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zenodo36/100

Fig. 1 in Plesiosoricids from early Oligocene fissure fillings in South Germany, with remarks on plesiosoricid phylogeny

Fig. 1. Sketch map with the location of the Möhren site.

opencc-by-4.0May 2009View details →
zenodo36/100

Fig. 1 in The castorid Steneofiber from NW Germany and its implications for the taxonomy of Miocene beavers

Fig. 1. Location of the Hambach opencast lignite mine in northwestern Germany.

opencc-by-4.0Jan 2010View details →
zenodo36/100

FIGURE 1. Penthetria species undetermined, photograph under isopropanol. Scale bar equals 2 in The first fossil insect from the deep-water marine Early Miocene of Zillerleite, Germany (Diptera: Bibionidae)

FIGURE 1. Penthetria species undetermined, photograph under isopropanol. Scale bar equals 2 mm.

opencc-by-4.0Dec 2017View details →
zenodo36/100

Data on planned eHV transmission lines in Germany

<p>Contains manually created lists of planned eHV AC and DC lines in Germany based on the Grid development plan 2021. The main source was the Grid development plan 2021, second draft by the German transmission system operators.</p> <p>In addition, a shapefile including lines that will be replaced by these lines is included.</p> <p>The data was created for the data processing tool <a href="https://github.com/openego/eGon-data">eGon-data&nbsp;</a>within the research project hybit.&nbsp;</p> <p>We thank the Federal Ministry of Education and Research (BMBF) for funding the project hybit (FKZ: 03SF0687A).</p>

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

DAVE - Measuring run on Mittellandkanal in Hannover, Germany - Canal

<p>The dataset was collected during a measurement run on the Mittellandkanal in Hanover, Germany.</p> <p>The data is provided in the ros2bag mcap storage format.</p> <p>The bag files contain data from the following sensors&nbsp;</p> <ul> <li>Lidar</li> <li>Camera</li> <li>GPS</li> <li>Wind</li> </ul> <p>The bag files can be played using the free foxglove studio software. A layout json file is also provided.&nbsp;</p> <p>These bag files show parts of the canal with a focus on bridges.</p> <p>&nbsp;</p> <p>This publication is a result of the research of the Center of Excellence CoSA and funded by the Federal Ministry for Digital and Transport of the Federal Republic of Germany (Id 19F2225C, DAVE).</p> <p>&nbsp;</p> <p>Project website: https://www.th-luebeck.de/cosa/projekt/dave/</p>

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

DAVE - Measuring run on Mittellandkanal in Hannover, Germany - Lock entrance

<p>The dataset was collected during a measurement run on the Mittellandkanal in Hanover, Germany.</p> <p>The data is provided in the ros2bag mcap storage format.</p> <p>The bag files contain data from the following sensors&nbsp;</p> <ul> <li>Lidar</li> <li>Camera</li> <li>GPS</li> <li>Wind</li> </ul> <p>The bag file can be played using the free foxglove studio software. A layout json file is also provided.&nbsp;</p> <p>This bag file shows the lock Anderten in the canal.</p> <p>&nbsp;</p> <p>This publication is a result of the research of the Center of Excellence CoSA and funded by the Federal Ministry for Digital and Transport of the Federal Republic of Germany (Id 19F2225C, DAVE).</p> <p>&nbsp;</p> <p>Project website: https://www.th-luebeck.de/cosa/projekt/dave/</p>

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

Table 2 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 2</b> Maximum temperature of water (&deg;C) in the mosquito-positive ovitraps during the field studies at the different study sites</p><table><tbody><tr><th>Study</th><th>Site</th><th><i>Ae. japonicus japonicus</i></th><th><i>Cx.pipiens</i> s.l.</th><th><i>An. plumbeus</i></th><th><i>Ae. geniculatus</i></th></tr></tbody><tbody><tr><th>2017</th><td>Alfter</td><td>26.8</td><td>34.7</td><td>31.3</td><td>20.3</td></tr><tr><th></th><td>Dormagen</td><td>22.1</td><td>27.2</td><td>17.3</td><td>21.7</td></tr><tr><th>2018</th><td>Alfter</td><td>22.6</td><td>19.8</td><td>20.6</td><td>n.n.</td></tr><tr><th></th><td>Bonn S&Uuml;d</td><td>24.7</td><td>24</td><td>17.3</td><td>n.n.</td></tr><tr><th></th><td>Heimerzheim</td><td>24.3</td><td>24.6</td><td>23.2</td><td>22.7</td></tr><tr><th></th><td>Lohmar</td><td>28.6</td><td>25.8</td><td>28.6</td><td>16.6</td></tr><tr><th></th><td>Siegburg</td><td>25.8</td><td>30</td><td>27</td><td>23.1</td></tr><tr><th></th><td>Troisdorf</td><td>26.8</td><td>27.7</td><td>25.2</td><td>n.n.</td></tr></tbody></table><p><i>n.n.</i> Species not present</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Table 1 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 1</b> Total number and percentages of positive samples and occurrence of mosquito species per trap</p><table><tbody><tr><th>Study</th><th></th><th><i>Aedes japonicus japonicus</i></th><th><i>Culex pipiens</i> s.l.</th><th><i>Anopheles plumbeus</i></th><th><i>Aedes geniculatus</i></th><th>Total</th></tr></tbody><tbody><tr><th>2017</th><td>Total positive traps (<i>n</i>)</td><td>97</td><td>199</td><td>47</td><td>38</td><td>381</td></tr><tr><th></th><td>Positive traps/analysable traps (%)</td><td>15.4</td><td>31.7</td><td>7.5</td><td>6.1</td><td>60.7</td></tr><tr><th></th><td>Traps multiple species (<i>n</i>)</td><td>56</td><td>58</td><td>39</td><td>25</td><td>80</td></tr><tr><th></th><td>Multiple species/positive traps (%)</td><td>57.7</td><td>29.1</td><td>83</td><td>65.8</td><td>21</td></tr><tr><th>2018</th><td>Total positive traps (<i>n</i>)</td><td>441</td><td>285</td><td>137</td><td>19</td><td>882</td></tr><tr><th></th><td>Positive traps/analysable traps (%)</td><td>20.3</td><td>13.1</td><td>6.3</td><td>0.9</td><td>40.7</td></tr><tr><th></th><td>Traps multiple species (<i>n</i>)</td><td>180</td><td>139</td><td>113</td><td>11</td><td>206</td></tr><tr><th></th><td>Multiple species/positive traps (%)</td><td>40.8</td><td>48.8</td><td>82.5</td><td>57.9</td><td>23.4</td></tr></tbody></table><p>Calculations based on a total of 628 samples in 2017 and 2168 samples in 2018.The number of positive ovitraps with more than one species divided by the total number of positive ovitraps represents the portion of positive ovitraps with multiple species.See Additional file 1: Table S1 for all combinations of species and Additional file 2: dataset S1 for all samplings</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Table 3 in Oviposition of AedeS japoNiCUS japoNiCUS (Diptera: Culicidae) and associated native species in relation to season, temperature and land use in western Germany

<p><b>Table 3</b> Coefficients and statistically significant output of predictor variables as calculated by the generalised linear model</p><table><tbody><tr><th></th><th>Estimate</th><th>SE</th><th><i>Z</i> -value</th><th><i>P</i></th></tr></tbody><tbody><tr><th>(Intercept)</th><td>&minus; 29.890</td><td>15.100</td><td>&minus; 19.790</td><td>0.0478*</td></tr><tr><th>Temp_mean</th><td>0.2126</td><td>0.0933</td><td>22.800</td><td>0.0226*</td></tr><tr><th>Cxbin</th><td>0.2732</td><td>0.3148</td><td>0.868</td><td>0.3854</td></tr><tr><th>Plbbin</th><td>0.5999</td><td>0.2253</td><td>26.630</td><td>0.0077*</td></tr><tr><th>F100</th><td>0.4931</td><td>0.4826</td><td>10.220</td><td>0.3068</td></tr><tr><th>F10</th><td>0.7486</td><td>0.4127</td><td>18,140</td><td>0.0697</td></tr><tr><th>F/S</th><td>0.8715</td><td>0.3728</td><td>23.380</td><td>0.0194*</td></tr><tr><th>S10</th><td>10.770</td><td>0.3347</td><td>32.170</td><td>0.0013*</td></tr><tr><th>Ngbi</th><td>0.0412</td><td>0.1157</td><td>0.356</td><td>0.722</td></tr><tr><th>Nhbu</th><td>0.0001</td><td>0.0251</td><td>0.003</td><td>0.9972</td></tr><tr><th>Ngki</th><td>0.0295</td><td>0.0432</td><td>0.684</td><td>0.4941</td></tr><tr><th>Nsei</th><td>&minus; 0.0362</td><td>0.0609</td><td>&minus; 0.594</td><td>0.5528</td></tr><tr><th>Ntei</th><td>&minus; 0.0845</td><td>0.0917</td><td>&minus; 0.922</td><td>0.3566</td></tr><tr><th>Ngfi</th><td>0.1002</td><td>0.0832</td><td>12.050</td><td>0.2283</td></tr><tr><th>Nrbu</th><td>0.0648</td><td>0.0456</td><td>14.200</td><td>0.1557</td></tr></tbody></table><p>Characteristics:negative binomial,link = log, <i>z</i> -values calculated by Wald-test. Response variable:total of <i>Ae. japonicus japonicus</i> -positive ovitraps per location Predictors:Temp_mean = Mean water temperature,binary native taxa occurrence:Cxbin = <i>Cx. pipiens</i> s.l., <i>Plbbin An. plumbeus</i>, land use data: percentage forest:F100 = 100% forest,F10 = 60% forest,F/S = 50% forest,S10 = 40% forest,number of tree species in a 10 m radius of the trap locations (the tree species occurred in more than five transects):Nrbu: <i>Fagus sylvatica</i>, Nhbu: <i>Carpinus betulus</i>, Ngbi: <i>Betula pendula</i>, Nsei: <i>Quercus robur</i>, Ntei: <i>Quercus petreae</i>, Ngfi: <i>Picea abies</i>, Ngki: Pinus sylvestris</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Influence of Family Language Policies on Language Proficiency across Generations: A Study of Russian-Speaking Families in Germany

Open the record for dataset details and reuse information.

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

ETHOS.BUILDA: Residential Building TABULA Archetype Dataset Germany

<h2>Introduction</h2> <p>This dataset contains all residential buildings in Germany with their construction year, size class, refurbishment state, and <a href="https://episcope.eu/iee-project/tabula/">TABULA archetype</a>. It is a partial dump of the ETHOS.BUILDA database (version v8_20240916). 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.&nbsp;</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>position</td> <td>location of building centroid in WKT-format, EPSG:3035</td> </tr> <tr> <td>construction_year</td> <td> <p>value: construction year,&nbsp;</p> <p>source: source of the construction year data,</p> <p>lineage: construction year assignment method</p> </td> </tr> <tr> <td>size_class</td> <td> <p>value: size class of the building,&nbsp;</p> <p>source: source of the size class data,</p> <p>lineage: size class assignment method</p> </td> </tr> <tr> <td>refurbishment_state</td> <td> <p>value: refurbishment state of the building,&nbsp;</p> <p>source: source of the refurbishment state data,</p> <p>lineage: refurbishment state assignment method</p> </td> </tr> <tr> <td>tabula_type</td> <td> <p>value: TABULA type of the building,&nbsp;</p> <p>source: source of the TABULA data,</p> <p>lineage: TABULA type 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 entry for the source "v3_model.json", as it refers to the internally trained machine learning model for the respective attribute and not to an external data source.</p> <p>The full footprint polygons from which the centroids are derived and the sources of the footprints are found in the related dataset linked as "is supplemented by".</p> <h2>Acknowledgements</h2> <p>This work was supported by the Helmholtz Association under the program "Energy System Design".&nbsp;</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>

openodc-odblJun 2024View details →
zenodo36/100

TABLE 2 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11 C, Germany

<p>TABLE 2. &mdash; Measurements (in mm) of <i>Trogontherium minus</i> teeth from Hambach 11C.</p><table><tbody><tr><th><b>Museum number</b></th><th><b>Species</b></th><th><b>Dex/Sin</b></th><th><b>Tooth position</b></th><th><b>Length</b></th><th><b>Width</b></th></tr></tbody><tbody><tr><th>HaR-5642-1</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>i</td><td>&ndash;</td><td>4.77</td></tr><tr><th>HaR-5642-2</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>p4</td><td>4.05</td><td>3.01</td></tr><tr><th>HaR-5642-3</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>m1</td><td>5.68</td><td>6.27</td></tr><tr><th>HaR-5642-4</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>m2</td><td>5.94</td><td>6.07</td></tr><tr><th>HaR-5643-1</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>P4</td><td>8.24</td><td>8.87</td></tr><tr><th>HaR-5643-2</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>M1</td><td>5.99</td><td>6.21</td></tr><tr><th>HaR-5643-3</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>M2</td><td>5.73</td><td>6.21</td></tr><tr><th>HaR-5644</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>M3</td><td>7.71</td><td>6.05</td></tr><tr><th>HaR-5645</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>P4</td><td>8.31</td><td>9.03</td></tr><tr><th>HaR-5646</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>M1/2</td><td>5.84</td><td>6.19</td></tr><tr><th>HaR-5647</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>M1/2</td><td>6.06</td><td>6.43</td></tr><tr><th>HaR-5648</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>M3</td><td>7.75</td><td>5.97</td></tr><tr><th>HaR-5649</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>P4</td><td>7.2</td><td>8.53</td></tr><tr><th>HaR-5650</th><td><i>Trogontherium minus</i></td><td>Sin</td><td>dP4</td><td>5.18</td><td>5.06</td></tr><tr><th>HaR-5651</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>M3</td><td>5.92</td><td>5.96</td></tr><tr><th>HaR-5652</th><td><i>Trogontherium minus</i></td><td>Dex</td><td>M1/2</td><td>6.08</td><td>5.53</td></tr></tbody></table>

opencc-by-4.0Apr 2023View details →
zenodo36/100

TABLE 1 in Beavers and flying squirrels (Rodentia: Castoridae, Pteromyini) from the Late Pliocene of Hambach 11 C, Germany

<p>TABLE 1. &mdash; Measurements (in mm) of <i>Castor fiber</i> teeth from Hambach 11C.</p><table><tbody><tr><th><b>Museum</b></th><th></th><th></th><th><b>Tooth</b></th><th></th><th></th></tr></tbody><tbody><tr><th><b>number</b></th><td><b>Species</b></td><td><b>Dex/Sin</b></td><td><b>position</b></td><td><b>Length</b></td><td><b>Width</b></td></tr><tr><th>HaR-5637</th><td>Castor</td><td>Sin</td><td>P4</td><td>8,24</td><td>7,18</td></tr><tr><th></th><td>fiber</td><td></td><td></td><td></td><td></td></tr><tr><th>HaR-5638</th><td>Castor</td><td>Sin</td><td>M1/2</td><td>6,27</td><td>6,55</td></tr><tr><th></th><td>fiber</td><td></td><td></td><td></td><td></td></tr><tr><th>HaR-5639</th><td>Castor</td><td>Sin</td><td>M1/2</td><td>6,97</td><td>6,83</td></tr><tr><th>fiber</th></tr><tr><th>HaR-5641</th><td>Castor</td><td>Sin</td><td>m1/2</td><td>5,62</td><td>4,31</td></tr><tr><th>fiber</th></tr></tbody></table>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Random samples of SARS-CoV-2 sequences for Germany

<p>Mutation profiles and meta data for SARS-CoV-2 lineages in Germany submitted via DESH to the Robert Koch Institute (<a href="https://github.com/robert-koch-institut/SARS-CoV-2-Sequenzdaten_aus_Deutschland">https://github.com/robert-koch-institut/SARS-CoV-2-Sequenzdaten_aus_Deutschland</a>), containing a subset from https://doi.org/10.5281/zenodo.12806236.<br>For this CSV file, the raw data (fasta) was processed with covSonar (https://github.com/rki-mf1/covsonar) and the resulting database queried for random samples (RKI_STICHPROBE, DESH_STICHPROBE) and with dates ranging from 2021-01-01 until 2024-07-24.</p>

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

Impact of night-time cold-air flow on particulate matter concentration at Tempelhofer Feld, Berlin, Germany

<p>The dataset consists of particulate matter concentration and meteorology data, measured in Berlin-Hasenheide and Berlin-Temeplhof from June 15, 2022 to June 18, 2022.</p> <p><a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_cargo-bike_PM_HUB.geojson/content" target="_blank" rel="noopener noreferrer">Hasenheide_cargo-bike_PM_HUB.geojson</a> : The observed PM concentration and meteorology, at 10 measurement points around Tempelhofer Feld, Hasenheide and Kreuzberg. The mesurements were carried out on a mobile-platform, using a cargo-bike.&nbsp;</p> <p>Information on working with geojson file can be found under&nbsp;<a href="https://geojson.readthedocs.io/en/latest/">GeoJSON</a> .</p> <p><a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_Crane_HUB.csv/content" target="_blank" rel="noopener noreferrer">Hasenheide_Crane_HUB.csv</a> : The observed PM concentration and meteorology at 2 m, 5 m, 10 m, 15 m, and 20 m in Hasenheide. The measurments were carried out using a crane to move the instruments to different heights.</p> <p><a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_Crane_HUB.csv/content" target="_blank" rel="noopener noreferrer">Hasenheide_Stationary_Meteorology_HUB.csv</a> and <a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_Stationary_PM_HUB.csv/content" target="_blank" rel="noopener noreferrer">Hasenheide_Stationary_PM_HUB.csv</a>&nbsp;contain the stationary and continuous, meteorology and PM measurement data collected in Berlin Hasenheide. The data was collected at 0.5m and 2m above ground level.</p> <p><a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_Crane_HUB.csv/content" target="_blank" rel="noopener noreferrer">Tempelhof_Stationary_Meteorology_HUB.csv</a> and <a href="https://zenodo.org/api/records/14046315/draft/files/Hasenheide_Stationary_PM_HUB.csv/content" target="_blank" rel="noopener noreferrer">Tempelhof_Stationary_PM_HUB.csv</a> contain the stationary and continuous, meteorology and PM measurement data collected in Berlin Hasenheide. The data was collected at 0.5m and 2m above ground level.</p> <p>Units:&nbsp;<br>PM : &micro;g/m&sup3;<br>Air temperature: &deg;C<br>Surface temperature: &deg;C<br>Potential temperature: K<br>Relative humidity: %<br>Specific humidity: g Water vapour per kg dry air<br>Pressure: hPa<br>Solar radiation: W/m&sup2;<br>Wind speed: m/s<br>Wind direction: Degree</p> <p>&nbsp;</p> <p>The original article providing all necessary background information on study sites, methodology and data processing is the following: Venkatraman Jagatha, J., T. Sauter, C. Schneider (2024): Impact of night-time cold-air flow on particulate matter concentration at Tempelhofer Feld, Berlin, Germany.&nbsp;</p> <p>The article will be submitted to the journal "Die Erde", ISSN:&nbsp; 0013-9998.&nbsp;</p> <p>&nbsp;</p>

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

AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Germany

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2020, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>

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

Understanding relational values in cultural landscapes in Romania and Germany

<p>Relational values recently emerged as a concept to comprehensively understand and communicate the many values of nature. Relational values can be defined as preferences and principles about human-nature relationships and focus both on human-nature connections, as well as human-human connections.</p> <p>Here, drawing on 819 face-to-face questionnaires, we analysed relational, intrinsic and instrumental values across a total of six agricultural landscapes in Transylvania (Romania) and Lower Saxony (Germany). The landscapes described a gradient of land use intensity, within and across the countries.</p> <p>Our results suggest a bundling of values into four groups: those concerned with individual cognition (including intrinsic values), those that focus on nature as a place for social interaction and relaxation, those that capture cultural identity and spiritual values and one bundle that only includes instrumental values.</p> <p>These different values, in turn, were strongly related to (i) respondents' attitudes towards environmental conservation and the (ii) frequency with which respondents used nature as a resource. </p> <p>Instrumental values have the tendency to be inversely related with relational values and were found to increase with the land use intensity of the focal landscapes.</p>

opencc-zeroJul 2021View details →
zenodo36/100

Figure 1 in A New Cormorant-like Bird (Aves: Phalacrocoracoidea) from the Early Miocene of Rauscheröd (Southern Germany)

Figure 1. Geographical position of the locality Rauscheröd (southeastern Germany, Lower Bavaria).

opencc-by-4.0May 2010View details →
zenodo36/100

Jupiter, Io and its shadow, by Ralf Burkart, Germany

<p>First place in the 2021 IAU OAE Astrophotography Contest, category Galilean moons.</p> <p>This time-lapse of Jupiter taken in 2017 from Germany beautifully illustrates the transit of one of the Galilean moons, Io, in front of Jupiter. As this is simply a moon casting a shadow on a planet it is equivalent to a lunar eclipse on Earth observed from further away. While the shadow of the moon is clearly visible from the beginning, it might be difficult to spot the moon itself against the background of the beautiful atmospheric bands of Jupiter the first time the video is seen. Watching it repeatedly allows appreciating the rapid motion and rotation in this fantastic observation.</p> <p>Credit:&nbsp;Ralf Burkart/IAU OAE</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

FIG. 13. — Turriseiffelus yaoi n. gen., n in Lower Tithonian mono- and dicyrtid Nassellaria (Radiolaria) from the Solnhofen area (southern Germany)

FIG. 13. — Turriseiffelus yaoi n. gen., n. sp., holotype, dorsal view. Scale bar: 50 µm.

opencc-zeroDec 2003View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.