cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sss2jf7t9g
title: Variability and associated uncertainty in image analysis for soiling characterization in solar energy systems

description: The accumulation of soiling on photovoltaic modules and on the mirrors of concentrating solar power systems causes non-negligible energy losses with economic consequences. These challenges can be mitigated, or even prevented, through appropriate actions if the magnitude of soiling is known. Particle counting analysis is a common procedure to characterize soiling, as it can be easily performed on micrographs of glass coupons or solar devices that have been exposed to the environment. Particle counting does not, however, yield invariant results across institutions. The particle size distribution analysis is affected by the operator of the image analysis software and the methodology utilized. The results of a round-robin study (herein called RR2) are presented in this work to explore and elucidate the uncertainty related to particle counting and its effect on the characterization of the soiling of glass surfaces used in solar energy conversion systems. An international group of soiling experts analysed the same 8 micrographs using the same open-source ImageJ software package. The variation in the particle analyses results were investigated to identify specimen characteristics with the lowest coefficient of variation (CV) and the least uncertainty among the various operators. The mean particle diameter showed the lowest CV among the investigated characteristics, whereas the number of particles exhibited the largest CV. Additional parameters, such as the fractional area coverage by particles and parameters related to the distribution’s shape yielded intermediate CV values. The cleanliness level (L) has also been considered, based on a prior publication in which the IEST-STD-CC 1246E standard was used to describe the cumulative distribution versus the equivalent particle diameter of the deposited particles or contaminants. One prior study that serves as a background for this work is Smestad, G.P., Germer, T.A., Alrashidi, H. et al. Modelling photovoltaic soiling losses through optical characterization. Sci Rep 10, 58 (2020); https://doi.org/10.1038/s41598-019-56868-z. Together, these results can provide insights on the magnitude inter-lab variability and uncertainty for optical and microscope-based soiling monitoring and characterization.

This data was utilized for the publication of the same title published in Solar Energy Materials and Solar Cells (https://doi.org/10.1016/j.solmat.2023.112437). Herein are the micrographs (Micrographs folder), the methods used (ImageJ Methods folder) and some of the results (see the Tables folder).
DOI: 10.17632/wt4tpggn3g
title: LINF_350045100

description: cAMP-dependent protein kinase catalytic subunit 2 | PKAC2a
Leishmania infantum (strain JPCM5)
DOI: 10.17632/z5vvwvjhzx
title: Mitochondrial genome assembly and comparative mitogenomics of five snake mackerels (Perciformes, Gempylidae).

description: The Gempylidae family, also known as snake mackerels, is a large and diverse suborder of fishes in the Perciformes. There are 24 species in the family, which are divided into 16 genera. A number of these species are economically important. Despite substantial research on this family using morphology-based and genetic methods, taxonomic categorization in this group remains a mystery. In this study, we demonstrate the utility of mitogenomes in resolving complicated taxonomic relationships in the gempylids. Using the next-generation sequencing (NGS) platform Ion-Torrent, we characterized the entire mitogenomes of Neoepinnula minetomai (Nakayama, Kimura, and Endo, 2014), Neoepinnula orientalis (Gilchrist & von Bonde, 1924), Rexea antefurcata (Parin, 1989), Rexea prometheoides (Bleeker, 1856), and Thyrsites atun (Euphrasen, 1791). Then, we conducted comparative analyses examining codon usage, nucleotide composition, gene content, and gene-order arrangement. We also looked for signs of selection in the mitogenomes. Finally, we constructed a phylogenetic trees using Bayesian Inference and Maximum-Likelihood methods and estimated time since divergence of the Gempylidae family using 13 protein-coding genes. The input data (and output) for molecular divergence dating, maximum-likelihood tree inference, and Bayesian inference, as well as input data for selection analyses, are all included in this publication.
DOI: 10.17632/v7vn3bfwgt
title: LINF_130016800

description: Dynein light chain; Leishmania infantum (strain JPCM5)
DOI: 10.17632/pzfbj64dvg
title: Analytical solution of the fractional neutron point kinetic equations using the Mittag-Leffler function

description: A new analytical solution of the fractional point kinetic equations is developed in the present work, which considers one group of delayed neutrons as well as a constant reactivity. One of the main novelties and theoretical contributions of the developed solution is that it does not require approximating the Inverse Laplace transform by numerical means, as other solutions do, and instead it is obtained analytically using the Green and the Mittag-Leffler functions. A set of algorithms and MATLAB codes are developed with the purpose to implement and compute the developed solution in an adequate way, which represents the major computational contribution. Numerical experiments show that the developed solution is very accurate solving short-time dynamics phenomena, being able to reproduce, in a precise way, data that is reported in literature. The development of the proposed analytic solution represents an important contribution to validate numerical methods that are currently used to solve the neutron fractional point kinetic equations.
DOI: 10.17632/3wd8kcs5mg
title: LINF_280009600

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/v6p6dgxswg
title: LINF_100007000

description: MORN repeat family protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hhxwjkmmgk
title: Patterns, Transport, and Anisotropy of Salt Fingers in Shear: Data from Numerical Simulations

description: The numerical work presented here contains a number of simulations pertinent to the evolution of salt fingers in the ocean. These systems exist in the ther- mocline, which has temperature and salinity both decreasing with depth. This repository is intended as a supplement to “Patterns, Transport, and Anisotropy of Salt Figners in Shear,” by Brown and Radko, which has been submitted to the Journal of Physical Oceanography.
DOI: 10.17632/kk8g34ssyt
title: LINF_360021200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/tb6xfd7bh2
title: Data from: Mate copying requires the coincidence detector Rutabaga in the mushroom bodies of Drosophila melanogaster

description: Data used in the manuscript "Mate copying requires the coincidence detector Rutabaga in the mushroom bodies of Drosophila melanogaster"
DOI: 10.17632/3rp2xh8prj
title: LINF_280019200

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/d8j63tw4js
title: COVID-19: Moderating role of perceived efficacy of prevention measures in the mental health prediction

description: SPSS data (cross-sectional) of a research about the moderating role of the perceived efficacy of COVID-19 preventive measures on the link between perceived risk and mental health (stress and depression) are provided. Perceived efficacy acted as a protective factor for stress and depression by decreasing the negative impact that perceived risk has on both variables related to mental distress, i.e. stress and depression.
DOI: 10.17632/j6bzhh3yrx
title: LINF_270026100

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/j8pngsv55w
title: LINF_260007400

description: Eukaryotic translation initiation factor 4E type 6 | eIF4E-6; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nd5kftbhyj
title: Spectral Rolloff Images for Multi-class Human Action Analysis : A Benchmark Dataset

description: This dataset contains a comprehensive collection of spectral rolloff values representing a variety of human actions. Spectral rolloff is a critical feature in digital signal processing that signifies the frequency below which a specified percentage of the total spectral energy resides. The values encapsulated in this dataset correspond to diverse human actions such as walking, running, jumping, and dancing.

The spectral rolloff values are derived by analyzing the power spectrum of the audio signals associated with each action. These values provide a measure of the frequency content of the audio signal, offering insights into the nature of the corresponding action. Each spectral rolloff representation corresponds to a segment of the audio signal.

The dataset has been purposefully curated for tasks including human action recognition, classification, segmentation, and detection. It provides an essential tool for the training and evaluation of machine learning models focused on interpreting human actions based on audio signals. Researchers and practitioners in the fields of signal processing, computer vision, and machine learning can find the dataset particularly beneficial, especially those interested in crafting algorithms for human action analysis leveraging audio signals.

Importantly, the dataset includes annotations with labels that indicate the type of human action represented by each spectral rolloff. This labeled information promotes a supervised learning environment, vital for the development and assessment of predictive models.
DOI: 10.17632/mf5jmt3xc9
title: Datasets for the rare metal contents in South China submitted to JGR by YU

description: The dataset includes three data tables (Table S1 to S3). Table S1 contains major and trace element compositions of the basement rocks in different areas of the South China Block (SCB), Table S2 contains the average compositions of the basement rocks in different areas, and Table S3 is the amount of iron species in the Lengjiaxi and Shuangqiaoshan successions in the eastern Jiangnan Orogenic Belt of the SCB.
DOI: 10.17632/xkzkh5tsc3
title: LINF_360063000

description: kinetoplastid kinetochore protein 2 | KKT2
Leishmania infantum (strain JPCM5)
DOI: 10.17632/6m3hwyt5sc
title: LINF_290033300

description: CTR9 subunit of PAF complex; Leishmania infantum (strain JPCM5)
DOI: 10.17632/s4yjykzypt
title: LINF_300027400

description: Zinc finger (C3H1-type) domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/wktkgz7ykj
title: LINF_210026800

description: Proteasome subunit alpha type; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rd33b6my2f
title: LINF_270020800

description: AAA domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/m3kf6s65m5
title: LINF_110010900

description: amino acid transporter | AAT15; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kk6jsjcvsx
title: A Spatially Explicit Game-Theoretic Model of Optimal Defense Strategies in Herbaceous Plants with Herbivore Movement

description: Insect behavior has been demonstrated to be influenced by the presence of certain chemicals in herbaceous plants. In particular, host plant choice by insect herbivores has been shown to depend on the the presence and odor of chemical in the plant. Thus, if the chemical plume reaches far enough, allocation to defense may also be influenced by defense strategies employed by other plants in the environment. We incorporate a neighborhood defense effect by applying spatial evolutionary game theory to optimal resource allocation in plants where cooperators are plants investing in defense and defectors are plants that do not. We use a stochastic dynamic programming model, along with ideas from game theory, to examine how defense strategies in individual plants influence population outcomes in herbaceous plants. We incorporate an individual-based model for the herbivore population and allow the herbivores to move between plants. In this case, defense is only a neighborhood benefit, and this approach yields the possibility of a population evolving to consist of only cooperators or only defectors (pure stable strategy), as well as the possibility of a mixed stable strategy. We show that our model offers a theoretical explanation for the neighborhood effect seen in empirical evidence.

This research was done as part of MC's thesis. Data was obtained entirely through simulation and modeling. All code was written by MC, and all analysis, data visualization, and simulation was completed by MC. See the `steps to reproduce' for usage instructions.
DOI: 10.17632/bydyr4bv3j
title: Microglial polarization and necroptosis in the spinal cord

description: Paclitaxel (PTX) is a widely used chemotherapeutic agent for the treatment of several types of tumors. However, PTX-induced peripheral neuropathy (PIPN) is a common adverse effect of long-term PTX use that significantly impairs quality of life. Necroptosis has been implicated in various neurodegenerative disorders, with necroptosis of dorsal root ganglion (DRG) neurons specifically being reported to contribute to the pathogenesis of PIPN. Therefore, the present study aims to investigate the effect of spinal neuronal necroptosis on PIPN, and to explore the potential role of microglia polarization on necroptosis. We established rat models of PIPN via quartic PTX administration on alternate days (accumulated dose: 8mg/kg). PTX caused evident neuronal necroptosis and upregulated the expression of receptor-interacting protein kinase (RIP3) and mixed lineage kinase domain-like protein (MLKL) in the spinal dorsal horn, and a necroptosis pathway inhibitor, necrostatin-1 (Nec-1), was able to inhibit these effects. The regulatory impact of microglial polarization on spinal necroptosis was elucidated by administering minocycline to specifically inhibit PTX-induced M1 polarization of spinal microglia caused by PTX. We observed a significant inhibitory effect of minocycline on PTX-induced necroptosis in spinal cord cells, as evidenced by the downregulation of RIP3 and MLKL expression, and suppression of TNF-α and IL-β production. Additionally, minocycline improved hyperalgesia symptoms in PIPN rats. Overall, this study provides evidence that PTX-induced polarization of spinal microglia contributes to RIP3/MLKL-regulated necroptosis, and is implicated in the development of PIPN. These findings suggest a potential novel therapeutic target for the prevention and treatment of neuropathic pain.
DOI: 10.17632/gn3xmd7td4
title: LINF_330008100

description: hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/t4jphkxzh5
title: LINF_190008400

description: Lipoyl synthase, mitochondrial; Leishmania infantum (strain JPCM5)
DOI: 10.17632/xwbv5sbvdb
title: LINF_110014800

description: Bromodomain factor 7 | BDF7; Leishmania infantum (strain JPCM5)
DOI: 10.17632/s3c55b49zk
title: LINF_110010800

description: protein kinase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/hkzth2dmms
title: Fortran95 code for simulations of amyloid peptide oligomer growth by coagulation

description: AGGsim.f95 is Fortran95 code to calculate the growth of oligomers by coagulation for specified values of the initial monomer concentration, the oligomer fusion rate scaling factor R0, the rate enhancement factor for small oligomers E0, and the threshold oligomer size for enhancement Nth.
AGGfit.f95 is Fortran95 code for optimization of R0 and E0 for a series of Nth values in order to fit experimental time-resolved light scattering data obtained at 1.5 mM Abeta40 peptide concentration. The experimental data are represented by a function of time that is described in comments in the code.
DOI: 10.17632/kpbmvxh88m
title: Dataset describing the amino acid catabolism of Thermoanaerobacter pseudethanolicus

description: The dataset depicts the catabolism of branched-chain amino acids Thermoanaerobacter pseudethanolicus in the presence of thiosulfate under different culture conditions
DOI: 10.17632/f7dygsh9kr
title: LINF_230017025

description: sucrose hydrolase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/v9fjvctnsf
title: LINF_300036800

description: S-adenosylmethionine decarboxylase proenzyme | ADOMETDC prozyme; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gmzgxtw7tb
title: LINF_020005300

description: aminopeptidase P1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/t97mkmswtd
title: Flood simulation and resilience evaluation in the urban area of Jinan City

description: The figures and tables of
DOI: 10.17632/fdvnc3wk89
title: LINF_360077000

description: TFIIIB Subunit Bdp1 | TBP1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/sztrdcmzdw
title: LINF_360079500

description: adaptin complex 1 subunit | beta adaptin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/dnw2v82r8y
title: Raw dataset and R scripts for: Unravelling spatial drivers of topsoil total carbon variability in tropical paddy soils of Sri Lanka

description: This data set represents the raw dataset, raster files associated with the environmental covariates used for modelling, and the R script that describes the flow of analyses used for the research article entitled: Unravelling the spatial drivers of topsoil total carbon concentration variability in paddy-growing soils in tropical agro-ecosystems of Sri Lanka. This study specifically aimed at identifying the spatial drivers and estimates of total carbon (TC) concentration in topsoil (0-15 cm) across the paddy-growing regions in tropical climates using Sri Lanka as a case study. Two distinct sampling strategies were used to collect soil samples for model calibration and validation purposes. For model calibration, a total of 888 sampling locations were sampled using a conditioned Latin Hypercube sampling approach. Additionally, 99 sampling sites were selected using a design-based stratified random strategy for independent evaluation of the developed models. Total carbon concentration (%) was analysed using an automated dry combustion method via a 2400 Series II CHN Elemental Analyser. Geospatial modelling of TC concentration was carried out through two distinct random forest models using a variety of environmental covariates. The environmental covariates used for the current analyses includes; mean annual rainfall (Rainfal_N), annual average mean temperature (Temp_N), annual average minimum temperature (Temp_Min_N), annual average maximum temperature (Temp_Max_N), vapour pressure deficient (VPD_N), MODIS enhanced vegetation index (Modis_N), SAGA wetness index (SAGA_WI_N), slope angle (Slope_d_N) and elevation (DEM_N). All environmental covariates were resampled to a spatial resolution of 100 m prior to spatial analysis. Furthermore, we deployed a novel area of applicability (AOA) calculation to quantify and identify regions where the current prediction is less reliable. In addition to AOA analysis, the uncertainty of TC prediction (%) was calculated at a 90% prediction interval. The influence of increasing the number of calibration sites on model prediction quality and reliability was assessed by using a user-defined sequence of calibration sites (e.g. n=200, n=300, n=400, n=500, n=600, n=700, n=800, n=888). For more information on the study area, sampling design, analytical data generation, modelling, and interpretation of the data, please refer to the Research article mentioned above.
DOI: 10.17632/ngx5fr4xdf
title: LINF_360035800

description: Nucleoside diphosphate kinase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zss5hvxyh5
title: The spatiotemporal response of mammal communities to pulse-driven resource availability in the Kalahari data

description: The objective of this study was to detect pulse events at a forage patch scale and to identify the subsequent responses from various mammal functional groups of mammals in the arid Kalahari Desert of South Africa. The aim was to, therefore, understand how the Kalahari functions on a finer scale, particularly with increased rainfall variability in the drier years. We predicted the green-up (pulse event) to be synchronized over large areas with extreme rainfall, while we expected low synchronicity and very patch green-up in dry years. As ephemeral plants respond to rain showers within 2-3 weeks, we predicted the following responses from the animal functional groups would be detectable within ~8 weeks after the green-up:
1. There would be an increase in abundance of large antelopes.
2. There would not be an increase in abundance of small antelopes after the pulse event. 
3. There would not be an increase in abundance of carnivores after the pulse event. 
4. There would be an increase in the meso-carnivore abundance.
5. There would be an increase in rodent and lagomorph abundance. 
6. As our cameras are in the dunes, we predict that during a period of normal rainfall, there would be a decrease in observations as animals may move to more attractive areas.
We gathered the data from 42 cameras located in Tswalu Kalahari Reserve (n=18), Kgalagadi Transfrontier Park (n=12) and Khomani San Community Land (n=12). We used greenness index values obtained from the phenopix package in R, and subsequently used relative abundance index to compare functional group abundance 4 weeks before the pulse event and 8 weeks after the pulse event, to determine if there was a response. We used two survey seasons, October to May in 2018-2019 and 2019-2020. 

In this study we developed a novel way to detect pulse events in arid systems using bycatch from camera trap data. We found clear patterns of green-up and a clear difference in the green-up/resource availability between season 18-19 and 19-20. We also found some differences in the mammals RAI between season 18-19 and 19-20. We were able to link the pulse events to the short-term response of large antelopes, in Kgalagadi and the Khomani San. We did, however, not see any other responses to the green-up, which with the limitations of our data suggest that the responses are likely to be longer term or occurring at a larger spatial scale. This has allowed for a deeper understanding of animal responses in unpredictable arid environments. Climate change threatens systems such as the Kalahari with rising air temperatures and further precipitation unpredictability. Droughts are to increase in magnitude and frequency. With this increase in system variability, it is crucial that arid landscapes are managed effectively, both short-term and long-term. To be able to manage the system, it is of utmost importance to further our knowledge of the Kalahari system. This study has provided a starting point to do so.
DOI: 10.17632/pzrsycwtx9
title: LINF_360070800

description: ABC transporter
Leishmania infantum (strain JPCM5)
DOI: 10.17632/fgz6j9fcpg
title: Geochemical and mineralogical evolution of cerium during chemical weathering

description: This data contains in situ electron probe micro analyses (EPMA) and selective extraction.
DOI: 10.17632/ttsskwrkvd
title: LINF_340028100

description: Dynamin-type guanine nucleotide-binding (G) domain-containing protein; Leishmania infantum (strain JPCM5)