cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5g7gtm8nhc.1
title: ELECTRICAL RESISTIVITY TOMOGRAPHY CHARACTERIZATION OF THE KARSTIC ENVIRONMENT OF THE FURNA FEIA CAVE (BARAUNA / RN) INTEGRATED WITH LIDAR TECHNOLOGY

description: Studies related to the genesis and geometric characterization of karst features may contribute to a better understanding of the fluid behavior in these important reservoirs since they can work as flow barriers, ducts or even as reservoirs. Within the context, the Furna Feia caves, located in Baraúnas city/RN in the carbonates of Jandaíra Formation in the Potiguar Basin were selected for a geophysical characterization of karst features. Thereby, the Electrical resistivity method was used as a recognition character, in which the metric resolution allows to identify zones and peaks of different resistivities. The geological characteristics of the investigated area and the target (dimension and depth) are crucial factors for the success of the survey, as well as the choice of the electrode arrangement, the line length, and signal-to-noise ratio. Therefore, the selected cave was imaged and parameterized, comparing the results with the internal imaging obtained with the Terrestrial Laser Scanner (TLS). As a result, for the Furna Feia cave, 4 zones of apparent resistivity were delimited and correlated to the karst hydrological morphogenetic zones. In these zones, it was possible to identify a layer with high permeability that can be an analog, at an outcrop scale, of the Super-K layers found in the Pre-Salt. Was observed in the geoelectric profiles, the anomalies caused by the presence of the Furna Feia cave show divergence in relation to the geometry, position and dimension when compared to the cave geometry acquired with the TLS Because of factors that influence the detection of cavities in a 2D geoelectric profile, such as edge effects, cavity inclination and declination, set of small cavities and fractures near the cave. Based on the information obtained through the geoelectric profiles it is possible to presuppose the evolution of the processes in which the Furna Feia cave was formed. Where the retention of meteoric water at the base of the epikarste may have developed the zone of high permeability (Super-k) with the flow towards the main fractures in the karst.
DOI: 10.17632/x99dsf6yn5.3
title: Dataset of Entrepreneurship Achievement Motivation: Factor Analysis

description: This data are presented in the form of .xlsx and .docs are divided into three files. The first file (Appendix of Dataset of Entrepreneurship Achievement Motivation) consists of three worksheets: 1) Appendix 1. The questionnaire, 2) Appendix 2. Raw data of EFA, and 3) Appendix 3. Raw data of CFA. The Second file (Figure of Dataset of Entrepreneurship Achievement Motivation), there is one figure in the file. The Third file (Table of Dataset of Entrepreneurship Achievement Motivation) consists of three worksheets: 1) Table 1. Descriptive statistics (EFA; Study 1), 2) Table 2. Instrument items and factor loadings, and 3) Table 3. Description and comparison of EFA and CFA statistics for entrepreneurship achievement motivation measures items. Data was taken from 683 respondents from 16 provinces in Indonesia.
DOI: 10.17632/3tvz88bd5y.1
title: LAGA Pneumothorax

description: the original propensity score
DOI: 10.17632/ywsbh3ndr8.1
title: Dataset of Breast mammography images with Masses

description: The dataset contains mammography with benign and malignant masses. Images in this dataset were first extracted 106 masses images from INbreast dataset, 53 masses images from MIAS dataset, and 2188 masses images DDSM dataset. Then we use data augmentation and contrast-limited adaptive histogram equalization to preprocess our images. After data augmentation, Inbreast dataset has 7632 images, MIAS dataset has 3816 images, DDSM dataset has 13128 images. In addition, we also integrate INbreast, MIAS, DDSM together. All the images were resized to 227*227 pixels.
DOI: 10.17632/6wfpd7b6kh.1
title: Plants regulate cellular immunity of caterpillars to an entomovirus

description: Datasets for Plants regulate cellular immunity of caterpillars to an entomovirus
DOI: 10.17632/v7sxgfs82k.1
title: The development of a cognitive rehabilitation task for mice

description: Obesity, neurodegenerative diseases, and injury can all lead to cognitive deficits, which can be improved clinically with the implementation of cognitive rehabilitation. Due to a lack of effective cognitive rehabilitation tools in mice, we re-designed a cognitive task utilized to detect problem-solving deficits, to develop a cognitive rehabilitation paradigm for mice. In this study, we modified the Puzzle Box task by exposing B6 mice to a variety of obstacles and assessing the escape latencies. We then combined obstacles in order to create a “complex obstacle” for the problem-solving task. The mice display an improvement in the performance with repetition, evident by a shorter escape latency and the ability to maintain this improvement in performance, indicative of long-term memory. Given that this approach is new, we validated whether this task could successfully detect deficits in a mouse model of cognitive impairment, the high-fat diet mouse. We demonstrate that high-fat diet mice have longer escape latencies when exposed to the complex obstacle compared to standard diet control mice. Taken together, these data suggest that the Puzzle Box is a valid task for cognitive rehabilitation in mice.
DOI: 10.17632/4jwybkk4vx.1
title: PSAA anatomy

description: This is an original dataset used for the manuscript "Evaluation of the valid anatomical references for locating the course of the posterior superior alveolar artery for dental implant surgery".
DOI: 10.17632/8z9532ps65.5
title: ACADEMIC PROCRASTINATION FREQUENCY DATA OF STUDENTS AT MAKASSAR, INDONESIA

description: This data was obtained from the results of the assessment with using the academic procrastination scale of 586 semester XIII students in Makassar Students answer to statements with a choice of strongly agree, agree, doubt, disagree, and strongly disagree. Scores between 5,4,3,2 and 1 are summed and averaged to determine high academic procrastination behavior
DOI: 10.17632/gb892bxd5j.2
title: Numerical codes for the time-dependent radiative transfer equation by FDM-DOM

description: The numerical codes provide the calculation of the time-dependent radiative transfer equation (RTE) using the Galerkin quadrature method with the 6th order level-symmetric even quadrature set based on the finite difference and discrete ordinates methods for highly forward scattering media under the non-reentry boundary condition. 【Numerical schemes for the RTE-calculations】 ・3rd order weighted essentially non oscillatory scheme (spatial discretization) ・3rd order total variation diminishing-Runge-Kutta method (temporal discretization) ・Galerkin quadrature method (angular discretization) 【The medium geometry and optical properties (default)】 ・Rectangular medium with the source-detector distance of 0.4 cm ・Spatial grid size: 0.02 cm and timestep: 0.5 ps ・Absorption coefficient: 0.2 cm-1 ・Scattering coefficient: 100 cm-1 ・Anisotropic factor: 0.9 ・Refractive index: 1.4
DOI: 10.17632/2c5b7ckthk.1
title: Data feasibility of Tempe lake potential as learning source environment biology: study analysis free-service teacher biology South Sulawesi Indonesia

description: Exploratory study and survey aimed at determining Lake Tempe's feasibility as a source of learning on Environmental Biology (EB) courses. Data from the results of exploratory research and observation of the potential of Lake Tempe were obtained on-site. The data are in the form of 1) physicochemical water parameters (temperature, pH, dissolved oxygen (DO), total suspended solids (TSS)) were measured at the site in three stations; 2) community activities that can pollute Lake Tempe; 3) identification of aquatic plants. The data is adapted to the learning material for environmental biology based on the achievement of the course. The survey data on the feasibility of Lake Tempe as a learning source were obtained from the results of the questionnaire responses after examination and observation of the potential contained in Lake Tempe.
DOI: 10.17632/7m2gpx2vsw.1
title: JPO_2019_Boundary_Layer_Turbulence_Over_Surface_Waves_in_a_Strongly_Forced_Condition_LES_and_Observation

description: This is data for the following publication: Husain, N.T, T. Hara, M.P. Buckley, K. Yousefi, F. Veron, and P.P. Sullivan, 2019: Boundary Layer Turbulence over Surface Waves in a Strongly Forced Condition: LES and Observation. J. Phys. Oceanogr., 49 (8), 1997-2015. This study compares flow field data collected from a large eddy simulation model and particle image velocimetry in a laboratory wind-wave tank experiment of turbulent wind flow over surface gravity waves in strongly forced wind conditions using a wave-following mapped coordinate system. We compare horizontally-averaged mapped profiles of wind speed, wind shear, 2D turbulent kinetic energy, and momentum budget terms, as well as phase-averaged physical and mapped flow fields of wind speed, 2D turbulent kinetic energy, wave stress, and excess turbulent stress. We also include LES results for phase-averaged flow fields of dissipation rate and pressure, as well as surface pressure, turbulent tangential, and turbulent normal stresses. The results show a signature of airflow separation that reduces when the wave slope (ak) and surface roughness parameterization (z_o) are reduced. Airflow separation is stronger and remains closer to the surface in the observational results, which could be the result of roughness elements and wave turbulence that is unresolved in the phase-average. We also ran LES simulations varying the surface roughness parameterization and surface drift velocity along the wave phase to address this disparity, and found that the flow fields are only sensitive to these surface boundary conditions near the crest (and make no difference near the trough). Overall, the comparison between the horizontally- and phase-averaged LES and observational results was reasonable given the idealized LES model set-up - especially for the case of the momentum budget.
DOI: 10.17632/8dxmc9xryb.2
title: Optical Coherence Tomography in Mild Cognitive Impairment Data Set

description: Data set for the systematic review on OCT findings in Mild Cognitive Impairment
DOI: 10.17632/8z9532ps65.4
title: ACADEMIC PROCRASTINATION FREQUENCY DATA OF STUDENTS AT MAKASSAR, INDONESIA

description: This data was obtained from the results of the assessment with using the academic procrastination scale of 586 semester XIII students in Makassar Students answer to statements with a choice of strongly agree, agree, doubt, disagree, and strongly disagree. Scores between 5,4,3,2 and 1 are summed and averaged to determine high academic procrastination behavior
DOI: 10.17632/88wbywwdwr.1
title: Procollagen/HSP47 trafficking videos

description: Set of uncompressed movies for Omari et al. (2020), Mechanisms of procollagen and HSP47 sorting during ER-to-Golgi trafficking, Matrix Biology, https://doi.org/10.1016/j.matbio.2020.06.002, open access
DOI: 10.17632/gzndjyj2kh.1
title: Datos de género en proyectos STEAM

description: Información de percepción asociada con la relevancia identificada por jóvenes entre 14 y 18 años en relación con disciplinas STEAM
DOI: 10.17632/s2zdnbzsrt.1
title: Seasonal population patterns of a new scale pest, Acanothococcus lagerstroemiae Kuwana, from 2015 - 2017 dataset

description: This dataset is from collecting crapemyrtle bark scale (Acanthococcus lagerstroemiae) crawlers from at least three trees for each of seven locations over three years (2015, 2016, and 2017). Full publication: https://meridian.allenpress.com/jeh/article/38/1/8/430984/Seasonal-Population-Patterns-of-a-New-Scale-Pest The purpose of this study was to understand the seasonal population dynamics of the scale populations. More specifically, the two main objectives of this data were: 1) determine seasonal crawler activity of CMBS crawlers on crapemyrtles and 2) determine whether a degree-day model can provide a more accurate estimate of the first crawler peak compared to a calendar date In brief, double-sided sticky tape (1.905cm wide) was wrapped around several branches (5 or more) per tree and collected on a regular basis (usually weekly). A new piece of tape replaced it each time. Tape was inspected under a dissecting microscope to count the number of crawlers. In the data file "CMBS_Obj1_mega.xls", each tab represents data collected from separate locations. "Date Set" - Date the tape was set on the tree "Date Collected" - Date the tape was removed from the tree "# of Days" - Calculation; Date collected - Date set. "Tree Number" - Number to identify a specific tree within a location "Branch ID" - Column to represent separate subsamples (i.e. branches) within a tree. "Length (cm)" - Length of the double-sided sticky tape for that particular branch. This corresponds to the diameter of the branch. "Crawlers" - number of crawlers counted on a piece. As numbers approached over several 100, investigators often estimated the number of crawlers by subsampling sections of the tape (on graph paper) and estimating the number of crawlers on the whole tape. "Crawlers / sq cm" - Calculation; Number of crawlers per sq. cm of sticky tape (based on the length and width of the tape). "Crawlers / sq cm / 7 day average" - Calculation; Number of crawlers per sq. cm standardized to a 7-day period. Since sometimes tapes were collected up to 14 days after setting, number of crawlers needed to be standardized to a similar time-period. We chose 7-days, as that's the most common sampling period in our dataset. Note that the "College Station, TX" tab has an additional column entitled "Upper/Lower" (2015); where branches were placed on upper or lower branches to determine whether population dynamics was different based on location on the tree. The second file uploaded ("allclean.csv") contains degree-day data. Location codes closest to collection sites were used to calculate degree days assuming a lower developmental temperature threshold of 1.7, 4.4, 7.2, 10, 12.8, or 15.6ºC. The table columns explained: DD_XXXX_#_#: DD refers to "Degree days", XXXX is the weather station code, # _ # is the lower temperature threshold for the degree day calculation (i.e. 1_7 = 1.7ºC). See publication to match location codes with trapping locations.
DOI: 10.17632/jfxsrzv98y.1
title: Changes of medication after discharge from hospital in people with Parkinson’s Disease

description: A self-report adherence to medication questionnaire as well as several clinical parameters were assessed in patients with Parkinson´s disease (PD) during their stay in the hospital. A short telephone interview was performed one month after discharge from hospital to detect the extent and reasons for changes of medication. This study was approved by the local ethics committee of the Jena University Hospital (4572-10/15). All subjects gave written informed consent in accordance with the Declaration of Helsinki. The inclusion criteria were PD diagnosis according to Movement Disorder Society (MDS) diagnostic criteria. Reasons for admission were, among others, an increase of fluctuations, worsening of dyskinesias, increase of off-phases, evaluation for deep brain stimulation, and worsening of gait and freezing. Patients with delirium or inability to complete a questionnaire were excluded. All tests were conducted during the medication ON phase. The demographic data collected included age, gender, marital status, level of education and employment status. Several clinical parameters were recorded:, the levodopa equivalent daily dose (LEDD), the MDS-sponsored revision of the Unified Parkinson's Disease Rating Scale III (MDS-UPDRS III), the revised non-motor symptoms questionnaire (NMS-Quest), and Hoehn & Yahr staging, the Montreal Cognitive Assessment and Beck’s depression inventory II. Adherence was assessed using the German Stendal Adherence with Medication Score (SAMS). It includes 18 questions forming a cumulative scale (0–72) in which 0 indicates complete adherence and 72 indicates complete nonadherence (15). The SAMS allows the assessment of three common reasons for/clusters of non-adherence: modification of medications, forgetting to take the medications, and lack of knowledge about the medications (16). The whole copy of SAMS is available online (CC BY NC 3.0 licence; https://data.mendeley.com/datasets/ny2krr3vgg/1) (17). The follow-up was set up as a semi-structured telephone interview 4 weeks after being discharged, which included the following questions. 1) Was the prescribed medication changed since discharge from hospital? (yes; no) 2) What was changed? (decrease in dosage; increase in dosage; change of drug; not specified change in medication) 3) Who changed the medication? (general practitioner (GP); outpatient neurologist; patient) 4) Why was medication changed? (medication run out‎/no prescription; missing/insufficient effect; missing knowledge about indication; side effects; others) There were three attempts to call the patient. The total number of patients recruited for the study was 130. For five patients a follow-up interview could not be performed. The dataset belongs to the paper: Self-reported Non-adherence Predicts Changes of Medication after Discharge from Hospital in People with Parkinson’s Disease. Francis Feldmann, Hannah M. Zipprich, Otto W. Witte, Tino Prell. Park Hindawi. 2020
DOI: 10.17632/hrd3swhyxm.1
title: Bundled intervention to improve patient safety by reducing skin specimen related errors in a tertiary dermatology practice: Supplemental Figures
DOI: 10.17632/sj47c6mg6y.3
title: Artificial neural network-based global model for radiative transfer in gas mixtures containing CO2, H2O and non-absorbing gases: Datasets and Supplementary Materials

description: Weighs and bias data for the artificial neural network models, and fluent deployable codes for implementing these models
DOI: 10.17632/gn8j5pg33f.1
title: JAAD-D-20-02301R1

description: Low recurrence rates for challenging squamous cell carcinomas using Mohs micrographic surgery with AE1/AE3 cytokeratin immunostaining: JAAD Supplementary Material
DOI: 10.17632/23tb43zrrf.1
title: Data for Factors That Predispose to Leaks and Strictures and Their Impact on Dilatation Outcomes After Oesophageal Atresia Repair

description: Data for Factors That Predispose to Leaks and Strictures and Their Impact on Dilatation Outcomes After Oesophageal Atresia Repair
DOI: 10.17632/nd7hxn72fd.1
title: Evaporation reservoirs in semi-arid region

description: The available data is the result of a research that developed a model to estimate the annual evaporation volume rate (EVR) of reservoirs through morphometric factors, based on reservoir maximum volume, maximum depth, and maximum area. In the study area, located in a semi-arid region of Brazil, in Rio Grande do Norte State (RN) seventy reservoirs were studied. As results 5–88% of reservoir maximum volumes were determined to be lost during the evaporation process. Model validation was realized by the model being applied in 32 reservoirs located in PB State (PB).The results of the model adjustment were considered good since the model did not take into account climatic factors and uses only easily obtained morphometric data. The model developed is a new, easy-to-use tool for predicting the evaporation efficiency of reservoirs and can be used for planning new dam projects and assessing the operation of those already installed. FILE DESCRIPTION: - The files "Data_PB.xlsx" and "Data_PB.xlsx" present the morphometric reservoirs characteristics of RN and PB, and the evaporation model results; - The files "ERV_PB.xlsx" and "ERV_RN.xlsx" present the daily evaporation rate calculated by Jensen-Haise method, and the EVR results. The radiation data were obtained from Tiba (2000) and the temperature were obtained are from INMET (2017), references presented below. - the file "Data_Rn.txt" present the input data with mormorphometric reservoirs characteristics of RN and EVR to use a R program and apply a multiple linear regression; - the file "Script.txt" presents the R script to apply the multiple linear regression.
DOI: 10.17632/bhzccxfy9c.2
title: Assessment of the exposure to Echinococcus multilocularis associated with carnivore faeces using qPCR and flotation technique assays

description: Geographical coordinates, host species identity and Echinococcus mutilocularis data of carnivore faeces collected in a rural town and its surroundings in the Eastern part of France (006°26’46”E, 46°56’53”N). Video of microscopic observation and sampling of taeniid eggs one by one with a Leica DMI3000-B micromanipulator. Kulldorff statistics on the spatial distribution of Echinococcus multilocularis via carnivore faeces.
DOI: 10.17632/pzwzkk32kz.1
title: Ti-6Al-4V synthetic microstructure instantiations and CPFEM derived properties

description: This data set includes synthetic microstructure instantiations generated using Dream.3D and their crystal plasticity finite element method (CPFEM) derived homogenized properties (elastic stiffness and yield strength determined using the 0.2% offset method). Eight different crystallographic textures were used with different volume fraction combinations of primary alpha phase and colony phase, with 30 instantiations per configuration. This data set is associated with the work by Stopka, Kalidindi and McDowell.
DOI: 10.17632/jwxxjc5kyf.1
title: Flood2Topo

description: This data set contains the installation files for the Flood2Topo application and complementary files. Specifically, the download files are as follows: 1. Standalone Software Installation Package (Windows): "for_redistribution.rar" 2. Matlab toolbar App (if you have Matlab installed): "files_only.rar" 3. Matlab code (if you are interested in changing any parameters): "cod_Flood2Topo.m" 4. Example: "example_Lake Poopo.rar" 5. User’s Handbook: "Flood2Topo_Handbook.pdf" Fassoni‐Andrade, A. C., Paiva, R. C. D., & Fleischmann, A. S. (2020). Lake topography and active storage from satellite observations of flood frequency. Water Resources Research, 56(7). https://doi.org/10.1029/2019wr026362
DOI: 10.17632/wm56pfvtnt.1
title: RAW Data_MOT_BART_Athl

description: Research datasets - RAW Data of experimentation that validate research findings Research datasets - RAW Data of experimentation that validate research findings Speed thresholds obtained with the 3D-MOT for each participant. BART results.
DOI: 10.17632/gwwk2jnr82.2
title: The configuration of RPA, RAD51 and DMC1 binding in meiosis reveals the nature of critical recombination intermediates

description: Here are the original imaging data related to Figure3 and FigureS3 in the paper.