Online Resource List
Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.
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Social Indicators Research, 148(2), 441–472. https://doi.org/10.1007/s11205-019-02205-w", "relatedTo": { "ob_id": 25065, "uuid": "d4e823f0172947c5ae6e6b265656c273", "short_code": "ob" } }, { "ob_id": 96448, "function": "externalCitation", "linkage": "https://doi.org/10.1594/pangaea.954826", "name": "Heinemann, G., Preußer, A., Zentek, R., & Brooks, I. M. (2023). HALO wind lidar (level 1) data of the University of Trier for MOSAiC [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.954826", "relatedTo": { "ob_id": 39226, "uuid": "25f1dfeed5224e26a132bba15bb91f38", "short_code": "ob" } }, { "ob_id": 96449, "function": "externalCitation", "linkage": "https://doi.org/10.1594/pangaea.962694", "name": "Heinemann, G., Drüe, C., Preußer, A., & Zentek, R. (2023). Wind and backscatter profiles from the HALO wind lidar of the University of Trier for MOSAiC [Data set]. 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PANGAEA. https://doi.org/10.1594/PANGAEA.954826", "relatedTo": { "ob_id": 38257, "uuid": "cc32622e68ad40bcac14fc6cd69ae4b7", "short_code": "ob" } }, { "ob_id": 96452, "function": "externalCitation", "linkage": "https://doi.org/10.3389/fpls.2026.1822258", "name": "Narayanan, N., Swamy, R. A. R., Gehan, J., Jones, T., Lazar, S., Wintraube, D., Yakir, E., Hasson, O., Lampert, A., Colvin, J., Taylor, N. J., Morin, S., & Malka, O. (2026). Creating resistance to the whitefly Bemisia tabaci in cassava through RNAi-mediated targeting of multiple insect metabolic processes. Frontiers in Plant Science, 17. https://doi.org/10.3389/fpls.2026.1822258", "relatedTo": { "ob_id": 26700, "uuid": "a2a8100c46794985b410ea436f24812a", "short_code": "ob" } }, { "ob_id": 96453, "function": "externalCitation", "linkage": "https://doi.org/10.1080/02626667.2026.2622458", "name": "Faulkner, D., McKenna, C., & Winder, A. (2026). Detection and spatial modelling of trends in UK rainfall frequency. Hydrological Sciences Journal, 71(5), 974–988. https://doi.org/10.1080/02626667.2026.2622458", "relatedTo": { "ob_id": 38071, "uuid": "15deeb29cdcd4524b07560e5aad45ded", "short_code": "ob" } }, { "ob_id": 96454, "function": "externalCitation", "linkage": "10945/7519", "name": "Rogerson, Scott D.. Implications of shiptracks on ship surveillance. Calhoun, Institutional Archive of the Naval Postgraduate School.", "relatedTo": { "ob_id": 37676, "uuid": "0d88dc06fd514e8199cdd653f00a7be0", "short_code": "ob" } }, { "ob_id": 96455, "function": "externalCitation", "linkage": "10945/7528", "name": "Brown, Andrew.. Temporal effects of shiptracks on clouds. Calhoun, Institutional Archive of the Naval Postgraduate School.", "relatedTo": { "ob_id": 37676, "uuid": "0d88dc06fd514e8199cdd653f00a7be0", "short_code": "ob" } }, { "ob_id": 96456, "function": "externalCitation", "linkage": "https://doi.org/10.1073/pnas.2206885119", "name": "Watson-Parris, D., Christensen, M. W., Laurenson, A., Clewley, D., Gryspeerdt, E., & Stier, P. (2022). Shipping regulations lead to large reduction in cloud perturbations. Proceedings of the National Academy of Sciences, 119(41). https://doi.org/10.1073/pnas.2206885119", "relatedTo": { "ob_id": 37676, "uuid": "0d88dc06fd514e8199cdd653f00a7be0", "short_code": "ob" } }, { "ob_id": 96457, "function": "externalCitation", "linkage": "10945/42871", "name": "Trehubenko, Eric J.. Shiptracks in the Californian stratus region: dependency on marine atmospheric boundary layer depth. Calhoun, Institutional Archive of the Naval Postgraduate School.", "relatedTo": { "ob_id": 37676, "uuid": "0d88dc06fd514e8199cdd653f00a7be0", "short_code": "ob" } }, { "ob_id": 96458, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jd040978", "name": "Dawkins, E. C. M., Janches, D., Stober, G., Carrillo‐Sánchez, J. D., Lieberman, R. S., Jacobi, C., Moffat‐Griffin, T., Mitchell, N. J., Cobbett, N., Batista, P. P., Andrioli, V. F., Buriti, R. A., Murphy, D. J., Kero, J., Gulbrandsen, N., Tsutsumi, M., Kozlovsky, A., Lester, M., Kim, J.-H., et al. (2024). Seasonal and Local Time Variation in the Observed Peak of the Meteor Altitude Distributions by Meteor Radars. Journal of Geophysical Research: Atmospheres, 129(21). Portico. https://doi.org/10.1029/2024jd040978", "relatedTo": { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "short_code": "ob" } }, { "ob_id": 96459, "function": "externalCitation", "linkage": "https://doi.org/10.1073/pnas.2321429121", "name": "Gao, Y., Eason, A., Ricoy, S., Cobb, A., Phung, R., Kashani, A., Mata, M. R., Sahm, A., Ortiz, N., Rao, S., & Cho, H. J. (2024). High-yield atmospheric water capture via bioinspired material segregation. Proceedings of the National Academy of Sciences, 121(44). https://doi.org/10.1073/pnas.2321429121", "relatedTo": { "ob_id": 37291, "uuid": "563cb665bc6e43f99b355a9bb8134317", "short_code": "ob" } }, { "ob_id": 96460, "function": "externalCitation", "linkage": "50|sygma_______::e26b3eeca0a7a8c925a796c105b0de28", "name": "Dall'Olmo, Giorgio, Nencioli, Francesco (2021). nullen-usGlobal ocean lagrangian trajectories based on AVISO velocities, v2.2.", "relatedTo": { "ob_id": 32738, "uuid": "5c2b70d069cb467ab73e80b84c3e395a", "short_code": "ob" } }, { "ob_id": 96461, "function": "externalCitation", "linkage": "https://doi.org/10.12688/openreseurope.14133.1", "name": "Dall’Olmo, G., Nencioli, F., Jackson, T., Brewin, R. J. W., Gittings, J. A., & Raitsos, D. E. (2021). Ocean Lagrangian Trajectories (OLTraj): Lagrangian analysis for non-expert users. Open Research Europe, 1, 117. https://doi.org/10.12688/openreseurope.14133.1", "relatedTo": { "ob_id": 32738, "uuid": "5c2b70d069cb467ab73e80b84c3e395a", "short_code": "ob" } }, { "ob_id": 96462, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023gl105698", "name": "Cummins, D. P., Guemas, V., Cox, C. J., Gallagher, M. R., & Shupe, M. D. (2023). Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning. Geophysical Research Letters, 50(23). Portico. https://doi.org/10.1029/2023gl105698", "relatedTo": { "ob_id": 7774, "uuid": "0844186db1ba9e20319a2560f8d61651", "short_code": "ob" } }, { "ob_id": 96463, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-2022-79", "name": "Pimlott, M. A., Pope, R. J., Kerridge, B. J., Latter, B. G., Knappett, D. S., Heard, D. E., Ventress, L. J., Siddans, R., Feng, W., & Chipperfield, M. P. (2022). Investigating the Global OH Radical Distribution Using Steady-State Approximations and Satellite Data. https://doi.org/10.5194/acp-2022-79", "relatedTo": { "ob_id": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "short_code": "ob" } }, { "ob_id": 96464, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41586-024-08396-8", "name": "Harris, S. J., Schwietzke, S., France, J. L., Velandia Salinas, N., Meixus Fernandez, T., Randles, C., Guanter, L., Irakulis-Loitxate, I., Calcan, A., Aben, I., Abrahamsson, K., Balcombe, P., Berchet, A., Biddle, L. C., Bittig, H. C., Böttcher, C., Bouvard, T., Broström, G., Bruch, V., et al. (2025). Methane emissions from the Nord Stream subsea pipeline leaks. Nature, 637(8048), 1124–1130. https://doi.org/10.1038/s41586-024-08396-8", "relatedTo": { "ob_id": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "short_code": "ob" } }, { "ob_id": 96465, "function": "externalCitation", "linkage": "https://doi.org/10.5194/acp-24-10639-2024", "name": "Wilson, C., Kerridge, B. J., Siddans, R., Moore, D. P., Ventress, L. J., Dowd, E., Feng, W., Chipperfield, M. P., & Remedios, J. J. (2024). Quantifying large methane emissions from the Nord Stream pipeline gas leak of September 2022 using IASI satellite observations and inverse modelling. Atmospheric Chemistry and Physics, 24(18), 10639–10653. https://doi.org/10.5194/acp-24-10639-2024", "relatedTo": { "ob_id": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "short_code": "ob" } }, { "ob_id": 96466, "function": "externalCitation", "linkage": "https://doi.org/10.5194/amt-2023-237", "name": "Dils, B., Zhou, M., Camy-Peyret, C., De Mazière, M., Kangah, Y., Langerock, B., Prunet, P., Serio, C., Siddans, R., & Kerridge, B. (2023). Independent validation of IASI/METOP-A LMD and RAL CH₄ products using CAMS model, in situ profiles and ground-based FTIR measurements. https://doi.org/10.5194/amt-2023-237", "relatedTo": { "ob_id": 29992, "uuid": "f717a8ea622f495397f4e76f777349d1", "short_code": "ob" } }, { "ob_id": 96467, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-18-1157-2024", "name": "Batrak, Y., Cheng, B., & Kallio-Myers, V. (2024). Sea ice cover in the Copernicus Arctic Regional Reanalysis. The Cryosphere, 18(3), 1157–1183. https://doi.org/10.5194/tc-18-1157-2024", "relatedTo": { "ob_id": 20365, "uuid": "bc3f8a3cf94c4d0180a60b7e2bfd9c5b", "short_code": "ob" } }, { "ob_id": 96468, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-2024-4", "name": "Zhao, F., Liang, X., Tian, Z., Li, M., Liu, N., & Liu, C. (2024). Southern Ocean Ice Prediction System version 1.0 (SOIPS v1.0): description of the system and evaluation of synoptic-scale sea ice forecasts. https://doi.org/10.5194/gmd-2024-4", "relatedTo": { "ob_id": 20365, "uuid": "bc3f8a3cf94c4d0180a60b7e2bfd9c5b", "short_code": "ob" } }, { "ob_id": 96469, "function": "externalCitation", "linkage": "https://doi.org/10.1101/2025.08.15.670310", "name": "Downie, J., Ordonez, A., Cambon, M. C., Hussain, U., Brown, N., Beckmann, M., Finch, J., Draper, J., Denman, S., & McDonald, J. E. (2025). Environment and disease have tissue-specific effects on the tree microbiome. https://doi.org/10.1101/2025.08.15.670310", "relatedTo": { "ob_id": 37213, "uuid": "aeb4ca481d634ec597831282c3baed32", "short_code": "ob" } }, { "ob_id": 96470, "function": "externalCitation", "linkage": "https://doi.org/10.1144/geoenergy2024-034", "name": "Roberts, T. A., Hartley, A. J., & Bond, C. E. (2025). Favourability index: an early-stage geospatial screening tool for low-enthalpy geothermal assessment mapping in superficial aquifers. Geoenergy, 3(1). https://doi.org/10.1144/geoenergy2024-034", "relatedTo": { "ob_id": 37208, "uuid": "59a7cd0dcd474f5f906ead4073a9be8b", "short_code": "ob" } }, { "ob_id": 96471, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023gh000812", "name": "Turnock, S. T., Reddington, C. L., West, J. J., & O’Connor, F. M. (2023). The Air Pollution Human Health Burden in Different Future Scenarios That Involve the Mitigation of Near‐Term Climate Forcers, Climate and Land‐Use. GeoHealth, 7(8). Portico. https://doi.org/10.1029/2023gh000812", "relatedTo": { "ob_id": 37296, "uuid": "406f88ee14f34177934b1dbd0be6aac7", "short_code": "ob" } }, { "ob_id": 96472, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10546-024-00887-5", "name": "Srivastava, P., Brooks, I. M., Prytherch, J., Salisbury, D. J., Renfrew, I. A., Elvidge, A. D., & Yelland, M. J. (2024). Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations. Boundary-Layer Meteorology, 190(11). https://doi.org/10.1007/s10546-024-00887-5", "relatedTo": { "ob_id": 37114, "uuid": "614752d35dc147a598d5421443fb50e8", "short_code": "ob" } }, { "ob_id": 96473, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023gl105698", "name": "Cummins, D. P., Guemas, V., Cox, C. J., Gallagher, M. R., & Shupe, M. D. (2023). Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning. Geophysical Research Letters, 50(23). Portico. https://doi.org/10.1029/2023gl105698", "relatedTo": { "ob_id": 37114, "uuid": "614752d35dc147a598d5421443fb50e8", "short_code": "ob" } }, { "ob_id": 96474, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2023gl105698", "name": "Cummins, D. P., Guemas, V., Cox, C. J., Gallagher, M. R., & Shupe, M. D. (2023). Surface Turbulent Fluxes From the MOSAiC Campaign Predicted by Machine Learning. Geophysical Research Letters, 50(23). Portico. https://doi.org/10.1029/2023gl105698", "relatedTo": { "ob_id": 37111, "uuid": "c6f1b1ff16f8407386e2d643bc5b916a", "short_code": "ob" } }, { "ob_id": 96475, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10546-024-00887-5", "name": "Srivastava, P., Brooks, I. M., Prytherch, J., Salisbury, D. J., Renfrew, I. A., Elvidge, A. D., & Yelland, M. J. (2024). Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations. Boundary-Layer Meteorology, 190(11). https://doi.org/10.1007/s10546-024-00887-5", "relatedTo": { "ob_id": 37111, "uuid": "c6f1b1ff16f8407386e2d643bc5b916a", "short_code": "ob" } }, { "ob_id": 96476, "function": "externalCitation", "linkage": "50|jairo_______::bf68bc4f608168dce081de6826a605ea", "name": "Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada. IEEE Transactions on Geoscience and Remote Sensing.", "relatedTo": { "ob_id": 32750, "uuid": "722fe4748da2487ead0a755f6d09e6ab", "short_code": "ob" } }, { "ob_id": 96477, "function": "externalCitation", "linkage": "50|jairo_______::bf68bc4f608168dce081de6826a605ea", "name": "Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada. IEEE Transactions on Geoscience and Remote Sensing.", "relatedTo": { "ob_id": 32751, "uuid": "f1b19872c12d477abfeb229f060a0969", "short_code": "ob" } }, { "ob_id": 96478, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.jeconom.2023.105479", "name": "Diebold, F. X., Rudebusch, G. D., Göbel, M., Goulet Coulombe, P., & Zhang, B. (2023). When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume. Journal of Econometrics, 236(2), 105479. https://doi.org/10.1016/j.jeconom.2023.105479", "relatedTo": { "ob_id": 32916, "uuid": "cfe938e70f8f4e98b0622296743f7913", "short_code": "ob" } }, { "ob_id": 96479, "function": "externalCitation", "linkage": "https://doi.org/10.5194/esd-2024-2", "name": "Harris, B. L., Quaife, T., Taylor, C. M., & Harris, P. P. (2024). Contrasting responses of vegetation productivity to intraseasonal rainfall in Earth System Models. https://doi.org/10.5194/esd-2024-2", "relatedTo": { "ob_id": 32199, "uuid": "70f40e63092b4f2ab9c9860b7093db00", "short_code": "coll" } }, { "ob_id": 96480, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00024-025-03795-y", "name": "Vinodhkumar, B., Mukherjee, S., Rao, K. K., Osuri, K. K., Dimri, A. P., Lohani, P., Kumar, K., & Niyogi, D. (2025). Sensitivity of Vegetation Type to the Simulation of Land Surface Conditions in the Foothills of Himalayas: Evaluation with In-Situ Observations and Reanalyses. Pure and Applied Geophysics, 182(10), 4213–4238. https://doi.org/10.1007/s00024-025-03795-y", "relatedTo": { "ob_id": 32299, "uuid": "28935552223242ca97953a8db99c2821", "short_code": "coll" } }, { "ob_id": 96481, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2025gl120513", "name": "Shen, X., Fan, Y., Livingstone, S. J., & Ke, C.-Q. (2026). Assessment of SWOT for Monitoring Ice‐Marginal Lake Water Levels in Greenland. Geophysical Research Letters, 53(5). Portico. https://doi.org/10.1029/2025gl120513", "relatedTo": { "ob_id": 32163, "uuid": "7ea7540135f441369716ef867d217519", "short_code": "ob" } }, { "ob_id": 96482, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41477-025-02096-5", "name": "Wang, F., Xue, M., Zhou, L., Doughty, C. E., Ciais, P., Reich, P. B., Shang, J., Chen, J. M., Liu, J., Green, J. K., Hao, D., Tao, S., Su, Y., Liu, L., Xia, J., Wang, H., Yu, K., Zhu, Z., Zhu, P., et al. (2025). Contrasting age-dependent leaf acclimation strategies drive vegetation greening across deciduous broadleaf forests in mid- to high latitudes. 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