Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
747
datasets available to search
ShareScore release 0.7.1
Dataset results
747 results for “Open Data”
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>full</strong> data bundle to be used for rigorous research. It includes 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 MIT, <strong>different licenses and terms of use</strong> apply to the various input data, which are summarised 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>Terms of Use: </strong><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>natura/*</strong></p> <ul> <li>Natura 2000 natural protection areas</li> <li><strong>Source:</strong> <a href="https://www.eea.europa.eu/data-and-maps/data/natura-10">https://www.eea.europa.eu/data-and-maps/data/natura-10</a></li> <li><strong>Terms of Use:</strong><a href="https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata"> https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata</a></li> </ul> <p><strong>gebco/GEBCO_2014_2D.nc</strong></p> <ul> <li>GEBCO bathymetric dataset</li> <li><strong>Source:</strong> <a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/">https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/</a></li> <li><strong>Terms of Use: </strong><a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf">https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf</a></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>Terms of Use: <br></strong></li> <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_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>Terms of Use:</strong></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>GDP_per_capita_PPP_1990_2015_v2.nc</strong></p> <ul> <li>Gross Domestic Product per capita (PPP) from years 1999 to 2015</li> <li>Rectangular cutout for European countries in PyPSA-Eur, including a 10 km buffer</li> <li>Kummu et al. "Data from: Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015"</li> <li><strong>Source:</strong> https://doi.org/10.1038/sdata.2018.4 and associated dataset https://doi.org/10.1038/sdata.2018.4</li> </ul> <p><strong>ppp_2019_1km_Aggregated.tif</strong></p> <ul> <li>The spatial distribution of population in 2020: Estimated total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.</li> <li>Rectangular cutout for non-NUTS3 countries in PyPSA-Eur, i.e. MD and UA, including a 10 km buffer</li> <li>WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647</li> <li><strong>Source:</strong> https://data.humdata.org/dataset/worldpop-population-counts-for-world and https://hub.worldpop.org/geodata/summary?id=24777</li> <li><strong>License: </strong>Creative Commons Attribution 4.0 International Licens</li> </ul> <p><strong>data/bundle/era5-HDD-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level heating degree days in Europe for<br> 1941-2023. Used for rescaling heat demand in weather years not covered by<br> energy balance statistics.</p> <p><strong>data/bundle/era5-runoff-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level daily sum of runoff in Europe for<br> 1941-2023. Used for rescaling hydro-electricity availability in weather years<br> not covered by EIA hydro-generation statistics.</p> <p><strong>shipdensity_global.zip</strong></p> <ul> <li>Global Shipping Traffic Density</li> <li>Creative Commons Attribution 4.0</li> <li><a href="https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density">https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density</a></li> </ul> <p><strong>seawater_temperature.nc</strong></p> <ul> <li>Global Ocean Physics Reanalysis</li> <li>Seawater temperature at 5m depth</li> <li>Link: https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/services</li> <li>License: https://marine.copernicus.eu/user-corner/service-commitments-and-licence</li> </ul> <p><strong>hera_be_2013-03-01_to_2013-03-08.zip</strong></p> <ul> <li>Tilloy, A., Paprotny, D., Luc, F., Grimaldi, S., Goncalo, G., Hylcke, B., Lange, S., Bianchi, A. (2024): HERA: a high-resolution pan-European hydrological reanalysis (1950-2020).</li> <li>6-hourly river discharge and ambient temperature for 2019 at 1-arc minute spatial resolution. Subset to the PyPSA-Eur test cutout (2013-03-01 to 2013-03-08 for longitude 1.5 to 7 and latitude 49 to 52)</li> <li>Link: <a href="https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543">https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543</a></li> <li>License: <a href="https://data.jrc.ec.europa.eu/licence/com_reuse">https://data.jrc.ec.europa.eu/licence/com_reuse</a></li> </ul>
raw data - Causal relationship of immune cells and primary open-angle glaucoma: A Mendelian randomization study
Open the record for dataset details and reuse information.
Unofficial Kawasaki City Open Data Repository
<div> <div> <div># Unofficial Kawasaki City Open Data Repository</div> <div> </div> <div>## 0. 概要</div> <div> </div> <div>[本リポジトリ](https://doi.org/10.5281/zenodo.14252205)では、神奈川県川崎市の[オープンデータカタログページ](https://www.city.kawasaki.jp/main/opendata/opendata_list.html)で公開されているオープンデータと、それを加工したデータをまとめて公開しています。元のオープンデータは、2024 年 12 月 07 日にダウンロードしました。今後は折を見て更新予定です。</div> <div> </div> <div>### 更新履歴</div> <div> </div> <div>- Version v3 (2024-12-08):</div> <div> - 元データを更新</div> <div> - 元データダウンロード日: 2024 年 12 月 07 日</div> <div> - `list.tsv` のフォーマットを大幅変更</div> <div> - `list.tsv` を更新</div> <div> - `README.md` を更新</div> <div>- Version v2 (2024-12-01):</div> <div> - `README.md` を更新</div> <div>- Version v1 (2024-12-01):</div> <div> - リポジトリを公開</div> <div> - 元データダウンロード日: 2024 年 11 月 27 日から 28 日にかけての深夜</div> <div> </div> <div>## 1. 提供物</div> <div> </div> <div>提供物は `20241207.zip` にまとめられています。以下のようなディレクトリ構成になっています。</div> <div> </div> <div>- `20241207/`</div> <div> - `Converted/`</div> <div> - `001_Corrected_Extensions/`</div> <div> - ...</div> <div> - `Original/`</div> <div> - ...</div> <div> - `README.md`</div> <div> - `list.tsv`</div> <div> </div> <div>各ディレクトリ及びファイルの内容は次の通りです。</div> <div> </div> <div>### `Original/`</div> <div> </div> <div>このディレクトリには、神奈川県川崎市の[オープンデータカタログページ](https://www.city.kawasaki.jp/main/opendata/opendata_list.html)からコピーしたオープンデータのファイル群が含まれています。ファイルは、`https://www.city.kawasaki.jp/` 配下のディレクトリ構造に従い、`Original/www.city.kawasaki.jp/` 配下に配置されています。</div> <div> </div> <div>### `Converted/`</div> <div> </div> <div>このディレクトリには、`Original/` 配下のファイルをいくつかのステップ (2024 年 12 月 07 日現在、拡張子修正のステップのみ) で加工した結果が含まれています。</div> <div> </div> <div>#### `Converted/001_Corrected_Extensions/`</div> <div> </div> <div>`Original/` 配下のファイルのうち、拡張子に誤りがあったものを修正したファイルです。ファイルの内容に変更はありません。修正されたファイルは、`Original/` 配下のディレクトリ構造に従い、`Converted/001_Corrected_Extensions/` 配下に配置されています。</div> <div> </div> <div>### `list.tsv`</div> <div> </div> <div>このファイルは、`Original/` 配下の全てのファイルのうち元サイトに存在する (「2. 注意」参照) ファイルに関する情報の一覧です。9 列から成る TSV 形式ファイルで、各列の内容は次の通りです。</div> <div>- `Original`</div> <div> - リポジトリ内の `Original/` 配下のファイルのパス。</div> <div>- `Converted/001_Corrected_Extensions`</div> <div> - リポジトリ内の `Converted/001_Corrected_Extensions/` 配下の、対応するファイルとパス。対応するファイルがない場合は空欄。</div> <div>- `Data_URL`</div> <div> - ファイルの元サイトでの URL。</div> <div>- `HTML_URL`</div> <div> - ファイルが掲載されているウェブページの URL。</div> <div>- `Anchor`</div> <div> - 掲載ウェブページ上での当該ファイルのアンカーテキスト。</div> <div>- `Dataset_Title`</div> <div> - 掲載ウェブページ上で、当該ファイルを含む 1 個以上のファイルの囲みに書かれたタイトル。</div> <div>- `Subtitle`</div> <div> - 掲載ウェブページのサブタイトル (`<h2>` タグ)。ない場合は空欄。</div> <div>- `Title`</div> <div> - 掲載ウェブページのタイトル (`<h1>` タグ)。</div> <div>- `Breadcrumbs`</div> <div> - セミコロンで区切った、掲載ウェブページのパンくずリスト。</div> <div> </div> <div>### `README.md`</div> <div> </div> <div>このファイルです。</div> <div> </div> <div>## 2. 注意</div> <div> </div> <div>- `http://kawasaki.geocloud.jp/` 配下のファイルは、ライセンスの確認が取れていないため、含めていません。</div> <div>- [バリアフリーマップ](https://www.city.kawasaki.jp/kurashi/category/26-4-10-0-0-0-0-0-0-0.html)に掲載されている多くのファイルがリンク切れのため、このページにある全てのファイルを含めていません。</div> <div>- [令和4年就業構造基本調査結果](https://www.city.kawasaki.jp/170/page/0000157324.html)のアンカーテキスト「表13 男女、就業希望意識別無業者数(平成29年、令和4年)(XLS形式, 28.50KB)」に含まれるタブ文字は、`list.tsv` 作成の際に削除しました。</div> <div>- `Original/` 配下には存在するものの `list.tsv` に載っていないファイルがいくつかあります。これらは元サイトで、過去のダウンロードの際存在したが、現在は削除されたファイルです (恐らく更新のため)。こうしたファイルの取り扱いについては、今後見直しを予定しています。</div> <div>- 掲載ウェブページからの情報抽出に不備がある可能性があります(特に `Subtitle`)。今後、精査を予定しています。</div> <div> </div> <div>## 3. ライセンス</div> <div> </div> <div>元データ (`Original/` 配下の全てのファイル) のライセンスは川崎市が所有しています。加工データや本 `README.md` 等その他のファイルのライセンスは「Unofficial Kawasaki City Open Data Repository」が所有し、[Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/) に従います。</div> <div> </div> <div>- `Original/` ディレクトリ配下の全てのファイルは川崎市が提供するオープンデータのコピーであり、クレジット情報は次の通りです。</div> <div> </div> <div> > 川崎市オープンデータ、川崎市、クリエイティブ・コモンズ・ライセンス 表示 2.1 (http://creativecommons.org/licenses/by/2.1/jp/)</div> <div> </div> <div> これらのデータを利用・再配布する際には、[川崎市オープンデータ利用規約 (pdf)](https://www.city.kawasaki.jp/170/cmsfiles/contents/0000057/57493/kawasakiod_rules.pdf) に従ってクレジットを記載して下さい。</div> <div> </div> <div>- `Converted/` ディレクトリ配下の全てのファイルは、川崎市が提供するオープンデータを加工したデータです。この全ファイルは以下の著作物を改変して利用しています。</div> <div> </div> <div> > 川崎市オープンデータ、川崎市、クリエイティブ・コモンズ・ライセンス 表示 2.1 (http://creativecommons.org/licenses/by/2.1/jp/)</div> <div> </div> <div> これらのデータを利用・再配布する際には、[川崎市オープンデータ利用規約 (pdf)](https://www.city.kawasaki.jp/170/cmsfiles/contents/0000057/57493/kawasakiod_rules.pdf) に従ってクレジットを記載し、「Unofficial Kawasaki City Open Data Repository」のデータを利用している旨も任意の方法で記載して下さい。</div> <div> </div> <div>- その他のファイルを利用・再配布する際には、「Unofficial Kawasaki City Open Data Repository」のファイルを利用している旨を任意の方法で記載して下さい。</div> <div> </div> <div>## 4. 免責事項</div> <div> </div> <div>本リポジトリは、「現状のまま」提供されており、著作権者はその正確性、完全性、適用性、またはデータの利用によって生じた損害について、いかなる責任も負いません。利用者は、自己の責任で本リポジトリを利用するものとし、利用に際しては必要な確認や注意を行ってください。</div> <div> </div> <div>## 5. 連絡先</div> <div> </div> <div>- X (旧 Twitter): @lod_y15</div> <div>- GitHub: ytklod</div> <div> </div> </div> </div>
Data for A History of Open Weather in New Zealand (HOWNZ)
<p>Data for A History of Open Weather in New Zealand (HOWNZ): an open access 1 km resolution monthly 1910-2019 time-series of interpolated temperature and rainfall grids with associated uncertainty</p> <p>There is data for both:</p> <ul> <li>nni: the variable estimate from natural neighbour interpolation</li> <li>unc: the uncertainty of the variable estimate</li> </ul> <p>for four weather variables:</p> <ul> <li>rain: total rainfall</li> <li>tavg: mean air temperature</li> <li>tmin: mean daily minimum air temperature</li> <li>tmax: mean daily maximum air temperature</li> </ul> <p>and these variables help form the file names alongside the year and month.</p> <p>So for example, nni-rain-1910-01.tif contains the natural neighbour interpolated values for total rainfall in January 1910, and unc-tavg-1979-05.tif contains the uncertainty values for mean air temperature in May 1979.</p> <p>For storage efficiency when archiving the data, all data value were multiplied by 10 so that they could be stored as 16 bit integer files. Therefore, <strong>all the data needs to be divided by 10</strong> to restore the actual data values before the data is used for any analysis.</p>
Teaser | Introduction to Linked Open Data in Linguistics
<p>Professor Julia Bosque-Gil (University of Zaragoza, Spain) introduces the course she will lecture with Professor Thierry Declerck (German Research Center for Artificial Intelligence) in <em>Lisbon Summer School in Linguistics 2021</em>: "Introduction to Linked Open Data in Linguistics".</p> <p>Further information: https://clunl.fcsh.unl.pt/en/lisbon-summer-school-in-linguistics-2021/</p>
Supporting data to "Open-source, low-cost, in-situ turbidity sensor for river network monitoring"
<p>This folder contains the Supporting Dataset that is part of the Manuscript "Open-source, low-cost, in-situ turbidity sensor for river network monitoring."</p>
Fedora4: The Open Linked Data Platform
<p>Presentation at Open Repositories 2015 (OR2015), the 10th International Conference on Open Repositories, Indianapolis, Indiana, in session P1A: Linked Open Data (LOD). Note that high quality video files for this talk were not obtainable, so some video quality problems may be noticed.</p> <p>Linked Open Data has moved from being a buzzword to a fundamental building block of modern repositories and information systems. Its explosion, taking in this domain the form of scholarly and scientific datasets, publications, annotations, cultural heritage descriptions and other repository-based content, offers unprecedented opportunity for scientific and societal advancement. It is the interconnections that integrate systems and resources, however, that turn disparate ideas into unanticipated solutions.</p> <p>The Open Repositories community largely understands the value of linked data. The trouble has been in answering the question of “how?” to do this together, rather than "why?" do it at all. In order to be effective, we need to have solid guidelines, common practices, and well specified toolsets and products. A confluence of developments has opened the door to exactly this.</p> <p>In October of 2012, the initial W3C working draft of the Linked Data Platform 1.0 (LDP) document was published[2]. In July of 2012, the demand for a next-generation Fedora platform was channeled into the Fedora 4 (F4) project, which at the time was termed Fedora Futures. The alignment of these two stars set in motion events that provided both requirements and solutions for the community.</p>
Raw data for Orostica et al "Open-Source Incubator for DNA Assembly Reactions"
<p>Raw data for the manuscript "Open-Source Incubator for DNA Assembly Reactions"</p>
EUCoM Open Data
<p>Description to add</p>
Data for "Turbulence modulation in non-uniform open-channel clay suspension flows"
<p>This dataset details experimental results on the flow structure of clay-laden flows, for the first time isolating the effect of non-uniformity on spatial deceleration and acceleration in open-channel flows. </p>
Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study"
<p>Supplementary website containing result plots and data, anonymized raw data, and scripts used to produce the results of the paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study".</p>
Supplementary material 1 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Appendix 2.
Supplementary material 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Data quality issues: Accuracy - issues around data collection.
Figure 1 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 1 - Participants of the workshop on "Citizen Science and Open Data: a model for Invasive Alien Species in Europe". Image: COST Association.
Figure 4 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 4 - Flipchart with participants notes addressing the topic "Main characteristics of a model for a citizen participation replicable across different policies" during Session 1. Image: COST Association.
Figure 3 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 3 - Discussion of a round table through the "world café" method, addressing the topic "List of methods for mainstreaming inputs from CS in policy making including quality assurance and validations and other parameters" during Session 1. Image: COST Association.
Figure 2 from: Cardoso A, Tsiamis K, Gervasini E, Schade S, Taucer F, Adriaens T, Copas K, Flevaris S, Galiay P, Jennings E, Josefsson M, López B, Magan J, Marchante E, Montani E, Roy H, von Schomberg R, See L, Quintas M (2017) Citizen Science and Open Data: a model for Invasive Alien Species in Europe. Research Ideas and Outcomes 3: e14811. https://doi.org/10.3897/rio.3.e14811
Figure 2 - Discussion of a round table through the "world café" method, addressing the topic "List of successful case-studies and examples of good practices in environment and IAS" during Session 1. Image: COST Association.
Figure 1 from: Woolfrey L (2017) Data Management Plan: Opening access to economic data to prevent tobacco related diseases in Africa. Research Ideas and Outcomes 3: e14837. https://doi.org/10.3897/rio.3.e14837
Figure 1 - Tobacco Data in Africa Project Data Inventory 2016. Original data available as Suppl. material 1.
Open data of printed cells
Open the record for dataset details and reuse information.
Open data for cell culture
Open the record for dataset details and reuse information.
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.