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ETC L2 AuxData from Degero
No full textHalf-hourly specific diagnostic and derived variables needed to evaluate the correct functioning of the sensors, in particular the EC system.
Nilsson, M., Peichl, M., Marklund, P., Boschetti, F., De Simon, G., Holst, J., Smith, P., Kozii, N., Dignam, R., Larmanou, E., Lofvenius, P., Molder, M., Andersson, T., Linderson, M., Lindgren, K. (2025). ETC L2 AuxData from Degero, 2019-10-28–2025-10-01, ICOS RI, https://hdl.handle.net/11676/KXTaSJ1frUeYd0tR16YDXCR
Water balance - stream water level and discharge from Stortjärnbäcken, Catchment 5
No full textStream water level measurements and discharge calculations from streams participating in the SITES Water and station base program including a constantly validated stream discharge relation curve. For further information on calculations and installation read COMMENT in the header of the data set, which guides to related document.
Svartberget Research Station (2025). Water balance - stream water level and discharge from Stortjärnbäcken, Catchment 5, 2013-04-17–2025-08-14 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/0SEJVGd3j38ct3tM3hk-MLg
Halter av kvicksilver i blad i förhållande till kväve och LMA
No full textData include concentrations of mercury and nitrogen in leaves and needles as well as values for LMA (dry leaf mass per leaf area) for 17 tree species.Data omfattar halter av kvicksilver och kväve i blad och barr samt värden för LMA (torrvikt av bladmassa per bladyta) för 17 trädarte
SAOL 7 - faksimil
No full textWords i SAOL with links to facsimiles.Ord i SAOL med länkar till faksimiler
Meteorological data from Röbäcksdalen Research Area, 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.
Röbäcksdalen Field Research Station (2025). Meteorological data from Röbäcksdalen Research Area, AWS, 2024-01-01–2024-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/szXgN9tn5PHO-dS9pFRdRWO
Torrfåreregistret
No full textThe Swedish Bypassed River Reaches Register (SBRRR) is a dataset containing descriptive information about 968 unique bypassed river reaches located at Swedish diversion hydropower stations. These are formerly natural river reaches currently more or less devoid of water due to hydropower operations. The dataset contains information about the intrinsic hydrogeographical characteristics (i.e. prior to hydropower development) of these reaches such as channel slope, altitude, natural flow regime, catchment geology and soil characteristics, etc. The dataset also contains information about the size of the bypassed reaches (length, area), current management practices in terms of allocation of water as minimum discharge and any other implemented restoration measures (e.g. fishways, habitat enhancement) and additional pressures on the aquatic ecosystem of the bypassed reach (i.e. anthropogenic land use in the catchment area).
The datafile itself consists of 57 columns and 968 rows
Hushållens inkomster 1975
No full textThe households´ incomes is a yearly survey of about 10.000 households´ economy based on data from a questionnaire, taxation registers and other official registers. 1975 was the first year the rotated sample method was used. Half the sample became part of the 1976 study. The purpose of this is to make better estimates of changes in income between succeeding years. This year was also the first where a longitudinal method was used. Starting every fifth year the income-changes will be followed up during a ten-year period. The purpose of this is to be able to answer questions about income-changes and income stability over longer periods. To be able to manage these changes in the study-design, a transition was made in 1975 from household sampling to individual sampling. The study is divided into four separate files and they contain information about sampling, work: weeks/year, hours/week, full-time work, occupation, sickness benefits, study benefits, social security, assessment data, family allowance, demography, socioeconomy, number and age of children, type of household, occupation variables, income variables, properties, business and discretionary assessment.Hushållens inkomster är en årlig undersökning av cirka 10 000 hushålls ekonomi baserad på data från en enkät, skatteregister och andra officiella register. 1975 var det första året som den roterande urvalsmetoden användes. Hälften av urvalet ingick i 1976 års studie. Syftet med detta är att göra bättre uppskattningar av inkomstförändringar mellan på varandra följande år. Detta år var också det första där en longitudinell metod användes. Var femte år kommer inkomstförändringarna att följas upp under en tioårsperiod. Syftet med detta är att kunna besvara frågor om inkomstförändringar och inkomststabilitet över längre perioder. För att kunna hantera dessa förändringar i studiens utformning gjordes 1975 en övergång från hushållsprovtagning till individuell provtagning. Studien är uppdelad i fyra separata filer som innehåller information om urval, arbete: veckor/år, timmar/vecka, heltidsarbete, yrke, sjukpenning, studiebidrag, socialförsäkring, bedömningsdata, barnbidrag, demografi, socioekonomi, antal och ålder på barn, typ av hushåll, yrkesvariabler, inkomstvariabler, egendom, företag och diskretionär bedömning
National monitoring program for non-indigenous species (NIS), Sweden 2024
No full textThis project reports genetic data from the non-indigenous species (NIS) monitoring program in Sweden in 2024, as commissioned by the Swedish Agency for Marine and Water Management, SwAM. The data were collected and submitted by Seanalytics, www.seanalytics.se in collaboration with University of Gothenburg. Sampling locations were situated in ports and marinas along the Swedish coast, including the Bothnian gulf, the Swedish West coast and Southern coast. Three types of samples (water samples, plankton samples, hard bottom samples) were collected during two seasons - late spring and late summer. Species were identified using COI metabarcoding. The dataset includes ASVs (amplicon sequence variants) and their associated metadata. Field protocols are documented in Sundberg et al (2024) DNA-baserad övervakning av arter i akvatisk miljö - verifiering och tillämpning. Naturvårdsverket rapport. pp 44. Rapport 7157. ISBN 978-91-620-7157-8 and Sundberg et al (2022) Genetic methods in environmental monitoring: Early detection and monitoring of non-indigenous species based on DNA. Report to the Swedish Agency for Marine and Water Management 2022:4. ISBN: 978-91-89329-32-4.
This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/)
REBUS93 - Rehabiliteringsundersökningen i Stockholms län 1993
No full textREBUS-93 meant that data collected on the work, leisure and family situation of the REBUS survey 1969/70, together with retroactively collected information on physical and psychosocial working conditions for the years 1970 to 1993 could be tested as independent factors for musculoskeletal morbidity, mental symptoms and low functionality 24 years later, i.e. a lifetime perspective could be put on found relationships.
Purpose:
The purpose of REBUS-93 was to identify risk factors for musculoskeletal disorders, mental symptoms and low physical function.REBUS-93 innebar att data insamlade om arbets- fritids- och familjesituation vid REBUS-undersökningen 1969/70, tillsammans med retroaktivt insamlad information om fysiska och psykosociala arbetsförhållanden för åren 1970 till 1993, kunde prövas som oberoende faktorer för muskuloskeletal sjuklighet, psykiska symtom och låg funktionsförmåga 24 år senare, d v s ett livstidsperspektiv kunde läggas på funna samband.
Syfte:
Syftet med REBUS-93 var att identifiera riskfaktorer för muskuloskeletala besvär, psykiska symptom och låg fysisk funktionsförmåg
Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance
No full textThe accurate prediction of the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) is critical for optimizing their performance in magnetic hyperthermia applications. This study presents the development of a predictive model for SAR using advanced machine learning techniques. A comprehensive dataset comprising 1,850 entries was compiled through the integration of 84 relevant scientific articles. The dataset listed 30 predictive features, including physical, chemical, and magnetic SPION properties, along with extrinsic experimental parameters commonly reported. Exploratory data analysis revealed complex nonlinear relationships among the predictive features. Twelve machine learning models were evaluated and refined using Bayesian hyperparameter optimization. The CatBoost algorithm emerged as the most effective model, achieving the lowest mean absolute error (20.92 W/g) and root mean squared error (39.41 W/g), along with a high coefficient of determination (R² = 0.98). Shapley Additive Explanation analysis identified the alternating magnetic field amplitude and frequency as the most influential factors, followed by SPION concentration and the surface area of the core nanoparticle. Conformal prediction analysis confirmed the model's reliability, providing a prediction interval of ±61.94 W/g. The model's generalization capability was validated using an independent dataset of SPIONs with varying sizes (from 7 nm to 30 nm) and dopants (Zn, Mn, Mg, and Co). The CatBoost model accurately predicted SAR values for small-sized nanoparticles (~7 nm), although predictions for medium (~15 nm) and large-sized (~30 nm) SPIONs exhibited greater variability. The study demonstrates that advanced machine learning models, such as CatBoost, can significantly contribute to the identification of nanoparticles with optimal properties for magnetic hyperthermia, thereby supporting their systematic and robust development for broader clinical use