cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27110332.v2
title: Supplementary Information 6: Extended Discussion

description: The information within this file provides a discussion of possible chains of logic and associated theoretical frameworks which can be associated with and possibly explain the generated organotrophic data and MALDI analyses
DOI: 10.6084/m9.figshare.28811336.v1
title: Effectiveness of EPN for African bollworm management data

description: Effectiveness of Entomopathogenic nematode isolates collected in Ethiopia against African bollworm in chickpea crop. Its was evaluated under laboratory and field conditions.
DOI: 10.6084/m9.figshare.1569781.v1
title: Mass Spectrometry or Osganotropic Exosomes

description: Cancer Exosomes
DOI: 10.6084/m9.figshare.22728374.v1
title: metadata.csv

description: metadata
DOI: 10.6084/m9.figshare.3558312.v1
title: Appendix B. Statistical results of split-plot ANOVA for grass and forb ecosystem measurements in response to simulated grazing and precipitation treatments.

description: Statistical results of split-plot ANOVA for grass and forb ecosystem measurements in response to simulated grazing and precipitation treatments.
DOI: 10.6084/m9.figshare.22009724.v1
title: GaitPrint_Subject_Characteristics

description: Datafile containing the subject characteristics of this dataset
DOI: 10.6084/m9.figshare.5974978.v1
title: A mobile endocytic network connects clathrin-independent receptor endocytosis to recycling and promotes T cell activation

description: This file will contain most raw data underlying publication of E.B. Compeer et al. Nature Communications 2018. (updated when paper is published online)
DOI: 10.6084/m9.figshare.9791285.v2
title: Results of the route choice experiments over the Lyon road network

description: The data contains the route choices of the participants in computer route choice experiments. The data is organized in long format, so there are three lines per choice, where each line corresponds to an alternative route. Six attributes of the alternative routes are included: Euclidean distance between origin and destination, the length of the route, the number of turns per km, the directness, the % of freeway composition and the travel time informed to the participants in the experiments.<br>
DOI: 10.6084/m9.figshare.3559890.v1
title: Appendix C. Rectangular patch and nest results, rarefaction curves, species list, and diversity measures.

description: Rectangular patch and nest results, rarefaction curves, species list, and diversity measures.
DOI: 10.6084/m9.figshare.21971219.v1
title: data_pedi

description: Pig pedigree data for genomic selection, containing three breed (Duroc, Landrace and Yorkshire).
DOI: 10.6084/m9.figshare.1054316.v1
title: A BOTNET DETECTION TECHNIQUES

description: Botnets are emerging as the most serious threat against cyber-security as they provide a<br>distributed platform for several illegal activities such as launching distributed denial of service attacks<br>against critical targets, malware dissemination, phishing, and click fraud. The defining characteristic of<br>botnets is the use of command and control channels through which they can be updated and directed.<br>Recently, botnet detection has been an interesting research topic related to cyber-threat and cyber-crime<br>prevention. This paper is a survey of botnet and botnet detection. The survey clarifies botnet<br>phenomenon and discusses botnet detection techniques. This survey classifies botnet detection<br>techniques into four classes: signature-based, anomaly-based, DNS-based, and mining-base.
DOI: 10.17632/923hy8vwhd
title: Mendeley Supplementary Fig 1 AFX

description: Figure 1. Atypical fibroxanthoma. Study inclusion flow diagram
DOI: 10.6084/m9.figshare.22361818.v1
title: Supplementary Material for: Tryptophol acetate and tyrosol acetate, small molecule metabolites identified in a probiotic mixture, inhibit hyperinflammation

description: Probiotic fermented foods are perceived as contributing to human health, however solid evidence for their presumptive therapeutic systemic benefits is generally lacking. Here we report that tryptophol acetate and tyrosol acetate, small molecule metabolites secreted by the probiotic milk-fermented yeast Kluyveromyces marxianus inhibit hyperinflammation (e.g., “cytokine storm”). Comprehensive in vivo and in vitro analyses, employing LPS-induced hyperinflammation models, reveal dramatic effects of the molecules, added in tandem, on mice morbidity, laboratory parameters, and mortality. Specifically, we observed attenuated levels of the pro-inflammatory cytokines IL-6, IL-1α, IL-1β and TNF-α, and reduced reactive oxygen species. Importantly, tryptophol acetate and tyrosol acetate did not completely suppress pro-inflammatory cytokine generation, rather brought their concentrations back to baseline levels thus maintaining core immune functions, including phagocytosis. The anti-inflammatory effects of tryptophol acetate and tyrosol acetate were mediated through downregulation of TLR4, IL-1R, and TNFR signaling pathways and increased A20 expression, leading to NF-kB inhibition. Overall, this work illuminates phenomenological and molecular details underscoring anti-inflammatory properties of small molecules identified in a probiotic mixture, pointing to potential therapeutic avenues against severe inflammation.
DOI: 10.17632/drv825hp82
title: Data on Growth, Productivity, Pigments and Proximate Composition of Freshwater Microalgae Scenedesmus sp. culture in nitrogen stress

description: Fig.1 - Data on Cell density, Optical density, Biomass Fig.2 - Data on Chlorophyll a,b Fig.3 - Data on total chlorophyll Fig.4 - Data on carotenoid Fig.5 - Data on proximate composition Table 1 - Data on Volumetric, areal, lipid productivity, SGR, Cell doubling time Table 2 - Data on total phycobiliprotein
DOI: 10.6084/m9.figshare.27850653.v2
title: source data of "Self-assembly of 1T/1H superlattices in transition metal dichalcogenides"

description: We report a chemical vapour transport method to synthesize NbSe<sub>2</sub>-based 1T/1H superlattice single crystals, showing hybridized electronic properties from the constituent layers.The raw data is provided here.
DOI: 10.6084/m9.figshare.24975114.v1
title: Supplementary Material for: A novel dry simulator model for learning comprehensive endoscopic retrograde cholangiopancreatography/endoscopic sphincterotomy procedures while minimizing adverse bleeding events (with Video)

description: Background: Endoscopic retrograde cholangiopancreatography (ERCP) and endoscopic sphincterotomy (EST) are essential skills for endoscopic cholangio-pancreatic procedures. However, these procedures have a high incidence of adverse events, and most training is currently patient-based. Herein, we aimed to develop an ERCP/EST simulator model to address the need for safer training alternatives, especially for learners with limited ERCP experience.
Methods: The model was designed to facilitate the use of actual endoscopic devices, supporting learning objectives that align with the components of the validated Bethesda ERCP Skill Assessment Tool (BESAT). BESAT focuses on skills such as papillary alignment and maintenance of duodenoscope position, gentle and efficient cannulation, controlled sphincterotomy in the correct trajectory, and guidewire manipulation. Thirty gastroenterology trainees used the simulator between May 2022 and March 2023, and their satisfaction was assessed using a visual analog scale (VAS) and pre- and post-training questionnaires.
Results: The novel simulator model comprises a disposable duodenal papillary portion, suitable for incision with an electrosurgical knife, alongside washable upper gastrointestinal tract and bile duct portions, designed for repeated use. The duodenal papillary portion enabled reproduction of a realistic endoscope position and the adverse bleeding events due to improper incisions. The bile duct portion allowed for the reproduction of fluoroscopic-like images, enabling learners to practice guidewire guidance and insert other devices. After training, the median VAS score reflecting the expectation for model learning significantly increased from 69.5 (interquartile range [IQR]:55.5–76.5) to 85.5 (IQR: 78.0–92.0) (P&lt;0.01). All participants expressed their desire for repeated simulator training sessions.
Conclusions: This innovative simulator serves as a practical educational tool, particularly beneficial for novices in ERCP. It facilitates hands-on practice with actual devices, enhancing procedural fluency and understanding of precise incisions to minimize the risk of bleeding complications during EST.
DOI: 10.6084/m9.figshare.25097537.v2
title: <b>Janus electronic state</b><b> of supported </b><b>iridium </b><b>nanoclusters for sustainable alkaline water electrolysis</b>

description: Metal-support electronic interactions play crucial roles in triggering the hydrogen spillover (HSo) to boost hydrogen evolution reaction (HER). It requires the supported metal of electron-rich state to facilitate the proton adsorption/spillover. However, this electron-rich metal state contradicts the traditional metal→support electron transfer protocol and is not compatible with the electron-donating oxygen evolution reaction (OER), especially in proton-poor alkaline conditions. Here we profile an Ir/NiPS<sub>3</sub> support structure to study the Ir electronic states and performances in HSo/OER-integrated alkaline water electrolysis. The supported Ir is evidenced with Janus electron-rich and electron-poor states at the tip and interface regions to respectively facilitate the HSo and OER processes. Resultantly, the water electrolysis (WE) is efficiently implemented with 1.51 V at 10 mA cm<sup>–2 </sup>for 1000 hours in 1 M KOH and 1.44 V in urea-KOH electrolyte. This research clarifies the Janus electronic state as fundamental in rationalizing efficient metal-support WE catalysts.
DOI: 10.6084/m9.figshare.5896789.v2
title: Stan code and data for Apple proliferation joint model

description: The compressed file contains the rstan-code and the data set used to fit the joint model for the Apple proliferation disease. The data set includes data on environment, vector, pathogen and AP symptoms of apple trees.
DOI: 10.6084/m9.figshare.5103256.v1
title: Fig1e_10122014

description: HFSCs and epidermal cells were isolated during telogen (day 50) by FACS, and metabolites were extracted and analyzed by LC-MS.
DOI: 10.6084/m9.figshare.23744628.v1
title: <strong>Table_S1: The role of thermal tolerance in determining elevational distributions of four arthropod taxa in mountainranges of southern Asia</strong>

description: Physiological thermal tolerances, geographical range limits information at species level at two trasects.
DOI: 10.6084/m9.figshare.6967658.v1
title: Burden and quality of life of hospitalized patients’ caregivers: an analysis based on the International Classification of Functioning, Disability and Health (ICF)

description: Abstract Objective: to characterize the profile and the relationship between burden and quality of life (QOL) of hospitalized patients’ caregivers according to the International Classification of Functioning Disability and Health (ICF) biopsychological model. To analyze the correlation between caregiver’s burden and the level of patients’ motor and cognitive dependency. Methods: cross-sectional study, involving 68 caregivers of patients hospitalized for 12 or more days. Caregivers’ QOL and burden were assessed by the Short Form Health Survey (SF-36) and the Zarit scale (Zarit Burden Interview), respectively. Functional Independence Measure was used to characterize patients’ motor and cognitive dependency. The relationship between the results and the ICF concepts was analyzed. Results: according to ICF qualifiers, a progressive impairment in the caregivers’ QOL was observed with burden increasing. There was a statistically significant negative correlation, of low magnitude, between perception of QOL and burden. There was no correlation between caregiver’s burden and patient’s dependency level. Conclusion: SF-36 can analyze 13 ICF categories. It allows evaluating caregivers in a comprehensive way and in accordance with the biopsychosocial model. It can also help to apply ICF in clinical practice.
DOI: 10.60893/figshare.sss.26528236.v1
title: 01961-01

description: 4H-SiC IR-VUV optical properties Ordinary
DOI: 10.6084/m9.figshare.13404413.v1
title: A gridded annual runoff dataset from 1982 to 2016 for Peru

description: A gridded annual runoff dataset from 1982 to 2016 has been developed using PISCO dataset (http://iridl.ldeo.columbia.edu/SOURCES/.SENAMHI/.HSR/.PISCO/): streamflow, precipitation, and potential evapotranspiration (from temperature using Hargreaves-Samani). A probabilistic Budyko approach was used to estimate runoff using 14 spatial clusters where an empirical distribution of omega (Fu's parameter) was fitted to the data. In this sense, a maximum, mean, and minimum value is given for runoff in each grid.
DOI: 10.6084/m9.figshare.5039207.v2
title: Raw data from Effects of time pressure and time passage on face-matching accuracy.

description: This file contains data for all experiments.
DOI: 10.17632/ybjnpbd6k4
title: DeTECLoad

description: + IMU data for 14 subjects (R: right ankle, L: left ankle, W: waist)
+ Experimental Information
+ Ground truth
DOI: 10.6084/m9.figshare.24152160.v2
title: Balancing non-CO2 GHG emissions and soil carbon sequestration in U.S. rice paddies: implications for natural climate solutions

description: The U.S. rice paddy systems play an increasingly vital role in ensuring food security, which also contribute massive anthropogenic non-CO<sub>2</sub> (CH<sub>4</sub> and N<sub>2</sub>O) greenhouse gas (GHG) emissions with expanding cultivation area. However, the magnitude and spatiotemporal variations of net GHG balance, i.e., trade-offs between SOC (Soil Organic Carbon) sequestration and non-CO<sub>2</sub> GHG emissions, in paddy soils and the drivers of their changes, have not yet been rigorously assessed. Integrating an improved agricultural ecosystem model with a meta-analysis of multiple field studies (a total of 322 site-year data representing 43 locations for U.S. rice paddies and 3402 site-year data representing 1113 locations for global rice paddies), here we found that U.S. rice paddy was a rapidly growing net GHG emission source, increased 138% from 3.73 ± 1.16 Tg CO<sub>2</sub>eq yr<sup>-1</sup> in the 1960s to 8.88 ± 2.65 Tg CO<sub>2</sub>eq yr<sup>-1</sup> in the 2010s. CH<sub>4</sub> emission made the most significant contribution (10.12 ± 2.28 Tg CO<sub>2</sub>eq yr<sup>-1</sup>) to this increase in net GHG emissions in the 2010s, but increasing N<sub>2</sub>O emissions, accounting for ~2.4% (0.21 ± 0.03 Tg CO<sub>2</sub>eq yr<sup>-1</sup>), cannot be ignored. SOC sequestration could offset about 14.0% (1.45 ± 0.46 Tg CO<sub>2</sub>eq yr<sup>-1</sup>) of the climate-warming effects of soil non-CO<sub>2</sub> GHG emissions in the 2010s. The intensification of land use/cover area, atmospheric CO<sub>2</sub>,synthetic N fertilizer usage and the application of manure were the dominant factors that induced net GHG emissions aggravation in rice paddies. Climate change was also critical in aggravating ~21% of soil N<sub>2</sub>O emission and ~10% of soil CO<sub>2</sub> release in the 2010s. However, adopting no/reduced tillage resulted in a substantial decrease of ~10 % in net soil GHG emissions, and non-continuous irrigation exhibited the potential to mitigate around 39% of soil non-CO<sub>2</sub> GHG emissions. Overall, the cost of this net GHG emissions for achieving increased U.S. rice yield markedly declined from 1960 to 2018, resulting in 0.84 ± 0.18 kg CO<sub>2</sub>eq ha<sup>-1</sup> of net soil GHGs on average for each kilogram of grain produced in the 2010s. There would be a great potential to reduce emissions intensity in the mid-South U.S., especially the Mississippi Delta region, through optimization of the synthetic N fertilizer and manure ratio, reduction of tillage practices, and implementation of non-continuous irrigation. Our findings underscore the importance of net CO<sub>2</sub> GHG mitigation in U.S. rice paddies for achieving net zero-emission and climate-friendly rice production.Unit: CH4 (g C/m2); N2O (g N/m2); CO2 (g C/m2)
DOI: 10.6084/m9.figshare.19740130.v1
title: all_soil_phage_LVD_v1

description: Land use viromes
DOI: 10.6084/m9.figshare.25567482.v1
title: benchmark.tar.gz

description: the benchmark dataset
DOI: 10.6084/m9.figshare.21913161.v2
title: ve_vals_multiple_sources.xlsx

description: A way of collecting various data sources from different papers into one spreadsheet. The data in question are measures of immune protection against COVID-19, omicron BA.1 and BA.2 variants. The protection is against acquisition, transmission, hospitalisation, death and critical care. Immunity comes from vaccinations and from previous infection. <br> A seperate spreadsheet contains values for variants BA.4 and BA.5 where previous infection is considered to be infection with BA.1 and BA.2 variants. <br> References are listed in the spreadsheet.
DOI: 10.6084/m9.figshare.27640737.v2
title: Supplementary material

description: Supplementary material for the article "<b>Evaluation of a forest trail simulator board game by environmental educators: A didactic tool for understanding the biome, indigenous culture and mining in the Amazon rainforest</b>"
DOI: 10.17632/222nkpmmyj
title: Data for "Impact of Catch-Up Vaccination on Aluminum Exposure Due to New Laws and Post Social Distancing"
DOI: 10.17632/92kzf5t5xn
title: Long-term (1960-2017) simulation of Lake Champs-sur-Marne with Delft3D-FLOW: model configuration and results

description: This data set is relative to the article “The thermal response of small and shallow lakes to climate change: new insights from 3D hindcast modelling” (Piccioni et al., ESD, 2021). The Delft3d-FLOW module from the Delft3D modeling package (version 4.01.01.rc.03) was used to simulate and reconstruct the hydrodynamics of Lake Champs-sur-Marne (France, lat.: 48.864035, long.: 2.596436) during a 58 year-long period going from 1960 to 2017, in order to investigate the time and spatial evolution of its thermal regime. The model is forced with hourly meteorological data of relative humidity [%], air temperature [°C], net solar radiation [J.s-1.m-2], wind speed [m.s-1] and direction [°N]. Long-term data of specific humidity, air temperature, net solar radiation and wind speed are issued from the SAFRAN meteorological reanalysis (e.g. Raimonet et al., 2017) and were provided for this study by Météo-France. Raw SAFRAN data were processed and, when needed, converted as specified in Piccioni et al. (2021). The resulting meteorological data set in terms of relative humidity, air temperature, net solar radiation and wind speed was used in Piccioni et al. (2021), and is stored here in the text file “Meteo_input_1960_2017.txt”. Any other publication using these data should mention the source and Météo-France must appear explicitly in the acknowledgements. Wind direction data used in the study are property of Météo-France (Meteorological station in Trappes (F)). They were retrieved through the INRAE CLIMATIK platform (https://intranet.inrae.fr/climatik/, last access: 5 March 2020, in French) managed by the AgroClim laboratory of Avignon, France. They are therefore not included in this data set. In this data set users will find the model set-up for the long-term three-dimensional simulation as well as model results in terms of water temperature at measuring site A in text format. The model set-up consists of: • Two files defining the computational mesh: “Grid.grd” and “Grid_enc.enc” • One file defining bathymetry: “Depth.dep” • One file defining the location of the monitoring points: “Monitoring_location.obs” • One master definition flow file defining all parameters and information needed to carry out the hydrodynamic simulation: “19600101_20171231.mdf” Model results are here given in a single text file (“Results_1960_2017_A.txt”) for one location (site A) and all 12 layers in terms of water temperature [°C]. The file is organized as a table with one raw for each output time step of the model (hourly). The first column contains time as serial date numbers according to the proleptic ISO calendar used in MATLAB; following, are model results for all layers of the model from bottom to surface.
DOI: 10.17632/nntmcg6fz5
title: PM2.5-xinzang

description: PM2.5 induced cardiac fibrosis
DOI: 10.6084/m9.figshare.22794635.v1
title: Summary of research data on the role played by religious art in inducing altered consciousness experiences during Shamanic rituals

description: We used a sample group of 75 people for the data collection of The Paranormal Belief Scale (PBS) and Aussergewohnliche Psychische Zustande (APZ). Used to explore the role played by religious art in inducing altered consciousness experiences during Shamanic rituals.
DOI: 10.6084/m9.figshare.25467583.v1
title: Supplementary Material for: A novel validated real-world dataset for the diagnosis of multi-class serous effusion cytology according to TIS and ground-truth validation data.

description: Introduction: The application of AI algorithms in serous fluid cytology is lacking due to the deficiency in standardized publicly available datasets. Here, we develop a novel public serous effusion cytology dataset. Furthermore, we apply AI algorithms on it to test its diagnostic utility and safety in clinical practice. 
Methods: The work is divided into three phases. Phase 1 entails building the dataset based on the multi-tiered evidence-based classification system proposed by the international system (TIS) of serous fluid cytology along with ground truth tissue diagnosis for malignancy. To ensure reliable results of future AI research on this dataset, we carefully consider all the steps of the preparation and staining from a real-world cytopathology perspective. In Phase 2, we pay special consideration to the image acquisition pipeline to ensure image integrity. Then we utilize the power of transfer learning using the convolutional layers of the VGG16 deep learning model for feature extraction Finally, in Phase 3, we apply the random forest classifier on the constructed dataset. 
Results: The dataset comprises 3731 images distributed among the four TIS diagnostic categories. The model achieves 74 % accuracy in this multiclass classification problem. Using a one versus all classifier, the fall-out rate for images that are misclassified as negative for malignancy despite being a higher risk diagnosis is 0.13. Most of these misclassified images (77%) belong to the atypia of undetermined significance category in concordance with real-life statistics. 
Conclusion: This is the first and largest publicly available serous fluid cytology dataset based on a standardized diagnostic system. It is also the first dataset to include various types of effusions and is the first dataset to include pericardial fluid specimens. In addition, it is the first dataset to include the diagnostically challenging atypical categories. AI algorithms applied on this novel dataset show reliable results that can incorporated in actual clinical practice with minimal risk of missing a diagnosis of malignancy. This work provides a foundation for researchers to develop and test further AI algorithms for the diagnosis of serous effusions.