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License: CC0 1.0

1 to 10 of 36,893 Results

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.fil May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 3.1 GB - MD5: 3cf053e6bc46911eada8d19bcb591bf5 Datafilterbank This file contains radio observations of the Crab pulsar (PSR B0531+21) in SIGPROC's filterbank format, recorded with the Effelsberg radio telescope. The data represents rapidly sampled radio spectra spanning the 1210-1530 MHz frequency range. The file contains a minimal metadata...
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.npy May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 14.5 GB - MD5: 20075c6fe8cce8fb86e5535d1ac6084a Datadm_time Full-resolution DM-time training dataset (256×256) derived from Crab Pulsar observations.
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.
pulsarx_dada_20240723.sif May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 494.0 MB - MD5: a6153f73969376cc87c92ed47558e3ee singularity_image Singularity image includes TransientX configured to work with a ringbuffer.
tensorflow_psrdada.sif May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar Unknown - 2.7 GB - MD5: c31dfc0ca3582d31bc09c060ec32f704 singularity_image The Singularity image includes the necessary Python libraries for the ML pipeline (TensorFlow/Keras, Matplotlib, NumPy, scikit-learn), as well as the psrdada library for working with a ringbuffer.
Figure1_Code.zip Apr 30, 2025 - How an insect converts time into space: Temporal niches aid coexistence via modifying the amount of habitat available for reproduction ZIP Archive - 3.3 KB - MD5: 04b0ab8a90b70253b877680e77eae329

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 -

B0531+21_59000_48386.fil

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 3.1 GB -

Datafilterbank

This file contains radio observations of the Crab pulsar (PSR B0531+21) in SIGPROC's filterbank format, recorded with the Effelsberg radio telescope. The data represents rapidly sampled radio spectra spanning the 1210-1530 MHz frequency range. The file contains a minimal metadata...

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 -

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.npy

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 14.5 GB -

Datadm_time

Full-resolution DM-time training dataset (256×256) derived from Crab Pulsar observations.

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 -

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 -

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 -

Datadm_time

DM-time training dataset downsampled to 64×64 resolution.

pulsarx_dada_20240723.sif

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 494.0 MB -

singularity_image

Singularity image includes TransientX configured to work with a ringbuffer.

tensorflow_psrdada.sif

May 5, 2025 - Realtime identification of Dispersed Radio signals using ML - A Case Study on the Crab Pulsar

Unknown - 2.7 GB -

singularity_image

The Singularity image includes the necessary Python libraries for the ML pipeline (TensorFlow/Keras, Matplotlib, NumPy, scikit-learn), as well as the psrdada library for working with a ringbuffer.

Figure1_Code.zip

Apr 30, 2025 - How an insect converts time into space: Temporal niches aid coexistence via modifying the amount of habitat available for reproduction

ZIP Archive - 3.3 KB -

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