Contributors: Sergio Valadez-Godínez, Juan Humberto Sossa Azuela, Raúl Santiago-Montero
... This data contains the Supplementary material for the paper "On the Accuracy and Computational Cost of Spiking Neuron Implementation." This is divided into five folders: 1) Source code, 2) Raw data, 3) Calculations, 4) Tables, and 5) Figures. The Source code folder has the script files written in Python 3.7.3. There are two sub-folders inside this folder separating the scripts into constant and random input current tests, respectively. Each sub-folder has a separate Python script that performs a benchmark test for each Spiking Neuron (SN) model. The Raw data folder collects the data generated by executing the scripts in the Source code folder and by following the instructions in the Testing procedure section of the paper. This stores the raw data for several SNs, firing frequencies, and input currents. This folder has a sub-folder with several files recording the random input currents used in the benchmark tests. The Raw data folder also has two sub-folders with the benchmark test results, each for a specific stimulation current type. The Benchmark test sub-folders give the CPU execution time, the SCF (Spike Coincidence Factor), the VCF (Voltage Coincidence Factor), the last spike displacement, and the firing frequency for each Numerical Method (NM) and time step. Other four sub-folders are containing the spike-timing and voltage time course data. These data are separated into constant and random input currents and NM and time step. The Calculations folder gives two files in .xlsx format with several estimates used in the paper. These files collect the CPU time, SCF, VCF, last spike displacement, and firing frequency from Raw data folder and compute the CCF (Computational Cost Factor) and GPF (Global Performance Factor) for several SNs and firing frequencies. Also, these files calculate the average and increment/decrement percent in FLOPS, CPU time, CCF, SCF, VCF, last spike displacement, and GPF among several SNs and NMs. Furthermore, these files examine the balanced, lower limit, upper limit, Skocik-Long, and Izhikevich configurations mentioned in the paper. Fourth and fifth folders contain the supplementary tables and figures, respectively, referenced in the article.
Oxidative stress induced by the tetrahydrobenzimidazole TMQ0153 modulates crosstalk between apoptosis, autophagy and necroptosis in chronic myeloid leukemia (Part 3 - Figure 4 (b), Figure 5, 6, 7, Supplementary 1-5)
Contributors: Sungmi Song
... Aims: We demonstrate the capacity of the cytotoxic synthetic tetrahydrobenzimidazole (TMQ) hydroquinone (HQ) derivative TMQ0153 to induce reactive oxygen species (ROS) and mediate differential cell death modalities in chronic myeloid leukemia (CML). Results: Results showed that concentrations of TMQ0153 30 µM lead to ROS-mediated necrostatin-sensitive necroptosis. Moreover, TMQ0153 allowed us to elucidate the interplay of ROS-mediated cell death and cell stress/survival mechanisms as this compound triggers protective autophagy in response to metabolic stress in CML cells. Importantly, the modulation of cell stress prior to TMQ0153-induced cell death enhances the exposure of “find-me”/“eat-me” signals considered as hallmarks of immunogenic cell death (ICD), altogether providing a pro-oxidant therapeutic strategy against CML. Innovation: We suggest here a pro-oxidant anti-CML therapy leading to differential cell death modalities in both imatinib-sensitive and -resistant CML cell types. Moreover, we elucidated the interplay between apoptosis, autophagy and controlled necrosis induced by TMQ0153 leading to disruption of mitochondrial homeostasis. Conclusion: Our findings indicate that TMQ0153-induced ROS act as a rheostat determining the onset of apoptotic- or autophagy-related controlled necrotic cell death in CML.
The relationship between regular sinusoidal waves in the tissue at lung-related acupuncture points and the respiration pacesetter mechanism
Contributors: Fletcher Kovich
... This data compliments a paper entitled: The relationship between regular sinusoidal waves in the tissue at lung-related acupuncture points and the respiration pacesetter mechanism. The paper fully describes and analyses the data. At the time of writing, the paper is still in production. Please see the links at the end of this dataset, which will be updated once the paper is published.
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Data for: Substantially enhanced varistor properties and dielectric response in (Zn2+, Sn4+) co-doped CaCu3Ti4O12 ceramics
Contributors: Prasit Thongbai
... Raw data for all figures in this paper.
Supporting information for "Parameterising the seasonal-diurnal wind climate of Rome: Fiumicino and Ciampino"
Contributors: Nicholas Cook
... This dataset contains information supporting the above titled paper in Meteorological Applications. The data includes the processed joint PDFs of wind speed and direction from 45 years of observations at half-hour intervals for Fiumicino and Ciampino airports. These data have been analysed by month and time of day to reveal the seasonal-diurnal variation of wind vector, and parameterised by fitting to the OEN model of Harris & Cook (https://doi.org/10.1016/j.jweia.2014.05.005). The joint PDFs are revealed to be a mixture of distinct seven diurnal and three non-diurnal wind-producing mechanisms including calms, local-scale and continental-scale land and sea breezes, transient along-shore jets, down-slope winds and a component attributed to the atmospheric tide. Values of the OEN parameters for each component are provided for the first fit, second fit, Fourier-smoothed and fuzzy OEN model. Charts are provided which compare the second-fit and smoothed model parameters over the seasonal and diurnal cycles. R scripts are provided to reproduce the figures in the paper and the additional charts, and to demonstrate accessing the data for further examination and analysis.
Contributors: Laura Newsome
... Data associated with manuscript 'Manganese and cobalt redox cycling in laterites; biogeochemical and bioprocessing implications'
Contributors: Peter Ormosi
... The data was collected for a paper that looked at the flight-related carbon emission of economics conferences. The data contains the list of speakers, the name of their home institution, the title of their presentations, the venue of the conference, the year of the conference, and attendance numbers for 263 economics conferences from 2001 to the end of 2018. 99 of these conferences were in the US, 107 in the EU, and 57 in other countries. This included 55,008 presentations by 26,312 distinct speakers. The data also contains the distance between the presenter's home institution and the conference venue and a calculated CO2 emission figure, based on assumptions explained in the attached data codebook. Finally, the dataset contains the number of citation each paper has received. Citation data was available for only a sample of 16,760 presentations (trips) by 10,080 distinct speakers.
Contributors: Thomas Wollmann, Haris Tabakovic
... This dataset replicates tables and figures in the article "The Impact of Money on Science." The paper measures the productivity of university research investments and asks whether the resulting pools of knowledge create valuable, downstream technology (or simply accumulate in the “ivory tower”). It uses unexpected NCAA athletic outcomes to vary research support to university faculty and estimate knowledge productivity. We find positive, significant effects of research expenditures on articles published and patents filed. Then, using data on university technology licensing income, we show that these investments produce large returns in real terms. The data consists of an instrument, inputs, and outputs (from the knowledge production process). -The instrument consists of Associated Press college football team rankings. -The inputs the knowledge production function consist of the following: * research support expenditures (downloaded from the National Science Foundation) * faculty headcounts and expenditures (also downloaded from the National Science Foundation) * physical capital, i.e. facility expenditures (downloaded from IPEDS) - The outputs measure patenting, publishing, and licensing activity * Patent data comes from PatentsView.org (http://www.patentsview.org) and the USPTO Office of the Chief Economist. * Publishing activity is measured by academic publications, mainly in the ``STEM'' fields * University technology licensing revenues are surveyed and published by Association of University Technology Managers (``AUTM'') More details on the construction of these measures can be found in the associated article. Name correspondences are provided in an Excel file (nameMerge.xlsx). Code that combines the data from the subfolders and replicates the relevant tables and figures of the paper is provided in a STATA "do" file (master_final.do). Output files are exported to the "output" subfolder.
Contributors: Qiankun Liu, Jingang Jiang, Changwei Jing, Zhong Liu, Jiaguo Qi
... In this paper, a new, alternative, multi-scale, multi-pollution source waste load allocation (WLA) system was developed, with a goal to produce optimal, fair quota allocations at multiple scales. The new WLA system integrates multi-constrained environmental Gini coefficients (EGCs) and Delphi-analytic hierarchy process (Delphi-AHP) optimization models to achieve the stated goal. This dataset consists of the raw data and the source code of models (The multi-constrained environmental Gini coefficients and Delphi-analytic hierarchy process optimization models). The source code of the multi-constrained EGCs and Delphi-AHP models was used to run the program in MATLAB environment to allocate waste load reduction quotas at both the regional scale and the site-specific scale with multiple pollution sources. The raw data mainly consists of the following two parts: (1) The shp files of various geographic information data, which was used to depicture the administrative divisions, pollution source distribution, geographical characteristics and patterns of Xian-jiang watershed; (2) The basic data includes the statistical yearbook data of villages and towns in Ningbo city, the various indicator data using to calculate the weights at criteria level and decision-making level, the contribution coefficients, and the EGC values of the three pollutants. On the basis of these data, a new, alternative, multi-scale, multi-sector optimal WLA framework was developed. The new scheme provides decision-makers critical information (i.e., the best compromise solutions of WLA) and practical guidance as they address the related water pollution control. The results, in comparison with existing practices by the local governments, suggested that the pollution discharge quota at regional scale is much fairer than the existing WLA and, even have some environmental economic benefits at pollutant source scale after optimal WLA. Some important conclusions had been found: 1) Reductions and proportions of pollutants at regional scale are significantly associated with the region’s actual socioeconomic development modes. 2）There are certain characteristics that high-reduced pollution sources tend to share (which are listed in the article). The sources with the above features should be the top priorities in the reduction of removals. 3）Most previous studies reported primarily on the WLA of removals among point sources pollution. Conversely, we found that the industrial pollution source should be the last option for reduction from an environmental-economic benefit perspective. Instead, the often overlooked types, such as agricultural non-point source and domestic sources, deserve more attention, especially in extensive rural areas.