Sentence examples for index dataset from inspiring English sources

In the freely available Nature Index dataset, we leave it to the user to decide how best to use the three measures.

A new and updated version of the AVHRR (Advanced Very High Resolution Radiometer) based GIMMS Global Inventory Modelling and Mapping Studies NDVIVI (Normalized Difference Vegetation Index) dataset is now available covering 1981 to 2010 (GIMMS3g).

The Global Human Influence Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers).

We fit the auroral electrojet index dataset to this formula to determine these parameters.

For the auroral electrojet index dataset, we utilized the peak-over-threshold (POT) method of EVT (e.g., Coles 2001; Reiss and Thomas 2001) in the same manner as that used by Tsubouchi and Omura (2007).

We selected 621 samples, representing over 90 distinct tissue types from the publicly available human body index dataset from the Gene Expression Omnibus (Accession number: GSE7307).

To address this question, we first mapped miRNA target genes from mRNA expression, mRNA decay rate, and protein stability index datasets to each other.

The characteristics of these databases are listed in Table 2. Table 2 Benchmark datasets for evaluating IQA indices Dataset Reference images Distorted images Distorted types Subjects TID2013 25 3000 24 971 TID2008 25 1700 17 838 CSIQ 30 866 6 35 LIVE 29 779 5 16 7A57 3 54 6 7.

We used the Expedited Moderate Resolution Imaging Spectroradiometer (eMODIS) Vegetation Indices dataset from NASA, which provides the maximum value for NDVI images for composites over a 10-day period at a resolution of 250 m from the year 2000 to present.

In the next article, "Feature Selection and Replacement by Clustering Attributes", Tzung-Pei Hong et al. present an approach for selecting features based on attribute clustering, an important problem for indexing datasets.

Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Influence Index (HII) Dataset (Geographic).