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445 results for “NS”
Karten und Netzwerkabbildungen zum Datensatz "Digital erschlossene NS-Arbeitsbücher aus der "Waldwerke GmbH Passau""
<p>Das Repositorium enthält Karten und Netzwerkvisualisierungen zum Datensatz "Digital erschlossene NS-Arbeitsbücher (Laufzeit: 1935–1945) aus der „Waldwerke GmbH Passau“ (1942–1945)" (DOI: 10.5281/zenodo.7573559).</p> <p>Die Karten stellen in verschiedener Zusammensetzung die Geburts- und Beschäftigungsorte der Inhaberinnen und Inhaber der Arbeitsbücher dar. Sie wurden mithilfe von <a href="https://qgis.org/">QGIS</a> erstellt.</p> <p>Die Netzwerkvisualisierungen zeigen die Beziehungen zwischen beschäftigenden Betrieben und dort beschäftigten Arbeiterinnen bzw. Arbeitern. Eine Kante zeigt dabei an, dass eine Person mindestens einmal im verknüpften Betrieb beschäftigt war. Sie wurden mithilfe von <a href="https://gephi.org/">Gephi</a> erstellt.</p> <p>Die Abbildungen sind Farbvarianten der in folgendem Aufsatz erstmals publizierten Abbildungen:</p> <p><em>Alina Ostrowski, Jorit Hopp, Benjamin Seebröker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig</em> und <em>Malte Rehbein</em>: Arbeitsmigration in der süddeutschen NS-Kriegswirtschaft. Computergestützte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550–570.</p> <p>Dort findet sich auch Genaueres zur Auswahl der Daten und Erstellung der Abbildungen sowie zur historischen Einordnung der Visualisierungen.</p>
Two 100 ns NVT molecular dynamics simulations of dsDNA and dsRNA "GGGG" 18-mers (GCGGGGGGGGGGGGGGGC)
<p>Supporting information for "Molecular origin of distinct hydration dynamics in double helical DNA and RNA sequences" by E. Frezza, D. Laage and E. Duboué-Dijon, <span><em>J. Phys. Chem. Lett.</em></span> <span>2024</span><span>, 15</span><span>, </span><span>4351–4358</span><br>Two 100 ns-long NVT molecular dynamics simulation: one of dsDNA "GGGG" 18-mer (GCGGGGGGGGGGGGGGGC) and one of the analogous dsRNA. The nucleic acid is explicitly solvated in water and neutralized with 0.15M KCl. Simulations were performed using the Gromacs 5 software. DNA is described with the Amber 99SB-ILDN force field with the BSC0 modifications, RNA is described with the Amber 99SB-ILDN force field with the BSC0 and χOL3 modifications, the SPC/E force field is used for water, and the Joung Cheatham paraeters for ions. The shared coordinates are saved every 500fs, twice less frequently than the original trajectories used for the publication, to reduce the size of the shared dataset below the allowed size limit.</p>
Supplemental material of the Streptococcus pyogenes whole genome MLST schema deposited in Chewie-NS
<p>This supplemental material includes the lists of accession numbers for the Blackwell et al. and NCBI RefSeq assemblies used to populate the whole genome MLST schema for <em>Streptococcus pyogenes</em>, the UniProt identifiers of the reference proteomes used for schema annotation and the set of complete genomes, and associated metadata, used for schema creation.</p> <p>The wgMLST schema was created with <a href="https://github.com/B-UMMI/chewBBACA">chewBBACA</a> and is publicly available at <a href="https://chewbbaca.online/species/1/schemas/1">chewie-NS</a>, where a more detailed description of schema creation, annotation and curation can be found.</p>
SIMBED - Offline Real-World Wireless Networking Experimentation using ns-3
<p>R&D in wireless networking typically depends on experimentation to make realistic evaluations, since simulation is inherently a simplification of the real-world. However, experimentation is limited in aspects where simulation excels, such as repeatability and reproducibility.</p> <p>Real wireless experiments are hardly repeatable. Given the same input they can produce very different output results, since wireless communications are influenced by external random phenomena such as noise, interference, and multipath. Real experiments are also difficult to reproduce: either the original community testbed is unavailable – offline or running other experiments – or the custom testbed used is inaccessible.</p> <p>Fed4FIRE+ wireless testbeds such as w-iLab.t and NITOS, although deployed in controlled environments, do not fully address the problem. The CONCRETE tool used in such testbeds assures the repeatability and reproducibility of experiments, but ignores executions whose results are also representative of the system operation and often reveal unpredicted behaviour that must be understood.</p> <p>What if we could make any wireless experiment repeatable and reproducible under the same exact conditions? What if we could share the same Fed4FIRE+ testbed execution conditions among an "infinite" number of users? What if we could run wireless experiments faster than in real time?</p> <p>INESC TEC has been developing the Offline Experimentation (OE) approach that combines the best of simulation and experimentation to achieve the above-mentioned goals. By relying on Network Simulator 3 (ns-3) and its good simulation capabilities from the MAC to the application layer, we have been exploring how ns-3 can be used to replicate real-world wireless experiments using real traces containing 1) position of nodes and 2) the quality of each radio link.</p> <p>The <strong>SIMBED </strong>project aimed at running a set of wireless experiments on top of the controlled environments of w-ilab.t and NITOS Fed4FIRE+ testbeds to further validate the OE approach. For that purpose, we configured different fixed and mobile experimental scenarios, representative of Wi-Fi range of operation, and measured the attained network performance using metrics such as throughput and Round-Trip Time (RTT). Then, we repeated each experiment using, both, Pure Simulation (PS) and OE approaches based on ns-3, also measuring the network performance for the same set of executions of experiments for all the different scenarios.</p> <p>By comparing the performance metrics of each real experiment with its PS and OE counterparts, we were able to measure the relative error of each simulation approach relatively to the real experiments, as well as the accuracy gains introduced by the OE approach when compared to the PS traditional alternative. The main results show that it is possible to repeat and reproduce real experiments in ns-3, using the OE approach, achieving closer to real performance than using the PS approach. For all the experiments performed in SIMBED, using the OE approach resulted in an average accuracy gain of 59% when comparing to the PS approach. </p> <p>These results were important for validating a PhD thesis contribution related to the OE approach, as well as for producing two conference papers and one journal paper. The SIMBED results increased our confidence on the accuracy of the OE approach and are envisioned to foster the adoption of the OE approach by the networking community, in complement to the use of real experimentation.</p> <p> </p> <p>The following dataset presents the results of the SIMBED project, organized in different folders, for each subset of experiments carried on:</p> <ul> <li><strong><em>SubExp#1: </em></strong><em>Static point-to-point Wi-Fi communications using auto-rate (Minstrel) </em> <ul> <li><strong><em>SubExp#1.1:</em></strong><em> Using w-iLab.2 (medium to high SNR scenarios)</em></li> <li><strong><em>SubExp#1.2:</em></strong><em> Using w-iLab.2 (low SNR scenarios)</em></li> <li><strong><em>SubExp#1.3:</em></strong><em> Using NITOS</em></li> <li><strong><em>SubExp#1.4:</em></strong><em> Using w-iLab.1 (datacenter room)</em></li> </ul> </li> <li><strong><em>SubExp#2: </em></strong><em>Static point-to-point Wi-Fi communications using fixed</em> rate</li> <li><strong><em>SubExp#3: </em></strong><em>Mobile point-to-point Wi-Fi communications using auto-rate (Minstrel)</em></li> <li><strong><em>SubExp#4: </em></strong><em>Static multiple access Wi-Fi communications using auto-rate (Minstrel) </em> <ul> <li><strong><em>SubExp#4.1:</em></strong><em> Using w-iLab.2 (bidirectional) (medium to high SNR scenarios)</em></li> <li><strong><em>SubExp#4.2:</em></strong><em> Using w-iLab.2 (bidirectional) (low SNR scenarios)</em></li> <li><strong><em>SubExp#4.3:</em></strong><em> Using NITOS (bidirectional)</em></li> <li><strong><em>SubExp#4.4:</em></strong><em> Using w-iLab.1 (bidirectional)</em></li> <li><strong><em>SubExp#4.5:</em></strong><em> Using NITOS (2 STAs)</em></li> <li><strong><em>SubExp#4.6:</em></strong><em> Using w-iLab.2 (2 STAs)</em></li> </ul> </li> <li><strong><em>SubExpExample</em></strong>: contains raw experimental logs, parsed data and simulation results, to show how data extracted from the nodes is processed to be compatible with the OE approach and comparable with OE and PS simulation results.</li> </ul> <p>Each experiment has an individual folder, named according to the date and time of the experiment and the nodes used. Inside, there’s a folder for the <strong>parsed</strong> experimental results, which contains</p> <p>This folder contains the details and parsed logs of the experiment, as follows:</p> <ul> <li><em>date_time</em><strong>.cfg </strong>– configuration details of the experiment</li> <li><em>date_time_NodeID<sup><a href="#_ftn1"><strong>[1]</strong></a></sup>_SenderID<sup><a href="#_ftn2"><strong>[2]</strong></a></sup>_ReceiverID<sup><a href="#_ftn3"><strong>[3]</strong></a></sup>_FlowType<sup><a href="#_ftn4"><strong>[4]</strong></a></sup>_Params<sup><a href="#_ftn5"><strong>[5]</strong></a></sup></em><strong>.snr </strong>– logs of the Signal/Noise ratio (1 file per node/flow) </li> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em><strong>.stats</strong> – logs of the packets received (1 file per node/flow) </li> <li><em>NodeID</em><strong>.</strong><strong>waypoints</strong> – coordinates of the static nodes</li> <li><em>date_time_MobileNodeID</em><strong>.</strong><strong>waypoints</strong> – waypoints of the mobile nodes (when applicable)</li> </ul> <p>The experiment’s folder also contains a folder for the simulations <strong>output</strong> with the simulations statistics files, for the multiple simulations approaches considered, as follows:</p> <ul> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em>.<strong>simstats </strong>– logs of the packets received (simulation)</li> </ul> <p> </p> <p><sub><a href="#_ftnref1">[1]</a> ID of the node Logging node</sub></p> <p><sub><a href="#_ftnref2">[2]</a> ID of the Sender node</sub></p> <p><sub><a href="#_ftnref3">[3]</a> ID of the Receiver node</sub></p> <p><sub><a href="#_ftnref4">[4]</a> Flow type: Unidirectional, Bidirectional or Unidirectional with Multiple Access</sub></p> <p><sub><a href="#_ftnref5">[5]</a> Configurable parameters: Sender/Receiver Transmission Power and Data Rate (when applicable)</sub></p>
Fig.ç2.C olor variations of caudal ns of Upeneus guttatus from Kagoshima, Japan. A, KAUM–I. 7819, 57.8 mm SL; B, KAUM–I. 11885, 80.5 mm SL; C, KAUM–I. 24423, 84.3 mm SL; D, KAUM–I. 13067, 119.2 mm SL. in First Records of the Two-tone Goatfish, Upeneus guttatus, from Japan, and Comparisons with U. japonicus (Perciformes: Mullidae)
Fig.ç2.C olor variations of caudal ns of Upeneus guttatus from Kagoshima, Japan. A, KAUM–I. 7819, 57.8 mm SL; B, KAUM–I. 11885, 80.5 mm SL; C, KAUM–I. 24423, 84.3 mm SL; D, KAUM–I. 13067, 119.2 mm SL.
DPPC bilayer after 100 ns
<p>Equilibrated system of 128 DPPC lipids and 3655 water molecules after 100 ns.</p> <p><strong>Details:</strong> Berger united atom lipids (needs lipid.itp and dppc.itp from Peter Tieleman's web site at <a href="http://moose.bio.ucalgary.ca/">http://moose.bio.ucalgary.ca/</a>). Area per lipid: 0.645 (+/- 0.010) nm<sup>2</sup>.</p> <p>Also available at: <a href="http://www.softsimu.net/downloads.shtml">http://www.softsimu.net/downloads.shtml</a></p> <p><strong>References:</strong></p> <ol> <li><a href="http://dx.doi.org/10.1016/S0006-3495(03)75094-2">Major artifacts due to truncating electrostatic interactions</a>, Michael Patra, Mikko Karttunen, Marja T. Hyvönen, Emma Falck, Peter Lindqvist, and Ilpo Vattulainen, Biophys. J. 84, 3636-3645 (2003)</li> <li><a href="http://dx.doi.org/10.1021/jp031281a">Lipid bilayers driven to a wrong lane in molecular dynamics simulations by truncation of long-range electrostatic interactions</a>, Michael Patra, Mikko Karttunen, Marja T. Hyvönen, Emma Falck, and Ilpo Vattulainen, J. Phys. Chem. B 108, 4485-4494 (2004).</li> </ol>
Linked collectors and determiners for: Foreign Asia herbarium collection in CSBG (NS).
Natural history specimen data linked to collectors and determiners held within, "Foreign Asia herbarium collection in CSBG (NS)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/45d532d3-ced7-4856-8590-705bc8b244a1">https://bionomia.net/dataset/45d532d3-ced7-4856-8590-705bc8b244a1</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/45d532d3-ced7-4856-8590-705bc8b244a1">https://gbif.org/dataset/45d532d3-ced7-4856-8590-705bc8b244a1</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Family Geraniaceae in CSBG SB RAS herbarium collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Family Geraniaceae in CSBG SB RAS herbarium collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/c65575cf-862f-448b-bef2-fc158fb2e225">https://bionomia.net/dataset/c65575cf-862f-448b-bef2-fc158fb2e225</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/c65575cf-862f-448b-bef2-fc158fb2e225">https://gbif.org/dataset/c65575cf-862f-448b-bef2-fc158fb2e225</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Central Siberian Botanical Garden Herbarium (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Central Siberian Botanical Garden Herbarium (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e4fd8292-95cb-4f49-a639-e59c89e82045">https://bionomia.net/dataset/e4fd8292-95cb-4f49-a639-e59c89e82045</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e4fd8292-95cb-4f49-a639-e59c89e82045">https://gbif.org/dataset/e4fd8292-95cb-4f49-a639-e59c89e82045</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Family Primulaceae in Digital Herbaria of CSBG SB RAS (NS).
Natural history specimen data linked to collectors and determiners held within, "Family Primulaceae in Digital Herbaria of CSBG SB RAS (NS)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f8b3dfc3-e0d9-4173-a63b-436aedce0469">https://bionomia.net/dataset/f8b3dfc3-e0d9-4173-a63b-436aedce0469</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f8b3dfc3-e0d9-4173-a63b-436aedce0469">https://gbif.org/dataset/f8b3dfc3-e0d9-4173-a63b-436aedce0469</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Genus Allium in CSBG SB RAS herbarium collections (NS,NSK).
Natural history specimen data linked to collectors and determiners held within, "Genus Allium in CSBG SB RAS herbarium collections (NS,NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/dc383f1f-6456-40bd-9ef1-0780cdb0c66d">https://bionomia.net/dataset/dc383f1f-6456-40bd-9ef1-0780cdb0c66d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/dc383f1f-6456-40bd-9ef1-0780cdb0c66d">https://gbif.org/dataset/dc383f1f-6456-40bd-9ef1-0780cdb0c66d</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Genus Rhododendron in Digital herbarium of CSBG SB RAS (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Genus Rhododendron in Digital herbarium of CSBG SB RAS (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a85dfdfc-345c-4b02-ba1e-140ca992b662">https://bionomia.net/dataset/a85dfdfc-345c-4b02-ba1e-140ca992b662</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a85dfdfc-345c-4b02-ba1e-140ca992b662">https://gbif.org/dataset/a85dfdfc-345c-4b02-ba1e-140ca992b662</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Genus Medicago (Fabaceae) in CSBG Herbarium collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Genus Medicago (Fabaceae) in CSBG Herbarium collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/31bb628c-cc7f-423c-914e-746271fb5694">https://bionomia.net/dataset/31bb628c-cc7f-423c-914e-746271fb5694</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/31bb628c-cc7f-423c-914e-746271fb5694">https://gbif.org/dataset/31bb628c-cc7f-423c-914e-746271fb5694</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Genus Galium L. at the CSBG SB RAS collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Genus Galium L. at the CSBG SB RAS collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e17d2584-dbc9-4a47-8743-a4e3a379fb33">https://bionomia.net/dataset/e17d2584-dbc9-4a47-8743-a4e3a379fb33</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e17d2584-dbc9-4a47-8743-a4e3a379fb33">https://gbif.org/dataset/e17d2584-dbc9-4a47-8743-a4e3a379fb33</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Ferns at the Central Siberian Botanical Garden herbarium collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Ferns at the Central Siberian Botanical Garden herbarium collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/77973bd8-e146-463e-9452-05debd36c12a">https://bionomia.net/dataset/77973bd8-e146-463e-9452-05debd36c12a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/77973bd8-e146-463e-9452-05debd36c12a">https://gbif.org/dataset/77973bd8-e146-463e-9452-05debd36c12a</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Ophioglossaceae at the Central Siberian Botanical Garden herbarium collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Ophioglossaceae at the Central Siberian Botanical Garden herbarium collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/44c0ab40-55bd-4535-97c2-1810c505964c">https://bionomia.net/dataset/44c0ab40-55bd-4535-97c2-1810c505964c</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/44c0ab40-55bd-4535-97c2-1810c505964c">https://gbif.org/dataset/44c0ab40-55bd-4535-97c2-1810c505964c</a>. Formatted as a Frictionless Data package.
The 400 ns molecular dynamic (MD) trajectories for the wild type and mutant forms of the S. tuberosum eIF4E1 and eIF4E2
<p>Truncated from the N termini models of the wild type and mutant forms of the S. tuberosum eIF4E1 and eIF4E2. <br> The molecular dynamic (MD) trajectories with 400-ns length for each wild type and mutant forms of the eIF4E in the water environment according to the standard MD procedure.</p>
10 ns Molecular Dynamics simulations of mAMCase at pH 2.0 and 6.5 in complex with GlcNAc6.
<p>This directory contains all files required to analyze the 10 ns MD simulations of mouse AMCase at pH 2.0 and 6.5 presented in <strong>Figure 5</strong> in the manuscript <a href="https://www.biorxiv.org/content/10.1101/2023.06.03.542675">Díaz et al.<em> </em>(2023)</a>.</p> <p>All simulations were performed using Molecular Operating Environment (Chemical Computing Group) and simulation data was analyzed using Graphpad Prism. Structure models were analyzed using PyMOL. Figures were compiled using Adobe Illustrator.</p> <p> </p> <p>Files included in this directory:</p> <p><strong>Figures</strong></p> <p>- contains PDFs of Asp138 X1 angle distribution, Asp138 X1 angle timecourse, PNGs of representative structure models from pH 2.0 <em>active</em> conformation simulation and pH 6.5 <em>inactive</em> conformation simulation with and without distances labeled.</p> <p><strong>MOE</strong></p> <p>- README.txt defines what each variable in "<strong>Production_phX_Conformation.xlsx</strong>" represents</p> <p><strong>/MOE/pHX_Conformation</strong></p> <p>- contains the starting structure for each simulation, a video of the 10 ns simulation, different variables measured during the simulation as an Excel (.xlsx) and Moe databasse (.mdb) files.</p> <p><strong>PyMOL</strong></p> <p>- contains all structure models, 2mFo-DFc maps, mFo-DFc maps, PyMOL script, and PyMOL session used to generate <strong>Figure 5</strong>.</p> <p> </p> <p><strong>MD.pzfx</strong></p> <p>- contains raw data from 10 ns simulations at pH 2.0 and pH 6.5 with Asp138 starting conformation in the <em>active </em>or <em>inactive </em>conformation.</p> <p> </p> <p>Contact:<br> Roberto Efraín Díaz, robertoefrain.diaz@ucsf.edu</p> <p>James Fraser, jfraser@fraserlab.com</p>
Datensatz: Digital erschlossene NS-Arbeitsbücher (Laufzeit: 1935-1945) aus der "Waldwerke Passau GmbH" (1942-1945)
<p>Relationaler Datensatz mit strukturiert erfassten Daten (Personen, Beschäftigungen, Betriebe, Orte) aus 196 Arbeitsbüchern aus der Zeit des deutschen Nationalsozialismus. Die Arbeitsbücher (Ausstellungsdatum: 1935-1945) sind im Stadtarchiv Passau überliefert und gehörten Arbeiterinnen und Arbeitern, die am Ende des Zweiten Weltkrieges im Rüstungsbetrieb „Waldwerke GmbH Passau“ beschäftigt waren. Die Daten aus diesen seriellen Quellen ermöglichen die Untersuchung zahlreicher geschichtswissenschaftlicher Fragestellungen u.a. zu den Themen: Individuelle berufliche Laufbahnen, Branchen- und Beschäftigungsarten, berufliche Bildung, Arbeitsmobilität sowie Arbeitslenkung und Arbeitspolitik im Nationalsozialismus.</p> <p>Zur Entstehung des Datensatzes, zur Datenerfassung sowie zur Datenstruktur siehe die ausführliche Dokumentation, die dem Datensatz beigegeben ist ("Dokumentation.pdf"). Der Datensatz ergänzt den folgenden Aufsatz, der eine wissenschaftliche Auswertung der Daten in Bezug auf Betriebsnetzwerke, Arbeitspolitik und Arbeitsmobilität im Dritten Reich vorstellt:</p> <p><em>Alina Ostrowski, Jorit Hopp, Benjamin Seebröker, Lukas Bartl, Markus Gerstmeier, Heiko Brendel, Simon Donig</em> und <em>Malte Rehbein</em>: Arbeitsmigration in der süddeutschen NS-Kriegswirtschaft. Computergestützte Datenexploration mittels historischer Geoinformation und Netzwerkanalyse, in: Geschichte in Wissenschaft und Unterricht 74 H. 9/10 (2023), S. 550–570.</p>
Self Lensing simulations of WD-NS and WD-BH pairs
<p>These are netCDF files, created using python/xarray. They contain the simulation results gotten from running the self_lens package (https://github.com/guynir42/self_lens) with a few surveys (ZTF, TESS, LSST, DECAM, CURIOS, CURIOS_ARRAY, LAST) over simulated binaries containing a white dwarf (WD) and either a Neutron Star (NS) or a Black Hole (BH). The two companion types are equivalent for these simulations, except that black holes are more massive than neutron stars. </p> <p>Each file contains the results for the number of detections and effective volume for one survey, over a large parameter space of WD-NS or WD-BH binaries. For each binary we simulate the self-lensing flare and estimate the ability of a survey to observe that flare, at different distances of the system from Earth. </p> <p>These datasets are needed to make the plots for an upcoming paper (Nir & Bloom, in prep). In the self_lens package, run the test_produce_plots.py to pull down these files to a local folder and use them to make plots. </p> <p>An accompanying dataset includes the same files for WD-WD binaries. </p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.