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http://www.ldeo.columbia.edu/core-repository

Core repository and one of the world's most unique and important collections of scientific samples from the deep sea. Sediment cores from every major ocean and sea are archived at the Core Repository. The collection contains approximately 72,000 meters of core composed of 9,700 piston cores; 7,000 trigger weight cores; and 2,000 other cores such as box, kasten, and large diameter gravity cores. They also hold 4,000 dredge and grab samples, including a large collection of manganese nodules, many of which were recovered by submersibles. Over 100,000 residues are stored and are available for sampling where core material is expended. In addition to physical samples, a database of the Lamont core collection has been maintained for nearly 50 years and contains information on the geographic location of each collection site, core length, mineralogy and paleontology, lithology, and structure, and more recently, the full text of megascopic descriptions. Samples from cores and dredges, as well as descriptions of cores and dredges (including digital images and other cruise information), are provided to scientific investigators upon request. Materials for educational purposes and museum displays may also be made available in limited quantities when requests are adequately justified. Various services and data analyses, including core archiving, carbonate analyses, grain size analyses, and RGB line scan imaging, GRAPE, P-wave velocity and magnetic susceptibility runs, can also be provided at cost. The Repository operates a number of labs and instruments dedicated to making fundamental measurements on material entering the repository including several non-destructive methods. Instruments for conducting and/or assisting with analyses of deep-sea sediments include a GeoTek Multi-Sensor Core Logger, a UIC coulometer, a Micromeritics sedigraph, Vane Shear, X-radiograph, Sonic Sifter, freeze dryer, as well as a variety of microscopes, sieves, and sampling tools. They also make these instruments available to the scientific community for conducting analyses of deep-sea sediments. If you are interested in borrowing any field equipment, please contact the Repository Curator.

Proper citation: Lamont-Doherty Core Repository (RRID:SCR_002216) Copy   

•   Source: SciCrunch Registry

http://imkhp2.physik.uni-karlsruhe.de/~muehr/wetterwerte.html

Data sets of current German weather stations updated hourly or every twelve hours. Data sets, in German, include: * Daily mean values ??of temperature, updated hourly. Daily archive since 29.1.2008 * Daily maximum and minimum temperature, updated every 12 hours. Daily archive since 21.7.2008 * Monthly mean values ??of temperature and deviation, updated daily . * Rainfall in the last 12 hours and monthly total, updated every 12 hours . * Monthly totals of precipitation and relative to langj. means in%, updated every 12 hours. Monthly Archive since Feb. 2008 * Air pressure and pressure tendency, updated hourly.

Proper citation: Current German Weather Stations (RRID:SCR_003611) Copy   

•   Source: SciCrunch Registry

http://www.ig.utexas.edu/sdc/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 1, 2023. Database of processed seismic reflection / refraction data providing access to metadata, SEG-Y files, navigation files, seismic profile images, processing histories and more. The main features of the web site include a geographic search engine using Google Plugins, a metadata search engine, and metadata pages for the various seismic programs. Metadata are uploaded into mySQL, a public-domain SQL server, and then PHP scripts query the metadata and directories, creating web pages, displaying images, and providing ftp links.

Proper citation: Academic Seismic Portal at UTIG (RRID:SCR_000403) 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://data.4tu.nl/portal

International data repository for science, engineering and design. Services include curation, sharing, long-term access and preservation of research datasets. These services are available to anyone around the world. In addition, 4TU.ResearchData also offers training and resources to researchers to support them in making research data findable, accessible, interoperable and reproducible (FAIR).

Proper citation: 4TU.ResearchData (RRID:SCR_023125) Copy   

•   Source: SciCrunch Registry

https://portal.aodn.org.au/

Interoperable online network of marine and climate data resources.AODN Portal provides access to all available Australian marine and climate science data and provides the primary access to IMOS data.

Proper citation: Australian Ocean Data Network (RRID:SCR_023134) 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://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://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

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

http://www.icpsr.umich.edu/

Data archive of more than 500,000 files of research in the social sciences, hosting 16 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. ICPSR comprises a consortium of about 700 academic institutions and research organizations providing training in data access, curation, and methods of analysis for the social science research community. ICPSR welcomes and encourages deposits of digital data. ICPSR's educational activities include the Summer Program in Quantitative Methods of Social Research external link, a comprehensive curriculum of intensive courses in research design, statistics, data analysis, and social methodology. ICPSR also leads several initiatives that encourage use of data in teaching, particularly for undergraduate instruction. ICPSR-sponsored research focuses on the emerging challenges of digital curation and data science. ICPSR researchers also examine substantive issues related to our collections, with an emphasis on historical demography and the environment.

Proper citation: Inter-university Consortium for Political and Social Research (ICPSR) (RRID:SCR_003194) Copy   

•   Source: SciCrunch Registry

http://isps.yale.edu/research/data

Data archive to assist in the sharing of research grade information pertaining to the social and economic sciences. The majority of digital content currently consists of social science research data from experiments, program files with the code for analyzing the data, requisite documentation to use and understand the data, and associated files. Access to the ISPS Data Archive is provided at no cost and is granted for scholarship and research purposes only. When possible, Data is linked to Projects and Publications, via the ISPS KnowledgeBase. ISPS operates in accordance with the prevailing standards and practices of the digital preservation community including the Open Archival Information System (OAIS) Reference Model (ISO 14721:2003) and the Data Documentation Initiative (DDI) standard. Accordingly, ISPS supports digital life-cycle management, interoperability, and preferred methods of preservation. The ISPS Data Archive is intended for use by social science researchers, policy-makers, and practitioners who are conducting or analyzing field (and other) experiments in various social science disciplines. Currently, Replication Files originate with ISPS-affiliated scholars.

Proper citation: ISPS Data Archive (RRID:SCR_003127) Copy   

•   Source: SciCrunch Registry

https://osf.io/

Platform to support research and enable collaboration. Used to discover projects, data, materials, and collaborators helpful to your own research.

Proper citation: Open Science Framework (RRID:SCR_003238) Copy   

•   Source: SciCrunch Registry

http://phenome.jax.org/

Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility.

Proper citation: Mouse Phenome Database (MPD) (RRID:SCR_003212) Copy   

•   Source: SciCrunch Registry

http://www.emdataresource.org/

Portal for deposition and retrieval of cryo electron microscopy (3DEM) density maps, atomic models, and associated metadata. Global resource for 3 Dimensional Electron Microscopy structure data archiving and retrieval, news, events, software tools, data standards, validation methods.

Proper citation: EMDataResource.org (RRID:SCR_003207) Copy   

•   Source: SciCrunch Registry

http://dip.doe-mbi.ucla.edu/

Database to catalog experimentally determined interactions between proteins combining information from a variety of sources to create a single, consistent set of protein-protein interactions that can be downloaded in a variety of formats. The data were curated, both, manually and also automatically using computational approaches that utilize the the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. Because the reliability of experimental evidence varies widely, methods of quality assessment have been developed and utilized to identify the most reliable subset of the interactions. This CORE set can be used as a reference when evaluating the reliability of high-throughput protein-protein interaction data sets, for development of prediction methods, as well as in the studies of the properties of protein interaction networks. Tools are available to analyze, visualize and integrate user's own experimental data with the information about protein-protein interactions available in the DIP database. The DIP database lists protein pairs that are known to interact with each other. By interact they mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organization and complexity of the protein interaction network at the cellular level. Registration is required to gain access to most of the DIP features. Registration is free to the members of the academic community. Trial accounts for the commercial users are also available.

Proper citation: Database of Interacting Proteins (DIP) (RRID:SCR_003167) Copy   

•   Source: SciCrunch Registry

http://www.cellimagelibrary.org/

Freely accessible, public repository of vetted and annotated microscopic images, videos, and animations of cells from a variety of organisms, showcasing cell architecture, intracellular functionalities, and both normal and abnormal processes. Explore by Cell Process, Cell Component, Cell Type or Organism. The Cell includes images acquired from historical and modern collections, publications, and by recruitment.

Proper citation: Cell Image Library (CIL) (RRID:SCR_003510) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/pride/

Centralized, standards compliant, public data repository for proteomics data, including protein and peptide identifications, post-translational modifications and supporting spectral evidence. Originally it was developed to provide a common data exchange format and repository to support proteomics literature publications. This remit has grown with PRIDE, with the hope that PRIDE will provide a reference set of tissue-based identifications for use by the community. The future development of PRIDE has become closely linked to HUPO PSI. PRIDE encourages and welcomes direct user submissions of protein and peptide identification data to be published in peer-reviewed publications. Users may Browse public datasets, use PRIDE BioMart for custom queries, or download the data directly from the FTP site. PRIDE has been developed through a collaboration of the EMBL-EBI, Ghent University in Belgium, and the University of Manchester.

Proper citation: Proteomics Identifications (PRIDE) (RRID:SCR_003411) Copy   

•   Source: SciCrunch Registry

http://www.reactome.org

Collection of pathways and pathway annotations. The core unit of the Reactome data model is the reaction. Entities (nucleic acids, proteins, complexes and small molecules) participating in reactions form a network of biological interactions and are grouped into pathways (signaling, innate and acquired immune function, transcriptional regulation, translation, apoptosis and classical intermediary metabolism) . Provides website to navigate pathway knowledge and a suite of data analysis tools to support the pathway-based analysis of complex experimental and computational data sets.

Proper citation: Reactome (RRID:SCR_003485) Copy   

•   Source: SciCrunch Registry