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Found 31 result(s)

Sound and Vision

Beeld en Geluid

Subject(s)
Content type(s)
Country
Sound and Vision has one of the largest audiovisual archives in Europe. The institute manages over 70 percent of the Dutch audiovisual heritage. The collection contains more than a million hours of television, radio, music and film from the beginning in 1898 until today. All programs of the Dutch public broadcasters come in digitally every day. Individuals and institutions entrust their collection to Sound and Vision as well. The institute ensures that the material is optimally preserved for (re)use. Broadcasters, producers and editors use the archive for the creation of new programs. The collection is also used to develop products and services for a wide audience, such as exhibitions, iPhone applications, DVD boxes and various websites. The collection of Sound and Vision contains the complete radio and television archives of the Dutch public broadcasters; films of virtually every leading Dutch documentary maker; newsreels; the national music depot; various audiovisual corporate collections; advertising, radio and video material of cultural and social organizations, of scientific institutes and of all kinds of educational institutions. There are also collections of images and articles from the history of Dutch broadcasting itself, like the elaborate collection of historical television sets.

Paris Astronomical Data Centre

PADC

Subject(s)
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Country
Paris Astronomical Data Centre aims at providing VO access to its data collections, at participating to international standards developments, at implementing VO compliant simulation codes, data visualization and analysis software. This centre hosts high level permanent activities for tools and data distribution under the format of reference services. These sustainable services are recognized at the national level as CNRS labeled services. The various activities are organised as portals whose functions are to provide visibility and information on the projects and to encourage collaboration.

SLAPIS

SLAPIS Early Warning System

Subject(s)
Content type(s)
Country
SLAPIS is an integrated Flood Early Warning System that aims to promote decision-making and behavioral changes from reactive to proactive at several levels, from the community to the administration, for the reduction of flood risk in the Communes of the Sirba (main tributary of the Niger River and cause of the main floods in the region)

PSnpBind

Subject(s)
Content type(s)
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PSnpBind is a large database of protein–ligand complexes covering a wide range of binding pocket mutations and small molecules’ landscape. This database can be used as a source of data for different types of studies, for example, developing machine learning algorithms to predict protein–ligand affinity or mutation's effect on it which requires an extensive amount of data with a wide coverage of mutation types and small molecules. Also, studies of protein-ligand interactions and conformer orientation changes across different mutated versions of a protein can be established using data from PSnpBind.

RADAR4Chem

Subject(s)
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RADAR4Chem is a low-threshold and easy-to use service for sustainable publication and preservation of research data from all disciplines of chemistry. It offers free publication for any data type and format according to the FAIR principles, independent of the researcher´s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers in the field of chemistry at publicly funded research institutions and universities in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.

Preclinical Image DAtaset Repository

PIDAR

Subject(s)
Content type(s)
Country
The Preclinical Image DAtaset Repository (PIDAR) is a public repository of metadata information of preclinical image datasets from any imaging modality associated to peer-review publications. The metadata information are organized in a proper schema to create a standard metadata model for preclinical imaging.