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Chemical variables - stream from Erken Catchment, Norra Järsö
No full textManual grab samples from the stream for chemical analysis are taken on a biweekly basis during ice-free conditions, and on a monthly basis in the presence of stream ice.
Erken Laboratory (2025). Chemical variables - stream from Erken Catchment, Norra Järsö, 2014-01-14–2024-12-10 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/WsOlrFjzLWWrIO1jm2Fg6FM
Fluxnet Product from Abisko-Stordalen Palsa Bog
No full textSubset of half-hourly Fluxes and Meteo measurements processed with the international standard FLUXNET procedure (ONEFlux suite) for fast plotting purposes. Full data available in the Archive product.
Lundin, E., Crill, P., Grudd, H., Holst, J., Kristoffersson, A., Meire, A., Molder, M., Rakos, N. (2025). Fluxnet Product from Abisko-Stordalen Palsa Bog, 2021-12-31–2024-12-31, FLUXNET, https://hdl.handle.net/11676/ryLKIsi4Dq3_U0P_6loTDZM
Nätbaserad vestibulär rehabilitering jämfört med standardbehandling efter akut yrsel
No full textRCT with n=183 study participants randomized to vestibular rehabilitation via the internet (app) or written instructions. Follow-ups beyond baseline were conducted at 3 weeks, 6 weeks, 3 months, and 12 months. The material contains data on balance, well-being, quality of life, walking ability and vestibulo-occular reflex. The aim of the study is to evaluate whether web-based vestibular rehabilitation (intervention) is more effective than written instructions (control group) after acute dizziness.RCT med n=183 studiedeltagare som lottats till vestibulär rehabilitering via nätet (app) eller skrivna instruktioner. Uppföljningar utöver baslinjen vid 3 veckor, 6 veckor, 3 månader och 12 månader. Data på balans, mående, livskvalitet, gångförmåga och vestibulo-ockulär reflex ingår i materialet. Syftet med studien är att utvärdera om nätbaserad vestibulär rehabilitering (intervention) är mer effektivt än skrivna instruktioner (kontrollgrupp) efter akut yrsel
ETC L2 Meteo from Svartberget
No full textHalf-hourly meteorological variables with values aggregated spatially (e.g. one single soil temperature value per layer) calculated by the ICOS ETC starting from the single sensor half-hourly measurements.
Peichl, M., Nilsson, M., Larmanou, E., Smith, P., Marklund, P., De Simon, G., Lofvenius, P., Dignam, R., Holst, J., Molder, M., Andersson, T., Boschetti, F., Kozii, N., Linderson, M., Ottosson-Löfvenius, M. (2025). ETC L2 Meteo from Svartberget, 2018-12-31–2025-09-30, ICOS RI, https://hdl.handle.net/11676/8oTeFUrMV6_4yC_xeD8PFAk
ETC L2 Fluxes from Svartberget
No full textHalf-hourly eddy covariance fluxes, all the quality tests results, storage fluxes and footprint information calculated by the ICOS ETC starting from the raw data
Peichl, M., Nilsson, M., Larmanou, E., Smith, P., Marklund, P., De Simon, G., Lofvenius, P., Dignam, R., Holst, J., Molder, M., Andersson, T., Boschetti, F., Kozii, N., Linderson, M., Ottosson-Löfvenius, M. (2025). ETC L2 Fluxes from Svartberget, 2018-12-31–2025-09-30, ICOS RI, https://hdl.handle.net/11676/n0nlmpwlGgQxsa1P2COp0w3
Replication package for paper Labor Market Competition and Xenophobia: A Regional Analysis of Labor Market Competition in Europe 2010-2020.
No full textReplication package for Labor Market Competition and Xenophobia: A Regional Analysis of Labor Market Competition in Europe 2010-2020.
This analysis uses third party datasets: EU-LFS and ESS data.
Analysis was carried out in Stata (.do files include analysis and .dta files are datasets)
*To apply for access to EU-LFS visit https://ec.europa.eu/eurostat/web/microdata/european-union-labour-force-survey
*To download ESS data visit https://ess.sikt.no/en/data-builder
Data för: The Changing Character of U.S.-China Economic Relations: From Competition to Geopolitical Rivalry, 2018-2023
No full textThis data set compiles measures taken by the U.S. and China to escalate the trade war between 01-01-2018 to 15-11-2023. To collect these measures, we have utilised lists and timelines, and articles on the U.S.-China trade war from several academic sources, credible news outlets, primary sources, and reports from established research institutes. A measure in the trade war is defined as an action by China or the U.S. targeting only - or primarily - the other party to disrupt trade or other flows of money and/or commercial goods between the countries to further a political goal. The variables are of categorical nature, as we assess the specific type of action undertaken, be it a tariff, sanction, or ban.Detta dataset omfattar åtgärder som har vidtagits av USA eller Kina i handelskriget mellan datumen 01-01-2018 till 15-11-2023. För att kunna sammanställa dessa åtgärder har vi använt oss av olika listor, tidslinjer och artiklar från ett urval av olika källor från olika akademiska källor, nyhetsartiklar, förstahandskällor samt från etablerade forskningsinstitut. En åtgärd i handelskriget definieras som en handling från Kina eller USA som enbart - eller i första hand - riktar sig mot den andra aktören för att störa handeln för att främja ett politiskt mål. Variablerna är av kategoriskt värde då vi exempelvis mäter vad för typ av åtgärd som vidtagits, om det är en tull, sanktion eller förbud
SLU Viltfoderkartor
No full textThis dataset contains the SLU Forage Availability Map.
This dataset contains 12 maps, distributed as .tif files.
They show the predicted abundance of the pine (Pinus sylvestris), rowan (Sorbus aucuparia), oak (Quercus spp.), willow (Salix caprea), aspen (Populus tremula) and birch (Betula spp.) trees from 10 cm height to 4 cm diameter at breast height across the country using data from the Swedish National Forest Inventory and remote sensing datasets. Map products are aggregated to a 1ha and a 1km2 scale and show the average amount of trees estimated per spatial unit.
For more information on the development of this dataset, please see the article:
https://doi.org/10.1016/j.jag.2025.104850
For access to the 10x10m maps, contact the authors.Detta dataset innehåller SLU:s kartor över tillgången på viltfoder.
Inkluderat är 12 kartor, distribuerade som .tif-filer.
Kartorna visar den förväntade abundansen av tall (Pinus sylvestris), rönn (Sorbus aucuparia), ek (Quercus spp.), sälg (Salix caprea), asp (Populus tremula) och björk (Betula spp.) från 10 cm höjd till 4 cm brösthöjdsdiameter, på Sveriges skogsmark. Modellerna har skapats med hjälp av data från Riksskogstaxeringen och fjärranalysdata. Kartprodukterna är aggregerade till en skala på 1 ha och 1 km2 och visar det genomsnittliga antalet träd uppskattat per rumslig enhet.
För mer information om utvecklingen av detta dataset, se artikeln: https://doi.org/10.1016/j.jag.2025.10485
GA2411 - scWGS kit evaluation: BioSkryb PTA vs Qiagen MDA on MM1S cells - Illumina Infinium GSAv3 data
No full textSummaryIn this study, we systematically compared two single cell whole genome sequencing (scWGS) kits in the MDA-based REPLI-g Single Cell Kit from Qiagen and the PTA-based ResolveDNA Whole Genome Amplification Kit from BioSkryb. The kits were evaluated across several key metrics, including amplification bias and coverage uniformity and copy number variant (CNV) calling.
MethodsCultured MM.1S cells (a multiple myeloma cell-line) were incubated with propidium iodide (PI) and through Fluorescence-Activated Cell Sorting (FACS) sorted using the BD FACSAria IIu. Single or multiple cells were deposited using single cell mode into 96-well plates containing the recommended buffer for the Qiagen Repli-G MDA and BioSkryb ResolveDNA PTA kits. Cell sorting was performed on the same occasion and from the same sample of MM1.S cells to ensure minimal sample variation. For each kit, 26 wells with a single cells and two wells with 10 cells were FACS sorted into the 96-well plate. In addition, two wells with a mini-bulk of 10 cells, two positive controls wells with 1ng of genomic DNA (provided with the BioyoSkryb kit) in buffer and two empty wells (negative control containing only with buffer) were also included in each plate. Whole Genome Amplification (WGA) was performed using Multiple Displacement Amplification (MDA) using the Repli-G kit (Qiagen, Cat no: 1124559, 180318 and 1124693) or Primary Template-directed Amplification (PTA) using the ResolveDNA kit (BioSkryb, PN: 100136, 100691 and 100940) was performed according to the manufacturer’s instructions. After amplificaiton, ten random single wells, one mini-bulk and one positive control well were further selected for library preparation, using the same BioSkryb or Qiagen kit and finally qPCR quantification prior to sequencing. Illumina sequencing data for the scWGS kit samples is available on ENA under the study accession PRJEB97702. The same WGA DNA was also subjected to genotyping using the Illumina Infinium Global Screening Array v3.0 (Illumina). Arrays were processed on an Illumina iScan system according to the manufacturer's instructions. Initial data processing and genotype calling were performed in GenomeStudio (Illumina, v2.0.3), using Human Reference Genome build 38 (GRCh38) as reference.
Genotyping details
- Number of analyzed markers: 650 181
- Number of analyzed samples or individuals: 22
- Organism: Homo sapiens
The genotyping was performed using the Illumina Infinium assay and the results were analyzed using the software GenomeStudio 2.0.3.
- BeadChip type: GSA-24v3-0_A2
- Manifest file: GSA-24v3-0_A2.bpm
- Genome build version: 38
- Cluster file ICF: GSA-24v3-0_A1_ClusterFile.egt
ICF (Illumina Cluster File) result files represent genotyping data generated using cluster definitions established by Illumina from a reference DNA sample set. These reference-based cluster files are used when project-specific cluster files (PCF) are not available—typically in projects with fewer than 100 samples, where creating reliable project-based clusters is not feasible. In such cases, Illumina recommends using ICF files as they provide standardized clustering information derived from a larger, validated reference dataset, ensuring consistent genotype calling across experiments.
The result folders and files have the extension name ̈PLUS ̈. This refers to that the file is based on genotype data exported from PLUS DNA strand according to the Human Reference Genome build38, as given in the marker file GSA-24v3-0_A2.csv.
Contents
Content are compressed using 7-Zip
Folder: XK-4162_250519_ResultReport
- Description of result report: XK-4162_250519_ResultReport.pdf
- Manifest file: GSA-24v3-0_A2.csv
- Cluster file: GSA-24v3-0_A1_ClusterFile.egt
Folder: XK-4162_250519_ResultReport_ICF_PLUS
- Statistics from the genotyping: XK-4162_250519_GenotypingStatistics_ICF_PLUS.xlsx
- Genotype data: XK-4162_250519_SNPGenotypeExport_ICF_PLUS.txt
- Results from HapMap comparison: XK-4162_250519_HapMap_1KG_Comparision_ICF_PLUS.xlsx
- Identity test: XK-4162_250519_Identify_Item.xlsx
- Gender test: XK-4162_250519_GenderEstimation.xlsx
Folder: XK-4162_250519_PLINK_ICF_PLUS
PLINK files
- XK-4162_250519_PLINK_ICF_PLUS.map
- XK-4162_250519_PLINK_ICF_PLUS.ped
Folder: XK-4162_250519_IDAT
- IDAT files
- XK-4162_250519_Samplesheet.cs
UAV - Digital Terrain Elevation Model (DTM) from Stordalen Mire UAV Mire
No full textDigital Surface Model generated from photos taken from an UAV platform using photo-stereography techniques. Nominal pixel size is 5 cm.
Abisko Scientific Research Station (2025). UAV - Digital Terrain Elevation Model (DTM) from Stordalen Mire UAV Mire, 2024-06-12 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/SfH9IQ_3z9UDb_Rfflv3VaX