Find research datasets worth reusing

Model input for "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)"

This dataset contains the numerical model input files that were used to produce the model simulation presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)". When using these files to run a model, most files should be placed inside a directory named INPUT/ that resides in the working directory where the model is being run. The following files should be at the top level in the working directory: data_table, diag_table, field_table, input.nml. For large files, a subset in time is provided for the first year of the simulation. This dataset does not include the ERA5 atmospheric data, which can be downloaded directly from https://doi.org/10.24381/cds.adbb2d47. Portions of the initial and boundary condition data were generated using E.U. Copernicus Marine Service Information: \url{https://doi.org/10.48670/moi-00021}, \url{https://doi.org/10.48670/moi-00148}. Refer to the manuscript for references to other data sources.

opencc-by-2.0May 2023View details →

Datasets for "The Case for Retaining Natural Language Descriptions of Phenotypes in Plant Databases and a Web Application as Proof of Concept", 2023

The collection of a dataset that organized information about plant genes, phenotypes, and annotations from a variety of data sources

Input data for executing SELARU 1.0 application for Indonesia energy system optimization case study

Input data for SELARU modelling framework application in a case study to demonstrate the impact of spatially explicit representation for energy system optimization, particularly in depicting incremental grid expansion and its contribution to accumulation of economies of scale. The case study focuses on the electricity sector of Indonesia to represent a highly complex and geographically diverse energy system. SELARU modelling framework is applied using three spatial representations: single-node model, low resolution multi-node model and high resolution multi-node model. Detailed information about the spatial representations can be found in <a href="https://doi.org/10.31219/osf.io/aw4bd">https://doi.org/10.31219/osf.io/aw4bd</a>.

An annotated list of horizon scanned technologies with potential for application in alien species citizen science projects

Context The contribution of volunteers in recording invasive alien species (IAS) has been fostered by technological developments such as social media, apps, low-cost sensors, search engines and predictive analytics. These technology developments, an increased attention to citizen science and a cultural change towards collaboration and openness in research within the policy agenda should increase the contribution of volunteer recording. Within the framework of the COST Action CA17122 <a href="https://www.ceh.ac.uk/our-science/projects/alien-csi">Increasing Understanding of Alien Species through Citizen Science</a> (<a href="https://doi.org/10.3897/rio.4.e31412">Roy et al. 2018</a>) a group of researchers explored the value of emerging technologies for citizen science in the context of alien species, recognizing the contribution of volunteers and reviewing their potential to engage broad audiences, motivate volunteers, improve data collection, increase data quality etc. Survey The following criteria were then used to evaluate the potential of these technologies for alien species citizen science through a dedicated <a href="https://forms.gle/9GQJctnAbPLKyxDE7">survey</a>: ● Audience: the technology can attract new target audiences for IAS citizen science and/or support more inclusivity in IAS citizen science (can overcome inequalities in participation, attract under-privileged audiences/those underrepresented in the scientific enterprise, allow participation of sensory/cognitive/otherwise impaired...) ● Engagement with others: the technology supports better connections with other participants, helpful in building a community ● Engagement via feedback: the technology increases the quality, amount or rate of feedback (including supporting learning) to participants ● Application: the technology can be embedded in everyday life and therefore has the potential for wide, generic application ● New data: the technology yields new types of data that would not be available without the technology (improved the detectability of IAS, new types of data, species interactions, new information sources) ● Extends data: the technology expands the scope of data collection or analysis (e.g. better coverage spatially, temporally) ● Improves data quality: the technology improves species ID, reduces uncertainty, improves validation ● Improves the flow of data: the technology increases the speed of record transmission (e.g. for early warning) ● Improves the curation of data: the technology itself allows for improved data curation (better metadata, sustainability and long term preservation data, open data, tracked provenance of data, FAIR data management, enable to better credit citizen scientists for their data contributions) Dataset description This dataset represents the list of technologies (in the broadest sense, including approaches) that were identified collectively by the experts as being relevant technologies in the framework of (alien species) citizen science. The dataset includes the following fields: <ul> <li>Name: name of the approach/technology</li> <li>Category: broad categorisation of the approach/technology (Hardware and infrastructure, data collection and analysis tools, tools to improve user experience). If some approaches are combinations this is mentioned in description.</li> <li>Description: a definition and/or description of the approach/technology</li> <li>Reference: a reference on the approach/technology (e.g. paper, online reference), mostly with a doi</li> <li>Example: an example of the approach/technology, mostly with reference to an (alien species) citizen science project that applied it</li> <li>Notes: any further remarks</li> </ul>

opencc-by-4.0Dec 2022View details →

Crop diversification and digestate application effect on the productivity and efficiency of irrigated winter crop systems

This dataset was done gathering and calculating data from an experiment integrated in the Circular Agronomics project. In October 2019 an experiment was setup in a randomized block design where 5 different irrigated winter crops were grown in 2 3-year rotations by 3 seasons. Several crop and and soil variables were measured to test for responses under different fertiliser treatments, including untreated and dried acidified digestates. There were also different crop precedents especifically for wheat, since this was the common crop between both rotations (cereal and diverse). With the gathered data we were able to calculate and test for differences in grain yield and N concentration, N uptake efficiency and water use efficiency of the different crops under different fertilisation and rotation (wheat) treatments. Also the soil was tested for differences in soil nitrates at 3 time points during the 3 seasons and soil total nitrogen at the end of the experiment. (Start: 2019-09-20 ; End: 2022-08-30)

Chirality-Induced Spin Selectivity: An Enabling Technology for Quantum Applications. Open data set

Data supporting the original figures 5, 6 and 7 of the related publication.

A New GFSv15 based Climate Model Large Ensemble and Its Application to Understanding Climate Variability, and Predictability

Data and analysis scripts for figures of Journal article (A New GFSv15 based Climate Model Large Ensemble and Its Application to Understanding Climate Variability, and Predictability)

Application of deep neural networks to reconstruct coastal water quality data

In this study ordinary and new integrated deep neural networks were developed for the reconstruction of measured specific conductance (SC) data. Five stations of USGS in the Gulf of Mexico were considered as case study.

Data produced by the study "Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality in Africa".

This is the processed data used in the manuscript entitled "Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality in Africa".

Data set for the publication entitled "An exact system of generation for face-hobbed hypoid gears: Application to high reduction hypoid gear drives"

This data set includes 16 files corresponding to the paper with doi:10.1016/j.mechmachtheory.2022.105115 plus a readme.txt file. See the readme.txt file for a description of the contents of the 16 files.

opencc-by-4.0Dec 2022View details →

The dataset of "Deep Learning-enabled 3D Multimodal Fusion of Cone-Beam CT and Intraoral Mesh Scans for Clinically Applicable Tooth-bone Reconstruction"

The dataset used in the study "Deep Learning-enabled 3D Multimodal Fusion of Cone-Beam CT and Intraoral Mesh Scans for Clinically Applicable Tooth-bone Reconstruction" is available upon request. Please contact the authors of the study or the responsible institution for access to the dataset.

opencc-by-4.0Jul 2023View details →

From strain to displacement: using deformation to enhance distributed acoustic applications

Recovering displacement from distributed acoustic sensing data for seismic applications This repository contains the data to reproduce the figures presented in the following article: Trabattoni, A., Biagioli, F., Strumia, C., van den Ende, M., Scotto di Uccio. F., Festa, G., Rivet, D., Sladen, A., Ampuero J. P., Métaxian, J. P., Stutzmann, E. (2023). From strain to displacement: using deformation to enhance distributed acoustic applications. Geophysical Journal International. This article covers three geographic area separated into separate folders. More details can be found in the related articles.

dryad32/100

Joint quantile disease mapping with application to Malaria and G6PD deficiency

Statistical analysis based on quantile regression methods is more comprehensive, flexible, and less sensitive to outliers when compared to mean regression methods. When the link between different diseases are of interest, joint disease mapping is useful for inferring correlation between them. Most studies study this link through multiple correlated mean regressions. In this paper we propose a joint quantile regression framework for multiple diseases where different quantile levels can be considered. We are motivated by the theorized link between the presence of Malaria and the gene deficiency G6PD, where medical scientist have anecdotally discovered a possible link between high levels of G6PD and lower than expected levels of Malaria initially pointing towards the occurrence of G6PD inhibiting the occurrence of Malaria. This link cannot be investigated with mean regressions and thus the need for flexible joint quantile regression in a disease mapping framework arise. Our joint quantile disease mapping model can be used for linear and non-linear effects of covariates by stochastic splines, since we define it as a latent Gaussian model. We perform Bayesian inference of this model using the INLA framework embedded in the R software package INLA, resulting in a very efficient model even for large datasets. Finally, we illustrate the applicability of the model by analyzing the malaria and G6PD deficiency incidences, jointly, in 21 countries.

opencc-zeroAug 2023View details →

Fig. 5. A in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 5. A Reactivity of the α-alectoronic acid 18 and the α-collatolic acid 19 with K. B Structure of the perlatolic acid 20.

Fig. 2 in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 2. δ-keto ester-containing depsides considered in this study. 1 (Elix and Whitton, 1989); 2 (Elix et al., 1996; Elix and Wardlaw, 1997; Orange, 2014); 3 (Culberson et al., 1977; P´erez et al., 2016); 4 (Huneck et al., 1970).

Fig. 9 in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 9. KUV probe on extracts of P. cinereoatra C, P. speirea var speirea S, P. irriguaI I, P. macrocarpa Ma and P. platycarpoides P. Extracts were spotted and K was added (right) or not (left).

Fig. 1 in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 1. Molecular structures of glomelliferic acid 1 and glomellic acid 2 and their fluorescent behaviour upon addition of K. Key 2-oxoalkyl motif highlighted in blue. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 10. A in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 10. A. Direct application of the KUV probe on the medulla of P. cinereoatra; B. KUV probe on the eluted TLC (solvent G) of Porpidia cinereoatra C, P. tuberculosa T, P. speirea var speirea S, P. melinodes M, P. contraponenda Co, P. irrigua I and P. rugosa R.

Fig. 8 in Intramolecular transesterification of depsides yields fluorescent 1H-isochromen-1-ones: Application as a chemical probe for lichen determination

Fig. 8. Relaxed coordinate scans of simplified despides under A. neutral and B. basic conditions; C. Energy minimized structure of simplified depsidone under basic conditions; D. Manually adjusted dihedral angle to position the enolate close to the ester carbonyl group.