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305 results for “Dutch”
Fig. 3 in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 3. (A) Isocyamus deltobranchium and (B) Isocyamus delphinii showing the characteristic accessory gills (asterisk).
Fig. 2. A in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 2. A: Isocyamus deltobranchium adult male ventral view showing genitalia and accessory gills; B: Isocyamus deltobranchium adult female dorsal view; C: Isocyamus deltobranchium adult female ventral view showing genitalia and broodpouch; D: adult female ventral view with juveniles in brood pouch, all sampled from a stranded harbour porpoise (Phocoena phocoena) on the Dutch coast.
Fig. 6 in Whale lice (Isocyamus deltobranchium & Isocyamus delphinii; Cyamidae) prevalence in odontocetes off the German and Dutch coasts - morphological and molecular characterization and health implications
Fig. 6. Intralesional whale lice (arrow) in lesion with mild hyperplasia of the adjacent epidermis and granulation tissue in the superficial dermis (scale bar 2 mm).
Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas
<p>Dataset of sampled and/or logged Chlorophyll, Total Suspended Matter, Turbidity and Water temperature in Dutch Case study areas at multiple stations in 2018, 2019 and 2020.</p>
Figures 5–7 in The Dynastinae of the island of Saba, Dutch Caribbean (Coleoptera: Scarabaeidae)
Figures 5–7. Dynastinae of Saba. 5) Cyclocephala mafaffa Burmeister. 6) Tomarus cuniculus (Fabricius). 7) Phileurus valgus antillarum Prell. Scales in millimetres. Photographs by Harry Taylor.
Figures 3–4 in The Dynastinae of the island of Saba, Dutch Caribbean (Coleoptera: Scarabaeidae)
Figures 3–4. Dynastinae habitats on Saba. 3) The middle slopes of Great Hill near The Bottom, Saba, with typical vegetation of the island's mesophilic zone. The dynastine Phileurus valgus antillarum was bred from larvae collected at this locality. 4) Spring Bay, Saba, showing the dry grassland and steep slopes that are typical of the xerophilic zone of the island at its southern and western edges. No dynastines were collected in this zone. Photographs by M. P. T. Gillett.
Figures 1–2 in The Dynastinae of the island of Saba, Dutch Caribbean (Coleoptera: Scarabaeidae)
Figures 1–2. Collecting localities of Dynastinae on Saba 1) Map showing location of Saba (indicated by arrow) in the Lesser Antilles, and inset, larger-scale map of Saba, with the dynastine collecting localities numbered as follows: 1: The Bottom; 2: Crispeen track; 3: Windwardside; 4: Upper Mountain Road; 5: Lower Mountain Road; 6: English Quarter; 7: The Level. 2) Secondary hygrophilic rainforest on Maskerhorn Hill above Windwardside, Saba. Dynastines found here include Cyclocephala mafaffa and Phileurus valgus antillarum. Photograph by M. P. T. Gillett.
Data used in the PhD dissertation entitled "Hidden beneath the surface: Microbial methane cycling in Dutch urban canals"
<p>Data used for the figures presented in the PhD dissertation of KAJ Pelsma, entitled "Hidden beneath the surface: Microbial methane cycling in Dutch urban canals". The chapters to which each file corresponds is indicated in each file name.</p>
Annotated corpus samples of resultative nomination constructions in 4 languages (Dutch, English, French, Spanish)
<p>This dataset includes an annotated corpus sample retrieved from Sketch Engine of 3200 (i.e. 800x4) resultative constructions in 4 languages (Dutch, English, French, Spanish) with 16 (i.e. 4x4) different nomination verbs (Dutch: kronen 'crown', verkiezen 'elect', promoveren 'promote', uitroepen 'proclaim; English: crown, elect, promote, proclaim; French: couronner 'crown', élire 'elect', promouvoir 'promote', proclamer 'proclaim'; Spanish: coronar 'crown', elegir 'elect', ascender 'promote', proclamar 'proclaim').</p>
AIS heatmap: North Sea and Dutch Inland Waterways for the months January, April, July, October in 2019
<p>This dataset contains information on vessel movements in the North Sea and Dutch Inland Waterways for the months January, April, July, and October in 2019. It provides a heatmap representation of vessel traffic density during these specific months, which can be useful for various maritime and environmental analyses.</p> <p>1. File Formats</p> <p>The dataset is provided in the following file formats:</p> <ul> <li>NetCDF : The primary data files are available in netcdf format. For each grid cell the variables sog (Speed Over Ground) and count (Number of AIS messages) are available</li> <li>GeoTIFF (Georeferenced Tagged Image File Format): Heatmap images are provided in GeoTIFF format, suitable for geographic visualization.</li> </ul> <p>The dataset is split into tiles. Each tile conforms to the <a href="https://wiki.openstreetmap.org/wiki/Tiles">OSM tiling</a> naming scheme.</p> <p>2. Variables </p> <p>The dataset includes the following key variables:</p> <ul> <li><strong>Speed Over Ground (SOG)</strong>: The average vessel's speed over the ground for all the messages.</li> <li><strong>Count</strong>: The number of AIS messages received in this location</li> </ul> <p>3. Data Collection Method </p> <p>The AIS data used in this dataset was collected from AIS transponders on vessels operating in the North Sea and Dutch Inland Waterways. These transponders transmit information such as vessel position, speed, and identification. The dataset aggregates this information to create heatmap images for analysis. We did this on all the messages. Some ships emit more messages than others. Ships emit messages at higher frequency when sailing than when stationary. </p> <p>4. Source of Original Data</p> <p>The original AIS data used to create this dataset was sourced from the AIS archive from Rijkswaterstaat. This dataset was analysed for the purpose of a <a href="https://ais-scrolly.netlify.app/">storymap</a>.</p> <p> </p> <p> </p>
FIGURE 2 Different habitat types that were sampled during the 2018 in Taxonomy, ecology and distribution of the mosquitoes (Diptera: Culicidae) of the Dutch Leeward Islands, with a key to the adults and fourth instar larvae
FIGURE 2 Different habitat types that were sampled during the 2018 survey. Natural habitats: a) Bromelias, b) inflorescences of Heliconia sp. c) rock pool/beach pool, d) crab hole; Semi-natural habitats: e) temporary/permanent pond, Artificial habitats: f) bucket, g) well, h) car tire, i) abandoned swimming pool, j) cistern. Photos courtesy of K.-D.B. Dijkstra, J.G. van der Beek and K. Hulshof.
FIGURE 1 in Taxonomy, ecology and distribution of the mosquitoes (Diptera: Culicidae) of the Dutch Leeward Islands, with a key to the adults and fourth instar larvae
FIGURE 1 Sample sites of mosquitoes on Sint Eustatius, Saba and Dutch Sint Maarten during the 2018 Naturalis expeditions. The sampling methods referred to as "Other" comprise of different manual methods to sample adults and larvae. Sites with a BG-sentinel trap or other sampling method that was within 50 m of a Mosquito Magnet site are not separately shown on this map. Map created with QGIS, basemap. © OpenStreetMap contributors and the GIS user community.
Future land use maps for the Netherlands for the Dutch One Health SSPs
Open the record for dataset details and reuse information.
VariaNTS corpus: A spoken Dutch corpus containing talker and linguistic variability
<p>The VariaNTS (Variatie in Nederlandse Taal en Sprekers) corpus is a Dutch spoken corpus that was developed to maximize both linguistic and talker variability. It contains 1000 stimulus materials from 11 linguistic subcategories, recorded by 8 male and 8 female native speakers of standard Dutch. The corpus contains audio recordings, orthographic transcriptions, stimulus-specific details such as word frequencies, neighborhood densities and phonotactic probabilities, and talker details. The VariaNTS corpus aims to provide new materials to be used for broad assessment of speech perception and word recognition in Dutch clinical and academic settings. </p>
eCodicesNL: a virtual library for medieval manuscripts in Dutch collections
<p>This is a presentation about eCodicesNL: a new initiative to build a virtual library for medieval manuscripts in Dutch collections. The elements that go into this library are, just as in its model project e-codices Switzerland, high quality and complete images, high quality descriptions and an excellent search interface. The concept is simple, but the execution is not: what is the best model for creating such an aggregated library, and how can we deal with data that already exist? How can we facilitate collections to take care of their own material, and keep it updated within a collective system?</p>
Well (a Dutch 'welput'), Boazum, Netherlands
On the 16th of July 2017, a large hole opened up in the garden of a family in the Frisian village of Boazum, the Netherlands. The residents soon realised that it was the result of a collapse above a previously unknown brick-lined well in an overall good state of conservation. The construction was documented by using photogrammetry, and the resulting 3D model proved valuable for a further constructional and functional analysis. The well dates from the 19th century. It probably served to cool a nearby milk-cellar of an older farm that was demolished sometime after 1881. See also: https://www.academia.edu/38117271/ Source: Objaverse 1.0 / Sketchfab
Palmetto position storing Lucene index of Dutch Wikipedia
<p>Dutch language resource for calculating topic coherence with Palmetto [1, 2]. The dataset is a position storing Lucene index of the Dutch Wikipedia [3]. It was created in the context of the Netherlands eScience Center Dilipad project [4]. The pdf file contains the results of a case study that shows best topic coherence measure for topics consisting of Dutch nouns is NPMI.</p> <p>More details can be found in the README.</p> <p>[1] M. Roeder, A. Both, and A. Hinneburg. Exploring the space of topic coherence measures. In <em>Proceedings of the Eighth ACM International Conference on Web Search and Data Mining</em>, pages 399–408, 2015.</p> <p>[2] http://aksw.org/Projects/Palmetto.html</p> <p>[3] https://dumps.wikimedia.org/nlwiki/20151102/</p> <p>[4] https://www.esciencecenter.nl/project/dilipad</p>
Dutch language resources for spaCy
<p>Version 0.1.0 of the Dutch language resources for spaCy</p> <p>spaCy is a library for advanced natural language processing in Python and Cython. See also https://spacy.io/ and https://github.com/explosion/spaCy</p> <p>The Dutch language resources were trained with data from Universal Dependencies (UD_Dutch: https://github.com/UniversalDependencies/UD_Dutch and UD_Dutch-LassySmall: https://github.com/UniversalDependencies/UD_Dutch-LassySmall ) and CoNLL 2002 (http://www.cnts.ua.ac.be/conll2002/ner.tgz ; http://www.cnts.ua.ac.be/conll2002/ner/).</p> <p>More information about this data set can be found at https://github.com/nlesc-sherlock/spacy-dutch</p>
Why the Daisy sisters are different a stylometric study on the oeuvre of Swedish author Henning Mankell and the Dutch translations of his work
<ul><li>Corpus metadata.csv: metadata about the works that are included in the corpus (author, title, short title, year of first publication, translator, language, word count)</li><li>table_with_frequencies_Dutch.txt: Relative frequencies as used (and generated) by Stylo for the Dutch texts</li><li>table_with_frequencies_Swedish.txt: Relative frequencies as used (and generated) by Stylo for the Dutch texts</li><li>Zweedse originelen Mankell_Consensus_100-2000_MFWs_Culled_0-50__Classic Delta_C_0.5_EDGES.csv: CSV file of the Swedish corpus as produced by Stylo for import into Gephi.</li><li>Nederlandse vertalingen Mankell_Consensus_100-2000_MFWs_Culled_0-50__Classic Delta_C_0.5_EDGES.csv: CSV file of the translated Dutch corpus as produced by Stylo for import into Gephi.</li><li>oppose_config.txt: configurations in Stylo for the Zeta analysis</li><li>words_avoided_Dutch_random.txt: table of segments with less frequently used words for the results of the Zeta analysis of Daisy sisters versus other literary novels by Mankell in randomized word order (Dutch texts)</li><li>words_avoided_Swedish_random.txt: table of segments with less frequently used words for the results of the Zeta analysis of Daisy sisters versus other literary novels by Mankell in randomized word order (original Swedish texts)</li><li>words_preferred_Dutch_random.txt: table of segments with relatively more frequently used words for the results of the Zeta analysis of Daisy sisters versus other literary novels by Mankell in randomized word order (Dutch texts)</li><li>words_preferred_Swedish_random.txt: table of segments with relatively more frequently used words for the results of the Zeta analysis of Daisy sisters versus other literary novels by Mankell in randomized word order (Swedish texts)</li><li>stylo_config_consensus.txt: configurations Stylo for Bootstrap consensus analysis</li><li>stylo_config.txt: configurations Stylo for PCA</li></ul>
090 Ofenkachel / Dutch tile
# **Fundort / Site** Höxter, Kreis Höxter (Germany) # **Fundumstände / Circumstances of discovery** Keller eines Wohnhauses / Basement of a house Juli 1988 # **Objekt / Object** Bemalte, bleiglasierte Irdenware / Painted, lead-glazed pottery Höhe / Height: 33,5 cm Breite / Width: 21,5 cm Tiefe / Depth: 6,8 cm # **Datierung / Dating** Ca. 1547 Frühneuzeit / Early Modern Age Renaissance / Renaissance # **Fundverbleib / Repository** Stadt Höxter, Stadtarchäologie # **3-D-Modell / 3D model** Fotokamera / Photo camera: Nikon D850 Modellberechnung / Model processing: Reality Capture Modell / Model: LWL-Archäologie für Westfalen/Florian Westphal Source: Objaverse 1.0 / Sketchfab
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