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Fig. 4. Doliops basilana Heller, 1924 in Type specimens of the genera Doliops Waterhouse, 1841 and Lamprobityle Heller, 1923 (stat. nov.) (Coleoptera: Cerambycidae) and description of two new species deposited in Senckenberg Natural History collections Dresden, Germany
Fig. 4. Doliops basilana Heller, 1924 (A – dorsal view, B – lateral view, C – labels)
Fig. 8. Doliops metallica Breuning, 1938 in Type specimens of the genera Doliops Waterhouse, 1841 and Lamprobityle Heller, 1923 (stat. nov.) (Coleoptera: Cerambycidae) and description of two new species deposited in Senckenberg Natural History collections Dresden, Germany
Fig. 8. Doliops metallica Breuning, 1938 (A – dorsal view, B – lateral view, C – labels)
Data from: Occurrence, ecology and management of Fascioloides magna in Bavaria, Southern Germany
<p>In 2015, red deer infected with American liver fluke were discovered in the Veldenstein Forest area for the first time. This was the first detection of the fluke in a wild deer population in Bavaria. </p> <p>The aim of the study was to determine the American liver fluke prevalence rates in red deer, roe deer and wild boar in the Veldenstein Forest, as well as factors influencing these rates.</p> <p>Since 2018, the livers of 83% of the red deer culled in the study area have been examined, as well as those of the occasional roe deer and wild boar. The livers are classified by adspection and dissection into four levels of infection. The age of the animals was estimated on the basis of dentition and tooth cementum annuli in the first molar (M1). The livers of 520 red deer, 226 roe deer and 75 wild boar were dissected. All wild boar livers tested negative. 3% of roe deer and 36% of red deer livers were positive. To lower the prevalence, the red deer population was reduced, beginning in 2018. In the following years, it fell significantly. Medium and high levels of infection were initially detected in 61% of adult red deer. Since 2018, the median number of flukes per infected liver has decreased significantly from 17.51 flukes/liver to 10.0 flukes/liver. On driven hunts, significantly more diseased deer were found than during hunting from raised hides.</p> <p>Furthermore, there are close correlations between infectations and the age of the red deer, and infections and the distance from the Pegnitz floodplains. The American liver fluke leads to the extinction of roe deer locally and to a massive infectation and decimation of the red deer population. Without a drastic reduction of the numbers in infected red deer populations, there is a risk of large-scale infection of native deer species across large areas in Bavaria.</p>
ETHOS.BUILDA: Building Footprint and Height Dataset Germany
<h2>Introduction</h2> <p>This dataset contains all buildings in Germany with their footprint polygon and height. It is a partial dump of the ETHOS.BUILDA database (version v7_20240429). ETHOS.BUILDA is a database containing building-level data for the German building stock. It is based on various data sources that are combined and enriched with machine learning approaches to generate one consistent and complete building dataset. </p> <p>ETHOS.BUILDA is made available under the <a href="http://opendatacommons.org/licenses/odbl/1.0" target="_blank" rel="noopener">Open Database License (ODbL)</a>. The licenses of the contents of the database depend on the data source. The sources of the building attributes and information on the type of processing that was done to assign the information from the raw data to the building in ETHOS.BUILDA are provided for each individual data point.</p> <h2>Data structure and file overview</h2> <p>Building data is provided per federal state, the files are named according to the <a href="https://en.wikipedia.org/wiki/NUTS_statistical_regions_of_Germany" target="_blank" rel="noopener">NUTS-1</a> region names. The building data has the following fields:</p> <table> <tbody> <tr> <td><strong>field name</strong></td> <td><strong>description</strong></td> </tr> <tr> <td>ID</td> <td>unique identifier of the building</td> </tr> <tr> <td>source</td> <td>the source of the building footprint</td> </tr> <tr> <td>footprint</td> <td>footprint polygon in WKT-format, EPSG:3035</td> </tr> <tr> <td>height_m</td> <td> <p>value: height of the building in [m], </p> <p>source: source of the height data,</p> <p>lineage: height assignment method</p> </td> </tr> </tbody> </table> <p>A mapping of the abbreviations of "source" and "lineage" of individual data points to the descriptions is provided in sources.csv and lineages.csv. There is no source entry for the source "v7_model.json" in the sources.csv file, as this refers to the internally trained machine learning model and not to an external dataset.</p> <h2>Acknowledgements</h2> <p>This work was supported by the Helmholtz Association under the program "Energy System Design". </p> <p>Furthermore, the authors would like to express their gratitude to the Federal Ministry for Economic Affairs and Climate Action (BMWK.IIB4) for providing the necessary resources to conduct this study. Our research was supported by the WAAGE Grant Program (Grant No. 03EI1044/03EE 5031D), and we appreciate their financial assistance.</p>
Community survey among science communication practitioners in Germany (2023)
<p>This dataset contains fully anonymized responses to an online survey conducted among German science communication practitioners (N = 103) concerning general science communication (formats, goals, target groups) but also focusing on the specific issue of evaluation in science communication. The survey was in the field from November 13 to December 14, 2023. Sampling was purposive, science communication practitioners were contacted via newsletters, mailing lists, at conferences and with the help of specific social media channels and hashtags. The survey consists of 24 questions, including multiple choice, Likert type questions and open ended questions. The survey is based on a survey from 2019, with partial adjustments in the instruments, to which <a href="../records/4608091">the dataset is also available on Zenodo</a>. It is important to note that the participants of the survey are of the same target group, but it is not the same sample.</p> <p>Questions focused on the survey participants’ conduct of science communication, most frequent formats, goals and target groups but also on their experience with science communication evaluation and their perceptions of it. A detailed description of the variables and the coding can be found in the dataset. The survey was conducted in German and it should be noted that the original data is only available in German.</p> <p>Results of the study included more detailed information on sampling were published on the website of Wissenschaft im Dialog (WiD), the organization conducting the survey and can be found in<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunityBefragung2023.pdf"> German</a> and<a href="https://impactunit.de/wp-content/uploads/2024/04/WiD_ImpactUnit_CommunitySurvey2023.pdf"> English</a>.</p> <p> </p>
CN+: Vehicular Dataset at Traffic Light Regulated Intersection in Bremen, Germany
<p>Vehicular ad-Hoc Networks (VANETs) were created to reduce traffic accidents and enhance the safety of both passengers and other road users. In VANETs, vehicles communicate with nearby vehicles using V2V (vehicle-to-vehicle) communication links to improve awareness of their surroundings. Since their inception, considerable research has focused on developing cutting-edge algorithms to boost safety. However, testing these algorithms in real-world conditions is difficult due to high costs and various logistical challenges. Therefore, simulation-based testing is frequently used for VANET applications. Utilizing real datasets in simulations can significantly improve accuracy and yield realistic results. In this study, we introduce a dataset called 'CN+', which comprises data from over 25,000 vehicles collected over 32 hours at a signalized intersection in Bremen, Germany. The dataset is presented in two different formats: 1-CSV format and 2-SUMO converted format.</p>
FIGURE 1 in Petrodactyle wellnhoferi gen. et sp. nov.: A new and large ctenochasmatid pterosaur from the Late Jurassic of Germany
FIGURE 1. Photo of specimen LF 2809, a new large ctenochasmatid pterosaur. Scale bar is 10 cm.
FIGURE 2 in Trophic relationships in the Early Miocene Upper Marine Molasse of Baden-Württemberg, Southwest Germany, with special emphasis on the elasmobranch fauna
FIGURE 2. Map showing the fossiliferous localities studied herein.
360 Recording of downtown ULM Germany, with time aligned gps data
Open the record for dataset details and reuse information.
FIGURE 7. Probably a in New dragonflies and damselflies (Odonata) from the late Oligocene of Enspel (Rhineland-Palatinate, SW Germany)
FIGURE 7. Probably a stem-Libellulidae, PE 2001/5195-LS, hind wing. Scale bar is 10 mm.
Fig. 5 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 5 Rock pool in the granite river bed of the Murg
Dataset: Impact of HIV knowledge and stigma on the uptake of HIV testing - results from a community-based participatory research survey among migrants from sub-Saharan Africa in Germany
<p>Dataset for: Kuehne A, Koschollek C, Santos-Hövener C, Thorlie A, Müllerschön J, Tshibadi CM, Mayamba P, Batemona-Abeke H, Amoah S, Greiner VW, Bursi TD, Bremer V: Impact of HIV knowledge and stigma on the uptake of HIV testing - results from a community-based participatory research survey among migrants from sub-Saharan Africa in Germany.</p> <p>This dataset has been described in a PLoS One paper and contains all data necessary to replicate the results presented within this paper (10.1371/journal.pone.0194244). Please cite both the paper as well as the DOI of this dataset if you make use of the data.</p>
Sci-Hub downloads from Germany
<p>This dataset contains Sci-Hub downloads from Germany from September 2015 to February 2016 and January 2017 to December 2017, split by month. It comprises filtered data from publicly available datasets, including missing data that was provided by Sci-Hub in May 2018. [1] [2] [3]</p> <p>The ZIP-file contains 18 files of max. 25.5 MB.</p> <p> </p> <p>Column 1: date and time (YYYY-MM-DD hh:mm:ss)</p> <p>Column 2: DOI</p> <p>Column 3: City</p> <p> </p> <p> </p> <p>Dieser Datensatz enthält Sci-Hub Downloads aus Deutschland über den Zeitraum von September 2015 bis Februar 2016 und von Januar 2017 bis Dezember 2017, geteilt nach Monaten. Der Datensatz besteht aus gefilterten Daten von mehreren öffentlich zugänglichen Datensätzen, darunter fehlende Daten aus dem Jahr 2017, die von Sci-Hub im Mai 2018 nachgereicht wurden. [1] [2] [3]</p> <p>Die ZIP-Datei enthält 18 Dateien von maximal 25,5 MB.</p> <p> </p> <p>Spalte 1: Datum und Uhrzeit (JJJJ-MM-TT hh:mm:ss)</p> <p>Spalte 2: DOI</p> <p>Spalte 3: Stadt</p> <p> </p> <p> </p> <p>[1] Bohannon, J., & Elbakyan, A. (2016). Data from: Who’s downloading pirated papers? Everyone [Data set]. Dryad Digital Repository. <a href="https://doi.org/10.5061/dryad.q447c">https://doi.org/10.5061/dryad.q447c</a></p> <p>[2] Tzovaras, B. G. (2018). Sci-Hub Download Log Of 2017 [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.1158301">https://doi.org/10.5281/zenodo.1158301</a></p> <p>[3] https://twitter.com/Sci_Hub/status/996925449577037824</p>
CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Wave 1 Questionnaires: Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia – EXTRACT_Political passivity
<p>This dataset contains the data underlying the following publication: Dahl, V., Amnå, E., Banaji, S., Landberg, M., Šerek, J., Ribeiro, N., ... & Zani, B. (2017). Apathy or alienation? Political passivity among youths across eight European Union countries.European Journal of Developmental Psychology, 1-18, https://doi.org/10.1080/17405629.2017.1404985.</p>
CATCH-EyoU: Processes in Youth's Construction of Active EU Citizenship: Cross-national Wave 1 Questionnaires: Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia
<p>Abstract</p> <p>This work package (WP7) sets out to address open questions concerning factors associated with youth’s active EU citizenship. In particular, assumed (directions of) influences of relevant factors and their joint workings will be examined among adolescents and young adults in various situations of life, across different EU countries representing variations in, e.g., economic situation/crisis, political conditions, and history as an EU member state. This dataset presents the first wave of data collection. All teams collected data from a quite diverse sample of young people from their respective country.</p> <p>We achieved the targeted sample sizes due to our improved recruitment strategies (based on our experiences from the pilot assessment). More precisely, we could attract more than 10,400 young people to participate in our study (concrete numbers depend on sample selection). Since we initially set out to reach at least 6,400 young people, we were quite successful in our recruitment. Paper-and pencil as well as online modes of assessment proved to be equally effective.</p> <p>The data set integrates data resulting from the first submission wave (wave 1) of Catch-EyoU Questionnaire. The questionnaire was submitted to adolescents and young adults from Italy, Sweden, Germany, Greece, Portugal, Czech Republic, UK, and Estonia.</p> <p>Catch-EyoU Questionnaire was focused on attitudinal, identity, and behavioral aspects of European citizenship, on youth engagement and participation on the regional and national levels as well as on fostering and limiting conditions affecting these. Earlier research is far more restricted in terms of insights into identity and behavioral aspects of participation on the European level and relevant processes, as well as in terms of cross-national comparisons based on a substantial number of countries from different European regions.</p> <p>The data can be reused by researchers who want to compare our data with similar data collected at other points in historical time as well as in other countries than the eight European ones included. Likewise, stakeholders may be interested in reanalyzing our data particularly with a focus on descriptive survey-type information of European citizenship among youth across Europe.</p> <p>File specifics</p> <p>This final working dataset is a cleaned version of raw data. The cleaning procedure involved (1) removing participants who left the survey on first pages of the questionnaire; (2) removing participants with clearly unreliable responses (i.e. choosing the same response option through the questionnaire); (3) removing participants who indicated age under 14 or over 30 in both waves, or indicated age under 14 or over 30 in one wave and had a missing value on age in the other.</p> <p>Two filter variables based on participants’ age are present in the dataset:</p> <ul> <li>A_Filter_Age1 – selects participants who indicated age between 14-30 or did not indicate age at wave 1</li> <li>A_Filter_Age2 – selects participants who indicated age between 14-30 at wave 1</li> </ul> <p>Other technical variables refer to participants’ unique identification code (ID), country of data collection (Country), and cohort (Cohort; younger versus older). Please note that the cohort variable does not strictly refer to participants’ actual age, but it indicates whether he or she completed the questionnaire intended for adolescents (younger) or young adults (older).</p> <p>Data file is in a proprietary format (SPSS .sav format) but it can be opened through “R”, a free software environment for statistical computing and graphics, using different “R” libraries (such as “foreign”).</p>
Tree rings as a proxy for seasonal precipitation variability and Early Neolithic settlement dynamics in Bavaria, Germany
<p>The file contains original measurements of total ring width (TRW) of 540 subfossil oak trees from the Main region (southern Germany) spanning the period from 6228 to 4057 BCE (2172 years).</p> <p>Latitude: 49.6-50.2°N</p> <p>Longitude: 10.2-11.2°E</p> <p>Resolution of measurement: 0.01 mm</p> <p>File format: Tucson (.tuc)</p>
STI IN TIMES OF PREP: HIGH PREVALENCE OF CHLAMYDIA, GONORRHOEA, AND MYCOPLASMA AT DIF-FERENT ANATOMIC SITES IN MEN WHO HAVE SEX WITH MEN IN GERMANY
<p><strong>Background</strong>: Men who have sex with men (MSM) are disproportionally affected by sexually transmitted infections (STI). STI are often extragenital and asymptomatic. Both can delay diagnosis and treatment. HIV-positive (HIV+) MSM often show higher STI-prevalence than HIV-negative MSM (HIV-). Approval of HIV pre-exposure prophylaxis (PrEP) might have influenced sexual behaviour and STI-prevalence of HIV- MSM. We estimated STI-prevalence and risk factors amongst HIV- and HIV+ MSM in Germany to plan effective interventions.</p> <p><strong>Methods</strong>: We conducted a nationwide, cross-sectional study between 2/2018-7/2018. Thirteen MSM-friendly STI-practices screened MSM for <em>Chlamydia trachomatis (CT)</em>, <em>Mycoplasma genitalium</em> (MG), <em>Neisseria gonorrhea (NG)</em>, and <em>Trichomonas vaginalis</em> (TV) using self-collected rectal and pharyngeal swabs, and urine samples. APTIMA<sup>TM</sup> STI-assays (Hologic<sup>TM</sup> Inc., San Diego, USA) were used for diagnostics, and samples were not pooled. We collected information on socio-demographics, HIV-status, clinical symptoms, sexual behaviour within the last 6 months, and PrEP-use. We combined HIV status and PrEP use for defining risk groups, and used multivariate logistic regression to identify risk factors for STI.</p> <p><strong>Results</strong>: 2,303 MSM were included: 50.5% HIV+, median age 39 [18-79] years. Median number of male sex partners within the last six months was 5. Unprotected anal intercourse (active and/or passive, UAI) was reported by 73.2%, 43.5% use of party drugs. 78.9% had a STI history, 32.1% of STI+ MSM reported STI-related symptoms. 27.6% of HIV- MSM used PrEP.</p> <p>Overall STI-prevalence was 30,1%, and 25.0% in HIV-/PrEP- MSM (CT:7.2%; MG:14.2%; NG:7.4%; TV:0%), 40.3% in HIV-/PrEP+ MSM (CT:13.8%; MG:19.4%; NG:14.8%; TV:0.4%), and 30.8% in HIV+ MSM (CT:10.1%; MG:18.4%; NG:8.6%; TV:0.1%).</p> <p>Independent risk factors were HIV/PrEP-status (HIV-/PrEP+ OR:1.4; 95%-CI:1.0-2.0; HIV+ OR:1.5; 95%-CI:1.1-1.9), >5 sex partners (OR:1.5; 95%-CI:1.2-1.9), UAI (OR:1.9; 95%-CI:1.5-2.6), and use of party drugs (OR:1.5; 95%-CI:1.2-2.0).</p> <p><strong>Conclusions</strong>: We found a high STI-prevalence in MSM in Germany, especially in PrEP users, frequently being asymptomatic. Higher STI prevalence in PrEP users than in HIV+ MSM was partly explained by differences in risk behaviour. As a relevant proportion of PrEP users will not use a condom, counselling and comprehensive STI screening is essential and should be low threshold and preferably free of cost. Counselling of PrEP users should also address use of party drugs.</p>
Digital Attachment for the PhD Thesis by Alexander Roesner, submitted October 2019 at University of Bremen, Germany.
<p>Thesis Title: Nankai Trough fault slip behavior analyzed in-situ and in shear experiments</p> <p>Supplementary Tables Manuscript I & II: Supplementary tables for the first and second manuscript published in the Ph.D. thesis by Alexander Rösner at the University of Bremen. Tables summarize velocity step forward and inversion model results. Moreover, peak and steady state friction are presented.</p> <p> </p>
Out of the blue: Detection of a unique highly pathogenic avian influenza virus of subtype H7N5 in Germany: Data sets on phylogenetic analyses
<div> <p><span>In June 2024, a highly pathogenic avian influenza virus of subtype H7N5 was detected in a single laying hen holding in Germany. Closest relatives of the eight viral genome segments were among recent low pathogenic (LP) viruses from Asia and Europe. No further detections of this unique virus or its presumed LP precursor have been made in poultry or wild birds.</span></p> </div>
Fig. 3 in Velociraptorine dromaeosaurid teeth from the Kimmeridgian (Late Jurassic) of Germany
Fig. 3. Sketch of crown− and crown−base−measurements (modified after Smith et al. 2005).
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.