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10,767 results for “Contribution”
Figures 1–2 in A contribution to the knowledge of Charletonia nazeleae (Acari: Erythraeidae)
Figures 1–2. Charletonia nazeleae (larva collected from Zagros Mountains, ZUTC15001h) – 1. Dorsal view of idiosoma; 2. Ventral view of idiosoma.
Figures 10–15 in A contribution to the knowledge of Charletonia nazeleae (Acari: Erythraeidae)
Figures 10–15. Charletonia nazaleae (holotype larva) – 10. Tr-TFe III; 11. Ge III; 12. Ti III. 13. Ta I; 14. Ta II; 15. Ta III.
Figure 3 in A contribution to the knowledge of Charletonia nazeleae (Acari: Erythraeidae)
Figure 3. Charletonia nazaleae (larval holotype) – Ventral view (left) and dorsal view (right) of gnathosoma.
Atmospheric Dust Source Contributions and Synoptic Scale Adjustments in the East Asian Region in April of 2021
<p>The WRF-Chem simulations were conducted to assess the source contributions to the concentrations and ratios across the East Asian region in April 2021. The WRF-Chem baseline was compiled, and sensitivity simulations were conducted regarding the source contributions to the concentrations of PM10 BASE, PM10 Anthro, PM10 Dust, and PM10 Biomass. </p> <p>In our dataset, you can find PM10 concentrations of WRF-Chem baseline simulations and other sensitivity-simulated PM10 concentrations of multi-sources of anthropogenic, wind-blown dust, and biomass-burning emissions. Furthermore, model meteorological variables of air temperature, wind, surface level pressure, and geopotential height can be found here.</p> <p>If you have any difficulty downloading these datasets, please feel free to contact the first author, kimhsung@gmail.com. All references and acknowledgments can be found in our paper.</p> <p> </p>
Fig. 12 in Contribution to the knowledge of the Ichneumoninae (Hymenoptera, Ichneumonidae) of Yemen
Fig. 12: Lateral view of head and pronotum (elongate epomia see arrow) of Epomiator yemeniticus nov.sp. ♀.
Figs 5-7 in Contribution to the knowledge of the Ichneumoninae (Hymenoptera, Ichneumonidae) of Yemen
Figs 5-7: Lissosculpta tangana yemeniticus ssp. nov.♁ (5) habitus from lateral, (6) face from frontal, (7) head from dorsal.
Figs 16-21 in Contribution to the knowledge of Oriental Syzeuctus FÖRSTER (Hymenoptera, Ichneumonidae, Banchinae), with description of six new species
Figs 16-21: Heads from frontal: (16) Syzeuctus achterbergi nov.sp. ♀ HT; (17) S. floresiensis nov.sp. ♀ HT; (18) S. genator nov.sp. ♀ HT; (19) S. laoticus nov.sp. ♀ HT; (20) S. orientalis nov.sp. ♁ HT; (21) S. siamensis nov.sp. ♀ HT.
Figs 10-15 in Contribution to the knowledge of Oriental Syzeuctus FÖRSTER (Hymenoptera, Ichneumonidae, Banchinae), with description of six new species
Figs 10-15: Faces from frontal: (10) Syzeuctus achterbergi nov.sp. ♀ HT; (11) S. floresiensis nov.sp. ♀ HT; (12) S. genator nov.sp. ♀ HT; (13) S. laoticus nov.sp. ♀ HT; (14) S. orientalis nov.sp. ♁ HT; (15) S. siamensis nov.sp. ♀ HT.
Abb. 1a-f in Contribution to the preparation and determination of families Anobiidae und Ptinidae (Coleoptera, Teredilia)
Abb. 1a-f: Habitus und Genitalvergleich. (1a, 1d) Anobium punctatum (DEGEER, 1774); (1b, 1e) Anobium hederae IHSSEN, 1949; (1c, 1f) Anobium inexpectatum LOHSE, 1954.
Fig. 1 in Contribution to the knowledge of the Ichneumoninae (Hymenoptera, Ichneumonidae) of Yemen
Fig. 1: Habitus of Spilothyrateles arabicus nov.sp. ♀ from lateral. Fig. 2: Habitus of Stenaoplus harteni nov.sp. ♀ from lateral.
Figs 4-9 in Contribution to the knowledge of Oriental Syzeuctus FÖRSTER (Hymenoptera, Ichneumonidae, Banchinae), with description of six new species
Figs 4-9: Basal tergites from dorsal: (4) Syzeuctus achterbergi nov.sp. ♀ HT; (5) S. floresiensis nov.sp. ♀ HT; (6) S. genator nov.sp. ♀ HT; (7) S. laoticus nov.sp. ♀ HT; (8) S. orientalis nov.sp. ♁ PT; (9) S. siamensis nov.sp. ♀ HT.
Abb. 1a-f in Contribution to the preparation and determination of families Anobiidae und Ptinidae (Coleoptera, Teredilia)
Abb. 1a-f: Habitus and comparison. (1a, 1d) Anobium punctatum (DEGEER, 1774); (1b, 1e) Anobium hederae IHSSEN, 1949; (1c, 1f) Anobium inexpectatum LOHSE, 1954.
Figs 1-3 in Contribution to the knowledge of Oriental Syzeuctus FÖRSTER (Hymenoptera, Ichneumonidae, Banchinae), with description of six new species
Figs 1-3: Habitus from dorsal: (1) Syzeuctus laoticus nov.sp. ♀ holotype (HT); (2) S. siamensis nov.sp. ♀ HT; (3) S. orientalis nov.sp. ♁ paratype (PT).
The contribution of Neanderthal introgression and natural selection to neurodegenerative diseases
<p>Files used to create binary annotations for LDSC in the following repository: https://github.com/RHReynolds/als-neanderthal-analysis.</p> <p>See the following link for details: https://github.com/RHReynolds/als-neanderthal-analysis/tree/main/raw_data/01_annotations</p>
Sample intensity and contribution function data for demcmc
<p>Sample intensity and contribution functions. The intensities are taken from a single pixel of a Hinode/EIS map. The contribution functions were calculated using Chianti 10.0.2, assuming a pre-calculated density from the intensities.</p>
Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia
<p>These CSV and R script files are the dataset and codes used for the analysis in the following <a href="https://www.nature.com/articles/s41467-023-36671-1">journal paper</a>:</p> <p>Kohyama, T.I., Sheil, D., Sun, IF. <em>et al.</em> Contribution of tree community structure to forest productivity across a thermal gradient in eastern Asia. <em>Nat Commun</em> <strong>14</strong>, 1113 (2023). https://doi.org/10.1038/s41467-023-36671-1</p> <p> </p> <p><strong>Contents</strong></p> <ul> <li>d0.csv — Individual tree-stem size data obtained by two censuses in 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>species</code> — Scientific name</li> <li><code>t1</code> — Year of the first census</li> <li><code>t2</code> — Year of the second census</li> <li><code>dbh1</code> — Stem diameter (cm) at the first census*<sup>1</sup></li> <li><code>dbh2</code> — Stem diameter (cm) at the second census*<sup>1</sup></li> <li><code>w1</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>w2</code> — Estimated above ground biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>wl1</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the first census</li> <li><code>wl2</code> — Estimated leaf biomass (Mg C ha<sup>−1</sup>) at the second census</li> </ul> </li> </ul> <p> </p> <ul> <li>d1.csv — Species-level biomass, productivity and other turnover rates in each of 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>t1</code> — Year of the first census</li> <li><code>t2</code> — Year of the second census</li> <li><code>species</code> — Scientific name</li> <li><code>N</code> — Period mean number of stems (ha<sup>−1</sup>)</li> <li><code>B</code> — Period mean above ground biomass (Mg C ha<sup>−1</sup>)</li> <li><code>Bl</code> — Period mean leaf biomass (Mg C ha<sup>−1</sup>)</li> <li><code>p</code> — Relative above ground biomass productivity rate (year<sup>−1</sup>)</li> <li><code>l</code> — Relative above ground biomass loss rate (year<sup>−1</sup>)</li> <li><code>P</code> — Absolute above ground biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>L</code> — Absolute above ground biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>pl</code> — Relative leaf biomass productivity rate (year<sup>−1</sup>)</li> <li><code>ll</code> — Relative leaf biomass loss rate (year<sup>−1</sup>)</li> <li><code>Pl</code> — Absolute leaf biomass productivity rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>Ll</code> — Absolute leaf biomass loss rate (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> <li><code>w_max</code> — Period mean above ground biomass of the largest tree (Mg C ha<sup>−1</sup>)</li> <li><code>w_99</code> — The 99-th percentaile of tree above ground biomass (Mg C ha<sup>−1</sup>)</li> <li><code>rgr_max</code> — Relative growth rate of the largest tree (year<sup>−1</sup>)</li> </ul> </li> </ul> <p> </p> <ul> <li>plot_metadata.csv — Metadata (e.g. location and climate variables) for 60 forest plots in eastern Asia <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>latitude</code> — Latitude in decimal degrees (°)</li> <li><code>longitude</code> — Longitude in decimal degrees (°)</li> <li><code>elevation</code> — Elevation (m)</li> <li><code>area</code> — Plot area (ha)</li> <li><code>MAT</code> — Mean annual temperature (°C)*<sup>2</sup></li> <li><code>AP</code> — Annual precipitation (mm year<sup>−1</sup>)*<sup>2</sup></li> <li><code>PET</code> — Potential evapotranspiration (mm year<sup>−1</sup>)*<sup>2</sup></li> </ul> </li> </ul> <p> </p> <ul> <li>annual_litterfall.csv — Annual fine litterfall (i.e. canopy productivity) obtained by monthly litterfall records collected by litter traps during same census period in 22 forest plots <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>Plitter</code> — Annual litterfall production (Mg C ha<sup>−1</sup> year<sup>−1</sup>)</li> </ul> </li> </ul> <p> </p> <ul> <li>max_tree_height.csv — Tallest tree height for 388 species in 11 forest plots <ul> <li><code>plot_id</code> — Plot ID</li> <li><code>species</code> — Scientific name</li> <li><code>H_max</code> — tallest tree height (m)</li> </ul> </li> </ul> <p> </p> <ul> <li>productivity.r — R script for estimating forest-level aboveground net productivity</li> </ul> <p> </p> <p>*<sup>1 </sup>No-record diameters due to death in the second census and pre-recruitment in the first census were set to zero.</p> <p>*<sup>2</sup> Climate data for the period 1981–2010 were obtained from CHELSA version 2.1 (Krager et al. 2021 EnviDat, https://doi.org/10.16904/envidat.228.v2.1)</p>
Fig. 2 in Taxonomic Contribution To The Knowledge Of The Oribatid Mite Subgenus Scheloribates (Perscheloribates) (Acari, Oribatida, Scheloribatidae)
Fig. 2. Scheloribates (Perscheloribates) oromiaensis sp. n., adult: A = subcapitulum ventral view; B = palp, right, antiaxial view; C = chelicera, left, paraxial view; D = leg I, right, antiaxial view; E = leg II, without tarsus, right, antiaxial view; F = leg III, without tarsus, left,
Fig. 1 in Taxonomic Contribution To The Knowledge Of The Oribatid Mite Subgenus Scheloribates (Perscheloribates) (Acari, Oribatida, Scheloribatidae)
Fig. 1. Scheloribates (Perscheloribates) oromiaensis sp. n., adult: A = dorsal view (not shown: legs); B = ventral view (not shown: gnathosoma and legs); C = right lateral view (not shown:
Scale insects contribute to spider conservation in urban trees and shrubs
<p>Urbanization filters arthropod communities and selects for species tolerant of urban conditions. Spiders are key generalist predators in urban ecosystems, but certain spider families are rare in cities compared to rural areas. The unique arthropod communities found in different tree species likely affect their ability to conserve spiders by providing different prey resources. If arthropods disperse from trees to plants growing below trees, the conservation benefits of the arthropod communities found in trees may also extend to plants growing beneath them. Certain urban tree species can host high densities of scale-insects and other arthropods that may provide important prey resources for spiders. To assess the conservation value of different arthropod communities in urban trees, we collected spiders from scale-infested and scale-uninfested trees and from shrubs under these trees. We used hanging cup traps to collect spiders that fell from both tree types. Spider abundance was greater within, and in shrubs below, scale-infested compared to scale-uninfested trees. Scale-infested trees hosted more orb web weaving spiders than scale-uninfested trees. Shrubs under scale-infested trees hosted more hunting, orb web weaving, and space web weaving spiders than shrubs under uninfested trees. Our findings suggest that scale-infested urban trees, and the robust arthropod communities they support, conserve certain spider guilds, and these benefits extend to other plants in the landscape.</p> <p><strong>Implications for insect conservation:</strong> The ability of urban trees to conserve spider communities is in part attributable to the abundance of potential prey available within trees. Therefore, tolerating pests such as scale insects in urban trees can conserve spider communities both within trees and in shrubs planted below these trees.</p>
Pyrolysis Model Data Set Contribution for the MaCFP Workshop April 2021 - Dataset
<p>This is a contribution of material parameters for pyolysis modelling, to the <a href="https://iafss.org/macfp/">MaCFP Workshop in April 2021</a>.</p> <p> </p> <p>This repository contains the input files for the inverse modelling process (IMP), the data bases with the IMP results, the analysis scripts and the simulation data of the requested model predictions.</p> <p>Different approaches were followed and all their data is stored here. Only two of them were presented to the MaCFP Workshop and were labelled "Approach A" and "Approach B" in the submitted report. Note however, that the labelling of the conducted IMP's is different.</p> <ul> <li>Approach A: R2_CAPAII_UMD_60_from_TGA_LCPP (Case A2)</li> <li>Approach B: R2_CAPAII_UMD_25_60_TGA_LCPP_2_5_15_20_range_rep_03 (Case B2)</li> </ul> <p> </p> <p>An intermediate naming convention was introduced as follows:</p> <ul> <li>Case A1: TGA: R2_CAPAII_UMD_25_60_from_TGA_LCPP, CAPA II: R2_CAPAII_UMD_25_60_from_TGA_LCPP</li> <li>Case A2: TGA: R2_CAPAII_UMD_25_60_from_TGA_LCPP, CAPA II: R2_CAPAII_UMD_60_from_TGA_LCPP</li> <li>Case A3: TGA: R2_TGA_UMET_1_10_50_Methane_Scen_00_neu, CAPA II: R2_CAPAII_UMD_25_60_from_TGA_UMET</li> <li>Case A4: TGA: R2_TGA_UMET_1_10_50_Methane_Scen_00_neu, CAPA II: R2_CAPAII_UMD_60_from_TGA_UMET</li> <li>Case B1: TGA and CAPA II: R2_CAPAII_UMD_25_60_TGA_LCPP_2_5_15_20_range_rep_02</li> <li>Case B2: TGA and CAPA II: R2_CAPAII_UMD_25_60_TGA_LCPP_2_5_15_20_range_rep_03</li> <li>Case B3: TGA and CAPA II: R2_CAPAII_UMD_25_60_TGA_LCPP_2_5_15_20_rep_02</li> </ul> <p>Note: The two archives mimic the directory structure of the project, where both are at the same lavel next to each other. If you would want to run the analysis scripts the relative file paths should work out of the box.</p> <p> </p> <p>Version 1.1: Added description and README.</p> <p> </p> <p>Version 1.2: Added archive containing the FDS input and output of approaches A and B directly (one does not need to download the full IMP_Runs21.rar), as well as the files contributed to the MaCFP-2 workshop.</p>
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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.