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opencc-by-4.0Aug 2024View details →

Observational data in the maiden voyage of the Sun Yat-sen University Research Vessel

From 15 to 18 June 2022, the Sun Yat-sen University research vessel conducted its maiden voyage for scientific expedition in northern SCS. Radiosonde-equipped sounding balloons were launched up during the observation period to measure meteorological elements.  This dataset encompasses a range of parameters, sequentially detailing Elapsed Time, Ascension Rate, Height Above Mean Sea Level, Atmospheric Pressure, Ambient Temperature, Relative Humidity, Dew Point Temperature, Wind Direction, and Wind Speed.  During the observation period, the data obtained from the radiosonde measurements are as follows:

opencc-by-4.0Nov 2024View details →

TEI/XML Files of Travel Diaries of Moravian See Voyages

Open the record for dataset details and reuse information.

opencc-by-4.0Jun 1991View details →

Fig. 5 in Cigales colligées lors des «Voyages de découvertes» conduits par J. Dumont d'Urville. Description de Poecilopsaltria durvillei, n. sp. (Horn. Cicadoidea, Cicadidae)

Fig. 5 ct 6. Poecilopsaltria durvillei n. sp. mâle paratype, segments génitaux vus dc profil (5) et apex plus grossi dc l'édéage (6).

opencc-by-4.0Jun 1991View details →

Fig. 3 et 4 in Cigales colligées lors des «Voyages de découvertes» conduits par J. Dumont d'Urville. Description de Poecilopsaltria durvillei, n. sp. (Horn. Cicadoidea, Cicadidae)

Fig. 3 et 4. _ Poecilopsaltria durvillei n. sp. 3, mâle holotype, capturé près de la Baie du Triton (Nouvelle-Guinée) par J. DUMONT D`URVILLE en avril 1839. — 4, vue ventrale.

opencc-by-4.0Jun 1991View details →

Fig. 1 et 2 in Cigales colligées lors des «Voyages de découvertes» conduits par J. Dumont d'Urville. Description de Poecilopsaltria durvillei, n. sp. (Horn. Cicadoidea, Cicadidae)

Fig. 1 et 2. — Hamza ciliaris (Linné, 1758) (=Cicada ocellata Degeer, 1773). — 1, le mâle pris par H. Jacquinot dans les îles Banda (« Balaou », porté sur la grande étiquette, semble être une erreur de transcription); cet exemplaire, et le suivant, ont été déterminés «Pflatypleura] marmorata» (déterminateur inconnu), puis « Platypleura ciliaris» par Distant (étiquette placée à droite à l'italienne). 2, l'une des femelles prises à Amboine par J. B. Hombron. (G. X 2,15).

opencc-by-4.0Jul 2023View details →

Datasets associated with Uruti Basin gas hydrate heat flow feature investigated as part of Roger Revelle voyage RR1508

Processed seismic reflection data and associated files from Roger Revelle voyage RR1508: 16 May - 18 June 2015. The research voyage  aimed to characterise the thermal regime of the gas hydrate systems on the southern Hikurangi margin east of New Zealand. Data were processed using the Globe Claritas processing software. All SEG-Y files have the following binary header word definitions, required for loading data: Start time: 2-byte integer: Bytes 105-106 Trace Sample Count: 2-byte integer: Bytes 115-116 Sample Interval (microseconds): 2-byte integer: Byte 117-118 CDP Number: 4-byte integer: Bytes 5-8 CDP X location: 4-byte integer: Bytes 197-200 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum) CDP Y location: 4-byte integer: Bytes 201-204 (Note: Coordinates are in metres of UTM Zone 60S, WGS84 Datum)

opencc-by-4.0Oct 2020View details →

Southern Ocean Cloud and Aerosol data set: a compilation of measurements from the 2018 Southern Ocean Ross Sea Marine Ecosystems and Environment voyage

Due to its remote location and extreme weather conditions, atmospheric in situ measurements are rare in the Southern Ocean. As a result, aerosol-cloud interactions in this region are poorly understood and remain a major source of uncertainty in climate models. This, in turn, contributes substantially to persistent biases in climate model simulations, numerical weather prediction models and reanalyses. It has been shown in previous studies that in situ and ground-based remote sensing measurements across the Southern Ocean are critical for complementing satellite data sets due to the importance of boundary layer and low-level cloud processes. These processes are poorly sampled by satellite-based measurements which are typically obscured by near-continuous overlying cloud cover observed in this region. Here we provide a comprehensive set of ship-based aerosol and meteorological observations collected on the TAN1802 voyage of R/V Tangaroa across the Southern Ocean, from Wellington, New Zealand, to the Ross Sea, Antarctica. The voyage was carried out from 8 February to 21 March, 2018. The compiled data set provides here includes measurements from a range of instruments, such as (i) meteorological conditions at the sea surface and profile measurements; (ii) the size and concentration of particles; (iii) trace gases dissolved in the ocean surface such as dimethyl sulfide and carbonyl sulfide; (iv) and remotely sensed observations of low clouds. We encourage the scientific community to use these measurements for further analysis and model evaluation studies, in particular, for studies of Southern Ocean clouds, aerosol and their interaction.

opencc-byJul 2022View details →

Polynesian Voyaging Canoe

[![](https://blog.sketchfab.com/scripts/assets/weekly.png)](https://sketchfab.com/blogs/community/sketchfab-weekly/?ref=sfb) The journey untraveled is the journey unexplored. For ancient Polynesians, that journey started with wood. Sailing across the Pacific meant the Polynesian people had to endure the forces of waves and the gravity of swells, and needed to posess the perseverance to sail onward, no matter what the seas held ahead. Resisting erosion, the Polynesian culture carried on within Hawaii – embracing the Aloha and utilizing the Koa wood that grew abundantly throughout the islands. Hawaiian double-hulled voyaging canoes were guided by the stars and the eyes that gazed upon them. Their journeys were an endless rebirth of the thousands of sailors that took to the open ocean in the name of exploration – telling the stories of their past, looking onward toward whatever the horizon granted. Bones of the Hōkūleʻa, spirit of the Pacific. Modeled in Blender, textured in Painter. Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Dec 2016View details →

Figure 2. RRS William Scoresby served the Discovery Expedition for eight voyages from 1926 in The Discovery Expedition sea cucumbers (Echinodermata: Holothuroidea)

Figure 2. RRS William Scoresby served the Discovery Expedition for eight voyages from 1926 to 1951.

opencc-by-sa-4.0Nov 2024View details →

PM_109877_Souvenir_de_Voyage_1901

File Name: PM_109877_Souvenir_de_Voyage_1901.jpg Sublocation: None Location: None Province: None Country: France Header: Photoalbum Souvenir de Voyage 1901. Page 34 et 35. Description: Photo album (Souvenir de Voyage 1901) Page 34 and 35 Keywords: Antique photograph, Cultural heritage, Europe, France, Museum/private collection, Techniques, privé, privé collecties Author: Photographer unknown Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

PM_109904_Souvenir_de_Voyage_1901

File Name: PM_109904_Souvenir_de_Voyage_1901.jpg Sublocation: None Location: None Province: None Country: France Header: Photoalbum Souvenir de Voyage 1901. Page 46 et 47. Description: Photo album (Souvenir de Voyage 1901) Page 46 and 47 Keywords: Antique photograph, Cultural heritage, Europe, France, Museum/private collection, Techniques, privé, privé collecties Author: Photographer unknown Copyright: Paul M.R. Maeyaert

opencc-by-sa-4.0Nov 2024View details →

PM_109818_Souvenir_de_Voyage_1901

File Name: PM_109818_Souvenir_de_Voyage_1901.jpg Sublocation: None Location: None Province: None Country: France Header: Photoalbum Souvenir de Voyage 1901. Page 6 et 7. Description: Photo album (Souvenir de Voyage 1901) Page 6 and 7 Keywords: Antique photograph, Cultural heritage, Europe, France, Museum/private collection, Techniques, privé, privé collecties Author: Photographer unknown Copyright: Paul M.R. Maeyaert

opencc-by-4.0Feb 2022View details →

Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations

The spreadsheets of monthly data used for Figure 2 in the paper " Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations" submitted to Geophysical Research Letters by the authors, and an explanatory text file named "Readme".

dryad36/100

Molecular phylogeny reveals the past transoceanic voyages of drywood termites (Isoptera, Kalotermitidae)

Termites are major decomposers in terrestrial ecosystems and the second most diverse lineage of social insects. The Kalotermitidae form the second-largest termite family and are distributed across tropical and subtropical ecosystems, where they typically live in small colonies confined to single wood items inhabited by individuals with no foraging abilities. How the Kalotermitidae have acquired their global distribution patterns remains unresolved. Similarly, it is unclear whether foraging is ancestral to Kalotermitidae or was secondarily acquired in a few species. These questions can be addressed in a phylogenetic framework. We inferred time-calibrated phylogenetic trees of Kalotermitidae using mitochondrial genomes of ~120 species, about 27% of kalotermitid diversity, including representatives of 21 of the 23 kalotermitid genera. Our mitochondrial genome phylogenetic trees were corroborated by phylogenies inferred from nuclear ultraconserved elements derived from a subset of 28 species. We found that extant kalotermitids shared a common ancestor 84 Mya (75–93 Mya 95% HPD), indicating that a few disjunctions among early-diverging kalotermitid lineages may predate Gondwana breakup. However, most of the ~40 disjunctions among biogeographic realms were dated at less than 50 Mya, indicating that transoceanic dispersals, and more recently human-mediated dispersals, have been the major drivers of the global distribution of Kalotermitidae. Our phylogeny also revealed that the capacity to forage is often found in early-diverging kalotermitid lineages, implying the ancestors of Kalotermitidae were able to forage among multiple wood pieces. Our phylogenetic estimates provide a platform for critical taxonomic revision and future comparative analyses of Kalotermitidae.

opencc-zeroApr 2022View details →

opencc-by-4.0May 2023View details →

VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets

List of files: <ul> <li>odps.json: for each of the accessed ODPs, its name, URL, API type, API URL, and the IDs of RDF datasets collected from it <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'name' (string), 'URL' (string), 'API type' (string), 'API URL' (string), and 'collected datasets IDs' (list of integers) </li> </ul> </li> <li>datasets.json: for each of the crawled RDF datasets, its ID, title, description, author, license, dump file URLs, and PLDs <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'ID' (integer), 'title' (string), 'description' (string), 'author' (string), 'license' (string), 'dump file URLs' (list of strings), and 'PLDs' (list of strings) </li> </ul> </li> <li>deduplicated_datasets.json: the IDs of the deduplicated RDF datasets and whether they are in the LOD Cloud <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'ID' (integer) and 'in LOD Cloud' (boolean) </li> </ul> </li> <li>terms.json: the extracted classes, properties, and the IDs of RDF datasets using each term <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'term' (string), 'is class' (boolean), 'is property' (boolean), and 'used in dataset IDs' (list of integers) </li> </ul> </li> <li>vocabularies.json: the extracted vocabularies, the classes and properties in each vocabulary, and the IDs of RDF datasets using each vocabulary <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'vocabulary' (string), 'classes' (list of strings), 'properties' (list of strings), and 'used in dataset IDs' (list of integers). </li> </ul> </li> <li>edps.json: the extracted distinct EDPs and the IDs of RDF datasets using each EDP <ul> <li> JSON structure: a list of objects, where each object contains the following attributes - 'classes' (list of strings), 'forward properties' (list of strings), 'backward properties' (list of strings), and 'used in dataset IDs' (list of integers) </li> </ul> </li> <li>clusters.json: the clusters of vocabularies generated by MV-ITCC and LDA <ul> <li> JSON structure: {"LDA": {"vocabularies": {VOCABULARY_CLUSTER_ID_1: [LIST_OF_VOCABULARIES], VOCABULARY_CLUSTER_ID_2: [LIST_OF_VOCABULARIES], ...}}, "MV-ITCC": {"vocabularies": {VOCABULARY_CLUSTER_ID_1: [LIST_OF_VOCABULARIES], VOCABULARY_CLUSTER_ID_2: [LIST_OF_VOCABULARIES], ...}, "dataset IDs": {DATASET_CLUSTER_ID_1: [LIST_OF_DATASET_IDS], DATASET_CLUSTER_ID_2: [LIST_OF_DATASET_IDS], ...}}} </li> </ul> </li> </ul>

Computer Simulation of Viking Voyages: Roar_Ege_September_2015

Contains computer simulated routes of Viking voyages for the Roar Ege, with wind data from September 2015. Divided by Route_Month_Year_RouteNumber_Date_Time.

Computer Simulation of Viking Voyages: Roar_Ege_March_2015

Contains computer simulated routes of Viking voyages for the Roar Ege, with wind data from Marcg 2015. Divided by Route_Month_Year_RouteNumber_Date_Time.

Computer Simulation of Viking Voyages: Roar_Ege_June_2015

Contains computer simulated routes of Viking voyages for the Roar Ege, with wind data from June 2015. Divided by Route_Month_Year_RouteNumber_Date_Time.

Computer Simulation of Viking Voyages: Roar_Ege_December_2015

Contains computer simulated routes of Viking voyages for the Roar Ege, with wind data from December 2015. Divided by Route_Month_Year_RouteNumber_Date_Time.

Computer Simulation of Viking Voyages: Oseberg_September_2021

Contains computer simulated routes of Viking voyages for the Oseberg, with wind data from September 2021. Divided by Route_Month_Year_RouteNumber_Date_Time.