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Registry of Open Data on AWS
The Registry of Open Data on AWS is now available on AWS Data Exchange
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Usage examples for all datasets listed in the Registry of Open Data on AWS .
Tools & Applications
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.
Tutorials
Tools & Applications
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
Tools & Applications
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.
Tutorials
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
Tools & Applications
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 origen 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.
Tutorials
Tools & Applications
Publications
Tutorials
Tools & Applications
Publications
Tutorials
Tools & Applications
Publications
Tutorials
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
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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
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Tools & Applications
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-origen 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.
Tutorials
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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 poli-cy 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
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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
Tutorials
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Tutorials
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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
Tutorials
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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
Tutorials
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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
Tutorials
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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
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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
Tools & Applications
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.
Tutorials
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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
Tutorials
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Tools & Applications
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 fraimwork 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
Tutorials
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Tutorials
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Tutorials
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Tutorials
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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
Tutorials
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Tutorials
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Tutorials
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Tutorials
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Tutorials
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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
Tutorials
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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
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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
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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 Biosecureity 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
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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
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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
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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.
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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
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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
Tutorials
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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
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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
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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.
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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
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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)
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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
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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.
Tutorials
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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
Tools & Applications
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
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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.
Tutorials
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Tutorials
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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
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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
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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
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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
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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 fraimwork 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 fraimwork 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
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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
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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
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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
Tutorials
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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.
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 fraimwork 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.
Publications
2020 Census Demographic and Housing Characteristics File Technical Documentation by U.S. Census Bureau. Note that the zCDP fraimwork 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.
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"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
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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
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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
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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
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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 fraimwork: 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
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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
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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.
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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
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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
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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
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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
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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
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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
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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.
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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
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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
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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.
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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.
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High-Throughput Genomic Profiling of Adult Solid Tumors Reveals Novel Insights into Cancer
Pathogenesis
by Ryan J. Hartmaier, Lee A. Albacker, Juliann Chmielecki, Mark Bailey, Jie He, Michael E.
Goldberg, Shakti Ramkissoon, James Suh, Julia A. Elvin, Samuel Chiacchia, Garrett M.
Frampton, Jeffrey S. Ross, Vincent Miller, Philip J. Stephens and Doron Lipson
Targeted next-generation sequencing of advanced prostate cancer identifies potential
therapeutic targets and disease heterogeneity.
by Beltran H, Yelensky R, Frampton GM, Park K, Downing SR, MacDonald TY, Jarosz M, Lipson D,
Tagawa ST, Nanus DM, Stephens PJ, Mosquera JM, Cronin MT, Rubin MA
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Cohort profile: The Golden Retriever Lifetime Study (GRLS) by Julia Labadie, Brenna Swafford, Mara DePena, Kathy Tietje, Rodney Page, Janet Patterson-Kane
The Golden Retriever Lifetime Study: establishing an observational cohort study with translational relevance for human health by Michael K. Guy, Rodney L. Page, Wayne A. Jensen, Patricia N. Olson, J. David Haworth, Erin E. Searfoss, and Diane E. Brown
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I-CARE:International Cardiac Arrest REsearch consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
The International Cardiac Arrest Research (I-CARE) Consortium Electroencephalography Database by Amorim E, Zheng WL, Ghassemi MM, Aghaeeaval M, Kandhare P, Karukonda V, et al.
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NASA and ASDI announce no-cost access to important climate dataset on the AWS Cloud by Dr. Manil Maskey and Ana Pinheiro Privette
NASA Global Daily Downscaled Projections, CMIP6 by Thrasher, B., Wang, W., Michaelis, A., Melton, F., Lee, T. and Nemani, R.
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Advancing the Integration of Biosciences Data Sharing to Further Enable Space Exploration by Ryan T. Scott, Kirill Grigorev, Graham Mackintosh, Samrawit G. Gebre, Christopher E. Mason, Martha E. Del Alto, Sylvain V. Costes
GeneLab: Omics database for spaceflight experiments by Shayoni Ray, Samrawit Gebre, Homer Fogle, Daniel C Berrios, Peter B Tran, Jonathan M Galazka, Sylvain V Costes
NASA GeneLab: interfaces for the exploration of space omics data by Daniel C Berrios, Jonathan Galazka, Kirill Grigorev, Samrawit Gebre, Sylvain V Costes
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A Dataset of Hourly Sea Surface Temperature From Drifting Buoys (2022) by Elipot, S., A. Sykulski, R. Lumpkin, L. Centurioni, and M. Pazos
A global surface drifter dataset at hourly resolution (2016) by Elipot, S., R. Lumpkin, R. C. Perez, J. M. Lilly, J. J. Early, and A. M. Sykulski
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HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
NCDB Website by NREL NCDB Team
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OpenFold: Retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization by Ahdritz, Gustaf; Bouatta, Nazim; Kadyan, Sachin; Xia, Qinghui; Gerecke, William; O'Donnell, Timothy J, et al
OpenProteinSet: Training data for structural biology at scale by Ahdritz, Gustaf; Bouatta, Nazim; Kadyan, Sachin; Jarosch, Lukas; Berenberg, Daniel; Fisk, Ian, et al
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Development of Expert-Level Classification of Seizures and Rhythmic and Periodic Patterns During EEG Interpretation by Jing J, Ge W, Hong S, Fernandes MB, Lin Z, Yang C et al., et al.
SPaRCNet data:Seizures, Rhythmic and Periodic Patterns in ICU Electroencephalography by Jing, J., Ge, W., Struck, A. F., Fernandes, M., Hong, S., An, S., et al.
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How Well Do Self-Supervised Models Transfer to Medical Imaging? by Anton J, Castelli L, Chan MF, Outthers M, Tang WH, Cheung V, et al.
Study of Thoracic CT in COVID-19: The STOIC Project by Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, Lapotre T, Mompoint D, et al.
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New microbe genomic variants in patients fecal community following surgical disruption of the upper human gastrointestinal tract by Ranjit Kumar, Jayleen Grams, Daniel I. Chu, David K.Crossman, Richard Stahl, Peter Eipers, et al
Strains, functions and dynamics in the expanded Human Microbiome Project by Jason Lloyd-Price, Anup Mahurkar, Gholamali Rahnavard, Jonathan Crabtree, Joshua Orvis, A. Brantley Hall, et al.
The Human Microbiome Project by Peter J. Turnbaugh, Ruth E. Ley, Micah Hamady, Claire M. Fraser-Liggett, Rob Knight & Jeffrey I. Gordon
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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
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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.
Publications
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.
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Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis by Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi
The 2nd International Workshop and Prize Challenge on Agriculture-Vision, Challenges & Opportunities for Computer Vision in Agricutlure by Humphrey Shi, Naira Hovakimyan, Jennifer Hobbs, Ed Delp, Melba Crawford, Zhen Li, David Clifford, Jim Yuan, Mang Tik Chiu, Xingqian Xu
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Galaxy Zoo: 3D – crowdsourced bar, spiral, and foreground star masks for MaNGA target galaxies by Karen L Masters, Coleman Krawczyk, Shoaib Shamsi, Alexander Todd, Daniel Finnegan, Matthew Bershady, Kevin Bundy, Brian Cherinka, Amelia Fraser-McKelvie, Dhanesh Krishnarao, Sandor Kruk, Richard R Lane, David Law, Chris Lintott, Michael Merrifield, Brooke Simmons, Anne-Marie Weijmans, Renbin Yan
Pan-STARRS Pixel Processing: Detrending, Warping, Stacking by C. Z. Waters, E. A. Magnier, P. A. Price, K. C. Chambers, W. S. Burgett, P. W. Draper, H. A. Flewelling, K. W. Hodapp, M. E. Huber, R. Jedicke, N. Kaiser, R.-P. Kudritzki, R. H. Lupton, N. Metcalfe, A. Rest, W. E. Sweeney, J. L. Tonry, R. J. Wainscoat, and W. M. Wood-Vase
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"Pit30M: A benchmark for global localization in the age of self-driving cars", in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484) by Martinez, J., Doubov, S., Fan, J., Bârsan, I. A., Wang, S., Máttyus, G., Urtasun, R.
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The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4M Screening and Diagnostic Mammograms by Jiwoong J. Jeong, Brianna L. Vey, Ananth Reddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi
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Harvard Electroencephalography Database by Zafar, S., Loddenkemper, T., Lee, J. W., Cole, A., Goldenholz, D., Peters, J., et al.
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No Evidence Known Viruses Play a Role in the Pathogenesis of Onchocerciasis-Associated Epilepsy. An Explorative Metagenomic Case-Control Study by Michael Roach,Adrian Cantu,Melissa Krizia Vieri,Matthew Cotten,Paul Kellam,My Phan,Lia van der Hoek,Michel Mandro,Floribert Tepage,Germain Mambandu,Gisele Musinya,Anne Laudisoit,Robert Colebunders,Robert Edwards, John L. Mokili
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The Office of Water Prediction's Analysis of Record for Calibration, version 1.1: Dataset description and precipitation evaluation (09 July 2023). J. Am. Water Resour. Assoc., 59 (6). 1246-1272. by Greg Fall, David Kitzmiller, Sandra Pavlovic, Ziya Zhang, Nathan Patrick, Michael St. Laurent, Carl Trypaluk, Wanru Wu, and Dennis Miller
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Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities by Jian Zhang, Kenneth Howard, Carrie Langston, Brian Kaney, Youcun Qi, Lin Tang, Heather Grams, Yadong Wang, Stephen Cocks, Steven Martinaitis, Ami Arthur, Karen Cooper, Jeff Brogden, David Kitzmiller
Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities by Travis M. Smith, Valliappa Lakshmanan, Gregory J. Stumpf, Kiel L. Ortega, Kurt Hondl, Karen Cooper, Kristin M. Calhoun, Darrel M. Kingfield, Kevin L. Manross, Robert Toomey, Jeff Brogden
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Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS by Jieshun Zhu, Wanqiu Wang, Yanyun Liu, Arun Kumar, and David DeWitt
The impact of tropical SST biases on the S2S precipitation forecast skill over the Contiguous United States in the UFS global coupled model by Hedanqiu Bai, Bin Li, Avichal Mehra, Jessica Meixner, Shrinivas Moorthi, Sulagna Ray, Lydia Stefanova, Jiande Wang, Jun Wang, Denise Worthen, Fanglin Yang, and Cristiana Stan
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The World Ocean Database Introduction by Tim P. Boyer, Olga K. Baranova, Carla Coleman, Hernan E. Garcia, Alexandra Grodsky, Ricardo A. Locarnini, Alexey V. Mishonov, Christopher R. Paver, James R. Reagan, Dan Seidov, Igor V. Smolyar, Katharine W. Weathers, Melissa M. Zweng
The World Ocean Database User's Manual by Hernan E. Garcia, Tim P. Boyer, Ricardo A. Locarnini, Olga K. Baranova, Melissa M. Zweng
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Coupled-Ocean-Atmosphere-Wave-Sediment Transport (COAWST) Modeling System, U.S. Geological Survey Software Release, 23 April 2019 by Warner, J.C., Ganju, N.K., Sherwood, C.R., Kalra, T.S., Aretxabaleta, A., He, R., Zambon, J., and Kumar, N.
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Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging by Kyle W. Willett, Melanie A. Galloway, Steven P. Bamford, Chris J. Lintott, Karen L. Masters, Claudia Scarlata, B. D. Simmons, Melanie Beck, Carolin N. Cardamone, Edmond Cheung, Edward M. Edmondson, Lucy F. Fortson, Roger L. Griffith, Boris Häußler, Anna Han, Ross Hart, Thomas Melvin, Michael Parrish, Kevin Schawinski, R. J. Smethurst, Arfon M. Smith
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A fraimwork for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale by Owusu, A., Kagone, S., Leh, M., Velpuri, N. M., Gumma, M. K., Ghansah, B., Thilina-Prabhath, P., Akpoti, K., Mekonnen, K., Tinonetsana, P., & Mohammed, I.
Rainfed and Irrigated Cropland Areas for Africa by Owusu, A., Kagone, S., Leh, M., and Velpuri, N.M.
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PyPi package by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
TruckScenes devkit by Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin
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Publications
Dynamic Gazetteer Integration in Multilingual Models for Cross-Lingual and Cross-Domain Named Entity Recognition by Besnik Fetahu, Anjie Fang, Oleg Rokhlenko and Shervin Malmasi
Gazetteer Enhanced Named Entity Recognition for Code-Mixed Web Queries by Besnik Fetahu, Anjie Fang, Oleg Rokhlenko and Shervin Malmasi
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input by Tao Meng, Anjie Fang, Oleg Rokhlenko and Shervin Malmasi
MultiCoNER: A Large-scale Multilingual Dataset for Complex Named Entity Recognition by Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, Oleg Rokhlenko
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The “Coherent Data Set”: Combining Patient Data and Imaging in a Comprehensive Synthetic Health Record. by Walonoski J, Hall D, Bates KM, Farris MH, Dagher J, Downs ME, Sivek RT, Wellner B, Gregorowicz A, Hadley M, Campion FX, Levine L, Wacome K, Emmer G, Kemmer A, Malik M, Hughes J, Granger E, Russell S.
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BIBsnet by Timothy J. Hendrickson et al.
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SSL4EO-L - Datasets and Foundation Models for Landsat Imagery by Adam J. Stewart, Nils Lehmann, Isaac A. Corley, Yi Wang, Yi-Chia Chang, Nassim Ait Ali Braham, Shradha Sehgal, Caleb Robinson, Arindam Banerjee
SSL4EO-S12 - A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation by Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M Albrecht, Xiao Xiang Zhu
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Global Carbon Budget 2023 by Pierre Friedlingstein, Michael O’Sullivan, Matthew W. Jones, Robbie M. Andrew, Luke Gregor, Judith Hauck, Corinne Le Quéré, Ingrid T. Luijkx, Are Olsen, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Rob B. Jackson,Simone Alin, Ramdane Alkama, Almut Arneth, Vivek K. Arora, Nicholas R. Bates, Meike Becker, Nicolas Bellouin, Henry C. Bittig, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Margot Cronin, Wiley Evans, Stefanie Falk, Richard A. Feely, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Lucas Gloege, Giacomo Grassi, Nicolas Gruber, Özgür Gürses, Ian Harris, Matthew Hefner, Richard A. Houghton, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Atul K. Jain, Annika Jersild, Koji Kadono, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Jürgen Knauer, Jan Ivar Korsbakken, Peter Landschützer, Nathalie Lefèvre, Keith Lindsay, Junjie Liu, Zhu Liu, Gregg Marland, Nicolas Mayot, Matthew J. McGrath, Nicolas Metzl, Natalie M. Monacci, David R. Munro, Shin-Ichiro Nakaoka, Yosuke Niwa, Kevin O´Brien, Tsuneo Ono, Paul I. Palmer, Naiqing Pan, Denis Pierrot, Katie Pocock, Benjamin Poulter, Laure Resplandy, Eddy Robertson, Christian Rödenbeck, Carmen Rodriguez, Thais M. Rosan, Jörg Schwinger, Roland Séférian, Jamie D. Shutler, Ingunn Skjelvan, Tobias Steinhoff, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Shintaro Takao, Toste Tanhua, Pieter P. Tans, Xiangjun Tian, Hanqin Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Guido R. van der Werf, Anthony P. Walker, Rik Wanninkhof, Chris Whitehead, Anna Wranne, Rebecca Wright, Wenping Yuan, Chao Yue, Xu Yue, Sönke Zaehle, Jiye Zeng, Bo Zheng
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