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◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West) in Bumps on the back: An unusual morphology in phylogenetically distinct Peridinium aff. cinctum (= Peridinium tuberosum; Peridiniales, Dinophyceae)
◂Fig. 6 A molecular phylogeny of 56 systematically representative Peridiniaceae, including 42 accessions assignable to P. cinctum from various geographic regions. Maximum likelihood tree (– ln = 21,884.93), as inferred from a rRNA nucleotide alignment (1137 parsimony-informative sites) and with strain number information. Numbers on branches are ML bootstrap (above) and Bayesian support values (below) for the clusters (asterisks indicate maximal support values, values under 50 and 0.90, respectively, are not shown). Clades are indicated (CZE Czech Republic, E East, GER Germany, HET Heterocapsaceae, N North, PPE Protoperidiniaceae, POL Poland, rbn ribotype n, S South, SWE Sweden, UKR Ukraine, W West)
Fig. 3 Species diagnostic internal transcribed spacer 2 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 3 Species diagnostic internal transcribed spacer 2 (ITS2) fragments from all An. petragnani (367 bp) and some An. claviger s.s. (269 bp) individuals found during this study (M, Quantitas DNA Marker 100 bp–1 kb, Biozym; lanes 1–5, An. petragnani; lanes 6–10, An. claviger s.s.; − negative control)
Fig. 4 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 4 Alignment of the An. petragnani consensus sequence obtained during this study with the An. petragnani consensus sequence published under AY129233.1 in GenBank
Fig. 1 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 1 Map of Baden-Wuerttemberg, Germany. The red dots indicate the trapping sites at the river Murg in the Black Forest (Raumünzach) and in the flood plains of the river Rhine (Neuried)
Fig. 2 in Anopheles (Anopheles) petragnani Del Vecchio 1939-a new mosquito species for Germany
Fig. 2 Diagnostic setae of An. claviger s.l. larvae. a Postclypeal setae of An. petragnani. b Postclypeal setae of An. claviger s.s. c Antepalmate setae of abdominal segments IV and V of An. petragnani. d Antepalmate setae of abdominal segments IV and V of An. claviger s.s.
Flood Classification Dataset from the River Wupper in Germany
<h1>Flood Classification Dataset from the River Wupper in Germany</h1> <p>This dataset contains sensor measurements of water levels and rainfall amounts around the river <em>Wupper</em> region and the city of <em>Wuppertal</em> in North Rhine-Westphalia Germany. The dataset shows data over 19 years and from 10 different sensors. The data is sampled to one data point every 30 minutes.</p> <p>The water level measurements are given in [cm] and show 2 different measuring locations: The first is a river water level in the inner city of <em>Wuppertal</em>, called <em>Kluserbrücke</em> (Abbrev.: WL KLU), the second is the water level of the biggest dam, positioned upstream to WL KLU, called <em>Krebsöge </em>(Abbrev.:WL KRE). If the water levels exceeds 125 cm at WL KLU, local authorities would issue a warning as the water level is dangerously high from then on.</p> <p>The rain measurements are given in [mm] and as there is one datapoint given for every 30 minutes, indicates the amount of rain in millimeters fallen in the last 30 minutes. All abbreviations for precipitation sensors carry the prefix <em>Prec</em> and are followed by a name indicating the specific sensor location.</p> <p> </p> <h2>File Structure</h2> <p>The data is split up into train/validation/test and a cross validation datasets. The File is named in this manner:</p> <ul> <li>HWS-<strong>{d}</strong>-<strong>{k}</strong>_multi_label.csv <p>Where:</p> <ul> <li><strong>{d}</strong> indicates the dataset purpose: {TRAIN, VAL, TEST}</li> <li><strong>{k}</strong> indicates the cross-validation fold.</li> </ul> </li> </ul> <h2><br>Source</h2> <p>This dataset is based on data from the Wupperverband (<a title="Wupperverband" href="https://www.wupperverband.de/startseite" target="_blank" rel="noopener">https://www.wupperverband.de/startseite</a>) and the open data platform of the Deutscher Wetterdienst (DWD) (<a title="Opendata DWD" href="https://opendata.dwd.de/" target="_blank" rel="noopener">https://opendata.dwd.de/</a>).</p>
Crimes in Germany 1976 - 2016
<p>This dataset got published by the statistical federal office of germany and contains the crimes from 1976 - 2016 grouped by type.</p> <p><a href="https://www-genesis.destatis.de/genesis/online/logon?sequenz=tabelleErgebnis&selectionname=24311-0001&sachmerkmal=ALT118&sachschluessel=ALT014B18">Dataset</a></p> <p>The header and footer of the file have been removed for processing the data more easily.</p>
A 10 Hz irradiance dataset from Oldenburg, Germany
<p><strong>Abstract.</strong> Three EKO ML-01 photodiode pyranometers are continually recording 0.1 s global horizontal irradiance samples as part of an in-house weather observation system of the Oldenburg Energy Meteorology Group. The sensors are mounted level on a university building rooftop with inter-sensor distances of about 15 m. A bi-weekly maintenance schedule allows for frequent verification of the horizontal orientation and cleaning of the glass dome. The measurement quality was verified manually using additional measurements from a well-established co-located thermopile pyranometer. Here, we publish more than one and a half years worth of data collected between May 1, 2015 and December 31, 2016.</p>
Reconstruction of hydroclimate variability, Linearbandkeramik (LBK), Main region, Germany
<p>The file contains the reconstruction of hydroclimate variability (z-score) for the Main region (southern Germany) from 5700-4800 BCE as inferred from oak tree rings.</p> <p>Columns are semicolon separated.</p> <p>First column: Year BCE</p> <p>Second column: Hydroclimate variability (z-score)</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
<p>The dataset was generated within the research project Constructing AcTive CitizensHip with European Youth: Policies, Practices, Challenges and Solutions (CATCH-EyoU) funded by European Union, Horizon 2020 Programme - Grant Agreement No 649538 <a href="http://www.catcheyou.eu/">http://www.catcheyou.eu/</a>. </p> <p>The data set consists of:</p> <ul> <li>1 data file saved in .sav format</li> </ul> <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.sav”</p> <ul> <li>1 README file</li> </ul> <p>The file was generated through IBM SPSS software. Discrete missing values: 88, 99. The .sav file (SPSS) can be processed using “R” (library “foreign”): <a href="https://cran.r-project.orgv/">https://cran.r-project.org</a></p> <p>This dataset relates to following paper: </p> <p>Ekaterina Enchikova, Tiago Neves, Sam Mejias, Veronika Kalmus, Elvira Cicognani, Pedro Ferreira (2019) Civic and Political Participation of European Youth: fair measurement in different cultural and social contexts. Frontiers in Education.</p> <p>Data Set Contact Person: Ekaterina Enchikova [UP-CIIE]; mail: enchicova@gmail.com </p> <p>Data Set License: this data set is distributed under a Creative Commons Attribution (CC-BY) <a href="http://creativecommons.org/licenses">http://creativecommons.org/licenses</a></p> <p> </p>
A rainfall data inter-comparison dataset for Germany
<p>The rainfall data inter-comparison dataset is a collection of precipitation statistics calculated from the hourly nationwide German radar climatology (RADKLIM) and radar online adjustment (RADOLAN) composites provided by the German Weather Service (Deutscher Wetterdienst, DWD), which were combined with rainfall statistics derived from rain gauge data for inter-comparison. Moreover, additional information on parameters that can potentially influence radar data quality, such as the height above sea level, information on wind energy plants and the distance to the next radar station, were included in the dataset.</p> <p>The dataset consists of two point shapefiles which are readable with all common GIS. It constitutes a spatially highly resolved rainfall statistics geodataset for the period 2006 - 2017, which can be used for statistical rainfall analyses or for the derivation of model inputs. Furthermore, this data collection has the potential to benefit all users who intend to use precipitation data for any purpose in Germany and to identify the rainfall dataset that is best suited for their application by a straightforward comparison of three rainfall datasets without any tedious data processing and georeferencing.</p> <ul> <li>Spatial extent: Germany</li> <li>Spatial Resolution: 1 x 1 km</li> <li>Time period: 2006 - 2017</li> <li>Data Format: Two point shapefiles</li> <li>Compared precipitation datasets: RADKLIM, RADOLAN, rain gauge data</li> <li>Selection of calculated precipitation statistics: <ul> <li>Annual precipitation sum</li> <li>Mean annual precipitation sum</li> <li>Mean seasonal precipitation sums</li> <li>Number of days exceeding a daily precipitation of 1 mm</li> <li>Number of days exceeding a daily precipitation of 20 mm</li> <li>Mean daily precipitation sum of all days exceeding a precipitation sum of 1 mm</li> <li>Mean daily precipitation sum of all days exceeding a precipitation sum of 20 mm</li> <li>Number of NoData entries</li> </ul> </li> </ul> <p>An Excel file with detailed information on all parameters and on original data sources is also included in the dataset.</p> <p>Original data source URLs:</p> <ul> <li>RADKLIM (DWD): https://opendata.dwd.de/climate_environment/CDC/grids_germany/hourly/radolan/reproc/2017_002/bin/</li> <li>RADOLAN (DWD): ftp://ftp-cdc.dwd.de/pub/CDC/grids_germany/hourly/radolan/historical/bin/</li> <li>Rain Gauge Data (DWD): https://opendata.dwd.de/climate_environment/CDC/observations_ germany/climate/1_minute/precipitation/</li> <li>Location of wind energy plants (UFZ): https://www.ufz.de/record/dmp/archive/5467/de/</li> <li>SRTM DEM (DLR): https://geoservice.dlr.de/egp/</li> </ul>
Data set supporting journal article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019
<p>This data set contains evapotranspiration data obtained by a conventional eddy covariance set-up and a low-cost eddy covariance set-up as described in the research article: Markwitz, C. and Siebicke, L.: "Low-cost eddy covariance: a case study of evapotranspiration over agroforestry in Germany", Atmos. Meas. Tech., 2019.</p> <p>The data set contains all necessary data needed to replicate figures and analysis presented in the research article. The data sets are sorted and named according to the figure the data were used for. </p>
ENERGISE LIVING LAB COUNTRY REPORT – GERMANY
<p>The German ENERGISE living labs were rolled out by the LMU ENERGISE team to 40 participant households over the course of eight months from August 2018 to April 2019 in the Oberland region of Bavaria. During that time, over the course of a number of interviews and surveys households in and around the towns of Weilheim (ELL1) and Murnau (ELL2) were asked to do a thorough examination of their practices in the areas of heating and laundry with a specific focus on trying to encourage households to reduce the energy use associated with those practices by means of finding sufficiency focused strategies to enable them to heat less and launder less.</p>
Subgenus Lestes (15-28). L. sponsa: 15. Left side of head of ♂ showing ridge behind antennal cavity; 16. pterostigma of right forewing; 17-18. anal appendages dorsally and from left; 19. prophallus; 20. terminal segments and ovipositor sheath and vulvar scale at its base (all Germany except prophallus from Japan). L. barbarus (Morocco): 21. right anal appendages from above; 22. prophallus. L. dryas (California): 23. anal appendages dorsally, 24. prophallus. L. macrostigma (Turkey): 25, 26. the same. L. virens (Germany): 27, 28. the same. f = flange, hd = hood, li = ligula, sc = scoop, sh = shelf. in A revision of African Lestidae (Odonata) (excerpt)
Subgenus Lestes (15-28). L. sponsa: 15. Left side of head of ♂ showing ridge behind antennal cavity; 16. pterostigma of right forewing; 17-18. anal appendages dorsally and from left; 19. prophallus; 20. terminal segments and ovipositor sheath and vulvar scale at its base (all Germany except prophallus from Japan). L. barbarus (Morocco): 21. right anal appendages from above; 22. prophallus. L. dryas (California): 23. anal appendages dorsally, 24. prophallus. L. macrostigma (Turkey): 25, 26. the same. L. virens (Germany): 27, 28. the same. f = flange, hd = hood, li = ligula, sc = scoop, sh = shelf.
Text-fig. 1. Debeya (Dewalquea) haldemiana (DEBEY ex SAPORTA et MARION 1873) HALAMSKI 2013. Lectotype MGUWr 7536p; Haldem, Westphalia, Germany; Campanian. Scale bars 10 mm. A. General view of the specimen. B. Enlargement of the acuminate apex of a leaflet. C. Enlargement of the basal part with the petiole and the petiolules. D, E, F, G. Enlargements of the venation. in The Type Specimen Of Debeya (Dewalquea) Haldemiana Rediscovered
Text-fig. 1. Debeya (Dewalquea) haldemiana (DEBEY ex SAPORTA et MARION 1873) HALAMSKI 2013. Lectotype MGUWr 7536p; Haldem, Westphalia, Germany; Campanian. Scale bars 10 mm. A. General view of the specimen. B. Enlargement of the acuminate apex of a leaflet. C. Enlargement of the basal part with the petiole and the petiolules. D, E, F, G. Enlargements of the venation.
Figures 12-16. 12 in The types of Calyptratae (Diptera) preserved in the Museum fϋr Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany, collected from Indian Sub continent
Figures 12-16. 12. Mydaea morose Stein Holotype and Original labels, 13(a&b). Pygophora tricincta Enderlein Type and Original labels, 14(a&b). Chrysomyia nigripes Aubertin Paratype and labels, 15(a,b&c). Lipoptena efovea Speiser Type and Original labels, 16(a&b). Gasterophilus elephantis Cobbold Paratype and labels.
Figures 6b-11. 6b in The types of Calyptratae (Diptera) preserved in the Museum fϋr Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany, collected from Indian Sub continent
Figures 6b-11. 6b.Dichaetomyia splendida (Stein) Holotype with labels 7 (a&b). Limnophora tinctipennis Stein Syntypes and labels, 8. Lispa mirabilis Stein Original type and Syntype labels, 9(a&b). Lispa sericipalpis Stein Holotype and Original labels, 10. Lispocephala tinctipennis (Stein) Original and Syntype labels, 11. Mydaea attenta Stein Holotype Original labels.
Figures 1-6. 1. Coenosia angustifrons Stein Type with labels, 2a. Coenosia capitulate Stein Syntype, 2b. Original plus Syntype labels, 3 in The types of Calyptratae (Diptera) preserved in the Museum fϋr Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin, Germany, collected from Indian Sub continent
Figures 1-6. 1. Coenosia angustifrons Stein Type with labels, 2a. Coenosia capitulate Stein Syntype, 2b. Original plus Syntype labels, 3(a&b). Coenosia ceylonica Enderlein Type and Paratype labels, 4. Coenosia indica Enderlein Original and Type labels, 5. Mydaea pallens Stein Original and Paralectotype labels, 6a. Dichaetomyia splendida (Stein) Holotype with labels.
Text-fig. 2. a–b, figures published by von Sternberg (1829a–c: fig. 4a, b) showing a tooth of Buffonites undulatus from Lysá nad Labem (the Czech Republic). a, occlusal view. b, posterior view. In the original plate, these figures have a width of 26 mm. c–d, Buffonites knorrii STERNBERG, 1829. c, figure published by von Sternberg (1829a–c: fig. 5) showing a tooth from Lysá nad Labem. In the original plate, this figure has a width of 18 mm. d, figure published by Knorr and Walch (1769: pl. H.I.a, fig. 5, 1775: pl. H.I.a, fig. 5) showing a tooth from Quedlinburg, Saxonia-Anhalt, Germany. In the original plate, this figure has a width of 18 mm. in Senior Synonyms Of Ptychodus Latissimus Agassiz, 1835 And Ptychodus Mammillaris Agassiz, 1835 (Elasmobranchii) Based On Teeth From The Bohemian Cretaceous Basin (The Czech Republic)
Text-fig. 2. a–b, figures published by von Sternberg (1829a–c: fig. 4a, b) showing a tooth of Buffonites undulatus from Lysá nad Labem (the Czech Republic). a, occlusal view. b, posterior view. In the original plate, these figures have a width of 26 mm. c–d, Buffonites knorrii STERNBERG, 1829. c, figure published by von Sternberg (1829a–c: fig. 5) showing a tooth from Lysá nad Labem. In the original plate, this figure has a width of 18 mm. d, figure published by Knorr and Walch (1769: pl. H.I.a, fig. 5, 1775: pl. H.I.a, fig. 5) showing a tooth from Quedlinburg, Saxonia-Anhalt, Germany. In the original plate, this figure has a width of 18 mm.
Fig. 3 in The oldest "intermetamorphic" larva of an achelatan lobster from the Lower Jurassic Posidonia Shale, South Germany
Fig. 3. Size comparison of different non-phyllosoma type achelatan larvae. All specimens as idealised restorations. The light grey areas represent body parts not being preserved, but inferred. A. Polzicaris sahelalmae (based on Haug et al. 2013a). B. SMNS 70449. C. "Palinurina" tenera, earliest (C1) and largest (C2) known stage (based on Haug and Haug 2016). D. Cancrinos claviger, earlier larva still possessing exopods (D1), later larva with exopods already absent (D2), possible juvenile, yet without triangular sternum (D3) (D1, D2, based on Haug et al. 2013a; D3, based on Haug and Haug 2015).
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.