Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
12,393
datasets available to search
ShareScore release 0.9.0
Dataset results
12,393 results for “materiality”
Replication Materials for "Bevölkerungsalterung unter Pandemiebedingungen"
<p>In December 2022, the German Pension Insurance announced an estimated surplus of €2.1 billion for the past year. President Roßbach partly explained this balance with the "Corona Pandemic, which has led to an increase in mortality, especially among older people". Here I take a closer look at the demographics behind that statement. I calculate the pandemic related population deficit among ages 65 and above across Europe and look at population aging under conditions of continuously reduced life expectancy.</p>
Experimental material of the article "An Empirical Experiment of a Usability Requirements Elicitation Method based on Interviews"
<p>Questionnaires, problems description and solution, and raw data of the paper "An Empirical Experiment of a Usability Requirements Elicitation Method based on Interviews"</p>
Supplementary Material - Supporting Shared Understanding in Asynchronous Communication Contexts
<p>Supplementary Material for the paper Supporting Shared Understanding in Asynchronous Communication Contexts.</p> <p> </p> <p>The material contains of a spreadsheet used for the Pathfinder method to measure a groups shared understanding on the topic of future mobility. Keywords for the spreadsheet were based on a vision video published by Hyundai (https://www.youtube.com/watch?v=J_OBgXalGFU).</p> <p>Additionally, we also present the network similarity values obtained for each participant pair for each group. These can be found in the second spreadsheet.</p>
Supplementary material for AAMAS 2023 paper : Trusting Artificial Agents: Communication Trumps Performance
<p>This is the supplementary material for AAMAS 2023 full paper "Trusting Artificial Agents: Communication Trumps Performance". It includes a video of the conditions encountered by each group and details about how the study was led as well as statistical detailed analyses.</p>
Stowaways S1. Methods & Comparative Materials
<p>A full description of biometric methods utilized in the Stowaways manuscript, including formulae following previously published protocols and comparative material dataset.</p>
Online Repository for "Sorting lithium-ion battery electrode materials using dielectrophoresis"
<p>Please see the readme file.</p> <p>The matlab script for evaluating the measurements is called “Eval_Fluoro.m” and can be found in this repository.</p> <p>The excel sheet “20221028_photometric_iron.xlsx” contaiins the data from the chemical analysis.</p> <p>The manufacturing data for the electrodes is provided in the zip folder: PCB_boards_Giesler.zip and can be uploaded to a manufacturer of choice.</p>
Machine vision for vial-positioning detections towards safe automation of material synthesis
<p>This repository contains an DenseSSD's datasets that predicts vial-positioning detection using object detection techniques. DenseSSD can play vital roles in addressing these safety issues as well as can alert to user's messenger to notify and fix safety issues as soon as possible.</p>
Data for: Nest material preferences in wild hazel dormice Muscardinus avellanarius: Testing predictions from optimal foraging theory
<p class="MsoNormal">Obtaining nesting material presents an optimal foraging problem, collection of materials incurs a cost in terms of risk of predation and energy spent, and individuals must balance these costs with the benefits of using that material in the nest. The hazel dormouse, <em>Muscardinus avellanarius</em> is an endangered British mammal in which both sexes build nests. However, whether material used in their construction follows the predictions of optimal foraging theory is unknown. Here, we analyse the use of nesting materials in forty two breeding nests from six locations in Southwest England. Nests were characterised in terms of which plants were used, the relative amount of each plant, and how far away the nearest source was. We find that dormice exhibit a preference for plants closer to the nest, but that the distance they are prepared to travel depends on the plant species. Dormice travelled further to collect honeysuckle <em>Lonicera periclymenum</em>, oak <em>Quercus robur</em>, and beech <em>Fagus sylvatica</em> than any other plants. Distance did not affect the relative amount used, although the proportion of honeysuckle in nests was highest, and more effort was expended collecting honeysuckle, beech, bramble <em>Rubus fruticosus</em> and oak compared to other plants. Our results suggest that not all aspects of optimal foraging theory apply to nest material collection. However, optimal foraging theory is a useful model to examine nest material collection, providing testable predictions. As found previously honeysuckle is important as a nesting material, and should be taken account when assessing suitability of sites for dormice.</p>
Experimental materials for "Reanalysis of Empirical Data on Java Local Variables with Narrow and Broad Scope"
<p>Data, scripts, and graphs for the paper "Reanalysis of Empirical Data on Java Local Variables with Narrow and Broad Scope", published in ICPC 2023.</p><p>See README file for details on directories and usage.</p>
Materials to accompany "Dynamic Theologies: the Ruthwell Cross from an Irish perspective" (2023) by Éamonn Ó Carragáin
<p>Materials to accompany "Dynamic Theologies: the Ruthwell Cross from an Irish perspective" by Éamonn Ó Carragáin.</p>
Materials characterization and adsorption isotherm data
<p><span>Nano-zirconia (ZO) was synthesized using a microwave assisted one pot precipitation route. Two biopolymers, chitosan (CTS) and carboxymethyl cellulose (CMC), were then combined with zirconia at different w/w ratios in order to identify the system with the most improved sorption properties towards Pb(II), Cd(II), As(V) and F<sup>-</sup>. The formulation with 30% w/w chitosan (ZO-CTS) was found to give enhanced uptake of F<sup>-</sup> and As(V). Improved sorption properties could not be observed for Pb(II) and Cd(II) in any of the ZO-polymer blends, with ZO being the most potent sorbent here. ZO and the lead system ZO-CTS were characterized in detail using Fourier transform infra-red spectroscopy, scanning electron microscopy, X-ray diffraction and X-ray photoelectron spectroscopy (XPS). These confirmed the formation of a composite system comprising nanoparticles with 50 nm in size in which ZO was present in the amorphous form. Interactions between Zr and the amide and hydroxide groups of chitosan were suggested from XPS. Batch adsorption studies were carried out and equilibrium adsorption data were fitted to a series of isotherm models. It was observed that the combination of ZO with CTS improved the F<sup>-</sup> and As(V) adsorption capacity most notably at pH 5.2. Fluoride adsorption by ZO-CTS followed the Freundlich isotherm model, with an adsorption capacity of 120 mg/g. Adsorption of As(V) by ZO-CTS could be fitted with both the Langmuir and Freundlich isotherm models, and was found to have a capacity of 14.8 mg/g. Gravity filtration studies were also carried out at two different pH levels to test the feasibility of ZO-CTS in real-world applications. These indicated that the sorbent could be used to filter a significant volume of water and ensure that pollutant levels remained below acceptable values.</span></p>
Supplemental material for the paper "Genotype-phenotype correlation, clinical presentation, and feminizing surgery in children with congenital adrenal hyperplasia - a nationwide study"
<p>This dataset provides documentation for the translation between historical nomenclature for variants in the CYP21A2 gene to the Human genome variation society nomenclature. </p> <p>Furthermore, it provides data on all Danish CYP21A2 variants included in the study and the translation into genotype groups: Null, A, B, C, and D. </p>
Supplemental Materials for "Convective boundary mixing in main-sequence stars: theory and empirical constraints"
<p>MESA inlists and data products used for generating the figures of the review paper: "Convective boundary mixing in main-sequence stars: theory and empirical constraints".</p>
Kolakovic-Supplementary_Materials V3
<p>Input data set and results of study: Estimation of large river designed-floods using the peaks-over-threshold (POT) method.</p>
Supplementary Material 1
<p>Supplementary Material "<em>Table 1: Mean values and standard deviation (SD) of isotopic carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) ratios of food resources and consumers on a tropical rocky reef adjacent a marine riparian area at Abraãozinho, Ilha Grande Bay, Brazil</em>" for the article "<strong>Autochthonous versus allochthonous resources in a tropical rocky shore trophic web adjacent to a marine riparian area</strong>" </p>
Supplementary materials of "Causatives in Classical Armenian"
<p>Supplementary materials of: Petr A. Kocharov. 2023. Causatives in Classical Armenian. Folia Linguistica. The dataset contains a list of verbs for which the analytic causative construction tam 'give' plus infinitive is attested in the Armenian Bible (based on the electronic concordance available at https://bible.armeniancathedral.org/), "De Deo" by Eznik Kołbacʽi and "The History of the Armenians" by Agathangełos (based on the electronic concordance available at the Leiden Armenian Lexical Database: http://www.sd-editions.com/LALT/). The base verbs are specified with respect to the typical semantic role of the first argument, syntactic transitivity, text frequency and attestations, correspondance with the dídōmi-construction in the Greek original of the biblical contexts, and the text frequency of competing synthetic causatives when available in the biblical corpus.</p>
Supplementary Material to "An improved grand-potential phase-field model of solid-state sintering for many particles"
<p>Supplementary Material to the publication "An improved grand-potential phase-field model of solid-state sintering for many particles" by Seiz, Hierl and Nestler. This contains the pre-study for determining the effective stiffness for the rigid-body velocity calculation and video files showing the 3D evolution of the green body in more detail than possible in the paper itself.</p> <p> </p> <p>slicethru_{start,end}.webm: Moving slices through the 400^3 nm green body at t=0.045ms and t=1.8ms representing the start and end of the simulation respectively. White/transparency indicates the surrounding vapor, with the colourmap showing different grains. Any interfaces are shown as black lines.</p> <p> </p> <p>greenbody_400.webm : Time evolution of the 400^3 nm green body based on the solid-vapor interface. White/transparent indicates the surrounding vapor, with the brownish material indicating the grains.</p> <p> </p> <p>prestudy.zip: Contains the notebook and data used for the pre-study for determining the effective stiffness. A binder is available at</p> <pre>https://mybinder.org/v2/git/https%3A%2F%2Fgit.scc.kit.edu%2Fxt5201%2Fsupplementary-material-for-improved-pf-sintering-model/master?labpath=eval-kvar.ipynb</pre> <p> </p> <p> </p>
Open ENTRANCE Deliverable D3.2 - Supplementary Material
<p>This repository contains the supplementary material for Open ENTRANCE Deliverable D3.2 (https://openentrance.eu/2022/07/06/quantitative-scenarios-for-low-carbon-futures-of-the-european-energy-system-oncountry-region-and-local-level/)</p> <p>It contains all input and output files, including GAMS model files of the used GENeSYS-MOD version (model version v3.1-oE).</p>
Empirical research in software architecture - perceptions of the community (supplementary material)
<p>This repository contains supplementary material for the manuscript "Empirical research in software architecture - perceptions of the community" published in the Journal of Systems and Software (<a href="https://doi.org/10.1016/j.jss.2023.111684">https://doi.org/10.1016/j.jss.2023.111684</a>):</p> <ul> <li>ICSA_papers.xlsx: This file contains the papers published at ICSA 2017-2021.</li> <li>invited_PC_members.xlsx: This file contains all names of PC members of ECSA, ICSA, QoSA, CBSE and WICSA for all instances of these conferences. This information was collected in June 2017 from the publicly available websites of these conferences as well as the publicly available online profiles of PC members.</li> <li>protocol.pdf: This files contains a summary of the survey protocol.</li> <li>responses.xls: This file contains all the responses of the survey from all respondents for all questions.</li> </ul>
Supporting material for PyESDv1.0.1 An open-source Python framework for empirical-statistical downscaling of climate information
<p>The nature and severity of climate change impacts varies significantly from region to region. Consequently, high-resolution climate information is needed for meaningful impact assessments and the design of mitigation strategies. This demand has led to an increase in the coupling of Empirical Statistical Downscaling (ESD) models to General Circulation Model (GCM) simulations of future climate. Here, we present a new open-source Python package (<em>pyESD; </em>github.com/Dan-Boat/PyESD) that implements several Perfect Prognosis ESD (PP-ESD) methods and the whole downscaling cycle. The latter includes routines for data preparation, predictor selection and construction, model selection and training, evaluation, utility tools for relevant statistical tests, visualization, and more. The package includes a collection of well-established Machine Learning algorithms and allows the user to choose a variety of estimators, cross-validation schemes, objective function measures, hyperparameter optimization, etc., in relatively few lines of code. The package is highly modular and flexible and allows quick and reproducible downscaling of any climate information, such as precipitation, temperature, wind speed, or even glacial retreat. The dataset presented here serves as supporting material for the package description and evaluation manuscript</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.