cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pv4bjg2ync
title: The relationship between adult attachment and co-parenting and parent-child relationship in Chinese parents

description: This study uses the Actor-Partner Interdependent Model to explore father’s and mother’s adult attachment related to their own (actor effects) and the partners’ (partner effects) co-parenting and parent-child relationships, respectively. Methods: Participants were from a cross-sectional sample of 1313 Chinese heterosexual married couples (fathers’ mean age = 39.74, SD = 5.61; mothers’ mean age = 37.55, SD = 5.04) whose biological children were pupils (mean age = 10.17, SD = 4.26). Results: Results revealed that: (a) within co-parenting, couple members’ actor effects from adult attachment avoidance to positive and negative co-parenting were found both significant, and the actor effects from adult attachment anxiety to negative co-parenting was found significant, whereas the partner effects was significant only from attachment avoidance to positive co-parenting; (b) within parent-child relationships, couple members’ actor effects from adult attachment avoidance to parent-child closeness and conflict were found both significant, and the actor effects from adult attachment anxiety to parent-child conflict was found significant, whereas the partner effects was significant only from attachment anxiety to parent-child conflict. Conclusions: The results support the theoretical view that there may be antagonism between parents’ adult attachment behavioral system and caregiving behavioral system, and highlights the negative effects of parents’ adult attachment avoidance and anxiety on their partners’ parenting function.
DOI: 10.6084/m9.figshare.11819982.v1
title: OCT_OCTA.mat

description: Rat retina structural and angiographic volumes acquired by visible-light OCT
DOI: 10.17605/osf.io/cqhsr
title: Dataset of psychological needs satisfaction and protective gaming

description: The data and analytic methods of a study on the effect of psychological needs satisfaction on protective gaming beliefs and behaviors
DOI: 10.17632/5syy6gf4bw
title: Kasashima et al, Developmental Cell 2020
DOI: 10.17632/6bg6342xg9
title: The realistic mixing miniature scenes (RMMS ) dataset

description: The RMMS dataset was collected by a push-broom hyperspectral spectrometer, which can be used to quantitatively evaluate the unmixing accuracy of different algorithms. It consists of a linear mixture scene with homogeneous flat materials and a nonlinear mixture scene with three-dimensional structural features. The features of the RMMS dataset also take point, line, and plane characteristics into consideration, and their spectral similarity increases the challenge of spectral unmixing. Category: linear mixture scene data and nonlinear mixture scene data.
DOI: 10.6084/m9.figshare.1619640.v1
title: EEG-fNIRShybrid SMR BCI data S1-S8

description: The dataset contains raw EEG and fNIRS recordings for motoThe dataset contains raw EEG and fNIRS recordings for motor execution of Right-Arm, Left-Arm, Right-Hand, and Left-Hand tasks. All information on the data can be foud in DataOrganization.txt.
DOI: 10.6084/m9.figshare.19930205.v2
title: TF-C Pretrain FD-A

description: - Paper: Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency - Paper link: - Github repo: https://github.com/mims-harvard/TFC-pretraining - Project website: <br> <strong>FD-A</strong> and <strong>FD-B</strong> are subsets taken from the <strong>FD</strong> dataset, which is gathered from an electromechanical drive system that monitors the condition of rolling bearings and detect damages in them. There are four subsets of data collected under various conditions, whose parameters include rotational speed, load torque, and radial force. Each rolling bearing can be undamaged, inner damaged, and outer damaged, which leads to three classes in total. We denote the subsets corresponding to condition A and condition B as Faulty Detection Condition A (<strong>FD-A</strong>) and Faulty Detection Condition B (<strong>FD-B</strong>) , respectively. Each original recording has a single channel with sampling frequency of 64k Hz and lasts 4 seconds. To deal with the long duration, we followe the procedure described by Eldele et al., that is, we use sliding window length of 5,120 observations and a shifting length of either 1,024 or 4,096 to make the final number of samples relatively balanced between classes.
DOI: 10.6084/m9.figshare.28782287.v1
title: Supplementary Material for: From Renal Markers to Muscle Mass: A Sarcopenia Index Predicts Outcomes in Coronary Artery Disease Patients with Aortic Valve Sclerosis

description: Background: Renal function plays a pivotal role in influencing various diseases, particularly cardiovascular conditions. Renal markers show strong associations with coronary artery disease (CAD), aortic valve sclerosis (AVSc), and sarcopenia. The Sarcopenia Index (SI), a biomarker derived from renal markers, serves a dual purpose: it precisely quantifies muscle mass while also acting as a prognostic indicator for adverse cardiovascular outcomes, especially in patients with concurrent CAD and AVSc.
Methods: A retrospective analysis was performed on consecutive CAD patients treated from 2013 to 2014. The SI was calculated using the formula [serum creatinine (mg/dL)/cystatin C (mg/dL)] × 100. The primary composite endpoint was cardiovascular death or rehospitalization for heart failure or acute coronary syndrome events. The secondary endpoint included the primary endpoint plus all-cause mortality. Kaplan-Meier analysis, and Cox proportional hazards modeling was applied to analyze the association between SI and outcomes
Results: Among the 1,123 CAD patients, 277 had AVSc. Patients with AVSc had significantly lower SI, which was independently associated with AVSc presence (OR=1.750, P&lt;0.001). Associations between SI and both endpoints were identified in CAD patients with AVSc rather than in those without AVSc. SI below the median (89.40) was predictive of worse outcomes. Lower SI significantly increased the risk for the primary (HR=1.883, P=0.035) and secondary (HR=1.910, P=0.021) endpoints in AVSc subgroup.
Conclusion: Lower SI is independently associated with AVSc in CAD patients and was also associated with adverse cardiovascular events and mortality in CAD patients with AVSc.
DOI: 10.6084/m9.figshare.6504632.v1
title: Efficacy of Ketoprofen With or Without Omeprazole for Pain And Inflammation Control After Third Molar Removal

description: Abstract In view of the gastrointestinal problems generated by the ketoprofen use, the ketoprofen association with omeprazole is available on the market. However, this association efficacy in acute pain control has not been established. Bilateral extraction of lower third molars in similar positions is currently the most used model for the evaluation and investigation of the efficacy and pharmacological effects of new compounds for the treatment of acute postoperative pain. The randomized and crossover study consisted in evaluating the clinical efficacy of therapy performed by ketoprofen 100 mg (twice daily-b.i.d.) versus ketoprofen 200 mg + omeprazole 20 mg (once daily-q.d.) to pain, swelling and trismus control in the bilateral extraction model of lower third molars in similar positions in two different appointments, in 50 volunteers. Volunteers reported significantly less postoperative pain at various post-operative periods and consumed less rescue analgesic medication (acetaminophen 750 mg) throughout the study when they took the combination of ketoprofen 200 mg + omeprazole 20 mg (q.d.). Following administration of both study drugs, no gastrointestinal adverse reactions were reported by volunteers. Furthermore, the evaluations of the drugs in pain control by the volunteers were significantly favorable to ketoprofen 200 mg + omeprazole 20 mg (q.d.). For swelling and trismus control, the treatments presented similar results. In conclusion, when volunteers took ketoprofen 200 mg + omeprazole 20 mg (q.d.), they reported significantly less postoperative pain at various post-surgical periods and consumed less rescue analgesic medication throughout the study compared with ketoprofen 100 mg (b.i.d).
DOI: 10.17632/8kvdbhrgxt
title: Big Dataset of Optical-Wireless Cyber-Physical Systems for Optimizing Manufacturing Services in the  Internet of Things-enabled Industry 4.0

description: The data presented in the article provides a fundamental building block of the next-generation Internet of things-enabled optical-wireless communication architectures for big data gathering in the electronics manufacturing Industry 4.0.
•	The published data will guide scientists for low-cost and energy efficient integration of different types of cyber-physical systems with varying data capacity requirements, and operate them optimally within realistic network scenarios in the electronics manufacturing Industry 4.0.
•	The data presented in the article will serve as a guide for readers for closely monitoring the assembly and manufacturing processes in real-time to minimize the faulty products and to boost the production process with lesser human interventions in the electronics manufacturing Industry 4.0.
•	The published data can be used as a benchmark problem by researchers interested in artificial intelligence-based network analysis of different types of manufacturing systems in the manufacturing Industry 4.0.
DOI: 10.6084/m9.figshare.24498613.v1
title: Raw Data - <b>Relationship of biological maturation and body surface area with fast-phase cardiac autonomic recovery in Brazilian Jiu-jitsu athletes</b>

description: In Brazilian Jiu-Jitsu (BJJ), athletes engage in multiple bouts with short intervals between them to vie for the championship, this requires broad efficiency of fast-phase cardiac autonomic recovery (CAR). Our aim was to verify the relationship between biological maturation (BM) and body surface area (BSA) and fast-phase CAR in BJJ athletes. This cross-sectional study involved 150 BJJ athletes, including 94 children and adolescents (Age: 10.6±1.5 years) and 56 adults (Age: 25.3±14.4). BM was assessed through peak height velocity (PHV). Athletes' BSA was categorized as low, medium, or high via anthropometric evaluations. Participants underwent high-intensity intermittent anaerobic physical exercise, by radio telemetry we acquired the peak heart rate and 60-s after physical exercise. Finally, the rapid phase CAR was analyzed using the 60-s heart rate recovery index. The results indicated that the pre-PHV group exhibited superior CAR compared to the during-PHV, post-PHV, and adult groups (η2p=0.450). Athletes with low BSA demonstrated enhanced CAR compared to those with medium and high BSA. The study concluded that both CAR depends on BM and BSA (η2p=0.252), regardless of the age group and BM stage. These findings have significant implications for tailored training and performance strategies, considering individual variations in BM and BSA.[P1]
DOI: 10.6084/m9.figshare.24750078.v1
title: Part2 - Github Projects V5.xlsx

description: Output of running python script which categorized results into spreadsheet.
DOI: 10.6084/m9.figshare.28855646.v1
title: questionnaire data from 391 students

description: for publication. 391 questionnaire.
DOI: 10.6084/m9.figshare.5459299.v5
title: PPG-BP Database

description: The peer-reviewed paper associated with this dataset has now been published in Scientific Data, and can be accessed here: https://www.nature.com/articles/sdata201820. Please cite this when using the<br> dataset. <br> Open clinical trial data provide a valuable opportunity for researchers worldwide to assess new hypotheses, validate published results, and collaborate for scientific advances in medical research. Here, we present a health dataset for the non-invasive detection of cardiovascular disease (CVD), containing 657 data records from 219 subjects. The dataset covers an age range of 20–89 years and records of diseases including hypertension and diabetes. Data acquisition was carried out under the control of standard experimental conditions and specifications. This dataset can be used to carry out the study of photoplethysmograph (PPG) signal quality evaluation and to explore the intrinsic relationship between the PPG waveform and cardiovascular disease to discover and evaluate latent characteristic information contained in PPG signals. These data can also be used to study early and noninvasive screening of common CVD such as hypertension and other related CVD diseases such as diabetes.
DOI: 10.6084/m9.figshare.7246856.v1
title: PRISMA datasets

description: The repository contains four PRISMA sensor hyperspectral simulated dataset, corresponding to two different scenes, P1 and P4. For each scene there are 2 different dataset:one with simulated random noisesone with simulated random noises ans simulated striping noise.Each dataset contains 256 spectral bands.Each dataset comes with its ENVI compliant headerData are in radiance, and data units are W/(sr*m<sup>2</sup> *nm)More info can be found on the readme.txt file.
DOI: 10.17632/g8t6vfygtt
title: Boakye, K. (2019) - TE farm data

description: This research aimed at estimating the technical efficiencies of smallholder pineapple farmers using the Data Envelopment Analysis (DEA) technique. The DEA technique was appropriate because it allowed the researcher to estimate technical efficiency on constant returns assumptions, variable returns assumptions, and further compute the scale efficicincy. The Central Region of Ghana was purposefully selected in this study since it is one of the major pineapple growing areas in Ghana. The sampling process includes 15 smallholder pineapple farmers from the Abura-Asiebu-Kwamankese district, 875 farmers from the Komenda-Edina-Eguafo-Abirem district and 1051 from the Ekumfi district as designated by Ghanaian Department of Agriculture across the Central Region.

The technique on sample size determination for a given population was suggested in Krejcie and Morgan (1970) which was used to delineate the current sample size based on the sampling frame(s). As a result, 320 smallholder pineapple farmers were used. Due to uncertainty and constraints or unavailability of survey respondents, Marc, et al., (2005) advised the rationale for keeping provision of 10% of the sample to reflect the non-responses and errors occurred in the process of data collection.
DOI: 10.17632/rngcz5wtv8
title: Digitize-HCD: A Dataset for Digitization of Handwritten Circuit Diagrams

description: This dataset was developed to support research on digitization of handwritten circuit diagrams. The dataset includes detailed annotations for multiple aspects of handwritten circuit diagrams, such as component symbols, text labels, and port locations. A total of 1,277 images of handwritten circuit diagrams drawn by more than 150 volunteers were utilized for developing the dataset. All diagrams were drawn on white A4 paper, using pen or pencil. From the collected drawings of circuit diagrams, images were captured using scanner, with a resolution of 600 dpi. Images derived from this process were utilized to prepare following annotations:

1. Collected images were annotated for classification and localization of component symbols in circuit images. For localizing the components symbols, Axis-Aligned Bounding Boxes were used. A total of 17 distinct component symbol classes were annotated across the 1277 collected images. Annotations are stored in COCO JSON format. Images and annotations are stored in "Component Symbol and Text Label Data" directory.

2. For the same set of circuit diagram images, component text labels were localized by annotating their bounding regions using polygon annotations and text content within each annotated polygon region was manually transcribed. The data is stored in a JSON file using an annotation format adapted from the OCRDataset structure of MMOCR (https://github.com/open-mmlab/mmocr). Annotations for text labels are stored in "Component Symbol and Text Label Data" directory.

3. For each of the 17 component symbol classes, a separate dataset was extracted from the original set of circuit images and their associated symbol detection data. This dataset includes individual component images, each cropped with a bounding box around the symbol, as well as corresponding ground-truth heatmap images that represent the probability distribution of the port locations. The "Component Port Location Data" directory consists of 17 subdirectories, each of which contains port location data specific to the corresponding component symbol.

Please cite the following article if you want to use this dataset:

N. Ahmed, M.F. Adnan, A. Shafiullah, H.J. Parash, Md.S. Rahman, I.C. Akib, G. Sarowar, “Digitize-HCD: A dataset for digitization of handwritten circuit diagrams,” Data in Brief, vol. 59, p. 111315, Apr. 2025, doi: 10.1016/j.dib.2025.111315
DOI: 10.6084/m9.figshare.21657773.v1
title: btc.csv

description: BTC Dataset 2021-Jan to 2022-Dec
DOI: 10.6084/m9.figshare.5382565.v1
title: Tule Elk Draft Genome

description: Draft genome of tule elk (Cervus elaphus nannodes). Raw data is in the SRA under the Submission ID SUB1984110 or BioProject ID PRJNA345218. All code used to generate the genome is available at: https://github.com/dib-lab/2017-tule-elk/<br>
DOI: 10.6084/m9.figshare.899215.v1
title: Forward Reads - File F - Second Sequencing Run

description: concatenate with other forward read files from second run
DOI: 10.6084/m9.figshare.18515858.v1
title: Pore size distribution of HPC-2.5 and HPC-5.0.xlsx

description: Pore size distribution of HPC-2.5 and HPC-5.0
DOI: 10.6084/m9.figshare.24659154.v3
title: Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship

description: The dataset represents data used in the publication "Belowground traits, rare species, and environmental stress regulate the biodiversity-ecosystem function relationship". ABSTRACT(1) Understanding the relationship between biodiversity and ecosystem functioning (BEF) is crucial to predicting the consequences of ongoing global biodiversity loss. However, what drives BEF relationships in natural ecosystems under globally changing conditions remains poorly understood.(2) To address this knowledge gap, we applied a trait-based approach to data from coastal dune plant communities distributed along a natural environmental stress gradient. Specifically, we compared the relative importance of belowground and aboveground traits in predicting productivity, decomposition, water regulation, carbon stock, and nutrient pools, and tested how these BEF relationships were modulated by environmental stress and the presence of rare species that are typically excluded from experimental systems.(3) Belowground traits were just as important as aboveground traits in driving ecosystem functioning. Moreover, despite having low abundances, rare species positively influenced ecosystem multifunctionality. However, most biodiversity effects became weaker as environmental stress increased.(4) Our study shows that to understand variation in ecosystem functioning we must consider belowground traits as much as aboveground ones. Moreover, it highlights the importance of conserving rare species for maintaining ecosystem multifunctionality. However, our findings also suggest that rapid global change could dampen the positive effects of diversity on ecosystem functioning.
DOI: 10.6084/m9.figshare.29081894.v1
title: <b>Dataset and R code for "</b><b>Plant functional trait dissimilarity drives plant mixture effects on fine root biomass and trait variations"</b>

description: We examined how functional dissimilarity—measured as functional dispersion in shade tolerance, drought tolerance, growth rate, and nitrogen-fixation ability—affects fine root biomass (RB), root length density (RLD), community-weighted rooting depth (WRD), and specific root length (SRL) by a global meta-analysis.
DOI: 10.6084/m9.figshare.5808693.v1
title: Figure 2d.xlsx

description: Raw data for Figure 2d.
DOI: 10.6084/m9.figshare.27834219.v3
title: <b>Data from: Biodiversity of key soil phylotypes is associated with increased plant richness and productivity following agricultural abandonment and afforestation</b>

description: This dataset is derived from plant and soils in China's Loess Plateau. Including plant richness, plant biomass, soil pH, soil moisture (SM), soil organic carbon (SOC), soil total nitrogen (STN), soil total phosphorus (STP), the contents of exchangeable soil cations, and soil textures (sand%, silt% and clay%).
DOI: 10.6084/m9.figshare.12162921.v2
title: GTT-1-protein-164.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.12795152.v3
title: OCT raw scans - LR

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um <i>x,y,z</i> respectively, labeled LR) and (11.1 um ,11.1 um and 2.18 um, labeled HR) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) has a relative .json metadata file named accordingly. Files are labeled with the date and time of acquisition, while the last part of the file name identifies the tile. Days of biofilm development and replicate for each acquisition date are reported in the OCTScans_metadata.xls file.<br>
DOI: 10.6084/m9.figshare.21603474.v2
title: CHARACTERIZATION OF BY-PRODUCTS WITH HIGH FAT CONTENT DERIVED FROM THE PRODUCTION OF BOVINE GELATIN

description: Underlying DATA of the research article titled: <strong>CHARACTERIZATION OF BY-PRODUCTS WITH HIGH FAT CONTENT DERIVED FROM THE PRODUCTION OF BOVINE GELATIN</strong> submitted to the F1000 RESEARCH JOURNAL
DOI: 10.6084/m9.figshare.28597037.v1
title: Legacy CDD evidence and theory

description: This study evaluates the coexistence implications of legacy conspecific density dependence
DOI: 10.6084/m9.figshare.5923720.v1
title: A Fixture Design Retrieving Method Based on Constrained Maximum Common Subgraph.pdf

description: Abstract—Fixtures are widely used in almost any modern manufacturing. They add directly to the cost base, impact manufacturing firms’ responsiveness and contribute to the overall product quality. Computer-aided intelligent fixture design was developed over the years to give a competitive edge to the manufacturing firms who are facing unprecedented competition and challenges. Among the techniques, Case-Based Reasoning (CBR) method leverages previous design experience and emerged as one of the most popular methods. However existing CBR methods are more focused on frame work building and less on detailed techniques on case retrieving, which is the central part of any CBR methods. This would inevitably impose negative impact on the overall efficiency of any CBR based methods. In light of this, this paper presents a new case retrieving method based on a constrained common subgraph technique. This technique tracks down similar cases from a case library through comparing the maximal common subgraphs constrained by meeting fixturing functional requirement. Efficient and robust algorithms have been developed subsequently to implement this technique. The developed method can be highly effective for retrieving cases related to some manufacturing parts with complex geometry. An illustrative example, combined with other key fixture design factors, demonstrates the effectiveness of the proposed method. The presented method is intuitive and can be used in combination with existing CBR methods and well positioned for the upcoming 'Big Data' manufacturing.Note to Practitioners—Providing