Find research datasets worth reusing

opencc-by-4.0Jan 2023View details →

Summary ouput data - Wasteaware Cities Benchmark Indicators - WABI 2023 - Global data analytics - Machine learning vs. Non-linear Regression

This is the output dataset for the research publication "Socio-economic development drives solid waste management performance in cities: A global analysis using machine learning". It features  <ul> <li>Metadata info used by R codes</li> <li>Summary of results for two modelling approaches (machine learning: Conditional random-forest and non-linear regression)</li> </ul> The independent variables dataset analysed here refer to specific indicators of the WABI methodology (<a href="https://www.sciencedirect.com/science/article/pii/S0956053X14004905">https://www.sciencedirect.com/science/article/pii/S0956053X14004905</a>) that generates solid waste management and resource recovery profiles for cities. It was applied here for 40 cities around the world. The data input are available here: 10.5281/zenodo.7570174

opencc-by-4.0Feb 2023View details →

Plant Treaty Crop Indicator - Results

Information on the use of food and agricultural crops and on interdependence regarding, demand for, supply of, and security of their genetic resources is needed to prioritize conservation and utilization efforts. This information is increasingly available but is scattered through several information systems, databases and scientific literature. The study The plants that feed the world: Baseline data and metrics to inform strategies for the conservation and use of plant genetic resources for food and agriculture intends to bring together and make widely available pertinent information from these different sources. The aim is to develop a set of reproducible metrics that provide an evidence base for the international plant genetic resources community to prioritize conservation and utilization activities. Measured periodically, these metrics can also provide insights on change over time in the use of crops and issues regarding interdependence on, demand for, supply of, and security of their genetic resources. This dataset are the full results of this analysis, presented both with all crops together, as well as by crop use type. This study was undertaken as part of a research project coordinated by the Secretariat of ITPGRFA and generously funded by the FAO’s Flexible Multi-Partner Mechanism and the Government of Norway.

opencc-by-4.0Dec 2022View details →

Data from: Thermal failure of diamond tools indicated by diamond degradation: Damage evaluation and property prediction on small image datasets

High temperature induced diamond degradation often leads to the failure of diamond tools. In this work, diamond samples holding different degrees of thermal damage were prepared by heating and sintering. The influence of diamond particle size and processing temperature was investigated through mechanical testing and micromorphology observation, meanwhile, a dataset containing 2870 SEM images showing diamonds with different degrees of degradation was constructed. By modification of VGG16 network, classification models and regression models were developed for thermal damage evaluation and sample property prediction. Training strategies including transfer learning and data augmentation were implemented and verified essential on the small dataset, where drop-out showed no positive effects. Two classification models (3-class and 65-class) were constructed and trained for damage evaluation. Visualized damage feature maps exported from Grad-CAM revealed the influential mechanism of thermal damage on diamonds, which proved the effectiveness of the classification models as well. Under the optimized training strategies, regression models were built for sample property prediction. The models towards toughness index, bending strength loss, relative density and Rockwell hardness were examined. Comparing the output results with real property values in test sets, the first two models matched well, and the latter two showed the opposite. It verified the validity of the regression models for property prediction as they were all established based on diamond damage image datasets. The loss in bending strength loss prediction model was smaller than that of toughness index, indicating bending strength easier to be shorten than impact toughness for diamond/metal composites suffering thermal impacts.

opencc-zeroMar 2023View details →

Urban soil quality is being deteriorated even with low heavy metal levels: An arthropod-based multi-indices approach

Urban-induced habitat conversion drastically changes soil life in a variety of ways. Soil sealing, human disturbance, habitat fragmentation, industrial and vehicular pollution are the main causes of urban soil degradation. Soil arthropods, as the most abundant and diverse group of soil fauna, are involved in many soil processes that are of great importance in maintaining soil health and multifunctionality. Nevertheless, soil quality is still mainly characterized by physical, chemical, and microbiological parameters. Here, we assessed and compared the biological soil quality in woody (REF: reference forest, REM: remnant forest) and non-woody (TURF: public turfgrass, and RUD: ruderal habitat) types of urban green spaces along a disturbance and management intensity gradient in the Budapest metropolitan area (Hungary), using community metrics and soil arthropod-based indicators. Vegetation cover and landscape characteristics of study sites were quantified through vegetation and urbanization indices, respectively. Basic soil properties, total and bioavailable concentrations of the main heavy metals (Cd, Co, Hg, Ni, Zn) were also measured. Acari, Collembola, and Hymenoptera (mainly Formicidae) were the most abundant groups. Litter-dweller taxa, particularly Protura, proved to be the most sensitive to urban disturbance. Representatives of Hemiptera, Diptera, Symphyla, and Pauropoda were common in low densities. Soil arthropod assemblages in RUD and TURF were more diverse taxonomically than in REM and REF sites. Although the integrated faunal indices showed no differences among soil habitat types, they provided different responses and, consequently, different information. Our findings demonstrated that the biological quality and arthropod community structure of soils were strongly impacted by soil C/N and heavy metal contamination. We found that low and moderate levels of pollution have adverse effects on edaphic fauna, suggesting biological degradation of soils, even below pollution limits. Nevertheless, more disturbed urban green spaces have been shown to play a significant role in maintaining belowground biodiversity, thereby soil functions.

opencc-zeroMar 2023View details →

Data from: Spatiotemporal segregation by migratory phenotype indicates potential for assortative mating in lake sturgeon

Migratory diversity can promote population differentiation if sympatric phenotypes become temporally, spatially, or behaviorally segregated during breeding. In this study, the potential for spatiotemporal segregation was tested among three migratory phenotypes of lake sturgeon (Acipenser fulvescens) that spawn in the St. Clair River of North America's Laurentian Great Lakes but differ in how often they migrate into the river and in which direction they move after spawning. Acoustic telemetry over nine years monitored use of two major spawning sites by lake sturgeon that moved north to overwinter in Lake Huron or south to overwinter in Lake St. Clair. Lake St. Clair migrants were further distinguished by whether they migrated into the St. Clair River each year (annual migrants) or intermittently (intermittent migrants). Social network analyses indicated lake sturgeon generally co-occurred with individuals of the same migratory phenotype more often than with different migratory phenotypes. A direct test for differences in space use revealed one site was almost exclusively visited by Lake St. Clair migrants whereas the other site was visited by Lake Huron migrants, intermittent Lake St. Clair migrants, and, to a lesser extent, annual Lake St. Clair migrants. Analysis of arrival and departure dates indicated an opportunity for co-occurrence at the site visited by all phenotypes but showed Lake Huron migrants arrived approximately two weeks before Lake St. Clair migrants. Taken together, our results indicated partial spatiotemporal segregation of migratory phenotypes that may generate assortative mating and promote population differentiation.

opencc-zeroMar 2023View details →

SnRNA-seq and mRNA hybridization indicate key bud events and LcFT1 and LcTFL1-2 mRNA transportability during floral transition in litchi

In flowering plants, floral induction signals intersect at the shoot apex to modulate meristem determinacy and growth form. Herein, we reported a snRNA-seq analysis of litchi apical buds at different developmental stages. A total of 41,641 nuclei expressing 21,402 genes were analyzed, revealing 35 cell clusters corresponding to 12 broad populations. We signature genes associated with floral transition and propose a model that profiles the key events associated with litchi floral meristem identity by analyzing 567 identified floral meristem cells at single-cell resolution. Interestingly, snRNA-seq data indicated that all putative FT and TFL1 genes were not expressed in bud nuclei, but significant expressions of them were detected in bud samples using RT-PCR. Based on the expression patterns and gene silencing results, we highlight the critical role of LcTFL1-2 in inhibiting flowering and propose that LcFT1/LcTFL1-2 expression ratio may determine the success of flower transition. The transport of LcFT1 and LcTFL1-2 mRNA from the leaf to the shoot apical meristem was proposed based on in-situ and dot blot hybridization results. These findings allowed for a more comprehensive understanding of the molecular events that occur during the litchi floral transition, as well as the identification of new regulators.

opennotspecifiedDec 2021View details →

TA B L E 2 Identified R packages useful for taxonomic name harmonization. Square brackets indicate supplementary references in Harmonizing taxon names in biodiversity data: A review of tools, databases and best practices

TA B L E 2 Identified R packages useful for taxonomic name harmonization. Square brackets indicate supplementary references

opencc-by-4.0Apr 2023View details →

Data Sets for the study "What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms"

This is the dataset of the paper "What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms" <ul> <li>figures.ipynb provides postprocessing codes for using the attached data to generate tables and figures in the paper.</li> <li>the csv folder consists of the raw data of function evaluations that algorithms used to hit each solution the first time.</li> <li>the metric folder consists of the processed data, which records the convergence process of two single objectives (y1 and y2), Hypervolume, and the number of obtained Pareto solutions.</li> <li>the gif folder consists of the gif files plotting the convergence process of solving LOTZ.</li> </ul>   The code used to generate this data is available at https://github.com/FurongYe/GSEMO

opencc-zeroJun 2023View details →

Terrain- and climate-based habitat suitability indices for the reef-building coral Lophelia pertusa on the Blake Plateau (southeastern United States)

Habitat suitability model outputs from Gasbarro et al. (2022) covering the Blake Plateau region of the southeastern United States margin. These include raster surfaces of ensemble mean, median, and standard deviation habitat suitability indices. Bathymetry-derived terrain variables were used to generate the terrain suitability layers, while climate model outputs were used to generate the climatic suitability layers. Rasters are in WGS84. See Gasbarro et al. (2022) for full modeling details.

opencc-by-4.0Jun 2023View details →

Geodiversity Index and sub-indices Map of French Guiana

This file contains: 1) The vector (.shp) of the Geodiversity Index Map of French Guiana. The attribute table includes the following fields: - "id": as the code identifier for each grid-cell; - "CODE": as the number of each grid-cell; - "LITHO", "MIN", "HYDRO", "GEOM": as the abundance of respectively lithological, mineralogical, hydrological, geomorphological entities per each cell according to the methodology described in the main paper (see below). - "CLS_L", "CLS_M", "CLS_Gm", "CLSH3": as geodiversity sub-indices values (i.e. respectively, lithodiversity, mineral diversity, geomorphodiversity, hydrodiversity) on a scale between 1 (low diversity) and 4 (very high diversity). - "TOT_GI3": the sum of the sub-indices values -"GI_CLS3": the final Geodiversity Index   2) The rasterized (.tiff) version of the map   The spatial data are associated with the following paper: Scammacca, O., Bétard, F., Aertgeerts, G. et al. Geodiversity Assessment of French Guiana: Challenges and Implications for Sustainable Land Planning. Geoheritage 14, 83 (2022). https://doi.org/10.1007/s12371-022-00716-6

opencc-by-4.0Jun 2023View details →

Dataset, metrics and indicators used for Horizon Results Booster analysis

Input data used for the HRB analysis. Criteria and indicators to determine what can be assessed as best practice and/or innovative output in the context of the HRB analysis. The HRB proposal for harmonizing project data collection (instead of manually retrieving this information looking in documents).

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Supplementary file 1

opennotspecifiedDec 2020View details →

Fig. 5 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone

Fig. 5. Selected NOESY correlations exhibited by 4. β-face correlations in red and α-face correlations in blue. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opennotspecifiedDec 2020View details →

Fig. 6 in Bond reactivity indices approach analysis of the [2+2] cycloaddition of jatrophane skeleton diterpenoids from Euphorbia gaditana Coss to tetracyclic gaditanone

Fig. 6. Selected NOESY correlations exhibited by 5. β-face correlations in red and α-face correlations in blue. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Consent form

The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study

Study Questionnaire

Constructing an Indicator System for Cultural Sustainability in Chinese Cities under the Objective of Urban Renewal and Capability Measurement

This paper adopts the top-down approach based on the interpretation and connotation of the seven first-level and 22 second-level indicators formulated above. At the same time, we are designing the tertiary indicator database in strict accordance with the principles of scientific, systematic, and adaptive construction of the indicator system. After deliberation and modification according to the actual situation, 179 three-level indicators are formulated in Appendix 1 for details.

Molecular and structural insights into H2 indicator supraparticles: lowering the limit of detection by tuning incorporated catalyst nanoparticles

Raw data from DRIFTS experiments, TEM and SEM microscopy, Zeta potential measurements, and TGA measurements for the article "Molecular and structural insights into H2 indicator supraparticles: lowering the limit of detection by tuning incorporated catalyst nanoparticles" published in Chemistry of Materials <a href="https://doi.org/10.1021/acs.chemmater.3c01105">https://doi.org/10.1021/acs.chemmater.3c01105</a>.

Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance

Primary data for DOI: 10.1002/nbm.4444 NMR in Biomedicine. 2021;34:e4444. Title: Correlation between LDH/PDH activities ratio and tissue pH in the perfused mouse heart – a potential non-invasive indicator of cardiac pH provided by hyperpolarized magnetic resonance Authors: David Shaul, Assad Azar, Gal Sapir, Sivaranjan Uppala, Atara Nardi-Schreiber, Ayelet Gamliel, Jacob Sosna, J. Moshe Gomori, and Rachel Katz-Brull   These primary datasets contain data presented in the above publication and consist of: 1. 31P-NMR spectra 2. Hyperpolarized 13C-NMR spectra Please consult the Archive Guide.