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3,172 results for “Publications”
Dataset of publication: Deposit-feeding of Nonionellina labradorica (foraminifera) from an Arctic methane seep site and possible association with a methanotroph
<p>This file contains all TEM (Transmission Electron Microscopy) images of the foraminifera <em>N. labradorica </em>(foraminifera)<em> </em>used in a feeding experiment for the publication DOI: https://doi.org/10.5194/bg-2021-284</p> <p>Samples were collected at Gas Hydrate Pingo 3 (GHP3), app. 50 km south of Svalbard at 382m water depth at the mouth of Storfjordrenna, Barents Sea. Blade corer (BLC18) used for sampling was taken at following location 76°6'23.7"N 15°58'1.7"E.</p> <p> </p> <p> </p> <p>After sampling a feeding experiment was performed using the marine methanothroph<em> Methyloprofundus sedimenti</em>. More details can be fount in the methods paper. The file contains</p>
Orignal data for publication: Probing traps in the persistent phosphor SrAl2O4:Eu2+,Dy3+,B3+ - A wavelength, temperature and sample dependent thermoluminescence investigation
<p>Original Data for publication (part of University of Geneva):</p> <p>Probing traps in the persistent phosphor SrAl2O4:Eu2+,Dy3+,B3+ - A wavelength, temperature and sample dependent thermoluminescence investigation<br> Jakob Bierwagen, Teresa Delgado, Guillaume Jiranek, Songhak Yoon, Nando Gartmann, Bernhard Walfort, Markus Pollnau , Hans Hagemann,<br> J. Lumin. 222 (2020) 117113.</p>
Original data for publications: Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte, Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications, Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2
<p>Original data for the following papers (Only part of University of Geneva, synthesis part):</p> <p>Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte<br> Gigante, A.; Duchêne, L.; Moury, R.; Pupier, M.; Remhof, A.; Hagemann, H.<br> ChemSusChem 2019, 12, 4832-4837</p> <p>Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications<br> Romain Moury, Angelina Gigante, Arndt Remhof, Elsa Roedern and Hans Hagemann<br> Dalton Trans., 2020,49, 12168-12173, https://doi.org/10.1039/D0DT02170A</p> <p>Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2<br> Angelina Gigante, Noemi Leick, Andrew S. Lipton, Ba Tran, Nicholas A. Strange, Mark Bowden, Madison B. Martinez, Romain Moury, Thomas Gennett, Hans Hagemann, and Tom S. Autrey<br> ACS Appl. Energy Mater. 2021, 4,3737-3747. https://doi.org/10.1021/acsaem.1c00159</p> <p> </p>
Original data for publication: Luminescence spectroscopy of CaAl12O19:Eu3+ and SrAl12O19:Eu3+ nanoparticles
<p>Original data for publication:</p> <p>Luminescence spectroscopy of CaAl12O19:Eu3+ and SrAl12O19:Eu3+ nanoparticles<br> Jafar Afshani, Teresa Delgado, Gheorghe Paveliuc, Hans Hagemann, Journal of Luminescence 246 (2022) 118805.</p>
Original data for publications: Study of the Temperature- and Pressure-Dependent Structural Properties of Alkali Hydrido-closo-borate Compounds, and: Pressure-induced phase transitions in Na2B12H12, structural investigation on a candidate for solidstate electrolyte
<p>Original data for publications (part of University of Geneva only):</p> <p>Study of the Temperature- and Pressure-Dependent Structural<br> Properties of Alkali Hydrido-closo-borate Compounds<br> Inorg. Chemistry 2022 61, 5224-5233, <br> https://doi.org/10.1021/acs.inorgchem.1c03681</p> <p>Pressure-induced phase transitions in Na2B12H12,<br> structural investigation on a candidate for solidstate electrolyte<br> Acta Cryst. B 2019 B75 406-413<br> https://doi.org/10.1107/S2052520619004670</p> <p> </p>
Original data for publication: Fundamental Loading-Curve Characteristics of the Persistent Phosphor SrAl2O4:Eu2+,Dy3+,B3+: The Effect of Temperature and Excitation Density
<p>Data for the paper:</p> <p>Teresa Delgado, Nando Gartmann, Bernhard Walfort, Fabio LaMattina, Markus Pollnau, Arnulf Rosspeintner, Jafar Afshani, Jacob Olchowka, Hans Hagemann<br> Fundamental Loading-Curve Characteristics of the Persistent Phosphor SrAl2O4:Eu2+,Dy3+,B3+: The Effect of Temperature and Excitation Density<br> Advanced Photonics Research, 2022, 3, 2100179, https://doi.org/10.1002/adpr.202100179</p>
Original data for publications: Synthesis, Characterization, and Crystal Structures of Two New Manganese Aceto EMIM Ionic Compounds with Chains of Mn2+ Ions Coordinated Exclusively by Acetate, and: Fe4(OAc)10[EMIM]2: Novel Iron-Based Acetate EMIM Ionic Compound
<p>Origianl data for publications (Part of University of Geneva only):</p> <p>Synthesis, Characterization, and Crystal Structures of Two New Manganese Aceto EMIM Ionic Compounds with Chains of Mn2+ Ions Coordinated Exclusively by Acetate<br> Przemyslaw Dera, Edward Bruffey III, Gregory J. Finkelstein, Colleen Kelly, Angelina Gigante, Hans Hagemann, and Godwin Severa<br> ACS Omega 2020, 5, 25, 15592-15600</p> <p>Fe4(OAc)10[EMIM]2: Novel Iron-Based Acetate EMIM Ionic Compound<br> Godwin Severa, Edward Bruffey, Phuong Q. H. Nguyen, Angelina Gigante, Noemi Leick, Colleen Kelly, Gregory J. Finkelstein, Hans Hagemann, Thomas Gennett, Richard E. Rocheleau, and Przemyslaw Dera,<br> ACS Omega 2021, 6, 31907-31918.</p> <p> </p> <p> </p>
Open Access Publication of Public Health Research in African Journals: Dataset
<p>This study explored the open publishing practices of African journals expected to publish articles on Public Health.</p>
Experimental data linked to publication "Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)"
<p>Those are all the experimental data used to produce the plots in the article</p>
PROBA2/LYRA and ionosonde data supporting a publication
<p>PROBA2/Lyra data is used to produce profiles in Figure 7.</p> <p>Ionosonde data from Idaho (IF) and Millshotne Hill (MHJ) were used to produce Figure 11.</p> <p>All data files are in ascii format, with a self-explained format.</p>
Dataset for publication: EMPIR_19ENG02_PartialDischargeChargeEstimationInGasInsulatedSubstationsUsingElectricandMagneticAntennasData
<p>Dataset for the conference paper entitled: Partial Discharge Charge Estimation In Gas-Insulated<br> Substations Using Electric and Magnetic Antennas</p>
Dataset underlying the Report of the Publication Analysis GOAL
<p>The swissuniversities-funded project GOAL (Unlocking the Green Open Access PotentiaL in scholarly and professional journals in Switzerland) aims to negotiate second publication policies with editors of practice-oriented journals, which are central for members of universities of applied sciences and universities of teacher education. As a first step, an analysis of the publication output of the largest universities of applied sciences and universities of teacher education in Switzerland for the years 2017-2021 was carried out to find out in which journals they publish most frequently. The data set complements the results of the publication analysis already prepared and published in 2020 as part of the OA-EASI project (Open Access for Educational and Applied Sciences).</p>
FESOM model data and particle tracking data used in publication 'Cross-shelf transport of Barents Sea dense water as a sink for CO2 in the Arctic Ocean'
<p>FESOM model data and particle tracking data used in the paper 'Cross-shelf transport of Barents Sea dense water as a sink for CO2 in the Arctic Ocean" by Andreas Rogge at al.</p> <p>1) FESOM velocity fields averaged over the top 200 m water depth, averaged over the time period 2015-2018.</p> <p>2) FESOM transect at 95°E in the Arctic Ocean (temperature, salinity and velocity), averaged over the time period 2015-2018.</p> <p>3a) Particle back-tracking data based on daily FESOM velocity fields in netcdf format. Particles were released at 95°E every 14 days during the year 2018 and tracked until they reached the surface. Three different constant sinking velocities were used, representative for small and large non-ballasted particles and small ballasted particles.</p> <p>3b) Distribution of particles at the surface for the experiments with three different sinking velocities as mat files. </p>
Formatted Public GWAS Summary Statistics for 16 Traits and LD pruned SNP sets
<p>This data set includes 16 files with formatted GWAS summary statistic and a csv file gwas_info.csv. The csv provides the original download link and publication for each study. The data in this repository were created by downloading raw summary statistics for each study and processing them using Joe Marcus' GWAS pipeline (https://github.com/jhmarcus/gwass). The resulting data set have consistent allele orientation and column headers making them convenient for analysis. We use them in an MR analysis of pairs of GWAS traits described in Section 2.3 of Morrison et al (2019) (https://www.biorxiv.org/content/10.1101/682237v3) and here https://jean997.github.io/cause/gwas_pairs.html.</p> <p>New Sep 2022: I have added LD pruned SNP sets for each pair of traits.For each exposure/outcome pair, the set of snps in</p> <p>snps_<exposure>__<outcome>.txt</p> <p>were generated by LD pruning using LD estimated using LD Shrink (available https://zenodo.org/record/1464357/) at a threshold of r^2 < 0.1. LD pruning was performed using the ld_prune function in the cause R package (github.com/jean997/cause). These are the SNP sets used in the analysis in the paper</p>
Supplemental material for the paper entitled "Estimating and planning hospital costs of public hospitals in Brazil"
<p>[xlsx] Stepdown cost accounting (SDCA) for estimating cost on hospitals network;</p> <p>[xlsx] Factor analysis for estimating hospital costs based on few operations variables.</p> <p>[xlsx] Cost Components and Care Modules approaches - results for each hospital of the network.</p> <p>[zip] Simulation-optimisation algorithm and models.</p> <p>[zip] Results from simulation-optimisation model.</p>
Collection of Extracted Data as part of the Publication "(Why) Do Taint Analyzers Fail in Practice? A Critical Literature Review"
<p>This document provides an extensive list of the data extraction process for the systematic literature review. This anonymous version is review-friendly for double-blinded peer reviews.</p>
Manually verified publication prediction dataset.
<p>Includes the clinical trial identifiers with publication status decisions sourced from three studies:</p> <p>- Joseph S Ross, Tony Tse, Deborah A Zarin, Hui Xu, Lei Zhou, and Harlan M Krumholz. Publication of NIH funded trials registered in clinicaltrials. gov: cross sectional analysis. BMJ, 344, 2012.</p> <p>- Adam G Dunn, Enrico Coiera, and Florence T Bourgeois. Unreported links between trial registrations and published articles were identified using document similarity measures in a cross-sectional analysis of ClinicalTrials. gov. Journal of clinical epidemiology 95: 94-101, 2018.</p> <p>- Deborah A Zarin, Tony Tse, Rebecca J Williams, Robert M Califf, and Nicholas C Ide. The ClinicalTrials. gov results database—update and key issues. New England Journal of Medicine 364, no. 9: 852-860, 2011.</p> <p>The authors of the studies have agreed with the publication of this dataset.<br> </p>
Forecasting the publication and citation outcomes of Covid-19 preprints
<p>The scientific community reacted quickly to the <em>Covid-19</em> pandemic in 2020, generating an unprecedented increase in publications. Many of these publications were released on preprint servers such as <em>medRxiv</em> and <em>bioRxiv</em>. It is unknown however how reliable these preprints are, and if they will eventually be published in scientific journals. In this study, we use crowdsourced human forecasts to predict publication outcomes and future citation counts for a sample of 400 preprints with high <em>Altmetric</em> scores. Most of these preprints were published within one year of upload on a preprint server (70%), and 46% of the published preprints appeared in a high-impact journal with a Journal Impact Factor of at least 10. On average, the preprints received 162 citations within the first year. We found that forecasters can predict if preprints will be published after one year and if the publishing journal has high impact. Forecasts are also informative with respect to preprints' rankings in terms of <em>Google</em> <em>Scholar</em> citations within one year of upload on a preprint server. For both types of assessment, we found statistically significant positive correlations between forecasts and observed outcomes. While the forecasts can help to provide a preliminary assessment of preprints at a faster pace than the traditional peer-review process, it remains to be investigated if such an assessment is suited to identify methodological problems in pre-prints. </p>
anonymized author dataset from the publication "Impact of the COVID-19 pandemic on publishing in astronomy in the initial two years"
<p>We provide the anonymized author dataset that was prepared for the research presented in <a href="https://arxiv.org/pdf/2203.15621.pdf">https://arxiv.org/pdf/2203.15621.pdf</a> . The data is provided as two pickled pandas data frames. The first data frame contains the number of publications each author has written in each year per author position (as 1st author etc.) and their assigned gender. The second file contains the corresponding country of affiliation for each author and year. The two data frames can be matched by author_id.</p> <p>Columns in "matched_author_dataset_publication_counts_zenodo.pkl":</p> <pre>['author_id', 'gender', 'P(gender)', 'pub1_tot', 'first_auth_pub_year', 'pub2_tot', 'auth_2_pub_year', 'pub3_tot', 'auth_3_pub_year', 'pub4_tot', 'auth_4_pub_year', 'pub5_tot', 'auth_5_pub_year', 'pub6_tot', 'auth_6_pub_year', 'pub7_tot', 'auth_7_pub_year', 'pub8_tot', 'auth_8_pub_year', 'pub9_tot', 'auth_9_pub_year', 'pub10_tot', 'auth_10_pub_year', 'pub11_tot', 'auth_11_pub_year', 'pub12_tot', 'auth_12_pub_year', 'pub13_tot', 'auth_13_pub_year', 'pub14_tot', 'auth_14_pub_year', 'pub15_tot', 'auth_15_pub_year', 'pub16_tot', 'auth_16_pub_year', 'tot_pub', 'tot_pub_year', 'last_pub', 'first_pub']</pre> <p>'author_id' is a unique id assigned to the author. 'gender' contains the author's most likely gender and 'P('gender')' the likelihood of correct assignment. 'pubX_tot' contains the total number of publications the author has written as Xth author, 'auth_X_pub_year' contains a list with one entry per year from 1950 to 2022 counting the number of papers the author has published as Xth author in that year. 'tot_pub' counts the total number of publications (summed over all years) and 'tot_pub_year' for each year/ 'last_pub' and 'first pub' contain the list indices of the years when the author last/first published.</p> <p>Columns in author_dataframe_country.pkl:</p> <pre>['author_id', 'aff_year', 'aff_country_author']</pre> <p>'aff_year' is a list of years for which country information could be inferred for this author. 'aff_country_author' is a list of countries for each entry in 'aff_year'.</p> <p> </p>
Dataset related to the publication "New Technique for Probing the Protecting Character of the Solid Electrolyte Interphase as a Critical but Elusive Property for Pursuing Long Cycle Life Lithium-Ion Batteries"
<p>The formation of a protecting nano-layer, so-called Solid Electrolyte Interphase (SEI), on the negative electrode of Li-ion batteries (LIBs) from product precipitation of the cathodic decomposition of the electrolyte is a blessing since the electrically-insulating nature of this nano-layer protect the electrode surface preventing continuous electrolyte decomposition and enabling the large nominal cell voltage of LIBs, e.g. 3.3 – 3.8 V. Thus, the protecting performance of the nano-layer SEI is essential for LIBs to achieve long cycle life. Unfortunately, evaluation of this critical property of the SEI is not trivial. Herein, a new, cheap and easily-implementable methodology is presented to estimate the protecting quality of the SEI; the redox-mediated enhanced coulometry. The key element of the methodology is the addition of a redox-mediator in the electrolyte during degassing step (after the SEI formation cycle). The redox-mediator leads to an internal self-discharge process that is inversely proportional to the protecting character of the SEI. And the self-discharge process results in an easily-measurable decrease in coulombic efficiency. The influence of vinylene carbonate as electrolyte additive in the resulting SEI is used as case study to showcase the potential of the proposed methodology</p>
ScienceDex guides
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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.