Online Resource List
Get a list of Instrument objects. Instruments have a 1:1 mapping with Observations.
GET /api/v3/onlineresources/?format=api&offset=86500
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(2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.26 (v20220616). https://doi.org/10.5285/85168E39BFFF444BA02BF55E7682F73D", "relatedTo": { "ob_id": 37570, "uuid": "a8915aca7806434984baab86835a1b18", "short_code": "ob" } }, { "ob_id": 94614, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986372", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.28. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986372", "relatedTo": { "ob_id": 37520, "uuid": "38512cd8209b4669a0743e9672f70a6e", "short_code": "ob" } }, { "ob_id": 94615, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986370", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.27. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986370", "relatedTo": { "ob_id": 37567, "uuid": "ceae289f1a56414ea708f43db83fc2c6", "short_code": "ob" } }, { "ob_id": 94616, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986368", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.26. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986368", "relatedTo": { "ob_id": 37561, "uuid": "85168e39bfff444ba02bf55e7682f73d", "short_code": "ob" } }, { "ob_id": 94617, "function": "externalCitation", "linkage": "https://doi.org/10.5285/a8915aca7806434984baab86835a1b18", "name": "AchutaRao, K. & Malinina, E. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.29 (v20220616). https://doi.org/10.5285/A8915ACA7806434984BAAB86835A1B18", "relatedTo": { "ob_id": 37561, "uuid": "85168e39bfff444ba02bf55e7682f73d", "short_code": "ob" } }, { "ob_id": 94618, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986364", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.24. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986364", "relatedTo": { "ob_id": 37514, "uuid": "a71383af93af4f58ae27d66ba15b3543", "short_code": "ob" } }, { "ob_id": 94619, "function": "externalCitation", "linkage": "https://doi.org/10.5285/25d4a6597d954721bc4a616d094b0cda", "name": "Gier, T. & Bock, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.32 (v20211210). https://doi.org/10.5285/25D4A6597D954721BC4A616D094B0CDA", "relatedTo": { "ob_id": 33399, "uuid": "a4cbbffe1bd44c7ba3e8608ee9c54547", "short_code": "ob" } }, { "ob_id": 94620, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986380", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.31. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986380", "relatedTo": { "ob_id": 33399, "uuid": "a4cbbffe1bd44c7ba3e8608ee9c54547", "short_code": "ob" } }, { "ob_id": 94621, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986382", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.32. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986382", "relatedTo": { "ob_id": 33446, "uuid": "25d4a6597d954721bc4a616d094b0cda", "short_code": "ob" } }, { "ob_id": 94622, "function": "externalCitation", "linkage": "https://doi.org/10.5285/a4cbbffe1bd44c7ba3e8608ee9c54547", "name": "Gier, T. & Bock, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.31 (v20211203). https://doi.org/10.5285/A4CBBFFE1BD44C7BA3E8608EE9C54547", "relatedTo": { "ob_id": 33446, "uuid": "25d4a6597d954721bc4a616d094b0cda", "short_code": "ob" } }, { "ob_id": 94623, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986394", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.39. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986394", "relatedTo": { "ob_id": 37529, "uuid": "02006a22c33b42039d96be53d332930a", "short_code": "ob" } }, { "ob_id": 94624, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986398", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.40. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986398", "relatedTo": { "ob_id": 37532, "uuid": "12f0d7db5ed747d2940210e52211ed6a", "short_code": "ob" } }, { "ob_id": 94625, "function": "externalCitation", "linkage": "https://doi.org/10.5285/8af00e7bba784c1cbf4c16fef984aeb6", "name": "Kosaka, Y., McGregor, S., Cassou, C. & Kazeroni, R. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.36 (v20220620). https://doi.org/10.5285/8AF00E7BBA784C1CBF4C16FEF984AEB6", "relatedTo": { "ob_id": 37584, "uuid": "babcd0de678e4d10aef395f1a265da03", "short_code": "ob" } }, { "ob_id": 94626, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986388", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.35. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986388", "relatedTo": { "ob_id": 37526, "uuid": "ef5ca18bcaf441d9993f181a058016ba", "short_code": "ob" } }, { "ob_id": 94627, "function": "externalCitation", "linkage": "https://doi.org/10.5285/babcd0de678e4d10aef395f1a265da03", "name": "Kosaka, Y., McGregor, S., Cassou, C. & Kazeroni, R. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.37 (v20220620). https://doi.org/10.5285/BABCD0DE678E4D10AEF395F1A265DA03", "relatedTo": { "ob_id": 37581, "uuid": "8af00e7bba784c1cbf4c16fef984aeb6", "short_code": "ob" } }, { "ob_id": 94628, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986402", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.42. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986402", "relatedTo": { "ob_id": 33180, "uuid": "e3d21f98cc764d1185b0d6e662532831", "short_code": "ob" } }, { "ob_id": 94629, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986406", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.44. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986406", "relatedTo": { "ob_id": 37564, "uuid": "d35ac1955c264deea9699d08dbc568f2", "short_code": "ob" } }, { "ob_id": 94630, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986418", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.9. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986418", "relatedTo": { "ob_id": 33174, "uuid": "bbb759da50fe4cd5a1387c7462655908", "short_code": "ob" } }, { "ob_id": 94631, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986414", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.7. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986414", "relatedTo": { "ob_id": 37391, "uuid": "392c8351349b4436923c102c558873d9", "short_code": "ob" } }, { "ob_id": 94632, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986408", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.5. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986408", "relatedTo": { "ob_id": 33164, "uuid": "b6ca8b2d797348dd86823cfc2da7ba83", "short_code": "ob" } }, { "ob_id": 94633, "function": "externalCitation", "linkage": "https://doi.org/10.5285/06a4ad1656774087a5b6db3c7a57211e", "name": "Bock, L. (2022) Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.4 (v20211028). https://doi.org/10.5285/06A4AD1656774087A5B6DB3C7A57211E", "relatedTo": { "ob_id": 34660, "uuid": "c3450dc769f044898ea5f3be784f354b", "short_code": "ob" } }, { "ob_id": 94634, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986412", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 3.6. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986412", "relatedTo": { "ob_id": 34660, "uuid": "c3450dc769f044898ea5f3be784f354b", "short_code": "ob" } }, { "ob_id": 94635, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986426", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 4.22. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986426", "relatedTo": { "ob_id": 39651, "uuid": "9527d9be07c243599f00af5ab945c7ed", "short_code": "ob" } }, { "ob_id": 94636, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986428", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 4.23. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986428", "relatedTo": { "ob_id": 39654, "uuid": "34810c5e2d2047b487ade01830cac1f4", "short_code": "ob" } }, { "ob_id": 94637, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986438", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 4.32. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986438", "relatedTo": { "ob_id": 40116, "uuid": "0192ae3037794e0eb93b022c5140f399", "short_code": "ob" } }, { "ob_id": 94638, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986436", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 4.31. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986436", "relatedTo": { "ob_id": 40113, "uuid": "8fa708d0474d4a3caa5c9f645a89d282", "short_code": "ob" } }, { "ob_id": 94639, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986430", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 4.24. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986430", "relatedTo": { "ob_id": 39721, "uuid": "5ed073b87dbc45d6a66d7c704caef01d", "short_code": "ob" } }, { "ob_id": 94640, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986444", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 5.33. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986444", "relatedTo": { "ob_id": 37608, "uuid": "85409987ce6a4976b0845b512baa2843", "short_code": "ob" } }, { "ob_id": 94641, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986448", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 6.21. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986448", "relatedTo": { "ob_id": 38244, "uuid": "572c9744ddab47fc8a5b938c4a4f7387", "short_code": "ob" } }, { "ob_id": 94642, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986450", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 6.SM.4. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986450", "relatedTo": { "ob_id": 38269, "uuid": "56c283c79666449ebe0235e809bdb69f", "short_code": "ob" } }, { "ob_id": 94643, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986463", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 8.16. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986463", "relatedTo": { "ob_id": 37767, "uuid": "92dc7ae089d84a43a28099ae49633383", "short_code": "ob" } }, { "ob_id": 94644, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986465", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 8.17. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986465", "relatedTo": { "ob_id": 37770, "uuid": "7da00222bbb345c99ce14e358cde9f6d", "short_code": "ob" } }, { "ob_id": 94645, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986459", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 8.15. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986459", "relatedTo": { "ob_id": 37764, "uuid": "2d67a9f7631247d7bb6130ddc033ba7a", "short_code": "ob" } }, { "ob_id": 94646, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986469", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 8.21. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986469", "relatedTo": { "ob_id": 37779, "uuid": "b03a4577108545c2a05bbae2d9759f9d", "short_code": "ob" } }, { "ob_id": 94647, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986471", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 8.25. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986471", "relatedTo": { "ob_id": 37782, "uuid": "47961b1927b8492990ed92f10a514b6b", "short_code": "ob" } }, { "ob_id": 94648, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986479", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 9.12. ed. by M. Stockhause. https://doi.org/10.5281/ZENODO.14986479", "relatedTo": { "ob_id": 37727, "uuid": "b37501409dd641219dd7c57174acdc35", "short_code": "ob" } }, { "ob_id": 94649, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.14986528", "name": "IPCC Data Distribution Centre (2025) CMIP6 input data usage information for IPCC WGI AR6 figure 9.15. ed. by M. 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(2015) Gridded Global Surface Ozone Metrics data (1971-2015) for Atmospheric Chemistry Model Evaluation - version 2.7. https://doi.org/10.5285/897A3958-5BFC-4311-9BB0-01134BF6AEFA", "relatedTo": { "ob_id": 12399, "uuid": "a3931d0dfcc243ab8d93603c8ee58811", "short_code": "ob" } }, { "ob_id": 94660, "function": "externalCitation", "linkage": "https://doi.org/10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452", "name": "Evans, M.J. & Sofen, E.D. (2015) Gridded Global Surface Ozone Metrics data (1971-2015) for Atmospheric Chemistry Model Evaluation - version 2.4. https://doi.org/10.5285/08FBE63D-FA6D-4A7A-B952-5932E3AB0452", "relatedTo": { "ob_id": 13832, "uuid": "c0455ab814224a05ac74642d3d44b73e", "short_code": "ob" } }, { "ob_id": 94661, "function": "externalCitation", "linkage": "https://doi.org/10.5285/47140d618dcc40309e1edbca7e773478", "name": "Piollé, J.-F., Dodet, G. & Quilfen, Y. (2020) ESA Sea State Climate Change Initiative (Sea_State_cci) : Global remote sensing merged multi-mission monthly gridded significant wave height, L4 product, version 1.1. https://doi.org/10.5285/47140D618DCC40309E1EDBCA7E773478", "relatedTo": { "ob_id": 30006, "uuid": "3ef6a5a66e9947d39b356251909dc12b", "short_code": "ob" } }, { "ob_id": 94662, "function": "externalCitation", "linkage": "https://doi.org/10.5285/f91cd3ee7b6243d5b7d41b9beaf397e1", "name": "Piollé, J.-F., Dodet, G. & Quilfen, Y. (2020) ESA Sea State Climate Change Initiative (Sea_State_cci): Global remote sensing multi-mission along-track significant wave height, L2P product, version 1.1. https://doi.org/10.5285/F91CD3EE7B6243D5B7D41B9BEAF397E1", "relatedTo": { "ob_id": 30006, "uuid": "3ef6a5a66e9947d39b356251909dc12b", "short_code": "ob" } }, { "ob_id": 94663, "function": "externalCitation", "linkage": "https://doi.org/10.5285/4647cc9ad3c044439d6c643208d3c494", "name": "Luojus, K., Moisander, M., Pulliainen, J., Takala, M., Lemmetyinen, J., Derksen, C., Mortimer, C., Schwaizer, G., Nagler, T. & Venäläinen, P. (2022) ESA Snow Climate Change Initiative (Snow_cci): Snow Water Equivalent (SWE) level 3C daily global climate research data package (CRDP) (1979 – 2020), version 2.0. https://doi.org/10.5285/4647CC9AD3C044439D6C643208D3C494", "relatedTo": { "ob_id": 29998, "uuid": "fa20aaa2060e40cabf5fedce7a9716d0", "short_code": "ob" } }, { "ob_id": 94664, "function": "externalCitation", "linkage": "https://doi.org/10.3390/agriculture12010058", "name": "Yin, D., Yu, H., Ma, J., Liu, J., Liu, G. & Chen, F. (2022) Interaction and Coupling Mechanism between Recessive Land Use Transition and Food Security: A Case Study of the Yellow River Basin in China. Agriculture 12, 58. https://doi.org/10.3390/agriculture12010058", "relatedTo": { "ob_id": 31992, "uuid": "4fa633d24d104217a4c9d3fb3589f35d", "short_code": "ob" } }, { "ob_id": 94665, "function": "externalCitation", "linkage": "https://doi.org/10.3390/agriculture12010058", "name": "Yin, D., Yu, H., Ma, J., Liu, J., Liu, G. & Chen, F. (2022) Interaction and Coupling Mechanism between Recessive Land Use Transition and Food Security: A Case Study of the Yellow River Basin in China. Agriculture 12, 58. https://doi.org/10.3390/agriculture12010058", "relatedTo": { "ob_id": 31989, "uuid": "7aa17e66aaab4ece87064272b9f94e3a", "short_code": "ob" } }, { "ob_id": 94666, "function": "externalCitation", "linkage": "https://doi.org/10.25592/uhhfdm.10413", "name": "Kern, S. (2022) Spatial correlation length scales of sea-ice concentration errors of high-concentration pack ice for ESA-CCI-SICCI2-50km. https://doi.org/10.25592/UHHFDM.10413", "relatedTo": { "ob_id": 25058, "uuid": "5f75fcb0c58740d99b07953797bc041e", "short_code": "ob" } }, { "ob_id": 94667, "function": "externalCitation", "linkage": "https://doi.org/10.25592/uhhfdm.10409", "name": "Kern, S. (2022) Spatial correlation length scales of sea-ice concentration errors of high-concentration pack ice for ESA-CCI-SICCI2-25km. https://doi.org/10.25592/UHHFDM.10409", "relatedTo": { "ob_id": 25057, "uuid": "f17f146a31b14dfd960cde0874236ee5", "short_code": "ob" } }, { "ob_id": 94668, "function": "externalCitation", "linkage": "https://doi.org/10.5285/763eb87e0682446cafa8c74488dd5fb8", "name": "Naegeli, K., Neuhaus, C., Salberg, A.-B., Schwaizer, G., Weber, H., Wiesmann, A., Wunderle, S. & Nagler, T. (2022) ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable (SCFV) from AVHRR (1982 - 2018), version 2.0. https://doi.org/10.5285/763EB87E0682446CAFA8C74488DD5FB8", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 94669, "function": "externalCitation", "linkage": "https://doi.org/10.5285/3f034f4a08854eb59d58e1fa92d207b6", "name": "Naegeli, K., Neuhaus, C., Salberg, A.-B., Schwaizer, G., Weber, H., Wiesmann, A., Wunderle, S. & Nagler, T. (2022) ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from AVHRR (1982 - 2018), version 2.0. https://doi.org/10.5285/3F034F4A08854EB59D58E1FA92D207B6", "relatedTo": { "ob_id": 31200, "uuid": "4647cc9ad3c044439d6c643208d3c494", "short_code": "ob" } }, { "ob_id": 94670, "function": "externalCitation", "linkage": "20.500.14243/400099", "name": "not a doi", "relatedTo": { "ob_id": 30253, "uuid": "3c324bb4ee394d0d876fe2e1db217378", "short_code": "ob" } }, { "ob_id": 94671, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.15307008", "name": "Kostadinov, T.S., Taniguchi, D.A.A., Carroll, D. & Wilhelmus, M.M. (2025) Mesozooplankton Abundance, Biomass, and Diel Vertical Migration via Passive Ocean Color Retrievals of the Particle Size Distribution (PSD). https://doi.org/10.5281/ZENODO.15307008", "relatedTo": { "ob_id": 39943, "uuid": "5011d22aae5a4671b0cbc7d05c56c4f0", "short_code": "coll" } }, { "ob_id": 94672, "function": "externalCitation", "linkage": "https://doi.org/10.5285/b1ad4c02319b438884a72fea34cb5a18", "name": "Canadell, J., Cox, P., Jones, C., Koven, C., Monteiro, P., Rogelj, J., Zaehle, S. & Zickfeld, K. (2021) Summary for Policymakers of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure SPM.7 (v20210809). https://doi.org/10.5285/B1AD4C02319B438884A72FEA34CB5A18", "relatedTo": { "ob_id": 32874, "uuid": "2787230b963942009e452255a3880609", "short_code": "ob" } }, { "ob_id": 94673, "function": "externalCitation", "linkage": "https://doi.org/10.5285/705abc2d9988444ba79e942f22219bc0", "name": "Sodemann, H. & Weng, Y. (2022) Iceland Greenland Seas Project (IGP): water isotope measurements from the University of Bergen vapour isotope analyzer on board the NATO Research Vessel Alliance within SNOWPACE. https://doi.org/10.5285/705ABC2D9988444BA79E942F22219BC0", "relatedTo": { "ob_id": 34698, "uuid": "7c8ce1c47da548a08146fa62158303c5", "short_code": "ob" } }, { "ob_id": 94674, "function": "externalCitation", "linkage": "https://doi.org/10.5285/7c8ce1c47da548a08146fa62158303c5", "name": "Sodemann, H. & Touzeau, A. (2022) Iceland Greenland Seas Project (IGP): water isotope measurements from the University of Bergen vapour isotope analyzer on board the BAS research aircraft MASIN within SNOWPACE. https://doi.org/10.5285/7C8CE1C47DA548A08146FA62158303C5", "relatedTo": { "ob_id": 34692, "uuid": "705abc2d9988444ba79e942f22219bc0", "short_code": "ob" } }, { "ob_id": 94675, "function": "externalCitation", "linkage": "https://doi.org/10.1594/pangaea.947033", "name": "Sodemann, H. & Touzeau, A. (2022) Water isotope measurements from the Marginal Ice Zone and Fram strait during the INTAROS cruise, August 2018. https://doi.org/10.1594/PANGAEA.947033", "relatedTo": { "ob_id": 34692, "uuid": "705abc2d9988444ba79e942f22219bc0", "short_code": "ob" } }, { "ob_id": 94676, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.5082982", "name": "Nencioli, F. & Dall’Olmo, G. (2021) Code to generate OLTraj product. Zenodo. https://doi.org/10.5281/ZENODO.5082982", "relatedTo": { "ob_id": 32470, "uuid": "fe3cb5120fa74fa7974820c2e2a238a7", "short_code": "ob" } }, { "ob_id": 94677, "function": "externalCitation", "linkage": "https://doi.org/10.5285/5c2b70d069cb467ab73e80b84c3e395a", "name": "Dall’Olmo, G. & Nencioli, F. (2021) Global ocean lagrangian trajectories based on AVISO velocities, v2.2. https://doi.org/10.5285/5C2B70D069CB467AB73E80B84C3E395A", "relatedTo": { "ob_id": 32470, "uuid": "fe3cb5120fa74fa7974820c2e2a238a7", "short_code": "ob" } }, { "ob_id": 94678, "function": "externalCitation", "linkage": "https://doi.org/10.5285/d2eea061026240eb8a2f9cc64a691338", "name": "Dorigo, W., Wagner, W., Gruber, A., Scanlon, T., Hahn, S., Kidd, R., Paulik, C., Reimer, C., Van Der Schalie, R. & De Jeu, R. (2018) ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 03.2 data collection. https://doi.org/10.5285/D2EEA061026240EB8A2F9CC64A691338", "relatedTo": { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll" } }, { "ob_id": 94679, "function": "externalCitation", "linkage": "https://doi.org/10.5285/f4f77c55fd304ada9bfe2195927a053b", "name": "Wagner, W., Dorigo, W., Chung, D., et al. (2018) ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 02.1 data collection. https://doi.org/10.5285/F4F77C55FD304ADA9BFE2195927A053B", "relatedTo": { "ob_id": 26165, "uuid": "3729b3fbbb434930bf65d82f9b00111c", "short_code": "coll" } }, { "ob_id": 94680, "function": "externalCitation", "linkage": "https://doi.org/10.5285/004a2953edbc4c2e9b89bda0e2009e55", "name": "Embury, O., Bulgin, C.E. & Mittaz, J. (2019) ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Collated (L3C) Climate Data Record, version 2.0. https://doi.org/10.5285/004A2953EDBC4C2E9B89BDA0E2009E55", "relatedTo": { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob" } }, { "ob_id": 94681, "function": "externalCitation", "linkage": "https://doi.org/10.5285/7db4459605da4665b6ab9a7102fb4875", "name": "Embury, O., Bulgin, C.E. & Mittaz, J. (2019) ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Collated (L3C) Climate Data Record, version 2.1. https://doi.org/10.5285/7DB4459605DA4665B6AB9A7102FB4875", "relatedTo": { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob" } }, { "ob_id": 94682, "function": "externalCitation", "linkage": "https://doi.org/10.5285/79dd8e867b5a4bc28527118aae306095", "name": "Embury, O., Bulgin, C.E. & Mittaz, J. (2019) ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Very High Resolution Radiometer (AVHRR) Level 3 Uncollated (L3U) Climate Data Record version 2.0. https://doi.org/10.5285/79DD8E867B5A4BC28527118AAE306095", "relatedTo": { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob" } }, { "ob_id": 94683, "function": "externalCitation", "linkage": "https://doi.org/10.5285/2282b4aeb9f24bc3a1e0961e4d545427", "name": "Embury, O., Bulgin, C.E. & Mittaz, J. (2019) ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Along-Track Scanning Radiometer (ATSR) Level 3 Uncollated (L3U) Climate Data Record, version 2.1. https://doi.org/10.5285/2282B4AEB9F24BC3A1E0961E4D545427", "relatedTo": { "ob_id": 27524, "uuid": "916b93aaf1474ce793171a33ca4c5026", "short_code": "ob" } }, { "ob_id": 94684, "function": "externalCitation", "linkage": "https://doi.org/10.5285/58a8802721c94c66ae45c3baa4d814d0", "name": "University Of East Anglia Climatic Research Unit (CRU), Harris, I.C. & Jones, P.D. (2017) CRU TS4.01: Climatic Research Unit (CRU) Time-Series (TS) version 4.01 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2016). https://doi.org/10.5285/58A8802721C94C66AE45C3BAA4D814D0", "relatedTo": { "ob_id": 25065, "uuid": "d4e823f0172947c5ae6e6b265656c273", "short_code": "ob" } }, { "ob_id": 94685, "function": "externalCitation", "linkage": "https://doi.org/10.3390/rs12172691", "name": "Wang, S., Zhou, J., Lei, T., Wu, H., Zhang, X., Ma, J. & Zhong, H. (2020) Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network. Remote Sensing 12, 2691. https://doi.org/10.3390/rs12172691", "relatedTo": { "ob_id": 26599, "uuid": "b8141fa5842b45e8863816da536def5a", "short_code": "ob" } }, { "ob_id": 94686, "function": "externalCitation", "linkage": "https://doi.org/10.5285/3a8a94c3fa464d68b6d70df291afd457", "name": "Dorigo, W., Wagner, W., Gruber, A., Scanlon, T., Hahn, S., Kidd, R., Paulik, C., Reimer, C., Van Der Schalie, R. & De Jeu, R. (2018) ESA Soil Moisture Climate Change Initiative (Soil_Moisture_cci): Version 04.2 data collection. https://doi.org/10.5285/3A8A94C3FA464D68B6D70DF291AFD457", "relatedTo": { "ob_id": 26166, "uuid": "b810601740bd4848b0d7965e6d83d26c", "short_code": "coll" } }, { "ob_id": 94687, "function": "externalCitation", "linkage": "https://doi.org/10.7910/dvn/q2llja", "name": "Song, H. (2022) Shiptrack density data. https://doi.org/10.7910/DVN/Q2LLJA", "relatedTo": { "ob_id": 37676, "uuid": "0d88dc06fd514e8199cdd653f00a7be0", "short_code": "ob" } }, { "ob_id": 94688, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.4267147", "name": "Liu, A. & Franke, S. (2020) SKiYMET Meteor Radar Horizontal Wind at Andes Lidar Observatory 2009-2014. https://doi.org/10.5281/ZENODO.4267147", "relatedTo": { "ob_id": 27270, "uuid": "061fc7fd1ca940e7ad685daf146db08f", "short_code": "ob" } }, { "ob_id": 94689, "function": "externalCitation", "linkage": "https://doi.org/10.5285/563cb665bc6e43f99b355a9bb8134317", "name": "Willett, K.M., Dunn, R.J.H., Kennedy, J.J., Berry, D.I., Thorne, P.W., Bell, S., De Podesta, M., Parker, D.E. & Jones, P.D. (2022) HadISDH.blend: gridded global monthly land and ocean surface humidity data version 1.3.0.2021f. https://doi.org/10.5285/563CB665BC6E43F99B355A9BB8134317", "relatedTo": { "ob_id": 37289, "uuid": "062942e96a6e4567b2bc47045be910a7", "short_code": "ob" } }, { "ob_id": 94690, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.6532356", "name": "Willett, K. (2022) HadISDH land: gridded global monthly land surface humidity data version 4.4.0.2021f. https://doi.org/10.5281/ZENODO.6532356", "relatedTo": { "ob_id": 37289, "uuid": "062942e96a6e4567b2bc47045be910a7", "short_code": "ob" } }, { "ob_id": 94691, "function": "externalCitation", "linkage": "https://doi.org/10.5285/563cb665bc6e43f99b355a9bb8134317", "name": "Willett, K.M., Dunn, R.J.H., Kennedy, J.J., Berry, D.I., Thorne, P.W., Bell, S., De Podesta, M., Parker, D.E. & Jones, P.D. (2022) HadISDH.blend: gridded global monthly land and ocean surface humidity data version 1.3.0.2021f. https://doi.org/10.5285/563CB665BC6E43F99B355A9BB8134317", "relatedTo": { "ob_id": 37290, "uuid": "54d3408edd9e41bca226924754619812", "short_code": "ob" } }, { "ob_id": 94692, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.6532356", "name": "Willett, K. (2022) HadISDH land: gridded global monthly land surface humidity data version 4.4.0.2021f. https://doi.org/10.5281/ZENODO.6532356", "relatedTo": { "ob_id": 37291, "uuid": "563cb665bc6e43f99b355a9bb8134317", "short_code": "ob" } }, { "ob_id": 94693, "function": "externalCitation", "linkage": "https://doi.org/10.5285/fe3cb5120fa74fa7974820c2e2a238a7", "name": "Dall’Olmo, G. & Nencioli, F. (2021) Global Ocean Lagrangian Trajectories based on AVISO velocities, v2.0, 1998-2018. https://doi.org/10.5285/FE3CB5120FA74FA7974820C2E2A238A7", "relatedTo": { "ob_id": 32738, "uuid": "5c2b70d069cb467ab73e80b84c3e395a", "short_code": "ob" } }, { "ob_id": 94694, "function": "externalCitation", "linkage": "https://doi.org/10.5281/zenodo.5082982", "name": "Nencioli, F. & Dall’Olmo, G. (2021) Code to generate OLTraj product. Zenodo. https://doi.org/10.5281/ZENODO.5082982", "relatedTo": { "ob_id": 32738, "uuid": "5c2b70d069cb467ab73e80b84c3e395a", "short_code": "ob" } }, { "ob_id": 94695, "function": "externalCitation", "linkage": "https://doi.org/10.1016/j.jengtecman.2013.10.008", "name": "Figueiredo, P.N. (2014) Beyond technological catch-up: An empirical investigation of further innovative capability accumulation outcomes in latecomer firms with evidence from Brazil. Journal of Engineering and Technology Management 31, 73–102. https://doi.org/10.1016/j.jengtecman.2013.10.008", "relatedTo": { "ob_id": 7739, "uuid": "76f82001334afceadfe0df6e1544d75d", "short_code": "ob" } }, { "ob_id": 94696, "function": "externalCitation", "linkage": "https://doi.org/10.1007/s00191-021-00732-9", "name": "Gräbner, C. & Hornykewycz, A. (2021) Capability accumulation and product innovation: an agent-based perspective. Journal of Evolutionary Economics 32, 87–121. https://doi.org/10.1007/s00191-021-00732-9", "relatedTo": { "ob_id": 7739, "uuid": "76f82001334afceadfe0df6e1544d75d", "short_code": "ob" } }, { "ob_id": 94697, "function": "externalCitation", "linkage": "https://doi.org/10.5285/2f53b18d-49fc-4477-b994-f1719d6f6dbe", "name": "Lachlan-Cope, T., Elvidge, A., Smith, V., Kirchgaessner, A., King, J.C. & Ladkin, R. (2014) British Antarctic Survey Masin twin-otter aircraft core meteorological data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011). https://doi.org/10.5285/2F53B18D-49FC-4477-B994-F1719D6F6DBE", "relatedTo": { "ob_id": 7739, "uuid": "76f82001334afceadfe0df6e1544d75d", "short_code": "ob" } }, { "ob_id": 94698, "function": "externalCitation", "linkage": "https://doi.org/10.5285/5c8bc811-edab-4e1d-bceb-afb9623b9afa", "name": "Kirchgaessner, A., Kuipers-Munneke, P. & King, J.C. (2014) Radiosonde data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011). https://doi.org/10.5285/5C8BC811-EDAB-4E1D-BCEB-AFB9623B9AFA", "relatedTo": { "ob_id": 7739, "uuid": "76f82001334afceadfe0df6e1544d75d", "short_code": "ob" } }, { "ob_id": 94699, "function": "externalCitation", "linkage": "https://doi.org/10.5285/6775e27575124407afeebb4bb1dfaaf5", "name": "Veal, K., Ermida, S., Ghent, D., Perry, M. & Trigo, I. 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(2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from AATSR (Advanced Along-Track Scanning Radiometer), level 3 collated (L3C) global product (2002-2012), version 3.00. https://doi.org/10.5285/1115D8946BA74C7F8A9FC3BFEE5513A0", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94702, "function": "externalCitation", "linkage": "https://doi.org/10.5285/32d7bc64c7b740e9ad7a43589ab91592", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00. https://doi.org/10.5285/32D7BC64C7B740E9AD7A43589AB91592", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94703, "function": "externalCitation", "linkage": "https://doi.org/10.5285/ef8ce37b6af24469a2a4bdc31d3db27d", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Multisensor Infra-Red (IR) Low Earth Orbit (LEO) land surface temperature (LST) time series level 3 supercollated (L3S) global product (1995-2020), version 2.00. https://doi.org/10.5285/EF8CE37B6AF24469A2A4BDC31D3DB27D", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94704, "function": "externalCitation", "linkage": "https://doi.org/10.5285/6babb8d9a8d247bcb3da6aed42f4b59a", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00. https://doi.org/10.5285/6BABB8D9A8D247BCB3DA6AED42F4B59A", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94705, "function": "externalCitation", "linkage": "https://doi.org/10.5285/330b7c922a37420fabb3425671d7d7c6", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00. https://doi.org/10.5285/330B7C922A37420FABB3425671D7D7C6", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94706, "function": "externalCitation", "linkage": "https://doi.org/10.5285/5f66a881adf846bfaad58b0e6068f0ea", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00. https://doi.org/10.5285/5F66A881ADF846BFAAD58B0E6068F0EA", "relatedTo": { "ob_id": 37120, "uuid": "16c633f003ef4d8481420f052356c11c", "short_code": "ob" } }, { "ob_id": 94707, "function": "externalCitation", "linkage": "https://doi.org/10.5285/330b7c922a37420fabb3425671d7d7c6", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00. https://doi.org/10.5285/330B7C922A37420FABB3425671D7D7C6", "relatedTo": { "ob_id": 37121, "uuid": "2ac9a3e7bdeb41b58b226a2fa612a4a3", "short_code": "ob" } }, { "ob_id": 94708, "function": "externalCitation", "linkage": "https://doi.org/10.5285/6babb8d9a8d247bcb3da6aed42f4b59a", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00. https://doi.org/10.5285/6BABB8D9A8D247BCB3DA6AED42F4B59A", "relatedTo": { "ob_id": 37121, "uuid": "2ac9a3e7bdeb41b58b226a2fa612a4a3", "short_code": "ob" } }, { "ob_id": 94709, "function": "externalCitation", "linkage": "https://doi.org/10.5285/5f66a881adf846bfaad58b0e6068f0ea", "name": "Ghent, D., Veal, K. & Perry, M. (2022) ESA Land Surface Temperature Climate Change Initiative (LST_cci): Land Surface Temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00. https://doi.org/10.5285/5F66A881ADF846BFAAD58B0E6068F0EA", "relatedTo": { "ob_id": 37121, "uuid": "2ac9a3e7bdeb41b58b226a2fa612a4a3", "short_code": "ob" } } ] }