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https://ahed.nasa.gov

Astrobiology Habitable Environments Database (AHED) is a new data system being developed as a long-term, open-access repository for astrobiology data. AHED is intended to store user-contributed results from NASA or externally-funded research in astrobiology, and to encourage sharing and synergy within the astrobiology community.

Proper citation: Astrobiology Habitable Environments Database (RRID:SCR_023133) Copy   

•   Source: SciCrunch Registry

http://researchdata.aston.ac.uk/

Aston University's repository for their research data. It is one of three services providing information about Aston University�s research. Aston Publications Explorer holds Aston's research publications and Aston Research Explorer has broader information about Aston's research work including research staff, awards and activities, projects and research groups.Metadata will be accessible to anyone free of charge. The metadata may be re-used in any medium without prior permission and re-sold commercially provided the repository is mentioned.Aston�s repository holds datasets and corresponding metadata that have been produced by Aston University staff and students. The datasets deposited in Aston Publications Explorer range from metadata records only through to full datasets. Content is the sole responsibility of the authors, and any questions over content should be directed to them.Aston Data Explorer, Aston Publications Explorer AND Aston Research Explorer allow users to re-use full-text and other full-data items under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (CC BY NC ND) licence. This means that users must give appropriate credit to the authors and link to the licence. Users may not re-use the material for commercial purposes. Users cannot distribute material that has been remixed, transformed or built upon the original published output. Where a full-text or other full-data item has a licence that is more restrictive or permissive than the CC BY NC ND default licence, this licence should be adhered to.

Proper citation: Aston Data Explorer (RRID:SCR_023132) Copy   

•   Source: SciCrunch Registry

http://arch.library.northwestern.edu/

Arch is an open access repository for the research and scholarly output of Northwestern University. Log in with your NetID to deposit, describe, and organize your research for public access and long-term preservation. We'll use our expertise to help you curate, share, and preserve your work.

Proper citation: Arch (RRID:SCR_023130) Copy   

•   Source: SciCrunch Registry

https://www.vosesoftware.com/products/modelrisk/

Monte Carlo simulation software that makes quantitative risk analysis intuitive. Monte Carlo simulation Excel add-in that allows user to include uncertainty in their spreadsheet models.

Proper citation: ModelRisk (RRID:SCR_022836) Copy   

•   Source: SciCrunch Registry

http://www.cosmos-fp7.eu

A group which aims to create open standards for metabolomics data shsaring and analysis.

Proper citation: Coordination of Standards in Metabolomics (RRID:SCR_014662) Copy   

•   Source: SciCrunch Registry

https://qdr.syr.edu/

Archive for storing and sharing digital data (and accompanying documentation) generated or collected through qualitative and multi method research in social sciences. QDR provides data management consulting services and actively curates all data projects, maintaining value and usefulness of data over time, and ensuring their availability and findability for re-use.

Proper citation: Qualitative Data Repository (RRID:SCR_022833) Copy   

•   Source: SciCrunch Registry

https://www.palisade.com/risk/

Software is add-in tool for Microsoft Excel that computes and tracks many different possible scenarios in model using Monte Carlo simulation.Helps make better decisions through risk modeling and analysis.

Proper citation: atRISK (RRID:SCR_022837) Copy   

•   Source: SciCrunch Registry

http://www.brainhealthdatabank.ca

Repository of many types and sources of data including, but not limited to, assessments, imaging, wearable, and biological samples, collected from research projects at the Centre for Addiction and Mental Health. Data that individuals choose to share to advance mental health.

Proper citation: BrainHealth Databank (RRID:SCR_022996) Copy   

•   Source: SciCrunch Registry

http://www.polardata.ca

Repository of metadata and data that describes and provides access to diverse data sets generated by Arctic and Antarctic researchers.Metadata records follow ISO 19115 and Federal Geographic Data Committee standard formats to provide exchange with other data centres.Records cover wide range of disciplines from natural sciences and policy, to health and social sciences. The PDC Geospatial Search tool is available to the public and researchers alike and allows searching data using mapping interface and other parameters.

Proper citation: Canadian Polar Data Network (RRID:SCR_023143) Copy   

•   Source: SciCrunch Registry

https://bolin.su.se/data/

Provides open access to Climate and Earth System Data from scientists at the centre and their collaborators. Helps to make your data open, FAIR and visually appealing. Each dataset and source code in the Bolin Centre Database is assigned a unique DOI. This makes it easy to cite and find your data. If dataset has more than one version, each version will have its own DOI.

Proper citation: Bolin Centre Database (RRID:SCR_023142) Copy   

•   Source: SciCrunch Registry

https://www.braincommons.org/

Scalable cloud-based platform for computational discovery designed for the brain health community.The BRAINCommons empowers the global research community by providing access to multi-model data, state-of-the-art tools and a secure interoperable system for data sharing.

Proper citation: BRAIN Commons (RRID:SCR_023140) Copy   

•   Source: SciCrunch Registry

https://researchdata.bbk.ac.uk

Repository allows all researchers at Birkbeck to upload data, and get DOI.Data in the Birkbeck Data Repository is stored on Arkivum server.This is a very secure storage space, which will allow our data to remain unchanged and accessible for many years after it is deposited.

Proper citation: Birkbeck Research Data (RRID:SCR_023139) Copy   

•   Source: SciCrunch Registry

https://dmportal.biodata.pt/

Portuguese distributed infrastructure for biological data and Portuguese node of ELIXIR.

Proper citation: BioData Management Portal (RRID:SCR_023138) Copy   

•   Source: SciCrunch Registry

http://archive.stsci.edu/

Astronomical data archive focused on optical, ultraviolet, and near infrared. Used for maximizing scientific accessibility and productivity of astronomical data. MAST hosts data from over dozen missions like Webb, Hubble, TESS, Kepler, and in the future Roman.

Proper citation: Barbara A. Mikulski Archive for Space Telescopes (RRID:SCR_023137) Copy   

•   Source: SciCrunch Registry

https://github.com/saeyslab/nichenetr

Software tool as R implementation of NicheNet method to predict active ligand-target links between interacting cells. NicheNet uses human or mouse gene expression data of interacting cells as input and combines this with prior model that integrates existing knowledge on ligand-to-target signaling paths. This allows to predict ligand-receptor interactions that might drive gene expression changes in cells of interest.

Proper citation: NicheNet (RRID:SCR_023158) Copy   

•   Source: SciCrunch Registry

https://github.com/openMetadataInitiative/openMINDS_SANDS

One of the metadata models of openMINDS metadata framework. Composed of modular metadata schemas for spatial anchoring of neuroscience data structures, including brain atlas definitions.

Proper citation: openMINDS SANDS metadata model (RRID:SCR_023498) Copy   

•   Source: SciCrunch Registry

https://awi.cuhk.edu.cn/KinasePhos/download.html

Software tool for redesign and expansion of prediction on kinase specific phosphorylation sites. Machine learning based kinase specific phosphorylation site prediction tool.

Proper citation: KinasePhos 3.0 (RRID:SCR_023595) Copy   

•   Source: SciCrunch Registry

https://rth.dk/resources/risearch/

Software tool for prediction of RNA–RNA, RNA–DNA, and DNA–DNA interactions. Both RIsearch1 and RIsearch2 enable quick localisation of potential near complementary interactions between given query and target sequences. RIsearch1 performs computation with whole sequences. RIsearch2 focuses on perfect complementary seed regions and extends them on both ends. User defined seed and extension constraints makes RIsearch2 applicable to all kinds of interaction predictions (e.g., siRNA and Cas9–gRNA off-target predictions).

Proper citation: RIsearch (RRID:SCR_023503) Copy   

•   Source: SciCrunch Registry

https://github.com/CompSynBioLab-KoreaUniv/FunGAP

Software tool to predict protein coding genes in fungal genome assembly. Performs gene prediction on given genome assembly and RNA-seq reads. Runs multiple gene predictors, evaluates all predicted genes, and assembles gene models that are highly supported by homology to known sequences.

Proper citation: FunGAP (RRID:SCR_023213) Copy   

•   Source: SciCrunch Registry

https://github.com/rrwick/Filtlong

Software tool for filtering long reads by quality.Can take set of long reads and produce smaller, better subset. Uses both read length and read identity when choosing which reads pass the filter.

Proper citation: Filtlong (RRID:SCR_024020) Copy   

•   Source: SciCrunch Registry