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Supplementary Fig. 9d-g | Metabolic profiling of ALS motor neurons
No full textThis item is part of the Figshare Project:
Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution (https://su.figshare.com/projects/Early_mitochondrial_dysfunction_revealed_across_FUS-_and_TARDBP-ALS_at_single_cell_resolution/163252)
From Data Availability Statement for the paper in Nature Communications entitled:
Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS
"We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The C9orf72-ALS bulk RNA sequencing data was retrieved directly from the authors of the study.
[Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files."
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[Item specific description:]
Metabolic profiling of in-vitro differentiated ALS motor neurons using Seahorse metabolic flux measurements.
The raw experimental files generated with the Seahorse XF flux analyser (Agilent). are in the proprietary file format ASYR. More information about the ASYR file format can be found here: https://www.agilent.com/cs/pubimages/misc/ReadMe_Wave_Desktop_2-6.pd
Supplementary Fig. 4c | Interneuron marker expression
No full textThis item is part of the Figshare Project:
Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution (https://su.figshare.com/projects/Early_mitochondrial_dysfunction_revealed_across_FUS-_and_TARDBP-ALS_at_single_cell_resolution/163252)
From Data Availability Statement for the paper in Nature Communications entitled:
Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS
"We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The C9orf72-ALS bulk RNA sequencing data was retrieved directly from the authors of the study.
[Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files."
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[Item specific description:]
Immunofluorescence microscopy of interneuron marker expression in spinal motor neuron differentiations.
The file format is .czi, through the ZEN software (Zeiss). Zeiss recommends using ImageJ and the ImageJ-based Fiji software package (https://imagej.net/software/fiji/) .
Information about the file format CZI can be found here: https://www.zeiss.com/microscopy/en/products/software/zeiss-zen/czi-image-file-format.htm
Fig. 2b-c | Quantitative immunofluorescence microscopy for intracellular FUS localization in ALS motor neurons
No full textThis item is part of the Figshare Project:
Early mitochondrial dysfunction revealed across FUS- and TARDBP-ALS at single cell resolution
From Data Availability Statement for the paper in Nature Communications entitled:
Single-cell RNA sequencing reveals early mitochondrial dysfunction unique to motor neurons shared across FUS- and TARDBP-ALS
"We have deposited all raw and processed RNA sequencing data generated in this study on the NCBI Gene Expression Omnibus (GEO) under the accession number GSE226482. The C9orf72-ALS bulk RNA sequencing data was retrieved directly from the authors of the study.
[Items under this Figshare Project contain:] "Scans of fluorescent western blots, raw imaging files from confocal microscopy, the analysis files from Opera Phenix, qPCR data sets, and Seahorse assay result files."
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[Item specific description:]
Quantititative fluorescene microscopy for FUS protein in ALS motor neurons
The dataset are Harmony archives for the high content imager Opera Phenix (Perkim Elmer). The proprietary harmony software creates a database with file organization stored in xml and oar files and folders with raw tif files. More information here on our imaging platform: https://www.kclwcic.co.uk/operaphenix
These archives contain thousands of tif files. Therefore, they are compressed into tar.gz files with matching md5 checksums for verification.
The prism file is just a graphpad prism file with the summary data. More info here: https://www.graphpad.com/feature
Literature search results for scoping review of measuring instruments of university student study environment
No full textThe definitive search in electronic databases was performed on 20 January 2024, without time span limitations, yielding 102 results from APA_Psychinfo, 95 results from the Education Database, and 4 results from the Social Sciences Database published between 1976 and 2023. One article was found in all three databases, and 39 articles were found in both the APA_Psychinfo database and the Education base. The original search results from the respective databases are available here as supplementary material (Excelfile Dataset)
SLU långliggande jordbruksförsök: De svenska bördighetsförsöken (R3-9001), gröd- och markdata från 1962 och framåt
No full textThe SLU long-term agricultural field experiments are a nationwide research infrastructure consisting of experiments in hydrological management, tillage, landscape ecology, plant nutrition, weed biology and control, cropping systems, and cropping systems in northern Sweden. They are used to study how crop rotations and cultivation measures in agriculture affect soil properties and crop yields in the long term, and the effect of weather and climate on the efficacy of these treatments. The experimental sites and the data collected in the long-term experiments are a valuable resource for research, teaching and consulting. The experiments are open for those who want to use data already collected or who want to do their own sampling. All long term experiments are funded by the NJ faculty and administered by an academic department, with the activities coordinated by a committee.
Twenty four long-term field experiments in plant nutrition and soil fertility are currently managed by the Department of Soil and Environment at the Swedish University of Agricultural Sciences. These experiments, starting as early as 1936 or as recently as 2010, are grouped into eight different experimental series that focus on themes such as agronomically-relevant factors including liming, long-term soil fertility, soil organic matter and soil biology. Plant and soil samples have been collected, measured for standard parameters, and archived since the start of the experiments, forming the basis of over 200 theses and papers across a broad range of disciplines.
The Swedish long-term soil fertility experiments (R3-9001) were established at twelve different locations between 1957 and 1966, and nine of these experiments are on-going at present. These long-term experiments (LTEs) were designed to investigate how much the productivity of an agricultural soil could be increased by the use of mineral fertilisers. The focus was on the influence of natural site conditions (climate, soil type, etc.) compared to the influence of management practices. Which factors are most important for long-term productivity: fertilisation, crop rotation or natural conditions? In addition, the resilience of soils to nutrient depletion and intensive cash crop production was to be tested.
This data collection include yield, crop and soil data from the nine currently active experiments from the year 1962 (when the current experimental design were established) to 2022. Yield and crop data has been collected every year, and soil data has been collected at regular intervals depending on time period and location. The data has been checked for obvious outliers or faulty values, but cation is advised since this collection spans many years and has been collected and compiled by different persons during this time period. Please contact [email protected] if there are any questions regarding the data, or regarding the design and management of the long-term experiments.
Links to metadata records in the GLTEN (Global Long-Term Agricultural Experiment Network) platform are provided under Relations.SLU:s långliggande jordbruksförsök är en rikstäckande forskningsinfrastruktur som består av försök inom hydroteknik, jordbearbetning, landskapsekologi, växtnäring, ogräsbiologi och bekämpning, odlingssystem och odlingssystem i norra Sverige. De används för att studera hur växtföljder och odlingsåtgärder inom jordbruket påverkar markegenskaper och skördar på lång sikt, och hur väder och klimat påverkar effekten av dessa behandlingar. Försöksplatserna och de data som samlas in i de långliggande försöken är en värdefull resurs för forskning, undervisning och rådgivning. Experimenten är öppna för dem som vill använda redan insamlad data eller som vill göra egna provtagningar. Alla långsiktiga experiment finansieras av NJ-fakulteten och administreras av en akademisk institution, där verksamheten samordnas av en kommitté.
Tjugofyra långliggande fältförsök inom växtnäring sköts för närvarande av institutionen för mark och miljö vid Sveriges Lantbruksuniversitet. Dessa experiment, som började mellan 1936 och 2010, är grupperade i åtta olika försökserier som fokuserar på teman som agronomiskt relevanta faktorer inklusive kalkning, fosfor, långsiktig markbördighet, markens organiskt material och markbiologi. Växt- och jordprover har samlats in, mätts för standardparametrar och arkiverats sedan starten av försöket, vilket utgör grunden för över 200 avhandlingar och uppsatser inom ett brett spektrum av discipliner.
De svenska långliggande bördighetsförsöken (R3-9001) etablerades på tolv olika platser mellan 1957 och 1966, och nio av dessa försök pågår för närvarande. Dessa långliggande försök (LTE) var utformade för att undersöka hur mycket i en jordbruksmarks produktivitet kunde ökas genom användning av mineralgödsel. Fokus låg på påverkan av naturliga förhållanden på platsen (klimat, jordart etc.) jämfört med påverkan av skötselmetoder. Vilka faktorer är viktigast för den långsiktiga produktiviteten: gödsling, växtföljd eller naturliga förhållanden? Dessutom skulle markens motståndskraft mot utarmning av näringsämnen och intensiv odling testas.
Datainsamlingen omfattar skörd, grödo- och markdata från de nio nu aktiva försöken från år 1962 (då den nuvarande försöksdesignen etablerades) till 2022. Skörd- och grödodata har samlats in varje år och markdata har samlats in med regelbundna intervall beroende på tidsperiod och plats. Uppgifterna har kontrollerats med avseende på uppenbara extremvärden eller felaktiga värden, men försiktighet rekommenderas eftersom denna samling sträcker sig över många år och har samlats in och sammanställts av olika personer under denna tidsperiod. Vänligen kontakta [email protected] om du har några frågor om data eller om utformningen och hanteringen av de långliggande experimenten.
Länkar till metadata registrerad i GLTEN (Global Long-Term Agricultural Experiment Network) finns tillgängliga under "Relationer"
Atmospheric CH4 product from Hyltemossa (150.0 m)
No full textAtmospheric CH4 concentrations, both ICOS and non-/pre-ICOS data, delivered by the Atmospheric Thematic Center
Heliasz, M., Biermann, T. (2025). Atmospheric CH4 product from Hyltemossa (150.0 m), 2016-12-13–2025-03-31, European ObsPack, https://hdl.handle.net/11676/5CstlZW6UEhEAvGHgh1lEes
Atmospheric CH4 product from Hyltemossa (70.0 m)
No full textAtmospheric CH4 concentrations, both ICOS and non-/pre-ICOS data, delivered by the Atmospheric Thematic Center
Heliasz, M., Biermann, T. (2025). Atmospheric CH4 product from Hyltemossa (70.0 m), 2016-12-13–2025-03-31, European ObsPack, https://hdl.handle.net/11676/KFcT59SXn6MxsVCLGxVS2uO
Phenocam - Region Of Interest (ROI) Time Series from Lönnstorp Experimental Fields, Mast 10m 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.
Lönnstorp Research Station (2025). Phenocam - Region Of Interest (ROI) Time Series from Lönnstorp Experimental Fields, Mast 10m Phenocam 01, 2022-01-24–2025-04-30 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/JrhMJ7YeOiC1Q0WtxL7gZEn
Phenocam - Region Of Interest (ROI) Time Series from Skogaryd Central, Mast 38m 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.
Skogaryd Research Catchment (2025). Phenocam - Region Of Interest (ROI) Time Series from Skogaryd Central, Mast 38m Phenocam 01, 2022-02-03–2024-07-03 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/pu7Qk3ngQdJLR7-XKufg9SP
Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes
No full textThe work has been published as Parajuli et al. (2025) Diabetologia (https://doi.org/10.1007/s00125-025-06502-7) Frequent self-sampling of blood has the potential to identify early, disease-predictive markers, including proteins. In a study to test this hypothesis, we conducted regular microsampling of a mouse model over 14 days and monitored their molecular response to a type 1 diabetes (T1D)-associated virus.
This longitudinal approach involved the collection of dried blood samples, which were subsequently analysed for 92 circulating proteins. The data revealed transient molecular changes in the virus-infected mice. Utilising machine learning techniques, we achieved a prediction accuracy of over 90% for infection status after day 2 post-infection. This high level of accuracy enabled timely treatment interventions with immune serum, which could potentially prevent the onset of diabetes in the infected animals.
The data of this study underscores the utility of frequent blood microsampling as a method for monitoring disease progression during the pre-symptomatic phase, allowing for prompt medical interventions of immune-mediated inflammatory diseases, including T1D.
Description of data files:- Mouse DBS_Batch 1_ProtPQN data_rmd1021.csv: ProtPQN normalised NPX values for Study batch 1. The signals are in log2-scale. All columns not described below contain protein measurements.
- Mouse DBS_Batch 2_ProtPQN data.csv: ProtPQN normalised NPX values for Study batch 2. The signals are in log2-scale. All columns not described below contain protein measurements.
- zscore_data_combined.csv: Z-score transformed measurements for both studies. All columns not described below contain protein measurements.
- sample information study batch 1 and 2.csv: Sample information for all of the mice.
- Mouse DBS_NPX_below LOD.xlsx; Raw data from Olink Signature NPX software for Study batch 1. Values are reported as NPX values and are in log2-scale. This file contains values for limit of detection (LOD) per protein.
- Mouse DBS Plate 2_NPX_belowLOD.xlsx: Raw data from Olink Signature NPX software for Study batch 2. Values are reported as NPX values and are in log2-scale. This file contains values for limit of detection (LOD) per protei