Find research datasets worth reusing

opencc-by-4.0Jun 2021View details →

Dataset: Import options for chemical energy carriers from renewable sources to Germany

This dataset contains results and additional data related to the publication "Import options for chemical energy carriers from renewable sources to Germany". Files containing major results / important cost input data: <ul> <li>results.csv: Contains major model results for all scenarios as CSV file (seperator is ';', all fields are quotes using double quotation marks '"'). Can be explored using standard software like Excel/Libre Office or other tools.</li> <li>costs.zip: Technology specific input cost assumption for 2030, 2040 and 2050.</li> </ul> The dataset further contains the following archives related to the model structure as contained in the software repository (GitHub): <ul> <li>config.zip: File contents of the config/ folder of the model directory. Configuration files for running the model used by the publication.</li> <li>data.zip: File contents of the data/ folder of the model directory. Includes distance specifications, conversion efficiencies, details on shipping transport. Also contains (with this version) the cost data (same as in costs.zip).</li> <li>resources.zip: Some file contents of the resources/ folder of the model directory. Most files in this folder are automatically recreated if the Snakemake workflow is executed. The files in this archive are the files created by GlobalEnergyGIS (RES supply time-series and demand data for investigated regions) which is difficult to setup and are thus provided here as an optional dataset for download.</li> <li>results.zip: Optimised energy system models (<a href="https://pypsa.readthedocs.io/en/latest/">PyPSA</a> networks, for PyPSA version v0.19.3) for all scenarios (default 10% WACC, optimistic 5% WACC, scenarios for sensitivity analysis), energy supply chains (ESCs) and exporting countries. For each network an additional results.csv exists containing a number of key results extracted from each network. Also contains the combined results.csv file as results/results.csv for all scenario runs.</li> </ul>

opencc-by-4.0Feb 2023View details →

Ultrafine particle number concentration observations perpendicular to a main street in Berlin, Germany, in summer 2017

The data set was recorded in summer 2017 in Berlin, Germany. It was the basis of the paper: Fritz, S., Schubert, S., and Schneider, C. (2021). Measurements of spatial variability of sub-micron particle number concentrations perpendicular to a main road in a built-up area. metz. 30, 315–331. doi:10.1127/metz/2021/1058 The measurement setup, study site, and devices used are described more detailed in the paper. The data sets uploaded include observations of particle number concentrations, wind direction and wind speed at ground level as well as traffic count data. The time stamp is in local time for Berlin/Germany. The data sets: coordinates.csv contains the coordinates of the measurement points used in file obs_pnc_wind. The column ‘distance’ links these two files. The values in the column ‘distance’ are the distance from the curb of the main road. The distance ‘-10’ represents the measurement point on the central strip of the main road. The two columns ‘latitude’ and ‘longitude’ provide the coordinates of the measurement points. obs_pnc_wind contains the observation data for particle number concentration (PNC), wind speed, and wind direction. PNC was recorded in #/cm³ with a TSI 3007 CPC at a 1-second resolution. Wind speed `ws’ [m/s] was recorded with a KESTREL 5000 with a 2-second resolution. Wind direction ‘wdir’ [°] was manually recorded as the most prominent wind direction within the 3-minute measurements per measurement point in angles of 10°. Wind direction was changed to NA (wdir_comment > 0), if it could not be determined either due to too calm wind (wdir_comment = 1) or with continuously changing wind direction (wdir_comment = 2). Along the measurement route, sometimes additional sources occurred and were recorded in the variable ‘source_type’ at the time they passed by the measurement device. Variable ‘source_comment’ provides additional information about ‘source_type’ where necessary. traffic_count contains the vehicles counted on the main street (Straße des 17. Juni) for each of the 72 runs. It was calculated as [vehicles/hour] based on 5-minute traffic counts. During the traffic counts, we differentiated between smaller (light duty) vehicles (<3.5 t, cars, vans, motorcycles, scooters) and bigger (heavy duty) vehicles (> 3.5 t, trucks and busses).

opencc-by-4.0Feb 2023View details →

Supplementary dataset to publication: "Genomic insight into Campylobacter jejuni isolated from commercial turkey flocks in Germany using whole-genome sequencing analysis"

Campylobacter jejuni is a zoonotic bacterium of public health significance. The present investigation was designed to assess the epidemiology and genetic heterogeneity of Campylobacter jejuni recovered from commercial turkey farms in Germany using whole-genome sequencing. The Illumina MiSeq® technology was used to sequence 66 Campylobacter jejuni isolates obtained between 2010 and 2011 from commercial meat turkey flocks located in ten German federal states. Phenotypic antimicrobial resistance was determined. Phylogeny, resistome, plasmidome and virulome profiles were analyzed using whole-genome sequencing data. Genetic resistancemarkers were identified with bioinformatics tools (AMRFinder, ResFinder, NCBI and ABRicate) and compared with the phenotypic antimicrobial resistance.

opencc-by-2.0Mar 2023View details →

Perceived safety and attractiveness of city streets in Frankfurt, Germany: ratings and explanations

How safe or attractive do different people perceive streets to be and why? In this repository we share the data we collected and analysed for the paper "Is it safe to be attractive? Disentangling the influence of streetscape features on the perceived safety and attractiveness of city streets". The data contain ratings of perceived safety and attractiveness (using a 5-point Likert scale) coming from 403 participants who were asked to virtually navigate city streets in Frankfurt, Germany, through a sequence of street-level images. Moreover it contains their explanations of the ratings (in their own words). In total we have collected data for 753 locations. In particular: <ul> <li>7989 rating pairs of perceived safety and attractiveness</li> <li>19114 keywords used to explain the safety ratings</li> <li>18232 keywords used to explain the attractiveness ratings</li> </ul>

opencc-by-4.0Mar 2023View details →

Graph 6: Stagings of Heiner Müller's Plays in Germany (East and West).

Graph 6 shows the number of stagings of Heiner Müller’s plays in East and West Germany from 1957-1990.

opencc-by-4.0Mar 2023View details →

SARS-CoV-2 Infection and Clinical Signs in Cats and Dogs from Confirmed Positive Households in Germany

Supplemental material and raw data referring to specified publication

opencc-by-4.0Apr 2023View details →

Dataset (81 forest parcels) supplementing the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)"

The dataset about 81 small-scale private forest parcels contains the answer variables and predictors used in the publication "Owner attitudes and landscape parameters drive stand structure and valuable habitats in small-scale private forests of Lower Saxony (Germany)".

opencc-by-4.0Jul 2023View details →

Result data related to "Bersalli et al. (2024): Economic crises as critical junctures for policy and structural changes towards decarbonization – the cases of Spain and Germany"

Result data related to "Bersalli et al (2024): Economic crises as critical junctures for policy and structural changes towards decarbonization – the cases of Spain and Germany". The following files are included: <ul> <li>"Energy policy 2020-21 Germany-Spain.xlsx": Policy measures supporting clean energy during the Covid-19 pandemic in Germany and Spain. Data from <a href="http://energypolicytracker.org/">EnergyPolicyTracker.org</a>, amended by the authors.</li> <li> "factors.csv": Time series of emissions, population, GDP, energy intensity, and carbon intensity. Data derived from BP and Eurostat.</li> <li>"multiplicative-contribution-factors.csv": Time series of relative growth in the factors.</li> <li>"relative-cumulative-contribution-factors.csv": Time series of cumulative relative growth in the factors.</li> <li>"periods.csv": Relative growth in the factors during the global financial and COVID19 crises and before (pre) and after (post) the global financial crisis.</li> </ul>

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Entomological identification of the cadaver fauna of wolf and lynx carcasses in Germany between 2014-2021

The frequency of illegal killings of animals that are under special protection in Germany is continuously increasing. Especially the carnivores wolf and lynx are strongly threatened by humans. To counteract these developments, it is necessary to investigate and prosecute such offenses. An important clue for police investigations is the time of death of the deceased animal. Forensic entomology makes use of the knowledge of temperature-dependent development rates as well as succession patterns of necrophagous flies and beetles and to determine an approximate time of death. While the carcass fauna of other species as well as humans is well studied, the composition of insects on wolves and lynx worldwide has not yet been deciphered. The aim of this work is to investigate the carcass fauna of wolf and lynx. For this purpose, the species composition of insects from 70 wolf carcasses and 8 lynx carcasses was analysed with respect to different habitat types, decomposition stages, and seasons. This data set provides extensive knowledge of the arthropod fauna on wolf and lynx carcasses. The frequency of illegal killings of animals that are under special protection in Germany is continuously increasing. Especially the carnivores wolf and lynx are strongly threatened by humans. To counteract these developments, it is necessary to investigate and prosecute such offenses. An important clue for police investigations is the time of death of the deceased animal. Forensic entomology makes use of the knowledge of temperature-dependent development rates as well as succession patterns of necrophagous flies and beetles and to determine an approximate time of death. While the carcass fauna of other species as well as humans is well studied, the composition of insects on wolves and lynx worldwide has not yet been deciphered. The aim of this work is to investigate the carcass fauna of wolf and lynx. For this purpose, the species composition of insects from 70 wolf carcasses and 8 lynx carca

openCC0Jun 2022View details →

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Typology of agricultural land systems of Germany at a resolution of 100 hectares.

The decline of farmland biodiversity has widely been recognized in society and politics. Many factors that negatively affect biodiversity are associated with agriculture. European policy instruments and measures, which aimed at mitigating these impacts, have not been successful in counteracting the negative trends of farmland biodiversity. There is a growing recognition that conservation policy instruments need to be spatially targeted, given the heterogeneity of agricultural landscapes and extent of agricultural intensification in Europe. For Germany, we developed a typology of agricultural land systems (ALS) that captures the regional characteristics of agricultural intensification. For this purpose, we applied a cluster-analysis integrating indicators for land cover, landscape structure, land-use intensity, climate and relief at a resolution of with a spatial resolution of 1 km². As a result, we present a typology of eight ALS ranging from large-scale, intensive arable farming to extensive grassland/forest mosaics in mountains. The data included in this package contain the typology ALS and the corresponding values for the indicators for each hexagonal grid cell of 1 km²cell size. The typology of ALS could be used as a spatial framework for regional targeting of conservation policy instruments and for monitoring regional-specific trends of biodiversity indicators and their drivers. The data are supplement to the publication: Pingel, M; Sietz, D; Röder, N; Klimek, S and Golla, B. (2025) Typology of Agricultural Land Systems to Support Tailored Agri-Environmental Schemes for Farmland Biodiversity: A Case Study from Germany. [Preprint]. http://dx.doi.org/10.2139/ssrn.5162566.

openCC (other)Nov 2025View details →

edi44/100

Projected climate and canopy change lead to thermophilization and homogenization of forest floor vegetation in a hotspot of plant species richness, Berchtesgaden National Park, Bavaria, Germany

Mountain forests are plant diversity hotspots, but changing climate and increasing forest disturbances will likely lead to far-reaching plant community change. Projecting future change, however, is challenging for forest understory plants, which respond to forest structure and composition as well as climate. Here, we jointly assessed effects of both climate and forest change, including wind and bark beetle disturbances, using the process-based simulation model iLand in a protected landscape in the northern Alps (Berchtesgaden National Park, Germany), asking: (1) How do understory plant communities respond to 21st-century change in a topographically complex mountain landscape, representing a hotspot of plant species richness? (2) How important are climatic changes (i.e., direct climate effects) versus forest structure and composition changes (i.e., indirect climate effects and recovery from past land use) in driving understory responses at landscape scales? Stacked individual species distribution models fit with climate, forest, and soil predictors (248 species currently present in the landscape, derived from 150 field plots stratified by elevation and forest development, overall AUC = 0.86) were driven with projected climate (RCP4.5 and RCP8.5) and modeled forest variables to predict plant community change. Nearly all species persisted in the landscape in 2050, but on average 8% of the species pool was lost by the end of the century. By 2100, landscape mean species richness and understory cover declined (-13% and -8%, respectively), warm-adapted species increasingly dominated plant communities (i.e., thermophilization, +12%), and plot-level turnover was high (62%). Subalpine forests experienced the greatest richness declines (-16%), most thermophilization (+17%), and highest turnover (67%), resulting in plant community homogenization across elevation zones. Climate rather than forest change was the dominant driver of understory responses. The magnitude of unabated 2

openCC (other)Dec 2023View details →

opencc-by-4.0Jan 2020View details →

Dataset: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey.

Dataset for: Koschollek C, Kuehne A, Müllerschön J, Amoah S, Batemona-Abeke H, Dela Bursi T, Mayamba P, Thorlie A, Mputu Tshibadi C, Wangare Greiner V, Bremer V, Santos-Hövener C: Knowledge, information needs and behavior regarding HIV and sexually transmitted infections among migrants from sub-Saharan Africa living in Germany: Results of a participatory health research survey. 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.0227178). Please cite both the paper as well as the DOI of this dataset if you make use of the data.

FIG. 10 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 10. — Elder ungulatus (Münster, 1839). Specimen MNHN.F.A33549 under UV light. Scale bar: 1 cm. Photograph: L. Cazes.

FIG. 7 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 7. — Other Erymoidea from the Late Jurassic Solnhofen Lithographic Limestones (Bavaria, Germany): A-C, specimen MNHN.GG.2004/8245 of Palaeastacus fuciformis (Schlotheim, 1822) from Solnhofen: specimen in natural light (A), specimen in UV light (B) and line drawing (C); D, specimen MNHN.F.B13445 of Pustulina minuta (Schlotheim, 1822) from Solnhofen in UV light. Abbreviations: a1, antennule; a2, antenna; e, eye; Mxp3, third maxillipeds; P1-P5, periopods 1 to 5. Scale bars: A-C, 1 cm; D, 0.5 cm. Photographs: L. Cazes. Line drawing: J. Devillez.

FIG. 8 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 8. — Mecochirus longimanatus (Schlotheim, 1820): A, B, specimen MNHN.F.A33537; A, specimen in natural light; B, specimen in UV light; C, specimen MNHN.F.B13457; D-F, specimen MNHN.F.A70929; D, general view in UV light; E, view of the carapace in natural light; F, line drawing of the carapace; G, H, specimen MNHN.F.A33539; G, specimen in natural light; H, specimen in UV light. Abbreviations: ac, antennal carina; e1e, cervical groove; gc, gastro-orbital carina; oc, orbital carina. Scale bars: 1 cm. Photographs: L. Cazes. Line drawing: G.P. Odin.

FIG. 4 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 4. — Antrimpos undenarius Münster, 1839 from Nusplingen, housed at the MNHN: A, picture of the old label; B, C, specimen MNHN.F.A49615; B, natural light picture; C, line-drawing of the grooves; D, specimen MNHN.F.A49610; E, specimen MNHN.F.A49622; F, G, specimen MNHN.F.A49608; F, UV picture; G, line-drawing of the rostrum; H, specimen MNHN.F.A49624. Abbreviations: b, antennal groove; b1, hepatic groove; ct, cephalothorax; e1e, cervical groove; hs, hepatic spine; r, rostrum; rs, rostral spines; s1-s5, pleonal somites; ss, supraorbital spine. Scale bars: B-F, H, 1 cm; G, 2 cm. Photographs: L. Cazes (except A: G. P. Odin). Line drawing: G. P. Odin.

FIG. 5 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 5. — Antrimpos undenarius Münster, 1839 from Nusplingen, housed at the SMNS: A, specimen SMNS 80480; B, specimen SMNS 80481; C, specimen SMNS 80482; D, specimen SMNS 80483; E, specimen SMNS 24228; F, specimen SMNS 66122. Scale bars: A-F, 2 cm. Photographs: G. Schweigert.

FIG. 1. — A-C in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 1. — A-C, Aeger tipularius (Schlotheim, 1822), specimen MNHN.F.A33509 from Solnhofen; A, natural light; B, interpretation of the carapace grooves; C, UV light; D, Aeger spinipes (Desmarest, 1817), specimen MNHN.F.B13442 from Solnhofen; E, F, Aeger insignis Oppel, 1862, specimen MNHN.GG.2004/57291 from Solnhofen; E, natural light; F, UV light. Scale bars: A, C, 1 cm; B, D, 2 cm; E, 3 cm. Abbreviations: a, branchiocardiac groove; b, antennal groove; b1, hepatic groove; e1e, cervical groove. Photographs: L. Cazes. Line drawing: G.P. Odin.

FIG. 3 in On unreported historical specimens of marine arthropods from the Solnhofen and Nusplingen Lithographic Limestones (Late Jurassic, Germany) housed at the Muséum national d'Histoire naturelle, Paris

FIG. 3. — Antrimpos speciosus Münster, 1839: A-C, specimen MNHN.F.A33504 from Eichstätt: A, visible light; B, UV light; C, line drawing of the specimen; D, E, specimen CM-33420 likely coming from Solnhofen (Robalino et al. 2016); D, visible light; E, interpretation of the carapace; F, specimen from Solnhofen (illustrated in Schweigert 2015: fig. 568; private collection of Roger Frattigiani); G, H, specimen MNHN.F.A33519 from Solnhofen; G, full view of the specimen; H, close-up of muscle fibers. Abbreviations: a, branchiocardiac groove; a2, antenna; b, antennal groove; b1, hepatic groove; e1e, cervical groove; egs, epigastric spine; hs, hepatic spine; r, rostrum; rs, rostral spines; sc, scaphocerite; ss, supraorbital spine; Grey line of drawing, hypothesized delimitation. Photographs: L. Cazes (except D: M. McNaugher and F: G. Schweigert). Line drawings: G.P. Odin. Scale bars: A-C, F, G: 2 cm; D, E, H, 1 cm.