Find research datasets worth reusing

opencc-by-4.0Nov 2023View details →

Supplementary Material - Systematic Mapping Study - Information and Software Technology

Supplementary material - Article title: "Constructing the graphical structure of expert-based Bayesian networks in the context of software engineering: A systematic mapping study" - Information and Software Technology. This file contains the detailed procedure employed in the systematic mapping.

Data from: Density matters: How population dynamics of house mice (Mus musculus) inform the epidemiology of Leptospira

Rodents are maintenance hosts of numerous pathogens, and both their density and the pathogen prevalence determine the risk they pose to other animals or humans. However, density is often overlooked. We investigated a capture-mark-recapture-sampling strategy to study introduced mice (Mus musculus) and Leptospira as a model and demonstrate the advantages of a combined approach. We estimated population density and Leptospira prevalence in mice in a replicated longitudinal survey conducted between 2016 and 2018. Capture-mark-recapture sessions were undertaken at two sites in Spring and Autumn and blood and kidney samples were collected at the end of each session. Mouse density and areas of activity were estimated using spatially explicit capture-recapture (SECR) models and both were compared between Leptospira positive and negative mice. Leptospira exposure and shedding status were estimated using Microscopic Agglutination Test, and a combination of culture and lipL32 PCR on kidneys. Leptospira prevalence was higher in spring (83% to 86%) than in autumn (31% to 37%) and mouse densities simultaneously varied from 3.6 to 55.9/ha. However, despite these variations in prevalence and density, the density of infected animals remained relatively constant over time (3 to 8/ha). Shedding or being seropositive was also associated with the activity of mice. Shedding or seropositive mice had a larger activity area, and seropositive mice were trapped on average one day earlier than seronegative mice. Synthesis and applications. Our results show how understanding the population dynamics of pathogen-carrying rodents is critical in epidemiology. The wider movement patterns and easier encounters of positive mice highlight the possibility of biases in classical prevalence surveys and have implications for disease transmission within and between species. Importantly, and quite counter-intuitively, Leptospira prevalence was negatively associated with mouse density, resulting in a constant density of shedders that contradicts the conventional view of higher exposure risk at high rodent density. More broadly, such hybrid sampling designs can improve animal and disease control policies and better inform modelling studies by providing more parameter estimates than classical prevalence surveys.

Supporting Information for the submitted manuscript by Rajič et al. The origin of tectonic mélanges and implication for the subduction interface processes

Files shared here contain supporting information for the submitted manuscript by Rajič et al. Appendix 1 file contains Text A.1, Tables A.1-2 and Figures A.1-8. Appendix 2 file contains all raw Raman spectra acquired in this study, along with READ ME text file.

Supplementary information from: A systematic review of trace elements in the tissues of bats (Chiroptera)

Bats constitute about 22% of known mammal species; they have various ecological roles and provide many ecosystem services. Bats suffer from several threats caused by anthropization, including exposure to toxic metals and metalloids. In our systematic review, we analyzed 75 papers to investigate how species, diet, and tissue type impact bioaccumulation in bat species all over the world. Most studies documented element accumulation in fur, liver, and kidney; at least 36 metals and metalloids have been measured in bat tissues, among the most studied were mercury and zinc. Comparisons with known toxicological thresholds for other mammals showed concerning values for mercury and zinc in bat hair, lead and some essential metals in liver, and iron and calcium in kidneys. Moreover, accumulation patterns in tissues differed depending on bat diet: insectivorous bats showed higher metal concentrations in fur than in liver and kidney while frugivorous species showed higher values in liver and kidney than in fur. This review points out several information gaps in the understanding of metal contamination in bats, including a lack of measured toxicity thresholds specific for bat tissues. Data on trace element bioaccumulation and its associated health effects on bats is important for conservation of bat species, many of which are threatened.

Open Data in German Forest Information Systems: Towards an EU Forest Resilience Monitor (Collection of Forest Resilience Indicators)

This dataset represents the collection of forest indicators for my Master's Thesis in the pioneer master programme at the Universities of Münster, Tallinn (Taltech) and Leuven (KUL), titled "Open Data in German Forest Governance: Towards an EU Forest Resilience Monitor".  It contains a classification of inicators sourced from: <ul> <li> Nikinmaa, L., Lindner, M., Cantarello, E., Jump, A. S., Seidl, R., Winkel, G., & Muys, B. (2020). Reviewing the use of resilience concepts in forest sciences. Current Forestry Reports, 6, 61-80. </li> <li> European Commission. (2023a). Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on a monitoring framework for resilient European forests. Directorate-General for Environment. Lastly retrieved on December 17, 2023 from <a href="https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en">https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2023)728&amp;lang=en&lang=en</a>. </li> <li> European Parliament. (2024, February 27). European Parliament legislative resolution of 27 February 2024 on the proposal for a regulation of the European Parliament and of the Council on nature restoration (COM(2022)0304 – C9-0208/2022 – 2022/0195(COD)). Lastly retrieved on April 26, 2024 from <a href="https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html">https://www.europarl.europa.eu/doceo/document/TA-9-2024-0089_EN.html</a>. </li> </ul>

opencc-by-4.0May 2024View details →

Multi-Generational Black Hole Population Analysis with an Astrophysically Informed Mass Function

We analyze the population statistics of black holes in the LIGO/Virgo/KAGRA GWTC-3 catalog using a parametric mass function derived from simulations of massive stars experiencing pulsational pair-instability supernovae (PPISN). Our formalism enables us to separate the black hole mass function into sub-populations corresponding to mergers between objects formed via different astrophysical pathways, allowing us to infer the properties of black holes formed from stellar collapse and black holes formed via prior mergers separately. Applying this formalism, we find that this model fits the data better than the powerlaw+peak model with Bayes factor 9.7±0.1. We measure the location of the lower edge of the upper black hole mass gap to be 84.05-12.88+17.19 M☉, providing evidence that the 35M☉ Gaussian peak detected in the data using other models is not associated with the PPISN pile-up predicted to precede this gap. Incorporating spin, we find that the normalized spins of stellar remnant black holes are close to zero while those of higher generation black holes tend to larger values. All of these results are in accordance with the predictions of stellar structure theory and black hole merger scenarios. Finally, we combine our mass function with the spectral siren method for measuring the Hubble constant to find H₀=36.19-10.91+17.50 km/s/Mpc and discuss potential explanations of this low value. Our results demonstrate how astrophysically-informed mass functions can facilitate the interpretation of gravitational wave catalog data to provide information about black hole formation and cosmology. Future data releases will improve the precision of our measurements.

opencc-by-4.0Oct 2013View details →

Data from: Maranville JC, Baxter SS, Witonsky DB, Chase MA, Di Rienzo A. (2013) Genetic Mapping with Multiple Levels of Phenotypic Information Reveals Determinants of Lymphocyte Glucocorticoid Sensitivity.

Genotype data for 88 African American indviduals in binary PLINK format published in  Maranville JC, Baxter SS, Witonsky DB, Chase MA, Di Rienzo A. (2013) Genetic Mapping with Multiple Levels of Phenotypic Information Reveals Determinants of Lymphocyte Glucocorticoid Sensitivity. Am J Hum Genet. 93(4):735-743

A Multi-Pollutant Emissions Inventory for Air Pollution Modeling and Supporting Information for Kampala

This paper is under review Abstract: Kampala, the political and economic capital of Uganda and one of the fastest urbanising cities in sub-Saharan Africa, is experiencing a deteriorating trend in air quality with emissions from multiple diffused local sources like transportation, domestic and outdoor cooking, and industries, and sources outside the city airshed like seasonal open fires in the region. PM2.5 (particulate matter under 2.5um size) is the key pollutant of concern in the city with monthly spatial heterogeneity of 60-100 ug/m3. Outdoor air pollution is distinctly pronounced in the global south cities and lack the necessary capacity and resources to develop integrated air quality management programmes including ambient monitoring, emissions and pollution analysis, source apportionment, and preparation of clean air action plans. This paper presents an integrated assessment of air quality in Kampala drawing from ground measurements (from a hybrid network of stations), satellite observations (from NASA’s MODIS and OMI), global reanalysis fields (from GEOS-chem and CAMS simulations), high resolution (~1km) multi-pollutant emissions inventory for the airshed, WRF-CAMx based PM2.5 pollution analysis, and a qualitative review of institutional and policy environment for air quality management in Kampala. The proposed clean air action plans aim for better air quality in the region using a combination of short-, medium-, and long-term emission control measures for all the dominate sources and institutionalize pollution tracking mechanisms (like emissions and pollution monitoring and reporting) for effective management of air pollution. This data archive serves as a supplemenary to the journal article and with a short description of the files below: <ul> <li>File: AQ-Kampala-Analysis-Summary.pptx (Caution: large 60MB)  A composite presentation including the following <ul> <li>Grid summaries</li> <li>Snapshots of airshed GIS files, emission activities</li> <li>Summary of meteorology from WRF simulations and historical synoptics</li> <li>Summaries of ambient monitoring data</li> <li>CAMS reanalysis summary</li> <li>Summaries of Emission inventory and WRF-CAMx modelling (annual and monthly)</li> <li>Summaries of PM2.5 Source apportionment (annual and monthly)</li> </ul> </li> <li>File: grids_kampala.rar Grid file (KML and ESRI shapefiles format) for the airshed spanning 0.0N to 0.6N and 32.3E to 32.9E with a spatial resolution of 0.01deg (~1km)</li> <li>File: gis_roads_from_opensteetmaps.rar ESRI shapefiles of primary roads and all roads, extracted from the openstreetmaps Raw data archive @ https://download.geofabrik.de/index.html</li> <li>File: gis-scanned2021image-quarries.kml KML file of quarries scanned using the imagery on Google Earth platform</li> <li>File: population_kampala_2000-2022.csv Gridded population data 2000 to 2022 Raw data archive is from LANDSCAN - https://landscan.ornl.gov</li> <li>File: Monitoring-Kampala_USEmbassy_2017-2024.xlsx Summary of monitoring data collected at the US Embassy in Kampala Raw data archive is @ https://www.airnow.gov/international/us-embassies-and-consulates/#Uganda$Kampala</li> <li>File: meteo_wrf_stats.xlsm Summary of output of WRF simulations for the Kampala region. Have to activiate macros to summarize the results by month and update the charts. The tool can be used to other cities also by changing the input data.</li> <li>File: meteo_precip-era5-reanalysis.csv Summary of monthly precipitation date (mm/day) from ERA5 reanalysis fields Raw data archive is @ https://psl.noaa.gov/data/atmoswrit/timeseries</li> <li>File: TROPOMI_EastAfrica_NO2_Maps.zip Images of monthly average TROPOMI NO2 extracts covering East Africa (Uganda and Ethiopia) Extracted from Google Earth Engine, using 10% cloud fraction</li> <li>File: TROPOMI_EastAfrica_CSVs.zip CSV files of gridded monthly average NO2, SO2, HCHO, and Ozone columnar densities Extracted from Google Earth Engine, using 10% cloud fraction Read the data descriptions and applicability of the data for analysis before using (for example, negative numbers in the SO2 file).  NO2 - https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_NO2  SO2 - https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_SO2 HCHO - https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_HCHO O3 - https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S5P_OFFL_L3_O3</li> <li>File: composite_emisson_factors_gains.xlsx A composite library of emission factors for reference</li> <li>File: kampala_gridded_emissions_2018.rar Gridded emissions inventory for Kampala - PM25, PM10, SO2, NO, NO2, and CO PM25 is speciated into FPRM, BC, and OC (sum all for PM25) PM10 is speciated into FPRM, CPRM, BC, OC (sum all for PM10) All emissions in tons/year/grid Emissions are seggragted into sectors and fuels - included in the filenames</li> <li>File: kampala_gridded_modelled_monthavgp25.csv Gridded PM2.5 concentrations for 2018, from WRF-CAMx modelling system Monthly averages in ug/m3</li> </ul>

Data and supplementary information from: Sequential bayesian phylogenetic inference

The ideal approach to Bayesian phylogenetic inference is to estimate all parameters of interest jointly in a single hierarchical model. However, this is often not feasible in practice due to the high computational cost. Instead, phylogenetic pipelines generally consist of sequential analyses, whereby a single point estimate from a given analysis is used as input for the next analysis (e.g., a single multiple sequence alignment is used to estimate a gene tree). In this framework, uncertainty is not propagated from step to step, which can lead to inaccurate or spuriously certain results. Here, we formally develop and test the sequential approach for Bayesian phylogenetic inference, which uses importance sampling to generate observations for the next step of an analysis pipeline from the posterior produced in the previous step. The sequential approach presented here not only accounts for uncertainty between analysis steps, but also allows for greater flexibility in software choice (and hence model availability) and can be more efficient computationally than the traditional joint approach when multiple models are being tested. We show that the sequential approach is identical in practice to the joint approach only if sufficient information in the data is present (a narrow posterior distribution) and/or sufficiently many importance samples are used. Conversely, we show that the common practice of using a single point estimate can be biased, e.g., a single phylogeny estimate to transform an unrooted phylogeny into time-calibrate phylogeny. We demonstrate the theory of sequential Bayesian inference using both a toy example and an empirical case study of insect divergence times estimation using a relaxed clock model from transcriptome data. In the empirical example, we estimate three posterior distributions of branch lengths from the same data (DNA character matrix with a GTR+Gamma+I substitution model, an amino acid data matrix with empirical substitution models, and an amino acid data matrix with the PhyloBayes CAT-GTR model). Finally, we apply three different-node calibration strategies and show that both, the data source and underlying substitution process to estimate branch lengths as well as the node-calibration strategies, impact divergence time estimates. Thus, our new sequential Bayesian phylogenetic inference provides the opportunity to efficiently test different approach for divergence time estimation, including branch lengths estimation from other software.

Dataset to reproduce the figures of article "Information dynamics of in silico EEG Brain Waves"

Data and code to reproduce results figures.

opencc-by-4.0Mar 2024View details →

VM2 Benchmark Supporting Information

Supporting Information for  Rapid, Accurate, Ranking of Protein-Ligand Binding Affinities with VM2, the 2nd–Generation Mining Minima Method Michael K. Gilson, Lawrence E. Stewart, Michael J. Potter, Simon P. Webb  (https://doi.org/10.26434/chemrxiv-2024-tr710)

opencc-by-4.0Nov 2021View details →

Figure 3 in Developing an advanced information system to support ballast water management

Figure 3. An overall view of all modules of the Ballast Water Information System.

Survey of library information science graduates' readiness to create an information system in the library (using open science as an example)

Survey "Readiness of library information science graduates to create an information system in the library (on the example of open science)" The research is aimed at identifying the degree of readiness of future specialists in the field of library and information science to work in new and relevant areas of library activities related to the development of information infrastructure of open science. The survey consists of 4 thematic blocks and contains 21 questions. The survey was attended by 54 students from 10 Russian universities, studying in the direction of training 51.03.06 "Library and Information Science". The results of this survey will serve as a basis for the development of professional development programmes on various aspects of the functioning of open science for specialists in the field of library and information activity. Опрос «Готовность выпускников направления библиотечная информационная наука к созданию системы информирования в библиотеке (на примере открытой науки)» Исследование направленно на выявление степени готовности будущих специалистов в области библиотечно-информационной деятельности к работе в новых и актуальных направлениях деятельности библиотек, связанных с развитием информационной инфраструктуры открытой науки. Опрос состоит из 4-х тематических блоков и содержит 21 вопрос. В опросе приняли участие 54 студента из 10 российских вузов, обучающихся по направлению подготовки 51.03.06 «Библиотечно-информационная деятельность». Результаты данного опроса послужат основой разработки программ повышения квалификации по различным аспектам функционирования открытой науки для специалистов в области библиотечно-информационной деятельности.

opencc-by-4.0Dec 2015View details →

Figure 1 in C. H. McLennan ('Mallee Bird') and his Aboriginal informant Jowley: The source of early records of the Night Parrot Pezoporus occidentalis in Victoria?

Figure 1. Portrait of Jowley published in 'Back to Hopetoun' (1935), original source unknown.

Influence of visual information on sniffing behavior in a routinely trichromatic primate

Most catarrhine primates are considered to be strongly visually oriented animals, obtaining information about conspecifics and their environment from a diversity of visual cues. Other sensory modalities may provide information that is redundant and/or complimentary to visual cues. When cues from multiple sensory modalities are available, these may reinforce or suppress each other, as shown in a range of taxa from insects to humans. In the present study, we tested how the presence and ambiguity of visual information affects the use of olfactory cues when exploring food and non-food items in semi-free ranging Barbary macaques at Affenberg Salem, Germany. In experiment 1, we presented monkeys with pipes containing food (peanuts, popcorn), non-food (stones, feces) or no items. The ends of the pipes were either transparent or opaque, and we assessed whether animals looked, sniffed and/or grabbed into the pipes depending on visibility of the contents. In experiment 2, we manipulated the visual appearance of familiar food items (popcorn) with food colorant and scored if monkeys sniffed at and/or ate the popcorn depending on whether it was uncolored or dyed. In both experiments, the available visual information modulated sniffing behavior. Both visual as well as olfactory information further affected, whether or not monkeys attempted to retrieve the items from the pipes in experiment 1, while data were insufficient to assess this in experiment 2. Hence, reliance on the olfactory sense was modulated by the available visual information, emphasizing the interplay between different sensory modalities for obtaining information about the environment.

A Multi-Pollutant Emissions Inventory for Air Pollution Modeling and Supporting Information for Addis Ababa

This paper is under review. For additional information or queries, send email to sguttikunda@urbanemissions.info **** ABSTRACT: Ground measurements and satellite observations over Addis Ababa airshed show a deteriorating trend of air pollution, especially for PM2.5 (all particulate matter under 2.5um). In this paper, we present a review of available monitoring data; a model-ready multi-pollutant (PM10, PM2.5, SO2, NOx, CO, non-methane VOCs, and CO2) emissions inventory at 0.01º resolution for the designated airshed; a heatmap of PM2.5 concentrations and an estimate of source contributions constructed using WRF-CAMx chemical transport modelling system; and a discussion on proposed actions towards establishing an air quality management plan for the city. Emissions from road transport; residential and commercial cooking; resuspended dust on roads and from construction activities; residential and industrial heating; lighting; open waste burning; and other industrial activities contributed the most to ambient PM2.5 pollution. Particularly, vehicle exhaust is estimated to contribute up to 29% of total PM2.5, followed by biomass combustion in the residential and industrial sectors. File included in this dataset: <ol> <li>Composite presentation of supporting information and analysis results File: Report-Addis-Data-Summary.pptx This presentation includes summary images of <ul> <li>monitoring data</li> <li>the GIS fields</li> <li>google earth scans </li> <li>annual and monthly emissions</li> <li>annual and monthly PM2.5 concentrations</li> <li>annual and monthly source apportionment</li> </ul> </li> <li>Ambient monitoring data File: AddisAbaba_AllEmbassy_Data.xlsx (summary of data till May2024) File: monitoring_addisair_cleaned.xlsx (summary of sensor data)</li> <li>Gridded emissions inventory File: addis_gridded_emissions.rar Format: ix,iy,midlong,midlat,FPRM,CPRM,BC,OC,NO,NO2,CO,SO2 Units: tons/grid/year PM2.5 emissions = FPRM + BC + OC PM10 emissions = FRPM + BC + OC + CPRM midlong and midlat are midpoints of grids - see gis_addis_grids.rar</li> <li>TROPOMI UVAI and MODIS AOD Data files extracted from google earth engine as TIF and CSV, for the designated airshed File: ADDISABABA_yearly_tifs.zip</li> <li>Meteorlogical data summary for the airshed, extracted from the WRF sumulations File: meteo_addis.houravg_summary.csv</li> <li>Reference reports File: Report-C40-2016-Addis-Ababa-GHG-Emssions.pdf File: Report-CSE-Ethiopia-Urban-AQM-Guidance.pdf File: Report-WB-Ethiopia-motorization-management.pdf File: Report-UNEP-Addis-AQM-Plan-Draft.pdf</li> <li>GIS files File: gis_addis_grids.rar (shapefile and KML file for the airshed grid) File: gis_addis_osm_roads.rar (shapefiles extracted from openstreetmaps) File: pop_extracts_4selection_domain.xlsm (gridded population data, with macros can be used to extract population totals around a monitoring station) File: gis_addis_multiple_layers.rar (as KML files - districts, townships, main_roads, water_bodies, quarries, landfill, industrial_areas)</li> </ol>

opencc-zeroJul 2023View details →

PiezoTensorNet: Crystallography informed multi-scale hierarchical machine learning model for rapid piezoelectric performance finetuning

<h2>Description:</h2> a. Feature Engineering:     The file data_of_145_features.csv consists of the datasets of the features. The datasets correspond to Fig. 1(a) of the paper. b. HierCrystalNet  of PiezoTensorNet:       The saved models after training HierCrystalNet are placed inside the zip folders, namely, (i) classification_saved_models.zip, (ii) PG1_cubic_saved_models.zip, (iii)        PG2_tetragonal42m_saved_models.zip, (iv) PG3_orthorhombic222_saved_models.zip, (v) PG4_hex6tetra4mm_saved_models.zip, and (vi) PG5_orthorhombicmm2_saved_models.zip. c. ModularEnsembleNet of PiezoTensorNet :      The prediction_results.zip folder consists the prediction results of the ModularEnsembleNet.  d. Input data of piezoelectric tensors and stiffness tensors for the finite element analysis:  (i)     piezoelectric_tensors_AlN_B0.3Er0.5Al0.2N_alloy.zip:  The coefficients of piezoelectric tensors (array shape: 3x6) for AlN  alloy and B0.3Er0.5Al0.2N alloy are respectively presented in  undoped_AlN_piezoelectric_tensor.csv and B0.3Er0.5Al0.2N_alloy_unrotated_piezoelectric_tensor.csv files. Both of these files contain the data for samples whose laboratory coordinate system is same with that of the orientation of crystal lattice (all of the three Euler angles theta, psi and phi  = 0 degree ), and so the compositional effect on the piezoelectric behavior can be assessed solely without considering the orientation effect.  Rotation or other transformation can cause the  vector value of  (theta, phi, phis) other than (0,0,0) which  indicates that the laboratory coordinate system of a sample being different than its  lattice orientation. The effect of two different magnitudes of rotation on the coefficients of piezoelectric tensors for B0.3Er0.5Al0.2N alloy are revealed through the files B0.3Er0.5Al0.2N_alloy_rotated_at_orientation_1_piezoelectric_tensor.csv and  B0.3Er0.5Al0.2N_alloy_rotated_at_orientation_2_piezoelectric_tensor.csv. Orientation 1 refers to theta = 0 degree, psi = 268.47 degree, 91.52 degree, 0 <= phi <= 360 degree whereas  theta = 180 degree, psi = 268.47 degree, 91.52 degree, 0 <= phi <= 360 for orientation 2.  The units of the coefficients are C/m^2. The description of the methodology on how to generate this data in this format is provided at https://piezoelectrictensorsdatabase.streamlit.app/ . (ii) stiffness_tensors_AlN_B0.3Er0.5Al0.2N_alloy.csv: The stiffness tensors (array shape: 6x6) for the two materials AlN  alloy and B0.3Er0.5Al0.2N alloy at room temperature are presented through the four csv files.  The elements of stiffness tensors in the datasets are presented in GPa. The Cijkl tensors are provided first for isotropy and then for orthotropy assumptions. The description of these tensors for AlN and  B0.3Er0.5Al0.2N materials are provided in the web apps:  https://isotropic-elasticity.streamlit.app/ and  https://orthotropic-elasticity.streamlit.app/

An Evaluation of the Nigerian National Information Infrastructure and E-Governance

Nigeria has the fastest growing and most lucrative ICT market in Africa (which fellow emerging economies like South Africa, India, Malaysia and Singapore are making the most of); yet in spite of this significant progress is still being ranked low in e-government provision to its citizens. The need for national information infrastructure cum e-governance framework as a national imperative for a 21st Century Nigeria cannot be overemphasized. National information infrastructure and e-governance policy engineering is important in achieving Vision 2020 and the mission of re-branding and transforming Nigeria. Unless the significance of e-governance is recognized and made the engine room of nation-building, economic and social developments aims in our country may become unattainable. Soonest, intellectual capital, not mineral resources like oil, would be the most strategic and valuable global resource. This paper therefore evaluates and recognizes with great concern that the current national information infrastructure and e-governance readiness framework in Nigeria is grossly inadequate-especially in the areas of National Power Generation and Supply (as the government fixes June 1st as the take-off of new electricity tariff). It highlights the bureaucracies and politics that hamper speedy development of our national information infrastructure and e-governance in comparison to what is obtainable in other evolving economies. The study investigates the limitations and deficiencies of our national information infrastructure and e-governance. The study examines areas of paucities which have contributed to the low e-service delivery in the country despite the success recorded in the country’s ICT and telecommunications sector and finally suggests how this situation may be improved for an enviable national information infrastructure and e-governance as a national imperative for 21st century Nigeria of our dream.

opencc-by-4.0Feb 2024View details →

Supplementary Information for "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase" - Computational Data

This is part of the external Supplementary Information covering the molecular dynamics simulations section for our publication "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase" by Felix Kaspar et al., freely available as a preprint from ChemRxiv ( ). The .zip file contains raw data, processed data and metadata for the computational results. This includes files for the MD simulations and the preparations of the structures.   Raw data regarding the experimental results are stored in a separate zenodo entry (<a href="../doi/10.5281/zenodo.10559443">https://zenodo.org/doi/10.5281/zenodo.10559443</a>) by Felix Kaspar. This includes UV, flourescence, NMR data, as well as data results of crystallization screens and reports on MPLC runs.