cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.13546826.v1
title: Research Data for "3D Visualisation of chemical shielding tensors (VIST) to elucidate local and global (anti)aromaticity"

description: Research data underlying the manuscript "3D Visualisation of local aromaticity and antiaromaticity using chemical shielding tensors"<br>ContentMolecular coordinates (<b>coord.xyz</b>), Gaussian input files (<b>gaussian.com</b>), Gaussian output files (<b>gaussian.log</b>), and VMD input scripts (<b>*.vmd</b>) for <b>benzene</b>, <b>phenanthrene</b>, <b>cyclobutaphenanthrene, PCT </b>(paracyclophanetetraene)<b>, 8CPP </b>(cycloparaphenylene)<b>, norcorrole_dimer</b>.<br>
DOI: 10.17632/628j8mhszb
title: IPMDSP Supplementary Data

description: Integrated production, maintenance, and distribution scheduling problem
DOI: 10.25380/iastate.14454753.v1
title: Reliability Data: Laboratory Failure-Time and Single-Time Strength Data

description: Reliability tests are commonly used in product design and manufacturing processes to assure the reliability of components, subsystems, and, in some cases, complete systems. Typical responses are time to failure (either in terms of operating time or number of cycle of operation) or strength or other critical material properties. Virtually alllaboratory reliability tests are accelerated (e.g., by testing at an increases cycling rate or at higher-than-usual levels of temperature or voltage) so that information is obtained in a timely manner. The resulting test data are often censored because not all units fail by the end of the test.
DOI: 10.6084/m9.figshare.12673724.v1
title: New martian dust simulant JMDS-1 and applied it to the laboratory thermal conductivity measurements

description: JMDS-1 data
DOI: 10.17632/dntgsyznzs
title: The genetic background shapes disease susceptibility and reveals a specific role for mitochondrial dysfunction in the progression from NAFLD to NASH

description: Non-alcoholic steatohepatitis (NASH) is a global health concern without treatment. The challenge in finding effective therapies is due to the lack of good mouse models and the complexity of the disease, characterized by gene-environment interactions. We tested the susceptibility of 7 mouse strains to develop NASH. The severity of the clinical phenotypes observed varied widely across strains. PWK/PhJ mice were the most prone to develop NASH, while CAST/EiJ mice were completely resistant. Levels of transcripts and proteins present in the mitochondria as well as mitochondrial function were robustly reduced in the liver of PWK/PhJ mice, suggesting a central role of mitochondrial dysfunction in NASH progression. Importantly, the alterations in gene expression observed in PWK/PhJ mice were the closest to the human NASH. Our study exposes the limitations of using a single mouse genetic background in metabolic studies and describes a novel NASH mouse model that closely resembles the human disease.
DOI: 10.17632/svtb47v86r
title: The Ratip program for relativistic calculations of atomic transition, ionization and recombination properties

description: Abstract During the past decade, the Ratip program has been developed to calculate the electronic structure and properties of atoms and ions. This code, which is now organized as a suite of programs, provides a powerful platform today to generate and evaluate atomic data for open-shell atoms, including level energies and energy shifts, transition probabilities, Auger parameters as well as a variety of excitation, ionization and recombination amplitudes and cross sections. Although the Ratip program fo... Title of program: RATIP Catalogue Id: AEMA_v1_0 Nature of problem Ab-initio calculations of atomic properties and data are required in science and technology, not just within the traditional areas of astro and plasma physics but also in several recently emerging research fields. Hereby, often quite different demands arise with regard to the accuracy of the data, the elements of interest as well as their stage of ionization. Therefore, it is desirable to provide a code which is applicable to all elements of the periodic table and which can help incorporate the ... Versions of this program held in the CPC repository in Mendeley Data AEMA_v1_0; RATIP; 10.1016/j.cpc.2012.02.016 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.1185484.v1
title: Data set of tree DBH and distance between the pair of trees

description: Method: Measurements of the distance between two trees and the DBH. The first tree is selected at random that met the requirement of twice our height (approximately 11ft). The second tree is the closest tree to the first tree that met the requirement. Circumference is measured at chest height of each tree using a transect measuring tape. Using the circumference to determine the diameter by using the following formula: D= C/pi, where D= Diameter, C= Circumference Condition: 0= dead, 1= living, 2=huge green canopy
DOI: 10.6084/m9.figshare.13138583.v1
title: Oak Decline Naji.xlsx

description: This file is consist of all data that support the findings of this study.
DOI: 10.6084/m9.figshare.24718545.v1
title: Aeronet AOD L2

description: Aeronet AOD L2 files
DOI: 10.6084/m9.figshare.6265685.v1
title: Patient35

description: Male Patient with 451 slice of pulmonary embolism CT-Angiography.
DOI: 10.6084/m9.figshare.6753566.v1
title: Additional file 1: of FC_analysis: a tool for investigating atomic force microscopy maps of force curves

description: FC_analysis executable file. (EXE 498 kb)
DOI: 10.17632/424s2mwg4v
title: Comparative Analysis of High-Resolution CMIP6 GCM and CMIP5 RCM: Unveiling Biases and Advancements in Simulating Compound Extreme Events in China

description: This data set includes the materials required to reproduce the figures and tables presented in the study: "Comparative Analysis of High-Resolution CMIP6 GCM and CMIP5 RCM: Unveiling Biases and Advancements in Simulating Compound Extreme Events in China". The data consist of:
Maps of historical and projected temperature, precipitation and compound heat-precipitation events of China from PRECIS and HadGEM3-GC31-HM at 50 km spatial resolution in NetCDF format.
Examples:
1. pr_HadGEM3-GC31-HM_8504_90p.nc contains 90th percentile precipitation (extreme precipitation) simulated by HadGEM3-GC31-HM for the years 1985-20004 in China.
2. tas_PREC_8504_tim-obs.nc contains the difference between the PRECIS simulated and observed mean temperatures for the years 1985-20004 in China.
3. com_HadGEM3-GC31-HM_ssp5_3150_pt_change.nc contains PT compound extreme events calculated from HadGEM3-GC31-HM for the relative historical phase change for the years 2031-2050 in China under the SSP5-8.5.
DOI: 10.17632/5d6b38ydkh
title: The nexus among long-term changes in lake primary productivity, deep-water anoxia, and internal phosphorus loading, explored through analysis of a 15,000-year varved sediment record

description: This Excel file contains the Data used to calculate and draw the figures for Core SO08-3 in the article of Lake Soppensee https://doi.org/10.1016/j.gloplacha.2021.103643
DOI: 10.6084/m9.figshare.24973095.v2
title: Dataset of the nest temperature, ambient temperature and light intensity data from the Vlieland great tit population

description: Dataset of the nest temperature, ambient temperature and light intensity data recorded for the PhD project of Aurelia F. T. Strauß. The data is used for two projects:1. observational study linking diel timing, fitness and life history:"Female chronotype relates to lay date but not fitness in wild great tits" from Aurelia F. T. Strauß, Barbara M. Tomotani, Barbara Helm and Marcel E. Visser submitted to <i>Oecologia</i>2. experimental study (light treatments inside the nest-box) conducted in spring 2021"Short-time exposure to light at night affects incubation patterns and correlates with subsequent body weight in great tits (Parus major)" from Aurelia F. T. Strauß, Lies Bosma, Marcel E. Visser and Barbara Helm published in <i>Journal of Experimental Zoology Part A</i>. DOI: 10.1002/jez.2787-----updated 08-05-2025 (version 2): item name changed and decription updated
DOI: 10.6084/m9.figshare.26090059.v2
title: SkinCAP Annotation v240623

description: SkinCAP comprises <b>4,000</b> images sourced from the Fitzpatrick 17k skin disease dataset and the Diverse Dermatology Images dataset, meticulously annotated by our dermatologists to provide extensive medical descriptions and captions.
DOI: 10.6084/m9.figshare.28917278.v1
title: Supplementary Table6 TPM Data of Glycine soja and Glycine max.csv

description: Currently, domesticated species available on the market have been developed through the breeding of wild relatives. We collected gene expression data of domesticated species of rice, tomato, and soybean, along with their presumed ancestral species, and conducted a meta-analysis to investigate differentially expressed genes during domestication. In wild relatives, the expression of gene groups involved in osmotic, drought, and wound stress tolerance was upregulated. In contrast, in domesticated species, upregulated ex-pression was observed in gene groups related to auxin and those involved in the efflux of heavy metals and harmful substances. By identifying these genes with differential ex-pression levels, we can gain insights into how domestication has influenced changes in crop traits. In particular, breeding strategies that make use of wild relatives with high genetic diversity are attracting attention as an important approach for addressing climate change and ensuring a sustainable food supply. The findings obtained in this study are expected to contribute to the realization of rapid breeding and the development of new varieties capable of growing in harsh natural environments. To address this issue, a new cultivation method called "De novo domestication" has been proposed, which combines the genetic diversity of currently unused wild relatives and wild relatives with genome editing technologies that enable rapid breeding.
DOI: 10.17632/jrvj6rpnjd
title: Video Dataset for Sentiment Analysis

description: Videos from social media platforms like Facebook, Instagram, YouTube, Twitter, Telegram, and video libraries that meet the criteria are gathered and downloaded into the stated dataset. Six hundred videos representing a range of emotions, including fear, sadness, anger, disgust, neutral, happy, and surprised, comprise up the suggested dataset. The audio in each clip of the proposed dataset features the voice of a single speaker who appears in the movie. The videos in the dataset are of varying lengths and include people of all ages and ethnicities. US English language used in the videos. The video dataset is balanced and has labeled. For several types of research, such as sentiment analysis, opinion mining, trend analysis, and social behavior studies, among others, this dataset might be an invaluable resource.
DOI: 10.48420/22672366.v1
title: Fasta alignment files for calculating genetic diversity indices in ten <em>Anopheles </em>species from Meghalaya.

description: These DNA sequences consist of partial <em>COI</em> gene for ten <em>Anopheles</em> species found abundantly in the three study sites of Meghalaya in northeast India. These files were used to calculate haplotype diversity, nucleotide diversity, Tajima's D in the software DNASP. The results of this analysis are published in Table 1 of the paper https://doi.org/10.1016/j.meegid.2023.105450
DOI: 10.6084/m9.figshare.24162222.v1
title: <b>Dataset for "Hydrological Impacts of </b><b>Vegetation Change in China through Terrestrial Moisture Recycling</b><b>"</b>

description: Di Xie, Tsinghua University, xd20@mails.tsinghua.edu.cnPlease check the README.txt for a detailed description of the dataset.<br>
DOI: 10.6084/m9.figshare.13489995.v1
title: CMD_PK_dataset

description: Novel psychosocial intervention for patients with common mental health disorders in Pakistan
DOI: 10.6084/m9.figshare.21563517.v1
title: scDCC data

description: Datasets used in scDCC paper with gene names and cell names.
DOI: 10.17632/fs2npvfx54
title: Summary of data for size-resolved organic nitrates

description: The data in this file is for the manuscript entitled "Size-dependent formation of secondary organic nitrates in urban air" in JGR-A journal.
DOI: 10.6084/m9.figshare.14036549.v3
title: Estimated Deaths, Intensive Care Admissions and Hospitalizations Averted in Canada during the COVID-19 Pandemic

description: These datasets explore disparities in COVID-19 mortality observed in the US and Canada between January 2020 and early March 2021. Table 1 provides counts of deaths, hospitalizations, ICU admissions, and cases, by age, for Ontario, Canada (Canada's most populous province). <br> Table 2 estimates deaths averted by Canada's response to the COVID-19 pandemic, relative to that in the United States, by "Canada-standardizing" the US epidemic (i.e., by applying US age-specific mortality to Canadian populations, in order to estimate the deaths that would have occurred in a Canadian pandemic with the same rates of death as have been observed in the US). Observed Canadian deaths are compared to "expected" deaths with a US-like response in order to estimate both deaths averted and SMR (Table 2). <br> As Canadian age groups for purposes of death reporting are slightly different from those used in the US (e.g., 0-17 in the US vs. 0-19 in Canada), we reallocate Canadian deaths based on proportions of deaths occurring in 2-year age categories in Ontario (Table 1). <br> Ontario age-specific case-fatality is used to inflate the deaths averted, in order to estimate cases averted. Ontario age-specific hospitalization and ICU risk (again derived from Table 1) are used to estimate hospitalizations and ICU admissions averted (Table 2). <br> As of August 9, 2022, a new dataset has been added which applies the methodology described above to compare deaths in Canada to those in the United Kingdom, France, and Australia. Estimates of QALY loss, and healthcare costs averted, have also been added. Uncertainty bounds are estimated either as parametric confidence intervals, or as upper and lower bound 95% credible intervals through simulation (implemented using the random draw funding in Microsoft Excel). <br> Errors in confidence intervals for QALY losses in France and Australia corrected February 28, 2023.
DOI: 10.6084/m9.figshare.3519281.v1
title: Appendix B. A table with descriptions of the predictor variables in the three models.

description: A table with descriptions of the predictor variables in the three models.
DOI: 10.17632/y7pckrw6z2
title: Arabic Alphabets Sign Language Dataset (ArASL)

description: A new dataset consists of 54,049 images of ArSL alphabets performed by more than 40 people for 32 standard Arabic signs and alphabets. The number of images per class differs from one class to another. Sample image of all Arabic Language Signs is also attached. The CSV file contains the Label of each corresponding Arabic Sign Language Image based on the image file name.
DOI: 10.17632/y9s8czg7kx
title: Patient Experience

description: Having healthcare from private hospital, patient give score their experience and score their idea over whether would be recomend or not.
DOI: 10.6084/m9.figshare.12744950.v1
title: Synthetic Overhead Images of Wind Turbines Made to Mimic California and Arizona

description: <b>Overview</b><br>This is a set of synthetic overhead imagery of wind turbines that was created with CityEngine, and was made to qualitatively match overhead images of wind turbines from California and Arizona. There are corresponding labels that provide the class, x and y coordinates, and height and width (YOLOv3 format) of the ground truth bounding boxes for each wind turbine in the images. These labels are named similarly to the images (e.g. wnd_xview_bkg_sd0_1.png will have the label titled wnd_xview_bkg_sd0_1.txt). The images are contained in syn_CA_AZ_xview_bkg_shdw_scatter_uniform_50_wnd_v1 and the labels are contained in syn_CA_AZ_xview_bkg_shdw_scatter_uniform_50_wnd_v1.<br><b>Use</b><br>This dataset is meant as supplementation to training an object detection model on overhead images of wind turbines. This data can be added to the training set to potentially improve the performance of the model, especially if the model is being tested on small wind turbines or in desert regions. <br><br><b>Why</b><br>This dataset was created to study the use of synthetic imagery when doing cross-domain testing (training on one geographic region and then testing on a much different geographic region). When training the YOLOv3 model on the Overhead Imagery of Wind Turbines dataset, we noticed qualitatively that the model struggled much more on the images from California and Arizona. This is because there are small wind turbines present in these states. Because of the size of these small turbines, there is less information for the model to identify them, and oftentimes the only human-noticeable information is the shadows of the turbines. This dataset was then designed to try to improve the model's performance on these regions and type of turbines. In our experiment, the baseline training (real overhead images in the Overhead Imagery of Wind Turbines dataset) set contained all of the images not from California and Arizona. The testing set contained all of the images from California and Arizona. This model was trained and evaluated, and then this synthetic imagery was added to the training set and the performance was once again evaluated on the testing set of just data from California and Arizona.<br><br><b>Method</b><br>The process for creating the dataset involved selecting background images from https://figshare.com/articles/dataset/Power_Plant_Satellite_Imagery_Dataset/5307364 that were not contained in the Overhead Imagery of Wind Turbines dataset, and did not have much infrastructure that would make the scene seem unrealistic. Then, a script was used to select these at random and uniformly generate 3D models of both small and large wind turbines over the image and then position the virtual camera to save four 608x608 pixel images. This process was repeated with the same random seed, but with no background image and the wind turbines colored as black. Next, these black and white images were converted into ground truth labels by grouping the black pixels in the images.
DOI: 10.6084/m9.figshare.27616083.v1
title: All neuromodulation data

description: This research explores a new way of introducing a stimulating catheter into the brain using the endocisternal system. Using a lumbar puncture and sheep models, we show that it is possible to achieve this using a subcutaneous approach.
DOI: 10.6084/m9.figshare.12993398.v1
title: Supplementary Material for: Exenatide and Renal Outcomes in Patients with Type 2 Diabetes and Diabetic Kidney Disease

description: <b><i>Background:</i></b> Cardiovascular outcomes in clinical trials with type 2 diabetes mellitus (T2DM) patients have shown that glucagon-like peptide-1 receptor agonist can have a beneficial effect on the kidney. This trial aimed to assess the effects of exenatide on renal outcomes in patients with T2DM and diabetic kidney disease (DKD). <b><i>Methods:</i></b> We performed a randomized parallel study encompassing 4 general hospitals. T2DM patients with an estimated glomerular filtration rate (eGFR) ≥30 mL/min/1.73 m<sup>2</sup> and macroalbuminuria, defined as 24-h urinary albumin excretion rate (UAER) &gt;0.3 g/24 h were randomized 1:1 to receive exenatide twice daily plus insulin glargine (intervention group) or insulin lispro plus glargine (control group) for 24 weeks. The primary outcome was the UAER percentage change from the baseline after 24 weeks of intervention. The rates of hypoglycemia, adverse events (AEs), and change in eGFR during the follow-up were measured as safety outcomes. <b><i>Results:</i></b> Between March 2016 and April 2019, 92 patients were randomized and took at least 1 dose of the study drug. The mean age of the participants was 56 years. At baseline, the median UAER was 1,512.0 mg/24 h and mean eGFR was 70.4 mL/min/1.73 m<sup>2</sup>. After 24 weeks of treatment, the UAER percentage change was significantly lower in the intervention group than in the control group (<i>p</i> = 0.0255). Moreover, the body weight declined by 1.3 kg in the intervention group (the difference between the 2 groups was 2.7 kg, <i>p</i> = 0.0001). Compared to the control group, a lower frequency of hypoglycemia and more gastrointestinal AEs were observed in the intervention group. <b><i>Conclusion:</i></b> Exenatide plus insulin glargine treatment for 24 weeks resulted in a reduction of albuminuria in T2DM patients with DKD.
DOI: 10.6084/m9.figshare.13385846.v1
title: Bom Jesus Red Flower 15:11 - Hyperspectral Radiance Image

description: Hyperspectral radiance data. The zipped file contains an unaveraged hyperspectral radiance image in Matlab MAT format, size 1024 × 1344 × 33, and spectral radiance in W m<sup>−2</sup> sr<sup>−1</sup> nm<sup>−1</sup>. The image is one of a pair of images acquired at different times. The zipped file also contains a BMP colour image, rendered from the radiance image, and an information document, which includes geographic location. The separate JPG image of the scene is for illustration only. Padding artefacts may be visible at the image edges. The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal in 2002 and 2003.<br>This data item is part of a collection. For details see the data item "README Hyperspectral radiance image pairs 2021" and the published article https://rdcu.be/cd15y.
DOI: 10.6084/m9.figshare.28507706.v1
title: Dietary Effects on Protein Abundance in Dugesia dorotocephala: Complex, Control, and Minimal Diet Conditions

description: This dataset contains quantitative proteomics data collected from a species of planaria, Dugesia dorotocephala, that was fasted 15 days and then fed different diets for an additional 15 days. The proteomics analysis was conducted using LC-MS/MS with Proteome Discoverer, with protein identification further refined using Percolator to improve the accuracy of peptide-spectrum match (PSM) assignments. The dataset represents three dietary conditions: Complex Diet, Control Diet, and Minimal Diet, with six biological replicates for each condition.