The Human Sleep Project

Tools & Applications

• The Human Sleep Project by Westover MB, Moura Junior V, Thomas R, Cash S, Nasiri S, Sun H, et al.
  

Publications

• A cost-effectiveness analysis of nasal surgery to increase CPAP compliance in sleep apnea patients with nasal obstruction. The Laryngoscope. 2017 Apr;127(4):977-983. PMCID: PMC5483184. by Kempfle J, Westover MB, Bianchi MT.
  
• A Systematic Review and Meta-Analysis Examining the Impact of Sleep Disturbance on Postoperative Delirium. Critical Care Medicine. 2018 Dec;46(12):e1204-e1212. PMCID: PMC6274586. by Fadayomi AB, Ibala R, Bilotta F, Westover MB, Akeju O.
  
• Age estimation from sleep studies using deep learning predicts life expectancy. NPJ Digit Med. 2022 Jul 22;5(1):103. doi: 10.1038/s41746-022-00630-9. PMCID: PMC9307657. by Brink-Kjaer A, Leary EB, Sun H, Westover MB, Stone KL, Peppard PE, et al.
  
• Algorithm for automatic detection of self-similarity and prediction of residual central respiratory events during continuous positive airway pressure. Sleep. 2021 Apr 9;44(4):zsaa215. doi: 10.1093/sleep/zsaa215. PMCID: PMC8631077. by Oppersma E, Ganglberger W, Sun H, Thomas RJ*, Westover MB*
  
• Alternative remedies for insomnia: a proposed method for personalized therapeutic trials. Nature and Science of Sleep. 2017;9:97-108. PMCID: PMC5364017. by Romero K, Goparaju B, Russo K, Westover MB, Bianchi MT.
  
• Applications of a Capacitor-Based Respiratory Position Sensing Device: Implications for Radiation Therapy. Austin Journal of Medical Oncology 2014;1(2). PMCID: PMC6956860. by Weng Y, Westover MB, Speier C, Sharp G, Bianchi MT, Westover KD.
  
• Artificial Intelligence in Sleep Medicine: An American Academy of Sleep Medicine Position Statement. Journal of Clinical Sleep Medicine. 2020 Feb 5. doi: 10.5664/jcsm.8288. PMCID: PMC7161449. by Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, et al.
  
• Artificial intelligence in sleep medicine: Background and implications for clinicians. Journal of Clinical Sleep Medicine. 2020 Feb 17. doi: 10.5664/jcsm.8388. PMCID: PMC7161463. by Goldstein CA, Berry RB, Kent DT, Kristo DA, Seixas AA, Redline S, et al.
  
• Automated Scoring of Respiratory Events in Sleep with a Single Effort Belt and Deep Neural Networks. IEEE Transactions on Biomedical Engineering. 2021 Dec 20;PP. doi: 10.1109/TBME.2021.3136753. Epub ahead of print. PMCID: PMC9119908. by Nassi TE, Ganglberger W, Sun H, Bucklin AA, Biswal S, van Putten MJAM, et al.
  
• Automated Sleep Apnea Quantification Based on Respiratory Movement. International Journal of Medical Sciences 2014; 11(8):796-802. PMCID: PMC4057486. by Bianchi MT, Lipoma T, Darling C, Alameddine Y, Westover MB.
  
• Brain Age from the Electroencephalogram of Sleep. Neurobiol Aging. 2019 Feb;74:112-120. PMCID: PMC6478501. by Sun H, Paixao L, Oliva JT, Goparaju B, Carvalho DZ, van Leeuwen KG, et al.
  
• Classification algorithms for predicting sleepiness and sleep apnea severity. Journal of Sleep Research. 2012 Feb;21(1):101-12. PMCID: PMC3698244. by Eiseman NA, Westover MB, Mietus JE, Thomas RJ, Bianchi MT
  
• Computational Evidence for a Competitive Thalamocortical Model of Spikes and Spindle Activity in Rolandic Epilepsy. Front Comput Neurosci. 2021 Jun 18;15:680549. doi: 10.3389/fncom.2021.680549. PMCID: PMC8249809. by Li Q, Westover MB, Zhang R, Chu CJ.
  
• Data-Driven Modeling of Sleep States from EEG. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'12). 2012;2012:5090-3. PMCID: PMC6788787. by Van Esbroeck A, Westover MB
  
• Decision modeling in sleep apnea: the critical roles of pre-test probability, cost of untreated OSA, and time horizon. Journal of Clinical Sleep Medicine. 2016 Mar;12(3):409-418. PMCID: PMC4773629. by Moro M, Westover MB, Kelly J, Bianchi MT.
  
• Dementia Detection from Brain Activity During Sleep. Sleep. Nov 30:zsac286. doi: 10.1093/sleep/zsac286. Epub ahead of print. PMID: 36448766.* by Ye E*, Sun H*, Krishnamurthy PV, Adra N, Ganglberger W, Thomas RJ, et al.
  
• Effects of cholinergic neuromodulation on thalamocortical rhythms during NREM sleep: a model study. Frontiers in Computational Neuroscience. 2020 Jan 23;13:100. doi: 10.3389/fncom.2019.00100. eCollection 2019. PMCID: PMC6990259. by Li Q, Song JL, Li SH, Westover MB, Zhang R.
  
• Emergence of stable functional networks in long-term human EEG. The Journal of Neuroscience, Feb 2012; 32(8): 2703-2713. PMCID: PMC3361717. by Chu-Shore C, Kramer MA, Pathmanathan J, Bianchi MT, Westover MB, Wizon L, et al.
  
• Excess Brain Age Reflected in the Electroencephalogram of Sleep Predicts Reduced Life Expectancy. Neurobiology of Aging. 2019 Dec 23. pii: S0197-4580(19)30443-9. doi: 10.1016/j.neurobiolaging.2019.12.015. PMCID: PMC7085452. by Paixao L, Sikka P, Sun H, Jain A, Hogan J, Thomas RJ, et al.
  
• Expert-level automated sleep staging of long-term scalp EEG recordings using deep learning. SLEEP. June 2020;zsaa112. doi:10.1093/sleep/zsaa112. PMCID: PMC7686563. by Jaoude MA, Sun H, Pellerin KR, Pavlova M, Sarkis RA, Cash SS, et al.
  
• Expert-level Sleep Scoring with Deep Neural Networks. Journal of the American Medical Informatics Association (JAMIA). 2018 Dec 1;25(12):1643-1650. PMCID: PMC6289549. by Biswal S, Kulas J, Sun H, Goparaju B, Westover MB*, Bianchi MT*, et al.
  
• Focal sleep spindle deficits reveal focal thalamocortical dysfunction and predict cognitive deficits in childhood epilepsy with centrotemporal spikes. Journal of Neuroscience. 2021 Jan 14:JN-RM-2009-20. doi: 10.1523/JNEUROSCI.2009-20.2020. Epub ahead of print. PMCID: PMC8115887. by Kramer M, Stoyell S, Chinappen D, Ostrowski L, Spencer E, Morgan A, et al.
  
• High prevalence of sleep-disordered breathing in the intensive care unit - a cross-sectional study. Sleep Breath. 2022 Aug 16. doi: 10.1007/s11325-022-02698-9. Epub ahead of print. PMID: 35971023. by Bucklin AA, Ganglberger W, Quadri SA, Tesh RA, Adra N, Da Silva Cardoso M, et al.
  
• HIV Increases Sleep-based Brain Age Despite Antiretroviral Therapy. SLEEP. 2021 Mar 30:zsab058. doi: 10.1093/sleep/zsab058. Epub ahead of print. PMCID: PMC8361332. by Leone MJ*, Sun H*, Boutros CL, Liu L, Ye E, Sullivan L, et al.
  
• How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics. 2022 Mar 28:10.1007/s12021-022-09572-9. doi: 10.1007/s12021-022-09572-9. Epub ahead of print. PMID: 35347570; PMCID: PMC9515245. by Singh NM, Harrod JB, Subramanian S, Robinson M, Chang K, Cetin-Karayumak S, et al.
  
• Insomnia and morning motor vehicle accidents: A decision analysis of the risk of hypnotics versus the risk of untreated insomnia. Journal of Clinical Psychopharmacology. 2014 Jun;34(3):400-402. PMCID: PMC6794095. by Bianchi MT, Westover MB.
  
• Large-Scale Automated Sleep Staging. Sleep. 2017 Oct 1;40(10). doi: 10.1093/sleep/zsx139. PMCID: PMC6251659. by Sun H, Jian J, Goparaju B, Huang GB, Sourina O, Bianchi MT, et al.
  
• Night-to-Night Variability of Sleep Electroencephalography-Based Brain Age Measurements. Clinical Neurophysiology. 2020 Oct 29;132(1):1-12. doi: 10.1016/j.clinph.2020.09.029. Epub ahead of print. PMCID: PMC7855943. by Hogan J, Sun H, Thomas RT, Westover MB.
  
• Optimal Spindle Detection Parameters for Predicting Cognitive Performance. Sleep. 2022 Jan 4:zsac001. doi: 10.1093/sleep/zsac001. Epub ahead of print. PMCID: PMC8996023. by Adra N, Sun H, Ganglberger W, Ye EM, Dümmer LW, Tesh RA, et al.
  
• Power Law versus Exponential State Transition Dynamics: Application to Sleep-Wake Architecture. PLoSONE 5(12): e14204. Dec. 2, 2010. PMCID: PMC2996311. by Chu-Shore J, Westover MB, Bianchi MT
  
• Sleep Apnea and Respiratory Anomaly Detection from a Wearable Band and Oxygen Saturation. Sleep and Breathing. 2021 Aug 18. doi: 10.1007/s11325-021-02465-2. Online ahead of print. PMCID: PMC8854446. by Ganglberger W, Bucklin AA, Tesh R, Cardoso MDS, Sun H, Leone M, , et al.
  
• Sleep EEG-based Brain Age Index is a Biomarker for Dementia. JAMA Network Open. 2020 Sep 1;3(9):e2017357. doi: 10.1001/jamanetworkopen.2020.17357. PMID: 32986106; PMCID: PMC7522697. by Ye E, Sun H, Leone MJ, Paixao L, Thomas RJ, Lam AD, et al.
  
• Sleep Staging from Electrocardiography and Respiration with Deep Learning. SLEEP. Sleep. 2020 Jul 13;43(7):zsz306. doi: 10.1093/sleep/zsz306. PMCID: PMC7355395. by Sun H, Ganglberger W, Panneerselvam E, Leone MJ, Quadri SA, Goparaju B, et al.
  
• The Challenge of Undiagnosed Sleep Apnea in Low-Risk Populations: A Decision Analysis. Military Medicine 2014 Aug;179(8S):47-54. PMCID: PMC6788752. by Bianchi MT, Hershman S, Bahadoran M, Ferguson M, Westover MB.
  
• The Impact of Body Posture and Sleep Stages on Sleep Apnea Severity in Adults. Journal of Clinical Sleep Medicine. 2012 Dec 15;8(6):655-66A. PMCID: PMC3501662. by Eiseman NA, Westover MB, Ellenbogen JM, Bianchi MT
  
• The sleep and wake electroencephalogram over the lifespan. Neurobiol Aging. 2023 Jan 19;124:60-70. doi: 10.1016/j.neurobiolaging.2023.01.006. Epub ahead of print. PMID: 36739622. by Sun H, Ye E, Paixao L, Ganglberger W, Chu CJ, Zhang C, et al.
  

1000 Genomes Phase 3 Reanalysis with DRAGEN 3.5, 3.7, 4.0, and 4.2

Tutorials

• DRAGEN Quick Start on AWS by AWS Quick Start Team
  

Tools & Applications

• DRAGEN 3.5.7b Software Release Notes by Illumina Inc.
  
• DRAGEN 3.7.5 Software Release Notes by Illumina Inc.
  
• DRAGEN on BaseSpace Sequence Hub by Illumina Inc.
  
• DRAGEN v4.0.3 Software Release Notes by Illumina Inc.
  
• DRAGEN v4.2.4 Software Release Notes by Illumina Inc.
  
• Illumina Connected Analytics by Illumina Inc.
  
• Illumina Connected Analytics User Guide by Illumina Inc.
  
• Illumina DRAGEN Bio-IT Platform v3.5 User Guide by Illumina Inc.
  
• Illumina DRAGEN Bio-IT Platform v3.7 Online Help by Illumina Inc.
  
• Illumina DRAGEN Bio-IT Platform v4.0 Online Help by Illumina Inc.
  
• Illumina DRAGEN Bio-IT Platform v4.2 Online Help by Illumina Inc.
  
• Nirvana Documentation by Illumina Inc.
  

Publications

• Accurate and efficient calling of small and large variants from popgen datasets using the DRAGEN Bio-IT Platform by Illumina Inc. (2021)
  
• Data solution empowering population genomics by Illumina Inc. (2021)
  
• Demystifying the versions of GRCh38/hg38 reference genomes, how they are used in DRAGEN and their impact on accuracy by Illumina Inc. (2021)
  
• DRAGEN Sets New Standard for Data Accuracy in PrecisionFDA Benchmark Data. Optimizing Variant Calling Performance with Illumina Machine Learning and DRAGEN Graph by Illumina Inc. (2022)
  
• DRAGEN Wins at PrecisionFDA Truth Challenge V2 Showcase Accuracy Gains from Alt-aware Mapping and Graph Reference Genomes by Illumina Inc. (2020)
  
• Genotyping variants at population scale using DRAGEN gVCF Genotyper by Illumina Inc. (2023)
  
• Overcoming high homology to detect variation in CYP21A2 with whole-genome sequencing in DRAGEN by Illumina Inc. (2023)
  
• precisionFDA Truth Challenge V2: Calling variants from short- and long-reads in difficult-to-map regions (Preprint) by Olson et al (2020)
  
• Unveiling Illumina Connected Annotations: A breakthrough in genomic annotation by Illumina Inc. (2024)
  

Allen Cell Imaging Collections

Tutorials

• Download and train label-free models by Greg Johnson
  
• Integrating single-cell sequencing and nuclear imaging data by Chengxiang Qiu and William Noble
  

Tools & Applications

• AICS Volume Viewer by Dan Toloudis
  
• AICSImageIO by Matthew Bowden, Jackson Brown, Jamie Sherman, Dan Toloudis
  
• Allen Cell Feature Explorer by Allen Institute for Cell Science
  
• Allen Cell Structure Segmenter by Jianxu Chen, Liya Ding, Matheus P. Viana, Melissa C. Hendershott, Ruian Yang, Irina A. Mueller, Susanne M. Rafelski
  
• Integrated Mitotic Stem Cell by Allen Institute for Cell Science
  
• Pytorch 3D Integrated Cell by Gregory R. Johnson, Rory M. Donovan-Maiye, Mary M. Maleckar
  
• Visual Guide to Human Cells by Allen Institute for Cell Science
  

Publications

• 4D hybrid model interrogates agent-level rules and parameters driving hiPS cell colony dynamics by Jessica S. Yu, Blair Lyons, Susanne Rafelski, Julie A. Theriot, Neda Bagheri & Graham T. Johnson
  
• A comprehensive analysis of gene expression changes in a high replicate and open-source dataset of differentiating hiPSC-derived cardiomyocytes by Tanya Grancharova*, Kaytlyn A. Gerbin*, Alexander B. Rosenberg, Charles M. Roco, Joy E.Arakaki , Colette M. DeLizo, Stephanie Q. Dinh, Rory M. Donovan-Maiye, Matthew Hirano, Angelique M. Nelson, Joyce Tang, Julie A. Theriot, Calysta Yan, Vilas Menon, Sean P. Palecek, Georg Seelig & Ruwanthi N. Gunawardane
  
• A deep generative model of 3D single-cell organization by Rory M. Donovan-Maiye, Jackson M. Brown, Caleb K. Chan, Liya Ding, Calysta Yan, Nathalie Gaudreault, Julie A. Theriot, Mary M. Maleckar, Theo A. Knijnenburg & Gregory R. Johnson
  
• A human induced pluripotent stem (hiPS) cell model for the holistic study of epithelial to mesenchymal transitions (EMTs) by Caroline Hookway*, Antoine Borensztejn*, Leigh K. Harris*, Sara Carlson, Gokhan Dalgin, Suraj Mishra, Nivedita Nivedita, Ellen M. Adams, Tiffany Barszczewski, Julie C. Dixon, Jacqueline H. Edmonds, Erik A. Ehlers, Alexandra J. Ferrante, Margaret A. Fuqua, Philip Garrison, Janani Gopalan, Benjamin W. Gregor, Maxwell J. Hedayati, Kyle N. Klein, Chantelle L. Leveille, Sean L. Meharry, Haley S. Morris, Gouthamrajan Nadarajan, Sandra A. Oluoch, Serge E. Parent, Amber Phan, Brock Roberts, Emmanuel E. Sanchez, M. Filip Sluzewski, Lev S. Snyder, Derek J. Thirstrup, John Paul Thottam, Julia R. Torvi, Gaea Turman, Matheus P. Viana, Lyndsay Wilhelm, Chamari S. Wijesooriya, Jie Yao, Julie A. Theriot, Susanne M. Rafelski & Ruwanthi N. Gunawardane
  
• Automated human induced pluripotent stem cell culture and sample preparation for 3D live-cell microscopy by Benjamin W. Gregor*, Mackenzie E. Coston*, Ellen M. Adams, Joy Arakaki, Antoine Borensztejn, Thao P. Do, Margaret A. Fuqua, Amanda Haupt, Melissa C. Hendershott, Winnie Leung, Irina A. Mueller, Aditya Nath, Angelique M. Nelson, Susanne M. Rafelski, Emmanuel E. Sanchez, Madison J. Swain-Bowden, W. Joyce Tang, Derek J. Thirstrup, Winfried Wiegraebe, Brian P. Whitney, Calysta Yan, Ruwanthi N. Gunawardane & Nathalie Gaudreault
  
• Cell states beyond transcriptomics: Integrating structural organization and gene expression in hiPSC-derived cardiomyocytes by Kaytlyn A. Gerbin*, Tanya Grancharova*, Rory M. Donovan-Maiye*, Melissa C. Hendershott*, Helen G. Anderson, Jackson M. Brown, Jianxu Chen, Stephanie Q. Dinh, Jamie L. Gehring, Gregory R. Johnson, HyeonWoo Lee, Aditya Nath, Angelique M. Nelson, M. Filip Sluzewski, Matheus P. Viana, Calysta Yan, Rebecca J. Zaunbrecher, Kimberly R. Cordes Metzler, Nathalie Gaudreault, Theo A. Knijnenburg, Susanne M. Rafelski, Julie A. Theriot & Ruwanthi N. Gunawardane
  
• Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories by Julie C. Dixon*, Christopher L. Frick*, Chantelle L. Leveille*, Philip Garrison, Peyton A. Lee, Saurabh S. Mogre, Benjamin Morris, Nivedita Nivedita, Ritvik Vasan, Jianxu Chen, Cameron L. Fraser, Clare R. Gamlin, Leigh K. Harris, Melissa C. Hendershott, Graham T. Johnson, Kyle N. Klein, Sandra A. Oluoch, Derek J. Thirstrup, M. Filip Sluzewski, Lyndsay Wilhelm, Ruian Yang, Daniel M. Toloudis, Matheus P. Viana, Julie A. Theriot & Susanne M. Rafelski
  
• Integrated intracellular organization and its variations in human iPS cells by Matheus P. Viana, Jianxu Chen*, Theo A. Knijnenburg*, Ritvik Vasan*, Calysta Yan*... Allen Institute for Cell Science... Graham T. Johnson, Ruwanthi N. Gunawardane, Nathalie Gaudreault, Julie A. Theriot & Susanne M. Rafelski
  
• Interpretable representation learning for 3D multi-piece intracellular structures using point clouds by Ritvik Vasan, Alexandra J. Ferrante, Antoine Borensztejn, Christopher L. Frick, Nathalie Gaudreault, Saurabh S. Mogre, Benjamin Morris, Guilherme G. Pires, Susanne M. Rafelski, Julie A. Theriot & Matheus P. Viana
  
• Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy by Chawin Ounkomol, Sharmishtaa Seshamani, Mary M. Maleckar, Forrest Collman & Gregory R. Johnson
  
• Systematic gene tagging using CRISPR/Cas9 in human stem cells to illuminate cell organization by Brock Roberts*, Amanda Haupt*, Andrew Tucker, Tanya Grancharova, Joy Arakaki, Margaret A. Fuqua, Angelique Nelson, Caroline Hookway, Susan A. Ludmann, Irina A. Mueller, Ruian Yang, Rick Horwitz, Susanne M. Rafelski & Ruwanthi N. Gunawardane
  

NASA Prediction of Worldwide Energy Resources (POWER)

Tutorials

• About the Prediction Of Worldwide Energy Resources (POWER) Project ArcGIS StoryMap. by The POWER Project
  
• Accessing and Subsetting POWER data, from AWS S3 using Python. by The POWER Project
  

Tools & Applications

• NASA POWER NetCDF Data Download by The POWER Project
  
• POWER Application Programming Interface (API) by The POWER Project
  
• POWER Data Access Viewer (DAV) by The POWER Project
  

Publications

• A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
  
• Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
  
• Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
  
• Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
  
• CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
  
• Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
  
• Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
  
• Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
  
• Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
  
• Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
  
• NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
  
• The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini
  
• Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors
  

Cell Painting Gallery

Tutorials

• Cell Painting wiki by Multiple Authors
  
• Center for Open Bioimage Analysis (COBA) YouTube Channel - video tutorials of CellProfiler and other softwares by Multiple Authors
  
• Image-based Profiling Handbook - for processing image-based profiling datasets using CellProfiler and pycytominer by Multiple Authors
  
• Image-based profiling introductory exercise - data and an exercise on exploring image-based profiles, including understanding the various data levels by Beth Cimini
  
• Scientific Community Image Forum - for software-oriented aspects of scientific imaging including analysis, processing, and acquisition by Multiple Authors
  

Tools & Applications

• Accelerating Drug Discovery with high-throughput Cell Painting on AWS by Chris Kaspar
  
• Deep Profiler - Morphological profiling using deep learning by Multiple Authors
  
• Distributed CellProfiler - Run encapsulated docker containers with CellProfiler in the Amazon Web Services infrastructure by Multiple Authors
  
• Image-based Profiling Recipe by Multiple Authors
  
• Pycytominer - Data processing functions for profiling perturbations by Multiple Authors
  

Publications

• A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay by Bray M-A, Gustafsdottir SM, Rohban MH, Singh S, Ljosa V, Sokolnicki KL, Bittker JA, Bodycombe NE, Dancik V, Hasaka TP, Hon CS, Kemp MM, Li K, Walpita D, Wawer MJ, Golub TR, Schreiber SL, Clemons PA, Shamji AF, & Carpenter AE
  
• Cell Painting predicts impact of lung cancer variants by Caicedo JC, Arevalo J, Piccioni F, Bray MA, Hartland CL, Wu X, Brooks AN, Berger AH, Boehm JS, Carpenter AE, & Singh S
  
• Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes by Bray M-A, Singh S, Han H, Davis CT, Borgeson B, Hartland C, Kost-Alimova M, Gustafsdottir SM, Gibson CC, & Carpenter AE
  
• Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects by Singh S, Wu X, Ljosa V, Bray M-A, Piccioni F, Root DE, Doench JG, Boehm JS, & Carpenter AE
  
• Multiplex Cytological Profiling Assay to Measure Diverse Cellular States by Gustafsdottir SM, Ljosa V, Sokolnicki KL, Wilson JA, Walpita D, Kemp MM, Seiler KP, Carrel HA, Golub TR, Schreiber SL, Clemons PA, Carpenter AE, and Shamji AF
  
• Systematic morphological profiling of human gene and allele function via Cell Painting by Rohban MH, Singh S, Wu X, Berthet JB, Bray M-A, Shrestha Y, Varelas X, Boehm JS, & Carpenter AE
  
• Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling by Wawer MJ, Li K, Gustafsdottir SM, Ljosa V, BodycombeNE, Marton MA, Sokolnicki KL, Bray M-A, Kemp MM, Winchester E, Taylor B, Grant GB, Hon CSK, Duvall JR, Wilson JA, Bittker JA, Dancik V, Narayan R, Subramanian A, Winckler W, Golub TR, Carpenter AE, Shamji AF, Schreiber SL, & Clemons PA
  

ESA WorldCover

Tutorials

• Exploring the dataset (STAC API examples) by VITO
  
• Global Fire Spread Prediction System by SatelliteVu
  

Tools & Applications

• ESA Viewer 2020 by ESA
  
• ESA Viewer 2021 by ESA
  
• TerraScope Viewer by TerraScope
  
• WorldCover GEE App by VITO
  
• WorldCover Viewer by VITO
  

Publications

• ESA WorldCover 10 m 2020 v100 by Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021.
  
• ESA WorldCover 10 m 2020 v100 - Product User Manual by VITO
  
• ESA WorldCover 10 m 2021 v200 by Zanaga, D., Van De Kerchove, R.,Daems, D.,De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.E., Xu, P., Ramoino, F., Arino, O.
  
• ESA WorldCover 10 m 2021 v200 - Product User Manual by VITO
  
• Fusing GEDI with earth observation data for large area aboveground biomass mapping by Yuri Shendryk
  
• Release of the 10 m WorldCover map by Ruben Van De Kerchove
  
• The world's most populated and greenest megacities (and how we found out) by Michael Dangermond, Emily Meriam
  
• WorldCover taking it to the next level by Ruben Van De Kerchove
  

SpaceNet

Tutorials

• Extracting buildings and roads from AWS Open Data using Amazon SageMaker by Yunzhi Shi, Tianyu Zhang, and Xin Chen
  Amazon SageMaker
• Getting Started with SpaceNet Data by Adam Van Etten
  

Tools & Applications

• Solaris: an open source Python library for analyzing overhead imagery with machine learning by Nick Weir
  

Publications

• Accelerating Ukraine Intelligence Analysis with Computer Vision on Synthetic Aperture Radar Imagery by Ritwik Gupta, Colorado Reed, Anja Rohrbach, and Trevor Darrell
  
• Creating Training Datasets for the SpaceNet Road Detection and Routing Challenge by Adam Van Etten and Jake Shermeyer
  
• Deploying the SpaceNet 6 Baseline on AWS by Adam Van Etten and Nick Weir
  
• FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images by Xuerui Niu, Qiaolin Zeng, Xiaobo Luo and Liangfu Chen
  
• Introducing the SpaceNet Off-Nadir Imagery Dataset by David Lindenbaum
  
• Introducing the SpaceNet Road Detection and Routing Challenge and Dataset by David Lindenbaum
  
• SpaceNet 5 Dataset Release by Adam Van Etten and Ryan Lewis
  
• SpaceNet 6: Dataset Release by Jake Shermeyer
  
• SpaceNet 8 - The Detection of Flooded Roads and Buildings by Ronny Hansch, Jacob Arndt, Dalton Lunga, Matthew Gibb, Tyler Pedelose, Arnold Boedihardjo, Desiree Petrie, Todd M. Bacastow
  
• SpaceNet: Winning Implementations and New Imagery Release by Todd Stavish
  
• The SpaceNet 7 Multi-Temporal Urban Development Challenge: Dataset Release by Adam Van Etten
  
• The SpaceNet 8 Flood Detection Challenge: Dataset and Algorithmic Baseline Release by SpaceNet
  

2021 Amazon Last Mile Routing Research Challenge Dataset

Tools & Applications

• AWS Last Mile Route Sequence Optimization by Chen Wu, Yin Song, Verdi March, Eden Duthi
  
• Code repository used for the 2021 Amazon Routing Research Challenge (this repository is included for reference and documentation purposes only, you do not need to install it to access the data) by CAVE Lab, MIT Center for Transportation and Logistics
  

Publications

• 2021 Amazon Last Mile Routing Research Challenge: Data Set by Daniel Merchán, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks, Joseph Noszek
  
• Can language models be used for real-world urban-delivery route optimization? by Yang Liu, Fanyou Wu, Zhiyuan Liu, Kai Wang, Feiyue Wang, Xiaobo Qu
  
• Constrained Local Search for Last-Mile Routing by William Cook, Stephan Held, Keld Helsgaun
  
• Crowdkeeping in Last-Mile Delivery by Xin Wang , Okan Arslan , Erick Delage
  
• Does parking matter? The impact of parking time on last-mile delivery optimization by Sara Reed, Ann Melissa Campbell, Barrett W. Thomas
  
• Human-Centric Parcel Delivery at Deutsche Post with Operations Research and Machine Learning by Uğur Arikan , Thorsten Kranz, Baris Cem Sal, Severin Schmitt, Jonas Witt
  
• Integrating driver behavior into last-mile delivery routing - Combining machine learning and optimization in a hybrid decision support framework by Peter Dieter, Matthew Caron, Guido Schryen
  
• Inverse Optimization for Routing Problems by Pedro Zattoni Scroccaro, Piet van Beek, Peyman Mohajerin Esfahani, Bilge Atasoy
  
• Learn global and optimize local A data-driven methodology for last-mile routing by Mayukh Ghosh, Alex Kuiper, Roshan Mahes, Donato Maragno
  
• Machine Learning for Data-Driven Last-Mile Delivery Optimization by Sami Serkan Özarik, Paulo da Costa, Alexandre M. Florio
  
• Making opportunity sales in attended home delivery by Çelen Naz Ötken, Bariş Yildiz, Okan Arslan, Gilbert Laporte
  
• Planning robust drone-truck delivery routes under road traffic uncertainty by Yu Yang, Chiwei Yan, Yufeng Cao, Roberto Roberti
  
• Predicting drivers route trajectories in last-mile delivery using a pair-wise attention-based pointer neural network by Baichuan Mo, Qingyi Wang, Xiaotong Guo, Matthias Winkenbach, Jinhua Zhao
  
• Probability estimation and structured output prediction for learning preferences in last mile delivery by Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns
  
• The Driver-Aide Problem Coordinated Logistics for Last-Mile Delivery by S. Raghavan , Rui Zhang
  

Low Altitude Disaster Imagery (LADI) Dataset

Tutorials

• LADI v1 Tutorials by Andrew Weinert, Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren, Ryan Earley, Nadia Dimitrova
  
• LADI v2 Overview by Jeffrey Liu, Sam Scheele, Katherine Picchione
  

Tools & Applications

• NIST TRECVID 2020 - Disaster Scene Description and Indexing (DSDI) by TREC Video Retrieval Evaluation (TRECVID)
  
• Remote Sensing for Disaster Response Course by Beaver Works Summer Institute
  

Publications

• Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI by Vamshi Krishna Enabothala, Morgan Dutton, and Sandeep Verma
  
• An overview on the evaluated video retrieval tasks at TRECVID 2022 by George Awad, Keith Curtis, Asad Butt, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Lukas Diduch, Jeffrey Liu, Yvette Graham, Georges Quenot
  
• Evaluating Multiple Video Understanding and Retrieval Tasks at TRECVID 2021 by George Awad, Asad Butt, Keith Curtis, Jonathan G. Fiscus, Afzal A. Godil, Yooyoung Lee, Andrew Delgado, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Yvette Graham, Gareth Jones, Georges Quenot
  
• Large Scale Organization and Inference of an Imagery Dataset for Public Safety by Jeffrey Liu, David Strohschein, Siddharth Samsi, Andrew Weinert
  
• Train and Deploy an Image Classifier for Disaster Response by Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
  
• TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains by George Awad, Asad A. Butt, Keith Curtis, Jonathan Fiscus, Afzal Godil, Yooyoung Lee, Andrew Delgado, Jesse Zhang, Eliot Godard, Baptiste Chocot, Lukas Diduch, Jeffrey Liu, Alan F. Smeaton, Yvette Graham, Gareth J. F. Jones, Wessel Kraaij, Georges Quenot
  
• Video Testing at the FirstNet Innovation and Test Lab Using a Public Safety Dataset by Chris Budny, Jeffrey Liu, Andrew Weinert
  

Radiant MLHub

Tutorials

• Explore wind speed images from Amazon Sustainability Data Initiative (ASDI) hosted on S3 using SageMaker Studio Lab (SMSL) by Frank Rubino
  
  Amazon SageMaker Studio Lab
• How to access Radiant MLHub Data by Radiant Earth
  
• Radiant MLHub Tutorials with Jupyter Notebooks by Kevin Booth
  

Tools & Applications

• Challenge on Computer Vision for Crop Detection from Satellite Imagery by Radiant Earth
  
• Radiant MLHub Dataset Registry by Radiant Earth
  

Publications

• A Guide for Collecting and Sharing Ground Reference Data for Machine Learning Applications by Yonah Bromberg Gaber
  
• Creating a Machine Learning Commons for Global Development by Hamed Alemohammad
  
• Geo-Diverse Open Training Data as a Global Public Good by Hamed Alemohammad
  

Materials Project Data

Tutorials

• Getting Started with the Materials API (MAPI) by Materials Project
  
• Materials Project Data on AWS OpenData by Materials Project
  

Tools & Applications

• Atomate2 by Materials Project
  
• FireWorks by Materials Project
  
• MP API python client by Materials Project
  
• Pymatgen by Materials Project
  

Publications

• The Materials Project: A materials genome approach to accelerating materials innovation by Jain A., Ong S.P., Hautier G., et al.
  

10m Annual Land Use Land Cover (9-class)

Tools & Applications

• View the dataset on UN Biodiversity Lab Map Viewer by United Nations Development Programme
  

Publications

• Global land use / land cover with Sentinel 2 and deep learning by K. Karra, C. Kontgis, Z. Statman-Weil, J. C. Mazzariello, M. Mathis and S. P. Brumby
  
• Mapping the world with unmatched frequency by Mark Hannel
  
• The world's most populated and greenest megacities (and how we found out) by Esri
  
• These maps from satellite data show how much Earth has changed in only five years by Fast Company
  
• ‘Very Dire’: Devastated by Floods, Pakistan Faces Looming Food Crisis by New York Times
  

Pacific Ocean Sound Recordings

Tutorials

• Tutorials on machine learning and signal processing methods for anthropogenic and cetacean study using the pacific-sound archives by MBARI
  

Publications

• Animal-borne metrics enable acoustic detection of blue whale migration by Oestreich et al. (2020)
  
• Humpback whale song occurrence reflects ecosystem variability in feeding and migratory habitat of the northeast Pacific by Ryan et al. (2019)
  
• New Passive Acoustic Monitoring in Monterey Bay National Marine Sanctuary by Ryan et al. (2016)
  
• Reduction of Low-Frequency Vessel Noise in Monterey Bay National Marine Sanctuary During the COVID-19 Pandemic by Ryan et al. (2021)
  
• Seal bomb noise as a potential threat to Monterey Bay harbor porpoise by Simonis et al. (2020)
  

RarePlanes

Tutorials

• Announcing YOLTv4: Improved Satellite Imagery Object Detection by Adam Van Etten
  
• Automatically compress and archive satellite imagery for Amazon S3 by Newel Hirst, Joseph Fahimi, and Justin Downes
  Amazon S3Amazon S3 GlacierAWS LambdaAmazon ECR
• Getting Started with YOLTv4 for Object Detection in Imagery: Getting Training Data by Sophia Parafina
  
• Notebook for training and testing YOLYv4 by Adam Van Etten
  

Tools & Applications

• RarePlanes Codebase by Thomas Hossler and Jacob Shermeyer
  

Publications

• RarePlanes: Synthetic Data Takes Flight by Jacob Shermeyer, Thomas Hossler, Adam Van Etten, Daniel Hogan, Ryan Lewis, Daeil Kim
  

Solar Dynamics Observatory (SDO) Machine Learning Dataset

Tutorials

• SDOMLv2 Github by Wright, Paul J.; Jin, Meng; Cheung, Mark C. M.
  

Tools & Applications

• ML applications based on the SDOMLv1 dataset by Salvatelli, Valentina; dos Santos, Luiz F. G.; Bose, Souvik; Neuberg, Brad; Cheung, Mark C. M.; Janvier, Miho; Jin, Meng; Gal, Yarin; Boerner, Paul; Baydin, Atılım Güneş
  
• ML applications based on the SDOMLv2 dataset by Wright, Paul J.
  
• Scripts for generating the SDOMLv1 dataset by Fouhey, David F.; Jin, Meng
  
• Scripts for generating the SDOMLv2 dataset by Jin, Meng
  

Publications

• A Machine-learning Data Set Prepared from the NASA Solar Dynamics Observatory Mission by Galvez, Richard; Fouhey, David F.; Jin, Meng; Szenicer, Alexandre; et al
  

ESA WorldCover Sentinel-1 and Sentinel-2 10m Annual Composites

Tutorials

• Exploring the datasets by VITO
  

Tools & Applications

• WorldCover Viewer by VITO
  

Publications

• ESA WorldCover 10 m 2021 v200 by Zanaga, D., Van De Kerchove, R.,Daems, D.,De Keersmaecker, W., Brockmann, C., Kirches, G., Wevers, J., Cartus, O., Santoro, M., Fritz, S., Lesiv, M., Herold, M., Tsendbazar, N.E., Xu, P., Ramoino, F., Arino, O.
  
• ESA WorldCover 10 m 2021 v200 - Product User Manual by VITO
  
• Release of the 10 m WorldCover map by Ruben Van De Kerchove
  

High resolution, annual cropland and landcover maps for selected African countries

Tutorials

• Accessing and downloading data by Rahebe Abedi
  

Publications

• A super-ensemble approach to map land cover types with high resolution over data-sparse African savanna landscapes by Song et al. (2023)
  
• Final report-Phase 1: Creating open agricultural maps and ground truth data to better deliver farm extension services by Estes et al (2022)
  
• Final report-Phase 2: Creating next generation field boundary and crop type maps: Rigorous multi-scale groundtruth provides sustainable extension services for smallholders by Wussah et al (2022)
  
• High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales by Estes et al. (2022)
  

MONKEY

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• MONKEY Challenge by Computational Pathology Group Radboudumc, Nijmegen
  
• MONKEY challenge tutorials by Computational Pathology Group Radboudumc, Nijmegen
  
• Structured description of the MONKEY Challenge by Linda Studer, Dominique van Midden, Fazael Ayatollahi, Jeroen van der Laak
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

A region-wide, multi-year set of crop field boundary labels for Africa

Tutorials

• Instructions on data access and label-making demonstration notebook by Lyndon Estes
  
  

Publications

• A platform for crowdsourcing the creation of representative, accurate landcover maps by Estes et al. (2016)
  
• A region-wide, multi-year set of crop field boundary labels for Africa by Estes et al. (2024)
  
• A region-wide, multi-year set of crop field boundary labels for Africa by Wussah et al. (2023)
  
• Generalization enhancement strategies to enable cross-year cropland mapping with convolutional neural networks trained using historical samples by Khallaghi et al. (2025)
  
• High resolution, annual maps of field boundaries for smallholder-dominated croplands at national scales by Estes et al. (2022)
  
• Technical report on label develop and processing by Wussah et al. (2023)
  

High Resolution Canopy Height Maps by WRI and Meta

Tools & Applications

• Global Canopy Height on Earth Engine by Meta and WRI
  

Publications

• Every tree counts: Large-scale mapping of canopy height at the resolution of individual trees by Jamie Tolan, Camille Couprie, and Tracy Johns
  
• Sub-meter resolution canopy height maps using self-supervised learning and a vision transformer trained on Aerial and GEDI Lidar by Jamie Tolan, Hung-I Yang, Ben Nosarzewski, Guillaume Couairon, Huy Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
  
• Using Artificial Intelligence to Map the Earth’s Forests by Jamie Tolan, Camille Couprie, John Brandt, Justine Spore, Tobias Tiecke, Tracy Johns and Patrick Nease
  

OpenCell on AWS

Tools & Applications

• cytoself (an unsupervised ML model to quantify localization patterns) by Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
  
• OpenCell web portal by OpenCell team
  

Publications

• OpenCell: proteome-scale endogenous tagging enables the cartography of human cellular organization by Nathan H. Cho, Keith C. Cheveralls, Andreas-David Brunner, Kibeom Kim, André C. Michaelis, Preethi Raghavan, et al.
  
• Self-Supervised Deep-Learning Encodes High-Resolution Features of Protein Subcellular Localization by Hirofumi Kobayashi, Keith C. Cheveralls, Manuel D. Leonetti, Loic A. Royer
  

Sentinel-2 L2A 120m Mosaic

Tutorials

• How to Make the Perfect Time-Lapse of the Earth by Matic Lubej
  

Tools & Applications

• Digital Twin Sandbox by Sentinel Hub
  
• Sentinel Hub WMS/WMTS/WCS Service and Process API by Sinergise
  

Publications

• Digital Twin Sandbox Sentinel-2 collection available to everyone by Grega Milcinski & Matic Lubej
  

iSDAsoil

Tutorials

• iSDAsoil Python tutorial by Matt Miller
  AWS CloudFormationAmazon SageMaker

Tools & Applications

• iSDAsoil homepage - view soil property maps online by iSDA
  
• iSDAsoil liming demo app on Observable by Jamie Collinson
  

Publications

• African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning by Tomislav Hengl, Matthew A. E. Miller, Josip Križan, Keith D. Shepherd, Andrew Sila, Milan Kilibarda, Ognjen Antonijević, Luka Glušica, Achim Dobermann, Stephan M. Haefele, Steve P. McGrath, Gifty E. Acquah, Jamie Collinson, Leandro Parente, Mohammadreza Sheykhmousa, Kazuki Saito, Jean-Martial Johnson, Jordan Chamberlin, Francis B. T. Silatsa, Martin Yemefack, John Wendt, Robert A. MacMillan, Ichsani Wheeler & Jonathan Crouch
  

Allen Ivy Glioblastoma Atlas

Tutorials

• Accessing Ivy Glioblastoma Atlas Project data by Allen Institute for Brain Science
  

Tools & Applications

• Ivy Glioblastoma Atlas Project by Allen Institute for Brain Science
  

Publications

• An anatomic transcriptional atlas of human glioblastoma by Ralph Puchalski, et al.
  

I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database

Tools & Applications

• WFDB Software Package by Moody, G., Pollard, T., & Moody, B.
  

Publications

• I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
  
• The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
  

NASA SOHO/LASCO2 comet challenge on AWS

Publications

• Topcoder Challenge Finds Two New Comets For NASA by Annika Nagy
  
• Topcoder NASA Comet Discovery: A Recap by TopCoder
  
• Winners Selected for the NASA SOHO Comet Search with Artificial Intelligence Open-Science Challenge by Denise Hill
  

National Cancer Institute Imaging Data Commons (IDC) Collections

Tutorials

• IDC "Getting started" tutorial series by Imaging Data Commons team
  

Tools & Applications

• IDC Portal by Imaging Data Commons team
  

Publications

• NCI Imaging Data Commons by Fedorov A, Longabaugh W, Pot D, Clunie D, Pieper S, Aerts H, et al.
  

PD12M

Tutorials

• Downloading Images by Spawning
  
• Working with the Metadata by Spawning
  

Tools & Applications

• Hugging Face Dataset by Spawning
  
• Source.Plus by Spawning
  

Publications

• Datasheet by Spawning
  
• PD12M: A Large-Scale Image Captioning Dataset by Jordan Meyer, Nick Padgett, Laura Exline, Cullen Miller
  

SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography

Tools & Applications

• IIIC-SPaRCNet Github Repository by Brain Data Science Platform (BDSP)
  

Publications

• Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation by Jing J, Ge W, Hong S, Fernandes MB, Lin Z, Yang C et al., et al.
  
• SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography by Jing, J., Ge, W., Struck, A. F., Fernandes, M., Hong, S., An, S., et al.
  

Sophos/ReversingLabs 20 Million malware detection dataset

Tutorials

• SOREL-20M quickstart by Richard Harang
  Amazon S3Amazon EC2

Tools & Applications

• SOREL-20M dataset interface code by Richard Harang and Ethan M Rudd
  

Publications

• SOREL-20M: A Large Scale Benchmark Dataset for Malicious PE Detection by Richard Harang and Ethan M Rudd
  

Wind AI Bench

Tutorials

• Airfoil 2k by Dakota Ramos, Andrew Glaws
  
• Airfoil 9k by Dakota Ramos, Andrew Glaws
  
• Wind AI Bench FLORIS PlayGen by Dakota Ramos, Andrew Glaws
  

Africa Soil Information Service (AfSIS) Soil Chemistry

Tutorials

• AfSIS Soil Chemistry - Usage Tutorial by QED
  

Publications

• Goalkeepers 2018, Soil - The Big Data Beneath Your Feet by QED
  

AgricultureVision

Publications

• Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis by Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
  
• The 2nd International Workshop and Prize Challenge on Agriculture-Vision, Challenges & Opportunities for Computer Vision in Agricutlure by Humphrey Shi, Naira Hovakimyan, Jennifer Hobbs, Ed Delp, Melba Crawford, Zhen Li, David Clifford, Jim Yuan, Mang Tik Chiu, Xingqian Xu
  

Astrophysics Division Galaxy Segmentation Benchmark Dataset

Publications

• Galaxy Zoo: 3D – crowdsourced bar, spiral, and foreground star masks for MaNGA target galaxies by Karen L Masters, Coleman Krawczyk, Shoaib Shamsi, Alexander Todd, Daniel Finnegan, Matthew Bershady, Kevin Bundy, Brian Cherinka, Amelia Fraser-McKelvie, Dhanesh Krishnarao, Sandor Kruk, Richard R Lane, David Law, Chris Lintott, Michael Merrifield, Brooke Simmons, Anne-Marie Weijmans, Renbin Yan
  
• Pan-STARRS Pixel Processing: Detrending, Warping, Stacking by C. Z. Waters, E. A. Magnier, P. A. Price, K. C. Chambers, W. S. Burgett, P. W. Draper, H. A. Flewelling, K. W. Hodapp, M. E. Huber, R. Jedicke, N. Kaiser, R.-P. Kudritzki, R. H. Lupton, N. Metcalfe, A. Rest, W. E. Sweeney, J. L. Tonry, R. J. Wainscoat, and W. M. Wood-Vase
  

Aurora Multi-Sensor Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Andrei Bârsan (note: Aurora makes no representations as to the accuracy or functionality of the tutorial)
  Amazon SageMaker Studio Lab

Publications

• "Pit30M: A benchmark for global localization in the age of self-driving cars", in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484) by Martinez, J., Doubov, S., Fan, J., Bârsan, I. A., Wang, S., Máttyus, G., Urtasun, R.
  

Consented Activities of People

Tools & Applications

• OpenFAD - Open Fine Grained Activity Detection Challenge by Visym Labs & NIST
  
• Visym Collector by Visym Labs & Systems & Technology Research
  

CryoET Data Portal

Tutorials

• Downloading data via the AWS CLI by CZI
  
• Examples of working with the portal API by CZI
  
• Predicting sample boundaries by CZI
  

Tools & Applications

• Python API for CryoET Data Portal by CZI
  

Publications

• Cryo-ET reveals the in situ architecture of the polar tube invasion apparatus from microsporidian parasites by Mahrukh Usmani, et al.
  

DigitalCorpora

Publications

• Bringing Science to Digital Forensics with Standardized Forensic Corpora by Garfinkel, Farrell, Roussev and Dinolt
  
• Creating Realistic Corpora for Forensic and Security Education by Woods, K., Christopher Lee, Simson Garfinkel, David Dittrich, Adam Russel, Kris Kearton
  

EEGDash on AWS

Tutorials

• Deep Learning on EEGDash Data example by SCCN
  

Tools & Applications

• eegdash on pypi.python.org - Python module to query and download EEGDash data from Amazon S3 by Young Truong
  

Emory Knee Radiograph (MRKR) dataset

Tutorials

• Example Notebook by Emory-HITI
  

Publications

• Emory Knee Radiograph Dataset by Brandon Price, Jason Adleberg, Kaesha Thomas, Zach Zaiman, Aawez Mansuri, Beatrice Brown-Mulry, Chima Okecheukwu, Judy Gichoya, Hari Trivedi.
  

Harvard Electroencephalography Database

Tools & Applications

• Harvard-EEG-Database-Tools by Brain Data Science Platform (BDSP)
  

Publications

• Harvard Electroencephalography Database by Zafar, S., Loddenkemper, T., Lee, J. W., Cole, A., Goldenholz, D., Peters, J., et al.
  

Harvard-Emory ECG Database

Tools & Applications

• WFDB Software Package by Moody, G., Pollard, T., & Moody, B.
  

Publications

• Harvard Electroencephalography Database by Moura Junior, V.; Reyna, M.; Hong, S.; Gupta, A.; Ghanta, M.; Sameni, R., et al.
  

Neural Encoding Simulation Toolkit (NEST)

Tutorials

• In-Silico EEG Data Tutorial by Alessandro Gifford
  
  Amazon S3
• In-Silico fMRI Data Tutorial by Alessandro Gifford
  
  Amazon S3
• Quickstart Tutorial by Domenic Bersch
  
  Amazon S3

Tools & Applications

• Neural Encoding Simulation Toolkit (NEST) by Alessandro Gifford
  

Publications

• The Neural Encoding Simulation Toolkit by Alessandro Gifford
  

SeeFar V0

Tutorials

• Getting Started with SeeFar for Multi-Resolution Geospatial Analysis by James Lowman - Coastal Carbon
  Amazon SageMakerAmazon S3

Publications

• SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models by Lowman, J., Zheng, K. L., Fraser, R., The, J. V. G., & Valipour, M.
  

3DCoMPaT: Composition of Materials on Parts of 3D Things

Publications

• 3DCoMPaT: Composition of Materials on Parts of 3D Things by Yuchen Li, Ujjwal Upadhyay, Habib Slim, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka & Mohamed Elhoseiny
  

A2D2: Audi Autonomous Driving Dataset

Tutorials

• Autonomous Driving Data Service (ADDS) by Ajay Vohra, Amazon
  Amazon EKSAmazon RedshiftAmazon S3Amazon FSx

AI2 Diagram Dataset (AI2D)

Publications

• A Diagram is Worth a Dozen Images by Aniruddha Kembhavi, Michael Salvato, Eric Kolve, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi
  

AI2 Meaningful Citations Data Set

Publications

• Identifying Meaningful Citations by Marco Valenzuela, Vu A. Ha, Oren Etzioni
  

AI2 Reasoning Challenge (ARC) 2018

Publications

• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challengg by Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord
  

Astrophysics Division Galaxy Morphology Benchmark Dataset

Publications

• Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging by Kyle W. Willett, Melanie A. Galloway, Steven P. Bamford, Chris J. Lintott, Karen L. Masters, Claudia Scarlata, B. D. Simmons, Melanie Beck, Carolin N. Cardamone, Edmond Cheung, Edward M. Edmondson, Lucy F. Fortson, Roger L. Griffith, Boris Häußler, Anna Han, Ross Hart, Thomas Melvin, Michael Parrish, Kevin Schawinski, R. J. Smethurst, Arfon M. Smith
  

CHIMERA

Tools & Applications

• CHIMERA Challenge by Computational Pathology Group Radboudumc, Nijmegen
  

Corn Kernel Counting Dataset

Publications

• Broad Dataset and Methods for Counting and Localization of On-Ear Corn Kernels by Jennifer Hobbs, Vachik Khachatryan, Barathwaj Anandan, Harutyun Hovhannisyan, David Wilson
  

Discrete Reasoning Over the content of Paragraphs (DROP)

Publications

• DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs by Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
  

High Resolution Population Density Maps + Demographic Estimates by CIESIN and Meta

Tutorials

• Investigating environmental characteristics of US cities using publicly available ASDI datasets by Darren Ko
  
  Amazon SageMaker Studio Lab

Image classification - fast.ai datasets

Tools & Applications

• Oxford-IIIT Pet Image Classification on Amazon SageMaker by AWS
  

Longitudinal Nutrient Deficiency

Publications

• Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery by Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer Hobbs
  

MAN TruckScenes

Tutorials

• TruckScenes devkit tutorial by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
  

Tools & Applications

• PyPi package by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  
• TruckScenes devkit by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
  

Publications

• MANTruckScenes: A multimodal dataset for autonomous trucking in diverse conditions by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, et al
  

Mars Spectrometry 2: Gas Chromatography for the Sample Analysis at Mars Data (SAM) Instrument

Publications

• Mars Spectrometry: Mars Spectrometry 2 (Challenge Results) by DrivenData team and NASA partners
  

Mars Spectrometry: Detect Evidence for Past Habitability

Publications

• Mars Spectrometry: Detect Evidence for Past Habitability (Challenge Results) by DrivenData team and NASA partners
  

Multi-robot, Multi-Sensor, Multi-Environment Event Dataset (M3ED)

Publications

• M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset by Chaney K, Cladera F, et al.
  

NYUMets Brain Dataset

Publications

• Longitudinal deep neural networks for assessing metastatic brain cancer on a massive open benchmark. by Link et al (2023)
  

Orcasound - bioacoustic data for marine conservation

Tools & Applications

• Github for our open source projects by Orcasound open source community
  

Quoref

Publications

• Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning by Pradeep Dasigi, Nelson F. Liu, Ana Marasović, Noah A. Smith, Matt Gardner
  

RSNA Abdominal Trauma Detection (RSNA-ABT)

Publications

• The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset by Rudie, Jeffrey D.
  

RSNA Cervical Spine Fracture Detection (RSNA-CSF) Dataset

Publications

• The RSNA Cervical Spine Fracture CT Dataset by Ming, Hui Lin
  

RSNA Intracranial Hemorrhage Detection

Publications

• Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge by Rudie, Jeffrey D.
  

RSNA Pulmonary Embolism Detection

Publications

• The RSNA Pulmonary Embolism CT Dataset by Colak, Errol
  

Reasoning Over Paragraph Effects in Situations (ROPES)

Publications

• Reasoning Over Paragraph Effects in Situations by Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
  

Voices Obscured in Complex Environmental Settings (VOiCES)

Tutorials

• Getting started with VOiCES data by M.A. Barrios
  

Gretel Synthetic Safety Alignment Dataset

Tutorials

• Building Datasets to Enable Safer AI Responses by Gretel.ai
  
• Getting Started with the Gretel Safety Alignment Dataset by Gretel.ai
  

Tools & Applications

• Gretel Navigator Data Designer by Gretel.ai
  

Amazon Bin Image Dataset

Publications

• Amazon Bin Image Dataset Challenge by silverbottlep
  
• Amazon Inventory Reconciliation using AI by Pablo Rodriguez Bertorello, Sravan Sripada, Nutchapol Dendumrongsup
  

YouTube 8 Million - Data Lakehouse Ready

Tutorials

• Data Lake as Code Deployment Guide by AWS Industry Blueprints Team
  Amazon AthenaAWS GlueAWS Lake Formation

Publications

• YouTube 8 Million by Google Research
  

Amazon-PQA

Publications

• Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products by Ohad Rozen, David Carmel, Avihai Mejer, Vitaly Mirkis, and Yftah Ziser
  

Answer Reformulation

Publications

• Voice-based Reformulation of Community Answers by Simone Filice, Nachshon Cohen & David Carmel
  

Automatic Speech Recognition (ASR) Error Robustness

Publications

• Using Phoneme Representations to Build Predictive Models Robust to ASR Errors by Anjie Fang, Simone Filice, Nut Limsopatham and Oleg Rokhlenko
  

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

Publications

• DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue by Shikib Mehri, Mihail Eric, Dilek Hakkani-Tur
  

Enriched Topical-Chat Dataset for Knowledge-Grounded Dialogue Systems

Publications

• Policy-Driven Neural Response Generation for Knowledge-Grounded Dialogue Systems by Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim, Yang Liu, Mihail Eric & Dilek Hakkani-Tur
  

Humor Detection from Product Question Answering Systems

Publications

• Humor Detection in Product Question Answering Systems. by Yftah Ziser, Elad Kravi & David Carmel
  

Humor patterns used for querying Alexa traffic

Publications

• “Alexa, Do You Want to Build a Snowman?” Characterizing Playful Requests to Conversational Agents by Shani C., Libov A., Tolmach S., Lewin-Eytan L., Maarek Y., and Shahaf D.
  

Learning to Rank and Filter - community question answering

Publications

• IR Evaluation and Learning in the Presence of Forbidden Documents by David Carmel, Nachshon Cohen, Amir Ingber & Elad Kravi
  

Multi Token Completion

Publications

• Simple and Effective Multi-Token Completion from Masked Language Models by Oren Kalinsky, Guy Kushilevitz, Alex Libov & Yoav Goldberg
  

Pre- and post-purchase product questions

Publications

• "Did you buy it already?", Detecting Users Purchase-State From Their Product-Related Questions by Lital Kuchy, David Carmel, Thomas Huet & Elad Kravi
  

Product Comparison Dataset for Online Shopping

Publications

• Generating Explainable Product Comparisons for Online Shopping by Nikhita Vedula, Marcus Collins, Eugene Agichtein and Oleg Rokhlenko
  

PyEnvs and CallArgs

Publications

• Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion by Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis
  

VoiSeR

Publications

• VoiSeR: A New Benchmark for Voice-Based Search Refinement by Simone Filice, Giuseppe Castellucci, Marcus Collins, Eugene Agichtein & Oleg Rokhlenko
  

WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation

Publications

• WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation by Nachshon Cohen, Oren Kalinsky, Yftah Ziser & Alessandro Moschitti
  

Wizard of Tasks

Publications

• Wizard of Tasks: A Novel Conversational Dataset for Solving Real-World Tasks in Conversational Settings by Jason Ingyu Choi, Saar Kuzi, Nikhita Vedula, Jie Zhao, Giuseppe Castellucci, Marcus Collins, Shervin Malmasi, Oleg Rokhlenko and Eugene Agichtein