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1,003 results for “darkness”

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dryad32/100

Data from: Estimating dark diversity and species pools: an empirical assessment of two methods

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publicJul 2016View details →
dryad32/100

Data from: Observed and dark diversity dynamics over millennial time scales: Fast-life history traits linked to expansion lags of plants in northern Europe

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publicJan 2023View details →
dryad32/100

Data from: Feather melanin and micro-structure variation in dark-eyed junco (Junco hyemalis) across an elevational gradient in the Selkirk Mountains

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publicSep 2016View details →
dryad32/100

The dark side of rocks: an underestimated high-quality food resource in river ecosystems

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publicMar 2021View details →
dryad32/100

Legacy of Amazonian Dark Earth soils on forest structure and species composition

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publicMar 2021View details →
dryad32/100

Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees

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publicOct 2018View details →
dryad32/100

Data from: Phylogeography of the dark fruit-eating bat Artibeus obscurus in the Brazilian Amazon

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publicAug 2013View details →
dryad32/100

Data from: Pale and dark morphs of tawny owls show different patterns of telomere dynamics in relation to disease status

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publicJun 2017View details →
dryad32/100

Data from: Seeing in the dark: Using thermal imaging to directly observe nocturnal migration

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publicDec 2025View details →
dryad32/100

Dark extinction: The problem of unknown historical extinctions

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publicFeb 2021View details →
zenodo28/100

FIGURE 112. Dark colored male G in Crickets of the genus Gryllus in the United States (Orthoptera: Gryllidae: Gryllinae)

FIGURE 112. Dark colored male G. armatus from Cornudas, TX (S01-65, R01-177).

opennotspecifiedDec 2019View details →
zenodo28/100

Fig. 3 in Redescription of Schizodon dissimilis and appraisal of the dark barred species of the genus (Characiformes: Anostomidae)

Fig. 3. Schizodon species. (a) Schizodon dissimilis, MZUSP 55143, 220.0 mm SL, rio Jaguaribe, Lima Campos, Ceará state; (b) Schizodon fasciatus, LISDEBE 6981, 275.0 mm SL, rio Solimões, lake Janauacá, Amazonas state; (c) Schizodon borellii, LISDEBE 6977, 245.0 mm SL, Ilha Taiamã, rio Paraguay, Mato Grosso state; (d) Schizodon intermedius, LISDEBE 6984, 233.0 mm SL, rio Jacaré Guaçu, Tietê river basin, São Paulo state.

opencc-by-4.0Sep 2019View details →
zenodo28/100

Fig. 4 in Redescription of Schizodon dissimilis and appraisal of the dark barred species of the genus (Characiformes: Anostomidae)

Fig. 4. Location of the lots containing the studied species: Schizodon dissimilis (red, orange star marks the typelocality), S. fasciatus (dark blue), S. borellii (yellow) and S. intermedius (white); each symbol may represent more than one sample.

opencc-by-4.0Sep 2019View details →
zenodo28/100

Fig. 1 in Redescription of Schizodon dissimilis and appraisal of the dark barred species of the genus (Characiformes: Anostomidae)

Fig. 1. Scatterplot of the individual scores of combined samples of Schizodon fasciatus (X), S. borellii (white circles); S. dissimilis (diamonds), and S. intermedius (black squares) on the second and third axis of the sheared principal component analysis (PCA).

opencc-by-4.0Sep 2019View details →
zenodo28/100

Dark matter multisensory experience: Voiceover (narrated by Gareth Mitchell)

<p>This is the audio component to the &quot;Multisensory Dark Matter Experience&quot; project. The audio (with no changes)&nbsp;is freely available and can be used (without modifications) at no&nbsp;charge, provided the authors are acknowledged in full. For further details about the experience, see:&nbsp;https://www.youtube.com/watch?v=zKRsjGqz5Ls&nbsp;</p> <p>The audio track is described in the following publication:&nbsp;</p> <p>Trotta, R., Hajas, D., Camargo-Molina, J. E., Cobden, R., Maggioni, E. and Obrist, M. (2020). &lsquo;Communicating cosmology with multisensory metaphorical experiences&rsquo;. JCOM 19 (02), N01.&nbsp;</p> <p><a href="https://doi.org/10.22323/2.19020801">https://doi.org/10.22323/2.19020801</a></p> <p>&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Vacuum Rabi splitting of a dark plasmonic cavity mode revealed by fast electrons_exterimental dataset

<p>This file contains the raw unprocessed experimental data for the results published in&nbsp;Ora Bitton et al.,&nbsp;Vacuum Rabi splitting of a dark plasmonic cavity mode revealed by fast electrons,&nbsp;<em>Nat Commun</em>&nbsp;<strong>11,&nbsp;</strong>487 (2020).&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Ultraviolet and darkness regulation of medicinal metabolites in Mahonia bealei revealed by proteomics and metabolomics

<p>We initially developed targeted methods for PRM to validate the observed differences (using Tier 3 analyses) on a Q-Exactive plus Orbitrap mass spectrometer (Thermo Scientific, San Jose, CA, USA). Fifth-four proteins from differentially abundance proteins were selected for targeted analyses because of their biological activities and concentration levels of interest. Up to three target peptides with at least one unique peptide per protein were included by matching to the spectral library. These are skyline format file for all the PRM analyses and the raw data from MS. And the pdresult files were used for generation of spectral library.</p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Spins

<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo spin model of Benson, Behrens, &amp; Lu (2020; https://arxiv.org/abs/2001.09208). See the README file for details.</p>

opencc-by-4.0Jun 2020View details →
dryad28/100

Data from: Functional traits determine why species belong to the dark diversity in a dry grassland fragmented landscape

<p><a name="_Hlk41300148"></a><a name="_Hlk41299586">A challenge for nature conservation is to know why many species are absent from suitable habitats and whether they might be able to disperse and to establish.</a> Here, we used 272 dry grassland patches within a fragmented landscape to investigate the role of local abiotic conditions and dispersal filtering in determining the likelihood of vascular plants to belong to the dark diversity (i.e. absent portion of the species pool). First, we quantified the species (SD), functional (FD) and phylogenetic (PD) diversity of both observed and dark communities. Second, we determined the roles of abiotic, present-day and historical landscape configuration variables in shaping their patterns. Third, we evaluated the importance of each variable in determining their species compositions. <a name="_Hlk30755847">Environmental filtering was assessed as effects of local abiotic conditions and dispersal filtering as the effects of present-day and historical landscape configuration. </a>Dispersal filtering was also estimated by comparing dispersal traits of observed and dark diversity. Finally, we assessed community completeness to determine how much of the species pool was realized within a local community. We found higher SD in the observed compared to the dark communities, but PD did not differ. Contrary to expectations, dark communities resembled higher FD compared to the observed communities. Species with low dispersal capacity, low competitive abilities and high stress-tolerance were more often absent. Observed and dark diversities were mostly affected by local abiotic variables. In the observed communities, present-day landscape configuration variables affected SD while historical landscape configuration variables explained FD and PD. In the dark communities, we found the opposite pattern. Completeness was affected by present-day and historical patch size. Our results explain why dry grassland species may belong to the dark diversity and highlight the importance of local abiotic and dispersal traits of the species to conserve dry grasslands in changing landscapes.</p>

opencc-zeroJun 2020View details →
zenodo28/100

MCMC Chains and Maximum Likelihood Parameters for a Random Walk Model of Dark Matter Halo Concentrations

<p>MCMC chains and the maximum likelihood model parameter file associated with the random walk dark matter halo concentration model of Johnson, Benson, &amp; Grin (2020; https://arxiv.org/abs/2006.15231). See the README file for details.</p>

opencc-by-4.0Nov 2020View details →

ScienceDex guides

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

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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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