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ROARMAP Open Access Policy data - Country list
<p>This data is a sub set of a dump from ROARMAP [http://roarmap.eprints.org/] taken on 24th August 2014.</p> <p>ROARMAP is the Registry of Open Access Repository Mandates and Policies, a searchable international registry charting the growth of open access mandates and policies adopted by universities, research institutions and research funders that require or request their researchers to provide open access to their peer-reviewed research article output by depositing it in an open access repository.</p> <p>Number of Open Access policies and a ranking is shown for each country.</p> <p>The data is being used for a series of data visualisations [http://pasteur4oa-dataviz.okfn.org/] for the PATEUR4OA Project [http://pasteur4oa.eu/].</p> <p> </p> <p>PASTEUR4OA (Open Access Policy Alignment Strategies for European Union Research) aims to support the European Commission’s Recommendation to Member States of July 2012 that they develop and implement policies to ensure Open Access to all outputs from publicly-funded research. </p> <p>PASTEUR4OA will help develop and/or reinforce open access strategies and policies at the national level and facilitate their coordination among all Member States. It will build a network of centres of expertise in Member States that will develop a coordinated and collaborative programme of activities in support of policymaking at the national level under the direction of project partners.</p>
Numbers and shares of Open Access Journals from all disciplines and from the discipline Sociology using Creative Commons Licenses as listed by the Directory of Open Access Journals (2014-06-08)
<p>These files contains the data on frequencies and shares of Open Access journals using Creative Commons Licenses (comparing journals from all disciplines and sociologial journals). Date of data collection: 2014-06-08.</p>
Supplementary material accompanying "Factoring lexical and phonetic phylogenetic characters from word lists"
<p>This repository contains the scripts and the data that were used to run the analyses for the paper "Factoring lexical and phonetic phylogenetic characters from word lists". For details, please refer to the README.md file provided along with the dataset. If you run into problems replicating the analysis, please do not hesitate to contact the authors.</p>
Indexed scientific articles for the seven journals listed on the Design Society website and all papers indexed for the DESIGN and ICED conferences
<p>Includes all articles indexed by Scopus® for the seven journals listed on the Design Society website and all papers indexed for DESIGN and ICED (accessed on 05/Nov/2016).</p> <p>The full search query used to extract the articles is:</p> <p>"( SRCTITLE ( "Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM" OR "Journal of Engineering Design" OR "Design Studies" OR "Research in Engineering Design" OR "CoDesign" OR "Journal of Design Research" OR "Design Science Journal" OR "The International Journal of Design Creativity and Innovation" OR "International Conference on Engineering Design" OR "INTERNATIONAL DESIGN CONFERENCE" ) ) AND ( "data collection" OR "data acquisition" OR "data source" OR database OR "empirical data" OR "empirical grounding" OR interview OR documents OR "data logs" OR "case study" OR observation OR experiment* OR "empirical finding*" OR "empirical result*" ) AND ( EXCLUDE ( EXACTSRCTITLE , "Hardware Software Codesign Proceedings Of The International Workshop" ) OR EXCLUDE ( EXACTSRCTITLE , "Journal Of Engineering Design And Technology" ) OR EXCLUDE ( EXACTSRCTITLE , "Research In Engineering Design Theory Applications And Concurrent Engineering" ) OR EXCLUDE ( EXACTSRCTITLE , "Chinese Journal Of Engineering Design" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2005 International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 12 Proceedings Of The 10th ACM International Conference On Hardware Software Codesign And System Synthesis Co Located With Esweek" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2006 Proceedings Of The 4th International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Codes Isss 2007 International Conference On Hardware Software Codesign And System Synthesis" ) OR EXCLUDE ( EXACTSRCTITLE , "Embedded Systems Week 2008 Proceedings Of The 6th IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2008" ) OR EXCLUDE ( EXACTSRCTITLE , "Second IEEE ACM IFIP International Conference On Hardware Software Codesign And Systems Synthesis Codes Isss 2004" ) OR EXCLUDE ( EXACTSRCTITLE , "Embedded Systems Week 2011 Esweek 2011 Proceedings Of The 9th IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 11" ) OR EXCLUDE ( EXACTSRCTITLE , "2010 IEEE ACM IFIP International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2010" ) OR EXCLUDE ( EXACTSRCTITLE , "2013 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2013" ) OR EXCLUDE ( EXACTSRCTITLE , "2014 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2014" ) OR EXCLUDE ( EXACTSRCTITLE , "2015 ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2015" ) OR EXCLUDE ( EXACTSRCTITLE , "8th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2010" ) ) AND ( EXCLUDE ( EXACTSRCTITLE , "2015 International Conference On Hardware Software Codesign And System Synthesis Codes Isss 2015" ) OR EXCLUDE ( EXACTSRCTITLE , "9th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2011" ) OR EXCLUDE ( EXACTSRCTITLE , "11th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2013" ) OR EXCLUDE ( EXACTSRCTITLE , "10th ACM IEEE International Conference On Formal Methods And Models For Codesign Memocode 2012" ) OR EXCLUDE ( EXACTSRCTITLE , "A Practical Introduction To Hardware Software Codesign" ) )"</p> <p>The keywords used in the article "DATA-DRIVEN ENGINEERING DESIGN RESEARCH: OPPORTUNITIES USING OPEN DATA" are:</p> <p>"data collection" OR "data acquisition" OR "data source" OR database OR "empirical data" OR "empirical grounding" OR interview OR documents OR "data logs" OR "case study" OR observation OR experiment* OR "empirical finding*" OR "empirical result*"</p>
List of human genes and their probabilities of being intolerant to heterozygous protein truncating variants.
<p>Recalculation of the Supplementary Table 2 (doi:10.1371/journal.pcbi.1004647.s002) of the journal article "The Characteristics of Heterozygous Protein Truncating Variants in the Human Genome" by Bartha and Rausell published in PLoS Computational Biology (http://dx.doi.org/10.1371/journal.pcbi.1004647). Probabilities in this dataset were computed using human variation data from the Exome Aggregation Consortium (http://exac.broadinstitute.org/).</p> <p>Methods described in that article is relevant for this dataset. All author and affiliation information in that article is relevant for this dataset.</p> <p>Credit for the original human variation data is for the Exome Aggregation Consortium (http://exac.broadinstitute.org/, doi:10.1038/nature19057).</p>
Moore grantee list of articles
<p>Data collected on publications authored by grantees of the Gordon and Betty Moore Foundation from 2001 - 2017. Data are based on self reporting from grantees and Crossref FundRef search. <strong>These data are not intended to represent a complete list of publications from grantees.</strong> This data was used to understand the potential impacts of an open access policy under consideration at the Moore Foundation. </p>
World Flora Online Plant List June 2025
<p>The consensus taxonomy of plants used as the backbone for the <a href="https://www.worldfloraonline.org/">World Flora Online</a> (WFO) portal, and issued as editions of the <a href="https://wfoplantlist.org/">WFO Plant List</a>.</p> <p>New versions of this checklist are released every six months in June and December: this is release 2025-06.</p> <p>The history of data development for the WFO taxonomic backbone is given on the WFO Plant List <a href="https://wfoplantlist.org/background">background page</a>. Taxonomic names are incorporated into WFO from nomenclators <a href="https://www.ipni.org/">International Plant Name Index</a> (IPNI) for vascular plants, and <a href="https://www.tropicos.org/home">Tropicos</a> for bryophytes. Taxonomic and nomenclatural updates are incorporated from the WFO's <a href="https://about.worldfloraonline.org/tens">Taxonomic Expert Networks</a> (TENs) and the <a href="https://powo.science.kew.org/about-wcvp">World Checklist of Vascular Plants</a> (WCVP), facilitated by the Royal Botanic Gardens, Kew.</p> <p>This data repository includes the following files:</p> <ul> <li><strong>wfo_plantlist_2025-06.zip</strong> The Catalogue of Life Data Package of the WFO Plant List. This is the most expressive standards based form of the list.</li> <li><strong>plant_list_2025-06.json.gz</strong> JSON formatted version of the WFO Plant List. This has been designed for direct import into a schemaless instance of a SOLR index and is used to drive the WFO Plant List API (<a href="https://list.worldfloraonline.org">https://list.worldfloraonline.org</a>) which in turn drives the WFO Plant List in the portal. This is recommended if you want a local, read only version of the list rather than use the API.</li> <li><strong>plant_list_2025-06.sql.gz</strong> This is the complete production database (minus API keys) as a MySQL backup file. It can be restored directly to a MySQL 8.0 or later instance if you require the list in SQL format.</li> <li><strong>ipni_to_wfo.csv.gz</strong> A file mapping all the IPNI IDs we track to their associated WFO IDs.</li> <li><strong>families_dwc.tar.gz</strong> Individual Darwin Core Archive files for each of 733 recognized families. If you want a single family in DwC but can't load the whole list download and expand this file. Family and genus files are also available for download through the portal. These files exclude deprecated names.</li> <li><strong>_DwC_backbone_R.zip</strong> A single Darwin Core Archive file containing non deprecated names and taxa for use in the existing R package.</li> <li><strong>_uber.zip</strong> A single Darwin Core Archive file containing all names and taxa even those that are deprecated along with some extra columns</li> </ul>
List of past crowd crushes
<p>List of past crowd crushes (until 2022) based on six existing sources: <a href="https://en.wikipedia.org/w/index.php?title=List_of_fatal_crowd_crushes&oldid=1136597272">Wikipedia</a>, <a href="https://github.com/Mind-the-Cap/Observatory/tree/main/Wikidata">Wikidata</a>, <a href="https://www.gkstill.com/ExpertWitness/CrowdDisasters.html">Keith Still's list</a>, the <a href="https://yorku.maps.arcgis.com/apps/webappviewer/index.html?id=e7c52856187642e19bd227865393432c">World Crowd Disasters Web App</a>, the <a href="https://www.workingwithcrowds.com/crowd-disasters-and-incidents/">Working with Crowds website</a> and <a href="https://link.springer.com/book/10.1007/978-3-030-90012-0">Introduction to Crowd Management</a></p>
Towards sustainable food consumption: reference list
<p>This dataset includes all the bibliographic references from the SAPEA evidence review report 'Towards a sustainable food system'.</p>
Phlorest phylogeny derived from Chacon & List 2015 'Improved computational models of sound change shed light on the history of the Tukanoan languages'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Chacon TC, List J-M (2015) Improved computational models of sound change shed light on the history of the Tukanoan languages. Journal of Language Relationship, 3:177–203.</p> </blockquote>
S102 | PARCPFAS | List of PFAS from PARC WP4
<p>This is the collection associated with list S102 PARCPFAS List of PFAS from PARC WP4 on the NORMAN Suspect List Exchange.</p><p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p><p>A list of PFAS prioritized by Work Package 4 (WP4, Task 4.2) in the European Partnership for the Assessment of Risks from Chemicals (<a href="https://www.anses.fr/en/content/european-partnership-assessment-risks-chemicals-parc">PARC</a>), provided by Stefano Polesello and Sara Valsecchi, Water Research Institute - National Research Council of Italy (<a href="http://www.irsa.cnr.it">IRSA-CNR</a>), Italy. </p><p>Update 3 Dec 2023: updated ClPFCEA structures (rows 45b,c,d&f) upon discussion with Sara. </p>
LIST
<p>The <em>Latin Inscriptions in Space and Time</em> (LIST) dataset is an aggregate of the Epigraphic Database Heidelberg (<a href="https://edh.ub.uni-heidelberg.de/">https://edh.ub.uni-heidelberg.de/</a>); <a href="https://zenodo.org/record/7303886">aggregated EDH on Zenodo</a> and Epigraphic Database Clauss Slaby (<a href="http://www.manfredclauss.de/">http://www.manfredclauss.de/</a>); <a href="https://zenodo.org/record/7072337">aggregated EDCS on Zenodo</a> epigraphic datasets created by the <strong>Social Dynamics in the Ancient Mediterranean Project</strong> (SDAM), 2019-2023, funded by the Aarhus University Forskningsfond Starting grant no. AUFF-E-2018-7-2. The LIST dataset consists of 525,870 inscriptions, enriched by 65 attributes. 77,091 inscriptions are overlapping between the two source datasets (i.e. EDH and EDCS); 3,316 inscriptions are exclusively from EDH; 445,463 inscriptions are exclusively from EDCS. 511,973 inscriptions have valid geospatial coordinates (the <code>geometry</code> attribute). This information is also used to determine the urban context of each inscription (i.e. whether it is in the neighbourhood (i.e. within a 5000m buffer) of a large city, medium city, or small city or rural (>5000m to any type of city; see the attributes <code>urban_context</code>, <code>urban_context_city</code>, and <code>urban_context_pop</code>). 206,570 inscriptions have a numerical date of origin expressed by means of an interval or singular year using the attributes <code>not_before</code> and <code>not_after</code>. The dataset also employs a machine learning model to classify the inscriptions covered exclusively by EDCS in terms of 22 categories employed by EDH, see <a href="https://ceur-ws.org/Vol-2989/short_paper12.pdf">Kaše, Heřmánková, Sobotkova 2021</a>.</p> <p><strong>Formats</strong></p> <p>We publish the dataset in the parquet and geojson file format. A description of individual attributes is available in the Metadata.csv. Using <code>geopandas</code> library, you can load the data directly from Zenodo into your Python environment using the following command: <code>LIST = gpd.read_parquet("</code>https://zenodo.org/record/8431323/files/LIST_v1-0.parquet?download=1"<code>)</code>. In R, the sfarrow and sf library hold tools (st_read_parquet(), read_sf()) to load a parquet and geojson respectively after you have downloaded the datasets locally. The scripts used to generate the dataset are available via GitHub: <a href="https://github.com/sdam-au/LI_ETL">https://github.com/sdam-au/LI_ETL</a></p> <p>The origin of existing attributes is further described in columns ‘dataset_source’, ‘source’, and ‘description’ in the attached Metadata.csv.</p> <p><strong>Further reading on the dataset creation and methodology:</strong></p> <ul> <li>Heřmánková, Petra, Vojtěch Kaše, and Adéla Sobotkova. “Inscriptions as Data: Digital Epigraphy in Macro-Historical Perspective.” Journal of Digital History 1, no. 1 (2021): 99. <a href="https://doi.org/10.1515/jdh-2021-1004">https://doi.org/10.1515/jdh-2021-1004</a>.</li> <li>Kaše, Vojtěch, Petra Heřmánková, and Adéla Sobotkova. “Classifying Latin Inscriptions of the Roman Empire: A Machine-Learning Approach.” Proceedings of the 2nd Workshop on Computational Humanities Research (CHR2021) 2989 (2021): 123–35.</li> </ul> <p><strong>Reading on applications of the datasets in research:</strong></p> <ul> <li>Glomb, Tomáš, Vojtěch Kaše, and Petra Heřmánková. “Popularity of the Cult of Asclepius in the Times of the Antonine Plague: Temporal Modeling of Epigraphic Evidence.” Journal of Archaeological Science: Reports 43 (2022): 103466. <a href="https://doi.org/10.1016/j.jasrep.2022.103466">https://doi.org/10.1016/j.jasrep.2022.103466</a>.</li> <li>Kaše, Vojtěch, Petra Heřmánková, and Adéla Sobotková. “Division of Labor, Specialization and Diversity in the Ancient Roman Cities: A Quantitative Approach to Latin Epigraphy.” Edited by Peter F. Biehl. PLOS ONE 17, no. 6 (June 16, 2022): e0269869. <a href="https://doi.org/10.1371/journal.pone.0269869">https://doi.org/10.1371/journal.pone.0269869</a>.</li> </ul> <p><strong>Notes on spatial attributes</strong></p> <p>Machine-readable spatial point geometries are provided within the geojson and parquet formats, as well as ‘Latitude’ and ‘Longitude’ columns, which contain geospatial decimal coordinates where these are known. Additional attributes exist that contain textual references to original location at different scales. The most reliable attribute with textual information on place of origin is the urban_context_city. This contains the ancient toponym of the largest city within a 5 km distance from the inscription findspot, using cities from Hanson’s 2016 list. After these universal attributes, the remaining columns are source-dependent, and exist only for either EDH or EDCS subsets. ‘pleiades_id’ column, for example, cross references the inscription findspot to geospatial location in the Pleiades but only in the EDH subset. ‘place’ attribute exists for data from EDCS (Ort) and contains ancient as well as modern place names referring to the findspot or region of provenance separated by “/”. This column requires additional cleaning before computational analysis. Attributes with _clean affix indicate that the text string has been stripped of symbols (such as ?), and most refer to aspects of provenance in the EDH subset of inscriptions.</p> <p>List of all spatial attributes:</p> <ul> <li>‘geometry’ spatial point coordinate pair, ready for computational use in R or Python ‘latitude’ and ‘longitude’ attributes contain geospatial coordinates</li> <li>‘urban_context_city’ attribute contains a name (ancient toponym) of the city determining the urban context, based on Hanson 2016.</li> <li>‘province’ attribute contains province names as they appear in EDCS. This attribute contains data only for inscriptions appearing in EDCS, for inscriptions appearing solely in EDH this attribute is empty.</li> <li>‘pleiades_id’ provides a referent for the geographic location in Pleiades (<a href="https://pleiades.stoa.org/">https://pleiades.stoa.org/</a>), provided by EDH. In EDCS this attribute is empty.</li> <li>‘province_label_clean’ attribute contains province names as they appear in EDH. This attribute contains data only for inscriptions appearing in EDH, for inscriptions appearing solely in EDCS this attribute is empty.</li> <li>‘findspot_ancient_clean’, ‘findspot_modern_clean’, ‘country_clean’, ‘modern_region_clean’, and ‘present_location’ are additional EDH metadata, for their description see the attached Metadata file.</li> </ul> <p><em>Disclaimer</em></p> <p>The original data is provided by the third party indicated as the data source (see the ‘data_source’ column in the Metadata.csv). SDAM did not create the original data, vouch for its accuracy, or guarantee that it is the most recent data available from the data provider. For many or all of the data, the data is by its nature approximate and will contain some inaccuracies or missing values. The data may contain errors introduced by the data provider(s) and/or by SDAM. We always recommend checking the accuracy directly in the primary source, i.e. the <em>editio princeps</em> of the inscription in question.</p>
List of HOM/DAM Radio Sources crossings during Juno's 45 first perijoves
<p>This data is associated with Collet 2024 (JGR) A new type of "Jovian hectometric radiation powered by monoenergetic electron beams" in review.</p> <p>This document shows a dataset of HOM/DAM sources detected during the 45 first Juno perijoves. These sources are identified from Juno/Waves measurements with the criterion fce<f<fce+1% from Louis (2019).</p>
S109 | PARCEDC | List of 7074 potential endocrine disrupting compounds (EDCs) by PARC T4.2
<p>This is the collection associated with list S109 PARCEDC List of 7074 potential endocrine disrupting compounds (EDCs) by PARC T4.2 on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <div>A comprehensive list of 7074 endocrine disruptors compiled by PARC T4.2., integrating assessments by EU and national regulators, contributions from entities like the European Chemicals Agency (ECHA)and complemented by other potential endocrine disruptors (hormones, bisphenols, etc.).The list also includes potentially active endocrine disruptors screened from all substances in the NORMAN SusDat database (https://www.norman-network.com/nds/susdat/) using VEGA (QSAR) EDC prediction models (https://www.vegahub.eu/about-qsar), ToxCast database's in vitro assay data and ToxCast based machine learning predictions.</div> <div> </div> <div>List kindly provided by Sandrine Andres and Valeria Dulio, INERIS.</div>
List of Standards with relevance to a DPP-IT-Framework
<p>The ESPR specifies essential requirements for the DPP system in its Articles 9 and 10, and Annex III. Based on these high-level requirements, the EU Commission is mandating the European Standardisation Organisations (ESO’s) to propose harmonized standards for the DPP system based on appropriate existing and new standards corresponding to a number of areas of standardisation. It is requested by the Commission that these standards should be available by the end of 2025. To be in compliance with the data system requirements of the DPP, upcoming DPP solutions will need to comply with the identified standards.</p> <p>One of the objectives of CIRPASS is to contribute to this effort by sharing useful results with standardisation organisations to support their work. To this end, CIRPASS identified an initial list of existing standards relevant for the establishment and operation of a cross-sectoral DPP system.</p> <p>A list of more than 300 standards, organized according to area of standardisation, was elaborated and their relevance for the areas of standardization was graded. Note that the CIRPASS proposal for the DPP System is embedded in the existing infrastructure of our networked society. This means that the architecture itself makes the assumption of the existence of the Internet and the Web with its underlying Common Technical Specifications. Many of the standards listed in this dataset make the same assumption.</p>
List of countries and NDCs in the NDC-SDG Connections: Data on updated NDC submissions (V2)
<p>NDC-SDG Connections is a joint initiative of the German Institute of Development and Sustainability (IDOS) and the Stockholm Environment Institute (SEI). The research and visualisation project aims at illuminating synergies between the 2030 Agenda for Sustainable Development and the Paris Agreement, and at identifying entry points for coherent policies that promote just, sustainable and climate-smart development.</p> <p>The objective of the NDC-SDG Connections is to: foster a dialogue on meaningful interaction between the 2030 Agenda and the Paris Agreement, globally and at the national level; to increase transparency with easy accessibility to all climate activities; and to cultivate learning and catalyse partnerships between countries and other actors to raise the ambition of future NDCs.</p> <p>With its second version, the NDC-SDG Connections project opened its data for public re-use. <br><br>This dataset contains a list of the countries and NDCs which are included in the NDC-SDG Connections tool as part of updated NDC submissions (V2), in .xlxs format. It is a complement to the dataset available at: https://doi.org/10.5281/zenodo.11400384 <br><br><strong>Visit the Online Data Visualisation to interact directly with the data: www.NDC-SDG.info</strong></p>
S89 | PRORISKPFAS | List of PFAS Compiled from NORMAN SusDat
<p>This is the collection associated with list S89 PRORISKPFAS, List of PFAS Compiled from NORMAN-SusDat on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>A compiled list of 4777 PFAS compounds occurring in NORMAN SusDat, created by merging SLE lists S9, S14, S25, S46, and S80 and searching for additional fluorinated content in SusDat. Provided by Kelsey Ng, EI. Manuscript in preparation entitled: "Target and suspect screening of PFAS in wastewater, river water, ground water and biota samples in the Danube River Basin"</p> <p>Mapping to CID and DTXSID provided by ECI. v0.1.2: fixed NS00111947 to correct structure (CID 85993549 not 53471611).</p>
Water Body Checklists 2019: Adriatic Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Adriatic Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Water Body Checklists 2019: Ceram Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the Ceram Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
A subset of the EMARS dataset in MY24 and MY26 converted from the sigma-p hybrid coordinate to the pressure coordinate and a list of local dust storms detected during the MYs in western Arcadia Planitia
<p>This dataset includes a subset of EMARS' background mean data (Greybush et al., 2019) converted from the sigma-p hybrid coordinate to the pressure coordinate. Only MY24 and MY26 were used to generate the figures shown in Ogohara (submitted to JGR Planets). <br>Updates from the original EMARS are:</p> <ul> <li>The vertical coordinate has been converted from the sigma-p hybrid coordinate to the pressure coordinate.</li> <li>The variables expressing the Earth date (e.g., year, month, day, etc.) have been combined into one variable, earth_date.</li> <li>A new variable, emars_date, has been created from emars_sol and mars_hour.</li> </ul> <p>In addition, this dataset provides two lists of local dust storms events during MY24 and MY26 which were detected in western Arcadia Planitia using a deep learning-based method proposed by Ogohara and Gichu (2022). The lists are:</p> <ul> <li>[Data Set S1] List of global image swath files examined. Only file names of MGS/MOC red band images are listed. The list consists of 5 columns indicating image ID, observation date, orbit number, solar longitude, and filter name (RED).</li> <li>[Data Set S2] List of global image swath files containing identified dust storms, as well as some attributes of the detected dust storms. Only file names of red band images are listed. The list consists of 7 columns indicating image ID, observation date, orbit number, solar longitude, center longitude and latitude, and area (km2.)</li> </ul>
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.