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1,003 results for “darkness”
Erratum: Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector [Phys. Rev. D 102, 082001 (2020)]
<p>Corrections to the results from O<sub>3</sub> operator in <a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.102.082001">Phys. Rev. D 102, 082001</a>. "Constraints on dark matter-nucleon effective couplings in the presence of kinematically distinct halo substructures using the DEAP-3600 detector".</p>
Dark matter and Z' masses preferred by muon g-2 and thermal freeze-out
<p>Companion data for the paper "The Simplest and Most Predictive Model of Muon g−2 and Thermal Dark Matter" [<a href="https://arxiv.org/abs/2107.09067">https://arxiv.org/abs/2107.09067</a>].</p> <p>The data provides constraints on the masses of DM and Z' which solve the muon g-2 anomaly and generate sufficient thermal dark matter. Two such bands are given (on either side of the resonance), each of which has a 'min', 'mid', and 'max' value based on current 1 sigma constraints on the muon g-2 anomaly. All masses are in MeV.</p>
Dark matter flow dataset from cosmological N-body simulation
<p>Dark matter (DM), if exists, is believed to be cold, collisionless, dissipationless, non-baryonic, barely interacting with baryonic matter except through gravity, and sufficiently smooth on large scales with a fluid-like behavior. The flow of dark matter can be best described by a self-gravitating collisionless fluid dynamics (SG-CFD). The statistics of dark matter density, velocity, acceleration, energy, momentum, and their redshift evolution play essential roles for structure formation and evolution. These information can be systematically extracted from cosmological N-body simulations by either i) a structural (halo-based) or ii) a statistical (correlation-based) approach. In this correlation-based statistical dataset, i) all particle pairs with any given separation r in a N-body system are identified; ii) statistical measures are calculated over all particle pairs with the same separation r (pairwise average); iii) the redshift (z) and scale (r) dependence of all statistical measures (correlation/moment/structure/dispersion/spectrum functions for density, velocity and potential etc.) are presented. </p> <p>Applications of cascade and statistical theory for dark matter and bulge-SMBH evolution:</p> <ol> <li>Dark matter particle mass ,size, and properties from energy cascade in dark matter flow: 1) <a href="http://doi.org/10.48550/arXiv.2202.07240">arxiv</a> 2) <a href="https://zenodo.org/record/6640353">zenodo slides</a></li> <li>Origin of MOND acceleration & deep-MOND from acceleration fluctuation & energy cascade: 1) <a href="http://doi.org/10.48550/arXiv.2203.05606">arxiv</a> 2) <a href="https://zenodo.org/record/6640386">zenodo slides</a></li> <li>The baryonic-to-halo mass relation from mass and energy cascade in dark matter flow: 1) <a href="http://doi.org/10.48550/arXiv.2203.06899">arxiv</a> 2) <a href="https://zenodo.org/record/6640355">zenodo slides</a></li> <li>Universal scaling laws and density slope for dark matter haloes: 1) <a href="http://doi.org/10.48550/arXiv.2209.03313">arxiv</a> 2) <a href="https://zenodo.org/record/7059193">zenodo slides</a> 3) <a href="http://doi.org/10.1038/s41598-023-31083-z">paper</a></li> <li>Dark matter halo mass functions and density profiles from mass/energy cascade: 1) <a href="http://doi.org/10.48550/arXiv.2210.01200">arxiv</a> 2) <a href="https://zenodo.org/record/7146473">zenodo slides</a> 3) <a href="https://doi.org/10.1038/s41598-023-42958-6">paper</a></li> <li>Energy cascade for distribution and evolution of supermassive black holes (SMBHs): 2) <a href="http://doi.org/10.5281/zenodo.7490502">zenodo slides</a></li> </ol> <p>Condensed slides for all applications "<a href="http://doi.org/10.5281/zenodo.7508310">Cascade Theory for Turbulence, Dark Matter, and bulge-SMBH evolution </a>"</p> <p>The two relevant datasets and accompanying presentation can be found at: </p> <ol> <li><a href="https://doi.org/10.5281/zenodo.6541230">Dark matter flow dataset Part I: Halo-based statistics from cosmological N-body simulation</a> </li> <li><a href="https://doi.org/10.5281/zenodo.6569898">Dark matter flow dataset Part II: Correlation-based statistics from cosmological N-body simulation</a>.</li> <li><a href="https://doi.org/10.5281/zenodo.6569901">A comparative study of Dark matter flow & hydrodynamic turbulence and its applications</a></li> </ol> <p>The same dataset also available on Github at: <a href="https://github.com/ZhijieXu2022/dark_matter_flow_dataset/">Github: dark_matter_flow_dataset</a> and zenodo at: <a href="http://doi.org/10.5281/zenodo.6586212">Dark matter flow dataset from cosmological N-body simulation</a>.</p> <p>Cascade and statistical theory developed by these datasets:</p> <ol> <li>Inverse mass cascade in dark matter flow and effects on halo mass functions: 1) <a href="http://doi.org/10.48550/arXiv.2109.09985">arxiv</a> 2) <a href="https://zenodo.org/record/6639536">zenodo slides</a> </li> <li>Inverse mass cascade and effects on halo deformation, energy, size, and density profiles: 1) <a href="http://doi.org/10.48550/arXiv.2109.12244">arxiv</a> 2) <a href="https://zenodo.org/record/6640337">zenodo slides</a></li> <li>Inverse energy cascade in dark matter flow and effects of halo shape: 1) <a href="http://doi.org/10.48550/arXiv.2110.13885">arxiv</a> 2) <a href="https://zenodo.org/record/6640331">zenodo slides</a></li> <li>The mean flow, velocity dispersion, energy transfer and evolution of dark matter halos: 1) <a href="http://doi.org/10.48550/arXiv.2201.12665">arxiv</a> 2) <a href="https://zenodo.org/record/6640380">zenodo slides</a></li> <li>Two-body collapse model and generalized stable clustering hypothesis for pairwise velocity 1) <a href="http://doi.org/10.48550/arXiv.2110.05784">arxiv</a> 2) <a href="https://zenodo.org/record/6640306">zenodo slides</a></li> <li>Energy, momentum, spin parameter in dark matter flow and integral constants of motion: 1) <a href="http://doi.org/10.48550/arXiv.2202.04054">arxiv</a> 2) <a href="https://zenodo.org/record/6640322">zenodo slides</a></li> <li>Maximum entropy distributions of dark matter in ΛCDM cosmology: 1) <a href="http://doi.org/10.48550/arXiv.2110.03126">arxiv</a> 2) <a href="https://zenodo.org/record/6640373">zenodo slides</a> 3) <a href="http://doi.org/10.1051/0004-6361/202346429">paper</a></li> <li>Halo mass functions from maximum entropy distributions in dark matter flow: 1) <a href="http://doi.org/10.48550/arXiv.2110.09676">arxiv</a> 2) <a href="https://zenodo.org/record/6640325">zenodo slides</a></li> <li>On the statistical theory of self-gravitating collisionless dark matter flow: 1) <a href="http://doi.org/10.48550/arXiv.2202.00910">arxiv</a> 2) <a href="https://zenodo.org/record/6640705">zenodo slides</a> 3) <a href="http://doi.org/10.1063/5.0151129">paper</a></li> <li>High order kinematic and dynamic relations for velocity correlations in dark matter flow: 1) <a href="http://doi.org/10.48550/arXiv.2202.02991">arxiv</a> 2) <a href="https://zenodo.org/record/6640684">zenodo slides</a></li> <li>Evolution of density and velocity distributions and two-thirds law for pairwise velocity: 1) <a href="http://doi.org/10.48550/arXiv.2202.06515">arxiv</a> 2) <a href="https://zenodo.org/record/6640676">zenodo slides</a></li> </ol>
Dark Matter Jets of Rotating Black Holes
<p>This dataset is associated with</p> <p>"Dark Matter Jets of Rotating Black Holes",<br> Ottavia Balducci, Stefan Hofmann, and Maximilian Koegler<br> (2022)</p> <p>It includes the python 3 files "boost-main.py", "kerrsystem.py" and "KerrSystemPlot.py"<br> which produce the raw data files "r_out_d_table.csv" and "mass_r_out_table.csv"<br> of figures 2 and 3.</p> <p>Additionally, it includes the raw data files "velocity_table.csv" which allows for determining the<br> boundaries of the velocity integrals and "boost_d_a_small.csv" with "boost_d_a_large.csv"<br> which demonstrate that the dark matter jet becomes more collimated for larger black hole spin.</p>
Dataset: Alternative electron donors for the nitrogenase-like dark-operative protochlorophyllide oxidoreductase (DPOR)
<p>Dataset for publication: <a href="https://doi.org/10.1002/celc.202200774">https://doi.org/10.1002/celc.202200774</a> </p> <p>Includes:</p> <p>- The values used to create all of the figures in the manuscript and in the supporting information</p> <p>- The raw data and the corrected data for all activity assays (including repeats)</p> <p>- The raw data (absorbance spectra) obtained from the real-time experiments (DT, MV and TQ-spectroelectrochemistry). The .zip files contain a file named "index", which explains the naming/numbering of the .txt.files (absorbance spectra), and how the values are processed.</p> <p>- The sequences and sequencing data for plasmids pHAL1 and pHANB1</p>
Text-fig. 6. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. from the London Clay. a–f: Holotype, V. 23002, bilocular fruit. a–d: Surface renderings from micro-CT data. a: Apical view. b: Basal view. c: Lateral view with dorsal surface of locule facing forward. d: lateral view with interlocular septum facing forward. e, f: Digital sections from micro-CT data. e: transverse equatorial showing U-shaped locules and distinct dark endocarp (arrows). f: Median longitudinal intercepting both locules. g: lateral view of bilocular fruit with interlocular septum facing forward. V. 23013(3). h: Apical view of bilocular fruit with two exposed locule casts, V. 23013(1). i–l: Fruits in physical transverse section showing U-shaped locules and distinct locule lining. i: Bilocular fruit shown in (g). j: Bilocular fruit, V. 23007. k: Fruit with one locule larger than the other, V. 23006. l: Tetralocular fruit, V. 22993. Scale bar 5 mm in (a–l), bar in (a) applies also to (b–d), bar in (e) applies also to (f), bar in (j) applies to (i–l). in Mastixioid Fruits (Cornales) From The Early Eocene London Clay Flora: Morphology, Anatomy And Nomenclatural Revision
Text-fig. 6. Exbeckettia mastixioides (E.REID et M.CHANDLER) comb. nov. from the London Clay. a–f: Holotype, V. 23002, bilocular fruit. a–d: Surface renderings from micro-CT data. a: Apical view. b: Basal view. c: Lateral view with dorsal surface of locule facing forward. d: lateral view with interlocular septum facing forward. e, f: Digital sections from micro-CT data. e: transverse equatorial showing U-shaped locules and distinct dark endocarp (arrows). f: Median longitudinal intercepting both locules. g: lateral view of bilocular fruit with interlocular septum facing forward. V. 23013(3). h: Apical view of bilocular fruit with two exposed locule casts, V. 23013(1). i–l: Fruits in physical transverse section showing U-shaped locules and distinct locule lining. i: Bilocular fruit shown in (g). j: Bilocular fruit, V. 23007. k: Fruit with one locule larger than the other, V. 23006. l: Tetralocular fruit, V. 22993. Scale bar 5 mm in (a–l), bar in (a) applies also to (b–d), bar in (e) applies also to (f), bar in (j) applies to (i–l).
Text-fig. 5. Plant fragments from Govone with evidence of preserved cuticle. a: Decussate pair of leaves of "Thuja" saviana (C.T.GAUDIN) C.T.GAUDIN with a window (arrow) opened in the brownish cuticle, showing the yellowish mesophyll cells and some possible resin canals (dark), MGPT-PU141094. b: Angiosperm leaf fragment (from sample MGPT-PU141017) under the stereomicroscope, showing the blackish compressed mesophyll on the right and patches of cleaned, yellowish cuticle at the top (arrow). Scale bar 1 mm. in Remains Of A Subtropical Humid Forest In A Messinian Evaporitebearing Succession At Govone, Northwestern Italy - Preliminary Results
Text-fig. 5. Plant fragments from Govone with evidence of preserved cuticle. a: Decussate pair of leaves of "Thuja" saviana (C.T.GAUDIN) C.T.GAUDIN with a window (arrow) opened in the brownish cuticle, showing the yellowish mesophyll cells and some possible resin canals (dark), MGPT-PU141094. b: Angiosperm leaf fragment (from sample MGPT-PU141017) under the stereomicroscope, showing the blackish compressed mesophyll on the right and patches of cleaned, yellowish cuticle at the top (arrow). Scale bar 1 mm.
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 2. Kaolin clay pit at hill Hasenberg in Wiesa, Saxony, Germany; view of southern high wall, showing deeply weathered late Early Miocene lignite seam by dark brown color in center (photographed 2015). Fossil-bearing strata were reported (e.g., Mai 1964) as below lignite seam, but this horizon does actually not crop out (also evidenced by new drillings, communicated by Dr. Jochen Rascher, GEOMONTAN GmbH company, Freiberg/Sa., Germany).
Dataset for 'Different in the dark: The effect of habitat characteristics on community composition and beta diversity in bromeliad microfauna'
<p>The file contains counting data for bromeliad-inhabiting microfauna (including, heterotrophic nanoflagellates, ciliates, amoeba and rotifers) from samples taken on Ilha do Cardoso, Brazil.</p> <p>Also included are additional Information on abiotic and biotic factors measured (e.g. pH, dissolved oxygen concentration etc.).</p>
Data from: Human avoidance, selection for darkness and prey activity explain wolf diel activity in a highly cultivated landscape
<p>Wildlife that share habitats with humans with limited options for spatial avoidance must either tolerate frequent human encounters or concentrate their activity on those periods with the least risk of encountering people. Based on 5,259 camera trap images of adult wolves from eight territories, we analyzed the extent to which diel activity patterns in a highly cultivated landscape with extensive public access (Denmark) could be explained by diel variation in darkness, human activity, and prey (deer) activity. A resource selection function that contrasted every camera observation (use) with 24 alternative hourly observations from the same day (availability), revealed that diel activity correlated with all three factors simultaneously with human activity having the strongest effect (negative), followed by darkness (positive) and deer activity (positive). A model incorporating these three effects had lower parsimony and classified use and availability observations just as well as a 'circadian' model that smoothed the use-availability ratio as a function of time of the day. Most of the selection for darkness was explained by variation in human activity, supporting the notion that nocturnality (proportion of observations registered at night vs. day at the equinox) is a proxy for temporal human avoidance. Contrary to our expectations, wolves were no more nocturnal in territories with unrestricted public access than in territories where public access was restricted to roads, possibly because wolves in all territories had few possibilities to walk more than a few hundred meters without crossing roads. Overall, Danish wolf packs were 6.5 (95% CI: 4.6-9.6) times more active at night than at daylight, which makes them amongst the most nocturnally active wolves reported so far. These results confirm the prediction that wolves in habitats with limited options for spatial human avoidance, invest more in temporal avoidance.</p>
Рис. 5. Зависимость межΔу цветом и размером цист Heterodera glycines. ГраΔации цвета цист: 1 — моΛочный, 2 — жеΛтый и светΛо-коричневый, 3 — коричневый, 4 — каштановый, 5 — темно-коричневый. Размер цист — в баΛΛах Fig. 5. Relationship between the color and size of Heterodera glycines cysts. Color gradations of cysts: 1 — milky, 2 — yellow and light brown, 3 — brown, 4 — chestnut, 5 — dark brown. The size of cysts — in classes in Reproductive potential of Soybean Cyst Nematode Heterodera glycines - quarantine pest of soybean - in Primorsky Region conditions
Рис. 5. Зависимость межΔу цветом и размером цист Heterodera glycines. ГраΔации цвета цист: 1 — моΛочный, 2 — жеΛтый и светΛо-коричневый, 3 — коричневый, 4 — каштановый, 5 — темно-коричневый. Размер цист — в баΛΛах Fig. 5. Relationship between the color and size of Heterodera glycines cysts. Color gradations of cysts: 1 — milky, 2 — yellow and light brown, 3 — brown, 4 — chestnut, 5 — dark brown. The size of cysts — in classes
РИС. 9. ВнеШний вид раковин глохидиев (Sinanodonta woodiana, р. Одра, ПольШа), очиЩенных с помоЩью Щелочи (5% KOH). A. Темные пЯтна на поверхности, свидетельствуюЩие о недостаточной промывке после Щелочи. B. ХороШо очиЩеннаЯ и правильно промытаЯ раковина. МасШтаб 50 мкм. Микроскоп Zeiss EVO 40, напыление Золотом. FIG. 9. Glochidia shells (Sinanodonta woodiana, Odra River, Poland) cleaned in alkali (5% KOH). A. Dark spots on the shell surface, indicating insufficient rinsing after alkali. B. Properly cleaned and rinsed shell. Scale bars 50 μm. Zeiss EVO 40 microscope, sputter coating with gold. in Методика подготовки раковин глохидиев (Bivalvia, Unionidae) длЯ работы на сканируюЩем Электронном микроскопе
РИС. 9. ВнеШний вид раковин глохидиев (Sinanodonta woodiana, р. Одра, ПольШа), очиЩенных с помоЩью Щелочи (5% KOH). A. Темные пЯтна на поверхности, свидетельствуюЩие о недостаточной промывке после Щелочи. B. ХороШо очиЩеннаЯ и правильно промытаЯ раковина. МасШтаб 50 мкм. Микроскоп Zeiss EVO 40, напыление Золотом. FIG. 9. Glochidia shells (Sinanodonta woodiana, Odra River, Poland) cleaned in alkali (5% KOH). A. Dark spots on the shell surface, indicating insufficient rinsing after alkali. B. Properly cleaned and rinsed shell. Scale bars 50 μm. Zeiss EVO 40 microscope, sputter coating with gold.
Supplementary figures for "Dark matter distribution in Milky Way-analog galaxies"
<p>Among the attached files, you will find:</p> <p>- All figures from the article in high-quality PDF format, ordered by name as follows: 'Figure1.pdf' corresponds to Figure 1 of the article, and so on;</p> <p>- Moment 0 (intensity), 1 (velocity), and 2 (dispersion) maps of the atomic hydrogen gas (HI) distribution for each galaxy in our sample. All moment maps were generated from our three-dimensional modeling with 3D-Barolo;</p> <p>- For each galaxy, we show the extended version of Figure 1 from the paper, which includes the intensity, velocity, and dispersion maps for the model and residual of each galaxy. For instance, 'NGC3521_kinematics.pdf' corresponds to the kinematic maps of NGC 3521;</p> <p>- Stellar distribution maps at 3.6 and 4.5 μm provided by the S4G survey. For instance, 'NGC3521.phot.1.fits' corresponds to the 3.6 μm image, while 'NGC3521.phot.2.fits' corresponds to the 4.5 μm image.</p>
Gamma rays from dark matter spikes in EAGLE simulations - IMBH mock catalogue
<p>DArk Matter SPIkes (DAMSPI) is a fully Python-based software for the analysis of dark matter spikes around Intermediate Mass Black Holes (IMBHs) in the Milky Way. It allows to extract an IMBH catalogue and their corresponding dark matter spike parameters from the EAGLE simulations in order to probe a potential gamma-ray signal from dark matter self-annihilation. </p> <p>The dataset contains the IMBH catalogue including, among others, the coordinates, mass, formation redshift and spike parameters for each individual IMBH. Each column of the catalogue is described in detail in J. Aschersleben et al. (2024). We also provide separate files for which we calculated the gamma-ray fluxes for different dark matter masses and annihilation cross sections. Lastly, we provide a catalogue of our selection of Milky Way like galaxies within EAGLE. The columns of these files are also described in J. Aschersleben et al. (2024).</p> <p>The source code to extract this dataset is publicy available here:</p> <div> <div> <pre><a href="https://doi.org/10.5281/zenodo.11488472">https://doi.org/10.5281/zenodo.11488472</a></pre> </div> </div> <h2>Description of the data files</h2> <p>The imbh_catalogue/imbh/ directory contains the following files:</p> <ol> <li>catalogue_nfw.h5</li> <li>catalogue_cored_gamma_0p3.h5</li> <li>catalogue_cored_gamma_0p9.h5</li> <li>catalogue_cored_gamma_free.h5</li> </ol> <p>They contain the IMBH catalogues, including the coordinates and dark matter spike parameters, calculated assuming the 1.) NFW profile, 2.) cored profile with a fixed core index of 0.0, 3.) cored profile with a fixed core index of 0.4 and 4.) cored profile with the core index as a free fitting parameter.</p> <p>The imbh_catalogue/flux/<channel>/<energy_threshold>/ directory contains the gamma-ray fluxes of the IMBHs for a given annihilation channel, energy threshold, and dark matter mass. E.g. the imbh_catalogue/flux/b_channel/e_th_0.1GeV/m_dm_10.0GeV.h5 file contains the IMBH fluxes assuming the b-channel, an energy threshold of 0.1 GeV and a dark matter mass of 10 GeV. The IMBH fluxes are calculated for a variety of velocity weighted annihilation cross sections. </p> <p>The imbh_catalogue/galaxy/ directory contains the mw_galaxies_catalogue_nfw.h5 file which contains our selection of Milky Way-like galaxies within EAGLE.</p> <p>The HDF files can be opened in Python with:</p> <pre><code>import pandas as pd file_path = "<path_to_file>.h5" df = pd.read_hdf(file_path, key="table") # Printing the first few rows of the DataFrame print(df.head())</code><code> </code></pre>
Figure 17 in The dark side of birds: melanism-facts and fiction
Figure 17. Chukar Alectoris chukar (NHMUK 1939.12.9.3715), same mutation as in Fig. 16. (Harry Taylor, © Natural History Museum, London)
Figure 22 in The dark side of birds: melanism-facts and fiction
Figure 22. Forms of melanism (C and D) in Asian Blue Quail Synoicus chinensis that affect female plumage much more than male plumage (Pieter van den Hooven)
Figure 24 in The dark side of birds: melanism-facts and fiction
Figure 24 (facing page). Pl. 15 in A. B. Meyer (1887) Unser Auer-, Rackel- und Birkwild und seine Abarten showing what Meyer believed to be Black Grouse Lyrurus tetrix × ptarmigan Lagopus sp. hybrids; however, these birds are aberrant-coloured female Black Grouse (cf. Figs. 25–26) (Hein van Grouw, © Natural History Museum, London)
Figure 18 in The dark side of birds: melanism-facts and fiction
Figure 18. Hazel Grouse Tetrastes bonasia (NHMUK 1987.24.122) with a form of melanism that has altered the typical pattern and markings, resulting in a paler appearance (Harry Taylor, © Natural History Museum, London)
Figure 16 in The dark side of birds: melanism-facts and fiction
Figure 16. Specimen of Red-legged Partridge Alectoris rufa with a form of melanism that has changed the usual pattern and markings (left, NHMUK 1923.1.29.1) and a normal-coloured individual (right, NHMUK 1907.12.20.7); due to a mutation, the black head and throat markings are altered and the solid-coloured back, shoulders and wing feathers (based mainly on eumelanin) now exhibit distinctive patterns based on both melanin types, and some parts resemble the flanks plumage (Harry Taylor, © Natural History Museum, London)
Figure 5 in The dark side of birds: melanism-facts and fiction
Figure 5. 'Yellow' is a dominant mutation of the agouti gene in Common Quail Coturnix coturnix (NHMUK 1996.41.441, England) resulting in a coloration based on mainly phaeomelanin (Harry Taylor, © Natural History Museum, London) Figure 6.. Hooded Crow Corvus corone cornix (left, NHMUK 1965.M.19466), Carrion Crow C. c. corone (right, NHMUK 2013.5.13) and their hybrid offspring, with in centre a first-generation hybrid (NHMUK 1965.M.19463), left of it a backcross Hooded Crow (NHMUK 1879.3.7.1) and right a backcross Carrion Crow (NHMUK 1925.2.12.1); both the Hooded Crow and all of the hybrids display many patterned feathers with black centres and grey fringes (Harry Taylor, © Natural History Museum, London)
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.