cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28405967.v1
title: Assessing Japanese eel populations in a river system using eDNA: seasonal variation and modest effectiveness of stocking where natural recruitment is restricted

description: Japanese eel, Anguilla japonica, is a highly endangered species in the Western Pacific region despite its high commercial value in fisheries. To enhance fisheries resources of this catadromous fish, eel stocking programs are conducted annually in many rivers across Japan. These programs involve capturing naturally recruited glass eels at river mouths, farming them in artificial ponds, and releasing them into rivers. However, the impact of these stocking efforts on eel populations remains unclear. Recently, environmental DNA (eDNA) has emerged as an effective tool for assessing the biomass of target species in aquatic environments. This study aims to evaluate the spatiotemporal changes in Japanese eel population over three years and the effect of stocking using species-specific eDNA marker in the Shigenobu River system in western Japan, where numerous sediment-control dams and weirs are present, and eel stocking is conducted both upstream and downstream of these barriers. Our results show that eDNA concentration was significantly correlated with both the density and biomass of captured eels, confirming the effectiveness of eDNA assays for eel stock assessment. eDNA concentrations, as well as captured density and biomass, were higher downstream than upstream. After stocking, eDNA concentrations increased and remained elevated at upstream stocking sites where natural recruitment was blocked by sediment-control dams. Seasonal variation in eDNA concentrations was most pronounced downstream, where natural recruitment occurs. These findings suggest that stocking enhances eel populations in areas where natural recruitment is restricted, but the effect is modest compared to natural recruitment. Therefore, ecosystem-based habitat management, including habitat restoration and connectivity, should be prioritized for eel conservation.<br>
DOI: 10.6084/m9.figshare.28603769.v1
title: <b>Dataset for Whistler Mode Wave-Driven Electron Scattering Properties from ELFIN Measurements of the Precipitation Ratio</b>

description: Dataset for Figures 2, 3, and 5 in the manuscript "Dataset for Whistler Mode Wave-Driven Electron Scattering Properties from ELFIN Measurements of the Precipitation Ratio". Figure 1 did not include data processing and Figure 4 was from theoretical calculations. Therefore, data for them are not produced.
DOI: 10.6084/m9.figshare.3546837.v1
title: Appendix E. Methods to model potential value of oil palm.

description: Methods to model potential value of oil palm.
DOI: 10.17632/8drrkh87sy
title: Research trends in Peruvian universities: proposal for a research agenda with a bibliometric approach

description: Search equation
DOI: 10.6084/m9.figshare.21699668.v2
title: kumar_etal_2022_dataset.tar

description: ## Dataset for Kumar, et al., 2022 This is the dataset corresponding to: Kumar, Sharma, and Leifer, "An inhibitory circuit for rapid contextual modulation of mechanosensory processing in C. elegans". <br> The code used to analyze this data and generate figures presented in this work is available on GitHub at https://github.com/leiferlab/analysis-code-kumar-2022.git <br> Datasets are arranged in folders with the corresponding figure name.
DOI: 10.6084/m9.figshare.4826737.v1
title: DMLS_Periscope.STL

description: Periscope for DMLS manufacture for OCT imaging of autopsy eyes.
DOI: 10.6084/m9.figshare.6072272.v6
title: Data and R code for "Challenges in assessing the roles of nepotism and reciprocity in cooperation networks"

description: See "_READ_ME.txt". Nepotism and reciprocity are not mutually exclusive explanations for cooperation, because helping decisions can depend on both kinship cues and past reciprocal help. The importance of these two factors can therefore be difficult to disentangle using observational data. We developed a resampling procedure for inferring the statistical power to detect observational evidence of nepotism and reciprocity. We first applied this procedure to simulated datasets resulting from perfect reciprocity, where the probability and duration of helping events from individual A to B equaled that from B to A. We then assessed how the probability of detecting correlational evidence of reciprocity was influenced by (1) the number of helping observations and (2) varying degrees of simultaneous nepotism. Last, we applied the same analysis to empirical data on food sharing in vampire bats and allogrooming in mandrills and Japanese macaques. We show that at smaller sample sizes, the effect of kinship was easier to detect and the relative role of kinship was overestimated compared to the effect of reciprocal help in both simulated and empirical data, even with data simulating perfect reciprocity and imperfect nepotism. We explain the causes and consequences of this difference in power for detecting the roles of kinship versus reciprocal help. To compare the relative importance of genetic and social relationships, we therefore suggest that researchers measure the relative reliability of both coefficients in the model by plotting these coefficients and their detection probability as a function of sampling effort. We provide R scripts to allow others to do this power analysis with their own datasets.
DOI: 10.6084/m9.figshare.7265648.v1
title: The HA89 fertile line complete mitochondrion sequence

description: The complete mitochondrion sequence of the HA89 fertile line of sunflower (<i>Helianthus annuus</i> L) in FASTA format.<br>
DOI: 10.6084/m9.figshare.14374052.v1
title: An Exploratory Investigation into an Integrated Vulnerability and Patch Management Framework (thesis) - Questionnaire to citations list (working paper)

description: In the rapidly changing world of cybersecurity, the constant increase of vulnerabilities continues to be a prevalent issue for many organisations. Malicious actors are aware that most organisations cannot timeously patch known vulnerabilities and are ill-prepared to protect against newly created vulnerabilities where a signature or an available patch has not yet been created. Consequently, information security personnel face ongoing challenges to mitigate these risks. In the thesis research, the problem of remediation in a world of increasing vulnerabilities is considered. The current paradigm of vulnerability and patch management is reviewed using a pragmatic approach to all associated variables of these services / practices and, as a result, what is working and what is not working in terms of remediation is understood. In addition to the analysis, a working paper (in particular the questionnaire to citations list) was created through the literature review to document key themes and associated variables / questions, which are linked to the literature / citations. This working paper ultimately allowed for the creation of the thesis survey and the formulation of the research taxonomy to provide a graphical representation of all associated variables to vulnerability and patch management.
DOI: 10.6084/m9.figshare.18858008.v3
title: probiotic research

description: the data represented the measurements of ZOI <br>of the tested agents
DOI: 10.6084/m9.figshare.27282912.v1
title: Dataset.xlsx

description: Wheat diseases textbased dataset
DOI: 10.17632/dc8fyw7ww8
title: Cigarette Filter as a Carbon-Based Component of Galvanic Cell

description: Worldwide, more than six trillion cigarettes are produced annually, each containing filters or butts, most consisting of microplastics known as cellulose acetate fibers. Smokers indiscriminately dropped their cigarettes virtually everywhere. These cigarette filters do not naturally break down because their plastic fibers are synthetic. However, they can gradually decompose based on their environment. Only 38% decomposed after two years (Register, 2000). It is a problem that the country depends so heavily on rigid baseload fossil fuel plants. When these plants malfunction, millions of Filipinos are vulnerable to brownouts, which impact the entire Luzon grid (Cantillana, 2021). According to the Philippine Country Commercial Guide (2022), COVID-19 caused the energy sector to face numerous difficulties requiring revisions to ensure consumer energy services' continuity. The Malampaya natural gas resources, which presently provide 30% of Luzon's energy consumption, are predicted to run out by 2024, putting the Philippines amid a growing energy crisis. Realizing the danger it can bring, the researchers investigated these wastes on their potential use as an energy source. The researchers used a multiple-group posttest-only design and conducted three (3) treatments, each consisting of four (4) trials in which voltage output and time interval of cigarette filter were measured for each test. To determine the number of cigarette filters that produce the highest voltage and as shown by MANOVA, the researchers concluded that the null hypotheses for both amounts of voltage produced and the time interval are rejected with p-values that are lesser than 0.05, indicating significant differences between the treatments in terms of these variables. Therefore, this study aims to determine the potential use of cigarette filters as a carbon-based component of a galvanic cell for producing electricity and energy storage in hopes of addressing the environmental problem of waste disposal and the issue of energy scarcity in the Philippines.
DOI: 10.6084/m9.figshare.27013990.v1
title: Appendix 1 CoMeT and MLE sampling frames

description: Appendix 1 represents the sampling frame for the Corpus of Medical Textbooks (CoMeT) for the article <i>On the Replicability of Corpus-Derived Medical Word Lists</i> published in Applied Corpus Linguistics.
DOI: 10.17632/gspyzvvrhm
title: A Set of Non-Synthetic Test Systems of European LV Rural, LV Urban and Hybrid MV/LV Industrial Distribution Networks

description: In this article, the 3 sets of Real European test feeders: industrial which is integrated medium and low voltage, rural low voltage, and urban low voltage networks are proposed by using real data of GIS and smart meter readings obtained from a distribution company. The authors provide the real mathematical OpenDSS model of the three standards as master files with their corresponding real smart meter readings and topological data in database. Each of the three proposed networks has different network features. The industrial network is comprised of both medium and low voltage areas with 2888 nodes, 777 buses, and 556 lines. It addresses 165 low voltage and 26 medium voltage industrial customers using 22 distribution transformers. In the rural network, there are 18599 nodes, 4650 buses, and 4291 lines to supply 2731 end customers. While 26951 nodes, 6738 buses, and 5905 lines are found in the urban network that electrifies 35297 low voltage customers. For rural and urban networks 68 distribution transformers are used in each of the networks to address their customers with both single and three phase systems. The movement of decarbonization leads to comprise several advanced and smart devices at electricity society and enhancing the application demand response systems. Mainly, deployment of different flexible devices such as EV, heat pump, distribution generation in the distribution system takes the existing system to higher level of complication. Hence, that drives distribution grid system to enter to revolutionary transition which is digitalization of the system, to enable real time management of distribution system as it is undergoing through huge complexity. Such systems requires real mathematical model of distribution network therefore this three different test cases are developed. Majority of the existing test systems are synthetic and not representing the real system of the European network. In addition to being limited quantitative wise and for a specific problem solving, their is a lack of integrated real European testcase which incorporates both the low voltage and medium voltage networks. To fill the gap authors develop the test feeders that address industrial, rural and urban areas which is significantly important for researchers. Here, the corresponding OpenDSS model and demand profiles extracted from smart meters of each standards archived in their 'Master' and 'PQ_csv' folders, respectively. In addition, their topological data is provided in their associated databases. The detail description about the data set and all the development are contained in a paper with the same title of the dataset that it is under review and will be linked to this dataset.
DOI: 10.17632/sbj46m5jk8
title: Data for: Longitudinal and quantitative assessment platform for concurrent analysis of anti-tumor efficacy and cardiotoxicity of nano-formulated medication in vivo

description: Animations: Raw data of pseudodynamic 3D imaging: The reconstructed 3D animations of zebrafish heart upon PBS (Control), free doxorubicin (Free-DOX), Tf-ReSi-Au NPs bare nanocomposite (ReSi) or doxorubicin-loaded Tf-DOX-ReSi-Au NPs nanoparticles (ReSi-DOX) treatments in retro-orbital at 0, 1 and 2 day post injection (D0, D1, D2).
DOI: 10.6084/m9.figshare.12191022.v1
title: 7.Phenotype_table.docx

description: Phenotype_table
DOI: 10.6084/m9.figshare.15052344.v1
title: Data from "Climate change legacies contrastingly affect the resistance and resilience of soil microbial communities and multifunctionality to extreme drought"

description: R code and Data from ""Dacal, M; García-Palacios, P.; Asensio, S; Wang, J.; Singh, B.K. & Maestre, F. T. Climate change legacies contrastingly affect the resistance and resilience of soil microbial communities and multifunctionality to extreme drought. <i>Functional Ecology . </i>DOI: https://doi.org/10.1111/1365-2435.14000"<br>There are four items: the first one (Climate_Change_Legacies_Rcode) contains the R code to perform the analyses, whereas the other three are databases. The file entitled Climate_Change_Legacies_bray_data is composed by several spreadsheets containing the Bray-Curtis distance data for bacteria (bact) and fungi (fungi) at the end (RS) and during the recovery (RL) from an extreme drought event, the environmental data (data_env) for bacteria and fungi and the metadata. These data were used to evaluate the effect of climate change legacies and a drought event on soil microbial communities. The second file (Climate_Change_Legacies_RS_RL_data) is a database. In the latter item there are three spreadsheets. The spreadsheet "RS_final" contains the resistance data of the different variables to extreme drought. The second spreadsheet "RL_final" contains the resilience data of the different variables to extreme drought. The spreadsheet "Metadata" contains the associated metadata, where a description of all the variables and units can be found. Finally, the dataset Climate_Change_Legacies_Multifunctionality_data also contains three spreadsheets with the data needed to address the effect of climate change legacies on the absolute response of multifunctionality at the end (M_RS spreadsheet) and during the recovery (M_RL spreadsheet) of an extreme drought disturbance. The spreadsheet "Metadata" contains the associated metadata, where a description of all the variables can be found. All the methodological details can be found in the main text of the article.<br>
DOI: 10.6084/m9.figshare.19375598.v2
title: BioImageIT: Demo datasets

description: Dataset of BioImageIT. This dataset includes LLSM, LiveSR and MaTIRF data. Acquisition parameters and sample preparation are described in: S. Prigent, C-A. Valades-Cruz, L. Leconte, J. Salamero, C. Kervrann. BioImageIT: An open-source framework for integration of image data management with analysis. bioRxiv 2021.12.09.471919
DOI: 10.6084/m9.figshare.24485389.v1
title: A dataset of monthly SPI and SPEI derived from ERA5 over 1959-2022

description: This dataset provides meteorological drought indices of monthly SPI and SPEI based on the ERA5 dataset from 1959 to 2022.
DOI: 10.6084/m9.figshare.29148200.v1
title: Images of scour at gabion weirs

description: Supplementary material to the paper “Effect of upstream sediment supply on scour at gabion weirs".
DOI: 10.17632/2tg7ffdr56
title: Dataset of the relationship between authentic virtual reality experiences and tourists’ visiting intentions of a tourism destination

description: Dataset of the relationship between authentic virtual reality experiences and tourists’ visiting intentions of a tourism destination
DOI: 10.34740/kaggle/dsv/12022682
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/2wcw3sxxr3
title: A Dataset for Sentiment Polarity Detection of Bengali Book Reviews

description: This dataset contains 1443 Bangla book reviews. Among them 471 reviews are annotated as negative sentiment and 972 reviews are labelled as positive sentiment. All the reviews are collected from different online book shops and social media groups. The reviews are manually annotated by two native Bengali speakers. Though, the dataset is relatively small but it can be used for learning as well as research purpose.
DOI: 10.17632/3m9ph7j578
title: A meta-analysis to optimize pathogen reduction during anaerobic digestion

description: Table A1. Complete database used for the study
DOI: 10.6084/m9.figshare.13325723.v2
title: Pangenome profiles database for Anvio

description: This is the profiles database of our Anvi'o pangenome functional enrichment analysis. We checked for significantly enriched genes between different groupings of locations and hosts.
DOI: 10.6084/m9.figshare.21071031.v2
title: IABSE Task Group 3.1 Benchmark Results. Numerical Full Bridge Stability and Buffeting Simulations

description: Aerodynamic stability and buffeting response due to turbulent wind have a fundamental importance for long-span bridge design. However, there are no benchmark cases that can be used as a reference estimate for an independent validation of the numerical methods and theoretical approximations. Therefore, the IABSE Task Group 3.1 proposal is to fill this gap by defining a reasonably well predicted set case for the response to wind of long-span bridges, both in terms of aerodynamic stability and buffeting. Specifically, a statistical analysis was performed on the numerical results collected by the task group participants, who used their own methodology and tools (either in time domain and/or frequency domain) to predict the bridge stability to flutter and buffeting response to wind, sharing the same input data (wind conditions, bridge structural properties, and deck aerodynamic coefficients). The benchmark results presented in this paper can be used as a point of reference for other numerical codes, and they include the onset of flutter speed, damping ratio variation with mean wind speed and the root mean square of the displacements as a function of mean wind speed, power spectral density values, and time histories of displacements.
DOI: 10.6084/m9.figshare.23293184.v1
title: Cross Sectional Study Data Table.sav

description: Contains data of demographic, loneliness and volunteer motivation measure
DOI: 10.17608/k6.auckland.25744047.v1
title: HVN PANaMAH TOFI_Asia study Metadata Record - Characterising the Pre-diabetic Asian and Caucasian Phenotype: The 'TOFI' Profile

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.<b>Description:</b> Background: People of Asian descent are at much greater risk of poor metabolic health and diabetes at a younger age and a lower body weight than those of European Caucasian descent. The reason why some individuals are more susceptible than others and what controls their diabetes risk may lie in the storage of body fat, and may be identified through early changes in serum metabolite profile. Gaining even small amounts of body weight can lead to the fat ‘spilling over’ from adipose tissue and into important organs such as the muscle, liver and pancreas, which in turn may significantly increase risk of disease. Often known as the TOFI profile – ‘Thin on the Outside, Fat on the Inside’ – people who appear ostensibly slim and/or mildly overweight can develop diabetes whilst those who are very overweight and/or obese may not. Few predictive biomarkers of early diabetes risk and propensity to susceptibility or resilience have yet been determined.Objective: To investigate diabetic risk profile, susceptibility and resilience to weight gain and increasing adiposity in a population of Asian Chinese and Caucasian adults; using body composition and metabolomic techniques.Design: This is a cross-sectional study, 400 participants, aged 18-70 years, of Asian Chinese (n=200) or Caucasian European (n=200) ethnicity. A fasting blood sample will be collected to assess diabetic profile based on fasting plasma glucose, and also for untargeted metabolomics profiling; whole body and segmental fat free mass and adipose tissue fat mass will be measured on a single occasion using DEXA scanning; and in a subset of 100 individuals ectopic lipid storage in key organs including liver, pancreas and muscle will be measured using MRI/S.Findings: This is a program conducted within the National Science Challenge High Value Nutrition (HVN) program which aims to determine novel prediabetic biomarkers which, in future studies may be shown to be responsive to nutrition intervention.
DOI: 10.6084/m9.figshare.28558412.v1
title: Updated supplementary data for Porcine cGAS-STING signaling induced apoptosis negatively regulates STING downstream IFN response and autophagy via different mechanisms

description: The innate immune cGAS-STING signaling pathway recognizes double-stranded DNA and induces the interferon (IFN) response, autophagy and apoptosis, exerting a broad antiviral effect. However, the mechanisms and interrelationship between STING induced downstream IFN, autophagy, and apoptosis in livestock have not been fully elucidated. Our previous study defined porcine STING (pSTING) induced IFN, autophagy and apoptosis, and showed that IFN does not affect autophagy and apoptosis, whereas autophagy inhibits both IFN and apoptosis, likely by promoting pSTING degradation. In this study, we further explored the underlying mechanism of pSTING induced apoptosis and the regulation of IFN and autophagy by apoptosis. First, pSTING induces endoplasmic reticulum (ER) stress and mitochondrial damage to activate caspases 9, 3, and 7, which drive intrinsic apoptosis. Second, pSTING triggered apoptosis inhibits the IFN response by activating caspase 7, which cleaves pIRF3 at the species specific D197/D198 site. Third, pSTING activated apoptotic caspases 9, 3, and 7 reduce the expression of ATG proteins, and cleave the ATG5-ATG12L1 complex, effectively inhibiting autophagy. Fourth, knockout of pSTING activated apoptosis heightens the IFN response and autophagy, while suppressing the replication of Herpes Simplex Virus type 1 (HSV-1), Vesicular Stomatitis Virus (VSV) and Pseudorabies Virus (PRV). This study sheds light on the molecular mechanisms of innate immunity in pigs.
DOI: 10.6084/m9.figshare.29093648.v3
title: Toy dataset and R code for GbNEA

description: This repository contains the toy dataset and R code that was used in analyses in paper titled "Gene behaviors-based network enrichment analysis and its application to reveal immune disease pathways enriched with COVID-19 severity specific gene networks".<br>