cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8fz9bh
title: Occurrence Download

description: A dataset listing the 53 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleoptera (beetles) from sub-tropical forest (Ailao mountain), Yunnan, China"
 ]
}

 The dataset's 53 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009442-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gesxbt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fundulopanchax sjostedti, Fundulopanchax traudeae, Fundulopanchax walkeri, Fundulosoma thierryi, Nothobranchius thierryi, Galaxias zebratus, Garra aethiopica, Garra allostoma, Garra andruzzii, Garra blanfordii, Garra congoensis, Garra dembecha, Garra dembeensis, Garra duobarbis, Garra ethelwynnae, Garra geba, Garra hindii, Garra ignestii, Garra lancrenonensis, Garra makiensis, Garra ornata, Garra regressus, Garra tana, Garra trewavasae, Garra waterloti, Gasterosteus aculeatus, Gazza minuta, Genyochromis mento, Genyomyrus donnyi, Gephyrochromis lawsi, Gephyrochromis moorii, Gephyroglanis congicus, Gephyroglanis gymnorhynchus, Gephyroglanis habereri, Gerres filamentosus, Gilchristella aestuaria, Glossogobius ankaranensis, Glossogobius callidus, Glossogobius giuris, Gnathochromis permaxillaris, Gnathonemus barbatus, Gnathonemus echidnorhynchus, Gnathonemus longibarbis, Gnathonemus petersii, Gobio gobio, Gobiocichla ethelwynnae, Gobiocichla wonderi, Gobioides sagitta, Gobiopsis pinto, Gobitrichinotus arnoulti, Gobius hypselosoma, Gogo arcuatus, Gogo atratus, Gogo brevibarbis, Gogo ornatus, Grammatotria lemairii, Grasseichthys gabonensis, Greenwoodochromis abeelei, Greenwoodochromis bellcrossi, Greenwoodochromis christyi, Greenwoodochromis staneri, Gymnallabes nops, Gymnallabes typus, Gymnarchus niloticus, Haplochromis acidens, Haplochromis aelocephalus, Haplochromis aeneocolor, Haplochromis akika, Haplochromis albertianus, Haplochromis altigenis, Haplochromis ampullarostratus, Haplochromis angustifrons, Haplochromis annectidens, Haplochromis antleter, Haplochromis apogonoides, Haplochromis arcanus, Haplochromis argens, Haplochromis argenteus, Haplochromis artaxerxes, Haplochromis avium, Haplochromis azureus, Haplochromis bakongo, Thoracochromis bakongo, Haplochromis barbarae, Haplochromis bareli, Haplochromis bartoni, Haplochromis bayoni, Haplochromis beadlei, Haplochromis bicolor, Haplochromis bloyeti, Haplochromis boops, Haplochromis brownae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((46.3328 2.047,46.3452 2.0599,46.1382 2.0599,46.1382 1.9309,46.3328 2.047))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009456-250827131500795/datasets/export for details.
DOI: 10.3535/8xx-af8-0r6
title: Papilionidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bv8-kg2-3k8
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g2j-v8a-0ww
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/34w-50v-zpz
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c3q-dae-xd2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k6t-ngv-e2e
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/75j-e2k-jdq
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nvk-syt-n5b
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/85d-qx0-8h3
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q6e-r40-q91
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/184-nyq-eq6
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3db-e6l-gya
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ynd-2vw-cj6
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4f8-n7n-9zx
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5bm-27p-fgq
title: Erebinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xsx-n94-dj0
title: Satyrinae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ty1-74l-pkf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.hhjkrg
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fundulopanchax sjostedti, Fundulopanchax traudeae, Fundulopanchax walkeri, Fundulosoma thierryi, Nothobranchius thierryi, Galaxias zebratus, Garra aethiopica, Garra allostoma, Garra andruzzii, Garra blanfordii, Garra congoensis, Garra dembecha, Garra dembeensis, Garra duobarbis, Garra ethelwynnae, Garra geba, Garra hindii, Garra ignestii, Garra lancrenonensis, Garra makiensis, Garra ornata, Garra regressus, Garra tana, Garra trewavasae, Garra waterloti, Gasterosteus aculeatus, Gazza minuta, Genyochromis mento, Genyomyrus donnyi, Gephyrochromis lawsi, Gephyrochromis moorii, Gephyroglanis congicus, Gephyroglanis gymnorhynchus, Gephyroglanis habereri, Gerres filamentosus, Gilchristella aestuaria, Glossogobius ankaranensis, Glossogobius callidus, Glossogobius giuris, Gnathochromis permaxillaris, Gnathonemus barbatus, Gnathonemus echidnorhynchus, Gnathonemus longibarbis, Gnathonemus petersii, Gobio gobio, Gobiocichla ethelwynnae, Gobiocichla wonderi, Gobioides sagitta, Gobiopsis pinto, Gobitrichinotus arnoulti, Gobius hypselosoma, Gogo arcuatus, Gogo atratus, Gogo brevibarbis, Gogo ornatus, Grammatotria lemairii, Grasseichthys gabonensis, Greenwoodochromis abeelei, Greenwoodochromis bellcrossi, Greenwoodochromis christyi, Greenwoodochromis staneri, Gymnallabes nops, Gymnallabes typus, Gymnarchus niloticus, Haplochromis acidens, Haplochromis aelocephalus, Haplochromis aeneocolor, Haplochromis akika, Haplochromis albertianus, Haplochromis altigenis, Haplochromis ampullarostratus, Haplochromis angustifrons, Haplochromis annectidens, Haplochromis antleter, Haplochromis apogonoides, Haplochromis arcanus, Haplochromis argens, Haplochromis argenteus, Haplochromis artaxerxes, Haplochromis avium, Haplochromis azureus, Haplochromis bakongo, Thoracochromis bakongo, Haplochromis barbarae, Haplochromis bareli, Haplochromis bartoni, Haplochromis bayoni, Haplochromis beadlei, Haplochromis bicolor, Haplochromis bloyeti, Haplochromis boops, Haplochromis brownae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((28.1382 2.0599,19.1382 2.0599,19.1382 -6.9401,28.1382 -6.9401,28.1382 2.0599))"
 ]
}

 The dataset includes 162 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009458-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3stap
title: Occurrence Download

description: A dataset containing 12292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Stachys germanica"
 ]
}

 The dataset includes 12292 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009457-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.12211466.v1
title: Additional file 6 of Identification of the Eutrema salsugineum EsMYB90 gene important for anthocyanin biosynthesis

description: Additional file 6. DEGs enriched in the flavonoid and anthocyanin synthesis pathways.
DOI: 10.6084/m9.figshare.22697111.v1
title: Additional file 2 of A cysteine-rich secretory protein involves in phytohormone melatonin mediated plant resistance to CGMMV

description: Additional file 2: Table S1. The primers used in this study. Table S2. CGMMV_CK vs WT responsive genes in Tobacco. Table S3. CGMMV_MEL vs CGMMV_CK responsive genes in Tobacco.
DOI: 10.6084/m9.figshare.22697192.v1
title: Additional file 7 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato

description: Additional file 7: Table S7. Table of KEGG enrichment analysis after Bacillomycin D-C16 treatment versus control at time 24 h.
DOI: 10.6084/m9.figshare.22697198.v1
title: Additional file 9 of Transcriptomic analysis reveals that Bacillomycin D-C16 induces multiple pathways of disease resistance in cherry tomato

description: Additional file 9: Table S9. Table of transcription factors after Bacillomycin D-C16 treatment versus control at time 24 h.
DOI: 10.6084/m9.figshare.12211469.v1
title: Additional file 7 of Identification of the Eutrema salsugineum EsMYB90 gene important for anthocyanin biosynthesis

description: Additional file 7. Detailed data for validation of RNA-Seq results using quantitative real-time PCR.
DOI: 10.6084/m9.figshare.12211457.v1
title: Additional file 4 of Identification of the Eutrema salsugineum EsMYB90 gene important for anthocyanin biosynthesis

description: Additional file 4. Annotated DEGs in KEGG in RNA-Seq of EsMYB90 transgenic tobacco.
DOI: 10.6084/m9.figshare.16928805
title: Additional file 9 of Genome-wide investigation of the GRAS transcription factor family in foxtail millet (Setaria italica L.)

description: Additional file 9 : Table S9. Primer sequences for qRT-PCR.
DOI: 10.6084/m9.figshare.12211457
title: Additional file 4 of Identification of the Eutrema salsugineum EsMYB90 gene important for anthocyanin biosynthesis

description: Additional file 4. Annotated DEGs in KEGG in RNA-Seq of EsMYB90 transgenic tobacco.
DOI: 10.6084/m9.figshare.22697196.v1
title: Additional file 2 of The mitochondrial genome of the diploid oat Avena longiglumis

description: Additional file 2: Table S1. Species and GenBank accessions used for phylogenetic analysis. Table S2. Characteristics of unitigs assembled by Unicycler. Table S3. Annotated genes and their locations. Table S4. SSRs identified in the mitochondrial genome of A. longiglumis. Table S5. Tandem repeat sequences identified in the mitochondrial genome of A. longiglumis. Table S6. Duplicated repeats (≥ 30 bp) identified in the mitochondrial genome of A. longiglumis. Table S7. The homologous DNA fragment identified among the mitochondrial genome and plastome of A. longiglumis. Table S8. The blastn results among the mitogenome (Query) and nuclear genome (Subject) of A. longiglumis. Table S9. RNA editing events identified in the mitochondrial protein coding gense of A. longiglumis. Table S10. tRNA genes identified in the mitochondrial genome of 29 Poaceae accessions.
DOI: 10.5281/zenodo.7762779
title: Insights into Batch Selection for Event-camera Motion Estimation - Datasets

description: See https://github.com/event-driven-robotics/batch-selection-experiments for examples on how to read and process the data.

Simulated datasets were used to accurately have a ground-truth of 3 DoF camera rotation, for valid training and evaluation. Four photo-realistic simulated environments from UnrealCV Zoo were selected as they are publicly available indoor scenes and include diverse lighting textures, shadows, reflections and object clutter. The camera was positioned inside the virtual room and rotated along all its three axes randomly at a variety of speeds. Frames were generated at >1 kHz from which the event-stream is generated using log-image-difference  techniques. Five velocity trajectories were used for arch1, four velocity trajectories were used for arch2, and three trajectories for arch3. Including the final room dataset, a total of 13 different datasets (each with a different velocity trajectory) cover a total of 190 seconds of data. Note: room is split into 3 archived files.

Please cite:



Valerdi, J.L., Bartolozzi, C. and Glover, A., 2023. Insights into Batch Selection for Event-Camera Motion Estimation. Sensors, 23(7), p.3699.


@article{valerdi2023insights,
  title={Insights into Batch Selection for Event-Camera Motion Estimation},
  author={Valerdi, Juan L and Bartolozzi, Chiara and Glover, Arren},
  journal={Sensors},
  volume={23},
  number={7},
  pages={3699},
  year={2023},
  publisher={MDPI}
}
DOI: 10.5281/zenodo.7762780
title: Insights into Batch Selection for Event-camera Motion Estimation - Datasets

description: See https://github.com/event-driven-robotics/batch-selection-experiments for examples on how to read and process the data.

Simulated datasets were used to accurately have a ground-truth of 3 DoF camera rotation, for valid training and evaluation. Four photo-realistic simulated environments from UnrealCV Zoo were selected as they are publicly available indoor scenes and include diverse lighting textures, shadows, reflections and object clutter. The camera was positioned inside the virtual room and rotated along all its three axes randomly at a variety of speeds. Frames were generated at >1 kHz from which the event-stream is generated using log-image-difference  techniques. Five velocity trajectories were used for arch1, four velocity trajectories were used for arch2, and three trajectories for arch3. Including the final room dataset, a total of 13 different datasets (each with a different velocity trajectory) cover a total of 190 seconds of data. Note: room is split into 3 archived files.

Please cite:



Valerdi, J.L., Bartolozzi, C. and Glover, A., 2023. Insights into Batch Selection for Event-Camera Motion Estimation. Sensors, 23(7), p.3699.


@article{valerdi2023insights,
  title={Insights into Batch Selection for Event-Camera Motion Estimation},
  author={Valerdi, Juan L and Bartolozzi, Chiara and Glover, Arren},
  journal={Sensors},
  volume={23},
  number={7},
  pages={3699},
  year={2023},
  publisher={MDPI}
}
DOI: 10.6084/m9.figshare.25206371
title: Outbreak-of-COVID-19-cases-and-mortality-in-Australia_A-modelling-study_Data

description: Australian COVID-19 actual incidence data from January to December 2021 was used to calibrate our model.
DOI: 10.6084/m9.figshare.22697327.v1
title: Additional file 1 of Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer

description: Additional file 1: Table S1. The RT-qPCR primer used in this study. Supplementary Table S2. The top 10 upregulated and downregulated mRNAs, miRNAs, and lncRNAs. Supplementary fig S1. Characteristics of TCONS_00020615. Schematic representation of TCONS_00020615 and PROX1. Supplementary fig S2. Relative expression levels of TCONS_00020615 in HBE, BEAS-2B, H1688, and H446 cells.
DOI: 10.6084/m9.figshare.22697327
title: Additional file 1 of Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer

description: Additional file 1: Table S1. The RT-qPCR primer used in this study. Supplementary Table S2. The top 10 upregulated and downregulated mRNAs, miRNAs, and lncRNAs. Supplementary fig S1. Characteristics of TCONS_00020615. Schematic representation of TCONS_00020615 and PROX1. Supplementary fig S2. Relative expression levels of TCONS_00020615 in HBE, BEAS-2B, H1688, and H446 cells.
DOI: 10.5281/zenodo.10650515
title: PBSIM3 simulated PacBio and ONT R10.4.1 reads for fusion transcripts

description: Reads simulated for fusion transcripts using PBSIM3 based on PacBio and ONT R10.4.1 profiles.
DOI: 10.5281/zenodo.10650516
title: PBSIM3 simulated PacBio and ONT R10.4.1 reads for fusion transcripts

description: Reads simulated for fusion transcripts using PBSIM3 based on PacBio and ONT R10.4.1 profiles.
DOI: 10.18112/openneuro.ds004956.v1.0.1
title: Braille letters - fMRI
DOI: 10.7910/dvn/dokgxo
title: Optical Transparent Antenna Array Integrated with Solar cell for satellite communicationx

description: In order to integrate a solar cell, a transparent rectangular microstrip patch antenna array with a 3x3 configuration has been built. A mesh antenna, Indium tin oxide material, and a transparent substrate are used to increase optical transparency. Multiple benefits that improve the effectiveness, longevity, and sustainability of satellite systems are provided by combining solar cells and antennas in satellite communication. A rectangular microstrip patch antenna is transparent and resonates at 4.6GHz. An 11.20 dB gain is attained by the antenna array. The solar cell in combination with the suggested antenna offers a competitive power generation potential due to the antenna array's high level of transparency.
DOI: 10.6084/m9.figshare.25206626.v1
title: Supplementary Material for: Anti-Inflammatory Effects of Japanese Herbal Medicine Hochuekkito in a Mouse Model of Acute Exacerbation of Chronic Obstructive Pulmonary Disease

description: <b><i>Introduction:</i></b> The traditional Japanese herbal medicine hochuekkito (TJ-41) has been reported to ameliorate systemic inflammation and malnutrition in patients with chronic obstructive pulmonary disease (COPD). TJ-41 has also been known to have preventive effects against influenza virus infection. However, its role in the acute exacerbation of COPD (AECOPD) remains to be elucidated. Our previous study established a murine model of viral infection-associated AECOPD that was induced by intratracheal administration of porcine pancreatic elastase (PPE) and polyinosinic-polycytidylic acid [poly(I:C)]. Here, we used this model and investigated the effects of TJ-41 in AECOPD. <b><i>Methods:</i></b> Specific pathogen-free C57BL/6J mice were used. A COPD model was induced by treating mice intratracheally with PPE on day 0. To generate the murine model of AECOPD, poly(I:C) was administered intratracheally following PPE treatment on days 22–24. Mice were sacrificed and analyzed on day 25. Mice were fed a diet containing 2% TJ-41 or a control diet. <b><i>Results:</i></b> Daily oral intake of TJ-41 significantly decreased the numbers of neutrophils and lymphocytes in the bronchoalveolar lavage fluid (BALF), which was accompanied by decreased transcripts of CXC chemokines involved in neutrophil migration, viz., <i>Cxcl1</i> and <i>Cxcl2,</i> in whole lung homogenates and reduced Cxcl2 concentration in BALF. <b><i>Conclusion:</i></b> This study demonstrates the anti-inflammatory effects of TJ-41 in a mouse model of AECOPD, suggesting the effectiveness of TJ-41 for the management of COPD. Clinical investigations evaluating the therapeutic efficacy of TJ-41 in AECOPD would be meaningful.
DOI: 10.6084/m9.figshare.25206626
title: Supplementary Material for: Anti-Inflammatory Effects of Japanese Herbal Medicine Hochuekkito in a Mouse Model of Acute Exacerbation of Chronic Obstructive Pulmonary Disease

description: <b><i>Introduction:</i></b> The traditional Japanese herbal medicine hochuekkito (TJ-41) has been reported to ameliorate systemic inflammation and malnutrition in patients with chronic obstructive pulmonary disease (COPD). TJ-41 has also been known to have preventive effects against influenza virus infection. However, its role in the acute exacerbation of COPD (AECOPD) remains to be elucidated. Our previous study established a murine model of viral infection-associated AECOPD that was induced by intratracheal administration of porcine pancreatic elastase (PPE) and polyinosinic-polycytidylic acid [poly(I:C)]. Here, we used this model and investigated the effects of TJ-41 in AECOPD. <b><i>Methods:</i></b> Specific pathogen-free C57BL/6J mice were used. A COPD model was induced by treating mice intratracheally with PPE on day 0. To generate the murine model of AECOPD, poly(I:C) was administered intratracheally following PPE treatment on days 22–24. Mice were sacrificed and analyzed on day 25. Mice were fed a diet containing 2% TJ-41 or a control diet. <b><i>Results:</i></b> Daily oral intake of TJ-41 significantly decreased the numbers of neutrophils and lymphocytes in the bronchoalveolar lavage fluid (BALF), which was accompanied by decreased transcripts of CXC chemokines involved in neutrophil migration, viz., <i>Cxcl1</i> and <i>Cxcl2,</i> in whole lung homogenates and reduced Cxcl2 concentration in BALF. <b><i>Conclusion:</i></b> This study demonstrates the anti-inflammatory effects of TJ-41 in a mouse model of AECOPD, suggesting the effectiveness of TJ-41 for the management of COPD. Clinical investigations evaluating the therapeutic efficacy of TJ-41 in AECOPD would be meaningful.
DOI: 10.14459/2024mp1734798
title: Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

description: This archive contains spatio-temporal data from simulations of the Navier-Stokes equations: First, simulations of an incompressible wake flow at different Reynolds numbers simulated with PhiFlow. Second, a transonic cylinder flow simulated with SU2 at different Mach numbers. Finally, a curation of data from the Johns Hopkins Turbulence Database (JHTDB) is included, that features an isotropic turbulence flow simulated with a direct numerical simulation.
The isotropic turbulence data is made available under the Open Data Commons Attribution License (ODC-By) ( http://opendatacommons.org/licenses/by/). This means the data is open to use, but requires attribution to the original creators from the JHTDB (see https://turbulence.pha.jhu.edu/citing.aspx).
Furthermore, pretrained neural network model weights for flow prediction on each data set are provided, that can be used as described in more detail in our source code.
DOI: 10.14459/2024mp1734798.001
title: Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

description: This archive contains spatio-temporal data from simulations of the Navier-Stokes equations: First, simulations of an incompressible wake flow at different Reynolds numbers simulated with PhiFlow. Second, a transonic cylinder flow simulated with SU2 at different Mach numbers. Finally, a curation of data from the Johns Hopkins Turbulence Database (JHTDB) is included, that features an isotropic turbulence flow simulated with a direct numerical simulation.
The isotropic turbulence data is made available under the Open Data Commons Attribution License (ODC-By) ( http://opendatacommons.org/licenses/by/). This means the data is open to use, but requires attribution to the original creators from the JHTDB (see https://turbulence.pha.jhu.edu/citing.aspx ).
Furthermore, pretrained neural network model weights for flow prediction on each data set are provided, that can be used as described in more detail in our source code.