cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p9e3b8ag
title: Plotting multiple fault representations: Applications for National Seismic Hazard Model 2023 update (NSHM-faultmaps)

description: The National Seismic Hazard Model (NSHM) utilizes a fault sections database (FSD) throughout the model workflow. Working towards a 2023 NSHM release, the NSHM23 FSD encompasses a major update with the addition of new fault sections, as well as the revision of existing fault sections from prior FSD (2014). The additions and revisions were largely based on the U.S. Geological Survey's Quaternary Faults and Folds Database (QFFD). The nshm-faultmaps.ipynb Jupyter Notebook (Python code) provides users with a visual, side-by-side comparison of fault representations from the QFFD, NSHM14 FSD and NSHM23 FSD. The code downloads the fault sections databases to the user's computer and plots maps of each fault based on the user's preferences.
DOI: 10.5281/zenodo.1194645
title: Atmospheric Inversion Results: Sources Of Atmospheric Halocarbons In The Eastern Mediterranean

description: Settings, run script, observations and results from all inverse modelling runs used in Schönenberger et al., APC, 2018, for European sources of halocarbons for the year 2013.

Settings and run script can be found in inversion_run_scripts.tar.gz. In order to reprocess the results the R package 'Rinversion' for atmospheric inversion (https://doi.org/10.5281/zenodo.1194641) has to be installed and the simulated source sensitivities (https://doi.org/10.5281/zenodo.1194037) have to be downloaded. Observations (halocarbon_observations.tar.gz) are post-processed observations of the AGAGE network (http://agage.mit.edu/) plus those gathered at the Finokalia site (https://doi.org/10.5281/zenodo.1186221).

Inversion results (inversion_results.tar) are contained as separate  packages for each individual sensitivity experiment described in the publication. The sensitivity experiments are listed in inversion_results/InversionRuns.xlsx and agree with those listed in Table 1 of the publication. Subfolders are organised by halocarbon species: HCFC_142b, HCFC_22, HFC_125, HFC_152a, HFC_134, HFC_143a. For each halocarbon results are stored in form of plots, ASCII spread sheets (csv, dat) or R data objects (.rda). Time series and distribution plots are available in separate subfolders. Intermediate data used by the inversion code are stored in 'intermediates', whereas the final results of each inversion run are stored as a single R object (inversion_results_XXX.rda).
description: {"references": ["Schoenenberger, F., Henne, S., Hill, M., Vollmer, M. K., Kouvarakis, G., Mihalopoulos, N., O'Doherty, S., Maione, M., Emmenegger, L., Peter, T., and Reimann, S.: Abundance and sources of atmospheric halocarbons in the Eastern Mediterranean, Atmos. Chem. Phys., 18, 4069-4092, https://doi.org/10.5194/acp-18-4069-2018, 2018."]}
DOI: 10.5281/zenodo.6620655
title: EPIC: Annotated epileptic EEG independent components for artifact reduction

description: Scalp electroencephalogram is a non-invasive multi-channel biosignal that records the brain’s electrical activity. It is highly susceptible to noise that might overshadow important data. Independent component analysis is one of the most used artifact removal methods. Independent component analysis separates data into different components, although it can not automatically reject the noisy ones. Therefore, experts are needed to decide which components must be removed before reconstructing the data. To automate this method, researchers have developed classifiers to identify noisy components. However, to build these classifiers, they need annotated data. Manually classifying independent components is a time-consuming task. Furthermore, few labeled data are publicly available. This dataset is composed of a source of annotated electroencephalogram independent components acquired from patients with epilepsy (EPIC Dataset). This dataset contains 77,426 independent components obtained from approximately 613 hours of electroencephalogram, visually inspected by two experts, which was already successfully utilized to develop independent component classifiers.
description: This work is funded by FCT- Foundation for Science and Technology, I.P., within the scope of the projects: CISUC UID/CEC/00326/2020 with funds from the European Social Fund, through the Regional Operational Program Centro 2020; and project RECoD - PTDC/EEI-EEE/5788/2020 financed with national funds (PIDDAC) via the Portuguese State Budget. Fábio Lopes gratefully acknowledges the Portuguese funding institution FCT (Foundation for Science and Technology), the226 Human Capital Operational Program (POCH) and the European Union (EU) for supporting this research work under Ph.D.227 grant 2020.04537.BD.
DOI: 10.5281/zenodo.7007628
title: Supporting dataset of Balloon-bore Aerosol-Cloud Interaction Studies (BACIS): Field campaigns to understand and quantiy aerosol effects on clouds

description: The upload comprises raw dataset of supporting instruments from BACIS Campaigns conducted from NARL, Gadanki.
DOI: 10.18750/massbalance.2020.r2021
title: Swiss Glacier Mass Balance 2020 (release 2021)

description: Direct measurements of glacier mass balance - the sum of snow accumulation and snow/ice melt - are carried out on selected glaciers in Switzerland. Based on point observations, typically acquired in April/May and September, glacier-wide quantities of seasonal mass balance (winter/summer/annual) are evaluated, expressed as a an area-averaged value of water eqivalent. The dataset contains all available observations up to present and is delivered as four separate .csv files with results both for the exact measurement periods (observation, varying between the years) and the hydrological year (fixdate), as well as for glacier-wide quantities and for individual elevation bins.
DOI: 10.5258/soton/d2299
title: Dataset to support the journal article 'Experimental demonstration of single-span 100-km O-band 4×50-Gb/s CWDM direct-detection transmission'

description: This dataset contains data supporting the figures presented in the article. Fig. 2. Achievable reach versus bandwidth of electrical signal at the wavelengths of 1330.6 nm, 1343.1 nm, 1351.1 nm, and 1360.0 nm. Fig. 3. Simulation results of BER versus SNR after 50-Gb/s transmission in 100-km length of SMF: (a) Nyquist OOK and (b) KK-QPSK. Fig. 4. Simulation results of BER versus the amount of CD for 50-Gb/s transmission at 1360.0 nm using: (a) Nyquist OOK and (b) KK-QPSK. Fig. 6. Optical spectrum of the signal at the 1330.6-nm channel after the MZM in the case of: (a) Nyquist OOK transmission, and (b) KK-QPSK transmission. Fig. 7. Gain performance of the two BDFAs used in the experiments. Fig. 8. BER results under different OSNRs of the B2B link at (a) 1330.6 nm, (b) 1343.1 nm, (c) 1351.1 nm, and (d) 1360.0 nm. Fig. 9. BER versus total launch power at the 1330.6-nm channel: (a) after 75-km SMF, and (b) after 100-km SMF. Fig. 10. BER results under different OSNRs of the CWDM system after the 75-km length of SMF: (a) 1330.6-nm, (b) 1343.1-nm, (c) 1351.1-nm, and (d) 1360.0-nm channel. Fig. 13. BER results under different OSNRs of the CWDM system after 100-km length of SMF: (a) 1330.6-nm, (b) 1343.1-nm, (c) 1351.1-nm, and (d) 1360.0-nm c
DOI: 10.5281/zenodo.6604130
title: Sample ECCOH OH Parameterization

description: A sample parameterization of OH for July created to be used with the ECCOH module of the GEOS Earth System Model. The methodology to generate the parameterization is described in detail in the GMD article "A Machine Learning Methodology for the Generation of a Parameterization of the Hydroxyl Radical". The parameterization is included as an example and should not be used for research purposes without consulting the publication and/or the authors. We have also included the dataset used to train the parameterization (OHParameterization_TrainingSet_1980_2019_M07.dat) as well as the training targets (OHParameterization_Targets_1980_2019_M07.dat). The training data are from the NASA MERRA2 GMI simulation (https://acd-ext.gsfc.nasa.gov/Projects/GEOSCCM/MERRA2GMI/). The scripts used to generate the training dataset and the parameterization can be found at https://zenodo.org/record/6046037.
DOI: 10.5281/zenodo.6849477
title: The dataset of photovoltaic power plant distribution in China by 2020

description: Photovoltaic (PV) technology, an efficient solution for mitigating the impacts of climate change, has been increasingly used across the world to replace fossil-fuel power to minimize greenhouse gas emissions. With the world's highest cumulative and fastest built PV capacity, China needs to assess the environmental and social impacts of these established photovoltaic (PV) power plants. However, a comprehensive map regarding the PV power plants' locations and extent remain scarce on the country scale. This study developed a workflow combining machine learning and visual interpretation methods with big satellite data to map PV power plants across China. We applied a pixel-based Random Forest (RF) model to classify the PV power plants from composite images in 2020 with 30-meter spatial resolution on Google Earth Engine (GEE). The result classification map was further improved by a visual interpretation approach. Eventually, we established a map of PV power plants in China by 2020, covering a total area of 2917 km<sup>2</sup>. We found that most PV power plants were sited on cropland, followed by barren land and grassland based on the derived national PV map. In addition, the installation of PV power plants has generally decreased the vegetation cover. This new dataset is expected to be conducive to policy management, environmental assessment, and further classification of PV power plants.
description: {"references": ["Mapping photovoltaic power plants in China using Landsat, Random Forest, and Google Earth Engine. https://doi.org/10.5194/essd-2022-16"]}
DOI: 10.5285/c61bfe88-873b-44d8-9b0e-6a0ee884ad95
title: ESA Sea Ice Climate Change Initiative (Sea_Ice_cci): Sea Ice Concentration climate data record from the AMSR-E and AMSR-2 instruments at 25km grid spacing, version 2.0
DOI: 10.6084/m9.figshare.19848607.v1
title: data spss11.22.sav

description: SPSS data set for: <strong>PARENTS’ PERCEPTIONS ON POLICIES OF EARLY CHILDHOOD CARE AND EDUCATION PROGRAMMES IN SELECTED STATES OF MALAYSIA</strong>
DOI: 10.6084/m9.figshare.20198681
title: Supplementary Material for: Interventions for the Prevention of Preterm Premature Rupture of Membranes: a Systematic Review and Meta-Analysis

description: ABSTRACT Introduction: Preterm prelabour rupture of membranes (PPRoM) is a significant cause of maternal and perinatal morbidity and mortality. The aim of this project was to identify interventions that reduce the prevalence of PPRoM. Methods: Search strategy included a systematic literature search of MEDLINE, EMBASE, PubMed and Cochrane Library. The selection criteria included randomised control studies that compared a therapy to standard care (no therapy or placebo) in pregnancy and included PPRoM as an outcome. Risk of bias was assessed according to the Cochrane risk-of-bias tool for randomised trials. Odds ratios with 95% confidence intervals were calculated using random effects models. Quality of evidence was assessed using the GRADE methodology. Results: Twenty-nine studies examining 10 interventions met the inclusion criteria. Therapies included docosahexaenoic acid (DHA), aspirin, rofecoxib, vitamin C alone and with vitamin E, folic acid (alone, with iron, with iron and zinc, within a multiple micronutrient supplement), zinc, calcium, copper and treatment of bacterial vaginosis. There was no significant difference in the prevalence of PPRoM in the treatment groups compared to placebo, except for rofecoxib which showed an increased risk of PPRoM (RR 2.46, 95% CI 1.28 – 4.73; p = 0.007, 1 trial, 98 women; very low quality of evidence) and a multiple micronutrient supplement which showed a reduction in PPRoM (RR 0.40, 95% CI 0.19 – 0.84; p = 0.01, 1 trial, 1671 women; very low quality of evidence). Conclusions: No interventions have been convincingly shown to reduce the prevalence of PPRoM. Given this is a common problem leading to significant morbidity and mortality, further research is required.
DOI: 10.6084/m9.figshare.20501535
title: Supplementary Material for: Telemedicine and Clinical Outcomes in Peritoneal Dialysis: A Propensity-Matched Study

description: <b><i>Introduction:</i></b> Telemedicine (TM) has shown to provide potential benefits on clinical outcomes in patients with chronic kidney disease but limited evidences published in the peritoneal dialysis (PD) population. This study aimed to explore the long-term effects of TM on the mortality and technique failure. <b><i>Methods:</i></b> The Peritoneal Dialysis Telemedicine-assisted Platform Cohort Study (PDTAP Study) was conducted prospectively in 27 hospitals in China since 2016. Patient and practice data were collected through the doctor-end of the TM app (Manburs) for all participants. TM including self-monitoring records, on-line education materials, and real-time physician-patient contact was only performed for the patient-end users of the Manburs. The primary outcome was all-cause mortality. The secondary outcomes were cause-specific mortality and all-cause and cause-specific permanent transfer to hemodialysis. <b><i>Results:</i></b> A total of 7,539 PD patients were enrolled between June 2016 and April 2019, with follow-up till December 2020. Patients were divided into two cohorts: TM group (39.1%) and non-TM group (60.9%). A propensity score was used to create 2,160 matched pairs in which the baseline covariates were well-balanced. There were significantly lower risks of all-cause mortality (HR 0.59 [0.51, 0.67], <i>p</i> &lt; 0.001), CVD mortality (HR 0.59 [0.49, 0.70], <i>p</i> &lt; 0.001), all-cause transfer to hemodialysis (0.57 [0.48, 0.67], <i>p</i> &lt; 0.001), transfer to hemodialysis from PD-related infection (0.67 [0.51, 0.88], <i>p</i> = 0.003), severe fluid overload (0.40 [0.30, 0.55], <i>p</i> &lt; 0.001), inadequate solute clearance (0.49 [0.26, 0.92], <i>p</i> = 0.026), and catheter-related noninfectious complications (0.41 [0.17, 0.97], <i>p</i> = 0.041) in the TM group compared with the non-TM group. <b><i>Conclusion:</i></b> This study indicated real-world associations between TM usage and reduction in patient survival and technique survival through a multicenter prospective cohort.
DOI: 10.6084/m9.figshare.20517405
title: Supplementary Material for: Neurosarcoidosis Presenting with Prominent Periventricular White-Matter Lesions during Steroid Treatment for Autoimmune Hepatitis

description: A 63-year-old woman under treatment of autoimmune hepatitis presented with headache, memory loss, and somnolence. Three months before admission, the patient experienced liver inflammation relapse after prednisolone (PSL) cessation. Consequently, PSL was resumed and then tapered. Cerebrospinal fluid (CSF) examination showed lymphocytic pleocytosis with remarkably reduced glucose and elevated angiotensin-converting enzyme and soluble interleukin-2 receptor levels. Magnetic resonance imaging (MRI) revealed prominent bilateral periventricular white-matter lesions, hydrocephalus, ischemic stroke with gadolinium enhancement of frontoparietal and basilar meninges on contrast-enhanced fluid-attenuated inversion recovery. Magnetic resonance angiography (MRA) showed narrowing of the bilateral middle cerebral arteries. Based on these findings, we diagnosed the patient with neurosarcoidosis. Re-increment of PSL improved the neurological symptoms, CSF findings, and abnormalities found on MRI and MRA. This case suggests that neurosarcoidosis may occur as a complication of some autoimmune diseases during immunotherapy administration.
DOI: 10.7295/w9cil54846
title: CIL:54846, Danio rerio, Whole larva
DOI: 10.7295/w9cil54847
title: CIL:54847, Danio rerio, Whole larva
DOI: 10.7295/w9cil54849
title: CIL:54849, Danio rerio, Whole larva
DOI: 10.7295/w9cil54850
title: CIL:54850, Danio rerio, Whole larva
DOI: 10.17632/kj443jc4yc.1
title: Acoustic Therapies for Tinnitus Treatment: An EEG Database

description: Tecnologico de Monterrey
School of Engineering and Sciences
Neuroengineering and Neuroacoustics Research Group 

Context: Refractory and chronic tinnitus is a disease where the affected patient tends to feel phantom sounds in a bilateral or unilateral way. This uncontrolled buzz affects the quality life of patients in both directions: personal and professional. It does not exist yet a cure towards this condition; however, different types of treatment have been tested. In this research, five different acoustic therapies were tested in order to determine how effective this sound-based treatment is to reduce the tinnitus perception.

Objective: To determine the effectiveness of five different therapies: (1) relaxing music, (2) tinnitus retraining therapy (TRT), (3) therapy for enriched acoustic environment (TEAE), (4) binaural beats therapy (TBB), and (5) auditory discrimination therapy (ADT) for reducing the tinnitus perception in patients suffering from refractory and chronic tinnitus by analyzing their electroencephalographic (EEG) activity.

Main Outcome Measure: The main outcome measure in this research was the monitoring of EEG signals of each acoustic therapy in each patient at the beginning of the experiment, during the process of the experiment and at the end of the experiment in order to analyze the treatment effect on tinnitus. Additionally, perception, stress and anxiety levels were also monitored (note that this information is provided as an Excel-file). The whole process took 8 weeks to be completed in each case. 

Limitations: The bigger limitation beneath the research was the lack of a guarantee towards the correct application of the acoustic therapy, mainly because the recruited participants would receive the daily therapy session at their home places without any professional taking care of the proper usage. One way to intend a reduction of the risk towards a mistaken application of the acoustic therapy was to recruit patients with a commitment over the experiment. This selection of patients was developed thanks to a previous filtering process undertaken in the National Institute of Rehabilitation. Also, it is important to mention that the patients that became our participants must sign a compromise statement under the acceptance that they agree to be part of the analysis and program. Another limitation that became part of the experimental process was that in this case we had only used 17 out of the 19 electrodes of the 10/20 system, so the limitation was over the number of EEG channels. However, we consider that the estimation of EEG measures is still feasible and reliable invariably the number of electrodes.

Generalizability: As most of experimental studies, the present one consisted of a no random sample with a random assignment. Namely, the results of this study can be causal but not generalizable.

Funding: The present study attracted L’Oréal-UNESCO-CONACYT-AMC Organization as a sponsor on October 16th, 2017.
DOI: 10.17632/yt4h7h9cvv.1
title: Cytotoxicity database

description: Database of cytotoxic evaluation of P. guajava and Peruvian propolis on 3 cell lines.
DOI: 10.25493/9ges-37k
title: Phase-interaction matrices of the phase relationships of different pathological states of consciousness

description: The complex brain dynamics that sustain conscious processes have been attempted to be explained in various ways. Over recent years, several theoretical frameworks have been proposed to explain consciousness postulating the differentiation between consciousness state (i.e., level) and content (i.e., expression). Most consciousness theories rely on the different measures such as neural synchronicity, complexity, causality and integrated information etc. To explore the theoretical perspective in the clinical aspect of loss of consciousness, several empirical (model free) measures can be applied on resting state functional MRI data. To this end, we share phase-synchronization matrices that capture the relationships between phases of blood-oxygen-level-dependent (BOLD) signals and have been proven to effectively describe the spatiotemporal dynamics. Ultimately, measures derived from such matrices could be used as biomarkers in clinical practice to identify the level of consciousness, predict outcomes and to form the ethical guideline for patient management.
DOI: 10.5281/zenodo.1208135
title: Repository Of Wesc2017 Paper Data - Benefits Of Subcomponent Testing Over Full- Scale Blade Testing Elaborated On A Trailing-Edge Bond Line Design

description: Title:<br>
Benefits of subcomponent over full-scale blade testing elaborated on a trailing-edge bond line design validation

Authors:<br>
Malo Rosemeier, Gregor Basters, and Alexandros Antoniou

Affiliation:<br>
Division Structural Components, Fraunhofer IWES, Fraunhofer Institute for Wind Energy Systems, Am Seedeich 45, 27572 Bremerhaven, Germany

The following data used for the study is provided:


	 data_blade.zip contains input data for fusedwind-dev (https://github.com/FUSED-Wind/fusedwind-dev) of the DTU10MW blade.
	data_becas.zip contains input/ output data obtained for/ from BECAS with BECASWrapper (https://gitlab.windenergy.dtu.dk/HAWTOpt2/BECASWrapper).
	data_rfoil.zip contains polars obtained from Rfoil.
	data_feproc.zip contains the ANSYS APDL models obtained with FEPROCWrapper (https://gitlab.iwes.fraunhofer.de/git/bdt/FEPROCWrapper).
	*.sqlite data bases contain all results data which can be accessed with the `post.py` script.
	result_plots.zip contain the results generated by the `post.py` script.


For further details see the manuscript.
description: We acknowledge the support of the European Commission's Seventh Framework Programme within the IRPWind project (609795) and the support within the Future Concept Fatigue Strength of Rotor Blades project granted by the German Federal Ministry for Economic Affairs and Energy (BMWi) (0325939) and the Senator for Health, Environment and Consumer Protection of the Free Hanseatic City of Bremen within the ERDF programme Bremen 2014-2020 (201/PF_IWES_Zukunftskonzept_Betriebsfestigkeit_Rotorblätter_Phase I).
DOI: 10.5281/zenodo.3898225
title: COVID19_SHIYAN

description: This dataset contains COVID-19 cases data with time of exposure and symptom onset in Shiyan, Hubei province .
DOI: 10.5281/zenodo.5842519
title: An Artificial Intelligence Dataset for Solar Energy Locations in India

description: To expedite development of solar energy, land use planners will need access to up-to-date and accurate geo-spatial information of PV infrastructure. In this work, we develop a machine learning model to map utility-scale solar projects across India using freely available satellite imagery. Model predictions were validated by human experts to obtain a total of 1438 solar farms. We also estimate the solar footprint across India and quantified the degree of land modification associated with land cover types that may cause conflicts. Our analysis indicates that over 74% of solar development in India was built on landcover types that have natural ecosystem preservation, and agricultural values. Our work increases the feasibility of long-term monitoring of renewable energy deployment targets.
DOI: 10.6084/m9.figshare.17286902.v1
title: Raw data and Questionnaire of research "Performance and Preference of Problem-Based Learning (PBL) and Lecture-Based Classes Among Medical Students of Nepal."

description: Raw data and Questionnaire of research "Performance and Preference of Problem-Based Learning (PBL) and Lecture-Based Classes Among Medical Students of Nepal."