cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/8axv-ma58
title: Arabic Sign language

description: KSU-ArSL was developed by the Center of Smart Robotics Research at King Saud University (KSU) in conjunction with the Higher Education Program for the Deaf and Hard of Hearing. The dataset consists of 80 classes (belonging to 80 signs) recorded by 40 healthy subjects using three cameras (one RGB and two Microsoft Kinect cameras). Each subject repeated each sign 5 times in five separate sessions at the same day. As a result, there are 200 video samples per class, 16000 samples in total per camera. Dataset recording was performed in an uncontrolled environment to reflect real-world conditions. No restrictions were imposed on lighting conditions, background color, and people's clothing. The distances between the acquisition equipment and the subjects were variable. This restriction-free recording makes the KSU-ArSL dataset very challenging.
DOI: 10.21413/iasi-ft_metopb_atp_l3_latmos-ulb
title: IASI Atmospheric Temperature Profiles (ATP) from IASI/Metop-B

description: The IASI atmospheric temperature profiles product (IASI ATP) is a daily 1°x1° global dataset of atmospheric temperatures derived from all IASI radiance observations. The temperatures profiles are given on 11 static pressure levels from 750 to 2 hPa. The method used to retrieve atmospheric temperatures from IASI radiances is detailed in Bouillon et al., 2021 (to be submitted very soon). It relies on an Artificial Neural Network (ANN) trained with 450 000 observations (IASI observations and NOAA-CO2 in input, ERA5 observations in output. The trained ANN was applied to reprocessed IASI L1C data, in order to produce a homogeneous atmospheric temperature record from 2008 to present. The dataset consists of daily mean NETCDF files of around 3 MB each (total 14 GB for the 2008-2017 period available to date). Each file includes the gridded daily atmospheric temperature profiles (day and night mixed together). Missing values are set at NaN. Size of the grids: 90 lines (from -89.5 to 89.5 °N), 180 columns (from -179.5 to 179.5 °E), 11 aisles (pressure levels: 2, 7, 10, 30, 20, 70, 100, 200, 400, 550 and 750 hPa). Unit: K.
description: The method is based on an artificial neural network (ANN) technique, trained to compute atmospheric temperatures from spectral radiances. For the training of the ANN, 450 000 IASI observations, and the corresponding ERA5 temperature profiles, were selected randomly over the period 2008-2020. The trained ANN was then applied to compute atmospheric temperatures from all IASI/Metop-A observations from 2007-07-10 to 2017-12-31 and all IASI/Metop-B observations from 2018-01-01 to 2020-12-31.
description: Product data level : "L3" (daily 1°x1° grid)
description: https://iasi.cnes.fr/
description: Publication: Bouillon, M., Safieddine, S., Whitburn, S., Clarisse, L., Aires, F., Pellet, V., Lezeaux, O., Scott, N., Doutriaux-Boucher, M. and Clerbaux, C. (2021). Time evolution of temperature profiles retrieved from 13 years of IASI data using an artificial neural network. (to be submitted soon in Atmospheric Measurement Techniques journal)
DOI: 10.6084/m9.figshare.20043374.v8
title: DDXPlus Dataset

description: We are releasing under the CC-BY licence a new large-scale dataset for Automatic Symptom Detection (ASD) and Automatic Diagnosis (AD) systems in the medical domain. The dataset contains patients synthesized using a proprietary medical knowledge base and a commercial rule-based ASD system. Patients in the dataset are characterized by their socio-demographic data, a pathology they are suffering from, a set of symptoms and antecedents related to this pathology, and a differential diagnosis. The symptoms and antecedents can be binary, categorical and multi-choice, with the potential of leading to more efficient and natural interactions between ASD/AD systems and patients. To the best of our knowledge, this is the first large-scale dataset that includes the differential diagnosis, and non-binary symptoms and antecedents.
DOI: 10.5281/zenodo.6659995
title: Reproducibility data for tables in "A machine learning approach to portfolio pricing and risk management for high dimensional problems"

description: This dataset contains all the information necessary for reproducing the tables in the paper "A machine learning approach to portfolio pricing and risk management for high dimensional problems". The raw benchmark data can be found in the Zenodo dataset "Benchmark and training data for replicating financial and insurance examples" (https://zenodo.org/record/3837381). To the extend necessary, only summary data from that dataset is used in this dataset. The dataset includes a jupyter notebook file that explains what the different files contain, and provides sample code to analyze the information and reproduce the tables.
description: v2 of this dataset is identical to v1 but with all files inside a .zip file for a more convenient download.
DOI: 10.5281/zenodo.6659958
title: Reproducibility data for tables in "A machine learning approach to portfolio pricing and risk management for high dimensional problems"

description: This dataset contains all the information necessary for reproducing the tables in the paper "A machine learning approach to portfolio pricing and risk management for high dimensional problems". The raw benchmark data can be found in the Zenodo dataset "Benchmark and training data for replicating financial and insurance examples" (https://zenodo.org/record/3837381). To the extend necessary, only summary data from that dataset is used in this dataset. The dataset includes a jupyter notebook file that explains what the different files contain, and provides sample code to analyze the information and reproduce the tables.
description: v2 of this dataset is identical to v1 but with all files inside a .zip file for a more convenient download.
DOI: 10.6084/m9.figshare.17021879
title: Eco-friendly Fashion among Generation Z: Mixed-methods study on Price Value Image, Customer Fulfillment, and Pro-environmental Behavior.

description: Raising environmental awareness and product development are two separate and costly investments that many small and medium-sized fashion businesses cannot afford to achieve sustainability. Therefore, there is a need to decide which factors more significantly impact consumer loyalty and purchase intention toward eco-friendly fashion. Thus, the study employs a mixed-methods approach to research how customers' perception about product-service quality and their environmental awareness and pro-environmental behavior impact purchase intention and customer loyalty toward eco-friendly fashion products among Vietnamese Gen Z's. Most interviewees acknowledged that their primary source of knowledge for eco-friendly fashion was social media. The qualitative results further show that the knowledge and attitude toward eco-friendly fashion practices are insufficient to convince young customers to afford eco-friendly fashion products. The quantitative results show that while customer-related factors play a more significant role in stimulating purchase intention, only product-service quality factors impact loyalty. Hence, the study suggests that businesses should prioritize improving service and product quality rather than funding green marketing when targeting the Vietnamese Gen Z. Government should prioritize financial and technological support for fashion firms to develop high-quality eco-friendly fashion to ensure the availability of products in the market.
DOI: 10.34740/kaggle/ds/2275679
title: COB: Common Objects in Bathroom (Restroom)
DOI: 10.5281/zenodo.5675154
title: Dataset of optimal cement-based panels enhanced with microencapsulated phase change material for EnergyPlus simulations

description: This dataset includes:<br> - A series of EnergyPlus models of the BESTEST - Case 900 - from ANSI/ASHRAE Standard 140-2011 for the original (Baseline_Case900) and three enhanced designs (Opt-1, Opt-2, Opt-5) by using a cement-based panel containing microencapsulated phase change material.<br> - All the optimal solutions (parameters and corresponding performance) in XLSX format, which were obtained for two multiobjective optimization studies of the thermophysical properties (ParetoFront_CaseA and ParetoFront_CaseB).<br> - The typical meteorological year (TMY) of Sofia city employed to obtain the results, which is freely provided by Climate.One.Building.Org repository (https://climate.onebuilding.org/)
DOI: 10.5281/zenodo.5675153
title: Dataset of optimal cement-based panels enhanced with microencapsulated phase change material for EnergyPlus simulations

description: This dataset includes:<br> - A series of EnergyPlus models of the BESTEST - Case 900 - from ANSI/ASHRAE Standard 140-2011 for the original (Baseline_Case900) and three enhanced designs (Opt-1, Opt-2, Opt-5) by using a cement-based panel containing microencapsulated phase change material.<br> - All the optimal solutions (parameters and corresponding performance) in XLSX format, which were obtained for two multiobjective optimization studies of the thermophysical properties (ParetoFront_CaseA and ParetoFront_CaseB).<br> - The typical meteorological year (TMY) of Sofia city employed to obtain the results, which is freely provided by Climate.One.Building.Org repository (https://climate.onebuilding.org/)
DOI: 10.5517/ccdc.csd.cc25rmj3
title: CCDC 2018705: Experimental Crystal Structure Determination

description: Related Article: Michael A. Boreen, Christopher Z. Ye, Andrew Kerridge, Karl N. McCabe, Brighton A. Skeel, Laurent Maron, John Arnold|2022|Inorg.Chem.|61|8955|doi:10.1021/acs.inorgchem.2c01563
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25rmk4
title: CCDC 2018706: Experimental Crystal Structure Determination

description: Related Article: Michael A. Boreen, Christopher Z. Ye, Andrew Kerridge, Karl N. McCabe, Brighton A. Skeel, Laurent Maron, John Arnold|2022|Inorg.Chem.|61|8955|doi:10.1021/acs.inorgchem.2c01563
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc280t48
title: CCDC 2086149: Experimental Crystal Structure Determination

description: Related Article: Aaron Gerwien, Frederik Gnannt, Peter Mayer, Henry Dube|2022|Nature Chemistry|14|670|doi:10.1038/s41557-022-00917-0
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc280t59
title: CCDC 2086150: Experimental Crystal Structure Determination

description: Related Article: Aaron Gerwien, Frederik Gnannt, Peter Mayer, Henry Dube|2022|Nature Chemistry|14|670|doi:10.1038/s41557-022-00917-0
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/tvz8-k068
title: Parkes observations for project P1152 semester 2022APRS_07

description: A large population of millisecond pulsars (MSPs) is expected in the Galactic bulge and is supported, among others, by the existence of a spatially extended gamma-ray excess emission discovered in Fermi-LAT data towards the inner Galaxy. Discovering MSPs in the Galactic bulge, would be a major breakthrough with strong impact onto several fields. In Berteaud et al. [2021a, 2021b], we have designed a new method to select bulge MSP candidates among Chandra X-ray cataloged sources. We also analysed imaging data of the VLA and identified 5 potential bulge MSP candidates, detected both with Chandra and VLA. Here we propose to follow up these 5 sources with the UWL receiver system on Parkes, which has the unique potential of probe their MSP nature thanks to multi-band, deep, observations. With the requested time, for two high-priority candidates, we will be able identify any bulge MSP with a pulse period P &gt; 1 ms. Three targets at lower priority can be identified as bulge MSP if their period is larger than 4 ms. Our goal is to provide the first multi-wavelength diagnostics of bulge MSPs, gather information about the MSP/pulsar ratio among the bulge X-ray candidates, and, finally, unveil the nature of the mysterious Fermi-LAT excess.
DOI: 10.34740/kaggle/dsv/3825409
title: MFVT Dataset for Real-time Masked Facial Detection
DOI: 10.5281/zenodo.6660133
title: Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution"

description: Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution". Contains the data generated for this work, questions used for interviews/questionnaire, and coding process.
DOI: 10.5281/zenodo.5794452
title: Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution"

description: Supplementary Material for the Manuscript "CADV: A software visualization approach for code annotations distribution". Contains the data generated for this work, questions used for interviews/questionnaire, and coding process.
DOI: 10.21227/phr0-e264
title: MSCAD

description: Nowadays, with the rapid increase in the number of applications and networks, the number of cyber multi-step attacks has been increasing exponentially. Thus, the need for a reliable and acceptable Intrusion Detection System (IDS) solution is becoming urgent to protect the networks and devices. However, implementing a robust IDS needs a reliable and up-to-date dataset in order to capture the behaviors of the new types of attacks, especially multi-step attacks. In this work, a new benchmark Multi-Step Cyber-Attack Dataset (MSCAD) is introduced. MSCAD includes two multi-step scenarios; the first scenario is a password cracking attack, and the second attack scenario is a volume-based Distributed Denial of Service (DDoS) attack. The MSCAD was assessed in two manners; firstly, the MSCAD was used to train IDS. Then, the performance of IDS was evaluated in terms of G-mean and Area Under Curve (AUC). Secondly, the MSCAD was compared with other free open-source and public datasets based on the latest key criteria of a dataset evaluation framework. The results show that IDS-based MSCAD achieved the best performance with G-mean of 0.83 and obtained good accuracy to detect the attacks. Besides, the MSCAD successfully passed twelve key criteria.
DOI: 10.34740/kaggle/dsv/3825629
title: MFVT Dataset for Real-time Masked Facial Detection
DOI: 10.34740/kaggle/ds/2278284
title: MFVT Dataset for Real-time Masked Facial Detection
DOI: 10.18112/openneuro.ds003688.v1.0.7
title: Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
DOI: 10.5281/zenodo.6660812
title: NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions

description: The folder contains raw data used in the manuscript titled "NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions". Data includes raw 1D NMR data, a new 1D isotope and diffusion filtered NMR pulse sequence, MALDI-TOF-MS data, and an SDS-PAGE gel image.
DOI: 10.5281/zenodo.6660811
title: NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions

description: The folder contains raw data used in the manuscript titled "NMR as a readout to monitor and restore the integrity of complex chemoenzymatic reactions". Data includes raw 1D NMR data, a new 1D isotope and diffusion filtered NMR pulse sequence, MALDI-TOF-MS data, and an SDS-PAGE gel image.
DOI: 10.6084/m9.figshare.20098094
title: Swept Source OCT test dataset for OCTproZ Phase Extraction Extension

description: This swept source OCT raw data can be used together with OCTproZ and the "Phase Extraction Extension" plugin. It can be used to get familiar with the phase extraction extension without having to acquire your own dataset. Data size information: 12 bits per sample 1664 samples per raw A-scan 512 A-scans per B-scan 256 B-scans per Volume 2 Volumes General data information: The processed OCT data shows a laminated IR detector card and a calibration signal. The calibration signal can be used to extract the phase of the swept source signal to perform wavenumber linearization on the OCT dataset. At the end of the volume scan, the slow scanner quickly moves back to the start point of the volume. During this flyback period, 14 of the 256 B-scans of a single volume are acquired. These 14 B-scans can be clearly seen in the volume rendering of the data at one edge of the volume, but do not affect the wavenumber calibration in any way. This is the dataset that was used in "OCT wavenumber calibration with simple reference arm modification" <br>
DOI: 10.5281/zenodo.6660969
title: Excel data set for meta-analysis

description: Data set for Effectiveness of cognitive behavioural therapy-based interventions for maternal perinatal depression: a systematic review and meta-analysis
DOI: 10.5281/zenodo.6660968
title: Excel data set for meta-analysis

description: Data set for Effectiveness of cognitive behavioural therapy-based interventions for maternal perinatal depression: a systematic review and meta-analysis
DOI: 10.6084/m9.figshare.3761562.v2253
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.18112/openneuro.ds002893.v2.0.0
title: Auditory-Visual Shift Study
DOI: 10.5281/zenodo.6660991
title: Cellulose Synthase Tethering Attenuates Mechano-induced Microtubule Organization in pavement cells

description: Mechanical forces control development in plants and animals, acting as cues in pattern formation and as the driving force of morphogenesis. In mammalian cells, molecular assemblies residing at the interface of the cell membrane and the extracellular matrix play an important role in perceiving and transmitting external mechanical signals to trigger physiological responses. Similar processes occur in plants, but there is little understanding of the molecular mechanisms and their genetic basis. Here, we show that number and movements directions of cellulose synthase complexes (CSCs) at the plasma membrane vary during initial stages of development in the cotyledon epidermis of Arabidopsis, closely mirroring the microtubule organization. Uncoupling microtubules and CSCs resulted in enhanced microtubule co-alignment as caused by mechanical stimuli driven either by cell shape or by tissue-scale physical perturbations. Furthermore, micromechanical perturbation resulted in depletion of CSCs from the plasma membrane suggesting a possible link between cellulose synthase removal from the plasma membrane and microtubule response to mechanical stimuli. Taken together, our results suggest that the interaction of cellulose synthase and cortical microtubules forms a physical continuum between the cell wall, plasma membrane, and the cytoskeleton that modulates the mechano-response of the cytoskeleton.
DOI: 10.5281/zenodo.6660990
title: Cellulose Synthase Tethering Attenuates Mechano-induced Microtubule Organization in pavement cells

description: Mechanical forces control development in plants and animals, acting as cues in pattern formation and as the driving force of morphogenesis. In mammalian cells, molecular assemblies residing at the interface of the cell membrane and the extracellular matrix play an important role in perceiving and transmitting external mechanical signals to trigger physiological responses. Similar processes occur in plants, but there is little understanding of the molecular mechanisms and their genetic basis. Here, we show that number and movements directions of cellulose synthase complexes (CSCs) at the plasma membrane vary during initial stages of development in the cotyledon epidermis of Arabidopsis, closely mirroring the microtubule organization. Uncoupling microtubules and CSCs resulted in enhanced microtubule co-alignment as caused by mechanical stimuli driven either by cell shape or by tissue-scale physical perturbations. Furthermore, micromechanical perturbation resulted in depletion of CSCs from the plasma membrane suggesting a possible link between cellulose synthase removal from the plasma membrane and microtubule response to mechanical stimuli. Taken together, our results suggest that the interaction of cellulose synthase and cortical microtubules forms a physical continuum between the cell wall, plasma membrane, and the cytoskeleton that modulates the mechano-response of the cytoskeleton.
DOI: 10.5281/zenodo.6661375
title: PyC_conductivity

description: Measured conductivity of Pyrolytic carbon. Ac conductivity measured in THz frequency range by time domain THz spectrometer, reconstructed from transmittance and reflectance measurements for different types of synthesised directly on dielectric SiO2 substrates at 1000C by annealing at 900 C using different carbon precursors (photoresists, mentioned in data sheets). Last column corresponds to conductivity of those samples calculated in effective medium theory, see details for measurements and theory in: P. Kuzhir, A. Celzard, and X. Chen, “Microwave absorption by carbon-based materials and structures (Editorial),” Journal of Applied Physics, 131, 200401 (2022)
DOI: 10.5281/zenodo.6661374
title: PyC_conductivity

description: Measured conductivity of Pyrolytic carbon. Ac conductivity measured in THz frequency range by time domain THz spectrometer, reconstructed from transmittance and reflectance measurements for different types of synthesised directly on dielectric SiO2 substrates at 1000C by annealing at 900 C using different carbon precursors (photoresists, mentioned in data sheets). Last column corresponds to conductivity of those samples calculated in effective medium theory, see details for measurements and theory in: P. Kuzhir, A. Celzard, and X. Chen, “Microwave absorption by carbon-based materials and structures (Editorial),” Journal of Applied Physics, 131, 200401 (2022)
DOI: 10.6084/m9.figshare.20098112
title: Zhou-Nam 2022

description: Supporting data for Zhou et al. (2022). <br> A_measured_data contains OCT vibration measurement data for 2-D motion analyses. <br> B_simulations contains the FE analysis codes for the identification of mechancial properties.
DOI: 10.6084/m9.figshare.20098112.v2
title: Zhou-Nam 2022

description: Supporting data for Zhou et al. (2022). <br> A_measured_data contains OCT vibration measurement data for 2-D motion analyses. <br> B_simulations contains the FE analysis codes for the identification of mechancial properties.
DOI: 10.6084/m9.figshare.20098112.v1
title: Zhou-Nam 2022

description: Supporting data for Zhou et al. (2022). <br> A_measured_data(20220618) contains the OCT vibration measurement data for 2-D analyses. <br> B_simulations (20220618) contains the FE analysis codes for the identification of mechancial properties.