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2,348 results for “germany”
2 Euro Germany
This coin model was scanned by the Beta version of the D3D-s scanner. Note how accurately even the smallest details are captured. Look at the precision of the edges. Find more information about the scanner at www.d3d-s.com Source: Objaverse 1.0 / Sketchfab
Grube Theresia, Morshausen, Germany
Reconstruction of the Theresia mine near Morshausen, Germany based on old Prussian plans of the mine shafts. Source: Objaverse 1.0 / Sketchfab
Gladiator Lamp - Leipzig, Germany - October 2016
Another thing from my apartment in Leipzig. This replica oil lamp is from the living room. Source: Objaverse 1.0 / Sketchfab
Dataset Case-control study: Risk factors for sporadic non-pregnancy related listeriosis in Germany, 2012-2013
<p>The dataset contains data of a nationwide age-frequency matched case-control study in Germany, 2012-2013, which was performed to identify underlying conditions and foods asscociated with sporadic listeriosis. It covers anonymous sociodemografic information, information on underlying conditions, and >60 food items. Data for control subjects were obtained from a population-based random telephone sample, which was generated according to the method by Gabler and Häder and considered telephone numbers not registered in telephone books.</p>
Heat Stress Exposure Maps - Urban Planning Scenario 2026 - 2045: Berlin, Germany
<p><strong>Berlin heat stress exposure map: average number of heatwave days per year versus socio economic data - urban planning scenario (2026-2045).</strong></p> <p>Heat stress exposure maps for Berlin representing the average number of heatwave days per year versus socio economic data per statistical unit. The average number of heatwave days per year has been modeled over the reference period 2026-2045 using the present land use / cover situation for the city but combined with urban planning projects information until 2030. Hence, the urban morphology has been updated accordingly.</p> <p><strong>Scenario: </strong>Urban planning scenario (situation LULC today + integrated urban planning projects 2030)</p> <p><strong>Exposure mapping variable: </strong><br /> Total population 2030<br /> Population density inhabitants per hectare 2030</p>
Heat Stress Maps - Urban Planning Scenarios 1986-2005 / 2026 - 2045: Berlin, Germany
<p>Heat stress maps for Berlin representing<br /> * the average number of heatwave days<br /> (1986 – 2005 | 2026 – 2045 | 2081 – 2100)<br /> per statistical unit or per grid</p> <p>The heat stress parameter considered has been modelled over the reference period 2026 - 2045 using the present land use / cover situation for the city but combined urban planning projects information until 2030. Hence, the urban morphology has been updated accordingly.</p> <p>Scenario: Urban Planning</p>
Heat Stress Maps - Base Scenarios 1986-2005 / 2026 - 2045 / 2081 - 2100: Berlin, Germany
<p>Heat stress maps for Berlin representing<br /> * the average number of heatwave days<br /> (1986 – 2005 | 2026 – 2045 | 2081 – 2100)<br /> per statistical unit or per grid</p> <p>* The Urban Heat Island effect at 11pm per year<br /> (1986 - 2005) per statistical unit or per grid</p> <p>The heat stress parameter considered has been modelled over the reference period using the present land use / cover situation for the city.</p> <p>Please note that only the base scenario 1986-2005 has got maps with the 2 heat stress parameters:<br /> * Average number of heat wave days per year<br /> * Urban Heat Island effect at 11pm per year</p> <p>Scenario: Base scenario (situation LULC today)</p>
Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Berlin, Germany (Map-2 & Map-3)
<p>Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Berlin, Germany</p> <p>Map-2 & Map-3 (zip.file) ref. to DOI: 10.5281/zenodo.45015</p>
Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Berlin, Germany
<p><strong>Average number of heatwave days per year versus socio economic data - base scenario (1986-2005)</strong></p> <p>Heat stress exposure maps for the city of Berlin representing the average number of heatwave days per year versus socio economic data per statistical unit. The average number of heatwave days per year has been modelled over the reference period 1986-2005 using the present land use / cover situation for the city.</p> <p><strong>Exposure mapping variable include the following:</strong></p> <p>Total population 2013</p> <p>Population density inhabitants per hectare 2013</p> <p>Number of inhabitants aged 0 to 17 years 2013</p> <p>Number of inhabitants aged 18 to 65 years 2013</p> <p>Number of inhabitants aged +65 years 2013</p> <p>Number of schools 2014</p> <p>Number of childcare centers 2014</p> <p>Number of hospitals 2014</p> <p>Number of elderly stay facilities 2014</p>
FIGURE 25. Fritz Plaumann, December 29, 1939 in Brazilian Sesiidae in the collection of the Universität des Saarlandes, Saarbrücken, Germany (Lepidoptera)
FIGURE 25. Fritz Plaumann, December 29, 1939 (photo provided by C. S. Papp).
FIGURE 25. Fritz Plaumann, December 29, 1939 in Brazilian Sesiidae in the collection of the Universität des Saarlandes, Saarbrücken, Germany (Lepidoptera)
FIGURE 25. Fritz Plaumann, December 29, 1939 (photo provided by C. S. Papp).
Surveillance of recent HIV infections in Germany between 2008 and 2014
<p>The data file contains the raw data of an analysis in the scope of the surveillance of recent HIV infections in Germany, run by the Robert Koch Institute, Berlin, Germany. The data covers anonymous sociodemographic data and BED-CEIA test results from newly diagnosed HIV cases in Germany.</p>
Dataset for Antimicrobial resistance of Neisseria gonorrhoeae in Germany: low levels of cephalosporin resistance but rising azithromycin resistance
<p>This is Dataset used for Publication "Antimicrobial resistance of <em>Neisseria gonorrhoeae</em> in Germany: low levels of cephalosporin resistance but rising azithromycin resistance" and contains data on Information on performed Neisseria gonorrhoeae AMR tests in sentinel Laboratories as well as AMR testing in consiliary Laboratory.</p>
Laboratory data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Germany
<p>This dataset contains ASF laboratory analytical results in wild boar.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2024_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2023_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)*</li> <li>ASF2022_DE - Federal Research Institute for Animal Health, Friedrich-Loeffler-Institute (FLI)</li> </ul> <p> </p> <p> </p> <p>*This version of the ASF laboratory data has been republished with the subunit identification code (sampUnitIds.subUnitId) column empty due to data protection reasons</p>
Climate‐driven tree growth and mortality in the Black Forest, Germany: Long‐term observations
<p>Episodic tree mortality can be caused by various reasons. This study describes climate‐driven tree mortality and tree growth in the Black Forest mountain range in Germany. It is based on a 68‐year consistent data series describing the annual mortality of all trees growing in a forest area of almost 250 thousand ha. The study excludes mortality caused by storm, snow and ice, and fire. The sequence of the remaining mortality, the so‐called "desiccated trees," is analyzed and compared with the sequence of the climatic water balance during the growing season and the annual radial growth of Norway spruce in the Black Forest. The annual radial growth series covers 121 years and the climatic water balance series 140 years. These unique time series enable a quantitative assessment of multidecadal drought and heat impacts on growth and mortality of forest trees on a regional spatial scale. Data compiled here suggest that the mortality of desiccated trees in the Black Forest during the last 68 years is driven by the climatic water balance. Decreasing climatic water balance coincided with an increase in tree mortality and growth decline. Consecutive hot and dry summers enhance mortality and growth decline as a consequence of drought legacies lasting several years. The sensitivity of tree growth and mortality to changes in the climatic water balance increases with the decreasing trend of the climatic water balance. The findings identify the climatic water balance as the main driver of mortality and growth variation during the 68‐year observation period on a landscape‐scale including a variety of different sites. They suggest that bark beetle population dynamics modify mortality rates. They as well provide evidence that the mortality during the last 140 years never was as high as in the most recent years.</p>
Residential Value of Lost Load (VOLL) per county in Germany
<h2>Supplementary data for the publication: <i>Trade-offs between system cost and supply security in municipal energy system design: an analysis considering spatio-temporal disparities in the Value of Lost Load</i></h2><p>The contents of the files are as follows:</p><ol><li><a href="https://zenodo.org/api/records/10064429/draft/files/VOLL_hourly_municipal.csv/content">VOLL_hourly_municipal.csv</a> contains the hourly resolved Value of lost Load for each NUTS3 region in Germany.</li><li><a href="https://zenodo.org/api/records/10064429/draft/files/VOLL_municipal_data.csv/content">VOLL_municipal_data.csv </a> contains the data that was used to perform the calculations as described in the Paper.</li><li><a href="https://zenodo.org/api/records/10064429/draft/files/nuts3_bnd_id_cities.csv/content">nuts3_bnd_id_cities.csv</a> contains a mapping of NUTS3 identifier, the German key number for the municipality and the name of the municipality.</li></ol>
Carbon isotope discrimination and yield of winter wheat in an agrivoltaic system (Heggelbach, Herdwangen-Schönach, Germany) from 2016/17 - 2019/20
Open the record for dataset details and reuse information.
Orthophotos and 2D hydraulic modelling results used for habitat suitability modelling of the River Inn section (river km 35.3-48) in SE Germany
<p>The aerial RGB picture acquisition was performed on October 7 (bypass channel) and 11 (side channel) 2022 using a DJI-Matrice 210 V2 RTK drone. For the image acquisition, the drone mounted the DJI Zenmuse X5S RGB camera. The flight was realized at an altitude of about 120 m, ensuring a lateral and longitudinal overlap of the images of about 80%. Gound Control Points (GCPs) have been disposed along the study site, and their position georeferenced using a Emlid Reach RS2 RTK GPS system. After data collection, an RGB orthomosaic with a spatial resolution of 25 cm was generated, using PIX4Dmapper v4.7.5 (www.pix4d.com).</p><p>The hydrodynamic simulations were performed with the freeware software BASEMENT v3.2 (https://basement.ethz.ch), which solves the 2D shallow-water equations using a finite volume approach over two-dimensional unstructured meshes. Computational meshes were created using the QGIS plugin BASEmesh 2, with spatially varying element sizes, which were set to be finer in areas expected to be suitable for spawning and as nursery grounds, or when needed to more accurately represent the local morphological complexity.</p>
Flower visitors and fruit set of sweet cherry in Germany
<p><span>Mason bees (<em>Osmia </em>spp.) are efficient fruit tree pollinators that can be encouraged to occupy and breed in artificial nesting material. </span><span>In sweet cherry orchards</span><span>, they are occasionally used as an alternative managed pollinator as a replacement for or in addition to honey bees (<em>Apis</em> <em>mellifera</em>). Yet, the lack of practical guidelines on management practices, e.g., optimal stocking rates, for both mason bee nesting material and honey bees might compromise pollination service provision. In this study, we assessed the relationship between stocking rates (honey bee hives and mason bee nesting material) and the abundance of honey bees and mason bees in 17 sweet cherry (<em>Prunus</em> <em>avium</em>) orchards in Central Germany. </span><span>We furthermore performed a</span><span> pollination experiment </span><span>to</span><span> explore the interactive effect of mason bees and honey bees on sweet cherry fruit set. In the orchards, both honey bee and mason bee abundance increased with increasing stocking rates of hives or nesting material, respectively. Honey bee abundance increased linearly with stocking rates. In contrast, mason bee abundance asymptoted at 2-3 nesting boxes per ha, beyond which more boxes resulted </span><span>in</span><span> little increase in visitation rate. Our pollination experiment demonstrated that the orchards were pollen limited, with only 28% of insect-pollinated flowers setting fruit versus 39% of optimally hand-pollinated flowers. Honey bees and mason bees enhanced sweet cherry fruit set, but only when both were present and not when either was present alone in an orchard. Our findings demonstrate that offering nesting material for mason bees and employing honey bee hives can enhance bee abundance in sweet cherry orchards. By increasing honey bee abundance in combination with enhanced mason bee abundance, farmers can </span><span>substantially</span><span> boost fruit set and potentially sweet cherry yield. To enhance pollination services, farmers should consider the benefits of increasing pollinator biodiversity as an immediate</span><span> benefit to improve crop yields.</span></p>
Porta Nigra - Roman city gate in Trier, Germany
A part of model, reconstructed just from terrestrial acquisition tourist image.  The Porta Nigra (Latin for black gate) is a large Roman city gate in Trier, Germany. It is today the largest Roman city gate north of the Alps. It is designated as part of the Roman Monuments, Cathedral of St. Peter and Church of Our Lady in Trier UNESCO World Heritage Site. The name Porta Nigra originated in the Middle Ages due to the darkened colour of its stone; the original Roman name has not been preserved. Locals commonly refer to the Porta Nigra simply as Porta. 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.