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17,039 results for “Natural”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Pavel Štys, <a href="http://www.wikidata.org/entity/Q21340144">http://www.wikidata.org/entity/Q21340144</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Distinct binding hotspots for natural and synthetic agonists of FFA4 from in silico approaches
<p>Compressed trajectories files of natural and synthetic ligands (TUG-891, alpha-Linolenic acid, Linoleic acid and Oleic acid) as supporting information for a research article in Molecular Informatics exploring binding hotspots of FFA4.</p> <p>Each compressed trajectories comprise of a pdb file (xx_Rx.pdb) and its associated trajectory file (xx_Rx_TRJ.trr ) to be read using vmd.</p> <p> </p> <p> </p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Hermano Apolinar María, <a href="http://www.wikidata.org/entity/Q107151087">http://www.wikidata.org/entity/Q107151087</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Josef Ambrož, <a href="http://www.wikidata.org/entity/Q21505159">http://www.wikidata.org/entity/Q21505159</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Creu Casas Sicart, <a href="http://www.wikidata.org/entity/Q5790871">http://www.wikidata.org/entity/Q5790871</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Baltasar Merino, <a href="http://www.wikidata.org/entity/Q8240970">http://www.wikidata.org/entity/Q8240970</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Erich Uhmann, <a href="http://www.wikidata.org/entity/Q18746787">http://www.wikidata.org/entity/Q18746787</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Data: Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality
<p><strong>The repository contains the data supporting the findings of the study: <em>Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality</em></strong></p> <p><strong>Abstract:</strong></p> <p>Close-to-nature forestry (CNF) has a long tradition in European Alpine forest management, playing a crucial role in ensuring the continuous provision of biodiversity and forest ecosystem services, including protection against natural hazards. However, climate change is causing huge uncertainties about the future applicability of CNF in the Alpine region. The question arises as to whether current CNF practices are still suitable for adapting forests to climate change impacts while also meeting the increasing societal demands regarding Alpine forests, including their potential contribution to climate change mitigation.</p> <p>To answer this question, we simulated forest development using the ForClim forest model at two Alpine study sites, together representing a large biogeographic gradient from high-elevation inner Alpine forests (Switzerland) to lower-elevation south-eastern Alpine forests (Slovenia). The simulations considered three climate scenarios (historical climate, SSP2‑4.5 and SSP5-8.5) and six alternative management strategies, including both current CNF management practices and climate-adapted versions. Using a multi-criteria decision analysis framework, we assessed the joint impacts of climate and management on biodiversity and key ecosystem services of the investigated regions, including carbon sequestration (CS) inside and outside the forest ecosystem boundary. </p> <p>The joint effects of climate change and CNF varied, both among and within the study sites along the biogeographical gradient. While CS was more resistant to climate change under current CNF at the south-eastern Alpine site, it was more sensitive at the inner Alpine site, where CS potentials decreased at lower elevations. This adverse effect could be partly mitigated by fostering the use of climate-adapted tree species. However, current CNF and adaptations of it did not meet multiple management objectives equally well: while protection from gravitation hazards and timber production also benefited from this silvicultural practice, biodiversity benefited from CNF variants with low-intensity or no management. </p> <p>In conclusion, CNF has a high potential to continue fulfilling its crucial role in European Alpine forests. A differentiated approach will be needed in the future, however, to identify forest stands where adaptive measures are required, especially at sites particularly vulnerable to climate change. In combination with less intensively managed or unmanaged areas, CNF provides a management portfolio that will help European Alpine forests to meet the demands of future society.</p> <p><strong>Data:</strong></p> <p>There is one folder for each case study, including: </p> <ul> <li>simulated biodiverstiy and ecosystem service indicators</li> <li>forest stand metadata</li> <li>normlized utility values for indicators</li> <li>partial utility values for biodiversity and ecosystem service groups</li> </ul> <p>This study was conducted as part of the <strong>ONEforest project</strong>, which received funding from the <strong>European Union's Horizon 2020</strong> research and innovation programme under the <strong>grant agreement Nº 101000406</strong>.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Bartolomé Casaseca, <a href="http://www.wikidata.org/entity/Q21507062">http://www.wikidata.org/entity/Q21507062</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Xavier Soñora, <a href="http://www.wikidata.org/entity/Q21609210">http://www.wikidata.org/entity/Q21609210</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Eduardo Seijas, <a href="http://www.wikidata.org/entity/Q12387301">http://www.wikidata.org/entity/Q12387301</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Luis Freire García, <a href="http://www.wikidata.org/entity/Q12392463">http://www.wikidata.org/entity/Q12392463</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by José Mansanet, <a href="http://www.wikidata.org/entity/Q21519908">http://www.wikidata.org/entity/Q21519908</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Ernesto Viéitez Cortizo, <a href="http://www.wikidata.org/entity/Q8777407">http://www.wikidata.org/entity/Q8777407</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Dataset for publication "Altermagnetic lifting of Kramers spin degeneracy", Nature volume 626, pages 517–522 (2024), https://doi.org/10.1038/s41586-023-06907-7
<p>Dataset for publication https://doi.org/10.1038/s41586-023-06907-7, "Altermagnetic lifting of Kramers spin degeneracy", Nature volume 626, pages 517–522 (2024). Dataset include input and potential files for calculation on SPR-KKR package 8.6. </p> <p>Detailed descriptions are in the README text documents in subdirectories.</p>
Figure 27 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 27. Phylogeny of the siboglinid genus Osedax based on Bayesian analysis of a combined dataset of the genes COI, 16S and 18S. Numbers adjacent to nodes indicate posterior probabilities, and taxa for which sequences have been contributed by the present study are indicated in bold. Clades containing individuals with nude, pinnulate or no palps are also highlighted.
Figure 17 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 17 (facing page). Nereis sp., specimen NHMUKANEA 2022.436. (A) Complete preserved specimen, dorsal view, scale bar is 1 mm; (B) detail of prostomium in dorsal view, scale bar is 500 µm; (C) partially everted pharynx, scale bar is 500 µm; (D) anterior parapodium (number 6), scale bar is 250 µm; (E) mid-body parapodium (number 20), scale bar is 250 µm; (F) parapodium from near posterior (number 36), scalebaris 250 µm. G–Q, chaetal types; A–D from 6th parapodium, E–H from 20th parapodium, I–K from 36th parapodium; (G) notopodial homogomph spiniger, scale bar is 25 µm; (H) neuropodial supra-acicular homogomph spiniger, scale bar is 25 µm; (I) neuropodial supra-acicular heterogomph falciger, scale bar is 50 µm; (J) neuropodial sub-acicular heterogomph falciger, scale bar is 25 µm; (K) notochaetal bundle, scale bar is 50 µm; (L) neurochaetal supra-acicular bundle, scale bar is 50 µm; (M) neuropodial sub-acicular heterogomph falcigers, scale bar is 50 µm; (N) neuropodial sub-acicular heterogomph spinigers, scale bar is 50 µm; (O) notopodial homogomph falcigers, scale bar is 50 µm; (P) neuropodial supra-acicular homogomph spinigers, scale bar is 50 µm; (Q) neuropodial sub-acicular heterogomph spinigers and falcigers, scale bar is 50 µm.
Figure 15 in The Annelid Community of a Natural Deep-sea Whale Fall off Eastern Australia
Figure 15 (facing page). Neanthes visicete sp. nov., holotype specimen AMW.53704. (A) Living complete individual, scale bar is 5 mm; (B) detail of prostomium, scale bar is 1 mm; (C) detail of parapodia from middle of body, scale bar is 500 µm; (D) detail of ventral side of pygidium, scale bar is 500 µm; (E) anterior parapodium (number 13), scale bar is 250 µm; (F) mid-body parapodium (number 28), scale bar is 100 µm; (G) parapodium from near posterior (number 67), scale bar is 200 µm; (H) notopodial homogomph spinigers, scale bar is 50 µm; (I) neuropodial homogomph spinigers and homogomph falcigers, dorsal fascicle, scale bar is 50 µm; (J) neuropodial homogomph spinigers and homogomph falcigers, ventral fascicle, scale bar is 50 µm; (K) neuropodial supra-acicular homogomph spinigers, scale bar is 20 µm; (L) neuropodial sub-acicular long and short-bladed spinigers, scale bar is 20 µm. Abbreviations: hos, homogomph spiniger; hof, homogomph falciger.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Karl Friedrich Meinshausen, <a href="http://www.wikidata.org/entity/Q5958256">http://www.wikidata.org/entity/Q5958256</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Figure 3 in Shell size differences in Helix lucorum Linnaeus, 1758 (Mollusca: Gastropoda) between natural and urban environments
Figure 3. Error bars of mean values of SOS and AOS variables are shown with 99% confidence intervals.
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)
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.