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1,188 results for “Delta”
Datasets for "Recreational hunting as an ecosystem service of restoration in the Bay-Delta watershed"
<p>These are the raw data from two surveys of recreational hunters in northern California conducted from 2019-2021 in association with the Delta Stewardship Council funded project "Recreational hunting as an ecosystem service of restoration in the Bay-Delta watershed" (Agreement #18211). Intercept data were collected in-person at hunt sites during deer, upland gamebird, and waterfowl hunt seasons in 2019-20. Followup survey data were collected online from a subset of the original interceptees as well as No. Cal hunters solicited for participation via social media, snowball sampling, and hunter chatrooms. Headers refer to questionnaires archived in Zenodo at https://doi.org/10.5281/zenodo.5809668.</p>
Data of Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth
<p><strong>Data of the paper "Self-Weight Consolidation Process of Water-Saturated Deltas on Mars and Earth".</strong> This dataset includes five tables. <strong>Table S1</strong> is the original data of the measurements of the moisture content <em>w</em><sub>0</sub>, <strong>Table S2</strong> is the original data of the pycnometer test, which was conducted to obtain the specific gravity <em>G</em><sub>s</sub> of our samples, <strong>Table S3</strong> is the original data of the consolidation experiments, <strong>Table S4</strong> is the original data of the permeability experiments, and <strong>Table S</strong><strong>5</strong> is the martian global delta relief obtained by us based on MOLA data, which is used as the maximum thickness of a delta.</p> <p><strong>Table S1.</strong> The original data of the measurements of the moisture content <em>w</em><sub>0</sub>. The initial void ratio is calculated by equation (1). <em>A'</em> is the inner area of the consolidation container.</p> <p><strong>Table S2.</strong> The original data of the pycnometer test, which was conducted to obtain the specific gravity <em>G</em><sub>s</sub> of our samples. The specific gravity <em>G</em><sub>s </sub>can be derived from <em>m</em><sub>d</sub><em>G</em><sub>wT</sub> /(<em>m</em><sub>bw+</sub><em>m</em><sub>d+</sub><em>m</em><sub>bws</sub>), where <em>m</em><sub>d </sub>is the samples’ dry mass, <em>m</em><sub>bw </sub>is the total mass of the pycnometer and water,<em> m</em><sub>bws </sub>is the total mass of the pycnometer, water and samples, and <em>G</em><sub>wT</sub> is the specific gravity of pure water at<em> T </em>℃.</p> <p><strong>Table S3.</strong> The original data of consolidation experiments of our samples. The void ratio is calculated by equation (2).</p> <p><strong>Table S4. </strong>The original data of permeability experiments of our samples. The hydraulic conductivity <em>K </em>was calculated by equations (3) and (4). The inner area of the consolidation container is 30 cm<sup>2</sup>, the cross-sectional area<em> a' </em>of the water pipe is 0.89286 cm<sup>2</sup>, and the seepage path length <em>L</em> equals the sample initial height <em>h</em><sub>0</sub> minus the accumulated height <em>Σ</em>Δ<em>h</em><sub>i</sub>. <em>t</em>1 and <em>t</em>2<sub> </sub>are the first and the second test results of time-taken for water dropping from <em>H</em><sub>1</sub> to <em>H</em><sub>2</sub>, respectively. <em>t</em> is the average of <em>t</em>1 and <em>t</em>2. <em>T</em><em>’</em> is the temperature during the experiments. Note: we only test the <em>T</em><em>’</em> of the third group and here we used the average of <em>T’ </em>(=12.5℃) to represent the temperature of all three parallel groups during the experiments. It’s acceptable because <em>T’</em> varies slightly throughout the experiments, whose fluctuations hardly affect the order of magnitude of the hydraulic conductivity <em>K</em>. The seepage velocity <em>v</em>=<em>Q</em>/<em>A’t</em>, in which <em>Q</em> is the volume of water that seeps out of the samples.</p> <p><strong>Table S5.</strong> The delta relief of a delta. The locations of martian deltas are based on the database of Wilson et al. (2021)</p> <p> </p> <p> </p>
Magnetic Delta Scuti Stars
<p>Magnetic delta Scuti stars have been discovered only recently. As of today, 4 of them are known. They display very diverse magnetic field properties in terms of strength, topology, and origin. HD188774 hosts a fossil dipolar magnetic field typical of hot stars, beta Cas hosts a dynamo field in spite of its temperature (6920 K) possibly due to the fact it is rapidly rotating, rho Pup hosts a very weak field making it a cool counterpart of the magnetic Am stars, while the newly discovered magnetic star HD41641 is one of the rare cases hosting a fossil but complex magnetic field. I will summarize our current knowledge about magnetic delta Scuti stars and present in particular the latest discovery of HD41641 and its potential for magneto-asteroseismology. Indeed, Escorza et al. (2016) detected a number of frequencies associated with oscillation modes present within the star, with periods ranging between 10 and 20 d<sup>-1</sup>, making this star a good target for magneto-asteroseismology.</p>
Kondolf, Schmitt et al. 2022 - Save the Mekong Delta from Drowning - data for Figure 1
<p>R script and data (DEM, population, agricultural production) to analyze which values would be endangered by different levels of subsidence in the Mekong Delta. Data are obtained from publicly available sources, but please confirm original sources for data use and sharing (in Data/Metadata.docx). </p>
Fig. 5 in Infection Of Predatory Fish With Larvae Of Eustrongylides Excisus (Nematoda, Dioctophymatidae) In The Delta Of The Dnipro River And The Dnipro-Buh Estuary In Southern Ukraine
Fig. 5. Anterior end of the body of E. еxcisus larva from pike. Arrows show two circles of papillae. x400 magniFIcatoin.
Fig. 10 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 10. Canthocamptus waldemarschneideri sp. nov., ♂, Yuzshnoe Lake (KFU). A. P2 endopod, anterior view. B. P2 endopod, outer side. C. P3 endopod, anterior view. D. P3 endopod, inner side.
Fig. 11. A in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 11. A. Quartet puzzling tree of the genus Canthocamptus Westwood, 1836, constructed by the parsimony method based on the matrix from Supp. file 1. Dots mark the main changes in character states in studied branches. Changes in the characters are marked under the dot. B. Attheyella nordenskioldii (Lilljeborg, 1902), ♂, P2 endopod. Generic abbreviations: A. = Attheyella; B. = Bryocamptus; C. = Camptocamptus; E. = Elaphoidella; H. = Heteropsyllus; K. = Kikuchicamptus gen. nov.; M. = Mesochra.
Fig. 8 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 8. Canthocamptus waldemarschneideri sp. nov., allotype, ♂ (KFU BP 544/2). A. Antennule, dorsal view. B. Antennule, anterior view. C. P5.
Fig. 9 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 9. Canthocamptus waldemarschneideri sp. nov., allotype, ♂ (KFU BP 544/2). A. P2. B. P3; small seta indicated by arrowhead. C. P4.
Fig. 5 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 5. Canthocamptus waldemarschneideri sp. nov., holotype, ♀ (KFU BP 544/1). A. Maxilla. B. P1. C. P5; setae of endopodal lobe are labeled with Roman numerals, seta V indicated by arrowhead.
Fig. 4 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 4. Canthocamptus waldemarschneideri sp. nov., holotype, ♀ (KFU BP 544/1). A. Antennule. B. Antenna. C. MaXillule, without arthrite. D. MaXillule, arthrite.
Fig. 3 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 3. Canthocamptus waldemarschneideri sp. nov., holotype, ♀ (KFU BP 544/1). A. Abdomen, dorsal view; setae of caudal ramus are labeled with Roman numerals. B. Abdomen, ventral view.
Fig. 1 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 1. Canthocamptus waldemarschneideri sp. nov. A. Paratype, ♀ (KFU BP 544/4); habitus, lateral view. B–D. Holotype, ♀ (KFU BP 544/1). B. Caudal setae IV and V. C. Labrum. D. Mandible.
Fig. 2 in Revision of the genus Canthocamptus (Copepoda: Harpacticoida) with a description of a new species from the Lena River Delta (North-eastern Siberia)
Fig. 2. Canthocamptus waldemarschneideri sp. nov., holotype, ♀ (KFU BP 544/1). A. Cephalothorax and thoracic somites, dorsal view. B. CephalothoraX and thoracic somites, lateral view. C. Maxilliped.
DeLTA (Deep Learning Techniques for noise Annoyance detection) Dataset
<p>The Deep Learning Techniques for noise Annoyance detection (DeLTA) dataset comprises 2,980 15-second binaural audio recordings collected in urban public spaces across London, Venice, Granada, and Groningen (sourced from <a href="https://doi.org/10.5281/zenodo.5578572">International Soundscape Database</a>). A remote listening experiment was designed and hosted on Gorilla Experiment Builder, a professional online platform used for studying complex behaviours. The survey was then distributed via Prolific to a pool of pre-registered participants (N=1,221), and data collected between July 5th and July 23rd, 2021.</p> <p>During the listening experiment, participants listened to ten 15-second-long binaural recordings of urban environments and were instructed to select all the sound sources they could identify within the recording and then to provide an annoyance rating (from 1 to 10). For the sound source recognition task, participants were provided with a list of 24 labels they could select from. To collapse these into a single set of sound sources per recording, a “consensus” approach was considered, i.e., if two or more participants identified a source as being present in a recording, this source was considered to be effectively present. This resulted in a 2890 by 24 data frame (2890 recordings, each with up to 23 possible labels present and an average annoyance rating). On average, each recording has 3.2 identified sound sources present.</p> <p>Due to the constraints of the online survey software, Mp3 files were used for the listening experiment. Higher quality 24- or 32-bit 48kHz WAV files can be made available from the authors upon request. Each binaural audio recording consists of a 2 channel Mp3 file.</p>
Data supplement to "From Grains to Plastics: Modeling Nourishment Patterns and Hydraulic Sorting of Fluvially Transported Materials in Deltas"
<p>Supplementary data and codes for "From Grains to Plastics: Modeling Nourishment Patterns and Hydraulic Sorting of Fluvially Transported Materials in Deltas". Zipped files contain ANUGA hydrodynamic model outputs, dorado particle-routing simulation outputs, Python scripts for running additional dorado simulations, and other metadata used in the analysis of dorado outputs. See README for additional details about directory contents. Note that this directory does not contain the model software itself, which is available on GitHub and has been archived elsewhere (relevant links can be found in README).</p>
Po delta to Gulf of Trieste: Microbiological connectivity study and field testing of a Video-CTD probe prototype (JERICO-S3 PoGo project)
<p>ADCP and CTD data from field campaigns at S1-GB site (Po delta, Italy) performed in the scope of the JERICO-S3 PoGo project. This is raw data as collected by both instruments. The CTD prototype is under development at National Institute of Biology, Marine Biology Station Piran and hasn't been fully calibrated. The new recalibrated values have been added to mini-CTD-recalibrated archive.<br>The project report is available in this repository and at: https://www.jerico-ri.eu/ta/call-program/third-call/</p>
DeltaCAN: A new data set of Canadian Arctic and subarctic coastal deltas
<p>Arctic coasts constitute the critical interface between land and sea, and are subject to rapid changes caused by a warming climate. Current trends throughout the Arctic show increasing erosion trends, while other parts of the coast are experiencing prograding trends. Until now, a vast majority of our knowledge of Arctic coastal evolution is confined to site-specific studies with limited geospatial representation. Here, we present DeltaCAN, a novel data set on the locations of Canadian deltas larger than 500 m in width derived by visual interpretation of freely available satellite imagery. DeltaCAN is Canada's first nationwide coastal detection covering 250.000 km of coastline in the Arctic, identifying 2712 deltas. The inventory is based on inspection of remotely-sensed satellite imageries, developed through an expert-based mapping approach where we implemented a quality control mechanism to assess the completeness of the data set. The DeltaCAN data set allows for assessing changes at an unprecedented spatial extent, improving our understanding of delta morphodynamics.</p>
Figs. 1 A-E. A in Arecaceae Bercht. & J.Presl. no Litoral Piauiense, Delta do Parnaíba, Piauí, Brasil
Figs. 1 A-E. A. Astrocaryum vulgare Mart. (Nascimento 41) Hábito de indivíduo adulto; B. Inflorescência; C, D. C. Copernicia prunifera (Miller) H.E Moore (Nascimento 42) Hábito; D. Detalhe do fruto. E. Inflorescência. Barras: Fig. A = 1,5 cm; Figs. B, D, E = 1 cm; Fig. C = 2,1 cm
Figs. 4. A-D in Taxonomic survey of the Araceae Juss. in the coastal region of Piauí state, northeast Brazil, including the Rio Parnaíba Delta
Figs. 4. A-D. Araceae from the coastal region of Piauí. A. Spathicarpa gardneri Schott, plant on ground seen from above, inflorescence in side view (detail); B. Taccarum ulei Engl. & K. Krause, surface view of single leaf, inflorescence and petiole (detail); C. Wolffiella lingulata (Hegelm). Hegelm., population of numerous plants in habitat, two plants (detail); D. Wolffiella oblonga (Phil.) Hegelm., plants floating in specimen dish. Bars Fig. A = 0,9 cm; Fig. B = 5,7 cm; Fig. C = 0,2 mm; Fig. D = 0,5 mm.
ScienceDex guides
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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.