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.
6
datasets available to search
ShareScore release 0.9.0
Dataset results
6 results for “FABLE”
FABLE Scenathon database 2021
<p>This database contains key parameters and variables from the 2021 Scenathon run by the <a href="http://fableconsortium.org/" target="_blank" rel="noopener">Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Consortium.</a> A scenathon - a scenario marathon - is a multi-objective challenge that allows a decentralized global modeling approach with multiple models developed by different teams in the world at national and regional scales and a methodology to link them, ensuring international trade consistency and tracking collective progress towards the achievement of global sustainability targets. </p> <p>The Scenathon 2021 database includes results at the global, country, and rest of the world region levels for indicators related to food and nutrition security, land and biodiversity, GHG emissions from agriculture and land use change, and agricultural input use. It also includes key parameters that can be used to explain the results, such as the evolution of productivity and all supply and use balance items at the commodity level. It is possible to visualise some of the key results on the <a href="http://scenathon.org/" target="_blank" rel="noopener">Scenathon dashboard</a>.</p> <p>Scope of the 2021 database:</p> <ul> <li><strong>Pathways</strong>: The Current Trends (CT) pathway reflects a low-ambition future shaped by existing policies. The Sustainable pathway identifies additional actions to align national and regional pathways with global sustainability targets.</li> <li><strong>Countries and regions</strong>: Argentina, Australia, Brazil, Canada, China, Colombia, Ethiopia, Finland, Germany, India, Indonesia, Malaysia, Mexico, Norway, Russia, Rwanda, Sweden, South Africa, the UK, and the United States and the rest of the world regions Rest of Asia and Pacific, Rest of Central and South America, Rest of European Union, Rest of Europe non-EU, Rest of Sub-Saharan Africa.</li> <li><strong>Time</strong>: 2000-2050. Results are provided for each five-year step.</li> <li><strong>Trade adjustment: </strong>results are provided before and after the trade adjustment; the total imports are balanced.</li> </ul> <p>The readme worksheet provides all the relevant information on the indicators and definitions of acronyms used in the database.</p>
FABLE Scenathon database 2020
<p>This database contains key parameters and variables from the 2020 Scenathon run by the Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Consortium. A scenathon - a scenario marathon - is a multi-objective challenge that allows a decentralized global modeling approach with multiple models developed by different teams in the world at national and regional scales and a methodology to link them, ensuring international trade consistency and tracking collective progress towards the achievement of global sustainability targets. </p> <p>The Scenathon 2020 database includes results at the global, country, and rest of the world region levels for indicators related to food and nutrition security, land and biodiversity, GHG emissions from agriculture and land use change, and agricultural input use. It also includes key parameters that can be used to explain the results, such as the evolution of productivity and all supply and use balance items at the commodity level. It is possible to visualise some of the key results on the Scenathon dashboard.</p> <p>Scope of the 2020 database:</p> <ul> <li><strong>Pathways</strong>: The Current Trends (CT) pathway reflects a low-ambition future shaped by existing policies. The Sustainable pathway identifies additional actions necessary to align national and regional pathways with global sustainability targets.</li> <li><strong>Countries and regions</strong>: Argentina, Australia, Brazil, Canada, China, Colombia, Ethiopia, Finland, Germany, India, Indonesia, Malaysia, Mexico, Norway, Russia, Rwanda, Sweden, South Africa, the UK, and the United States and the rest of the world regions Rest of Asia and Pacific, Rest of Central and South America, Rest of European Union, Rest of Europe non-EU, Rest of Sub-Saharan Africa.</li> <li><strong>Time</strong>: 2000-2050, results are provided for each five-year-time step.</li> <li><strong>Trade adjustment: </strong>results are provided before and after the trade adjustment; the total imports are balanced<strong>.</strong></li> </ul> <p>The readme worksheet provides all the relevant information on the indicators and definitions of acronyms used in the database.</p>
FABLE Scenathon database 2019
<p>This database contains key parameters and variables from the 2019 Scenathon run by the Food, Agriculture, Biodiversity, Land-Use, and Energy (FABLE) Consortium. A scenathon - a scenario marathon - is a multi-objective challenge that allows a decentralized global modeling approach with multiple models developed by different teams in the world at national and regional scales and a methodology to link them, ensuring international trade consistency and tracking collective progress towards the achievement of global sustainability targets. </p> <p>The Scenathon 2019 database includes results at the global, country, and rest of the world region levels for indicators related to food and nutrition security, land and biodiversity, GHG emissions from agriculture and land use change, and agricultural input use. It also includes key parameters that can be used to explain the results, such as the evolution of productivity and all supply and use balance items at the commodity level. It is possible to visualise some of the key results on the Scenathon dashboard.</p> <p>Scope of the 2019 database:</p> <ul> <li><strong>Pathways</strong>: The Current Trends (CT) pathway reflects a low-ambition future shaped by existing policies.</li> <li><strong>Countries and regions</strong>: Argentina, Australia, Brazil, Canada, China, Colombia, Ethiopia, Finland, Germany, India, Indonesia, Malaysia, Mexico, Russia, Rwanda, Sweden, South Africa, the UK, and the United States and Rest of America, Rest of Asia, Rest of Central Asia, Rest of European Union, Rest of Middle East, Rest of non-European Union, Rest of Pacific.</li> <li><strong>Time</strong>: 2000-2050, results are provided for each five-year-time step.</li> <li><strong>Trade adjustment: </strong>results are provided before and after the trade adjustment; the total imports are balanced<strong>.</strong></li> </ul> <p>The readme worksheet provides all the relevant information on the indicators and definitions of acronyms used in the database.</p>
Forsaken Fables
***Thanks to the original designer: [https://www.artstation.com/artwork/18Wev2](http://)*** ***Buy me a coffee if you want to support my free 3d models :D https://www.buymeacoffee.com/Lynnsan*** 1. * - *Model lowpoly- Maya* 1. * - *Highpoly- Zbrush* 1. * - *Texture- Substance Painter* 1. * - *8bits texture* 1. * - *Document resolution/size 2048x2048* 1. * - *UE4 Texture* 1. * - *71k Trist(Sword:17k+Contour:17k Stone:18+Contour:18k )* 1. * -Hi all! Here is my new model of Forsaken Fable![Original Designer:Mukhlis Nur(Sinlaire) 1. * -This modeling is entirely made with Maya, Zbrush and Substance Painter! 1. * -I hope you like it with the rest of my work, don't hesitate to tell me if you want more of this concept! :) 1. * -Really thank you for watching! :) 1. * -FREE FOR NON-COMMERCIAL send a message to ArtStation [ https://www.artstation.com/m4ty1k4 ] or send an e-mail [razornagya6@gmail.com] Source: Objaverse 1.0 / Sketchfab
FABLE Dataset
<p>Dataset used to train FABLE model.</p>
Book - Fables de La Fontaine
[](https://sketchfab.com/blogs/community/sketchfab-weekly/?ref=sfb) A Real Book i ve got in my Library , i made it for the Weekly Challenge on the Sketchfab Discord. Dimension : 31cm x 22cm x 5cm With some photo , i tried a new technique to match the real book , i baked the multy material one on the UV deployed one with Marmoset Toolbag and correct some mistake on Substance Painter. Source: Objaverse 1.0 / Sketchfab
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.