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zenodo36/100

Megalithic Tomb from "Rügen", Germany

Created from around 450 Images (Sony Cybershot RX-100 VM) using Meshroom, Blender and InstantMeshes. Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2021View details →
zenodo36/100

Megalithic Tomb from "Schmietkow", Germany

Creates from 800 Images (Sony Cybershot RX-100 VM), using Meshroom, Blender and InstantMeshes. Source: Objaverse 1.0 / Sketchfab

opencc-byMay 2021View details →
zenodo36/100

3D vegetation scans of DivResource experiment plots (Bad Lauchstädt, Germany)

<p>Meta data:</p> <ul> <li>Place and time of recording: Germany, Bad Lauchst&auml;dt, UFZ research station, DivResource experiment, 11.09.2023</li> <li>Specification of the type of smartphone used: iPhone 13</li> <li>App used: Scaniverse</li> <li>Brief information on the project context: Pilot test to create 3-demensional animations of vegetation plots with smartphone and 3D scanning app</li> </ul>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Photographic pictures of selected artifacts from Didon´s excavations at Abri Blanchard in the collection of the Naturhistorische Gesellschaft Nürnberg, Bavaria, Germany

<p>provided by the Friedrich-Alexander-Universit&auml;t Erlangen-N&uuml;rnberg (FAU), Institut f&uuml;r Ur- und Fr&uuml;hgeschichte. The data presented here includes photographs of the most indicative pieces from an assemblages archived in the magazine of the Naturhistorische Gesellschaft N&uuml;rnberg, Abteilung Vorgeschichte. For more information about the hosting institution, see <a href="https://www.nhg-nuernberg.de/main.php?section=Vorge">https://www.nhg-nuernberg.de/main.php?section=Vorge</a>.</p> <p>All photographic pictures made and arranged by U. Maa&szlig; (FAU).</p> <p>For further information about the context of the depicted artifacts see the following publication:</p> <p><em>Uthmeier, T., Pasda, K., Wiesner, C. M., &amp; Lechner, C. (2020). </em><em>Aurignacian only? New evidence for a Gravettian component in the lithic and bone industry from Didon&acute; s excavations at Abri Blanchard: Ausschlie&szlig;lich Aurignacien? Neue Belege f&uuml;r eine Gravettien-Komponente im lithischen und organischen Fundmaterial aus den Ausgrabungen Didons im Abri Blanchard.&nbsp;Quart&auml;r &ndash; Internationales Jahrbuch zur Erforschung des Eiszeitalters und der Steinzeit&nbsp;67, 23-43.</em></p> <p>The full-text is available under <a href="https://doi.org/10.7485/qu.2020.67.88914">https://doi.org/10.7485/qu.2020.67.88914</a></p> <p><strong>Abstract</strong> - The article presents for the first time the collection from Didon&acute;s excavations at Abri Blanchard hosted in the Naturhistorische Gesellschaft N&uuml;rnberg. Bought by the Gesellschaft in 1912 through the agency of Hugo Obermaier, the material consists of lithic artifacts, artifacts from bone, antler and ivory, personal ornament, faunal remains and pieces of the brecciated archaeological layer(s). The analysis shows that most of the lithic and osseous artifacts fit well into the variability of the Aurignacian. The bone points can formally be attributed to an early Aurignacian, characterized by split-based points, and a later Aurignacian, indicated by the presence of massive-based points. Although Gravettian artifacts have already been identified in one of the collections hosted in other museums, these were restricted to isolated pieces among the osseous industry. The present study for the first time identified not only additional Gravettian pieces among the osseous industry, but at the same time also a small series of Noailles-type burins, several Gravette points, and a bidirectional core alongside a Pavlovian smoother (&ldquo;Geweihstecher&rdquo;). The article discusses how these new findings compare to existing hypothesis about the origin of a non-Aurignacian component at the site.</p> <p><strong>Zusammenfassung</strong> - In dem vorliegenden Artikel werden erstmals Artefakte und Faunenreste aus den Ausgrabungen Didons im Abri Blanchard beschrieben, die sich im Archiv der Naturhistorischen Gesellschaft N&uuml;rnberg befinden. Das Inventar wurde 1912 nach Vermittlung von Hugo Obermaier angekauft und enth&auml;lt neben Steinartefakten und Artefakten aus Knochen, Geweih und Elfenbein auch Faunenreste, Schmuckanh&auml;nger und Brekzien-Bruchst&uuml;cke aus der Fundschicht. Die meisten Steinartefakte und Artefakte aus Knochen, Geweih und Elfenbein k&ouml;nnen in das Aurignacien gestellt werden. Die Geschossspitzen erlauben bei Anwendung der klassischen franz&ouml;sischen Gliederung die Unterscheidung eines fr&uuml;hen Aurignacien mit Geschossspitzen mit gespaltener Basis einerseits, und eines entwickelten Aurignacien mit Geschossspitzen mit massiver Basis andererseits. Wie in bereits publizierten Analysen an Altbest&auml;nden in Museen in Europa und den Vereinigten Staaten, so konnte auch in dem N&uuml;rnberger Inventar eine Gravettien-Komponente erkannt werden. Im Unterschied zu existierenden Untersuchungen liegen hier jedoch nicht nur isolierte St&uuml;cke vor, sondern eine Serie von Noailles-Sticheln und Gravette-Spitzen sowie ein gro&szlig;er bidirektionaler Kern. In dem Artikel werden die neuen Erkenntnisse mit bereits vorliegenden Ergebnissen aus &auml;lteren Studien verglichen sowie verschiedene Hypothesen zum Vorliegen einer Komponente, die nicht in das Aurignacien gestellt werden kann, diskutiert.</p>

opencc-by-4.0Feb 2024View details →
zenodo36/100

Supplementary data to article "From single trees to country-wide maps: Modeling mortality rates in Germany based on the Crown Condition Survey"

<p>This repository provides regression models and annual prediction rasters for tree mortality in Germany. &nbsp;</p> <p><strong>Regression models:</strong><br>Logistic regression models which predict tree mortality for the species (beech = Fagus sylvatica,&nbsp;<br>oak = Quercus petraea and robur, pine = Pinus sylvestris, spruce = Picea abies) and species&nbsp;<br>groups (OB = other broadleaves, OC = other conifers) based on observations of dead trees in the<br>German Crown Condition Survey (Waldzustandserhebung) and a set of environmental predictor&nbsp;<br>variables. The predictors come from the domains of climate (clim), site conditions (site, i.e.&nbsp;<br>topography, soil, land cover, deposition), tree age (age) and some models contain pairwise&nbsp;<br>interaction terms between predictors (inter). All models were fit in R and are represented as&nbsp;<br>objects of the class glm and stored in files of the type rds.</p> <p><strong>Prediction rasters:</strong><br>Spatial predictions of the mortality rate across Germany for each tree species and species group&nbsp;<br>and for each year from 1998 to 2022. The rasters have a spatial resolution of 100 m. Missing values<br>mark areas where the species/group does not occur. The mortality values are given as integers&nbsp;<br>between 0 (no mortality) and 10000 (100% mortality). The coordinate reference system is Lambert&nbsp;<br>Azimuthal Equal Area (LAEA; EPSG:3035). The rasters are provided in the file format GeoTIFF (tif).</p> <p>A detailed description of the data sources and analyses can be found in the following article.</p> <p><strong>Citation:</strong><br><em>Knapp, N., Wellbrock, N., Bielefeldt, J., D&uuml;hnelt, P., Hentschel, R., Bolte, A., 2024.&nbsp;</em><br><em>From single trees to country-wide maps: Modeling mortality rates in Germany based on the Crown Condition Survey.</em></p> <p><strong>Contact:</strong><br>nikolai.knapp@thuenen.de</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Data and code for the publication "Microplastics in water and sediments at the confluence of the Elbe and Mulde rivers in Germany"

<p><strong>Background</strong></p> <p>The data set contains data on visual and chemical analysis of sediment and water samples taken at the confluence of the Elbe and the Mulde rivers in Germany. It was analysed in the paper by H. Laermanns, G. Reifferscheid, J. Kruse, C. F&ouml;ldi, G. Dierkes, D. Schaefer, C. Scherer, C. Bogner and F. Stock, 2021, &ldquo;Microplastics in water and sediments at the confluence of the Elbe and Mulde rivers in Germany&rdquo; (<a href="https://doi.org/10.3389/fenvs.2021.794895">https://doi.org/10.3389/fenvs.2021.794895</a>) published in Frontiers in Environmental Science, Research Topic: &ldquo;Plastics in Aquatic Systems: from Transport and Fate to Impacts and Management Perspectives&rdquo;.</p> <p>&nbsp;</p> <p><strong>Description of the dataset</strong></p> <p>The data is available in the folder <strong>data_and_results.zip</strong>, and there in the folder <strong>data</strong>. The folder <strong>pyrolysis</strong> contains the file</p> <ul> <li><strong>pyr-gc-ms_raw.csv</strong>. This is the pyrolysis analysis (see description in the paper for technical details). The calibration data are part of the supplemental material of the paper and can be downloaded there.</li> </ul> <p>The folder <strong>visual_analysis</strong> contains the files</p> <ul> <li><strong>elbe_filter_photos_complete_v2.csv</strong>: IDs of samples, number of the photographs of filters, shapes of particles located on the filter</li> <li><strong>elbe_samples_v2.csv</strong>: IDs of samples, medium (water or sediment sample), location and side (left or right riverside) of sampling, sampling tool, sampled volume and mesh size.</li> </ul> <p>The folder <strong>results</strong> contains the figures produced by the R code (see <strong>Description of the code</strong>).</p> <p>&nbsp;</p> <p><strong>Description of the code</strong></p> <p>The file <strong>MP_visual_and_chemical_analysis.Rmd</strong> is the R notebook we wrote for the analysis. For information on the software version, see <strong>Information on software version </strong>below<strong>.</strong></p> <p>&nbsp;</p> <p><strong>Disclaimer</strong></p> <p>The data and code are provided as is without any warranty.</p> <p>&nbsp;</p> <p><strong>Acknowledgements</strong></p> <p>We thank the staff of the BfG laboratory for their support during the pyr-GC-MS analysis. Julia Horn helped with geochemical and sedimentological measurements in the laboratory of the Institute of Geography at the University of Cologne.</p> <p>&nbsp;</p> <p><strong>Funding</strong></p> <p>This study is embedded in the Project&nbsp; &ldquo;Micro- and macroplastic in federal water ways of Germany&rdquo; (Project 4.1.12, Project No. M39620304028) that intends to analyse the occurrence, transport mechanism, ecological risks and management options. This project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Project Number 391977956, SFB 1357.</p> <p>&nbsp;</p> <p><strong>References</strong></p> <p>Hannes Laermanns, Georg Reifferscheid, Jonas Kruse, Corinna F&ouml;ldi, Georg Dierkes, Dirk Schaefer, Christian Scherer, Christina Bogner and Friederike Stock, 2021, Microplastics in water and sediments at the confluence of Elbe and Mulde rivers in Germany, <a href="https://doi.org/10.3389/fenvs.2021.794895">https://doi.org/10.3389/fenvs.2021.794895</a></p> <p>R Core Team, 2021, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, https://www.R-project.org/</p> <p>&nbsp;</p> <p><strong>Information on software version</strong></p> <p>sessionInfo()</p> <p>R version 4.1.0 (2021-05-18)<br> Platform: x86_64-pc-linux-gnu (64-bit)<br> Running under: Ubuntu 20.10</p> <p>Matrix products: default<br> BLAS:&nbsp;&nbsp; /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3<br> LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3</p> <p>locale:<br> &nbsp;[1] LC_CTYPE=de_DE.UTF-8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; LC_NUMERIC=C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[3] LC_TIME=de_DE.UTF-8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; LC_COLLATE=de_DE.UTF-8&nbsp;&nbsp; &nbsp;<br> &nbsp;[5] LC_MONETARY=de_DE.UTF-8&nbsp;&nbsp;&nbsp; LC_MESSAGES=de_DE.UTF-8&nbsp; &nbsp;<br> &nbsp;[7] LC_PAPER=de_DE.UTF-8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; LC_NAME=C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[9] LC_ADDRESS=C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; LC_TELEPHONE=C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [11] LC_MEASUREMENT=de_DE.UTF-8 LC_IDENTIFICATION=C&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>attached base packages:<br> [1] stats&nbsp;&nbsp;&nbsp;&nbsp; graphics&nbsp; grDevices utils&nbsp;&nbsp;&nbsp;&nbsp; datasets<br> [6] methods&nbsp;&nbsp; base&nbsp;&nbsp;&nbsp; &nbsp;</p> <p>other attached packages:<br> &nbsp;[1] lubridate_1.8.0&nbsp;&nbsp;&nbsp; patchwork_1.1.1&nbsp;&nbsp;&nbsp; ggforce_0.3.3&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[4] gridExtra_2.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; RColorBrewer_1.1-2 forcats_0.5.1&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[7] stringr_1.4.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; dplyr_1.0.7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; purrr_0.3.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [10] readr_2.0.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tidyr_1.1.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tibble_3.1.6&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [13] ggplot2_3.3.5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tidyverse_1.3.1&nbsp; &nbsp;</p> <p>loaded via a namespace (and not attached):<br> &nbsp;[1] httr_1.4.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sass_0.4.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; bit64_4.0.5&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[4] vroom_1.5.5&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; jsonlite_1.7.2&nbsp;&nbsp;&nbsp; modelr_0.1.8&nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;[7] bslib_0.3.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; assertthat_0.2.1&nbsp; highr_0.9&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [10] cellranger_1.1.0&nbsp; yaml_2.2.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; sessioninfo_1.1.1<br> [13] pillar_1.6.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; backports_1.2.1&nbsp;&nbsp; glue_1.5.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [16] digest_0.6.28&nbsp;&nbsp;&nbsp;&nbsp; polyclip_1.10-0&nbsp;&nbsp; rvest_1.0.0&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [19] colorspace_2.0-2&nbsp; htmltools_0.5.2&nbsp;&nbsp; pkgconfig_2.0.3 &nbsp;<br> [22] broom_0.7.6&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; haven_2.4.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; scales_1.1.1&nbsp;&nbsp;&nbsp; &nbsp;<br> [25] tweenr_1.0.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tzdb_0.2.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; generics_0.1.1&nbsp; &nbsp;<br> [28] farver_2.1.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; ellipsis_0.3.2&nbsp;&nbsp;&nbsp; withr_2.4.2&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [31] cli_3.1.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; magrittr_2.0.1&nbsp;&nbsp;&nbsp; crayon_1.4.2&nbsp;&nbsp;&nbsp; &nbsp;<br> [34] readxl_1.3.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; evaluate_0.14&nbsp;&nbsp;&nbsp;&nbsp; fs_1.5.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [37] fansi_0.5.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; MASS_7.3-54&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; xml2_1.3.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [40] tools_4.1.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; hms_1.1.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; lifecycle_1.0.1 &nbsp;<br> [43] munsell_0.5.0&nbsp;&nbsp;&nbsp;&nbsp; reprex_2.0.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; compiler_4.1.0&nbsp; &nbsp;<br> [46] jquerylib_0.1.4&nbsp;&nbsp; rlang_0.99.0.9000 grid_4.1.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [49] rstudioapi_0.13&nbsp;&nbsp; labeling_0.4.2&nbsp;&nbsp;&nbsp; rmarkdown_2.11&nbsp; &nbsp;<br> [52] gtable_0.3.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; DBI_1.1.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; R6_2.5.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [55] knitr_1.36&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; fastmap_1.1.0&nbsp;&nbsp;&nbsp;&nbsp; bit_4.0.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [58] utf8_1.2.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; rprojroot_2.0.2&nbsp;&nbsp; desc_1.3.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [61] stringi_1.7.5&nbsp;&nbsp;&nbsp;&nbsp; parallel_4.1.0&nbsp;&nbsp;&nbsp; Rcpp_1.0.7&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;<br> [64] vctrs_0.3.8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; dbplyr_2.1.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; tidyselect_1.1.1<br> [67] xfun_0.28</p>

opencc-by-4.0Nov 2021View details →
dryad36/100

Chironomid assemblages and inferred summer temperature from the Last Glacial Period (ca. 98–46 ka), from Füramoos, Southern Germany

<p>The data herein presents a new chironomid record and associated chironomid-based temperature reconstruction covering the time interval ca. 98–46 ka from the palaeolake Füramoos, Southern Germany. These data also include non-chironomid invertebrate remains, including Ceratopogonidae, Daphnia and Ephemeroptera as well as Characean oospores.</p>

opencc-zeroDec 2021View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – 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 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: Federal Institute for Risk Assessment</p>

opencc-by-4.0Mar 2022View details →
dryad36/100

Data from: Feeding habits of the Middle Triassic pseudosuchian Batrachotomus kupferzellensis from Germany and palaeoecological implications for archosaurs

<p>Bite traces on fossil bones are key to deciphering feeding ecology and trophic interactions of vertebrate past ecosystems. However, similarities between traces produced by different carnivorous taxa with similar dentitions and misidentifications due to equifinality hinder confident identifications of the bite makers. Here, we correlate bite traces with macroscopic wear and microanatomy of the teeth of the pseudosuchian archosaur <i>Batrachotomus kupferzellensis</i> from the Triassic Lower Keuper fossil lagerstätten (southern Germany), untangling its feeding habits and shedding light on the bite traces generated by ziphodont teeth (teeth with serrated carinae). Individually, bite traces reflect tooth morphology, whereas composite bite traces and their frequency are related to feeding behaviour and explain tooth macroscopic wear and microanatomy. Therefore the identification of the bite maker is possible by analysing composite bite traces, their location on bones, and their relative abundance. In addition, tooth macroscopic wear and microanatomy are proven as independent lines of evidence of feeding ecology. Comparing bite traces on fossil and present-day bone assemblages, we observe that bone modifications by the crocodylomorph lineage (from Triassic pseudosuchian archosaurs to extinct and extant crocodylians) are strikingly similar, including taxa with and without ziphodont teeth. Such a set of features differs from bone modification assemblages produced by taxa with similar ziphodont teeth outside the pseudosuchian lineage (such as theropod dinosaurs and the Komodo monitor), suggesting a phylogenetic signal in feeding ecology among saurian reptiles. --</p>

opencc-zeroMar 2022View details →
zenodo36/100

On the trail of fluids in the northernmost intracontinental earthquake swarm areas of the Leipzig-Regensburg fault zone, Germany

<p>rf.dat contains a migrated receiver functions profile (X, Z, Amplitude) between 50&deg;N and 51.15&deg;N.</p> <p>simul_vel.dat contains a 3D velocity model obtained with SIMULPS14 (Longitude, Latitude, Depth, Vp, Vs).</p> <p>velest_vel.dat contains a 1D velocity model obtained with VELEST (Vp or Vs, Depth, Weighting).</p>

opencc-by-4.0May 2022View details →
dryad36/100

COVID-19 lockdown measures impacted citizen science hedgehog observation numbers in Bavaria, Germany

<p>The COVID-19 pandemic has led to temporary changes in human-animal interactions due to changes in human activities. Here we report on a surge in hedgehog observations during the first COVID-19 lockdown in Germany in 2020, on the citizen science web portal 'Igel in Bayern' (Hedgehogs in Bavaria) in Germany. This increase in comparison to previous years could be attributed to an increase in the number of people reporting hedgehog observations, rather than an increase in the number of hedgehog observations done by each observer. Additionally, in contrast to other studies on the effects of a COVID-19 lockdown on observations recorded by Citizen Science projects, the share of observations made in more urbanized areas during the lockdown time was not higher than the change observed in less urbanized areas. This is possibly a result of the differences in COVID-19 measures between Germany and other countries where preceding studies were carried out, in particular the lack of measures limiting outdoor activities for citizens.</p>

opencc-zeroMay 2022View details →
dryad36/100

Knowledge of returning wildlife species and willingness to participate in citizen science projects among wildlife park visitors in Germany

<p>Successful conservation efforts have led to recent increases of large mammals such as European bison (Bison bonasus), moose (Alces alces) and grey wolf (Canis lupus) and their return to former habitats in central Europe. While embraced by some, the recovery of these species is a controversial topic and holds potential for human-wildlife conflicts. Involving the public has been suggested to be an effective method for monitoring wildlife and mitigating associated conflicts. To assess two interrelated prerequisites for engaging people in Citizen Science (CS) – knowledge of returning species and respondents' readiness to participate in CS activities for monitoring and managing these species – we conducted a survey (questionnaire) in two wildlife parks located in different states of Germany. Based on 472 complete questionaires, we developed generalized linear models to 1) understand how sociodemographic variables and exposure to the species affected visitors' knowledge of each species, and to 2) investigate if sociodemographic variables and knowledge influenced the likelihood of visitors to participate in CS activities. Almost all visitors were aware of the returning wolf population, while knowledge and awareness about bison and moose were significantly lower. Knowledge of the two herbivores differed geographically (higher knowledge of moose in the north-eastern state), possibly indicating a positive association between exposure to the species and knowledge. However, models generally performed poorly in predicting knowledge about wildlife, suggesting that such specific knowledge is insufficiently explained by sociodemographic variables. Our model to explain stated willingness in CS indicated that younger participants and those with higher knowledge scores in the survey were more willing to engage in CS activities. Overall, our analyses highlight how exposure to large mammals, knowledge about wildlife and human demographics are interrelated - insights that are helpful for effectively recruiting citizen scientists for wildlife conservation.</p>

opencc-zeroJun 2022View details →
dryad36/100

Data from: The skeletal taphonomy of anurans from the Eocene Geiseltal Konservat-Lagerstätte, Germany: insights into the controls on fossil anuran preservation

<p>The Geiseltal biota is a lacustrine-hosted Konservat-Lagerstätte from the Eocene of central Germany. Despite its rich fauna and flora that is represented by at least 50,000 fossil vertebrates, insects and other invertebrates, plants and trace fossils, the taphonomy of the biota is still poorly understood. In particular, the anurans have not been the focus of taphonomic investigation. Here, we analysed the skeletal taphonomy of 168 anurans from Geiseltal and scored each specimen for orientation, completeness and articulation. Most specimens are partial skeletons that were truncated during preparation. This process introduces measurable artefacts into the taphonomic data and should be assessed in future taphonomic studies on fossil vertebrates. The Geiseltal anurans show several recurring taphonomic states, including disarticulation or loss of abdominal bones, loss of one or more limbs, extensive disarticulation and extensive loss of elements across the body. Relatively rare taphonomic states include loss of distal limb elements only, scattered bones and isolated, articulated limbs. These data are the basis of a new taphonomic model for the Geiseltal anurans. Comparative analysis of patterns in completeness and articulation in these specimens and in fossil anurans from other Cenozoic Lagerstätten reveals repeated taphonomic patterns in anuran preservation in lacustrine-hosted settings, such as proximal to distal trends in completeness, preferential loss of small peripheral bones, disarticulation of abdominal bones and reorientation of major body regions and limbs. The taphonomic controls in lacustrine systems are surface water temperature, lake depth, vegetation, exposure to bottom currents, transport mechanisms, extent of scavenging, decay regime, bone size and bone location in the skeleton. In turn, these are ultimately controlled by palaeoclimate, lake physiography and hydrology, and anuran anatomy. A universal approach to quantitative analysis of skeletal taphonomy metrics will allow comparative testing of the relationship between preservation and palaeoenvironment for diverse fossil vertebrates.</p>

opencc-zeroJun 2022View details →
dryad36/100

Data from: A Miopetaurista (Sciuridae, Rodentia) cranium from the middle Miocene of Bavaria (Germany) and brain evolution in flying squirrels

<p>Flying squirrels (Sciurinae, Pteromyini) are the most successful group of gliding mammals. However, their fossil record mostly consists of isolated dental remains which provide very limited insights into their paleobiology and evolution. Only recently, the first skeleton of a fossil flying squirrel, belonging to the species <em>Miopetaurista neogrivensis</em>, has been described. It presents all the diagnostic gliding-related postcranial features of its extant relatives and shows that this group has undergone very little morphological change for almost 12 million years. However, the associated cranium is badly crushed, so particular details of the cranial morphology cannot be described. Here we describe a well-preserved cranium of the closely-related <em>Miopetaurista crusafonti</em> from 12.5–12.0 Ma from Bavaria (Germany). Its cranial morphology is found to be almost identical to extant large flying squirrels, even in details such as the position of the foramina. The virtual endocast also shows close affinities to living large flying squirrels in morphology and in the relative volume of different brain regions, showing diagnostic features such as the size reduction of petrosal lobules and olfactory bulbs. However, the encephalization quotient (EQ) and neocortical ratio are lower than observed in extant flying squirrels. EQ is known to increase through time in squirrels, but might also be related to locomotion, as arboreal and gliding squirrels display higher EQs than terrestrial ones. Because <em>Miopetaurista</em> was certainly a glider, its comparatively lower EQ and neocortical size support the existence of an independent trend of increasing EQ and neocortical complexity in this flying squirrel subclade.</p>

opencc-zeroJun 2022View details →
zenodo36/100

Upscaling tracer-aided ecohydrological EcH2O-iso model in larger catchments: model setup and model simulations in the Selke catchment, central Germany

<p>This data repository is associated with the scientific article &quot;Upscaling Tracer-aided Ecohydrological Modeling to Larger Catchments: Implications for Process Representation and Heterogeneity in Landscape Organization&quot; by Yang et al. (submitted to Water Resources Research).</p> <p>This dataset includes the model setup information of the EcH2O-iso model in the Selke catchment, central Germany (./model_setup_Selke), and all model simulations and data analyses that are necessary to rebuilt the work (./model_sim_data).</p> <p>Please also refer to https://github.com/XYang-EcoHydroWQ/EcH2O-iso_largescale for corresponding model source code of the EcH2O-iso model, including modifications for larger-scale modeling.</p>

opencc-by-4.0Jun 2022View details →
dryad36/100

Comparison of mosquitoes and fly derived DNA as a tool for sampling vertebrate biodiversity in suburban forests in Berlin, Germany

<p><span>The use of invertebrate-derived DNA (iDNA) is a promising non-invasive tool to monitor wildlife. While most studies have been carried out in dense tropical and sub-tropical forests and have focused on the use of a single category of invertebrates, this study compares the use of flies- and mosquito-derived DNA to assess vertebrate diversity in semi-urban environments. We conducted our sampling in four different forest plots in Berlin, Germany. Pools of flies and non-bloodfed mosquitoes were metabarcoded using 108 bp vertebrate-specific 12S rRNA (12S-V5) and 94 bp mammal-specific 16S rRNA (16Smam) mitochondrial markers, and individual bloodfed mosquitoes were sequenced using the 340 bp vertebrate-specific 12S rRNA fragment (Mam-12S-340). From the fly pools, we detected 10 mammal species using 16Smam, while 12S-V5 detected four bird, two amphibian and six mammal species. From the non-bloodfed mosquito pools, we only amplified putative contaminant DNA, indicating that mosquito females without visual signs of a blood meal carry no traces of vertebrate DNA. Finally, in the bloodfed mosquitoes, we identified four mammal and one bird species. Focusing on mammal species, we did not find significant differences in the proportion of species detected regarding the total available number of species between sampling localities. Fly samples were easier to obtain and more abundant over the sampled localities compared to mosquito samples. We conclude that, while there are a few advantages in using mosquito blood meals, the use of flies in the detection of wildlife in a suburban environment is more effective in terms of collection of samples and detection of vertebrates, although this technique is limited to few mammal species in the urban environment. </span></p>

opencc-zeroJul 2022View details →
dryad36/100

Evisceration residues from hunted roe deer as a resource for necrophagous insect fauna in the Black Forest, Germany: a preliminary study

<p>This dataset is used to investigate if evisceration residues of roe deer are used as a resource by necrophagous insects. Pit fall traps baited with eviceration residues, entire carcasses or unbaited were used to sample invertebrates. </p>

opencc-zeroAug 2022View details →
zenodo36/100

Supplementary data: "Open modeling of electricity and heat demand curves for all residential buildings in Germany"

<p>This repository contains supplementary data for the paper&nbsp;<a href="https://doi.org/10.1186/s42162-022-00201-y"><em> &quot;Open modeling of electricity and heat demand curves for all residential buildings in Germany&quot;</em></a>.</p> <p>See <em>README.md</em> / <em>README.pdf</em> for further details.</p> <p><strong>Citing</strong></p> <p>Please cite as:</p> <p><em>B&uuml;ttner, C., Amme, J., Endres, J. et al. Open modeling of electricity and heat demand curves for all residential buildings in Germany. Energy Inform 5 (Suppl 1), 21 (2022).</em></p> <p><strong>Funding</strong></p> <p>The authors thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project eGon (funding code: 03EI1002).</p> <p>&nbsp;</p>

openodc-odblJun 2022View details →
zenodo36/100

Survey among self-employed persons in Germany during the COVID-19 pandemic. wave 2020.

<p>In spring 2020, DIW Berlin, ZEW Mannheim, and the University of Trier conducted an online survey among self-employed persons to collect data on the situation of the self-employed in Germany at the onset of the COVID-19 pandemic. The online survey was disseminated in cooperation with the Verband der Gr&uuml;nder und Selbstst&auml;ndigen Deutschland (VGSD) e.V. and other professional associations.</p> <p>The questionnaire included 51 questions and focused on the following topics:<br> - the self-employed&#39;s affectedness by the pandemic and by government containment measures<br> - financial situation during the pandemic<br> - application to government support programs<br> - business strategies to overcome the crisis<br> - assessments of the future<br> - sociodemographic characteristics<br> - business-related characteristics</p> <p>In total, 27,262 interviews were collected.</p>

opencc-by-4.0Sep 2022View details →
zenodo36/100

Text-fig. 5. Pyracantha coccinea M.ROEM. (Cottbus, herbarium Striegler). Scale bar 10 mm. in New Leaf Species From The Upper Miocene Flora Of The Leaf-Bearing Wischgrund Clay (Lower Lusatia, Brandenburg, Germany)

Text-fig. 5. Pyracantha coccinea M.ROEM. (Cottbus, herbarium Striegler). Scale bar 10 mm.

opencc-by-4.0Dec 2021View details →

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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