Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
Found 121 result(s)
The goal of NGEE–Arctic is to reduce uncertainty in projections of future climate by developing and validating a model representation of permafrost ecosystems and incorporating that representation into Earth system models. The new modeling capabilities will improve our confidence in model projections and will enable scientist to better respond to questions about processes and interactions now and in the future. It also will allow them to better communicate important results concerning climate change to decision makers and the general public. And let's not forget about summer in the Antarctic, which happens during our winter months.
The Maine Dataverse Network is a cloud-based data repository intended to act as a long-term archive and to facilitate data sharing among the research community in accordance with NSF, NIH, NASA and other granting authority data management plan requirements. The Maine Dataverse Network offers a convenient and secure method of sharing and archiving data and is made available to the Maine research community at no cost.
Country
Yale-NUS Dataverse is the institutional research data repository of Yale-NUS College. The goals of Yale-NUS Dataverse are to collect, preserve and showcase the research output of Yale-NUS researchers and through this, increase the research visibility of Yale-NUS researchers and demonstrate the research excellence of Yale-NUS College to the world.
ZENODO builds and operates a simple and innovative service that enables researchers, scientists, EU projects and institutions to share and showcase multidisciplinary research results (data and publications) that are not part of the existing institutional or subject-based repositories of the research communities. ZENODO enables researchers, scientists, EU projects and institutions to: easily share the long tail of small research results in a wide variety of formats including text, spreadsheets, audio, video, and images across all fields of science. display their research results and get credited by making the research results citable and integrate them into existing reporting lines to funding agencies like the European Commission. easily access and reuse shared research results.
Within WASCAL a large number of heterogeneous data are collected. These data are mainly coming from different initiated research activities within WASCAL (Core Research Program, Graduate School Program) from the hydrological-meteorological, remote sensing, biodiversity and socio economic observation networks within WASCAL, and from the activities of the WASCAL Competence Center in Ouagadougou, Burkina-Faso.
Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.
The repository is part of the National Research Data Infrastructure initiative Text+, in which the University of Tübingen is a partner. It is housed at the Department of General and Computational Linguistics. The infrastructure is maintained in close cooperation with the Digital Humanities Centre, which is a core facility of the university, colaborating with the library and computing center of the university. Integration of the repository into the national CLARIN-D and international CLARIN infrastructures gives it wide exposure, increasing the likelihood that the resources will be used and further developed beyond the lifetime of the projects in which they were developed. Among the resources currently available in the Tübingen Center Repository, researchers can find widely used treebanks of German (e.g. TüBa-D/Z), the German wordnet (GermaNet), the first manually annotated digital treebank (Index Thomisticus), as well as descriptions of the tools used by the WebLicht ecosystem for natural language processing.
The National Data Archive on Child Abuse and Neglect (NDACAN) promotes scholarly exchange among researchers in the child maltreatment field. NDACAN acquires microdata from leading researchers and national data collection efforts and makes these datasets available to the research community for secondary analysis.
The Stanford Digital Repository (SDR) is Stanford Libraries' digital preservation system. The core repository provides “back-office” preservation services – data replication, auditing, media migration, and retrieval -- in a secure, sustainable, scalable stewardship environment. Scholars and researchers across disciplines at Stanford use SDR repository services to provide ongoing, persistent, reliable access to their research outputs.
York Digital Library (YODL) is a University-wide Digital Library service for multimedia resources used in or created through teaching, research and study at the University of York. YODL complements the University's research publications, held in White Rose Research Online and PURE, and the digital teaching materials in the University's Yorkshare Virtual Learning Environment. YODL contains a range of collections, including images, past exam papers, masters dissertations and audio. Some of these are available only to members of the University of York, whilst other material is available to the public. YODL is expanding with more content being added all the time
N U C A S T R O D A T A . O R G is your WWW resource for utilizing nuclear information in studies of astrophysical systems. This site hyperlinks all online nuclear astrophysics datasets, hosts the Computational Infrastructure for Nuclear Astrophysics, and provides a mechnanism for researchers to share files online. We created the first online "cloud computing" system for nuclear astrophysics, a virtual pipeline that enables results from the nuclear laboratory to be rapidly incorporated into astrophysical simulations. This system, the Computational Infrastructure for Nuclear Astrophysics or CINA, came online at nucastrodata.org
BeiDare2 is currently at beta version. All new users should try the new service as we no longer provide training for the classic BioDare. - BioDare stands for Biological Data Repository, its main focus is data from circadian experiments. BioDare is an online facility to share, store, analyse and disseminate timeseries data, focussing on circadian clock data, with browser and web service interfaces. Toolbox features include an improved, speedier FFT-NLLs routine and ROBuST’s Spectrum Resampling tool that will analyse rhythmic time series data.
UCL Discovery is UCL's open access repository, showcasing and providing access to UCL research publications. UCL Discovery accepts small scale datasets associated with publications.
Country
DBT is the institutional repository of the FSU Jena, the TU Ilmenau and the University of Erfurt as well as members of the other Thuringian universities and colleges can publish scientific documents in the DBT. In individual cases, land users (via the ThULB Jena) can also archive documents in the DBT.
SWISSUbase is a national cross-disciplinary solution for Swiss universities and other research organisations in need of local institutional data repositories for their researchers. SWISSUbase offers to the Swiss research institutions a tool for the curation, preservation, and dissemination of scientific research data and for the storage of information on ongoing and completed research projects in the country. The platform relies on international archiving standards and processes to ensure that data are preserved and accessible in the long-term. Datasets are curated by Data Service Units (DSU). DSU LaRS – Language Repository of Switzerland: https://www.lars.uzh.ch/en.html
The NF Data Portal is designed to help openly explore and share NF datasets, analysis tools, resources, and publications related to neurofibromatosis. Anyone can join the NF Open Science Initiative (NF-OSI) to participate! We welcome contributions from anyone in the neurofibromatosis and schwannomatosis research community, such as original datasets generated by the community or analyses of data from the NF Data Portal.
Institutional repository of the University of Bern. BORIS Portal allows researchers at the University of Bern to archive and manage research data as well as project and funding information, to make it accessible and clearly identifiable.