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12,237 results for “2019”
La ilusión de la Materia - Chile - 2019 - 30
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
Carabid beetle dataset - Lahti, Finland 2019
<p>Carabid beetle dataset<br> Location: Lahti, Finland<br> Collected: 2019<br> Habitat: spruce (Picea abies) dominated semi-natural forest/remnant forests<br> Sites collected: 3 control forest patches, 10 forest patches in an agricutural landscape, 8 forest fragments in an urban landscape, 7 forested islands in lake Vesijäri.</p> <p>Excel dataset properties:<br> TAB: fragment size,locations = fragment sizes, google maps link, site names and coordinates<br> TAB: carabids,abundance,size = carabid beetles collected. Body length and elytra length (in mm) of each individual collected per site per visit. Additional information include dates of trap placement and retrieval per visit, and number of traps active and lost per site per visit.<br> TAB: other taxa-abundance = Number of Gastropoda, Araneae and Formicidae individuals collected per site per visit.<br> TAB: vegetation = percentage cover of the field layer, ground layer and the canopy. Five reps per site. 15 litter depth measurements (in cm) per site. Proportion of conifer/deciduous trees per site.<br> TAB: soil data = percentage soil moisture, percentage organic matter (OM) and pH per site, measured from composite samples (4 subsamples per site).</p>
Full-coverage atmospheric CO2 reconstruction data in China from 2010 to 2019
<p>This monthly atmospheric CO2 dataset was reconstructed from GOSAT XCO2 retrievals using a spatiotemporal kriging method. We employed this dataset to investiage the spatiotemporal variation in atmospheric CO2 and its influencing factors. Please the publication as below:</p><p>--Chen, X., He, Q., Ye, T., Liang, Y., & Li, Y. (2023). Decoding spatiotemporal dynamics in atmospheric CO2 in Chinese cities: Insights from satellite remote sensing and geographically and temporally weighted regression analysis. <i>Science of The Total Environment</i>, 167917.</p><p> </p><p>We also share other atmopsheric reconstruction datasets:</p><p>For full-coverage, 1-km, AOD data in China, please go to <a href="https://dataverse.harvard.edu/dataverse/atmospheric_data_by_WHUT">harvard dataverse</a>. This dataset was imputed based on MODIS MAIAC 1-km AOD retrievals.</p><p>For full-coverage, 1-km, CO2 data in China, please go to <a href="https://zenodo.org/doi/10.5281/zenodo.10022904">10.5281/zenodo.10022904. </a>This dataset was reconstructed based on OCO-2 XCO2 retrievals and machine learning algorithm.</p><p>For full-covereage, 1-km, PM2.5 data in China, please go to <a href="https://zenodo.org/doi/10.5281/zenodo.8437234">10.5281/zenodo.8437234 or </a><a href="https://zenodo.org/record/8347128">10.5281/zenodo.8347128.</a></p>
Fig. 12 in Viuria Grishin, 2019 (Lepidoptera: Hesperiidae): taxonomy, description of two new species, and remarks on the morphology of secondary sexual organs of males
Fig. 12. Female genitalia of species of Viuria Grishin, 2019. A–B. Viuria herophile (Harward, 1914) (DZ 47.201), left lateral view and sterigma. C. V. licisca (Plötz, 1882) (DZ 47.201), sterigma. D. V. lista (Evans, 1953) (DZ 47.201), sterigma. E. V. inanna sp. nov., paratype (DZ 52.498), sterigma. F. V. acadia sp. nov., paratype (DZ 52.524), sterigma.
Fig. 6 in Viuria Grishin, 2019 (Lepidoptera: Hesperiidae): taxonomy, description of two new species, and remarks on the morphology of secondary sexual organs of males
Fig. 6. Male genitalia of Viuria lista (Evans, 1953) (OM 4.507). A. Left lateral view. B. Right lateral view. C. Dorsal view. D. Ventral view. E. Aedeagus, lateral view. F. Aedaegus, dorsal view. Scale bar: 500 µm.
Supplementary material 1 from: Magesh S, Jonsson V, Bengtsson-Palme J (2019) Mumame: a software tool for quantifying gene-specific point-mutations in shotgun metagenomic data. Metabarcoding and Metagenomics 3: e36236. https://doi.org/10.3897/mbmg.3.36236
Table S1
Supplementary material 1 from: Apolinario C, Silveira LF (2019) Hybridism between Cyanocorax chrysops and Cyanocorax cyanopogon (Aves: Corvidae) in Brazil. Zoologia 36: 1-7. https://doi.org/10.3897/zoologia.36.e32138
Specimens examined
Supplementary material 2 from: Magesh S, Jonsson V, Bengtsson-Palme J (2019) Mumame: a software tool for quantifying gene-specific point-mutations in shotgun metagenomic data. Metabarcoding and Metagenomics 3: e36236. https://doi.org/10.3897/mbmg.3.36236
Figure S1
Supplementary material 1 from: Solé R, Gripenberg S, Lewis OT, Markesteijn L, Barrios H, Ratz T, Ctvrtecka R, Butterill PT, Segar ST, Metz MA, Dahl C, Rivera M, Viquez K, Ferguson W, Guevara M, Basset Y (2019) The role of herbivorous insects and pathogens in the regeneration dynamics of Guazuma ulmifolia in Panama. Nature Conservation 32: 81-101. https://doi.org/10.3897/natureconservation.32.30108
Supplementary tables S1-S4, Appendix S1, Plate S1
Supplementary material 1 from: Cerrato C, Rocchia E, Brunetti M, Bionda R, Bassano B, Provenzale A, Bonelli S, Viterbi R (2019) Butterfly distribution along altitudinal gradients: temporal changes over a short time period. In: Mazzocchi MG, Capotondi L, Freppaz M, Lugliè A, Campanaro A (Eds) Italian Long-Term Ecological Research for understanding ecosystem diversity and functioning. Case studies from aquatic, terrestrial and transitional domains. Nature Conservation 34: 91-118. https://doi.org/10.3897/natureconservation.34.30728
Supplementary data
Supplementary material 1 from: Zhang S-N, Hyde KD, Jones EBG, Jeewon R, Cheewangkoon R, Liu J-K (2019) Striatiguttulaceae, a new pleosporalean family to accommodate Longicorpus and Striatiguttula gen. nov. from palms. MycoKeys 49: 99-129. https://doi.org/10.3897/mycokeys.49.30886
Phylogenetic analysis
Supplementary material 1 from: Guerrero-Jiménez G, Vannucchi PE, Silva-Briano M, Adabache-Ortiz A, Rico-Martínez R, Roberts D, Neilson R, Elías-Gutiérrez M (2019) Brachionus paranguensis sp. nov. (Rotifera, Monogononta), a member of the L group of the Brachionus plicatilis complex. ZooKeys 880: 1-23. https://doi.org/10.3897/zookeys.880.28992
Figures S1–S2
La ilusión de la Materia - Chile - 2019 - 37
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 45
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 19
Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 46
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 35
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 41
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 33
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
La ilusión de la Materia - Chile - 2019 - 42
Public sculpture after october 18, 2019, Santiago of Chile. Source: Objaverse 1.0 / Sketchfab
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.