Greenland and Canadian Arctic ice temperature profiles database

Here, we present a compilation of 95 ice temperature profiles from 85 boreholes from the Greenland ice sheet and peripheral ice caps, as well as local ice caps in the Canadian Arctic. Profiles from only 31 boreholes (36 %) were previously available in open-access data repositories. The remaining 54 borehole profiles (64 %) are being made digitally available here for the first time. These newly available profiles, which are associated with pre-2010 boreholes, have been submitted by community members or digitized from published graphics and/or data tables. All 95 profiles are now made available in both absolute (meters) and normalized (0 to 1 ice thickness) depth scales and are accompanied by extensive metadata. These metadata include a transparent description of data provenance. The ice temperature profiles span 70 years, with the earliest profile being from 1950 at Camp VI, West Greenland. To highlight the value of this database in evaluating ice flow simulations, we compare the ice temperature profiles from the Greenland ice sheet with an ice flow simulation by the Parallel Ice Sheet Model (PISM). We find a cold bias in modeled near-surface ice temperatures within the ablation area, a warm bias in modeled basal ice temperatures at inland cold-bedded sites, and an apparent underestimation of deformational heating in high-strain settings. These biases provide process level insight on simulated ice temperatures

Astrocytes integrate and drive action potential firing in inhibitory subnetworks

Many brain functions depend on the ability of neural networks to temporally integrate transient inputs to produce sustained discharges. This can occur through cell-autonomous mechanisms in individual neurons and through reverberating activity in recurrently connected neural networks. We report a third mechanism involving temporal integration of neural activity by a network of astrocytes. Previously, we showed that some types of interneurons can generate long-lasting trains of action potentials (barrage firing) following repeated depolarizing stimuli. Here we show that calcium signaling in an astrocytic network correlates with barrage firing; that active depolarization of astrocyte networks by chemical or optogenetic stimulation enhances; and that chelating internal calcium, inhibiting release from internal stores, or inhibiting GABA transporters or metabotropic glutamate receptors inhibits barrage firing. Thus, networks of astrocytes influence the spatiotemporal dynamics of neural networks by directly integrating neural activity and driving barrages of action potentials in some populations of inhibitory interneurons

Re-Identifizierung in Gerichtsurteilen mit Simap Daten

<p>Die digitale Transformation erreicht nach und nach immer mehr Bereiche der Justiz. Bereits heute veröffentlichen viele Gerichte ihre Urteile in anonymisierter Form im Internet. Gleichzeitig werden technische Hilfsmittel, die auch zur Re-Identifikation dieser Urteile eingesetzt werden können, immer leistungsfähiger und ausgeklügelter. In der vorliegenden Untersuchung wurde im Bereich des öffentlichen Beschaffungswesens – durch ein vergleichsweise einfaches «String-Matching» mit Simap Projektnummern – eine Re- Identifikation von Verfahrensbeteiligten von bis zu 81.2 Prozent erreicht.</p&gt

Re-Identifizierung in Gerichtsurteilen mit Simap Daten

<p>Die digitale Transformation erreicht nach und nach immer mehr Bereiche der Justiz. Bereits heute veröffentlichen viele Gerichte ihre Urteile in anonymisierter Form im Internet. Gleichzeitig werden technische Hilfsmittel, die auch zur Re-Identifikation dieser Urteile eingesetzt werden können, immer leistungsfähiger und ausgeklügelter. In der vorliegenden Untersuchung wurde im Bereich des öffentlichen Beschaffungswesens – durch ein vergleichsweise einfaches «String-Matching» mit Simap Projektnummern – eine Re- Identifikation von Verfahrensbeteiligten von bis zu 81.2 Prozent erreicht.</p&gt

Re-Identifizierung in Gerichtsurteilen mit Simap Daten

<p>Die digitale Transformation erreicht nach und nach immer mehr Bereiche der Justiz. Bereits heute veröffentlichen viele Gerichte ihre Urteile in anonymisierter Form im Internet. Gleichzeitig werden technische Hilfsmittel, die auch zur Re-Identifikation dieser Urteile eingesetzt werden können, immer leistungsfähiger und ausgeklügelter. In der vorliegenden Untersuchung wurde im Bereich des öffentlichen Beschaffungswesens – durch ein vergleichsweise einfaches «String-Matching» mit Simap Projektnummern – eine Re- Identifikation von Verfahrensbeteiligten von bis zu 81.2 Prozent erreicht.</p&gt

TissueMAPS/TmServer: 0.3.3

Improvements Possible to know which server process generated a given log line since they are many Changed log level of message to debug No longer expose functionality to register use

Large-scale image-based profiling of single-cell phenotypes in arrayed CRISPR-Cas9 gene perturbation screens

High-content imaging using automated microscopy and computer vision allows multivariate profiling of single-cell phenotypes. Here, we present methods for the application of the CISPR-Cas9 system in large-scale, image-based, gene perturbation experiments. We show that CRISPR-Cas9-mediated gene perturbation can be achieved in human tissue culture cells in a timeframe that is compatible with image-based phenotyping. We developed a pipeline to construct a large-scale arrayed library of 2,281 sequence-verified CRISPR-Cas9 targeting plasmids and profiled this library for genes affecting cellular morphology and the subcellular localization of components of the nuclear pore complex (NPC). We conceived a machine-learning method that harnesses genetic heterogeneity to score gene perturbations and identify phenotypically perturbed cells for in-depth characterization of gene perturbation effects. This approach enables genome-scale image-based multivariate gene perturbation profiling using CRISPR-Cas9

Large-scale image-based profiling of single-cell phenotypes in arrayed CRISPR-Cas9 gene perturbation screens

High‐content imaging using automated microscopy and computer vision allows multivariate profiling of single‐cell phenotypes. Here, we present methods for the application of the CISPR‐Cas9 system in large‐scale, image‐based, gene perturbation experiments. We show that CRISPR‐Cas9‐mediated gene perturbation can be achieved in human tissue culture cells in a timeframe that is compatible with image‐based phenotyping. We developed a pipeline to construct a large‐scale arrayed library of 2,281 sequence‐verified CRISPR‐Cas9 targeting plasmids and profiled this library for genes affecting cellular morphology and the subcellular localization of components of the nuclear pore complex (NPC). We conceived a machine‐learning method that harnesses genetic heterogeneity to score gene perturbations and identify phenotypically perturbed cells for in‐depth characterization of gene perturbation effects. This approach enables genome‐scale image‐based multivariate gene perturbation profiling using CRISPR‐Cas9.ISSN:1744-429

TissueMAPS/TmLibrary: 0.3.3

Improvements MD images can now be uploaded and processed with TM Boost of performance in case many features are selected. Reduced size of test sets Bug fixes Added default channel value to 1. This is general, not only for MD images but valid for all microscope type