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741 results for “Decay”

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zenodo28/100

Figure 3 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096

Figure 3 Distoseptispora euseptata (HKAS 125822) a colony on woody substrates b–e conidiophores f, g conidiogenous cells h–m conidia n germinated conidium o culture on PDA. Scale bars: 20 μm (b–e, h–n); 10 μm (f, g).

opencc-by-4.0Feb 2024View details →
zenodo28/100

Figure 8 from: Shen H-W, Bao D-F, Boonmee S, Lu Y-Z, Su X-J, Li Y-X, Luo Z-L (2024) Diversity of Distoseptispora (Distoseptisporaceae) taxa on submerged decaying wood from the Red River in Yunnan, China. MycoKeys 102: 1-28. https://doi.org/10.3897/mycokeys.102.116096

Figure 8 Distoseptispora xinpingensis (HKAS 125818, holotype) a, b colonies on woody substrates c, d conidiophores e, f conidiogenous cells g–k conidia (Arrow in i–k indicate proliferating conidia) l germinating conidium m culture on PDA. Scale bars: 40 μm (c, d); 10 μm (e, f); 30 μm (g–l).

opencc-by-4.0Feb 2024View details →
zenodo28/100

ttH(bb) dataset in the semi-leptonic decay channel

<p>Higgs boson dataset in the \(t\bar{t}H(b\bar{b}) \) semil-leptonic channel, used for studies of deep learning and quantum machine learning classification studies [1, 2].</p> <p>The simulation of the \(t\bar{t}H(b\bar{b}) \) semi-leptonic channel produces a data set that consists of the following features:</p> <ol> <li>Jet features: \((p_\mathrm{T}, \eta, \phi, E, \mathrm{b-tag}, p_\mathrm{x}, p_\mathrm{y}, p_\mathrm{z})\)</li> <li>Leptonic features: \((p_\mathrm{T}, \eta, \phi, E, p_\mathrm{x}, p_\mathrm{y}, p_\mathrm{z})\)</li> <li>&nbsp;Missing energy features: \((\phi, p_\mathrm{T}, p_\mathrm{x}, p_\mathrm{y})\)</li> </ol> <p>Before processing the data with (quantum) machine learning algorithms, the features are filtered using the following physically motivated criteria to constrain the problem in a suitable phase space. These criteria take into account the geometric acceptance of the detector and the goal of background suppression. &nbsp;</p> <p>The following preprocessing steps are applied in the related studies using this dataset:</p> <ul> <li>For electrons: \(p_\mathrm{T} &gt; 30 \) GeV and \(|\eta|&lt;2.1\)</li> <li>For muons: \(p_\mathrm{T} &gt; 26\) GeV and \(|\eta|&lt;2.1\)</li> <li>For jets: \(p_\mathrm{T} &gt; 30\) GeV and \(|\eta|&lt;2.4\)</li> <li>Isolation of the leptons with respect to jets is higher than the benchmark value of 0.1.</li> <li>Require at least 4 jets per event, at least 2 b-tagged jets, and exactly one lepton.&nbsp;</li> <li>The first seven most energetic jets are kept per collision event, allowing for one extra jet beyond the leading order expectation of 6 jets, to account for final state radiation.</li> </ul> <p>These criteria constrain the problem in a suitable phase space, taking into account the geometric acceptance of the CMS detector and the goal of background suppression. For more details, please see the corresponding papers.</p> <p>[1] V. Belis et al., <em>Higgs analysis with quantum classifiers,&nbsp;</em><a href="https://www.epj-conferences.org/articles/epjconf/abs/2021/05/epjconf_chep2021_03070/epjconf_chep2021_03070.html">EPJ Web Conf. 251, 03070 (2021)</a><em>,&nbsp;</em>arXiv: <a href="https://arxiv.org/abs/2104.07692">2104.07692</a>.</p> <p>[2] V. Belis et al., <em>Guided Quantum Compression for Higgs identification,&nbsp;</em>arXiv: <a href="https://arxiv.org/abs/2402.09524">2402.09524</a>.</p>

openOct 2022View details →
zenodo28/100

The GC-content at the 5'ends of human protein-coding genes is undergoing mutational decay

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo28/100

TABLE 2 in Diversity of wood-decaying fungi in Zixishan area (Hengduan Mountains), Yunnan Province, China

<p><b>TABLE 2.</b> Number of wood-inhabiting poroid and corticioid species in the most orders, families, and genera in the study area and proportion accounting for total species number.</p><table><tbody><tr><th><b>Order</b></th><th><b>Family</b></th><th><b>Spp.</b></th><th><b>%</b></th><th><b>Family</b></th><th><b>Genera</b></th><th><b>Spp</b></th><th><b>%</b></th><th><b>Genera</b></th><th><b>Species</b></th><th><b>%</b></th></tr></tbody><tbody><tr><th>Agaricales</th><td>1</td><td>1</td><td>1.35</td><td>Radulomycetaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Radulomyces</i></td><td>1</td><td>1.35</td></tr><tr><th>Auriculariales</th><td>1</td><td>1</td><td>1.35</td><td>Auriculariaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Auricularia</i></td><td>1</td><td>1.35</td></tr><tr><th>Gloeophyllales</th><td>1</td><td>1</td><td>1.35</td><td>Gloeophyllaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Gloeophyllum</i></td><td>1</td><td>1.35</td></tr><tr><th>Hymenochaetales</th><td>3</td><td>21</td><td>28.38</td><td>Hymenochaetaceae</td><td>5</td><td>9</td><td>12.16</td><td><i>Coltricia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Fuscoporia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Hymenochaete</i></td><td>4</td><td>5.41</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Hydnoporia</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Tubulicrinis</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Rickenellaceae</td><td>2</td><td>6</td><td>8.11</td><td><i>Peniophorella</i></td><td>5</td><td>6.76</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Schizocorticium</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Schizoporaceae</td><td>3</td><td>6</td><td>8.11</td><td><i>Hyphodontia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Lyomyces</i></td><td>4</td><td>5.41</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Xylodon</i></td><td>1</td><td>1.35</td></tr><tr><th>Polyporales</th><td>11</td><td>38</td><td>51.35</td><td>Cerrenaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Cerrena</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Cystostereaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Crustomyces</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Dacryobolaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Postia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Fomitopsidaceae</td><td>2</td><td>2</td><td>2.70</td><td><i>Antrodia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Fomitopsis</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Hyphodermataceae</td><td>1</td><td>5</td><td>6.76</td><td><i>Hyphoderma</i></td><td>5</td><td>6.76</td></tr><tr><th></th><td></td><td></td><td></td><td>Irpicaceae</td><td>5</td><td>6</td><td>8.11</td><td><i>Byssomerulius</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Ceriporia</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Gloeoporus</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Incrustoporiaceae</td><td></td><td></td><td></td><td><i>Irpex</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Leptoporus</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Meruliaceae</td><td>2</td><td>3</td><td>4.05</td><td><i>Skeletocutis</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Tyromyces</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>6</td><td>6</td><td>8.11</td><td><i>Ceriporiopsis</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Crustodontia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Phlebia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Hydnophanerochaete</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Phanerochaetaceae</td><td>5</td><td>9</td><td>12.16</td><td><i>Bjerkandera</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Crepatura</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Hyphodermella</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Phanerochaete</i></td><td>4</td><td>5.41</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Phlebiopsis</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td>Polyporaceae</td><td>4</td><td>4</td><td>5.41</td><td><i>Cyanosporus</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Diplomitoporus</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Megasporia</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Microporus</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Steccherinaceae</td><td>2</td><td>2</td><td>2.70</td><td><i>Butyrea</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Steccherinum</i></td><td>1</td><td>1.35</td></tr><tr><th>Russulales</th><td>6</td><td>10</td><td>13.51</td><td>Bondarzewiaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Heterobasidion</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Gloeocystidiellaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Gloeocystidiellum</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Hericiaceae</td><td>1</td><td>1</td><td>1.35</td><td><i>Dentipellicula</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Lachnocladiaceae</td><td>2</td><td>3</td><td>4.05</td><td><i>Peniophora</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td>Peniophoraceae</td><td></td><td></td><td></td><td><i>Scytinostroma</i></td><td>1</td><td>1.35</td></tr><tr><th></th><td></td><td></td><td></td><td>Stereaceae</td><td>2</td><td>4</td><td>5.41</td><td><i>Aleurodiscus</i></td><td>2</td><td>2.70</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td><i>Stereum</i></td><td>2</td><td>2.70</td></tr><tr><th>Tremellales</th><td>1</td><td>2</td><td>2.70</td><td>Tremellaceae</td><td>1</td><td>2</td><td>2.70</td><td><i>Tremella</i></td><td>2</td><td>2.70</td></tr><tr><th>7 orders</th><td></td><td></td><td>100</td><td>24 families</td><td></td><td></td><td>100</td><td>49 genera</td><td>74 species</td><td>100</td></tr></tbody></table>

opennotspecifiedSep 2023View details →
zenodo28/100

Figs. 9–10. Antennomeres 9–11. 9 in Two Evaniosomini Species (Coleoptera: Tenebrionidae) Associated with Decaying Carcasses in Argentina, with Remarks on the Tribal Assignment of Achanius Erichson

Figs. 9–10. Antennomeres 9–11. 9) Thinobatis rufipes rufipes; 10) Vaniosus profana.

opennotspecifiedDec 2015View details →
zenodo28/100

All data of the manuscript "A self-sustained charge neutrality intracloud lightning parameterization containing channel decay and reactivation" submitted to Geophysical Research Letters

<p>The data support the manuscript entitled &quot;A self-sustained charge neutrality intracloud lightning parameterization containing channel decay and reactivation&quot;. Microsoft Notepad can open the *.txt files, they contain the channel information of two intracloud flashes (IC1 and IC2) and the channel elctrical parameters at the first fork of positive or negative leader channels. A normal video player software can open Movie_S1.avi, and it shows the entire development process of IC1 discharge.</p> <p>The data can be used freely for scientific purposes with the appropriate citation.</p>

opencc-by-4.0Aug 2022View details →
zenodo28/100

Fig. 5 in Identification of three wood decay fungi in Yeoninsan Provincial Park, Korea

Fig. 5. The basidiocarp (A) and microscopic features (B-D) of Postia hirsuta KUC20161012-37. B, Basidiospores; C, Basidia; D, Fusoid cystidioles; E, hyphae (scale bars: A = 0.5 cm, B-D = 10 μm).

opencc-by-4.0Dec 2018View details →
zenodo28/100

Fig. 1 in Identification of three wood decay fungi in Yeoninsan Provincial Park, Korea

Fig. 1. The phylogenetic tree of Ceriporia alachuana (KUC20160825-21), Postia hirsuta (KUC20161012-37) and related species based on internal transcribed spacer region sequences. The dataset was created from 24 taxa and 740 characters. The specimen examined in this study is boldfaced. The posterior probability values ≥70 are shown above branch. The scale bar indicates nucleotide substitutions per position.

opencc-by-4.0Dec 2018View details →
zenodo28/100

Fig. 3 in Identification of three wood decay fungi in Yeoninsan Provincial Park, Korea

Fig. 3. The basidiocarp (A) and microscopic features (B-D) of Ceriporia alachuana KUC20160825-21. B, Basidiospores; C, Basidia; D, hyphae (scale bars: A = 1 cm, B-D = 10 μm).

opencc-by-4.0Dec 2018View details →
zenodo28/100

Data for "On the Reliability of Time Domain Induced Polarization for Contaminated Site: Partial Integral vs Full Decay"

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
dryad28/100

Data from: Accumulation rates and sources of external nitrogen in decaying wood in a Norway spruce dominated forest

Microbial respiration in dead wood contributes substantially to the long-lived forest carbon (C) pool and has a significant role in the forest nitrogen (N) cycle. Wood N content has been found to increase during the decay process; however, temporal dynamics and the sources of this external N remain unclear. To examine N dynamics at various stages of decomposition, we combined high variety of analytical methods on Norway spruce logs, including wood δ15N, N%, 14C-dating, fungal composition and N2 fixation rate. For N2 fixation rate, we also determined its dependency on ambient temperature and decay class, when estimating annual N2 fixation rates for our study site. N2 fixation was observed to have a major role in increasing wood N content during decay. For the most decayed wood, it accounted for 60% of the total N accumulation. Compared to other reports, where the annual temperature was similar to our site, the calculated annual fixation rate of 85 g N ha−1 year−1 is a low estimate. However, previous studies have not taken appropriately into account the dependency of N2 fixation rate on ambient temperature and decay class. Our δ15N model describing the sources of external N, statistical analysis and the fungal DNA composition of decayed wood suggest that other sources of external N accumulating in wood were soil-foraging wood-decay fungi and mycorrhizal fungi. Our study improves knowledge of the temporal dynamics of N accumulation in wood with advancing wood decay, the potential sources of external N and their relative significance. All of these factors are important for nitrogen as well as carbon models dealing with ecosystem responses to climate change.

opencc-zeroDec 2015View details →
dryad28/100

Data from: Response repetition biases in human perceptual decisions are explained by activity decay in competitive attractor models

Animals and humans have a tendency to repeat recent choices, a phenomenon known as choice hysteresis. The mechanism for this choice bias remains unclear. Using an established, biophysically informed model of a competitive attractor network for decision making, we found that decaying tail activity from the previous trial caused choice hysteresis, especially during difficult trials, and accurately predicted human perceptual choices. In the model, choice variability could be directionally altered through amplification or dampening of post-trial activity decay through simulated depolarizing or hyperpolarizing network stimulation. An analogous intervention using transcranial direct current stimulation (tDCS) over left dorsolateral prefrontal cortex (dlPFC) yielded a close match between model predictions and experimental results: net soma depolarizing currents increased choice hysteresis, while hyperpolarizing currents suppressed it. Residual activity in competitive attractor networks within dlPFC may thus give rise to biases in perceptual choices, which can be directionally controlled through non-invasive brain stimulation.

opencc-zeroDec 2015View details →
zenodo28/100

One-dimensional non-LTE time-dependent radiative transfer of an He-detonation model and the connection to faint and fast-decaying supernovae

<p>Model spectra from <a href="https://ui.adsabs.harvard.edu/abs/2015MNRAS.447.1370D">Dessart &amp; Hillier 2015, MNRAS, 447, 1370</a></p>

opencc-by-4.0May 2021View details →
zenodo28/100

Figure 23 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figure 23 - Geographical distribution of sixteen species of Histeridae in Argentina. Provinces: 1 Jujuy: Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (s. str.) lacordairei, Euspilotus (s. str.) lepidus 2 Salta: Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (Hesperosaprinus) strobeli 3 Chaco: Euspilotus (s. str.) lacordairei 4 Catamarca: Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (Hesperosaprinus) pavidus, Euspilotus (s. str.) lacordairei, Euspilotus (s. str.) richteri 5 La Rioja: Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (s. str.) lacordairei, Euspilotus (s. str.) lepidus, Euspilotus (s. str.) richteri 6 San Juan: Euspilotus (Hesperosaprinus) modestus, Euspilotus (Hesperosaprinus) parenthesis, Euspilotus (Hesperosaprinus) pavidus, Euspilotus (s. str.) lacordairei, Euspilotus. (s. str.) ornatus, Xerosaprinus (Xerosaprinus) diptychus 7 Córdoba: Euspilotus (Hesperosaprinus) pavidus 8 Entre Ríos: Euspilotus (Hesperosaprinus) pavidus 9 San Luis: Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (Hesperosaprinus) pavidus, Euspilotus (s. str.) lacordairei, Euspilotus (s. str.) ornatus 10 Mendoza: Carcinops (s. str.) troglodytes, Euspilotus (Hesperosaprinus) azureus, Euspilotus (Hesperosaprinus) caesopygus, Euspilotus (Hesperosaprinus) connectens, Euspilotus (Hesperosaprinus) modestus, Euspilotus (Hesperosaprinus) parenthesis, Euspilotus (Hesperosaprinus) pavidus, Euspilotus (Hesperosaprinus) strobeli, Euspilotus (s. str.) lacordairei, Euspilotus(s. str.) lepidus, Euspilotus (s. str.) ornatus, Euspilotus (s. str.) patagonicus, Euspilotus (s. str.) richteri, Hololepta (Leionota) reichii, Phelister rufinotus, Xerosaprinus diptychus 11 Buenos Aires: Euspilotus (s. str.) patagonicus 12 Neuquén: Euspilotus (s. str.) patagonicus 13 Chubut: Carcinops (s. str.) troglodytes, Euspilotus (Hesperosaprinus) modestus, Euspilotus (s. str.) lacordairei, Euspilotus (s. str.) ornatus, Euspilotus (s. str.) patagonicus, Euspilotus(s. str.) richteri.

opencc-by-4.0Jan 2013View details →
zenodo28/100

Figures 19-22 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figures 19-22 - Habitus in dorsal view. 19 Euspilotus (Hesperosaprinus) modestus 20 Euspilotus (Hesperosaprinus) parenthesis 21 Euspilotus (Hesperosaprinus) connectens 22 Euspilotus (Hesperosaprinus) azureus. Scale bars: 2 mm.

opencc-by-4.0Jan 2013View details →
zenodo28/100

Figures 11-12 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figures 11-12 - Protibia in dorsal view. 11 Euspilotus (s. str.) patagonicus 12 Xerosaprinus (Xerosaprinus) diptychus.

opencc-by-4.0Jan 2013View details →
zenodo28/100

Figure 1 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figure 1 - Saprininae, schematic. Pronotum and elytra, oblique lateral view (taken from Lackner 2010).

opencc-by-4.0Jan 2013View details →
zenodo28/100

Figures 5-10 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figures 5-10 - Habitus in dorsal view. 5Carcinops (Carcinops) troglodytes 6 Hololepta (Leionota) reichii. 7 Phelister rufinotus 8 Euspilotus (s. str.) lacordairei 9 Euspilotus (s. str.) patagonicus 10 Xerosaprinus (Xerosaprinus) diptychus. Scale bars: 2 mm. Scale bars: 2 mm.

opencc-by-4.0Jan 2013View details →
zenodo28/100

Figures 3-4 from: Aballay F, Arriagada G, Flores G, Centeno N (2013) An illustrated key to and diagnoses of the species of Histeridae (Coleoptera) associated with decaying carcasses in Argentina. ZooKeys 261: 61-84. https://doi.org/10.3897/zookeys.261.4226

Figures 3-4 - Prosternum in ventral view. 3 Carcinops (Carcinops) troglodytes 4 Euspilotus (Hesperosaprinus) modestus.

opencc-by-4.0Jan 2013View 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