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Supplementary material 2 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Forschungsdatenmanagement mit NFDI: Wie sind wir vorbereitet? Wie partizipieren wir?
Supplementary material 4 from: Petersen M, Pramann B, Toepfer R, Neumann J, Enke H, Hoffmann J, Mauer R (2020) Research Data Management - Current status and future challenges for German non-university research institutions. Research Ideas and Outcomes 6: e55141. https://doi.org/10.3897/rio.6.e55141
Photographs of notes from the discussions in the Leibniz Sessions
German legal decision corpus
<p>The corpus belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1].</p> <p>Please cite [1] when using the corpus.</p> <p>[1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021.</p> <p>This corpus consits of 32,748 decisions of Bavarian courts (between 2015 and 2020), enriched with meta data. The decisisons are provided on the website www.gesetze-bayern.de.</p> <p>These decisions are safed in the following JSON format:</p> <p><code>{ </code></p> <p><code>"meta": </code></p> <p><code> { "meta_title": "", </code></p> <p><code> "court": "", </code></p> <p><code> "decision_style": "", </code></p> <p><code> "date": "", </code></p> <p><code> "file_number":"", </code></p> <p><code> "title": "", </code></p> <p><code> "norm_chains": ["", ""], </code></p> <p><code> "decision_guidelines": ["", ""], </code></p> <p><code> "keywords": "", </code></p> <p><code> "lower_court": ["", ""], </code></p> <p><code> "additional_information": "", </code></p> <p><code> "decision_reference": "" </code></p> <p><code>}, </code></p> <p><code>"decision_text":</code></p> <p><code> { "tenor": ["",""], </code></p> <p><code> "legal_facts": ["",""], </code></p> <p><code> "decision_reasons": ["",""] </code></p> <p><code> } </code></p> <p><code>} </code></p> <p>metadata fields (not all fields are always filled):</p> <p>- Meta Title: Title of the decision as stated on the website</p> <p>- Court: Name of the issuing court</p> <p>- Decision Style: Style of the decision</p> <p>- Date: Issuing date</p> <p>- File Number: File number of the descision</p> <p>- Title: Title of the decision as stated by the court</p> <p>- Norm Chains: Norms related to the decision</p> <p>- Decision Guideline: Guidlines that lead to the decision</p> <p>- Keywords: Keywords associated with the decision</p> <p>- Lower Court: Court that worked with this decision beforehand</p> <p>- Additional Information: more information</p> <p>- Decison reference: reference to the decision in beck-online</p> <p> </p> <p>The descision text is structured in three parts, not all parts are always filled.</p> <p>- Tenor: short description of the outcomes of the legal decision issued by the court</p> <p>- Legal Facts: Statment of all facts that lead to a decision</p> <p>- Decision Reasons: Indepth explanaition why a court decided in a certain way.</p>
German legal jugements annotated with judement style components
<p>This corpus consits of 200 annotated German legal judgements. In all judgements the parts "conclusion", "definition" and "subsuption" of the German legal writing style "Urteilsstil" (judgement style) are annotated.</p> <p>It belongs to the paper "Design and Implementation of German Legal Decision Corpora" from Urchs et al.[1].</p> <p>Please cite [1] when using the corpus.</p> <p>The annotation of the corpus was made possible by the research center for legal questions of digitalization processes (“FREDI”) [2].</p> <p> </p> <p>[1] Urchs Stefanie, Mitrović Jelena, and Granitzer Michael. "Design and Implementation of German Legal Decision Corpora" ICAART. 2021.</p> <p>[2] https://www.jura.uni-passau.de/en/faculty/institutes-and-centres/research-center-for-legal-questions-of-digitalization-processes-fredi/</p>
Germany and German Occupied Territories Imperial Prisoners of War Alphabetical List: Section 4: New Zealand: 2nd New Zealand Expeditionary Force
<p>CSV file of the members of the Second New Zealand Expeditionary Force that were taken prisoners of war in Germany and German Occupied Territories. This 1944 publication has been transcribed and matched against the Online Cenotaph database part of Auckland War Memorial Museum and includes 6370 entries. Most entries relate to Army personnel but it includes some Air Force prisoners of war. </p> <p>Includes reference to 56 Prisoner of War Camps.</p> <ul> <li>11A Altengrabow</li> <li>11B Fallingbostel</li> <li>13C Hammelburg am Main.</li> <li>17A Kaisersteinbruck nei Bruck (Leitha)</li> <li>17B Gneizendorf</li> <li>18A Wolfsber (Karnton)</li> <li>18A/Z Spitall/Drau.</li> <li>20A Thorn Podgorz.</li> <li>20B Marienburg</li> <li>21D Posen.</li> <li>2D Stagard.</li> <li>317 Markt Pongau (St. Johann)</li> <li>344 Lamsdorf</li> <li>357 Kopernikus</li> <li>383 Hohen Fels.</li> <li>398 Pupping near Ling</li> <li>3A Luckenwalde</li> <li>3B Furstenberg (R. Ode).</li> <li>3D Berlin-Steglitz</li> <li>4A Hohenstein</li> <li>4B Muhlberg (Elbe)</li> <li>4C Wistritz bei Teplitz</li> <li>4D Torgau (Elbe)</li> <li>4D/Z Annaburg</li> <li>4F Hartmandorf Chemnitz</li> <li>4G Oschatz</li> <li>5B Villingen Schwarzwald</li> <li>7A Moosburg (Isar)</li> <li>7B Memmingen</li> <li>8A Gorlitz</li> <li>8B Teschen</li> <li>8C Kunau Kzz Sprottau/Sagan</li> <li>9B Wegschelde</li> <li>9C Muhlhausen</li> <li>B.A.B. 20 Bau und Arbeits Battalion 20, Hydebreck</li> <li>B.A.B. 21 Bau und Arbeits Battalion 21, Blechammer</li> <li>Komaron</li> <li>Komarou</li> <li>L1 Stalag Luft 1, Barth Vogelsang</li> <li>L3 Stalag Luft 3, Sagan and Belaria</li> <li>L6 Stalag Luft 6, Heydekrug</li> <li>MUMN (Mar.) Marlag Nord, Westertimke (Tarnstedt)</li> <li>MUMN (Milag) Milag Nord, Westertimke (Tarnstedt)</li> <li>O.9A/H Spagenburg bei Kassel (O.9A/H)</li> <li>O.9A/Z Spagenburg bei Kassel (O.9A/Z)</li> <li>O12B Hadamar</li> <li>O4C Saalhaus Colditz</li> <li>O5A Weinberg (Wurtemburg)</li> <li>O79 Braunschweigh (formerly O.8F)</li> <li>O7B Eichstatt</li> <li>O9A/H Spagenburg bei Kassel</li> <li>O9A/Z Rotenburg Fulda</li> <li>O9B</li> <li>Siklos</li> <li>Slovakia</li> <li>Szigetva</li> </ul> <p>Original catalogue record can be found in <a href="https://www.aucklandmuseum.com/collections-research/collections/record/am_library-catalogq40-35824">Collections Online</a>.</p> <p> </p> <p>Field Names</p> <ul> <li><strong>Sequence number order</strong></li> <li><strong>Camp.No. P.O.W. No. Name Rank Army No.</strong> – original information</li> <li><strong>Camp.NO</strong> – Camp Number – split from original</li> <li><strong>POWNO</strong>. – Prisoner of War Number – split from original</li> <li><strong>Last name and initials</strong> – split from original</li> <li><strong>Rank</strong> – split from original</li> <li><strong>Army No.</strong> – split from original</li> <li><strong>Alias</strong> – split from original</li> <li><strong>Online Cenotaph number</strong> – Online Cenotaph system ID</li> <li><strong>Online Cenotaph Last name </strong>– Full name from Online Cenotaph</li> <li><strong>Online Cenotaph First names </strong>– Full first names from Online Cenotaph</li> </ul>
A survey of German business air traveller
<p>This dataset provides results of a passenger survey from 2017 at Munich airport in Germany (N=67). Within the study, we have examined how <strong>relevant factors shaping the modern working world may influence the personal perception of business related air travel.</strong> These relevant factors are: (1) Advanced communication technologies, (2) Personal experience and perception, (3) Work structures and requirements towards work, (4) Environment, (5) Alternative transport modes (rail), and (6) Impact of age and life stage. We surveyed <strong>business air travellers only</strong>. The questionnaire is translated from German to English.</p> <p>The raw data and questionnaire can be found attached. We invite researcher to duplicate / repeat the study and increase the country coverage and overall sample size. Please cite accordingly. If you have additional questions, please get in touch with us.</p>
Data from: Genetic dissection of complex behaviour traits in German Shepherd dogs.
A favourable genetic structure and diversity of behavioural features highlights the potential of dogs for studying the genetic architecture of behaviour traits. However, behaviours are complex traits, which have been shown to be influenced by numerous genetic and non-genetic factors, complicating their analysis. In this study, the genetic contribution to behaviour variation in German Shepherd dogs (GSDs) was analysed using genomic approaches. GSDs were phenotyped for behaviour traits using the established Canine Behavioral Assessment and Research Questionnaire (C-BARQ). Genome-wide association study (GWAS) and regional heritability mapping (RHM) approaches were employed to identify associations between behaviour traits and genetic variants, while accounting for relevant non-genetic factors. By combining these complementary methods we endeavoured to increase the power to detect loci with small effects. Several behavioural traits exhibited moderate heritabilities, with the highest identified for Human-directed playfulness, a trait characterised by positive interactions with humans. We identified several genomic regions associated with one or more of the analysed behaviour traits. Some candidate genes located in these regions were previously linked to behavioural disorders in humans, suggesting a new context for their influence on behaviour characteristics. Overall, the results support dogs as a valuable resource to dissect the genetic architecture of behaviour traits and also highlight the value of focusing on a single breed in order to control for background genetic effects and thus avoid limitations of between-breed analyses.
Figures 21-27 from: Liston A, Prous M (2020) Recent additions to the list of German sawflies (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 67(2): 127-139. https://doi.org/10.3897/dez.67.54002
Figures 21-27 Pristiphora females. 21.melagonia sp. nov. DEI-GISHym80270; 22–23.melagoniaDEI-GISHym20784; 24–25.melagoniaDEI-GISHym80270; 26.melagoniaDEI-GISHym17900 lancet; 27.Pristiphora depressaDEI-GISHym17704 lancet.
Figures 7-13 from: Liston A, Prous M (2020) Recent additions to the list of German sawflies (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 67(2): 127-139. https://doi.org/10.3897/dez.67.54002
Figures 7-13 Eurhadinoceraea females. 7.amaurosDEI-GISHym11581; 8.sanguinicollisDEI-GISHym17317; 9.athalioidesDEI-GISHym12685; 10.fulviventrisDEI-GISHym11606; 11.ventralisDEI-GISHym12686; 12.fulviventrisDEI-GISHym4840 valvulae 3; 13.ventralisDEI-GISHym19386 valvulae 3. Scale bars 2 mm.
Figures 5-6 from: Liston A, Prous M (2020) Recent additions to the list of German sawflies (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 67(2): 127-139. https://doi.org/10.3897/dez.67.54002
Figures 5-6 Endelomyia females, valvulae 3. 5.filipendulaeDEI-GISHym12688; 6.aethiopsDEI-GISHym12687.
Figures 15-20 from: Liston A, Prous M (2020) Recent additions to the list of German sawflies (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 67(2): 127-139. https://doi.org/10.3897/dez.67.54002
Figures 15-20 Pristiphora females. 15–16.Pristiphora krausiDEI-GISHym83928; 17.melagonia sp. nov. DEI-GISHym17900; 18–19.melagonia holotype DEI-GISHym80284); 20.melagoniaDEI-GISHym20784. Scale bars 2 mm.
Figures 1-4 from: Liston A, Prous M (2020) Recent additions to the list of German sawflies (Hymenoptera, Symphyta). Deutsche Entomologische Zeitschrift 67(2): 127-139. https://doi.org/10.3897/dez.67.54002
Figures 1-4 Dolerus. 1.yukonensisDEI-GISHym12682 male, basal abdominal terga; 2.cothurnatusDEI-GISHym12681 male, basal abdominal terga; 3.yukonensisDEI-GISHym12679 female, valvulae 3; 4.cothurnatusDEI-GISHym12680 female, valvulae 3.
NoSta-D Named Entity Annotation for German
<p>Dataset of the GermEval2014 Named Entity Recognition task.</p>
Incidents of aggression in German psychiatric hospitals: Is there an increase?
<p><b>Introduction</b>: In a meta-analysis of international studies, 17% of admitted patients in psychiatric hospitals had shown violent behaviour towards others. Reported data from studies in Germany were considerably lower until now. However, studies referred to single hospitals and data quality was questionable. It is under discussion whether there is an increase of violent incidents.</p> <p><b>Methods</b>: In a group of 10 hospitals serving about half of the population of the Federal State of Baden-Wuerttemberg with 11 million inhabitants, the staff observation aggression scale, revised (SOAS-R) was introduced into the electronic charts as part of routine documentation. Data recording was strongly supported by staff councils and unions. Complete data is now available for the year 2019. For one hospital, data is available since 2006. Due to some doubts with respect to fully covering self-directed aggression, we restricted the analysis to aggression toward others and toward objects.</p> <p><b>Results:</b> In 2019, 17,599 aggressive incidents were recorded in 64,367 admissions (1,660 staying forensic psychiatric patients included). 5,084 (7.90%) of the admitted cases showed aggressive behaviour towards others. Variation between hospitals was low to modest (SD=1.50). The mean SOAS-R score was 11.8 (SD between hospitals 1.20 %). 23% of the incidents resulted in bodily harm. The percentage of patients with violent behaviour was highest among patients with organic disorders (ICD-10 F0) and lowest among patients with addictive or affective disorders (F1, F3, F4). Forensic psychiatry had the highest proportion of cases with aggressive behaviour (20.54 %), but the number of incidents per bed was lower than in general adult psychiatry and child and adolescent psychiatry, indicating a lower risk for staff. In the hospital with long-time recordings available, an increase could be observed since 2010, with considerable variation between years. </p> <p><b>Conclusion:</b> This is the most robust estimate of the frequency of violent incidents in German psychiatric hospitals so far. The incidence is about half of what has been reported internationally, probably due to sample selection bias in previous studies and a relatively high number of hospital beds in Germany. Available data suggests an increase in violent incidents over the last ten years; however, it is unclear to what extent this is due to increased reporting.</p>
Data from: Frequently mated males have higher protein preference in German cockroaches
Protein is an abundant nutrient in sperm, and males therefore expend protein every time they mate. In addition, many males provide the female with a nitrogen-rich nuptial gift during mating, which often increases female fertility by supplementing her pool of limiting nutrients. However, it is unknown whether males compensate for the nitrogen cost of mating by increasing their preference for protein, which would facilitate the production of new sperm and nuptial gift material. Using artificial diets, we investigated whether male German cockroaches (Blattella germanica) would compensate for nitrogen expenses of mating by increasing protein preference when given the opportunity to self-select their diet from complementary foods differing only in protein- and carbohydrate content. We distributed adult males across four mating regimes differing in the frequency of mating opportunities with receptive females, and measured protein- and carbohydrate consumption as well as reproductive output over the lifespan of each male. Receptive females were either never available (no mating opportunity), or they were available overnight at a frequency of each 28 days (rare mating opportunities), each 14 days (occasional mating opportunities), or each seven days (frequent mating opportunities). Males selected highly carbohydrate-biased diets. However, males that mated more frequently had higher consumption and reproduction, and self-selected higher lifetime protein to carbohydrate ratios. Our study demonstrates that male German cockroaches actively select a more protein-biased diet that compensates for their nutritional requirements following mating. The study shows that male mating significantly affects foraging decisions for specific nutrients to compensate for the expenses of mating.
Fig. 4 in The German-Russian deep-sea expedition KuramBio (Kurile Kamchatka biodiversity studies) on board of the RV Sonne in 2012 following the footsteps of the legendary expeditions with RV Vityaz
Fig. 4. Cruise track of the KuramBio expedition.
Fig. 3 in The German-Russian deep-sea expedition KuramBio (Kurile Kamchatka biodiversity studies) on board of the RV Sonne in 2012 following the footsteps of the legendary expeditions with RV Vityaz
Fig. 3. Scientists of the KuramBio expedition SO 223 on deck of the German RV Sonne.
German-French Hackathon / Data challenge in Passau
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THE NECESSITY OF PSYCHOLINGUISTICS IN THE DEVELOPMENT OF LANGUAGE SKILLS OF THE PUPILS IN GERMAN LANGUAGE CLASSES
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THE IMPORTANCE OF PSYCHOLINGUISTICS IN THE DEVELOPMENT OF LANGUAGE SKILLS OF STUDENTS IN GERMAN LANGUAGE LESSONS
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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.