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5,431 to 5,440 of 11,633 Results
HK-dir_Subject_field.csv
Mar 2, 2022 - Replication Data for: Diamond Open Access in Norway 2017–2020
Comma Separated Values - 3.4 KB - MD5: ae233456bc8a430b2f1e9660fa36c29f
Table to convert Norwegian subject field terms to English
Working_data.csv
Mar 2, 2022 - Replication Data for: Diamond Open Access in Norway 2017–2020
Comma Separated Values - 9.0 MB - MD5: 1816b5345bbbafd92e96d8ba73b9e781
This are the data from the HK-dir file, augmented with information from the DOAJ file and with subject field and subject area fields translated to English. This is the basis for the construction of the tables in the Manuscript, through use of the Excel Pivot Table function.
TGO Ramfjordmoen Ionosonde Data February 2022
Mar 2, 2022 - Tromsø Geophysical Observatory
Tromsø Geophysical Observatory, 2022, "TGO Ramfjordmoen Ionosonde Data February 2022", https://doi.org/10.18710/YTMWGQ, DataverseNO, V1
About this dataset: This dataset contains ionosonde data in SAO format and ionograms in PNG format, and covers data from February 01-28, 2022. About the Tromsø Ionosonde (1993-present): Since 1980, the ionosonde was situated at 69° 35' N, 19° 13' E at Ramfjordmoen near Tromsø, Norway and operated by the Auroral Observatory of the University of Trom...
01_ReadMeFile.txt
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
Plain Text - 2.1 KB - MD5: 669765b414f6fe3c0782dbcd9048573c
TGO_Ramfjordmoen_ionosonde_data_2022-02.PNG.zip
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
ZIP Archive - 39.6 MB - MD5: 2717bb632a5d7db55b7b3eb46d7fd17c
TGO_Ramfjordmoen_ionosonde_data_2022-02.SAO.zip
Mar 2, 2022 - TGO Ramfjordmoen Ionosonde Data February 2022
ZIP Archive - 7.9 MB - MD5: f195c5ed1a59000b377ac3e77d6c165f
Bitcoin blockchain optimized for machine learning prediction model
Feb 28, 2022
Tedeschi, Enrico, 2022, "Bitcoin blockchain optimized for machine learning prediction model", https://doi.org/10.18710/8IKVEU, DataverseNO, V1
This dataset stores part of the Bitcoin blockchain. Blocks are sampled every month and information about transactions and blocks are separated to save disk space and avoid redundancies. This dataset is used in the work presented by Tedeschi et al.[1], in order to generate a machine learning model that predicts transaction inclusion. In each month o...
00_README.txt
Feb 28, 2022 - Bitcoin blockchain optimized for machine learning prediction model
Plain Text - 11.2 KB - MD5: d999fb89c75ce2cdd3f8a9551856eb5c
Readme file.
Db0.csv
Feb 28, 2022 - Bitcoin blockchain optimized for machine learning prediction model
Comma Separated Values - 678.8 KB - MD5: a4cd58f4bcca4f8903fb0b607618ef4f
Data
blocks information for Jan-21
Db0.csv
Feb 28, 2022 - Bitcoin blockchain optimized for machine learning prediction model
Comma Separated Values - 678.9 KB - MD5: d02e4423383a872e8cd6838e6a50da9f
Data
blocks information for Feb-21
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