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31,791 to 31,800 of 33,278 Results

DCORR_Manual.docx Jan 31, 2023 - DCORR for Windows, Linux and MacOs MS Word - 122.2 KB - MD5: bb7d4d7f854817402c33c8dfffa02b32
FORTRAN source code for calculating d-correlations Jan 31, 2023 - Department of Plant Systematics, Ecology and Theoretical Biology Podani, János, 2023, "FORTRAN source code for calculating d-correlations", https://hdl.handle.net/21.15109/CONCORDA/FLOQKL, ARP, V1 This is the source code of a FORTRAN program which calculates correlations between variables that are measured on different scales, including the nominal, ordinal,interval and circular ones.
DCORR_FORTRAN.docx Jan 31, 2023 - FORTRAN source code for calculating d-correlations MS Word - 24.0 KB - MD5: 3be30cc2822bf94f817d19bed9c4cb78
Levelling plan of the court of Dömös with the church and palace. Dec 14, 2022 - Archaeological Illustration Collection HF, 2022, "Levelling plan of the court of Dömös with the church and palace.", https://hdl.handle.net/21.15109/CONCORDA/6OAIJS, ARP, V2
RK_14655a.jpg Dec 14, 2022 - Levelling plan of the court of Dömös with the church and palace. JPEG Image - 6.8 MB - MD5: 4999affef8d620d58ebb85600dd811c0
TTK dataset - 4 class Motor-Imagery EEG Dec 7, 2022 - Integrative Neuroscience Group Köllőd, Csaba; Adolf, András; Márton, Gergely; Wahdow, Moutz; Fadel, Ward; Ulbert, István, 2022, "TTK dataset - 4 class Motor-Imagery EEG", https://hdl.handle.net/21.15109/CONCORDA/UOQQVK, ARP, V1 This dataset contains Motor-Imagery Electroencephalography (EEG) data, which was recorded in the ELKH Research Centre for Natural Sciences (TTK). In total 25 experiments were conducted with the help of 9 voluntary healthy subjects.
S001R01_raw.fif Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG Unknown - 21.6 MB - MD5: 78f4eb01837cafaa0cd214a2031a16ef
S001R02_raw.fif Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG Unknown - 21.6 MB - MD5: 641ee593a13262e7f29671ccb31802b1
S001R03_raw.fif Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG Unknown - 21.6 MB - MD5: 77535c8a95945500fbea3356b73d8018
S001R04_raw.fif Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG Unknown - 21.6 MB - MD5: 86dcf2422fd34a3ffebd8030b2c6475d

DCORR_Manual.docx

Jan 31, 2023 - DCORR for Windows, Linux and MacOs

MS Word - 122.2 KB -

FORTRAN source code for calculating d-correlations

Jan 31, 2023 - Department of Plant Systematics, Ecology and Theoretical Biology

Podani, János, 2023, "FORTRAN source code for calculating d-correlations", https://hdl.handle.net/21.15109/CONCORDA/FLOQKL, ARP, V1

This is the source code of a FORTRAN program which calculates correlations between variables that are measured on different scales, including the nominal, ordinal,interval and circular ones.

DCORR_FORTRAN.docx

Jan 31, 2023 - FORTRAN source code for calculating d-correlations

MS Word - 24.0 KB -

Levelling plan of the court of Dömös with the church and palace.

Dec 14, 2022 - Archaeological Illustration Collection

HF, 2022, "Levelling plan of the court of Dömös with the church and palace.", https://hdl.handle.net/21.15109/CONCORDA/6OAIJS, ARP, V2

RK_14655a.jpg

Dec 14, 2022 - Levelling plan of the court of Dömös with the church and palace.

JPEG Image - 6.8 MB -

TTK dataset - 4 class Motor-Imagery EEG

Dec 7, 2022 - Integrative Neuroscience Group

Köllőd, Csaba; Adolf, András; Márton, Gergely; Wahdow, Moutz; Fadel, Ward; Ulbert, István, 2022, "TTK dataset - 4 class Motor-Imagery EEG", https://hdl.handle.net/21.15109/CONCORDA/UOQQVK, ARP, V1

This dataset contains Motor-Imagery Electroencephalography (EEG) data, which was recorded in the ELKH Research Centre for Natural Sciences (TTK). In total 25 experiments were conducted with the help of 9 voluntary healthy subjects.

S001R01_raw.fif

Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG

Unknown - 21.6 MB -

S001R02_raw.fif

Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG

Unknown - 21.6 MB -

S001R03_raw.fif

Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG

Unknown - 21.6 MB -

S001R04_raw.fif

Dec 7, 2022 - TTK dataset - 4 class Motor-Imagery EEG

Unknown - 21.6 MB -

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