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IN02002 Changu Narayana Pillar North Shaft Inscription
<p>Gnoli, Raniero. <em>Nepalese Inscriptions in Gupta Characters</em>. Roma: Is. M. E. O. 1956. Plate 2, Inscription 1, pp. 1-3. </p>
Model projections of North Sea cod under deep uncertainty
<p>This is model output generated with code publicly available on Github (https://github.com/imf-uham/DMDU_North_Sea).</p>
Supporting data for "Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America"
<p>This is a supporting dataset for the paper :</p> <div> <div>Yang, J. C., Bowling, D. R., Smith, K. R., Kunik, L., Raczka, B., Anderegg, W. R. L., Bahn, M., Blanken, P. D., Richardson, A. D., Burns, S. P., Bohrer, G., Desai, A. R., Arain, M. A., Staebler, R. M., Ouimette, A. P., Munger, J. W., and Litvak, M. E.: Forest carbon uptake as influenced by snowpack and length of photosynthesis season in seasonally snow-covered forests of North America, Agricultural and Forest Meteorology, 353, 110054, <a href="https://doi.org/10.1016/j.agrformet.2024.110054">https://doi.org/10.1016/j.agrformet.2024.110054</a>, 2024.</div> </div> <p>Descriptions and units for each column can be found in a dedicated page within the data file. Methods are decribed in the paper.</p>
A Quantitative Tomotectonic Plate Reconstruction of Western North America and the Eastern Pacific Basin
<p>The two plate model archives in this directory are linked to the paper (<em>Geochemistry, Geophysics, Geosystems</em>, in press):</p> <p>A Quantitative Tomotectonic Plate Reconstruction of Western North America and the Eastern Pacific Basin by Edward J. Clennett1, Karin Sigloch1, Mitchell G. Mihalynuk2, Maria Seton3, Martha A. Henderson2, Kasra Hosseini1,4, Afsaneh Mohammadzaheri1, Stephen T. Johnston5, and R. Dietmar Muller3</p> <p>1. Department of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK</p> <p>2. British Columbia Geological Survey, P.O. Box Stn Prov Govt, Victoria, BC, V8W 9N3, Canada</p> <p>3. EarthByte Group, School of Geosciences, The University of Sydney, NSW 2006, Australia</p> <p>4. The Alan Turing Institute, British Library, 96 Euston Road, London NW1 2DB, UK</p> <p>5. Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, AB T6G 2E3, Canada</p> <p>The zipped archive contains two plate models: <strong>Clennett_etal_2020_M2019.zip</strong> and <strong>Clennett_etal_2020_S2013.zip</strong>. The former is our model in the Müller et al. (2019) reference frame, and the latter is our model implemented into the Shephard et al. (2013) plate reconstruction. Both of these folders contain the same types of files: coastlines, plate boundaries, plate topologies, a rotation file and terrane shapefiles.</p> <p>To view the models, open GPlates (downloadable at: <a href="https://www.gplates.org">www.gplates.org</a>), click 'File' > 'Open Project', navigate to the folder containing the desired model, and then click on the file <strong>Clennett_etal_2020_G3_XXXX.gproj</strong>. This will simultaneously open all the files that comprise the model. A layers panel will appear, with the option to turn on/off certain files. The view can be changed by clicking on the globe, and the model can be run by clicking the play button in the animation bar, starting from 170Ma. Features can be inspected by clicking the 'choose feature' tab, selecting a feature, and clicking 'query feature'.</p> <p>The files that comprise the model are described below:</p> <p>1. <strong>Clennett_etal_2020_Coastlines.gpml</strong>: Coastlines used in the reconstruction. The coastlines of western North America and Mexico were edited from the global model to account for later terrane accretions. </p> <p>2. <strong>Clennett_etal_2020_NAm_bounds.gpml</strong>: File containing the new plate boundaries digitised in this study.</p> <p>3. <strong>Clennett_etal_2020_Plates.gpml</strong>: File containing the edited plate boundaries of the global model, as well as our new continuously-closing plate topologies.</p> <p>4. <strong>Clennett_etal_2020_Rotations.rot</strong>: This is the rotation file that contains the relative motions between plates, terranes and plate boundaries for western North America and the eastern Pacific basin. The first column specifies the plate ID, the second column the timestep, the third, fourth and fifth columns are the latitude, longitude and angle of the stage rotations, and the sixth column is the plate that the feature moves relative to. Most lines are accompanied with a comment describing the rotation.</p> <p>5. <strong>Clennett_etal_2020_Terranes.gpml</strong>: This file contains all the terranes shown in the model. We further divided these into superterranes, so that each can be coloured accordingly for better visualisation purposes: a. Angayucham.gpml b. Farallon.gpml c. Guerrero.gpml d. Insular.gpml e. Intermontane.gpml f. Kula.gpml g. North_America.gpml h. Western_Jurassic.gpml</p> <p>6. <strong>Movie</strong> <strong>S1</strong>. Movie showing plate evolution at 1 million-year intervals, embedded within the Muller et al. (2019) global model. Blue boundaries are subduction zones, red boundaries are mid-ocean ridges, green boundaries are transform faults, and pink boundaries are other unspecified boundaries. Plates are not labelled but can be identified from figures 5-10.</p> <p>7. <strong>Movie S2</strong>. Movie showing plate evolution at 1 million-year intervals, embedded within the Shephard et al. (2013) global model. Blue boundaries are subduction zones, red boundaries are mid-ocean ridges, green boundaries are transform faults, and pink boundaries are other unspecified boundaries. Plates are not labelled but can be identified from figures 5-10.</p> <p> </p> <p>The agegrids and spreading rate grids associated with this model can be accessed at: <a href="https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Clennett_etal_2020_G3/" target="_blank" rel="noopener">https://repo.gplates.org/webdav/PlateModel_Age_SR_Grids/Clennett_etal_2020_G3/</a></p>
LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)
<p><em>LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>LBBG_ZEEBRUGGE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study has been operational from 2013 until 2023. In total 162 individuals of lesser black-backed gull (<em>Larus fuscus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected.</p> <h2>Files</h2> <p>Data in this package are exported from Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study985143423">985143423</a>. Fields in the data follow the <a href="http://vocab.nerc.ac.uk/collection/MVB">Movebank Attribute Dictionary</a> and are described in <code>datapackage.json</code>. Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/records/12336021/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>LBBG_ZEEBRUGGE-reference-data.csv</strong>: reference data about the animals, tags and deployments.</li> <li><strong>LBBG_ZEEBRUGGE-gps-yyyy.csv.gz</strong>: GPS data recorded by the tags, grouped by year.</li> <li><strong>LBBG_ZEEBRUGGE-acceleration-yyyy.csv.gz</strong>: acceleration data recorded by the tags, grouped by year.</li> </ul> <h2>Acknowledgements</h2> <p>This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.</p>
IN02002 Changu Narayana Pillar North Shaft Inscription. Sanskrit XML file, draft epidoc edition
<p>IN02002 Changu Narayana Pillar North Shaft Inscription. Sanskrit XML file (without metadata). Draft epidoc edition to be incorporated into 'Siddham' archive</p>
Final model for "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018)
<p>The HDF5 file contains the final model of the paper "Automated Large-Scale Full Seismic Waveform Inversion for North America and the North Atlantic" by Krischer et al. (2018), soon to be published in the Journal of Geophysical Research - Solid Earth.</p> <p>The "coordinates_0", "coordinates_1", and "coordinates_2" data sets are the coordinates along each dimension, here colatitude in degree, longitude in degree, and radius in meter, respectively. The regularly sampled data is available in five 3D-arrays in the "data" group: "vp", "vsv", "vsh", "rho", and "Q". Velocities are defined at 1 Hertz and are given in km/s, the density in kg/m^3. Q is Q_mu.</p> <p>The coordinates have to be rotated to yield true spherical Earth coordinates. They have to be rotated around on axis vector of 0.766044443118978/0.6427876096865393/0.0 in cartesian x/y/z coordinates by -30.0 degrees. Conversion of spherical to cartesian coordinates happens with the standard convention:</p> <p>x = r sin(theta) cos(phi)<br> y = r sin(theta) sin(phi)<br> z = r cos(theta)</p>
Bathymetry from multibeam data collected on the RV Heincke, cruises HE-324 and HE-349, North Sea, Helgoland (Germany)
<p>Mosaicked multibeam-derived bathymetry from Simrad EM710 on board RV Heincke collected during Spring 2010 (HE- 324) and 2011 (HE-349). Water depths range from 20 to 50 meters. The range of opening angles of the EM710 multibeam varies between 50 and 65 degrees. EM710 data were used in conjunction with an OCTANS motion sensor, ship’s DGPS and Sound Velocity Profiles (SVP). CRS information: WGS 84 / UTM zone 32N.</p>
बोधगया, बिहार. General view of the excavations on the north side of the main temple.
<p>बोधगया, बिहार. General view of the excavations on the north side of the main temple. British Museum 1897,0528,0.125 a. © ब्रिटिश म्यूजियम</p>
Supplementary Material for "Formal methods in dependable systems engineering: a survey of professionals from Europe and North America"
<p>This report contains supplemental material for <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this paper</a>, including a detailed analysis of responses to certain questions, further visualizations of the collected data, details on our analysis of related work, and a copy of the whole questionnaire. This material was shared for the period of peer review and has been significantly updated, extended, and included in <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this journal publication</a>.</p>
Checklist of the moss of aquatic and riverside habitats of the Komi Republic (European North-East of Russia)
<p>Представленная информация о мхах водных и прибрежно-водных местообитаний Республики Коми является дополнением к статье Г.В. Железновой, Т.П. Шубиной, Б.Ю. Тетерюка «Анализ флоры мхов водных и прибрежно-водных местообитаний Республики Коми», принятой к публикации в журнале «Известия Коми НЦ УрО РАН» в 2019 г.</p> <p>Список включает 275 таксонов мхов из 103 родов и 37 семейств. Он составлен на основе фактического материала, хранящегося в гербарии Института биологии Коми научного центра Уральского отделения Российской академии наук (SYKO) (УНУ «Научный гербарий SYKO Института биологии Коми НЦ УрО РАН») и литературных сведений (Ruprecht, 1850; Zickendrath, 1895, 1900; Поле, 1915; Кильдюшевский, 1956; Куваев, 1970).</p> <p>Исследованиями были охвачены прибрежные и водные местообитания водотоков и озер Республики Коми. На равнинной территории сборы выполнены в пределах тундры (подзона южной тундры), лесотундры, тайги (подзоны северной и средней тайги), в горах – на Полярном, Приполярном и Северном Урале. Полевые бриологические исследования проводились с использованием маршрутного и стационарного методов.</p> <p>Объем семейств, родов и названия видов приведены в основном согласно списку мхов Восточной Европы и Северной Азии (Check-list…, 2006)</p> <p>The checklist provides information about mosses aquatic and riverside habitats of the Komi Republic. It is a supplement to the article by G. V. Zheleznova, T. P. Shubina, B. Yu. Teteryuk "Analysis of the moss flora of aquatic and riverside habitats of the Komi Republic (European North-East of Russia)", accepted for publication in the journal "Proceedings of the Komi Science Center URD RAS" in 2019.</p> <p>The checklist includes 275 moss taxa from 103 genera and 37 families. It is based on the samples preserved in the Herbarium of the Institute of Biology of the Komi Scientific Center of the Ural Branch of the Russian Academy of Sciences (SYKO) and literary data (Ruprecht, 1850; Zickendrath, 1895, 1900; Pole, 1915; Kildyushevsky, 1956; Kuvaev, 1970). The species names were given according to “Checklist of mosses of East Europe and North Asia” (2006).</p> <p>The mosses were collected in aquatic and riverside habitats of the mountains and plain territories of the Komi Republic. The research covered three parts of the Urals mountain range: the Polar Urals, the Subpolar Urals and the Northern Urals. The plain territory was covered within the southern tundra, forest tundra, northern taiga and middle taiga.</p>
बोधगया, बिहार. Temple from the north before restoration.
<p>बोधगया, बिहार. Temple from the north before restoration. British Museum 1897,0528,0 series. Photograph by Thomas Fraser Peppé (1826-1907) in about 1865, collected by A. W. Franks from Alexander Cunningham and bequeathed by Franks to the British Museum in 1897. © ब्रिटिश म्यूजियम</p> <p><strong><a href="https://www.britishmuseum.org/terms-use/copyright-and-permissions/images-and-photography">ब्रिटिश म्यूजियम फोटोग्राफी सेवा</a></strong></p>
Regional model results (combined) for the six transition potentials (one for Africa, Australia, Asia, Europe, North America, and South America)
<p>Results for the six regional models showing areas of high potential to transition from tree cover to tree cover loss to areas of low potential to transition.</p>
Geographic variation of tree height of Pinus pinaster Aiton gathered from common gardens in Europe and North-Africa
<p>This dataset collects individual georeferenced tree height data from <em>Pinus pinaster</em> Aiton planted in common gardens in France, Morocco and Spain, between years 1966 and 1992. The experimental design varies depending on the common garden, from a randomized complete to incomplete block design, RCB or RIB, respectively. The final dimension of the dataset is 123,801 individual tree height data measurements <em> </em>with 14 common gardens and 182 different genetic units. The data can be used to assess genetic variation and phenotypic plasticity with further applications in biogeography and forest management. </p>
CLDF dataset derived from Marrison's "Naga Languages of North-East India" from 1967
<p>Cite the source of the dataset as:</p> <blockquote> <p>Marrison, Geoffrey Edward (1967) : The classification of the Naga languages of North-East India. London: School of African and Oriental Sciences.</p> </blockquote>
Stratigraphic Framework of the US Eastern North American Margin
<p>The current dataset consists of seismic picks, and structural and isopach maps that depict the stratigraphic division of the sedimentary cover of the US part of the Eastern North American Margin. The stratigraphic analysis is based on tied seismic and well data spanning the continental shelf, slope and rise from Cape Hatteras to the US-Canada maritime border. In addition, it incorporates published hydrostratigraphic data that divide the coastal plain sedimentary cover. File formats are GeoTiff and Zmap+ (grids) and .CSV and .shp (points). Seismic interpretation, well analysis, stratigraphic correlation and data curation were done as part of a PhD study (Lang, 2023). </p>
National Checklists 2017: North America Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>List of species from North America inferred from individual country lists that were derived from effechecka and modified geonames polygons
National Checklists 2017: North Korean Species List
Lists of taxa for each country and a few other administrative zones harvested from effechecka using simplified versions of geonames polygons. See <p></p>https://github.com/diatomsRcool/checklists for details<p></p>A list of species from North Korea collected using effechecka and geonames polygons
Water Body Checklists 2019: North Sea Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the North Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
Water Body Checklists 2019: North Pacific Species List
Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.<p></p>List of species collected from the North Pacific Ocean region using effechecka and a modified polygon from the International Hydrographic Association.
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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.