cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-xs4-6x4w
title: #sleepingbaby on Instagram: adherence to Dutch safe sleeping advice

description: Safe sleep of infants is important to reduce the risk of Sudden Unexpected Death in Infancy (SUDI). The depiction of infant care behavior which is inconsistent with the safe sleep recommendations on social media has an impact on parental infant care thoughts, norms and behaviors. A systematic social media analysis on Instagram was performed using 22 hashtags and 9 accounts of Dutch companies or platforms related to infants to determine the adherence of Instagram images to the Dutch safe sleeping advice. 514 images of sleeping infants were analyzed on consistency with the criteria: supine sleeping position, own cot or crib, sleep sack, and an empty bed. For 311 images (60.5%), all four criteria could be rated, as for the others, at least one criterion was not clearly depicted. Only 6 of these images (1.9%) were consistent with all four criteria.
DOI: 10.17026/dans-zrb-48xt
title: Data from: Nature development in degraded landscapes: how pioneer bioturbators and water level control soil subsidence, nutrient chemistry and greenhouse gas emission

description: Data from: Nature development in degraded landscapes: how pioneer bioturbators and water level control soil subsidence, nutrient chemistry and greenhouse gas emissionPublished in PedobiologiaThis datafile originates from a laboratory study in which we studied the effect water level and two soil bioturbators on soil subsidence, soil crack formation, nutrient chemistry and greenhouse gas emission. The laboratory experiment that ran in 2018, used soils from a newly constructed archipelago (the Marker Wadden, the Netherlands) that was constructed to enhance the natural values of a deteriorating freshwater lake.This dataset contains data on soil subsidence, soil cracks, nutrients and greenhouse gas fluxes obtaind from the experiment described above.
DOI: 10.17026/dans-xd6-2fw9
title: Correlates of variability in endurance shuttle walk test time in patients with chronic obstructive pulmonary disease

description: Anonymized data of 245 patients with COPD, which was collected as part of standard care during baseline assessment of a comprehensive pulmonary rehabilitation program in Dekkerswald - Radboudumc (Nijmegen, The Netherlands) during september 2016 and december 2019.Inclusion criteria were a primary diagnosis of COPD according to the Global Initiative for Chronic Obstructive Lung Disease criteria and complete data availability regarding ISWT speed and ESWT speed and time.The dataset contains the following variables:Age, gender, length, weight, BMI, Fat free mass index (BIA), Hospital Anxiety and Depression Scale, CIS fatigue, mMRC score, COPD Assessment Test, pulmonary function (spirometry, static lung volumes and diffusion capacity), physical capacity (Cardiopulmonary exercise test; CPET), isometric muscle strength (Biodex), exercise tolerance (Constant work rate cycle test), Incremental shuttle walk test, endurance shuttle walk test, Charlson Comorbidity Index, use of betablockers during CPET.More information regarding the variables can be find in the readmefirst file and the codebook file.
DOI: 10.17026/dans-23n-dgs5
title: Smoking-induced subgingival dysbiosis precedes clinical signs of periodontal disease

description: Using 16 rRNA sequencing, a total of 233 subgingival sites from 8 smokers and 9 non-smokers over 6-12 months(804 subgingival samples total) were analyzed to study subgingival microbiome dysbiosis in smokers over time.
DOI: 10.17026/dans-zs5-a8wy
title: Data of 'In vitro effect of occlusal loading on cervical wall lesion development in a Class II composite restoration'

description: This dataset contains all data collected for the paper by Hollanders et al (Caries Res. 2022 doi: 10.1159/000522589).The paper describes an in vitro study investigating the effect of occlusal loading on secondary caries lesion development. 64 human molars received standardized (4.0x4.2x3.0 mm) box preparations. Composite restorations were made using two different restorative materials (Clearfil AP-X and Clearfil Majesty E-S flow) with different elastic moduli. A cervical gap (100 µm) was present in all samples. Samples were exposed to simulated caries lesion development in a lactic acid solution (pH 4.8) for 8 weeks. 4 samples were sliced and measured after 5 weeks to check lesion development. Half of the samples were subjected to 90N cyclic loading. Lesion depth was measured using microradiography.A full description of the study protocol can be found in the Methodology file. The Codebook describes the variables used in the analysis.The full dataset used for analysis is available in the file “2021_Hollanders_edited_complete dataset.csv”.The raw measured data which were used to compose the edited dataset can be found in three different files:“2021_Hollanders_raw_enamel thickness.csv” contains the values in µm measured in Adobe photoshop for each of the samples.“2021_Hollanders_raw_gap width.csv” contains the values in µm measured in Adobe Photoshop. There are three values for each sample. The average of these was used in the edited dataset.“2021_Hollanders_raw_lesion depth mineral loss.csv” contains the raw mesurements from the WIM program for measuring lesion depth and mineral loss. These measurements were arranged per sample to create the edited dataset.The syntax file (“2021_Hollanders_syntax.R”) can be run from top to bottom and will produce first descriptive data output and, subsequently, write the results of the regression analyses to different files. Data analysis was carried out in the R environment for statistical computing (R Core Team, 2013. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/.) with the aid of packages “tidyverse”, “readxl”, “dplyr”, and “psych”.
DOI: 10.17026/dans-x5s-qy46
title: EU-WISE: a patient observational study

description: EU-WISE is an integrated project under the 7th Framework Programme of the European Commission designed to focus on understanding capabilities, resources, and changes in health related practices in community and cultural context across EUROPE. This European collaboration will tackle the tricky problem of how to sustain and engage people with long-term conditions and limited resources in living healthy and fulfilling lives.Support from individual social networks, community organizations and neighborhoods is associated with better self-management and health outcomes. This international study examined the relative impact of different types of support on health and health-related behaviors in patients with type 2 diabetes.Observational study (using interviews and questionnaires) in a sample of 1,692 type 2 diabetes patients with 5,433 connections from Bulgaria, Greece, Netherlands, Norway, Spain, and the United Kingdom.
DOI: 10.17026/dans-xe8-qe8x
title: Focussen

description: In het Focussen project is een bestaande interventie voor de aanpak van ontremd gedrag bij de gedragsvariant van frontotemporale dementie doorontwikkeld en geëvalueerd op haalbaarheid en gebruikerservaringen. Naast een training voor zorg- en behandelteams die werkzaam zijn met deze doelgroep en bijbehorend handboek is een implementatiewijzer ontwikkeld ter ondersteuning van een succesvolle implementatie van de methodiek in zorgorganisaties.
DOI: 10.17026/dans-xcw-zyvh
title: Data from: “The impact of linear infrastructure on terrestrial vertebrate populations: A trait-based approach”

description: This dataset was created for our study on the impacts of linear infrastructure on the population abundance of vertebrate species. We obtained mean abundances and standard deviations of vertebrate populations in sites disturbed by infrastructure and corresponding undisturbed sites by searching for published peer-reviewed and grey literature. We extracted 3,912 pairwise abundance comparisons between disturbed and non-disturbed areas from 110 primary sources, spanning 26 countries and 6 continents and 160, 443, 97 and 92 species of mammals, birds, reptiles and amphibians, respectively. We also extracted the sample size and sampling effort per sample for each observation to perform meta-analyses per species group. Additionally, we extracted the mean distance to infrastructure in the disturbed sites to determine how infrastructure affects vertebrate populations as a function of distance and derive the mean infrastructure-effect zone for each species group using meta-regression models. Further, we extracted the type of infrastructure and habitat for each observation as well as the mean body mass for all species and diet for mammals and birds to determine how infrastructure impacts are modulated by environmental characteristics and species traits using meta-regressions.The results of this research will be published as:de Jonge, M. M. J., Gallego-Zamorano, J., Huijbregts, M. A. J., Schipper, A. M., & Benítez‐López, A. (in press). The impact of linear infrastructure on terrestrial vertebrate populations: A trait-based approach. Global Change BiologyThis dataset, as well as the R scripts for the corresponding analysis and the full fitted models are available at: https://github.com/MelindadeJonge/Infrastructure_MetaAnalysis.The data is stored in 4 files●2022_deJonge_Dataset_092022.csv: The full dataset including the sample size, mean abundance, standard deviation of the mean, habitat type, infrastructure type, source, location, species, and quality of each observation. For a description of how the data was extracted we refer the reader to: 2022_deJonge_Methodology_092022.pdf●2022_deJonge_speciesList_092022.csv: a list of all species included in the database together with their identification code, body mass (g), diet (only for mammals and birds) and body length (mm, only for amphibians).●2022_deJonge_CrossswalkInfrastructure.csv: Crosswalk to link the habitat types as reported in the database to a binary classification (open/closed).●2022_deJonge_CrosswalkHabitat.csv: Crosswalk to link the infrastructure types as reported in the database to the classification scheme used in the analysis (paved roads, unpaved roads, powerlines, other non-traffic infrastructure).Additional informationAn overview of the definitions and units of the variables in each file is given in the codebook: “2022_deJonge_Codebook_092022.pdf”A description of the methodology used to obtain the data is given in ‘2022_deJonge_Methodology_092022.pdf”A list of all data sources is given in “2022_deJonge_dataSources.pdf”
DOI: 10.17026/dans-x53-b696
title: The STArgardt Remofuscin Treatment Trial (STARTT): Design and Baseline Characteristics of Enrolled Stargardt Patients

description: The datasets contain all raw data and edited data used for analyses in the research "The STArgardt Remofuscin Treatment Trial (STARTT)".ABSTRACTBackgroundThis report describes the study design and baseline characteristics of patients with Stargardt disease (STGD1) enrolled in the STArgardt Remofuscin Treatment Trial (STARTT), EudraCT No. 2018-001496-20.MethodsA total of 87 patients with genetically confirmed STGD1 were randomized in a double-masked, placebo-controlled proof of concept trial to evaluate the safety and efficacy of 20 milligram oral Remofuscin for 24 months. The primary outcome measure is the change in mean quantitative autofluorescence value of an 8-segment ring centred on the fovea (qAF8). Secondary efficacy variables are best corrected visual acuity (BCVA), low-luminance visual acuity (LLVA), mesopic microperimetry (mMP), SD-OCT, reading speed on Radner reading charts, and patient-reported visual function as assessed by the National Eye Institute Visual Functioning Questionnaire 25 (NEI VFQ-25) and Functional Reading Independence (FRI) Index.ResultsMean age of the participants was 35±11 years and 49 (56%) were female. Median qAF8 value was 438 Units (range 210-729). Median BCVA and LLVA in decimal units were 0.50 (range 0.13-0.80) and 0.20 (range 0.06-0.63) respectively. The median of the mean retinal sensitivity with mMP was 20.4 dB (range 0.0-28.8). SD-OCT showed a median central subfield retinal thickness of 142 µm (range 72-265) and a median macular volume of 1.65 mm3 (range 1.13-2.19). Compared to persons without vision impairment, both reading performance and patient-reported visual function were significantly lower (p&lt;0.001, one sample t-test). Mean reading speed was 108±39 words/minute with logRAD-score of 0.45±0.28. Mean VFQ-25 composite score was 72±13. Mean FRI Index score 2.8±0.6.ConclusionsThis trial design may serve as reference for future clinical trials as it explores the utility of qAF8 as primary outcome measure. The baseline data represent the largest, multi-national, STGD1 cohort to date that underwent standardized qAF imaging, reading speed assessment and vision-related quality of life measures which all contribute to the characterization of STGD1.
DOI: 10.17026/dans-zqc-47f3
title: Test of templates for the European patient information leaflet for medicines - UK and Netherlands

description: In this project we performed an international study, done in the United Kingdom and the Netherlands into the effectiveness of the European template for patient information leaflets. The results demonstrate serious problems patients experience with the current template. We designed an alternative template and compared this with the current template. The practical conclusion of the paper is that the revised template enables patients to locate information more effectively, although not all interventions showed improvements.
DOI: 10.17026/dans-zb7-pfha
title: Demographic status and training needs of aesthetic plastic surgeons in government and private hospitals: evidence from Guangdong, China

description: The data is about the demographic status and training needs of aesthetic plastic surgeons in Guangzhou, China
DOI: 10.17026/dans-x75-ax7d
title: FEM growth and yield data monocultures - Austrian pine

description: The current database is a part of the FEM growth and yield database, a collecction of growth and yield data from even-aged monocultures (douglas fir, common oak, poplar, Japanese Larch Norway spruce, Scots pine, Corsican pine, Austrian pine, red oak and several other species with only a few plots, even-aged mixed species forest plots, uneven-aged natural forest, uneven-aged selection forest and roadside plantations of poplar. The FEM growth and yield data base is currently supervised by Jan den Ouden and Frits Mohren.
DOI: 10.17026/dans-zye-pv7k
title: Assessing a novel way to measure step count while walking using a custom mobile phone application

description: Walking speed has been associated with many clinical outcomes (e.g. frailty, mortality, joint replacement need, etc.). Accurately measuring walking speed (stride length x step count/time) typically requires significant clinician/staff time or a gait lab with specialized equipment (i.e., electronic timers or motion capture). In the present study, our goal was to measure “step count” via smartphones through novel software and to compare with that reported by step tracking software that come standard with iOS and Android smartphones as a first step in walking speed measurement.Our population was non-impaired individuals, 28.3 ± 9.9 years old. We collected data from 52 individuals, 6 conditions and 3 trials for each condition.
DOI: 10.17026/dans-zme-cqaf
title: Plant functional and taxonomic diversity in European grasslands along climatic gradients

description: Data information to the paperBoonman, C.C.F. et al. (2021) Plant functional and taxonomic diversity in European grasslands along climatic gradients. Journal of Vegetation Science. DOI: 10.1111/jvs.13027Here, we discuss how both functional and taxonomic diversity of European grasslands change along temperature and precipitation gradients. We compare trends and discuss functional richness effect sizes which correct functional richness values for local taxonomic richness. Specifically, assessed the variation along a minimum temperature, annual temperature range, annual precipitation, and precipitation seasonality gradients.Species occurence data was collected from the European Vegetation Archive. This data was linked to trait data from the TRY database. We used species averages of specific leaf area (SLA), leaf nitrogen concentration (LNC), plant height, seed mass, specific root length (SRL), and rooting depth (i.e., not including intraspecific trait variation). Gaps of missing trait data was filled using the ‚mice‘ function of the mice package. Per plant community, taxnomic richness (number of species) was calculated. Further, the functional richness was calculated as the convexhull volume (see paper for more details). And effect sizes were calculated with a null model which randomly shuffles species trait values in the trait dataset but retains species’ trait combinations.For the European analysis, we used the average of the original functional richness values and effect size values in one grid cell (~1 km2) if more than one plot was sampled. This resulted in 19,179 data points and grid cells that were regressed along climate variables using a multiple general additive modelling approach.The data files include diversity data, longitude and latitude, and various climate variables. In addition, we included two Rscripts that calculate the functional richness effect size. The README.txt describes all files in more detail.
DOI: 10.17026/dans-xf2-y2vy
title: Water Quality research Loosdrecht lakes (W.Q.L.)

description: The Water Quality research Loosdrecht lakes (W.Q.L.) database consists of measured parameters and reports from the W.Q.L. project. The W.Q.L. project itself started in 1979 and continued for 12 years to study the restoration and recovery of the shallow eutrophic Loosdrecht lakes (the Netherlands), and to evaluate the water management measures taken. During the W.Q.L. many water quality parameters have been measured and based on these measurements reports have been produced. Now, all W.Q.L. project reports from the Limnological Institute and those with permission of its publisher, as well as a database with water quality parameters have been uploaded here.All scanned reports and the parameter database are endproducts of the 'Parels van data' (Pearls of data) project aimed to make the NIOO archive digital available for anyone to use.
DOI: 10.17026/dans-xks-j3gk
title: Monthly leaf area index generated using Sentinel-2 for Bavarian Forest National Park in 2018

description: Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2018 over Bavarian Forest National Park, Germany, applying an enhanced vegetation index (EVI)-based model as an empirical approach. The LAI products were utilised as an input for estimating Net Primary Productivity using the LPJ-GUESS model as the deliverable for the EO4Diversity project funded by the European Space Agency (ESA).
DOI: 10.17026/dans-xs2-44qq
title: Leaf traits and infrared spectra of 20 plant species

description: A project that study the infrared spectra of 20 plant species (herbaceous and woody plants) and their leaf traits including microscopic measurements of the leaves, leaf water content, lignin, cellulose, carbon, and nitrogen content.
DOI: 10.17026/dans-xun-epxm
title: The NECK trial: Effectiveness of anterior cervical discectomy with or without interbody fusion and arthroplasty in the treatment of cervical disc herniation;

description: The NECK trial: Effectiveness of anterior cervical discectomy with or without interbody fusion and arthroplasty in the treatment of cervical disc herniation; a double-blinded randomised controlled trial.
DOI: 10.17026/dans-2b2-kf3a
title: The role of social support and social norms in support for solidarity in healthcare financing

description: Dataset used for publication 'Social context matters: the role of social support and social norms in support for solidarity in healthcare financing'Although people are generally very supportive of collectively financed healthcare systems, there are differences in the level of support between groups. Previous studies have looked into both mechanisms at the individual level (micro level) and mechanisms at the level of the healthcare system as a whole (macro level) in order to explain these differences. However, the social context of people may also play a role. Little research has been conducted into this. Because of this, this study focused on the role of perceived social support and social norms in support for solidarity in healthcare financing. We showed that people who perceive higher levels of social support are more willing to contribute to the healthcare costs of others. We also found that the willingness to contribute is higher when someone’s social context is more supportive of healthcare systems that are financed according to the principles of solidarity. This effect does not differ between people who perceive low and high levels of social support. Our results suggest that, next to the individual and institutional level, the social context of people has to be taken into consideration in policy and research addressing support for solidarity in healthcare financing.
DOI: 10.17026/dans-znq-duxs
title: data for COVID-19

description: This data is used to analyze factors related to COVID-19
DOI: 10.17026/dans-zke-kjvz
title: HANDS - Visual feedback improves movement illusions induced by tendon vibration after chronic stroke

description: The aim of our study was to investigate which modalities of visual cues administered using Virtual Reality (VR) associated with a tendon vibration of wrist could induce the best illusion of movement among stroke participants.
DOI: 10.17026/dans-zmc-8ksp
title: Monthly leaf area index generated using Sentinel-2 for Bavarian Forest National Park in 2017

description: Monthly Leaf Area Index (LAI) products with a 20-meter resolution were generated using Sentinel-2 data for 2017 over Bavarian Forest National Park, Germany, applying an enhanced vegetation index (EVI)-based model as an empirical approach. The LAI products were utilised as an input for estimating Net Primary Productivity using the LPJ-GUESS model as the deliverable for the EO4Diversity project funded by the European Space Agency (ESA).
DOI: 10.17026/dans-xva-424m
title: Data of 'Relating plant height to demographic rates and extinction vulnerability'

description: This dataset was developed for our study on plant allometry and extinction vulnerabilities. In this study we gathered plant demographic data from various sources and related this to maximum plant height. We derived allometric relationships with maximum plant height for the intrinsic population growth rate, variance in population growth rate due to environmental stochasticity and the maximum plant density. These relationships were used to relate maximum plant height to the Mean time to extinction and the Probability of extinction. The results of this research will soon be published as ‘Relating plant height to demographic rates and extinction vulnerability’ (forthcoming).In this repository we provide only the processed data from this study because the original data was gathered from existing open access and semi-open access databases. Original data for this project was gathered from the following databases: (1) TRY Plant Trait Database, (2) COMPADRE Plant Matrix Database Version 4.0.1, (3) Biomass allocation and growth data of seeded plantsThe processed data is stored in two files:- 2017_deJonge_MaximumPlantDensity.csv: This file contains 230 datapoints with maximum plant density (per square meter) and average individual plant mass (grams).A description of the methodology used to obtain the processed data is given in a PDF file called ‘2017_deJonge_Methodology.pdf’. Additionally, a description file called 'description.pdf' is added, which includes the information mentioned above.