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LDBC Social Network Benchmark Interactive v2 workload
No full textUpdate streams for the LDBC Social Network Benchmark Interactive v2 workload. Stored in zstd-compressed CSV files.
Website: https://ldbcouncil.org/benchmarks/snb-interactive/
Related publication: Renzo Angles, János Benjamin Antal, Alex Averbuch, Altan Birler, Peter Boncz, Márton Búr, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, David Püroja, Mirko Spasić, Benjamin A. Steer, Dávid Szakállas, Gábor Szárnyas, Jack Waudby, Mingxi Wu, Yuchen Zhang: The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). https://arxiv.org/abs/2001.0229
LDBC Financial Benchmark (FinBench)
No full textData sets for the LDBC Financial Benchmark (FinBench) v0.1.0 workload. Stored in tar.gz-compressed CSV files.
Website: https://ldbcouncil.org/benchmarks/finbench
Related publication: Shipeng Qi, Heng Lin, Zhihui Guo, Gábor Szárnyas, Bing Tong, Yan Zhou, Bin Yang, Jiansong Zhang, Zheng Wang, Youren Shen, Changyuan Wang, Parviz Peiravi, Henry A. Gabb, Benjamin A. Steer: The LDBC Financial Benchmark. CoRR abs/2306.15975 (2023
LDBC Social Network Benchmark Interactive v1 workload (Datagen 0.3.5)
No full textNote: this data set is only available for historical reasons. For new benchmarks and audit requests, use the latest Interactive v1 data sets: https://repository.surfsara.nl/datasets/cwi/ldbc-snb-interactive-v1-datagen-v100
Data sets for the LDBC Social Network Benchmark Interactive v1 workload, generated with Datagen v0.3.5. Stored in zstd-compressed CSV files.
Website: https://ldbcouncil.org/benchmarks/snb-interactive/
Related publication: Renzo Angles, János Benjamin Antal, Alex Averbuch, Altan Birler, Peter Boncz, Márton Búr, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, David Püroja, Mirko Spasić, Benjamin A. Steer, Dávid Szakállas, Gábor Szárnyas, Jack Waudby, Mingxi Wu, Yuchen Zhang: The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). https://arxiv.org/abs/2001.0229
LDBC Social Network Benchmark Business Intelligence workload
No full textData sets for the LDBC Social Network Benchmark Business Intelligence workload. Stored in zstd-compressed csv.gz files.
Website: https://ldbcouncil.org/benchmarks/snb-bi/
Related publication: Gábor Szárnyas, Jack Waudby, Benjamin A. Steer, Dávid Szakállas, Altan Birler, Mingxi Wu, Yuchen Zhang, Peter A. Boncz: The LDBC Social Network Benchmark: Business Intelligence Workload. Proc. VLDB Endow. 16(4): 877-890 (2022
LDBC Graphalytics graphs (2023)
No full textData sets for the LDBC Graphalytics benchmark. Stored in zstd-compressed CSV files. Compared to the previous version released in 2021, this data set fixes issues with incorrect/unavailable validation data sets.
Website: https://ldbcouncil.org/benchmarks/graphalytics/
Related publication: Alexandru Iosup, Ahmed Musaafir, Alexandru Uta, Arnau Prat-Pérez, Gábor Szárnyas, Hassan Chafi, Ilie Gabriel Tanase, Lifeng Nai, Michael J. Anderson, Mihai Capota, Narayanan Sundaram, Peter A. Boncz, Siegfried Depner, Stijn Heldens, Thomas Manhardt, Tim Hegeman, Wing Lung Ngai, Yinglong Xia: The LDBC Graphalytics Benchmark. CoRR abs/2011.15028 (2020). https://arxiv.org/abs/2011.1502
LDBC Social Network Benchmark factor tables
No full textFactor tables for the LDBC Social Network Benchmark Business Intelligence and Interactive v2 workloads. Stored in zstd-compressed Parquet files.
Website: https://ldbcouncil.org/benchmarks/snb
Related publication: Renzo Angles, János Benjamin Antal, Alex Averbuch, Altan Birler, Peter Boncz, Márton Búr, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, David Püroja, Mirko Spasić, Benjamin A. Steer, Dávid Szakállas, Gábor Szárnyas, Jack Waudby, Mingxi Wu, Yuchen Zhang: The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). https://arxiv.org/abs/2001.0229
LDBC Social Network Benchmark Interactive v1 workload (Datagen 1.0.0)
No full textData sets for the LDBC Social Network Benchmark Interactive v1 workload, generated with Datagen v1.0.0. Stored in zstd-compressed CSV files.
Website: https://ldbcouncil.org/benchmarks/snb-interactive/
Related publication: Renzo Angles, János Benjamin Antal, Alex Averbuch, Altan Birler, Peter Boncz, Márton Búr, Orri Erling, Andrey Gubichev, Vlad Haprian, Moritz Kaufmann, Josep Lluís Larriba Pey, Norbert Martínez, József Marton, Marcus Paradies, Minh-Duc Pham, Arnau Prat-Pérez, David Püroja, Mirko Spasić, Benjamin A. Steer, Dávid Szakállas, Gábor Szárnyas, Jack Waudby, Mingxi Wu, Yuchen Zhang: The LDBC Social Network Benchmark. CoRR abs/2001.02299 (2020). https://arxiv.org/abs/2001.0229
The LOFAR Two-metre Sky Survey (LoTSS) V. Second data release (P269+40)
No full textIn this data release from the ongoing LOw-Frequency ARray (LOFAR) Two-metre Sky Survey (LoTSS) we present 120-168 MHz images covering 27% of the northern sky. Our coverage is split into two regions centred at approximately 12h45m +44◦30′ and 1h00m +28◦ 00′ and spanning 4178 and 1457 square degrees respectively. The images were derived from 3,451 hrs (7.6 PB) of LOFAR High Band Antenna data which were corrected for the direction-independent instrumental properties as well as direction-dependent ionospheric distortions during extensive, but fully automated, data processing. A catalogue of 4,396,228 radio sources is derived from our total intensity (Stokes I) maps, where the majority of these have never been detected at radio wavelengths before. At 6′′ resolution, our full bandwidth Stokes I continuum maps with a central frequency of 144 MHz have: a median rms sensitivity of 83 μ Jy/beam; a flux density scale accuracy of approximately 10%; an astrometric accuracy of 0.2′′; and we estimate the point-source completeness to be 90% at a peak brightness of 0.8 mJy/beam. By creating three 16 MHz bandwidth images across the band we are able to measure the in-band spectral index of many sources, albeit with an error on the derived spectral index of > ±0.2 which is a consequence of our flux-density scale accuracy and small fractional bandwidth. Our circular polarisation (Stokes V) 20′′ resolution 120-168 MHz continuum images have a median rms sensitivity of 95 μ Jy/beam, and we estimate a Stokes I to Stokes V leakage of 0.056%. Our linear polarisation (Stokes Q and Stokes U) image cubes consist of 480 97.6 kHz wide planes and have a median rms sensitivity per plane of 10.8mJy/beam at 4′ and 2.2mJy/beam at 20′′; we estimate the Stokes I to Stokes Q/U leakage to be approximately 0.2%. Here we characterise and publicly release our Stokes I, Q, U and V images in addition to the calibrated uv-data to facilitate the thorough scientific exploitation of this unique dataset.
This is field P269+40
The LOFAR Two-metre Sky Survey (LoTSS) V. Second data release (P276+45)
No full textIn this data release from the ongoing LOw-Frequency ARray (LOFAR) Two-metre Sky Survey (LoTSS) we present 120-168 MHz images covering 27% of the northern sky. Our coverage is split into two regions centred at approximately 12h45m +44◦30′ and 1h00m +28◦ 00′ and spanning 4178 and 1457 square degrees respectively. The images were derived from 3,451 hrs (7.6 PB) of LOFAR High Band Antenna data which were corrected for the direction-independent instrumental properties as well as direction-dependent ionospheric distortions during extensive, but fully automated, data processing. A catalogue of 4,396,228 radio sources is derived from our total intensity (Stokes I) maps, where the majority of these have never been detected at radio wavelengths before. At 6′′ resolution, our full bandwidth Stokes I continuum maps with a central frequency of 144 MHz have: a median rms sensitivity of 83 μ Jy/beam; a flux density scale accuracy of approximately 10%; an astrometric accuracy of 0.2′′; and we estimate the point-source completeness to be 90% at a peak brightness of 0.8 mJy/beam. By creating three 16 MHz bandwidth images across the band we are able to measure the in-band spectral index of many sources, albeit with an error on the derived spectral index of > ±0.2 which is a consequence of our flux-density scale accuracy and small fractional bandwidth. Our circular polarisation (Stokes V) 20′′ resolution 120-168 MHz continuum images have a median rms sensitivity of 95 μ Jy/beam, and we estimate a Stokes I to Stokes V leakage of 0.056%. Our linear polarisation (Stokes Q and Stokes U) image cubes consist of 480 97.6 kHz wide planes and have a median rms sensitivity per plane of 10.8mJy/beam at 4′ and 2.2mJy/beam at 20′′; we estimate the Stokes I to Stokes Q/U leakage to be approximately 0.2%. Here we characterise and publicly release our Stokes I, Q, U and V images in addition to the calibrated uv-data to facilitate the thorough scientific exploitation of this unique dataset.
This is field P276+45
The LOFAR Two-metre Sky Survey (LoTSS) V. Second data release (P330+31)
No full textIn this data release from the ongoing LOw-Frequency ARray (LOFAR) Two-metre Sky Survey (LoTSS) we present 120-168 MHz images covering 27% of the northern sky. Our coverage is split into two regions centred at approximately 12h45m +44◦30′ and 1h00m +28◦ 00′ and spanning 4178 and 1457 square degrees respectively. The images were derived from 3,451 hrs (7.6 PB) of LOFAR High Band Antenna data which were corrected for the direction-independent instrumental properties as well as direction-dependent ionospheric distortions during extensive, but fully automated, data processing. A catalogue of 4,396,228 radio sources is derived from our total intensity (Stokes I) maps, where the majority of these have never been detected at radio wavelengths before. At 6′′ resolution, our full bandwidth Stokes I continuum maps with a central frequency of 144 MHz have: a median rms sensitivity of 83 μ Jy/beam; a flux density scale accuracy of approximately 10%; an astrometric accuracy of 0.2′′; and we estimate the point-source completeness to be 90% at a peak brightness of 0.8 mJy/beam. By creating three 16 MHz bandwidth images across the band we are able to measure the in-band spectral index of many sources, albeit with an error on the derived spectral index of > ±0.2 which is a consequence of our flux-density scale accuracy and small fractional bandwidth. Our circular polarisation (Stokes V) 20′′ resolution 120-168 MHz continuum images have a median rms sensitivity of 95 μ Jy/beam, and we estimate a Stokes I to Stokes V leakage of 0.056%. Our linear polarisation (Stokes Q and Stokes U) image cubes consist of 480 97.6 kHz wide planes and have a median rms sensitivity per plane of 10.8mJy/beam at 4′ and 2.2mJy/beam at 20′′; we estimate the Stokes I to Stokes Q/U leakage to be approximately 0.2%. Here we characterise and publicly release our Stokes I, Q, U and V images in addition to the calibrated uv-data to facilitate the thorough scientific exploitation of this unique dataset.
This is field P330+31