cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/c29frc3y6s.1
title: Comparative immune profiling of acute respiratory distress syndrome patients with or without SARS-CoV2 infection. Roussel et al

description: Acute respiratory distress syndrome (ARDS) is the main complication of COVID-19, requiring admission to Intensive Care Unit (ICU). Despite extensive immune profiling of COVID-19 patients, to what extent COVID-19-associated ARDS specifically differs from other causes of ARDS remains unknown. To address this crucial question, we build 3 cohorts of patients categorize in COVID-19negARDSpos, COVID-19posARDSpos, and COVID-19posARDSneg, and compare their immune landscape analyze by high-dimensional mass cytometry on peripheral blood follow by machine-learning based analysis. A cell signature associating S100A9/calprotectin-producing CD169pos monocytes, plasmablasts, and Th1 cells is found in COVID-19posARDSpos, unlike COVID-19negARDSpos patients. Moreover, this signature is essentially share with COVID-19posARDSneg patients, suggesting that severe COVID-19 patients, whatever they experience or not ARDS, display similar immune profiles. We also show an increase in CD14posHLA-DRlow and CD14lowCD16pos monocytes correlate to the occurrence of adverse events during ICU stay. Our study demonstrates that COVID-19-associated ARDS display a specific immune profile, and might benefit from personalize therapy in addition to standard ARDS management. Analyses were performed on a cohort 1 of 63 cryopreserved PBMC samples isolated from 42 patients included in ICU (n = 36) or infectious standard ward (n = 6). All patients but one were classified as severe at admission, requiring oxygen at a flow rate higher than 2 liters/min. ARDS was defined in accordance with international guidelines.34 Patients were classified in 3 groups: COVID-19negARDSpos (n = 12, ARDS stages: 1 mild, 4 moderate, 7 severe), COVID-19posARDSpos (n = 13, ARDS stages: 8 moderate, 5 severe), and COVID-19posARDSneg (n = 17, including 11 from ICU and 6 from infectious standard ward). In the COVID-19posARDSneg, no statistical differences were noticed for immune cell abundance or phenotype between ICU and standard ward patients. Within the COVID-19negARDSpos group, ARDS etiologies were bacterial pneumonia (n = 9), anti-synthetase syndrome (n = 1), and unknown (n = 2). For 21 patients, a second blood sample obtained on day 7 after enrollment was studied (n = 7 for COVID-19negARDSpos, n = 8 for COVID-19posARDSpos, and n = 6 for COVID-19posARDSneg). Additionally, a validation cohort (cohort 2) was set up with 16 patients with demographic data detailed in Table S1 and Table S2. Patients were classified in 3 groups: COVID-19negARDSpos (n = 6), COVID-19posARDSpos (n = 5), and COVID-19posARDSneg (n = 3); additionally, COVID-19negARDSneg (n = 2) samples were included. None of our patients received corticosteroids at the time of the study nor immune-modulators. The presence of SARS-CoV-2 in respiratory specimens (nasal and pharyngeal swabs or sputum) was detected by real-time reverse transcription polymerase chain reaction (RT-PCR) methods.
DOI: 10.5281/zenodo.2668209
title: Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling

description: Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: https://doi.org/10.3389/fnins.2019.00850
DOI: 10.5281/zenodo.2668210
title: Fully synthetic longitudinal real-world data from hearing aid wearers for public health policy modeling

description: Real-world data from hearing aids and Bluetooth connected smartphones. The associated data report can be found here: https://doi.org/10.3389/fnins.2019.00850
DOI: 10.22008/fk2/b674ar/21v3zf
title: r_TOA_19.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.17632/jw3sbz2nkv.1
title: Data for - A Bayesian approach to reveal the key role of mask wearing in modulating interpersonal distance during the COVID-19 outbreak.

description: Humans typically create and maintain social bonds through interactions that occur at close social distances. The distance maintained from others is usually less than the one of at least 1.5 m recommended as a relevant measure for COVID-19 contagion containment. In a web-based experimental study conducted during the first pandemic wave (mid-April 2020), we asked 242 participants to regulate their preferred distance towards confederates who did or did not wear protective masks and gloves and whose COVID-19 test results were positive, negative, or unknown. Information concerning dispositional factors (perceived vulnerability to disease, moral attitudes, and prosocial tendencies) and situational factors (perceived severity of the situation in the country, frequency of physical and virtual social contacts, and attitudes toward quarantine) that may modulate compliance with safety prescriptions was also acquired. A Bayesian analysis approach was adopted. Individual differences did not modulate interpersonal distance. We found strong evidence in favor of a reduction of interpersonal distance towards individuals wearing protective equipment and who tested negative to COVID-19. Importantly, shorter interpersonal distances were maintained towards confederates wearing protective gear, even when their COVID-19 test result was unknown or positive. This protective equipment-related regulation of interpersonal distance may reflect an underestimation of perceived vulnerability to infection; this perception must be discouraged when pursuing individual and collective health-safety measures.
DOI: 10.22008/fk2/b674ar/1k3kww
title: r_TOA_20.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.17632/647z57d26b.1
title: ATR-FTIR, XRD, and TGA data for methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamdinium bromide characterization

description: The data stored in this repository is used to confirm the structure of four organic halide salts using x-ray diffraction (XRD) and attenuated total reflectance Fourier transform infrared spectroscopy (FTIR) data (methylammonium iodide, methylammonium bromide, formamidinium iodide, and formamidinium bromide). Once their structures are confirmed, their vapor pressures are estimated from the thermogravimetric analysis (TGA) data. The rate of mass loss at several isothermal conditions can be used to evaluate the vapor pressure of each material. The single pass TGA data for each salt is used to confirm that no secondary mass loss events occur and that each sample evaporates uniformly. Each salt is found to evaporate in a single step, allowing the enthalpy and entropy of vaporization to be calculated and used to determine the vapor pressure from the Clausius-Clapeyron equation. The columns of the ATR-FTIR data represent wavelength in units of wavenumber and absorbance in arbitrary units.
DOI: 10.22008/fk2/b674ar/nraeb5
title: r_TOA_21.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.17632/h8vg9w9ht5.1
title: School Atlas Survey

description: The dataset contains the responses of 603 Czech teachers about the importance and use of school world atlases in their geography classes. The dataset is an export from JotForm. All the responses are in Czech language. Alternatively, the data can be interactively inspected using Fluorish. Most of the teachers who completed the questionnaire worked at primary schools (487 teachers). A total of 116 respondents taught in secondary schools and grammar schools. The total number of all Czech geography teachers is not available. Based on the number of schools in the Czech Republic, the authors estimated that the questionnaire was filled in by approximately 20–25% of geography teachers in the Czech Republic. The questionnaire survey contained a total of 30 questions focused on four main areas. Three areas are associated with the proposed research questions: which atlases are used in teaching and their importance; the types of task students solve with them; other teaching aids the teachers use.
DOI: 10.22008/fk2/b674ar/vmzen1
title: r_TOA_S5.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.17632/n9xwfs5fcj.1
title: Datasets: Molecular Entities as Structured Data on the Web

description: Internet search engines have remodeled the use of the internet, making it easy to find the content we are interested in. The Web was originally designed to exchange natural language documents. It is difficult for machines to interpret this type of data. Structured data placed on websites solves this problem by allowing search engines to "understand" the content better. This can also be applied to chemical data. We have developed three tools to convert chemical data into structured data. SDFEater allows to convert SDF files, Molstruct converts CSV files and MEgen is a web application that allows entering data in a form. Using our tools, we generated 10 datasets including 5 main datasets (DS1, DS2, DS3, DS4, and DS5) and 5 small datasets (DS1s, DS2s, DS3s, DS4s, and DS5s) consisting of 10 files with one molecule each. They are based on well-known chemical databases (ChEBI, DrugBank, PubChem) as well as other data (WikiData). We make them available in JSON-LD HTML, JSON-LD, RDFa, and Microdata structured data formats. More details about the inputs and outputs as well as how the data is generated can be found in README.txt.
DOI: 10.22008/fk2/b674ar/fftaw9
title: O3.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/shyqdg
title: OAA.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.5281/zenodo.2702225
title: Sensor data set of 3 electromechanical cylinder at ZeMA testbed (2kHz)

description: <strong>General information on the data set</strong> The data set was generated at the ZeMA testbed. A working cycle lasts 2.8s and consists of a forward stroke, a waiting time and a return stroke. The data set does not consist of the entire working cycles. Only one second of the return stroke of each working cycle is used. <strong>Structure of the data</strong> data saved in three HDF5 file as a 3D-matrix, one file is for one axis one row represents one second of the return stroke of one working cycle<br> axis 3: 6292 cycles<br> axis 5: 6083 cycles<br> axis 7: 5732 cycles one column represents one datapoint of the cycle, that is resampled to 2 kHz (2000 columns) one page represent one sensor (11 pages: 11 sensors) <strong>Allocation of the pages to the sensors</strong> page 1: microphone<br> page 2: acceleration plain bearing<br> page 3: acceleration piston rod<br> page 4: acceleration ball bearing<br> page 5: axial force<br> page 6: pressure<br> page 7: velocity<br> page 8: active current<br> page 9: motor current phase 1<br> page 10: motor current phase 2<br> page 11: motor current phase 3 <strong>Remark</strong> The datasets are not in SI units. For conversion, you can use the PDF documentation. <strong>Further information</strong> For an introduction and tutorial to this data, a set of Jupyter notebooks is available here. These notebooks contain Python code and a documentation of example machine learning tasks and analysis of this data set. In the near future, these will be extended to also include uncertainties in the input data.
DOI: 10.22008/fk2/b674ar/8e63uj
title: OZA.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/rkpw67
title: SAA.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/rpnmlf
title: SZA.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.6092/unibo/amsacta/6414
title: REMODEL. WP2. Safety System Requirements And Performance Evaluation. T2_2. Assessment Of Potential Application Barriers And Facilitators. Survey Potential barriers and mitigation strategies. v0

description: The dataset contains the anonymous and aggregated data related to the surveys for the potential barriers and mitigation strategies for the implementation of the innovation and automation strategies originated in the framework of REMODEL project and presented in the deliverable “D2.2 - Potential barriers and mitigation strategies”.
DOI: 10.22008/fk2/b674ar/erdl5u
title: WV.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.6092/unibo/amsacta/6650
title: REMODEL. WP5. Cable Manipulation Planning Execution Inter-active Perception. T5_3. Bimanual Wire And Cable Manipulation. Spline Manipulation Simulation. v0

description: The dataset contains the data generated in the framework of REMODEL project related to the simulation of the spline based manipulation and presented in the publication: G. Palli, "Model-based Manipulation of Deformable Linear Objects by Multivariate Dynamic Splines," 2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS), Tampere, Finland, 2020, pp. 520-525, doi: 10.1109/ICPS48405.2020.9274730.
DOI: 10.6092/unibo/amsacta/6651
title: REMODEL. WP2. Safety System Requirements And Performance Evaluation. T2.3. Performance Criteria and Performance Evaluation. Survey Initial Assessments of Application Performance. v0

description: The dataset contains anonymous and aggregated data related to the surveys for the initial assessment of application performance originated in the framework of REMODEL project, and presented in the deliverable “D2.3 – Initial assessments of application performance”.
DOI: 10.22008/fk2/b674ar/vxymua
title: r_TOA_01.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.6092/unibo/amsacta/6652
title: REMODEL. WP2. Safety System Requirements And Performance Evaluation. T2.3. Performance Criteria and Performance Evaluation. Survey Initial Assessments of System Performance. v0

description: The dataset contains the data used for the initial assessments of system performance of participants to REMODEL project. The data consist of Key Performance Indicators (KPIs) of the participants’ 2019 production, collected through a survey.
DOI: 10.22008/fk2/b674ar/tvrcne
title: r_TOA_02.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/mnpltl
title: r_TOA_03.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/r7fxed
title: r_TOA_04.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/qcxifr
title: r_TOA_05.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.5281/zenodo.2704787
title: Multidimensional photoemission spectra of tungsten diselenide

description: Pump-probe multidimensional photoemission spectroscopy (MPES) of tungsten diselenide (WSe2) measured using an electron momentum microscope at the FLASH Free Electron Laser. This is an example file for data standardization of MPES and has been linked to the publication,<br> <br> <strong>D. Kutnyakhov, R. P. Xian, M. Dendzik, M. Heber, F. Pressacco, S. Y. Agustsson, L. Wenthaus, H. Meyer, S. Gieschen, G. Mercurio, A. Benz, K. Bühlman, S. Däster, R. Gort, D. Curcio, K. Volckaert, M. Bianchi, Ch. Sanders, J. A. Miwa, S. Ulstrup, A. Oelsner, C. Tusche, Y.-J. Chen, D. Vasilyev, K. Medjanik, G. Brenner, S. Dziarzhytski, H. Redlin, B. Manschwetus, S. Dong, J. Hauer, L. Rettig, F. Diekmann, K. Rossnagel, J. Demsar, H.-J. Elmers, Ph. Hofmann, R. Ernstorfer, G. Schönhense, Y. Acremann, W. Wurth, Time- and momentum-resolved photoemission studies using time-of-flight momentum microscopy at a free-electron laser, Review of Scientific Instruments 91, 013109 (2020). DOI: 10.1063/1.5118777</strong>. The single-event data (in events.zip file) associated with the preprocessed data are linked to the publication,<br> <br> <strong>R. P. Xian, Y. Acremann, S. Y. Agustsson, M. Dendzik, K. Bühlmann, D. Curcio, D. Kutnyakhov, F. Pressacco, M. Heber, S. Dong, T. Pincelli, J. Demsar, Wilfried Wurth, Ph. Hofmann, M. Wolf, M. Scheidgen, L. Rettig, R. Ernstorfer, An open-source, end-to-end workflow for multidimensional photoemission spectroscopy, Scientific Data 7, 442 (2020). DOI: 10.1038/s41597-020-00769-8</strong><br> <br> The zip file contains data for analysis (under events/analysis_data folder) and data for calibration (under events/calibration_data folder).
DOI: 10.6084/m9.figshare.8118197
title: Journal publication cost tables and scenarios

description: For many decades, the hyperinflation of subscription prices for scholarly journals have concerned scholarly institutions. After years of fruitless efforts to solve this “serials crisis”, open access has been proposed as the latest potential solution. However, also the prices for open access publishing are high and are rising well beyond inflation. What has been missing from the public discussion so far is a quantitative approach to determine the costs of publishing a scholarly article, such that informed decisions can be made as to appropriate price levels. Here we provide a granular, step-by-step calculation of the costs associated with publishing primary research articles, from submission, through peer-review, to publication, indexing and archiving. We find that these costs range from less than US$200 per article in modern, large scale publishing platforms using post-publication peer-review, to about US$1,000 per article in prestigious journals with rejection rates exceeding 90%. The publication costs for a representative scholarly article today come to lie at around US$400. We discuss the additional non-publication cost items that make up the difference between publication costs and final price. The dataset refers to calculations about the scenarios described in a publication about that topic. <br>
DOI: 10.22008/fk2/b674ar/zxiqva
title: r_TOA_06.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/wo5noh
title: r_TOA_07.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.6084/m9.figshare.8132216
title: Effect size

description: datasets for 'A distribution-based effect size is more reproducible than hypothesis testing for analyzing high throughput sequencing datasets' . Datasets are input count tables from published work and effect size calculations from the ALDEx2 tool for two different datasets. One is a transcriptome dataset, the other a 16S rRNA gene sequencing dataset. See the paper for sources.<br>
DOI: 10.22008/fk2/b674ar/nmk8l8
title: r_TOA_08.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/uvvn57
title: r_TOA_09.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/w6edh3
title: r_TOA_10.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/cc98ed
title: r_TOA_11.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/14cn7x
title: r_TOA_12.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/z3s1cc
title: r_TOA_13.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/wttuxc
title: r_TOA_14.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/g7hqbg
title: r_TOA_15.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/go3ioj
title: r_TOA_16.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/jn4j7n
title: r_TOA_17.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.5281/zenodo.3228753
title: Molecular dynamics simulations of polycrystalline methane hydrates under shear loading: Positions at maximum stress

description: Lammps data files from approximately (closest in time of available dumps) the point in simulations with the largest stress. A later version of this dataset will contain more information about the data, and also contain input scripts and thermodynamics outputs from the simulations. The simulations of this dataset are similar to the ones from; Wu, J., Ning, F., Trinh, T. T., Kjelstrup, S., Vlugt, T. J., He, J., ... & Zhang, Z. (2015). Mechanical instability of monocrystalline and polycrystalline methane hydrates. <em>Nature communications</em>, <em>6</em>, 8743, except that in the present dataset, the hydrate polycrystals were subjected to shear loading rather than tensile and compressional loading.
DOI: 10.22008/fk2/b674ar/rv4aml
title: r_TOA_18.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.25720/veda-c12g
title: c-VEDA dataset
DOI: 10.22008/fk2/b674ar/k7zhlm
title: r_TOA_19.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.5281/zenodo.3233060
title: BabyRobot Emotion Database (BRED)

description: BabyRobot Emotion Database (BRED) This dataset includes extracted data from videos of children performing emotions. The dataset has a total of 215 samples and includes: Skeletons extracted by OpenPose. Facial landmarks extracted by the [OpenFace toolkit](OpenFace toolkit) Features extracted by a ResNet 50 network pretrained in the AffectNet database. Features are in PyTorch format. Annotations by three different annotators. The annotations are hierarchical and apart from the ground truth emotion, denote if the child used its body and/or face for performing the emotion. <strong>Note</strong> that there is an error in the annotations.csv file. Replace "spontaneous" in the path with "game" and "acted" with "pre-game" to get the correct paths. We also provide the code on Github. The accompanied paper can be found on arXiv.
DOI: 10.5281/zenodo.3233059
title: BabyRobot Emotion Database (BRED)

description: BabyRobot Emotion Database (BRED) This dataset includes extracted data from videos of children performing emotions. The dataset has a total of 215 samples and includes: Skeletons extracted by OpenPose. Facial landmarks extracted by the [OpenFace toolkit](OpenFace toolkit) Features extracted by a ResNet 50 network pretrained in the AffectNet database. Features are in PyTorch format. Annotations by three different annotators. The annotations are hierarchical and apart from the ground truth emotion, denote if the child used its body and/or face for performing the emotion. <strong>Note</strong> that there is an error in the annotations.csv file. Replace "spontaneous" in the path with "game" and "acted" with "pre-game" to get the correct paths. We also provide the code on Github. The accompanied paper can be found on arXiv.
DOI: 10.22008/fk2/b674ar/pirdl8
title: r_TOA_20.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/u15c3g
title: r_TOA_21.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.21954/ou.rd.7902320.v2
title: Surface warming during the 2018/MY 34 Mars Global Dust Storm

description: The Surface warming during the 2018/MY 34 Mars Global Dust Storm database is composed of reanalysis products combining past spacecraft observations with a state-of-the-art Mars Global Circulation Model (MGCM), and free-running simulations of the MGCM. <br>Spacecraft observations of column dust optical depth and temperature profiles from the Mars Climate Sounder (MCS) instrument on the Mars Global Surveyor spacecraft are combined with an MGCM used at the Open University. The standard database includes 2-hourly output of key variables such as surface temperature, surface pressure, surface shortwave and longwave flux, temperature as a function of altitude, and column dust optical depth.<br>Further details on this dataset can be found in the Surface_warming_2018_GDS_dataset_reference.pdf document included in this repository.
DOI: 10.22008/fk2/b674ar/qd4plr
title: r_TOA_S5.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.22008/fk2/b674ar/t8ckad
title: O3.tif

description: SICE version: Cloud removed, PPGC, SNAP7
DOI: 10.15131/shef.data.7442321
title: Use of ultrasonic standing wave method to measure the viscosity of oil through a metallic component. Continuous repeated chirp raw data for measurements of cannon standard oils

description: Files are uploaded in CSV format Each contains 3-4 columns of amplitude data taken using the CRC method in the time domain, this is raw data. To plot amplitude against time use dt=32ns. (or time=[32:32:10000000]*1E-9;)<br>_R or _r files refer to reference files : i.e. Data captured from a solid- matching layer- air interface._M or _m file refer to measurement files: i.e. Data captured from a solid-matching layer - liquid (oil stated in title) interface.