households and the distribution network in the study area. The dataset includes information on the community, household, water source, and laboratory analysis results. This data is valuable for researchers and policymakers working in the fields of water and sanitation, public health, and environmental science in the rural communities of Cundinamarca.
DOI: 10.17632/d55sc54f8g
title: Colder fluids study

description: Research data for the article: 10° Compared to 22° Celsius Cold Fluid Bolus does not affect Hemostasis in Healthy Adults – A Randomized Crossover Trial including data for thromboelastometry, temperature, hemostatic markers and platelet activation
DOI: 10.17632/v42jh4nfzh.1
title: User_stories_dataset (Effort estimation)

description: Agile user stories dataset for effort estimation
DOI: 10.17632/3c2s2j9srf.1
title: Data for: Evaluation of consolidation parameter data trendings and comparison between prediction models for seismic velocities: a case study from the Namorado Oilfield (Southern Brazil)

description: References used for article
DOI: 10.17632/fgw2v8wbrk.1
title: Piso radiante de hormigón con agua encapsulada y recirculación autónoma, primeros avances

description: Se presentan los avances en el desarrollo de un nuevo sistema calefactor de piso radiante. El mismo de basa en un piso de hormigón que posee en su interior agua encapsulada en botellas de plástico. El calentamiento del piso se realiza a través de circulación de agua caliente por un espiral de manguera de PEBD que también está incrustado en el hormigón. El hormigón y el agua encapsulada conforman una masa térmica de acumulación por calor sensible. Este piso radiante fue diseñado para que opere totalmente autónomo de la red (gas o electricidad). El calentamiento es a través de colectores solares térmicos, que pueden ser autoconstruidos, y la impulsión del agua recirculante es por una bomba energizada por un panel fotovoltaico de muy baja potencia. Conformándose un sistema automatizado simple y económico. Para evaluar la factibilidad de la idea se armó un piso prototipo de menor área 1 m x 1m x 0,15 m. Usándose una relación de volúmenes de agua encapsulada y hormigón Va/VH=0,33. Como característica básica de diseño se buscó que en invierno la superficie del piso se mantenga en el rango higrotérmico de 18°C a 29 °C. Esto pudo lograrse utilizando una relación de 0,5 m2 de superficie de colección solar/m2 de piso radiante.
DOI: 10.17632/kgwsthf2w6.5
title: Pomegranate Images Dataset

description: The dataset consists of images capturing various growth stages of pomegranates. The images were collected from May to September in an orchard located within the Henan Institute of Science and Technology in China. There are a total of 5857 images in the dataset, and each image is labeled and classified into one of five periods: bud, flower, early-fruit, mid-growth, and ripe.
The dataset was curated and hosted by the School of Computer Science and Technology at Henan University of Science and Technology, in collaboration with researchers from the Artificial Light Plant Factory at the same university. The purpose of creating this dataset is to support the development of computer applications that utilize machine learning and computer vision algorithms. By studying the different growth stages of pomegranates, researchers can effectively monitor the condition of each growth stage and enable early detection of any abnormal growth conditions. This early detection can be beneficial for farmers, as it can help them minimize economic losses.