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.
  

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
  

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
  

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
  

CAncer MEtastases in LYmph nOdes challeNge (CAMELYON) Dataset

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• CAMELYON Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Publications

• 1399 H&E-stained sentinel lymph node sections of breast cancer patients: the CAMELYON dataset by Geert Litjens, et al.
  
• Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer by Babak Ehteshami Bejnordi, et al.
  
• From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge by Peter Bandi, et al.
  

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
  

Chalmers Cloud Ice Climatology

Tutorials

• Reading CCIC data by Adrià Amell & Simon Pfreundschuh
  Amazon S3
• Storm tracking with CCIC by Julia Kukulies
  Amazon S3

Tools & Applications

• CCIC on PyPI -- software for training and processing the CCIC retrievals and to read CCIC Zarr files by Simon Pfreundschuh
  

Publications

• The Chalmers Cloud Ice Climatology: Retrieval implementation and validation by Adrià Amell, Simon Pfreundschuh, and Patrick Eriksson
  

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
  

COBRA

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• COBRA Tools & Labels by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

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.
  

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
  

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
  

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.
  

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.
  

LEarning biOchemical Prostate cAncer Recurrence from histopathology sliDes challenge (LEOPARD) Dataset

Tools & Applications

• ASAP Viewer by Geert Litjens
  
• LEOPARD Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

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
  

Sub-Meter Canopy Tree Height of California in 2020 by CTrees.org

Publications

• Canopy Height Unlocked: California Forest Resources Detailed in New Tree-level Map by Daniel Melling
  
• Sub-Meter Tree Height Mapping of California using Aerial Images and LiDAR-Informed U-Net Model by Fabien H Wagner, Sophia Roberts, Alison L Ritz, Griffin Carter, Ricardo Dalagnol, Samuel Favrichon, Mayumi CM Hirye, Martin Brandt, Philippe Ciais and Sassan Saatchi
  

TIGER Training

Tools & Applications

• TIGER Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  
• Whole slide data - python package for working with wholeslide images and annotations files by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

A2D2: Audi Autonomous Driving Dataset

Tutorials

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

CHIMERA

Tools & Applications

• CHIMERA Challenge by Computational Pathology Group Radboudumc, Nijmegen
  

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.
  

Orcasound - bioacoustic data for marine conservation

Tools & Applications

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

MegaScenes

Tutorials

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

Tools & Applications

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

Publications

• MegaScenes: Scene-Level View Synthesis at Scale by Tung J., Chou G., Cai R., Yang, G., Zhang K., Wetzstein G., et al.
  

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
  

BodyM Dataset

Publications

• Human Body Measurement Estimation with Adversarial Augmentation by Nataniel Ruiz, Miriam Bellver, Timo Bolkart, Ambuj Arora, Ming C. Lin, Javier Romero and Raja Bala
  

Boltz-1 Training Data

Publications

• Boltz-1: Democratizing Biomolecular Interaction Modeling by J Wohlwend, G Corso, S Passaro, M Reveiz, K Leidal, W Swiderski, T Portnoi, I Chinn, J Silterra, T Jaakkola, R Barzilay