cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2172832
title: Images and statistical analysis of alfalfa root crowns from inside and outside disease rings caused by cotton root rot

description: This repository contains raw image data of root crowns imaged using the backlit RhizoVision Crown platform of alfalfa plants from either inside or outside disease rings caused by cotton root rot for a manuscript to be submitted. Data files and the R scripts are included for complete statistical analysis associated with the imaged root crown set. Please cite both this repository and below journal article if reusing this data for a publication. <strong>Manuscript Title:</strong> Digital imaging to evaluate root system architectural changes associated with soil biotic factors <strong>Authors: </strong>Chakradhar Mattupalli, Anand Seethepalli, Larry M. York, Carolyn A. Young <strong>Journal Article: </strong>https://doi.org/10.1094/PBIOMES-12-18-0062-R (open access) <strong>Image Files</strong> afalfa_roots_raw_images.zip - 264 images in PNG format directly from a monochrome camera with gamma at 3.9 to make near-segmented raw images in greyscale alfalfa_feature_images.zip - 264 images in PNG format with a subset of computed features overlaid alfalfa_segmented_images.zip - 264 black and white, binary images in PNG format that result from simple thresholding of the raw images I_scale_1.png - an image of a 6 inch ruler for extracting pixel to physical unit conversion metadata.csv - metadata output from RhizoVision Analyzer with diameter ranges and other options used for image analysis <strong>Statistical Analysis</strong> alfalfaCRR_features_10012018.csv - extracted features from RhizoVision Analyzer v1.0.3 - called by name in R script RootArchitectureFieldStudyimagetoIDmap.csv - mapping of image file names to plot identity - called by name in R script manuscript complete root rot RVC analysis.R - R script with all analysis that used the data from the imaged root crowns
DOI: 10.5281/zenodo.4286099
title: Longitudinal data to explore changes in flood risk awareness and preparedness

description: This upload includes two different longitudinal datasets. The Panel datasets includes two rounds of surveys where the same individuals were interviewed. The Repeated Cross-Sectional includes two rounds of surveys where different individuals were interviewed in each round. The first survey round is the same in the two datasets. Data were collected in the municipality of Negrar (VR), in North-eastern Italy in February 2019 and in February 2020, following a flash flood which occurred in September 2018.
DOI: 10.6084/m9.figshare.4836191
title: Outcomes of a user testing session involving six users in writing a scholarly article with RAJE

description: Outcomes of experimenting RASH Javascript Editor (RAJE)<br><br>These are the outcome results of the first RAJE test. All testers are anonymous.<br><br>Content of the archive:<br>1. <b>background.csv</b> It contains the answers from testers about own background experience<br>2. <b>sus.csv</b> It contains the answers of SUS questions<br>3. <b>grounded_analysis.ods</b> It contains the raw-text answers to capture feedback and produce the grounded analysis, and the result tables (with micro and macro cateogries).<br>4. <b>result_screens/</b> It is a folder containing the screenshots of the result scripts.<br><br>
DOI: 10.5281/zenodo.5895265
title: Moana Ocean Hindcast

description: The <strong>Moana Ocean Hindcast </strong>model is a 25+ years 3D hydrodynamic hindcast for New Zealand waters. While this repository contains sample files, the full dataset can be downloaded from the project webpage at https://www.moanaproject.org/<br> Model results are available as hourly and daily average values for temperature, salinity, velocity (u, v, w), and sea surface elevation. A full description of the simulation is provided by Souza <em>et al. </em>(in preparation for submission to <em>Geoscientific Model Development</em>).
DOI: 10.18462/iir.thermag.2016.0160
title: Thermal energy harvesting: thermomagnetic versus thermoelectric generator.

description: We compare the efficiency and the power density of thermoelectric and thermomagnetic generators at maximum power. The performances of thermomagnetic generator are computed using an equation of state, either extrapolated from experimental data for 2nd order transition or deduced using a phenomenological Landau model on measured data for 1st order transition. The performances of thermoelectric generator are computed using the Onsager model. Moreover, the heat exchange in finite time is estimated using a simple model of thermal conductance. According to the results, thermomagnetic generator is more efficient and have slightly higher power density than thermoelectric for temperature difference lower than 10 K. Therefore low grade heat thermal energy harvesting could consider thermomagnetic generator.
DOI: 10.25921/j7n9-2q77
title: EK60 Water Column Sonar Data Collected During RL1807
DOI: 10.5281/zenodo.5747732
title: Federated learning dataset: A case study of vibration analysis for desktop 3D printers

description: This dataset contains the acceleration data collected from six low-cost 3D printers (same make and model) air-printing cubes with different printing speeds. This dataset can be used as a case study for federated learning, personalized learning, etc.
DOI: 10.5281/zenodo.7104638
title: Dataset for "Cognitive behavioural therapy self-help intervention preferences among informal caregivers of adults with chronic kidney disease: an online cross-sectional survey"

description: Data and R code used for the analysis of data for the publication: Coumoundouros et al., Cognitive behavioural therapy self-help intervention preferences among informal caregivers of adults with chronic kidney disease: an online cross-sectional survey. BMC Nephrology <strong>Summary of study</strong> An online cross-sectional survey for informal caregivers (e.g. family and friends) of people living with chronic kidney disease in the United Kingdom. Study aimed to examine informal caregivers' cognitive behavioural therapy self-help intervention preferences, and describe the caregiving situation (e.g. types of care activities) and informal caregiver's mental health (depression, anxiety and stress symptoms). Participants were eligible to participate if they were at least 18 years old, lived in the United Kingdom, and provided unpaid care to someone living with chronic kidney disease who was at least 18 years old. The online survey included questions regarding (1) informal caregiver's characteristics; (2) care recipient's characteristics; (3) intervention preferences (e.g. content, delivery format); and (4) informal caregiver's mental health. Informal caregiver's mental health was assessed using the 21 item Depression, Anxiety, and Stress Scale (DASS-21), which is composed of three subscales measuring depression, anxiety, and stress, respectively. Sixty-five individuals participated in the survey. See the published article for full study details. <strong>Description of uploaded files</strong> 1. ENTWINE_ESR14_Kidney Carer Survey Data_FULL_2022-08-30: Excel file with the complete, raw survey data. Note: the first half of participant's postal codes was collected, however this data was removed from the uploaded dataset to ensure participant anonymity. 2. ENTWINE_ESR14_Kidney Carer Survey Data_Clean DASS-21 Data_2022-08-30: Excel file with cleaned data for the DASS-21 scale. Data cleaning involved imputation of missing data if participants were missing data for one item within a subscale of the DASS-21. Missing values were imputed by finding the mean of all other items within the relevant subscale. 3. ENTWINE_ESR14_Kidney Carer Survey_KEY_2022-08-30: Excel file with key linking item labels in uploaded datasets with the corresponding survey question. 4. R Code for Kidney Carer Survey_2022-08-30: R file of R code used to analyse survey data. 5. R code for Kidney Carer Survey_PDF_2022-08-30: PDF file of R code used to analyse survey data.
description: This work was supported by the European Union's Horizon 2020 research and innovation program under the Marie-Sklodowska Curie grant agreement No 814072, and supported by U-CARE, a strategic research environment funded by the Swedish Research Council (dnr 2009–1093).
DOI: 10.5441/002/edbt.2019.85
title: CLRL: Feature Engineering for Cross-Language Record Linkage
DOI: 10.5521/forestplots.net/2020_8
title: Data package from 'Pantropical variability in tree crown allometry' Global Ecology and Biogeography 2021. DOI: 10.1111/geb.13231
DOI: 10.17632/3kn4jdd4kf.2
title: Gaze recording - Free observation of human faces

description: (From the paper: V. Cantoni, C. Galdi, M. Nappi, M. Porta, D. Riccio, "GANT: Gaze ANalysis Technique for Human Identification". Pattern Recognition, Vol. 48, No. 4, 2015, pp. 1027-1038) A total of 112 volunteer observers (73 males and 39 females) took part in the trials, subdivided into the following age groups: 17–18 (11 participants), 21–30 (58), 31–40 (9), 41–50 (16), 51–60 (8), 61–70 (9), and 71–80 (1). All participants reported normal or corrected-to-normal vision. Before the experiments, participants were informed about the fact that some images, without specifying their kind, would appear on the eye tracker's display in full screen mode. Data were acquired through the Tobii 1750 eye tracker (1280×1024 screen resolution, 50 Hz sampling frequency), using human face images as experimental stimuli. The Tobii ClearView gaze recording software was used to define stimuli and record gaze data. The images were interleaved with blank white screens with a cross at the center, to ensure a common starting location for stimulus exploration. The first blank screen was displayed for 5 s, while the others for 3 s. The presentation order of images was random. Behind the eye tracker there was a wall painted in neutral gray and the illumination of the room was uniform and constant. All images had similar gray-level distributions. Each test was also preceded by a calibration procedure, lasting about 10 s and consisting in following a moving circle on the screen. Participants were then instructed to look at the cross when the blank screen was displayed, and to freely watch wherever they wanted when the images were presented. Each stimulus image was shown for 10 s. Sixteen gray-level pictures (s1-s16) were employed containing close-up faces of eight males and eight females. Four males and four females were of famous people, while the others were of people unknown to the observers. Two extra images (s17 and s18) depicting landscapes were also included. A first set S1 of tests were carried out in 2012 with 88 participants. Of these, 36 were involved in a second session (with the same images), and 16 other participants were also involved in a third test session. One hundred forty tests were thus carried out in the three sessions. Time intervals between the first and the second session, and between the second and the third session, ranged from a minimum of 5 days to a maximum of 9 days. A second set S2 of tests, with 34 participants, were implemented after one year from S1 (2013). Ten observers in this group had been involved in S1 as well. Three sessions were organized: 17 observers out of 34 were involved in a second session (nine of whom had participated in S1), and 13 took part in a third session (six of whom had participated in S1). Sixty four tests were thus carried out in the three sessions. Time intervals between the first and the second session, and between the second and the third session, ranged from a minimum of one day to a maximum of 21 days.
DOI: 10.5281/zenodo.7455305
title: Dataset from: Leveraging open tools to realize the potential of self-archiving: A cohort study in clinical trials

description: This record includes the data associated with the study "Leveraging open tools to increase the potential of self-archiving to increase discoverability: A cohort study in clinical trials". The code used to generate these data is available under an open license in GitHub (https://github.com/delwen/oa-archiving-permissions). The deposit includes: - `intovalue.csv`: download of the IntoValue dataset (IntoValue 1 and IntoValue 2), which is actively maintained in GitHub (https://github.com/maia-sh/intovalue-data). The data was downloaded on 17 December 2022. More information on the generation of this dataset can be found at: https://doi.org/10.5281/zenodo.5141343. This data corresponds to the start of the trial screening flow diagram in the manuscript (n = 3,788). - `oa-unpaywall.csv`: dataset containing the results of the Unpaywall API query (query date: 17 December 2022). The dataset queried includes the following adaptations from `intovalue.csv`: As updated registry data had been downloaded on 1 November 2022, the IntoValue inclusion criteria were re-applied: Interventional Study completion date between 2009 and 2017 Complete based on study status Conducted by a German university medical center. The dataset was further limited to: Unique trials (trials from IntoValue 2 were preserved) Unique publications with a DOI - `oa-syp-permissions.csv`: dataset containing the results of the Shareyourpaper API query (query date: 17 December 2022). The dataset queried is the same as in `oa-unpaywall.csv`. - `oa-merged-data.csv`: dataset containing the merged Unpaywall and Shareyourpaper data for all clinical trial results publications considered in this study. The dataset was further limited to journal articles that resolved in Unpaywall and were published between 2010 - 2020 (based on the publication date in Unpaywall). This is the main dataset underlying the analyses in the manuscript.
description: This research was funded by the Bundesministerium für Bildung und Forschung, grant number 01PW18012.
DOI: 10.5281/zenodo.4959169
title: Deep attention networks for automated collective behavior discovery in epithelia

description: This dataset contains the raw timelapse movie data and parsed cell trajectory data, in the form of XML files, for the experimental data as described in our paper, "Deep attention networks for automated collective behavior discovery in epithelia". Timelapse movies (both transmitted light images and fluorescence images highlighting cell nuclei) are provided for human umbilical vein endothelial cells (HUVEC), Madin-Darby Canine Kidney (MDCK) cells, and MDA-MB-231 cells (a breast cancer line). XML files containing cell trajectory data (2D points in time) are provided for these same cell types. Trajectories are taken from the bulk region of the tissue (see paper) and XMLs are generated using the TrackMate plugin in ImageJ/FIJI. For MDCKs, additional XMLs are provided for cell trajectories taken from the edge region (see paper).
DOI: 10.6084/m9.figshare.21820221
title: Supplementary Material for: Peripapillary Retinoschisis as a Manifestation of Ocular Hypotony

description: The aim of this case report was to present an unusual case of peripapillary retinoschisis (PPRS) associated with ocular hypotony after glaucoma surgery. It refers to a 78-year-old man with primary open-angle glaucoma who developed PPRS while hypotonous. Optical coherence tomography of the peripapillary and the macular area of the right eye revealed PPRS temporally and nasally to the optic disc, more prominent at the level of the outer nuclear layer and less so at the inner nuclear layer. The PPRS completely regressed after 1 month of treatment and restoration of intraocular pressure to normal levels. This case report highlights the fact that PPRS in glaucoma patients may present in the setting of ocular hypotony and appears to resolve when the hypotony is successfully managed. Hydrostatic pressure gradient across retinal vasculature that allows movement of fluid into the extracellular spaces is a potential mechanism for the development of PPRS in ocular hypotony.
DOI: 10.6084/m9.figshare.21820527
title: Supplementary Material for: Large Number of Eyelashes in the Lacrimal Sac Found by Dacryoendoscopy: A Case Report

description: Foreign objects sometimes enter the lacrimal sac. Here, we report the case of a patient with many comb-shaped eyelashes in the lacrimal sac and discuss the potential of using dacryoendoscopy to detect and remove foreign bodies from the lacrimal apparatus. A 65-year-old woman with a teary eye underwent dacryoendoscopy. There was no abnormality in the canaliculi. The internal ostium was blocked by a large number of black, comb-shaped eyelashes. Numerous bunched eyelashes covered with small white debris were found in the upper part of the lacrimal sac. No eyelash bundles were present from the lower lacrimal sac to the nasolacrimal duct, and the mucosa was normal. The saline was able to pass through; however, the lower part of the nasolacrimal duct was narrowed into a funnel shape. We widened it with a sheath while observing the endoscopy images. Eyelashes were flushed from the lacrimal sac through the nasolacrimal duct using the sheath and saline flow. A lacrimal tube was placed for 2 months and removed, and then the patient healed without dacryocystorhinostomy.
DOI: 10.18112/openneuro.ds003751.v1.0.0
title: Dataset on Emotion with Naturalistic Stimuli
DOI: 10.21227/ttcs-ak23
title: Authcode - Dataset

description: AuthCODE is a multi-device continuous authentication architecture that guarantees the privacy of users' sensitive data while provides good authentication performance thanks to an hybrid approach that combines the Mobile Edge Computing (MEC) and Cloud Computing paradigms. A Smart Office scenario where five users interact with their personal computers and smartphones have been used to generate the following five datasets and measure the AuthCODE performance..Dataset 1. Single-device behaviour profile obtained from the personal computer, comprising aggregated data about keyboard and mouse activity, as well as application usage statistics.Dataset 2. Single-device behaviour profile obtained from the mobile device, with application usage statistics.Dataset 3. Single-device behaviour profile with features computed from the sensors of the mobile device.Dataset 4. Multi-device behaviour profile combining the most relevant features of the mobile device and personal computer.Dataset 5. Multi-device behaviour profile generated from the active/inactive intervals of both devices. There are multiple sub-datasets regarding the window size utilised, from 1 hour to 24 hours.
DOI: 10.25921/2gmv-xn83
title: EK80 Water Column Sonar Data Collected During RL1807
DOI: 10.5281/zenodo.3459604
title: King Louie: DBMS Availability Evaluation Data Sets

description: These data sets provide all availability measurements as accompanying material for the research paper <strong><em>King</em> </strong><em><strong>Louie: Reproducible Availability Benchmarking of Cloud-hosted DBMS</strong> </em>that is presented in the 35th ACM/SIGAPP Symposium on Applied Computing (SAC ’20), March 30-April 3, 2020, Brno, Czech Republic.
DOI: 10.5281/zenodo.6481927
title: Dataset for ISSTA'22 Understanding Device Integration Bugs in Smart Home System

description: This is the dataset for the ISSTA`22 submission "Understanding Device Integration Bugs in Smart Home System". It contains 330 device integration bugs collected from the most popular open source SmartHome system, i.e., Home Assistant.
DOI: 10.5281/zenodo.7130638
title: Nonvolatile Electric-Field Control of Inversion Symmetry: Manuscript Data

description: Relevant Raw Data files for Main Text Figures of "Nonvolatile Electric-Field Control of Inversion Symmetry." Relaxation input and output files of the polar & antipolar phases (including structure .cif files) and the input and output files of the DOS calculation from Main Text Fig. 3
DOI: 10.5281/zenodo.7401541
title: FESOM2 Channel Data

description: Channel simulation data generated by the FESOM2 ocean model. LEITH uses a Leith viscosity parameterization and KBACK a kinematic backscatter eddy parameterization. Includes u and v velocities for 10 years (first year should be excluded due to spin up) as well as u and v dissipation tendencies via Leith viscosity (for LEITH) or both backscatter and dissipation tendencies of the kinematic backscatter parameterization (KBACK). For more details see Juricke, S., Danilov, S., Koldunov, N., Oliver, M., Sein, D. V., Sidorenko, D., et al. (2020). A kinematic kinetic energy backscatter parametrization: From implementation to global ocean simulations. <em>Journal of Advances in Modeling Earth Systems</em>, 12, e2020MS002175. https://doi.org/10.1029/2020MS002175
description: This data is a contribution to projects M3, L4, S1, and S2 of the Collaborative Research Centre TRR 181 "Energy Transfer in Atmosphere and Ocean" funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Project 274762653. The computational resources were supplied by the supercomputing facilities at the Alfred Wegener Institute in Bremerhaven.
DOI: 10.5441/002/edbt.2019.97
title: An Experimental Study on Network Immunization
DOI: 10.6084/m9.figshare.11944875
title: Replication Package "Dynamically Reconfiguring Software Microbenchmarks: Reducing Execution Time Without Sacrificing Result Quality"

description: This is the replication package for the ESEC/FSE 2020 paper "Dynamically Reconfiguring Software Microbenchmarks: Reducing Execution Time Without Sacrificing Result Quality".<br>A pre-print of the paper is available at https://t.uzh.ch/13k.<br>
DOI: 10.6084/m9.figshare.5808609
title: Online Material for "Associating Working Memory Capacity and Code Change Ordering with Code Review Performance"

description: Supplemental material for the paper "Associating Working Memory Capacity and Code Change Ordering with Code Review Performance". Contains a replication package, including the software used for the browser-based experiment UI, the analysis scripts, the raw data and various forms of processed data and some further materials. For more info, see "readme.txt".
DOI: 10.7910/dvn/bl6nmm
title: NFHS Policy Tracker for Districts and Parliamentary Constituencies of India

description: The National Family and Health Survey (NFHS) is a nationally representative multi-round survey that has afforded sample sources of health and development data throughout India. This dataset includes district- and parliamentary constituency-level changes for 55 indicators that commonly appear in the fourth round (NFHS-4) and the fifth round of the NFHS (NFHS-5) factsheets.
DOI: 10.17632/8k3vmfxpd3.1
title: The psychological impact of COVID-19 among psychiatric patients

description: The dataset entitled "Psychological impact of COVID-19 on psychiatric patients" entails 168 anonymous web survey responses of adults with psychiatric disorders from Saudi Arabia. The dataset entitled "General public sample" comprises 992 anonymous web survey responses of normal Saudi adults. Respondents have given digital informed consent for the data to be analyzed for prospective studies. Instruments involved in data collection include: a) The Depression Anxiety Stress Scale (DASS-21;Lovibond & Lovibond, 1995); b) The Impact of Event Scale-Revised (IES-R); c) COVID-related knowledge, perceptions/attitudes, use of precautionary measures, health change and; e) socio-demographic clinical information.
DOI: 10.25318/3210016901-eng
title: Number of farm operators by sex, age and paid non-farm work, historical data, inactive

description: Number of farm operators by sex, age and paid non-farm work from the Census of Agriculture, Canada and provinces, 1991 to 2016.