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Benchmark code and results for "rhodent: A Python package for analyzing real-time TDDFT response"
No full textThis upload includes benchmark results presented in the article "rhodent: A Python package for analyzing real-time TDDFT response" by Jakub Fojt, Tuomas P. Rossi, and Paul Erhart, as well as the codes to reproduce these results.
See README.md in the upload for a detailed description
Phenocam - Region Of Interest (ROI) Time Series from Svartberget Experimental Forest, Mast 70m Phenocam 01
No full textDaily aggregated time series containing solar-weighted mean vegetation indices and RGB channel values per Region of Interest, temporal data, solar metrics, and processing statistics for each daily composite.
Svartberget Research Station (2025). Phenocam - Region Of Interest (ROI) Time Series from Svartberget Experimental Forest, Mast 70m Phenocam 01, 2025-02-21–2025-05-29 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/SrGVudsrioJpJkNlRGXyGvY
Flame-made nanoparticles for magnetic hyperthermia and MRI in colorectal cancer theranostics
No full textMagnetic hyperthermia therapy using superparamagnetic iron oxide nanoparticles (SPIONs) offers a promising strategy for treating cancers resistant to chemo- and radiotherapy. However, oral delivery of SPIONs for localized treatment of gastrointestinal cancers has not been widely explored. Here, we report the development of methoxy polyethylene glycol (mPEG) functionalized SPIONs (mPEG-Mn0.6Zn0.4Fe2O4) engineered for oral administration with combined theranostic functionalities for magnetic hyperthermia treatment and magnetic resonance imaging (MRI) in colorectal cancer (CRC). The SPIONs achieved consistent heating performance in biorelevant colonic environments, exceeding a 5 °C temperature increase within 10 min under an alternating magnetic field (AMF). They also demonstrated superior r2 relaxivity compared to γ-Fe2O3, highlighting their potential as effective T2 MRI contrast agents. In vitro studies using CRC SW480 and Caco-2 cell lines assessed nanoparticle cytotoxicity, cellular uptake, and magnetic hyperthermia efficacy in both upright and inverted cell culture configurations. Magnetic hyperthermia induced significant CRC cell death in vitro, particularly in upright configurations, attributed to enhanced localized heating caused by nanoparticle sedimentation and enhanced SPION contact with cell surfaces. This emphasizes the importance of in vitro experimental parameters such as cell line, configuration, and AMF exposure time for systematic optimization of theranostic SPIONs during preclinical development. Finally, in vivo studies using a colorectal tumor xenograft mouse model demonstrated a marked therapeutic effect of magnetic hyperthermia by intratumorally injected SPIONs. The tumor volume was reduced by 63% following a single 20-minute AMF exposure. These findings demonstrate the potential of mPEG-Mn0.6Zn0.4Fe2O4 nanoparticles as a promising platform for non-invasive, image-guided magnetic hyperthermia therapy in CRC theranostics
Meteorological data from Latnjajaure, Field Station AWS
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Abisko Scientific Research Station (2025). Meteorological data from Latnjajaure, Field Station AWS, 2024-01-01–2024-10-14 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/0nKKiSHNBW6PlS70HLHoQGC
Meteorological data from Tarfala, Research station weather station
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Tarfala, Research station weather station, 2020-01-01–2020-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/3DeB4oiuQmklwnLOeSwSe5q
Meteorological data from Lihti
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Lihti, 2018-01-01–2018-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/3ion5pL6X1Pz_Bc2brS917o
Meteorological data from Mella
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Mella, 2014-11-11–2014-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/J_4Hffb9_RJ7OJ2fOIN8PTs
Meteorological data from Laevasvagge, AWS
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Laevasvagge, AWS, 2017-01-01–2017-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/pFtUdbS90G9o60w0Z7ux6fk
Meteorological data from Alesjaure
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Alesjaure, 2020-01-01–2020-05-09 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/RU9wJslJnr7sMYMGlQHHFDh
Meteorological data from Storglaciären
No full textAutomatic weather station data from locations within the distributed Swedish research infrastructure SITES. Check preview or file for the specific parameters included at this location. Data has been quality controlled and cleaned from outliers and other events producing unrealistic data. Gaps have not been filled.
Tarfala Research Station (2025). Meteorological data from Storglaciären, 2016-04-13–2016-09-15 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/xO8mlTTUymSgq1Z623I3GqT