Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Data access

Data access restrictions

Database access

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
  • 1 (current)
Found 13 result(s)
Content type(s)
Country
A digital collection of Early Christian Greek Inscriptions from Asia Minor and Greece.
RC content presented through one of our portals is peer reviewed, while the remaining expositions and other information are quality controlled by the individual author(s) themselves. As a result, the RC is highly inclusive. The open source status of the RC is essential to its nature and serves its function as a connective and transitional layer between academic discourse and artistic practice, thereby constituting a discursive field for artistic research.
Country
Based on Bowerman & Pederson’s Topological Relations Picture Series (TRPS), the author has researched the semantic space of static spatial prepositions of Hieroglyphic Ancient Egyptian (Egyptian, Afro-Asiatic), Arabic, English, French, German, Hebrew, Italian, Russian, and Spanish. This repository publication publishes the raw data.
The collection contains computed images (ortho-photos), camera photos, and wall plans of the textual witness of the Egyptian Netherworld Book, "Book of Caverns", in the tomb of Petamenophis in the necropolis of Thebes in Egypt (TT 33).
Pandora is an open data platform devoted to the study of the human story. Data may be deposited from various disciplines and research topics that investigate humans from their early beginnings until present in addition to their environmental context (e.g. archeology, anthropology history, ancient DNA, isotopes, zooarchaeology, archaeobotany, and paleoenvironmental and paleoclimatic studies, etc.). Pandora allows autonomous data communities to self-manage their webspace and community membership. Data communities self-curate their data plus other supporting resources. Datasets may be assigned a new DOI and a schema markup is employed to improve data findability. Pandora also allows for links to datasets stored externally and having previously assigned DOIs. Through this, it becomes possible to establish data networks devoted to specific topics that may combine a mix of datasets stored either within Pandora or externally.
York University Libraries makes available Borealis for despositing data . Borealis is a an instance of Dataverse hosted by The Ontario Council of University Libraries, of which York University Libraries is a member.
Country
The research project “Textile Revolution” integrates studies on the introduction and spread of the woolly sheep and wool usage from different scientific fields. Wool production is closely connected to the domesticated sheep and specifically to those animals that carry a woolly coat. With the keeping of woolly sheep, not only did the economy of prehistoric communities change, but also the textile technology, meaning both, the tools and the techniques for thread and textile making.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.
Country
The research data of the last 6000 years were produced using global and regional climate simulations. Climate models of the present and future climate are applied as background for the simulations. The global climate was simulated in a high spatial resolution by using the so-called time slice approach for chosen periods in the past 6000 years.