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5,805 results for “Data model”
Modeling Data vs Modeling Processes: How Digital Humanities developed in Russia
<p>2nd lecture</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>
GIS data - Klasifikační model terénního reliéfu ČR | GIS data - Terrain Classification Model of the Czech Republic
<p>GeoTIFF layer (8 x 8 m) based on areial laser scanning data, containing a relief classification model of the Czech Republic processed according to the procedure described in a separately published article (see https://www.researchgate.net/publication/333633314_Wykorzystanie_ALS_do_zautomatyzowanej_analizy_krajobrazom_krajobrazom_krajobrazu_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use_animage_Use).</p>
GIS data - Model sítě vodních toků v ČR | GIS data - Water Stream Network Model for the Czech Republic
<p>GeoTIFF layers (8 x 8 m) containing a modeled network of watercourses in the landscape of the Czech Republic: (1) "streams_def_cr.tif" layer - network of natural watercourses with Strahler order determination; (2) "vodni_toky.tif" layer - model of potentially navigable watercourses. For a detailed description of layers, see https://doi.org/10.5281/zenodo.3367296</p>
GIS data - Model přirozených koridorů v krajině ČR | GIS data - Model of Natural Corridors in the Landscape of the Czech Republic
<p>GeoTIFF layer showing the location of modeled natural corridors passing through the landscape of the Czech Republic. Based on the model of natural path network (see http://doi.org/10.13140/RG.2.2.29554.45769). For a more detailed description of the layer, see https://doi.org/10.5281/zenodo.3367296</p>
GIS data - Model potenciálních rozlivových zón na území ČR | GIS data - Model of Potential Floodplains in the Czech Republic
<p>GeoTIFF layer (8 x 8 m) containing a model of potential floodplains of watercourses in the landscape of the Czech Republic. Based on watercourse network model (see http://doi.org/10.13140/RG.2.2.19409.48489). For a detailed description of layers, see http://doi.org/10.5281/zenodo.3367296</p>
GIS data - Model přirozené komunikační sítě pro území ČR | GIS data - Model of Natural Path Network for the Czech Republic
<p>GeoTIFF layer (8 x 8 m) containing a model of natural routes through the landscape of the Czech Republic. For a detailed description of layers, see https://doi.org/10.5281/zenodo.3367296</p>
Modelling and simulation data for a cyanobacterial light-dependent protochlorophyllide oxidoreductase
<p>Homology models, ab initio bead models, MD simulation data and multi-wavelenght analytical ultra-centrifugation raw data of a light-dependent protochlorophyllide oxidoreductase of <em>Thermosynechococcus elongatus</em></p>
Data for: Model-based myocardial T1 mapping with sparsity constraints using single-shot inversion-recovery radial FLASH Cardiovascular Magnetic Resonance
<p>Magnetic Resonance Imaging measurement data used in our paper about model-based myocardial T1 mapping with sparsity constraints. The data was obtained using a single-short inversion-recovery radial FLASH sequence and is provided in a file format used by the BART toolbox (<a href="http://doi.org/10.5281/zenodo.592960">DOI: 10.5281/zenodo.592960</a>).</p>
Evaluation data for the Intervention Model for Air Pollution (InMAP) version 1.6.1
<p>This directory contains data for performing InMAP model runs and evaluations. To the extent that any of the data is covered by third party licenses, it is the responsibility of the user to follow the terms of those licenses. A description of the contents of this directory is below:</p> <p>- annual_all_2005.csv: U.S. EPA annual average measured air pollution data for year 2005, downloaded from EPA AirData at http://aqsdr1.epa.gov/aqsweb/aqstmp/airdata/download_files.html. </p> <p>- census2013blckgrp.shp and associated files: US Census Bureau estimates of average population counts for several demographic groups for years 2011-2015. Descriptive and license information regarding these files can be found in census2013blckgrp_README.txt</p> <p>- InMAPData_v1.6.1.gob: InMAP variable grid resolution input data for the continental U.S. year 2005 for use as the "VariableGridData" variable in the InMAP configuration file. It was created with the 'inmap grid' command.</p> <p>- InMAPData_v1.2.0.ncf: Regular-grid InMAP input data for the continental U.S. year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command. This file has not changed since version 1.2. Information regarding the WRF-Chem simulations is available in: Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- mortalityRates2013.shp and associated files: Year 2013 all-population, all-cause mortality rate data from the CDC WONDER database (http://wonder.cdc.gov). Descriptive information regarding these files can be found in mortalityRates2013_README.txt</p> <p>- states.shp and related files: U.S. state boundaries for making evaluation maps.</p> <p>- la_test directory: Files with the area surrounding the city of Los Angeles extracted for faster-running tests.</p> <p>- 2005_emissions directory: Anthropogenic emissions from the 2005 U.S. EPA National Emissions Inventory (NEI), processed using the AEP model (https://github.com/ctessum/aep) (files Elevated.shp and GroundLevel.shp), and biogenic and wilfire emissions (file bioFireEmis.shp) calculated following the methods in Tessum, C. W., Hill, J. D., & Marshall, J. D. (2015). Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation. Geosci. Model Dev., 8(4), 957–973. http://doi.org/10.5194/gmd-8-957-2015</p> <p>- singleSource directory: Regular-grid InMAP input data for los Angeles for year 2005 for use as the "InMAPData" variable in the InMAP configuration file. It was created from WRF-Chem simulation outputs with the 'inmap preproc' command, based on a 9 - 3 - 1 km nested WRF-Chem simulation which only included emissions from a single source in downtown Los Angeles. The directory includes four different InMAPData_*.ncf files, three corresponding to the three WRF-Chem domains and one for a nested InMAP simulation. The directory also contains an inmapEmis.shp shapefile and supporting files that contain emissions matching the emissions used in the WRF-Chem simulation. More information about this simulation can be found in the InMAP model description article.</p> <p>- FuelScenarios directory: This directory contains two subdirectories. "Emissions" contains spatial emissions information corresponding to the emissions scenarios described at doi: 10.1073/pnas.1406853111. "Concentrations" contains changes in pollutant concentrations resulting from WRF-Chem simulations of the emissions scenarios, also described and discussed at doi: 10.1073/pnas.1406853111.</p>
Resolution limit of data-driven coarse-grained models spanning chemical space
<p>This repository contains all databases referenced in the supporting information of the paper titled "Resolution limit of data-driven coarse-grained models spanning chemical space" by Kiran H. Kanekal and Tristan Bereau.</p>
data set related to article A Nervous System-Specific Model of Creatine Transporter Deficiency Recapitulates the Cognitive Endophenotype of the Disease: a Longitudinal Study
<p>This record contains raw data related to article A Nervous System-Specific Model of Creatine Transporter Deficiency Recapitulates the Cognitive Endophenotype of the Disease: a Longitudinal Study</p>
Code and data to reproduce the results of the paper: "Land Use Patterns and Climate Change---A Modeled Scenario of the Late Bronze Age in Southern Greece"
<p>Code and data to reproduce the results of Knitter et al. (2019): Land Use Patterns and Climate Change---A Modeled Scenario of the Late Bronze Age in Southern Greece. ERL.</p>
Data set related to the manuscript "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors"
<p>Graphical files in the agr format for all the figures in the main text of the manuscript entitled "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors" (<a href="https://doi.org/10.1016/j.electacta.2019.135022">10.1016/j.electacta.2019.135022</a>).</p>
Tutorial Data Bundle for PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p><strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at <a href="https://github.com/PyPSA/PyPSA-eur">https://github.com/PyPSA/PyPSA-eur</a>.</p> <p><strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.</p> <p><strong>Not all data dependencies</strong> are shipped with the <a href="https://github.com/PyPSA/PyPSA-eur">code repository</a>, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-eur.readthedocs.io/en/latest/installation.html">documentation</a>.</p> <p>This is the <strong>lightweight</strong> data bundle to be used for the <a href="https://pypsa-eur.readthedocs.io/en/latest/tutorial.html">PyPSA-Eur tutorial</a>. It excludes large bathymetry and natural protection area datasets.</p> <p>While the <a href="https://github.com/PyPSA/PyPSA-eur">code</a> in PyPSA-Eur is released as free software under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GPLv3</a>, <strong>different licenses and terms of use</strong> apply to the various input data, which are summarised and linked below:</p> <p><strong>corine/*</strong></p> <ul> <li>CORINE Land Cover (CLC) database</li> <li><strong>Source:</strong> <a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users and can be found here. Free, full and open access to this data set is made on the conditions that:</p> <ul> <li> <p>When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.</p> </li> <li> <p>Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.</p> </li> <li> <p>Where that data or information has been adapted or modified, the user shall clearly state this.</p> </li> <li> <p>The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.</p> </li> </ul> </blockquote> <ul> <li><a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata</a></li> </ul> <p><strong>eez/*</strong></p> <ul> <li>World exclusive economic zones (EEZ)</li> <li><strong>Source:</strong> <a href="http://www.marineregions.org/sources.php#unioneezcountry">http://www.marineregions.org/sources.php#unioneezcountry</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Marine Regions’ products are licensed under CC-BY-NC-SA. Please contact us for other uses of the Licensed Material beyond license terms. We kindly request our users not to make our products available for download elsewhere and to always refer to marineregions.org for the most up-to-date products and services.</p> </blockquote> <ul> <li><a href="http://www.marineregions.org/disclaimer.php">http://www.marineregions.org/disclaimer.php</a></li> </ul> <p><strong>naturalearth/*</strong></p> <ul> <li>World country shapes</li> <li><strong>Source:</strong> <a href="https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/">https://www.naturalearthdata.com/downloads/10m-cultural-vectors/10m-admin-0-countries/</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>All versions of Natural Earth raster + vector map data found on this website are in the public domain. You may use the maps in any manner, including modifying the content and design, electronic dissemination, and offset printing. The primary authors, Tom Patterson and Nathaniel Vaughn Kelso, and all other contributors renounce all financial claim to the maps and invites you to use them for personal, educational, and commercial purposes.</p> <p>No permission is needed to use Natural Earth. Crediting the authors is unnecessary.</p> </blockquote> <ul> <li><a href="http://www.naturalearthdata.com/about/terms-of-use/">http://www.naturalearthdata.com/about/terms-of-use/</a></li> </ul> <p><strong>NUTS_2013_60M_SH/*</strong></p> <ul> <li>Europe NUTS3 regions</li> <li><strong>Source:</strong> <a href="https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units">https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>In addition to the general copyright and licence policy applicable to the whole Eurostat website, the following specific provisions apply to the datasets you are downloading. The download and usage of these data is subject to the acceptance of the following clauses:</p> <ol> <li> <p>The Commission agrees to grant the non-exclusive and not transferable right to use and process the Eurostat/GISCO geographical data downloaded from this page (the "data").</p> </li> <li> <p>The permission to use the data is granted on condition that: the data will not be used for commercial purposes; the source will be acknowledged. A copyright notice, as specified below, will have to be visible on any printed or electronic publication using the data downloaded from this page.</p> </li> </ol> </blockquote> <ul> <li><a href="https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units">https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units</a></li> <li><a href="https://ec.europa.eu/eurostat/about/policies/copyright">https://ec.europa.eu/eurostat/about/policies/copyright</a></li> </ul> <p><strong>ch_cantons.csv</strong></p> <ul> <li>Mapping between Swiss Cantons and NUTS3 regions</li> <li><strong>Source:</strong> <a href="https://en.wikipedia.org/wiki/Data_codes_for_Switzerland">https://en.wikipedia.org/wiki/Data_codes_for_Switzerland</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Creative Commons Attribution-ShareAlike 3.0 Unported License</p> </blockquote> <ul> <li><a href="https://en.wikipedia.org/wiki/Data_codes_for_Switzerland">https://en.wikipedia.org/wiki/Data_codes_for_Switzerland</a></li> </ul> <p><strong>EIA_hydro_generation_2000_2014.csv</strong></p> <ul> <li>Hydroelectricity generation per country and year</li> <li><strong>Source:</strong> <a href="https://www.eia.gov/beta/international/data/browser/#/?pa=000000000000000000000000000000g&c=1028i008006gg6168g80a4k000e0ag00gg0004g800ho00g8&ct=0&ug=8&tl_id=2-A&vs=INTL.33-12-ALB-BKWH.A&cy=2014&vo=0&v=H&start=2000&end=2016">https://www.eia.gov/beta/international/data/browser/#/?pa=000000000000000000000000000000g&c=1028i008006gg6168g80a4k000e0ag00gg0004g800ho00g8&ct=0&ug=8&tl_id=2-A&vs=INTL.33-12-ALB-BKWH.A&cy=2014&vo=0&v=H&start=2000&end=2016</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Public domain and use of EIA content: U.S. government publications are in the public domain and are not subject to copyright protection. You may use and/or distribute any of our data, files, databases, reports, graphs, charts, and other information products that are on our website or that you receive through our email distribution service. However, if you use or reproduce any of our information products, you should use an acknowledgment, which includes the publication date, such as: "Source: U.S. Energy Information Administration (Oct 2008)."</p> </blockquote> <ul> <li><a href="https://www.eia.gov/about/copyrights_reuse.php">https://www.eia.gov/about/copyrights_reuse.php</a></li> </ul> <p><strong>hydro_capacities.csv</strong></p> <p>Hydroelectricity generation and storage capacities</p> <ul> <li><strong>Source:</strong> <ul> <li> <p>A. Kies, K. Chattopadhyay, L. von Bremen, E. Lorenz, D. Heinemann, RESTORE 2050 Work Package Report D12: Simulation of renewable feed-in for power system studies., Tech. rep., RESTORE 2050 (2016).</p> </li> <li> <p>B. Pfluger, F. Sensfuß, G. Schubert, J. Leisentritt, Tangible ways towards climate protection in the European Union (EU Long-term scenarios 2050), Fraunhofer ISI. <a href="https://www.isi.fraunhofer.de/content/dam/isi/dokumente/ccx/2011/Final_Report_EU-Long-term-scenarios-2050.pdf">https://www.isi.fraunhofer.de/content/dam/isi/dokumente/ccx/2011/Final_Report_EU-Long-term-scenarios-2050.pdf</a></p> </li> </ul> </li> </ul> <p><strong>je-e-21.03.02.xls</strong></p> <ul> <li>Population and GDP data for Swiss Cantons</li> <li><strong>Source:</strong> <a href="https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html">https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Information on the websites of the Federal Authorities is accessible to the public. Downloading, copying or integrating content (texts, tables, graphics, maps, photos or any other data) does not entail any transfer of rights to the content.</p> <p>Copyright and any other rights relating to content available on the websites of the Federal Authorities are the exclusive property of the Federal Authorities or of any other expressly mentioned owners.</p> <p>Any reproduction requires the prior written consent of the copyright holder. The source of the content (statistical results) should always be given. Anyone who intends on using statistical results for commercial purposes or gain must obtain an authorisation pursuant to Art. 13 of the Fee Ordinance and is liable to pay an indemnity. Please contact the FSO for this purpose.</p> </blockquote> <ul> <li><a href="https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html">https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html</a></li> <li><a href="https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html">https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html</a></li> </ul> <p><strong>nama_10r_3gdp.tsv.gz</strong></p> <ul> <li>Gross domestic product (GDP) by NUTS3 region</li> <li><strong>Source:</strong> <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3gdp&lang=">http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3gdp&lang=</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Eurostat has a policy of encouraging free re-use of its data, both for non-commercial and commercial purposes. All statistical data, metadata, content of web pages or other dissemination tools, official publications and other documents published on its website, with the exceptions listed below, can be reused without any payment or written licence provided that:</p> <ul> <li> <p>the source is indicated as Eurostat;</p> </li> <li> <p>when re-use involves modifications to the data or text, this must be stated clearly to the end user of the information.</p> </li> </ul> <p>Exceptions</p> <ul> <li> <p>The permission granted above does not extend to any material whose copyright is identified as belonging to a third-party, such as photos or illustrations from copyright holders other than the European Union. In these circumstances, authorisation must be obtained from the relevant copyright holder(s).</p> </li> <li> <p>Logos and trademarks are excluded from the above mentioned general permission, except if they are redistributed as an integral part of a Eurostat publication and if the publication is redistributed unchanged.</p> </li> <li> <p>When reuse involves translations of publications or modifications to the data or text, this must be stated clearly to the end user of the information. A disclaimer regarding the non-responsibility of Eurostat shall be included.</p> </li> </ul> </blockquote> <ul> <li><a href="https://ec.europa.eu/eurostat/about/policies/copyright">https://ec.europa.eu/eurostat/about/policies/copyright</a></li> </ul> <p><strong>nama_10r_3popgdp.tsv.gz</strong></p> <ul> <li>Population by NUTS3 region</li> <li><strong>Source:</strong> <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en">http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Eurostat has a policy of encouraging free re-use of its data, both for non-commercial and commercial purposes. All statistical data, metadata, content of web pages or other dissemination tools, official publications and other documents published on its website, with the exceptions listed below, can be reused without any payment or written licence provided that:</p> <ul> <li> <p>the source is indicated as Eurostat;</p> </li> <li> <p>when re-use involves modifications to the data or text, this must be stated clearly to the end user of the information.</p> </li> </ul> <p>Exceptions</p> <ul> <li> <p>The permission granted above does not extend to any material whose copyright is identified as belonging to a third-party, such as photos or illustrations from copyright holders other than the European Union. In these circumstances, authorisation must be obtained from the relevant copyright holder(s).</p> </li> <li> <p>Logos and trademarks are excluded from the above mentioned general permission, except if they are redistributed as an integral part of a Eurostat publication and if the publication is redistributed unchanged.</p> </li> <li> <p>When reuse involves translations of publications or modifications to the data or text, this must be stated clearly to the end user of the information. A disclaimer regarding the non-responsibility of Eurostat shall be included.</p> </li> </ul> </blockquote> <ul> <li><a href="https://ec.europa.eu/eurostat/about/policies/copyright">https://ec.europa.eu/eurostat/about/policies/copyright</a></li> </ul> <p><strong>time_series_60min_singleindex_filtered.csv</strong></p> <ul> <li>ENTSO-E hourly per-country load profiles</li> <li><strong>Source:</strong> <a href="https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv">https://data.open-power-system-data.org/time_series/2019-06-05/time_series_60min_singleindex.csv</a></li> <li><strong>Extract from Terms of Use:</strong></li> </ul> <blockquote> <p>Attribution in Chicago author-date style should be given as follows: "Open Power System Data. 2019. Data Package Time series. Version 2019-06-05. <a href="https://doi.org/10.25832/time_series/2019-06-05">https://doi.org/10.25832/time_series/2019-06-05</a>. (Primary data from various sources, for a complete list see URL)."</p> </blockquote> <ul> <li><a href="https://data.open-power-system-data.org/time_series/2019-06-05/README.md">https://data.open-power-system-data.org/time_series/2019-06-05/README.md</a></li> </ul>
Data for An alternative BEM of modeling in Wrr
<p>The data was used for the paper named "<strong>An alternative BEM of modeling </strong><strong>flow behavior of discretely and continuously fractured reservoir by use of a semi-analytical approach" which may be published in Water resources research.</strong></p>
RNA Pol III input data and output models
<p>This repository contains the input experimental data used in a tutorial on modeling of RNA Polymerase III and the largest cluster of output models.</p>
The prediction data analyzed in "Seasonal Arctic sea ice prediction using a newly developed fully coupled regional model with the assimilation of satellite sea ice observations"
<p>The outputs of seasonal predictions with the new modeling system analyzed in the article including:</p> <p>Sea ice concentration (SIC)</p> <p>Sea ice thickness (SIT)</p> <p>Sea surface temperature (SST)</p> <p>Near surface air temperature (T2) </p>
Data for Model Learning on base OPENNLP.docx
<p>Dataset for learning the OPENNLP model based on the Russian-language news feed of Yuri Gagarin State Technical University of Saratov.</p>
Data for "Neural space-time model for dynamic multi-shot imaging"
<p>Data for "Neural space-time model for dynamic multi-shot imaging"</p> <p>Link to preprint: <a href="https://www.biorxiv.org/content/10.1101/2024.01.16.575950">https://www.biorxiv.org/content/10.1101/2024.01.16.575950</a></p> <p>Code: <a href="https://github.com/rmcao/nstm">https://github.com/rmcao/nstm</a></p> <p> </p> <p>Raw images from structured illumination microscopy (SIM):</p> <ul> <li>beads.tif: a dense microbead sample with vibrating motion (Fig.2)</li> <li>mito.tif: a live RPE-1 cell expressing StayGold-tagged mitochondrial matrix protein (Fig.3)</li> <li>er.tif: a RPE-1 cell expressing StayGold-tagged endoplasmic reticulum (Fig.4)</li> <li>f-actin.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 (Extended Data Fig.6)</li> <li>f-actin_extradelay.tif: a live RPE-1 cell tagged with F-Actin Halo-JF585 with extra time delay between rotations (Extended Data Fig.6)</li> </ul> <p> </p> <p>Baseline reconstruction:</p> <ul> <li>beads_fairSIM.tif: conventional reconstruction of the dense microbead sample using fairSIM software (https://www.fairsim.org)</li> <li>mito_cudasirecon.tif: conventional reconstruction for a mitochondria-labeled cell (mito.tif) using cuda-accelerated SIM reconstruction software (https://github.com/scopetools/cudasirecon)</li> <li>er_cudasirecon.tif: conventional reconstruction for an endoplasmic reticulum-labeled cell (er.tif) using cuda-accelerated SIM reconstruction software</li> <li>f-actin_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell (f-actin.tif) using cuda-accelerated SIM reconstruction software</li> <li>f-actin_extradelay_cudasirecon.tif: conventional reconstruction for a F-Actin Halo-JF585 labeled cell with extra delay (f-actin_extradelay.tif) using cuda-accelerated SIM reconstruction software</li> </ul>
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.