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Fig. 8 in The Late Pleistocene mollusk fauna of Selitrennoye (Astrakhan province, Russia): A natural baseline for endemic Caspian Sea faunas
Fig. 8. Dreissenidae. (1–3) Dreissena caspia Eichwald, 1855: (1a) RGM.1310289 short type, LV; (1b) RGM.1310288 short type, RV; (2a) RGM.1310286 medium/curved type, LV; (2b) RGM.1310287 medium/curved type, RV; (3a) RGM.1310285 elongated type, LV; (3b) RGM.1310284 elongated type, RV. (4–5) Dreissena elata Andrusov, 1897: (4a) RGM.1310283 elongated type, LV; (4b) RGM.1310282 elongated type, RV; (5a) RGM.1310279 short type, LV; (5b) RGM.1310278 short type, RV). (6–7) Dreissena grimmi Andrusov, 1890: (6a) RGM.1310276 straight type, LV; (6b) RGM.1310275 straight type, RV; (7a) RGM.1310274 curved type, LV; (7b) RGM.1310273 curved type, RV. Scale bars = 1 mm.
Fig. 2 in The Late Pleistocene mollusk fauna of Selitrennoye (Astrakhan province, Russia): A natural baseline for endemic Caspian Sea faunas
Fig. 2. Location and section of the Selitrennoye outcrop next to Akhtuba river. Updated from Neubauer et al. (2018) to show new allocation of stratigraphic units.
Fig. 5 in The Late Pleistocene mollusk fauna of Selitrennoye (Astrakhan province, Russia): A natural baseline for endemic Caspian Sea faunas
Fig. 5. Overview of the Cardiidae. (1) Didacna subcrassa; (a) RGM-1309816 LV; (b) RGM-1309815 RV. (2) Didacna subpyramidata; (a) RGM-1309797 LV; (b) RGM-1309814 RV. (3) Didacna subcatillus; (a) RMG-1309819 LV; (b) RMG-1309820 RV. (4) Didacna emendata; (a) RGM-1309799 LV; (b) RGM-1309798 RV. (5) Didacna ebersini; A (a) RGM1309817 LV; (b) RGM-1309818 RV. (6) Didacna cristata; (a) RGM.1309800 LV; (b) RGM.1309801 RV. Scale bars = 1 cm.
Fig. 7 in The Late Pleistocene mollusk fauna of Selitrennoye (Astrakhan province, Russia): A natural baseline for endemic Caspian Sea faunas
Fig. 7. Plasticity (shape variability) of (1) Monodacna caspia RGM.1309807. (a) umbo in the middle, more square (b) umbo not in middle, more round (c) umbo in the middle, oval (d) umbo not in middle, more oval shape. (2) Dreissena elata. (a) RGM.1310278 short, curved (b) RGM.1310280 medium, curved (c) RGM.1310280 long, curved (d) RGM.1310280 medium, straight (e) RGM.1310282 long, straight. Scale bars = 1 mm.
Fig. 7 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 7. Late Holocene Novocaspian gastropod species from Turali, with indication of sample and collection number. A Clathrocaspia gmelinii: M0203, RGM.1309848 B Clessiniola variabilis: M0204, RGM.1309864 C Ecrobia grimmi: M0202, RGM.1309863 D Laevicaspia sieversii: M0204, RGM.1309849 E Laevicaspia kolesnikoviana: M0221, RGM.1309850 F Laevicaspia conus: M0204, RGM.1309851 G Turricaspia spica: M0202, RGM.1309858 H Turricaspia sp. indet. M0222, RGM.962401. I Abeskunus brusinianus: low morph, M0204, RGM.962355 J Abeskunus brusinianus: high morph, M0204, RGM.962355 K Theodoxus pallasi: M0204, RGM.130985, L. Theodoxus pallasi: M0220, RGM.1309862, M Abeskunus exiguus, M0204, RGM.962357. Scale bars 1 mm.
Fig. 6 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 6. Late Holocene Novocaspian bivalve species from Turali, with indication of sample and collection number. LV displayed on the left, RV on the right. A–B Adacna laeviuscula (Eichwald, 1829). A M0222, RGM.962359 B M0222, RGM.962358 C–D Adacna vitrea (Eichwald, 1829) C M0221, RGM.962360 D M0221, RGM.962361 E–F Hypanis plicata (Eichwald, 1829) E M0221, RGM.962362 F M0221, RGM.962363 G–H Monodacna albida (Logvinenko & Starobogatov, 1967) G M0202, RGM.962364 H M0202, RGM.962365 I–J Monodacna caspia (Eichwald, 1829) I M0204, RGM.962367 J M0205, RGM.962368 K–L Monodacna semipellucida (Logvinenko & Starobogatov, 1967) K M0222, RGM.962369 L M0222, RGM.962370 M–N Dreissena caspia (Eichwald, 1855) M M0222, RGM.962371 N M0202, RGM.962372 O–P Dreissena elata (Andrusov, 1897) O M0203, RGM.962375 P M0221, RGM.962376 Q–R Dreissena grimmi (Andrusov, 1890) Q M0203, RGM.962374 R M0202, RGM.962373. Scale bars 5 mm.
Fig. 2 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 2. Schematic representation of sections Turali 1-3. Asterisks (*) denote calibrated 14C ages BP. Small case letters refer to sedimentary units: a. eastwards-dipping bay fill, b. eastwards-dipping bay fill, c. sand with shells along eastward-dipping foresets, d. deformed laminated silts and sands, e. massive gravel beds, f. coarsegrained pebble lag, g. slightly dipping sand layers with shells, h. low-angle clinoforms with pebbles and shells, i. stratified silt stone, lagoonal, j. silt layer with shells, k. Aeolian interval, l. stratified silt stone, lagoonal.
Fig. 3 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 3. Paired Didacna eichwaldi (Turali-2, sample M0205) exposed just below the water table of the Great Turali Lake. Width of the shells approximately 2 cm. Photograph SBK, 2002.
Fig. 8 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 8. Reconstruction of Turali Bay, c. 2300 calyr BP. The palaeocoastline is approximatly based on the estimated lake level reconstructed for the time of deposition.
Fig. 5 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 5. Late Holocene Novocaspian bivalve species from Turali, with indication of sample and collection number. LV displayed on the left, RV on the right. A–B Cerastoderma sp. A [non C. rhomboides (Lamarck, 1819)] A M0215, RGM.961896 B M0215, RGM.962391 C–D Cerastoderma glaucum (Bruguière, 1789) C M0216, RGM.962390 D M0216, RGM.962389 E–F Didacna baeri (Grimm, 1877) E M0204, RGM.962379 F M0204, RGM.962380 G–H Didacna eichwaldi (Krynicki, 1837) G M02-05, RGM.961900 H M02-05, RGM.961900 I–J Didacna parallela (Bogachev, 1932) I M0202, RGM.962383 J M0202, RGM.962384 K–L Didacna protracta (Eichwald, 1841) K M0202, RGM.962386 L M0222, RGM.962385 M–N Didacna pyramidata (Grimm, 1877) M M0202, RGM.962387 N M0222, RGM.962388 O–P Didacna trigonoides (Pallas, 1771) O M0215, RGM.962378 P M0215, RGM.962377. Q–R Didacna barbotdemarnii (Grimm, 1877) Q M0222, RGM.962420 R M0221, RGM.962421. Scale bars 5 mm.
Fig. 9 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 9. Box core residue (sample M0267, c. 2 km off shore Turali at a water depth of 9.4 m) separated into the dark Novocaspian (left) and light 20th Century (right) fractions defined in the text. Largest shell c 1.5 cm across.
Fig. 4 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 4. Rarefaction curves of the Turali samples with 95% confidence interval and extrapolated species richness for double sample size.
Fig. 1 in Mollusc biodiversity in late Holocene nearshore environments of the Caspian Sea: A baseline for the current biodiversity crisis
Fig. 1. Geographic context of study site. (a) Map of the Caspian Sea. Source bathymetry: Kostianoy et al. (2005): Fig. 1 (p. 7). (b) Location of the outcrops treated in this paper. Tu1-Tu5 represent outcrops Turali 1-5. Brown ridges are Holocene Novocaspian beach barriers (see Kroonenberg et al., 2007). (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)
Dataset for 'Intercontinental comparison of optical atomic clocks through very long baseline interferometry'
<p>Dataset for the international comparison of optical atomic clocks using Very Long Baseline Interferometry (VLBI) and Global Positioning System (GPS) precise point positioning solution with integer ambiguity (IPPP) techniques appeared in <em>Nature Physics, <strong> 17</strong></em>, 223-227 (2021). The dataset is also available at <a href="https://doi.org/10.1038/s41567-020-01038-6">https://doi.org/10.1038/s41567-020-01038-6</a></p>
Baseline assemblies for "ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads" protocol
<p>ntLink is a flexible <em>de novo</em> genome scaffolding toolkit which can be run in various modes depending on the desired user output, with multiple new functionalities recently introduced. Here, we provide the baseline assembly datasets used in the ntLink protocol paper "ntLink: a toolkit for <em>de novo </em>genome assembly scaffolding and mapping using long reads". The provided assemblies are ABySS (short-read) and Flye (long-read) assemblies of <em>Caenorhabditis elegans </em>genome sequencing data. The ABySS (v2.1.4) assembly utilized paired-end short reads (accession DRR008444), and was run with the following parameters: k=64 l=40 s=1000 q=15 B=10G j=8 kc=3 H=4 S=1000-10000 N=9.The <em>C. elegans</em> Flye (v2.5) assembly was run using Oxford Nanopore long reads (accession SRR10028109) and the following parameters: --nano-raw SRR10028109.fastq -g100m -t48.</p>
WCRP baseline variable syntax
<p>The syntax used to describe the baseline variables presented in Juckes et al., 2023 (in preparation).</p> <ul> <li>Time sampling title: a brief description of the temporal sampling.</li> <li>Spatial sampling title: a brief description of the spatial sampling.</li> <li>Spatial sampling label: a label associated with the spatial dimensions of the variable.</li> <li>Additional Coordinates [optional]: listing of additional spatial and masking coordinates,</li> <li>Time sampling label: a label associated with the temporal dimensions and sampling of the variable.</li> <li>Comment [optional]: additional clarification.</li> </ul>
Apulian Aqueduct demo site: daily time series of simulated system behavior for baseline inflows conditions
<p>This dataset contains the daily time series obtained from the strategic model simulation, considering baseline inflows conditions (natural springs and main reservoirs of Apulian aqueduct - demo site 1). More precisely, the dataset contains:</p> <ul> <li>the daily level of the main reservoirs;</li> <li>the water supplied to all users (drinking water users, irrigation, and industrial districts) from each reservoir;</li> <li>the corresponding single irrigation and industrial deficit;</li> <li>the total drinking water deficit;</li> <li>the aggregated distribution cost.</li> </ul> <p>Two simulations are performed, with or without the environmental flow constraint acting on each reservoir release activated.</p> <ul> <li>Temporal coverage: 2010-2019</li> <li>Spatial coverage: <ul> <li>Springs: Sele, Calore;</li> <li>Reservoirs: Conza, Locone, Monte Cotugno, Occhito, Pertusillo;</li> <li>Users: drinking water users, irrigation, and industrial districts supplied by Apulian aqueduct.</li> </ul> </li> <li>Unit of measure: <em>m</em>, <em>m3/s</em> depending on the variable</li> </ul> <p>More information and details on the content of this dataset can be found in Project Ô <a href="https://zenodo.org/record/7576611">Deliverable D4.4</a>.</p>
Use of historical isoscapes to develop an estuarine nutrient baseline
<p class="MsoNormal"><span>Coastal eutrophication is a prevalent threat to the healthy functioning of ecosystems globally. While degraded water quality can be detected by monitoring oxygen, nutrient concentrations, and algal abundance, establishing regulatory guidelines is complicated by a lack of baseline data (e.g., pre-Anthropocene). We use historical carbon and nitrogen isoscapes from sediment cores to reconstruct spatial and temporal changes in nutrient dynamics for a central California estuary, where development and agriculture dramatically enhanced nutrient inputs over the past century. We found strong contrasts between current sediment stable isotopes and those from the recent past, demonstrating </span>shifts exceeding those in previously studied eutrophic estuaries and <span>substantial increases in nutrient inputs. Comparisons of contemporary with historical isoscapes also revealed that nitrogen sources shifted from a marine-terrestrial gradient to amplified denitrification at the head and mouth of the estuary. Geospatial analysis of historical data suggests that an increase in fertilizer application – rather than population growth or increases in the extent of cultivated land – is chiefly responsible for increasing nutrient loads during the 20<sup>th</sup> century. This study demonstrates the ability of isotopic and stoichiometric maps to provide important perspectives on long-term shifts and spatial patterns of nutrients that can be used to improve management of nutrient pollution.</span></p>
Community characteristics of forest understory birds along an elevational gradient in the Horn of Africa: A multi-year baseline of Afromontane birds
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Use of historical isoscapes to develop an estuarine nutrient baseline
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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.