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Meteorological data from Mycklemossen, S-mast-2
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.
Skogaryd Research Catchment (2025). Meteorological data from Mycklemossen, S-mast-2, 2018-01-01–2018-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/33g2DXCFf4Og4h16ddhOowa
Meteorological data from Mycklemossen, S-mast-2
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.
Skogaryd Research Catchment (2025). Meteorological data from Mycklemossen, S-mast-2, 2020 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/ecTgZQAeu3LiH2oyY_1s04y
Meteorological data from Feresjön, floating platform
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.
Asa Research Station (2025). Meteorological data from Feresjön, floating platform, 2023-05-05–2023-10-11 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/YUKRuy8A5xBWtJYK8R60NDP
Agrarhistorisk databas 1570-1810: befolkning, jordbruk, jordägande - Sockenvis jordbruksstatistik för perioderna kring 1570, 1630, 1690, 1750 och 1810.
No full textFrom an international point of view, Sweden has some partially unique historical statistics, including, among other things, statistics on population growth from 1749 onwards. In the Swedish archives though, there are very rich sources of various kinds, which could provide statistics for periods much further back in time. It is especially important for agricultural statistics, since the official data is not reliable until as late as about 1900. Particularly valuable material in terms of population and agriculture is preserved from the periods around 1570, 1630, 1690. For the period around 1570 and 1630 there are tax records of the number of animals in each parish. As from the first half of the 1600s, it becomes increasingly common with data on the arable land in maps and land surveying descriptions. Around 1690 survey records and maps were established for tens of thousands of farms, in connection with the introduction of the so-called allotment system. From 1736 onwards, hundreds of thousands of inventories of farmers have been preserved. They provide information about the deceased farmers’ animals and often on the seed corn. The sources also provide information on land ownership (taxed land, Crown land and land exempt from tax, owned by the nobility). For the former Danish and Norwegian districts (Halland, Blekinge, Skåne, Gotland, Bohuslän, Jämtland and Härjedalen) before Swedish times, partly other kinds of sources provide similar data.
Purpose:
The aim of the project is to create agricultural statistics covering all parishes within Sweden’s contemporary boundaries and the periods around 1570, 1630, 1690, 1750 and 1810, to supplement the population statistics for the same periods already published in 2000 (Lennart Palm, "The population of Swedish parishes and municipalities 1571-1997"). The agricultural statistics will provide easily accessible data for a large number of users, such as historians, economic historians, human geographers, geographers, sociologists, ethnologists, the County Administrative Board’s cultural environment planners, the staff of the Swedish National Heritage Board and of the county museums, as well as pupils working on school projects and local historians.Sverige har en internationellt sett delvis unik historisk statistik, bl a över befolkningsutvecklingen från 1749 och framåt. I de svenska arkiven finns dock mycket innehållsrika källor av olika slag som skulle kunna föra statistiken mycket längre tillbaks i tiden. Särskilt viktigt är det för jordbruksstatistiken, där den officiella inte börjar bli pålitlig förrän så sent som cirka 1900. Särskilt värdefullt material vad gäller befolkning och jordbruk finns bevarat från perioderna cirka 1570, 1630, 1690. För tiden cirka 1570 och 1630 finns skattelängder över antalet djur socken för socken. Fr o m första halvan av 1600-talet blir det allt vanligare med åkeruppgifter i kartor och anda lantmäteribeskrivningar. Runt 1690 upprättades besiktningsprotokoll och kartor i för 10 000-tals gårdar i samband med införandet av det s k indelningsverket. Från 1736 och framåt har hundratusentals bouppteckningar efter bönder bevarats. De ger uppgifter om de avlidnas djur och ofta spannmålsutsäde. Källorna ger också uppgifter om jordägandet (det s k mantalets skatte-, krono- och frälsejord). För de f d danska och norska landskapen (Halland, Blekinge, Skåne, Gotland, Bohuslän, Jämtland och Härjedalen) före svensktiden ger delvis andra slags källor liknande uppgifter.
Syfte:
Projektet vill skapa en sockenvid jordbruksstatistik för Sverige inom nutida gränser och perioderna cirka 1570, 1630, 1690, 1750 och 1810 som kan komplettera den folkmängdsstatistik för samma perioder som redan publicerats år 2000 (Lennart Palm, "Folkmängden i Sveriges socknar och kommuner 1571-1997"). Denna jordbruksstatistik kommer att ge lättillgängliga data för en stor mängd användare, t ex historiker, ekonomhistoriker, kulturgeografer, geografer, sociologer, etnologer, länsstyrelsernas kulturmiljöplanerare, riksantikvarieämbetets och länsmuseernas personal, projektarbetande skolungdom, hembygdsforskare
Atmospheric N2O product from Svartberget (85.0 m)
No full textAtmospheric N2O concentrations, both ICOS and non-/pre-ICOS data, delivered by the Atmospheric Thematic Center
Larmanou, E., Marklund, P. (2025). Atmospheric N2O product from Svartberget (85.0 m), 2025-03-27–2025-03-31, European ObsPack, https://hdl.handle.net/11676/vYpi2IN-yvGnubpIs7ZvSos
Anaerobic breviate protist survival in microcosms depends on microbiome metabolic function.
No full textAdditional data associated with the article "Anaerobic breviate protist survival in microcosms depends on microbiome metabolic function." (see preprint under "Related Material").
ABSTRACT
Anoxic and hypoxic environments serve as habitats for diverse microorganisms, including unicellular eukaryotes (protists) and prokaryotes. To thrive in low-oxygen environments, protists and prokaryotes often establish specialized metabolic cross-feeding associations, such as syntrophy, with other microorganisms. Previous studies show that the breviate protist Lenisia limosa engages in a mutualistic association with a denitrifying Arcobacter bacterium based on hydrogen exchange. Here, we investigate if the ability to form metabolic interactions is conserved in other breviates by studying five diverse breviate microcosms and their associated bacteria. We show that five laboratory microcosms of marine breviates live with multiple hydrogen-consuming prokaryotes that are predicted to have different preferences for terminal electron acceptors using genome-resolved metagenomics. Growth of the protists within the microcosms respond differently to electron acceptors depending on the make-up of the prokaryotic community. We find that the metabolic capabilities of the bacteria and not their taxonomic affiliations determine protist growth and survival and present new potential protist-interacting bacteria from the Arcobacteraceae, Desulfovibrioaceae and Terasakiella lineages. This investigation uncovers potential nitrogen and sulfur cycling pathways within these bacterial populations, hinting at their roles in syntrophic interactions with the protists via hydrogen exchange.
Files included:
- 16S_Breviate_Associated_Trees - 16S rRNA phylogenetic trees for breviate-associated bacteria, including alignments, IQ-TREE outputs, and colorized tree visualizations.
- 18S_Breviate_Associated_Trees - 18S rRNA sequences from multiple sources, alignments processed with SSU-align and SSU-mask, and phylogenetic trees generated using IQ-TREE.
- Arcobacter_EP1_Annotation - Gene prediction and annotation of Arcobacter sp. EP1 (GCA_001655195.1) using Prokka.
- DIC_breviates - Differential interference contrast (DIC) microscopy images of breviates.
- FlowCam_classified_images - classified FlowCam generated images, used for evaluating breviate concentrations.
- FISH_breviate_microscosm - Fluorescence in situ hybridization (FISH) images of breviate microscosms.
- FISH_interaction_percentages - FISH raw photos used to estimate the number of bacterial cells with FISH signal that interacted with the breviate cells.
- GTDBtk_Classification_and_Phylogeny - GTDB-tk classification and phylogenetic placement of Arcobacteraceae, Desulfovibrionaceae, and Terasakiella genomes.
- Metagenomic_MAGs - Metagenome-assembled genomes (MAGs) generated through anvi’o binning and reassembled using Trycycler, with taxonomic classification, metabolic annotation, and quality assessment.
Each compressed directory includes a README file describing its contents in detail. Additionally, a general README and manifest file are also included in this repository for navigation and reuse
Chemical variables - stream from Tarfalajokk, Water sample B
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.
Tarfala Research Station (2025). Chemical variables - stream from Tarfalajokk, Water sample B, 2014-07-08–2014-09-16 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/FRM1wRmilclTMVFHhEq_bHM
Chemical variables - stream from Tarfalajokk, Water sample A
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.
Tarfala Research Station (2025). Chemical variables - stream from Tarfalajokk, Water sample A, 2017-05-20–2017-09-12 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/p4-X7JvwIiu82xh4UDwycqb
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, 2023-01-01–2023-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/9T-sne9WmUybu58kW6lbse4
Meteorological data from Eatnamvarri
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 Eatnamvarri, 2020-10-28–2021-03-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/uL6seQGb6tHUgynCrPbcdsS