cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10018385
title: xenops_minutus_spades_01.fasta.gz

description: xenops_minutus_spades_01.fasta.gz
DOI: 10.6084/m9.figshare.24198342
title: Supplementary Material for: A Rare Case of Cardio-Embolic Spinal Stroke in a Young Female - Case Report

description: Spinal cord infarction (SCI) is a rare neurovascular disorder, often presented with acute spinal cord syndrome. The diagnosis is generally made clinically, with appropriate neuroimaging to confirm the diagnosis and exclude other causes. We present an unusual case of a 48-year-old woman with no relevant past medical history, admitted with acute paraparesis and spinal cord infarct on magnetic resonance imaging (MRI). A thorough investigation revealed asymptomatic unknown heart failure secondary to hypertrophic cardiomyopathy (HCM), suggestive of a cardioembolic etiology. The patient was treated with anti-coagulation and improved significantly with physical rehabilitation.
DOI: 10.6084/m9.figshare.24198342.v1
title: Supplementary Material for: A Rare Case of Cardio-Embolic Spinal Stroke in a Young Female - Case Report

description: Spinal cord infarction (SCI) is a rare neurovascular disorder, often presented with acute spinal cord syndrome. The diagnosis is generally made clinically, with appropriate neuroimaging to confirm the diagnosis and exclude other causes. We present an unusual case of a 48-year-old woman with no relevant past medical history, admitted with acute paraparesis and spinal cord infarct on magnetic resonance imaging (MRI). A thorough investigation revealed asymptomatic unknown heart failure secondary to hypertrophic cardiomyopathy (HCM), suggestive of a cardioembolic etiology. The patient was treated with anti-coagulation and improved significantly with physical rehabilitation.
DOI: 10.6084/m9.figshare.24125313.v1
title: Supplementary Material for: Radiomics Correlation to CD68+ Tumor-Associated Macrophages in Clear Cell Renal Cell Carcinoma

description: Introduction: Renal cell carcinoma (RCC) is the ninth most common cancers worldwide, with clear cell RCC (ccRCC) being the most frequent histological subtype. The tumor immune microenvironment (TIME) of ccRCC is an important factor to guide treatment, but current assessments are tissue-based, which can be time-consuming and resource-intensive. In this study, we used radiomics extracted from clinically performed computed tomography (CT) as a non-invasive surrogate for CD68 tumor-associated macrophages (TAMs), a significant component of ccRCC TIME. Methods: TAM population was measured by CD68+/PanCK+ ratio and tumor-TAM clustering was measured by normalized K function was calculated from multiplex immunofluorescence (mIF). A total of 1,076 regions on mIF slides from 78 patients were included. Radiomic features were extracted from multiphase CT of the ccRCC tumor. Statistical machine learning models, including Random Forest, AdaBoost, and ElasticNet, were used to predicted TAM population and tumor-TAM clustering. Results: The best models achieved an AUROC of 0.81 (95% CI: [0.69, 0.92]) for TAM population and 0.77 (95% CI: [0.66, 0.88]) for tumor-TAM clustering, respectively. Conclusion: Our study demonstrates the potential of using CT radiomics derived imaging markers as a surrogate for assessment of TAM in ccRCC for real time treatment response monitoring and patient selection for targeted therapies and immunotherapies.
DOI: 10.5281/zenodo.10018254
title: Epidemiological and clinical characteristics of a Hungarian subpopulation of acute ischemic stroke patients

description: A compilation of epidemiological and clinical data as well as factors influencing therapeutic decisions in a subpopulation of acute ischemic stroke patients, who were first evaluated and/or treated at County Hospital Fejér, Szent György Hospital, Székesfehérvár, Hungary, in the period between 1 July 2022 and 28 February 2023.
DOI: 10.5281/zenodo.10018253
title: Epidemiological and clinical characteristics of a Hungarian subpopulation of acute ischemic stroke patients

description: A compilation of epidemiological and clinical data as well as factors influencing therapeutic decisions in a subpopulation of acute ischemic stroke patients, who were first evaluated and/or treated at County Hospital Fejér, Szent György Hospital, Székesfehérvár, Hungary, in the period between 1 July 2022 and 28 February 2023.
DOI: 10.6084/m9.figshare.23553114
title: The OREGANO knowledge graph for computational drug repurposing

description: The files here are data files from the OREGANO project, which consists of building a holistic knowledge graph on drugs, including natural compounds. Here is the list of files:<br>- OREGANO_V2.tsv : The triplet file used for link prediction. 3 columns : Subjet ; Predicate ; Object- oreganov2.1_metadata_complet.ttl : The OREGANO knowledge graph in turtle format with the names and cross-references of the various integrated entities.<br>The following files contain the cross-references of OREGANO entities according to their type. They are all organised as follows: the external sources are the titles of the columns and each line begins with the identifier of the entity in OREGANO :- TARGET.tsv: Cross-reference table of the 22,096 targets.<br>- PHENOTYPES.tsv: Cross-reference table of the 11,605 phenotypes.<br>- DISEASES.tsv: Cross-reference table of the 18,333 diseases.<br>- PATHWAYS.tsv: Cross-reference table of the 2,129 pathways.<br>- GENES.tsv: Cross-reference table of the 35,794 genes.<br>- COMPOUND.tsv: Cross-reference table of the 90,868 compounds.<br>- INDICATIONS.tsv: Cross-reference table of the 2,714 indications.<br>- SIDE_EFFECT.tsv: Cross-reference table of the 6,060 side-effects.<br>- ACTIVITY.tsv: Names of the 78 activities.<br>- EFFECT.tsv: Names of the 171 effects.The OREGANO knowledge graph is composed of 11 types of nodes and 19 types of links. The current version of the graph contains 88,937 nodes and 824,231 links.A SPARQL endpoint has been provided to enable users to retrieve and explore the knowledge graph at OREGANO SPARQL endpoint .<br>The integration files and the knowledge graph are available on the GitHub of the OREGANO project in the Integration folder: Gitub repository .
DOI: 10.6084/m9.figshare.23553114.v2
title: The OREGANO knowledge graph for computational drug repurposing

description: The files here are data files from the OREGANO project, which consists of building a holistic knowledge graph on drugs, including natural compounds. Here is the list of files:<br>- OREGANO_V2.tsv : The triplet file used for link prediction. 3 columns : Subjet ; Predicate ; Object- oregano_info_complet.ttl : The OREGANO knowledge graph in turtle format with the names and cross-references of the various integrated entities.<br>The following files contain the cross-references of OREGANO entities according to their type. They are all organised as follows: the external sources are the titles of the columns and each line begins with the identifier of the entity in OREGANO :- TARGET.tsv: Cross-reference table of the 21,987 targets.<br>- PHENOTYPES.tsv: Cross-reference table of the 6,930 phenotypes.<br>- DISEASES.tsv: Cross-reference table of the 8,862 diseases.<br>- PATHWAYS.tsv: Cross-reference table of the 2,062 pathways.<br>- GENES.tsv: Cross-reference table of the 19,938 genes.<br>- COMPOUND.tsv: Cross-reference table of the 28,069 compounds.<br>- INDICATIONS.tsv: Cross-reference table of the 2,080 indications.<br>- SIDE_EFFECT.tsv: Cross-reference table of the 5,364 side-effects.<br>- ACTIVITY.tsv: Names of the 76 activities.<br>- EFFECT.tsv: Names of the 162 effects.A SPARQL endpoint has been provided to enable users to retrieve and explore the knowledge graph at OREGANO SPARQL endpoint .<br>The integration files and the knowledge graph are available on the GitHub of the OREGANO project in the Integration folder: Gitub repository .
DOI: 10.21227/gm12-jj13
title: Hybrid Overmodulation Strategy for Dual Two Level Inverters with Arbitrary DC Bus Voltage Distribution – Nonlinear gain compensation table

description: This is dataset for the 3D nonlinear gain compensation characteristic table that is an integral part of the paper "Hybrid Overmodulation Strategy for Dual Two Level Inverters with Arbitrary DC Bus Voltage Distribution" submitted to IEEE Transactions on Transportation Electrification. The paper presents a crucial nonlinear gain compensation characteristic essential for real-time control applications. To validate the effectiveness of our approach, we conducted experiments using a custom inverter equipped with Gallium Nitride (GaN) transistors. These experiments included the implementation of straightforward volt/hertz control for an induction motor using the provided gain compensation function. The purpose of the data is to make the compensation function publicly availabe, since it is not possible to derive the dependence as a closed‑form expression which could be included in the manuscript.
DOI: 10.5281/zenodo.10000486
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update


 


https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7286288
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7343584
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7344094
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update https://mmbdtp.github.io/
DOI: 10.5281/zenodo.10018468
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update


 


https://mmbdtp.github.io/
DOI: 10.5281/zenodo.10018484
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update


 


https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7277960
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7344035
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7245397
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. The long read dataset required an update


 


https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7245398
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. https://mmbdtp.github.io/
DOI: 10.5281/zenodo.7277957
title: Simulated reads for the MMBDTP novel genome

description: Simulated read data for use in the "Microbes, Microbiomes and Bioinformatics" doctoral training program. https://mmbdtp.github.io/
DOI: 10.5281/zenodo.10012283
title: Datasets for "The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades"

description: 环境变化不仅会改变光合作用系统的生物地球化学特征(直接影响),还会改变植被冠层的结构(间接影响),从而影响总初级生产力(GPP)。然而,全面量化环境变化对 GPP 的多途径影响目前具有挑战性。我们提出了一个结合嵌套机器学习模型和理论光合作用模型来分析全球 GPP 变化的框架。我们量化了 1982 年至 2020 年关键环境因素(大气 CO2 浓度、温度、太阳辐射、蒸气压赤字 (VPD) 和土壤湿度)变化对全球 GPP 的直接和间接影响。三个数据集(RF_LAI、RF_GPP 和RF_GPPlai)分别源自LAI随机森林模型、GPP随机森林模型和层次嵌套模型。
DOI: 10.5281/zenodo.8170440
title: Datasets for "The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past two decades"

description: The environmental changes can affect gross primary productivity (GPP) by altering not only the biogeochemical characteristics of the photosynthesis system (direct effects) but also the structure of the vegetation canopy (indirect effects). However, comprehensively quantifying the multi-pathway effects of environmental change on GPP is currently challenging. We proposed a framework to analyse the changes in global GPP by combining a nested machine-learning model and a theoretical photosynthesis model. We quantified direct and indirect effects of changes in key environmental factors (atmospheric CO<sub>2</sub> concentration, temperature, solar radiation, vapor pressure deficit (VPD), and soil moisture) on global GPP from 2003 to 2020. The three datasets(RF_LAI, RF_GPP, and RF_GPPlai) are derived from LAI random forest model, GPP random forest model and hierarchical nested model respectively.
DOI: 10.5281/zenodo.10016501
title: Datasets for "The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades"

description: The environmental changes can affect gross primary productivity (GPP) by altering not only the biogeochemical characteristics of the photosynthesis system (direct effects) but also the structure of the vegetation canopy (indirect effects). However, comprehensively quantifying the multi-pathway effects of environmental change on GPP is currently challenging. We proposed a framework to analyse the changes in global GPP by combining a nested machine-learning model and a theoretical photosynthesis model. We quantified direct and indirect effects of changes in key environmental factors (atmospheric CO2 concentration, temperature, solar radiation, vapor pressure deficit (VPD), and soil moisture) on global GPP from 1982 to 2020.  The three datasets(RF_LAI, RF_GPP, and RF_GPPlai) are derived from LAI random forest model, GPP random forest model and hierarchical nested model respectively.
DOI: 10.5281/zenodo.10018475
title: Datasets for "The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades"

description: The environmental changes can affect gross primary productivity (GPP) by altering not only the biogeochemical characteristics of the photosynthesis system (direct effects) but also the structure of the vegetation canopy (indirect effects). However, comprehensively quantifying the multi-pathway effects of environmental change on GPP is currently challenging. We proposed a framework to analyse the changes in global GPP by combining a nested machine-learning model and a theoretical photosynthesis model. We quantified direct and indirect effects of changes in key environmental factors (atmospheric CO2 concentration, temperature, solar radiation, vapor pressure deficit (VPD), and soil moisture) on global GPP from 1982 to 2020.  The three datasets(RF_LAI, RF_GPP, and RF_GPPlai) are derived from LAI random forest model, GPP random forest model and hierarchical nested model respectively.
DOI: 10.5281/zenodo.8170439
title: Datasets for "The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades"

description: The environmental changes can affect gross primary productivity (GPP) by altering not only the biogeochemical characteristics of the photosynthesis system (direct effects) but also the structure of the vegetation canopy (indirect effects). However, comprehensively quantifying the multi-pathway effects of environmental change on GPP is currently challenging. We proposed a framework to analyse the changes in global GPP by combining a nested machine-learning model and a theoretical photosynthesis model. We quantified direct and indirect effects of changes in key environmental factors (atmospheric CO2 concentration, temperature, solar radiation, vapor pressure deficit (VPD), and soil moisture) on global GPP from 1982 to 2020.  The three datasets(RF_LAI, RF_GPP, and RF_GPPlai) are derived from LAI random forest model, GPP random forest model and hierarchical nested model respectively.
DOI: 10.5281/zenodo.10018438
title: Full-scale MBR coupled with PAC for the removal of 232 OMPs: operating conditions, conventional pollutants, concentration of OMPs, UHPLC-QTOF-MS analysis

description: The spreadsheet contains data regarding the operation and performance of a full-scale MBR coupled with powdered activated carbon (PAC) added inside the reactor. This hybrid system is chosen to evaluate the removal of 232 organic micropollutants (OMPs) and the potential enhancement in the removal efficiencies with the addition of PAC at a concentration of 0.1 g/L and 0.2 g/L

First worksheet contains minimum, maximum, and average concentrations of conventional pollutants (COD, BOD, SST, SSV, DOC, UV254, nitrogen compounds, phosphorous, E. coli) in the influent and effluent of the WWTP. Methodologies adopted are also reported.
Second worksheet reports the operating conditions of the full-scale MBR as well as information about the tubular UF membranes installed. Characteristics of the PAC purchased to perform the experiments regarding the removal of OMPs are also described.
Third worksheet reports minimum, maximum and average concentration of 232 OMPs in the influent and effluent during:

The monitoring period considering only the MBR
The experimental periods where PAC is added and maintained at a concentration of 0.1g/L and 0.2g/L inside the MBR
Fourth worksheet contains metadata regarding the UHPLC–QTOF–MS analysis performed to evaluate the occurrence of OMPs in the influent and effluent of the WWTP. Sampling, storage and sample preparation is described, followed to LC-ESI-tandem MS analysis. LOD and LOQ are reported.
DOI: 10.5281/zenodo.7065015
title: Full-scale MBR coupled with PAC for the removal of 232 OMPs: operating conditions, conventional pollutants, concentration of OMPs, UHPLC-QTOF-MS analysis

description: The spreadsheet contains data regarding the operation and performance of a full-scale MBR coupled with powdered activated carbon (PAC) added inside the reactor. This hybrid system is chosen to evaluate the removal of 232 organic micropollutants (OMPs) and the potential enhancement in the removal efficiencies with the addition of PAC at a concentration of 0.1 g/L and 0.2 g/L

First worksheet contains minimum, maximum, and average concentrations of conventional pollutants (COD, BOD, SST, SSV, DOC, UV254, nitrogen compounds, phosphorous, E. coli) in the influent and effluent of the WWTP. Methodologies adopted are also reported.
Second worksheet reports the operating conditions of the full-scale MBR as well as information about the tubular UF membranes installed. Characteristics of the PAC purchased to perform the experiments regarding the removal of OMPs are also described.
Third worksheet reports minimum, maximum and average concentration of 232 OMPs in the influent and effluent during:

The monitoring period considering only the MBR
The experimental periods where PAC is added and maintained at a concentration of 0.1g/L and 0.2g/L inside the MBR
Fourth worksheet contains metadata regarding the UHPLC–QTOF–MS analysis performed to evaluate the occurrence of OMPs in the influent and effluent of the WWTP. Sampling, storage and sample preparation is described, followed to LC-ESI-tandem MS analysis. LOD and LOQ are reported.
DOI: 10.5281/zenodo.7065016
title: Full-scale MBR coupled with PAC for the removal of 232 OMPs: operating conditions, conventional pollutants, concentration of OMPs, UHPLC-QTOF-MS analysis

description: The spreadsheet contains data regarding the operation and performance of a full-scale MBR coupled with powdered activated carbon (PAC) added inside the reactor. This hybrid system is chosen to evaluate the removal of 232 organic micropollutants (OMPs) and the potential enhancement in the removal efficiencies with the addition of PAC at a concentration of 0.1 g/L. First worksheet contains minimum, maximum, and average concentrations of conventional pollutants (COD, BOD, SST, SSV, DOC, UV254, nitrogen compounds, phosphorous, <em>E. coli</em>) in the influent and effluent of the WWTP. Methodologies adopted are also reported. Second worksheet reports the operating conditions of the full-scale MBR as well as information about the tubular UF membranes installed. Characteristics of the PAC purchased to perform the experiments regarding the removal of OMPs are also described. Third worksheet reports minimum, maximum and average concentration of 232 OMPs in the influent and effluent during: The monitoring period considering only the MBR The experimental period where PAC is added and maintained at a concentration of 0.1g/L inside the MBR Fourth worksheet contains metadata regarding the UHPLC–QTOF–MS analysis performed to evaluate the occurrence of OMPs in the influent and effluent of the WWTP. Sampling, storage and sample preparation is described, followed to LC-ESI-tandem MS analysis. LOD and LOQ are reported.
DOI: 10.6084/m9.figshare.22656906
title: Changes in fatty acids in <i>Brassica juncea</i> L. oil grown under two simulated conditions of fluoride contamination

description: Rapeseed, the second-most-important vegetable oil source, is cultivated in various areas of India where both groundwater and soil are contaminated with fluoride (F<sup>–</sup>). Furthermore, the frequent use of F<sup>–</sup> contaminated groundwater for irrigation leads to accumulation of F<sup>–</sup> in surface and sub-surface soil. The study aims to compare the morphological and biochemical changes in <i>Brassica juncea</i> L., the variations in its fatty acids (FAs) composition and oil yield, under two regimes of F<sup>–</sup> contaminated soils: (i) pre-contaminated soil (Tr) and (ii) irrigation with F<sup>–</sup> contaminated water (Ir). The level of F<sup>–</sup> (µg g<sup>−1</sup>) in the plant tissues (root, leaf, and grain) was significantly higher in Ir_10 (18.3, 14.7, and 2.8, respectively) than in Tr_10 (4.3, 2.6, and 0.77, respectively), while the oil yield was significantly lower with Ir_10 (19.5%) than with Tr_10 (44.9%). The phytoremediation potential of F<sup>–</sup> by <i>Brassica juncea</i> L. is greater in Tr regime than in the Ir regime. The erucic acid content (%), which is detrimental to cardiac health, increased to 67.37% (Ir_10) and 58.3% (Tr_10) from 57.73% (control). Thus, the present study shows that irrigation with F<sup>–</sup> contaminated water results in greater toxicity and accumulation in plants and is not safe for human health. Irrigation with F<sup>–</sup> contaminated water results in a greater accumulation of F<sup>–</sup> in mustard than cultivated on pre-contaminated soil. The level of erucic acid in mustard oil enhances against F<sup>–</sup> exposure.