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794 results for “publishing”
Missing Citations in COCI: Publishers Analytics Result
<p>This dataset contains a JSON file containing the results retrieved through the<a href="http://doi.org/10.5281/zenodo.4735621"> software developed by the authors</a>. We opted for JSON file format to store the obtained data, since this format allows the storage of heterogeneous information in a complex and structured way. The four main structures stored in the present file are: </p> <p>1) "publishers", a list of dictionaries representing each publisher encountered;</p> <p>2) "citations", a dictionary containing two lists, the one storing the validated citational data and the other storing the still invalid citational data. Each processed citation is represented as a dictionary. </p> <p>3) "total_num_of_valid_citations", whose value is the number of citational data that could be validated throughout the process implemented by our software.</p> <p>4) "external_data_for_unrecognized_prefixes": a dictionary of dictionaries representing the publishers we didn't find on Crossref, but that were identified through other online services. </p> <p>We used as input material open data from the dataset “<a href="http://doi.org/10.5281/zenodo.4625300">Citations to invalid DOI-identified entities obtained from processing DOI-to-DOI citations to add in COCI</a>”. </p>
Eurodoc Survey on Publishing in Open Science 2020
<p>The Eurodoc Survey on Publishing in Open Science 2020 was a survey launched to collect data and the state-of-art about Open Science and publishing platform, realised by Eurodoc within the 'Open Research Europe' (ORE) project. ORE is an open access<br> Publishing Platform for Horizon 2020 beneficiaries offering rapid publication of a wide range of article types without editorial bias.</p> <p>All articles benefit from transparent peer review and will be published under an open license. ORE is a significant step towards Open Science in Europe. Eurodoc, as an expert partner in the project, will ensure that the voice of early-career researchers is heard.</p> <p>This survey aims to provide the ORE project team with insights related to awareness, perception and experience with open practices and tools, from the perspective of doctoral candidates and junior researchers. Survey results and the underlying data are published in F1000: https://f1000research.com/articles/10-1306/v1. </p> <p><strong>About Eurodoc</strong></p> <p><a href="http://www.eurodoc.net/">Eurodoc</a>, the European Council of <a href="http://www.eurodoc.net/sites/default/files/attachments/2017/133/defining-doctoral-candidates-and-doctoral-trainingmay2012.pdf">Doctoral Candidates</a> and <a href="http://www.eurodoc.net/sites/default/files/attachments/2017/133/eurodoc2017-juniorresearchersdefinitionandchallenges.pdf">Junior Researchers</a>, is a grassroots federation of national associations of early career researchers (ECRs) from European countries. Eurodoc was founded in 2002 and then established in 2005 as a non-profit, international volunteer organisation based in Brussels. As representatives of ECRs at European level, we engage with all major stakeholders in research and innovation in Europe. Eurodoc primarily focuses and advocates for <a href="http://www.eurodoc.net/sites/default/files/attachments/2017/133/defining-doctoral-candidates-and-doctoral-trainingmay2012.pdf">doctoral candidates</a> and <a href="http://www.eurodoc.net/sites/default/files/attachments/2017/133/eurodoc2017-juniorresearchersdefinitionandchallenges.pdf">junior researchers</a><a href="http://eurodoc.net/eurodoc/mission-and-vision#_ftn1"><sup>[1]</sup></a>, that is, researchers at <a href="https://euraxess.ec.europa.eu/europe/career-development/training-researchers/research-profiles-descriptors">R1 and R2 stages.</a></p>
Digital publishing of Indic manuscripts and inscriptions using the READ Workbench corpus development, research and publishing framework
<p>Paper presented on Friday 11 June 2021 at the Digital Medievalist Global Symposium <em>The past, present, and future of Digital Medieval Studies</em> for the Asia & Oceania Panel, in the session Reading Indic and Japanese scripts.</p> <p> </p>
'Opening the Future' - a new funding model for open-access monographs: introducing an innovative approach to publishing OA books through library membership funding
<p>We showcase a collaborative pilot case study that implements an innovative open access revenue model at the Central European University Press and Liverpool University Press, with assistance from the COPIM Project (Community-led Open Publication Infrastructures for Monographs). Building on existing library subscription models (e.g. OBP, punctum), this is a sustainable OA publishing model that gives library members access to a highly-regarded backlist, with the membership fees then used to make the frontlist openly accessible.<br> Given the current global library environment and existing budget pressures that have been exacerbated by Covid-19, a consortial model of funding promises a cost-effective solution for OA that means no single institution bears a disproportionate burden. This model, then, appeals to both those who wish to pay for subscription-access content (more traditional university acquisition models) and those who support OA initiatives. It brings many institutions together under one roof for an affordable route to open access books.<br> Library members get access to a selection of the publishers’ backlists, DRM free and with perpetual access after three years. In return, the membership revenue is used to make newly-published books openly accessible to anyone with an internet connection.<br> We believe Opening the Future is a trailblazer in scholarly comms, offering a viable and affordable route to OA change for small/medium university presses and which appeals to libraries of all sizes and budgets. We aim to open up research for the public good. The model that we are piloting reduces inequalities in access to open access publication by eradicating exclusionary book processing charges (BPCs).<br> As we progress with the pilot, we are writing up everything we’ve done to implement the model and will release this and any software as a free toolkit, so that other publishers can use it and also take the leap.</p>
SeisSol input files of the dynamic rupture scenarios of the 2004 Sumatra-Andaman earthquake published in Ulrich et al. (2021)
<p>This dataset contains the input files of the dynamic rupture scenarios of the 2004 Sumatra-Andaman earthquake presented in:</p> <p>Ulrich, T., Gabriel, A. A., Madden, E. H. (2021). Stress, rigidity and sediment strength control megathrust earthquake and tsunami dynamics. doi: 10.31223/osf.io/s9263.<br> </p> <p><strong>supermucNG_launch_script.sh</strong>: batch script for running a dynamic rupture earthquake scenario on Supermuc NG (LRZ).<br> <br> <strong>parameters_base_slab2.par, parameters_stronger_slab2.par, parameters_weaker_slab2.par</strong>: main parameter file for the base (resp. stronger, resp. weaker sediments) scenario.<br> <br> <strong>Sumatra_material_base_slab2.yaml, Sumatra_material_stronger_slab2.yaml, Sumatra_material_weaker_slab2.yaml</strong>: easi/yaml files describing the rock elastic and visco-plastic properties for each scenario.<br> It calls <strong>Sumatra_rhomulambda.yaml</strong> for the rock elastic properties and <strong>Sumatra_initial_stress_slab2.yaml</strong> for the stress tensor spatial variations.<br> <strong>Sumatra_fault_slab2.yaml</strong>: easi/yaml file describing the spatially variable on-fault parameters for the 3 main scenarios.<br> <strong>lithostaticStress_gamma.yaml</strong>: easi/yaml file describing the variations with depth of the lithostatic pressure, and specifying the pore fluid pressure ratio.<br> <br> <strong>Sumatra_fault_slab2_1d.yaml, Sumatra_initial_stress_slab2_1d.yaml, Sumatra_material_base_slab2_1d.yaml</strong>: easi/yaml files specific to the alternative scenario, which adopts a 1D PREM velocity structure.<br> <strong>Sumatra_fault_slab2_novar.yaml, Sumatra_initial_stress_slab2_novar.yaml, Sumatra_material_base_slab2_novar.yaml</strong>: easi/yaml files specific to the alternative dynamic rupture earthquake scenario in which no regional prestress variations are considered.<br> <br> <strong>Sumatra_slab2_layers_fixed.xdmf, Sumatra_slab2_layers_fixed</strong>: mesh file.</p>
GeoClaw input files of the 2004 Sumatra-Andaman tsunami scenarios published in Ulrich et al. (2021)
<p>This dataset contains the input files of the GeoClaw scenarios of the 2004 Sumatra-Andaman tsunami presented in:</p> <p>Ulrich, T., Gabriel, A. A., Madden, E. H. (2021). Stress, rigidity and sediment strength control megathrust earthquake and tsunami dynamics. doi: 10.31223/osf.io/s9263.</p> <p><strong>runconverterLMU_WGS84.sh</strong>: contains all the steps to transform a SeisSol surface output to a Geoclaw tt3 file.<br> It uses the displacement converter of Samoa to rasterize a SeisSol surface output to NetCDF.<br> See <strong>README_build_displacement-converter.txt</strong> for the procedure to download and build the displacement converter.<br> Note that the SAMPLER (<a href="https://github.com/SeisSol/SAMPLER">https://github.com/SeisSol/SAMPLER</a>) will replace the displacement-converter in the future.<br> <br> <strong>convert_geographic_SeisSol_geom.py</strong>: to transform the geometry array of a SeisSol surface output file to the geocentric coordinate system (latitude, longitude).<br> <strong>tapperNetcdf.py</strong>: to apply a Hanning window on a NetCDF file. This prevents sharp displacement discontinuities at the limits of the region of imposed displacements, which could generate spurious waves.<br> <strong>convert_netcdf_tt3.py</strong>: to convert a NetCDF displacement file to the tt3 format (GeoClaw).<br> <br> The GeoClaw simulations require the following files:<br> <br> <strong>displacement_tt3_files.tar.gz</strong> : rasterized input files in tt3 format for 4 earthquake scenarios.<br> <strong>gebco_2019_n25.0_s-21.0_w55.0_e110.0.nc</strong>: input bathymetry and topography data in NetCDF format downloaded from https://www.gebco.net/.<br> <strong>setrun.py</strong> which defines the simulation parameters.<br> a Makefile, plateform specific see e.g. https://github.com/clawpack/geoclaw/blob/master/examples/tsunami/chile2010/Makefile<br> <strong>setplot_fig4.py</strong>: configures GeoClaw for generating outputs for figure 4. <br> <strong>setplot_animation.py</strong>: configures GeoClaw for generating outputs for the supplementary animations. <br> GeoClaw simulations are run with `make .plots`.</p>
LFP and single-unit data published in Olafsdottir, Carpenter and Barry (2016) Nature Neuroscience 19: 792-794
<p><strong>OVERVIEW</strong></p> <p>All data are recorded using tetrodes - eight in MEC (deep layers) and eight in hippocampus - and the DACQ system from Axona Ltd</p> <p>For all recording files (except R2142), tetrodes 1-8 are in MEC (for R2142 it's the other way around)</p> <p>Filenames indicate the recording date, animal ID and whether the animal was running on the Z-track ('track1'), resting ('sleepPOST'), or foraging in the open field ('Training') - e.g. 20151201_R2337_track1 indicates that this file is from animal R2337 running on the Z-track on 1st December 2015</p> <p>Rest recordings were recorded immediately after animals were exposed to the track; foraging was carried out in a 1m square arena</p> <p>All files ending with .cut have spike sorted data - e.g. 20151127_R2337_track1_11.cut, contains the spike sorted data for tetrode 11; files ending with .pos contain position data (sampled at 50Hz); files ending with .egf contain LFP data (sampled at 4.8kHz); files ending with .set contain the header information; files ending with a number contain tetrode data - e.g. '20151127_R2337_track1.1' contains tetrode data from tetrode 1; and some folder have .clu files (the output of KlustaKwik), but these should be ignored as they are superseded by the .cut files</p> <p><br> <strong>RAT SPECIFIC NOTES</strong></p> <p>R2142</p> <p>>>2014-08-06</p> <p>Screening, Track1 and SleepPost present</p> <p> </p> <p>R2192</p> <p>>>2104-09-17</p> <p>Track1 and SleepPost sessions present</p> <p>>>2014-10-01</p> <p>Note this animal has a typo in the file name for the track session, indicating the wrong date - i.e. 20140110 should be 20141001, as this recording was made on 1st October 2014 NOT 10th January 2014. Note that this digit switch applies to all files for that session (i.e. track) but not to the other files from that day (i.e. sleepPost)</p> <p> </p> <p>R2217</p> <p>>>2014-12-13</p> <p>Screening, Track1 and SleepPost present</p> <p>>>2014-12-18</p> <p>Screening, Track1 and SleepPost present</p> <p><br> R2335</p> <p>>>2015-10-26</p> <p>Screening, Track1 and SleepPost present<br> </p> <p>R2336</p> <p>>>2015-11-01</p> <p>Track1 and SleepPost present</p> <p>>>2015-11-04</p> <p>Track1 and SleepPost present</p> <p> </p> <p>R2337</p> <p>>>2015-11-27</p> <p>Track1 and SleepPost present</p> <p>>>2015-12-01</p> <p>Track1 and SleepPost present</p>
GPS velocities in North China from a combination of published results
<p>GPS velocities in North China from a combination of published results ( e.g., Wang & Shen, 2020,<a href="https://doi.org/10.1029/2019JB018774">https://doi.org/10.1029/2019JB018774</a> ; Hao et al., 2021, <a href="https://doi.org/10.1029/2020GL091008">https://doi.org/10.1029/2020GL091008</a>)</p>
Data for the article on 'Non-syntactic factors and accessibility to relativization: evidence from Armenian', published in Linguistics
<p>Data for the article on 'Non-syntactic factors and accessibility to relativization: evidence from Armenian', published in Linguistics</p>
Published ideas in Open Nature Innovation Arena
<p>This dataset has been generated from the Open Nature Innovation Arena. It contains all the ideas published from the users into the Open Nature Innovation Arena.</p>
Data sources for the manuscript on groundwater stress indicators published in Water Resources Research
<p>We computed seven global-scale groundwater stress indicators at the 0.5° grid-cell level and for transboundary aquifers> 20,000 km². All indicators were calculated for current conditions (1981-2010 or 2001-2010) based on a homogenized version of the concatenated WATCH Forcing Data ERA-40 (WFD) and WFD ERA-Interim data sets (WFDEI). In addition, four of the indicators were computed for the 2050s (2041-2070) under the worst-case greenhouse gas emissions scenario RCP8.5 applying ten climate and irrigation scenarios. The scenarios were derived by combining two irrigation scenarios (“AAI constant” and “AAI LandSHIFT”) with model output from the five global climate models GFDL-ESM2M, HadGEM2 -ES, IPSL-CM5A-LR, MIROC-ESM-CHEM, and NorESM1-M.</p> <p>Here, we provide the WaterGAP model output used to compute the groundwater stress indicators. A description of the indicators and the underlying data can be found in the reference below. Moreover, a table with coordinates and grid-cell area [km²] used in WaterGAP is provided for the conversion of units.</p> <p>The model output comprises:</p> <p>1. Monthly groundwater recharge (GWR and GWRswb) 1981-2010 and 2041-2070 [mm/month, km³/month]</p> <p>2. Monthly groundwater withdrawals (WWg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>3. Monthly net abstractions from groundwater (NAg) 1981-2010 (constWU, transWU) and 2041-2070 (constWU) [m³/month]</p> <p>4. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run with human water use (transWU) [mm/month]</p> <p>5. Monthly groundwater discharge (“gwrunoff”) 2001-2010 from a model run without human water use (NAT) [mm/month]</p> <p>6. Monthly groundwater storage 2001-2010 from a model run with human water use (transWU) [mm]</p> <p>7. Monthly groundwater storage 2001-2010 from a model run without human water use (NAT) [mm]</p>
Published correlational effect sizes in social and developmental psychology
<p>The distribution of effect sizes may offer insights about the research done and reported in a scientific field. We have evaluated 12,412 manually collected correlation effect sizes (Sample 1) and 31,157 computer-extracted correlation effect sizes (Sample 2) published in journals focused on social or developmental psychology. Sample 1 consisted of 243 studies from 6 journals published in 2010 and 2019. Sample 2 consisted of 5,012 papers published in 10 journals between 2010–2019. The 25<sup>th</sup>, 50<sup>th</sup> and 75<sup>th</sup> effect size percentiles were 0.08, 0.17 and 0.33, and 0.17, 0.31, and 0.52 in Samples 1 and 2, respectively. Sample 2 percentiles were probably larger because Sample 2 only included effect sizes from the text but not from tables. In text, authors may have emphasized larger correlations. Large sample sizes were associated with smaller reported correlations. In Sample 1 about 70% of studies specified a directional hypothesis. In 2010, no papers had power calculations while in 2019, 14% of papers had power calculations. These data offer empirical insights into the distribution of reported correlations and may inform the interpretation of effect sizes. They also demonstrate the importance of computation of statistical power and highlight potential reporting bias.</p>
Choosing Open Access Publishing: The Key Issues
<p>In this interactive webinar aimed at PhD students, post-docs and other early career researchers, <strong>Professor Patrick Dunleavy</strong> and <strong>Dr Frances Pinter </strong>introduced participants to Open Access Book Publishing, answered questions concerning the current publishing landscape, and gave insight into career-related issues for junior researchers to consider when choosing to publish open access. Although aimed specifically at junior researchers, this online webinar was open to all who wished to participate from across the CIVICA partner institutions.</p>
Multilingual publishing in the SSH in Poland and attitudes towards English
<p>This dataset contains responses to a self-constructed questionnaire that was designed to provide the following information: What languages are used for research dissemination in various SSH disciplines in Poland? What are the main languages of the research cited by authors in these disciplines? When languages other than Polish are used for research dissemination, are the results published in national or international venues? What are the prevailing reasons for language choices? What is the position of English in SSH disciplines in Poland? What is the attitude of Polish SSH scholars towards the dominance of English as the international language of science?</p> <p>The questionnaire was written in Polish and consisted of 52 items arranged in three thematic lines: multilingual publication practices, the role of English in research dissemination, and attitudes to English as the global language of science.</p> <p>The data were collected in an online survey based on Google Forms. The link to the questionnaire was distributed via email among scholars affiliated with the social sciences and humanities units of 20 Polish universities which took part in the Excellence Initiative – Research University competition, a funding programme launched in 2019 by the Ministry of Science and Higher Education (<a href="https://www.gov.pl/web/science/the-excellence-initiative---research-university-programme">https://www.gov.pl/web/science/the-excellence-initiative---research-university-programme</a>).</p> <p>Time of data collection: 12 October 2020–16 November 2020.</p> <p>Volume of data and the response rate: 12,100 emails sent; 1,575 completed forms received (response rate about 13%); 50 forms removed (contradictory or random responses; this dataset is limited to speakers of Polish as the first language).</p> <p>The classification of fields and disciplines follows Polish regulations in force at the time of the study (Regulation of the Polish Minister of Science and Higher Education of 20 September 2018 on Classification of fields and disciplines of science and disciplines of the arts; Journal of Laws 2018, item 1818). Compared to the OECD classification, the main points of difference involve the status of history and archaeology, linguistics and literary studies, and economics and management as separate disciplines.</p> <p>The data collection was not funded by any external source.</p>
Multiple sequence alignments of newly reconstructed and published cervid and human mtDNA
<p><span>Assigning prehistoric objects to specific individuals is usually impossible outside of burial contexts. Here we present a non-destructive method for gradually releasing DNA from ancient bone and tooth artifacts. Application of the method to an Upper Paleolithic deer tooth pendant from Denisova Cave (Russia) resulted in the recovery of DNA from both the deer and a female human individual. Genetic dates obtained from the deer and human mitochondrial genomes estimate the age of the pendant at approximately 20,000 to 24,000 years. Nuclear DNA from its presumed maker or wearer shows strong affinities to contemporaneous Ancient North Eurasian individuals previously found further east in Siberia. Our work opens up new possibilities for linking cultural and genetic records in prehistoric archaeology.</span></p>
Dataset for manuscript "Host-related and environmental factors influence long-term ectoparasite infestation dynamics of mouse lemurs in northwestern Madagascar" to be published in the American Journal of Primatology
<p>This Excel-file contains three datasets, corresponding to the initial raw dataset resulting from all ectoparasite inspections (n = 2,241), the merged dataset used for host-related and temporal modeling (n = 1940), and the even more condensed dataset with one datapoint per individual used for climatic modeling (n = 583), respectively.</p>
Stability of iridium single atoms on Fe3O4(001) in the mbar pressure range - Published and reference data
<p>Collection of data used in the publication in title, sorted for different conditions and pressures. Baselines included for pristine Fe3O4(001), in addition to Ir1-deposited surfaces.</p>
Factors influencing surface carbon contamination in ambient-pressure X-ray photoelectron spectroscopy experiments - Published data
<p>Collection of data used in the publication in title. Data sorted according to figures. Additional data has been acquired, but was not utilized in the publication.</p>
FIG. 15 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 15. — Lectotype of Saussurea virgata Franch., Delavay 3617 (P00602943).
FIG. 12 in Notes on the typification of fourteen names published by A.R. Franchet in Saussurea DC. (Asteraceae)
FIG. 12. — Lectotype of Saussurea stricta Franch., Farges 1140 (P00602914).
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.