cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4f234mww6s.2
title: Climate Change Adaptation Innovation in the Water Sector in Africa: Dataset

description: Our data comprises of socioeconomic and sociopolitical indicators for African countries drawn from three credible sources. These indicators include patents as proxy for technological innovation; research and development activity; water stress; quality of institutions; education as proxy for absorptive capacity for innovation; trade openness as proxy for technology transmission mechanism; and income per capita as proxy for size. 

Consistent with the theory, data and literature, we use water-related climate change adaptation technological developments to examine the degree to which the vulnerability to climate change in the water sector is motivating these innovations. Using the pooled data for African countries between 1990 and 2016, we estimate the relationship between climate-induced vulnerability in the water sector and water-related innovations, controlling for country size and proxies for technology transfer environment, institutional and regulatory quality, knowledge base, and research and development activity.

We find evidence that countries most exposed to water stress are innovating at lower rates. Though counterintuitive, this result is explained by the fact that such vulnerable countries also tend to have little research and development infrastructure needed to develop the kind of high quality innovations that usually necessitates patenting. Our result suggests that African countries experiencing water stress may need to reconsider priorities in the design of water-related adaptation to climate change. We also find that a country’s knowledge base and openness to trade are important determinants of adaptation technologies in the water sector
DOI: 10.17632/tf5twb54by.2
title: RAW data for compression testing of all the sample

description: RAW data of the uniaxial compression test of all the samples of the lattice structure.
DOI: 10.17632/pxjmjyfdh2.1
title: The RHMCD-20 datasets for Depression and Mental Health Data Analysis with Machine Learning

description: the RHMCD-20 dataset, we took care to include information from a wide range of sources, including teenagers from Bangladesh, college students, housewives, professionals from
businesses and corporations, and other people.This is survey data for Depression and Mental Health Data Analysis.
Survey questions : 
Age: Represents the age of the participants.
Gender: Indicates the gender of the participants.
Occupation: Represents the participant's occupations.
Days_Indoors :Indicates the number of days the participant has not been out of the house
Growing_Stress: Indicates the participant's stress is increasing day by day (Yes/No).
Quarantine_Frustration: Frustrations in the first two weeks of quarantine (Yes/Maybe/No).
Changes_Habits: Represents major changes in eating habits and sleeping (Yes/Maybe/No).
Mental_Health_History : A precedent of mental disorders in the previous generation (Yes/No).
Weight_Change :Highlights changes in body weight during quarantine (Yes/Maybe/No)
Mood_Swings: Represents extreme mood changes (Low/Medium/High).
Coping_Struggles: The inability to cope with daily problems or stress (Yes/Maybe/No).
Work_Interest :Represents whether the participant is losing interest in working (Yes/No).
Social_Weakness :Conveys feeling mentally weak when interacting with others (Yes/No).
DOI: 10.17632/djj5s5nyxc.2
title: Supplemental Materials for Stein Gold et al. Efficacy and Safety of Apremilast in Patients with Mild to Moderate Plaque Psoriasis: Results of a Phase 3, Multicenter, Randomized, Double-blind, Placebo-controlled Trial. J Am Acad Dermatol. 2021.

description: Mendeley Supplemental Figures and Table for Stein Gold et al. Efficacy and Safety of Apremilast in Patients with Mild to Moderate Plaque Psoriasis: Results of a Phase 3, Multicenter, Randomized, Double-blind, Placebo-controlled Trial. J Am Acad Dermatol. 2021.
DOI: 10.17632/zzx9kxsrp4.1
title: Numerical simulation code for self-gravitating Bose–Einstein condensates

description: Abstract We completed the development of simulation code that is designed to study the behavior of a conjectured dark matter galactic halo that is in the form of a Bose-Einstein Condensate (BEC). The BEC is described by the Gross-Pitaevskii equation, which can be solved numerically using the Crank-Nicholson method. The gravitational potential, in turn, is described by Poisson's equation, that can be solved using the relaxation method. Our code combines these two methods to study the time evolution of ... Title of program: bec3p Catalogue Id: AEOR_v1_0 Nature of problem Simulation of a self-gravitating Bose-Einstein condensate by simultaneous solution of the Gross-Pitaevskii and Poisson equations in three dimensions. Versions of this program held in the CPC repository in Mendeley Data AEOR_v1_0; bec3p; 10.1016/j.cpc.2012.12.024 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/y27fngtkdw.1
title: DMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various density functional theory packages

description: Dynamical Mean Field Theory (DMFT) is a successful method to compute the electronic structure of strongly correlated materials, especially when it is combined with density functional theory (DFT). Here, we present an open-source computational package (and a library) combining DMFT with various DFT codes interfaced through the Wannier90 package. The correlated subspace is expanded as a linear combination of Wannier functions introduced in the DMFT approach as local orbitals. In particular, we provide a library mode for computing the DMFT density matrix. This library can be linked and then internally called from any DFT package, assuming that a set of localized orbitals can be generated in the correlated subspace. The existence of this library allows developers of other DFT codes to interface with our package and achieve the charge-self-consistency within DFT+DMFT loops. To test and check our implementation, we computed the density of states and the band structure of well-known solid-state correlated materials, namely LaNiO_3, SrVO_3, and NiO. The obtained results are compared to those obtained from other DFT+DMFT implementations.
DOI: 10.17632/6nrvvkbyfv.1
title: Data for Hydrological Modeling: A case of Pınarbaşı Karst Spring (Seydişehir, Turkey)

description: This dataset includes: 
* The shapefiles of the Susuz karst aquifer (Seydişehir, Turkey). 
* Daily mean discharge of Pınarbaşı karst spring. 
* MODIS daily snow covered-area time series (processed for the catchment). 
* Daily total precipitation data of the surrounding weather stations.
* Daily mean air temperature data of the surrounding weather stations. 

The coordinates of the meteorological stations can be found in the "All_data.xlsx" file. 

All rigths of the "daily total precipitation", and "daily mean air temperature" data are belong to the "Turkish State Meteorological Service".
DOI: 10.17632/32tbhgdppn.1
title: Willingness to Pay for Improved Electricity Service in Nigeria

description: The data was gathered with the aid of a well-structured questionnaire administered within the cities of Abuja, Ibadan, Port Harcourt and Lagos in Nigeria. The data comprised of three thematic areas. First is the social economic characteristics of the household. Secondly, the nature of the quality electricity supply and how it affects households’ welfare. In the third section, a hypothetical scenario of an improved electricity system that conforms to all the dimensions of quality electricity supply was created. Respondents were asked to state the maximum amount they were willing to pay for such an improved quality of electricity supply system. The CVM elicitation format that was employed in the study was the discrete choice with a follow-up approach. A first bid was proposed to each respondent. If the respondent agrees to pay that amount, a higher amount was proposed. If he agrees to that, a third amount, higher than the second was further proposed. If he declined to pay the first bid, the follow up bid proposed to the respondent was lower. After going through the follow up process, all respondents were asked to state after careful thoughts what their maximum WTP for the improved electricity service would be. The amounts each respondent states here were compared to the responses from the follow up process to check for consistency. The Ordered-Probit Model was employed as the main estimation technique for the study. The model estimated using the Ordered Probit regression was: WTP = β1 HSZ + β2 HY + β3 EDL + β4 REL + β5 CRR + β6 CAP + β7 MO + ε The model investigates the factors that influence consumers’ willingness to pay (WTP) for the improved electricity service in the study area. In the model, the outcome variable is WTP (coded 1, 2; 1 being N41 – N55 and 2 being Above N55) which is an ordered categorical variable. The variables used as predictors are Household Size (HSZ), Monthly Outages (MO) - which are continuous variables, Household Monthly Income (HY), Highest Educational Level (EDL), Reliability of Current Supply (REL), Cost incurred in damage of appliances (CRR) and Cost of Alternative Power Supply (CAP) - which are categorical variables. However, it should be stated that ‘n-1’ (n being the number of categories) dummies were created for each of the categorical variables in the model. The reference category for Household Monthly Income is Below N51,000, Highest Educational Level is no formal education, Reliability of Current Supply is Excellent, Cost of Damage is Below N2,000.00 and Cost of Alternative Supply is Below N2,000. The models were estimated separately for each of the enumerated cities and full sample for easy comparison. Microsoft Excel and the STATA statistical package was used in analyzing the collected data.
DOI: 10.17632/3p2w6ggbd3.1
title: Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete

description: The file presents data points used for training and testing ML methods of the paper "Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete", which was published in Engineering Applications of Artificial Intelligence. Please check the paper for more details of the references used to gather those data points.
DOI: 10.17632/9y5vh52pss.1
title: Data for: Global Factors and Trend Inflation

description: Replication files and data for Kamber and Wong, "Global Factors and Trend Inflation," Journal of International Economics.
DOI: 10.17632/zs2vnf9692.2
title: FaceID-550

description: The demands and application of face recognition are growing quickly in recent years due to the development of advances technology. One of the most challenging tasks of face recognition is to be recognized the facial image with limited training samples (a few or single image per person). This real-world problem can be seen in access control, physical security and international border control. In order to provide a new benchmark facial dataset for this issue, the FACEID-550 dataset is constructed (the full dataset is available from: http://dx.doi.org/10.17632/zs2vnf9692.2). Itcontains total 11,550 color images (256 × 256 pixels) of 550 subjects. Each person has one ID photo and twenty daily (or selfie) photos.
DOI: 10.17632/g33bhs9f2y.2
title: Dung beetle assemblages within Amazonian selectively logged forests

description: This dataset results from the MSc research in Applied Ecology, entitled "Selective logging in Amazonian forests: post-logging recovery in dung beetle communities", by Filipe França at the Federal University of Lavras. It includes data on [1] dung beetle species richness, abundances and biomass; [2] dung beetle-mediated ecological processes of dung removal, seed dispersal and soil bioturbation; and [3] environmental conditions related to canopy openness, soil texture (sand, silt and clay content), and disturbance intensity (number of trees and volume of timber removed). Datasets were surveyed using a space-for-time experimental design, between January and March 2010, across 49 10-ha logging management units distributed along a gradient of selective logging intensities within two areas (Bituba and Gueti) in the Jari region of the Brazilian Amazon, state of Pará. Surveyed areas had different times since logging: Bituba was managed in 2005 and Gueti in 2009, with logging intensities varying between 0-76 and 0-55 trees removed, and 0-643 and 0-669 timber volume (m3/10ha), respectively.
We followed the harvest operational plans of the timber concession, which adopts 250×400m logging management units, to establish six sampling points spaced 100m apart in a 2×3 rectangular grid and around 75 m from the unit edges. We sampled dung beetles using baited pitfall traps (40g of dung; 19 cm width, 11 cm depth; 1 trap/sampling point, 6 traps/unit). We surveyed ecological processes using two 1-m diameter mesocosm arenas placed at the middle sampling points of the rectangular grid 24h before installing pitfall traps. Each arena was a circular plot delimited by a 15-cm high nylon net fence (area of ~0.79m2) and received a single 200-g experimental dung deposit mixed with seed mimics of three sizes: 10 large (15.5-mm diameter), 20 medium (8.6-mm) and 50 small (3.5-mm). All dung used had a 4:1 pig to human ratio to increase attractiveness and allow enough baits to carry out all field experiments. After 24h of exposure, we weighted the remaining dung and the loose soil found above the soil surface (if present) to assess rates of dung removal and soil bioturbation. Rates of seed dispersal are based on the difference between total seed mimics placed in each dung deposit and the number of seed mimics found in the remaining dung (when present).  At each sampling point, we took a (1) soil sample (up to 10cm depth) and (2) hemispherical photograph using a Nikon FC-E8 fisheye lens attached to a Nikon D40 camera levelled ∼1.20m from the ground. We formed a composite soil sample to represent the soil granulometry (clay, silt, fine sand, and coarse sand; g/Kg) within each sample unit, which was analysed in the soil laboratory of Jari Celulose S.A. We used the Gap Analyser software to estimate the canopy openness (%), which represents the total open area of the hemispherical photographs. For further details, please see related links and 'README'  in the attached spreadsheet.
DOI: 10.17632/nmpxc6ffh4.1
title: Movie reviews (comment + rating) for 10 movies gathered from IMDB website

description: We have created manually 10 datasets for 10 different movies, each one contains 100 reviews (comment + rating) randomly extracted and we made sure that the datasets are representatives based on IMDB users weighted average vote. For each movie, we have created 100 files named from 1 to 100, each one of them contains an opinion toward the target movie. expressed in natural language (ENG). Furthermore, we have created a file named "rating.txt" that contains an arrray of numbers, each number repsresents the rating (numeric scale) attached to a specific opinion toward the target movie. This is what the rating file looks like: rating = [ 9 , 10 , 3 ,...................] Interpretation : The user that posted the review stored in "1.txt" file has given a 9/10 as rating to the target movie. The user that posted the review stored in "2.txt" file has given a 10/10 as rating to the target movie. The user that posted the review stored in "3.txt" file has given a 3/10 as rating to the target movie.
DOI: 10.17632/4dv53x925y.2
title: Third molar size predictive model (and associated dataset)

description: This model and its associated dataset is based on computed tomography data from 323 molar regions of a multiethnic group of 99 Western Canadian dental patients. This model was created for the following main purpose: to determine whether third molar (M3) crown size* can be accurately and significantly estimated based upon the crown size* of its adjacent predecessors: the first and the second molars (M1 and M2, respectivelly). Our results showed that the crown size of M1 and M2 are reliable predictors for the crown size of the adjacent M3. * Crown size: refers to the mesiodistal length of the crown.
DOI: 10.17632/r3hh2hf29k.1
title: International Input-Output Linkages and Changing Business Cycle Volatility

description: Replication materials for "International Input-Output Linkages and Changing Business Cycle Volatility"
DOI: 10.17632/8ttnxy2z5m.1
title: Personality traits and Conflict resolution styles: A meta-analysis dataset

description: This meta-analysis aimed to address the association between personality traits and conflict handling styles. ProQuest, PsycINFO, Scopus, and Web of Science and also Microsoft Academic, Science.gov, Science open were searched for all published and non-published studies through 17 October 2018. A literature search located 20 eligible studies, and 5337 total participants. The primary hypotheses of this meta-analysis were framed based on the literature as follows: Hypothesis 1: Neuroticism, agreeableness, and extroversion will be positively related to avoiding style and openness to experience, and conscientiousness will be negatively related to avoiding style. Hypothesis 2: Neuroticism, agreeableness, extroversion, openness to experience, and conscientiousness will be positively related to compromising style. Hypothesis 3: Neuroticism, extroversion, openness to experience, and conscientiousness will be positively related to dominating style and agreeableness will be negatively related to dominating style. Hypothesis 4: Neuroticism, agreeableness, extroversion, openness to experience, and conscientiousness will be positively related to obliging style. Hypothesis 5: Agreeableness, extroversion, openness to experience, and conscientiousness will be positively related to integrating style and neuroticism will be negatively related to integrating style. The secondary hypothesis of this meta-analysis seeks to explain the variation of above mentioned hypothesis according to study setting and personality measures. The results of this review show that neuroticism and agreeableness are positively related to avoiding style. The positive associations are observed between agreeableness, extroversion, openness to experience, and conscientiousness with compromising style. There exist positive and negative relations between extroversion and agreeableness with dominating style, respectively. A positive link is identified between agreeableness and obliging style. Finally, agreeableness, extroversion, openness to experience, and conscientiousness are positively correlated with integrating style and neuroticism is negatively related to integrating style. The findings of moderator analysis indicate that there is a different pattern between work and academic settings concerning the relationship between agreeableness with compromising. Similarly, the results of the academic setting yielded the different populations as the work setting when it comes to the link between neuroticism and compromising style. To identify the robustness of findings and probable small study effect, we employed the trim and fill method (Duval & Tweedie, 2000) , file drawer analysis (Rosenthal, 1979) , Begg's rank test (Begg & Mazumdar, 1994) and Egger's linear regression test (Egger, Smith, Schneider, & Minder, 1997). the results of publication bias show that small-study effects are negligible.
DOI: 10.17632/h5dx97kw3g.1
title: Performance Analysis

description: This data used for Performance Analysis Paper.
DOI: 10.17632/jw5bgshtvg.1
title: Mozilla browser front-end software requirements and test scripts dataset

description: This dataset is compiled from various software tests written by the Mozilla Front-End QA team for the areas of the Mozilla browser with which users directly interact.
R-set file is composed of 184 software requirements with RequirementID (R-XYZ) and RequirementContent columns. 
T-set file contains the corresponding test scripts with TestCaseID (TC-XYZ) and TestCaseContent columns, e.g., TC-XYZ to R-XYZ. Each test case content includes the following information: Initial Conditions (if any), Steps/Description, Expected Results.
This dataset can be used for any software requirement and test case coverage/traceability studies.

Link to raw data source: https://www-archive.mozilla.org/quality/browser/front-end/
DOI: 10.17632/zr75dtydsf.1
title: Mental health in working contexts: Reflections on public policy and its implementation in the Colombian context.

description: Mental health is defined by the WHO (2013) as a state of well-being in which the individual is aware of his or her own capabilities and can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community Thus, numerous studies have demonstrated the relationship between psychosocial conditions at work and the mental health of workers, showing that mental disorders such as anxiety and depression have a very negative effect on quality of life and functional capacity at work. Therefore, the importance of detecting, preventing, diagnosing and intervening in work contexts to promote mental health from the workplace, generating the reinstatement of employees with mental disorders, is highlighted. In addition, attention to these problems is considered a fundamental right, which is the right to health (in a comprehensive manner, i.e., including mental health).
DOI: 10.17632/sstdmfyt6h.1
title: Data file associated with the biogeochemical response to a cyclonic eddy in the subtropical Northwest Pacific Ocean

description: The following supplementary dataset consists of information of physical, chemical, phytoplankton pigments, biological productivity, zooplankton, and particle response to a cyclonic eddy in the subtropical Northwest Pacific Ocean.
DOI: 10.17632/mfv9ypfkdh.1
title: Data for: Determining and mapping the spatial mismatch between soil and rice Cd pollution based on a decision tree model

description: The paper constructs the basic data of the model
DOI: 10.17632/yp3txzw64c.1
title: Cell atlas of the regenerating human liver after portal vein embolization

description: Processed single-cell and single-nucleus RNA-seq data for "Cell atlas of the regenerating human liver after portal vein embolization". Original in https://www.biorxiv.org/content/10.1101/2021.06.03.444016v1. Data is deposited as RDS files, RData, and a csv file. The RDS/RData contain Seurat v3 objects. Full list of author contributions can be found in the associated manuscript. Brief description of data files: - allcells_css_annot.rds - Seurat containing all cells (scRNA-seq), along with various annotations (see figs 2 and 5 in the associated manuscript). - hep_zonation_metadata.csv - Table in csv format containing inferred zonation values for hepatocytes. Can be combined with hepatocytes from the previous file. - endothelial_cells_annot.rds - Seurat containing only the endothelial cells, and including more annotation of those populations (see fig 4 in the associated manuscript). - frozen_tissue_dataset.rdata - Seurat containing all nuclei (snRNA-seq) and corresponding annotations (see fig 1 of the associated manuscript)
DOI: 10.17632/56r765j6ts.1
title: Preparation and characterization of a novel magnetic molecularly imprinted polymer (Fe3O4@SiO2@MPS) capable of isolating and purifying cordycepin

description: The raw data of the paper. (Preparation and characterization of a novel magnetic molecularly imprinted polymer capable of isolating and purifying cordycepin) Including TEM,TG,VSM,XRD,FT-IR and HPLC data.
DOI: 10.17632/9pxwb9f3fy.1
title: Social Media Experiment

description: The research investigates how companies using brand communities on Facebook influence consumers’ intention to purchase through online interactivity, responsiveness, and personalization. In an online experiment, participants viewed selected records of communication with customers from companies on Facebook pages that differed as to whether and how specifically the companies responded to their consumers.