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zenodo36/100

Data from: The Effects of Multi-Level Identity Dynamics in New Venture Creation

<p>Anonymized interview data from SNF project<strong> The Effects of Multi-Level Identity Dynamics in New Venture Creation </strong>(in the context of collective entrepreneurial ventures) that has been used for publications (as stated in Data Management Plan). Additional data available upon request.</p>

opencc-by-4.0Aug 2022View details →
dryad36/100

Data from: New perspectives on soil animal trophic ecology through the lens of C and N stable isotope ratios of oribatid mites

<p>Knowledge of the trophic ecology of soil animals is important for understanding their high alpha diversity as well as their functional role in soil food webs and systems. In the last 20 years, the analysis of natural variations in stable isotope ratios (<sup>15</sup>N/<sup>14</sup>N, <sup>13</sup>C/<sup>12</sup>C) has revolutionized our view on soil animal trophic ecology. Here, we review the state of the art of the trophic ecology of a highly abundant and diverse soil animal taxon, oribatid mites (Oribatida), investigated by stable isotope analyses. The review is based on 25 papers reporting stable isotope data of 292 oribatid mite taxa from 30 different sites. Four main findings emerged. (1) Oribatid mites cluster into six trophic groups, i.e. moss feeders, lichen feeders, primary decomposers, fungal feeders/secondary decomposers, predators/scavengers and marine algal feeders, plus one additional group, which incorporates CaCO<sub>3</sub> in their cuticle for defence but still belongs to the fungal feeders/secondary decomposers group. (2) Of the 292 species studied 43.7% were classified as fungal feeders/secondary decomposers, 27.0% as primary decomposers and 15.7% as predators/scavengers, only few species include CaCO<sub>3</sub> into their skeleton (6.1%), feed on lichens (4.9%), mosses (2.1%) or marine algae (0.7%). (3) In about one-third of the species studied the trophic niche was constant or varied little between sites or habitats, but in two-thirds of the species, their trophic niche varied between habitats, with some species even shifting trophic levels, indicating trophic plasticity. (4) When aggregated at higher taxonomic level oribatid mite species clustered in only three instead of six trophic groups. This indicates that species within the same high-level taxon often belong to different trophic groups, for example, because feeding habits evolved convergently. Therefore, to accurately reflect the trophic ecology of oribatid mites their stable isotope signatures need to be analysed at the species level. However, stable isotope analyses also have limitations, e.g. feeding on bacteria and fungi cannot be separated, and the same is true for feeding on ectomycorrhizal and arbuscular mycorrhizal fungi. Other methods such as fatty acid, amino acid and molecular gut content analyses as well as microbiome analyses may complement stable isotope studies and resolve oribatid mite trophic niche differentiation at a higher resolution. This will contribute to a better understanding of the local coexistence of large numbers of species in soil. Finally, we provide perspectives on how to integrate microarthropods into soil food webs using stable isotope and other methods allowing deeper insight into their<br>trophic structure.</p>

opencc-zeroSep 2022View details →
dryad36/100

Data from high throughput SNP-chip as cost effective new monitoring tool for assessing invasion dynamics in the comb jelly Mnemiopsis leidyi

<p class="MsoNormal"><span>High throughput low-density SNP arrays provide a cost-effective solution for population genetic studies and monitoring of genetic diversity as well as population structure commonly implemented in real time stock assessment of fish species. However, the application of high throughput SNP arrays for monitoring of invasive species has so far not been implemented. We developed a species-specific SNP array for the invasive comb jelly <em>Mnemiopsis leidyi</em> based on whole genome resequencing data. Initially, </span><span>a total of</span><span> </span><span>1,</span><span>395</span><span> </span><span>high quality </span><span>SNPs</span><span> were identified</span><span> </span><span>u</span><span>sing stri</span><span>ngent</span><span> filtering criteria</span><span>. From those, 192 assays were designed and validated, resulting in the final panel of 116 SNPs. Markers were diagnostic between the northern and southern <em>M. leidyi</em> lineages and highly polymorphic to distinguish populations. Despite using a reduced representation of the genome, our SNP panel yielded comparable results to using a whole genome resequencing approach (832,323 SNPs), recovering similar values of genetic differentiation between samples and detecting the same clustering groups when performing Structure analyses. The resource presented here provides a cost-effective, high throughput solution for population genetic studies, allowing to routinely genotype large number of individuals. Monitoring of genetic diversity and effective population size estimations in this highly invasive species will allow for the early detection of new introductions from distant source regions or hybridization events. Thereby, this SNP chip represents an important management tool in order to understand invasion dynamics  and </span><span>opens the door for implementing such methods for a wider range of alien invasive species.</span></p> <div></div>

opencc-zeroOct 2022View details →
zenodo36/100

Data and Files for Zito, Rigon and Dunson (2022): "Inferring taxonomic affiliation from DNA barcoding aiding in discovery of new taxa"

<p>This folder contains the data and the R code to reproduce the figures and&nbsp;tables in the paper Zito, Rigon and Dunson (2022) - &quot;Inferring Taxonomic placement from DNA barcoding aiding in discovery of new taxa&quot;, accepted as open access publication in&nbsp;Methods in Ecology and Evolution.</p> <p>The file &quot;main_FinBOL.R&quot; reproduces the tables in the main document and in the Supporting information available online for the analysis of the FinBOL data,&nbsp;while &quot;main_Simulation_Section4_SI.R&quot; reproduces the simulation in Section 4 of the Supporting information.&nbsp;</p> <p>All data are saved in the folder &quot;data&quot;. For replicability purposes, we added version 2.13 of the RDP classifier to the repository, in the folder &quot;RDP/java&quot;. This has been downloaded from&nbsp;https://sourceforge.net/projects/rdp-classifier/.&nbsp;</p> <p>For questions, contact the author at alessandro.zito@duke.edu<br> &nbsp;</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

New Findings on Existing Resilient Modulus Constitutive Models through Performance Comparison on LTPP Data

<p>This dataset is the result of the study entitled, &quot;New Findings on Existing Resilient Modulus Constitutive Models through Performance Comparison on LTPP Data&quot;.</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 1 in New faunistical and taxonomic data on oribatid mites (Acari: Oribatida) of Ethiopia, with description of two new species of the superfamily Oripodoidea

Figure 1 Ethiopian collecting place ofPilobates wachtelin. sp. andZetorchella robertbeckin. sp.

opencc-by-4.0Jul 2021View details →
zenodo36/100

Figs 12–17. Synanthedon spp. 12, 13 – S in New data on clearwing moths (Lepidoptera: Sesiidae) of Sakhalin Island

Figs 12–17. Synanthedon spp. 12, 13 – S. bicingulata (Staudinger, 1887), male. Sesiidae

opencc-by-4.0Mar 2022View details →
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Figs 6–9 in New data on clearwing moths (Lepidoptera: Sesiidae) of Sakhalin Island

Figs 6–9. Males of Sesia yezoensis (Hampson, 1919). 6, 7 – Sesiidae picture Nos 0497-

opencc-by-4.0Mar 2022View details →
zenodo36/100

Fig. 1 in New data on the mayflies (Ephemeroptera) of North-Western Yakutia

Fig. 1. Location of sampling sites in the Anabar River basin.

opencc-by-4.0Jan 2022View details →
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Fig. 1 in New data on Orthoptera distribution in the southern part of the Russian Far East

Fig. 1. Elimaea fallax Bey-Bienko, male from Bychikha (photo of V.V. Dubatolov).

opencc-by-4.0Mar 2022View details →
zenodo36/100

Figs 3–5 in New data on the subfamily Attageninae (Coleoptera: Dermestidae) from Cretaceous Burmese amber

Figs 3–5. Cretoattagenus coziki sp. n., male. 3 – habitus, lateral aspect; 4 – legs; 5 –

opencc-by-4.0Dec 2020View details →
zenodo36/100

Figs 1–2 in New data on the subfamily Attageninae (Coleoptera: Dermestidae) from Cretaceous Burmese amber

Figs 1–2. Cretodermestes palpalis Deng, Ślipiński, Ren et Pang, 2017, male. 1 – habitus,

opencc-by-4.0Dec 2020View details →
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Figs 1–5 in New data on the genus Vartiania Yakovlev, 2004 (Lepidoptera: Cossidae, Cossinae)

Figs 1–5. Adult males of Vartiania spp. 1–3 – V. muscula (Rothschild, 1912): 1 – ho-

opencc-by-4.0Apr 2021View details →
zenodo36/100

Fig. 1 in New data on digger wasps of the family Crabronidae (Hymenoptera: Apoidea) from Omsk Province, Russia

Fig. 1. The number of species of Crabronidae recorded from regions of Russia (according

opencc-by-4.0Mar 2021View details →
zenodo36/100

Figs 19–22 in New data on the hover-flies of the genus Eumerus (Diptera: Syrphidae) from Russia

Figs 19–22. Eumerus ssp.: 19 – female head of Eumerus strigatusm, dorsal view; 20–21

opencc-by-4.0Jul 2018View details →
zenodo36/100

Figs 1–8 in NEW DATA ON BEES OF THE GENUS COLLETES LATREILLE (HYMENOPTERA: COLLETIDAE) FROM RUSSIA

Figs 1–8. Colletes cariniger Pérez, female (1–4), male (5–8): 1, 5 – specimen, lateral

opencc-by-4.0Apr 2020View details →
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Fig. 10 in New data on taxonomy and distribution of Kaluginia lebetiformis Makarchenko, 1987 (Diptera: Chironomidae, Diamesinae) from East Asia

Fig. 10. Bayesian COI mtDNA (658 bp) phylogeny of the tribe Boreoheptagyiini from 7

opencc-by-4.0Jan 2020View details →
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Figs 1–6 in New data on taxonomy and distribution of Kaluginia lebetiformis Makarchenko, 1987 (Diptera: Chironomidae, Diamesinae) from East Asia

Figs 1–6. Adult males of Kaluginia lebetiformis lebetiformis Makarchenko (1–3) and K.

opencc-by-4.0Jan 2020View details →
zenodo36/100

Figs 1–8 in New data on Lepidoptera of Kuril Islands

Figs 1–8. Imago of Lepidoptera from Kunashir Island. 1 ‒ Caligula jonasii (Butler, 1877),

opencc-by-4.0Feb 2020View details →
zenodo36/100

Figs 9–15 in New data on Lepidoptera of Kuril Islands

Figs 9–15. Imago of Lepidoptera from Kunashir Island. 9 ‒ Ctenoplusia albostriata

opencc-by-4.0Feb 2020View details →

ScienceDex guides

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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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