391 to 400 of 403 Results
Jun 17, 2026 -
Data material: Deweyan conceptualisation of habit
MS Excel Spreadsheet - 403.2 KB -
MD5: a64f89bf40a37f0f830e0efe2bedca17
Latest edition, revised dataset. |
Jun 19, 2026
Blanco Gonzalez, Enrique, 2026, "Replication Data for: Eelgrass eDNA reveals ecological signatures of connectivity and anthropogenic pressures across North Sea–Skagerrak fjord seascapes", https://doi.org/10.18710/XCTVER, DataverseNO, V1
The data originated from eDNA obtained from surface water samples collected at 19 sampling locations including all major river catchments and fjord systems along the west part of the Agder coast in southern Norway. A multiplexing approach targeting the COI marker was used to characterize eukaryotic communities in coastal fjords. |
Plain Text - 6.6 KB -
MD5: 90c6fdef78c43386479c6da20bd85198
Readme file. |
Gzip Archive - 5.9 GB -
MD5: e967838acbcd6dc267ff7aba5763f6a9
Raw sequence data of the COI region with forward reads |
Gzip Archive - 5.9 GB -
MD5: 627a671894d5bd960bafc8eadded2904
Raw sequence data of the COI region with reverse reads |
Plain Text - 7.4 KB -
MD5: 6c2ecbefedca1dd70da4748bb9d1a79f
Metadata file |
Plain Text - 19.2 KB -
MD5: f4988357d4b531a038d0fb59e81132a8
Information about the tags and primers used for sample multiplexing |
Nov 19, 2025
Muhammad Hamza Zafar, 2025, "E-GMDCSA24: Event Based Human Fall Detection Dataset", https://doi.org/10.18710/T0GJXA, DataverseNO, V2
This dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data. |
Nov 19, 2025 -
E-GMDCSA24: Event Based Human Fall Detection Dataset
Plain Text - 3.6 KB -
MD5: 071859fcbea9f9fef5827f282df7869c
This README file gives detailed information about the Dataset Directories and the methods used for generation of this dataset. |
Nov 19, 2025 -
E-GMDCSA24: Event Based Human Fall Detection Dataset
ZIP Archive - 32.4 GB -
MD5: a153401abe73d40388a6eb82617e3909
Zip file contains the dataset which is described in the README file. |
