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55 results for “Deep lakes”
Lake Sediment Pollen and Charcoal from Deep Pond in Falmouth MA from 13188 BP to Present
Aim We analyzed a dataset composed of multiple palaeoclimate and lake-sediment pollen and charcoal records from New England to explore how postglacial changes in forest composition and spatial patterns of vegetation and fire were controlled by regional-scale climate change, a subregional environmental gradient, and landscape-scale variations in soil characteristics. Location The 120,000-km2 study area includes parts of Vermont and New Hampshire in the north, where sites are 150-200 km from the Atlantic Ocean, and spans the coastline from southeastern New York to Cape Cod and the adjacent islands, including Block Island, the Elizabeth Islands, Nantucket, and Martha’s Vineyard. Results Boreal forest featuring Picea and Pinus banksiana was present across the region when conditions were cool and dry 14,000-12,000 calibrated 14C yrs before present (ybp). Pinus strobus became regionally dominant as temperatures increased between 12,000 and 10,000 ybp. The composition of forests in inland and coastal areas diverged in response to further warming after 10,000 ybp, when Quercus and Pinus rigida expanded across southern New England, while conditions remained cool enough in inland areas to maintain Pinus strobus. Fire severity was high during 10,000-8000 ybp. Increasing precipitation allowed Tsuga canadensis, Fagus grandifolia, and Betula to replace Pinus strobus in inland areas during 9000-8000 ybp, and also led to the expansion of Carya across the coastal part of the region beginning at 7000-6000 ybp. Abrupt cooling at 5500-5000 ybp caused sharp declines in Tsuga in inland areas and Quercus at some coastal sites, and the populations of those taxa remained low until they recovered around 3000 ybp in response to rising precipitation. Throughout most of the Holocene, sites underlain by sandy glacial deposits were occupied by Pinus rigida and Quercus. Main conclusions PPostglacial changes in the composition and spatial pattern of New England forests were controlled by long-term
Lake Sediment Pollen and Charcoal from Deep Pond In Taunton MA from 13379 BP to Present
Aim We analyzed a dataset composed of multiple palaeoclimate and lake-sediment pollen and charcoal records from New England to explore how postglacial changes in forest composition and spatial patterns of vegetation and fire were controlled by regional-scale climate change, a subregional environmental gradient, and landscape-scale variations in soil characteristics. Location The 120,000-km2 study area includes parts of Vermont and New Hampshire in the north, where sites are 150-200 km from the Atlantic Ocean, and spans the coastline from southeastern New York to Cape Cod and the adjacent islands, including Block Island, the Elizabeth Islands, Nantucket, and Martha’s Vineyard. Results Boreal forest featuring Picea and Pinus banksiana was present across the region when conditions were cool and dry 14,000-12,000 calibrated 14C yrs before present (ybp). Pinus strobus became regionally dominant as temperatures increased between 12,000 and 10,000 ybp. The composition of forests in inland and coastal areas diverged in response to further warming after 10,000 ybp, when Quercus and Pinus rigida expanded across southern New England, while conditions remained cool enough in inland areas to maintain Pinus strobus. Fire severity was high during 10,000-8000 ybp. Increasing precipitation allowed Tsuga canadensis, Fagus grandifolia, and Betula to replace Pinus strobus in inland areas during 9000-8000 ybp, and also led to the expansion of Carya across the coastal part of the region beginning at 7000-6000 ybp. Abrupt cooling at 5500-5000 ybp caused sharp declines in Tsuga in inland areas and Quercus at some coastal sites, and the populations of those taxa remained low until they recovered around 3000 ybp in response to rising precipitation. Throughout most of the Holocene, sites underlain by sandy glacial deposits were occupied by Pinus rigida and Quercus. Main conclusions Postglacial changes in the composition and spatial pattern of New England forests were controlled by long-term t
Data for: Strong bottom currents in large, deep Lake Geneva generated by higher vertical-mode Poincaré waves
<p>Combining entire summer season current and temperature observations and 3D numerical modeling, we demonstrate that previously undetected vertical mode-two and vertical mode-three Poincaré waves in 309-meter deep Lake Geneva (Switzerland/France) generate strong bottom-boundary layer currents at 300-m depth. The data include measurements from moored Acoustic Doppler Current Profilers (ADCPs), vertical thermistor lines, and the corresponding 3D modeling results. The three-dimensional model used in this study is based on the MIT General Circulation Model (MITgcm, <a href="http://mitgcm.org/">http://mitgcm.org/</a>, <a href="https://doi.org/10.1029/96JC02775">https://doi.org/10.1029/96JC02775</a>). The main MITgcm model configuration files are available online at <a href="https://doi.org/10.5281/zenodo.13144189">https://doi.org/10.5281/zenodo.13144189</a>.</p> <p>The related scientific publication can be found at <a href="https://doi.org/10.1038/s43247-024-01653-8">https://doi.org/10.1038/s43247-024-01653-8</a></p>
Data accompanying the manuscript "Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake", published in Limnology and Oceanography (doi: 10.1002/lno.12687)
<p>CTD and geochemical data accompanying the publication: Biogeochemical cycling of trace elements and nutrients in ferruginous waters – constraints from a deep oligotrophic ancient lake in Limnology & Oceanography (doi: 10.1002/lno.12687).</p>
Figure 6 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 6. CCA triplots for zooplankton abundance and environmental variables (variables are represented by arrows. Species are depicted by points; the numbers indicate sampling stations). Abbreviations: K.coch: K. cochlearis; K.quad: K. quadrata; K.trop: K. tropica; K.long: K. longispina; P.vulg: P. vulgaris; P.doli: P. dolichoptera; S.oblo: S. oblonga; A.prio: A. priodonta; A.brig: A. brightwelli; L.pate: L. patella; L.rhom: L. rhomboides; L.quad: L. quadridentata; Habro.: Habrotrocha sp.; F.long: F. longiseta; D.cucu: D. cucullata; D.long: D. longispina; B.long: B. longirostris; C.spha: C. sphaericus; C.rect: C. rectangula; Cyc sp: Cyclops sp.; Naup: nauplius.
Figure 4 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 4. The Shannon–Weaver species diversity index (Hʹ) based on numbers of individuals during the study period.
Figure 1 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 1. Map of Karakaya Dam Lake on the Euphrates River in eastern Anatolia. Sampling stations surveyed in this study are indicated.
Figure 3 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 3. Vertical distribution of zooplankton in the lake. Total density (ind m–3) of main zooplankton groups was demonstrated at different depths by horizontal bars.
Figure 2 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 2. Vertical profiles (every 5 m of depth) of temperature (°C) and dissolved oxygen (mg L–1) in the study area. Illustrations were formed for the vertical zooplankton sampling period.
Figure 5 in Evaluation of vertical and horizontal changes in community structure of zooplankton in a deep dam lake
Figure 5. Tree diagram resulting from average linkage clustering using UPGMA method on the zooplankton community data reported during study period.
Fig. 3 in Dinophyta Characterise Nitrogen Scarcity More Strongly than Cyanobacteria in Moderately Deep Lakes
Fig. 3. PCA of lakes ordinated in relation to mean growth season composition of phytoplankton, expressed as proportion of biovolume. a – phytoplankton divisions; b – phytoplankton species, eigenvalues are the same as in Fig. 2. Symbols shaded to show N:P ratio or to denote where available N or P fell below laboratory detection limits in the growth seasons samples collected (key to symbols in Table 4).
Fig. 1 in Dinophyta Characterise Nitrogen Scarcity More Strongly than Cyanobacteria in Moderately Deep Lakes
Fig. 1. Redundancy Analysis (RDA) of the mean proportion of phytoplankton species composition expressed as proportion of biovolume, λ1 = 0.094, λ2 = 0.051. Key to species in Table 4, λ – eigenvalue.
Data for: Wintertime coastal upwelling in Lake Geneva: An efficient transport process for deep-water renewal in a large, deep lake
<p>Combining field measurements, 3D numerical modeling and Lagrangian particle tracking,<br> we investigated wind-driven, Ekman-type coastal upwelling during the weakly stratified winter period 2017/2018<br> in Lake Geneva, a large and deep lake in western Europe. The data include measurements from<br> moored Acoustic Doppler Current Profilers (ADCP) and vertical temperature profiles<br> along with the corresponding 3D modeling and particle tracking results.<br> The three-dimensional model used in this study is based on the MIT General<br> Circulation Model (MITgcm, http://mitgcm.org/, https://doi.org/10.1029/96JC02775).<br> The particle tracking code is based on ctracker (https://doi.org/10.5281/zenodo.1034118).</p>
Glacial Lake Image Dataset for "Efficient glacial lake mapping by leveraging deep transfer learning and a new annotated glacial lake dataset"
<p>Glacial lake dataset for the paper <strong>"Efficient glacial lake mapping by leveraging deep transfer learning and a new annotated glacial lake dataset" (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jhydrol.2025.133072" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.jhydrol.2025.133072</a>)</strong></p> <p>The GLID dataset contains a total of 18,367 samples, and the size of each sample is 512*512. Each sample consists of an image and a corresponding label. Four glacial lake types including supraglacial lake, proglacial lake, ice-marginal lake, and unconnected glacial lake are involved. The pixel value of the glacier lake in annotation map is labeled 255 and background is labeled 0.</p> <p>GLID.rar contains the training dataset (16,000 samples), and val.zip contains the validation dataset (2,367 samples).</p> <p>GLID_annotation.zip contains the annotated shapefile of GLID with a CRS of WGS 84.</p> <p>Optical_images_source.xlsx contains the optical images ID/names and acquisition time of each platform (e.g., WV2, LC08, S2B, and GF02) used in GLID.</p> <p>Transferability validation.zip contains the images, labels, and predictions for transferability validation, which is independent of GLID (not used for model training or validation). The file structure is shown below:</p> <p>Transferability validation.zip</p> <ul> <li>images <ul> <li>AS.tif</li> <li>GL.tif</li> <li>NA.tif</li> <li>SA.tif</li> </ul> </li> <li>labels <ul> <li>AS_gt.tif</li> <li>GL_gt.tif</li> <li>NA_gt.tif</li> <li>SA_gt.tif</li> </ul> </li> <li>predictions <ul> <li>AS_pred.tif</li> <li>GL_pred.tif</li> <li>NA_pred.tif</li> <li>SA_pred.tif</li> </ul> </li> </ul> <p>AS, GL, NA, and SA represent Asia, Greenland, North America, and South America, respectively. Four high-quality Landsat-8/9 images (each cloud cover less than 6%) were used for testing, and we manually annotated the glacial lakes in each image as labels. The pixel value of the glacier lake in annotation map is labeled 255 and background is labeled 0. Files in transferability validation.zip have a same CRS of WGS 84.</p> <p>If you find this dataset is helpful in your research, please consider <strong><em>cite </em></strong>this paper:</p> <blockquote> <p><em>Ma D, Li J, Jiang L. 2025. Efficient glacial lake mapping by leveraging deep transfer learning and a new annotated glacial lake dataset. Journal of Hydrology 657: 133072.</em></p> </blockquote>
An Economical Open-Source Lagrangian Drifter Design to Measure Deep Currents in Lakes
<p>An economical, open-source Lagrangian drifter designed to collect current data on lakes<200km2 was evaluated against existing designs. The new design was tested in deep inland lakes in the Finger Lakes region of New York, USA and is effective at tracking deep currents. The ease and low-cost of fabrication and launch/recovery should facilitate use of this design by less-advantaged communities & researchers.</p> <p>This project includes data and code for preparation of graphs and charts to illustrate Lagrangian drifter experiments in Seneca Lake and Keuka Lake, New York, USA.</p>
Data from: Decoding the drivers of deep-time wetland biodiversity: insights from an early Permian tropical lake ecosystem
<p><span>Wetlands are important to continental evolution, providing both the arenas and refugia for emerging and declining biotas, respectively. </span><span>Based on this significance and the high preservation potential, the resulting fossiliferous deposits play a key role in understanding past and future biodiversity. We reconstruct the trophic structure and age of the early Permian Manebach-Lake ecosystem, Germany, thriving in a wetland when the tropical biosphere faced profound upheaval in the peaking Late Palaeozoic Icehouse. Nine excavations, the high-resolution, spatiotemporal documentation of fossils and sediments, and the U-Pb radioisotopic dating of tuffs allow us to distinguish autogenic and allogenic factors that shaped the limnic biocoenosis. The Manebach Lake was an exorheic, stratified, perennial water body in the 10<sup>1</sup>–10<sup>2</sup> km<sup>2</sup> scale, integrated into the catchment draining much of the European Variscides. Lake formation paralleled an Asselian regional wet climatic interval and benefited from rising groundwater tables due to post-Variscan tectonics. Stromatolite-forming cyanobacteria, bivalves, several crustacean groups, amblypterids resembling <em>Paramblypterus duvernoyi</em> and xenacanthid sharks formed a differentiated biocoenosis. Digestive remains prove the rare presence of acanthodians, branchiosaurs, and large tetrapods. Anoxic events affected the mainly epilimnal community. The results indicate woody-debris-bearing lake littorals devoid of semi-aquatic and aquatic plants as places suitable for large stromatolites to grow, underpin the model of declining freshwater shark diversity in most Permian Variscan basins, demonstrate fish/amphibian ratios in limnic taphocoenoses to measure lake perenniality and reveal taphonomic biases in freshwater plant assemblages. Our outcomes highlight the need for more knowledge about the diversity, ecology, and fossilisation pathways of past limnic biotas, particularly microorganisms and actinopterygian fishes, to reconstruct deep-time continental ecosystems. </span></p>
Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach
<p>Daily gridded lake surface temperature (LST) data (1979-2020) for each Great Lake - Superior (GLS), Michigan (GLM), Huron (GLH), Erie (GLE) and Ontario (GLO) - derived from LSTM detailed in Kayastha et al. (2023) paper: "Reconstructing 42 Years (1979–2020) of Great Lakes Surface Temperature through a Deep Learning Approach".</p> <p>Each matfile contains longitude (lon), latitude (lat), as well as the LST for each grid point. The files also contain the variable 'art1' (Area of Node-Base Control volume) required to calculate lake-wide average LST. The depth at each location (dep) is also provided.</p>
Data from: Decoding the drivers of deep-time wetland biodiversity: insights from an early Permian tropical lake ecosystem
Open the record for dataset details and reuse information.
Data from: Turbulence characteristics of ice-free radiatively driven convection in a deep, unstratified lake
Open the record for dataset details and reuse information.
Figure 11 in An overview on the freshwater sponge fauna (Demospongiae: Spongillida) of New Zealand and New Caledonia with new insights into Heterorotula from deep thermal vents of the Lake Taupo
Figure 11. Diatoms associated to Heterorotula kakahuensis in the Horomatangi Geothermal System of Lake Taupo, New Zealand. (A) Cyclotella stelligera. (B) Aulacoseira cf. granulata. (C) Epithemia sorex. (D) Asterionella formosa. (E) Rhopalodia sp. (F) surirella sp.
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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.