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Found 6 result(s)

Rothamsted Long-term Experiments Electronic Archive

e-RA

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E-RA provides a permanent managed repository and knowledgebase for secure storage of metadata and data from Rothamsted's Long-term Experiments, the oldest, continuous agronomic experiments in the world. Together with the accompanying meteorological records, associated documentation and sample archive, it is a unique historical record of experiments that have been measured continuously since 1843. e-RA provides comprehensive descriptions of Rothamsted's long-term experiments including Broadbalk Wheat, Park Grass Hay, Hoosfield Barley, Rothamsted and Woburn Ley Arables, and Long-term Liming. e-RA maintains long-term routine data collections including crop yields, quality traits, agronomic management, soil chemistry, disease, and botanical diversity. The experiments are available as a research infrastructure to scientists and scientists are encouraged to deposit any new data generated with e-RA.

FLOSSmole

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FLOSSmole is a collaborative collection of free, libre, and open source software (FLOSS) data. FLOSSmole contains nearly 1 TB of data covering the period 2004 until now, about more than 500,000 different open source projects.

INGV Open Data Registry

Registro Dati INGV

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The INGV Data Registry collects the metadata describing the Research Data that are the result of the scientific production of INGV and/or managed and/or published by INGV, regardless of whether these data are static or dynamic, and regardless of the procedures followed for their creation. The Data Registry is publicly accessible through INGV’s institutional Web portal https://data.ingv.it/, and use thereof aims at satisfying needs within INGV, but also the needs of outside users.

Portal of Medical Data Models

MDM Portal

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MDM-Portal (Medical Data Models) is a meta-data registry for creating, analyzing, sharing and reusing medical forms. It serves as an infrastructure for academic (non-commercial) medical research to contribute a solution to this problem. It contains forms in the system-independent CDISC Operational Data Model (ODM) format with more than 500,000 data-elements. The Portal provides numerous core data sets, common data elements or data standards, code lists and value sets. This enables researchers to view, discuss, download and export forms in most common technical formats such as PDF, CSV, Excel, SQL, SPSS, R, etc.

ImmPort

Immunology Database and Analysis Portal

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The Immunology Database and Analysis Portal (ImmPort) archives clinical study and trial data generated by NIAID/DAIT-funded investigators. Data types housed in ImmPort include subject assessments i.e., medical history, concomitant medications and adverse events as well as mechanistic assay data such as flow cytometry, ELISA, ELISPOT, etc. --- You won't need an ImmPort account to search for compelling studies, peruse study demographics, interventions and mechanistic assays. But why stop there? What you really want to do is download the study, look at each experiment in detail including individual ELISA results and flow cytometry files. Perhaps you want to take those flow cytometry files for a test drive using FLOCK in the ImmPort flow cytometry module. To download all that interesting data you will need to register for ImmPort access.

University Information System RUSSIA

Databases and analytical publications

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The University Information System RUSSIA (UIS RUSSIA) is a mutual project of Research Computing Center and Economic Faculty at Lomonosov Moscow State University. It was introduced in 2000 and has been designed as a digital library for research and educational purposes, primarily in the fields of economic and social sciences. Since then it was maintained to meet the growing interest and challenges of the Russian universities and educational community. Starting from 2003 our development team concentrated on statistical databases to build an infrastructure for educational courses, to assist broad Russian social and economic studies from regional to local and down to household level. Today profound knowledge of statistical data and ability to implement advanced modern methods of applied analysis are expected from successful university graduates and are in high demand among new specialists, particularly in economics, public administration and related areas.