Find research datasets worth reusing

opencc-by-4.0Oct 2017View details →

Linear and circular economy figure

Two figures representing a linear and circular economy approach with a plastic bottle as an example but is applicable to any recycable waste product and especially single-use plastic packaging. In the linear economy model the product is manufactured using principally new resources, largely petroleum based. Most of the product’s value is lost during its life cycle because of leakage along the entire value chain (red arrows), including pellet loss, littering, combined sewage overflow, loss during transport and improper storage of waste, and poorly designed products that are easily lost to the environment and difficult to recover (microbeads, small wrappers, torn corners of packaging). This leads to a contamination of the environment, affecting wildlife and human well-being. A small proportion is recycled (green arrow) for remanufacture, with the remainder utilized for energy recovery. In the circular economy model a high percentage of recycled content is used as feedstock for new products, and the remainder from sustainable sources (potentially biopolymers). Poor practices (red arrows) throughout the life cycle are mitigated, for example, by proper legislative policy, public awareness that leads to proper consumer waste handling, and incentivized recovery systems (e.g., returnable bottles). Recovery is further improved by regulating end-of-life design in products and packaging. This leads to reduced leakage of plastic to the environment from all sectors of society, and significant improvements are social justice concerns for communities that manage waste. The small amount of residual plastic is then disposed of responsibly.   Figure and figure captions originally published in: Eriksen M, Thiel M, Prindiville M, Kiessling T 2018. Microplastic: what are the solutions? in Freshwater Microplastics - Emerging Environmental Contaminants (Eds Wagner M, Lambert S), The Handbook of Environmental Chemistry 58. Springer. Licence: Creative Commons 4.0 BY. Feel free to reuse, to change, and to adapt - just refer to the above-mentioned publication. The .svg file allows you to change parts of the figures easily with Inkscape (a free vector graphic program).

opencc-by-4.0Jun 2024View details →

Antibacterial Hydrogel Adhesives based on Bifunctional Telechelic Dendritic-Linear-Dendritic Block Copolymers

Antibiotic resistant pathogens have been declared by WHO as one of the major public health threats facing humanity.  For that reason, there is an urgent need for materials with inherent antibacterial activity able to replace the use of antibiotics, and in this context, hydrogels have emerged as a promising strategy. Herein, we introduce the next generation of cationic hydrogels with antibacterial activity and high versatility that can be cured on demand in less than twenty seconds by using Thiolene Click Chemistry (TEC) in aqueous conditions. The approach capitalizes on a two-component system: i) telechelic polyester based Dendritic-Linear-Dendritic (DLDs) block copolymers of different generations heterofunctionalized with allyl and ammonium groups, as well as ii) polyethylene glycol (PEG) crosslinkers functionalized with thiol groups. These hydrogels resulted in highly tunable materials where the antibacterial performance can be adjusted by modifying the crosslinking density. Off-stoichiometric hydrogels showed narrow antibacterial activity directed towards Gram-negative bacteria. The presence of pending allyls opens up many possibilities for functionalization with biologically interesting molecules.  As a proof-of-concept, hydrophilic cysteamine hydrochloride as well as N-hexyl-4-mercaptobutanamide, as an example of a thiol with a hydrophobic alkyl chain, generated three-component networks. In the case of cysteamine derivatives, a broader antibacterial activity was noted than the two-component networks, inhibiting also the growth of Gram-positive bacteria. Additionally, these systems presented high versatility, with storage modulus values ranging from 270 to 7024 Pa and different stability profiles ranging from 1 to 56 days in swelling experiments. Good biocompatibility towards skin cells as well as strong adhesion to multiple surfaces, place these hydrogels as interesting alternatives to conventional antibiotics.

opencc-by-4.0Jul 2024View details →

Dataset for 'Low Molar Mass Cyclic Poly(L-lactide)s: Separate Transesterification Reactions of Cycles and Linear Chains in the Solid State'

This set contains all MALDI and DSC data used for publication 'Low Molar Mass Cyclic Poly(L-lactide)s: Separate Transesterification Reactions of Cycles and Linear Chains in the Solid State' in RSC Soft Matter, DOI: 10.1039/D4SM00567H.

Sample FITS file with non-linear wavelength solution using a Chebyshev model

This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a Chebyshev model. This data is in its original shape.

Sample FITS file with non-linear wavelength solution using a cubic spline model

This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a cubic spline model. This data is in its original shape.

Sample FITS file with log linear wavelength solution

This file was wavelength calibrated using IRAF and written to a FITS file using a log linear wavelength solution.

Sample FITS file with non-linear wavelength solution using a Legendre model

This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a Legendre model. This data is in its original shape.

Sample FITS file with non-linear wavelength solution using a linear spline model

This file was wavelength calibrated using IRAF and written to a FITS file using a non-linear wavelength solution using a linear spline model. This data is in its original shape.

Sample FITS file with linear wavelength solution

This file was wavelength calibrated using IRAF and written to a FITS file using a linear wavelength solution which means it has been resample.

opencc-by-4.0Sep 2019View details →

Unbalanced species losses and gains lead to non-linear trajectories as grasslands become forests

Datasets for the article "Unbalanced species losses and gains lead to non-linear trajectories as grasslands become forests" in Journal of Vegetation Science. Plot data contains information on grassland sites in the archipelago, including how long they have been abandoned for and the surrounding landscape composition. Species occurrence matrix contains data on the plant communities found in vegetation sampling plots at respective sites.

opencc-by-4.0Jun 2024View details →

Supplementary Materials associated with paper 'Complete linear mitochondrial genomes for Cephea cephea and Mastigias albipunctata (Scyphozoa: Rhizostomeae), with an analysis of phylogenetic relationships'

This is a repository for coverage depth graphs and ML-phylogenetic trees that are associated with the paper 'Complete linear mitochondrial genomes for Cephea cephea and Mastigias albipunctata (Scyphozoa: Rhizostomeae), with an analysis of phylogenetic relationships' by Tan KC, Collins AG and Ames CL.

opencc-by-4.0Jun 2021View details →

PhasAGE Training School 1 - Linear motifs identification and prediction - PRACTICAL

The Training School 1 “Computational Methods to Study Protein Phase Separation” is the first edition of a series of PhasAGE training activities. The goal of this course is to provide participants with the basic knowledge to understand the phenomenon of Phase Separation, its role in biological processes and diseases. In addition, the course will provide an overview of the available computational resources to navigate this knowledge. Participants will have hands-on training in tools and resources available for life sciences, to collect information from the literature on biomolecular phase transitions, identify features triggering phase transitions, mutations associated with diseases, known or predicted PTMs and molecular interaction sites.

opencc-by-4.0Dec 2022View details →

Mycenean Linear B sequences - series D

We present a dataset for Symbol-level language modelling of linear B scripts using a Bidirectional Recurrent Neural Network.  The RNN is trained to predict the missing symbol in a given Mycenaean sequence. It includes Series "D" sequences 2565 sequences without missing symbols extracted from:  J. Chadwick, L. Godart, J. T. Killen, J. P. Olivier, A. Sacconi, and I. A. Sakellarakis. Corpus of Mycenaean Inscriptions from Knossos: Volumes 1-4, Cambridge University Press, 1987.   The first 513 sequences result from the processing of series D tablets, The next 725 sequences result from the augmentation techniques described in the paper The remaining 1327 sequences are duplicates to minimize bias. The dataset was used in the following publication:  K. PAPAVASSILEIOU, Kosmopoulos, D. I., G. Owens, “A generative model for the Mycenaean Linear B script and its application in infilling text from ancient tablets”, ACM Journal on Computing and Cultural Heritage, https://doi.org/10.1145/3593431. If you use this dataset please cite this publication.

opencc-by-4.0Jul 2023View details →

Data from: Calculating global annual methane increases from satellite data using an ensemble dynamic linear model approach

NOTE: This is no official S5P/TROPOMI WFMD XCH4 L3-Dataset. This data is used and created by the example code provided in <a href="http://www.doi.org/10.5281/zenodo.8178927">10.5281/zenodo.8178927</a>, which is a supplement to the manuscript 'Zonal variability of methane trends derived from satellite data' (Hachmeister et al., 2024 ; 10.5194/acp-24-577-2024). This data can be downloaded to skip the gridding step in the mentioned example code, to avoid downloading the complete input data.

opencc-by-4.0May 2023View details →

Resolving the Interpretation of Magnetic Coercivity Components from Backfield Isothermal Remanence Curves Using Unmixing of Non-linear Preisach Maps: Application to Loess-Paleosol Sequences

The data set includes: 1. Non-linear Preisach measurements for Lunca and Costinești loess-paleosol sections 2. IRM coercivity distributions from Lunca and Costinesti interpolated on a common sequence of fields 3. Lunca granulometry data 4. Median Grain size for Costineși section. 5. Magnetic susceptibility data measured at Lunca section (Constantin et al., 2015) 6. IRM acquisition curves derived from backfield IRM data through rescaling for Costinesti section 7. Costinesti rock magnetic data (Necula et al., 2015)

opencc-by-4.0Apr 2018View details →

Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms (supplemental material: brain wave loops movies)

This is a collection of videos supplementing the paper "Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms" Examples of wave trajectories and emergent persistent loop patterns for the spherical shell cortex model with varying amounts of tensor anisotropy and inhomogeneous shell layer thickness. Examples of brain wave trajectories and emergent persistent loop patterns for cortical fold geometry with different approaches used for estimation of inhomogeneity and anisotropy. Among those examples are several simple cases with variable inhomogeneity and fixed anisotropy (similar to the above spherical shell cortex model) as well as with more complex estimates of anisotropy based on multiple diffusion gradients MRI (dMRI) acquisitions.

opencc-by-4.0Mar 2020View details →

Spectra of linear and quadratic magnetooptic parameters of Co2MnSi Heusler compound

Dataset contain spectra of permitivity in 0th order in magnetization (eps_d) , of linear magnetooptic parametr K and of quadratic magnetooptic parameters Gs and 2G44. All those parameters fully describe perrmitivity tensor of Co2MnSi Heusler compound up to second order in magnetization. This dataset is discussed in the article: Scaling of quadratic and linear magnetooptic Kerr effect spectra with L21 ordering of Co2MnSi Heusler compound

opencc-by-4.0Jun 2020View details →

Cluster randomized controlled trial evaluating the impact on children's linear growth of an unconditional cash transfer program implemented in rural areas of North Togo

A parallel cluster randomized controlled trial was implemented in North Togo. 162 rural landlocked villages were randomized into either an intervention arm (cash transfers + package of community activities, n=82) or a control arm (package of community activities only, n=80).   Two different representative samples of children aged 6-29 months and their mothers were surveyed, one before the intervention (2014, n=2,658), the other two years afterwards (2016, n=2,031). You will found here: <ul> <li>Two datasets, fully anonymized (French, CSV files): one for observations on households and the other for observations on mother-child pairs</li> <li>Two dictionaries of variables (French, Excel files): one for the household database and the other for the mother-child pairs database</li> <li>The study protocol as submitted to the Ministry of Health of Togo (French, PDF)</li> <li>The technical and financial proposal (to evaluate the CT program) as submitted to funders (English, PDF)</li> </ul>