School of Physical and Mathematical Sciences (SPMS)

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

2,041 to 2,050 of 8,281 Results

QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 80 B - MD5: cea851db4ac43b3f908e2abdb4492ad3
QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 610 B - MD5: bda721753d92184517703a2b54fe4b24
QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 570 B - MD5: 9f7bac347aecaeb9b5119baf205b6552
QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 120 B - MD5: bd14411c6de4f710c65e07614c809a4d
QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 580 B - MD5: facb57ddf85ee1a84ce6b1729a001233
QQ.txt Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets Plain Text - 80 B - MD5: 57f65b662594358f75f490e48c11c848
sp500_IT.m Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets MATLAB Source Code - 1.7 KB - MD5: 39d499b7ac2bf333f982fc8f244ae0a5
sp500_JJ_QQ.m Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets MATLAB Source Code - 16.8 KB - MD5: 9a06a3ed3bd99612435a9291cb7807c7
Bitcoin degree distribution and influential players Feb 7, 2025 - Kelvin FOO Moo Chen Foo, Kelvin Moo Chen, 2025, "Bitcoin degree distribution and influential players", https://doi.org/10.21979/N9/88TWWS, DR-NTU (Data), V2, UNF:6:pGkBnt0442bPx5NzBs4Qcw== [fileUNF] Data for in-degree and out-degree distribution of Bitcoin transactions and most influential sender and recipient.
Bitcoin monthly stats.tab Feb 7, 2025 - Bitcoin degree distribution and influential players Tabular Data - 7.6 KB - 4 Variables, 180 Observations - UNF:6:LvdMy9dYyiyMp4xRtGtszw==

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 80 B -

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 610 B -

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 570 B -

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 120 B -

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 580 B -

QQ.txt

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

Plain Text - 80 B -

sp500_IT.m

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

MATLAB Source Code - 1.7 KB -

sp500_JJ_QQ.m

Feb 17, 2025 - Scale-Dependent Inverse Temperature Features Associated with Crashes in the US and Japanese Stock Markets

MATLAB Source Code - 16.8 KB -

Bitcoin degree distribution and influential players

Feb 7, 2025 - Kelvin FOO Moo Chen

Foo, Kelvin Moo Chen, 2025, "Bitcoin degree distribution and influential players", https://doi.org/10.21979/N9/88TWWS, DR-NTU (Data), V2, UNF:6:pGkBnt0442bPx5NzBs4Qcw== [fileUNF]

Data for in-degree and out-degree distribution of Bitcoin transactions and most influential sender and recipient.

Bitcoin monthly stats.tab

Feb 7, 2025 - Bitcoin degree distribution and influential players

Tabular Data - 7.6 KB - 4 Variables, 180 Observations -

Add Data

Share Dataverse

Link Dataverse

Reset Modifications