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Fig. 1 in Species distribution and assemblages of centipedes (Chilopoda) in open xeric sites of Saxony-Anhalt (Germany)
Fig. 1. Locations of study sites. Abbr.: xeric meadows (XM) – FW, Fscha, KK 1, AA, AT, Bi 1, CH 2, EP, SH, BH, Ha 5; mesoxeric meadows (SMM) – Bi 2, Zy, Ha 1, ha 2, ha 3, MTha, ZHei, SBe, SoTr 2, Rü 1, Rü 2, Rü 3, Kö 3, UF 2, UF 3, UF 4, NG, NBG, SBG, TT 1, TT 2; grasslands contaminated by heavy metal (HMG) – Eck 1, Eck 2, Wi, Wo; draw shrub heaths (DSH) – FK 2, FK 3, KB, CH 1, Ha 6, Kö 1, Kö 2, UF 1; advanced succession sites (ASS) – SoGZ 1, SoGO 3, SoGU 4, SoVW 5, Ha 4.
Results: Modeling the impact of the Omicron infection wave in Germany
<pre>Results: Modeling the impact of the Omicron infection wave in Germany This repository contains results of a modeling study regarding the spread of SARS-CoV-2 VOC "Omicron" in Germany. ## Columns and values | column name | type | description EN | description DE | | -- | -- | -- | -- | | `infectious_period_both` | int | Mean infectious period (in days) for both variants | Mittlere Infektiositaetsperiode fuer beide Varianten (in Tagen) | | `omicron_latent_period` | int | Mean latent period of VOC Omicron (in days) | Mittlere Latenzzeit der VOC Omikron (in Tagen) | | `booster_reach` | str | Reach of the booster campaign | Reichweite der Auffrischkampagne | | `booster_VE` | str | Vaccine efficacy of the booster vaccination | Impfeffektivitaet der Auffrischimpfung | | `contact_reduction_scenario_id` | int | ID of the contact reduction scenario | ID des Kontaktreduktionsszenarios | | `contact_reduction_strength` | float | prefactor with which the contact modulation f(t) is multiplied | Vorfaktor, mit der die Kontaktmodulation f(t) waehrend der Kontaktreduktionsperiode skaliert wird | | `contact_reduction_start` | date (ISO 8601) | Date when contact reduction begins | Beginn der Kontaktreduktion | | `contact_reduction_end` | date (ISO 8601) | Date when contact reduction ends | Ende der Kontaktreduktion | | `relative_risk_hospitalization` | float | Relative risk (RR) of hospitalization after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Hospitalisierung nach Infektion mit Omicron gegenueber Infektion mit Delta | | `relative_risk_icu` | float | Relative risk (RR) of ICU admission after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Intensivpflichtigkeit nach Infektion mit Omicron gegenueber Infektion mit Delta | | `value_type` | str | Wich value is shown in the `value` column | Art des Wertes in der Spalte `value` | | `date` | date (ISO 8601) | Date associated with the modeling result given in column `value` | Datum assoziiert mit dem Modellergebnis des Wertes in der Spalte `value` | | `value` | int | Model result (rounded to nearest integer) | Modellergebnis (gerundet auf ganze Zahl) | Additional columns regarding combinations of plausible scenarios (rounded to nearest integer) and 180 stochastic simulations per parameter combination: | column name | type | description EN | description DE | | -- | -- | -- | -- | | `95_PI_lower` | int | 95% PI lower bound (rounded to nearest integer) | Untere Schranke des 95% PIs (gerundet auf ganze Zahl) | | `50_PI_lower` | int | 50% PI lower bound (rounded to nearest integer) | Untere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `median` | int | median (rounded to nearest integer) | Median (gerundet auf ganze Zahl) | | `50_PI_upper` | int | 50% PI upper bound (rounded to nearest integer) | Obere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `95_PI_upper` | int | 95% PI upper bound (rounded to nearest integer) | Obere Schranke des 95% PIs (gerundet auf ganze Zahl) | ### Values: `booster_reach` | value | description EN | description DE | | -- | -- | -- | | `md` | medium booster campaign reach (80% of those that received full vaccination in 2021 receive booster vaccination) | Medium, 80% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi` | high booster campaign reach (100% of those that received full vaccination in 2021 receive booster vaccination) | Hoch, 100% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi-and-90perc-2dose` | 100% receive booster vaccination and vaccine uptake of first immunization suddenly increases to 90% in Jan 2022 | 100% erhalten Auffrischimpfung und Impfquote der Erstimmunisierung erreicht schnell 90% im Januar 2022 | ### Values: `booster_VE` | value | description EN | description DE | | -- | -- | -- | | `lo` | low booster vaccine efficacy (assumption: booster protects as well against infection as 2nd dose) | Niedrige Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie 2 Dosen) | | `hi` | high booster vaccine efficacy (assumption: booster protects as well against infection as against symptomatic disease) | Hohe Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie vor symptomatischer Erkrankung) | ### Values: `value_type` | value | description EN | description DE | | -- | -- | -- | | `inc` | incidence (absolute number of new reported cases per day) | Inzidenz (Zahl der gemeldeten Neuinfektion an diesem Tag, absolut) | | `hsp` | hospitalization incidence (absolute number of new hospital admissions per day) | Hospitalisierungsinzidenz (Zahl der gemeldeten Neuhospitalisierungen an diesem Tag, absolut) | | `icu` | total number of patients in ICUs | Gesamtzahl der intensivpflichtigen Patient:innen | ## License Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).</pre>
Dataset Graph 6: Stagings of Heiner Müller's Plays in Germany (East and West).
<p>Dataset for Graph 6. Data collected based on Ludwig, Janine. Heiner Müller, Ikone West: Das dramatische Werk Heiner Müllers in der Bundesrepublik; Rezeption und Wirkung. Frankfurt am Main: Lang, 2009, 53–4.</p> <p>Graph 6 shows the number of stagings of Heiner Müller’s plays in East and West Germany from 1957-1990.</p>
FIG. 8. — A in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 8. — A, Blackia miocaenica Mein, 1970 from Hambach 11C, IPB-HaR-5636, left M3; B-K, Pliopetaurista pliocenica from Hambach 11C: B, IPB- HaR-5614, right m1/2; C, IPB- HaR-5625 left m1/2; D, IPB- HaR-5627, right m1/2; E, left m3; F, IPB-HaR-5629, right P4; G, IPB- HaR-5631, left P4; H, IPB- HaR-5632, left M1/2; I, IPB- HaR-5634, right M1/2; J, IPB- HaR-5633, left M1/2; K, IPB- HaR-5635, left M1/2. All the teeth are shown as left teeth, the teeth that have been mirrored are indicated by underlined letters. Scale bar: 1 mm.
FIG. 9. — A in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 9. — A, Size comparison of Pliopetaurista pliocaenica (Depéret, 1897) M1/2 from Hambach 11C with other published specimens. Black & Kowalski (1974): Pliopetaurista dehneli Sulimski, 1964, Pliopetaurista meini Black & Kowalski 1974, Pliopetaurista cf. pliocaenica (Depéret, 1897); Daxner-HÖck (1975): Pliopetaurista bressana Mein, 1970; Dahlmann (2001): P. pliocaenica, Pliopetaurista raui Dahlmann, 2001; Daxner-HÖck (2004): P. bressana, Pliopetaurista kollmanni Daxner-HÖck, 2004; de Bruijn (1995): P. dehneli Sulimski, 1964; Fejfar & Storch (1990): P. pliocaenica; Gárcia-Alix et al. (2007): P. pliocaenica, P. cf. pliocaenica; Vasileiadou et al. (2012): P. dehneli. In red are our specimens from Hambach 11C, in green the P. pliocaenica specimens and in blue the P. cf. pliocaenica. B, Size comparison of Pliopetaurista pliocaenica m1/2 from Hambach 11C with other published specimens. Black & Kowalski (1974): Pliopetaurista meini; Dahlmann (2001): P. pliocaenica; Daxner-HÖck (1975): Pliopetaurista bressana; Daxner-HÖck (2004): P. bressana, Pliopetaurista kollmanni; de Bruijn (1995): P. dehneli; Colombero & Carnevale (2016): P. pliocaenica; Mansino et al. (2018): P. pliocaenica; MÖrs et al. (1998): P. pliocaenica. In red are our specimens from Hambach 11C, in green the P. pliocaenica specimens and in blue the Pliopetaurista cf. pliocaenica.
FIG. 5 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 5. — Trogontherium minus Newton, 1890 from Hambach 11C: A, IPB-HaR-5654, labial view of an incisor fragment; B, IPB-HaR-5650, left dp4 labial, occlusal, and lingual views; C, IPB-HaR-5643, upper right jaw fragment with teeth P4 to M2 labial view; D, IPB-HaR-5643, occlusal view; E, IPB-HaR-5643, lingual view; F, IPB-HaR-5645, left P4 labial, occlusal, and lingual views; G, IPB-HaR-5649, right P4 labial, occlusal, and lingual views. All teeth are figured as left teeth, an underlined letter indicates a right tooth. Scale bar: 2 mm.
FIG. 7 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 7. — Size comparison of our specimens with different species. Trogontherium minus Newton, 1890 from Czernielewski 2022, Hugueney et al. 1989 and Newton 1890. Trogontherium cuvieri Owen, 1846 from Fostowicz-Frelik 2008 and Langeveld 2013. Trogontherium (Euroxenomys) minutum (von Meyer, 1838) from Stefen & Rummel 2003.
FIG. 6 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 6. — Trogontherium minus Newton, 1890 from Hambach 11C: A, IPB-HaR-5646, left M1/2 labial, occlusal, and lingual views; B, IPB-HaR-5647, left M1/2 labial, occlusal, and lingual views; C, IPB-HaR-5652, right M1/2 labial, occlusal, and lingual views; D, IPB-HaR-5644, upper right M3 occlusal, labial and lingual views; E, IPB-HaR-5648, left M3 labial, occlusal, and lingual views; F, IPB-HaR-5651, right M3 labial, occlusal, and lingual views. All teeth are figured as left teeth, an underlined letter indicates a right tooth. Scale bar: 2 mm.
FIG. 4 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 4. — Trogontherium minus Newton, 1890 from Hambach 11C, IPB-HaR-5642, left jaw with i to m2: A, labial view; B, occlusal view; C, lingual view. Scale bar: 1 cm.
FIG. 3 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 3. — Castor fiber Linnaeus, 1758 from Hambach 11C: A, IPB-HaR-5653, incisor fragment labial view and section; B, IPB-HaR-5641, left m1/2 labial, occlusal and lingual views; C, IPB-HaR-5637, left P4 in maxillary fragment, labial, occlusal, and lingual views; D, IPB-HaR-5640, left, P4 labial, occlusal, and lingual views; E, IPB-HaR-5639, left M1/2, labial, occlusal, and lingual views; F, IPB-HaR-5638, left M1/2 labial, occlusal, and lingual views. Scale bar: 2 mm.
FIG. 1. — A in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11C, Germany
FIG. 1. — A, Map of the location of the Hambach lignite mine (from MÖrs & Stefen 2010); B, picture of the outcrop.
Hydrogeological model for the island of Norderney (Germany)
<p>This record provides a hydrogeological model for the island of Norderney (Germany). The dataset is associated with the data paper "Development of a three-dimensional hydrogeological model for the island of Norderney (Germany) using GemPy" published in <em>Geoscience Data Journal </em>(<a href="https://doi.org/10.1002/gdj3.208">https://doi.org/10.1002/gdj3.208</a>).</p> <p><strong>Brief summary of the record contents</strong></p> <ul> <li><strong>figures.zip </strong>contains figures presented in the manuscript and corresponding Python scripts to create them.</li> <li><strong>hydrgeological_model_3D_voxel.zip </strong>contains the GemPy model output data and parameter setting as well as discretization informations.</li> <li><strong>hydrogeological_model_layer_raster.zip </strong>contains GeoTIFF files of the layer bases and thicknesses of the hydrogeological model.</li> <li><strong>tables.zip </strong>contains csv-files for tables present in the supplementary information</li> <li><strong>workflow.zip</strong> contains the entire processing workflow of the primary data and model development as well as creation.</li> </ul> <p><strong>Required software</strong></p> <p>Python (Version 3.9.13), R (Version 4.2.1), GemPy (Version 2.2.11), QGIS (Version 3.20.1).</p> <p><strong>Changes to v1.2.1</strong></p> <ul> <li>Included folder 'tables/'</li> </ul> <p><strong>Changes to v1.2.0</strong></p> <ul> <li>Correction of a typo in script for Figure 4 in folder 'figures/'</li> <li>Adaption of figure scripts to journal requirements regarding file types</li> </ul> <p><strong>Changes to v1.1.0</strong></p> <ul> <li>New figures added in 'figures/'. Fig5, Fig7, and FigS1 (other figures renamed accordingly)</li> <li>new folder 'tables/' with added Tables TabS1 and TabS2</li> <li>technical correction in README file (qL/T to qL/C)</li> <li>additional data congruence analysis, with additional script 's03d_check_hgsm_3d_congruence.py' and folder 'congruence_check/' in 'workflow/C_hgsm_nor_3d/'</li> </ul>
Initial Sample of HYPERNETS Hyperspectral Surface Reflectance Measurements for Satellite Validation from the agricultural land at Demmin, Germany
<p>The HYPERNETS project (www.hypernets.eu) aims to ensure that high-quality in situ measurements are available to support the (VNIR/SWIR) optical Copernicus products. Therefore, it established a new autonomous hyperspectral spectroradiometer (HYPSTAR® - www.hypstar.eu) dedicated to land and water surface reflectance validation with instrument-pointing capabilities. In the prototype phase, the instrument is being deployed at 24 sites covering a range of water and land types and a range of climatic and logistic conditions. This dataset provides the first published data for the HYPERNETS site in Demmin, Germany [53°52'5.80"N,13°16'6.80"E] (DEGE). It is a subset of the complete data record, consisting of the measurements withEthaturements which could be used for satellite validation. </p> <p>The provided NetCDF files are the L2A hypernets products with surface reflectances, their associated uncertainties and error-correlation information. The reflectance in the L2A products is the Hemispherical-directional Reflectance Factor (HDRF) defined as HDRF = π L / E where L is the directional upwelling radiance (with the field o, view of 5 degrees), and E is the (hemispherical) downwelling irradiance (i.e. including both direct solar and diffuse sky irradiance). These reflectances have dimensions of wavelength and series, where each series is a set of measurements for a given geometry (combination of viewing zenith and azimuth angle). In addition to variables for wavelength and bandwidth, the files also contain variables that provide for each series the acquisition time, viewing and solar angles, number of valid scans used, and quality flags (typically, no flags are set in the data provided in this dataset). These NetCDF files also contain further relevant metadata as attributes. See https://hypernets-processor.readthedocs.io/ for further info.</p> <p>The HYPSTAR®-XR sensor was installed on 22 July 2021 at the top of a 10m mast on an extended 5 m horizontal boom to minimise interruption of the field of view. The boom faces South at the right angle towards bare soil. The mast is located at 53.868278°N, 13.268556°E. Data are collected every 30 minutes between 9:00 and 17:00 (UTC) from different zenith and azimuth angles.</p> <p>The HYPSTAR®-XR (eXtended Range) instruments deployed at each land HYPERNETS site consist of a VNIR and a SWIR sensor and autonomously collect data between 380-1700 nm at various viewing geometries and send it to a central server for quality control and processing. The VNIR sensor spans 1330 channels between 380 and 1000 nm with an FWHM of 3 nm, and the SWIR sensor has 220 channels between 1000 and 1700 nm with an FWHM of 10 nm. The hypernets_processor (Goyens et al. 2021; De Vis et al. in prep.) automatically processes all this data into various products, including the L2A surface reflectance product provided here. All products have associated uncertainties (divided into random and systematic uncertainties, including error-correlation information) propagated using the CoMet toolkit (www.comet-toolkit.org). </p> <p>To obtain this dataset, we start from the full DEGE data record and omit all the data that do not pass all quality checks performed as part of the hypernets_processor. In addition, an additional screening procedure was also developed to remove outliers and supply the best quality data suitable for satellite validation. To remove the outliers, a sigma-clipping method is used. First, reflectances are extracted in separate 2-hour windows throughout the day (to account for BRDF differences due to different solar positions) for four different wavelengths (500, 900, 1100 and 1600 nm). Outliers in these reflectances are then identified by iteratively calculating the mean reflectance trend with time (by binning the data per maximum of 30 data points), calculating the standard deviation from this trend, and masking any data that is more than three standard deviations away from the trend. This process is repeated on the unmasked data until the standard deviation does not vary by more than 5% between two iterations. The masks for the four different wavelengths are then combined (keeping only measurements for which none of the four wavelengths is an outlier). The reflectances and associated uncertainties for any masked series (i.e. a geometry that is masked either by the sigma-clipping procedure or from the masks of the hypernets_processor) are replaced by NaNs. Any sequence that has more than half of its series masked is removed entirely. </p>
High-resolution throughfall measurement design, Hainich, Germany, project AquaDiva
<p>This dataset contains the sampling design for throughfall data used for the analysis published in Metzger et al. (2017) and Fischer et al. (2023). It gives spatially distributed throughfall measurement points and their forest structural properties. The measurement points are grouped into randomly distributed “kernel” points and “transect” points which are not part of the random design.</p> <p>The field site and sampling design are described in Metzger et al. (2017). The throughfall data is given in an associated published dataset (Metzger and Hildebrandt, 2023).</p>
EGMP 2023 Offtake Assessment for Finland and NW Russia / Sweden, Denmark and Germany population of Taiga Bean Goose (former Central MU)
<p>Data and model files for the 2023 EGMP offtake assessment for Finland and NW Russia / Sweden, Denmark and Germany population of Taiga Bean Goose (former Central MU).</p> <p>https://gitlab.com/aewa-egmp/taiga-bean-goose/harvest-assessment-2023</p>
Data set for the ensemble postprocessing of 2m surface temperature forecasts in Germany for 24 hours lead time
<p>Full data set for the ensemble postprocessing of 2m surface temperature forecasts at 462 observation stations in Germany for 24 hours lead time in the years 2015-2020. The data set is provided in .Rdata format supported by the statistical software <a href="https://www.r-project.org">R</a>. The ensemble forecasts are retrieved from <a href="https://www.ecmwf.int">ECMWF</a> and the observation data from the <a href="https://opendata.dwd.de/climate_environment/CDC/observations_germany/climate/hourly/air_temperature/historical/BESCHREIBUNG_obsgermany_climate_hourly_tu_historical_de.pdf">German Weather Service</a> (<a href="https://www.dwd.de/">DWD</a>). <br> <br> For more information about the data set see: <a href="https://github.com/jobstdavid/paper_gamvinereg">https://github.com/jobstdavid/paper_gamvinereg</a></p>
Fig. 1 in La araña toro, Macrothele calpeiana, repeatedly imported to Germany (Araneae: Macrothelidae)
Fig. 1 – Accidentally imported Macrothele calpeiana found in Germany (Central Europe). a, Female M. calpeiana found in Remseck am Neckar (Photo: Frank Schneider); b, juvenile specimen (body length ≈ 18 mm) found in Ortenaukreis, Baden-Württemberg (Photo: Hubert Höfer).
Fig. 24 in The ammonoids from the Gattendorfia Limestone of Gattendorf (Devonian-Carboniferous boundary; Upper Franconia, Germany)
Fig. 24. Acutimitoceras acutum (Schindewolf, 1923) from Gattendorf. A. Cross section of paralectotype SMF Mbg.3106 (Schindewolf 1916 Coll.) from bed 21. B. Suture line of specimen MB.C.31283 (Korn 1989 Coll.) from bed 21f, at dm = 11.5 mm, ww = 4.8 mm, wh = 5.5 mm. C. Growth line and constriction course in lectotype SMF.Mbg.3105 (Schindewolf 1916 Coll.) from bed 21, at dm = 16.4 mm, ww = 5.0 mm, wh = 9.0 mm. D –F. Ontogenetic development of the conch width index (ww/dm), umbilical width index (uw/dm), whorl width index (ww/wh) and whorl expansion rate (WER) of selected specimens. Grey dots = specimen MB.C.1986 from the Pfaffenberg near Saalfeld, from Bartzsch & Weyer (1996). Scale bar units = 1 mm.
Fig. 23 in The ammonoids from the Gattendorfia Limestone of Gattendorf (Devonian-Carboniferous boundary; Upper Franconia, Germany)
Fig. 23. Acutimitoceras acutum (Schindewolf, 1923) from Gattendorf. A. Lectotype SMF Mbg.3105 (Schindewolf 1916 Coll.) from bed 21. B. Specimen MB.C.31283 (Korn 1989 Coll.) from bed 21f. Scale bar units = 1 mm.
Fig. 21 in The ammonoids from the Gattendorfia Limestone of Gattendorf (Devonian-Carboniferous boundary; Upper Franconia, Germany)
Fig. 21. Stockumites sp., juvenile specimens (Korn 1989 Coll.) from Gattendorf, bed 21a. A. Specimen MB.C.31271. B. Specimen MB.C.31272. C. Specimen MB.C.31273. D. Specimen MB.C.31274. E. Specimen MB.C.31275. Scale bar units = 1 mm.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.