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.
  

Common Crawl

Tutorials

• Analysing Petabytes of Websites by Mark Litwintschik
  Amazon EMR
• Common Crawl Index Athena by Edward Ross
  Amazon Athena
• Index to WARC Files and URLs in Columnar Format by Sebastian Nagel
  Amazon Athena
• Large-scale graph mining with Spark by Win Suen
  
• One click to download all the web pages you may want by Jader Dias
  Amazon AthenaAWS Lambda
• Search the Common Crawl Using Lambda Functions by Andres Riancho
  AWS Lambda

Tools & Applications

• All Around The World: The Common Crawl Dataset - Attack Surface Research by Aliz Hammond
  
• CCNet: Extracting high quality monolingual datasets from web crawl data by Facebook AI Research
  
• Dresden Web Table Corpus (DWTC) by Database Systems Group Dresden
  
• Glove: Global vectors for word representation by Jeffrey Pennington, Richard Socher, Christopher D. Manning
  
• Learning word vectors for 157 languages by Facebook AI Research
  
• Ransacking your password reset tokens by Lukas Euler
  
• Search the html across 25 billion websites for passive reconnaissance using common crawl by Ryan Elkins
  

Publications

• Asynchronous pipeline for processing huge corpora on medium to low resource infrastructures by Pedro Javier Ortiz Suárez, Benoît Sagot, Laurent Romary
  
• Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl by Alexander Panchenko, Eugen Ruppert, Stefano Faralli, Simone Paolo Ponzetto, Chris Biemann
  
• C4Corpus: Multilingual Web-Size Corpus with Free License by Ivan Habernal, Omnia Zayed, Iryna Gurevych
  
• CC-News-En: A large English news corpus by Joel Mackenzie, Rodger Benham, Matthias Petri, Johanne R. Trippas, J. Shane Culpepper, Alistair Moffat
  
• CCAligned: A Massive collection of cross-lingual web-document pairs by Ahmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, Philipp Koehn
  
• Coyo-700m: Image-text pair dataset by Minwoo Byeon, Beomhee Park, Haecheon Kim, Sungjun Lee, Woonhyuk Baek, Saehoon Kim
  
• Defending against neural fake news by Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, et al
  
• Index fun by Philippe Suter
  
• LAION-5B: An open large-scale dataset for training next generation image-text models by Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, et al
  
• Language is not all you need: aligning perception with language models by Shaohan Huang, Li Dong, Wenhui Wang, Yaru Hao, Saksham Singhal, Shuming Ma, et al
  
• Language models are few-shot learners by Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, et al
  
• Large-scale analysis of style injection by relative path overwrite by Sajjad Arshad, Seyed Ali Mirheidari, Tobias Lauinger, Bruno Crispo, Engin Kirda, William Robertson
  
• LLaMA: open and efficient foundation language models by Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, et al
  
• Mapping languages: The Corpus of Global Language Use by Jonathan Dunn
  
• mT5: A massively multilingual pre-trained text-to-text transformer by Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, et al
  
• Multimodal C4: an open, billion-scale corpus of images interleaved with text by Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, et al
  
• N-gram counts and language models from the Common Crawl by Christian Buck, Kenneth Heafield, Bas van Ooyen
  
• No Language Left Behind: scaling human-centered machine translation by Costa-jussà, Marta R., James Cross, Onur Çelebi, Maha Elbayad, Kenneth Heafield, Kevin Heffernan, et al
  
• Of using Common Crawl to play Family Feud by Paul Masurel
  
• On the impact of publicly available news and information transfer to financial markets by Metod Jazbec, Barna Pásztor, Felix Faltings, Nino Antulov-Fantulin, Petter N. Kolm
  
• Using open data to predict market movements by DELL EMC
  
• Web Data Commons - RDFa, microdata, and microformat data sets by Christian Bizer, Robert Meusel, Anna Primpeli
  

The Cancer Genome Atlas

Tools & Applications

• Broad Institute FireCloud by The Broad Institute of MIT & Harvard
  
• Cancer Genomics Cloud by Seven Bridges
  
• GDC Legacy Archive by National Cancer Institute
  
• Genomic Data Commons by National Cancer Institute
  
• ISB Cancer Genomics Cloud by Institute for Systems Biology
  
• TCGA Cancers Selected for Study by National Cancer Institute
  
• Using TCGA Data, Resources, and Materials by National Cancer Institute
  

Publications

• "Before and After: A Comparison of Legacy and Harmonized TCGA Data at the Genomic Data Commons" by Galen F. Gao, Joel S. Parker, et al.
  
• A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples by Han Chen, Chunyan Li, et al.
  
• An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics by Jianfang Liu, Tara Lichtenberg, et al.
  
• Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer by Katherine A. Hoadley, Christina Yau, et al.
  
• Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas by Yang Liu, Nilay S. Sethi, et al.
  
• Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients by André Kahles, Kjong-Van Lehmann, et al.
  
• Comprehensive Characterization of Cancer Driver Genes and Mutations by Matthew H. Bailey, Collin Tokheim, et al.
  
• Genomic and Functional Approaches to Understanding Cancer Aneuploidy by Alison M. Taylor, Juliann Shih, et al.
  
• Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas by Theo A. Knijnenburg, Linghua Wang, et al.
  
• Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas by Joshua D. Campbell, Christina Yau, et al.
  
• Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types by Zhongqi Ge, Jake S. Leighton, et al.
  
• Machine Learning Detects Pan-Cancer Ras Pathway Activation in The Cancer Genome Atlas by Gregory P. Way, Francisco Sanchez-Vega, et al.
  
• Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation by Tathiane M. Malta, Artem Sokolov, et al.
  
• Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers by Xinxin Peng, Zhongyuan Chen, et al.
  
• Oncogenic Signaling Pathways in The Cancer Genome Atlas by Francisco Sanchez-Vega, Marco Mina, et al.
  
• Pan-Cancer Alterations of the MYC Oncogene and its Proximal Network Across The Cancer Genome Atlas by Franz X. Schaub, Varsha Dhankani, et al.
  
• Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context by Hua-Sheng Chiu, Sonal Somvanshi, et al.
  
• Pathogenic Germline Variants in 10,389 Adult Cancers by Kuan-lin Huang, R. Jay Mashl, et al.
  
• Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines by Kyle Ellrott, Matthew H. Bailey, et al.
  
• Spatial Organization And Molecular Correlation Of Tumor-Infiltrating Lymphocytes Using Deep Learning On Pathology Images by Joel Saltz, Rajarsi Gupta, et al.
  
• The chromatin accessibility landscape of primary human cancers by M. Ryan Corces, Jeffrey M. Granja, et al.
  
• The Immune Landscape of Cancer by Vésteinn Thorsson, David L. Gibbs, et al.
  

Foldingathome COVID-19 Datasets

Tutorials

• Folding@home COVID-19 efforts by Folding@home Consortium
  

Tools & Applications

• SARS-CoV-2 spike RBD with N501Y mutation bound to human ACE2 (953.7 µs) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 COVID Moonshot absolute free energy calculations by The Voelz lab at Temple University
  
• SARS-CoV-2 main viral protease (Mpro, 3CLPro, nsp5) dimer simulations: A 2.9 ms dataset of the SARS-CoV-2 main viral protease (apo, dimer) in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 main viral protease (Mpro, 3CLPro, nsp5) monomer simulations: A 2.6 ms equilibrium dataset of the SARS-CoV-2 main viral protease (apo, monomer) by The Chodera lab at MSKCC
  
• SARS-CoV-2 main viral protease (Mpro, 3CLPro, nsp5) monomer simulations: A 6.4 ms dataset of the SARS-CoV-2 main viral protease (apo, monomer) in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp10 dataset: A 6.1 ms dataset of the SARS-CoV-2 nsp10 protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp3 macrodomain dataset: An 11 ms dataset of the SARS-CoV-2 nsp3 macrodomain in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp3 pl2pro domain dataset: An 731 µs dataset of the SARS-CoV-2 nsp3 pl2pro domain in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp7 simulations: A 3.7 ms dataset of the SARS-CoV-2 nsp7 protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp8 simulations: A 1.8 ms dataset of the SARS-CoV-2 nsp8 protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 nsp9 simulations: A 9 ms dataset of the SARS-CoV-2 nsp9 protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 RNA polymerase (nsp12, RdRP) dataset: A 3.4 ms dataset of the SARS-CoV-2 nsp12 protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 spike protein dataset: A 1.2 ms dataset of the SARS-CoV-2 spike protein in search of cryptic pockets by The Bowman lab at Washington University in St. Louis
  
• SARS-CoV-2 spike RBD (with glycosylation) (1.8 ms) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD (without glycosylation) (1.9 ms) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD bound to human ACE2 receptor (173.8 us): Wild-type and mutant simulations by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD bound to monoclonal antibody S2H97 (623.7 us) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD bound to monoclonal antibody S309 (1.1 ms) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD with P337A mutation bound to monoclonal antibody S309 (907.0 µs) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  
• SARS-CoV-2 spike RBD with P337L mutation bound to monoclonal antibody S309 (923.2 µs) by The Chodera lab at the Memorial Sloan Kettering Cancer Center
  

Publications

• Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity by Emma C. Thomson, Laura E, Rosen, James G. Shepherd, et al.
  
• SARS-CoV-2 RBD antibodies that maximize breadth and resistance to escape by Tyler N. Starr, Nadine Czudnochowski, Zhuoming Liu, et al.
  
• SARS-CoV-2 Simulations Go Exascale to Capture Spike Opening and Reveal Cryptic Pockets Across the Proteome by Maxwell I. Zimmerman, Justin R. Porter, Michael D. Ward, Sukrit Singh, Neha Vithani, Artur Meller, Upasana L. Mallimadugula, Catherine E. Kuhn, Jonathan H. Borowsky, View ORCID ProfileRafal P. Wiewiora, Matthew F. D. Hurley, Aoife M Harbison, Carl A Fogarty, Joseph E. Coffland, Elisa Fadda, Vincent A. Voelz, John D. Chodera, Gregory R. Bowman
  

Therapeutically Applicable Research to Generate Effective Treatments (TARGET)

Tools & Applications

• Broad Institute FireCloud by The Broad Institute of MIT & Harvard
  
• Cancer Genomics Cloud by Seven Bridges
  
• GDC Legacy Archive by National Cancer Institute
  
• Genomic Data Commons by National Cancer Institute
  
• ISB Cancer Genomics Cloud by Institute for Systems Biology
  
• TARGET data matrix by National Cancer Institute
  

Publications

• A Children's Oncology Group and TARGET initiative exploring the genetic landscape of Wilms tumor by Gadd S, Huff V, Walz AL, et al.
  
• Ancestry and pharmacogenomics of relapse in acute lymphoblastic leukemia by Yang JJ, Cheng C, Devidas M, et al.
  
• Biomarker significance of plasma and tumor miR-21, miR-221, and miR-106a in osteosarcoma by Nakka M, Allen-Rhoades W, Li Y, et al.
  
• CSF3R mutations have a high degree of overlap with CEBPA mutations in pediatric AM by Maxson JE, Ries RE, Wang YC, et al.
  
• Genetic predisposition to neuroblastoma mediated by a LMO1 super-enhancer polymorphism by Oldridge DA, Wood AC, Weichert-Leahey N, Crimmins I, Sussman R, Winter C, McDaniel LD, Diamond M, Hart LS, Zhu S, Durbin AD, Abraham BJ, et al.
  
• Genome-Wide Profiles of Extra-cranial Malignant Rhabdoid Tumors Reveal Heterogeneity and Dysregulated Developmental Pathways by Chun HJ, Lim EL, Heravi-Moussavi A, et al.
  
• Genomic classification and identification of the cell of origin of pediatric mixed phenotype acute leukemia by Thomas B. Alexander, Zhaohui Gu, Ilaria Iacobucci, et al.
  
• Genomics in childhood acute myeloid leukemia comes of age by Brunner AM, Graubert TA.
  
• Identification and analyses of extra-cranial and cranial rhabdoid tumor molecular subgroups reveal tumors with cytotoxic T cell infiltration by Hye-Jung E. Chun, Pascal D. Johann, Katy Milne et al.
  
• MicroRNA Expression-Based Model Indicates Event-Free Survival in Pediatric Acute Myeloid Leukemia by Lim EL, Trinh DL, Ries RE, et al.
  
• MLLT1 YEATS domain mutations in clinically distinctive Favourable Histology Wilms tumours by Perlman EJ, Gadd S, Arold ST, et al.
  
• Recurrent DGCR8, DROSHA, and SIX homeodomain mutations in favorable histology Wilms tumors by Walz AL, Ooms A, Gadd S, et al.
  
• Relapsed neuroblastomas show frequent RAS-MAPK pathway mutations by Eleveld TF, Oldridge DA, Bernard V, Koster J, et al.
  
• Significance of TP53 Mutation in Wilms Tumors with Diffuse Anaplasia: A Report from the Children's Oncology Group by Ooms AH, Gadd S, Gerhard DS, et al.
  
• TCF21 hypermethylation in genetically quiescent clear cell sarcoma of the kidney by Gooskens SL, Gadd S, Guidry Auvil JM, et al.
  
• The genetic landscape of high-risk neuroblastoma by Pugh TJ, Morozova O, Attiyeh EF, Asgharzadeh S, Wei JS, Auclair D, Carter SL, Cibulskis K, Hanna M, Kiezun A, Kim J, Lawrence MS, Lichenstein L, et al.
  
• The genomic landscape of pediatric and young adult T-lineage acute lymphoblastic leukemia by Yu Liu, John Easton, Ying Shao, et al.
  
• The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions by Bolouri H, Farrar JE, Triche T Jr, et al.
  

Sentinel-2

Tutorials

• Detecting deforestation using unsupervised K-means clustering on Sentinel-2 satellite imagery and SageMaker Studio Lab (SMSL) by Parth Patel
  
  Amazon SageMaker Studio Lab
• Exploring the Chile wildfires with Landsat and Sentinel-2 imagery by Timothy Whitehead
  
• Getting Started With Geospatial Data Analysis by Sam Palani
  
  Amazon SageMaker Studio Lab
• How to Work with Landsat and Sentinel-2 on AWS with Python by Martin D. Maas
  
• Integrate imagery from the Sentinel-2 archive into your own apps, maps, and analysis with the Sentinel-2 image service by Esri
  
• Learning Custom Scripts to Make Useful and Beautiful Satellite Images by Monja Šebela
  
• TCS Digital Farming Generates Near Real-Time Insights on Crop Conditions for Actionable Decision Making by Dr. Suryakant Sawant, Mahesh Sarode, Rajoy Jose, and Kiran Killedar
  Amazon SageMakerAWS Lambda
• Tutorial for using Sentinel-2 data by Antti Lipponen
  
• Vegetation Analysis Pre/Post Lava Fire Using SentinelHub and Sentinel-2 Imagery on AWS by Mike Jeffe
  
  Amazon SageMaker Studio Lab

Tools & Applications

• EO Browser by Sinergise
  
• EOS Land Viewer by Earth Observing System
  
• FME Landsat-8/Sentinel-2 File Selector by Safe Software
  
• Interactive map with AI detected fields and crops based on Sentinel-2 imagery by OneSoil
  
• Python package for working with Sentinel-2 AWS data by Sinergise
  
• QGIS plugin for Sentinel-2 data by Sinergise
  
• Sentinel Hub WMS/WMTS/WCS Service by Sinergise
  
• Sentinel Playground by Sinergise
  
• Sentinel-2 Cloudless Atlas by EOX
  
• Spectator - tracking Sentinel 2, accessing the data and quick preview by Spectator
  
• Sterling Geo Using Sentinel-2 on Amazon Web Services to Create NDVI by Sterling Geo
  
• Use the Sentinel Explorer app to explore, visualize, and analyze the entire Sentinel-2 archive by Esri
  

Publications

• Coral-spawn slicks: Reflectance spectra and detection using optical satellite data by Hiroya Yamano, Asahi Sakuma, Saki Harii
  
• Using Remote Sensing Images and Cloud Services on AWS to Improve Land Use and Cover Monitoring by K. R. Ferreira, et al.
  

USGS Landsat

Tutorials

• A Gentle Introduction to GDAL Part 4: Working with Satellite Data by Planet
  
• Cloud Segmentation in Landsat-8 Images by Ingrid Grenet
  
• Creating a STAC of Landsat data by PySTAC Contributors
  
• Exploring the Chile wildfires with Landsat and Sentinel-2 imagery by Timothy Whitehead
  
• How to Work with Landsat and Sentinel-2 on AWS with Python by Martin D. Maas
  
• Integrate imagery from the full Landsat archive into your own apps, maps, and analysis with Landsat image services by Esri
  
• Landsat Cloud Direct Access Requester Pays Tutorial by USGS
  
• Landsat Data is Moving to the Cloud by USGS
  
• Landsat in the Cloud – Supporting Current Workflows by USGS
  
• Using Cloud-Optimized GeoTIFF by acgeospatial
  

Tools & Applications

• Aggi: the fire detecting Twitter bot by Aggi
  
• Apps for exploring and analyzing Landsat imagery on the fly by Esri
  
• COG-Explorer - View Cloud Optimized GeoTIFF images in the browser directly from object storage by EOX
  
• Development Seed Geolambda by Matthew Hanson
  
• Dynamic map tiling with Cloud-Optimized GeoTIFFs by Kyle Barron
  
• EO Browser by Sinergise
  
• EOS Land Viewer by Earth Observing System
  
• FME Landsat-8 on AWS Reader by Safe Software
  
• FME Landsat-8/Sentinel-2 File Selector by Safe Software
  
• Sentinel Hub WMS/WMTS/WCS Service for Landsat by Sinergise
  
• Sentinel Playground for Landsat by Sinergise
  
• Spectator - tracking Landsat 8, accessing the data and quick preview by Spectator
  

Publications

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

Sudachi Language Resources

Tutorials

• analysis-sudachi Tutorial by Works Applications
  
• chiTra Tutorial by Works Applications
  
• chiVe Tutorial by Works Applications
  
• Sudachi Tutorial by Works Applications
  
• SudachiPy Tutorial by Works Applications
  

Tools & Applications

• analysis-sudachi: Sudachi pluglin for Elasticsearch by Works Applications
  
• chiTra: SudachiPy for hugging face Transformers by Works Applications
  
• jdartsclone: TRIE Data Structure using Double-Array by Works Applications
  
• Kintoki: Dependency Parser by Works Applications
  
• Sudachi: Japanese Tokenizer for Business by Works Applications
  
• sudachidict_core on pypi.python.org - a Python module to download and install SudachiDict for the python tokenizer by Works Applications
  
• sudachidict_full on pypi.python.org - a Python module to download and install SudachiDict for the python tokenizer by Works Applications
  
• sudachidict_small on pypi.python.org - a Python module to download and install SudachiDict for the python tokenizer by Works Applications
  
• SudachiPy: Python version of Sudachi by Works Applications
  

Publications

• chiVe 2.0: SudachiとNWJCを用いた実用的な日本語単語ベクトルの実現に向けて by 河村宗一郎, 久本空海, 真鍋陽俊, 髙岡一馬, 内田佳孝, 岡照晃, 浅原正幸
  
• chiVe: 製品利用可能な日本語単語ベクトル資源の実現へ向けて ～形態素解析器Sudachiと超大規模ウェブコーパスNWJCによる分散表現の獲得と改良～ by 久本空海, 山村崇, 勝田哲弘, 竹林佑斗, 髙岡一馬, 内田佳孝, 岡照晃, 浅原正幸
  
• Sudachi: a Japanese Tokenizer for Business by Kazuma Takaoka, Sorami Hisamoto, Noriko Kawahara, Miho Sakamoto, Yoshitaka Uchida, Yuji Matsumoto
  
• 形態素解析器『Sudachi』のための大規模辞書開発 by 坂本美保, 川原典子, 久本空海, 髙岡一馬, 内田佳孝
  
• 複数粒度の分割結果に基づく日本語単語分散表現 by 真鍋陽俊, 岡照晃, 海川祥毅, 髙岡一馬, 内田佳孝, 浅原正幸
  
• 詳細化した同義関係をもつ同義語辞書の作成 by 高岡一馬, 岡部裕子, 川原典子, 坂本美保, 内田佳孝
  

CZ CELLxGENE Discover Census

Tutorials

• Computing on the cell by gene matrix using online (incremental) algorithms by CZI
  
  
• Experimental Highly Variable Genes API by CZI
  
  
• Exploring all data from a tissue by CZI
  
  
• Exploring pre-calculated summary cell counts by CZI
  
  
• Exploring the Census Datasets table by CZI
  
  
• Genes measured in each cell (dataset presence matrix) by CZI
  
  
• Integrating multi-dataset slices of data by CZI
  
  
• Learning about the CZ CELLxGENE Census by CZI
  
  
• Normalizing full-length gene sequencing data by CZI
  
  
• Out-of-core (incremental) mean and variance calculation by CZI
  
  
• Querying and fetching the single-cell data and cell/gene metadata. by CZI
  
  
• Querying data using the gget cellxgene module by CZI
  
  
• Summarizing cell and gene metadata by CZI
  
  
• Training a PyTorch Model by CZI
  
  
• Understanding and filtering out duplicate cells by CZI
  
  

Tools & Applications

• Census Python API by CZI
  
• Census R API by CZI
  

Publications

• CZ CELLxGENE Discover: A single-cell data platform for scalable exploration, analysis and modeling of aggregated data by CZI Single-Cell Biology et al.
  
• scGPT: Towards Building a Foundation Model for Single-Cell Multi-omics Using Generative AI. by Haotian Cui, et al.
  

Gabriella Miller Kids First Pediatric Research Program (Kids First)

Tools & Applications

• CAVATICA by Seven Bridges Genomics
  
• Kids First DRC Portal by Kids First DRC
  
• Kids First DRC Source Code by Kids First DRC
  
• PedcBioPortal by cBioPortal
  

Publications

• Clinically Relevant and Minimally Invasive Tumor Surveillance of Pediatric Diffuse Midline Gliomas Using Patient-Derived Liquid Biopsy by Eshini Panditharatna, Lindsay B Kilburn, et al.
  
• Decreased ACKR3 (CXCR7) function causes oculomotor synkinesis in mice and humans. by Mary C Whitman, Noriko Miyake, et al.
  
• Deleterious de novo variants of X-linked ZC4H2 in females cause a variable phenotype with neurogenic arthrogryposis multiplex congenita. by Suzanna G M Frints, Friederike Hennig, et al.
  
• Development and Clinical Validation of a Large Fusion Gene Panel for Pediatric Cancers. by Fengqi Chang, Fumin Lin, et al.
  
• Elucidation of de novo small insertion/deletion biology with parent-of-origin phasing. by Allison H Seiden, Felix Richter, et al.
  
• Genome-Wide Association Study Identifies a Susceptibility Locus for Comitant Esotropia and Suggests a Parent-of-Origin Effect by Sherin Shaaban, Sarah MacKinnon et al.
  
• Genome-wide Enrichment of De Novo Coding Mutations in Orofacial Cleft Trios. by Madison R Bishop, Kimberly K Diaz Perez, et al.
  
• Genomic Analyses Implicate Noncoding De Novo Variants in Congenital Heart Disease. by Felix Richter, Sarah U Morton, et al.
  
• Germline 16p11.2 Microdeletion Predisposes to Neuroblastoma. by Laura Egolf, Zalman Vaksman, et al.
  
• Germline microsatellite genotypes differentiate children with medulloblastoma. by Samuel Rivero-Hinojosa, Nicholas Kinney, et al.
  
• MACF1 Mutations Encoding Highly Conserved Zinc-Binding Residues of the GAR Domain Cause Defects in Neuronal Migration and Axon Guidance by William B Dobyns, Kimberly A Aldinger, et al.
  
• MAGEL2-Related Disorders: A study and case series. by Jameson Patak, James Gilfert, et al.
  
• Phenotype delineation of ZNF462 related syndrome. by Paul Kruszka, Tommy Hu, et al.
  
• The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution. by Deanne M Taylor, Bruce J Aronow, et al.
  
• Whole genome sequencing of orofacial cleft trios from the Gabriella Miller Kids First Pediatric Research Consortium identifies a new locus on chromosome 21. by Nandita Mukhopadhyay, Madison Bishop, et al.
  

NOAA Geostationary Operational Environmental Satellites (GOES) 16, 17, 18 & 19

Tutorials

• Comparison reading GOES-R data from AWS S3 in netCDF versus zarr by Chelle Gentemann
  
• Forecasting Hurricane Tracks with TensorFlow and data from AWS S3 by Kyle Archie
  
• NOAA GOES16 Julia Jupyter Notebook Example by Peter Schmiedeskamp
  AWS CloudFormationAmazon EC2Amazon SageMaker
• Processing GOES-16 data with Dask & AWS Fargate by Zac Flamig
  AWS CloudFormationAWS FargateAmazon SageMaker
• Visualize GOES-16 in Python using Xarray by Hamed Alemohammad
  

Tools & Applications

• GOES Data Explorer by Craig Oliveira
  
• GOES-2-go is a python package for downloading and plotting plotting GOES data. by Brian K. Blaylock
  
• Modern Data Platform Orchestration with Dagster Software-Defined Assets by Adebayo Adejare
  

Publications

• Beginner’s Guide to GOES-R Series Data by Danielle Losos
  
• Billions of Birds Migrate. Where Do They Go? by National Geographic
  
• Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations by Brian K. Blaylock, and John D. Horel
  
• Embracing the cloud for climate research by North Carolina State University’s North Carolina Institute for Climate Studies
  
• GOES Quick Guides (Spanish) by Anthony Segura García
  
• Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
  
• Imaging Considerations From a Geostationary Orbit Using the Short Wavelength Side of the Mid-Infrared Water Vapor Absorption Band by N.B. Miller, M.M. Gunshor, A.J. Merrelli, T.S. L'Ecuyer, T.J. Schmit, J.J. Gerth, N.J. Gordillo
  
• Observations of lightning in relation to transitions in volcanic activity during the 3 June 2018 Fuego Eruption by Christopher J. Schultz, Virginia P. Andrews, Kimberly D. Genareau, and Aaron R. Naeger
  
• Solar irradiance forecasting for the solar powered future by Solcast
  
• SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data by Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J Reed, Hossein Vahabi
  
• The Use of Composite GOES-R Satellite Imagery to Evaluate a TC Intensity and Vortex Structure Forecast by an FV3GFS-Based Hurricane Forecast Model by Shaowu Bao, Zhan Zhang, Evan Kalina, and Bin Liu
  

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
  

Sentinel-2 Cloud-Optimized GeoTIFFs

Tutorials

• Access satellite imagery using Python by The Carpentries
  
• Create a Dynamic Tiler with TiTiler by Vincent Sarago
  
• How to process Sentinel-2 data in a serverless Lambda on AWS? by Alvaro Huarte
  AWS LambdaAmazon SNS
• How to Work with Landsat and Sentinel-2 on AWS with Python by Martin D. Maas
  
• Intake-STAC with sat-search by Scott Henderson
  
• Monitoring Lake Mead drought using the new Amazon SageMaker geospatial capabilities by Xiong Zhou, Anirudh Viswanathan, Erran Li, Trenton Lipscomb, and Xingjian Shi
  Amazon SageMaker
• STAC, COG, Python and QGIS by Andrew Cutts
  
• Transforming Geospatial Data to Cloud-Native Frameworks with Element 84 on AWS by Matt Hanson, Imtranur Rahman, Mary-Elizabeth Morin, and Ariel Walcutt
  Amazon EKSAmazon SageMakerAmazon S3
• Use Sentinel-2 data in the Open Data Cube by Alex Leith
  
• Using Sentinel-2 Data from the AWS Open Data Project to measure water hyacinth growth by Louise Liddell
  
  Amazon SageMaker Studio Lab

Tools & Applications

• FilmDrop Demo by Element 84
  
• Fire detection Twitter bot using satellite imagery by Firewatch
  
• rio-tiler-pds by Vincent Sarago, et al.
  
• Sat-search by Matthew Hanson
  
• SITS - Satellite Image Time Series Analysis for Earth Observation Data Cubes by e-Sensing
  
• SpatioTemporal Asset Catalogs by STAC Contriubutors
  

Publications

• OpenSentinelMap: A Large-Scale Land Use Dataset using OpenStreetMap and Sentinel-2 Imagery by Noah Johnson, Wayne Treible, Daniel Crispell
  
• STAC and Sentinel-2 COGs (ESIP Summer Meeting 2020) by Matthew Hanson
  

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
  

NEXRAD on AWS

Tutorials

• Get NEXRAD data from AWS, get severe reports from SPC archive, and plot a loop of them by Russ Schumacher
  
• Mapping Noaa Nexrad Radar Data With CARTO by Stuart Lynn
  
• NEXRAD on EC2 tutorial by openradar
  Amazon EC2
• Updated introduction to S3, Boto, and NOAA Nexrad in SageMaker Studio Lab (SMSL) by Chris Stoner
  
  Amazon SageMaker Studio Lab
• Using Python to Access NCEI Archived NEXRAD Level 2 Data (Jupyter notebook) by Ryan May
  

Tools & Applications

• Into the eye of the storm: NEXRAD Level II open data by Jonni Walker
  
• nexradaws on pypi.python.org - python module to query and download Nexrad data from Amazon S3 by Aaron Anderson
  
• Open NEXRAD Data Access for Level 3 with Lambda@Edge by Zac Flamig
  
• WeatherPipe - Amazon EMR based analysis tool for NEXRAD data stored on Amazon S3 by Stephen Lien Harrell
  

Publications

• Declines in an abundant aquatic insect, the burrowing mayfly, across major North American waterways by Phillip M. Stepanian, Sally A. Entrekin, Charlotte E. Wainwright, Djordje Mirkovic, Jennifer L. Tank, & Jeffrey F. Kelly
  
• Extreme Pyroconvective Updrafts During a Megafire by B. Rodriguez, N. P. Lareau, D. E. Kingsmill, & C. B. Clements
  
• Level 2 Interface Control Document for Message Data Formats: Build 18 by NOAA ROC
  
• Level 2 Interface Control Document for Transfer: Build 18 by NOAA ROC
  
• Level 3 Interface Control Document for Message Data Formats: Build 18 by NOAA ROC
  
• Observed Concentric Eyewalls of Supertyphoon Hinnamnor by Sachie Kanada and Akira Nishii
  
• Seasonal abundance and survival of North America’s migratory avifauna determined by weather radar by Adriaan M. Dokter, Andrew Farnsworth, Daniel Fink, Viviana Ruiz-Gutierrez, Wesley M. Hochachka, Frank A. La Sorte, Orin J. Robinson, Kenneth V. Rosenberg & Steve Kelling
  
• Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership by Steve Ansari and Stephen Del Greco
  

Terrain Tiles

Tutorials

• Using GDAL to Produce a Geotiff for an Area by Chris Henrick
  

Tools & Applications

• Customizable Terrain Tiles by Clockwork Micro
  
• Download topographical map contour lines as SVGs by Bunting Labs
  
• EOS Land Viewer by Earth Observing System
  
• Mapzen Terrain Tiles on AWS Reader by Safe Software
  
• On The Go Map by On The Go Map
  
• Open-Source Elevation Service by Racemap
  
• PlanetUtils (GitHub): Scripts and a Docker container to download, merge, and resample terrain tiles by Interline Technologies
  
• PODPAC: Python Library supporting TerrainTiles for analysis by Creare
  
• R package for accessing Terrain Tiles by Jeffrey W. Hollister
  
• Sentinel Hub WMS/WMTS/WCS Service for DEM by Sinergise
  
• Sentinel Playground for DEM by Sinergise
  
• ShadeMap: Simulate sun shadows for any time and place on Earth by Ted Piotrowski
  
• Shadowmap | Sun-Powered Insights. Anywhere on Earth. by Shadowmap Technologies GmbH
  
• Terradactile: Generate DEM and hillshade Cloud Optimized GeoTIFFs for visualization and download based on terrain tiles by Sparkgeo
  

Publications

• Interactive Visualization of 3D Terrain Data Stored in the Cloud by Gregory Larrick, Yun Tian, Uri Rogers, Halim Acosta, and Fangyang Shen
  
• Landscape transformations produce favorable roosting conditions for turkey vultures and black vultures by Jacob E. Hill, Kenneth F. Kellner, Bryan M. Kluever, Michael L. Avery, John S. Humphrey, Eric A. Tillman, Travis L. DeVault & Jerrold L. Belant
  

Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE)

Tutorials

• ITS_LIVE Point Data Access by Maria Liukis, Alex S. Gardner, Luis A. López, Mark Fahnestock, and Joseph H. Kennedy
  
  
• Using xarray to examine cloud-based glacier surface velocity data by Emma Marshall
  

Tools & Applications

• A serverless React-Leaflet website to plot and share ITS_LIVE data by Jacob Fahnestock
  
• Chad Greene's ITS_LIVE Matlab collection by Chad A. Greene
  
• ITS_LIVE Data Access API by NSIDC
  
• ITS_LIVE Data Access Portal by NSIDC
  
• ITS_LIVEpy: A Python client for ITS_LIVE glacier velocity data by Luis A. López and Mark Fahnestock
  
• ITS_LIVE_TOOL: A package designed to aid users working with the ITS_LIVE data by Victor Devaux-Chupin and Emma Marshall
  

Publications

• Antarctic calving loss rivals ice-shelf thinning by Greene, C.A., A.S. Gardner, N.-J. Schlegel, and A.D. Fraser
  
• Autonomous Repeat Image Feature Tracking (autoRIFT) and Its Application for Tracking Ice Displacement. Remote Sensing by Lei, Y., A.S. Gardner, and P. Agram
  
• Detecting seasonal ice dynamics in satellite images by Greene, C.A., A.S. Gardner, and L.C. Andrews
  
• Elevation change of the Antarctic Ice Sheet: 1985 to 2020 by Nilsson, J., A.S. Gardner, and F.S. Paolo
  
• Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years by Gardner, A. S., G. Moholdt, T. Scambos, M. Fahnstock, S. Ligtenberg, M. van den Broeke, and J. Nilsson
  
• Processing methodology for the ITS_LIVE Sentinel-1 ice velocity products by Lei, Y., A.S. Gardner, and P. Agram
  
• Ubiquitous acceleration in Greenland Ice Sheet calving from 1985 to 2022 by Greene, C.A., A.S. Gardner, M. Wood, and J.K. Cuzzone
  
• Widespread slowdown in thinning rates of West Antarctic Ice Shelves by Paolo, F. S., A.S. Gardner, C.A. Greene, J. Nilsson, M.P. Schodlok, N.-J. Schlegel, and H.A. Fricker
  

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
  

Genome Aggregation Database (gnomAD)

Tools & Applications

• gnomAD quality control GitHub repository by gnomAD Production Team
  
• Hail by Hail Team
  
• Hail utilities for gnomAD by gnomAD Production Team
  

Publications

• A genomic mutational constraint map using variation in 76,156 human genomes. Nature 625, 92–100 (2024) by Chen, S., Francioli, L. C., Goodrich, J. K., Collins, R. L., Wang, Q., Alföldi, J., Watts, N. A., Vittal, C., Gauthier, L. D., Poterba, T., Wilson, M. W., Tarasova, Y., Phu, W., Yohannes, M. T., Koenig, Z., Farjoun, Y., Banks, E., Donnelly, S., Gabriel, S., Gupta, N., Ferriera, S., Tolonen, C., Novod, S., Bergelson, L., Roazen, D., Ruano-Rubio, V., Covarrubias, M., Llanwarne, C., Petrillo, N., Wade, G., Jeandet, T., Munshi, R., Tibbetts, K., gnomAD Project Consortium, O’Donnell-Luria, A., Solomonson, M., Seed, C., Martin, A. R., Talkowski, M. E., Rehm, H. L., Daly, M. J., Tiao, G., Neale, B. M., MacArthur, D. G. & Karczewski, K. J.
  
• A structural variation reference for medical and population genetics. Nature 581, 444–451 (2020) by Collins, R. L., Brand, H., Karczewski, K. J., Zhao, X., Alföldi, J., Francioli, L. C., Khera, A. V., Lowther, C., Gauthier, L. D., Wang, H., Watts, N. A., Solomonson, M., O’Donnell-Luria, A., Baumann, A., Munshi, R., Walker, M., Whelan, C., Huang, Y., Brookings, T., ... Talkowski, M. E.
  
• Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016) by Lek, M., Karczewski, K., Minikel, E. et al.
  
• Characterising the loss-of-function impact of 5’ untranslated region variants in 15,708 individuals. Nature Communications 11, 2523 (2020) by Whiffin, N., Karczewski, K. J., Zhang, X., Chothani, S., Smith, M. J., Gareth Evans, D., Roberts, A. M., Quaife, N. M., Schafer, S., Rackham, O., Alföldi, J., O’Donnell-Luria, A. H., Francioli, L. C., Genome Aggregation Database (gnomAD) Production Team, Genome Aggregation Database (gnomAD) Consortium, Cook, S. A., Barton, P. J. R., MacArthur, D. G., & Ware, J. S.
  
• Evaluating potential drug targets through human loss-of-function genetic variation. Nature 581, 459–464 (2020) by Minikel, E. V., Karczewski, K. J., Martin, H. C., Cummings, B. B., Whiffin, N., Rhodes, D., Alföldi, J., Trembath, R. C., van Heel, D. A., Daly, M. J., Genome Aggregation Database Production Team, Genome Aggregation Database Consortium, Schreiber, S. L., & MacArthur, D. G.
  
• gnomAD v2.1 by Laurent Francioli, Grace Tiao, Konrad Karczewski, Matthew Solomonson, Nick Watts
  
• gnomAD v3.0 by Laurent Francioli, Daniel MacArthur
  
• Landscape of multi-nucleotide variants in 125,748 human exomes and 15,708 genomes. Nature Communications 11, 2539 (2020) by Wang, Q., Pierce-Hoffman, E., Cummings, B. B., Karczewski, K. J., Alföldi, J., Francioli, L. C., Gauthier, L. D., Hill, A. J., O’Donnell-Luria, A. H., Genome Aggregation Database (gnomAD) Production Team, Genome Aggregation Database (gnomAD) Consortium, & MacArthur, D. G.
  
• Technical artifact drives apparent deviation from Hardy-Weinberg equilibrium at CCR5-∆32 and other variants in gnomAD. bioRxiv (p. 784157) by Karczewski, K. J., Gauthier, L. D., Daly, M. J.
  
• The effect of LRRK2 loss-of-function variants in humans. Nature Medicine (2020) by Whiffin, N., Armean, I. M., Kleinman, A., Marshall, J. L., Minikel, E. V., Goodrich, J. K., Quaife, N. M., Cole, J. B., Wang, Q., Karczewski, K. J., Cummings, B. B., Francioli, L., Laricchia, K., Guan, A., Alipanahi, B., Morrison, P., Baptista, M. A. S., Merchant, K. M., Genome Aggregation Database Production Team, ... MacArthur, D. G.
  
• The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020) by Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., Gauthier, L. D., Brand, H., Solomonson, M., Watts, N. A., Rhodes, D., Singer-Berk, M., England, E. M., Seaby, E. G., Kosmicki, J. A., ... MacArthur, D. G.
  
• Transcript expression-aware annotation improves rare variant interpretation. Nature 581, 452–458 (2020) by Cummings, B. B., Karczewski, K. J., Kosmicki, J. A., Seaby, E. G., Watts, N. A., Singer-Berk, M., Mudge, J. M., Karjalainen, J., Kyle Satterstrom, F., O’Donnell-Luria, A., Poterba, T., Seed, C., Solomonson, M., Alföldi, J., The Genome Aggregation Database Production Team, The Genome Aggregation Database Consortium, Daly, M. J., & MacArthur, D. G.
  

GeoNet Aotearoa New Zealand Data

Tutorials

• Available GeoNet GNSS event high rate data by GNS Science - Te Pū Ao
  
• GeoNet Automatically Collected Landslide Data by GNS Science - Te Pū Ao
  
• GeoNet Automatically Collected Volcano Data by GNS Science - Te Pū Ao
  
• GeoNet Coastal Tsunami Gauge Digital Waveform Dataset by GNS Science - Te Pū Ao
  
• GeoNet continuous GNSS network RAW files by GNS Science - Te Pū Ao
  
• GeoNet continuous GNSS network RINEX by GNS Science - Te Pū Ao
  
• GeoNet datasets available via AWS Open Data Programme by GNS Science - Te Pū Ao
  
• GeoNet Deep-ocean Assessment and Reporting of Tsunami (DART) Dataset by GNS Science - Te Pū Ao
  
• GeoNet Seismic Digital Waveform dataset by GNS Science - Te Pū Ao
  
• GeoNet Strong Motion Data Products by GNS Science - Te Pū Ao
  

Publications

• GNS Science Te Pū Ao Joins the AWS Open Data Sponsorship Program to Better Prepare for Natural Disasters by Amazon Staff
  
• Site characterisation of GeoNet stations for the New Zealand Strong Motion Database by A. Kaiser, C. Van Houtte, N. Perrin, L. Wotherspoon, G. McVerry
  
• The development and evolution of the GeoNet and PositioNZ GNSS continuously operating network in New Zealand by P. Gentle; K. Gledhill; G. Blick
  
• The New Zealand National Seismograph Network by T. Petersen, K. Gledhill, M. Chadwick, N. Gale, J. Ristau
  
• Tsunami Forecasting and Monitoring in New Zealand by W. Power; N. Gale
  

NOAA Joint Polar Satellite System (JPSS)

Tutorials

• GOES-R/JPSS Short Course on Making Beautiful Images of NOAA Satellite Data using Python from the 2023 Annual Meeting of American Meteorological Society by Amy Huff and Rebekah Esmaili
  
• JPSS Satellites (COMET) by UCAR
  
• JPSS Short Course from the 2018 Annual Meeting of American Meteorological Society by Colorado State University
  
• JPSS Training Resources by NOAA
  
• JPSS_AWS Geolocate by Mya Sears
  
  Amazon SageMaker Studio Lab
• JPSS_AWS Timeselect by Mya Sears
  
  Amazon SageMaker Studio Lab
• Python scripts to download and display JPSS NODD datasets by Amy Huff and Rebekah Esmaili
  
• VIIRS Active Fire Quick Guide by NOAA
  
• VIIRS Products (NASA SPoRT) by NASA
  

Tools & Applications

• JPSS Data Explorer by Craig Oliveira
  
• JPSS Proving Ground by NOAA
  

Publications

• JPSS Annual Science Digest 2022 by NOAA
  
• JPSS Science Seminar Annual Digest 2020 by NOAA
  
• JPSS Science Seminar Annual Digest 2021 by NOAA
  
• NUCAPS EDR files in the cloud by Scott Lindstrom
  

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
  

The Singapore Nanopore Expression Data Set

Tutorials

• Accessing the SG-NEx dataset on AWS by Ying Chen
  
• Basecalling and analysing SG-NEx samples in S/BLOW5 format by Hasindu Gamaarachchi
  
• Differential RNA modification analysis tutorial with xPore by Yu Song Chuah
  
• Performing transcript discovery and quantification with Bambu by Min Hao Ling
  
• RNA modification analysis tutorial with m6Anet by Yu Song Chuah
  

Tools & Applications

• Bambu: Transcript discovery and quantification using long read RNA-Seq data by Ying Chen, Andre Sim et al.
  
• JAFFAL: Detection of fusion genes from long read RNA-Seq data by Nadia M Davidson et al.
  
• m6Anet: Identification of m6A from a single direct RNA-Seq sample by Christopher Hendra et al.
  
• nf-core/nanoseq: A nanopore DNA and RNA-Seq demultiplexing, QC, alignment and analysis pipeline by Chelsea Sawyer et al.
  
• xPore: Identification of differential RNA modification from direct RNA-Seq data by Ploy Pratanwanich et al.
  

Publications

• A systematic benchmark of Nanopore long read RNA sequencing for transcript level analysis in human cell lines. by Ying Chen et al.
  
• Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data. by Yuk Kei Wan et al.
  
• Detection of m6A from direct RNA sequencing using a Multiple Instance Learning framework. by Christopher Hendra et al.
  
• Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. by Ploy N Pratanwanich et al.
  
• JAFFAL: Detecting fusion genes with long read transcriptome sequencing. by Nadia M Davidson et al.
  

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
  

Digital Earth Africa Global Mangrove Watch

Tutorials

• Digital Earth Africa Global Mangrove Watch Notebook by Digital Earth Africa Contributors
  
• Digital Earth Africa Monitoring Mangrove Extents Notebook by Digital Earth Africa Contributors
  
• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Global Mangrove Watch) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  
• Global Mangrove Watch online platform by Global Mangrove Alliance
  

Publications

• Climate Next: How data and community can save Zanzibar’s mangroves by Amazon Staff
  
• Time series for nature: Preserving mangroves in Zanzibar by Digital Earth Africa Contributors
  
• Zanzibar: The Essential Mangrove | Climate Next by AWS by Amazon Web Services (AWS)
  

Digital Earth Africa Landsat Collection 2 Level 2

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (LS5 Surface Reflectance) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (LS5 Surface Temperature) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (LS7 Surface Reflectance) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (LS7 Surface Temperature) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (LS8 Surface Reflectance) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (LS8 Surface Temperature) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by ESRI
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  

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
  

RADARSAT-1

Tutorials

• PCI Geomatics Webinar | Cloud enabling earth observation archives by CATALYST
  

Tools & Applications

• ASF Data Recipes (Tutorials) by Alaska Satellite Facility - Distributed Active Archive Center
  
• Catalyst Professional by CATALYST
  
• ENVI SARscape by L3Harris Geospatial
  
• EODMS RAPI Client Python Script by Earth Observation Data Management System - Natural Resources Canada
  
• Gamma by Gamme Remote Sensing
  
• GDAL by GDAL
  
• MapReady by NASA
  
• OpenEV by Frank Warmerdam
  
• QGIS by German QGIS user group
  
• RADARSAT-1 Scripts | Scripts RADARSAT-1 by Canadian Space Agency - Agence spatiale canadienne
  
• RADARSTAC by Sparkgeo Consulting Inc.
  

Digital Earth Africa - Copernicus Global Land Service - Lake Water Quality

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer ( Lake Water Quality 2002-2012 (raster 300 m), 10-daily – version 1) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer ( Lake Water Quality 2016-2024 (raster 300 m), 10-daily – version 1) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer ( Lake Water Quality 2024 - present (raster 100 m), 10-daily – version 2) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer ( Lake Water Quality 2024 - present (raster 300 m), global, 10-daily – version 2) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Lake Water Quality 2019-2024 (raster 100 m), 10-daily – version 1) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Digital Earth Africa CHIRPS Rainfall

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Rainfall - Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (CHIRPS daily rainfall) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (CHIRPS monthly rainfall) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  
• The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes by Chris Funk, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell and Joel Michaelsen
  

Digital Earth Africa Coastlines

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Monitoring coastal erosion along Africa’s coastline by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa Web Feature Service by Digital Earth Africa Contributors
  
• Digital Earth Africa Web Map Service by Digital Earth Africa Contributors
  

Publications

• Introducing the Digital Earth Africa Coastlines Service by Digital Earth Africa Contributors
  
• Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery by Robbi Bishop-Taylor, Rachel Nanson, Stephen Sagar, Leo Lymburner
  
• Monitoring coastal erosion at Saly Portudal resort, Mbour-Senegal by Ndeye Fatou SANE, Lissong DIOP, Mamadou Lamine NDIAYE, Amadou SALL, Dr. Moussa SALL
  

Digital Earth Africa GeoMAD

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Landsat 5 and 7 GeoMAD) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Landsat 8 GeoMAD) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Sentinel-2 Annual GeoMAD) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Sentinel-2 Semi-Annual GeoMAD) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  

Digital Earth Africa Sentinel-2 Level-2A Surface Reflectance Collection 1

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Downloading and streaming data using STAC metadata by Digital Earth Africa Contributors
  
• Use Sentinel-2-C1 data in the Open Data Cube by Alex Leith
  

Tools & Applications

• Digital Earth Africa Explorer by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  
• S2 Processing by Sentiwiki
  

Digital Earth Africa Water Observations from Space

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Water Observations from Space All-Time Summary) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Water Observations from Space Annual Summary) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Water Observations from Space) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Analysing effects of drought on inundation extent and vegetation cover dynamics in the Okavango Delta by Kelebogile Mfundisi, Kenneth Mubea, Fang Yuan, Chad Burton and Edward Boamah
  
• Water Observations from Space: accurate maps of surface water through time for the continent of Africa by Meghan Halabisky, Kenneth Mubea, Fatou Mar, Fang Yuan, Chad Burton, Eloise Birchall, Negin F. Moghaddam, Sena Ghislain Adimou, Bako Mamane, David Ongo, Edward Boamah, Ee-Faye Chong, Nikita Gandhi, Alex Leith, Lisa Hall and Adam Lewis
  

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
  

Maxar Open Data Program

Tutorials

• ARD and Command Line Tools by Maxar Open Data
  
• ARD Deliverables and File Structure by Maxar Open Data
  
• Data Access (SDK tutorial) by Maxar Open Data
  
• Maxar Open Data - Leafmap by Qiusheng Wu
  
• Visualizing Maxar Open Data with SageMaker Studio Lab by Qiusheng Wu
  
  Amazon SageMaker Studio Lab
• Visualizing Turkey & Syria Earthquake Maxar Open Data with SageMaker Studio Lab by Qiusheng Wu
  
  Amazon SageMaker Studio Lab

Tools & Applications

• Maxar ARD SDK (max-ard) by Maxar Open Data
  
• MGP Xpress by MGP Xpress
  

Publications

• Machine learning remote sensing using the random forest classifier to detect the building damage caused by the Anak Krakatau Volcano tsunami by Riantini Virtriana et al.
  
• Disaster, Infrastructure and Participatory Knowledge The Planetary Response Network by Brooke Simmons, Chris Lintott, Steven Reece, et al.
  
• Using Data from Earth Observation to Support Sustainable Development Indicators: An Analysis of the Literature and Challenges for the Future by Ana Andries, Stephen Morse, Richard J. Murphy, Jim Lynch, and Emma R. Woolliams
  

NOAA Operational Forecast System (OFS)

Tools & Applications

• OFS Data Aggregation and Sub-Setting by NOAA
  

Publications

• Chesapeake Bay OFS Flyer by NOAA
  
• Chesapeake Bay OFS: Model Development and Skill Assessment by NOAA
  
• Delaware Bay and River OFS Flyer by NOAA
  
• Skill Assessment of the Delaware River and Bay OFS (DBOFS) by NOAA
  
• Tampa Bay OFS Flyer by NOAA
  
• Tampa Bay OFS: Model Development and Skill Assessment by NOAA
  
• Technical Implementation Notice for Chesapeake Bay OFS by NOAA
  
• Technical Implementation Notice for Delaware River and Bay OFS by NOAA
  
• Technical Implementation Notice for Tampa Bay OFS by NOAA
  
• Three-Dimensional Hydrodynamic Model Developments for a Delaware River and Bay Nowcast/Forecast System by NOAA
  

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.
  

Digital Earth Africa Sentinel-1 Radiometrically Terrain Corrected

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Water detection with Sentinel-1 by Madeleine Seehaber
  
  Amazon SageMaker Studio Lab

Tools & Applications

• Digital Earth Africa Explorer by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• An Operational Analysis Ready Radar Backscatter Dataset for the African Continent by Fang Yuan, Marko Repse, Alex Leith, Ake Rosenqvist, Grega Milcinski, Negin F. Moghaddam, Tishampati Dhar, Chad Burton, Lisa Hall, Cedric Jorand and Adam Lewis
  
• Introduction to DE Africa by Dr Fang Yuan
  

Digital Earth Africa Sentinel-2 Level-2A

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Downloading and streaming data using STAC metadata by Digital Earth Africa Contributors
  
• Use Sentinel-2 data in the Open Data Cube by Alex Leith
  

Tools & Applications

• Digital Earth Africa Explorer by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  

Garvan Institute Long Read Sequencing Benchmark Data

Tutorials

• Directly processing on an s3fs mount by Hasindu Gamaarachchi
  
• Fetching subsets with slow5curl and samtools by Bonson Wong
  

Tools & Applications

• buttery-eel: The buttery eel - a slow5 guppy basecaller wrapper by Samarakoon, H., Ferguson, J.M., Gamaarachchi H. et al.
  
• Slow5curl: library and tool for accessing remote BLOW5 files. by Wong, B., et al.
  
• Slow5lib: toolkit slow5lib is a software library for reading & writing SLOW5 files. by Gamaarachchi, H., Samarakoon, H., Jenner, S.P. et al.
  
• Slow5tools: toolkit for converting (FAST5 <-> SLOW5), compressing, viewing, indexing and manipulating data in SLOW5 format. by Samarakoon, H., Ferguson, J.M., Jenner, S.P. et al.
  

Publications

• Accelerated nanopore basecalling with SLOW5 data format. by Samarakoon, H., Ferguson, J.M., Gamaarachchi H. et al.
  
• Fast nanopore sequencing data analysis with SLOW5. by Gamaarachchi, H., Samarakoon, H., Jenner, S.P. et al.
  
• Flexible and efficient handling of nanopore sequencing signal data with slow5tools. by Samarakoon, H., Ferguson, J.M., Jenner, S.P. et al.
  
• Streamlining remote nanopore data access with slow5curl by Wong, B., Ferguson, J.M., Do, J.Y. et al.
  

Multi-Scale Ultra High Resolution (MUR) Sea Surface Temperature (SST)

Tutorials

• Python Jupyter Notebooks by Chelle Gentemann, Rich Signell
  
• Python Reader Software by PO.DAAC
  

Tools & Applications

• HTTPS server by PO.DAAC
  
• OPeNDAP server by Physical Oceanography Distributed Active Archive Center (PO.DAAC)
  
• State of the Ocean (SOTO) server by PO.DAAC
  
• THREDDS server by PO.DAAC
  
• Web discovery service by PO.DAAC
  

Publications

• A multi-scale high-resolution analysis of global sea surface temperature by Chin, Toshio Michael, Jorge Vazquez-Cuervo, and Edward M. Armstrong
  
• GHRSST Data Processing Specification by GHRSST Project
  
• Improving our knowledge about the oceans by providing cloud-based access to large datasets by Chelle Gentemann
  

New Zealand Imagery

Tutorials

• ArcGIS Workflows: NZ Imagery from a public AWS S3 bucket by Eagle Technology
  
• Browsing the s3://nz-imagery bucket by Toitū Te Whenua Land Information New Zealand
  
• Imagery survey naming and path conventions by Toitū Te Whenua Land Information New Zealand
  

Tools & Applications

• LINZ Basemaps by Toitū Te Whenua Land Information New Zealand
  
• LINZ Data Service by Toitū Te Whenua Land Information New Zealand
  
• LINZ Topographic Workflows - Bulk imagery processing with Kubernetes and Argo Workflows by Toitū Te Whenua Land Information New Zealand
  

Publications

• A Boundary Regulated Network for Accurate Roof Segmentation and Outline Extraction by Guangming Wu, Zhiling Guo, Xiaodan Shi, Qi Chen, Yongwei Xu, Ryosuke Shibasaki and Xiaowei Shao
  
• A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning by T. Nathan Mundhenk, Goran Konjevod, Wesam A. Sakla & Kofi Boakye
  
• Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response by Grant D. Pearse, Michael S. Watt, Julia Soewarto and Alan Y. S. Tan
  
• Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network by Yaning Yi, Zhijie Zhang, Wanchang Zhang, Chuanrong Zhang, Weidong Li and Tian Zhao
  

Catalina Sky Survey (CSS) subset data on AWS

Tools & Applications

• Astropy by The Astropy Developers
  
• CATCH (Comet-Asteroid Telescopic Catalog Hub) service: A moving-target search tool for large astronomical data sets, such as time-domain or near-Earth object surveys. by CATCH service is built and operated by the Small Bodies Node of the NASA Planetary Data System group at the University of Maryland.
  
• FITS image compression programs (fpack & funpack) by Rob Seaman (NOAO), William Pence (NASA/GSFC), Rick White (STScI).
  
• PDS4 Viewer by Small Bodies Node of the NASA Planetary Data System group at the University of Maryland.
  
• Transform Tool by Planetary Data System (PDS) Engineering Node
  

Publications

• Catalina Sky Survey Operations and Processing by R. Seaman, E. Christensen, A. Gibbs, S. Larson, F. Shelly
  
• Catalina Sky Survey Telescopes and Instrumentation by R. Seaman, E. Christensen, A. Gibbs, S. Larson, F. Shelly
  
• History of the Catalina Sky Survey by S. Larson, edited by R. Seaman
  
• Overview of Catalina Sky Survey PDS Archive by R. Seaman, C. Neese, J. Stone, E. Christensen
  

Department of Energy's Open Energy Data Initiative (OEDI)

Tools & Applications

• NSRDB Viewer by National Renewable Energy Laboratory (NREL)
  
• Tracking the Sun Tool by Lawrence Berkeley National Laboratory (LBNL)
  

Publications

• Estimating rooftop solar technical potential across the US using a combination of GIS-based methods, lidar data, and statistical modeling by Pieter Gagnon et al 2018 Environ. Res. Lett. 13 024027
  
• On the Use of Coupled Wind, Wave, and Current Fields in the Simulation of Loads on BottomSupported Offshore Wind Turbines during Hurricanes by E. Kim, L. Manuel, M. Curcic, S. S. Chen, C. Phillips, P. Veers
  
• Rooftop Solar Photovoltaic Technical Potential in the United States: A Detailed Assessment by Pieter Gagnon, Robert Margolis, Jennifer Melius, Caleb Phillips, and Ryan Elmore
  
• Rooftop Solar Technical Potential for Low-to-Moderate Income Households in the United States by Benjamin Sigrin and Meghan Mooney
  
• The Distributed Generation Market Demand Model (dGen):Documentation by B. Sigrin, M. Gleason, R. Preus, I. Baring-Gould, R. Margolis
  
• Tracking the Sun Pricing and Design Trends for Distributed Photovoltaic Systems in the United States: 2019 Edition by G. Barbose, N. Darghouth
  
• Using GIS-based methods and lidar data to estimate rooftop solar technical potential in US cities by Robert Margolis et al 2017 Environ. Res. Lett. 12 074013
  

Digital Earth Africa ALOS PALSAR, ALOS-2 PALSAR-2 and JERS-1

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (ALOS PALSAR and ALOS-2 PALSAR-2) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (JERS) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  

Digital Earth Africa Cropland Extent Map (2019)

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Cropland Extent Map) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Co-Production of a 10-m Cropland Extent Map for Continental Africa using Sentinel-2, Cloud Computing, and the Open-Data-Cube by Chad Burton, Fang Yuan, Chong Ee-Faye, Meghan Halabisky, David Ongo, Fatou Mar, Victor Addabor, Bako Mamane and Sena Adimou
  
• Cropland Extent is now available for the entire African continent by Digital Earth Africa Contributors
  

Digital Earth Africa Fractional Cover

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Fractional Cover Annual Summary) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (Fractional Cover) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  

Digital Earth Africa Monthly Normalised Difference Vegetation Index (NDVI) Anomaly

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (Monthly Normalised Difference Vegetation Index (NDVI) Anomaly) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Digital Earth Africa releases new Rolling Monthly GeoMAD continental service by Digital Earth Africa Contributors
  
• Mean NDVI and Anomalies by Digital Earth Africa Contributors
  

Louisiana Watershed Initiative (LWI) Model Data

Tutorials

• ENDMC Documentation by The Water Institute
  

Tools & Applications

• go-consequences by United States Army Corps of Engineers
  
• HEC-FIA by United States Army Corps of Engineers
  
• HEC-FIA documentation by United States Army Corps of Engineers
  
• HEC-HMS by United States Army Corps of Engineers
  
• HEC-HMS documentation by United States Army Corps of Engineers
  
• HEC-RAS by United States Army Corps of Engineers
  
• HEC-RAS documentation by United States Army Corps of Engineers
  
• LWI ENDMC Datan and Model Catalog. by The Water Institute
  

NREL Wind Integration National Dataset

Tutorials

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  

Tools & Applications

• Wind Prospector by Paul Edwards
  
• Wind Visualization by Jordan Perr-Sauer
  

Publications

• A Twenty-Year Analysis of Winds in California for Offshore Wind Energy Production Using WRF v4.1.2 by Alex Rybchuk, Mike Optis, Julie K. Lundquist, Michael Rossol, Walt Musial
  
• Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit by Caroline Draxl, Bri-Mathias Hodge, Andrew Clifton, Jim McCaa
  
• Power from wind: Open data on AWS by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer
  
• The Wind Integration National Dataset (WIND) Toolkit by Caroline Draxl, Andrew Clifton, Bri-Mathias Hodge, Jim McCaa
  
• Validation of Power Output for the WIND Toolkit by J. King, Andrew Clifton, Bri-Mathias Hodge
  
• WTK-LED: The WIND Toolkit Long-Term Ensemble Dataset by Caroline Draxl, Jiali Wang, Lindsay Sheridan, et al.
  

Open NeuroData

Tutorials

• Download by Benjamin Falk
  
• Visualization using Neuroglancer by Benjamin Falk
  

Tools & Applications

• CloudVolume by William Silversmith
  
• Igneous by William Silversmith
  
• Neuroglancer by Jeremy Maitin-Shepard
  

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
  
• From cosmos to connectomes: The evolution of data-intensive science by R. Burns, J. T. Vogelstein, and A. S. Szalay
  
• The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience by R. Burns, W. G. Roncal, D. Kleissas, K. Lillaney, P. Manavalan, E. Perlman, D. R. Berger, D. D. Bock, K. Chung, L. Grosenick, N. Kasthuri, N. C. Weiler, K. Deisseroth, M. Kazhdan, J. Lichtman, R. C. Reid, S. J. Smith, A. S. Szalay, J. T. Vogelstein, and R. J. Vogelstein.
  
• To the Cloud! A Grassroots Proposal to Accelerate Brain Science Discovery by J. T. Vogelstein, B. Mensh, M. Häusser, N. Spruston, A. C. Evans, K. Kording, K. Amunts, C. Ebell, J. Muller, M. Telefont, S. Hill, S. P. Koushika, C. Calì, P. A. Valdés-Sosa, P. B. Littlewood, C. Koch, S. Saalfeld, A. Kepecs, H. Peng, Y. O. Halchenko, G. Kiar, M. M. Poo, J. B. Poline, M. P. Milham, A. P. Schaffer, R. Gidron, H. Okano, V. D. Calhoun, M. Chun, D. M. Kleissas, R. J. Vogelstein, E. Perlman, R. Burns, R. Huganir, and M. I. Miller
  

PubSeq - Public Sequence Resource

Tutorials

• PubSeq Documentation by PubSeq development team
  
• PubSeq FAQ by PubSeq development team
  
• Query metadata by PubSeq development team
  
• REST API by PubSeq development team
  
• Submitting a sequence by PubSeq development team
  

Tools & Applications

• Source code for (meta)data uploader by PubSeq development team
  
• Source code for CWL workflows by PubSeq development team
  
• Source code for website by PubSeq development team
  

Publications

• Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 during Border Quarantine and Air Travel, New Zealand (Aotearoa) by Eichler, N. et al.
  

Southern California Earthquake Data

Tutorials

• Cactus to Clouds: Processing The SCEDC Open Data Set on AWS by Tim Clements
  
• Getting Started with SCEDC AWS Public Dataset by Ellen Yu
  
• Jupyter Notebook tutorial on Ridgecrest DAS dataset by Jiuxun Yin
  
• Script to Download Seismic Waveforms from the SCEDC AWS Public Dataset by Aparna Bhaskaran
  
• SeisNoise.jl GPU Computing Tutorial - Another example of accessing data s3://scedc-pds for ambient noise cross-correlation by Tim Clements
  
• Using Amazon API Gateway and Lambda to window and decimate waveforms by Shang-Lin Chen
  AWS Lambda
• Using Lambda to Process Seismograms by Shang-Lin Chen
  AWS Lambda

Publications

• Southern California Earthquake Data Now Available in the AWS Cloud by Ellen Yu; Aparna Bhaskaran; Shang‐Lin Chen; Zachary E. Ross; Egill Hauksson; Robert W. Clayton
  
• The Seismic Signature of California's Earthquakes, Droughts, and Floods. by Tim Clements; Marine Denolle
  

Steinegger Lab Datasets

Tutorials

• ColabFold Tutorial by Ovchinnikov S, Mirdita M and Steinegger M
  
• ColabFold User Guide by Mirdita M and Ovchinnikov S
  
• Foldseek User Guide by Mirdita M and Steinegger M
  

Tools & Applications

• ColabFold Google Colab Notebook by Ovchinnikov S, Mirdita M and Steinegger M
  
• Foldseek Search Server by van Kempen M, Kim S, Tumescheit C, Mirdita M, Lee J, Gilchrist CLM, et al.
  
• Run ColabFold on your local computer by Moriwaki Y
  

Publications

• ColabFold: Making protein folding accessible to all by Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S and Steinegger M
  
• Fast and accurate protein structure search with Foldseek by van Kempen M, Kim S, Tumescheit C, Mirdita M, Lee J, Gilchrist CLM, et al.
  
• MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets by Steinegger M and Söding J
  

USGS 3DEP LiDAR Point Clouds

Tutorials

• Extracting buildings and roads from AWS Open Data using Amazon SageMaker by Yunzhi Shi, Tianyu Zhang, and Xin Chen
  Amazon SageMaker
• Using Lambda Layers with USGS 3DEP LiDAR Point Clouds by Howard Butler
  AWS Lambda
• WebGL Visualization of USGS 3DEP Lidar Point Clouds with Potree and Plasio.js by Connor Manning
  

Tools & Applications

• Equator - View, Process, and Download USGS 3DEP LiDAR data in-browser by Equator Studios
  
• Facebook Line of Sight Check by Facebook
  
• Jupyter Notebooks to enable programmatic access to cloud-hosted USGS 3D Elevation Program (3DEP) lidar data by OpenTopography
  
• OpenTopography access to 3DEP lidar point cloud data by OpenTopography
  

Publications

• Statewide USGS 3DEP Lidar Topographic Differencing Applied to Indiana, USA by Chelsea Phipps Scott, Matthew Beckley, Minh Phan, Emily Zawacki, Christopher Crosby, Viswanath Nandigam, and Ramon Arrowsmith
  
• USGS 3DEP Lidar Point Cloud Now Available as Amazon Public Dataset by Department of the Interior, U.S. Geological Survey
  

World Bank - Light Every Night

Tutorials

• Open Nighttime Lights by Daynan Crull, Trevor Monroe
  

Tools & Applications

• Global Scale Nightlight Time Series Dataset by Alameen Najjar
  
• High Resolution Electricity Access Indicators (HREA) - Settlement-level measures of electricity access, reliability, and usage. by Brian Min, Zachary O'Keeffe
  
• Twenty Years of India Lights by Kwawu Mensan Gaba, Brian Min, Anand Thakker, Christopher Elvidge
  

Publications

• Detection of Rural Electrification in Africa using DMSP-OLS Night Lights Imagery. International Journal of Remote Sensing by Brian Min, Kwawu Mensan Gaba, Ousmane Fall Sarr, Alassane Agalassou.
  
• Mainstreaming Disruptive Technologies in Energy. World Bank Report. 2019 by Kwawu Mensan Gaba, Brian Min, Olaf Veerman, Kimberly Baugh
  
• Mapping city lights with nighttime data from the DMSP Operational Linescan System. Photogrammetric Engineering and Remote Sensing, 63(6)727-734. by Elvidge, C.D., Baugh, K.E., Kihn, E.A., Kroehl, H.W. and Davis, E.R.
  
• Nighttime lights compositing using the VIIRS day-night band - Preliminary results. Proceedings of the Asia-Pacific Advanced Network 35 (2013)70-86. by Kimberly Baugh, Feng-Chi Hsu, Christopher D. Elvidge, and Mikhail Zhizhin.
  
• Power and the Vote - Elections and Electricity in the Developing World. Cambridge. 2015. by Brian Min
  

nuScenes

Tutorials

• nuImages devkit tutorial by Motional
  
  
• nuScenes CAN bus tutorial by Motional
  
  
• nuScenes devkit tutorial by Motional
  
  
• nuScenes lidarseg and panoptic tutorial by Motional
  
  
• nuScenes Map Expansion Tutorial by Motional
  
  
• nuScenes prediction tutorial by Motional
  
  

Tools & Applications

• nuScenes devkit by Motional
  

Publications

• nuScenes: A multimodal dataset for autonomous driving by Holger Caesar, Varun Bankiti, Alex H. Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, Oscar Beijbom
  
• Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking by Whye Kit Fong, Rohit Mohan, Juana Valeria Hurtado, Lubing Zhou, Holger Caesar, Oscar Beijbom, Abhinav Valada
  

ArcticDEM

Tutorials

• PGC Dynamic STAC API Tutorial by Polar Geospatial Center
  

Tools & Applications

• ArcticDEM Explorer by Polar Geospatial Center & ESRI
  
• OpenTopography access to ArcticDEM by OpenTopography
  

Publications

• Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
  
• Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality by Myoung-Jong Noh, Ian M. Howat
  
• Dynamic ice loss from the Greenland Ice Sheet driven by sustained glacier retreat by Michalea D. King, Ian M. Howat, Salvatore G. Candela, Myoung J. Noh, Seongsu Jeong, Brice P. Y. Noël, Michiel R. van den Broeke, Bert Wouters, Adelaide Negrete
  
• Future Evolution of Greenland's Marine-Terminating Outlet Glaciers by Ginny A. Catania, Leigh A. Stearns, Twila A. Moon, Ellen M. Enderlin, R. H. Jackson
  
• The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
  

Boreas Autonomous Driving Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Keenan Burnett
  Amazon SageMaker
• Project Lidar onto Camera Frames (Jupyter notebook) by Keenan Burnett
  Amazon SageMaker

Publications

• Are We Ready for Radar to Replace Lidar in All-Weather Mapping and Localization? by K Burnett, Y Wu, D J Yoon, A P Schoellig, T D Barfoot
  
• Boreas: A multi-season autonomous driving dataset by K Burnett, D J Yoon, Y Wu, A Z Li, H Zhang, S Lu, J Qian, W Tseng, A Lambert, K YK Leung, A P Schoellig, Timothy D Barfoot
  
• Do we need to compensate for motion distortion and doppler effects in spinning radar navigation? by K Burnett, A P Schoellig, T D Barfoot
  
• Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity by D J Yoon, K Burnett, J Laconte, Y Chen, H Vhavle, S Kammel, J Reuther, T D Barfoot
  
• Picking up speed: Continuous-time Lidar-only odometry using doppler velocity measurements by Y Wu, D J Yoon, K Burnett, S Kammel, Y Chen, H Vhavle, T D Barfoot
  
• Radar odometry combining probabilistic estimation and unsupervised feature learning by K Burnett, D J Yoon, A P Schoellig, T D Barfoot
  

CMIP6 GCMs downscaled using WRF

Tutorials

• Downscaling file descriptions, directory structure, and data access by Stefan Rahimi & Lei Huang
  
• Jupyter Notebook Example by Stefan Rahimi
  

Publications

• An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3) by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Krantz, W., Bass, B., Thackeray, C., Lin, H., Chen, D., Dennis, E., Collins, E., Lebo, Z. J., Slinskey, E., Graves, S., Biyani, S., Wang, B., Cropper, S., and the UCLA Center for Climate Science Team
  
• Is Bias Correction in Dynamical Downscaling Defensible? by Risser, M. D., Rahimi, S., Goldenson, N., Hall, A., Lebo, Z. J., and Feldman, D. R.
  
• Memo on the Development and Availability of Dynamically Downscaled Projections Using WRF by Stefan Rahimi
  
• Memo on the Evaluation of Downscaled GCMs Using WRF by Stefan Rahimi
  
• Memorandum on Evaluating Global Climate Models for Studying Regional Climate Change in California by Will Krantz, David Pierce, Naomi Goldenson, Daniel Cayan
  
• Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Risser, M., Feldman, D. R., Lebo, Z. J., Dennis, E., and Thackeray, C.
  

Cancer Cell Line Encyclopedia (CCLE)

Tools & Applications

• Broad Institute Cancer Cell Line Encyclopedia by The Broad Institute of MIT & Harvard
  
• Cancer Genomics Cloud by Seven Bridges
  
• Genomic Data Commons by National Cancer Institute
  
• ISB CGC BigQuery tables by Institute for Systems Biology
  

Publications

• Next-generation characterization of the Cancer Cell Line Encyclopedia by Ghandi, M., Huang F. et al.
  
• Pharmacogenomic agreement between two cancer cell line data sets by The Cancer Cell Line Encyclopedia Consortium & The Genomics of Drug Sensitivity in Cancer Consortium
  
• The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity by Barretina Caponigro Stransky et al.
  
• The landscape of cancer cell line metabolism by Li, H. et al.
  

DOE's Water Power Technology Office's (WPTO) US Wave dataset

Tools & Applications

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  

Publications

• Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization by Wu, Wei-Cheng; Wang, Taiping; Yang, Zhaoqing; Garcia Medina, Gabriel
  
• Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast by Allahdadi, M.N., Gunawan, J. Lai, R. He, V.S. Neary
  
• High-resolution hindcasts for U.S. wave energy resource characterization by Yang, Z. and V.S. Neary
  
• High-Resolution Regional Wave Hindcast for the U.S. West Coast by Yang, Zhaoqing; Wu, Wei-Cheng; Wang, Taiping; Castrucci, Luca
  
• Nearshore wave energy resource characterization along the East Coast of the United States by Ahn, S. V.S. Neary, Allahdadi, N. and R. He
  
• Predicting ocean waves along the US East Coast during energetic winter storms: sensitivity to whitecapping parameterizations by Allahdadi, M.N., He, R., and Neary, V.S
  
• SWAN Cycle III version 41.31A by The SWAN team
  

Digital Earth Africa Normalised Difference Vegetation Index (NDVI) Climatology

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer(Normalised Difference Vegetation Index (NDVI) Climatology) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Mean NDVI and Anomalies by Digital Earth Africa Contributors
  

IBL Neuropixels Brainwide Map on AWS

Tutorials

• Download the public datasets by IBL Data Architecture Working Group
  
• Example analysis of the brain-wide map dataset by IBL Data Architecture Working Group
  
• Find data associated with a release or publication by IBL Data Architecture Working Group
  
• Introduction to IBL and the brain-wide map dataset by IBL Data Architecture Working Group
  
• Loading Data by IBL Data Architecture Working Group
  
• Using IBL data with ONE by IBL Data Architecture Working Group
  

Tools & Applications

• Data Explorer by IBL Data Architecture Working Group
  
• ONE-api on pypi.python.org - python API to query and download neurophysiology data by IBL Data Architecture Working Group
  

NASA Earth Exchange (NEX) Data Collection

Tutorials

• Accessing and plotting NASA-NEX data, from GEOSChem-on-cloud tutorial. by Jiawei Zhuang
  
• Sample Python code to analyze NASA-NEX data. by Jiawei Zhuang
  

Tools & Applications

• Azavea Climate API by Azavea
  

Publications

• Climate Downscaling Using YNet: a Deep Convolutional Network with Skip Connections and Fusion by Yumin Liu, Auroop Ganguly, and Jennifer Dy
  
• Downscaled Climate Projections Suitable for Resource Management, Eos Trans. AGU, 94(37), 321. by Thrasher, B., J. Xiong, W. Wang, F. Melton, A. Michaelis and R. Nemani (2013)
  
• Explainable deep learning for insights in El Nino and river flows by Yumin Liu, Kate Duffy, Jennifer G. Dy, and Auroop R. Ganguly
  
• Potential changes in cooling degree day under different global warming levels and shared socioeconomic pathways in West Africa by Oluwarotimi Delano Thierry Odou, Heidi Heinrichs Ursula, Rabani Adamou, Thierry Godjo, and Mounkaila S Moussa
  
• Statistical downscaling using Localized Constructed Analogs (LOCA). by Pierce, D. W., D. R. Cayan, and B. L. Thrasher (2014)
  

NIH Roadmap Epigenomics

Tutorials

• Navigation of Roadmap data using Roadmap web portal by Anshul Kundaje Lab
  
• Visualize Roadmp data with WashU Epigenome Browser by WashU Epigenome Browser
  

Publications

• Chromatin architecture reorganization during stem cell differentiation by GJesse R. Dixon, Inkyung Jung, Siddarth Selvaraj, Yin Shen, Jessica E. Antosiewicz-Bourget, Ah Young Lee, Zhen Ye, Audrey Kim, Nisha Rajagopal, Wei Xie, Yarui Diao, Jing Liang, Huimin Zhao, Victor V. Lobanenkov, Joseph R. Ecker, James A. Thomson & Bing Ren
  
• Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease. by Elizabeta Gjoneska, Andreas R. Pfenning, Hansruedi Mathys, Gerald Quon, Anshul Kundaje, Li-Huei Tsai & Manolis Kellis.
  
• Human body epigenome maps reveal noncanonical DNA methylation variation by Matthew D. Schultz, Yupeng He, John W. Whitaker, Manoj Hariharan, Eran A. Mukamel, Danny Leung, Nisha Rajagopal, Joseph R. Nery, Mark A. Urich, Huaming Chen, Shin Lin, Yiing Lin, Inkyung Jung, Anthony D. Schmitt, Siddarth Selvaraj, Bing Ren, Terrence J. Sejnowski, Wei Wang & Joseph R. Ecker
  
• Integrative analysis of 111 reference human epigenomes by Roadmap Epigenomics Consortium, Anshul Kundaje, Wouter Meuleman, Jason Ernst, Misha Bilenky, Angela Yen, Alireza Heravi-Moussavi, Pouya Kheradpour etc.al, Ting Wang, Manolis Kellis
  
• The epigenomic landscape of transposable elements across normal human development and anatomy by Erica C. Pehrsson, Mayank N. K. Choudhary, Vasavi Sundaram & Ting Wang
  
• WashU Epigenome Browser update 2019 by Daofeng Li, Silas Hsu, Deepak Purushotham, Renee L Sears and Ting Wang
  

NOAA Water-Column Sonar Data Archive

Tutorials

• Frequency Differencing with Raw Data by Carrie Wall
  
• Plotting Raw EK60 Data by Carrie Wall
  
• Reading and Plotting Bottom Data by Carrie Wall
  
• Reading and Plotting Processed CSV Data by Carrie Wall
  

Tools & Applications

• pyEcholab - an open-source, python-based toolkit for reading, processing, plotting, and exporting fisheries acoustic echosounder data by Rick Towler, Chuck Anderson, Veronica Martinez, Pamme Crandell
  
• Water Column Sonar Data Explorer - Map viewer for exploring sonar water column data by NCEI, NOAA
  

Publications

• Building an Accessible Archive for Water Column Sonar Data by Carrie Wall
  
• Increasing the accessibility of acoustic data through global access and imagery by Carrie Wall, Michael Jech, and Susan McLean
  

New Zealand Elevation

Tutorials

• Browsing the s3://nz-elevation bucket by Toitū Te Whenua Land Information New Zealand
  
• Elevation survey naming and path conventions by Toitū Te Whenua Land Information New Zealand
  

Tools & Applications

• LINZ Basemaps by Toitū Te Whenua Land Information New Zealand
  
• LINZ Data Service by Toitū Te Whenua Land Information New Zealand
  
• LINZ Topographic Workflows - Bulk elevation data processing with Kubernetes and Argo Workflows by Toitū Te Whenua Land Information New Zealand
  

Publications

• Dairy farming exposure and impacts from coastal flooding and sea level rise in Aotearoa-New Zealand by Heather Craig, Alec Wild and Ryan Paulik
  
• Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data by Jane J. Meiforth, Henning Buddenbaum, Joachim Hill, James D. Shepherd and John R. Dymond
  
• Underpinning Terroir with Data: Integrating Vineyard Performance Metrics with Soil and Climate Data to Better Understand Within-Region Variation in Marlborough, New Zealand by R. G. V. Bramley, J. Ouzman, A. P. Sturman, G. J. Grealish, C. E. M. Ratcliff and M. C. T. Trought
  

Northern California Earthquake Data

Tutorials

• Getting Started with NCEDC AWS Public Dataset by Ellen Yu, Stephane Zuzlewski
  

Publications

• Collaborative Projects at the Northern California Earthquake Data Center (NCEDC) by Doug Neuhauser; David Oppenheimer; Stephane Zuzlewski; Lind Gee; Mark Murray
  
• Improved Data Access From the Northern California Earthquake Data Center by Doug Neuhauser; Fred Klein; Stephane Zuzlewski; David Oppenheimer; Gray Jensen
  
• New Continuous Timeseries Data at the Northern California Earthquake Data Center by Doug Neuhauser; Stephane Zuzlewski; Lind Gee; Lynn Dietz; Will Kohler
  
• Open Access to Decades of NCSN Waveforms at the Northern California Earthquake Data Center by Doug Neuhauser; Fred Klein; Stephane Zuzlewski; David Oppenheimer; Gray Jensen
  
• Robust Distributed Earthquake Monitoring with CISN software in Northern California by Doug Neuhauser; Stephane Zuzlewski; Peter Lombard; Lynn Dietz; Jim Luetgert
  
• The Northern California Earthquake Data Center: Seismic and Geophysical Data for Northern California and Beyond by Doug Neuhauser; Fred Klein; Stephane Zuzlewski; Lind Gee; David Oppenheimer
  
• The Northern California Earthquake Management System: A Unified System From Realtime Monitoring to Data Distribution by Doug Neuhauser; Fred Klein; Stephane Zuzlewski; Lynn Dietz; Peter Lombard
  

Open CEDA by Watershed

Tutorials

• For a tutoral please download the CEDA Methodology Documentation on the openceda.org website. by Watershed Technology
  

Publications

• A Consumption-Based Greenhouse Gas Inventory of SanFrancisco Bay Area Neighborhoods, Cities and Counties by Christopher M. Jones & Daniel M. Kammen, 2015
  
• Advancing Sustainable Materials Management - 2016 Recycling Economic Information (REI) Report by EPA, 2016
  
• Are services better for climate change? by Sangwon, Suh, 2006
  
• Converting University Spending to Greenhouse Gas Emissions - A Supply Chain Carbon Footprint Analysis of UC Berkeley by Kelley L. Doyle, 2012
  
• Environmental Impacts of Products - Policy Relevant Information and Data Challenges by Eder P, Tukker A, Suh S
  
• Environmentally extended input-output tables and models for Europe by Arnold Tukker (TNO), Gjalt Huppes, Lauran van Oers, Reinout Heijungs (CML), 2006
  
• Greening Government Procurement - Turning Uncle Sam Into an Eco-Friendly Consumer by James Badham, 2014
  

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
  

Reference Elevation Model of Antarctica (REMA)

Tutorials

• PGC Dynamic STAC API Tutorial by Polar Geospatial Center
  

Tools & Applications

• OpenTopography access to REMA by OpenTopography
  
• REMA Explorer by Polar Geospatial Center & ESRI
  

Publications

• Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
  
• Automatic relative RPC image model bias compensation through hierarchical image matching for improving DEM quality by Myoung-Jong Noh, Ian M. Howat
  
• Deep glacial troughs and stabilizing ridges unveiled beneath the margins of the Antarctic ice sheet by Morlighem, M., Rignot, E., Binder, T. et al.
  
• The Reference Elevation Model of Antarctica by Ian M. Howat, Claire Porter, Benjanim E. Smith, Myoung-Jong Noh, Paul Morin
  
• The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
  

Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription (TaRGET)

Tutorials

• Finding and Downloading TaRGET II Data files by TaRGET-DCC
  

Tools & Applications

• Visualize TaRGET II data with WashU Epigenome Browser by WashU Epigenome Browser
  

Publications

• Comparison of differential accessibility analysis strategies for ATAC-seq data by Gontarz P, Fu S, Xing X, Liu S, Miao B et.al.
  
• Environmental Determinants of cardiovasular disease: lessons learned from air pollution by Al-Kindi SG, Brook RD, Biswal S, Rajagopalan S.
  
• Epigenetic biomarkers and preterm birth by Park B, Khanam R, Vinayachandran V, et.al.
  
• Metabolic effects of air pollution exposure and reversibility by Rajagopalan S, Park B, Palanivel R, et al.
  
• The NIEHS TaRGET II Consortium and environmental epigenomics by Wang, T., Pehrsson, E., Purushotham, D. et al.
  
• The role of environmental exposures and the epigenome in health and disease. by Perera BPU, Faulk C, Svoboda LK, Goodrich JM, Dolinoy DC.
  

U.S. Environmental Protection Agency (EPA) Center for Computational Toxicology and Exposure High Throughput Transcriptomics Data

Tools & Applications

• HTTr pipeline by Logan Everett
  

Publications

• Benchmark Dose Modeling Approaches for Volatile Organic Chemicals Using a Novel Air-Liquid Interface In Vitro Exposure System by Speen A., Murray J., Krantz Q., Davies D., Evansky P., Harrill J., et al
  
• Combining phenotypic profiling and targeted RNA-Seq reveals linkages between transcriptional perturbations and chemical effects on cell morphology: Retinoic acid as an example by Nyffeler J., Willis C., Harris F., Taylor L., Judson R., Everett L., et al
  
• Exploring the Effects of Experimental Parameters and Data Modeling Approaches on In Vitro Transcriptomic Point-of-Departure Estimates by Harrill J., Everett L., Haggard D., Bundy J., Willis C., Shah I., et al
  
• High-Throughput Transcriptomics of Water Extracts Detects Reductions in Biological Activity with Water Treatment Processes by Rogers J., Leusch F., Chambers B., Daniels K., Everett L., Judson R., et al
  
• High-Throughput Transcriptomics Platform for Screening Environmental Chemicals by Harrill J., Everett L., Haggard D., Sheffield T., Bundy J., Willis C., et al
  
• High-Throughput Transcriptomics Screen of ToxCast Chemicals in U-2 OS Cells by Bundy J., Everett L., Rogers J., Nyffeler J., Byrd G., Culbreth M., et al
  
• Signature analysis of high-throughput transcriptomics screening data for mechanistic inference and chemical grouping by Harrill J., Everett L., Haggard D., Word L., Bundy J., Chambers B., et al
  

ASTER L1T Cloud-Optimized GeoTIFFs

Tutorials

• Working with ASTER L1T Visible and Near Infrared (VNIR) Data in R by Cole Krehbiel
  

Tools & Applications

• Descartes Labs Platform by Descartes Labs Inc.
  
• Latitude-Longitude to Path-Row conversion by USGS
  
• LatLongToWRS by Robin Wilson
  

Publications

• ASTER L1T Algorithm Theoretical Basis by David Meyer, Dawn Siemonsma, Barbara Brooks, and Lowell Johnson
  
• ASTER L1T Product Specification by USGS EROS Data Center
  
• ASTER L1T Product User Guide by USGS EROS Data Center
  

CIViC (Clinical Interpretation of Variants in Cancer)

Tutorials

• Introduction to Clinical Interpretation of Somatic Cancer Variants by The Griffith Lab
  

Tools & Applications

• CIViCpy - an analysis toolkit and SDK for extracting and analyzing knowledge from the CIViC knowledgebase by The CIViCpy Team
  

Publications

• A community approach to the cancer-variant-interpretation bottleneck by Kilannin Krysiak et al.
  
• CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer by Malachi Griffith et al.
  
• CIViCdb 2022: evolution of an open-access cancer variant interpretation knowledgebase by Kilannin Krysiak et al.
  
• CIViCpy: A Python Software Development and Analysis Toolkit for the CIViC Knowledgebase by Alex H Wagner et al.
  
• Standard operating procedure for curation and clinical interpretation of variants in cancer by Arpad M Danos et al.
  

Clinical Proteomic Tumor Analysis Consortium 2 (CPTAC-2)

Tools & Applications

• Cancer Genomics Cloud by Seven Bridges
  
• CPTAC Data Portal by National Cancer Institute
  
• Genomic Data Commons by National Cancer Institute
  
• Proteomic Data Commons by National Cancer Institute
  

Publications

• Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer by Hui Zhang, Tao Liu, Zhen Zhang, Samuel H. Payne, Bai Zhang, Jason E. McDermott, Jian-Ying Zhou, Vladislav A. Petyuk, Li Chen, Debjit Ray, Shisheng Sun, Feng Yang, Lijun Chen, Jing Wang, Punit Shah, Seong Won Cha, Paul Aiyetan, Sunghee Woo, Yuan Tian, Marina A. Gritsenko, Therese R. Clauss, Caitlin Choi, Matthew E. Monroe, Stefani Thomas, Song Nie, Chaochao Wu, Ronald J. Moore, Kun-Hsing Yu, David L. Tabb, David Fenyö, Vineet Bafna, Yue Wang, Henry Rodriguez, Emily S. Boja, Tara Hiltke, Robert C. Rivers, Lori Sokoll, Heng Zhu, Ie-Ming Shih, Leslie Cope, Akhilesh Pandey, Bing Zhang, Michael P. Snyder, Douglas A. Levine, Richard D. Smith, Daniel W. Chan, Karin D. Rodland, the CPTAC Investigators
  
• Proteogenomic Analysis of Human Colon Cancer Reveals New Therapeutic Opportunities by Suhas Vasaikar, Chen Huang, Xiaojing Wang. Vladislav A. Petyuk, Sara R. Savage, Bo Wen, Yongchao Dou, Yun Zhang, Zhiao Shi, Osama A. Arshad, Marina A. Gritsenko, Lisa J. Zimmerman, Jason E. McDermott, Therese R. Clauss, Ronald J. Moore, Rui Zhao, Matthew E. Monroe, Yi-Ting Wang, Matthew C. Chambers, Robbert J.C. Slebos, Ken S. Lau, Qianxing Mo, Li Ding, Matthew Ellis, Mathangi Thiagarajan, Christopher R. Kinsinger, Henry Rodriguez, Richard D. Smith, Karin D. Rodland, Daniel C. Liebler, Tao Liu, Bing Zhang, Clinical Proteomic Tumor Analysis Consortium
  
• Proteomic analysis of colon and rectal carcinoma using standard and customized databases by Slebos RJ, Wang X, Wang X, Zhang B, Tabb DL, Liebler DC
  

Coupled Model Intercomparison Project 6

Tutorials

• Analyze terabyte-scale geospatial datasets with Dask and Jupyter on AWS by Ethan Fahy and Zac Flamig
  Amazon EC2Amazon EKSAmazon S3AWS CloudFormation
• Comparing CMIP6 Zarr vs NetCDF Holdings by Aparna Radhakrishnan
  Amazon S3
• Finding CMIP6 data using intake-esm and plotting time series for points by Zac Flamig
  AWS CloudFormationAmazon SageMaker
• Getting Started with CMIP6 Data by Aparna Radhakrishnan
  
• Processing CMIP6 data in Zarr format with Dask & AWS Fargate by Zac Flamig
  AWS CloudFormationAWS FargateAmazon SageMaker

Publications

• CMIP6 Data Informational Session Video Recording by ASDI
  
• Special issue | Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental Design and Organization by V. Eyring
  

Earth Observation Data Cubes for Brazil

Tutorials

• Tile Map Service to view Image Collections from Brazil Data Cube Catalog by Brazil Data Cube
  
• Using Python to Access Image Collections Data (Jupyter notebook) by Brazil Data Cube
  

Tools & Applications

• cube-builder-aws - Application to generate data cubes on AWS environment. by Brazil Data Cube
  
• rstac - R library to query and download Image Collections from Brazil Data Cube Catalog on Amazon S3 by Brazil Data Cube
  

Publications

• Building Earth Observation Data Cubes on AWS by Ferreira, K R; Queiroz, G R; Marujo, R F B; Costa, R W. 
  
• Earth Observation Data Cubes for Brazil: Requirements, Methodology and Products. by K. R. Ferreira, et al.
  
• Using Remote Sensing Images and Cloud Services on AWS to Improve Land Use and Cover Monitoring by K. R. Ferreira, et al.
  

GEOS-Chem Input Data

Tutorials

• GCHP Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Classic Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Input Data on AWS cloud by GEOS-Chem Support Team
  
• Integrated Methane Inversion (IMI) Quickstart Guide by Daniel Varon et al.
  

Publications

• Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model by Jiawei Zhuang et al.
  
• Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model by Jiawei Zhuang et al.
  
• Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) by Randall V. Martin et al.
  

GEOS-Chem Nested Input Data

Tutorials

• GCHP Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Classic Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem input data on AWS cloud by GEOS-Chem Support Team
  
• GEOS-Chem nested input data by GEOS-Chem Support Team
  

Tools & Applications

• Integrated Methane Inversion by Daniel Varon et al.
  

Publications

• Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model by Jiawei Zhuang et al.
  
• Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model by Jiawei Zhuang et al.
  

Global Database of Events, Language and Tone (GDELT)

Tutorials

• Analysing Brexit Coverage In The Media Over Time by Mark Chopping
  
• Bootstrapping GeoMesa HBase on AWS S3 by Commonwealth Computer Research, Inc.
  
• Creating PySpark DataFrame from CSV in AWS S3 in EMR by Jake Chen
  
• Exploring GDELT with Athena by Julien Simon
  
• How to partition your geospatial data lake for analysis with Amazon Redshift by Jeff DeMuth, Luke Wells, and Nemanja Boric
  
• Running R on Amazon Athena by Gopal Wunnava
  

Tools & Applications

• Globe Events by thermobook
  

ICGC on AWS

Tutorials

• AWS Pancancer Workflow Launcher by Solomon Shorser
  

Publications

• Analyses of non-coding somatic drivers in 2,693 cancer whole genomes by Rheinbay et al (2020)
  
• Genomic basis of RNA alterations in cancer by PCAWG Transcriptome Core Group et al. (2020)
  
• Pan-cancer analysis of whole genomes by The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium (2020)
  
• Patterns of somatic structural variation in human cancer genomes by Li et al. (2020)
  
• The evolutionary history of 2,658 cancers by Gerstung et al (2020)
  
• The repertoire of mutational signatures in human cancer by Alexandrov et al (2020)
  

Logan Unitigs and Contigs of the Sequence Read Archive (SRA) on AWS

Tutorials

• Downloading unitigs of several accessions by Rayan Chikhi
  
• Downloading, mapping many contigs to a gene of interest by Rayan Chikhi
  
• Search for sequences inside unitigs or contigs by Rayan Chikhi
  

Tools & Applications

• f2sz by Anton Korobeynikov
  
• Logan Search by Pierre Peterlongo
  
• Minia 3 by Rayan Chikhi
  
• Open Virome by Artem Babaian
  

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.
  

NOAA National Water Model CONUS Retrospective Dataset

Tutorials

• Explore Repository of Tutorials on National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight
  
• Explore the National Water Model V2.0 Retrospective in Zarr by Rich Signell
  
• Explore the National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight, Ishita Srivastava, Rich Signell
  
• Processing the 250 TB NWM dataset with Coiled, Dask, and Xarray by Sarah Johnson (Coiled)
  

Publications

• NOAA's National Water Model: Advancing Operational Hydrology Through Continental-scale Modeling. by Brian Cosgrove, David Gochis, Trey Flowers, Aubrey Dugger, Fred Ogden, Tom Graziano, Ed Clark, et al; 2024
  
• On Strictly Enforced Mass Conservation Constraints for Modeling the Rainfall-Runoff Process by Jonathan M. Frame, Frederik Kratzert, Hoshin V. Gupta, Paul Ullrich and Grey S. Nearing
  
• Simulating storm surge and compound flooding events with a creek-to-ocean model: Importance of baroclinic effects by Fei Ye, et al.
  

OpenAQ

Tutorials

• Accessing data from the OpenAQ archive by OpenAQ
  Amazon S3
• OpenaQ direct file access ObservableHQ notebook by OpenAQ
  Amazon S3
• Querying with AWS Athena by OpenAQ
  Amazon Athena

Tools & Applications

• OpenAQ Aggregator by Kapil Sreedharan
  
• ropenaq R package by Maëlle Salmon
  
• Smokey: Air Quality Bot by Amrit Sharma
  

Publications

• Enabling rapid COVID-19 and air pollution analysis across the globe with OpenAQ and AWS by Christa Hasenkopf
  

OpenAerialMap on AWS

Tutorials

• Displaying OpenAerialMap Imagery in Simple GIS Client by Simple GIS Software
  
• How to Segment Buildings on Drone Imagery with Fast.ai & Cloud-Native GeoData Tools by Dave Luo
  
• OAM User Guide by Humanitarian OpenStreetMap Team
  
• Use deep learning to assess palm tree health by Julia Lenhardt
  

Tools & Applications

• New OpenAerialMap Browser by Kontur
  
• OpenAerialMap API for metadata about available images and map layers. by Humanitarian OpenStreetMap Team
  
• OpenAerialMap Broswer for exploring and accessing imagery by Humanitarian OpenStreetMap Team
  

Publications

• Analysing the use of OpenAerialMap images for OpenStreetMap edits. by Mandourah, Hochmair
  
• Mapping a response: Using satellite images to aid humanitarian action by ALNAP
  
• OpenAerialMap: A Distributed Commons for Searching and Hosting Free Imagery by Kate Chapman, Humanitarian OpenStreetMap Team
  

Scottish Public Sector LiDAR Dataset

Tutorials

• LiDAR Tutorial using QGIS by Michal Michalski
  
• LiDAR Tutorial using R by Michal Michalski
  

Tools & Applications

• Scottish Remote Sensing Portal by Scottish Government and Joint Nature Conservation Committee (JNCC)
  

Publications

• Large area archaeological survey in the age of big data and machine learning by Dave Cowley, George Geddes, Łukasz Banaszek, Kirsty Millican and Iris Kramer
  
• Making LiGHT Work of Large Area Survey? Developing Approaches to Rapid Archaeological Mapping and the Creation of Systematic National-scaled Heritage Data by Dave Cowley, Łukasz Banaszek, George Geddes, Angela Gannon, Mike Middleton and Kirsty Millican
  
• New light on medieval settlement in lowland Scotland by Dave Cowley and Piers Dixon
  
• Towards National Archaeological Mapping. Assessing Source Data and Methodology - A Case Study from Scotland by Łukasz Banaszek, Dave Cowley and Mike Middleton
  

nuPlan

Tutorials

• nuPlan Advacned Model Training by Motional
  
  
• nuPlan Framework by Motional
  
  
• nuPlan Planner Tutorial by Motional
  
  
• nuPlan Scenario Visualization by Motional
  
  
• nuPlan Sensor Data Tutorial by Motional
  
  

Tools & Applications

• nuPlan devkit by Motional
  

Publications

• NuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles by Holger Caesar, Juraj Kabzan, Kok Seang Tan, Whye Kit Fong, Eric Wolff, Alex Lang, Luke Fletcher, Oscar Beijbom, Sammy Omari
  

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
  

Argoverse

Tutorials

• Argoverse 2 API by Argoverse Authors
  

Tools & Applications

• conda-forge package for `av2` by Argoverse Authors
  
• PyPi package for `av2` by Argoverse Authors
  

Publications

• Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting by Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, James Hays
  
• Argoverse: 3D Tracking and Forecasting With Rich Maps by Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, James Hays
  
• Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection by John Lambert, James Hays
  

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
  

Capella Space Synthetic Aperture Radar (SAR) Open Dataset

Tutorials

• Scaling GEO Images in QGIS by Capella Space
  

Tools & Applications

• Python SDK for api.capellaspace.com by Capella Space
  
• Single Look Complex data reader for Capella SLC images - python module to convert Capella SLC data into an amplitude image. by Capella Space
  

Publications

• Analyzing LiDAR and SAR data with Capella Space and TileDB by Stavros Papadopoulos
  
• Open SAR data and scalable analytics by Norman Barker
  
• Radar Generalized Image Quality Equation Applied to Capella Open Dataset by Wade Schwartzkopf, Jason Brown, Gordon Farquharson, Craig Stringham, Michael Duersch, Jordan Heemskerk
  

Clinical Proteomic Tumor Analysis Consortium 3 (CPTAC-3)

Tools & Applications

• Cancer Genomics Cloud by Seven Bridges
  
• CPTAC Data Portal by National Cancer Institute
  
• Genomic Data Commons by National Cancer Institute
  
• Proteomic Data Commons by National Cancer Institute
  

Publications

• Evaluation of NCI-7 Cell Line Panel as a Reference Material for Clinical Proteomics by Clark DJ, Hu Y, Bocik W, Chen L, Schnaubelt M, Roberts R, Shah P, Whiteley G, Zhang H
  
• Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma by Clark DJ, Dhanasekaran SM, Petralia F, Pan J, Song X, Hu Y, da Veiga Leprevost F, Reva B, Lih TM, Chang HY, Ma W, Huang C, Ricketts CJ, Chen L1, Krek A, Li Y, Rykunov D, Li QK, Chen LS, Ozbek U, Vasaikar S, Wu Y, Yoo S, Chowdhury S, Wyczalkowski MA, Ji J, Schnaubelt M, Kong A, Sethuraman S, Avtonomov DM, Ao M, Colaprico A, Cao S, Cho KC, Kalayci S, Ma S, Liu W, Ruggles K, Calinawan A, Gümüş ZH, Geizler D, Kawaler E, Teo GC, Wen B, Zhang Y, Keegan S, Li K, Chen F, Edwards N, Pierorazio PM, Chen XS, Pavlovich CP, Hakimi AA, Brominski G, Hsieh JJ, Antczak A, Omelchenko T, Lubinski J, Wiznerowicz M, Linehan WM, Kinsinger CR, Thiagarajan M, Boja ES, Mesri M, Hiltke T, Robles AI, Rodriguez H, Qian J, Fenyö D, Zhang B, Ding L, Schadt E, Chinnaiyan AM, Zhang Z, Omenn GS, Cieslik M, Chan DW, Nesvizhskii AI, Wang P, Zhang H; Clinical Proteomic Tumor Analysis Consortium
  

DCR Office of Resilience Planning – Public File Repository

Tools & Applications

• ArcGIS REST Services Directory by Virginia Department of Conservation and Recreation
  
• Virginia Coastal Resilience Web Explorer by Virginia Department of Conservation and Recreation
  

Publications

• Appendix F Data Product List by Virginia Department of Conservation and Recreation
  
• Pluvial Model Use Case by Virginia Department of Conservation and Recreation
  
• Pluvial Modeling Final Report by Virginia Department of Conservation and Recreation
  
• Virginia Coastal Resilience Master Plan, Phase One December 2021 by Virginia Department of Conservation and Recreation
  

DE Africa Waterbodies Monitoring Service

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  

Publications

• Waterbodies Monitoring Service by Digital Earth Africa Contributors
  

EarthDEM

Tutorials

• PGC Dynamic STAC API Tutorial by Polar Geospatial Center
  

Tools & Applications

• GLARS Data Viewer by Great Lakes Alliance for Remote Sensing
  
• NASA CSDA SmallSat Data Explorer by NASA Commercial Smallsat Acquisition Program
  

Publications

• Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions by Myoung-Jong Noh, Ian M. Howat
  
• Multi-Source EO for Dynamic Wetland Mapping and Monitoring in the Great Lakes Basin by Michael J. Battaglia, Sarah Banks, Amir Behnamian, Laura Bourgeau-Chavez, Brian Brisco, Jennifer Corcoran, Zhaohua Chen, Brian Huberty, James Klassen, Joseph Knight, Paul Morin, Kevin Murnaghan, Keith Pelletier, Lori White
  
• The surface extraction from TIN based search-space minimization (SETSM) algorithm by Myoung-Jong Noh, Ian M. Howat
  

GeoJSON Files for Geo-TIDE

Tutorials

• Geo-TIDE access and getting-started exercises by Danika Eamer and Helena De Figueiredo Valente
  Amazon S3
• Which logistics facilities should a return-to-base carrier target for fleet electrification and chargers? by Danika Eamer
  Amazon S3
• Which routes should a dry-van carrier prioritize for investment in battery electric or hydrogen trucks? by Danika Eamer and Helena De Figueiredo Valente
  Amazon S3

Tools & Applications

• MCSC Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE) by Danika Eamer, Brilant Kasami, Brooke Bao, and MIT Climate & Sustainability Consortium
  

Publications

• Geospatial Trucking Industry Decarbonization Explorer (Geo-TIDE): Technical Guide and Methodology by Eamer, D., Borrero, M., Bao, B., Kasami, B., and De Figueiredo Valente, H.
  
• Thought Experiment to Explore Potential Savings from Pooled Charging Infrastructure Investment by Eamer, D. and Borrero, M.
  

HYCOM-OceanTrack Integrated HYCOM Eulerian Fields and Lagrangian Trajectories Dataset

Tutorials

• HYCOM Eulerian tutorial by Shane Elipot
  
  
• HYCOM Lagrangian tutorial by Shane Elipot
  
  

Tools & Applications

• clouddrift by Shane Elipot
  

Publications

• An integrated dataset of near-surface Eulerian fields and Lagrangian trajectories from an ocean model by Shane Elipot
  
• HYCOM-OceanTrack: HYCOM-OceanTrack: Integrated HYCOM Eulerian Fields and Lagrangian Trajectories Dataset (v1.0) by Shane Elipot
  
• Near-Surface Oceanic Kinetic Energy Distributions From Drifter Observations and Numerical Models by Brian K. Arbic
  

HYbrid Coordinate Ocean Model Global Ocean Forecast System Reanalysis

Tutorials

• HYCOM-examples repository by Dr. Alexandra Bozec
  

Tools & Applications

• HYCOM-tools repository by Dr. Alan Wallcraft
  

Publications

• GOFS 3.1 Validation Test Report by E. Joseph Metzger, Naval Research Laboratory
  
• Operational multivariate ocean data assimilation by James A. Cummings
  
• Validation Test Report for the Improved Synthetic Ocean Profile (ISOP) System, Part I: Synthetic Profile Methods and Algorithm by NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV
  
• Variational Data Assimilation for the Global Ocean by James A. Cummings, Ole Martin Smedstad
  

IBL Behavioral Data on AWS

Tutorials

• Download the public data via ONE by IBL Data Architecture Working Group
  
• Exploring the IBL behavior data by IBL Data Architecture Working Group
  
• Find data associated with a release or publication by IBL Data Architecture Working Group
  
• Loading Data by IBL Data Architecture Working Group
  

Tools & Applications

• ONE-api on pypi.python.org - python API to query and download neurophysiology data by IBL Data Architecture Working Group
  

Publications

• Standardized and reproducible measurement of decision-making in mice by International Brain Laboratory et al.
  

IBL Neuropixels Reproducible Ephys Data on AWS

Tutorials

• Download the public datasets by IBL Data Architecture Working Group
  
• Find data associated with a release or publication by IBL Data Architecture Working Group
  
• Loading Data by IBL Data Architecture Working Group
  

Tools & Applications

• Data Explorer by IBL Data Architecture Working Group
  
• ONE-api on pypi.python.org - python API to query and download neurophysiology data by IBL Data Architecture Working Group
  

Publications

• Reproducibility of in-vivo electrophysiological measurements in mice by International Brain Laboratory et al.
  

NOAA Rapid Refresh Forecast System (RRFS) [Prototype]

Publications

• A Limited Area Modeling Capability for the Finite-Volume Cubed-Sphere (FV3) Dynamical Core and Comparison With a Global Two-Way Nest by Black, T. L., J. A. Abeles, B. T. Blake, D. Jovic, E. Rogers, X. Zhang, E. A. Aligo, L. C. Dawson, Y. Lin, E. Strobach, P. C. Shafran, and J. R. Carley
  
• Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study by Banos, I. H., W. D. Mayfield, G. Ge, L. F. Sapucci, J. R. Carley, and L. Nance
  
• Community modeling framework underpinning the RRFS - The UFS Short Range Weather Application by UFS Community
  
• Highlights from a Year of Continued Development of the Rapid Refresh Forecast System (RRFS) by Carley J. R. and C. R. Alexander
  
• Prototype UFS-Based Rapid Refresh Forecast System (RRFS) on the Cloud by Holt, C., D. Abdi, J. A. Abeles, J. R. Carley, C. W. Harrop, R. Panda, S. Trahan, and C. R. Alexander
  
• Status and Opportunities with the Rapid Refresh Forecast System by Carley J. R. and C. R. Alexander
  

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)
  

New York City Taxi and Limousine Commission (TLC) Trip Record Data

Tutorials

• Build a Real-time Stream Processing Pipeline with Apache Flink on AWS by Steffen Hausmann
  
• Build and run streaming applications with Apache Flink and Amazon Kinesis Data Analytics for Java Applications by Steffen Hausmann
  
• Deep Dive on Flink & Spark on Amazon EMR by Keith Steward
  
• Exploring data with Python and Amazon S3 Select by Manav Sehgal
  
• Machine learning on distributed Dask using Amazon SageMaker and AWS Fargate by Ram Vittal
  
• Optimizing data for analysis with Amazon Athena and AWS Glue by Manav Sehgal
  

Open Bioinformatics Reference Data for Galaxy

Tutorials

• Using Open Bio Ref Data with Galaxy and Bioconductor by Enis Afgan, Alexandru Mahmoud, Nuwan Goonasekera
  

Tools & Applications

• Bioconductor by Bioconductor Project
  
• Galaxy by Galaxy Project
  

Publications

• Accessible, curated metagenomic data through ExperimentHub by Edoardo Pasolli, Lucas Schiffer, Paolo Manghi, Audrey Renson, Valerie Obenchain, Duy Tin Truong, Francesco Beghini, Faizan Malik, Marcel Ramos, Jennifer B Dowd, Curtis Huttenhower, Martin Morgan, Nicola Segata, and Levi Waldron
  
• TCGA Workflow: Analyze cancer genomics and epigenomics data using Bioconductor packages by Tiago C. Silva, Antonio Colaprico, Catharina Olsen, Fulvio D'Angelo, Gianluca Bontempi, Michele Ceccarelli, Houtan Noushmehr
  
• Wrangling Galaxy's reference data by Daniel Blankenberg, James E. Johnson, The Galaxy Team, James Taylor, Anton Nekrutenko
  

OpenEEW

Tutorials

• Analyzing a magnitude 7.2 earthquake in Mexico using Python by Michael Allman
  
• Detect earthquakes in Chile in real time — from anywhere in the world by Michael Allman
  

Tools & Applications

• OpenEEW library for Python by Grillo
  

Publications

• Evaluation of the Grillo sensor, a low-cost accelerometer for IoT-based Real-time seismology by Vaclav Matej Kuna, Diego Melgar, Andres Meira
  
• How Grillo Built a Low-Cost Earthquake Early Warning System on AWS by Marcia Villalba
  
• NepalEEW: Testing the feasibility of an Earthquake Early Warning System in Nepal by Vaclav M. Kuna
  

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)
  

PoroTomo

Tutorials

• PoroTomo DAS Data Processing Tutorial for hdf5 Files by Nicole Taverna and Michael Rossol
  
• PoroTomo DAS Data Processing Tutorial for hdf5 Files via HSDS and h5pyd by Michael Rossol and Nicole Taverna
  
• PoroTomo DAS Data Processing Tutorial for SEG-Y Files by Nicole Taverna and Ross Ring-Jarvi
  

Publications

• DAS and DTS at Brady Hot Springs: Observations about Coupling and Coupled Interpretations by Douglas E. Miller, Thomas Coleman, Xiangfang Zeng, Jeremy R. Patterson , Elena C. Reinnisch, Michael A. Cardiff, Herbert F. Wang, Dante Fratta, Whitney Trainor-Guitton, Clifford H. Thurber, Michelle ROBERTSON, Kurt FEIGL, and The PoroTomo Team
  
• Ground motion response to an ML 4.3 earthquake using co-located distributed acoustic sensing and seismometer arrays by Herbert F Wang, Xiangfang Zeng, Douglas E Miller, Dante Fratta, Kurt L Feigl, Clifford H Thurber, Robert J Mellors
  
• PoroTomo Final Technical Report: Poroelastic Tomography by Adjoint Inverse Modeling of Data from Seismology, Geodesy, and Hydrology by Kurt L. Feigl, Lesley M. Parker, and the PoroTomo Team
  

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
  

Sentinel-1 Monthly Mosaic

Tools & Applications

• Digital Earth Africa Explorer by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Serratus: Ultra-deep Search for Novel Viruses - Versioned Data Release

Tools & Applications

• Serratus Explorer by Serratus Team
  
• Tantalus: An R Package for exploration of Serratus data by Serratus Team
  

Publications

• coronaSPAdes. From biosynthetic gene clusters to RNA viral assemblies by Meleshko D., Hajirasouliha I., and Korobeynikov A. (2021)
  
• Diversification of mammalian deltaviruses by host shifting by Bergner L.M., Orton R.J., et al (2021)
  
• Petabase-scale sequence alignment catalyses viral discovery by Edgar R., Taylor J., Lin V., et al (2021)
  
• Ribovirus classification by a polymerase barcode sequence by Babaian A., and Edgar R. (2021)
  

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
  

The MIT Supercloud Dataset

Tutorials

• Generating the labelled dataset by Matthew Weiss
  
  Amazon SageMaker Studio Lab
• Introduction to the MIT Supercloud Dataset by Matthew Weiss
  
  Amazon SageMaker Studio Lab

Tools & Applications

• The MIT Supercloud Workload Classification Challenge by Benny J. Tang, Qiqi Chen, Matthew L. Weiss, et. al.
  

Publications

• AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications by Baolin Li, Rohin Arora, Siddharth Samsi, et. al.
  
• The MIT Supercloud Dataset by Siddharth Samsi, Matthew Weiss, David Bestor, et. al.
  
• The MIT Supercloud Workload Classification Challenge by Benny J. Tang, Qiqi Chen, Matthew L. Weiss, et. al.
  

2010 Census Production Settings Demographic and Housing Characteristics (DHC) Demonstration Noisy Measurement File

Publications

• 2010 Census Summary File 1 Technical Documentation by U.S. Census Bureau
  
• Computing Confidence Intervals Using the 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03) by Cumings-Menon, R., Hawes, M., and Spence, M. (2023) "(Jupyter notebook explaining how to calculate estimates and confidence intervals from the noisy measurement files)"
  
• DAS 2020 Redistricting Production Code Release by U.S. Census Bureau (Public GitHub repository for the 2020 Census DAS, vintaged as of the commit used to produce the official production run of the Redistricting product. The zCDP framework NMFs were generated in a for-internal-use-only pickled (https://docs.python.org/3/library/pickle.html; https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.SparkContext.pickleFile.html) form as a byproduct of the use of this code. A stand-alone script was developed and used to convert these internal-use NMFs into the Parquet format used in this product (that script is not yet publicly available.)
  
• Geographic Spines in the 2020 Census Disclosure Avoidance System by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  
• The 2020 Census Disclosure Avoidance System Topdown Algorithm by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  

2020 Census Demographic and Housing Characteristics (DHC) Noisy Measurement File

Publications

• 2020 Census Demographic and Housing Characteristics File Technical Documentation by U.S. Census Bureau. Note that the zCDP framework NMFs were generated in a for-internal-use-only pickled (https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.SparkContext.pickleFile.html) form as a byproduct of the use of this code. A stand-alone script was developed and used to convert these internal-use NMFs into the Parquet format used in this product (that script is not yet publicly available).
  
• Computing Confidence Intervals Using the 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03) (Jupyter notebook explaining how to calculate estimates and confidence intervals from the noisy measurement files) by Cumings-Menon, R., Hawes, M., and Spence, M. (2023)
  
• DAS 2020 DHC Production Code Release by U.S. Census Bureau
  
• Geographic Spines in the 2020 Census Disclosure Avoidance System by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  
• The 2020 Census Disclosure Avoidance System Topdown Algorithm by Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Heineck, M., Heiss, C., Johns, R., Kifer, D., Leclerc, P., Machanavajjhala, A., Moran, B., Sexton, W., Spence, M., Zhuravlev, P.
  

3000 Rice Genomes Project

Tools & Applications

• RiceGalaxy by International Rice Research Institute
  

Publications

• Identification and Allele Combination Analysis of Rice Grain Shape-Related Genes by Genome-Wide Association Study by Meng B et al (2022)
  
• Rice Galaxy: an open resource for plant science by Juanillas V et al (2019)
  
• Structural variants in 3000 rice genomes by Fuentes RR et al (2019)
  
• Tracking the origin of two genetic components associated with transposable element bursts in domesticated rice by Chen J 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
  

Argo marine floats data and metadata from Global Data Assembly Centre (Argo GDAC)

Tutorials

• Outreach activities by Argo program
  
• Outreach ressources for Argo floats by Euro-Argo ERIC
  

Tools & Applications

• Argo data selection by Euro-Argo ERIC
  
• Argo floats dashboard by Euro-Argo ERIC
  

Publications

• Argo data bibliography by Argo program
  

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
  

CAM6 Data Assimilation Research Testbed (DART) Reanalysis: Cloud-Optimized Dataset

Tutorials

• Analyzing large climate model ensembles in the cloud by Joe Hamman, NCAR
  

Tools & Applications

• Intake-ESM Catalog by Brian Bonnlander, NCAR
  
• Jupyter Notebook and other documentation and tools for DART Reanalysis on AWS by NCAR Science at Scale team
  
• Rendered (static) version of Jupyter Notebook by Brian Bonnlander, NCAR
  

Publications

• A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models by Raeder, K., Hoar, T.J., El Gharamti, M. et al (2021)
  

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.
  

CESM-HR

Tutorials

• CESM-HR Tutorial by Jaison Kurian
  

Tools & Applications

• CESM-HR Tools and Applications by Jaison Kurian
  

Publications

• An Unprecedented Set of High‐Resolution Earth System Simulations for Understanding Multiscale Interactions in Climate Variability and Change by Chang et al. (2020)
  
• High-resolution modelling identifies the Bering Strait’s role in amplified Arctic warming by Xu et al. (2024)
  
• Uncertain future of sustainable fisheries environment in eastern boundary upwelling zones under climate change by Chang et al. (2023)
  

CMAS Data Warehouse

Tutorials

• AMET Documentation by USEPA
  
• CMAQ Installation and Benchmarking Tutorial by USEPA
  
• CMAQ on AWS HPC Workshop by CMAS Center, U.S. EPA Office of Research and Development and AWS Workshop Studio
  AWS ParallelCluster
• Documentation for CMAQ on AWS ParallelCluster by CMAS Center
  AWS ParallelCluster
• EQUATES Benchmark by Liz Adams
  

Caenorabditis Diversity Natural Resource

Tutorials

• Data Releases - C. briggsae by Erik Andersen
  
• Data Releases - C. elegans by Erik Andersen
  
• Data Releases - C. tropicalis by Erik Andersen
  
• FAQ - AWS API by Erik Andersen
  

Publications

• CaeNDR, the Ceanorhabditis Natural Diversity Resource by Crombie TA, McKeown R, Moya ND, Evans KS, Widmayer SJ, LaGrassa V, et al.
  

CoMMpass from the Multiple Myeloma Research Foundation

Tools & Applications

• Genomic Data Commons by National Cancer Institute
  

Publications

• "Identification of Initiating Trunk Mutations and Distinct Molecular Subtypes: An Interim Analysis of the Mmrf Commpass Study" by Jonathan J Keats, PhD, Gil Speyer, Legendre Christophe, Christofferson Austin, Kristi Stephenson, BS, Ahmet Kurdoglu, Megan Russell, Aldrich Jessica, Cuyugan Lori, Jonathan Adkins, Jackie McDonald, Adrienne Helland, Alex Blanski, Meghan Hodges, Dan Rohrer, Sundar Jagannath, MD, David Siegel, MD PhD, Ravi Vij, MD MBA, Gregory Orloff, MD, Todd Zimmerman, MD, Ruben Niesvizky, MD, Darla Liles, MD, Joseph W. Fay, Jeffrey L. Wolf, MD PhD, Robert M. Rifkin, Norma C Gutierrez, The MMRF CoMMpass Network, Jen Toups, Mary Derome, MS, Winnie Liang, PhD, Seunchan Kim, Daniel Auclair, PhD, Pamela G. Kidd, MD, Scott Jewell, PhD, John David Carpten, PhD, Sagar Lonial, MD
  
• "Interim Analysis Of The MMRF CoMMpass Trial: a Longitudinal Study In Multiple Myeloma Relating Clinical Outcomes To Genomic and Immunophenotypic Profiles" by Keats JJ, Craig DW, Liang W, Venkata Y, Kurdoglu A, Aldrich J, Auclair D, Allen K, Harrison B, Jewell S, Kidd PG, Correll M, Jagannath S, Siegel DS, Vij R, Orloff G, Zimmerman TM, MMRF CoMMpass Network, Capone W, Carpten J, Lonial S.
  
• "Interim Analysis of the Mmrf Commpass Trial: Identification of Novel Rearrangements Potentially Associated with Disease Initiation and Progression" by Sagar Lonial, MD, Venkata D Yellapantula, Winnie Liang, PhD, Ahmet Kurdoglu, BS, Jessica Aldrich, MSc, Christophe M. Legendre, MD, Kristi Stephenson, Jonathan Adkins, Jackie McDonald, Adrienne Helland, Megan Russell, Austin Christofferson, Lori Cuyugan, Dan Rohrer, Alex Blanski, Meghan Hodges, Mmrf CoMMpass Network, Mary Derome, Daniel Auclair, PhD, Pamela G. Kidd, MD, Scott Jewell, PhD, David Craig, PhD, John Carpten, PhD, Jonathan J. Keats, PhD
  
• "Molecular Predictors of Outcome and Drug Response in Multiple Myeloma: An Interim Analysis of the Mmrf CoMMpass Study" by Jonathan J Keats, PhD, Gil Speyer, Austin Christofferson, Christophe Legendre, PhD, Jessica Aldrich, Megan Russell, Lori Cuyugan, Jonathan Adkins, Alex Blanski, Meghan Hodges, Dan Rohrer, Sundar Jagannath, MD, Ravi Vij, MD, Gregory Orloff, MD, Todd Zimmerman, MD, Ruben Niesvizky, MD, Darla Liles, MD, Joseph W. Fay, Jeffrey L. Wolf, MD, Robert M Rifkin, Norma C Gutierrez, MD PhD, Mmrf CoMMpass Network, Jennifer Yesil, MS, Mary Derome, MS, Seungchan Kim, PhD, Winnie Liang, PhD, Pamela G. Kidd, MD, Scott Jewell, PhD, John David Carpten, PhD, Daniel Auclair, PhD, Sagar Lonial, MD FACP
  

Community Earth System Model Large Ensemble (CESM LENS)

Tutorials

• Analyzing large climate model ensembles in the cloud by Joe Hamman, NCAR
  

Tools & Applications

• Jupyter Notebook and other documentation and tools for CESM LENS on AWS by NCAR Science at Scale team
  
• Rendered (static) version of Jupyter Notebook by Anderson Banihirwe, NCAR
  
• Urban Climate Explorer by Zhonghua Zheng
  

Publications

• The Community Earth System Model (CESM) Large Ensemble Project: A Community Resource for Studying Climate Change in the Presence of Internal Climate Variability by Kay et al. (2015), Bull. AMS, 96, 1333-1349
  

Daylight Map Distribution of OpenStreetMap

Tutorials

• Daylight Earth Tables by Daylight Contributors
  Amazon Athena
• Loading the Daylight Map Distribution OpenStreetMap Features into AWS Athena by Jennings Anderson
  Amazon Athena
• Querying the Daylight OpenStreetMap Distribution with Amazon Athena by Jennings Anderson and Mike Jeffe
  Amazon Athena

Publications

• Daylight Earth Tables (NACIS 2022) by Jennings Anderson, Jonah Adkins, Jacob Wasserman
  
• Increasing OpenStreetMap Data Accessibility with the Analysis-Ready Daylight Distribution of OpenStreetMap: A Demonstration of Cloud-Based Assessments of Global Building Completeness by Jennings Anderson and Timmera Whaley Omidire
  

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
  

End-Use Load Profiles for the U.S. Building Stock

Tutorials

• BuildStockQuery: a python library designed to simplify and streamline the process of querying datasets generated by ResStock and ComStock by National Renewable Energy Laboratory (NREL)
  
• Tutorials, how-to guides, explanations, and reference material for users of the ComStock dataset. by National Renewable Energy Laboratory (NREL)
  

Tools & Applications

• Web-Based Data Viewer for Commercial Load Profiles by National Renewable Energy Laboratory (NREL)
  
• Web-Based Data Viewer for Residential Load Profiles by National Renewable Energy Laboratory (NREL)
  

Publications

• End-Use Load Profiles for the U.S. Building Stock by E. Wilson, A. Parker, A. Fontanini, et al.
  

Global 30m Height Above Nearest Drainage (HAND)

Tutorials

• Generate your own HAND data in Python by Alaska Satellite Facility
  
  
• Search the GLO-30 HAND Catalog in Python by Alaska Satellite Facility
  
  

Tools & Applications

• GLO-30 HAND ImageServer by Alaska Satellite Facility
  
• GLO-30 HAND Webmap by Alaska Satellite Facility
  

Publications

• AGU 2022: A New Global 30m HAND Dataset to Support Hydrological Services and Applications by Joseph H. Kennedy, et al.
  

Global Seasonal Sentinel-1 Interferometric Coherence and Backscatter Data Set

Tutorials

• Jupyter Notebook to access and visualize global mosaics of the global data set by Josef Kellndorfer
  
• Jupyter Notebook to access and visualize sub regions of the global data set by Josef Kellndorfer
  

Publications

• Generating Global Temporal Coherence Maps from one year of Sentinel-1 C-band data, ESA Fringe 2021 Poster (Youtube) by Oliver Cartus, Josef Kellndorfer, Shadi Oveisgharan, Batu Osmanoglu, Paul Rosen, Urs Wegmüller
  
• Global seasonal Sentinel-1 interferometric coherence and backscatter data set by Josef Kellndorfer, Oliver Cartus, Marco Lavalle, Christophe Magnard, Pietro Milillo, Shadi Oveisgharan, Batu Osmanoglu, Paul A. Rosen, Urs Wegmüller
  
• Webinar: The new era of SAR Time Series Analysis and Visualization: Cloud meets Big SAR Data. IEEE GRSS Bay Area Chapter (Dec. 3rd 2021) by Josef Kellndorfer
  

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)
  

JMA Himawari-8/9

Publications

• Himawari-8 Advanced Himawari Imager Data on AWS (pdf file) by NOAA NESDIS
  
• Himawari-8 on AWS (pdf file) by ASDI
  
• Himawari-8: Enabling access to key weather data by Manan Dalal, Jena Kent
  
• Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
  
• Introduction of Himawari-8/9 (pdf file) by JMA
  

KyFromAbove on AWS

Tutorials

• KyFromAbove Bulk Download Area of Interest from Tile Index by Ian Horn
  
  Amazon S3
• KyFromAbove County Bulk Download by Ian Horn
  
  Amazon S3

Publications

• A New View of Kentucky's Cities by Kent Anness
  
• KyFromAbove is democratizing key data in Kentucky by Matt Collins
  
• KyTopo! Kentucky's New Topographic Map Series by Kent Anness
  

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
  

NASA / USGS Lunar Orbiter Laser Altimeter Cloud Optimized Point Cloud

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• Point Data Abstraction Library (PDAL) by PDAL Contributors
  
• PySTAC Client by PySTAC-Client Contributors
  

NIH NCBI Sequence Read Archive (SRA) on AWS

Tutorials

• Access SRA data using Amazon Web Services (AWS) by NCBI SRA
  
• Get started with the SRA and Amazon Athena by NCBI SRA
  
• SRA in the Cloud by NCBI SRA
  

Tools & Applications

• SRA Toolkit by NCBI SRA
  

Publications

• The Sequence Read Archive by Leinonen et al (2011)
  

NOAA National Air Quality Forecast Capability (NAQFC) Regional Model Guidance

Publications

• An empirically derived emission algorithm for wind-blown dust (J.Geophys. Res., 115, D16212) by Draxler, R. R., P. Ginoux, and A. F. Stein
  
• Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 (2022, Geosci. Model Dev., 15, 3281–3313) by Campbell, P.C., and Coauthors
  
• Development of the next-generation air quality prediction system in the UFS framework: Enhancing predictability of wildfire air quality impacts (2024)(Bull. Amer. Meteor. Soc. In review) by Huang, J.P., I. Stajner, R. Montuoro, F. Yang, K. Wang, H.-C. Huang, C.-H. Jeon, B. Curtis, J. McQueen, H. Liu, B. Baker, D. Tong , Y. Tang, P. Campbell, G. Grell, G. Frost, R. Schwantes, S. Wang, S. Kondragunta, F. Li, and Y. Jung
  
• Improving NOAA NAQFC PM2.5 predictions with a bias correction approach (2017, Wea. and Forecasting, 32(2), 407–421) by Huang, J., McQueen, J., Wilczak, J., Djalalova, I., Stajner, I., Shafran, P., Allured, D., Lee, P., Pan, L., Tong, D., Huang, H.-C., DiMego, G., Upadhayay, S., & Delle Monache, L
  
• Using VIIRS fire radiative power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system (Proc. 2017 IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS0),Fort Worth, TX, IEEE, 2806–2808) by Ahmadov, R., and Coauthors
  

New Zealand Coastal Elevation

Tutorials

• Browsing the NZ elevation buckets by Toitū Te Whenua Land Information New Zealand
  
• Elevation survey naming and path conventions by Toitū Te Whenua Land Information New Zealand
  

Tools & Applications

• LINZ Basemaps by Toitū Te Whenua Land Information New Zealand
  
• LINZ Data Service by Toitū Te Whenua Land Information New Zealand
  
• LINZ Topographic Workflows - Bulk elevation data processing with Kubernetes and Argo Workflows by Toitū Te Whenua Land Information New Zealand
  

Normalized Difference Urban Index (NDUI)

Tutorials

• An example of using ndui data with AWS sagemaker tools by Yifang Wang
  Amazon EC2
• Automated extraction of urban built-up areas with NDUI using Python and Google Earth Engine by Yifang Wang
  Amazon EC2

Tools & Applications

• Global DMSP images Correction by Yifang Wang
  

Publications

• A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data by Qingling Zhang and Bhartendu Pandey and Keren C.Seto
  
• Building a Better Urban Picture:Combining Day and Night Remote Sensing Imagery by Qingling Zhang and Bin Li and David Thau & Rebecca Moore
  

Open-Meteo Weather API Database

Tutorials

• Accessing 80 Years Historical Weather Data from ERA5 by Open-Meteo
  
• Run Your Own Weather API by Open-Meteo
  

Tools & Applications

• Open-Meteo API documentation by Open-Meteo
  
• Open-Meteo API source-code by Open-Meteo
  

Publications

• Zippenfenig, P. (2023). Open-Meteo.com Weather API [Computer software] by Patrick Zippenfenig
  

OpenStreetMap on AWS

Tutorials

• Develop and Extract Value from Open Data by Daniel Bernao
  
• Querying OpenStreetMap Changesets with Amazon Athena by Jennings Anderson
  Amazon Athena
• Querying OpenStreetMap with Amazon Athena by Seth Fitzsimmons
  

Tools & Applications

• OSM+Athena (GitHub) by Development Seed
  
• PlanetUtils (GitHub): Scripts and a Docker container to maintain your own OpenStreetMap planet by Interline Technologies
  

Overture Maps Foundation Open Map Data

Tutorials

• Accessing Overture Maps Data by Overture Maps Foundation
  
• Working With Overture Data: A Step-by-Step Guide by Jennings Anderson
  Amazon Athena

Publications

• Building Heights: From open USGS lidar to open Overture maps by Overture Maps Foundation
  
• Global Entity Reference System by Overture Maps Foundation
  
• Overture Data Schema by Overture Maps Foundation
  

Ozone Monitoring Instrument (OMI) / Aura NO2 Tropospheric Column Density

Tutorials

• Medium Post: COG Talk — Part 1: What’s new? by Vincent Sarago
  

Tools & Applications

• COG Application Programming Interface (API) by Development Seed
  
• COG metadata example  by Development Seed
  
• COG Viewer by Development Seed
  
• Rasterio (Python Library) for access to geospatial raster data by Mapbox
  

Prefeitura Municipal de São Paulo (PMSP) LiDAR Point Cloud

Tools & Applications

• Entwine by Hobu, Inc.
  
• Fusion by US Department of Agriculture - Forest Service
  
• LAStools by rapidlasso GmbH, GERMANY
  
• PDAL - Point Data Abstraction Library by PDAL Contributors
  

Publications

• Describing the Vertical Structure of Informal Settlements on the Basis of LiDAR Data – A Case Study for Favelas (Slums) in Sao Paulo City by S. C. L. Ribeiro, M. Jarzabek-Rychard, J. P. Cintra, H.-G. Maas
  

RACECAR Dataset

Tutorials

• RACECAR Tutorials - nuScenes by John Chrosniak
  
  
• RACECAR Tutorials - ROS2 Localization by Amar Kulkarni
  
• RACECAR Tutorials - ROS2 Visualization by Amar Kulkarni, Utkarsh Chirimar
  

Tools & Applications

• rosbag2nuscenes conversion library by John Chrosniak, Emory Ducote, John Link, Madhur Behl
  

Publications

• RACECAR--The Dataset for High-Speed Autonomous Racing by Amar Kulkarni, John Chrosniak, Emory Ducote, Florian Sauerbeck, Andrew Saba, Utkarsh Chirimar, John Link, Marcello Cellina, and Madhur Behl
  

SPARC: Datasets bridging the body and the brain

Tutorials

• Download public data, scaffolds and run computations by The SPARC Data and Resource Center
  
• Downloading large scale SPARC datasets by The SPARC Data and Resource Center
  
• Using sparc.client for data movement in SPARC by The SPARC Data and Resource Center
  

Tools & Applications

• OSPARC by Esra Neufeld
  
• SODA Tool by Bhavesh Patel
  
• The Pennsieve Data Management Platform by Joost Wagenaar
  
• The SPARC Portal by Peter Hunter, Maryann Martone, Esra Neufeld, Joost Wagenaar
  

Publications

• The SPARC DRC: Building a Resource for the Autonomic Nervous System Community by Osanlouy M, Bandrowski A, de Bono B, Brooks D, Cassara A, Christie R, Ebrahimi N, Gillespie T, Grethe J, Guercio L, Heal M, Lin M, Kuster N, Martone M, Neufeld E, Nickerson D, Soltani E, Tappan S, Wagenaar J, Zhuang K, Hunter P
  

SPARTAN Data

Tutorials

• Tutorial on using SPARTAN data on AWS by Haihui Zhu
  

Publications

• A Global-Scale Mineral Dust Equation by Xuan Liu, et al.
  
• Elemental Characterization of Ambient Particulate Matter for a Globally Distributed Monitoring Network: Methodology and Implications by Xuan Liu, et al.
  
• SPARTAN: A global network to evaluate and enhance satellite-based estimates of ground-level particulate matter for global health applications by Graydon Snider, et al.
  
• Variation in global chemical composition of PM2.5: emerging results from SPARTAN by Graydon Snider, et al.
  

Sea Around Us Global Fisheries Catch Data

Tutorials

• Tutorial for analyzing Sea Around Us Global Fisheries Catch Data using Jupyter Notebook by Shelumiel Ortiz
  

Tools & Applications

• Sea Around Us Global Fisheries Catch Data by Sea Around Us, CIC
  
• Sea Around Us Tools & Data by Sea Around Us
  

Publications

• Global Atlas of Marine Fisheries: A critical appraisal of catches and ecosystem impacts. Island Press, Washington D.C. (2016) by Pauly, D.; Zeller, D. (eds)
  
• List of the Sea Around Us publications by Sea Around Us
  

Sofar Spotter Archive

Tutorials

• Analyzing Spotter data with CloudDrift by Milan Curcic
  
• Exploring Bulk Variables from the Spotter Archive by Isabel A. Houghton
  
• Exploring Wave Spectra Variables from the Spotter Archive by Isabel A. Houghton
  

Publications

• Performance Characteristics of “Spotter,” a Newly Developed Real-Time Wave Measurement Buoy (2019) by K. Raghukumar, G. Chang, F. Spada, C. Jones, T. Janssen, A. Gans
  
• Performance Statistics of a Real-Time Pacific Ocean Weather Sensor Network (2021) by I. Houghton, P. Smit, D. Clark, C. Dunning, A. Fisher, N. Nidzieko, P. Chamberlain, T. Janssen
  

SondeHub Radiosonde Telemetry

Tutorials

• Loading example notebooks into SageMaker by Michaela Wheeler
  Amazon SageMaker
• Using Athena to read radiosonde data by Michaela Wheeler
  Amazon Athena
• Using pysondehub to read radiosonde data by Michaela Wheeler
  Amazon S3

Tools & Applications

• pysondehub by Sondehub
  

Publications

• STM32 Development Boards (literally) Falling From The Sky (How to submit data) by Mark Jessop & Michaela Wheeler
  

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.
  

Vermont Open Geospatial on AWS

Tutorials

• Imagery Program FAQs by Vermont Center for Geographic Information
  
• Lidar Program FAQs by Vermont Center for Geographic Information
  

Tools & Applications

• Elevation Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Imagery Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Landcover Page - Vermont Open Geodata Portal by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Elevation by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Imagery by Vermont Center for Geographic Information
  
• Vermont AWS S3 Open Data Bucket Browser - Landcover by Vermont Center for Geographic Information
  

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)
  

Basic Local Alignment Sequences Tool (BLAST) Databases

Tools & Applications

• BLAST on the Cloud with NCBI’s ElasticBLAST by Sixing Huang
  
• BLAST+ Docker by NCBI BLAST
  

Publications

• BLAST+: Architecture and Applications by Christiam Camacho 1 , George Coulouris, Vahram Avagyan, Ning Ma, Jason Papadopoulos, Kevin Bealer, Thomas L Madden
  
• Gapped BLAST and PSI-BLAST: A New Generation of Protein Database Search Programs by S F Altschul, T L Madden, A A Schäffer, J Zhang, Z Zhang, W Miller, D J Lipman
  

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
  

Community Earth System Model v2 Large Ensemble (CESM2 LENS)

Tools & Applications

• Jupyter Notebook and other documentation and tools for CESM2-LE on AWS by NCAR Science at Scale team
  
• Rendered (static) version of Jupyter Notebook by Maxwell Grover, NCAR
  
• Urban Climate Explorer by Zhonghua Zheng
  

Publications

• Ubiquity of human-induced changes in climate variability by Rodgers et al. (2021), Earth Syst. Dynam., 12, 1–19, 2021
  

Demand-Side Grid (dsgrid) Toolkit

Tutorials

• dsgrid Documentation by Elaine Hale
  
• dsgrid Project Standard Scenarios for the TEMPO Project by Elaine Hale
  
• Python API for Accessing dsgrid Data for the Electrification Futures Study (EFS) by Elaine Hale
  

Tools & Applications

• Demand-Side Grid Toolkit by Elaine Hale
  
• GitHub Repository for Working with the dsgrid Projects by Elaine Hale
  

Publications

• Highly Resolved Projections of Passenger Electric Vehicle Charging Loads for the Contiguous United States by Arthur Yip, Christopher Hoehne, Paige Jadun, Catherine Ledna, Elaine Hale, and Matteo Muratori
  
• The Demand-side Grid (dsgrid) Model Documentation by Elaine Hale, Henry Horsey, Brandon Johnson, et al.
  

ECMWF real-time forecasts

Tutorials

• A collection of Jupyter Notebooks that make use of the ecmwf-opendata package. This package simplifies the download of ECMWF open data. by ECMWF
  

Tools & Applications

• A package to simplify the download of ECMWF open data. It implements a request-based interface to the dataset using ECMWF's MARS language to select meteorological fields, similar to the existing ecmwf-api-client Python package. by ECMWF
  
• Herbie: A Python package to retrieve NWP data. by Brian Blaylock
  

Publications

• ECMWF makes wide range of data openly available by ECMWF
  

Earth Radio Occultation

Tutorials

• Tutorial Demonstrations for Working with GNSS Radio Occultation Data in AWS Open Data Registry archive by Stephen Leroy, Amy McVey, Hailing Zhang, Chi Ao
  Amazon S3Amazon EC2AWS Batch

Tools & Applications

• Utilities for Handling Data in the AWS Open Data Registry archive of GNSS Radio Occultation Data by Stephen Leroy, Amy McVey
  

Publications

• A technical description of atmospheric sounding by GPS occultation by Hajj, G.A. et al.
  
• Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System by Kursinski, E.R. et al.
  

Encyclopedia of DNA Elements (ENCODE)

Tutorials

• ENCODE CTCF ChIP-seq data correlation across different cell types by Paul Sud
  
• Exploring ENCODE data from EC2 with Jupyter notebook by Keenan Graham
  
• Ingesting ENCODE data into TileDB with S3 backend by Otto Jolanki
  

Publications

• New developments on the Encyclopedia of DNA Elements (ENCODE) data portal by Luo et al 2020
  

GEOGLOWS Hydrological Model Version 2

Tutorials

• River Forecast System V2 background, training and tutorials by Riley Hales
  

Tools & Applications

• GEOGLOWS Hydroviewer by Riley Hales
  
• pygeoglows by Riley Hales
  

Publications

• Advancing global hydrologic modeling with the GEOGloWS ECMWF streamflow service by Hales et al.
  

Genome in a Bottle on AWS

Tools & Applications

• GA4GH Benchmarking Tools by GA4GH Benchmarking Team
  
• The Genome in a Bottle Github Project by Genome In A Bottle Consortium
  

Publications

• Extensive sequencing of seven human genomes to characterize benchmark reference materials by Zook J et al (2016)
  
• High-coverage, long-read sequencing of Han Chinese trio reference samples by Wang Y et al (2019)
  

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
  

IDEAM - Colombian Radar Network

Tutorials

• Guia de como explorar y plotear los archivos de radar utilizando el lenguaje de programación Python by IDEAM
  
• Read and plot Sigmet files available on AWS using Xradar by Alfonso Ladino
  
• Specific Differential Phase (KDP) retrieval methods comparison by Alfonso Ladino, Max Grover
  
• Taller de datos científicos con Python y R - AtmosCol 2023 by Alfonso Ladino, Nicole Rivera, Max Grover
  

JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Digital Terrain Models

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

JAXA / USGS / NASA Kaguya/SELENE Terrain Camera Observations

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) on a 30-day rolling archive

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Molecular Profiling to Predict Response to Treatment (phs001965)

Tools & Applications

• Childhood Cancer Data Initiative Data Catalog by National Cancer Institute
  
• Genomic Data Commons by National Cancer Institute
  

Publications

• Finding the way to Wilms tumor by comparing the primary and relapse tumor samples by Filippo Spreafico, Sara Ciceri, et al.
  
• Genetic changes associated with relapse in favorable histology Wilms tumor: A Children's Oncology Group AREN03B2 study by Samantha Gadd, Vicki Huff, et al.
  

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
  

NA-CORDEX - North American component of the Coordinated Regional Downscaling Experiment

Tools & Applications

• Intake-ESM Catalog by Brian Bonnlander (NCAR)
  
• Jupyter Notebook and other documentation and tools by Brian Bonnlander, Seth McGinnis (NCAR)
  
• Rendered (static) version of Jupyter Notebook by Brian Bonnlander (NCAR)
  

Publications

• The NA-CORDEX dataset, version 1.0. NCAR Climate Data Gateway, Boulder CO (2017) by Mearns, Linda O., et al.
  

NAIP on AWS

Tutorials

• Urban Tree Detection by Jonathan Ventura
  

Tools & Applications

• EOS Land Viewer by Earth Observing System
  
• VoyagerSearch showing off Batch + NAIP by Voyager
  

Publications

• Individual Tree Detection in Large-Scale Urban Environments using High-Resolution Multispectral Imagery by Jonathan Ventura, Milo Honsberger, Cameron Gonsalves, Julian Rice, Camille Pawlak, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
  

NASA / USGS Controlled Europa DTMs

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Controlled THEMIS Mosaics

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Europa Controlled Observation Mosaics

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Europa Controlled Observations

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Mars Reconnaissance Orbiter (MRO) Context Camera (CTX) Targeted DTMs

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Released HiRISE Digital Terrain Models

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NASA / USGS Uncontrolled HiRISE RDRs

Tutorials

• Discovering and Downloading Data via the Command Line by J. Laura
  
• Discovering and Downloading Data with Python by J. Laura
  
• Querying for Data in an ROI and Loading it into QGIS by J. Laura
  

Tools & Applications

• PySTAC Client by PySTAC-Client Contributors
  

NOAA Global Historical Climatology Network Daily (GHCN-D)

Tutorials

• Calculating growing degree days using AWS Registry of Open Data by Karen Hildebrand and Zac Flamig
  Amazon AthenaAWS CloudFormationAWS Glue
• Explore & Visualize 200+ Years of Global Temperature by Kapil Sreedharan
  
• Visualize over 200 years of global climate data using Amazon Athena and Amazon QuickSight by Conor Delaney
  Amazon AthenaAWS Glue

Publications

• Natural and Socioeconomic Conditions Influence Tick-Borne Encephalitis Cases in Russia by Lantian Zhang, Linsheng Yang, Li Wang, Lijuan Gu, Hairong Li, Svetlana Malkhazova
  

NOAA High-Resolution Rapid Refresh (HRRR) Model

Tutorials

• HRRR-B Python package: download and read HRRR grib2 files by Brian Blaylock
  
• The HRRR Zarr Archive Managed by MesoWest by Taylor Gowan
  

Publications

• Using Cloud Computing to Analyze Model Output Archived in Zarr Format by Taylor A. Gowan, John D. Horel, Alexander A. Jacques, and Adair Kovac
  
• Using the U.S. Climate Reference Network to Identify Biases in Near- and Sub-Surface Meteorological Fields in the High-Resolution Rapid Refresh (HRRR) Weather Prediction Model by Temple R. Lee, Ronald D. Leeper, Tim Wilson, Howard Diamond, Tilden P. Meyers, and David D. Turner
  

NREL National Solar Radiation Database

Tools & Applications

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  
• NSRDB Viewer by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby, Paul Edwards
  

Publications

• Physics-guided machine learning for improved accuracy of the National Solar Radiation Database by Grant Buster, Mike Bannister, Aron Habte, Dylan Hettinger, Galen Maclaurin, Michael Rossol, Manajit Sengupta, Yu Xie
  
• The National Solar Radiation Data Base (NSRDB) by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby
  

OpenAlex dataset

Tutorials

• Data Analysis and Knowledge Graph with OpenAlex dataset by Gabriel Bella Martini
  
  Amazon SageMaker Studio Lab
• Download snapshot by OurResearch
  
• Getting citation data from OpenAlex by DOI (Jupyter notebook) by Jens Peter Anderson
  

Publications

• OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts by Jason Priem, Heather Piwowar, Richard Orr
  

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
  

RCM CEOS Analysis Ready Data | Données prêtes à l'analyse du CEOS pour le MCR

Publications

• CEOS Analysis Ready Data by Committee on Earth Observation Satellites (CEOS)
  
• Copernicus Global Digital Elevation Model by European Space Agency (ESA)
  
• Sentinel-1 Global Backscatter Model (S1GBM) by TU Wien Research Data
  
• Synthetic Aperture Radar (CEOS-ARD SAR) by Committee on Earth Observation Satellites (CEOS) for developing the CEOS ARD Standards. Specific acknowledgement to François Charbonneau (NRCan) for contributions to the standard development through CEOS committee membership as well as application to Canadian RADARSAT data.
  

Refgenie reference genome assets

Tutorials

• Basic Refgenie tutorial by Nathan Sheffield
  

Tools & Applications

• Pipeline for ATAC-seq data analysis by Jason Smith and Nathan Sheffield
  
• Pipeline for PRO-seq data analysis by Jason Smith and Nathan Sheffield
  

Publications

• Refgenie: a reference genome resource manager by Michał Stolarczyk, Vincent P Reuter, Jason P Smith, Neal E Magee, Nathan C Sheffield
  

SILO climate data on AWS

Tutorials

• Using relative humidity grids with xarray from s3 by Richard Scott
  

Tools & Applications

• Convert NetCDF to ESRI ArcASCII or GeoTIFF by SILO
  
• NetCDF Operators to calculate seasonal means by SILO
  
• Python script to calculate a regional mean by SILO
  

Sea Surface Temperature Daily Analysis: European Space Agency Climate Change Initiative product version 2.1

Tutorials

• Working with surftemp-sst data - Tutorial 1 - Getting started by Niall McCarroll
  
• Working with surftemp-sst data - Tutorial 2 - Analysing Marine Heatwaves by Niall McCarroll
  

Publications

• Adjusting for desert-dust-related biases in a climate data record of sea surface temperature (2020). by Merchant, C.J. and Embury, O.
  
• Satellite-based time-series of sea-surface temperature since 1981 for climate applications (2019). by Merchant, C.J., Embury, O., Bulgin, C.E., Block, T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R. and Donlon, C.
  

Sentinel-1

Tools & Applications

• EO Browser by Sinergise
  
• EOS Land Viewer by Earth Observing System
  
• Sentinel Hub WMS/WMTS/WCS Service by Sinergise by Sinergise
  
• Sentinel Playground by Sinergise
  

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
  

Sentinel-3

Tutorials

• Accessing Sentinel-3 Data on S3 by MEEO by Meteorological Environmental Earth Observation
  

Tools & Applications

• Catalogue of data set by Meteorological Environmental Earth Observation
  
• Sentinel-3 Toolbox by European Space Agency
  

Publications

• Sentinel-3 Document Library by European Space Agency
  

Sentinel-5P Level 2

Tutorials

• Accessing Sentinel-5P Data on S3 by MEEO by Meteorological Environmental Earth Observation
  

Tools & Applications

• Catalogue of data set by Meteorological Environmental Earth Observation
  
• The Atmospheric Toolbox by European Space Agency
  

Publications

• Sentinel-5P TROPOMI Document Library by European Space Agency
  

SiPeCaM (Sitios Permanentes de la Calibración y Monitoreo de la Biodiversidad)

Tutorials

• Sample search query on all images files for cumulus 92, using Alfresco. by Carolina Acosta
  Amazon S3
• Sample search query on november audio files for cumulus 92, using Alfresco. by Carolina Acosta
  Amazon S3
• Sample search query on november video files for cumulus 92, using Alfresco. by Carolina Acosta
  Amazon S3

Publications

• Sitios Permanente de la Calibración y Monitoreo de la Biodiversidad by Michael Schmidt et. al.
  

Speedtest by Ookla Global Fixed and Mobile Network Performance Maps

Tutorials

• Bootstrapping Dask on 1000 cores with AWS Fargate by Imri Paran
  AWS FargateAmazon EKS
• How to deliver performant GIS desktop applications with Amazon AppStream 2.0 by Ethan Fahy and Spencer DeBrosse
  Amazon AppStream 2.0Amazon RDS
• Launching Lonboard - A Python library for extremely fast geospatial vector data visualization in Jupyter by Kyle Barron
  
• New Year, Great Data: The Best Ookla Open Data Projects We’ve Seen So Far by Katie Jolly
  

Storm EVent ImageRy (SEVIR)

Tutorials

• Introduction to SEVIR by Mark Veillette
  
• Using Generators for SEVIR data by Mark Veillette
  

Tools & Applications

• sevir -- python utilities for working with SEVIR dataset by Mark Veillette
  

Publications

• Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method by Yuan Hu, Lei Chen, Zhibin Wang, Xiang Pan and Hao Li
  

Synthea synthetic patient generator data in OMOP Common Data Model

Tutorials

• Create data science environments on AWS for health analysis using OHDSI by James Wiggins
  AWS CloudFormationAmazon EC2Amazon RDS
• Map clinical notes to the OMOP Common Data Model and healthcare ontologies using Amazon Comprehend Medical by James Wiggins
  Amazon ComprehendAWS CloudFormationAmazon EC2Amazon RDS
• Predict patient health outcomes using OHDSI and machine learning on AWS by James Wiggins
  AWS CloudFormationAmazon EC2Amazon RDS

Tools & Applications

• OHDSIonAWS by James Wiggins
  

UK Biobank Linkage Disequilibrium Matrices

Tutorials

• PolyFun Wiki by Omer Weissbrod
  

Tools & Applications

• PolyFun and PolyPred software by Omer Weissbrod
  

Publications

• Functionally informed fine-mapping and polygenic localization of complex trait heritability by Weissbrod et al.
  
• Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores by Weissbrod et al.
  

UK Biobank Pan-Ancestry Summary Statistics

Tutorials

• Hail Tutorials by Hail Team
  

Tools & Applications

• Hail by Hail Team
  
• Hail on AWS Quick Start by Amazon Web Services and PrivoIT
  

Publications

• Pan-ancestry genetic analysis of the UK Biobank by Pan UKBB Team
  

Yale-CMU-Berkeley (YCB) Object and Model Set

Publications

• Benchmarking in Manipulation Research: Using the Yale-CMU-Berkeley Object and Model Set by Berk Calli, Aaron Walsman, Arjun Singh, Siddhartha Srinivasa, Pieter Abbeel, Aaron M Dollar
  
• Label Fusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes by Pat Marion, Peter R. Florence, Lucas Manuelli, Russ Tedrake
  
• Pre-touch sensing for sequential manipulation by Boling Yang, Patrick Lancaster, Joshua R. Smith
  
• The Closure Signature: A Functional Approach to Model Underactuated Compliant Robotic Hands by Maria Pozzi, Gionata Salvietti, João Bimbo, Monica Malvezzi, Domenico Prattichizzo
  

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
  

real-changesets

Tools & Applications

• changeset-map by OSM Lab
  
• OSMCha by Wille Marcel, Mapbox et al.
  
• real-changesets-parser by Mapbox
  

Publications

• Preparing accurate history and caching changesets by Sajjad Anwar
  

AG-LOAM Dataset

Tools & Applications

• Source code of the LiDAR-only odometry and mapping system by Hanzhe Teng et al.
  

Publications

• Adaptive LiDAR Odometry and Mapping for Autonomous Agricultural Mobile Robots in Unmanned Farms by Hanzhe Teng, Yipeng Wang, Dimitrios Chatziparaschis, Konstantinos Karydis
  
• Adaptive LiDAR Odometry and Mapping for Autonomous Agricultural Mobile Robots in Unmanned Farms by Hanzhe Teng, Yipeng Wang, Dimitrios Chatziparaschis, Konstantinos Karydis
  

ASF SAR Data Products for Disaster Events

Tools & Applications

• ASF Event Search by Alaska Satellite Facility
  

Publications

• Event Search Manual by Alaska Satellite Facility
  
• SARVIEWS Events Collection by Alaska Satellite Facility
  

AdaptiveFlow Ligand Libraries

Tutorials

• AdaptiveFlow tutorial by Christoph Gorgulla
  

Tools & Applications

• AdaptiveFlow for Virtual Screening (AFVS) Module on GitHub by Christoph Gorgulla
  

Publications

• VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules by Christoph Gorgulla, AkshatKumar Nigam, Matt Koop, Süleyman Selim Çınaroğlu, Christopher Secker, Mohammad Haddadnia, Abhishek Kumar, Yehor Malets, Alexander Hasson, Roni Levin-Konigsberg, Dmitry Radchenko, Aditya Kumar, Minko Gehev, Pierre-Yves Aquilanti, Henry Gabb, Amr Alhossary, Gerhard Wagner, Al, Yurii S. Moroz, Konstantin Fackeldey, Haribabu Arthanari
  

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.
  

Beat Acute Myeloid Leukemia (AML) 1.0

Tools & Applications

• Genomic Data Commons by National Cancer Institute
  

Publications

• Clinical resistance to crenolanib in acute myeloid leukemia due to diverse molecular mechanisms by Zhang H, Savage S, Schultz AR, Bottomly D, White L, Segerdell E, et al.
  
• Functional Genomic Landscape of Acute Myeloid Leukemia by Jeffrey W. Tyner, Cristina E. Tognon, Dan Bottomly et al.
  

Blended TROPOMI+GOSAT Satellite Data Product for Atmospheric Methane

Tutorials

• Downloading the full data record from AWS by Nicholas Balasus
  Amazon SageMaker Studio Lab
• Plotting one month of blended TROPOMI+GOSAT methane retrievals by Nicholas Balasus
  Amazon SageMaker Studio Lab

Publications

• A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases by N. Balasus, D.J. Jacob, A. Lorente, J.D. Maasakkers, R.J. Parker, H. Boesch, Z. Chen, M.M. Kelp, H. Nesser, D.J. Varon
  

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
  

COVID-19 Harmonized Data

Tutorials

• How Talend is joining the fight against COVID-19 by Thomas Bennett
  

Tools & Applications

• Stitch COVID-19 Integration by Jeff Huth
  
• Tap COVID-19 Python by Jeff Huth
  

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
  

CZ Grand Challenges - Transcriptomic MIT Licensed data and models

Tutorials

• Documentation for scGenePT by CZI
  
• Documentation for Transcriptformer by CZI
  
• Quickstart Tutorial for Transcriptformer by CZI
  
• scGenePT Perturbation Prediction Tutorial by CZI
  

Publications

• A Cross-Species Generative Cell Atlas Across 1.5 Billion Years of Evolution: The TranscriptFormer Single-cell Model by Pearce, J. D., et. al.
  
• scGenePT: Is language all you need for modeling single-cell perturbations? by Ana-Maria Istrate, Donghui Li, Theofanis Karaletsos
  

CanElevation - LiDAR Point Clouds

Tutorials

• How to generate a digital elevation model (DEM) from a lidar point cloud in COPC LAZ format | Comment générer un modèle numérique d'élévation (MNE) à partir d'un nuage de point lidar en format COPC LAZ by NRCan
  
  
• Identify projects and lidar tiles covering a region of interest | Déterminer les projets et les tuiles lidars couvrant une région d'intérêt by NRCan
  
  
• Using the LiDAR Point Clouds - CanElevation Series product in QGIS | Utilisation du produit Nuages de points lidar - Série CanÉlévation dans QGIS by NRCan
  

Canopy Tree Height Map for the Amazon Forest (mean height composite 2020-2024) by CTrees.org

Tutorials

• How to download the CTrees Amazon Canopy Height Map by Fabien H Wagner
  

Publications

• High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model by Fabien H Wagner, Ricardo Dalagnol, Griffin Carter, Mayumi CM Hirye, Shivraj Gill, Le Bienfaiteur Sagang Takougoum, Samuel Favrichon, Michael Keller, Jean PHB Ometto, Lorena Alves, Cynthia Creze, Stephanie P George-Chacon, Shuang Li, Zhihua Liu, Adugna Mullissa, Yan Yang, Erone G Santos, Sarah R Worden, Martin Brandt, Philippe Ciais, Stephen C Hagen, Sassan Saatchi
  
• Is this the largest tree in the Amazon? A Q&A with CTrees scientist Fabien Wagner by Rachel Kovinsky
  

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.
  

CitrusFarm Dataset

Tools & Applications

• Python script to download this dataset by Hanzhe Teng et al.
  
• Python scripts used in the data collection and post-processing by Hanzhe Teng et al.
  

Publications

• Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms by Hanzhe Teng, Yipeng Wang, Xiaoao Song and Konstantinos Karydis
  

Clinical Trial Sequencing Project - Diffuse Large B-Cell Lymphoma

Tools & Applications

• Genomic Data Commons by National Cancer Institute
  

Publications

• A multiprotein supercomplex controlling oncogenic signalling in lymphoma by Phelan JD, Young RM, Webster DE, Roulland S, Wright GW, Kasbekar M, Shaffer AL 3rd, Ceribelli M, Wang JQ, Schmitz R, Nakagawa M, Bachy E, Huang DW, Ji Y, Chen L, Yang Y, Zhao H, Yu X, Xu W, Palisoc MM, Valadez RR, Davies-Hill T, Wilson WH, Chan WC, Jaffe ES, Gascoyne RD, Campo E, Rosenwald A, Ott G, Delabie J, Rimsza LM, Rodriguez FJ, Estephan F, Holdhoff M, Kruhlak MJ, Hewitt SM, Thomas CJ, Pittaluga S, Oellerich T, Staudt LM
  
• Genetics and Pathogenesis of Diffuse Large B Cell Lymphoma by Roland Schmitz, Ph.D., George W. Wright, Ph.D., Da Wei Huang, M.D., Calvin A. Johnson, Ph.D., James D. Phelan, Ph.D., James Q. Wang, Ph.D., Sandrine Roulland, Ph.D., Monica Kasbekar, Ph.D., Ryan M. Young, Ph.D., Arthur L. Shaffer, Ph.D., Daniel J. Hodson, M.D., Ph.D., Wenming Xiao, Ph.D., et al.
  

Department of Energy’s Geothermal Data Repository (GDR) Data Lake

Tutorials

• Dark Fiber Jupyter Notebook Tutorial by A. Nayak, A. Lowney
  

Publications

• The Geothermal Data Repository: Ten Years of Supporting the Geothermal Industry with Open Access to Geothermal Data by J. Weers, A. Anderson, N. Taverna
  
• The Imperial Valley Dark Fiber Project: Toward Seismic Studies Using DAS and Telecom Infrastructure for Geothermal Applications by J. Ajo-Franklin, V. Rodrigues Tribaldos, A. Nayak, et al.
  

Distributed Archives for Neurophysiology Data Integration (DANDI)

Tools & Applications

• DANDI JupyterHub Interface by DANDI Project
  
• DANDI Shell Interface by DANDI Project
  
• DANDI Web Interface by DANDI Project
  

EURO-CORDEX - European component of the Coordinated Regional Downscaling Experiment

Tools & Applications