6 research outputs found
Pedamines database
No full textThis is the Pedamines database with a readme file (author list, codes and abbreviations
Raw data for "Activation of oligonucleotide polyanions using collisions, electrons and photons in a timsOmni platform"
No full textRaw mass spectral data used to prepare the figures of the article "Activation of oligonucleotide polyanions using collisions, electrons and photons in a timsOmni platform", by Frédéric Rosu,1 Rim Chiba,1 Arjun Mani Mallika,1 Athanasios Smyrnakis,2 Jean-François Greisch,3 Dimitris Papanastasiou,2 Valérie Gabelica1*
1 School of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.
2 Fasmatech Science & Technology, 15232 Chalandri, Athens, Greece.
3 Bruker Switzerland AG, 8117 Fällanden, Switzerland.
* Corresponding author: [email protected]
The data is organized by Table or Figure number as in the manuscript main text and supporting information
PACE REFIT building archetype load curves
No full textDescription: This dataset was generated as part of the PACE REFITS project. Contract number SI/501883-01. This data is a sample dataset. The complete data for all retrofit cases is used in the MANGOret Optimisation Framework.
For more information contact Ivalin Petkov - [email protected]
Publications:
Ivalin Petkov, Georgios Mavromatidis, Christof Knoeri, James Allan, Volker H. Hoffmann
MANGOret: An optimization framework for the long-term investment planning of building multi-energy system and envelope retrofits. 2022
Authors: James Allan, Portia Murray, Ivalin Petkov, Georgios Mavromatidis
Source Data: OpenSteetMap; Gebäude und wohnungsregister, BFS; STATENT, BFS; swissBoundaries3D, SwissTopo)
Contents:
Name:annual_simulation_summary,
Details: Aggregated annual space heating, cooling and electricity demands.
Name:centroid_details,
Details: Details about each centroid/archetype and their percentage assignment to the building stock of Switzerland
Name:regional_boundaries_with_canton_name
Details: An ESRI Shapefile containing the boundaries of the climatic zones used for simulation
Name: profiles
Details: Daily and hourly demand profiles for each centroid/archetype listed in the annual_simulation_summary.
The name convention for each file is based on the fields in the annual simulation summary.
profiles//____ where demand
resolution is either daily or hourly. The rest of the fields are explained in the accompanying field_descriptors.csv.
Institute: UESL, EMPA
Corresponding author: James Alla
TestBeam Data April 2023 CERN PS
No full textData taken at test particle beams at CERN PS in April 2023.
Description of the particle beam type and momentum, and of the detector configuration for each data acuisition run is given in the file LOGBOOK/LogBook PAN 202304 - PAN.csv
Description of the Silicon Tracker Strips VATA setting is given in the file LOGBOOK/LogBook PAN 202304 - VATA settings.csv
DATA taken by the Tracker Strips, Pixels, and TOF are stored in the directories Strips, Pixels, and TOF respectively.
Pixels and Tracker Strips data have been acquired synchronously. The corresponding data are organized in sub-directories named after the date and time at which the data were acquired and corresponding to the list given in LOGBOOK/LogBook PAN 202304 - PAN.csv. Inside each sub-directory the filename indicates the detector board id, data type ( trigger , calibration or beam data) and the settings, the date, and time of acquisition. Inside each file the header lists the variables stored, and for the Pixels it also describes the detector setting (temperatures, voltages, etc.).
The TOF data have been taken asynchronously. The corresponding data are organized in sub-directories named after the date at which the data were acquired. Inside each sub-directory the filename indicates the detector board id, data type ( trigger , calibration or beam data) and the settings, the date, and time of acquisition
Coupling Lattice Instabilities across the Interface in Ultrathin Oxide Heterostructures
No full textOxide heterointerfaces constitute a rich platform for realizing novel functionalities in condensed matter. A key aspect is the strong link between structural and electronic properties, which can be modified by interfacing materials with distinct lattice symmetries. Here, we determine the effect of the cubic-tetragonal distortion of SrTiO3 on the electronic properties of thin films of SrIrO3, a topological crystalline metal hosting a delicate interplay between spin-orbit coupling and electronic correlations. We demonstrate that below the transition temperature at 105 K, SrIrO3 orthorhombic domains couple directly to tetragonal domains in SrTiO3. This forces the in-phase rotational axis to lie in-plane and creates a binary domain structure in the SrIrO3 film. The close proximity to the metal-insulator transition in ultrathin SrIrO3 causes the individual domains to have strongly anisotropic transport properties, driven by a reduction of bandwidth along the in-phase axis. The strong structure-property relationships in perovskites make these compounds particularly suitable for static and dynamic coupling at interfaces, providing a promising route towards realizing novel functionalities in oxide heterostructures.QN/Caviglia LabQN/Steeneken La
Phylogenetic Analyses of Lizards from the Chilean Humboldt Archipelago Reveal a New Species for the Chañaral Island (Squamata: Liolaemidae)
No full textThe Humboldt Archipelago, situated on Chile’s north-central coast, is renowned for its exceptional biodiversity. However, lizards of the Liolaemus genus are a particularly understudied group in this archipelago. Liolaemus genus is divided into two clades: chiliensis and nigromaculatus. Within the nigromaculatus clade the zapallarensis group is restricted to the semi-arid and arid coastal habitats of the Atacama Desert in north-central Chile. While it has been reported that lizards from the zapallarensis group inhabit various islands within the Humboldt Archipelago, there has been limited knowledge regarding their specific species identification. To identify the lizard species inhabiting these islands, we conducted phylogenetic analyses using a mitochondrial gene and examined morphological characteristics. Our findings reveal that lizards from the Damas, Choros, and Gaviota islands belong to Liolaemus silvai. In contrast, the lizards on Chañaral Island form a distinct and previously unrecognised group, clearly distinguishable from Liolaemus silvai. In conclusion, our study not only confirms the presence of L. silvai on the Damas, Choros, and Gaviota islands but also describes a new lizard species on Chañaral Island named Liolaemus carezzae sp. nov. These findings contribute valuable insights into the biodiversity of these islands and introduce a newly discovered endemic taxon to the region, enriching our understanding of Chile’s unique island ecosystems
