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Pooled optical screening in bacteria using chromosomally expressed barcodes
No full textThis data set contains code and data needed to generate the figures and tables presented in "Pooled optical screening in bacteria using chromosomally expressed barcodes". See link to the publication in Related Material.
Optical pooled screening is an important tool to study dynamic phenotypes for libraries of genetically engineered cells. However, the desired engineering often requires that the barcodes used for in situ genotyping are expressed from the chromosome. This has not previously been achieved in bacteria. Here we describe a method for in situ genotyping of libraries with genomic barcodes in Escherichia coli. The method is applied to measure the intracellular maturation time of 84 red fluorescent proteins.
All microscopy images and the corresponding image analysis code and outputs are found on the BioImage Archive. See link in Related Material
Kubord 2: Ordrelationer Göteborgsposten 2024
No full textKubord 2 is an updated version of Kubord and contains both token frequencies and word relations from modern newspaper texts from the The National Library of Sweden.Kubord 2 är en uppdaterad version av Kubord och innehåller utöver ordfrekvenser även ordrelationer från moderna tidningstexter från Kungliga biblioteket
Meteorological data from Skogaryd Central, Mast-1
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 Skogaryd Central, Mast-1, 2015-01-01–2015-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/-dpmezLm2TivWvd5M2J3rrh
Meteorological data from Skogaryd Central, Mast-1
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 Skogaryd Central, Mast-1, 2024-01-01–2024-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/yu3lfa2fhCtNTH3Wr6Cyj1l
Kubord 2: Ordrelationer Expressen 2023
No full textKubord 2 is an updated version of Kubord and contains both token frequencies and word relations from modern newspaper texts from the The National Library of Sweden.Kubord 2 är en uppdaterad version av Kubord och innehåller utöver ordfrekvenser även ordrelationer från moderna tidningstexter från Kungliga biblioteket
Supplementary Fig. 2d | FUS localization in genome-edited iPSC lines
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 forthcoming 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:]
FUS localization in genome-edited iPSC lines
These files are immunofluorescent stainings of FUS localization in genome-edited iPSC-lines
The microscopy file format is ND2 which can be opened with the free standalone program the NIS-Elements Viewer (Nikon). More information about the software and file format can be found here: https://www.microscope.healthcare.nikon.com/products/software/nis-elements/software-resource
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, 2021 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/SvnNOH0_nKp-EZOo-YTRCwg
Physical variables - lake temperature profile from Erssjön, Floating platform
No full textHigh frequency temperature profiles are measured in lakes of SITES Water to be able to determine the thermal structure.
Skogaryd Research Catchment (2025). Physical variables - lake temperature profile from Erssjön, Floating platform, 2022-01-01–2022-12-31 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/t4tN5vQ1saTWgtcr9SMkEzp
Meteorological data from Skogaryd Central, Mast-1
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 Skogaryd Central, Mast-1, 2023 [Data set]. Swedish Infrastructure for Ecosystem Science (SITES). https://hdl.handle.net/11676.1/v5xYN6W5Q9SwXDwcESewgEw
SCANIA Component X Dataset: A Real-World Multivariate Time Series Dataset for Predictive Maintenance
No full textThis data is a real-world, multivariate time series dataset collected from an anonymized engine
component (called Component X) of a fleet of trucks from SCANIA, Sweden. This dataset includes diverse variables capturing detailed operational data, repair records, and specifications of trucks while maintaining confidentiality by anonymization. It is well-suited for a range of machine learning applications, such as classification, regression, survival analysis, and anomaly detection, particularly when applied to predictive maintenance scenarios. The large population size and variety of features in the format of histograms and numerical counters, along with the inclusion of temporal information, make this real-world dataset unique in the field. The objective of releasing this dataset is to give a broad range of researchers the possibility of working with real-world data from a well-known international company and introduce a standard benchmark to the predictive maintenance field, fostering reproducible research.Datasetet innehåller data från en multivariat tidsserie-studie av en avidentifierad motorkomponent (Component X) i olika lastbilar från Scania AB. Se den engelskspråkiga katalogposten för utförlig information