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Deliverable 2.7 Final report on number of long-term preserved datasets (T2.6)

Naumann, Malik; Felden, Janine; Takala, Matias; Godøy, Øystein

Abstract

The key motivation of the Arctic PASSION project is to contribute to the co-creation and implementation of a coherent, integrated Arctic observing system. It aims to overcome known flaws in the present observing system by refining its operability, improving and extending pan-Arctic scientific and community-based monitoring and the integration with Indigenous and Local knowledge. It also aims at streamlining the access and interoperability of Arctic Data systems and services and contribute to ensuring the economic viability and sustainability of the observing system. As part of the H2020’s Open Research Data Pilot[1], the Data Management Plan for the Arctic PASSION project has been designed to provide the consortium partners with a state-of-the-art data handling workflow that adheres to the FAIR data principles (ensuring that data are Findable, Accessible, Interoperable and Re-usable). All datasets generated or mobilised during the course of the project have been curated and archived by expert data editors in trusted FAIR repositories, improving the long-term preservation and integration of Arctic data and information. Specifically, all processed datasets have been enriched with standardised discovery and use metadata to simplify the reuse of data across providers, standardised web services, applications, protocols or data portals. These represent essential optimisation steps along the data value chain, supporting the process of making data machine-actionable and fit for in order to feed it into decision support systems and inform policy. This benefits not only Arctic communities, but also European and global communities. To date, a total of 150 Arctic PASSION-related datasets, ranging from atmospheric to ice and oceanographic measurements, have been curated and successfully archived. Of these, 129 datasets (Table 1) have already been published in five trusted data repositories: PANGAEA – Data Publisher for Earth & Environmental Science[2] (119 records), Zenodo[3] (four records), the Norwegian Polar Institute[4] (three records), the Norwegian Meteorological Institute[5] (two records), the Italian Arctic Data Center[6] (one record). These include priority datasets fuelling the Arctic PASSION Pilot Services, such Alex[7] (Nitze et al. 2024, 2025) and AURORAE[8] (Cuzzucoli et al. 2025). An additional 21 Arctic PASSION-related datasets are currently pending final publication (Table 2). These datasets include measurements from various sea ice mass balance buoys as well as from automatic weather stations and are now in the final processing step before receiving a permanent DOI. the World Meteorological Organization's (WMO) Global Telecommunication System (GTS) and associated with the Arctic PASSION project are still pending publication following GTS conversion. At the time this report was concluded, the CORDIS EU research results project website for Arctic PASSION still displayed an incomplete list of all project-related data publications compiled via the OpenAIRE service (three records listed). However, the authors of this report have compiled a complete list of all published Arctic PASSION datasets, which are currently pending processing and curation by OpenAIRE services for subsequent final linkage and display in CORDIS. [1] https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf [2] https://pangaea.de [3] https://zenodo.org/ [4] https://data.npolar.no/dataset [5] https://adc.met.no/ [6] https://metadata.iadc.cnr.it/ [7] https://alex.awi.de/ [8] https://arcticaurorae.eu/

Full text

1 Version 1 28 November 2025 101003472 | Arctic PASSION Deliverable 2.7 Final report on number of long-term preserved datasets (T2.6) 2 Dissemination level PU This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101003472 Work package 2 – BRINGING THE ARCTIC DATA SYSTEM TO ACTION Lead beneficiary AWI – Alfred Wegener Institute Lead author Malik Naumann (AWI) Contributors Janine Felden (AWI) Øystein Godøy (MET) Matias Takala (FMI) Status Draft approved by WP leads 3 Contents 1. Long-term preserved datasets related to Arctic PASSION ...................................................................... 4 2. Catalogues of long-term preserved Arctic PASSION data records: Table 1. Published datasets, and Table 2. Datasets pending final publication ....................................... 5 Document Information ................................................................................................................................ .21 4 1. Long-term preserved datasets related to Arctic PASSION The key motivation of the Arctic PASSION project is to contribute to the co-creation and implementation of a coherent, integrated Arctic observing system. It aims to overcome known flaws in the present observing system by refining its operability, improving and extending pan-Arctic scientific and communitybased monitoring and the integration with Indigenous and Local knowledge. It also aims at streamlining the access and interoperability of Arctic Data systems and services and contribute to ensuring the economic viability and sustainability of the observing system. As part of the H2020’s Open Research Data Pilot1, the Data Management Plan for the Arctic PASSION project has been designed to provide the consortium partners with a state-of-the-art data handling workflow that adheres to the FAIR data principles (ensuring that data are Findable, Accessible, Interoperable and Re-usable). All datasets generated or mobilised during the course of the project have been curated and archived by expert data editors in trusted FAIR repositories, improving the long-term preservation and integration of Arctic data and information. Specifically, all processed datasets have been enriched with standardised discovery and use metadata to simplify the reuse of data across providers, standardised web services, applications, protocols or data portals. These represent essential optimisation steps along the data value chain, supporting the process of making data machine-actionable and fit for in order to feed it into decision support systems and inform policy. This benefits not only Arctic communities, but also European and global communities. To date, a total of 150 Arctic PASSION-related datasets, ranging from atmospheric to ice and oceanographic measurements, have been curated and successfully archived. Of these, 129 datasets (Table 1) have already been published in five trusted data repositories: PANGAEA – Data Publisher for Earth & Environmental Science2 (119 records), Zenodo3 (four records), the Norwegian Polar Institute4 (three records), the Norwegian Meteorological Institute5 (two records), the Italian Arctic Data Center6 (one record). These include priority datasets fuelling the Arctic PASSION Pilot Services, such Alex7 (Nitze et al. 2024, 2025) and AURORAE8 (Cuzzucoli et al. 2025). An additional 21 Arctic PASSION-related datasets are currently pending final publication (Table 2). These datasets include measurements from various sea ice mass balance buoys as well as from automatic weather stations and are now in the final processing step before receiving a permanent DOI. the World Meteorological Organization's (WMO) Global Telecommunication System (GTS) and associated with the Arctic PASSION project are still pending publication following GTS conversion. At the time this report was concluded, the CORDIS EU research results project website for Arctic PASSION still displayed an incomplete list of all project-related data publications compiled via the OpenAIRE service (three records listed). However, the authors of this report have compiled a complete list of all published Arctic PASSION datasets, which are currently pending processing and curation by OpenAIRE services for subsequent final linkage and display in CORDIS. 1 https://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-datamgt_en.pdf 2 https://pangaea.de 3 https://zenodo.org/ 4 https://data.npolar.no/dataset 5 https://adc.met.no/ 6 https://metadata.iadc.cnr.it/ 7 https://alex.awi.de/ 8 https://arcticaurorae.eu/ 5 2. Catalogues of long-term preserved Arctic PASSION data records: Table 1. Published datasets, and Table 2. Datasets pending final publication # Full Data Citation Data Repository 1 Berge, J., Anderson, P., Kupiszewski, P., Granskog, M., Bratrein, M., Divine, D., De La Torre, P., Geoffroy, M., Zolich, A., & Kopec, T. (2025). Data from drifting, autonomous ice-tethered observatories deployed in June 2022 at 89.82N, 26.28W [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/WJ48-Y250 Norwegian Meteorological Institute 2 Bertosio, C., Provost C., Sennéchael N., & Koenig Z. (2022). Arctic Makarov Basin: IAOOS14, IAOOS15 and IAOOS25 ocean CTDDO profiles in 2015 and 2017 [Data set]. Zenodo. https://doi.org/10.17882/83520 Zenodo 3 Cuzzucoli, A., Crotti, I., Dobicic, S., & Pasini, A. (2025). 48-hour (0-24h and 25-48h) PM10 Concentrations Forecast with the AdaptedCrossformer model at European Environmental Agency (EEA) Monitoring Stations (2024) [Data set]. Norwegian Meteorological Institute. https://doi.org/10.21343/969W-Z875 Norwegian Meteorological Institute 4 Dodd, P., Sundfjord, A., & Foss, Ø. (2024a). Amundsen-22 mooring, Amundsen Basin of the Arctic Ocean (2022-2024): Ocean temperature, salinity, pressure, and currents [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/NPOLAR.2024.92445174 Norwegian Polar Institute 5 Dodd, P., Sundfjord, A., & Foss, Ø. (2024b). Nansen-22 mooring, Nansen Basin of the Arctic Ocean (2022-2024): Ocean temperature, salinity, pressure, and currents [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/NPOLAR.2024.67FFB476 Norwegian Polar Institute 6 Dybkjær, G., Suhr, M. B., Gierisch, A. M. U., Kreiner, M. B., Ribergaard, M. H., Wulf, T., & Singha, S. (2025). Arctic PASSION - High Resolution Synthetic Aperture Radar based Risk Index Outcome (AP-RIO) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.975054 PANGAEA Table 1. Full list of Arctic PASSION datasets published at the time of report completion. All datasets have been generated by Arctic PASSION project partners and/or with support of H2020 EC funding for Arctic PASSION. Data publications are sorted in alphabetical order (leading author first name). List of Data Repositories: PANGAEA – Data Publisher for Earth & Environmental Science, Norwegian Meteorological Institute, Norwegian Polar Institute, Zenodo. 6 7 Dybkjær, G., Suhr, M. B., Jensen, A. E. T., & Singha, S. (2025). Arctic PASSION - Polar Monthly Mean Ice Surface Temperature (AP-MMIST) for the time period 1982 to 2024 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.975011 PANGAEA 8 Flores, H., Castellani, G., Wilkinson, J., Valcic, L., Hoppmann, M., Veyssière, G., Karcher, M. J., Nicolaus, M., & Stroeve, J. C. (2023). Hydroacoustic backscatter recorded by buoy 2020AZFP1 in the central Arctic Ocean during Sep 2020—May 2021 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.954939 PANGAEA 9 Granskog, M.A. (2022). Raw data from thermistor string ice mass balance buoy 2021M31 (0.1.0) [Data set]. Zenodo. https://doi.org/10.21334/npolar.2022.1037bd1e Zenodo 10 Hoppmann, M., & Nicolaus, M. (2024a). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S100, deployed during expedition PS138 (ArcWatch-1) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973277 PANGAEA 11 Hoppmann, M., & Nicolaus, M. (2024b). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S102, deployed during expedition PS138 (ArcWatch-1) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973281 PANGAEA 12 Hoppmann, M., & Nicolaus, M. (2024c). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S103, deployed during expedition PS138 (ArcWatch-1) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973291 PANGAEA 13 Hoppmann, M., Scholz, D., & Nicolaus, M. (2024a). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S101, deployed during expedition PS138 (ArcWatch-1) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973279 PANGAEA 14 Hoppmann, M., Scholz, D., & Nicolaus, M. (2024b). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S124, deployed during expedition PS138 (ArcWatch-1) [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973301 PANGAEA 15 Hoppmann, M., von Appen, W.-J., Allerholt, J., Barz, J., Bienhold, C., Dettling, N., Elliott, F., Engicht, C., Fer, I., Graupner, R., Iversen, M. H., Knüppel, N., Lochthofen, N., McPherson, R., Metfies, K., Monsees, M., Nöthig, E.-M., Oldenburg, E., Popa, O., … Kanzow, T. (2024a). Raw physical oceanography, bio-optical and biogeochemical data from mooring Y4-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.974316 PANGAEA 7 16 Hoppmann, M., von Appen, W.-J., Allerholt, J., Boebel, O., Dettling, N., Elliott, F., Engicht, C., Fer, I., Graupner, R., Lochthofen, N., McPherson, R., Meyer-Kaiser, K., Monsees, M., Reifenberg, S. F., Spiesecke, S., Thomisch, K., Schlindwein, V., & Kanzow, T. (2024b). Raw physical oceanography and ocean current velocity data from mooring Y5-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.974317 PANGAEA 17 Hoppmann, M., von Appen, W.-J., Allerholt, J., Boebel, O., Dettling, N., Elliott, F., Engicht, C., Fer, I., Graupner, R., Lochthofen, N., McPherson, R., Monsees, M., Reifenberg, S. F., Schlindwein, V., Spiesecke, S., Thomisch, K., & Kanzow, T. (2024c). Raw physical oceanography and profiling winch data from mooring Y2-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.974312 PANGAEA 18 Hoppmann, M., von Appen, W.-J., Allerholt, J., Dettling, N., Elliott, F., Engicht, C., Fer, I., Graupner, R., Lochthofen, N., McPherson, R., Meyer-Kaiser, K., Monsees, M., Reifenberg, S. F., Schlindwein, V., & Kanzow, T. (2024). Raw physical oceanography and ocean current velocity data from mooring Y1-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.974309 PANGAEA 19 Hoppmann, M., von Appen, W.-J., Allerholt, J., Dettling, N., Elliott, F., Engicht, C., Fer, I., Graupner, R., Lochthofen, N., McPherson, R., Monsees, M., Reifenberg, S. F., Schlindwein, V., & Kanzow, T. (2024). Raw physical oceanography and ocean current velocity data from mooring Y3-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.974314 PANGAEA 20 Igneczi, A., & Bamber, J. L. (2024). Pan-Arctic land-ice and tundra meltwater discharge database from 1950 to 2021 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.967544 PANGAEA 21 Li, T., Heidler, K., Mou, L., Ignéczi, Á., Zhu, X. X., & Bamber, J. (2023). Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023 [Data set]. Zenodo. https://doi.org/10.5281/ZENODO.10407266 Zenodo 22 Nicolaus, M., & von Albedyll, L. (2024a). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S126, deployed during Charcot expedition 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973302 PANGAEA 23 Nicolaus, M., & von Albedyll, L. (2024b). Snow height on sea ice and sea ice drift from autonomous measurements from buoy 2023S128, deployed during Charcot expedition 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973303 PANGAEA 8 24 Nikolopoulos, A., Renner, A. H. H., Dodd, P. A., Assmy, P., Chierici, M., Fransson, A., Hallanger, I., Granskog, M. A., Lenss, M. A., Sortland, J. M. S., Wold, A., Steen, H., Nikolopoulos, A., & Dodd, P. A. (2023). CTD profiles from NPI cruise AO-I-2023 to the Fram Strait in June 2023, including core parameters measured from Niskin bottle samples. [Data set]. Norwegian Polar Institute. https://doi.org/10.21334/NPOLAR.2023.9605165A Norwegian Polar Institute 25 Nitze, I., Lübker, T., & Grosse, G. (2024). Pan-Arctic Visualization of Landscape Change (2003-2022), Arctic PASSION Permafrost Service [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.964814 PANGAEA 26 Nitze, I., Lübker, T., Pohlabeln, S., & Grosse, G. (2025). Pan-Arctic Visualization of Landscape Change (2005-2024), Arctic PASSION Permafrost Service [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.983891 PANGAEA 27 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025a). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T1 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973328 PANGAEA 28 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025b). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T4 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973325 PANGAEA 29 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025c). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T30 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973326 PANGAEA 30 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025d). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T31 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973324 PANGAEA 31 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025e). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2012T32 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973323 PANGAEA 32 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025f). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2013T2 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973330 PANGAEA 33 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025g). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T3 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973337 PANGAEA 9 34 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025h). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T5 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973321 PANGAEA 35 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025i). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T8 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973322 PANGAEA 36 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025j). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T9 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973315 PANGAEA 37 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025k). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T11 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973316 PANGAEA 38 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025l). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T13 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973317 PANGAEA 39 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025m). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T14 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973320 PANGAEA 40 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025n). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T16 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973314 PANGAEA 41 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025o). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T17 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973319 PANGAEA 42 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025p). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T33 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973318 PANGAEA 43 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025q). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2014T34 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973312 PANGAEA 44 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025r). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2015T19 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973311 PANGAEA 16 111 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cg). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T99 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973340 PANGAEA 112 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025ch). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T100 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973345 PANGAEA 113 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025ci). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T102 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973338 PANGAEA 114 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cj). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T104 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973343 PANGAEA 115 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025ck). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T105 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973334 PANGAEA 116 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cl). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T106 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973329 PANGAEA 117 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cm). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T107 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973336 PANGAEA 118 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cn). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T109 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973327 PANGAEA 119 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025co). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T110 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973331 PANGAEA 120 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cp). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T111 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973332 PANGAEA 121 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cq). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T112 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973335 PANGAEA 17 122 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cr). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoy 2023T114 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973333 PANGAEA 123 Preußer, A., Nicolaus, M., & Hoppmann, M. (2025cs). Snow depth, sea ice thickness and interface temperatures derived from measurements of SIMBA buoys deployed in the Arctic Ocean and Southern Ocean between 2012 and 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.973193 PANGAEA 124 Reifenberg, S. F., von Appen, W.-J., Hoppmann, M., & McPherson, R. (2025). Physical oceanography and current meter data from mooring Y5-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.984856 PANGAEA 125 Reifenberg, S. F., von Appen, W.-J., McPherson, R., & Hoppmann, M. (2025a). Physical oceanography and current meter data from mooring Y1-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.984857 PANGAEA 126 Reifenberg, S. F., von Appen, W.-J., McPherson, R., & Hoppmann, M. (2025b). Physical oceanography and current meter data from mooring Y4-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.984782 PANGAEA 127 Reifenberg, S. F., von Appen, W.-J., McPherson, R., & Hoppmann, M. (2025c). Physical oceanography data from mooring Y2-1 on the Yermak Plateau, Arctic Ocean, July 2022 – June 2023 [Data set]. PANGAEA. https://doi.org/10.1594/PANGAEA.984769 PANGAEA 128 Tu'dese'cho Wholistic Indigenous Leadership Development, & Snowchange Cooperative. (2025). Tahltan Climate Events Database [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14761706 Zenodo 129 Viola, A. P., Mazzola, M., & Vitale, V. (2021). Climate Change Tower Radiation Data (No. https://metadata.iadc.cnr.it/geonetwork/srv/api/records/e4872959-4cf2-48df-8195-e8065411be49) [Data set]. Italian Arctic Data Center. Italian Arctic Data Center 18 # Full Data Citation Data Repository 1 Granskog, Mats A (publication year): Auxiliary data from SIMBA-type sea ice mass balance buoy 2022T95 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968032 PANGAEA 2 Granskog, Mats A (publication year): Auxiliary data from SIMBA-type sea ice mass balance buoy 2022T97 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968034 PANGAEA 3 Granskog, Mats A (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T95: 30 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968364 PANGAEA 4 Granskog, Mats A (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T95: 120 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968436 PANGAEA 5 Granskog, Mats A (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T97: 30 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968366 PANGAEA 6 Granskog, Mats A (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T97: 120 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968452 PANGAEA 7 Granskog, Mats A (publication year): Temperature measurements from SIMBA-type sea ice mass balance buoy 2022T95 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968176 PANGAEA 8 Granskog, Mats A (publication year): Temperature measurements from SIMBA-type sea ice mass balance buoy 2022T97 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968177 PANGAEA Table 2. Full list of Arctic PASSION data sets successfully archived and pending final publication at the time of report completion. All data sets have been generated by Arctic PASSION project partners and/or with support of H2020 EC funding for Arctic PASSION. Data publications are sorted in alphabetical order (leading author first name). Data Repository: PANGAEA – Data Publisher for Earth & Environmental Science 19 9 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Auxiliary data from SIMBA-type sea ice mass balance buoy 2022T94 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968030 PANGAEA 10 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Auxiliary data from SIMBA-type sea ice mass balance buoy 2022T96 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968033 PANGAEA 11 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Auxiliary data from SIMBA-type sea ice mass balance buoy 2022T98 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968037 PANGAEA 12 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T94: 30 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968363 PANGAEA 13 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T94: 120 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968431 PANGAEA 14 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T96: 30 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968362 PANGAEA 15 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T96: 120 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968446 PANGAEA 16 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T98: 30 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968365 PANGAEA 17 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Heating induced temperature difference measurements from SIMBA-type sea ice mass balance buoy 2022T98: 120 s after the heating cycle [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968455 PANGAEA 20 18 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Temperature measurements from SIMBA-type sea ice mass balance buoy 2022T94 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968184 PANGAEA 19 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Temperature measurements from SIMBA-type sea ice mass balance buoy 2022T96 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968173 PANGAEA 20 Nicolaus, Marcel; Graupner, Steffen; Hoppmann, Mario (publication year): Temperature measurements from SIMBA-type sea ice mass balance buoy 2022T98 [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968178 PANGAEA 21 Suhr, Magnus Barfod; Dybkjær, Gorm; Jensen, André Emil Toft; Singha, Suman; Gacitua, Guisella; Jepsen, Nis; Hayward, Alexander; Olsen, Ida; Rapp, Dina (publication year): Danish Meteorological Institute Qaanaaq Winter Observatory, Automatic Weather Station measuring temperatures, radiation, and winds (2015-2023) [Data set]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.986656 PANGAEA 21 Document Information EU Project N° 101003472 Acronym Arctic PASSION Full Title Pan-Arctic observing System of Systems: Implementing Observations for societal Needs Project website arcticpassion.eu Deliverable N° 7 Title Final report on number of long-term preserved datasets (T2.6) Work Package N° 2 Title BRINGING THE ARCTIC DATA SYSTEM TO ACTION Date of delivery Contractual 30.11.2025 Actual Dissemination level PU Public, fully open, e. g. web CO Confidential restricted under conditions set out in Model Grant Agreement CI Classified, information as referred to in Commission Decision 2001/844/EC Authors (Partner) AWI Responsible Authors Name Malik Naumann Email [email protected]