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Found 6 result(s)

RENAG-DC

REseau NAtional GNSS permanent

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Within the RESIF-EPOS observation research infrastructure and the Action Spécifique RESIF-GNSS action, the Reseau National GNSS permanent (RENAG) is the network of GNSS observation stations of French universities and research organizations. It is currently composed of 85 GNSS stations (Global Navigation Satellite System such as GPS, GLONASS, Galileo). The scientific objectives of RESIF-RENAG range from the quantification of the slow deformation in France to the sounding of the atmosphere (troposphere and ionosphere), through the measurement of sea-level variations and the characterization of transient movements related to overloads. Data production is carried out in a distributed way by the laboratories and organizations that manage the stations. 12 teams are specifically in charge of station maintenance and of accurately filling in the metadata files. A single data center, RENAG-DC, hosted at the Observatoire de la Côte d'Azur (OCA) within the Geoazur laboratory, is in charge of data management, from their collection to their distribution in the standard RINEX format (http://renag.resif.fr).

D-PLACE

Database of Places, Language, Culture and Environment

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D-PLACE contains cultural, linguistic, environmental and geographic information for over 1400 human ‘societies’. A ‘society’ in D-PLACE represents a group of people in a particular locality, who often share a language and cultural identity. All cultural descriptions are tagged with the date to which they refer and with the ethnographic sources that provided the descriptions. The majority of the cultural descriptions in D-PLACE are based on ethnographic work carried out in the 19th and early-20th centuries (pre-1950).

ICRISAT Dataverse

International Crops Research Institute for the Semi-Arid Tropics Dataverse Network

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ICRISAT performs crop improvement research, using conventional as well as methods derived from biotechnology, on the following crops: Chickpea, Pigeonpea, Groundnut, Pearl millet,Sorghum and Small millets. ICRISAT's data repository collects, preserves and facilitates access to the datasets produced by ICRISAT researchers to all users who are interested in. Data includes Phenotypic, Genotypic, Social Science, and Spatial data, Soil and Weather.

Ag-Analytics

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Ag-Analytics is an online open source database of various economic and environmental data. It automates the collection, formatting, and processing of several different commonly used datasets, such as the National Agricultural Statistics Service (NASS), the Agricultural Marketing Service (AMS), Risk Management agency (RMA), the PRISM weather database, and the U.S. Commodity Futures Trading Commission (CFTC). All the data have been cleaned and well-documented to save users the inconvenience of scraping and cleaning the data themselves.

Swedish Meteorological and Hydrological Institute open data

SMHI open data

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SMHI's observation stations collect large quantities of data, including temperature, precipitation, wind, air pressure, lightning, solar radiation and ozone. Satellites and radar installations are also important sources. Data is presented continuously on smhi.se and used in SMHI's various weather services. In the Explorer SMHI’s data ( http://opendata-catalog.smhi.se/explore/ ) you find data available with open access (in Swedish). Information in English on Oceanographic observations, Model data (HIROMB BS01), Machine to machine – feeds, and Conditions of use.

HydroShare

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HydroShare is a system operated by The Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that enables users to share and publish data and models in a variety of flexible formats, and to make this information available in a citable, shareable and discoverable manner. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare providing users with a gateway to high performance computing and computing in the cloud. With HydroShare you can: share data and models with colleagues; manage access to shared content; share, access, visualize, and manipulate a broad set of hydrologic data types and models; publish data and models and obtain a citable digital object identifier (DOI); aggregate resources into collections; discover and access data and models published by others; use the web services application programming interface (API) to programmatically access resources; and use integrated web applications to visualize, analyze and run models with data in HydroShare.