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Edmond – the Open Research Data Repository of the Max Planck Society

Edmond is a research data repository for Max Planck researchers. It is the place to store completed datasets of research data with open access. Edmond serves the publication of research data from all disciplines and offers scientists the ability to create citable research objects.
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31 to 40 of 205,185 Results
Manually_curated_repeats.fa
May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae
application/x-fasta - 327.9 KB - MD5: 4ba4e4deaaad53c46e6a334fa3a9a968
TALE_phylogeny_v2.treefile
May 6, 2025 - The expanded Bostrychia moritziana genome unveils evolution in the most diverse and complex order of red algae
Unknown - 10.0 KB - MD5: 4b04e4c6f3d508a00cb98dc0246a4567
GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals
May 6, 2025
Epp, Sascha; Marx, Alexander, 2024, "GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals", https://doi.org/10.17617/3.CXELBR, Edmond, V3
Software distribution for installation of the GARFIELD toolkit useful for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals. This repository will stay on GARFIELD version 0.2.0 For the most recent version please visit: https://gitlab.gwdg.de/gf/garfield/updates/-/releases/permalink/latest
Garfield_v0.2.0_b.zip
May 6, 2025 - GARFIELD, a toolkit for interpreting ultrafast electron diffraction data of imperfect quasi-single crystals
ZIP Archive - 25.5 MB - MD5: 0acb3a7d3c77295067d62fa5729536c6
GARFIELD vers. 0.2.0_b distribution with changes for compatibility with R release 4.5.0
Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
May 5, 2025
Kazantsev, Andrei; Karuppusamy, Ramesh, 2025, "Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar", https://doi.org/10.17617/3.HQYC8O, Edmond, V1
Robust realtime identification of dispersed radio astronomical signals that last much less than a second is challenging. Here we explore the utility of machine learning techniques to identify such signals and use data taken on the Crab pulsar using the Effelsberg 100m Radio Telescope. The data corresponds to the frequency range of 1240-1510 MHz, an...
AAA_README.txt
May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
Plain Text - 2.0 KB - MD5: c9e5a026a375996def26e79cf1cd026c
B0531+21_59000_48386_DM_time_dataset_realbased_labels_training.npy
May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
Unknown - 7.3 MB - MD5: 558f7f3005fedc747fc43db226b95ab6
Data
Numpy array containing labels for the DM-time training dataset. Each label identifies a sample as either a true pulse or an artefact (e.g., broadband RFI or just noise).
B0531+21_59000_48386_DM_time_dataset_realbased_training_128x128.npy
May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
Unknown - 3.6 GB - MD5: 32bad569b51a032250f7882aa0a75d13
Datadm_time
DM-time training dataset downsampled to 128×128 resolution.
B0531+21_59000_48386_DM_time_dataset_realbased_training_32x32.npy
May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
Unknown - 232.4 MB - MD5: a34392cf601f0768506dee1b21eeb6f8
Datadm_time
DM-time training dataset downsampled to 32×32 resolution.
B0531+21_59000_48386_DM_time_dataset_realbased_training_64x64.npy
May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar
Unknown - 929.6 MB - MD5: 051da3b28302da65eed0f4a1a8b97b58
Datadm_time
DM-time training dataset downsampled to 64×64 resolution.
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