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About 10,000 papers for “Data cube”

Data Cube

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios

Cited by 0Open access

Data Cube

Shashi Shekhar, Hui Xiong, Xun Zhou · Encyclopedia of GIS · 2017

Cited by 0

Data cube.

Sumana Kalyanasundaram (16617892), Yohan Lefol (16617895), Sveinung Gundersen (774998) et al. · Figshare · 2023

<p>Schematic overview of the hGSuite tool that uses the concept of a data cube and its different dimensions. The figure indicates the initial collection and preparation of data, through customization of data using the metadata, to the statistical evaluation for aiding a biological hypothesis. The input is a set of genomic tracks that are converted to GSuite with a hierarchy defined based on the metadata. The data along with metadata can be fitted in a cube that has dimensions based on the hierarchy. The second part of the figure illustrates the different ways in which the data can be viewed in a cube. The cube can then be sliced from different dimensions based on the user query to get the desired output.</p>

Cited by 0Open access

Eurostat data cube

Daniel Loos · Zenodo (CERN European Organization for Nuclear Research) · 2026

This is your unnofficial data cube gateway to eurostat, allowing you to use temporal census data in xarray, e.g., to combine it with satellite imagery. Motivation Statistical data collection is designed to show the spatial distribution of features at a given reporting period. This makes it easy to generate a map but difficult to analyse time series. Some features are reported monthly, others annually. In addition, statistical NUTS regions may change their name, id, and even boundaries over time, making it challenging to track what happened at a given geographical region. This project provides a harmonised and aggregated view on eurostat data, providing arrays with constant spatiotemporal boundaries. Features subset of Eurostat datasets initially created for the Planetary Health Index follows xarray and CF Conventions bulk download of eurostat including meta data All regions are aggregated or upsampled to NUTS3 as of version 2024 All timespans are aggregated or upsampled to quarters Accounts for NUTS region splits and merges weighted by population using nuts::nuts_convert_version Disclaimer This project is a re-analysis of the official data of eurostat. Values were modified during aggregation. The codebase may still contain errors that can lead to false interpretation of the data. Use the products at your own risk. We are not affiliated with eurostat.

Cited by 0Open access

Earth Data Cube

Mahecha, Miguel · Figshare · 2017

Earth Data Cube

Cited by 0Open access

Eurostat data cube

Daniel Loos · Zenodo (CERN European Organization for Nuclear Research) · 2026

This is your unnofficial data cube gateway to eurostat, allowing you to use temporal census data in xarray, e.g., to combine it with satellite imagery. Motivation Statistical data collection is designed to show the spatial distribution of features at a given reporting period. This makes it easy to generate a map but difficult to analyse time series. Some features are reported monthly, others annually. In addition, statistical NUTS regions may change their name, id, and even boundaries over time, making it challenging to track what happened at a given geographical region. This project provides a harmonised and aggregated view on eurostat data, providing arrays with constant spatiotemporal boundaries. Features subset of Eurostat datasets initially created for the Planetary Health Index follows xarray and CF Conventions bulk download of eurostat including meta data All regions are aggregated or upsampled to NUTS3 as of version 2024 All timespans are aggregated or upsampled to quarters Accounts for NUTS region splits and merges weighted by population using nuts::nuts_convert_version Disclaimer This project is a re-analysis of the official data of eurostat. Values were modified during aggregation. The codebase may still contain errors that can lead to false interpretation of the data. Use the products at your own risk. We are not affiliated with eurostat.

Cited by 0Open access

Data Cube Visualization

Dittrich, Petr · Brno University of Technology Digital Library (Brno University of Technology) · 2009

The topic of the master's thesis is a concept and implementation of the prototype application TOPZ demostrating the data warehouse. All theoretical facts about the data storage space are discussed at first. It is also specified the areas of possible improvements of the data warehouse. The specification of requirements and concept of the demonstration application are described in the following part. Testing the performace of the data warehouse is discussed in last chapter.

Cited by 0

VAMPIRES data cube

Barnaby Norris · Zenodo (CERN European Organization for Nuclear Research) · 2021

A single temporal data cube from the VAMPIRES subinstrument on Subaru/SCExAO. This data was taken at high frequency (~40 Hz) and is used to test lucky imaging techniques.

Cited by 0Open access

XML-based data cube

Xiaoling Wang, Yisheng Dong · 2002

This paper focuses on modeling the evolution of data for a data warehouse. Digging into the World Wide Web to find behind-the-browser information and to manage this semi-structured data are challenges, and a data warehouse is a good solution to provide an exclusive business environment for mass data storage and management. We observe that there is great similarity between the data model in a data warehouse and XML data. The paper shows how to build a map between data in XML and a data cube in a data warehouse, and it gives an algebra for an XML-based data cube, in order to cope with the evolving data in a data warehouse.

Cited by 1

Mexican Geospatial Data Cube

Juarez, Jimena · TIB KMO / FLOWWORKS GmbH · 2021

The Mexican Geospatial Data Cube is an open source tool that enables smart access, management and processing of large volumes of satelite data. The applications of such tool in the field of information production are endless. During this talk we will share the most innovative ways in which the Data Cube is supporting different domains such as water, vegetation and urban growth.

Cited by 0Open access

3D hyperspectral data cube.

Ben O. L. Mellors (9379563), Abigail M. Spear (3157005), Christopher R. Howle (9379566) et al. · Figshare · 2020

<p>Visual representation of three example images from the NCI imager forming a 3D hypercube. The corresponding ‘Raw’ spectra of the mean of each ROI is also shown. The blue spectrum represents a healthy sample, and the red a traumatised sample treated with Triton X. A region of interest was obtained for each insert to collect the spectra from each sample, removing the spectral contribution of the internal reflection saturating the detector. This can be observed in the right-hand side of each well within the images.</p>

Cited by 0Open access

Earth System Data Cube

Mahecha, Miguel · Figshare · 2017

A cutout of the "Earth System Data Cube"

Cited by 1Open access

Projeto Brazil Data Cube

Ferreira, Karine Reis · Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) · 2021

Cited by 0

Linked data business cube

Tassilo Pellegrini, Christian Dirschl, Katja Eck · 2014

With the increasing availability of semantic data on the World Wide Web and its reutilization for commercial purposes, questions arise about the economic value of interlinked data and business models that can be built on top of it. This paper introduces the Linked Data Business Cube, a systematic approach to model and analyze business models for Linked Data assets. Similar to an OLAP Cube, the Linked Data Business Cube provides an integrated view on Linked Data assets, revenue models and stakeholders, thus allowing to investigate the specificities and interdependencies of business models under conditions of highly networked infrastructures and collaborative value creation.

Cited by 10

The Iterative Data Cube

Mirek Riedewald, Divyakant Agrawal, Amr El Abbadi · 2000

. Data cubes provide aggregate information to support the analysis of the contents of data warehouses and databases. An important tool to analyze data in data cubes is the range query. For range queries that summarize large regions of massive data cubes, computing the query result on-the-fly can result in non-interactive response times (e.g. in the order of minutes). To speed up range queries, values that summarize regions of the data cube are pre-computed and stored. This faster response time results in more expensive updates and/or space overhead. In this paper a technique is presented that generates a new class of schemes that support range queries on data cubes -- Iterative Data Cubes. The main idea is that techniques that provide a certain tradeoff of query and update costs for a one-dimensional data cube are applied iteratively along the dimensions of data cubes of higher dimensionality. The different one-dimensional techniques can be combined, resulting in a great vari...

Cited by 0

Earth System Data Cube

Mahecha Miguel · Figshare · 2017

A cutout of the "Earth System Data Cube"

Cited by 3Open access

Materialization of data cube in flash memory based on condensed data cube

Wenyue Yan, Yuanzhen Wang, Heng Zhou et al. · 2011

In On-Line Analytical Processing applications, we can shorten the query response time and increase the efficiency of online analytical processing by the implementation of the memory data cube or other methods. According to the specific characteristics of NAND flash memory, combined with condensed data cube tuple storage characteristics and the three level storage structure of "Disk-Memory-NAND flash memory", Multi Level Dynamic Perfect Hash index structure is proposed, and then we have fully designed and implemented the details of the hash function. Implemented by the memory of coarse-grained cuboids, in the NAND flash memory on the implementation of fine-grained meta-group, thus the construction of the entire index was completed. It will be serialized into a write sequence of operations to the way each additional solution caused by the data insertion "frequently write" problem. Final experiment results showed that: the index structure to ensure order and perfect (no conflict) to add bulk update, for a single read and write operations, the overall disk storage and better than Static Hashing algorithm, it fits the NAND Flash application environment very well.

Cited by 0