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1,291 results for “gap”
Figure 5 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 5 Ochrotrichia machadoi sp. nov. A, genitalia, left lateral; B, tergum X, left lateral; C, mesoventral process of segment VII, left lateral; D, genitalia, left lateral (photograph); E, phallus, left lateral; F, genitalia, dorsal; G, apex of phallus, ventral; H, genitalia, ventral; I, genitalia, ventral (photograph). Scale bars = 0.1 mm (A, B, D, E, F, G, H, I); 0.05 mm (C).
Figure 2 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 2 Ochrotrichia froehlichi sp. nov., holotype, ♂ (INPA). A, lateral habitus; B, head and thorax, dorsal view; C, head, dorsal view; D, forewing, right dorsal view; E, hind wing, right dorsal view. Cephalic setal warts abbreviations: Lateral ocellus = l. oc.; median ocellus = m. oc.; occipital setal wart = occ. wt.; vertexal ocellar setal wart = v. oc. wt. Scale bars: 0.5 mm (A); 0.2 mm (B, C, D, E).
Figure 7 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 7 Ochrotrichia nessimiani sp. nov. A, genitalia, left lateral; B, tergum X, left lateral; C, mesoventral process of segment VII, left lateral; D, genitalia, left lateral (photograph); E, phallus, left lateral; F, genitalia, dorsal; G, apex of phallus, ventral; H, genitalia, ventral; I, genitalia, ventral (photograph). Scale bars = 0.1 mm.
Figure 1 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 1 Geographical distribution map of the new species of Ochrotrichia with their respective states and hydrographic basins in Brazil.
Figure 4 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 4 Ochrotrichia machadoi sp. nov., holotype, ♂ (INPA). A, lateral habitus; B, head and thorax, dorsal view; C, head, dorsal view; D, forewing, right dorsal view; E, hind wing, right dorsal view. Scale bars: 0.5 mm (A); 0.2 mm (B, C, D, E).
Figure 3 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 3 Ochrotrichia froehlichi sp. nov. A, genitalia, left lateral; B, tergum X, left lateral; C, mesoventral process of segment VII, left lateral; D, genitalia, left lateral (photograph); E, phallus, left lateral; F, genitalia, dorsal; G, apex of phallus, ventral; H, genitalia, ventral; I, genitalia, ventral (photograph). Scale bars = 0.2 mm.
Figure 6 in Filling distribution gaps and honoring great taxonomist mentors: three new species of the microcaddisfly Ochrotrichia Mosely, 1934 (Trichoptera: Hydroptilidae) from the Brazilian Cerrado and a checklist from Brazil
Figure 6 Ochrotrichia nessimiani sp. nov., holotype, ♂ (DZRJ).A, dorsal habitus; B, head and thorax, dorsal view; C, head, dorsal view; D, forewing, right dorsal view; E, hind wing, right dorsal view. Scale bars: 0.5 mm (A, D, E); 0.2 mm (B); 0.1 mm (C).
Nearly six decades of grazing research published by the Grassland Society of Southern Africa: Trends, recommendations, and gaps
<p>The dataset contains data about articles pulled from a search in Scopus and Google Scholar from the African Journal of Range and Forage Science between 1966 and 2023 using the search terms "grazing" AND"management"; "communal" AND "grazing". The associated R code contains code for natural language processing. </p> <p>The dataset is supplementary to the published journal article: <span>10.2989/10220119.2024.2397952</span></p>
Dataset for Benchmarking the Sim-to-Real Gap in Cloth Manipulation
<p>This dataset is supplemental to the paper "Benchmarking the Sim-to-Real Gap in Cloth Manipulation".</p> <p>D. Blanco-Mulero, O. Barbany, G. Alcan, A. Colomé, C. Torras and V. Kyrki, "Benchmarking the Sim-to-Real Gap in Cloth Manipulation," in IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2981-2988, March 2024, doi: 10.1109/LRA.2024.3360814</p>
Linked collectors and determiners for: Herbarium specimens of CBNA (GAP).
Natural history specimen data linked to collectors and determiners held within, "Herbarium specimens of CBNA (GAP)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e08f0546-0224-4b0d-886d-4ab05f0c87e6">https://bionomia.net/dataset/e08f0546-0224-4b0d-886d-4ab05f0c87e6</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e08f0546-0224-4b0d-886d-4ab05f0c87e6">https://gbif.org/dataset/e08f0546-0224-4b0d-886d-4ab05f0c87e6</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Bridging the distributional gap of Tylorida striata (Thorell, 1877) and new synonymy (Araneae: Tetragnathidae).
Natural history specimen data linked to collectors and determiners held within, "Bridging the distributional gap of Tylorida striata (Thorell, 1877) and new synonymy (Araneae: Tetragnathidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/292a24a0-c75f-4bb9-beba-d106282a2d92">https://bionomia.net/dataset/292a24a0-c75f-4bb9-beba-d106282a2d92</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/292a24a0-c75f-4bb9-beba-d106282a2d92">https://gbif.org/dataset/292a24a0-c75f-4bb9-beba-d106282a2d92</a>. Formatted as a Frictionless Data package.
Dataset for the article 'Estimating countries' additional carbon accountability for closing the mitigation gap based on past and future emissions'.
<p>Dataset for the article 'Estimating countries’ additional carbon accountability for closing the mitigation gap based on past and future emissions', published in Nature Communications. DOI: <a href="https://doi.org/10.1038/s41467-024-54039-x">10.1038/s41467-024-54039-x</a></p> <p>TablesInManuscriptandCalculations.xlsx includes a calculations sheet where the main results can be estimated using only Excel, and each respective table found in the article.</p> <p>PlannedEmissions.xlsx includes estimated pathways for all analyzed countries during 2023-2070. Results are given in million tonnes of carbon dioxide (MtCO₂).</p> <p>DataForSensitivityAnalysis.xlsx is a full database with all the results used in the article, both the main approach and sensitivity cases.</p> <p>These files are generated using R-code available at:</p> <p><a href="https://github.com/morfeldt/AdditionalCarbonAccountability">https://github.com/morfeldt/AdditionalCarbonAccountability</a></p> <p> </p>
Data products for "3D modeling of long-term slow slip events along the flat-slab segment in the Guerrero Seismic Gap, Mexico"
<p>Data products for '3D modeling of long-term slow slip events along the flat-slab segment in the Guerrero Seismic Gap, Mexico' by A. Perez-Silva, D. Li, A.-A. Gabriel and Y. Kaneko</p>
Disk population synthesis data for the article: "Large gaps and high accretion rates in photoevaporative transition disks with a dead zone"
<p>We make available here the results of our gas evolution simulations for the article "Large gaps and high accretion rates in photoevaporative transition disks with a dead zone".</p> <p>We include the result of our population synthesis study, consisting in 10 tables corresponding to 9 models including both dead zone and photoevaporation, and 1 control model including photoevaporation only. The results can be plotted using the "Plotting-PopulationSynthesisModels.ipynb" jupyter notebook.</p> <p>The tables including a dead zone are named as: Macc_Rhole_Pop_AD(X)_RD(Y).txt, where (X)*1.e-4 corresponds to the turbulence in the dead zone, and (Y)*AU corresponds to the dead zone radial extent.</p> <p>The tables include the following fields: Simulation ID, Time [Myr] at which the snapshot was taken, Gap size [AU] measured at the outer edge, Accretion rate log[Msun/yr], and Gas disk mass. We also include a table called "LxRc_Distribution.txt", that indicates the X-ray luminosity log[erg/s] and initial disk characteristic radius [AU] used for the corresponding Simulation ID.</p> <p> </p> <p>We also include the gas surface density evolution of a Control simulation, with photoevaporation only (with Lx = 1.e30 erg/s), and a Dead Zone + Photoevaporation simulation (with dead zone turbulence 1.e-4, and dead zone radial extend 10 AU). These can be plotted using the "Plotting-SingleGasEvolution.ipynb" jupyter notebook.</p>
Data for "Excitation Spectrum and Superfluid Gap of an Ultracold Fermi Gas"
<p>This upload includes data shown in the main text and the supplementary material of the paper "Excitation Spectrum and Superfluid Gap of an Ultracold Fermi Gas", <a href="https://arxiv.org/abs/2105.09820">arXiv:2105.09820</a></p>
Cavity-waveguide coupling gap
<p>Extrinsic coupling loss of a microring coupled to a waveguide as a function of the gap between the structures. Data simulated with Comsol.</p>
Ring-ring coupling gap
<p>Coupling coefficients of two coupled microrings as a function of the gap between the structures. Data simulated with Comsol.</p>
Data for linked disturbance in the temperate forest: earthworms, deer, and canopy gaps
<p>Despite the large body of theory concerning multiple disturbances, there have been relatively few attempts to test the theoretical assumptions of how and if disturbances interact. Of particular importance is whether disturbance events are linked, as this can influence the probability and intensity of ecological change. Disturbances are linked when one disturbance event increases or decreases the likelihood or extent of another. To this end, we used two long-term, multi-disturbance experiments in northern Wisconsin to determine whether earthworm invasion is linked to canopy gap creation and white-tailed deer browsing. These three disturbances are common and influential within North American temperate forests, making any interactions among them particularly important to understand. We expected both deer and canopy gaps to favor invasive earthworms, particularly species that live close to or on the soil surface. However, we found only partial support for our hypotheses, as both deer exclosures and canopy gaps decreased earthworms in each experiment. Further, earthworm density increased the most over time in areas far from the gap center and in areas with deer present. Deer exclosures primarily decreased <em>Aporrectodea</em> and <em>Lumbricus</em> species, while gaps decreased <em>Dendrobaena</em> and <em>Lumbricus</em> species. Our findings show that earthworm invasion is linked to deer presence and gap-creating disturbances, which provides new insight toward multiple disturbance theory, aboveground-belowground dynamics, and temperate forest management.</p>
Gaps and weaknesses in the global protected area network for safeguarding at-risk species
<p>Dataset and example code for the 4946 species of terrestrial mammals, amphibians and birds analysed in Zeng et al.</p>
Gap-filled Multivariate Observations of Global Land-climate Interactions
<p>The NETCDF encompasses monthly time series spans the years 1995-2020 globally at 0.5-degree resolution with gap-free estimates of nine variables, gap-filled using the CLIMFILL (CLIMate data gapFILL) framework [1,2]</p> <p>The nine variables are:</p> <p>- surface layer soil moisture from the Climate Change Initiative (CCI) of the European Space Agency (ESA),</p> <p>- land surface temperature and</p> <p>- diurnal temperature range from the Moderate Resolution Imaging Spectroradiometer (MODIS),</p> <p>- precipitation from the Global Precipitation Measurement (GPM),</p> <p>- terrestrial water storage from the Gravity Recovery and Climate Experiment (GRACE),</p> <p>- ESA-CCI burned area,</p> <p>- ESA-CCI snow cover fraction, </p> <p>- two-meter temperature and precipitation from the Climate Research Unit (CRU).</p> <p> </p> <p>Note: this dataset is only validated and tested for the use cases in the accompanying study (DOI to come). Please have caution using the data for analysis that might include trends in high latitude, in regions where the variable has high fraction of missing values, or in mountainous regions.</p> <p> </p> <p>References:</p> <p>[1] Bessenbacher, V., Seneviratne, S.I. and Gudmundsson, L. (2022): CLIMFILL v0.9: a framework for intelligently gap filling Earth observations. Geosci. Model Dev., 15, 4569–4596, 2022 <a href="https://doi.org/10.5194/gmd-15-4569-2022">https://doi.org/10.5194/gmd-15-4569-2022</a></p> <p>[2] <a href="https://github.com/climachine/climfill/releases/tag/1.0">https://github.com/climachine/climfill/releases/tag/1.0</a></p>
ScienceDex guides
Understand access before you commit
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.