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Analys av diversitet, relativ abundans och artsammansättning av ektomykorrhizal svamp i tallskogarna vid Effaråsen: Effekter av hänsynsnivå, trädavstånd och kronstorlek.
No full textThis dataset comprises ecological and taxonomic data collected in 2017 from Scots pine forest stands in Effaråsen, Sweden, focusing on ectomycorrhizal (ECM) fungi diversity and SCATA counts. It includes three data files: (1) ECM2017.csv, the raw data, containing relative abundance data for ECM fungi across 245 soil samples with associated retention level categories; (2) stand_leveldata.csv, the aggregated data to the stand level, providing ecological data for the 25 forest stands ; and (3) tax_2017.csv, which lists species taxonomy, SCATA groups, genus, and functional group classifications for the species present in the study. The data were processed using SCATA or standardized taxonomic grouping. An accompanying R script (R_code_clean.R) performs data cleaning, diversity estimation using iNEXT, multivariate ordination (NMDS), correlation analyses, and visualization. This script requires specific R packages listed in the R file, and assumes data files are stored in a relative ./data directory. The dataset supports ecological and mycological research by providing detailed community composition and environmental variables relevant to Scots pine forest fungal diversity in northern Sweden.Dessa data består av ekologiska och taxonomiska data insamlade 2017 från tallskogar i Effaråsen, Sverige, med fokus på diversitet i form av SCATA-räkningar för ektomykorrhizasvampar (ECM). Den innehåller tre datafiler: (1) ECM2017.csv, rådata med relativ abundansdata för ECM-svampar från 245 jordprover med tillhörande retentionnivå-kategorier; (2) stand_leveldata.csv, aggregerade data på beståndsnivå som innehåller ekologiska data för 25 skogsbestånd; och (3) tax_2017.csv, som listar artens taxonomi, SCATA-grupper, släkte samt funktionella gruppindelningar för de arter som förekommer i studien. Data har bearbetats med hjälp av SCATA eller standardiserad taxonomisk gruppering för att underlätta statistiska analyser. Ett medföljande R-skript (R_code_clean.R) utför datarengöring, uppskattning av diversitet med iNEXT, multivariat ordination (NMDS), korrelationsanalyser och visualiseringar. Detta skript kräver specifika R-paket som anges i R-filen och förutsätter att datafilerna finns i en relativ mapp ./data. Datasetet stöder ekologisk och mykologisk forskning genom att tillhandahålla detaljerad information om artsammansättning och miljövariabler som är relevanta för ECM-svampars mångfald i tallskogar i norra Sverige
Data och kod för "The potential of semiochemical blends to monitor saproxylic beetle communities"
No full textThis folder contains all data and code used in the article "The potential of semiochemical blends to monitor saproxylic beetle communities" by Viktor Gårdman, Bo Aulin, Mikael A. Molander, & Mats Jonsell.
The data stems from sampling of saproxylic beetles using crosstraps baited with one of three different pheromone blends between 2017-2023 (excluding 2022) at three different harbors in southern Sweden: Gothenburg (57.7017° N, 11.9479° E), Mönsterås (57.0416° N, 16.4431° E) and Norrköping (58.5877° N, 16.1924° E). Individual counts of all recorded species of saproxylic weevils (Curculionidae) (including barkbeetles (Scolytinae)), long-horned beetles (Cerambycidae), and jewel beetles (Buprestidae) are provided per month, year, harbor, blend and number of traps used. The data collection has been conducted by the Swedish Board of Agriculture with the aim to survey the potential entry of woodboring pests through timber import to Swedish harbors. Identification of beetles has been done by experts at the Swedish University of Agricultural Sciences. All data files are .csv files. Note that more types of pheromone blends or other attractants have been used in other traps at the same sites, and that more sites have been monitored throughout years. The data here is only from consistently used sites and blends between 2017-2023. For the complete dataset on catches of beetles across all sampling sites and baits, please refer to the Swedish Board of Agriculture (https://jordbruksverket.se/).
The SpeciesMatrix contains raw counts of individuals sampled per species and month, year, harbor, and blend. The number of traps used at each occasion is also given.
Data on tree host preferences (file 'TreeHost') for the sampled species was extracted from the Swedish Species Information Center (SLU ArtDatabanken, https://artfakta.se/).
The GLMM_Species_Modified folder contains individual .csv files of counts for each species deemed suitable for individual analysis per harbor, year, month, and blend. The number of traps used for every occasion is also given. These files have further has modified to remove excess zeros. To avoid zero-inflation, any years, harbors, or baits with zero findings for each species have been removed. These are the files used to run the GLMM models.
The SSOS file contains all records of saproxylic weevils, bark beetles, long-horned beetles, and jewel beetles found in the publicly available records in the Swedish Species Observations System (SSOS = "Artportalen", https://www.artportalen.se/) in a 10x10km square around each harbor between 2017-2023.
All analyses were conducted using R version 4.4.0 and the code is presented through Rmarkdown.Den här mappen innehåller data och kod till artikeln ”The potential of semiochemical blends to monitor saproxylic beetle communities” av Viktor Gårdman, Bo Aulin, Mikael A. Molander & Mats Jonsell.
Rådatan härstammar från jordbruksverkets övervakning av vedlevande skalbaggar vid Sveriges hamnar. Skalbaggarna samlas in med crosstraps betade med en av tre feromonblandningar. Detta har gjorts mellan 2017-2023 (exklusive 2022) vid tre olika hamnar i södra Sverige: Göteborg (57,7017° N, 11,9479° E), Mönsterås (57,0416° N, 16,4431° E) och Norrköping (58,5877° N, 16,1924° E). Alla registrerade arter av vedlevande vivlar (Curculionidae) (inklusive barkborrar (Scolytinae)), långhorningar (Cerambycidae) och praktbaggar (Buprestidae) har räknats till individantal. Datan anger individantal av varje art per månad, år, hamn, feromonblandning och antal fällor som använts. Datainsamlingen har utförts av Jordbruksverket i syfte att kartlägga den potentiella införseln av vedlevande skadegörare genom timmerimport till svenska hamnar. Identifieringen av skalbaggarna har gjorts av experter vid Sveriges lantbruksuniversitet. Alla datafiler är .csv-filer. Observera att fler typer av feromonblandningar eller andra lockmedel har använts i andra fällor på samma platser, och att fler platser har övervakats under åren. Uppgifterna här är endast från konsekvent använda platser och blandningar mellan 2017-2023. För fullständiga uppgifter om fångster av skalbaggar från alla provtagningslokaler och beten, kontakta Jordbruksverket (https://jordbruksverket.se/).
SpeciesMatrix innehåller rådata av individer som provtagits per art och månad, år, hamn och feromonblandning. Antalet fällor som användes vid varje tillfälle anges också.
Data kring vilka trädslag arterna lever av (filen ”TreeHost”) hämtades från ArtDatabanken (SLU ArtDatabanken, https://artfakta.se/).
Mappen GLMM_Species_Modified innehåller individuella .csv filer för varje art som valts ut för individuella analyser med individalantal för varje kombination av år, månad, hamn och bete. Även information om antalet fällor per fångstillfälle anges. Hamnar, år eller beten med noll fynd för varje art har tagits bort. Syftet med detta är att undvika zero-inflation i modellerna. GLMM_Species_Modified innehåller alltså filerna som används för att köra GLMM-modellerna.
SSOS filen innehåller alla vedlevande vivlar, barkborrar, långhorningar och praktbaggar som rapporterats från Artportalen i en 10x10km ruta kring varje hamn mellan 2017-2023 (https://www.artportalen.se/).
Alla analyser är utförda i R version 4.4.0 och presenteras via Rmarkdown
Data from the project "Salt efflorescence on leather objects from the Vasa ship - part II" (project identifyer RAÄ-2021-3143)
No full textData from the project "Salt efflorescence on leather objects from the Vasa ship - part II" (project identifyer Dnr RAÄ-2021-3143). Data from the following analytical techniques is included: 1. Scanning electron microscopy with energy dispersive x-ray spectroscopy (SEM-EDS); 2. Raman spectroscopy; 3. FTIR spectroscopy. Instrument reports including technical specifications of each instrument as well as a sampling protocol are included. Part I of the project is found at DOI: 10.5281/zenodo.10572840
Obspack N2O time-series result from Svartberget (85.0 m)
No full textThis data file contains high accuracy European ObsPack observational timeseries in netCDF format of ambient mole fraction of n2o in dry air collected at Svartberget (85.0 m). The measurements were calibrated using the WMO GAW calibration scale NOAA-2006A. Included are (all whenever available) historical PI QCed data, ICOS Level 2 data, ICOS FastTrack data and ICOS NRT data. It is part of the 2025.3 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Metadata for the full n2o product release are available at https://commons.datacite.org/doi.org/10.18160/NKFH-2P0Z. Please also visit http://www.gml.noaa.gov/ccgg/obspack/ for more information. If you use these data in your research, please consider citing the full ObsPack release that this file is part of (https://commons.datacite.org/doi.org/10.18160/46ST-DEVK).
ICOS RI, Larmanou, E., Marklund, P., Ottosson-Löfvenius, M., Smith, P. (2025). Obspack N2O time-series result from Svartberget (85.0 m), 2025-03-27–2025-10-02, European ObsPack, https://hdl.handle.net/11676/lJA5FNaoPFw6nh5F2SW5nM3
Obspack CO2 time-series result from Norunda (32.0 m)
No full textThis data file contains high accuracy European ObsPack observational timeseries in netCDF format of ambient mole fraction of co2 in dry air collected at Norunda (32.0 m). The measurements were calibrated using the WMO GAW calibration scale WMO CO2 X2019. Included are (all whenever available) historical PI QCed data, ICOS Level 2 data, ICOS FastTrack data and ICOS NRT data. It is part of the 2025.3 FastTrack update of the Globalview EU CO2 data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Metadata for the full co2 product release are available at https://commons.datacite.org/doi.org/10.18160/R0PE-1H0Z. Please also visit http://www.gml.noaa.gov/ccgg/obspack/ for more information. If you use these data in your research, please consider citing the full ObsPack release that this file is part of (https://commons.datacite.org/doi.org/10.18160/46ST-DEVK).
ICOS RI, Lehner, I., Molder, M. (2025). Obspack CO2 time-series result from Norunda (32.0 m), 2017-01-31–2025-10-01, European ObsPack, https://hdl.handle.net/11676/tXzL5-W10BPFgfAJwmGIa6U
Obspack CH4 time-series result from Svartberget (35.0 m)
No full textThis data file contains high accuracy European ObsPack observational timeseries in netCDF format of ambient mole fraction of ch4 in dry air collected at Svartberget (35.0 m). The measurements were calibrated using the WMO GAW calibration scale WMO X2004A. Included are (all whenever available) historical PI QCed data, ICOS Level 2 data, ICOS FastTrack data and ICOS NRT data. It is part of the 2025.3 FastTrack update of the Globalview EU CH4 data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies. Metadata for the full ch4 product release are available at https://commons.datacite.org/doi.org/10.18160/3TB5-D6TM. Please also visit http://www.gml.noaa.gov/ccgg/obspack/ for more information. If you use these data in your research, please consider citing the full ObsPack release that this file is part of (https://commons.datacite.org/doi.org/10.18160/46ST-DEVK).
ICOS RI, Larmanou, E., Marklund, P., Ottosson-Löfvenius, M., Smith, P. (2025). Obspack CH4 time-series result from Svartberget (35.0 m), 2017-05-31–2025-10-02, European ObsPack, https://hdl.handle.net/11676/XCPOUjjW4lU11-5SMdm4-aq
Subcellular Thiol Functional Group Distribution in Geobacter sulfurreducens Determined by Hg LIII-Edge EXAFS: Research Data
No full textThis dataset is linked to a manuscript that is currently under submission: “Subcellular Thiol Functional Group Distribution in Geobacter sulfurreducens Determined by Hg LIII-Edge EXAFS.” The dataset includes diverse measurements and spectroscopic data used to investigate subcellular thiol concentrations in Geobacter sulfurreducens PCA (G. sulfurreducens).
The dataset comprises measurements of subcellular biomass, total organic carbon (TOC), total sulfur (TS), thiol groups (RSH), and spectroscopic data (EXAFS and XANES) collected to characterize subcellular compartments of G. sulfurreducens PCA (Caccavo et al., 1994), including extracellular, periplasmic, cytoplasmic, and membrane fractions.
TOC and TS were quantified using an elemental analyzer (Vario MACRO cube) with a relative standard deviation (RSD) of 0.5%. Total mercury concentrations were determined by combustion atomic absorption spectrometry with a direct mercury analyzer (DMA-80, Milestone; detection limit = 0.01 ng; RSD = 6%).
Sulfur K-edge XANES spectra were collected at the 4B7A Medium Energy X-ray Beamline of the Beijing Synchrotron Radiation Facility. Data processing, including normalization and linear combination fitting (LCF), was performed using the Larch software package.
Hg LIII-edge EXAFS spectra were acquired at Diamond Light Source (Beamline I20-scanning). Data analysis and fitting were carried out using WinXAS in combination with FEFF-7.
Further details are provided in the accompanying README.txt file. Full publication details, including the journal name, will be added once the manuscript has been accepted and published.Detta dataset är kopplat till ett manuskript som för närvarande är under granskning: “Subcellular Thiol Functional Group Distribution in Geobacter sulfurreducens Determined by Hg LIII-Edge EXAFS.” Datasetet innehåller olika mätningar och spektroskopiska data som används för att undersöka subcellulära tiolkoncentrationer i Geobacter sulfurreducens PCA (G. sulfurreducens).
Datasetet omfattar mätningar av subcellulär biomassa, totalt organiskt kol (TOC), totalt svavel (TS), tiolgrupper (RSH) samt spektroskopiska data (EXAFS och XANES) insamlade för att karakterisera subcellulära fraktioner av G. sulfurreducens PCA (Caccavo et al., 1994), inklusive extracellulära, periplasmiska, cytoplasmatiska och membranfraktioner.
TOC och TS kvantifierades med en elementaranalysator (Vario MACRO cube) med en relativ standardavvikelse (RSD) på 0,5 %. Totala kvicksilverkoncentrationer bestämdes med förbränningsatomabsorptionsspektrometri med en direktkvicksilveranalysator (DMA-80, Milestone; detektionsgräns = 0,01 ng; RSD = 6 %).
Svavel K-kant XANES-spektra samlades in vid 4B7A Medium Energy X-ray Beamline vid Beijing Synchrotron Radiation Facility. Databearbetning, inklusive normalisering och linjärkombinationsanpassning (LCF), utfördes med Larch-programvaran.
Hg LIII-kant EXAFS-spektra erhölls vid Diamond Light Source (Beamline I20-scanning). Dataanalys och anpassning utfördes med WinXAS i kombination med FEFF-7.
Ytterligare detaljer finns i den medföljande filen README.txt. Fullständiga publiceringsuppgifter, inklusive tidskriftsnamn, kommer att tillhandahållas när manuskriptet har accepterats och publicerats
Lake variables - Chlorophyll from Erken
No full textA high-frequency record of chlorophyll fluorescence measurements collected during both under-ice and open-water periods using sonde technology. The dataset includes values adjusted using laboratory measurements.
Erken Laboratory (2025). Lake variables - Chlorophyll from Erken, 2019-04-17–2024-11-13 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/w1di9Z4rHVXirQR7FxM02TR