cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/km62h489hb.1
title: In-situ synchrotron computed tomography images of a tensile test on a carbon fiber-epoxy composite for mechanical damage analysis

description: Using synchrotron computed tomography, we have obtained 3D images of a carbon fiber-epoxy composite laminate loaded under tension. A double-edge notched specimen with a notch section area of ~ 1 mm × 1 mm is cut using waterjet machining from the [904/05]s laminate with 7-µm nominal fiber diameter. It was loaded under continuous tension, with a deformation rate of ~ 1.4 μm/s, and in-situ scanned with a propagation distance of 60 mm, a beam energy of 20 kV, and 1000 projections per scan, each with an exposure time of 9 ms. The magnification was 10×, and the voxel size was 1.1 μm. The test was conducted at the TOMCAT beamline of the Swiss Light Source (SLS) in Villigen, Switzerland. The reconstruction was performed using an absorption-based algorithm provided by SLS. Eight 3D image (out of ~60 images) corresponding to eight loading steps with nearly the same force intervals are selected. These eight steps (Step 0 - 7) are identified on the force-displacement curve that is included in the dataset. The 3D images are overlaid on top of each other (registered), using 3D rigid transform by “Normalized Mutual Information”, and resampled with “Standard” (linear) interpolation, in the commercial software Avizo 2019.1. The empty space around the specimen is cropped out in each image. The eight 3D images are uploaded to this dataset in the folder "Full volumes (no filter)". Moreover, a smaller volume of interest (VOI), with a size of 330 × 580 × 630 μm3, is selected, which is shown with a blue box in the schematics available in the dataset. This volume is copped from the full volume. The eight small VOIs are also uploaded to this dataset in the folder "Cropped VOIs for analysis of damage interaction (non-local means filter)". The image noise in the small VOIs is reduced using a 3D “non-local means” filter with a search window of 10 px and local neighborhood of 3 px, using Avizo 2019.1. These 3D images are used for real-time analysis of mechanical damage in carbon fiber composites. We have performed this using digital image correlation in the reference article "Mehdikhani et al., Digital volume correlation for meso/micro in-situ damage analysis in carbon fiber reinforced composites". Other techniques can be employed to characterize the damage and the evolution of the microstructure in these images.
DOI: 10.17632/rp6xy7rfhn.1
title: EnergyPlus Models - Research paper: Natural ventilation potential from weather analyses and building simulation

description: EnegyPlus files used in the investigations of the research article entitled “Natural ventilation potential from weather analyses and building simulation”. Reference: N.R.M. Sakiyama, L. Mazzaferro, J.C. Carlo, T. Bejat, H. Garrecht, Natural ventilation potential from weather analyses and building simulation, Energy and Buildings. In Press.
DOI: 10.17632/2g9jv6bzx5.1
title: JEV Human T cell

description: JEV exposed human volunteers comprising healthy contacts and recovered JEV patients were recruited for this study. Individuals who received the live attenuated JE vaccine SA14-14-2 were also included. Blood drawn was stimulated with capsid, envelope and NS3 proteins of JEV, PS cells uninfected and infected with JEV along with cells alone controls. The FACS antibody panel consisting of anti-CD3-APC-H7 (clone SK7), anti-CD8-PerCP (clone SK1), anti-IFN--PECy7 (clone B27), anti-IL-2-FITC (MQ1-17H12), anti-TNFα-APC (6401-1111) and anti-MIP-1β-PE (11A3), from BD Pharmingen, San Diego, CA.
DOI: 10.17632/mz3z94ppbn.1
title: Child Car Seat Laws in Transportation Network Company Vehicles
DOI: 10.17632/y59s4xhpzn.1
title: Human innate immune cytokine response to dengue virus

description: Fluorescence minus four controls for flow cytometry experiments of innate immune cytokine production in response to dengue virus. Pseudo color flow cytometry plots for a representative patient comparing the fluorescence minus four (FMF; top row) control with completely stained sample (bottom) for secretion of (A) TNF-α, (B) IP-10, (C) IL-10, (D) IL-6 and (E) IFN-γ from the indicated cell subsets. Abbreviations: CM – CD14+CD16- classical monocytes; IM – CD14+CD16+ intermediate monocytes; NCM – CD14-CD16+ non-classical monocytes; G – Granulocytes; NKT – CD56+CD3+ natural killer T cells; NK++ - CD56+CD16+ natural killer cells; NK+- - CD56+CD16- natural killer cells; B – CD19+ cells.
DOI: 10.17632/5zxyrvc5nz.1
title: rs-fMRI network-based TMS targeting

description: The present data are collected from 8 Alzheimer's disease patients to prove the feasibility of a tailored network-based transcranial magnetic stimulation (TMS) targeting approach. Based on resting state functional imaging, the procedure allows to extract individual optimal targets of two networks affected by Alzheimer's disease: the default mode (DMN) and the fronto-parietal network (FPN). The dataset includes: - The raw independent components maps (melodic_IC.nii.gz) in native space extracted from individual rs-fMRI with Melodic independent component analysis (Beckman and Smith 2004) - A table with the demographic and clinical characteristics of the sample (n=8) together with the individual coordinates of the target in native space.
DOI: 10.17632/jz96xn86tx.1
title: Investigating the relationship between rosacea and use of vasodilatory medications in a hospital-wide population - Supplementary Methods

description: The Supplementary Methods expand upon exclusion criteria rationale, the rationale for using thiazide diuretics as the control group, and the method of statistical analysis in this study.
DOI: 10.17632/4mwmyj4bdg.1
title: Melanoma COVID19

description: We sought to compare melanomas diagnosed immediately following the reopening after lockdown (put in place to halt the spread of COVID-19) to those diagnosed during the same months in the 5 preceding years to evaluate the impact of COVID-19 and subsequent lockdown on melanoma diagnosis.
DOI: 10.17632/4zy425nty3.1
title: Fish pathogens 16S rRNA database
DOI: 10.17632/ycv96d9pf3.1
title: Dataset on mental health, suicidal behaviors, and suicide literacy and stigma in Bangladeshi dental students
DOI: 10.17632/tswpcpkgzh.1
title: MLM Submission

description: MLM Submission
DOI: 10.17632/r5m42g6wz7.1
title: Brazilian-Auctions

description: Basic data to all auctions from 2001 to 2010
DOI: 10.14278/rodare.613
title: Research Data for: ctmmweb: A graphical user interface for autocorrelation-informed home range estimation

description: Estimating animal home ranges is a primary purpose of collecting tracking data. All conventional home range estimators in widespread usage, including minimum convex polygons and kernel density estimators, assume independently sampled data. In stark contrast, modern GPS animal tracking datasets are almost always strongly autocorrelated. This incongruence between estimator assumptions and empirical reality leads to systematically underestimated home ranges. Autocorrelated kernel density estimation (AKDE) resolves this conflict by modeling the observed autocorrelation structure of tracking data during home range estimation, and has been shown to perform accurately across a broad range of tracking datasets. However, compared to conventional estimators, AKDE requires additional modeling steps and has heretofore only been accessible via the command-line ctmm R package. Here, we introduce ctmmweb, which provides a point-and-click graphical interface to ctmm, and streamlines AKDE, its prerequisite autocorrelation modeling steps, and a number of additional movement analyses. We demonstrate ctmmweb’s capabilities, including AKDE home range estimation and subsequent home range overlap analysis, on a dataset of four jaguars from the Brazilian Pantanal. We intend ctmmweb to open AKDE and related autocorrelation-explicit analyses to a wider audience of wildlife and conservation professionals.
DOI: 10.14278/rodare.612
title: Research Data for: ctmmweb: A graphical user interface for autocorrelation-informed home range estimation

description: Estimating animal home ranges is a primary purpose of collecting tracking data. All conventional home range estimators in widespread usage, including minimum convex polygons and kernel density estimators, assume independently sampled data. In stark contrast, modern GPS animal tracking datasets are almost always strongly autocorrelated. This incongruence between estimator assumptions and empirical reality leads to systematically underestimated home ranges. Autocorrelated kernel density estimation (AKDE) resolves this conflict by modeling the observed autocorrelation structure of tracking data during home range estimation, and has been shown to perform accurately across a broad range of tracking datasets. However, compared to conventional estimators, AKDE requires additional modeling steps and has heretofore only been accessible via the command-line ctmm R package. Here, we introduce ctmmweb, which provides a point-and-click graphical interface to ctmm, and streamlines AKDE, its prerequisite autocorrelation modeling steps, and a number of additional movement analyses. We demonstrate ctmmweb’s capabilities, including AKDE home range estimation and subsequent home range overlap analysis, on a dataset of four jaguars from the Brazilian Pantanal. We intend ctmmweb to open AKDE and related autocorrelation-explicit analyses to a wider audience of wildlife and conservation professionals.
DOI: 10.17632/cyms4jjgxv.1
title: Adaptive Traffic Grooming in Elastic Optical Networks Dataset

description: Raw data and simulation configuration files for the experiments in the article 'Adaptive Traffic Grooming in Elastic Optical Networks'.
DOI: 10.17632/xh42gkdzyd.1
title: River cruise holiday packages: A network analysis combined with a geographic information system framework
DOI: 10.17632/6jw4fnrcsm.1
title: Metabonomics analysis of baker's yeast under freezing stress

description: ABY3：Metabolite analysis of baker's yeast fermented for half an hour at 30℃； ABY+S：Metabolite analysis of baker’s yeast overexpressing SNF1 gene after fermentation for half an hour at 30℃ FABY3：Metabolite analysis of baker’s yeast after freezing for 7 days at -20°C and fermenting for half an hour FABY+S：Metabolite analysis of baker’s yeast overexpressing SNF1 gene after freezing for 7 days at -20°C and fermenting for half an hour
DOI: 10.17632/v9xbtfywpb.1
title: Dataset Score Bebé

description: Accessibility assessment with WCAG 2.1 on the Score Bebé website.
DOI: 10.17632/hg46dkxvd7.1
title: Maize Ecophysiology and Yield Following Cover Crops and Imposed Drought

description: Briefly, this dataset includes ecophysiological and yield measurements from a two-site-year study of maize grown following five functionally diverse cover crop treatments under imposed drought conditions. The experiment is described in detail in the following publications: - Hunter, M., A. Kemanian, D. Mortensen. In review. Cover Crops and Drought: Maize Ecophysiology and Yield Dataset. Data in Brief. - Hunter, M., A. Kemanian, D. Mortensen. In review. Cover crop effects on maize drought stress and yield. Agriculture, Ecosystems, and the Environment. - Hunter M. 2018. Sustainable intensification and climate resilience: Cover crops, soil improvement, and drought. Ph.D. dissertation, The Pennsylvania State University.
DOI: 10.17632/mttczsrrpc.1
title: test

description: test123
DOI: 10.5519/qd.7u0mnc0o
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5519/qd.10uuuua4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4678055 records)
DOI: 10.6084/m9.figshare.13325273
title: Electronic database search records

description: Detailed records of electronic database searches conducted for systematic review: Neuropsychological assessment of executive functions in substance dependence populations
DOI: 10.6084/m9.figshare.13325273.v1
title: Electronic database search records

description: Detailed records of electronic database searches conducted for systematic review: Neuropsychological assessment of executive functions in substance dependence populations
DOI: 10.5519/qd.6fle4jtn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.13325282
title: Landscape Dynamics (landDX): An open-access spatial-temporal database for the Kenya-Tanzania borderlands

description: The savannas of the Kenya-Tanzania borderland cover &gt;100,000 km2 and is one of the most important regions globally for biodiversity conservation, particularly large mammals. The region also supports &gt;1 million pastoralists and their livestock. In these systems, resources for both large mammals and pastoralists are highly variable in space and time and thus require connected landscapes. However, ongoing fragmentation of (semi-)natural vegetation by smallholder fencing and expansion of agriculture threatens this social-ecological system. Spatial data on fences and agricultural expansion are localised and dispersed among data owners and databases. Here, we synthesised data from several research groups and conservation NGOs and present the Landscape Dynamics (landDX) spatial-temporal database. The data includes 31,000 livestock enclosures, nearly 40,000 kilometres of fencing, and 1,500 km2 of agricultural land. We provide caveats and interpretation of the different methodologies used. These data are useful to answer fundamental ecological questions, to quantify the rate of change of ecosystem function and wildlife populations, for conservation and livestock management, and for local and governmental spatial planning.
DOI: 10.5519/qd.pxdgoufl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1001 records)
DOI: 10.6084/m9.figshare.13325276
title: Experimental and numerical modeling studies of impact of atmospheric pressure fluctuations on nonequilibrium transport of volatile organic contaminants in the vadose zone

description: These figures described the effect of atmospheric pressure fluctuations on nonequilibrium transport of carbon tetrachloride in the vadose zone.
DOI: 10.5281/zenodo.4303768
title: EVISAN – a dataset for multi-sperm detection and tracking algorithm development

description: <strong>P</strong><strong>urpose</strong><strong>:</strong> Automatic tracking and detection of motile cells in time-lapse mode during microscopy is an important requirement in many biological applications. Although significant developments have been made in cell tracking algorithms, current datasets are limited in size and diversity, especially for data-dependent generalized deep learning models. In this paper, we introduce a new and larger standard sperm tracking dataset with a useful framework for assessing motile cell tracking algorithms. <strong>Acquisition and validation methods: </strong>Semen samples were used to obtain image datasets. The sequences of motile sperm data were acquired using a microscope. We recorded motile sperm from different donors under different magnification, to provide a suitable sperm pool and achieve a degree of image heterogeneity. Sperm images were manually annotated and checked by several biologists using semi-automatic software to generate the dataset. <strong>Data format and usage notes: </strong>We present a new dataset, EVISAN – Expert Visual Sperm Annotation, comprising partially annotated sperm images from different donors at a varying magnification that is readily usable as training data for computer vision applications. With 6,000 images, our collection is an unparalleled heterogeneous dataset for deep learning sperm detection application development. All images are stored in XML and JPEG formats. We also provide a standard evaluation framework for the proposed dataset. <strong>Potential applications: </strong>Our standard dataset is highly suitable for quantitatively evaluating state-of-the-art, multi-target tracking and detection algorithms. We also foresee the clinical application of these algorithms in assisted reproduction in humans, such as real-time computer-assisted sperm analysis.
DOI: 10.5281/zenodo.4303767
title: EVISAN – a dataset for multi-sperm detection and tracking algorithm development

description: <strong>P</strong><strong>urpose</strong><strong>:</strong> Automatic tracking and detection of motile cells in time-lapse mode during microscopy is an important requirement in many biological applications. Although significant developments have been made in cell tracking algorithms, current datasets are limited in size and diversity, especially for data-dependent generalized deep learning models. In this paper, we introduce a new and larger standard sperm tracking dataset with a useful framework for assessing motile cell tracking algorithms. <strong>Acquisition and validation methods: </strong>Semen samples were used to obtain image datasets. The sequences of motile sperm data were acquired using a microscope. We recorded motile sperm from different donors under different magnification, to provide a suitable sperm pool and achieve a degree of image heterogeneity. Sperm images were manually annotated and checked by several biologists using semi-automatic software to generate the dataset. <strong>Data format and usage notes: </strong>We present a new dataset, EVISAN – Expert Visual Sperm Annotation, comprising partially annotated sperm images from different donors at a varying magnification that is readily usable as training data for computer vision applications. With 6,000 images, our collection is an unparalleled heterogeneous dataset for deep learning sperm detection application development. All images are stored in XML and JPEG formats. We also provide a standard evaluation framework for the proposed dataset. <strong>Potential applications: </strong>Our standard dataset is highly suitable for quantitatively evaluating state-of-the-art, multi-target tracking and detection algorithms. We also foresee the clinical application of these algorithms in assisted reproduction in humans, such as real-time computer-assisted sperm analysis.
DOI: 10.5281/zenodo.4303789
title: Nodal Modulation of Tidal Constituents in the North Sea

description: Harmonic analysis of sea surface elevation is commonly performed using the f-u correction procedure, which alters the analyzed tidal constituents, based on the longitude of the lunar ascending node at a 18.61 year frequency. Measurement analysis has led us to conclude, that common nodal modulation factors are inaccurate in the shallow regions of the North Sea, due to the friction-induced generation of overtides. For this reason we applied a numerical model to quantify the nodal modulation spatially. The hereby presented data set is therefore derived from model results and includes the nodal amplitude modulation and phase lag for the North Sea on a 7,500m raster as supplemental material to Hagen, et al. (2021, to appear). This data set may be used for the manual correction of nodal modulation in modeling applications, MSL analysis and any other application regarding harmonic analysis in the North Sea region.
description: This data set is part of a publication, which may appear in JGR: Oceans in 2021 - Hagen, Robert u. a. (2020). A combined modeling and measurement approach to assess the nodal tide modulation in the North Sea. DOI: 10.1002/essoar.10503057.1.
DOI: 10.5281/zenodo.4303788
title: Nodal Modulation of Tidal Constituents in the North Sea

description: Harmonic analysis of sea surface elevation is commonly performed using the f-u correction procedure, which alters the analyzed tidal constituents, based on the longitude of the lunar ascending node at a 18.61 year frequency. Measurement analysis has led us to conclude, that common nodal modulation factors are inaccurate in the shallow regions of the North Sea, due to the friction-induced generation of overtides. For this reason we applied a numerical model to quantify the nodal modulation spatially. The hereby presented data set is therefore derived from model results and includes the nodal amplitude modulation and phase lag for the North Sea on a 7,500m raster as supplemental material to Hagen, et al. (2021, to appear). This data set may be used for the manual correction of nodal modulation in modeling applications, MSL analysis and any other application regarding harmonic analysis in the North Sea region.
description: This data set is part of a publication, which may appear in JGR: Oceans in 2021 - Hagen, Robert u. a. (2020). A combined modeling and measurement approach to assess the nodal tide modulation in the North Sea. DOI: 10.1002/essoar.10503057.1.
DOI: 10.25403/upresearchdata.13299131
title: Understanding the phenomenon of intersectionality of black female attorneys in South Africa

description: This dataset includes transcriptions of the semi-structured interviews for a qualitative study based on intersectionality.
DOI: 10.25403/upresearchdata.13299131.v1
title: Understanding the phenomenon of intersectionality of black female attorneys in South Africa

description: This dataset includes transcriptions of the semi-structured interviews for a qualitative study based on intersectionality.
DOI: 10.21336/gen.w3w1-j222
title: ACTRIS Aerosol Remote Sensing Data during the COVID-19 pandemic

description: This dataset collects ACTRIS/EARLINET data collected during the Jan-May 2020 period except for the May 2020 special measurement campaign (for those data and for having the complete coverage of the Jan-May 2020 we invite to use both the datasets). The January-May 2020 dataset is based on measurements performed and processed at the individual stations, with standard operation procedures. Measurements are collected following the EARLINET schedule (three times per week: Monday around local noon; Monday after local sunset; Thursday after local sunset). Data is processed in a decentralized way by each station, using their own algorithms or the Single Calculus Chain (SCC), and submitted to the EARLINET/ACTRIS database. Quality Control procedures are applied automatically on the data during the submission of the data to the EARLINET/ACTRIS database (https://www.earlinet.org/index.php?id=293). Data is classified as Level 1 and Level 2 data. Level 2 data are compliant to all the QC procedures currently working on the ACTRIS/EARLINET database. Level 1 data is data of lower quality since they fail at least 1 of the advanced quality controls running on the ACTRIS/EARLINET database. Particular attention should be paid using Level 1 data.
DOI: 10.21336/gen.xmbc-tj86
title: Data of the ACTRIS Aerosol Remote Sensing COVID-19 campaign held in May 2020

description: This dataset collects ACTRIS/EARLINET data collected during a special measurement campaign held in May 2020 as part of the ACTRIS initiative for studying the changes in the atmosphere during the COVID-19 lockdown. As an active contributor to ACTRIS, EARLINET run its lidars and intensified its regular measurements in the early relaxation period in May 2020.An intensive observation campaign was organized in May 2020. Measurements were collected following a specific schedule (each day, two times per day: a) around noon; b) after sunset). Data was processed in a centralized way using the Single Calculus Chain (SCC), with specific configurations and settings, and was made publicly available in near-real time (NRT). Data was afterwards reprocessed to take into consideration the results of the quality assurance tests and the model reanalysis, in order to improve the quality of the final products. The same procedure was applied to all datasets included here. Data is classified as Level 1 and Level 2 data. Level 2 data is compliant to all the QC procedures currently working on the ACTRIS/EARLINET database. Level 1 data is data of lower quality since they fail at least 1 of the advanced quality controls running on the ACTRIS/EARLINET database. Particular attention should be paid using Level 1 data.