Online Resource List
Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.
GET /api/v3/onlineresources/?format=api&offset=88000
{ "count": 88296, "next": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=88100", "previous": "https://catalogue.ceda.ac.uk/api/v3/onlineresources/?format=api&limit=100&offset=87900", "results": [ { "ob_id": 96244, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10021-022-00771-8", "name": "Buchwal, A., Bret-Harte, M. S., Bailey, H., & Welker, J. M. (2022). From Intra-plant to Regional Scale: June Temperatures and Regional Climates Directly and Indirectly Control Betula nana Growth in Arctic Alaska. Ecosystems, 26(3), 491–509. https://doi.org/10.1007/s10021-022-00771-8", "relatedTo": { "ob_id": 26858, "uuid": "b2f81914257c4188b181a4d8b0a46bff", "short_code": "ob" } }, { "ob_id": 96245, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s42965-024-00350-z", "name": "Ferreira, M. L., Von Dos Santos Veloso, R., De Oliveira, G. S., Queiroz, R. B., Araújo, F. H. V., De Andrade, A. M., & Da Silva, R. S. (2024). Effects of the climate change scenario on Coffea canephora production in Brazil using modeling tools. Tropical Ecology, 65(4), 559–571. https://doi.org/10.1007/s42965-024-00350-z", "relatedTo": { "ob_id": 26858, "uuid": "b2f81914257c4188b181a4d8b0a46bff", "short_code": "ob" } }, { "ob_id": 96246, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-18-2891-2026", "name": "Tellefsen, E. H., Tonboe, R. T., & Kolbe, W. M. (2026). Mapping sea ice concentration using Nimbus-5 ESMR and local dynamical tie points. Earth System Science Data, 18(4), 2891–2906. https://doi.org/10.5194/essd-18-2891-2026", "relatedTo": { "ob_id": 39465, "uuid": "34a15b96f1134d9e95b9e486d74e49cf", "short_code": "ob" } }, { "ob_id": 96247, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-2023-289", "name": "Kolbe, W. M., Tonboe, R. T., & Stroeve, J. (2023). Mapping of sea ice concentration using the NASA NIMBUS 5 ESMR microwave radiometer data 1972–1977. https://doi.org/10.5194/essd-2023-289", "relatedTo": { "ob_id": 39465, "uuid": "34a15b96f1134d9e95b9e486d74e49cf", "short_code": "ob" } }, { "ob_id": 96248, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-16-1247-2024", "name": "Kolbe, W. M., Tonboe, R. T., & Stroeve, J. (2024). Mapping of sea ice concentration using the NASA NIMBUS 5 Electrically Scanning Microwave Radiometer data from 1972–1977. Earth System Science Data, 16(3), 1247–1264. https://doi.org/10.5194/essd-16-1247-2024", "relatedTo": { "ob_id": 39465, "uuid": "34a15b96f1134d9e95b9e486d74e49cf", "short_code": "ob" } }, { "ob_id": 96249, "function": "externalCitation", "linkage": "https://doi.org/10.11583/dtu.27835929.v1", "name": "Tellefsen, E. H., Kolbe, W. M., & Tonboe, R. T. (2024). Updated Sea Ice Products for the NIMBUS 5 Electrically Scanning Microwave Radiometer data from 1972–1977 [Data set]. Technical University of Denmark. https://doi.org/10.11583/DTU.27835929.V1", "relatedTo": { "ob_id": 39465, "uuid": "34a15b96f1134d9e95b9e486d74e49cf", "short_code": "ob" } }, { "ob_id": 96250, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-024-01793-x", "name": "Goosse, H., Dalaiden, Q., Feba, F., Mezzina, B., & Fogt, R. L. (2024). A drop in Antarctic sea ice extent at the end of the 1970s. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01793-x", "relatedTo": { "ob_id": 39465, "uuid": "34a15b96f1134d9e95b9e486d74e49cf", "short_code": "ob" } }, { "ob_id": 96251, "function": "externalCitation", "linkage": "https://doi.org/10.1109/igarss53475.2024.10641054", "name": "Giménez, M. H., López-Martinez, C., Antropov, O., & Lopez-Sanchez, J. M. (2024). Role of Temporal Decorrelation in C-Band SAR Interferometry over Boreal and Temperate Forests. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 4230–4234. https://doi.org/10.1109/igarss53475.2024.10641054", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96252, "function": "externalCitation", "linkage": "50|CSC_________::d8f40de47e02fd61a9eb3d448889fdd2", "name": "McRoberts, Ronald E., Næsset, Erik, Sannier, Christophe, et al. (2020). Remote sensing support for the gain-loss approach for greenhouse gas inventories.", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96253, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41559-025-02702-x", "name": "Sanchez-Martinez, P., Martius, L. R., Bittencourt, P., Silva, M., Binks, O., Coughlin, I., Negrão-Rodrigues, V., Athaydes Silva, J., Da Costa, A. C. L., Selman, R., Rifai, S., Rowland, L., Mencuccini, M., & Meir, P. (2025). Amazon rainforest adjusts to long-term experimental drought. Nature Ecology & Evolution, 9(6), 970–979. https://doi.org/10.1038/s41559-025-02702-x", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96254, "function": "externalCitation", "linkage": "2117/441916", "name": "Herrera Giménez, Marc, López Martínez, Carlos (2025). Análisis de la decorrelación temporal InSAR en banda C sobre bosques boreales y templados. Recolector de Ciencia Abierta, RECOLECTA.", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96255, "function": "externalCitation", "linkage": "https://doi.org/10.3389/frsen.2024.1338618", "name": "Wigneron, J.-P., Ciais, P., Li, X., Brandt, M., Canadell, J. G., Tian, F., Wang, H., Bastos, A., Fan, L., Gatica, G., Kashyap, R., Liu, X., Sitch, S., Tao, S., Xiao, X., Yang, H., Espinoza Villar, J. C., Frappart, F., Li, W., et al. (2024). Global carbon balance of the forest: satellite-based L-VOD results over the last decade. Frontiers in Remote Sensing, 5. https://doi.org/10.3389/frsen.2024.1338618", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96256, "function": "externalCitation", "linkage": "https://doi.org/10.5194/bg-18-3343-2021", "name": "Shevtsova, I., Herzschuh, U., Heim, B., Schulte, L., Stünzi, S., Pestryakova, L. A., Zakharov, E. S., & Kruse, S. (2021). Recent above-ground biomass changes in central Chukotka (Russian Far East) using field sampling and Landsat satellite data. Biogeosciences, 18(11), 3343–3366. https://doi.org/10.5194/bg-18-3343-2021", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96257, "function": "externalCitation", "linkage": "https://doi.org/10.21203/rs.3.rs-71626/v1", "name": "Heinrich, V., Dalagnol, R., Cassol, H., Rosan, T., Almeida, C. T. d., Junior, C. H. L. S., Campanharo, W., House, J., Sitch, S., Hales, T., Adami, M., Anderson, L., & Aragão, L. (2020). Large carbon sink potential of Amazonian Secondary Forests to mitigate climate change. https://doi.org/10.21203/rs.3.rs-71626/v1", "relatedTo": { "ob_id": 29951, "uuid": "bedc59f37c9545c981a839eb552e4084", "short_code": "ob" } }, { "ob_id": 96258, "function": "externalCitation", "linkage": "https://doi.org/10.5194/tc-15-1907-2021", "name": "Pointner, G., Bartsch, A., Dvornikov, Y. A., & Kouraev, A. V. (2021). Mapping potential signs of gas emissions in ice of Lake Neyto, Yamal, Russia, using synthetic aperture radar and multispectral remote sensing data. The Cryosphere, 15(4), 1907–1929. https://doi.org/10.5194/tc-15-1907-2021", "relatedTo": { "ob_id": 31966, "uuid": "6ebcb73158b14cd5a321b7c0bc6ed393", "short_code": "ob" } }, { "ob_id": 96259, "function": "externalCitation", "linkage": "https://doi.org/10.5194/amt-16-4229-2023", "name": "Mynard, A., Kent, J., Smith, E. R., Wilson, A., Wivell, K., Nelson, N., Hort, M., Bowles, J., Tiddeman, D., Langridge, J. M., Drummond, B., & Abel, S. J. (2023). Long-term airborne measurements of pollutants over the United Kingdom to support air quality model development and evaluation. Atmospheric Measurement Techniques, 16(18), 4229–4261. https://doi.org/10.5194/amt-16-4229-2023", "relatedTo": { "ob_id": 39574, "uuid": "0aa1ec0cf18e4065bdae8ae39260fe7d", "short_code": "coll" } }, { "ob_id": 96260, "function": "externalCitation", "linkage": "https://doi.org/10.1080/21681376.2022.2074306", "name": "Kontou, D.-M. (2022). Developing polar data-cylinders to map spatiotemporal changes in Arctic sea ice. Regional Studies, Regional Science, 9(1), 320–323. https://doi.org/10.1080/21681376.2022.2074306", "relatedTo": { "ob_id": 25057, "uuid": "f17f146a31b14dfd960cde0874236ee5", "short_code": "ob" } }, { "ob_id": 96261, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-024-01827-4", "name": "O’Sullivan, M., Sitch, S., Friedlingstein, P., Luijkx, I. T., Peters, W., Rosan, T. M., Arneth, A., Arora, V. K., Chandra, N., Chevallier, F., Ciais, P., Falk, S., Feng, L., Gasser, T., Houghton, R. A., Jain, A. K., Kato, E., Kennedy, D., Knauer, J., et al. (2024). The key role of forest disturbance in reconciling estimates of the northern carbon sink. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01827-4", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96262, "function": "externalCitation", "linkage": "https://doi.org/10.2139/ssrn.5473180", "name": "Potter, S., Yang, Y., Burrell, A., Talucci, A., Clelland, A., Veraverbeke, S., Randerson, J. T., Goetz, S., Berner, L., Walker, X., Mack, M., Natali, S., & Rogers, B. M. (2025). Burned area mapping across the Arctic-boreal zone with Landsat and Sentinel-2 imagery. https://doi.org/10.2139/ssrn.5473180", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96263, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s44353-024-00013-z", "name": "Mosquera-Guerra, F., Moreno-Niño, N., Garcia-Suabita, W., & Armenteras-Pascual, D. (2024). Impact of wildfires on the suitability habitat of the lowland tapir in a native savanna landscape of northern South America. Discover Conservation, 1(1). https://doi.org/10.1007/s44353-024-00013-z", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96264, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-17-1525-2024", "name": "Tang, R., Jin, M., Mao, J., Ricciuto, D. M., Chen, A., & Zhang, Y. (2024). Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0. Geoscientific Model Development, 17(4), 1525–1542. https://doi.org/10.5194/gmd-17-1525-2024", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96265, "function": "externalCitation", "linkage": "https://doi.org/10.1134/s0010952524601324", "name": "Shinkarenko, S. S., & Bartalev, S. A. (2024). Application of Remote Sensing Data in Large-Scale Monitoring of Wetlands. Cosmic Research, 62(S1), S100–S114. https://doi.org/10.1134/s0010952524601324", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96266, "function": "externalCitation", "linkage": "https://doi.org/10.26848/rbgf.v14.6.p3225-3240", "name": "Antonio da Silva Júnior, J., Joaquim da Silva Júnior, U., & Da Penha Pacheco, A. (2021). Análise de acurácia para o mapeamento de áreas queimadas utilizando uma cena VIIRS 1Km e classificação por Random Forest. Revista Brasileira de Geografia Física, 14(6), 3225–3240. https://doi.org/10.26848/rbgf.v14.6.p3225-3240", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96267, "function": "externalCitation", "linkage": "https://doi.org/10.1088/1748-9326/adafc6", "name": "Baker, S. J., Perry, M. C., Betts, R. A., Schoenecker, J., & Pellegrini, A. F. A. (2025). Spikes in UK wildfire emissions driven by peatland fires in dry years. Environmental Research Letters, 20(3), 34028. https://doi.org/10.1088/1748-9326/adafc6", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96268, "function": "externalCitation", "linkage": "50|od______1064::c254edc37679dfaa2336cb67d2c66226", "name": "Li, S, Sparrow, SN, Otto, FEL, et al. (2022). Anthropogenic climate change contribution to wildfire-prone weather conditions in the Cerrado and Arc of deforestation. Oxford University Research Archive.", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96269, "function": "externalCitation", "linkage": "http://hdl.handle.net/2433/283306", "name": "Identifying the shift in global wildfire weather conditions over the past four decades: an analysis based on change-points and long-term trends. Geoscience Letters.", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96270, "function": "externalCitation", "linkage": "https://doi.org/10.70675/52d29fffz91d4z4c4bz8592zdb6936d57fd4", "name": "Holenstein, K. Permeability of European Protected Areas to Non-Native Species. https://doi.org/10.70675/52d29fffz91d4z4c4bz8592zdb6936d57fd4", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96271, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41477-026-02240-9", "name": "Yang, X., Tian, J., Ciais, P., Zhou, L., Reich, P. B., Wu, J., Shang, J., Chave, J., Lamour, J., Maréchaux, I., Fu, Y. H., Chen, J. M., Liu, J., Tao, S., Xiao, X., Xu, X., Su, Y., Zhang, H., Zhu, Z., et al. (2026). Amazon rainforests are rejuvenating their canopies by producing more photosynthetically efficient young leaves under climate change. Nature Plants, 12(3), 520–531. https://doi.org/10.1038/s41477-026-02240-9", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96272, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41597-025-04546-3", "name": "Karasante, I., Alonso, L., Prapas, I., Ahuja, A., Carvalhais, N., & Papoutsis, I. (2025). SeasFire cube - a multivariate dataset for global wildfire modeling. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-04546-3", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96273, "function": "externalCitation", "linkage": "https://doi.org/10.3390/conservation4030029", "name": "Boubekraoui, H., Attar, Z., Maouni, Y., Ghallab, A., Saidi, R., & Maouni, A. (2024). Forest Loss Drivers and Landscape Pressures in a Northern Moroccan Protected Areas’ Network: Introducing a Novel Approach for Conservation Effectiveness Assessment. Conservation, 4(3), 452–485. https://doi.org/10.3390/conservation4030029", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96274, "function": "externalCitation", "linkage": "https://doi.org/10.1088/1748-9326/ae2ca7", "name": "Armenteras, D., Garcia-Samaca, A., Garcia-Suabita, W., Mosquera-Guerra, F., & Dávalos, L. M. (2026). Afforestation reduces fire occurrence in Colombia’s tropical savannas. Environmental Research Letters, 21(1), 14018. https://doi.org/10.1088/1748-9326/ae2ca7", "relatedTo": { "ob_id": 26434, "uuid": "58f00d8814064b79a0c49662ad3af537", "short_code": "ob" } }, { "ob_id": 96275, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.isci.2024.111237", "name": "Hu, Q., Li, J., Xie, H., Huang, Y., Canadell, J. G., Yuan, W., Wang, J., Zhang, W., Yu, L., Li, S., Lu, X., Li, T., & Qin, Z. (2024). Global methane emissions from rice paddies: CH4MOD model development and application. iScience, 27(11), 111237. https://doi.org/10.1016/j.isci.2024.111237", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 96276, "function": "externalCitation", "linkage": "https://doi.org/10.1186/s40645-025-00711-9", "name": "Umezawa, T., Tohjima, Y., Terao, Y., Sasakawa, M., Müller, A., Saeki, T., Machida, T., Nakaoka, S.-I., Nara, H., Nomura, S., Nishihashi, M., Mukai, H., Frey, M. M., Morino, I., Ohyama, H., Yoshida, Y., Zeng, J., Noda, H., Saito, M., et al. (2025). Long-term and interannual variations of atmospheric methane observed by the NIES and collaborative observation networks. Progress in Earth and Planetary Science, 12(1). https://doi.org/10.1186/s40645-025-00711-9", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 96277, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024gb008484", "name": "Villalobos, Y., Canadell, J. G., Keller, E. D., Briggs, P. R., Ford, P., Harman, I. N., Hilton, T. W., Hogikyan, A., Lauerwald, R., Maher, D. T., Martinez, A., Pan, N., Poulter, B., Resplandy, L., Rosentreter, J. A., Saunois, M., Tian, H., Yeo, J., & Zhang, Z. (2025). Methane and Nitrous Oxide Budgets for Australasia: A Regional Assessment of Natural and Anthropogenic Sources and Sinks. Global Biogeochemical Cycles, 39(10). Portico. https://doi.org/10.1029/2024gb008484", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 96278, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jd042596", "name": "Zhang, P., Zhang, Y., & Liang, R. (2025). Correction of Simulation Biases in Stratospheric Methane Concentrations for the Inverse Analysis of Satellite Column Observations. Journal of Geophysical Research: Atmospheres, 130(16). Portico. https://doi.org/10.1029/2024jd042596", "relatedTo": { "ob_id": 30054, "uuid": "18ef8247f52a4cb6a14013f8235cc1eb", "short_code": "ob" } }, { "ob_id": 96279, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.10958782", "name": "Rameshwaran, P., Bell, V. A., Davies, H. N., Baron, H., Keller, V., & Hannaford, J. (2025). DATA DOCUMENTATION - CS-NOW: Gridded future projections of natural and artificially influenced river flows (1980 to 2080). Zenodo. https://doi.org/10.5281/ZENODO.10958782", "relatedTo": { "ob_id": 41555, "uuid": "cf66055440344d7eb9b6f834e81736c6", "short_code": "ob" } }, { "ob_id": 96280, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.13746896", "name": "Rameshwaran, P., Bell, V. A., Davies, H. N., Sadler, P., Beverton, A., & Thornton, R. (2025). DATA DOCUMENTATION - Gridded actual groundwater, surface water and tidal water abstraction, discharge and Hands-off Flow datasets for England (1999 to 2014). Zenodo. https://doi.org/10.5281/ZENODO.13746896", "relatedTo": { "ob_id": 43175, "uuid": "18886f95ba84447f997efac96df456ad", "short_code": "ob" } }, { "ob_id": 96281, "function": "externalCitation", "linkage": "https://doi.org/10.5522/04/26163916", "name": "Yilmaz, F., Tsamados, M., & Osborn, D. (2024). Rescued Ottoman Monthly Rainfall Data in Istanbul, Türkiye (1846-1917) [Data set]. University College London. https://doi.org/10.5522/04/26163916", "relatedTo": { "ob_id": 37370, "uuid": "c6e27bda1fc849c098a7fff7ff69fd5a", "short_code": "ob" } }, { "ob_id": 96282, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-17-6889-2025", "name": "Defratyka, S. M., Fernandez, J. M., Adnew, G. A., Dong, G., Douglas, P. M. J., Eldridge, D. L., Etiope, G., Giunta, T., Haghnegahdar, M. A., Hristov, A. N., Hultquist, N., Vadillo, I., Jautzy, J., Kim, J.-H., Labidi, J., Lalk, E., Leavitt, W., Li, J., Lin, L.-H., et al. (2025). Global inventory of doubly substituted isotopologues of methane (Δ ¹³CH₃D and Δ ¹²CH₂D₂). Earth System Science Data, 17(12), 6889–6910. https://doi.org/10.5194/essd-17-6889-2025", "relatedTo": { "ob_id": 43308, "uuid": "f90fc5b05bb4450f87e89b5f86038346", "short_code": "ob" } }, { "ob_id": 96283, "function": "externalCitation", "linkage": "https://doi.org/10.1111/geb.13773", "name": "Pugh, T. A. M., Seidl, R., Liu, D., Lindeskog, M., Chini, L. P., & Senf, C. (2023). The anthropogenic imprint on temperate and boreal forest demography and carbon turnover. Global Ecology and Biogeography, 33(1), 100–115. Portico. https://doi.org/10.1111/geb.13773", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96284, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-2024-218", "name": "Jones, M. W., Kelley, D. I., Burton, C. A., Di Giuseppe, F., Barbosa, M. L. F., Brambleby, E., Hartley, A. J., Lombardi, A., Mataveli, G., McNorton, J. R., Spuler, F. R., Wessel, J. B., Abatzoglou, J. T., Anderson, L. O., Andela, N., Archibald, S., Armenteras, D., Burke, E., Carmenta, R., et al. (2024). State of Wildfires 2023–24. https://doi.org/10.5194/essd-2024-218", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96285, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41893-025-01608-7", "name": "Becker, A., Wegner, J. D., Dawoe, E., Schindler, K., Thompson, W. J., Bunn, C., Garrett, R. D., Castro-Llanos, F., Hart, S. P., & Blaser-Hart, W. J. (2025). The unrealized potential of agroforestry for an emissions-intensive agricultural commodity. Nature Sustainability, 8(9), 994–1003. https://doi.org/10.1038/s41893-025-01608-7", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96286, "function": "externalCitation", "linkage": "https://doi.org/10.1186/s42408-024-00293-9", "name": "Tiwari, A., Nanjundan, P., Kumar, R. R., & Soni, V. K. (2024). A framework for natural resource management with geospatial machine learning: a case study of the 2021 Almora forest fires. Fire Ecology, 20(1). https://doi.org/10.1186/s42408-024-00293-9", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96287, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-024-01678-z", "name": "Shanley, C. S., Graves, R. A., Drever, C. R., Schindel, M., Robertson, J. C., Case, M. J., & Biswas, T. (2024). Mapping forest-based natural climate solutions. Communications Earth & Environment, 5(1). https://doi.org/10.1038/s43247-024-01678-z", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96288, "function": "externalCitation", "linkage": "https://doi.org/10.1080/10095020.2024.2429376", "name": "Kutchartt, E., González-Olabarria, J. R., Trasobares, A., Aquilué, N., Guerra-Hernández, J., Nunes, L., Sequeira, A. C., Botequim, B., Hauglin, M., Palaiologou, P., Cardil, A., Rogai, M., Vassilev, V., Pimont, F., Martin-Ducup, O., & Pirotti, F. (2024). Satellite-based mapping of canopy fuels at the pan-European scale. Geo-Spatial Information Science, 28(4), 1465–1493. https://doi.org/10.1080/10095020.2024.2429376", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96289, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.biocon.2024.110511", "name": "Ardiantiono, Deere, N. J., Ramadiyanta, E., Sibarani, M. C., Hadi, A. N., Andayani, N., Ginting, Y., Bull, J. W., & Struebig, M. J. (2024). Selecting umbrella species as mammal biodiversity indicators in tropical forest. Biological Conservation, 292, 110511. https://doi.org/10.1016/j.biocon.2024.110511", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96290, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024ms004747", "name": "Shu, S., Di Vittorio, A., Koven, C. D., Huang, M., Knox, R. G., Lemieux, G., & Holm, J. A. (2025). Investigating the Global Biogeophysical Impact of Area and Mass Based Wood Harvest in a Vegetation Demography Model. Journal of Advances in Modeling Earth Systems, 17(10). Portico. https://doi.org/10.1029/2024ms004747", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96291, "function": "externalCitation", "linkage": "https://doi.org/10.1371/journal.pone.0297439", "name": "Holler, S., Kübler, D., Conrad, O., Schmitz, O., Bonannella, C., Hengl, T., Böhner, J., Günter, S., & Lippe, M. (2024). Quo vadis, smallholder forest landscape? An introduction to the LPB-RAP model. Plos One, 19(2), e0297439. https://doi.org/10.1371/journal.pone.0297439", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96292, "function": "externalCitation", "linkage": "https://doi.org/10.31219/osf.io/4xnwb", "name": "Song, L., Frazier, A. E., Crawford, C. L., Estes, A. B., & Estes, L. (2024). Optimizing future cropland allocation in a biodiverse savanna by integrating agricultural benefits and ecological costs. https://doi.org/10.31219/osf.io/4xnwb", "relatedTo": { "ob_id": 33218, "uuid": "5f331c418e9f4935b8eb1b836f8a91b8", "short_code": "ob" } }, { "ob_id": 96293, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2026ms005807", "name": "Ma, R., Zhang, Y., Ciais, P., Li, W., Xiao, J., Wang, Y., Liu, L., & Zhu, S. (2026). Assimilation of Satellite‐Based Forest Biomass, Productivity and Leaf Area Index in a Global Land Model Incorporating Parameter Spatial Variations and Age Effects. Journal of Advances in Modeling Earth Systems, 18(7). Portico. https://doi.org/10.1029/2026ms005807", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96294, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41586-025-09870-7", "name": "Xu, Y., Ciais, P., Santoro, M., Bourgoin, C., Ritter, F., Pellissier-Tanon, A., Feng, Y., Zhou, C., He, G., Heinrich, V., Besnard, S., Robinson, N., Cook-Patton, S. C., Chave, J., Aragao, L. E. O. C., Ometto, J. P., Bowring, S. P. K., Fayad, I., Zhu, L., et al. (2026). Small persistent humid forest clearings drive tropical forest biomass losses. Nature, 649(8096), 375–380. https://doi.org/10.1038/s41586-025-09870-7", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96295, "function": "externalCitation", "linkage": "https://doi.org/10.3389/frsen.2025.1532280", "name": "Bossy, T., Ciais, P., Renaudineau, S., Wan, L., Ygorra, B., Adam, E., Barbier, N., Bauters, M., Delbart, N., Frappart, F., Gara, T. W., Hamunyela, E., Ifo, S. A., Jaffrain, G., Maisongrande, P., Mugabowindekwe, M., Mugiraneza, T., Normandin, C., Obame, C. V., et al. (2025). State of the art in remote sensing monitoring of carbon dynamics in African tropical forests. Frontiers in Remote Sensing, 6. https://doi.org/10.3389/frsen.2025.1532280", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96296, "function": "externalCitation", "linkage": "https://doi.org/10.1101/2025.09.02.673753", "name": "Laliberté, E., Caron-Guay, A., Le Falher, V., Tougas, G., Muller-Landau, H. C., Rivas-Torres, G., Walla, T. R., Baudchon, H., Hernandez, M., Buenaño, A., Weber, A., Chambers, J. Q., Inuma, J. C., Araúz, F., Valdes, J., Hernández, A., Brassfield, D., Filho, P. A., Vasquez, V., et al. (2025). Seeing the forest and the trees: a workflow for automatic acquisition of ultra-high resolution drone photos of tropical forest canopies to support botanical and ecological studies. https://doi.org/10.1101/2025.09.02.673753", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96297, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s10342-026-01900-x", "name": "Asif, B. S., & Fiorucci, P. (2026). Spatial Modelling of Trade-offs between Carbon Stocks and Potential Timber Volume under Wildfire Risk in European Forests. European Journal of Forest Research, 145(3). https://doi.org/10.1007/s10342-026-01900-x", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96298, "function": "externalCitation", "linkage": "50|jairo_______::bfb6325cd075d2a1b1838376a68623e9", "name": "Better monitoring of forests according to FAO’s definitions through map integration: Significance and limitations in the context of global environmental goals. JAIRO.", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96299, "function": "externalCitation", "linkage": "50|dedup_wf_002::73ae20b6b0fea97d066f729a356201c8", "name": "Mialon, Arnaud, Boitard, Simon, Rodríguez-Fernández, Nemesio, et al. (2024). 10 YEARS OF SMOS – PASSIVE MICROWAVE VEGETATION OPACITY STUDY (PM-VO-S) OSMOSE - Executive Summary Report. HAL-IRD.", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96300, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41597-023-02868-8", "name": "Avitabile, V., Pilli, R., Migliavacca, M., Duveiller, G., Camia, A., Blujdea, V., Adolt, R., Alberdi, I., Barreiro, S., Bender, S., Borota, D., Bosela, M., Bouriaud, O., Breidenbach, J., Cañellas, I., Čavlović, J., Colin, A., Di Cosmo, L., Donis, J., et al. (2024). Harmonised statistics and maps of forest biomass and increment in Europe. Scientific Data, 11(1). https://doi.org/10.1038/s41597-023-02868-8", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96301, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41598-026-37201-x", "name": "Haneda, L. E., de Almeida, D. R. A., Kamimura, R. A., Gomes, S. H. M., Sanchez, A. K., de Azevedo, B. P., de Souza, C. R., Naves, R. P., & Valle, D. (2026). Straightforward model-based approach using only field data and open-source maps to improve carbon stock estimates for REDD + projects. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-37201-x", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96302, "function": "externalCitation", "linkage": "https://doi.org/10.1186/s13021-025-00370-9", "name": "Guerra-Hernández, J., Mauro-Gutiérrez, F., Rodríguez-Puerta, F., & Pascual, A. (2025). Scaling and sampling dependencies of forest canopy height mapping towards jurisdictional biomass reporting using airborne LiDAR and small-area estimation. Carbon Balance and Management, 21(1). https://doi.org/10.1186/s13021-025-00370-9", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96303, "function": "externalCitation", "linkage": "https://doi.org/10.21203/rs.3.rs-4659226/v1", "name": "Robinson, N., Drever, R., Gibbs, D., Lister, K., Esquivel-Muel, A., Heinrich, V., Ciais, P., Silva-Junior, C., Liu, Z., Pugh, T., Satchi, S., XU, Y., & Cook-Patton, S. (2024). Protect young secondary forests for optimum carbon removal. https://doi.org/10.21203/rs.3.rs-4659226/v1", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96304, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41597-025-04481-3", "name": "Zang, J., Qiu, F., Zhang, Y., Shang, R., & Liang, Y. (2025). A dataset of forest regrowth in globally key deforestation regions. Scientific Data, 12(1). https://doi.org/10.1038/s41597-025-04481-3", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96305, "function": "externalCitation", "linkage": "https://doi.org/10.1080/10095020.2026.2681345", "name": "Feng, T., Shen, H., & Huang, W. (2026). Fine-scale simulation and projection of aboveground biomass dynamics in subtropical forests of Central-southern China: coupling remote sensing data and dynamic global vegetation model. Geo-Spatial Information Science, 1–19. https://doi.org/10.1080/10095020.2026.2681345", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96306, "function": "externalCitation", "linkage": "https://doi.org/10.1080/10106049.2025.2465446", "name": "Sandamali, J., & Narine, L. L. (2025). A data-driven, cloud-based approach for forest aboveground biomass mapping using GEDI and other earth observation data: an ecoregion-specific Investigation across the state of Alabama, USA. Geocarto International, 40(1). https://doi.org/10.1080/10106049.2025.2465446", "relatedTo": { "ob_id": 39899, "uuid": "af60720c1e404a9e9d2c145d2b2ead4e", "short_code": "ob" } }, { "ob_id": 96307, "function": "externalCitation", "linkage": "50|dedup_wf_002::47a152068713fb3d27afb9024aead1e1", "name": "Murillo Gallego, Macarena (2025). Valoración del proceso de cuantificación de carbono del sistema BASOKO en ecosistemas forestales del País Vasco. Recolector de Ciencia Abierta, RECOLECTA.", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96308, "function": "externalCitation", "linkage": "https://doi.org/10.1080/10095020.2024.2429376", "name": "Kutchartt, E., González-Olabarria, J. R., Trasobares, A., Aquilué, N., Guerra-Hernández, J., Nunes, L., Sequeira, A. C., Botequim, B., Hauglin, M., Palaiologou, P., Cardil, A., Rogai, M., Vassilev, V., Pimont, F., Martin-Ducup, O., & Pirotti, F. (2024). Satellite-based mapping of canopy fuels at the pan-European scale. Geo-Spatial Information Science, 28(4), 1465–1493. https://doi.org/10.1080/10095020.2024.2429376", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96309, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41597-024-03810-2", "name": "Skulovich, O., Li, X., Wigneron, J.-P., & Gentine, P. (2024). Global L-band equivalent AI-based vegetation optical depth dataset. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03810-2", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96310, "function": "externalCitation", "linkage": "https://doi.org/10.6084/m9.figshare.21258284.v1", "name": "Bastos, A., Ciais, P., Sitch, S., Aragão, L. E. O. C., Chevallier, F., Fawcett, D., Rosan, T. M., Saunois, M., Günther, D., Perugini, L., Robert, C., Deng, Z., Pongratz, J., Ganzenmüller, R., Fuchs, R., Winkler, K., Zaehle, S., & Albergel, C. (2022). Additional file 1 of On the use of Earth Observation to support estimates of national greenhouse gas emissions and sinks for the Global stocktake process: lessons learned from ESA-CCI RECCAP2. Figshare. https://doi.org/10.6084/M9.FIGSHARE.21258284.V1", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96311, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.jenvman.2024.120382", "name": "Augustynczik, A. L. D., Gusti, M., di Fulvio, F., Lauri, P., Forsell, N., & Havlík, P. (2024). Modelling the effects of climate and management on the distribution of deadwood in European forests. Journal of Environmental Management, 354, 120382. https://doi.org/10.1016/j.jenvman.2024.120382", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96312, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41558-023-01903-1", "name": "López-Blanco, E., Topp-Jørgensen, E., Christensen, T. R., Rasch, M., Skov, H., Arndal, M. F., Bret-Harte, M. S., Callaghan, T. V., & Schmidt, N. M. (2024). Towards an increasingly biased view on Arctic change. Nature Climate Change, 14(2), 152–155. https://doi.org/10.1038/s41558-023-01903-1", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96313, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s11273-026-10110-6", "name": "Ribeiro de Oliveira, V. F., Machado da Silva, B. H., Sato, A. A. d. S. A., Eduvirgem, R. V., Aoki, C., da Anunciação, V. S., & Bacani, V. M. (2026). Predictive modeling of carbon dynamics in Abobral Pantanal wetlands under land use scenarios using CA-Markov and InVEST. Wetlands Ecology and Management, 34(1). https://doi.org/10.1007/s11273-026-10110-6", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96314, "function": "externalCitation", "linkage": "https://doi.org/10.1111/nph.20423", "name": "Needham, J. F., Dey, S., Koven, C. D., Fisher, R. A., Knox, R. G., Lamour, J., Lemieux, G., Longo, M., Rogers, A., & Holm, J. (2025). Vertical canopy gradients of respiration drive plant carbon budgets and leaf area index. New Phytologist, 246(1), 144–157. Portico. https://doi.org/10.1111/nph.20423", "relatedTo": { "ob_id": 32065, "uuid": "84403d09cef3485883158f4df2989b0c", "short_code": "ob" } }, { "ob_id": 96315, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41598-026-57885-5", "name": "Lee, S., Choi, H.-I., Hwang, J.-W., Lee, J.-Y., Kim, D.-W., Choi, Y.-S., & Nam, H.-K. (2026). Multi-scale environmental drivers of heron and egret colony assemblages in Korea using self-organizing map clustering. Scientific Reports, 16(1). https://doi.org/10.1038/s41598-026-57885-5", "relatedTo": { "ob_id": 37340, "uuid": "26a0f46c95ee4c29b5c650b129aab788", "short_code": "ob" } }, { "ob_id": 96316, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jg008578", "name": "Qi, M., & Song, H. (2025). Dust Aerosols Enhance China’s Gross Primary Productivity by Increasing Diffuse Radiation. Journal of Geophysical Research: Biogeosciences, 130(8). Portico. https://doi.org/10.1029/2024jg008578", "relatedTo": { "ob_id": 37340, "uuid": "26a0f46c95ee4c29b5c650b129aab788", "short_code": "ob" } }, { "ob_id": 96317, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2025ef007248", "name": "Qi, J., Huang, Z., Yin, G., Suo, F., Ren, S., Yan, X., Bao, Y., Yin, Y., & Chen, B. (2026). Classification‐Based Greenspace Exposure Assessment Reveals the Compensatory Role of Urban Cropland in Greenspace Equity. Earth’s Future, 14(6). Portico. https://doi.org/10.1029/2025ef007248", "relatedTo": { "ob_id": 37340, "uuid": "26a0f46c95ee4c29b5c650b129aab788", "short_code": "ob" } }, { "ob_id": 96318, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2025gb008639", "name": "Ruyle, B. J., Merder, J., Spencer, R. G. M., McClelland, J. W., Tank, S. E., & Michalak, A. M. (2025). Changes in the Composition of Nitrogen Yields in Large Arctic Rivers Linked to Temperature and Precipitation. Global Biogeochemical Cycles, 39(7). Portico. https://doi.org/10.1029/2025gb008639", "relatedTo": { "ob_id": 37340, "uuid": "26a0f46c95ee4c29b5c650b129aab788", "short_code": "ob" } }, { "ob_id": 96319, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-026-03184-w", "name": "Germinario, L., Munari, M., Moro, I., Benavente, D., Terlizzi, F., & Mazzoli, C. (2026). Climate change and ocean acidification pose a risk to underwater cultural heritage. Communications Earth & Environment, 7(1). https://doi.org/10.1038/s43247-026-03184-w", "relatedTo": { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "short_code": "ob" } }, { "ob_id": 96320, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s43247-025-02525-5", "name": "Ludescher, J., Yuan, N., Schellnhuber, H. J., & Bunde, A. (2025). Natural variability-focused assessment of climate overshoot timing. Communications Earth & Environment, 6(1). https://doi.org/10.1038/s43247-025-02525-5", "relatedTo": { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "short_code": "ob" } }, { "ob_id": 96321, "function": "externalCitation", "linkage": "https://doi.org/10.1103/897x-zrmv", "name": "Taylor, C. C. (2026). Separating Greenhouse-Gas Driven Forcing from Natural Fluctuations in the Time Series for Global Mean Temperatures. Physical Review Letters, 136(10). https://doi.org/10.1103/897x-zrmv", "relatedTo": { "ob_id": 32899, "uuid": "98af2184e13e4b91893ab72f301790db", "short_code": "ob" } }, { "ob_id": 96322, "function": "externalCitation", "linkage": "https://doi.org/10.5445/ir/1000180488", "name": "Nakajima, Y., Weis, P., Weigend, F., Lukanowski, M., Misaizu, F., & Kappes, M. M. (2025). Lanthanide chloride clusters, LnₓCl₃ₓ₊₁ −, x = 1–6: an ion mobility and DFT study of isomeric structures and interconversion timescales. Royal Society of Chemistry (RSC). https://doi.org/10.5445/IR/1000180488", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96323, "function": "externalCitation", "linkage": "https://doi.org/10.1038/s41586-023-06794-y", "name": "Gottlieb, A. R., & Mankin, J. S. (2024). Evidence of human influence on Northern Hemisphere snow loss. Nature, 625(7994), 293–300. https://doi.org/10.1038/s41586-023-06794-y", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96324, "function": "externalCitation", "linkage": "https://doi.org/10.5194/hess-28-3855-2024", "name": "Jääskeläinen, E., Kouki, K., & Riihelä, A. (2024). Detecting snowfall events over the Arctic using optical and microwave satellite measurements. Hydrology and Earth System Sciences, 28(16), 3855–3870. https://doi.org/10.5194/hess-28-3855-2024", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96325, "function": "externalCitation", "linkage": "https://doi.org/10.3390/jimaging11070239", "name": "Malik, K., Isteyak, I., & Robertson, C. (2025). Estimating Snow-Related Daily Change Events in the Canadian Winter Season: A Deep Learning-Based Approach. Journal of Imaging, 11(7), 239. https://doi.org/10.3390/jimaging11070239", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96326, "function": "externalCitation", "linkage": "https://doi.org/10.3929/ethz-b-000613828", "name": "Bessenbacher, Verena. (2023). Closing the Gap: Understanding the Impact of Fragmented Land Surface Observations and Data-Driven Strategies for Consolidation [ETH Zurich]. https://doi.org/10.3929/ETHZ-B-000613828", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96327, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-18-7907-2025", "name": "Pietikäinen, J.-P., Sieck, K., Buntemeyer, L., Frisius, T., Nam, C., Hoffmann, P., Pop, C., Rechid, D., & Jacob, D. (2025). REMO2020: a modernised modular regional climate model. Geoscientific Model Development, 18(20), 7907–7949. https://doi.org/10.5194/gmd-18-7907-2025", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96328, "function": "externalCitation", "linkage": "https://doi.org/10.1080/07011784.2026.2616002", "name": "Soltani, M., Fletcher, C. G., Erler, A., Bunn, M. I., & Russell, H. A. J. (2026). Assessment of snow water equivalent characteristics in time and space over the Mackenzie River basin. Canadian Water Resources Journal / Revue Canadienne Des Ressources Hydriques, 51(2), 159–182. https://doi.org/10.1080/07011784.2026.2616002", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 96329, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-2021-435", "name": "Cai, Y., Duguay, C. R., & Ke, C.-Q. (2022). A 41-year (1979–2019) passive microwave derived lake ice phenology data record of the Northern Hemisphere. https://doi.org/10.5194/essd-2021-435", "relatedTo": { "ob_id": 30253, "uuid": "3c324bb4ee394d0d876fe2e1db217378", "short_code": "ob" } }, { "ob_id": 96330, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jc022023", "name": "Abbott, K., & Mahadevan, A. (2024). Why Is the Monsoon Coastal Upwelling Signal Subdued in the Bay of Bengal? Journal of Geophysical Research: Oceans, 129(12). Portico. https://doi.org/10.1029/2024jc022023", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96331, "function": "externalCitation", "linkage": "https://doi.org/10.16993/tellusb.1880", "name": "Kojoj, J., Freitas, G. P., Muilwijk, M., Granskog, M. A., Naakka, T., Ekman, A. M. L., Heutte, B., Schmale, J., Da Silva, A., Lapere, R., Marelle, L., Thomas, J. L., Melsheimer, C., Murray, B. J., & Zieger, P. (2024). An Arctic Marine Source of Fluorescent Primary Biological Aerosol Particles During the Transition from Summer to Autumn at the North Pole. Tellus B: Chemical and Physical Meteorology, 76(1). https://doi.org/10.16993/tellusb.1880", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96332, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2026jg009926", "name": "Yang, J., Chen, P., Zhang, S., Zhang, Z., & Pan, D. (2026). Asymmetric Phytoplankton Responses to El Niño Diversity in the China Seas Mediated by the Western North Pacific Subtropical High. Journal of Geophysical Research: Biogeosciences, 131(6). Portico. https://doi.org/10.1029/2026jg009926", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96333, "function": "externalCitation", "linkage": "https://doi.org/10.5194/essd-18-969-2026", "name": "Ford, D. J., Shutler, J. D., Sheen, K. L., Tilstone, G. H., & Kitidis, V. (2026). UEx-L-Eddies: decadal and global long-lived mesoscale eddy trajectories with coincident air–sea CO₂ fluxes and environmental conditions. Earth System Science Data, 18(2), 969–988. https://doi.org/10.5194/essd-18-969-2026", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96334, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jc021527", "name": "Gévaudan, M., Jouanno, J., Aumont, O., & Boutin, J. (2025). On the Importance of Riverine Organic Matter for the Amazon Plume: A Modeling Study. Journal of Geophysical Research: Oceans, 130(5). Portico. https://doi.org/10.1029/2024jc021527", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96335, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024gl111817", "name": "Volta, C., Bellacicco, M., Xing, X., Yang, G., & Marullo, S. (2025). Phytoplankton Dynamics in Subtropical Gyres: New Insights Into Biomass and Physiology From 25 Years of Satellite Observations. Geophysical Research Letters, 52(12). Portico. https://doi.org/10.1029/2024gl111817", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96336, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2026gb009279", "name": "Sun, D., Huang, W., Ye, Z., Wang, S., & Zhang, H. (2026). Global Patterns of Oceanic Nitrogen Fixation Over the Past Two Decades. Global Biogeochemical Cycles, 40(6). Portico. https://doi.org/10.1029/2026gb009279", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96337, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2024jc022029", "name": "Cirivello, R. M., Mouw, C. B., Ciochetto, A. B., & Hyde, K. J. W. (2025). Drivers of Phytoplankton Communities Across Thermal Regimes and Marine Heatwaves in the U.S. Northeast Shelf. Journal of Geophysical Research: Oceans, 130(8). Portico. https://doi.org/10.1029/2024jc022029", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96338, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2025gl118274", "name": "Deng, P., He, S., Zhang, Z., Smith, W. O., He, J., Lan, M., Du, Z., & Le, C. (2025). Increased Carbon Sink Within the Seasonal Sea Ice Zone Associated With Climate Variability in the Southern Ocean. Geophysical Research Letters, 52(20). Portico. https://doi.org/10.1029/2025gl118274", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96339, "function": "externalCitation", "linkage": "https://doi.org/10.1029/2025gl121124", "name": "Zhou, J., Liu, X., Laws, E. A., Laufkötter, C., Li, W., Wang, J., Li, C., Xiao, W., Shen, Y., & Huang, B. (2026). Beyond the Nutrient Paradigm: Thermal Intensity and Duration Trigger Opposite Phytoplankton Responses to Marine Heatwaves in the East China Sea. Geophysical Research Letters, 53(8). Portico. https://doi.org/10.1029/2025gl121124", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96340, "function": "externalCitation", "linkage": "https://doi.org/10.5194/gmd-18-5245-2025", "name": "Drenkard, E. J., Stock, C. A., Ross, A. C., Teng, Y.-C., Cordero, T., Cheng, W., Adcroft, A., Curchitser, E., Dussin, R., Hallberg, R., Hauri, C., Hedstrom, K., Hermann, A., Jacox, M. G., Kearney, K. A., Pagès, R., Pilcher, D. J., Pozo Buil, M., Seelanki, V., & Zadeh, N. (2025). A regional physical–biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0). Geoscientific Model Development, 18(16), 5245–5290. https://doi.org/10.5194/gmd-18-5245-2025", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96341, "function": "externalCitation", "linkage": "https://doi.org/10.22541/essoar.170688951.18125151/v1", "name": "Gregor, L., Shutler, J., & Gruber, N. (2024). High resolution variability of the ocean carbon sink. https://doi.org/10.22541/essoar.170688951.18125151/v1", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 96342, "function": "externalCitation", "linkage": "https://doi.org/10.1080/17538947.2024.2385079", "name": "Ortet, J., Mialon, A., Kerr, Y., Royer, A., Berg, A., Boike, J., Humphreys, E., Gibon, F., Richaume, P., Bircher-Adrot, S., Gorrab, A., & Roy, A. (2024). Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data. International Journal of Digital Earth, 17(1). https://doi.org/10.1080/17538947.2024.2385079", "relatedTo": { "ob_id": 38335, "uuid": "ea3eb0714dc6402b905fe9f7ee50dbbc", "short_code": "coll" } }, { "ob_id": 96343, "function": "externalCitation", "linkage": "50|dedup_wf_002::fe8a79b79d9bbf7766b73ef40309021a", "name": "Ortet, Juliette (2025). Observations of soil surface temperatures over the whole Arctic permafrost area using remote sensing. HAL-IRD.", "relatedTo": { "ob_id": 38335, "uuid": "ea3eb0714dc6402b905fe9f7ee50dbbc", "short_code": "coll" } } ] }