Scientific Networking
Parent: Computing Sciences
eScholarship stats: Breakdown by Item for March through June, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 5vt9q733 | The NetSage measurement and analysis framework in practice | 866 | 68 | 798 | 7.9% |
| 78j3c9v4 | 2020 High Energy Physics Network Requirements Review (Final Report) | 717 | 553 | 164 | 77.1% |
| 1dc9j42v | High Energy Physics Network Requirements Review (Final Report, July 2024–December 2024) | 659 | 576 | 83 | 87.4% |
| 3mz7h3mm | Biological and Environmental Research Network Requirements Review (Final Report) | 622 | 502 | 120 | 80.7% |
| 3jj0h54n | Basic Energy Sciences Network Requirements Review (Final Report) | 590 | 482 | 108 | 81.7% |
| 2vt3f7r6 | High Energy Physics Network Requirements Review (Final Report, July-October 2020) | 571 | 503 | 68 | 88.1% |
| 3gr7j44m | New York-Presbyterian and Columbia University Irving Medical Center Requirements Analysis Report | 476 | 226 | 250 | 47.5% |
| 56f7p5vq | The SENSEI Generic In Situ Interface: Tool and Processing Portability at Scale | 475 | 389 | 86 | 81.9% |
| 9f38j545 | Real-time and post-hoc compression for data from Distributed Acoustic Sensing | 461 | 327 | 134 | 70.9% |
| 7878c2x6 | Proximity Portability and in Transit, M-to-N Data Partitioning and Movement in SENSEI | 452 | 359 | 93 | 79.4% |
| 6kt1d51f | A primer on artificial intelligence in plant digital phenomics: embarking on the data to insights journey | 421 | 252 | 169 | 59.9% |
| 44v0c3r5 | Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution | 359 | 168 | 191 | 46.8% |
| 4qx1b4x8 | Nuclear Physics Network Requirements Review Final Report | 352 | 202 | 150 | 57.4% |
| 704411nv | National Institute of Standards and Technology Requirements (Analysis Report) | 347 | 188 | 159 | 54.2% |
| 3s07q0d8 | South Dakota Region Scientific Deep Dive | 327 | 143 | 184 | 43.7% |
| 744479dp | Storage 2020: A Vision for the Future of HPC Storage | 321 | 162 | 159 | 50.5% |
| 3101x2rn | The genome of black cottonwood, Populus trichocarpa (Torr. & Gray) | 310 | 79 | 231 | 25.5% |
| 8d5213bv | Fusion Energy Sciences Network Requirements Review (Final Report) | 309 | 220 | 89 | 71.2% |
| 7c83j3jr | Green evolution and dynamic adaptations revealed by genomes of the marine picoeukaryotes Micromonas | 305 | 168 | 137 | 55.1% |
| 0dd0v40x | AIIO: Using Artificial Intelligence for Job-Level and Automatic I/O Performance Bottleneck Diagnosis | 300 | 166 | 134 | 55.3% |
| 90w6c49d | Comparative genomic analysis of the thermophilic biomass-degrading fungi Myceliophthora thermophila and Thielavia terrestris | 290 | 119 | 171 | 41.0% |
| 72r3k7s9 | The ecoresponsive genome of Daphnia pulex | 284 | 160 | 124 | 56.3% |
| 2zq2p06t | Effective Missing Value Imputation Methods for Building Monitoring Data | 281 | 90 | 191 | 32.0% |
| 61k340hk | Comparative genomics of citric-acid producing Aspergillus niger ATCC 1015 versus enzyme-producing CBS 513.88 | 276 | 98 | 178 | 35.5% |
| 0pd789wt | Genome sequencing and analysis of the model grass Brachypodium distachyon | 275 | 81 | 194 | 29.5% |
| 4w2151rp | Fusion Energy Sciences Network Requirements Review: Mild-cycle Update | 275 | 136 | 139 | 49.5% |
| 61j6m742 | 2019 Computing Sciences Strategic Plan | 274 | 175 | 99 | 63.9% |
| 03j415ph | The genome of the diatom Thalassiosira pseudonana: Ecology, evolution, and metabolism | 270 | 81 | 189 | 30.0% |
| 99c4v5xh | University of Wisconsin-Madison Campus-Wide Deep Dive | 265 | 128 | 137 | 48.3% |
| 7fh8p0mw | University of Central Florida Campus-Wide Deep Dive | 262 | 129 | 133 | 49.2% |
| 8qb0p7j7 | Distributed Acoustic Sensing Using Dark Fiber for Near-Surface Characterization and Broadband Seismic Event Detection | 260 | 114 | 146 | 43.8% |
| 9fg8k5xh | ESnet Requirements Review Program Through the IRI Lens: A Meta-Analysis of Workflow Patterns Across DOE Office of Science Programs (Final Report) | 257 | 137 | 120 | 53.3% |
| 5wx7q92m | A Two-Level Control Framework for Quantum Networks | 254 | 110 | 144 | 43.3% |
| 1507s9df | Effectiveness and predictability of in-network storage cache for Scientific Workflows | 248 | 158 | 90 | 63.7% |
| 3297b74f | A Framework for International Collaboration on ITER Using Large-Scale Data Transfer to Enable Near-Real-Time Analysis | 248 | 53 | 195 | 21.4% |
| 0bv5d7dj | The Adaptable IO System (ADIOS) | 246 | 61 | 185 | 24.8% |
| 7d6261dx | The genome of the xerotolerant mold Wallemia sebi reveals adaptations to osmotic stress and suggests cryptic sexual reproduction | 246 | 67 | 179 | 27.2% |
| 2z32d5fh | The Genome of the Western Clawed Frog Xenopus tropicalis | 243 | 132 | 111 | 54.3% |
| 1203r78b | An extensible control plane software architecture for quantum networking research | 240 | 145 | 95 | 60.4% |
| 1196z33x | Arcadia University Bioinformatics Application Deep Dive | 239 | 132 | 107 | 55.2% |
| 304277z3 | State-based network similarity visualization | 239 | 178 | 61 | 74.5% |
| 2976t1sq | High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems) | 231 | 78 | 153 | 33.8% |
| 1hx9b9ww | ESnet Data and AI Workshop Report | 230 | 150 | 80 | 65.2% |
| 2mj640ch | Performance Analysis, Design Considerations, and Applications of Extreme-scale In Situ Infrastructures | 230 | 138 | 92 | 60.0% |
| 78m512td | Detecting Anomalies in Time Series Using Kernel Density Approaches | 224 | 139 | 85 | 62.1% |
| 00w301f1 | High Energy Physics Network Requirements Review: Two-Year Update | 220 | 124 | 96 | 56.4% |
| 03r3h2d5 | Arizona State University Requirements Analysis Report | 212 | 117 | 95 | 55.2% |
| 65h4t5zc | High Energy Physics Network Requirements Review: One-Year Update | 212 | 133 | 79 | 62.7% |
| 6t58p052 | University of Cincinnati Campus-Wide Deep Dive | 212 | 113 | 99 | 53.3% |
| 8n79h7fs | Near real-time streaming analysis of big fusion data | 212 | 126 | 86 | 59.4% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.