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2,532 results for “at present”
SAFRAN Present Forcing (Historical: 2004/2014) and Future projections (RCP4.5 and RCP8.5: 2041/2060).
<p>SAFRAN forcing refers to a set of meteorological data used to model the climate, covering both historical periods (2004-2014) and future projections under two greenhouse gas concentration scenarios (RCP4.5 and RCP8.5) for the period 2041-2060. Each dataset includes key parameters for climate analysis: cloud cover (NB), humidity (QA), direct radiation (RD), infrared radiation (RI), precipitation (RR), visible radiation (RV), snow cover (SS), temperature (TA), and wind strength (UA). These parameters are measured on a grid with variable resolution, ranging from 8 km in plains to 1 km in mountains and irrigated agricultural lands. This data is essential for understanding current and future atmospheric dynamics in the context of climate change.</p>
Supporting Dataset for the study "Influence of Floodplains and Groundwater Dynamics on the Present-Day Climate simulated by the CNRM Model"
<p>This archive contains the data used in the study "Influence of Floodplains and Groundwater Dynamics on the Present-Day Climate simulated by the CNRM Model" submitted to <a href="https://www.earth-system-dynamics.net/">Earth System Dynamics</a>.</p> <p> </p>
Initial tractions data set for simulations presented in Figure 6
<p>Initial tractions data set for simulations presented in Figure 6 in the paper with the title "<span>3D Dynamic Rupture Simulations for the Expected Main Marmara Fault Earthquake in the Sea of Marmara Based on the Inter-seismic Strain Accumulation</span>"</p>
Data from: Loci controlling nitrate reductase activity in maize: ultraviolet-B signaling in aerial tissues increases nitrate reductase activity in leaf and root when responsive alleles are present
Environmental factors, such as ultraviolet-B (UV-B) irradiation, have the ability to affect pathways such as nitrogen metabolism. As fixed nitrogen is the keystone mineral nutrient that controls grain crop yield, any alteration in this cycle can be detrimental to plant productivity. Nitrate reductase enzyme activity is responsible for the reduction of nitrate to nitrite, and nitrate is the major form of nitrogen assimilated in plants. In maize (Zea mays L.) production, nitrate assimilation kinetics are important for both high- and low-input agricultural systems. Nitrate reductase protein activity is controlled by phosphatases and kinases. Nitrate reductase activity is responsive to environmental signals such as light–dark cycles and UV-B radiation, although the regulatory controls are not yet fully understood. We have determined the location of maize genetic factors that control nitrate reductase activity and the extent of contribution of each of these factors, both locally in the leaf tissue and via long-distance signaling loci that affect root nitrate reductase activity upon leaf UV irradiation. In the IBM94 recombinant inbred mapping population, the loci controlling regulation of nitrate reductase activity under UV-B map to different positions than the loci controlling nitrate reductase activity in unexposed plants.
Data from: Genetic differentiation of western capercaillie in the Carpathian Mountains reveal the importance of post glacial expansions and habitat connectivity in understanding the present day European distribution
Population structure and barriers to gene flow are important components for understanding the evolutionary history of a species. Here we study population structure and differentiation in the western capercaillie (Aves: Phasianidae) along the Carpathian Mountains. Further, we compared the levels of population differentiation among capercaillie from the Carpathian Mountains, Balkans (Bulgaria) and the boreal forest (Russia and Sweden) in order to reveal past and current processes which may influence population structure. Tissue samples, non-invasive faeces and feathers and toe pads from museum specimens were used for genetic analyses of mitochondrial (mtDNA) sequences and allelic variation at nine nuclear DNA (nDNA) microsatellite loci. Analyses of mtDNA sequences revealed a southern subclade within the northern clade. Within the northern clade, microsatellite data distinguished two groups: (1) Western Carpathian populations; and (2) Eastern Carpathian and boreal forest populations. Bulgarian populations constituted a third cluster corresponding to the southern phylogenetic subclade. The Western Carpathian populations showed a heterozygote deficiency. The analyses indicate that the abundant Eastern Carpathian populations share alleles with populations from the boreal forest suggesting a common origin of these populations since the last glacial period. On the other hand, the Western Carpathian populations have been isolated over a long period with only a few migrants from the east, thereby becoming differentiated from the eastern and northern populations. The southern populations have been isolated from the northern populations since the last glacial maximum. The molecular analyses did not support the currently recognised taxonomy at the subspecies level.
FIGURES 1–3. 1 in Description of Parentocirrus brasiliensis sp. n. (Ciliophora: Spirotrichea), a new ciliate protist present in activated sludge
FIGURES 1–3. 1. Drawing of living specimen, showing ventral side. CV = contractile vacuole. 2. Drawing of silver impregnated specimen, showing ventral side. Macronuclear row dettached and displayed in the left. Ma = macronuclear nodules; Mi = micronuclei. 3. Drawing of silver impregnated specimen, showing dorsal side. Kineties are indicated by arabic algarisms. Arrows point to scattered kinetids. CC = caudal cirri.
FIGURES 8–10. Silver impregnated specimens. 8 in Description of Parentocirrus brasiliensis sp. n. (Ciliophora: Spirotrichea), a new ciliate protist present in activated sludge
FIGURES 8–10. Silver impregnated specimens. 8 – specimen with anomalous macronuclear apparatus. Arrowheads pointing to anteriormost and posteriormost macronuclear nodules, which are constricted in the equatorial region; 9 – specimen showing ventral ciliature variation. Arrowhead pointing to cirrus located between right ventral row and right marginal row; 10 – Dorsal side showing dorsal ciliature variation. Arrowhead pointing to posterior scattered kinetids. Legend: Ma = Macronuclear module; Mi = micronucleus. Scale bars: 10µm.
Fine-scale variation in projected climate change presents opportunities for biodiversity conservation in Europe
<p>We use a multi-model ensemble of regional climate models to identify areas with significantly high and low climate stability persistent throughout the 21<sup>st</sup> century in Europe.</p> <p>Here we present a set of raster files that contain discrete zones of climatic stability and instability, also referred to as hotspots and coldspots. Our analysis of future climatic stability was based on projected changes of nine climate variables selected to proxy key aspects of terrestrial ecosystem dynamics. The underlying climate projection, including different indices, are available at <a href="https://zenodo.org/record/3952159#.YNWN_OgzaUl">https://zenodo.org/record/3952159#.YNWN_OgzaUl</a>. The cumulative change of all nine climate variables, termed Aggregate Climate Change (ACC), is used to identify regions of significantly higher or lower climatic stability (Getis-Ord Gi* p-value < 0.05) across Europe. We carry out this assessment at the continental and regional scales. While the continental assessment reports the large-scale latitudinal and orographic patterns of climatic stability, the regional assessment explores the residual ACC variation that remained after extracting the large-scale continental trend. The raster files present climatic features that were identified to persist in their location throughout the 21<sup>st</sup> century (i.e., in periods 2021-2040, 2041-2060, and 2061-2100) and were supported by a majority of climate projections considered in this study. Specifically, we considered five GCM-RCM pairs driven by two RCP scenarios, RCP4.5 and RCP8.5. The targeted areas of climatic stability were required to be confirmed by four out of five climate models nested within each RCP, at least.</p> <p>The used naming convention is as follows:</p> <ul> <li>Scale – Global, Regional</li> <li>Type of the zone – HotSpot (zone of significantly low climatic stability), ColdSpot (zone of significantly high climatic stability)</li> <li>Driving RCP scenario – RCP45, RCP85</li> </ul> <p>Raster files with RCP indicated in their name refer to either RCP4.5 or RCP8.5. These files contain two values referring to the presence (1) or absence (0) of climatic stability areas:</p> <p>Global_HotSpots _RCP45</p> <p>Global_ColdSpots _RCP45</p> <p>Regional_HotSpots _RCP45</p> <p>Regional_ColdSpots _RCP45</p> <p>Global_HotSpots _RCP85</p> <p>Global_ColdSpots _RCP85</p> <p>Regional_HotSpots _RCP85</p> <p>Regional_ColdSpots _RCP85</p> <p>Raster files without RCP code in their name contain combinations of both RCPs. The cell values indicate absence (0), presence in RCP4.5 OR RCP8.5 (1), or presence in RCP4.5 AND RCP8.5 (2) of climatic stability areas:</p> <p>Global_HotSpots</p> <p>Global_ColdSpots</p> <p>Regional_HotSpots</p> <p>Regional_ColdSpots</p> <p>The format of raster files is tiff. All data are in the GCS_WGS_1984 geographic coordinate system.</p>
Sample Stimuli Presentation for a Remote Speech Segmentation Study
<p>A video used in a remote eye-tracking study to assess speech segmentation abilities in children with Down Syndrome.</p>
FIGURES 1–2 in The smaller arachnid orders: diversity, descriptions and distributions from Linnaeus to the present (1758 to 2007)*
FIGURES 1–2. Numbers of valid Recent species of the smaller arachnid orders, 1758-2007: 1, Pseudoscorpiones and Solifugae; 2, Schizomida, Amblypgi, Uropygi, Palpigradi, Ricinulei and Opilioacariformes.
FIGURE 4 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 4. New records of medusozoan species per decade, and accumulative curve. Since the year 2000, the accumulative curve has begun to plateau. (New but unpublished records of Dipurena ophiogaster, Ectopleura wrighti, Hydractinia exigua, Rhizogeton sp., Zanclea sp. and Zanclea cf. giancarloi, have been included).
FIGURE 3 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 3. Numbers of taxonomic papers published by authors from Spain, and from other countries (mainly France), per decade. Papers written by authors from multiple countries including Spain are scored twice.
FIGURE 2 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 2. Numbers of taxonomic papers on Bay of Biscay Medusozoa published per decade, and accumulative curve. The latter has in recent years been reaching a plateau. (PhD and MSc theses dealing with taxonomy have been included).
FIGURE 1 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 1. Area of study, showing different administrative territories. Bretagne (Brittany): A, Finistère; B, Morbihan. Pays de la Loire: C, Loire-Atlantique; D, Vendée. Poitou-Charentes: E, Charente-Maritime. Aquitaine: F, Gironde; G, Landes; H, Pyrénées-Atlantiques. Euskadi: I, Guipúzcoa; J, Vizcaya. Cantabria: K. Asturias: L. Galicia: M, Lugo; N, La Coruña; O, Pontevedra. (Portugal border is not shown).
FIGURE 5 in Literature analysis and present state of knowledge of benthic Medusozoa (Cnidaria) from the Bay of Biscay and nearby areas (northeastern Atlantic), with emphasis on biodiversity
FIGURE 5. Numbers of papers from Bay of Biscay literature in which every species has been mentioned, numbers of times that every species has been recorded. Each sampling station, even in the same paper, has been considered a different record.
Figure 3 in Hitchhiking with the Vikings? The anthropogenic bumblebee fauna of Iceland - past and present
Figure 3. New queens of Bombus hortorum foraging for nectar and pollen on Aconitum sp., Botanic Gardens, Reykjavik, 30 July 2015. Note mites near the wing bases (centre), and the long tongue (right). (Photos: Oliver Prŷs-Jones.)
Figure 2 in Hitchhiking with the Vikings? The anthropogenic bumblebee fauna of Iceland - past and present
Figure 2. Bombus jonellus nests. The white arrow indicates the unopened nest ball of Nest 1 (made up of dead plant material surrounding the nesting cavity). Further details for each of these nests are given in Table 1. (Photos: Oliver Prŷs-Jones.)
Figure 1 in Biting midges (Ceratopogonidae: Diptera) present in aquatic macrophytes from wetlands of Marchantaria Island, Iranduba, Central Amazonia, Brazil
Figure 1. (A) overview of Marchantaria Island, macrophyte species studied; (B) Eichhornia crassipes; (C) Pistia stratiotes and (D) Salvinia auriculata. Photographs by S.R.S. Torreias and U.G. Neiss.
Figure 2 in Biting midges (Ceratopogonidae: Diptera) present in aquatic macrophytes from wetlands of Marchantaria Island, Iranduba, Central Amazonia, Brazil
Figure 2. Map of sampling on Lago Grande and Lago Camaleão in wetlands at Ilha da Marchantaria, Iranduba, Amazonas. Note: modified from Kunth (1995).
FIGURE 2 in Present distribution of the genus Gnathostoma (Nematoda: Gnathostomatidae) in Mexico
FIGURE 2. Map of the Mexican Republic showing the distributional records of Gnathostoma lamothei () and Gnathostoma sp. (˖); Roman numbers indicate the Mexican states on map; Arabic numerals between parentheses show the position of each locality on map: I) Campeche: Ciudad del Carmen (1); Laguna de Atasta (2). II) Chiapas: La Esperanza (3); Laguna de Catazajá (4); La Angostura (5); Presa Nezahualcoyotl (6). III) Guerrero: Laguna Coyuca (7); Laguna de Tres Palos (8). IV) Michoacán: Lago de Pátzcuaro (9). V) Morelos: Cuernavaca (10); Tepoztlán (11). VI) Nayarit: Estero Custodio (12); Laguna de Agua Brava (Estero Rosamorada) (13); Laguna de Agua Brava (San Blas) (14); Laguna La Pesca (Estero Rosamorada) (15). VII) Oaxaca: Jalapa de Márques (16); Laguna Corralero (17); Laguna de Chila (18); Laguna Superior (19); Paso Canoa (20); Presa Benito Juárez (21); Presa Cerro de Oro (22); Presa de Temascal (23); Río Santo Domingo (24); Río Sarabia (25); Río Usila (26); Río Tonto (27); San José Independencia (Temascal) (28). VIII) Quintana Roo: Cenote Azul (Bacalar) (29); Cenote Cabañas (30). IX) Sinaloa: Escuinapa (31); Laguna Alhuate (32); Presa El Varejonal (33). X) Tabasco: Isla Chinal (Laguna Pozo de la Montaña) (34); La Revancha (35); Laguna Tamulté (36); Pantanos de Centla (37); Balancán (38); Tenosique (39); Tres Brazos (40); Villahermosa (41); Río Grijalva (42); Río Usumacinta (43). XI) Veracruz: Cosamaloapan (44); Cuenca del Papaloapan (Temascal-Tlacotalpan) (45); El Jobo (46); El Pichal (47); El Potrero (Tlacotalpan) (48); La Virgen (49); Lago de Catemaco (50); Laguna de Alvarado (51); Laguna Herrera (Tlacotalpan) (52); Laguna La Concha (53); Los Pescados (54); Tlacotalpan (55). XII) Yucatán: Mitza (56).
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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.