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
  

Fly Brain Anatomy: FlyLight Gen1 and Split-GAL4 Imagery

Tutorials

• File Operations on AWS S3 by Rob Svirskas
  
• Scaling Neuroscience Research on AWS by Konrad Rokicki
  AWS LambdaAWS AppSyncAmazon DynamoDBAWS Step Functions
• Tutorial for neuronbridger (R API) by Alexander Bates
  
• Using Imagery on AWS S3 by Rob Svirskas
  

Tools & Applications

• Color Depth Search Fiji Plugin by Hideo Otsuna
  
• Fly Light Split-GAL4 Driver Collection by Rob Svirskas
  
• FlyLight Project Website by Geoffrey Meissner
  
• NeuronBridge by Jody Clements, Rob Svirskas, Hideo Otsuna, Cristian Goina, Konrad Rokicki
  

Publications

• A GAL4-Driver Line Resource for Drosophila Neurobiology by Arnim Jenett, Gerald M Rubin, Teri-TB Ngo, David Shepherd, Christine Murphy, Heather Dionne, Barret D Pfeiffer, Amanda Cavallaro, Donald Hall, Jennifer Jeter, Nirmala Iyer, Dona Fetter, Joanna H Hausenfluck, Hanchuan Peng, Eric T Trautman, Robert R Svirskas, Eugene W Myers, Zbigniew R Iwinski, Yoshinori Aso, Gina M DePasquale, Adrianne Enos, Phuson Hulamm, Shing Chun Benny Lam, Hsing-Hsi Li, Todd R Laverty, Fuhui Long, Lei Qu, Sean D Murphy, Konrad Rokicki, Todd Safford, Kshiti Shaw, Julie H Simpson, Allison Sowell, Susana Tae, Yang Yu, Christopher T Zugates
  
• An image resource of subdivided Drosophila GAL4-driver expression patterns for neuron-level searches by Geoffrey W Meissner, Zachary Dorman, Aljoscha Nern, Kaitlyn Forster, Theresa Gibney, Jennifer Jeter, Lauren Johnson, Yisheng He, Kelley Lee, Brian Melton, Brianna Yarbrough, Jody Clements, Cristian Goina, Hideo Otsuna, Konrad Rokicki, Robert R Svirskas, Yoshinori Aso, Gwyneth M Card, Barry J Dickson, Erica Ehrhardt, Jens Goldammer, Masayoshi Ito, Wyatt Korff, Ryo Minegishi, Shigehiro Namiki, Gerald M Rubin, Gabriella Sterne, Tanya Wolff, Oz Malkesman, FlyLight Project Team
  
• An unbiased template of the Drosophila brain and ventral nerve cord by John A Bogovic, Hideo Otsuna, Larissa Heinrich, Masayoshi Ito, Jennifer Jeter, Geoffrey Meissner, Aljoscha Nern, Jennifer Colonell, Oz Malkesman, Kei Ito, Stephan Saalfeld
  
• Color depth MIP mask search: a new tool to expedite Split-GAL4 creation by Hideo Otsuna, Masayoshi Ito, Takashi Kawase
  
• The neuronal architecture of the mushroom body provides a logic for associative learning by Yoshinori Aso, Daisuke Hattori, Yang Yu, Rebecca M Johnston, Nirmala A Iyer, Teri-TB Ngo, Heather Dionne, LF Abbott, Richard Axel, Hiromu Tanimoto, Gerald M Rubin
  

International Neuroimaging Data-Sharing Initiative (INDI)

Tutorials

• Downloading FCP-INDI Neuroimaging Data from Amazon S3 by INDI
  

Tools & Applications

• Configurable Pipeline for the Analysis of Connectomes (C-PAC) by [INDI C-PAC Team](https://fcp-indi.github.io/)
  

Publications

• Accelerating the Evolution of Nonhuman Primate Neuroimaging by M.P. Milham, C. Petkov
  
• An Open Resource for Non-human Primate Imaging by M.P. Milham, L. Ai, ..., C.E. Schroeder
  
• An open resource for transdiagnostic research in pediatric mental health and learning disorders by L.M. Alexander, J. Escalera, ..., M.P. Milham
  
• Assessment of the impact of shared brain imaging data on the scientific literature by M.P. Milham, R.C. Craddock, ..., A. Klein
  
• Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. by A. Di Martino, D. O'Connor, M.P. Milham
  
• Making data sharing work: The FCP/INDI experience by M. Mennes, B.B. Biswal, F.X. Castellanos, M.P. Milham
  
• The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. by A. Di Martino, C-G Yan, ..., M.P. Milham
  
• The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions by D. O'Connor, N.V. Potler, ..., M.P. Milham
  
• The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry by K.B. Nooner, S.J. Colcombe, ..., M.P. Milham
  

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
  

CBERS on AWS

Tutorials

• Keeping a SpatioTemporal Asset Catalog (STAC) Up To Date with SNS/SQS by Frederico Liporace
  Amazon SNSAWS LambdaAmazon DynamoDB

Tools & Applications

• aws-sat-api-py by Remote Pixel
  
• CBERS static STAC catalog served by stac-browser by Radiant Earth
  
• CBERS timelapse GIF generator by Frederico Liporace
  
• cbers-tiler by Mapbox
  
• EOS Land Viewer by Earth Observing System
  
• Forest Monitor by Brazil Datacube, INPE
  
• rio-tiler by Mapbox
  
• STAC V1.0.0 endpoint by Scitekno
  

Publications

• Using Remote Sensing Images and Cloud Services on AWS to Improve Land Use and Cover Monitoring by K. R. Ferreira, et al.
  

BossDB Open Neuroimagery Datasets

Tutorials

• Data access and download by Jordan Matelsky
  

Tools & Applications

• bossDB by bossDB Team
  
• CloudVolume by Seung Lab
  

Publications

• A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data by J. T. Vogelstein, E. Perlman, B. Falk, A. Baden, W. Gray Roncal, V. Chandrashekhar, F. Collman, S. Seshamani, J. L. Patsolic, K. Lillaney, M. Kazhdan, R. Hider, D. Pryor, J. Matelsky, T. Gion, P. Manavalan, B. Wester, M. Chevillet, E. T. Trautman, K. Khairy, E. Bridgeford, D. M. Kleissas, D. J. Tward, A. K. Crow, B. Hsueh, M. A. Wright, M. I. Miller, S. J. Smith, R. J. Vogelstein, K. Deisseroth, and R. Burns
  
• intern: Integrated Toolkit for Extensible and Reproducible Neuroscience by Jordan K Matelsky, Luis Rodriguez, Daniel Xenes, Timothy Gion, Robert Hider Jr., Brock Wester, William Gray-Roncal
  
• The Block Object Storage Service (bossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery by Robert Hider Jr., Dean M. Kleissas, Derek Pryor, Timothy Gion, Luis Rodriguez, Jordan Matelsky, William Gray-Roncal, Brock Wester
  

NYU Langone & FAIR FastMRI Dataset

Tutorials

• FastMRI Tutorial (Jupyter Notebook) by Tullie Murrell
  
• How to Get Started Working with the FastMRI Dataset (and why you should!) by Kevin Hodges
  

Publications

• Advancing machine learning for MR image reconstruction with an open competition:Overview of the 2019 fastMRI challenge by Knoll et al (2020)
  
• Assessment of the generalization of learned image reconstruction and the potential for transfer learning. by Knoll et al (2019)
  
• Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction by Knoll et al (2019)
  
• fastMRI:An Open Dataset and Benchmarks for Accelerated MRI by Zbontar et al (2019)
  

Amazonia EO satellite on AWS

Tutorials

• Keeping a SpatioTemporal Asset Catalog (STAC) Up To Date with SNS/SQS by Frederico Liporace
  Amazon SNSAWS LambdaAmazon DynamoDB
• The Evolution of ASDI's Data Infrastructure by Sean Harkins
  Amazon SNSAWS LambdaAmazon ECRAmazon S3Amazon Athena

Tools & Applications

• Amazonia 1 stactools package by Frederico Liporace
  
• Amazonia 1 stactools-pipeline by Frederico Liporace
  
• STAC V1.0.0 endpoint by Frederico Liporace
  

Automated Segmentation of Intracellular Substructures in Electron Microscopy (ASEM) on AWS

Tutorials

• Data layout and how to view by kirchhausenlab
  
• How to use models by kirchhausenlab
  

Tools & Applications

• ASEM Colab Notebook (Interactive Demo) by Patrick Stock
  
• TK Lab Data Explorer by Patrick Stock
  

Publications

• Deep neural network automated segmentation of cellular structures in volume electron microscopy by Benjamin Gallusser, Giorgio Maltese, Giuseppe Di Caprio, Tegy John Vadakkan, Anwesha Sanyal, Elliott Somerville, Mihir Sahasrabudhe, Justin O’Connor, Martin Weigert, Tom Kirchhausen
  

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
  

The Human Connectome Project

Tutorials

• Exploring the Human Connectom by The Human Connectome Project
  

Tools & Applications

• The Human Connectome Workbench by The Human Connectome Project
  

Publications

• The Human Connectome Project: A retrospective by Elam JS, Glasser MF, Harms MP, Sotiropoulos SN, Andersson JL, Burgess GC, Curtiss SW, et al.
  
• The minimal preprocessing pipelines for the Human Connectome Project by Glasser MF, Sotiropoulos SN, Wilson JA, Coalson TS, Fischl B, Andersson JL, Xu J, Jbabdi S, et al.
  
• The WU-Minn Human Connectome Project: an overview. by Van Essen DC, Smith SM, Barch DM, Behrens TEJ, Yacoub E, Ugurbil, K, and the WU-Minn HCP Consortium.
  

Mouse Brain Anatomy: MouseLight Imagery

Tools & Applications

• HortaCloud by David Schauder, Donald J. Olbris, Jody Clements, Cristian Goina, Robert R. Svirskas, Konrad Rokicki
  
• MouseLight NeuronBrowser by Tiago A. Ferreira, Jayaram Chandrashekar
  
• MouseLight Project Website by Tiago A. Ferreira, Jayaram Chandrashekar
  

Publications

• Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain by Johan Winnubst, Erhan Bas, Tiago A. Ferreira, Zhuhao Wu, Michael N. Economo, Patrick Edson, Ben J. Arthur, Christopher Bruns, Konrad Rokicki, David Schauder, Donald J. Olbris, Sean D. Murphy, David G. Ackerman, Cameron Arshadi, Perry Baldwin, Regina Blake, Ahmad Elsayed, Mashtura Hasan, Daniel Ramirez, Bruno Dos Santos, Monet Weldon, Amina Zafar, Joshua T. Dudman, Charles R. Gerfen, Adam W. Hantman, Wyatt Korff, Scott M. Sternson, Nelson Spruston, Karel Svoboda, Jayaram Chandrashekar
  

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
  

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.
  

Allen Mouse Brain Atlas

Tutorials

• Accessing Allen Mouse Brain Atlas data by Allen Institute for Brain Science
  

Tools & Applications

• Allen Mouse Brain Atlas by Allen Institute for Brain Science
  

Publications

• Genome-wide atlas of gene expression in the adult mouse brain by Ed Lein, et al.
  

CZ Grand Challenges - Imaging MIT Licensed data and models

Tutorials

• Documentation for CELL-Diff by CZI
  
• Documentation for SubCell by CZI
  
• Quickstart Tutorial for CELL-Diff by CZI
  
• Quickstart Tutorial for SubCell by CZI
  

Publications

• CELL-Diff: Unified diffusion modeling for protein sequences and microscopy images by Zheng Dihan, Bo Huang
  
• SubCell: Vision foundation models for microscopy capture single-cell biology by Ankit Gupta, Zoe Wefers, Konstantin Kahnert, Jan N Hansen, William D. Leineweber, Anthony Cesnik, Dan Lu, Ulrika Axelsson, Frederic Ballllosera Navarro, Theofanis Karaletsos, Emma Lundberg
  

Cell Organelle Segmentation in Electron Microscopy (COSEM) on AWS

Publications

• Correlative three-dimensional super-resolution and block-face electron microscopy of whole vitreously frozen cells. by David P. Hoffman, Gleb Shtengel, C. Shan Xu, Kirby R. Campbell, Melanie Freeman, Lei Wang, Daniel E. Milkie, H. Amalia Pasolli, Nirmala Iyer, John A. Bogovic, Daniel R. Stabley, Abbas Shirinifard, Song Pang, David Peale, Kathy Schaefer, Wim Pomp, Chi-Lun Chang, Jennifer Lippincott-Schwartz, Tom Kirchhausen1, David J. Solecki, Eric Betzig, Harald F. Hess
  
• Enhanced FIB-SEM systems for large-volume 3D imaging by C. Shan Xu, Kenneth J. Hayworth, Zhiyuan Lu, Patricia Grob, Ahmed M. Hassan, José G. García-Cerdán, Krishna K. Niyogi, Eva Nogales, Richard J. Weinberg, Harald F. Hess.
  
• Whole-cell organelle segmentation in volume electron microscopy by Lisa Heinrich, Davis Bennett, David Ackerman, Woohyun Park, Jon Bogovic, Nils Eckstein, et al.
  

Indiana Statewide Digital Aerial Imagery Catalog

Tools & Applications

• ArcGIS Online Indiana Orthoimagery Viewer by Indiana Geographic Information Office (IGIO)
  
• IGIO Imagery Opendata S3 Browser by Indiana Geographic Information Office (IGIO)
  

Publications

• Recording of 2025 - 2028 Indiana Orthoimagery Program Presentation by Indiana Geographic Information Office (IGIO)
  

Indiana Statewide Elevation Catalog

Tools & Applications

• ArcGIS Online Indiana Lidar Viewer by Indiana Geographic Information Office (IGIO)
  
• IGIO Elevation Opendata S3 Browser by Indiana Geographic Information Office (IGIO)
  

Publications

• Recording of 2025 - 2028 Indiana Imagery and Elevation Program Presentation by Indiana Geographic Information Office (IGIO)
  

Medical Segmentation Decathlon

Tutorials

• Pytorch-Integrated MSD Data Loader by MONAI Development Team
  

Tools & Applications

• MONAI: Getting Started by MONAI Development Team
  

Publications

• A large annotated medical image dataset for the development and evaluation of segmentation algorithms by Simpson A. L., Antonelli M., Bakas S., Bilello M., Farahana K., van Ginneken B., et al
  

NASA High Energy Astrophysics Mission Data

Tutorials

• HEASARC Cloud access page by NASA/HEASARC
  

Tools & Applications

• HEASoft by NASA/HEASARC
  

Publications

• HEASARC Bibliography by Various; curated by HEASARC
  

NASA Legacy Archive for Microwave Background Data Analysis (LAMBDA)

Tutorials

• LAMBDA cloud access by NASA/LAMBDA
  

Tools & Applications

• LAMBDA Tools by NASA/LAMBDA
  

Publications

• CMB Experiment Bibliography by Various; curated by LAMBDA
  

NASA Space Biology Open Science Data Repository (OSDR)

Publications

• Advancing the Integration of Biosciences Data Sharing to Further Enable Space Exploration by Ryan T. Scott, Kirill Grigorev, Graham Mackintosh, Samrawit G. Gebre, Christopher E. Mason, Martha E. Del Alto, Sylvain V. Costes
  
• GeneLab: Omics database for spaceflight experiments by Shayoni Ray, Samrawit Gebre, Homer Fogle, Daniel C Berrios, Peter B Tran, Jonathan M Galazka, Sylvain V Costes
  
• NASA GeneLab: interfaces for the exploration of space omics data by Daniel C Berrios, Jonathan Galazka, Kirill Grigorev, Samrawit Gebre, Sylvain V Costes
  

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.
  

STOIC2021 Training

Tools & Applications

• STOIC2021 Challenge by Diagnostic Image Analysis Group, Radboudumc, Nijmegen
  

Publications

• How Well Do Self-Supervised Models Transfer to Medical Imaging? by Anton J, Castelli L, Chan MF, Outthers M, Tang WH, Cheung V, et al.
  
• Study of Thoracic CT in COVID-19: The STOIC Project by Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, Lapotre T, Mompoint D, et al.
  

State of Colorado Imagery

Tutorials

• Colorado AWS Open Imagery Guide by State of Colorado OIT-GIS
  

Tools & Applications

• Colorado Public Imagery Dowloader by State of Colorado OIT-GIS
  
• Colorado Public Imagery s3 Browser by State of Colorado OIT-GIS
  

4D Nucleome (4DN)

Tutorials

• Finding and Downloading 4DN Data files by 4DN-DCIC
  
• Using jupyterhub on the 4DN data portal by 4DN-DCIC
  

Brain/MINDS Marmoset Connectivity Resource on AWS

Tutorials

• Explorer Tutorials by Henrik Skibbe
  

Tools & Applications

• BMCR website by Henrik Skibbe
  
• Marmoset PFC connectome by Akiya Watakabe, Henrik Skibbe and Tetsuo Yamamori
  

Publications

• Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. by Watakabe A, Skibbe H, Nakae K, Abe H, Ichinohe N, Rachmadi MF, Wang J, Takaji M, Mizukami H, Woodward A, Gong R, Hata J, Van Essen DC, Okano H, Ishii S, Yamamori T.
  
• The Brain/MINDS Marmoset Connectivity Resource - An open-access platform for cellular-level tracing and tractography in the primate brain by H. Skibbe, M.F. Rachmadi, K. Nakae, C. E. Gutierrez, J. Hata, H. Tsukada, C. Poon, K. Doya, P. Majka, M. G. P. Rosa, M. Schlachter, H. Okano, T. Yamamori, S. Ishii, M. Reisert, A. Watakabe.
  

Cell Painting Image Collection

Tools & Applications

• Accelerating Drug Discovery with high-throughput Cell Painting on AWS by Chris Kaspar
  

Publications

• Example submission for the 2018 CytoData Hackathon (in R and Python) by Juan Caicedo, Tim Becker
  

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
  

EMory BrEast Imaging Dataset (EMBED)

Tutorials

• Sample Notebook by Emory-HITI
  

Publications

• The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4M Screening and Diagnostic Mammograms by Jiwoong J. Jeong, Brianna L. Vey, Ananth Reddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi
  

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.
  

3-Band Cryo Data | Wide-field Infrared Survey Explorer (WISE)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

All-Sky Data | Wide-field Infrared Survey Explorer (WISE)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

AllWISE Data | Wide-field Infrared Survey Explorer (WISE)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

Allen Brain Observatory - Visual Coding AWS Public Data Set

Tutorials

• Use the Allen Brain Observatory – Visual Coding on AWS by Nika Keller, David Feng
  

Allen Institute for Neural Dynamics - Mouse Neuroanatomy and Physiology Data

Tutorials

• AIND Open Data Access by David Feng, Saskia de Vries
  

LOFAR ELAIS-N1 cycle 2 observations on AWS

Publications

• Calibration of LOFAR ELAIS-N1 data in the Amazon cloud by J. Sabater
  

NEOWISE Post-Cryo Data | Wide-field Infrared Survey Explorer (WISE)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

NEOWISE Reactivation Data | Near-Earth Object Wide-field Infrared Survey Explorer (NEOWISE)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

NYUMets Brain Dataset

Publications

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

New Jersey Statewide Digital Aerial Imagery Catalog

Tutorials

• Visualize Imagery Changes by stephanie.bosits@tech.nj.gov
  

Ohio State Cardiac MRI Raw Data (OCMR)

Tutorials

• OCMR Tutorial by Chong Chen
  

OpenUniverse 2024 Simulated Roman & Rubin Images

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

Seattle Alzheimer's Disease Brain Cell Atlas (SEA-AD)

Tools & Applications

• Seattle Alzheimer’s Disease Brain Cell Atlas by Lein, E et al.
  

Spitzer Enhanced Imaging Products (SEIP) Super Mosaics

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA
  

Synthea Coherent Data Set

Publications

• The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive Synthetic Health Record. by Walonoski J, Hall D, Bates KM, Farris MH, Dagher J, Downs ME, Sivek RT, Wellner B, Gregorowicz A, Hadley M, Campion FX, Levine L, Wacome K, Emmer G, Kemmer A, Malik M, Hughes J, Granger E, Russell S.
  

Xiph.Org Test Media

Tutorials

• Encoding video with AV1 on EC2 by Thomas Daede
  

CZ Grand Challenges - Imaging BSD licensed data and models

Tutorials

• Documentation for Cytoland by CZI
  
• Quickstart Tutorial for Cytoland by CZI
  

Publications

• Cytoland: robust virtual staining of landmark organelles by Liu, Hirata-Miyasaki, et al.
  

Euclid Quick Release 1 (Q1)

Tutorials

• Notebook Tutorials by Caltech/IPAC-IRSA