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3,172 results for “Publications”
Data and code for publication "The long-term sea-level commitment from Antarctica"
<p>Data and scripts for assessing the long-term sea-level commitment from Antarctica </p> <p>The data and scripts are relevant for the analysis and for reproducing figures and tables presented in the following publication: </p> <p>Klose A K, Coulon V, Pattyn F, Winkelmann R, 2024, The long-term sea-level commitment from Antarctica, The Cryosphere. </p>
Complete dataset for the publication "Phage Paride can kill dormant, antibiotic-tolerant cells of Pseudomonas aeruginosa by direct lytic replication"
<p>This dataset enlists all individual datapoints shown in the publication "Phage Paride can kill dormant, antibiotic-tolerant cells of Pseudomonas aeruginosa by direct lytic replication" (https://doi.org/10.1038/s41467-023-44157-3). For detailed information regarding the individual contributions please check the "Author information" section in the publication. </p>
Code for GMD publication - Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign
<p>Code for GMD publication - <span>Introducing Graupel Density Prediction in Weather Research and Forecasting (WRF) Double-Moment 6-Class (WDM6) Microphysics and Evaluation of the Modified Scheme During the ICE-POP Field Campaign</span></p> <p>In this repository, we include the source codes for WRF microphysics parameterization used in the GMD publication "Simulated Prognostic approach of graupel density in a bulk-type cloud microphysics scheme and evaluation during the ICE-POP field campaign."</p> <p>The revised WDM6 code, which predicts the graupel density and the original WDM6 code are uploaded. </p> <p>Each code is modified so that detailed microphysical processes can be found in wrfout.</p> <p>Namelist files shows the namelist.input for each case.</p> <p>Furthermore, scripts for figures in the manuscript are included, along with wrfout files.</p>
Dataset for publication: Sustainable electrochemical synthesis of dry formaldehyde from anhydrous methanol
<p>The provided data contains the calculations and plots of the manuscript 'Selective electrocatalytic oxidation of anhydrous methanol for formaldehyde'. All experimental procedures and an in-depths analysis can be found there. (DOI: 10.1039/D3GC04978G). The data is available in .opju files (origin plots), .xlsx files (excel sheets for calculations) and both are available in the .csv format. The calculation sheets also contain the name of the corresponding raw data file.</p>
Counter DataSet Public | Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks (
<h1>Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks (Counter DataSet)</h1> <p>Official repository of Counter DataSet, the pseudoanonymized dataset for Radicalization Detection with Named Entity Recognition annotations. You can read the paper <a>here</a></p> <p>Annotated examples for every language are avilable in the folder 'Examples'.</p> <p><em><strong>WARNING: The datasets contain content that is racist, sexist, homophobic, and offensive in many other ways.</strong></em></p> <p>Training and test sets available filling in this <strong><a href="https://forms.gle/7bprpid1fFqKakrz6" target="_blank" rel="nofollow noreferrer noopener">form</a>; </strong>an email notification will be sent with instructions and details about how to download the data.</p> <p><em><strong>Please cite our paper in any published work that uses any of these resources.</strong></em></p> <div> <pre><code>@inproceedings{, title = {Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks}, author = {Arij Riabi, Menel Mahamdi, Virginie Mouilleron, Djamé Seddah}, booktitle = {Proceedings of the fifth Workshop on Privacy in Natural Language Processing}, year = {2024}, location = {Bangkok, Thailand}, }</code></pre> </div> <p><em><strong>Contact</strong></em></p> <p>If you have any questions please contact <code>djame dot seddah at inria dot fr</code> or <code>arij dot riabi at inria dot fr</code>.</p> <p>Maintainers: <code>djame dot seddah at inria dot fr</code> <code>arijriabi96 at gmail dot com</code></p> <p>https://counter-project.eu/</p> <p><code>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101021607. The contents of this website are the sole responsibility of the CounteR consortium and can in no way be taken to reflect the views of the European Union.</code></p>
MIdAS bias adjustment of extremes using Theil-Sen extrapolation: Data and plotting scripts for GMD-publication
<p>When bias adjusting climate model data using quantile mapping approaches, one needs to prescribe what to do at the tails of the distribution, where a larger range of data is likely encountered outside the calibration period. The end results is highly dependent on the method used. For the current study, submitted to the journal Geoscientific Model Development, under the name 'Robust handling of extremes in quantile mapping - "Murder your darlings"' by Berg et al. (2024), the MIdAS bias adjustment method is evaluated and extended with additional functionality to deal with issues with bias adjustment of extreme precipitation. This entry contains data for the annual precipitation sums, and annual maximum daily precipitation, for a domain over Scandinavia, including a reference data set and a large ensemble of Euro-CORDEX regional climate models before and after bias adjustment using a range of experiments, as well as scripts for analysing the data and producing the figures of the paper. Further, the entry contains the daily timeseries for the reference and climate models needed to repeat all the experiments in the paper, along with the published code for MIdAS. The readme.txt documents provides a guide to structure the data, perform the experiments and to reproduce the plots of the paper.</p>
The VISTA Variables in the Vía Láctea eXtended (VVVX) ESO public survey: Completion of the observations and legacy - Appendix A
<p><strong>Table A.1. </strong>List the VVV+VVVX tiles and observed number of epochs. We present the tile names and centre coordinates in Equatorial and Galactic systems (see Fig. A.1 at the end for the spatial distribution). Columns 6 to 8 present the number of epochs observed in J, H and Ks during the VVV and VVVX campaigns. The first number is the total of epochs, and in parentheses the number of epochs observed in VVV and VVVX, respectively.</p>
Data for Publication "Nucleation behavior of SnS2 on thiol functionalized SAMs during solution based atomic layer deposition"
<p>Raw data, reduced data and fitting scripts used to produce figures in publication "Nucleation behavior of SnS2 on thiol functionalized SAMs dur-<br>ing solution based atomic layer deposition", K.Götz et al. in Advanced Materials Interfaces (Wiley), https://doi.org/10.1002/admi.202300990.</p> <p>The data is composed in a .zip file. The zip file contains a folder for each graphic in the publication containing data. In these folders data is filed as "raw data", "reduced data" and "fit script". With the datasets and fit files contained within the .zip folder all data from the publication can be reproduced.</p> <p>The rawdata folders contain the raw data as produced from the used instrument. This consists of:</p> <ul> <li>DESY: Detector tiff images for each scattering angle</li> <li>GIWAXS: Detector tiff images, containing silver behenate measurements for distance calibration.</li> <li>XRR Inhouse: xy-ASCII files in .ras format of RIGAKU.</li> <li>AFM: .tiff image produced by PARKS Systems</li> </ul> <p>The reduced data contains xy-ASCII files of the data reduced to the form presented in the publication.</p> <p>Fit scripts contain the scripts used to fit the data. This consists of:</p> <ul> <li>.hgx files for genX for XRR fits</li> <li>a file structure with scripts to use with the DISCUS suite for the GIWAXS data</li> </ul>
Replication materials for: Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
<p>These are the replication materials for the paper:<br>Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow<br>By: Maria del Rio-Chanona, Nadzeya Laurentsyeva, and Johannes Wachs. <br>Preprint: https://arxiv.org/abs/2307.07367<br>Under Revision for PNAS Nexus</p> <p> </p>
data from past Euromomo publications recovered from Webarchive
<p>Data extracted from Web Archive past versions of Euromomo for the detection of amendments specially during the pandemic period. </p> <div>Since November 18, 2021, EuroMOMO data download was allowed. Specifically, the study focus on the mortality z-scores for all ages aggregated for each reporting country. We have accessed the site versions of the first day of the month since December 2021 until October 2023, downloading a total of 25 data samples.</div> <div> </div> <div>This data is the basis for a paper that has been submitted to various journals which have turned it out without review.</div>
Data and Codes for Publication: "Sexually Dimorphic Computational Histopathological Signatures Prognostic of Overall Survival in High-Grade Gliomas via Deep Learning"
<p><strong>Data</strong></p> <p>The patches and the associated tumor segmentation labels (expert-vetted) from our analysis are available in Patches.pytable file.<br><br><strong>Codes<br><br></strong>The codes for training tumor segmentation models and conducting survival analysis are available in the following files</p> <ul> <li>ResNet-train: Code to train Resnet18 model for Tumor Segmentation</li> <li>Tumor_Segmentation: Code to segment tumor regions from WSI using ResNet18 model</li> <li>ResNet_Cox_train: Code to train ResNet-Cox model in 5 folds cross-validation setting</li> <li>Evaluate_ResNetCox: Code to evaluate ResNet-Cox model</li> </ul>
Raw Data for Publication "Earth observations reveal impacts of climate variability on maize cropping systems in Sub-Saharan Africa"
<p>Phenological metrics extracted for all agricultural fields used in the study. Data also includes the coordinates of the fields.</p>
Dataset for Marine Geology publication "Estimation of turbidite source area in late Pleistocene to Holocene around Kikai Island based on mineral and biogenic calcium carbonate composition"
<p>This dataset is associated with the academic paper published in "Estimation of turbidite source area in late Pleistocene to Holocene around Kikai Island based on mineral and biogenic calcium carbonate composition" For details of the paper, please refer to the link below.<br><a href="https://doi.org/10.1016/j.margeo.2025.107593">https://doi.org/10.1016/j.margeo.2025.107593</a></p> <p> </p>
Dataset for Publication "Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia"
<p>This is the dataset presented in:</p> <p>Alves, E. G., Tóta, J., Turnipseed, A., Guenther, A. B., Vega Bustillos, J. O. W., Santana, R. A., Cirino, G. G., Tavares, J. V., Lopes, A. P., Nelson, B. W., de Souza, R. A., Gu, D., Stavrakou, T., Adams, D. K., Wu, J., Saleska, S., and Manzi, A. O.: Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia, Biogeosciences, 15, 4019–4032, https://doi.org/10.5194/bg-15-4019-2018, 2018.</p>
SUSTAINABILITY CLAUSES IN PRIVATE AND PUBLIC CONTRACTS: THE AFTERMATH OF CSDDD
<p><em>On 12 July 2024, SAPIENS Network Early Stage Researcher Ezgi Uysal held a scientific webinar titled "SUSTAINABILITY CLAUSES IN PRIVATE AND PUBLIC CONTRACTS: THE AFTERMATH OF CSDDD." </em></p> <p><em>The webinar featured prominent speakers:</em></p> <ul> <li><em><strong>Kateřina Mitkidis</strong>, a professor at Aarhus University specializing in environmental law, sustainable development, and international business contracts, discussed sustainability clauses in supply chains and strategies for mitigating plastic pollution.</em></li> <li><em><strong>Daniel Schönfelder</strong>, the European Legal Advisor for the Responsible Contracting Project, focused on drafting and disseminating sustainability clauses tailored to the German and European contexts and implementing the German Supply Chain Due Diligence Act.</em></li> <li><em><strong>Martijn Scheltema</strong>, a professor of private law at Erasmus University Rotterdam and partner at Pels Rijcken, explored the enforcement of sustainability considerations in contracts and the development of European Model Contract Clauses.</em></li> </ul> <p><em>Ezgi Uysal, a PhD Researcher at the University of Turin and an Early Stage Researcher at the SAPIENS Network, discussed monitoring and enforcing sustainability clauses in public procurement contracts, the interplay between contract law and public procurement law, and the Corporate Sustainability Due Diligence Directive (CSDDD).</em></p> <p><em>The focus of the webinar was on the incorporation and enforcement of sustainability considerations in contracts, sustainable public procurement under the EU legal framework, and the need for effective contract management. The discussions highlighted new European contract clauses developed for corporate sustainability and the critical interplay between public procurement law and corporate sustainability due diligence. This webinar is particularly relevant for students, newcomers to public procurement, and professionals interested in understanding the latest legal mechanisms for promoting sustainability in supply chains.</em></p>
Source data for figures in the main text of the publication: "Iron-catalyzed cooperative red-ox mechanism for the simultaneous conversion of nitrous oxide and nitric oxide"
<p>Source data for figures 2, 4, 5 and 6 present in the main text of the manuscript titled: "Iron-catalyzed cooperative red-ox mechanism for the simultaneous conversion of nitrous oxide and nitric oxide"</p>
Dataset for Publication: Industrially Relevant Conditions in Lab-Scale Analysis for Alkaline Water Electrolysis
<p>The provided data contains the calculations and plots of the manuscript 'Industrially Relevant Conditions in Lab-Scale Analysis for Alkaline Water Electrolysis'. All experimental procedures and an in-depths analysis can be found <a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/full/10.1002/celc.202300432">there</a>. (DOI: <a href="https://doi.org/10.1002/celc.202300432">10.1002/celc.202300432 )</a>. The data is available in .opju files (origin plots), .xlsx files (excel sheets for calculations) and in the .csv format. </p>
Analysis of public views of the motor vehicle financing services information system
<p><span>The survey method was used to collect quantitative data from a sample of the public through a questionnaire. The questionnaire method was used to collect data from a larger sample of the public through a questionnaire. The population of this study comprised the people of Jakarta who use motor vehicles. The population size was estimated to be 20,049,595 people, based on data from the Badan Pusat Statistik and Indonesiadata.id. The minimum sample size for this study was 399 respondents. The respondents were selected from among those who use motor vehicles and those who use motor vehicle financing services.</span></p>
Moonshot: Public R&D and Growth - patent text files
<p>This data deposit is include USPTO full-text patent files as used in the analysis contained in Kantor and Whalley (2024) "Moonshot: Public R&D and Growth". Each file contains the full-text for the patent indicated in the file name.</p>
RT PCR data for publication Transplantation of neural stem cells improves recovery of stroke affected mice and induces cell-specific changes in GSDMD and MLKL expression
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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.