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”
Supplementary Material Containing DFT Structure Files and Convergence Tests for our μSR study on Fe2O3
<p>Supplemental material for <em>Local Electronic Structure and Dynamics of Muon-Polaron Complexes in Fe<sub>2</sub>O<sub>3</sub></em></p> <p>M. H. Dehn,<sup>1,2,3</sup> J. K. Shenton,<sup>4,*</sup> D. J. Arseneau,<sup>3</sup> W. A. MacFarlane,<sup>2,3,5</sup> G. D. Morris,<sup>3</sup> A. Maigné,<sup>2</sup> N. A. Spaldin<sup>4</sup> and R. F. Kiefl<sup>1,2,3</sup></p> <p><sup>1</sup>Department of Physics and Astronomy, University of British Columbia, Vancouver, BC V6T 1Z1, Canada<br> <sup>2</sup>Stewart Blusson Quantum Matter Institute, University of British Columbia, Vancouver, BC V6T 1Z4, Canada<br> <sup>3</sup>Triumf, Vancouver, BC V6T 2A3, Canada<br> <sup>4</sup>Department of Materials, ETH Zurich, CH-8093 Zürich, Switzerland<br> <sup>5</sup>Department of Chemistry, University of British Columbia, Vancouver, BC, V6T 1Z1, Canada<br> <sup>*</sup> For queries about the supplemental material in this repository contact <a href="mailto:john.shenton@mat.ethz.ch">J. Kane Shenton</a>.</p> <p>In these notebooks we provide supplemental material for our work on understanding the behaviour of muon-polaron complexes in Fe<sub>2</sub>O<sub>3</sub>.</p> <p>We provide VASP input and output files for each of the candidate muon stopping sites and states identified in the paper (also labelled as in the paper). We summarise the muon stopping sites and provide the code for analysing hyperfine tensors in the jupyter notebook: <a href="https://nbviewer.jupyter.org/github/Shenton-supplemental/Muons_in_Fe2O3/blob/master/Muon-site-summary.ipynb"><code>Muon-site-summary.ipynb</code></a>. There one can also find a summary of the <strong>computational details</strong> for the paper.</p> <p>We further provide <code>vasprun.xml</code> files for some of the tests of convergence with respect to plane-wave cutoff energy and k-point sampling density. These tests are summarised in the jupyter notebook: <a href="https://nbviewer.jupyter.org/github/Shenton-supplemental/Muons_in_Fe2O3/blob/master/Convergence_tests-ENCUT-KPOINTS.ipynb"><code>Convergence_tests-ENCUT-KPOINTS.ipynb</code></a>.</p> <p>A major source of uncertainty stems from the choice of Hubbard U<sub>eff</sub> correction. We varied U<sub>eff</sub> in the range 3 − 6 eV to gauge the impact of this parameter on the predicted energies and precession frequencies of the four charge-neutral muon-polaron complex states. This analysis is available in the notebook: <code><a href="https://nbviewer.jupyter.org/github/Shenton-supplemental/Muons_in_Fe2O3/blob/master/muons_wrt_U.ipynb">muons_wrt_U.ipynb</a>.</code> Although the numerical values do vary as a function of U<sub>eff</sub>, the qualitative behaviour as well as the ordering of frequencies and energy differences presented in the paper (corresponding to U<sub>eff</sub> = 4 eV) remain robust throughout the range: 3 − 5 eV which is the range typically employed for Fe <em>d</em> states.</p> <p>Finally, in the notebook: <a href="https://nbviewer.jupyter.org/github/Shenton-supplemental/Muons_in_Fe2O3/blob/master/Separating_the_muon-polaron_complex.ipynb"><code>Separating_the_muon-polaron_complex.ipynb</code></a>, we analyse the separation of muon from the polaron in different configurations. Here again we provide the VASP input and output files as well as the code used to analyse these results.</p> <p>These jupyter notebooks may be previewed on <a href="https://github.com/Shenton-supplemental/Muons_in_Fe2O3">github</a> or via the <a href="https://nbviewer.jupyter.org/github/Shenton-supplemental/Muons_in_Fe2O3">jupyter notebook viewer</a>. The latter does a better job of rendering the inline LaTeX and is therefore preferred.</p> <p>Note that all of files are currently compressed to save space. These must be uncompressed before the notebooks will run. In each notebook there is a cell one can run to decompress the files needed for that particular notebook.</p>
Enhanced genome annotation strategy provides novel insights on the phylogeny of 'Flaviviridae': Supplementary material
<p>SUPPLEMENTARY MATERIAL</p> <p><strong>Index</strong></p> <ul> <li> <p>Table S1 (tableS1.csv): genomic data.</p> </li> <li> <p>Table S2 (tableS2.csv): character categorization for selected nodes.</p> </li> <li> <p>Table S3 (tableS3.csv): programs and parameters.</p> </li> <li> <p>Table S4 (tableS4.csv): annotation efficiency.</p> </li> <li> <p>File S1 (fileS1.gff): gene annotation.</p> </li> <li> <p>File S2 (fileS2.xml): configuration file for BEAST 2 (configuration.xml).</p> </li> <li> <p>Figure S1 (figureS1.pdf): dendrogram depicting the hierarchical clusters of trees based on match-split distances.</p> </li> <li> <p>Figure S2 (figureS2.pdf): full version of the working phylogenetic hypothesis (tree No. 0 in table 1).</p> </li> </ul> <p><strong>Figure captions</strong></p> <ul> <li>Figure S1: A dendrogram depicting the hierarchical clusters of trees based on match-split distances. Outgroup sequences (<em>Hepacivirus</em>, <em>Pegivirus</em>, and <em>Pestivirus</em>) were removed to guarantee the compared tree topologies would have the same terminals. Tree numbers correspond to those in table 1 of the manuscript. I. No outgroup sequences; some matrices were partitioned. II. Outgroup sequences and partitioned matrices. *This tree was produced without outgroup sequences.</li> <li>Figure S2: Full version of the working phylogenetic hypothesis (tree No. 0 in table 1). Branch lengths represent an estimation of the number of substitutions per site. Node labels indicate SH-aLRT support / ultrafast bootstrap (only shown if one of there is a value below 90%). Clade names correlate to the character categorization analysis (see table S2). Branch labels represent the four genera: I = <em>Pestivirus</em>; II = <em>Pegivirus</em>; III = <em>Hepacivirus</em>; IV = <em>Flavivirus</em>. * The Ecuador Paraiso Escondido virus (EPEV) was isolated from sand flies (<em>Psathyromyia abonnenci</em>). The EPEV was the first sand fly-borne <em>Flavivirus</em> identified in the New World.</li> </ul> <p><strong>Manuscript title</strong></p> <p>FLAVi: an enhanced annotator for viral genomes of <em>Flaviviridae</em>.</p> <p><strong>Authors</strong></p> <ul> <li> <p>de Bernardi Schneider, Adriano. University of California San Diego. ORCID: 0000-0001-7487-266X.</p> </li> <li> <p>Jacob Machado, Denis. University of North Carolina at Charlotte. ORCID: 0000-0001-9858-4515. Corresponding author.</p> </li> <li> <p>Guirales, Sayal. University of North Carolina at Charlotte.</p> </li> <li> <p>Janies, Daniel. University of North Carolina at Charlotte.</p> </li> </ul> <p><em>First author</em>: Adriano de Bernardi Schneider and Denis Jacob Machado have contributed equally to the manuscript.</p> <p><strong>Contact information</strong></p> <ul> <li> <p>Corresponding author: Denis Jacob Machado, Ph.D.</p> </li> </ul> <ul> <li> <p>OrcID: 0000-0001-9858-4515.</p> </li> </ul> <ul> <li> <p>Email: dmachado [at] uncc.edu.</p> </li> </ul> <p><strong>Other additional material</strong></p> <ul> <li>In addition to the material listed above, all 31 tree topologies and 15 alignment matrices discussed in this manuscript will are available in TreeBASE (<a href="http://purl.org/phylo/treebase/phylows/study/TB2:S24096">http://purl.org/phylo/treebase/phylows/study/TB2:S24096</a>) after the publication of the manuscript.</li> <li>The FLAVi pipeline and all the original scripts are available at GitLab (<a href="https://gitlab.com/MachadoDJ/FLAVi">https://gitlab.com/MachadoDJ/FLAVi</a>).</li> <li>The web application can be accessed at <a href="http://flavi-web.com">http://flavi-web.com</a>.</li> </ul>
Supplementary material for "A drop in immigration results in the extinction of a local woodchat shrike population"
<p>Data files and code for all analyses and figures presented in the paper. The three data files are provided either in ASCII format (WoodchatCount.txt, WoodchatReproduction.txt, WoodchatCMR.txt) or in csv format (WoodchatCount.csv, WoodchatReproduction.csv, WoodchatCMR.csv). The code file (WoodchatCode.txt) is a space delineated text file. The code file is written for R, but some models are run in JAGS from R. The code file also contains the description of the data files and code for data management.</p>
Supplementary material from "Experimentally disentangling intrinsic and extrinsic drivers of natal dispersal in a nocturnal raptor"
<p><strong>Abstract</strong></p> <p>Equivocal knowledge of the phase-specific drivers of natal dispersal remains a major deficit in understanding causes and consequences of dispersal and thus, spatial dynamics within and between populations. We performed a field experiment combining partial cross-fostering of nestlings and nestling food supplementation in little owls (<em>Athene noctua</em>). This approach disentangled the effect of nestling origin from the effect of the rearing environment on dispersal behaviour, while simultaneously investigating the effect of food availability in the rearing environment. We radio-tracked fledglings to quantify the timing of pre-emigration forays and emigration, foray and transfer duration, and the dispersal distances. Dispersal characteristics of the pre-emigration phase were affected by the rearing environment rather than by the origin of nestlings. In food-poor habitats, supplemented individuals emigrated later than unsupplemented individuals. By contrast, transfer duration and distance were influenced by the birds' origin rather than by their rearing environment. We found no correlation between timing of emigration and transfer duration or distance. We conclude that food supply to the nestlings and other characteristics of the rearing environment modulate the timing of emigration, while innate traits associated with the nestling origin affect the transfer phases after emigration. The dispersal behaviours of juveniles prior and after emigration, therefore, were related to different determinants, and are suggested to form different life-history traits.</p>
Estimation and mapping of the material stocks of buildings of Europe
<p>This data repository includes the results of the paper:<strong> Estimation and mapping of the material stocks of buildings of Europe: a novel nighttime lights-based approach</strong></p> <p>Link to the paper: <a href="https://doi.org/10.1016/j.resconrec.2021.105509">https://doi.org/10.1016/j.resconrec.2021.105509</a></p> <p>The data layers are in the high resolution of individual NLCs (Nighttime Light Cells) and aggregated to the standardized spatial units of NUTS2, NUTS3, and 47 countries and territories in Europe.</p> <p>Refer to SI Codebook.xls for details of the different fields within each layer.</p>
Supplementary material (aggregated data set): Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405
<p><strong>Meal choice at two university canteens in a field experiment during 12 weeks: aggregated menu sales data</strong></p> <p>How do canteen visitors respond to a revised offer of meat-based and plant-based meals? Selected innovations were simultaneously implemented and tested in a trans­disciplinary field experiment in two university canteens over a 12-week period in the autumn semester 2017. Throughout this time, the meat dishes and ‘veg-meals’ (ovo-lacto-vegetarian and vegan meals) were randomly distributed among the three menu lines, the veg-meals were not marketed and advertised as such and the previous vegetarian menu line was abolished. Weeks where the usual number of meat dishes were on offer (the ‘base weeks’) alternated with weeks where the share of veg-meals was increased (the ‘intervention weeks’). <br> The field experiment did not have a negative impact on the number of meals sold or the turnover compared to the two previous years. Women choose meat dishes less often than men. This connection applies in the base weeks and intervention weeks, in all age groups, among both students and among staff. Remarkably, the share of (non-labelled) vegan dishes is comparable for women and men over all age groups, independent of university affiliation (student, staff). Authentic vegan dishes were particularly welcome. Veg-meals could also be sold on the more expensive menu line. There was a better correlation between meal choice, eating habits and attitudes (health, environment, animal welfare, social aspects) than expected. <br> One quarter of canteen visitors show ‘veg-oriented’ eating habits and three quarters thereof ‘meat-oriented’ eating habits. Only a minority of potential visitors eat regularly at the canteen, and those who do exhibit meat-oriented eating habits more often. We conclude, therefore, that the canteen’s usual menu offer is primarily aimed at visitors with meat-oriented eating habits at lunchtime. The most typical visitors to the canteen are male students who select meat dishes.<br> It has been shown, therefore, that the simultaneous changes in supply have worked. Veg-meals are preferred, particularly by women and those prone to flexitarian eating habits; however, also the canteen visitors with meat-oriented eating habits chose veg-meals during the intervention weeks. Catering in canteens has the great potential to expand the range of veg-meals at the expense of meat dishes, provided that the culinary quality is of a high enough standard and meals are not offered as vegetarian or vegan. The question arises as to whether canteens are not missing an economic opportunity if they only offer traditional meat dishes? Canteens are perfectly suited as real-world laboratories in which innovations for sustainable catering can be tried out. The field experiment in the two university canteens is a start; further experiments are needed.</p> <p><strong>The data set contains more than <em>26'000</em> aggregated menu sales. The analyses and results are summarized in the working paper No. 5 <a href="https://doi.org/10.21256/zhaw-1405">https://doi.org/10.21256/zhaw-1405</a></strong></p> <p>The corresponding scripts are: </p> <p>- <a href="http://doi.org/10.5281/zenodo.4034686">10.5281/zenodo.4034686</a></p> <p>- <a href="http://doi.org/10.5281/zenodo.4034698">10.5281/zenodo.4034698</a></p> <p>- <a href="http://doi.org/10.5281/zenodo.4244258">10.5281/zenodo.4244258</a> (newer Version)</p> <p>For more information visit the <a href="http://novanimal.ch">novanimal.ch</a> website.</p>
Supplementary material (ubp & gwp data set): Egeler, G.-A., von Rickenbach, F., & Baur, P. (2020). Menüwahl in der Hochschulmensa: Design & Durchführung Feldexperiment (NOVANIMAL Kurzbericht). ZHAW. https://doi.org/10.21256/zhaw-1408
<p>Calculation of the greenhouse warming potential (gwp) and environmental impact points (UBP, Umweltbelastungspunkte) of 93 meals served on the fieldexperiment in the NOVANIMAL Project. Results of the fieldexperiment see here:</p> <p><a href="https://zenodo.org/deposit/4115429">Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405</a></p> <p> </p>
Supplementary material (ebp data set): Egeler, G.-A., von Rickenbach, F., & Baur, P. (2020). Menüwahl in der Hochschulmensa: Design & Durchführung Feldexperiment (NOVANIMAL Kurzbericht). ZHAW. https://doi.org/10.21256/zhaw-1408
<p>Calculation of the nutrient balance score of 93 meals served on the fieldexperiment in the NOVANIMAL Project: According two different methods: EBP and Teller Modell. Results of the fieldexperiment see here:</p> <p><a href="https://zenodo.org/deposit/4115429">Egeler, G.-A. & Baur, P. (2020). Menüwahl in der Hochschulmensa: Fleisch oder Vegi? Ergebnisse eines 12-wöchigen Feldexperiments (NOVANIMAL Working Paper No. 5). ZHAW. https://doi.org/10.21256/zhaw-1405</a></p>
Material Particulado de 10 Estaciones en la Mina de Cerrejón, La Guajira, Colombia
<p>Datos de material particulado de 10 de las estaciones Provincial, Barrancas y Sol y Sombra, y la producción de carbón registrada desde el 2010-2019 en Cerrejón la Guajira, Colombia</p>
Supplementary material for the publication: J.D. Nixon, K. Bhargava and E. Gaura, Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps, 2020
<p>The dataset deposited here was prepared under the EPSRC-funded <a href="http://heed-refugee.coventry.ac.uk/">Humanitarian Engineering and Energy for Displacement</a> research project (EP/P029531/1). The project aimed to understand energy needs of displaced communities, create an evidence base on the usage of different energy interventions and provide recommendations for improved design of future energy interventions to better meet the needs of people. </p> <p>As part of the project, we deployed a Standalone Solar System for a Community Hall in Nyabiheke camp, Rwanda, and a PV-battery Microgrid in Kigeme camp, Rwanda. The microgrid supplies power to a playground and two nursery buildings. It powers a total of 20 CPE (each with 3 LEDs) and 10 sockets. The standalone system at Hall powers 7 CPE (with 3 LEDs each) and 4 sockets. The aim of the study was to (a) understand the energy consumption behaviour, light usage and other enabled uses within the set location in each camp (b) create an evidence base on the value of energy and its benefits in displaced contexts (c) identify best practice in the construction, control and operation of the respective systems as a shared energy resource.</p> <p>The system data used for the performance analysis for this study (July 2019 and March 2020) is deposited here along with the metadata. The results from analysis are presented in a paper titled '<strong>Energy Performance Gap in Community-Based Solar Energy Interventions: Lessons from two Rwandan Refugee Camps</strong>' (currently under submission). The scripts for analysis can be found at our Github account <a href="https://github.com/cogent-computing">Cogent Labs</a> under HEED-Microgrid and HEED-Hall repositories.</p>
The ecological niche and distribution of Neanderthals during the Last Interglacial [supplementary materials]]
<p>Supplementary material of the paper: Benito, B.M., Svenning, J.‐C., Kellberg‐Nielsen, T., Riede, F., Gil‐Romera, G., Mailund, T., Kjaergaard, P.C. and Sandel, B.S. (2017), The ecological niche and distribution of Neanderthals during the Last Interglacial. J. Biogeogr., 44: 51-61. <a href="https://doi.org/10.1111/jbi.12845">https://doi.org/10.1111/jbi.12845</a></p> <p>Files:</p> <p>- average_habitat_suitability.tif: geotif file describing the average habitat suitability (computed from a large ensemble of small models) for Homo neanderthalensis during the last interglacial.</p> <p>- standard deviation.tif: geotif with the standard deviation of the ensemble of small models mentioned above. Large values indicate a low consensus among models, while small values indicate a high consensus among models.</p> <p>- suitability_and_deviation.pdf: plot of the two previous maps blended through "whitening". Colors indicate habitat suitability, while "whitening" indicates higher standard deviation (lack of consensus).</p> <p>- neanderthal_eemian_sites_Appendix_I.xlsx: input dataset used to fit the models.</p>
Supplementary material for "Song et al., Modelling Simul. Mater. Sci. Eng., 2021: Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies"
<p>This zip archive contains supplementary material in the form of datasets and jupyter notebooks that are used in the following publication:</p> <ul> <li>authors: Hengxu Song, Nina Gunkelmann, Giacomo Po, and Stefan Sandfeld</li> <li>journal: Modelling Simul. Mater. Sci. Eng.</li> <li>year: 2021</li> <li>title: Data-mining of dislocation microstructures: concepts for coarse-graining of internal energies</li> </ul>
Data and materials from: "Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation"
<p>This repository contains materials and data used and described in:</p> <p><strong>Sanchez-Lopez, R., Fereczkowski, M., Santurette, S., Dau, T., Neher, T. (2021). Towards Auditory Profile-based Hearing-aid Fitting: Fitting Rationale and Pilot Evaluation. <em>Audiol. Res.</em> 11, no. 1: 10-21. <a href="https://doi.org/10.3390/audiolres11010002 ">https://doi.org/10.3390/audiolres11010002 </a></strong></p> <p> </p> <p><strong>Abstract</strong></p> <p><strong>Background</strong> - The clinical characterization of hearing deficits for hearing-aid fitting purposes is typically based on the pure-tone audiogram only. In a previous study, a group of hearing-impaired listeners completed a comprehensive test battery designed to tap into different dimensions of hearing abilities. A data-driven analysis of the data yielded four clinically relevant patient subpopulations or “auditory profiles”. The purpose of the current study was to propose and pilot-test profile-based hearing-aid settings to explore their potential for providing more targeted hearing-aid treatment.<br> <strong>Methods </strong>- Four candidate hearing-aid settings were developed and evaluated by a subset of the participants tested previously. The evaluation consisted of multi-comparison preference ratings carried out in realistic sound scenarios.<br> <strong>Results </strong>- Listeners belonging to the different auditory profiles showed different patterns of preference for the tested hearing-aid settings that were largely consistent with the expectations.<br> <strong>Conclusion</strong> - The results of this pilot evaluation support further investigations into stratified, profile-based hearing-aid fitting with wearable hearing aids.</p> <p>Please cite this article when using the data</p> <p> </p> <p><strong>Description of the files:</strong></p> <ul> <li><strong>APBHAF_Audiofiles.zip: </strong>Audio files used in the SenseLabOnline environment. Each folder corresponds to one participant.</li> <li><strong>APBHAF_MUSHA.xlsx: </strong>Raw Data of the MUSHA experiment.</li> <li><strong>APBHAF_MUSHA_Analysis.R: </strong>R code for the data analysis.</li> <li><strong>MUS_SoundScenes.mat</strong>: Mat file with a structure 1x9 MUS with the raw acoustic signals before processing with the hearing-aid simulator. <ul> <li>CurrentMixture: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right.</li> <li>CurrentAnchor: matrix consisting of the simulated acoustic signal recorded by the 4 microphones of the hearing-aid satellites: 1) front-left, 2) back-left, 3) front-right, 4) back-right. The Anchor is -6 dB SNR.</li> <li>SampleLabel: Either "Kantine", "Traffic" or "Quiet"</li> <li>ConditionLabel: Either "Cond1", "Cond2" or "Cond3"</li> <li>fsmix: sampling frequency. For all signals must be 32000Hz</li> </ul> </li> <li><strong>MUSHA_Instruction: </strong>Instructions used for explaining the task and the environment.</li> </ul> <p>* The participant IDs in each of the files has been assigned randomly to ensure the anonymization of the data. The pseudo-anonymized data might be shared under request by direct correspondence with the authors.</p>
Supplementary Material: "A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data"
<p><strong>Supplementary Material</strong></p> <p>This material regards the paper entitled "<em>A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data</em>".</p> <p>The Readme.txt file explains all the contents of the data package, which consists of the data supporting the paper and the MATLAB script for the Individual Tree Detection and Measurement (ITDM).</p> <p>Please cite the related article if using the data or the script.</p> <p>Latella, M., Sola, F., & Camporeale, C. (2021). A Density-Based Algorithm for the Detection of Individual Trees from LiDAR Data. Remote Sensing, 13(2), 322.</p>
Supplementary material for "Decomposing fecundity and evaluating demographic influence of multiple broods in a migratory bird"
<p>Data and code files used in the paper. The four data files are provided in ASCII format (marr_S.TXT, broods_S.TXT, marr_G.TXT, broods_G.TXT). The code file (script_IPM_wryneck_Tenan_etal.txt) is a space delineated text file. The code file is written for R, but models are run in NIMBLE from R. The code file also contains the description of the data files and code for data management.</p>
Materials for "Poor nutritional condition promotes high-risk behaviours: A systematic review and meta-analysis"
<p>This contains a permanent record of dataset and analysis code for the study:</p> <p>Moran, N. P., Sánchez‐Tójar, A., Schielzeth, H., & Reinhold, K. (2021). Poor nutritional condition promotes high‐risk behaviours: a systematic review and meta‐analysis. <em>Biological Reviews</em>, <em>96</em>(1), 269-288.</p> <p>Full data analysis records are available on https://osf.io/3tphj/</p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 836937. Also, this research was funded by the German Research Foundation (DFG) as part of the SFB TRR 212 (NC³) – Project numbers 316099922 and 396782608.</p>
Supplementary Material for "Sequence Comparison in Historical Linguistics"
<p>This is the official version of the supplementary material which was used as the basis for the study on "Sequence Comparison in Historical Linguistics" (List, Düsseldorf, Düsseldorf University Press).</p>
Supplementary material accompanying "Factoring lexical and phonetic phylogenetic characters from word lists"
<p>This repository contains the scripts and the data that were used to run the analyses for the paper "Factoring lexical and phonetic phylogenetic characters from word lists". For details, please refer to the README.md file provided along with the dataset. If you run into problems replicating the analysis, please do not hesitate to contact the authors.</p>
HaMMLET - Supplemental Material
<p>HaMMLET is a novel type of Bayesian Hidden Markov Model, using dynamically adaptive wavelet compression for improved speedup and convergence behaviour of Forward-Backward Gibbs sampling.</p> <p>This data set contains supplemental material for HaMMLET's initial publication.</p>
Training material for ChIP-seq analysis
<p>The data provided here are part of a Galaxy tutorial that analyzes ChIP-seq data from a study published by Wu et al., 2014 (DOI:10.1101/gr.164830.113). The goal of this study was to investigate "the dynamics of occupancy and the role in gene regulation of the transcription factor Tal1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation." To this end, ChIP-seq experiments were performed in multiple mouse cell types including a G1E cell line and megakaryocytes, the two cell types represented here. The dataset contains biological replicate Tal1 ChIP-seq and input control experiments (*.fastqsanger files). Because of the long processing time for the large original files, we have downsampled the original raw data files to include only reads that align to chromosome 19 and a subset of interesting genomic loci (ChIPseq_regions_of_interest_v4.bed) pulled from the Wu et al. publication. Also included is a gene annotation file (RefSeq_gene_annotations_mm10.bed) with gene names added for viewing in a genome browser.</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.