cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/gbazz5
title: 11_AMF_diversity_in_sweet_pepper_roots.csv

description: this sheet includes raw data on the genetic diversity of AMF in sweet pepper roots.
DOI: 10.57745/gfntcv
title: 01_Variables description.csv

description: this sheet describes each variable/column used within the dataset
DOI: 10.57745/ivlusg
title: 10_AMF_colonization_rates_of_sweet_pepper_roots.tab

description: this sheet includes raw data on the monitoring of the arbuscular mycorrhizal fungi (AMF) colonization rates of sweet pepper roots.
DOI: 10.57745/nksgda
title: 03_Nitrate_concentration_in_soil_and_petiole_sap_of_sweet_pepper.tab

description: This sheet includes raw data of nitrate concentration dynamics in soil and of sweet pepper petiole sap in all blocks and treatments.
DOI: 10.57745/p5zyjt
title: 06_Dynamics_of_yield_economic_benefit_and_defect_incidence.csv

description: This sheet includes raw data on the dynamics of marketable, unmarketable and residue yields for each crop species, year, block and treatment. This sheet also includes unit sales prices of products, the economic benefits and the rates of products with defects for 32 different kinds of defects.
DOI: 10.57745/uxv2kb
title: Fig.4.Crop and measurement calendar.pdf

description: Crop and measurement calendar
DOI: 10.57745/fy7bye
title: 07_Synthetized_yield_economic_benefit_and_defect_incidence.csv

description: This sheet includes synthetized data on cumulated marketable, unmarketable and residue yields for each crop cycle, block and treatment. This sheet also includes unit sales prices, economic benefits and the total rates of products with defects for 32 different kinds of defects.
DOI: 10.57745/hlgwts
title: 08_Sweet_pepper_pests_and_beneficials.csv

description: this sheet includes raw data on dynamics of pests and beneficials on sweet pepper across the two cropping cycles.
DOI: 10.57745/spz0yr
title: 04_Irrigation_soil_water_tension_and_climatic_condition.csv

description: This sheet includes synthetized daily data on water amounts provided by trickle and sprinkler in each block, potential evapotranspiration and average of soil water tension for each watermark sensor allocated in the different treatments and blocks. Data also include minimal, maximal and average values of relative humidity as well as soil and air temperature during daytime and nighttime and over 24 h in each block
DOI: 10.57745/ufvwgf
title: graphical abstract.pdf

description: that figure graphically summarizes the data of the dataset
DOI: 10.57745/z8udez
title: Fig.1. Boxplot of soil nitrate concentration.jpg

description: Boxplot of soil nitrate concentration in the six treatments. Data were pooled over time (days and years).
DOI: 10.57745/dhkzob
title: Fig.3. Boxplot of marketable yields of main and secondary crops in the six modalities.jpg

description: Boxplot of marketable yields of main and secondary crops in the six treatments. Data were pooled over years.
DOI: 10.57745/egl54b
title: Fig.2. Mean soil water tension in the six modalities.jpg

description: Mean soil water tension in the six treatments. Data were averaged over time (days and years).
DOI: 10.57745/hkjyoe
title: Fig.5. Mean spider mite population on sweet pepper in the six modalities.jpg

description: Mean spider mite population on sweet pepper in the six treatments. Data were averaged over time (days and years)
DOI: 10.57745/keulsi
title: Fig.4. Boxplot of economic benefits of main and secondary crops in the six modalities.jpg

description: Boxplot of economic benefits of main and secondary crops in the six treatments. Data were pooled over years.
DOI: 10.57745/zet1xh
title: Fig.9.Plant arrangement in the six modalities.pdf

description: Photograph of the experimental design and spatial arrangement of the crops
DOI: 10.57745/5z3h8k
title: graphical abstract.pdf

description: that figure graphically summarizes the data of the dataset
DOI: 10.57745/niqkj8
title: Fig.10.Crop and measurement calendar.pdf

description: Crop and measurement calendar
DOI: 10.57745/obpwsa
title: Fig.8.Experimental design.pdf

description: Plan of the experimental design and the spatial arrangement of the crops
DOI: 10.57745/oyja1m
title: Fig.6. Boxplot of the intensity of the mycorrhizal colonization in the mycorrhized root fragments of sweet pepper in the six modalities.jpg

description: Boxplot of the intensity of the mycorrhizal colonization in the mycorrhized root fragments of sweet pepper in the six treatments. Data were pooled over time (days and years).
DOI: 10.57745/veezyt
title: Fig.7.Tunnel view.JPG

description: Photograph of a tunnel (block)
DOI: 10.34740/kaggle/dsv/5983014
title: Mental Health Research Paper Abstracts
DOI: 10.25678/0008pk
title: Differential effects of wastewater treatment plant effluents on the antibiotic resistomes of diverse river habitats

description: Wastewater treatment plants (WWTPs) are key sources of antimicrobial resistance genes (ARG) that could influence the resistomes of microbial communities in various habitats of the receiving river ecosystem. However, it is currently unknown which habitats are most impacted and whether ARGs, like certain chemical contaminants, could be accumulated or enriched in the river ecosystem. We conducted a systematic metagenomic survey on the antibiotic resistomes of WWTP effluent, four riverine habitats (water, suspended particles, sediment, epilithic biofilm), and freshwater amphipod gut microbiomes. The impact of WWTP effluent on the downstream habitats was assessed in nine Swiss rivers. While there were significant differences in resistomes across habitats, the wastewater resistome was more similar to the resistome of receiving river water than to the resistomes of other habitats, and river water was the habitat most strongly impacted by the WWTPs effluent. The sulfonamide, beta-lactam, and aminoglycoside resistance genes were among the most abundant ARG in the WWTP effluents, and especially aadA, sul1, and class A beta lactamase genes showed significantly increased abundance in the river water of downstream compared to upstream locations (p &lt; 0.05). However, this was not the case for the sediment, biofilm, and amphipod gut habitats. Accordingly, evidence for accumulation or enrichment of ARGs through the riverine food web was not identified. Our study suggests that monitoring riverine antimicrobial resistance determinants could be conducted using “co-occurrence” of aadA, sul1, and class A beta lactamase genes as an indicator of wastewater-related pollution and should focus on the water as the most affected habitat.
DOI: 10.6084/m9.figshare.24137718
title: Supplementary Material for: The Worsening Renal Perfusion Index predicts the prognoses of heart failure patients treated with sacubitril/valsartan

description: Introduction: Sacubitril/valsartan (S/V) reduces all-cause mortality in patients with heart failure with reduced ejection fraction (HFrEF), but it may decline their estimated glomerular filtration rates (eGFR). In addition to eGFR, this clinical study aimed to develop a blood urea nitrogen (BUN)-based index to evaluate the status of renal perfusion and then identify predictors of all-cause death or heart transplant in patients with HFrEF receiving S/V. Methods: From the recruited 291 patients with HFrEF who were prescribed S/V from March 2017 to March 2019, we collected demographic, drug history, laboratory, echocardiographic, and clinical data from one year before S/V initiation until December 2020. Regression analysis was conducted by fitting Cox’s models with time-dependent covariates for the survival time and applying the modern stepwise variable selection procedure. The smoothing spline method was used to detect nonlinearity in effect and yield optimal cut-off values for continuous covariates. Results: In the Cox’s model, decreased hemoglobin level, decreased mean left ventricular ejection fraction, declined daily dose of S/V, decreased eGFR within 3 months, and increased BUN levels within 1 month and 9 months over time were significantly associated with an increased risk of all-cause death or heart transplant in patients with HFrEF. Conclusions: Adequate maintenance of renal perfusion is crucial for the continuous use of S/V and to avoid worsening renal function in patients with HFrEF. We defined the maximum increase in BUN levels within a specified period as the Worsening Renal Perfusion Index (WRPSV Index) to capture the prognostic effect of renal hypoperfusion in patients with HFrEF.
DOI: 10.5281/zenodo.8341374
title: JASPAR 2024 TFBS LOLA databases - Part 1

description: This repository contains the first part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.
DOI: 10.5281/zenodo.8341373
title: JASPAR 2024 TFBS LOLA databases - Part 1

description: This repository contains the first part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.
DOI: 10.5281/zenodo.8342388
title: JASPAR 2024 TFBS LOLA databases - Part 3

description: This repository contains the third part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.
DOI: 10.5281/zenodo.8342387
title: JASPAR 2024 TFBS LOLA databases - Part 3

description: This repository contains the third part of the JASPAR 2024 LOLA databases used by the JASPAR TFBS enrichment tool. For each organism, we provide the LOLA databases for all JASPAR 2024 TFBS sets as compressed directories containing a set of .RDS R objects. Databases are organised by genome assembly. The repository is split into different parts due to file sizes. Below are listed the different parts and the genome assemblies for which they have TFBSs: Part 1: araTha1, ce10, ce11, ci3, danRer11, dm6, sacCer3. Part 2: hg38. Part 3: mm39.
DOI: 10.58032/agh/myqvvo
title: TSP optimization results using ACO including two-dimensional pheromone table

description: The dataset contains logfiles from running experiments of the optimization algorithm under research. The implementation of Ant Colony Optimization algorithm, including a novel modification of two-dimensional pheromone, was used to solve instances of Traveling Salesman Problem from TSPLIB. Each logfile contains the configuration parameters of the algorithm, the best result obtained in subsequent iterations and final summary with global best result found and execution time.
DOI: 10.6084/m9.figshare.24137688
title: <b>A high-quality reference genome assembly of </b><b>Prinsepia uniflora</b><b>(Rosaceae)</b>

description: In this study, we presented a high-quality, chromosome-levelgenome assembly of a traditional Chinese medicinal plant, Prinsepia uniflora. The final assembly spans 1,272.71 Mb across 16 pseudochromosomes, with contig and super-scaffold N50 values of 2.77 and 79.32 Mb, respectively. A total of 875.99 Mb of repetitive sequences were annotated, with transposable elements spanning 777.28 Mb or 61.07% of the entire genome. We predicted 49,261 protein-coding genes within the repeat-masked assembly, 45,256 (91.87%) were functionally annotated, 5,127 (10.41%) were tandemly duplicated, and 2,373 (4.82%) were identified as transcription factor genes. In addition, we identified 3,080 non-coding RNAs spanning 0.51 Mb genome sequences. The reference-level P. uniflora genome assembly and annotation presented here will be highly useful indeep mining of genomic information of P. uniflora, and beneficial for comparative genomics and evolutionary studies of Rosaceae species.
DOI: 10.6084/m9.figshare.24137688.v1
title: <b>A high-quality reference genome assembly of </b><b>Prinsepia uniflora</b><b>(Rosaceae)</b>

description: In this study, we presented a high-quality, chromosome-levelgenome assembly of a traditional Chinese medicinal plant, Prinsepia uniflora. The final assembly spans 1,272.71 Mb across 16 pseudochromosomes, with contig and super-scaffold N50 values of 2.77 and 79.32 Mb, respectively. A total of 875.99 Mb of repetitive sequences were annotated, with transposable elements spanning 777.28 Mb or 61.07% of the entire genome. We predicted 49,261 protein-coding genes within the repeat-masked assembly, 45,256 (91.87%) were functionally annotated, 5,127 (10.41%) were tandemly duplicated, and 2,373 (4.82%) were identified as transcription factor genes. In addition, we identified 3,080 non-coding RNAs spanning 0.51 Mb genome sequences. The reference-level P. uniflora genome assembly and annotation presented here will be highly useful indeep mining of genomic information of P. uniflora, and beneficial for comparative genomics and evolutionary studies of Rosaceae species.
DOI: 10.57745/lov8nm
title: donnees-pllr-2022-anonymes.tab

description: :unav
DOI: 10.5281/zenodo.8343737
title: Validity, diagnostics and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in Huntington's disease

description: Datasets associated with the paper: 'Validity, diagnostics and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in Huntington’s disease'
DOI: 10.5281/zenodo.8343736
title: Validity, diagnostics and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in Huntington's disease

description: Datasets associated with the paper: 'Validity, diagnostics and feasibility of the Italian version of the Montreal Cognitive Assessment (MoCA) in Huntington’s disease'
DOI: 10.5281/zenodo.8286456
title: Detecting Lunar and Martian Water via Backscattered Cosmic Particles using Muon Tomography

description: <strong>Introduction</strong> The search for water on the Lunar and Martian surfaces is a cornerstone of space exploration, playing a key role in expanding our understanding of the history and evolution of these celestial bodies. Despite its importance, current knowledge about the distribution, concentration, origin, and migration of water on the Moon and Mars is still limited. This study aims to address these gaps by employing a novel approach that leverages cosmic-ray muon detectors and backscattered radiation. Through the use of advanced muon tracking systems and preliminary simulations conducted with GEANT4, the research suggests that muon tomography holds significant promise for improving our understanding of water-ice content on the Lunar and Martian surfaces. <strong>Data Description</strong> Data and detector models were generated using GEANT4. The simulations include: Lunar and Martian dry regolith Lunar and Martian regolith with water-ice beneath the surface <strong>Contents</strong> This record includes: <code>*.csv</code>: Output raw files from GEANT4, including 5D information, scattering angle, detector plate position, and particle type. <code>backscatter_eventselection.py</code>: Python code to filter events and generate a CSV file of selected backscattered events. <code>*.tiff</code>: Visualization files depicting Lunar and Martian scenarios, including detector geometry and particle events. <code>ml_classifier.py</code>: Python code for machine learning tasks to classify backscattered events. <code>OP_Muographers_2023.pdf</code>: Detailed description of chemical composition and simulated scenarios. Tracking_EKF: Performs track reconstruction and computes track lengths using extended Kalman Filter. <strong>Disclaimer</strong> The provided datasets are simulated samples suitable for conceptual R&D and performance studies. They have not been calibrated against real data and should not be used for physics projections about the detectors.
DOI: 10.5281/zenodo.8286457
title: Detecting Lunar and Martian Water via Backscattered Cosmic Particles using Muon Tomography

description: <strong>Introduction</strong> The search for water on the Lunar and Martian surfaces is a cornerstone of space exploration, playing a key role in expanding our understanding of the history and evolution of these celestial bodies. Despite its importance, current knowledge about the distribution, concentration, origin, and migration of water on the Moon and Mars is still limited. This study aims to address these gaps by employing a novel approach that leverages cosmic-ray muon detectors and backscattered radiation. Through the use of advanced muon tracking systems and preliminary simulations conducted with GEANT4, the research suggests that muon tomography holds significant promise for improving our understanding of water-ice content on the Lunar and Martian surfaces. <strong>Data Description</strong> Data and detector models were generated using GEANT4. The simulations include: Lunar and Martian dry regolith Lunar and Martian regolith with water-ice beneath the surface <strong>Contents</strong> This record includes: <code>*.csv</code>: Output raw files from GEANT4, including 5D information, scattering angle, detector plate position, and particle type. <code>backscatter_eventselection.py</code>: Python code to filter events and generate a CSV file of selected backscattered events. <code>*.tiff</code>: Visualization files depicting Lunar and Martian scenarios, including detector geometry and particle events. <code>ml_classifier.py</code>: Python code for machine learning tasks to classify backscattered events. <code>OP_Muographers_2023.pdf</code>: Detailed description of chemical composition and simulated scenarios. <strong>Disclaimer</strong> The provided datasets are simulated samples suitable for conceptual R&D and performance studies. They have not been calibrated against real data and should not be used for physics projections about the detectors.
DOI: 10.5281/zenodo.8343676
title: Detecting Lunar and Martian Water via Backscattered Cosmic Particles using Muon Tomography

description: <strong>Introduction</strong> The search for water on the Lunar and Martian surfaces is a cornerstone of space exploration, playing a key role in expanding our understanding of the history and evolution of these celestial bodies. Despite its importance, current knowledge about the distribution, concentration, origin, and migration of water on the Moon and Mars is still limited. This study aims to address these gaps by employing a novel approach that leverages cosmic-ray muon detectors and backscattered radiation. Through the use of advanced muon tracking systems and preliminary simulations conducted with GEANT4, the research suggests that muon tomography holds significant promise for improving our understanding of water-ice content on the Lunar and Martian surfaces. <strong>Data Description</strong> Data and detector models were generated using GEANT4. The simulations include: Lunar and Martian dry regolith Lunar and Martian regolith with water-ice beneath the surface <strong>Contents</strong> This record includes: <code>*.csv</code>: Output raw files from GEANT4, including 5D information, scattering angle, detector plate position, and particle type. <code>backscatter_eventselection.py</code>: Python code to filter events and generate a CSV file of selected backscattered events. <code>*.tiff</code>: Visualization files depicting Lunar and Martian scenarios, including detector geometry and particle events. <code>ml_classifier.py</code>: Python code for machine learning tasks to classify backscattered events. <code>OP_Muographers_2023.pdf</code>: Detailed description of chemical composition and simulated scenarios. Tracking_EKF: Performs track reconstruction and computes track lengths using extended Kalman Filter. <strong>Disclaimer</strong> The provided datasets are simulated samples suitable for conceptual R&D and performance studies. They have not been calibrated against real data and should not be used for physics projections about the detectors.
DOI: 10.5281/zenodo.8339513
title: Lunar ejecta origin of near-Earth asteroid Kamo`oalewa is compatible with rare orbital pathways

description: Outcomes of numerical simulations for orbital elements and collisional states of test particles launched from the surface of the Moon as described by: Castro-Cisneros, Malhotra, Rosengren (2023). Lunar ejecta origin of near-Earth asteroid Kamo`oalewa is compatible with rare orbital<br> pathways. Accepted for publication in Communications Earth & Environment.
DOI: 10.5281/zenodo.8339512
title: Lunar ejecta origin of near-Earth asteroid Kamo`oalewa is compatible with rare orbital pathways

description: Outcomes of numerical simulations for orbital elements and collisional states of test particles launched from the surface of the Moon as described by: Castro-Cisneros, Malhotra, Rosengren (2023). Lunar ejecta origin of near-Earth asteroid Kamo`oalewa is compatible with rare orbital<br> pathways. Accepted for publication in Communications Earth & Environment.
DOI: 10.5281/zenodo.8343775
title: SI_III_3_Composition of Antifungal Volatile Organic Compounds in Sextonia rubra Fruits by Molecular Networks

description: Ce document présente les données supplémentaires générées lors de l'étude de l'hydrolat de fruit de <em>S. rubra</em> par HS-GC-EI-MS.
DOI: 10.5281/zenodo.8343774
title: SI_III_3_Composition of Antifungal Volatile Organic Compounds in Sextonia rubra Fruits by Molecular Networks

description: Ce document présente les données supplémentaires générées lors de l'étude de l'hydrolat de fruit de <em>S. rubra</em> par HS-GC-EI-MS.
DOI: 10.5281/zenodo.7619631
title: A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem

description: The dataset for our paper 'A Fast Hop-Biased Approximation Algorithm for the Quadratic Group Steiner Tree Problem'. It consists of 5 real KGs (<code>Mondial</code>, <code>OpenCyc</code>, <code>LinkedMDB</code>, <code>YAGO</code>, <code>DBpedia</code>) and 5 synthetic KGs (<code>LUBM-10U</code>, <code>LUBM-50U</code>, <code>LUBM-250U</code>, <code>LUBM-2U</code>, <code>DBP-50K</code>). Each KG is compressed in one file, which including (for example, in <code>LUBM-2U</code>): <code>lubm_2u_nodes.sql</code>: the id, the name and the weight of a node, <code>lubm_2u_edges.sql</code>: the ids of two nodes an edge connects, <code>lubm_2u_queries.sql</code>: a query consists of some keywords, <code>lubm_2u_keymap.sql</code>: a keyword maps to a set of nodes, <code>lubm_2u_nodevec.sql</code>: the vector of a node, used to compute quadratic function qw, <code>lubm_2u_hub_hop.sql</code>: the hub labeling index to compute in Section 4.1, <code>lubm_2u_hub_mix_1.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.1, <code>lubm_2u_hub_mix_5.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.5, <code>lubm_2u_hub_mix_9.sql</code>: the hub labeling index to compute in Section 4.1 where α=0.9. You can dump the data into MySQL database. For example, <pre><code>create database lubm_2u; use lubm_2u; source lubm_2u_nodes.sql; …</code></pre> Unfortunately, due to the limit of space, for large KGs (<code>DBpedia</code> and <code>LUBM-250U</code>), we don't directly provide the data of hub labeling, i.e., these two compressed files only contains the first 5 sql files. You should generate hub labeling by yourself where the process is detailed in README of our project.