cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6389949
title: Supplementary material to: Quality Assessment of Meta-Analyses on Soil Organic Carbon

description: <strong>Title</strong>: Supplementary material to: Quality Assessment of Meta-Analyses on Soil Organic Carbon <strong>Content</strong>: underlying data to article Table S1: List of resources for assessing the quality of, reporting or creating meta-analyses in several disciplines Table S2: 31 soil organic carbon meta-analyses and their individual scores per (sub)-criterium Table S3: Literature gathering Table S4: Information on screening process Table S5: Results for all meta-analyses per group and (sub)-criterium Table S6: Quick quality assessment of meta-analyses in IPCC report with the help of "cut-off" criteria Table S7: Results for criteria 1-5 and 9-17 from meta-analyses that passed and did not pass the "cut-off" criteria Table S8: Template for quality assessment
DOI: 10.17031/63f8ab6210051
title: 2010 Natural England (NE) and Sea-Scope Marine Environmental Consultants Flamborough Head SAC sea cave intertidal survey

description: Report detailing the findings of a survey investigating intertidal sea caves within Flamborough Head Special Area of Conservation (SAC). The survey aimed to assess sea caves within the SAC by repeating and adding to a baseline survey undertaken in 1999. The survey included both Phase 1 and Phase 2 surveying, although not all caves were assessed at both levels. The report includes detailed results and discussions of the surveys findings. In addition, conclusions and recommendations are made.
DOI: 10.5281/zenodo.7665200
title: Phenotypic variations of primary metabolites yield during alcoholic fermentation in the Saccharomyces cerevisiae species

description: Supplementary data including the data set used for the" Phenotypic variations of primary metabolites yield during alcoholic fermentation in the Saccharomyces cerevisiae species" publication. Abstract: <em>Saccharomyces cerevisiae</em>, as the workhorse of alcoholic fermentation, is a major actor of winemaking. In this context, this yeast species performs alcoholic fermentation to convert sugars from the grape must into ethanol and CO<sub>2</sub> with an outstanding efficiency: it reaches on average 92% of the maximum theoretical yield of conversion. Primary metabolites produced during fermentation stand for a great importance in wine where they significantly impact wine characteristics. Ethanol indeed does, but others too, which are found in lower concentrations: glycerol, succinate, acetate, ⍺-ketoglutarate… Their production, which can be characterised by a yield according to the amount of sugars consumed, is known to differ from one strain to another. <em>S. cerevisiae</em> is known for its great genetic diversity and plasticity that is directly related to its living environment, natural or technological and therefore to domestication. This leads to a great phenotypic diversity of metabolites production. However, the range of metabolic diversity is variable and depends on the pathway considered. In the aim to improve wine quality, the selection, development and use of strains with dedicated metabolites production without genetic modifications can rely on the natural diversity that already exists. Here we detail a screening that aims to assess this diversity of primary metabolites production in a set of 51 <em>S. cerevisiae</em> strains from various genetic backgrounds (wine, flor, rum, West African, sake…). To approach winemaking conditions, we used a synthetic grape must as fermentation medium and measured by HPLC five main metabolites. Results obtained pointed out great yield differences between strains and that variability is dependent on the metabolite considered. Ethanol appears as the one with the smallest variation among our set of strains, despite it’s by far the most produced. A clear negative correlation between ethanol and glycerol yields has been observed, confirming glycerol synthesis as a good lever to impact ethanol yield. Genetic groups have been identified as linked to high production of specific metabolites, like succinate for rum strains or alpha-ketoglutarate for wine strains. This study thus helps to define the phenotypic diversity of <em>S. cerevisiae</em> in a wine-like context and supports the use of ways of development of new strains exploiting natural diversity. Finally, it provides a detailed data set usable to study diversity of primary metabolites production, including common commercial wine strains.
DOI: 10.5281/zenodo.7665199
title: Phenotypic variations of primary metabolites yield during alcoholic fermentation in the Saccharomyces cerevisiae species

description: Supplementary data including the data set used for the" Phenotypic variations of primary metabolites yield during alcoholic fermentation in the Saccharomyces cerevisiae species" publication. Abstract: <em>Saccharomyces cerevisiae</em>, as the workhorse of alcoholic fermentation, is a major actor of winemaking. In this context, this yeast species performs alcoholic fermentation to convert sugars from the grape must into ethanol and CO<sub>2</sub> with an outstanding efficiency: it reaches on average 92% of the maximum theoretical yield of conversion. Primary metabolites produced during fermentation stand for a great importance in wine where they significantly impact wine characteristics. Ethanol indeed does, but others too, which are found in lower concentrations: glycerol, succinate, acetate, ⍺-ketoglutarate… Their production, which can be characterised by a yield according to the amount of sugars consumed, is known to differ from one strain to another. <em>S. cerevisiae</em> is known for its great genetic diversity and plasticity that is directly related to its living environment, natural or technological and therefore to domestication. This leads to a great phenotypic diversity of metabolites production. However, the range of metabolic diversity is variable and depends on the pathway considered. In the aim to improve wine quality, the selection, development and use of strains with dedicated metabolites production without genetic modifications can rely on the natural diversity that already exists. Here we detail a screening that aims to assess this diversity of primary metabolites production in a set of 51 <em>S. cerevisiae</em> strains from various genetic backgrounds (wine, flor, rum, West African, sake…). To approach winemaking conditions, we used a synthetic grape must as fermentation medium and measured by HPLC five main metabolites. Results obtained pointed out great yield differences between strains and that variability is dependent on the metabolite considered. Ethanol appears as the one with the smallest variation among our set of strains, despite it’s by far the most produced. A clear negative correlation between ethanol and glycerol yields has been observed, confirming glycerol synthesis as a good lever to impact ethanol yield. Genetic groups have been identified as linked to high production of specific metabolites, like succinate for rum strains or alpha-ketoglutarate for wine strains. This study thus helps to define the phenotypic diversity of <em>S. cerevisiae</em> in a wine-like context and supports the use of ways of development of new strains exploiting natural diversity. Finally, it provides a detailed data set usable to study diversity of primary metabolites production, including common commercial wine strains.
DOI: 10.5281/zenodo.7674243
title: Near-bed stratification controls bottom hypoxia in ice-covered alpine lakes

description: Dataset supporting the study of the development of near-bottom hypoxia in high-altitude lakes. Herein, hypoxia is set for dissolved oxygen concentrations equal to or below 2 mg/l Variables: Lake (name of the lake), Year (corresponding winter of measurements),Max_depth (lake'smax depth, in m),Lake_surface (lake's surface area in m2), Drainage_ratio (unitless), Percent_macrophyte_cover (lake's average macrophyte cover, in %), Catchement_NDVI (unitless),Secchi (Secchi depth in m, measured over the previous summer), ice_duration (estimated duration of the ice cover, in days), T_ice_on (average water column temperature at the date of ice_on, in °C), DOinit (average concentration in dissolved oxygen at ice-on, in mg/l), DOinitsat (average saturation in dissolved oxygen_DO_ at ice-on, in %), time_under_hypoxia (duration in days of near-bottom hypoxia under the ice), time_to_hypoxia (time in days to reach near-bottom hypoxia under the ice, after the onset of ice), Kexp (near_bottom DO decay rate under the ice, in /d), Klm (rate of near_bottom DO decrease under the ice, in mg/l/d), Kheat (deep warming rate under the ice, in /d). see the corresponding paper for more details
DOI: 10.5281/zenodo.7674242
title: Near-bed stratification controls bottom hypoxia in ice-covered alpine lakes

description: Dataset supporting the study of the development of near-bottom hypoxia in high-altitude lakes. Herein, hypoxia is set for dissolved oxygen concentrations equal to or below 2 mg/l Variables: Lake (name of the lake), Year (corresponding winter of measurements),Max_depth (lake'smax depth, in m),Lake_surface (lake's surface area in m2), Drainage_ratio (unitless), Percent_macrophyte_cover (lake's average macrophyte cover, in %), Catchement_NDVI (unitless),Secchi (Secchi depth in m, measured over the previous summer), ice_duration (estimated duration of the ice cover, in days), T_ice_on (average water column temperature at the date of ice_on, in °C), DOinit (average concentration in dissolved oxygen at ice-on, in mg/l), DOinitsat (average saturation in dissolved oxygen_DO_ at ice-on, in %), time_under_hypoxia (duration in days of near-bottom hypoxia under the ice), time_to_hypoxia (time in days to reach near-bottom hypoxia under the ice, after the onset of ice), Kexp (near_bottom DO decay rate under the ice, in /d), Klm (rate of near_bottom DO decrease under the ice, in mg/l/d), Kheat (deep warming rate under the ice, in /d). see the corresponding paper for more details
DOI: 10.6084/m9.figshare.19447121
title: Supplementary material to: Quality Assessment of Meta-Analyses on Soil Organic Carbon

description: Table S1: List of resources for assessing the quality of, reporting or creating meta-analyses in several disciplines Table S2: 31 soil organic carbon meta-analyses and their individual scores per (sub)-criterium Table S3: Literature gathering Table S4: Information on screening process Table S5: Results for all meta-analyses per group and (sub)-criterium Table S6: Quick quality assessment of meta-analyses in IPCC report with the help of "cut-off" criteria Table S7: Results for criteria 1-5 and 9-17 from meta-analyses that passed and did not pass the "cut-off" criteria Table S8: Template for quality assessment <br> <strong>Corresponding article:</strong> <br> Fohrafellner, J., Zechmeister-Boltenstern, S., Murugan, R., and Valkama, E.: Quality assessment of meta-analyses on soil organic carbon, SOIL, 9, 117–140, https://doi.org/10.5194/soil-9-117-2023, 2023. <br>
DOI: 10.6084/m9.figshare.19447121.v2
title: Supplementary material to: Quality Assessment of Meta-Analyses on Soil Organic Carbon

description: Table S1: List of resources for assessing the quality of, reporting or creating meta-analyses in several disciplines Table S2: 31 soil organic carbon meta-analyses and their individual scores per (sub)-criterium Table S3: Literature gathering Table S4: Information on screening process Table S5: Results for all meta-analyses per group and (sub)-criterium Table S6: Quick quality assessment of meta-analyses in IPCC report with the help of "cut-off" criteria Table S7: Results for criteria 1-5 and 9-17 from meta-analyses that passed and did not pass the "cut-off" criteria Table S8: Template for quality assessment <br> <strong>Corresponding article:</strong> <br> Fohrafellner, J., Zechmeister-Boltenstern, S., Murugan, R., and Valkama, E.: Quality assessment of meta-analyses on soil organic carbon, SOIL, 9, 117–140, https://doi.org/10.5194/soil-9-117-2023, 2023. <br>
DOI: 10.6084/m9.figshare.19447121.v1
title: Supplementary material_v1

description: <strong>Supplementary material</strong> including: <br> <strong>Table S1:</strong> List of resources for assessing the quality of, reporting or creating meta-analyses in several disciplines. <strong>Table S2:</strong> 31 soil organic carbon meta-analyses and their individual scores per (sub)-criterium. <strong>Table S3:</strong> Information on where, when and how literature was collected and treated. <strong>Table S4:</strong> Information on screening process. List of all retrieved articles, screening decisions included. <strong>Table S5:</strong> Results for all meta-analyses per group and (sub)-criterium. Number of meta-analyses and percentages of meta-analyses which fulfilled the criteria; results for number and percentages of meta-analyses that fulfilled cut-off. <strong>Table S6:</strong> Quick quality assessment of meta-analyses in IPCC report with the help of "cut-off" criteria. Quality assessment of meta-analyses in IPCC report. <strong>Table S7:</strong> Results for criteria 9-17 from meta-analyses that passed the three cut-off criteria. Scores and percentage results for criteria 9-17 for only meta-analyses that passed the cut-off criteria. <strong>Table S8:</strong> Template for the quality assessment of meta-analyses. <br> <strong>Corresponding article:</strong> <br> Fohrafellner, J., Zechmeister-Boltenstern, S., Murugan, R., and Valkama, E.: Quality Assessment of Meta-Analyses on Soil Organic Carbon, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-488, 2022. <br>
DOI: 10.25403/upresearchdata.22147277
title: Indigenous beliefs for black Africans in the workplace

description: A qualitative approach was applied using the grounded theory method to collect data for this study. Thirty five employees were interviewed from both managerial and administrative levels using semi-structured interviews. The Atlas.ti qualitative data analysis tool was used to create codes and themes for the large sections of text obtained from the interview data. The datasets contained are 3 fold: 1) The biographical data of the participants 2) The themes which emerged from the study 3) The research design process that was followed.
DOI: 10.25403/upresearchdata.22147277.v1
title: Indigenous beliefs for black Africans in the workplace

description: A qualitative approach was applied using the grounded theory method to collect data for this study. Thirty five employees were interviewed from both managerial and administrative levels using semi-structured interviews. The Atlas.ti qualitative data analysis tool was used to create codes and themes for the large sections of text obtained from the interview data. The datasets contained are 3 fold: 1) The biographical data of the participants 2) The themes which emerged from the study 3) The research design process that was followed.
DOI: 10.25829/g01w-zw24
title: Data and R code used in: Effects of plant diversity on species-specific herbivory – Patterns and mechanisms

description: Invertebrate herbivory can shape plant communities when impacting growth and fitness of some plant species more than other species. Previous studies showed that herbivory varies among plant species and that species-specific herbivory is affected by the diversity of the surrounding plant community. However, mechanisms underlying this variation are still poorly understood. In this study we investigate how plant traits and plant apparency explain differences in herbivory among plant species and we explore the effect of plant community diversity on these species-specific relationships. We found that species differed in the herbivory they experienced. Forbs were 3-times more damaged by herbivores than grasses. Variability within grasses was caused by differences in leaf dry matter content (LDMC). Furthermore, higher plant diversity increased herbivory on 15 plant species and decreased herbivory on nine species. Variation within forb and grass species in their response to changing plant diversity was best explained by species’ physical resistance (LDMC, forbs) and biomass (grasses). Overall, our results show that herbivory and diversity effects on herbivory differ among species, and that, depending on the plant functional group, either species-specific traits or apparency are driving those differences. Thus, herbivores might selectively consume palatable forbs or abundant grasses with contrasting consequences for plant community composition in grasslands dominated by either forbs or grasses. Here are the data and R code for this analysis.
DOI: 10.34740/kaggle/dsv/5056541
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.17031/63f893b56837f
title: 2005 English Nature (EN) Isle of Thanet. Sublittoral monitoring

description: The Thanet Coast was nominated as a candidate Special Area of Conservation (cSAC) to the European Commission in 1996 in recognition of the importance of the chalk exposures and the communities they support. Under the terms of the Habitats Directive (Council of European Communities 1992) the UK is required to report at intervals on the condition of its marine Special Areas of Conservation (SAC).  This survey was designed to repeat previous work carried out by the Natural History Museum (NHM) in order to provide information on the condition of the SAC. Data for the survey was gathered using divers moving along a transect line making video recordings fo the biotopes. The dataset includes GIS biotope polygon data of the Thanet coast and a comparrison with previous data found in 1997 and 2004 by the NHM.
DOI: 10.6084/m9.figshare.22133126.v1
title: 3D Visual Sustainable Management of Rubber Forest Based on Terrestrial Photogrammetry System

description: As an important part of agricultural cash crops in Hainan Province, more attention should be paid to monitoring sample plots of rubber trees. We developed a ground continuous photogram-metry system combined with 3D point-cloud reconstruction technology based on the structure from motion with Multiview Stereo method and sample plot survey data. Error analyses and ac-curacy evaluations of quadrat information were performed in the study area, covering different age classes and morphological characteristics, to explore its practical value in monitoring rubber plantation sample plots. Furthermore, the relationship between under branch height, diameter at breast height (DBH), and rubber tree volume was explored, and a rubber tree binary volume model was established. Here, we innovatively proposed a planning scheme for a terrestrial photogrammetry system for the sus-tainable management of rubber forests, to provide a novel solution to the issues faced by current sample plot monitoring practices. In the future, the application of a ground continuous photo-grammetry system to other types of forest monitoring will gradually be explored.The following is the data package of our research: 1. The data table in the folder (Data) is the data summary table of our study, which includes the measurement value of rubber forest volume, the measurement value of rubber forest DBH, the measurement value of under branch height and the specific information of each rubber tree in 19 sample plots. 2. The data in the folder (Figures) is the relevant illustration in the research paper.
DOI: 10.5281/zenodo.7673768
title: Dataset for Quantum anomaly detection in the latent space of proton collision events at the LHC

description: Dataset used for https://arxiv.org/abs/2301.10780. The initial dataset is compressed to a low-dimensional latent space using a deep autoencoder. Files with compressed data are provided here in HDF5 format. Different sets of files are given, for different choices of dimensionality for the latent space. A description of the dataset is provided in https://arxiv.org/abs/2301.10780
DOI: 10.15129/589f7af3-26b3-4a93-b042-fbc8100fc977
title: Catalogue of Larisa data

description: Data: Larissa Classes: earthquake, quake and rockfall Period: 17th March 2021, from 18:53 to 19:53 Station: A1 (TRY1, TRY3, TRY6, and TRYN). A2 (TRY1, TRY2, TRY3, and TRY4)
DOI: 10.6084/m9.figshare.22154297
title: On the use of LIBS data for mineralogical investigations – constraints and application of a clustering method

description: Appendix B. Modal mineralogy results for each LIBS ablation crater.
DOI: 10.6084/m9.figshare.22154300
title: On the use of LIBS data for mineralogical investigations – constraints and application of a clustering method

description: Appendix A. 1 mm spaced LIBS transect results.
DOI: 10.6084/m9.figshare.22154300.v1
title: On the use of LIBS data for mineralogical investigations – constraints and application of a clustering method

description: Appendix A. 1 mm spaced LIBS transect results.
DOI: 10.18112/openneuro.ds004080.v1.2.2
title: CCEP ECoG dataset across age 4-51
DOI: 10.26302/sshade/experiment_op_20230220_001
title: Cu K edge XAS HERFD of Cu metallic powder (2% weight in BN)
DOI: 10.34740/kaggle/ds/2894881
title: Fiber Segmentation Dataset
DOI: 10.5281/zenodo.7673971
title: Dataset for Numerical modeling of air-vented parallel plate ionization chambers for ultra-high dose rate applications

description: Dataset for paper: Jose Paz-Martín et al., Physica Medica Volume 103, November 2022, Pages 147-156 https://doi.org/10.1016/j.ejmp.2022.10.006
description: This work has received funding from the EMPIR programme project 18HLT04 UHDpulse co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
description: {"references": ["Jose\u00a0Paz-Mart\u00edn et al.,\u00a0Physica Medica\u00a0Volume 103,\u00a0November 2022, Pages 147-156"]}
DOI: 10.5281/zenodo.7673972
title: Dataset for Numerical modeling of air-vented parallel plate ionization chambers for ultra-high dose rate applications

description: Dataset for paper: Jose Paz-Martín et al., Physica Medica Volume 103, November 2022, Pages 147-156 https://doi.org/10.1016/j.ejmp.2022.10.006
description: This work has received funding from the EMPIR programme project 18HLT04 UHDpulse co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.
description: {"references": ["Jose\u00a0Paz-Mart\u00edn et al.,\u00a0Physica Medica\u00a0Volume 103,\u00a0November 2022, Pages 147-156"]}
DOI: 10.21942/uva.22154306
title: Visualisation of Chord Diagrams and Tables

description: Scripts and data for visualisation of chord diagrams and tables for the paper "What Makes Us Feel Good? A Data-driven Investigation of Positive Emotion Experience"
DOI: 10.34740/kaggle/ds/2920892
title: Carbon Rovings Segmentation Dataset
DOI: 10.21942/uva.22154288
title: Scripts for Text Analytics and NLP

description: Text analysis for the article "What Makes Us Feel Good? A Data-driven Investigation of Positive Emotion Experience".
DOI: 10.34740/kaggle/ds/2921245
title: Concrete Pores Segmentation Dataset
DOI: 10.5281/zenodo.7674351
title: Bioprocess optimization for lactic and succinic acid production from a pulp and paper industry side stream

description: The data gathered in this file represent measurements and results obtained of during hydrolysis experiments done by RISE and fermentations performed by ATB. This information was necessary to optimize the lactic and succinic acid production via small scale fermentation trials. For lactic acid fermentation two Bacillus coagulans strains were used: A162 and A541. Simillarly, two succinic acid producers were used in this study: Actinobacillus succinogenes B1 and Basfia succiniciproducens B2. Moreover, the enzyme loading is described, what directly shows the hydrolysis performance.