cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24428407.v3
title: analyses_obj_puzzle.xls dataset of the study "Blind people can actively manipulate virtual objects" in partial fulfillment of a submission to Scientific Reports (SREP-23-00924A)

description: The project contains open data, in partial fulfillment of a submission to Scientific Reports (SREP-23-00924A) for the manuscript: Blind people can actively manipulate virtual objects with a novel tactile device authored by Mariacarla Memeo, Giulio Sandini, Elena Cocchi, and Luca BraydaThe dataset contains two sheets.The first sheet 'discreteMeasures' contains the values of independent and dependent variables, for all participants, with one row for each trial of each participantThe second sheet 'averageMeasures', instead, computes variables across all trials of a single participant, for a single resolution of the environment. Therefore all trials of a certain resolution are collapsed in a single row.We label data as follows:ID -&gt; the participant IDgenderresolution[1,2,3] -&gt; categorical variable indicating one of three resolution of the map: 2x2, 2x3 and 3x3group[1,2] -&gt; counterbalanced order of presentation of stimulihorizontal[1/0] -&gt; whether the participant was asked to build a horizontal (1) or vertical (0) parallelepipedtrial match[1,0] -&gt; whether the participant did build what was asked (1) or not (0)execTime[s] -&gt; how long the trial lasted, in secondsnMovements -&gt; how many times the participant pushed any of the four directional buttons of the keyboardidealManhDistance -&gt; what is the minimal amount of movements that the participant can do to build the requested objecttargetManhDistance-&gt; what is the actual amount of movements that the participant performedefficiencyMov(1+nmov/1+idealManh) -&gt; the ratio of the actual amount of movements with respect to the ideal number of movements that led to the correct solution. The number can be lower than one in case the participants is building an object different that what is requestedefficiencyDist(1+targetManh/1+idealManh) -&gt; same as above, but in terms of Manhattans distance. This number does not take into account movements back and fourth the same position, therefore it consider only the starting and ending position of the object.efficiencyDiff(targetMahn-idealMahn/targetMahn+idealMahn) -&gt; a meaasure of consistency between ideal and target Manhattan distance. If it is equal to 1, the match is certainly 0uncertainty(accuracy/execTime) -&gt; a measure of efficacy of being accurate over timemouseUse[s] -&gt; the amount of time the TAMO3 was actively moved on the tabletkeyboardUse[s] -&gt; the amount of time the keyboard buttons where pressedrestTime[s] -&gt; the amount of time no action or motion were detectedtotalTime[s] -&gt; the total trial timeaverageSpeed[mm/s] -&gt; the average speed of the TAMO3 across the trialpercentageMouseUse[%] -&gt; portion of time spent in moving the TAMO3The sheet "averageMeasures" contains average and standard deviations of most of the variables above, computed across all trials of a given resolution of a given subject
DOI: 10.6084/m9.figshare.25017980.v1
title: FE-<b>Tree mycorrhizal type mediates the responses of </b><b>foliar </b><b>stoichiometry </b><b>and tree growth to functionally dissimilar neighbours in a subtropical forest experiment</b>

description: <b>Tree mycorrhizal type mediates the responses of</b><b> </b><b>foliar</b><b> stoichiometry</b><b> and tree growth to functionally dissimilar neighbours in a subtropical forest experiment</b>
DOI: 10.17632/vdnt644ddb
title: Annual data on PM2.5 emissions, total primary energy consumption, urbanization and national output for 178 countries covering 2010 to 2017

description: The data file contains annual data on PM2.5 emissions, total primary energy consumption, urbanization and national output for 178 countries covering 2010 to 2017. Energy consumption is measured in quadrillion British thermal unit, national output in billion current US dollars, urbanization in million people, and PM2.5 in micro grams per cubic meter.
DOI: 10.6084/m9.figshare.25897766.v1
title: Distributed Heterogeneity Learning for Generalized Partially Linear Models with Spatially Varying Coefficients<sup>1</sup>

description: Spatial heterogeneity is of great importance in social, economic, and environmental science studies. The spatially varying coefficient model is a popular and effective spatial regression technique to address spatial heterogeneity. However, accounting for heterogeneity comes at the cost of reducing model parsimony. To balance flexibility and parsimony, this article develops a class of generalized partially linear spatially varying coefficient models which allow the inclusion of both constant and spatially varying effects of covariates. Another significant challenge in many applications comes from the enormous size of the spatial datasets collected from modern technologies. To tackle this challenge, we design a novel distributed heterogeneity learning (DHL) method based on bivariate spline smoothing over a triangulation of the domain. The proposed DHL algorithm has a simple, scalable, and communication-efficient implementation scheme that can almost achieve linear speedup. In addition, this article provides rigorous theoretical support for the DHL framework. We prove that the DHL constant coefficient estimators are asymptotic normal and the DHL spline estimators reach the same convergence rate as the global spline estimators obtained using the entire dataset. The proposed DHL method is evaluated through extensive simulation studies and analyses of U.S. loan application data.
DOI: 10.6084/m9.figshare.26242151.v1
title: Anovas.Hyperspectral Analysis of Primed Lettuce Seeds.pdf

description: ANOVA and MANOVA of Spectral Data of Lettuce Seeds from Two Genotypes Subjected to Priming.ANOVA was used to examine differences in hyperspectral bands based on cultivar and seed treatment (non-primed, wet primed, dry primed, and stored primed). The experiment was established using a randomized complete block design (10 lots) with two factors: the first factor was the cultivar (2 levels), and the second factor was the seed treatment (4 levels).Subsequently, a MANOVA was conducted to evaluate how the treatments influenced the hyperspectral properties of the seeds. Various statistical criteria, such as Pillai's trace, Hotelling-Lawley trace, Wilks' lambda, and Roy's largest root, were used to determine the significance of the treatments considering all response variables (Cheng et al., 2023b; Xu et al., 2022).4o
DOI: 10.17632/k6mgyn7hgk
title: Raw data for "Improved Interface State Density by Low Temperature Epitaxy Grown AlN for AlGaN/GaN Metal-Insulator-Semiconductor Diodes" paper

description: Data associated with paper "Improved Interface State Density by Low Temperature Epitaxy Grown AlN for AlGaN/GaN Metal-Insulator-Semiconductor Diodes"
DOI: 10.17632/t4cbzmdt56
title: Pre-Existing Inflammatory Disease Predicts Cutaneous Immunotherapy Toxicity Development: A Multi-Institutional Cohort Study

description: Supplemental methods, figures, and tables.
DOI: 10.6084/m9.figshare.9777656.v1
title: Spatiotemporal analysis of systematic surveillance data enables climate-based forecasting of Lassa fever

description: This dataset, collated by the Nigeria Centre for Disease Control (NCDC), consists of weekly epidemiological reports of acute human LF cases collected by all 774 local government authorities (LGAs) across Nigeria between 2012 and 2018.
DOI: 10.17632/k3f25mcdbh
title: Is HbA1c in the first trimester associated with adverse outcomes among pregnant Asian Indian women without gestational diabetes?

description: Aims: The aim of this study is to determine the association of elevated HbA1c in the first trimester (HbA1c-FT) with adverse events among pregnant Asian Indian women without gestational diabetes (GDM).
Methods: This retrospective cohort study included 1618 pregnant women who delivered at a single urban tertiary care center and had HbA1c-FT estimation between January 2011 and December 2017. Those with GDM according to a 75-g OGTT after 24 gestational weeks were excluded. Multivariable logistic regression models assessed the association between elevated HbA1c-FT and adverse events.
Results: At a cutoff of >37 mmol/mol, HbA1c-FT was associated with preterm birth at <37 gestational weeks (adjusted odds ratio (OR) 2.10, 95% CI 1.11-3.98). There was a continuum of risk for primary caesarean delivery with higher HbA1c-FT levels (adjusted OR per 5-mmol/mol increase in HbA1c-FT for primary caesarean delivery: 1.27, 95% CI 1.06-1.52). In the crude analysis, gestational hypertension was associated with HbA1c-FT, but not after adjustment for confounding factors. HbA1c-FT was not associated with other adverse events (macrosomia, large for gestational age babies, or other neonatal complications).
Conclusions: Even without GDM, the results suggest an association of HbA1c-FT with preterm birth and primary caesarian delivery among Asian Indian women
Statistical analysis
A data analysis was performed in the statistical software SPSS version 16.0 (Chicago, SPSS Inc.). The data were summarized with the mean and standard deviation for continuous variables and as numbers with percentages for qualitative variables. The clinical data and other variables in the HbA1c-FT groups were compared using an unpaired student’s t-test for continuous variables and a chi-squared test for categorical variables. The adverse pregnancy events were compared among women with HbA1c-FT below 37 mmol/mol and those with levels equal to or above 37 mmol/mol(5.5%). Cohen’s d and Cohen’s h effect size were determined. 
Furthermore, crude odds ratios (OR) for each adverse pregnancy events among women with HbA1c-FT > 37 mmol/mol (5.5%) were estimated. The continuous association of each adverse event with HbA1c-FT on a logit scale was analyzed, and the crude ORs were calculated per 5-mmol/mol (0.5%) rise in HbA1c-FT levels. The linearity condition of continuous variables was tested using squared terms and retained in cases of p value < 0.05. The study population was also stratified into four HbA1c categories: <30, 30-32, 33-36, 37-46 mmol/mol (<4.9, 4.9-5.1, 5.2-5.4, and 5.5-6.4%). Using HbA1c < 30 mmol/mol (4.9%) as a reference level, the crude OR for adverse pregnancy events was calculated for higher HbA1c categories. 
For adverse events with a crude OR p-value <0.05 in the HbA1c-FT based on the cutoff value (5.5%, 37 mmol/mol) (Table 1) in the continuous analysis (Table 2) and categorical analysis (Table 3), three multivariable logistic models were performed.
DOI: 10.17632/vd5vmgr8kg
title: Images of Pigs at Different Stages From a Group of Shandong Farms

description: (1)A set of images of pigs in different stages from Shandong, China. After,years of image acquisition, more than one images, videos and video frame extraction images of piglets (including piglets around 50 days old and 70-80 days old), fattening pigs, sows and male breeding pigs were collected.(2) The dataset contains 63 images for piglets around 50 days, 139 images for those between 70 and 80 days, 91 images for fattening pigs at 160 days and 26 images for sows.(3) The dataset contains 1 video for piglets at about 50 days, 3 videos for those at 70-80 days, 5 videos for fattening pigs at 160 days, 4 videos for sows, and 4 videos for male breeding pigs.(4) Pig dataset from pig farms in Shandong for visual feature-based classification.(5) The dataset of multi-class problem is called multi-class problem because it has visual features such as reducing the chance of overfitting, improving accuracy, and reducing the training time of the model.
DOI: 10.6084/m9.figshare.26536375.v1
title: Dataset I, II, and III

description: The dataset utilized in the study ‘Shotgun Crystal Structure Prediction Using Machine-Learned Formation Energies’ as benchmark tests. You can use pandas.read_pickle to load it in Python.
DOI: 10.6084/m9.figshare.27173178.v1
title: Enformer Celltyping Performance data Fig. 3a

description: Enformer Celltyping Performance data Fig. 3a - for manuscript
DOI: 10.6084/m9.figshare.25540090.v1
title: Crotalus_adamanteus_primary_genome_assembly

description: Chromosome-level and haplotype-resolved genome assembly of Crotalus adamanteus using PacBio HiFi and HiC data.This is the primary genome assembly linked to the BioSample SAMN30275639 in NCBI.<br>
DOI: 10.17632/fbnsnh3fk6
title: PREVALENCE OF MUSCULOSKELETAL INJURIES IN GYM GOING ADULTS: A SURVEY STUDY

description: TITLE- PREVALANCE OF MUSCULOSKELETAL INJURIES IN GYM GOING ADULTS: A SURVEY STUDY
Background and Objective- Gym workouts have well documented advantages but despite of advantages participating in these activities can also lead to musculoskeletal injuries. This survey study aims to investigate how prevalent these injuries among gym going adults. By collecting data, we can come to know about the potential risk associated with gym exercise and also develop preventive measures.
Methodology- A survey was done to evaluate musculoskeletal injuries for 317 participants. A self-designed survey questionnaire was created to data on demographics, duration of gym going , purpose of gym going and part of body got injured etc. For this Google form has been created and share via scanning QR code and online sites.
Results- Result of the study is that out of 317 participant’s 85 participant’s experiences injury while doing gym exercises in the percentage of 27% and others will not. Most commonly injured part is shoulder in 35% participants. 55% of the participants accepting that there would be a relationship between the absence of instructor during training and injury and 45% were not accept that there could be any relationship.
Conclusion- The present study shows that only 27% people in the gym experiences injuries. This study shows that there is the relationship between the presences of trainers and occurrence of injury. When there is trainer present in the gym at the time of performing exercise, the rate if occurrence of injury is less and vice versa.
Keywords - Musculoskeletal Injuries, Pain, Musculoskeletal pain, Soft tissue injuries, Prevalence.
DOI: 10.6084/m9.figshare.17104829.v5
title: CG. Report 6: The effects of Covid-19 in Care Homes: Mixed Methods Review

description: The data is from a mixed-methods approach to address address three main questions:1 What were the mortality rates in care homes by country? 2. How does the mortality in care homes compare with previous periods? 3. What explains any excess mortality in care homes?List of Tables available in FigshareTable 1. Excess Deaths Study Characteristics Table 2. Care Homes Excess Deaths Study OutcomesTable 3. Quality Assessment: Care Home Excess Deaths studies: Newcastle Ottawa ScaleTable 4. Care Home intervention/exposure studies characteristics Table 5. Care Home intervention/exposure studies outcomesTable 6. Quality Assessment: Care Home Intervention/Exposure studies: Newcastle Ottawa ScaleFigure 1. Flow chartProtocol available at FigshareAppendix 1 National Mortality Data<br><br>
DOI: 10.6084/m9.figshare.26022001.v1
title: SAIL - Fair weather atmospheric electric field data

description: Dataset of selected atmospheric electric field observations derived from the dataset of primary corrected electric field observations by applying the following criteria: - Non-negative Potential Gradient values;- Observations flagged as fully-ocean day;- Dry day, according to manual precipitation records;- Clear sky (meteorological optical range &gt;= 30,000 meters);<br>Datafiles structure:column 1: date/time (yyyy-mm-dd HH:MM:SS)column 2: potential gradient 1-minute average (V/m)column 3: longitude (degrees E)column 4: latitude (degrees N)Missing values are denoted by NA.
DOI: 10.6084/m9.figshare.3122104.v1
title: Drake_NewPhyt_2016_WTC3_RtoGPP_forfigshare.zip

description: Photosynthesis and respiration at the leaf and canopy scales for Eucalyptus tereticornis trees grown in whole-tree chambers at the Hawkesbury Forest Experiment. <br>Eucalyptus tereticornis trees were field-grown in large (9-m-tall) whole-tree chambers and exposed to ambient or +3 degrees C warming near Richmond, NSW, Australia. Files contain data regarding the meteorology experienced by each tree (air temperature, air humidity, incident light, etc), tree growth (diameter and stem length), tree moisture status (predawn and midday leaf water potentials), and the exchange of CO2 and H2O of leaves, branch wood, and whole tree canopies. Extensive documentation for each datafile exist within the zipfile.<br><br>These data files were used for the manuscript: <br><br>Drake JE, MG Tjoelker, MJ Aspinwall, PB Reich, CVM Barton, BE Medlyn, R Duursma, (accepted by New Phytologist) Does physiological acclimation to climate warming stabilize the ratio of canopy respiration to photosynthesis?<br>
DOI: 10.15482/usda.adc/1523372
title: Data from: Towards predicting biochar impacts on plant-available soil nitrogen content
DOI: 10.6084/m9.figshare.20338089.v4
title: allen_brain.h5ad

description: Anndata format of the adult mouse brain atlas generated by reasearchers the Allen institute (Tasic et al.), together with inferred cell type colocalization information, as described in Dimitrov et al, 2022. <br> <br> Tasic, B. et al. Adult mouse cortical cell taxonomy revealed by single cell transcriptomics. Nat. Neurosci. 19, 335–346 (2016). <br> Dimitrov, D., Türei, D., Garrido-Rodriguez, M., Burmedi, P.L., Nagai, J.S., Boys, C., Ramirez Flores, R.O., Kim, H., Szalai, B., Costa, I.G. and Valdeolivas, A., 2022. Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data. <em>Nature Communications</em>, <em>13</em>(1), pp.1-13.
DOI: 10.6084/m9.figshare.22688017.v1
title: New and simplified manual controls for projection and slice tours, with application to exploring classification boundaries in high dimensions

description: This paper describes new user controls for examining high-dimensional data using low-dimensional linear projections and slices. A user can interactively change the contribution of a given variable to a low-dimensional projection, which is useful for exploring the sensitivity of structure to particular variables. The user can also interactively shift the center of a slice, for example, to explore how structure changes in local subspaces. The Mathematica package as well as example notebooks are provided, which contain functions enabling the user to experiment with these new manual controls, with one specifically for exploring regions and boundaries produced by classification models. The advantage of Mathematica is its linear algebra capabilities and interactive cursor location controls. Some limited implementation has also been made available in the R package tourr.
DOI: 10.17632/6m4j3vcnnk
title: Data for: Fecal Incontinence in Irritable Bowel Syndrome: Prevalence and Quality of Life

description: Cross-sectional survey data examining prevalence of fecal incontinence in IBS patients and predictors of HRQL.
DOI: 10.17632/stb99vj4fb
title: Drug adherence and medication related burden among co-morbid hypertensive and type-2 diabetes mellitus patients in a polyclinic in Greater Accra in Ghana

description: The data is from a cross-sectional survey of patients with co-morbid type-2 diabetes mellitus (T2DM) and hypertension in a health facility (Adabraka Polyclinic) in the Greater Accra Region of Ghana, West Africa. The data was collected from October 2021 to November 2021

The study focused on patients 18 years and above, presenting with a history of both  T2DM and hypertension diagnosis for at least six months, on medications and reported at the outpatient department of the hospital.  Patients on admission, those diagnosed with type 1 and gestational diabetes were excluded from the study.
DOI: 10.6084/m9.figshare.19187447.v1
title: largemouth bass_genome_gene_CDS&EXON

description: largemouth bass_genome_gene_CDS&EXON
DOI: 10.6084/m9.figshare.20437296.v1
title: Supplementary Material for: Associations of urinary and dietary sodium-to-potassium ratios with albuminuria in community-dwelling Japanese adults: a cross-sectional study

description: Introduction: The urinary sodium-to-potassium ratio is an indicator of dietary sodium intake and has been associated with reduced kidney function. However, less is known about its association with albuminuria, the other key component of chronic kidney disease, in the community-dwelling adult population. We examined the association of the spot urinary sodium-to-potassium ratio with albuminuria and compared spot urinary and dietary sodium-to-potassium ratios. Methods: We quantified the association of the urinary sodium-to-potassium ratio with albuminuria in 6,274 Japanese adults (age, 40–97 years; 50.9% women) based on spot urine samples. We performed linear and logistic regression modeling to account for potential confounders. Elevated albuminuria was defined as a spot urinary albumin-to-creatinine ratio (ACR) ≥ 30 mg/g. We secondarily evaluated the dietary sodium-to-potassium ratio based on a food-frequency questionnaire. Results: The median spot urinary and dietary sodium-to-potassium ratios were 2.70 (interquartile interval, 1.87–3.83) and 1.50 (1.21–1.84), respectively. The median ACR was 11.0 (6.0–24.0) mg/g. In a multivariable linear regression model, the spot urinary sodium-to-potassium ratio (per increment) was significantly associated with the natural logarithm of the ACR (regression coefficient, 0.023 [95% confidence interval [95% CI], 0.007–0.038]). This result was consistent in a multivariable logistic regression model (adjusted odds ratio, 1.08 [95% CI, 1.04–1.12]). The corresponding estimates for the dietary sodium-to-potassium ratio were 0.139 (95% CI, 0.087–0.191) and 1.28 (95% CI, 1.14–1.45), respectively. Conclusions: Both spot urinary and dietary sodium-to-potassium ratios were associated with elevated albuminuria in community-dwelling Japanese adults. Our findings further support the potential usefulness of the spot urinary sodium-to-potassium ratio as an indicator of sodium intake and suggest a link between sodium intake and kidney damage.
DOI: 10.17632/d4fmbwx7rm
title: JASMINUM GRANDIFLORUM FLOWER IMAGES

description: The Jasminum Grandiflorum dataset is meticulously organized into Training, Testing, and Validation folders, each subdivided into bud, flower, and shrunken categories. This framework facilitates robust image classification tasks and rigorous evaluation of deep learning models. The Training set contains images representing various developmental stages, crucial for training algorithms accurately. The Testing set provides unbiased assessment by containing separate images for model evaluation. Finally, the Validation set aids in refining models during training through fine-tuning and parameter optimization processes, ensuring their efficacy and adaptability.
DOI: 10.6084/m9.figshare.25663170.v1
title: Horan et al 2024: Repix: reliable, reusable, versatile chronic Neuropixels implants using minimal components

description: This is the data associated with Horan et al 2024 <b>Repix: reliable, reusable, versatile chronic Neuropixels implants using minimal components</b>. In it, we describe the development, deployment, and evaluation of Repix, a chronic implantation system that permits the repeated re-use of the Neuropixels probes and characterized this system for a variety of use cases.The code to produce the figure panels is at: https://github.com/mattiashoran/Repix
DOI: 10.17632/28w7zf9rdp
title: The data for Dynamics of Cu isotope fractionation during the reactions of pyrite with Cu(I)-bearing hydrothermal fluids

description: The data for Dynamics of Cu isotope fractionation during the reactions of pyrite with Cu(I)-bearing hydrothermal fluids
DOI: 10.17632/b6wxf6sr8b
title: Complete set of 79 Association-Rules extracted by FP-Growth using RapidMiner V10.2 (Association Rule & MS-OAP Research)

description: Complete set of 79 Association-Rules extracted by FP-Growth using RapidMiner V10.2 in the research about Association Rule & MS-OAP Research