cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6004769.v1
title: Scotland study area.shp

description: Shape files (see also Scotland study area.dbf) for the mapping the intermediate zones for Scotland.Shape files (see also Scotland study area.shp) for the mapping the intermediate zones for Scotland.
DOI: 10.6084/m9.figshare.9336356.v1
title: Filtered SNPs alternatively fixed between flat periwinkles' species (20)

description: Filtered SNPs (minimum coverage of 20) alternatively fixed between Littorina fabalis and L. obtusata (after mapping the reads against the pseudoreference).
DOI: 10.17632/4y8bw6hvwh
title: Soil ion detection

description: The detection of soil ions includes eight major ions and trace element ions such as iron and manganese
DOI: 10.6084/m9.figshare.28114247.v2
title: Gryzzly Dataset

description: Dataset of the paper: Seven years of project time-tracking data from Gryzzly capturing dynamics of collaboration and project failure (<i>currently in submission</i>)
DOI: 10.6084/m9.figshare.7890974.v1
title: gVCF_NA18878

description: 1000 Genomes gVCF mapped to hs37d5 for NA18878. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.9878213.v1
title: Assembly Challenge: a robot competition of the Industrial Robotics Category, World Robot Summit – summary of the pre-competition in 2018<sup>*</sup>

description: The World Robot Summit (WRS) is a robotic ‘challenge and exposition’ organized by the Japanese government to accelerate social implementation, research and development of robots working in realistic daily life, society, and industrial fields. In this paper, we introduce a robot competition of the Industrial Robotics Category of the WRS, called ‘Assembly Challenge’, which is organized by the WRS Industrial Robotics Competition Committee in order to promote the development of the next-generation production systems that can respond to new production demands in agile and lean manners. Prior to the main competition in 2020, a pre-competition was held in 2018 with 16 participating teams from around the world. In this paper, we introduce the contents and results of this pre-competition, analyze the results, and give a perspective for the 2020 main competition.
DOI: 10.6084/m9.figshare.c.3676618_d2.v1
title: Additional file 2: of Prevalence and geographic variation of abdominal obesity in 7- and 9-year-old children in Greece; World Health Organization Childhood Obesity Surveillance Initiative 2010

description: Raw data. (XLS 1170Â kb)
DOI: 10.17632/r5rx5wyp76
title: Data for: Comparison of Squats and Studs from different traffic environments

description: 3 animations of the 3D models created in VGStudios from CT data volumes derived from scans of in service squat type defects/ studs. 6 videos of scan othroslices showing the defect one slice at a time moving through the rail defect, longitudinally or cross-sectional (marked as x in title). Sample 2 animation is only of branched region of sample 2 defect as large scale scan could not be effectively modelled.
DOI: 10.17632/t39k2yjc24
title: Assessing the effect of green financing on inclusive growth: Evidence from Ghana

description: This paper examines whether green financing creates inclusive growth in Ghana. Quantitative time series data spanning 1990 to 2020 were gathered from secondary sources. Secondary data gathered from World development index, UNDP, UNEP, and IEA were used to establish the link between green financing and inclusive growth in Ghana. CO2 emissions per capita and renewable energy as percentage of total primary energy were used as proxies for green financing whilst human development index, education and life expectancy were used as proxies for inclusive growth. The ARDL techniques were adopted to analyse the data. The study finds that clean energy, CO2 emission reductions and education do not create inclusive growth in Ghana in the short-run. Improvement in the human development index and life expectancy creates inclusive growth both in the short and long run. The study demonstrates that education without appropriate skills and employment avenues would not reduce poverty and spurs on inclusive growth. Purposive sampling approach and desk survey method were adopted to gather the data from the World Bank, United Nations, UNDP, IEA, OECD, IMF, GSS, GLSS, and Ghana Multidimensional Poverty documents for the analysis. Explanatory and descriptive techniques were applied to arrive at the conclusions based on the data collected. To situate this study in context, the human development model was used to link the concepts and variables to arrive at a clear conclusion. This econometric model adopted is convenient for any data size (Odhiambo, 2009). Vector auto regression technique is used and the Granger causality model is applied based on the error-correction mechanisms. The paper used ARDL regression and bound test analysis to assess the interconnection between green financing indicators and inclusive growth. The ARDL regression model works by using one or more independent variables to predict the impacts on dependent variable (Kumari & Yadav, 2018). The connection between dependent variable and one or more independent variables were assessed, and since this paper tested for the impact of green finance indicators on inclusive growth, the use of ARDL regression is fit and proper. The econometric model adopted was: INCGROWTH = β0 +β1CO2EM + β2CLENRG + β3EDU + β4LEXP + β5HDI + εi Methodologically, the estimation focus is on how changes in the green financing might affect inclusive growth in Ghana. It is necessary to expatiate the property of time series variables in the ARDL model to determine how well they work with the preferred estimating method before looking at the results. This is usually done using the Unit Root Test.
DOI: 10.6084/m9.figshare.2057796.v1
title: Data directory for NSPN manuscript "Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome".

description: This zipped directory contains all the data required to reproduce the analyses in "Adolescence is associated with genomically patterned consolidation of the hubs of the human brain connectome".<br>
DOI: 10.6084/m9.figshare.23575920.v1
title: GRAPE dataset: draw.py

description: Running the codes in the “draw.py” can draw the segmentation annotations on ROI of CFPs, and the results will be output in the folder “Annotated Images”.
DOI: 10.6084/m9.figshare.28776470.v2
title: improved canopy height

description: The airborne LiDAR data was used as a reference to improve the canopy height products derived from the spaceborne LiDAR systems GEDI and ICESat-2. In the dataset, the attribute "predicted" represents the improved canopy height.The data within the airborne LiDAR coverage have been validated and evaluated. However, for the other datasets, their broader spatial extent may be affected by the representativeness and spatial distribution of the samples.
DOI: 10.6084/m9.figshare.832543.v5
title: Table 8. Houk-List Transition state analogues

description: The ten year old Houk-List model, for rationalising the origin of stereoselectivity in the organocatalysed intermolecular aldol addition, is revisited using a variety of computational techniques which have been introduced or improved since the original study. Even for such a relatively small system, the role of dispersion interactions is shown to be crucial, along with the use of basis sets where the superposition errors are low. Understanding the non covalent interactions (NCI) at play is highlighted as essential for the design of new synthetic routes and alternative reactants. An NCI analysis of the transition states enables the identification of non-covalent interactions that determine the reaction outcome, confirming the role of the electrostatic NCHᵟ+∙∙∙Oᵟ- interactions and highlighting new geometric schemes based on dispersion. Alternative mechanisms, such as proton-relays involving a water molecule or the Hajos-Parrish alternative, are shown to be higher in energy. The Amsterdam manifesto, which espouses the principle that scientific data should be citable, is followed here by using interactive data tables assembled via calls to the data DOI (digital-object-identifiers) held on a digital repository.
DOI: 10.17632/4km522jmw7
title: EVALUATING SUSTAINABLE PRACTICES AND SUPPLY CHAIN MANAGEMENT EFFECTIVENESS IN AFRICAN SMALL AND MEDIUM-SIZED ENTERPRISES (SMEs)

description: This dataset presents survey responses from African small and medium-sized enterprises (SMEs) as part of a study evaluating the effectiveness of sustainable practices and supply chain management (SCM) strategies. The survey aimed to investigate the adoption of sustainable practices, the implementation of SCM strategies, and their impact on African SMEs' operational and strategic outcomes.
The survey data includes responses from SMEs across various African countries, providing insights into the region's diverse economic contexts and business environments. The dataset covers a range of topics, including:
1. Adoption of Sustainable Practices: Responses related to the integration of sustainable practices within SME operations, such as energy efficiency initiatives, waste reduction efforts, and adoption of eco-friendly production processes.
2. Implementation of SCM Strategies: Data on using SCM strategies within SMEs, including inventory management, logistics optimisation, supplier relationship management, and distribution channel optimisation.
3. Operational and Strategic Outcomes: Responses regarding the perceived impact of sustainable practices and SCM strategies on operational efficiencies, cost savings, revenue generation, market competitiveness, and overall business performance.
4. Stakeholder Support: Feedback on the level of stakeholder support for sustainable initiatives and SCM practices, including support from employees, customers, suppliers, and regulatory bodies.
The dataset allows for the quantitative analysis of the relationships between sustainable practices, SCM effectiveness, stakeholder support, and SME competitiveness. Researchers and practitioners interested in sustainable business practices, supply chain management, and SME development in African contexts can utilise this data to gain insights into the challenges and opportunities associated with integrating sustainability into SME operations.
The dataset is anonymised to protect the confidentiality of participating SMEs and is suitable for statistical analysis and research purposes. Researchers are encouraged to explore it to advance knowledge in the fields of sustainable business practices and SME development in Africa.
DOI: 10.17632/jxw5rjzgf8
title: Data for: Assessment of black globe thermometers employing various sensors and alternative materials

description: Database for the tests
DOI: 10.17632/thkcz3h6n6
title: Dataset of Fluorescence Spectra and Chemical Parameters of Olive Oils

description: This dataset encompasses fluorescence spectra and chemical parameters of 24 olive oil samples from the 2019–2020 harvest provided by the producer Conde de Benalúa, Granada, Spain. The oils are characterized by different qualities: 10 extra virgin olive oil (EVOO), 8 virgin olive oil (VOO), and 6 lampante olive oil (LOO) samples. For each sample, the dataset includes fluorescence spectra obtained with two excitation wavelengths and five chemical parameters necessary for the quality assessment of olive oil. The fluorescence spectra were obtained by exciting the samples at 395 nm and 365 nm and collecting the signal with a miniature spectrometer with a 1024-element CCD array with a resolution of 16 nm. Each olive oil sample was measured 20 times under identical conditions for excitation at 365 nm and 395 nm. Therefore, the dataset includes a total of 960 spectra (24 oil samples × 2 excitation wavelengths x 20 measurements). Each of the 960 spectra is an array of 1024 values whose elements are the intensity at the different pixel positions. For each olive oil sample, the dataset includes the values of the following chemical parameters: acidity, peroxide value, K_270, K_232, ethyl esters, and the quality of the samples (EVOO, VOO, or LOO). The chemical analysis of all the samples was performed by accredited laboratories according to the current European regulation. The dataset offers a unique possibility for researchers in food technology to develop machine learning models due to the availability of both spectroscopical and chemical data. The dataset can be used, for example, to predict one or multiple chemical parameters or to classify samples based on their quality from fluorescence spectra.
DOI: 10.17632/vbgbm8j32f
title: Diagnosis data of MulmoU-Net models for prostate cancer detection and segmentation on multi-sequence MRI

description: We have developed MulmoU-Net models for prostate cancer detection and segmentation on T2-weighted imaging alone, T2-weighted imaging plus dynamic contrast-enhanced imaging, biparametric MRI, and multiparametric MRI. Raw data is presented in this publication. Clinical data was collected from patients who were on suspicion of clinically localized prostate cancer and underwent multiparametric MRI followed by MRI-ultrasound fusion targeted biopsy and systematic 12-core biopsy. Region-based sensitivity and positive predictive value of each model was analyzed using data of 664 radiologist-identified regions with PIRADS scores ≥3. Regarding the specificity and the negative predictive value, whether a region was free from disease or not was examined in each prostatic side.
DOI: 10.6084/m9.figshare.14216588.v1
title: Alignments of DNA sequences of green algae colonizing egg clutches of amphibians

description: Alignments of DNA sequences of green algae colonizing egg clutches of amphibians
DOI: 10.6084/m9.figshare.20017691.v1
title: Species invasions dataset

description: Dynamic species invasions network: sender nodes are species and receiver nodes are regions as defined in the FirstRecords database. Dataset covers four taxonomic groups (i.e., mammals, birds, plants, insects) and a fixed time-frame [1880; 2005] over which the invasion process of the species occurs into the regional set of the 272 pre-specified regions. The data file is in comma separated format, where species - species <em>s</em> country - country <em>c</em> <em>start</em> and <em>stp</em> - defines the start and end time of each time interval. event - end of interval status, 0=censored, 1=invasion event dist - distance to the nearest region <em>c</em> invaded by species <em>s</em> by time <em>stp</em>. num_inv - weighted number of prior invasions in region <em>c</em> trade - logarithm of the sum of annual trade flows between region <em>c</em> and other regions invaded by species <em>s</em> by time <em>stp</em> col - presence of species <em>s</em> at time <em>stp</em> in a region within the area of a colonial power temp_dist - minimum absolute difference in temperature between region <em>c</em> and other regions invaded by species <em>s</em> by time <em>stp</em> pasture - proportion of pasture area in region <em>c </em>at time <em>stp</em> urban - proportion of urban area in region <em>c </em>at time <em>stp</em> cropland - proportion of cropland area in region <em>c </em>at time <em>stp</em> taxonomy - taxonomic group
DOI: 10.6084/m9.figshare.21688391.v1
title: Supplementary Material for: Treatment of congenital hypothyroidism – impact of secular changes in levothyroxine initial dose on early growth

description: Introduction: Newborn screening of congenital hypothyroidism (CH) has enabled early treatment with levothyroxine (LT4), ensuring normal growth and development. The initial LT4 dose recommendation has increased over decades. We evaluated whether the increased LT4 dosing influenced thyroid-stimulating hormone (TSH) and thyroxine (fT4) concentrations, growth, or treatment-related symptoms. Methods: LT4 doses, TSH, fT4, anthropometrics, and treatment-related symptoms until age two years were evaluated in 172 Finnish CH patients born between 1980 and 2018. The patients were grouped according to birth decade: 1980s (n = 19, mean LT4 starting dose 6.8 µg/kg/day), 1990s (n = 50, 7.4 µg/kg/day), 2000s (n = 59, 9.7 µg/kg/day) and 2010s (n = 44, 10.8 µg/kg/day) Results: TSH concentrations were higher during the first two years of life in children born in 1980s compared to children born later. TSH concentrations were often subnormal in children receiving higher LT4 doses (children born in 2000s and 2010s). However, symptoms of overtreatment were uncommon. Linear or head growth showed no differences between the groups during the first two years of life. Although growth was within the normal spectrum, children in all groups were shorter than their target length at two years and their weight-for-length was above the mean through the first two years of life. Discussion/Conclusion: Current treatment practice with higher LT4 dose normalizes TSH rapidly without significant increase in side effects. However, irrespective of initial LT4 dose, children were shorter than expected at 2 years of age. Effects of different initial LT4 dose on cognitive development urges further investigation.
DOI: 10.6084/m9.figshare.26308696.v2
title: Crop Recommendation dataset

description: THE INFORMATION IN THE DATASET IS PROVIDED TO THE BEST OF KNOWLEDGE OF ICAR. THE BELOW DATA CAN BE USED PUBLICALLY UNDER ALL PUBLIC AND PRIVATE UNDERTAKINGS<b>Context</b><br>Precision agriculture is in trend nowadays. It helps the farmers to get informed decision about the farming strategy. Here, we present you a dataset which would allow the users to build a predictive model to recommend the most suitable crops to grow in a particular farm based on various parameters.**<b>Source</b><br>This dataset was build by augmenting datasets of rainfall, climate and fertilizer data available for India. Gathered over the period by ICFA, India.<b>Data fields</b><br>N - ratio of Nitrogen content in soil<br>P - ratio of Phosphorous content in soil<br>K - ratio of Potassium content in soil<br>temperature - temperature in degree Celsius<br>humidity - relative humidity in %<br>ph - ph value of the soil<br>rainfall - rainfall in mmCOPYRIGHT: Indian Chamber of Food and Agriculture https://www.icfa.org.in/
DOI: 10.6084/m9.figshare.28832186.v3
title: Heart rate and heart rate variability in athletic horses vary by age and activity level

description: These files is data of heart rate and heart rate variability (HRV) of athletic horses vary by age and activity level. And pages in each file is data of each horses.
DOI: 10.6084/m9.figshare.9393293.v3
title: PRISM Repurposing 19Q3 Dataset

description: The PRISM Repurposing release contains small molecule viability datasets generated using the Broad Repurposing Library and the PRISM multiplexed cell-line viability assay.The primary PRISM Repurposing dataset contains the results of pooled-cell line chemical-perturbation viability screens for 4,518 compounds screened against 578 cell lines.Data processing steps are described in the README file. Further descriptions of methods are available at https://doi.org/10.1101/730119.
DOI: 10.17632/d8bvxb3yfm
title: Taste cells expressing Ionotropic Receptor 94e reciprocally impact feeding and egg laying in Drosophila

description: The dataset includes data from the figures of the manuscript by Guillemin et al., of the same title, along with image stacks, video examples, and the calcium imaging protocol.
DOI: 10.6084/m9.figshare.17711582.v1
title: De novo transcriptome analysis reveals putative genes involved in anthraquinone biosynthesis in Rubia yunnanensis

description: This website includes the <i>de novo</i> transcriptome of <i>Rubia yunnanensis</i>, annotation and the output of differential gene expresion analyses.The file 'Rubia_yunnanensis_Trinity.fasta' includes assembled transcrips, which was generated using Trinity based on the six RNA-seq data. The file was used for annotation nand differential gene analyses.The file 'Rubia_yunnanensis_Trinity.fasta.kegg' includes the transcript annotation, which was generated using BLAST based on Kyoto Encyclopedia of Genes and Genomes (KEGG) (http://www.genome.jp/kegg/).The file 'Rubia_yunnanensis_SL_R.sigDiff ' includes all the differentiall expressed transcripts estimated using edgeR with FPKM data.The file 'Rubia_yunnanensis_SL_R.sigDiff.kegg' includes the Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation of DEGs. The file was used for identifying genes involved in anthraquinone biosynthesis.
DOI: 10.6084/m9.figshare.28912022.v1
title: Video_1 S2A 10usLipiddisepersionXY

description: Video_1 S2A 10usLipiddisepersionXY
DOI: 10.17632/6pbyy7jc4x
title: Data set for Hurricane Dorian 2019

description: Tweets in English related to 2019 Hurricane Dorian culled from Twitter. Gephi files were made with opem source Gephi 0.9.2.
DOI: 10.17632/nkcwbbsprr
title: Data for: A metal-free and a volatile organic solvent-free ipso-nitration of carboxylic acids using a mixture of nitronium tetrafluoroborate, base and 1-hexyl-3,4,5-trimethyl-1H-imidazolium tetrafluoroborate

description: NMR spectra of products
DOI: 10.6084/m9.figshare.1336086.v2
title: Effects of Korean Red Ginseng extract on hepatic lipid accumulation in HepG2 cells

description: In this study, we investigated the effects of Korean red ginseng water extract (KRGE) on hepatic lipid accumulation in HepG2 cells. KRGE decreased hepatic triglyceride and cholesterol levels. Further, KRGE suppressed expression of fatty acid synthase (FAS) and 3-hydroxy-3-methyl glutaryl coenzyme A (HMG-CoA) reductase. These results suggest that KRGE may reduce hepatic lipid accumulation by inhibition of FAS and HMG-CoA reductase expression in HepG2 cells.
DOI: 10.6084/m9.figshare.20318097.v1
title: Shapefile_containing_irrigation_water_withdrawal

description: This is the shapefile dataset containing the irrigation water withdrawal. Here are the describtion variable names in this file (Obs: observed irrigation water withdrawal; Ctl: simulated irrigation water withdrawal of CTL simulation; Irr: simulated irrigation water withdrawal of IRR_0 simulation; Irr_drai: simulated irrigation water withdrawal of IRR_1 simulation; Irr_pool: simulated irrigation water withdrawal of IRR_2 simulation; Irr_satu: simulated irrigation water withdrawal of IRR simulation; Bias_xxx: bias of irrigation water withdrawal of simulation xxx compared to observation). This can be used to plot irrigation water withdrawal data with the scripts plot_irr_withdrawal.py