cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xbn5k9fgff.1
title: Baricitinib in patients with moderate-to-severe atopic dermatitis: Results from a randomized monotherapy Phase 3 trial in the United States and Canada (BREEZE-AD5) - Supplement

description: Background: Baricitinib, an oral, selective Janus kinase (JAK)1/JAK2 inhibitor, is being studied for moderate-to-severe atopic dermatitis (AD) in adults. Objective: To evaluate the efficacy and safety of baricitinib monotherapy in a North American Phase 3 trial (BREEZE-AD5/NCT03435081) of adults with moderate-to-severe AD who responded inadequately or were intolerant to topical therapy. Methods: Patients (N=440) were randomized 1:1:1 to once-daily placebo or baricitinib (1 mg or 2 mg). The primary endpoint was the proportion of patients achieving ≥75% reduction in the Eczema Area and Severity Index (EASI75) at Week 16. A key secondary endpoint was the proportion of patients achieving a validated Investigator Global Assessment for AD (vIGA-AD™) score of 0 (clear)/1(almost clear) with ≥2-point improvement. Results: At Week 16, the proportion of patients achieving EASI75 was 8%, 13%, and 30% (P
DOI: 10.5061/dryad.bnzs7h482
title: Using machine learning models to predict the distribution of a cryptic marine species: the sperm whale

description: Implementation of effective conservation planning relies on a robust
 understanding of the spatio-temporal distribution of the target species.
 In the marine realm, this is even more challenging for cryptic species
 with extreme diving behaviour like the sperm whales. Our study aims at
 investigating the movements and predicting suitable habitat maps for this
 species in the Mascarene Archipelago in the South-West Indian Ocean. Using
 21 satellite tracks of sperm whale and 8 environmental predictors, 14
 supervised machine learning algorithms were tested and compared to predict
 the whales’ distribution during the wet and dry season, separately.
 Fourteen of the whales remained in close proximity to Mauritius while a
 migratory pattern was evidenced with a synchronized departure for 8
 females that headed towards Rodrigues Island. The best performing
 algorithm was the random forest, showing a strong affinity for Sea Surface
 Height during the wet season and for bottom temperature during the dry
 season. A more dispersed distribution was predicted during the wet season
 whereas a more restricted distribution to Mauritius and Reunion waters was
 found during the dry season. The results of our study fill a knowledge gap
 regarding seasonal movements and habitat affinities of this vulnerable
 species, for which IUCN regional assessments are still lacking in the
 Indian Ocean. Our findings also confirm the great potential of machine
 learning algorithms in conservation planning and provide concrete tools to
 support dynamic ocean management.
DOI: 10.17632/74nghs4z9n.1
title: Long term financing: Stata Codes for Quantitative Analysis

description: Stata Codes for Quantitative Analysis
DOI: 10.17632/86x5h37gtv.4
title: Data of tools for modelling energy systems

description: In recent years, there has been continuous growth in the development and use of energy modelling tools for exploring and defining strategies that could allow a smooth transition towards decarbonised and sustainable energy systems. These models are required in order to quantify the impacts of this transition and define potential pathways due to the complexity of the interactions between different energy vectors, including renewable energy sources and their intermittency. This information can be used by the scientific community, policymakers, and modellers interested in national or local energy planning. The data presented here describe 62 energy modelling tools and their classification according to different criteria defined by the authors. It was collected from the literature through a systematic review (PRISMA). It includes a description and classification of the most commonly used energy modelling tools according to the following categories: general purposes, specific purposes, analytical approach, underlying methodology, mathematical approach, geographical coverage, time horizon, time resolution, sector coverage, renewable technologies, modelling tool accessibility and appearance in literature.
DOI: 10.17632/cb8d2nsjss.1
title: Facility Management Unified Classification Database (FMUCD)

description: Historical building maintenance data were collected from twelve universities in the United States (U.S.) and Canada, spanning from the year 2002 to 2021, with a particular focus on Planned Preventive Maintenance (PPM) and Unplanned Maintenance (UPM). The collected data underwent pre-processing and organization based on the Facility Management Unified Classification Code (FMUCO), which was developed to classify heterogeneous building maintenance data. The resulting dataset, 'Facility Management Unified Classification Database (FMUCD),' comprises nine attribute groups (university, building, system, subsystem, component, work order, work order cost, work order labor, and weather) and their corresponding data attributes. The dataset aims to provide insights into (1) the current status of building management for campus-sized institutions and (2) support data-driven analyses of facility management.
DOI: 10.17632/8gx2fvg2k6.5
title: DataCo SMART SUPPLY CHAIN FOR BIG DATA ANALYSIS

description: A DataSet of Supply Chains used by the company DataCo Global was used for the analysis. Dataset of Supply Chain , which allows the use of Machine Learning Algorithms and R Software. Areas of important registered activities : Provisioning , Production , Sales , Commercial Distribution.It also allows the correlation of Structured Data with Unstructured Data for knowledge generation. Type Data : Structured Data : DataCoSupplyChainDataset.csv Unstructured Data : tokenized_access_logs.csv (Clickstream) Types of Products : Clothing , Sports , and Electronic Supplies Additionally it is attached in another file called DescriptionDataCoSupplyChain.csv, the description of each of the variables of the DataCoSupplyChainDatasetc.csv.
DOI: 10.17632/7tvtbgjpdm.1
title: Comparing the performance of LDA and GGA in AlAs

description: Data for reproducing the results of the study "Comparing the performance of LDA and GGA functionals in predicting the lattice thermal conductivity of semiconductor materials: the case of AlAs". They are divided in PBE and LDA, according to the exchange-correlation functional that was used to obtain them.
DOI: 10.17632/gxxnmgcfnd.1
title: Data for: Age as a Risk Factor of COVID-19 Mortality in the Philippines

description: Excel dataset with the following columns: Case No., Age, Sex, Nationality, Status, Transmission. Data were extracted from https://endcov.ph/cases/
DOI: 10.17632/xsvp45cbt4.2
title: HanDeSeT: Hansard Debates with Sentiment Tags

description: A corpus of Hansard UK Parliament Debates for use in the evaluation of sentiment analysis systems. The corpus consists of 1251 motion-speech units taken from 129 separate debates from the UK House of Commons 1997-2017. Each unit comprises a parliamentary speech of up to five utterances and an associated debate motion. Debates comprise between one and 30 speeches, and speeches range in length from 31 to 1049 words, with a mean of 167.8 words. The debates cover a two decade period from 1997 to 2017 and a wide range of topics from domestic and foreign affairs to procedural matters concerning the running of the House. Each motion has two sentiment polarity labels: 1. A manually applied sentiment polarity label ; and 2. A label derived from the relationship of the MP who proses the motion to the Government. Each speech has two sentiment polarity labels: 1. A speaker-vote label extracted from the division associated with the corresponding debate; and: 2. A manually assigned label. In addition, the following metadata is included with each unit: debate id, speaker party affiliation, motion party affiliation, speaker name, and speaker rebellion rate. Manually applied motion labels are approximately evenly balanced; the other labels are slightly skewed towards the positive class. Hansard transcript data is used under the Open Parliament Licence V3.0. Data regarding speaker rebellion rates is taken from the Public Whip, and used under the Open Data Commons Open Database License (ODbL).
DOI: 10.15468/dl.7rrxt9
title: Occurrence Download

description: A dataset containing 1606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus mugo Turra",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1606 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009224-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kj58zkdmt7.1
title: qwViz: Visualisation of quantum walks on graphs

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract qwViz is a software package for interactive visualisation of the time-evolution of quantum walks on arbitrarily complex graphs. The package is written in C and uses OpenGL to generate graphics in real-time. The qwViz package can be used to directly simulate discrete-time quantum walks on undirected graphs when provided with the adjacency matrix of the graph. For more detailed studies, qwViz can also be used to visualise externally generated quantum walk data written in an XML-based file forma... Title of program: qwViz Catalogue Id: AEJN_v1_0 Nature of problem Simulation and visualisation of quantum walks on arbitrarily complex undirected graphs Versions of this program held in the CPC repository in Mendeley Data AEJN_v1_0; qwViz; 10.1016/j.cpc.2011.06.002
DOI: 10.17632/zrn4kpx247.1
title: The impact of internet addiction on eating behaviors of college students- A community study-Raw Data

description: The data collected at Yeditepe University and represent the social media and internet addiction, and eating disorders of 509 undergraduate students. Data collected via face-to-face interview and online questionnaire methods. The authors aimed to determine the possible relationship between internet/social media addiction and eating disorders among university students.
DOI: 10.17632/znmk58zpnw.1
title: STL file according to ASTM D638 for type IV tensile specimen

description: STL file for the tensile test specimens according to ASTM D638 for type IV tensile specimens.
DOI: 10.17632/shp6xm5rdt.1
title: Automating Efficiency: The Impact of Industrial Robots on Labor Investment in China

description: The file contains the data and code used in the paper. Data on industrial robots are sourced from the IFR, while company-level financial data are obtained from the CSMAR, WIND, and CNRDS databases. City-level data are derived from the China Urban Statistical Yearbook. Chinese manufacturing data come from the China Industrial Statistical Yearbook, and US manufacturing-level data are sourced from the NBER-CES. Manufacturing-level data for the importing country are collected from the World Import and Export Database (WIOD).
DOI: 10.17632/c9zp27tvj6.1
title: Database of publications in Scopus for a bibliometric study on sexual harassment.

description: The object of this research is the scientific production on "sexual harassment" in the field of social sciences. The type of analysis to be carried out is exploratory, descriptive and quantitative based on the techniques and tools of bibliometric analysis of the documents stored in the Scopus bibliographic database. Systematic literature reviews in research work are very useful for researchers because they help them to delve deeper into the field of study, to know the most cited trends, networks, works and authors, and to raise questions for future research (Muyor and Fernández-Prados, 2021). To these advantages can be added some risks such as "inflated" citations due to self-citation abuses, distinguishing citations to criticise a certain work, defining precise semantic search fields, etc. (Holden, & Barker, 2005). In any case, bibliometric studies contemplate a formal and rigorous procedure that guarantees the quality of the results obtained by using increasingly sophisticated analysis techniques and software and increasingly systematic and complete compilations of scientific publications (Ball, 2020).
The steps followed to delimit the scope of the study were based on the decision of the database to be consulted, the search term and fields, as well as the time interval in which the sample of documents to be analysed would finally be located. Firstly, Scopus was chosen because it is the largest database of abstracts and citations of peer-reviewed literature containing around 25,100 indexed titles including journals, books, proceedings, etc. and some 77.8 million records or documents (Elsevier, 2020). Secondly, the search term selected aims to collect those publications that address the topic or term "sexual harassment" and that appeared in the title, abstract or keyword fields, finding some 7,900 documents. In addition, it was limited to articles published up to and including the year 2020, excluding those published in 2021 and those announced for 2022 as these years are still incomplete, leaving 7,181 documents. Finally, those records confined to the thematic area of the social sciences (Social Sciences) were selected, reducing the final sample to 2,980 documents.
DOI: 10.17632/j5b9d7dd2b.2
title: Animal performance and feed characteristics data used to estimate the IPCC Tier 2 enteric methane emissions for smallholder livestock systems in Bomet, Kenya

description: These datasets contains enteric methane emission factors derived using Intergovernmental Panel on Climate Change (IPCC) Tier 2 method. The activity data collected includes the live weight (LW) measurements of cattle in 131 smallholder farms from different agro-ecological zones collected between December 2016 to January 2018 i.e. five LW measurements at month 0, 3, 6, 9, 12, live weight flux (change) for different periods, body condition scoring and physiological status all referred here as "Activity data". The animal performance activity data coupled with feed quality data (dry matter digestibility (DMD) were used to predict the energy requirements of the animals. These energy requirements include for maintenance, LW gain or loss, locomotion and lactation (for lactating animals). The average of the LW per period was calculated and used to estimate the metabolizable energy requirement (MER) for maintenance and MER for locomotion (energy used when walking during grazing). The LW change was used to estimate the MER for LW gain or loss. The animals were grouped by age and sex; Adult females (&gt;2 years), Adult males (&gt;2years), Heifers (1-2years), Young Males (1-2years) and calves (both sexes, &lt;1year). The MER for maintenance, gain or loss and locomotion applied to all animal classes. However, Adult females (&gt;2years) had an additional energy requirement since most at this age group were lactating and therefore part of the energy was used for milk production. The MER for lactation was calculated using average daily milk yield plus predicted calf milk consumptions for dams with calves of 0 to 3.5 months of age, and milk energy derived from measured herd milk quality (butter fat and solid non fat content). It was assumed that calves were tethered around the homestead and therefore MER for locomotion is negligible and not included for calves. A sum of all the MERs was calculated then used together with feed DMD and Gross energy (GE) to estimate the dry matter intake (DMI) that was in turn used to predict the daily methane production (DMP). All calves of 0 to 3.5 months of age were excluded from DMP calculations as it was assumed that their rumen is not fully developed as hence negligible enteric methane was produced. The DMP was converted to emission factor (EF) by multiplying it with 365 days to get an annual enteric methane emission figure. Feedbasket Information_Bomet_Kenya_2016 to 2018 contain information on feedstuffs available and their contribution to feedbaskets per agro-ecological zones in Bomet county. In addition, we had acreage data for each fodder crop, pasture or food crop residue that were fed to the animals, pasture biomass yield for different periods, the feed nitrogen, acid detergent fibre (ADF) and gross energy for the feedstuffs that were used to calculate the proportion of each feedstuff to the the entire feed-basket and the DMD, Nitrogen and GE of the feed-baskets for the agro-ecological zones in Bomet county.
DOI: 10.17632/8gj3rzvy87.1
title: correlation between multiple intelligences and academic performance

description: The relationship between multiple intelligences and academic performance looks at how Howard Gardner's theory of multiple intelligences, which identifies various types of intelligence, affects students' success in academic settings. Gardner proposed that intelligence is not a single entity but consists of various dimensions, including linguistic, logical-mathematical, spatial, musical, bodily kinesthetic, interpersonal, intrapersonal, and naturalistic intelligence. Each student may excel in one or more of these intelligences, which influences how they learn and perform in school.
DOI: 10.17632/3mtsnpy3vt.2
title: Dataset for Financial Literacy and Mutual Fund Investment Behaviors: Evidence from South Korea during the Financial Crisis

description: The importance of financial knowledge on efficient investment behaviors is well known. However, few studies have examined the relationship between financial literacy and investment behaviors under different economies' conditions. Using the 2007-2016 Fund Investors Survey from South Korea, we investigate the heterogeneous effects of financial literacy on individual investment decisions during and after the 2008 financial crisis. While differentiating objective and subjective financial knowledge, we find that only subjective knowledge is positively related to participation in financial markets and negatively related to fund exit decisions during the financial crisis (2007-2008). However, in the post-crisis period (2009-2016), both subjective and objective financial knowledge affect fund investment behaviors. We further examine these results through a knowledge calibration mechanism. We present suggestive evidence that the effect of subjective knowledge during the financial crisis is not driven by the overconfident investors whose subjective knowledge level deviates from objective knowledge but by the group whose subjective and objective knowledge are highly calibrated.
DOI: 10.17632/5dh58k5x2f.1
title: Data from: Persistence of Sewage-Associated Genes in Conventional and Advanced Treated Recycled Water: Implications for Microbial Source Tracking in Surface Waters

description: This dataset contains measurements of concentrations of microbial source tracking markers (EC23S857, HF183, H8 marker, and CPQ_056) and culturable Escherichia coli including the proportion that carry the sewage-associated H8 gene (cH8). Sewage and recycled water were sampled on three separate events from three advanced and three conventional wastewater treatment facilities in central Florida to explore differences in the persistence of microbial variables. We determined which treatment (advanced or conventional) was more effective in the reduction of microorganisms and their DNA in both bacteria and the viral marker crAssphage CPQ_056.
DOI: 10.17632/t4n3t4p6db.4
title: Smart Home Grow Open Source

description: The Arduino code, Android code with APK to link to the hydroponic set with ph Sensor and EC sensor and water pump for self regulating feature
DOI: 10.17632/jg8sd9p42r.3
title: Industrial Policy Persistence and Local Economic Performance: The Role of Subsidy Allocation in China

description: This is the replication package for "Industrial Policy Persistence and Local Economic Performance: The Role of Subsidy Allocation in China".
DOI: 10.17632/6pbrf24t8f.1
title: Data for: The weakest link: Haploid honey bees are more susceptible to neonicotinoid insecticides

description: Find attached the morphoJ files required to do the analyses as well as the excel data sheets used for the wing venation abnormalities, centroid size and fluctuating asymmetry analysis.
DOI: 10.17632/x3s9ryg5w9.2
title: Historical Places dataset of Pune

description: This dataset contains methodical images captured at historical places around Pune city. These images are mainly captured at locations Shaniwar Wada, Lal Mahal, Tulashibaug Ram Mandir, Kasaba Ganapati Mandir, Parvati and Omkareshwar Mandir. The images are captured at high precion with different angles and directions. The dataset contains various patterns of images captured through sharp camera lens.
These images can be input dataset to design and train algorithms for noise, blur identification and image restoration using Machine Learning and Deep Learning techniques. Further, it can be useful for students, researchers and archaeologist for insightful historical studies.
DOI: 10.17632/m3pvzxfd7v.1
title: In-Field Rice Panicles Detection of Different Growth Stages

description: The present study was part of a comprehensive field plot experiments of double cropping rice (spring and autumn) conducted at location of Research Centre Shapu, in Zhaoqing, Guangdong Province, China (23.16° N and 11.57° E) in 2021. There were 90 plots in the spring rice field experiment (Exp.1) and the autumn rice field experiment (Exp.2), respectively. The size of each plot was 10.8 × 3.5 m2. The experimental plot was designed with three replications. Different strategies for plant growing practices, including three cultivars, five levels of N fertilizers, and two planting densities were applied in each plot. In Exp.1, rice seeds were sown in early May, transplanted in late May, and harvested in early July. Three cultivars included Huahang No.51, Huahang No.57, and Guang8you2156. Two planting densities, namely 30×14 cm2 and 30×21 cm2, were adopted. Five levels of N fertilizers (N0-N4: 0, 45, 90, 180 and 270 kg/ha) with the same amount of P fertilizers (130 kg/ha) and K fertilizers (180 kg/ha) were applied in the experiment (Fig. 1a). In Exp.2, rice seeds were sown in late July, transplanted in early August, and harvested in late October. Three cultivars included Y liangyou3089, Huahang No.57, and Guang8you2156. Two planting densities were the same as those of Exp.1. Five levels of N fertilizers (N0-N4: 0, 90, 180, 270 and 360 kg/ha) with the same amount of P fertilizers (130 kg/ha) and K fertilizers (180 kg/ha) were applied in the experiment (Fig. 1b). A protected planting area with a width of 1 m was provided surrounding the experimental site. To further prevent the diffusion of fertilizers among plots, a guard row of ridge was built on the boundary between two adjacent plots and a plastic wrap covered the ridge. The growing practices, such as irrigation and pesticide application, were performed according to the local standards of rice cultivation to ensure no water stress, disease, or pest stresses in the experiments.