Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Data access

Data access restrictions

Database access

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
  • 1 (current)
Found 8 result(s)

Dalhousie University Dataverse @ Borealis

Subject(s)
Content type(s)
Country
The Dalhousie University Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers, hosted by Borealis.

OceanRep GEOMAR Repository

GEOMAR Helmholtz Centre for Ocean Research Kiel

Subject(s)
Content type(s)
Country
GEOMAR Helmholtz Centre for Ocean Research Kiel is one of the leading marine science institutions in Europe. GEOMAR investigates the chemical, physical, biological, and geological processes in the oceans, as well as their interactions with the seafloor and the atmosphere. OceanRep is an open access digital collection containing the research output of GEOMAR staff and students. Included are journal articles, conference papers, book chapters, theses and more, - with fulltext, if available. Research data are linked to the publications entries.

B2SHARE Server Forschungszentrum Jülich

Subject(s)
Content type(s)
Country
B2SHARE allows publishing research data and belonging metadata. It supports different research communities with specific metadata schemas. This server is provided for researchers of the Research Centre Juelich and related communities.

Earth System Grid Federation

ESGF

Subject(s)
Content type(s)
Country
The Earth System Grid Federation (ESGF) is an international collaboration with a current focus on serving the World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project (CMIP) and supporting climate and environmental science in general. Data is searchable and available for download at the Federated ESGF-CoG Nodes https://esgf.llnl.gov/nodes.html

St. Edward's University institutional repository

St. Edward’s University Figshare

Subject(s)
Content type(s)
Country
Additionally to the institutional repository, current St. Edward's faculty have the option of uploading their work directly to their own SEU accounts on stedwards.figshare.com. Projects created on Figshare will automatically be published on this website as well. For more information, please see documentation

VMF Data Server

Vienna Mapping Functions Open Access Data

Subject(s)
Content type(s)
Country
This website provides a collection of all troposphere models published by TU Wien as well as all related data files.

Partnership for Interdisciplinary Studies of Coastal Oceans

PISCO

Subject(s)
Content type(s)
Country
PISCO researchers collect biological, chemical, and physical data about ocean ecosystems in the nearshore portions of the California Current Large Marine Ecosystem. Data are archived and used to create summaries and graphics, in order to ensure that the data can be used and understood by a diverse audience of managers, policy makers, scientists and the general public.

METIS

FMI’s Research Data Repository

Subject(s)
Content type(s)
Country
Finnish Meteorological Institute (FMI) research data repository METIS is provided by EUDAT and enables the institute data to be preserved, discovered, and accessed. FMI covers a wide range of research on weather, sea, climate and space. According to the FMI's Research Data policy , publicly funded research data must be made available to the widest possible audience (under CC BY license, at the minimum), as the best way to maximize the data impact but also to do justice to all the hard labor put into collecting, cleaning, and analyzing the data.