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3,136 results for “Terrestrial”
Supplementary Data: Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments (arXiv:2009.03287)
<p><strong>Supplementary Data</strong></p> <p><em>Strengthening the bound on the mass of the lightest neutrino with terrestrial and cosmological experiments (arXiv:2009.03287)</em></p> <p>The files in this record contain data from the scans of the models considered in the <a href="http://gambit.hepforge.org">GAMBIT</a> paper on neutrino masses.</p> <p>The files consist of</p> <ul> <li>21 <code>.yaml</code> files corresponding to different models, sampling parameters and/or priors</li> <li>11 final <code>.hdf5</code> files, containing the results of running GAMBIT with each yaml file</li> <li>10 <code>.margestats</code> files containing 1D credible regions for parameters and observables, obtained by running <a href="https://github.com/cmbant/getdist">getdist</a> on the hdf5 files</li> <li>An example file 3-NHB_Neff2_PC500_pp.pip file for plotting the results of a single hdf5 file with <a href="github.com/patscott/pippi">pippi</a></li> <li>A tarball including all files in this record except the hdf5 files.</li> </ul> <p>The different yaml, hdf5 and margestats files corresponding to different models, priors or setttings follow the naming scheme <code>[scan index]-[hierarchy][m_nu0 prior]_[Neff prior]_[scanner]_[extra]_[step].[extension]</code>, where</p> <ul> <li>scan index = <code>1</code>-<code>11</code></li> <li>hierarchy = <code>NH</code> (normal hierarchy), <code>IH</code> (inverted hierarchy)</li> <li>m_nu0 pior = <code>A</code> (linear-log prior on m_nu0), <code>B</code> (linear prior on m_nu0)</li> <li>Neff prior = <code>0</code> (Delta N_eff = 0), <code>1</code> (Delta N_eff > 0), <code>2</code> (Delta N_eff free)</li> <li>scanner = <code>PC500</code> (Polychord with 500 live points), <code>DIV10k</code> (Diver with NP=1e4)</li> <li>extra = blank (standard likelihood combination), <code>Lyalpha</code> (likelihood also includes eBOSS DR14 Lyman-alpha BAO scale measurements)</li> <li>step = blank (main scan), <code>pp</code> (postprocessing of outputs of main scan).</li> <li>extension = <code>yaml</code>, <code>margestats</code>, <code>hdf5/hdf5.tar.gz</code></li> </ul> <p>A few caveats to keep in mind:</p> <ol> <li> <p>The YAML files are designed to work with the tagged release of GAMBIT 1.5.0, and the pip file is tested with pippi 2.1. They may or may not work with later versions of either software (but you can of course always obtain the version that they do work with via the git history).</p> </li> <li> <p>The pip file is an example only. Users wishing to reproduce the more advanced plots in any of the GAMBIT papers should contact us for tips or scripts, or experiment for themselves. Many of these scripts are in multiple parts and require undocumented manual interventions and steps in order to implement various plot-specific customisations, so please do not expect the same level of polish as for files provided here or in the GAMBIT repo.</p> </li> </ol>
Viskari et al. (2019) The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling
<p>Zenodo DOI release for permanent archiving outside of GitHub</p>
Terrestrial lichen data for Northwest Territories, Canada
<p>Increased fire activity due to climate change may impact the successional dynamics of boreal forests, with important consequences for caribou habitat. Early successional forests have been shown to support lower quantities of caribou forage lichens, but geographic variation in, and controls on, the rates of lichen recovery have been largely unexplored. In this study, we sampled across a broad region in northwestern Canada to compare lichen biomass accumulation in ecoprovinces, including the Saskatchewan Boreal Shield, the Northwest Territories Taiga Shield and Northwest Territories Taiga Plains, divided into North and South. We focused on the most valuable <i>Cladonia</i> species for boreal and barren ground caribou: <i>Cladonia mitis</i> and <i>C. arbuscula</i>, <i>C. rangiferina</i> and <i>C. stygia</i>, <i>C. stellaris</i> and <i>C. uncialis</i>. We developed new allometric equations to estimate lichen biomass from field measurements of lichen cover and height; allometries were consistent among ecoprovinces, suggesting generalizability. We then used estimates of lichen biomass to quantify patterns of lichen recovery in different stand types, ecoprovinces, and with time following stand-replacing fire. We used a hurdle model to account both for the heterogeneous nature of lichen presence (zero-inflation), and the range of abundance in stands where lichen was present. The first component of the hurdle model, a generalized linear model (GLM), identified stand age, stand type and ecoprovince as significant predictors of lichen presence. With a logistic growth model, a measure of lichen recovery (time to 50% asymptotic value) varied from 28 to 73 years, dependent on stand type and ecoprovince. The combined predictions of the hurdle model suggest the most rapid recovery of lichen biomass across our study region occurred in jack pine in the Boreal Shield (30 years), while stands located in the Taiga Plains (North and South) required a longer recovery period (approximately 75 years). These results provide a basis for estimating future caribou habitat that encompasses some of the large variation in fire effects on lichen abundance and vegetation types across the range of boreal and barren ground caribou in North America.</p>
Supporting raw data for: The key role of the largest extant neotropical frugivore (Tapirus terrestris) in promoting admixture of plant genotypes across the landscape
<p>These files contain the supporting raw data of the journal article <strong>The key role of the largest extant neotropical frugivore (<em>Tapirus terrestris</em>) in promoting admixture of plant genotypes across the landscape</strong>. They include the geographical coordinates and genotypes (microsatellites) of 259 palm (<em>Syagrus romanzoffiana</em>) individuals analyzed in the mentioned study, as well as an example of one input file for conducting data analysis with the software COLONY 2.0. A text file (´Readme') describing this archived supporting data in further detail is also provided.</p>
FIGURE 2 in A new species of semi-terrestrial freshwater crab (Crustacea: Decapoda: Brachyura: Potamidae) from the Central Highlands of Vietnam
FIGURE 2. Rathbunamon chumomrayense sp. nov., holotype, male (CW 23.0 mm), IEBR-FC KCx 01. A, carapace, dorsal view; B, frontal view; C, ventral view; D, sternoabdominal cavity showing G 1 s and G 2 s.
FIGURE 3. Terrapotamon longitarsus n in A new species of long-legged terrestrial Terrapotamon Ng, 1986 (Crustacea: Brachyura: Potamidae) from limestone formations in Satun, southern Thailand
FIGURE 3. Terrapotamon longitarsus n. sp. Overall habitus. A, male (35.0 × 29.5 mm) (ZRC 2016.0162 a); B, paratype male (28.4 × 23.8 mm) (PSUZC 20150611 - 01.01); C, female (23.8 × 20.2 mm) (ZRC 2016.0162 b).
FIGURE 2. Terrapotamon longitarsus n in A new species of long-legged terrestrial Terrapotamon Ng, 1986 (Crustacea: Brachyura: Potamidae) from limestone formations in Satun, southern Thailand
FIGURE 2. Terrapotamon longitarsus n. sp. Holotype male (47.4 × 38.6 mm) (ZRC 2016.0161). A, right third maxilliped; B, ventral view of cephalothorax showing posterior thoracic sternum and pleon (right margin of somite 3 damaged); C, right ambulatory legs; D, dorsal view of right cheliped; E, outer view of right chela.
Three-dimensional GNSS Time Series Data for Terrestrial Water Storage Changes Inversion in Yunnan, China
<p>The dataset includes three-dimensional GNSS time series data featured in the publication "Using the global navigation satellite system and precipitation data to establish the propagation characteristics of meteorological and hydrological drought in Yunnan, China", published in 'Water Resources Research'.</p> <p>Reference:<br>Zhu, H., Chen, K., Hu, S., Liu, J.,Shi, H., Wei, G., et al. (2023). Using the global navigation satellite system and precipitation data to establish the propagation characteristics of meteorological and hydrological drought in Yunnan, China. Water Resources Research, 59, e2022WR033126. https:// doi.org/10.1029/2022WR033126</p> <p><br>The sitelist file lists basic information about all the utilized stations, including their names and geographic coordinates. <br>The Time.mat file contains the time vectors of the data employed. <br>The Filter_time_series_N/E/U.mat files showcase the filtered time series, which have been processed using Independent Component Analysis (ICA) for the inversion of terrestrial water storage in Yunnan, after removing the effects of outliers, steps, and non-tidal atmospheric/oceanic loading.</p>
Equilibrium Dynamics Shape Diversity Patterns Across Terrestrial Tetrapod Clades
<p>This repository contains all scripts, data, and documentation supporting the analyses in our study. The materials are organized into folders corresponding to specific steps of the workflow. This README provides a detailed guide to the structure, contents, and usage of each folder.</p> <h2>Folder Structure and Contents</h2> <h3>1. Environmental Variables (<code>Grid_level_environment</code>)</h3> <ul> <li> <p>Contains grid-cell level environmental variables in <code>environmental_data.rds</code>.</p> <ul> <li> <p>Includes <strong>temperature</strong> (°C), <strong>precipitation</strong> (mm), and <strong>net primary productivity (NPP)</strong>.</p> </li> <li> <p>Includes <strong>grid cell IDs</strong> and <strong>latitude/longitude coordinates</strong>.</p> </li> </ul> </li> </ul> <h3>2. Evolutionary Rates Across Species and Grid Cells (<code>Grid_level_speciation</code>)</h3> <ul> <li> <p>Contains present-day <strong>speciation rate estimates</strong> for each species.</p> <ul> <li> <p>Includes <strong>DR</strong>, <strong>BAMM</strong>, and <strong>ClaDS</strong> estimates.</p> </li> <li> <p>Maps each species’ speciation rate to its corresponding grid cells.</p> </li> </ul> </li> </ul> <h3>3. Evolutionary Time Across Grid Cells (<code>Grid_level_assemblage_age</code>)</h3> <ul> <li> <p>Contains files used for <strong>BioGeoBEARS DEC model integration</strong> at the grid-cell level for each tetrapod clade (amphibians, reptiles, birds, mammals).</p> </li> <li> <p>Each clade is organized in a separate folder with the following files:</p> <ul> <li> <p><strong>Assemblage age:</strong> <code>arrival_time_clade*.csv</code></p> </li> <li> <p><strong>Most likely biogeographic areas per grid cell:</strong> <code>clade*_biogeo_area.csv</code></p> </li> <li> <p><strong>Presence/absence matrix:</strong> <code>clade*_PAM.csv</code></p> </li> <li> <p><strong>Clade phylogenetic tree:</strong> <code>clade*_tree.tre</code></p> </li> <li> <p><strong>DEC area file:</strong> <code>geo_area_clade*.data</code></p> </li> <li> <p><strong>DEC outputs:</strong> <code>results_DEC_clade*.Rdata</code></p> </li> <li> <p><strong>Estimated geographic area plots across the phylogeny:</strong> <code>DEC_plot_clade*.pdf</code></p> </li> </ul> </li> </ul> <h3>4. Path Analysis Example (<code>Path_model</code>)</h3> <ul> <li> <p>Contains an example R script: <code>path_analysis_clades.R</code>.</p> <ul> <li> <p>Illustrates <strong>path models</strong> applied to tetrapod clades.</p> </li> <li> <p>Example uses <strong>mammalian clades</strong>; replace the dataset to run on other clades.</p> </li> </ul> </li> </ul> <h3>5. Path Analysis Outputs (<code>Path_outputs_&_clade_traits</code>)</h3> <ul> <li> <p>Contains outputs from <strong>path analyses</strong> for each tetrapod clade.</p> <ul> <li> <p><code>Path_all_effects.csv</code> consolidates all path outputs and includes <strong>clade-level traits</strong> (see Methods in the main paper).</p> </li> <li> <p>Other files include:</p> <ul> <li> <p><code>Path_direct_effects.csv</code> – direct effects across clades</p> </li> <li> <p><code>Path_indirect_via_productivity.csv</code> – indirect effects via productivity</p> </li> <li> <p><code>Path_indirect_via_speciation.csv</code> – indirect effects via speciation</p> </li> <li> <p><code>Path_indirect_via_time.csv</code> – indirect effects via evolutionary time</p> </li> </ul> </li> </ul> </li> </ul> <h3>6. Path Output Figures (<code>Path_outputs_figures</code>)</h3> <ul> <li> <p>Contains R scripts to <strong>visualize path model outputs</strong> across tetrapod clades:</p> <ul> <li> <p>Direct effects: <code>Path_direct_effects.R</code></p> </li> <li> <p>Indirect effects: <code>Path_indirect_via_productivity.R</code>, <code>Path_indirect_via_speciation.R</code>, <code>Path_indirect_via_time.R</code></p> </li> <li> <p>Total effects: <code>Path_total_effects.R</code></p> </li> </ul> </li> </ul> <h3>7. Clade-Level Trait Effects on Richness (<code>Clade_level_effects.R</code>)</h3> <ul> <li> <p>Contains the R script <code>Clade_level_effects.R</code>.</p> </li> <li> <p>Explores whether <strong>the effects of the tested predictors on species richness depend on clade-level traits</strong>, including:</p> <ul> <li> <p><strong>Physiological traits:</strong> endothermy vs ectothermy</p> </li> <li> <p><strong>Spatial–historical traits:</strong> climate origin, range size, centroid displacement, displacement rate</p> </li> <li> <p><strong>Temporal/size-related traits:</strong> clade age, species richness</p> </li> </ul> </li> </ul>
Fig. 3 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 3: Map with pie charts for the eight, probably 'active', compounds ('active' compounds = 100 %), illustrating the composition of labial gland secretions of B. terrestris.
Fig. 1 in Cephalic labial gland secretions of males as species recognition signals in bumblebees: are there really geographical variations in the secretions of the Bombus terrestris subspecies? (Hymenoptera: Apidae: Bombus)
Fig. 1: Linear regression of the percentage of the total peak area of 2,3-dihydrofarnesol dodecanoate vs. 2,3-dihydrofarnesol for males of B. terrestris terrestris (Ter-07) aged 14 days (●) and 21 days (▲) old; see Table 2 for details.
Fig. 14. Distribution map. 1 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 14. Distribution map. 1. Alboscia jotajota Campos-Filho, Bichuette & Taiti sp. nov. 2. Androdeloscia akuanduba Campos-Filho, Cardoso & Taiti sp nov. 3. Atlantoscia inflata Campos-Filho & Araujo, 2015. 4. Benthana iporangensis Lima & Serejo, 1993. 5. B. longicornis Verhoeff, 1941. 6. B. olfersii (Brandt, 1833). 7. B. picta (Brandt, 1833). 8. B. taeniata Araujo & Buckup, 1994. 9. Metaprosekia igatuensis Campos-Filho, Fernandes & Bichuette sp. nov. 10. Paratlantoscia rubromarginata (Araujo & Leistikow, 1999). 11. Amazoniscus spica Campos-Filho, Aguiar & Taiti sp. nov. 12. Circoniscus bezzii Arcangeli, 1931. Light gray areas denote Brazilian conservation units. AL = Alagoas; BA = Bahia; CE = Ceará; DF = Distrito Federal; ES = Espírito Santo; GO = Goiás; MA = Maranhão; MG = Minas Gerais; MT = Mato Grosso; PA = Pará; PB = Paraíba; PE = Pernambuco; PI = Piauí; PR = Paraná; RJ = Rio de Janeiro; RN = Rio Grande do Norte; SE = Sergipe; SP = São Paulo; TO = Tocantins.
Fig. 11 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 11. Amazoniscus spica Campos-Filho, Aguiar & Taiti sp. nov., ♀, paratype (MZUSP 40047). A. Habitus, dorsal view. B. Dorsal scale-seta. C. Pereonite 1 epimeron, dorsal view. D. Cephalon and pereonite 1, back view. E. Cephalon, frontal view. F. Pleonites 3–5, telson and uropods. G. Antennula. H. Antenna.
Fig. 9 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 9. Metaprosekia igatuensis Campos-Filho, Fernandes & Bichuette sp. nov., ♀, paratype (LES 6349). A. Left mandible. B. Right mandible. C. Maxillula. D. Maxilla. E. Maxilliped.
Fig. 7 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 7. Androdeloscia akuanduba Campos-Filho, Cardoso & Taiti sp. nov., ♀, paratype (MZUSP 39671) (A) and ♂, holotype (MZUSP 39670) (B–I). A. Uropod. B. Pereopod 1. C. Pereopod 7. D. Genital papilla. E. Pleopod 1. F. Pleopod 2. G. Pleopod 3 exopod. H. Pleopod 4 exopod. I. Pleopod 5 exopod.
Fig. 6 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 6. Androdeloscia akuanduba Campos-Filho, Cardoso & Taiti sp. nov., ♀, paratype (MZUSP 39671). A. Right mandible. B. Left mandible. C. Maxillula. D. Maxilla. E. Maxilliped.
Fig. 5 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 5. Androdeloscia akuanduba Campos-Filho, Cardoso & Taiti sp. nov., ♀, paratype (MZUSP 39671). A. Habitus, dorsal view. B. Dorsal scale-seta. C. Pereonite 1 epimeron, dorsal view. D. Noduli laterales d/c coordinates. E. Noduli laterales b/c coordinates. F. Cephalon, frontal view. G. Pleonites 4–5 and telson. H. Antennula. I. Antenna.
Fig. 4 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 4. Alboscia jotajota Campos-Filho, Bichuette & Taiti sp. nov., ♀, paratype (LES 18852) (A) and ♂, holotype (LES 647) (B–I). A. Uropod. B. Pereopod 1. C. Pereopod 7. D. Genital papila. E. Pleopod 1. F. Pleopod 2. G. Pleopod 3 exopod. H. Pleopod 4 exopod. I. Pleopod 5 exopod.
Fig. 2 in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 2. Alboscia jotajota Campos-Filho, Bichuette & Taiti sp. nov., ♀, paratype (LES 18852). A. Habitus, dorsal view. B. Dorsal scale-seta. C. Pereonite 1 epimeron, dorsal view. D. Noduli laterales d/c coordinates. E. Noduli laterales b/c coordinates. F. Cephalon, frontal view. G. Pleonites 4–5 and telson. H. Antennula. I. Antenna.
Fig. 1. Study areas. A in New species and new records of terrestrial isopods (Crustacea, Isopoda, Oniscidea) of the families Philosciidae and Scleropactidae from Brazilian caves
Fig. 1. Study areas. A. Ressurgência das Areias de Água Quente, PETAR. B. Caverna Passoca Cave, PETAR. C. Vereda da Palha Cave. D. Presidente Olegário karst area. E. Surrounding area of Rio dos Pombos Cave, Povoado de Igatu. F. Rio dos Pombos Cave.
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)
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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.