cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p5hv3m7txm.1
title: Calculating, optimizing, and predicting solar radiation in different types of urban blocks

description: This dataset accompanies the research article "Using intelligent multi-objective optimization and artificial neural networking to achieve maximum solar radiation with minimum volume in the Archetype urban block". It contains multi-dimensional data gathered and processed during the study of urban block design optimization. The goal was to maximize solar radiation exposure while minimizing the volume of the urban blocks, contributing to efficient and sustainable urban planning. Data was collected through simulations that employed intelligent multi-objective optimization techniques and artificial neural network modeling. Genetic algorithm optimization was utilized to generate a Pareto front, aiming to find an optimal balance between solar radiation maximization and volume minimization. Data Description: The dataset includes the following fields: Scale: The scale factor applied to the urban block model. Orientation: The orientation angle of the urban block in degrees. Average_Height: The average height of the urban structures within the block. Total Radiation: The calculated total solar radiation received by the block. Volume: The total volume of the urban block. Area: The surface area of the urban block. Type: The categorical type of the urban block. Num. of blocks: The number of discrete blocks within the urban model. Usage Notes: Researchers and urban planners can use this dataset to understand the implications of urban block design on solar radiation exposure and volume usage. The data should be interpreted in the context of the associated research article. The dataset is suitable for further analysis with machine learning models, particularly for training and validating artificial neural networks. Quality Assurance: Each data entry has been verified for consistency and accuracy with respect to the simulation outputs from the optimization algorithms. Associated Publications: Veisi, O., Shakibamanesh, A., & Rahbar, M. (2022). Using intelligent multi-objective optimization and artificial neural networking to achieve maximum solar radiation with minimum volume in the archetype urban block. Sustainable Cities and Society, 86, 104101.https://doi.org/10.1016/j.scs.2022.104101 Data Accessibility: The dataset is available for public access and use, with appropriate citation of the associated research article.
DOI: 10.17632/pbjk3357xw.1
title: Revision of Mediterranean Ascidians.Revised chapter with updated species

description: Revision of Mediterranean Ascidians.Revised chapter with updated species
DOI: 10.17632/sjn9h4bknw.1
title: Predicting customer satisfaction and loyalty through service quality and price. A shrimp industry B2B relationship

description: The data collected to evaluate the Service Qualitive predictiveness on Customer Satisfaction and Loyalty of a shrimp feed company that supplies the aquaculture sector. The questionnaire measures SQ dimensions adapted from Parasuraman et al. (1988); PF from Etemad-Sajadi et al. (2016); CS and CL from Japutra et al. 2021 and Wantara 2015, a Likert scale from 1 to 5, where one means "strongly disagree" and five means "strongly agree". The questionnaire was validated by two academic experts and with the aquaculture division manager and the company's quality system manager. The sample was taken from the most profitable customers to measure loyalty. For this purpose, non-probabilistic and non-random purposive sampling was conducted. This type of sampling is proper when it is necessary to limit participants based on a specific characteristic (Leech & Donovan, 2023); in this case, the shrimp feed company considers it essential to understand the CS and CL, prioritising those representing its highest annual turnover. The survey was applied face-to-face to 250 customers between November 2021 and January 2022, obtaining a response rate of 77% (193 customers representing 72.56% of the company’s annual turnover). The sample size compliance was checked with the software G*Power 3.1.9.7, using an effect size (f^2) of 0.15, an 80% statistical power, an alpha (α) level of 5%, and six predictors, resulting in a sample size of 55 customers, thus, confirming the adequate sample size of this study.
DOI: 10.17632/9khc5kvxxc.1
title: Design And Fabrication of a Presenter Wristband

description: A presenter wristband that uses Bluetooth is a modern variation of the traditional presentation remote control. Instead of relying on traditional radio frequency (RF) technology to communicate with the computer, these Bluetooth-enabled remote presenters use Bluetooth connectivity to establish a wireless connection. They can work with a wider range of devices, including computers, laptops, tablets, and smartphones, as most modern devices come with Bluetooth capabilities. A wristband is a simple, often flexible, and adjustable strip or band that is designed to be worn around the wrist, typically for functional, decorative, or identification purposes. It is designed to be easily worn and to carry around. The objective of this research is to create a functional prototype that seamlessly integrates the functionalities of a remote presenter and wristband with scrolling or sliding app controls, offering a comprehensive and personalized device. The project's scope includes the design and fabrication of the wristband, scroll or slide app integration, user interface development, Bluetooth connectivity, testing, and optimization. The wristband's design prioritizes comfort, aesthetics, and usability. Intuitive controls and customization options are implemented to allow users to navigate through scroll or slide apps and personalize their preferences based on their religious practices or personal preferences. Bluetooth connectivity is established to enable seamless synchronization between the wristband and compatible devices, facilitating the transfer of data and control over scroll or slide apps wirelessly. Extensive testing ensures the reliability, responsiveness, and compatibility of the wristband, with user feedback informing iterative improvements and refinements. This design project provides many opportunities to increase knowledge and experience because it can apply the use of design software such as Solidworks and AutoCAD. Basic engineering calculations, fabrication, and identifying and solving problems are required especially in the construction process. Overall, the objectives of this research have been achieved. The presenter wristband works well. However, this project still has shortcomings and weaknesses that can still be improved and has the potential to grow in the future.
DOI: 10.15151/esrf-dc-1249105707
title: Controlled thin film growth through machine-learning based closed-loop feedback with online X-ray scattering analysis

description: In recent years, X-ray scattering has received a significant boost due to the increased use of machine learning strategies in the analysis of data acquired at synchrotron sources. This data has been collected based on proposal MI-1462. We leveraged ML based real-time data analysis integrated into modern beamline environments. Integrating with BLISS all online fit results are saved together with raw data in this dataset. As a proof-of-concept, we grew organic molecular thin films of Alq3 (C27H18AlN3O3) and PTCDI-C8 (N,N′-dioctyl-3,4,9,10-perylene tetracarboxylic diimide). The growth is monitored with X-ray reflectivity and we established a closed loop between real-time, ML-based online data analysis and the sample environment to tailor the deposition process of organic thin films on molecular monolayer level.
DOI: 10.3886/icpsr23346.v1
title: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 1993
title: Version 1

description: These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, 1 to 12 monthly header records, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.
description: Datasets: DS1: Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 1993
description: Arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting program. Smallest Geographic Unit: states, counties, and cities
description: mail questionnaire; on-site questionnaire
DOI: 10.5067/altts-tja51
title: Integrated Multi-Mission Ocean Altimeter Data for Climate Research complete time series Version 5.1
DOI: 10.6084/m9.figshare.24024783
title: Quartet metabolite reference materials for inter-laboratory proficiency test and data integration of metabolomics profiling

description: As part of the Quartet Project, we extracted metabolites from four immortalized B-lymphoblastoid cell lines derived from a Chinese quartet family to provide a publicly available suite of metabolite reference materials. Each aliquot contains dried metabolite extracts from approximately 10<sup>6</sup> cells, suitable for evaluating metabolomics analysis including chromatography separation, mass spectrometry detection, and data processing.In the current study, we generated 264 metabolomic profiles from different laboratories using targeted and untargeted strategies to assess inter-laboratory proficiency. Quantification was done by relative abundance for untargeted techniques and multiple reaction monitoring for targeted techniques, except one lab (T-L4) which used standard curves.
DOI: 10.6084/m9.figshare.24042726.v2
title: Quartet transcriptome reference materials for inter-laboratory proficiency test and data integration of transcriptomics profiling

description: As part of the Quartet Project for quality control and data integration of multiomics profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, RNAseq datasets from the Quartet RNA reference materials were then collected, consisting of 252 RNAseq libraries from 21 batches generated in eight labs using two library construction protocols (poly(A) selection and RiboZero) and two sequencing platforms (Illumina NovaSeq and MGI DNBSEQ-T7).As part of the Quartet Project for quality control and data integration of multiomics profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, miRNAseq datasets from the Quartet RNA reference materials were then collected, consisting of 72 miRNAseq libraries from six batches generated in four labs using five library kits (NEBNext, NEXTFLEX, TruSeq, Vazyme, and QIAseq) and two sequencing platforms (Illumina NovaSeq and HiSeq 2500).
DOI: 10.17632/rxzpf7453c.2
title: LpPb and dPb dataset for 'Glacier-derived particles as a regional control on marine dissolved Pb concentrations'

description: The file contains labile particulate Pb (LpPb) contents of selected sediment samples from Svalbard and Greenland areas, and variation of dissolved Pb (dPb) concentrations in resonse to different conditions of sediment load, inubation time and temperatures during incubation of these sediments in aging seawater. LpPb for sediment samples was determined following a 2 hour weak acid leach (Berger et al., 2008). dPb concentration was determined as per Rapp et al., (2017) with calibration via standard addition. This dataset is submitted for Jana Krause, Xunchi Zhu, Juan Höfer, Eric P. Achterberg, Anja Engel, Lorenz Meire, Alice E. Stuart-Lee, Mark J. Hopwood*, Glacier-derived particles as a regional control on marine dissolved Pb concentrations.
DOI: 10.1285/i17201632vxviiin31p63
title: Speed and road accidents: risk perception, knowledge and attitude towards penalties for speeding

description: Speed is one of the elements that most contributes to road fatality, and this explains the fact that it is often dealt with in the road safety field. The objective of this research was to understand the risk perception, attitude, and knowledge of the participants towards speeding and penalties for speeding. A sample of 1,100 Spanish drivers over 14 years old was used and they filled in a questionnaire. The average rate assessment of the risk of traffic crash was 8.3 (on a scale of 0 to 10). Participants would punish the speeding behaviour with great severity; an average of 8.2 on a scale of 0 to 10. Almost all participants (97.1%) agreed that speeding is a punishable behaviour. It is necessary to educate drivers to respect speed limits, to improve roads’ infrastructure, to establish appropriate speed limits, to put signs properly, to improve vehicle engineering, and to use in-vehicle devices to control speeding.
DOI: 10.25917/5ee9d9bde413c
title: Native bees and their floral host associations in Tasmania Apple Orchards
DOI: 10.5066/p99s0i9w
title: Differenced Normalized Burn Ratio (dNBR) data of wildfires in the Sky Island Mountains of the southwestern US and northern Mexico from 2011-2017

description: This dataset is composed of 97 Differenced Normalized Burn Ratio (dNBR) images. Each dNBR represents a rough measure of fire-related vegetation change for wildfires (&gt;400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico. These fires occurred between 2011 and 2017 and were mapped using Landsat 7 and 8 satellite imagery.
DOI: 10.5066/p9bb5tio
title: Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2017

description: Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2017 and were mapped using Landsat satellite imagery.
DOI: 10.5066/p9p3nixr
title: Differenced Normalized Burn Ratio (dNBR) data of wildfires in the Sky Island Mountains of the southwestern US and Northern Mexico from 1985-2011

description: This dataset is composed of 253 Differenced Normalized Burn Ratio (dNBR) images. Each dNBR represents a rough measure of fire-related vegetation change for wildfires (&gt;400 ha) that occurred in the Sky Island Mountains within the Madrean Archipelago Ecoregion of the United States and Northern Mexico. These fires occurred between 1985 and 2011 and were mapped using Landsat 5 and Landsat 7 satellite imagery.
DOI: 10.5281/zenodo.4008504
title: DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

description: This data entry contains <strong>annotated mouse data from the DeepLabCut Nature Neuroscience paper</strong>. This data entry contains a public release of annotated mouse data from the DeepLabCut paper. The trail-tracking behavior is part of an investigation into odor guided navigation, where one or multiple wildtype (C57BL/6J) mice are running on a paper spool and following odor trails. These experiments were carried out by Alexander Mathis & Mackenzie Mathis in the Murthy lab at Harvard University. Data was recorded by two different cameras (640×480 pixels with Point Grey Firefly (FMVU-03MTM-CS), and at approximately 1,700×1,200 pixels with Grasshopper 3 4.1MP Mono USB3 Vision (CMOSIS CMV4000-3E12)) at 30 Hz. The latter images were cropped around mice to generate images that are approximately 800×800. Here we share 1066, frames from multiple experimental sessions observing 7 different mice. Pranav Mamidanna labeled the snout, the tip of the left and right ear as well as the base of the tail in the example images. The data is organized in DeepLabCut 2.0 project structure with images and annotations in the labeled-data folder. The names are pseudocodes indicating mouse id and session id, e.g. m4s1 = mouse 4 session 1. Code for loading, visualizing & training deep neural networks available at https://github.com/DeepLabCut/DeepLabCut.
description: {"references": ["Dataset associated with Mathis, A., Mamidanna, P., Cury, K.M. et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat Neurosci 21, 1281\u20131289 (2018). https://doi.org/10.1038/s41593-018-0209-y"]}
DOI: 10.6084/m9.figshare.1544295
title: PrecisionAnalyser Worked Example

description: This is a copy of PrecisionAnalyser containing data for 3 reconstructions of a set of scans of the red fox femorotibial joint.It demonstrates how the workbook extracts the DICOM header information, finds the axis vectors, and then calculates the alignment variability for each axis.Examples of how to find the error ellipse for each axis (x,y,z) are shown on separate sheets in this workbook.Numerical data from these sheets could be used to compare reconstruction criteria, or to estimate the effect on Measurements with the help of CTReconSim.
DOI: 10.6084/m9.figshare.22632598
title: Supplementary Material for: Identification and validation of CCNA2 and CCNE2 as potential biomarkers in small cell lung cancer

description: Introduction: Small cell lung cancer (SCLC) is a special type of lung cancer sensitive to radiotherapy and chemotherapy but is prone to drug resistance and recurrence and has a very poor prognosis. This study aimed to explore the potential biomarkers and therapeutic targets for SCLC. Methods: After batch normalization of GSE40275, GSE1037, and GSE44447 datasets, R was used to screen SCLC's differentially expressed genes (DEGs) and hub genes. We use immunohistochemistry(IHC) to assess the tissue's expression level of the hub gene. The clinical value of the hub gene was further evaluated based on the collected clinical-pathological data. Results: In this study, a total of 230 DEGs (133 up-regulated and 97 down-regulated) were screened by the R package. The IHC showed that the expression of CCNA2 and CCNE2 in SCLC tissues was significantly higher than that in normal tissues (P&lt;0.01). Overexpression of CCNA2 was closely associated with the extensive period of NCCN(P=0.004), tumor position (P=0.046), and clinical stage (P=0.002). The high expression levels of CCNE2 were related to high survival in chemotherapy patients (P=0.019). Conclusion: CCNA2 and CCNE2 may serve as potential biomarkers of diagnosis and treatment for SCLC.
DOI: 10.17632/hmnz8jsyn9.1
title: Acupuncture and safety for post-stroke hiccups: An overview of systematic reviews

description: Methods: Four international electronic databases (Cochrane database, PubMed, Embase, Web of Science) and four Chinese electronic databases (China National Knowledge Infrastructure, Wanfang database, SinoMed database and VIP database) were searched from their creation to February 4, 2023. Search terms such as “Acupuncture”, “Hiccup”, “Stroke” and “Meta analysis” were used. Data extraction and analysis: The risk of bias, quality of reporting and evidence for SRs were assessed by the risk of bias in systematic reviews (ROBIS) tool, the preferred reporting items for systematic reviews and meta-analyses (PRISMA 2020), and the quality of evidence for outcome measures by recommending grading, assessment, development and Evaluation (GRADE) for assessment. Two reviewers independently performed data extraction and analysis, and the degree of agreement was scored using the κ index. Results: Seven SRs met the inclusion criteria. In PRISMA 2020 reporting quality assessment, there were missing key reporting items and incomplete reporting of other items in the topics of structured abstracts, protocols and registrations, search strategies, risk of bias, data extraction, analysis templates and codes, and conflicts of interest. All SRs were rated as high risk of bias based on the ROBIS tool. According to the GRADE system, the results were all rated as low-quality evidence. Limitations of the original trial and publication bias topped the list of downgrading factors, followed by inconsistency and imprecision.
DOI: 10.17632/wvx46k442y.1
title: Art Therapy

description: SPSS Outputs
DOI: 10.5517/ccdc.csd.cc2d9956
title: CCDC 2213467: Experimental Crystal Structure Determination

description: Related Article: Mina Sadeghian, David Gómez de Segura, Mohsen Golbon Haghighi, Nasser Safari, Elena Lalinde, M. Teresa Moreno|2023|Inorg.Chem.|62|1513|doi:10.1021/acs.inorgchem.2c03668
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.24504241
title: Supplementary Material for: Radiographic signs of advanced cerebral venous thrombosis negatively modulate the effectiveness of endovascular treatments

description: Introduction: Endovascular treatment (EVT) is a therapeutic option for cerebral venous thrombosis (CVT); however, its benefit over conservative medical management has not been proven. Whether current patient selection practices are appropriate for EVT is unclear. Methods: This was a nationwide study of the 2016-2020 National Inpatient Sample database. Adult CVT patients and EVT treatments were identified. Patient demographics, medical comorbidities, CVT risk factors, and CVT manifestations were identified. Presence of radiographic signs of advanced and severe CVT (venous infarction, cerebral edema, and intracranial hemorrhage) were recorded. Primary and secondary outcomes were good discharge outcomes and in-hospital mortality, respectively. Results: 17,130 CVT patients were identified, and 56.7% had good discharge outcomes while 4.6% died during hospitalization. 945 (5.5%) received EVT, and EVT patients were more likely to have cerebral infarction (35.4% vs. 21.8%, p&lt;0.001), edema (35.4% vs. 20.1%, p&lt;0.001), and hemorrhage (37.6% vs. 19.7%, p&lt;0.001). After multivariable adjustments, EVT for patients without infarction, edema, or hemorrhage was moderately associated with higher odds of good outcomes (OR 1.86 [95%CI 0.98 - 3.53], p=0.059) and resulted in zero deaths. However, with increasing burden of radiographic signs of advanced CVT measured by the cumulative presence of infraction, edema, and hemorrhage, EVT was associated with decreasing odds of good outcomes and increasing odds of in-hospital mortality compared to medical management (interaction p=0.046 and 0.029, respectively). Conclusions: EVT may lead to higher rates of favorable hospitalization outcomes in patients who have not yet developed overt parenchymal manifestations of backpressure changes; presence of infarction, edema, and hemorrhage may diminish the short-term effectiveness of EVT.