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2,348 results for “germany”
Fig. 6 in Lower Jurassic cockroaches (Insecta: Blattaria) from Germany and England
Fig. 6. Rhipidoblattina geikiei (Scudder, 1886), holotype, details of forewing venation.
Fig. 3. Isolated type A coprolites viewed using transmitted-light microscopy. Scale bars 100 in The ecological role of immature phantom midges (Diptera: Chaoboridae) in the Eocene Lake Messel, Germany
Fig. 3. Isolated type A coprolites viewed using transmitted-light microscopy. Scale bars 100 µm.
Widespread flood severity index time series for Germany
<p>The dataset provides time series from 1951 to 2013 of monthly flood severity index and mean monthly precipitation derived for Germany (DE) and its three hydroclimatic regions (NW: North-Western region; NE: North-Eastern region; South: Southern region). The dataset also provides most frequent event type recorded in Germany for each months. </p> <p>The dataset was used to train and test a dilated Convolutional Neural Network for forecasting monthly flood severity in Germany (Tarasova et al., submitted to Earth's Future). </p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Germany
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Federal Institute for Risk Assessment</p>
Data set from a representative survey on artificial intelligence in Germany
<p>Data on the perception of medical artificial intelligence in Germany is currently lacking. Two online surveys were launched in Germany in 2021 to assess the knowledge and perception of artificial intelligence in general and in medicine, including the management of data in medicine. A total of 1,001 and 1,000 adults participated in the surveys. The data collected and the questionnaires will be published.</p>
Compiled dataset related to "Natural gas savings in Germany during the 2022 energy crisis"
<p>This dataset has been generated and used for the publication:</p> <blockquote> <p>Ruhnau, O., Stiewe, C., Muessel, J., Hirth, L., 2023. Natural gas savings in Germany during the 2022 energy crisis. Nature Energy. DOI: <a href="https://doi.org/10.1038/s41560-023-01260-5">10.1038/s41560-023-01260-5</a></p> </blockquote> <p>The corresponding code is published on <a href="https://github.com/oruhnau/gas_savings">GitHub</a>.</p> <p>The dataset includes:</p> <ol> <li>Compiled data in a daily resolution</li> <li>Compiled data in a monthly resolution</li> </ol>
FIG. 2 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 2. — Stratigraphic column of the section.
WRF model configuration and data used for the NHESS manuscript "Heat wave characteristics: evaluation of regional climate model performances for Germany"
<p>The file contains:</p> <ul> <li>the namelist.input document with the description of the WRF model configuration used in Warscher et al. (2019)</li> <li>WRF simulation outputs from the reanalysis run: daily values of maximum temperature for the time period 1980-2009 from the innermost (5 km grid resolution) and second innermost (15 km) domain; from both domains the same section, relevant for the study, was taken; the data was bilineraily interpolated to 12.5 km horizontal grid resolution to match the EUR-11 CORDEX format</li> </ul>
Supplementary Material to the Publication: Clonal relation between Salmonella enterica subspecies enterica serovar Dublin strains of bovine and food origin in Germany
<p>OHEJP Project: BeOne</p> <p><em>Salmonella enterica </em>serovar Dublin (<em>S</em>. Dublin) is a host-adapted serovar that causes enteritis and/or systemic diseases in cattle. Because the serovar is not host-specific, it can infect other species, including human beings, causing severe disease and a higher mortality rate than other non-typhoidal serovars. Given that human illnesses are primarily caused by contaminated milk, milk products, and beef, data on the genetic connection between <em>S</em>. Dublin strains from livestock and food should be analyzed. </p> <p>Whole genome sequencing (WGS) was performed on 144 <em>S</em>. Dublin strains from cattle and 30 strains from food. Multilocus sequence typing (MLST) found that the majority of livestock and food isolates were of the sequence type ST-10. As discovered by core-genome Single-Nucleotide Polymorphisms Typing and core-genome MLST, 14 of 30 strains from food origin were clonally related to at least one strain from cattle. Without outliers, the remaining 16 food-borne strains fit into the genomic structure of <em>S</em>. Dublin in Germany. WGS demonstrated to be an effective method not only for learning about the epidemiology of Salmonella strains, but also for detecting clonal relationships between organisms isolated at different stages of production. This study discovered a strong genetic link between <em>S</em>. Dublin strains from cattle and food, and thus the potential to cause human infections. <em>S</em>. Dublin strains from both origins have a nearly comparable collection of virulence factors, emphasizing their ability to produce severe clinical symptoms in animals as well as humans, emphasizing the importance of effective <em>S</em>. Dublin management in a farm to fork strategy.</p>
Prunus avium, agroforestry trees, South-Western Germany
<p>The data describe 70 <em>Prunus avium</em> trees in agroforestry systems in South-Western Germany. The parameters were estimated using a combination of terrestrial laser scanning (TLS) and quantitative structure models (QSMs). To reconstruct the QSMs, the TreeQSM software was used (https://github.com/InverseTampere/TreeQSM). The given values are the mean values of the respective variables over 30 QSMs per tree.</p>
Data set supplementing "Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study"
<p>This is the data set used to conduct the analyses in the article published by the Journal of Medical Internet Research under the title "Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study" (<a href="https://doi.org/10.2196/46231">https://doi.org/10.2196/46231</a>)</p> <p>This data set contains information collected of 1,084 respondents about their awareness, use, and usefulness of symptom checkers and several individual characteristics. </p>
Fig. 11 in The ammonoids from the Gattendorfia Limestone of Oberrödinghausen (Early Carboniferous; Rhenish Mountains, Germany)
Fig. 11. The morphological terms used in the description of the ammonoid conchs and suture lines.
Preservational modes of some ichthyosaur soft tissues (Reptilia, Ichthyopterygia) from the Jurassic Posidonia Shale of Germany
<p><em><span>Konservat-Lagerstätten</span></em><span>, such as the Toarcian (Early Jurassic) Posidonia Shale of southwestern Germany, are renowned for their spectacular fossils. Ichthyosaur skeletons recovered from this formation are frequently associated with soft-tissues; however, the preserved material ranges from three-dimensional, predominantly phosphatized structures to dark films of mainly organic matter. We examined soft-tissue residues obtained from two ichthyosaur specimens using an integrated ultrastructural and geochemical approach. Our analyses revealed that the superficially-looking 'films' in fact comprise sections of densely aggregated melanosome (pigment) organelles sandwiched between phosphatized layers containing fibrous microstructures. We interpret this distinct layering as representing condensed and incompletely degraded integument from both sides of the animal. When compared against previously documented ichthyosaur fossils, it becomes readily apparent that a range</span> <span>of preservational modes exists between presumed 'phosphatic' and 'carbonized' soft-tissue remains. Some specimens show high structural fidelity (e.g., distinct integumentary layering), while others, including the fossils examined in this study, retain few original anatomical details. This diversity of soft-tissue preservational modes among Posidonia Shale ichthyosaurs offers a unique opportunity to examine different biostratinomic, taphonomic, and diagenetic variables that potentially could affect the process of fossilization. Soft-tissue preservation in the Posidonia Shale likely was regulated by a multitude of factors, including decay efficacy and speed of phosphatic mineral nucleation; these in turn were governed by a seafloor with sustained microbial mat activity fuelled by high organic matter input and seasonally fluctuating oxygen levels. </span></p>
Revisions. NS-Regime, WW2 and Holocaust in West-German Documentaries in the Early Federal Republic of Germany
<p>This contribution presents an English summary of some of the important ideas of the project "Revisionen. Nationalsozialismus, Holocaust und Zweiter Weltkrieg im dokumentarischen Film der frühen Bundesrepublik Deutschland" (Revisions. National Socialism, Holocaust and World War II in Documentary Film in the Early Federal Republic of Germany) by the two authors Götz Lachwitz and Thomas Weber, which was published as a book. It deals with the hitherto little-noticed examination of the Nazi past, the Holocaust and the Second World War by the West German documentary films made up to 1961, which sought a new social approach to the past and thus sought to contribute to a resolution of the conflicts in their time. The project does not deal solely with well-known films such as <em>Nuit et Brouillard</em> by Alain Resnais or <em>Mein Kampf</em> by Erwin Leiser, but takes a look at a broader selection. Building on in-depth archival work, it also discusses films that have rarely or not at all been taken up in the specialized literature. Even if the discourses discernible in most of the films tie in with familiar interpretations, they still surprise us with a diversity of formats, distribution channels, and performance contexts, for example in documentary television series or political education work, which points to a more differentiated approach to the Nazi past in the early Federal Republic than has generally been assumed to date.</p> <p>Published in TraMeTraMi, 7-2023: https://trametrami.avinus.org/publikationen/7-2023 </p> <p>Further Informations: https://produkte.avinus.de/produkt/lachwitz-weber-revisionen</p>
Dataset: a Social Accounting Matrix for Germany
<p>The Social Accounting Matrix (SAM) for Germany includes data on 163 production sectors, factors of production, indirect business taxes, households, corporations, government, gross fixed capital formation, changes in inventories, and the external accounts with the rest of the world. The SAM allows for economic analysis, policy evaluation, and economic modelling. The SAM is compiled by extending the EXIOBASE Input-Output accounts with data from Federal Statistical Office of Germany (DESTATIS) and using balancing items to ensure that the Total Income and Total Expenditure of the main transactors are in balance.</p>
Hydrological Turnover, discharge, net change of discharge, near stream gradients and variation of silicate concentrations - Hydrograph - two reaches of the Olewiger Bach, Germany.
<p>Measurements took place at the 'Olewiger Bach', a small low-mountain creek in Rhineland-Palatinate (Germany) at two distinct reaches with contrasting morphology from 2017 until 2022. The collected data consists of hydrological turnover data acquired by dilution gauging, discharge, net discharge changes, near stream groundwater gradients and the variation coefficient of silicate concentrations between the stream and groundwater. Hydrological turnover data regarding differences of reach sections and the resulting ratio of spatial turnover contribution of that reach is provided as well. In addition to that, hydrograph data of both reaches is provided in 6h interval, which was utilized to characterize reach drainage behavior via the calculation of the delayed flow index (DFI).</p>
Straw supply costs for Germany – NUTS3 | 2010-2020 | farm-side
<table> <tbody> <tr> <td> <p>The dataset contains information on the supply costs of cereal straw in Germany from 2010-2020 at NUTS 3 (county) level. The supply costs depend on the specific straw yield in each NUTS region and the assumed underlying supply chain. The specific straw yield is the NUTS specific average of the most relevant cereals [wheat, rye, oats, triticale, spring barley, winter barley] The supply chain is defined according to the NUTS specific average farm area in relation to the national average. Supply costs are divided into collection costs, transport costs, storage costs and opportunity costs. Opportunity costs are defined as the monetary cost of replacing the nutrients removed. The connecting research paper, which describes the methodology in detail is available under this DOI: <span>https://doi.org/10.1007/s12649-024-02528-x.</span></p> </td> </tr> </tbody> </table>
Data from: Evaluating growth in Macrospondylus bollensis (Crocodylomorpha: Teleosauroidea) in the Toarcian Posidonia Shale, Germany
<p>The dataset includes raw data (S1 - S3), .txt files (S3) and R codes (S3). Raw data is comprised of bone element measurements. S3 is a compressed .zip folder which includes all data (code, raw and additional) that pertains to our (1) ANCOVA and (2) evolutionary allometry analyses. We have decided to keep all these files together in one folder for better access and to not mix them with our ontogenetic data. </p>
Understanding habitat selection of range-expanding populations of large carnivores: 20 years of grey wolves (Canis lupus) recolonizing Germany
<p><strong>Aim</strong>: The non-stationarity in habitat selection of expanding populations poses a significant challenge for spatial forecasting. Focusing on the grey wolf (<em>Canis lupus</em>) natural recolonization of Germany, we compared the performance of different distribution modelling approaches for predicting habitat suitability in unoccupied areas. Furthermore, we analysed whether grey wolf showed non-stationarity in habitat selection in newly colonized areas, which will impact the predictions for potential habitat.</p> <p><strong>Location</strong>: Germany</p> <p><strong>Methods</strong>: Using telemetry data as presence points, we compared the predictive performance of five modelling approaches based on combinations of distribution modelling algorithms –GLMM, MaxEnt, and ensemble modelling– and two background point selection strategies. We used a homogeneous Poisson point process to draw background points from either the minimum convex polygons derived from telemetry or the whole area known to be occupied by wolves. Models were fit to the data of the first years and validated against independent data representing the expansion of the species. The best-performing approach was then used to further investigate non-stationarity in the species' response in spatiotemporal restricted datasets that represented different colonization steps.</p> <p><strong>Results</strong>: Whilst all approaches performed similarly when evaluated against a subset of the data used to fit the models, the ensemble model based on integrated data performed best when predicting range expansion. Models for subsequent colonization steps differed substantially from the global model, highlighting the non-stationarity of wolf habitat selection towards human disturbance during the colonization process.</p> <p><strong>Main conclusions</strong>: While telemetry-only data overfitted the models, using all available datasets increased the reliability of the range expansion forecasts. The non-stationarity in habitat selection pointed to wolves settling in the best areas first, and filling in nearby lower-quality habitat as the population increases. Our results caution against spatial extrapolation and space-for-time substitutions in habitat models, at least with expanding species.</p>
Entry to the Theresia mine, Morshausen, Germany
Entry to the 2nd level of the Theresia mine near Morshausen, Germany Source: Objaverse 1.0 / Sketchfab
ScienceDex guides
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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.