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3,172 results for “public”
Meta-MARC Publication Code
<p>This is the analytic data and code used in the publication Lakin et al. "Hierarchical Hidden Markov Models Enable Accurate and Diverse Detection of Antimicrobial Resistance Sequences."</p>
SeminalSurveyDBLP Dataset for Classification of Seminal and Survey Publications
<p>This data set contains citation network data for 1320 publications from dblp (https://dblp.uni-trier.de/) enriched with data from AMiner (https://aminer.org/) for classification of seminal and survey publications.</p> <p>Citations and references are contained for every publication. For each of the 121,084 papers, dblp key, publication year as well as stemmed and unstemmed concatenations of its title and abstract are given. Seminal papers come from A* conferences, surveys were extracted from venues specialized in publishing reviews.</p> <p>For details, see <em>Revaluating Semantometrics from Computer Science Publications</em>, Christin Katharina Kreutz, Premtim Sahitaj, and Ralf Schenkel, 2019, submitted to BIRNDL@SIGIR.</p>
Code + simulated + publically accessable data for "Evaluating health facility access using Bayesian spatial models and location analysis methods"
<p># README</p> <p>These files contain r data objects and R files that represent the key details of the paper, "Evaluating health facility access using Bayesian spatial models and location analysis methods".</p> <p>The following datasources are available for simulation of some of the ideas in the paper.</p> <p>- dat_grid_sim: simulated data of the grid and grid cells<br> - dat_ohca_cv_sim: simulated data containing the cross validated test/training sets of OHCA data<br> - dat_ohca_sim: simulated OHCA event data<br> - dat_aed_sim: simulated AED location data<br> - dat_bldg_sim: simulated building location data<br> - dat_municipality_sim: simulated municipality information<br> - table_1: Table 1 information containing key demographic data</p> <p>These data were produced using the code in 01-create-sim-data.R, and one of the statistical models is demonstrated in 02-demo-inla-model.R</p> <p>In terms of the paper itself, the functions and code used in the manuscript are located in:</p> <p>* 01_tidy.Rmd - analysis code used to tidy up the data</p> <p>* 02_fit_fixed_all_cv.Rmd - analysis code used to place AEDs</p> <p>* 02_model.Rmd - analysis code used to fit the model in INLA</p> <p>* 03_manuscript.Rmd - Full code and text used to create the paper</p> <p>* 04_supp_materials.Rmd - full code and text used to create the supplementary materials</p> <p>The following files are a part of an R package "swatial" that was developed along with the paper. These files are:</p> <p>* DESCRIPTION</p> <p>* NAMESPACE</p> <p>* LICENSE</p> <p>* LICENSE.md</p> <p>* decay.R</p> <p>* spherical-distance.R</p> <p>* test-figure-data-matches.R</p> <p>* test-table-data-matches.R</p> <p>* testthat.R</p> <p>* tidy-inla.R</p> <p>* tidy-posterior-coefs.R</p> <p>* tidy-predictions.R</p> <p>* utils-pipe.R</p> <p>* All files that end in .Rd are documentation files for the functions.</p> <p>## Regarding data sources</p> <p>Census information for Ticino was transcribed from the Annual Statistical Report of Canton Ticino from years 2010 to 2015. This data was taken from their publicly accessible annual reports - for example: (https://www3.ti.ch/DFE/DR/USTAT/allegati/volume/ast_2015.pdf). The raw data was extracted from these annual reports, and placed into the file: "swiss_census_popn_2010_2015.xlsx". These data are put into analysis ready format in the file “01_tidy.Rmd”</p> <p>Housing and other relevant geospatial data can be accessed via http://map.housing-stat.ch/ and https://data.geo.admin.ch/. The maps of buildings from the REA (Register of Buildings and Dwellings) can be found here: https://map.geo.admin.ch/?zoom=11&bgLayer=ch.swisstopo.pixelkarte-grau&lang=en&topic=ech&layers=ch.bfs.gebaeude_wohnungs_register,ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill,ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude,ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen,ch.swisstopo.swissbuildings3d_1.metadata,ch.swisstopo.swissbuildings3d_2.metadata&E=2717616.28&N=1096597.25&catalogNodes=687,696&layers_timestamp=,,2016,2016,,&layers_visibility=true,false,false,false,false,false&layers_opacity=1,1,1,1,1,0.75</p> <p>For further enquiries on this data, contact the Swiss federal Office of Statistics at the details listed here: https://www.bfs.admin.ch/bfs/en/home/services/contact.html</p> <p>The shapefiles of the Comuni can be accessed here: https://www4.ti.ch/dfe/de/ucr/documentazione/download-file/?noMobile=1</p> <p>Data from the people living in the Municipalities in Ticino can be downloaded here: https://www3.ti.ch/DFE/DR/USTAT/index.php?fuseaction=dati.home&tema=33&id2=61&id3=65&c1=01&c2=02&c3=02</p> <p>## Future work</p> <p>In the future, these functions from the paper may be generalised and put into their own package. If that happens, this repository will be updated with a link to updated functions.</p>
Database of abstracts in publications on exoplanets from the NASA archive
<p>Collection of pre-processed data of the abstracts in publications on exoplanets, as collected by NASA. The dataframes are stored as JSON prepared for importing as Pandas dataframes.</p>
Supplementary File S2 for the publication 'Predicting Bacterial Virulence Factors - Evaluation of Machine Learning and Negative Data Strategies' by Rentzsch, R et al.
<p>Supplementary File S2 for the publication 'Predicting Bacterial Virulence Factors - Evaluation of Machine Learning and Negative Data Strategies' by Robert Rentzsch, Carlus Deneke, Andreas Nitsche, and Bernhard Y. Renard</p>
Semantic Triples from "A Collaborative, Realism-Based, Electronic Healthcare Graph: Public Data, Common Data Models, and Practical Instantiation"
<p>These RDF triples (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_graph_exportable.nq.zip?versionId=7aff7c4a-bb0c-46ae-b006-7a80bcec0925">synthea_graph_exportable.nq.zip</a>) are the result of modeling electronic health records (<a href="https://zenodo.org/api/files/3d3308cb-8221-4a17-abc5-0ae32bb33f26/synthea_csv_output_turbo_cannonical.zip">synthea_csv_output_turbo_cannonical.zip), </a>that were synthesized with the Synthea software (https://github.com/synthetichealth/synthea). Anyone who loads them into a triplestore database is encouraged to provide feedback at https://github.com/PennTURBO/EhrGraphCollab/issues. The following abstract comes from a paper, describing the semantic instantiation process, and presented to the ICBO 2019 conference (https://drive.google.com/file/d/1eYXTBl75Wx3XPMmCIOZba-8Cv0DIhlRq/view).</p> <p>ABSTRACT: There is ample literature on the semantic modeling of biomedical data in general, but less has been published on realism-based, semantic instantiation of electronic health records (EHR). Reasons include difficult design decisions and issues of data governance. A collaborative approach can address design and technology utilization issues, but is especially constrained by limited access to the data at hand: protected health information.</p> <p>Effective collaboration can be facilitated by public EHR-like data sets, which would ideally include a large variety of datatypes mirroring actual EHRs and enough records to drive a performance assessment. An investment into reading public EHR-like data from a popular common data model (CDM) is preferable over reading each public data set’s native format.</p> <p>In addition to identifying suitable public EHR-like data sets and CDMs, this paper addresses instantiation via relational-to-RDF mapping. The completed instantiation is available for download, and a competency question demonstrates fidelity across all discussed formats.</p>
Bibliography on criteria for assessing the quality of scientific publications
<p>The data deposited here consist of references to literature that was evaluated during the development of a qualitative survey and an online questionnaire on the qualitative perception of scientific publications.</p> <p>In preparation for these qualitative interviews and the online survey, a literature study on the qualitative perceptions of scientific literature was conducted in January and February 2018. The focus was on the question which internal characteristics, i.e. in the narrower sense content-related factors, influence the perception of a publication as qualitatively valuable or poor. External characteristics as citation counts should not be at the centre of the research - knowing that they control qualitative perception - since their effect on the perception of the quality of a publication is sufficiently discussed (see e.g. Dong, Loh, & Mondry, 2005).<br> The literature study was based on the results of a search in the databases Web of Science, Scopus, Library, Information Science & Technology Abstracts and the search engine Google Scholar.</p> <p>VisOA_full_results.bib includes references that were considered valuable in principle, VisOA.bib only those that have been considered in the development of the survey instruments.</p>
Dataset for—The influence of land finance and public service supply on peri-urbanization: Evidence from the counties in China
<p>The dataset covers 2006 counties in China and ranges from 2009 to 2015.It includes land finance data at county level, efficiency of public service supply, economic bias of public service supply, household registration difference of public service supply, financial decentralization data, agricultural development level data, financial development level data, foreign direct investment data and industrial structure data.</p> <p>The data of land finance is from the Ministry of Land and Resources. It is also supplemented by the websites of the prefecture-level municipal land and resources bureaus, the provincial statistical yearbooks and Wind database. The data of public service variables and control variables mainly come from the Economic Statistical Yearbook of China County and City (2010-2016), Statistical Yearbook of China’s Counties (2010-2016), County-level statistical bulletin (2010-2016), Statistical Yearbook of China's Provinces (2010-2016), Statistical Yearbook of Prefecture-level Cities (2010-2016), Wind database, etc.</p> <p>This data set is mainly suitable for studying the development of land finance in the China's counties, the changing trend of peri-urbanization, and the research on the public services supply in China's counties.</p>
JWTurn/hyena-risktaking: Release for publication
<p>data and code for "Risk-taking in free-living spotted hyenas is associated with anthropogenic disturbance, predicts survivorship, and is consistent across experimental contexts" - Turner, LaFleur, Richardson, and Holekamp (2019)</p>
l-sized Training and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"
<p>Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of large size.</p>
s-sized Training and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"
<p>Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of small size.</p>
Code and figures in support of publication comparing transient and quasi-equilibrium warmer worlds
<p>This folder contains raw figure files for a publication comparing transient and quasi-equilibrium warmer worlds.</p>
Dataset: Occupancy Presence and Trajectory Dataset from an Instrumented Public Building
<p>Dataset form three PC2, 3D stereo vision camera, form Xovis.<br> It contains 5,485,350 readings, collected over 13 days, in the summer of 2019, in a public building in Denmark.<br> The monitored space is 105 m2.</p> <p>The Data description can be found on:<br> <a href="https://doi.org/10.1145/3359427.3361909">https://doi.org/10.1145/3359427.3361909</a></p> <p>The occupancy_presence_and_trajectories.csv file contains the following attributes:</p> <ul> <li>time: Time-stamp when the entries were collected [Time].</li> <li>day_id: ID for the specific day in the dataset [Number].</li> <li>workday: Was the entry collected on a workday [Boolean].</li> <li>holiday: Was the entry collected on a national holiday [Boolean].</li> <li>x: Represents the spatial position in X-axis [Number].</li> <li>y: Represents the spatial position in Y-axis [Number].</li> <li>occupant_id: Unique Occupant-ID [Number]. </li> <li>height: Occupant height in [millimeters]. </li> <li>camera_id: Name of the camera which collected the entries [String].</li> </ul> <p> </p> <p> </p>
Open Access Publications at the Université de Lorraine (France) 2012-2018
<p>This file contains three datasets regarding the publications by authors affiliated with Université de Lorraine in open access journals from 2012 to 2018 :</p> <ul> <li>first tab: data from a large bibliographic database (Web of Science) enriched with affiliation data and APC expenses</li> <li>second tab: data from the university's accounting software (SIFAC) enriched with affiliation data</li> <li>third tab: data from the OpenEdition Journals platform enriched with affiliation data</li> </ul>
SPAWN data files need for histograms of publication "Exciting determinants in Quantum Monte Carlo: Loading the dice with fast, low memory weights" by Verena A. Neufeld and Alex J. W. Thom (doi.org/10.1021/acs.jctc.8b00844), J. Chem. Theory Comput., 15,1, 127-140, 2019,
<p>SPAWN data files need for histograms of publication "Exciting determinants in Quantum Monte Carlo: Loading the dice with fast, low memory weights" by Verena A. Neufeld and Alex J. W. Thom (doi.org/10.1021/acs.jctc.8b00844), J. Chem. Theory Comput., 15,1, 127-140, 2019. This compliments the data set at doi: 10.17863/CAM.30358 (copy these SPAWN files here into relevant folder at histograms_toc_figs_1_2/H2O_3_ccpVDZ/).</p>
Dataset for publication: "Measuring Losses of an Air-Core Shunt Reactor with an Advanced Loss Measuring System"
<p>Dataset for publication: "Measuring Losses of an Air-Core Shunt Reactor with an Advanced Loss Measuring System". Excel file contains the data for Figures 7, 8, 9 and 10.</p>
Data for publication 'Recreational vessels without Automatic Identification System (AIS) dominate anthropogenic noise contributions to a shallow water soundscape' (Scientific Reports 2019)
<p>Data on vessel tracks and underwater noise levels presented in the publication Hermannsen, L., Mikkelsen, L., Tougaard, J., Beedholm, K., Johnson, M. and P. T. Madsen, "Recreational vessels without Automatic Identification System (AIS) dominate anthropogenic noise contributions to a shallow water soundscape", Scientific Reports 9:15477 (<a href="https://doi.org/10.1038/s41598-019-51222-9">https://doi.org/10.1038/s41598-019-51222-9</a>).</p>
Reasearch data for publication "On optimizing metaheuristics performance with different error normalization approaches"
<p>These are the results of experiments performed for publication "On optimizing metaheuristics performance with different error normalization approaches" using authors own software -- EvANN -- which is available on github.</p>
Transcriptomics data and script for publication "Unexpected intracellular biodegradation and recrystallization of gold nanoparticles"
<p>Transcriptomics data from DNA arrays sequencing</p> <p>Folder name : Raw_data_DNA_arrays.zip</p> <p>Number of files : 18 .cel files</p> <p> </p> <p>R script for DNA array analysis</p> <p>File name : Clean_Script.R</p>
Data for the publication "Singular charge fluctuations at a magnetic quantum critical point"
<p>Data sets of the figures in the publication "Singular charge fluctuations at a magnetic quantum critical point"</p> <p>Preprint: arXiv:1808.02296</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.