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17,039 results for “Natural”

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zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Andrew John Charles Grierson, <a href="http://www.wikidata.org/entity/Q5675313">http://www.wikidata.org/entity/Q5675313</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Helen Niña Tappan Loeblich, <a href="http://www.wikidata.org/entity/Q1601867">http://www.wikidata.org/entity/Q1601867</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Charles Bixler Heiser, <a href="http://www.wikidata.org/entity/Q975697">http://www.wikidata.org/entity/Q975697</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Anton Hermann Fassl, <a href="http://www.wikidata.org/entity/Q15917282">http://www.wikidata.org/entity/Q15917282</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Boris C. Kondratieff, <a href="http://www.wikidata.org/entity/Q21337717">http://www.wikidata.org/entity/Q21337717</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Fig. 1 in High Genetic Diversity of Amoebae Belonging to the Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) in Natural Habitats

Fig. 1. Diversity of locomotive and floating forms of studied strains: A–E – Mayorella sp. strain Belaya; F–J – Mayorella sp. strain 2Th5; K–O – Mayorella sp. strain FE 16; P–S – Mayorella sp. strain JJP2003. DIC and phase contrast images, scale bar is 20 μm.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Fig. 4 in High Genetic Diversity of Amoebae Belonging to the Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) in Natural Habitats

Fig. 4. Phylogenetic tree based on SSU rRNA gene sequences for Mayorella species only, with few outgroups. Supports are indicated as PP/ BS; black dots indicate 1.0/100 PP/BS support. GTR + γ + I model of evolution; 1414 sites.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Fig. 3 in High Genetic Diversity of Amoebae Belonging to the Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) in Natural Habitats

Fig. 3. Phylogenetic tree based on SSU rRNA gene sequences for all available Mayorella sequences and a wide sample of Discosea and Tubulinea taxa. Supports are indicated as PP/BS; black dots indicate 1.0/100 PP/BS support. GTR + γ + I model of evolution; 1554 sites.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Fig. 2 in High Genetic Diversity of Amoebae Belonging to the Genus Mayorella (Amoebozoa, Discosea, Dermamoebida) in Natural Habitats

Fig. 2. Diversity of locomotive and floating forms of studied strains: A–E – Mayorella sp. strain Amur_2; F–J – Mayorella sp. strain FE_2; K–O – Mayorella sp. strain Germany; P–T – Mayorella sp. strain FE_mz241; U–Y – Mayorella sp. strain Oklahoma. Scale bar is 20 μm.

opencc-by-4.0Dec 2018View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Franz Ungern-Sternberg, <a href="http://www.wikidata.org/entity/Q5868698">http://www.wikidata.org/entity/Q5868698</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Carlo Luigi Giuseppe Bertero, <a href="http://www.wikidata.org/entity/Q522467">http://www.wikidata.org/entity/Q522467</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Giovanni Casaretto, <a href="http://www.wikidata.org/entity/Q3107130">http://www.wikidata.org/entity/Q3107130</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Data for: How natural foreshores offer flood protection during dike breaches: An explorative flume study

<p>Data from an explorative flume study on dike breaches with foreshores.&nbsp;</p><p>1. Data from pressure sensors to obtain water depths at three locations within the flume.<br>2. Images from video material to analyse top view flume.&nbsp;&nbsp;</p><p>The data is described in the following publication:<br>van den Hoven, K., J. van Belzen, M.G. Kleinhans.&nbsp;D.M.J. Schot, J.&nbsp;Merry, J.M. van Loon-Steensma,&nbsp;T.J. Bouma. How natural foreshores offer flood protection during dike breaches: An explorative flume study. Estuarine, Coastal and Shelf Science 108560. https://doi.org/10.1016/j.ecss.2023.108560</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Nature Communications 2020 Kopp et al JunD ChIP-seq SeqDatas

<p>This record represents SeqData objects saved as Zarr files (https://github.com/ML4GLand/SeqData) derived from ENCODE consortium ChIP-seq experiments with the JunD transcription. This data was used in one of the use cases in the EUGENe publication (https://github.com/ML4GLand/EUGENe_paper), and includes objects used in various tutorials available in the ML4GLand GitHub organization.</p> <p>These files are primarily accessed via the SeqDatasets package (https://github.com/ML4GLand/SeqDatasets).</p>

opencc-by-4.0Sep 2023View details →
zenodo40/100

NLAS-multi: A Multilingual Corpus of Automatically Generated Natural Language Argumentation Schemes

<p>The multilingual corpus of natural language argumentation schemes (NLAS-multi)&nbsp;consists of 3,810 natural language argumentation schemes&nbsp;of which 1,893 are in English and 1,917 in Spanish. It has a total of 253,516 words distributed in 118,493 words in English and 135,023 words in Spanish.&nbsp;In terms of inferences, our corpus has a total of 7,964 (3,949 in English and 4,015 in Spanish).&nbsp;Furthermore, the NLAS-multi&nbsp;corpus contains a total of 23,781 conflict relations between arguments in the same topic.</p>

opencc-by-nc-sa-4.0Sep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Edmund Kirby Smith, <a href="http://www.wikidata.org/entity/Q551560">http://www.wikidata.org/entity/Q551560</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Karl Alfred von Zittel, <a href="http://www.wikidata.org/entity/Q61904">http://www.wikidata.org/entity/Q61904</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Cicely Kate Bertram, <a href="http://www.wikidata.org/entity/Q6375370">http://www.wikidata.org/entity/Q6375370</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Vladimír Úlehla, <a href="http://www.wikidata.org/entity/Q20056772">http://www.wikidata.org/entity/Q20056772</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>.

opencc-zeroSep 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Simeon Burt Wolbach, <a href="http://www.wikidata.org/entity/Q7517577">http://www.wikidata.org/entity/Q7517577</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>.

opencc-zeroSep 2023View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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