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zenodo32/100

Figure 9 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 9. Percentage of Mecicobothrium thorelli individuals in each category on the surveyed dates. YJ: young juveniles; OJ: old juveniles; F: females; M: males.

opennotspecifiedMar 2022View details →
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Figure 6 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 6. (a) Proportion of juvenile and adult individuals found in small (<35 cm) and large refuges (> 35 cm). (b) Selectivity of Mecicobothrium thorelli for different sizes of refuges. Values above 1, equal to 1, and below 1 indicate positive selectivity, no selectivity, and negative selectivity, respectively.

opennotspecifiedMar 2022View details →
zenodo32/100

Figure 5 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 5. Individuals' mean temperature, substrate and refuges where they were found on the surveyed dates.

opennotspecifiedMar 2022View details →
zenodo32/100

Figure 4 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 4. Environmental temperature (°C) and relative humidity (RH%) registered at the four levels in the study site.

opennotspecifiedMar 2022View details →
zenodo32/100

Figure 7 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 7. Total number of individuals of the different categories. YJ: young juveniles; OJ: old juveniles; F: females; M: males.

opennotspecifiedMar 2022View details →
zenodo32/100

Figure 3 in A first comprehensive ecological approach on the highly endemic mygalomorph spider Mecicobothrium thorelli (Araneae: Mecicobothriidae): understanding life history traits to address future conservation issues

Figure 3. (a) Individual of Mecicobothrium thorelli (yellow arrow) in a refuge found under a rock. (b) Photographic record of an individual of Mecicobthruim thorelli on the acrylic device with calibrated paper.

opennotspecifiedMar 2022View details →
zenodo32/100

Example Lminor dataset for Seq2Fun issue #3 (Github)

<p>This is the example dataset for the Seq2Fun issue #3 posted on github <a href="https://github.com/xia-lab/Seq2Fun/issues/3">here</a>.</p> <p>The compressed archive contains the following files:</p> <ul> <li>Directory (<em>raw_reads</em>) which contains subsampled (250k reads) mRNA-Seq fastq files (single-read 50bp) from full <em>Lemna minor</em> extracts. (For the files a respective multiQC html report from our RNASeq mapping pipeline is provided.)</li> <li>Sample table for batch processing (<em>lminor_sampleTable.tab</em>).</li> <li>Bash script (<em>seq2fun_analysis.sh</em>)<em> </em>to perform Seq2Fun analysis (runs smoothly without an error but is unable to map any reads)</li> <li>Output directory (<em>seq2fun</em>) with the files created with the <em>seq2fun_analysis.sh</em> script.</li> </ul> <p>I hope the provided files will help to solve the issue.</p>

opencc-by-4.0May 2022View details →
zenodo32/100

FIGURE 7 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 7. Epitype of Euphorbia plagiantha Drake. Réserves Naturelles (coll. Rakotoson) 10062RN (P05543011). Credit: Muséum national d'histoire naturelle, Paris.

opennotspecifiedMay 2022View details →
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FIGURE 8 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 8. Lectotype of Euphorbia fiha Decary, Decary s.n. (P00224809). Credit: Muséum national d'histoire naturelle, Paris.

opennotspecifiedMay 2022View details →
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FIGURE 6 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 6. Holotype of Euphorbia plagiantha Drake, Grandidier s.n. (P00078077). Credit: Muséum national d'histoire naturelle, Paris.

opennotspecifiedMay 2022View details →
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FIGURE 5 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 5. Lectotype of Euphorbia salota Leandri, Humbert 14190 (P00078097). Credit: Muséum national d'histoire naturelle, Paris.

opennotspecifiedMay 2022View details →
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FIGURE 2. Euphorbia plagiantha. A in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 2. Euphorbia plagiantha. A. trunk with peeling bark; B. adult plant habit. Credits: P.E.Berry.

opennotspecifiedMay 2022View details →
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FIGURE 4. Euphorbia salota. A in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 4. Euphorbia salota. A. young fruit; B. detail of the cyathium with leaf-like cyathophylls. Credit: T.Haevermans.

opennotspecifiedMay 2022View details →
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FIGURE 1. Euphorbia plagiantha. A in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 1. Euphorbia plagiantha. A. branches with capsules; B. detail of the bark. Credits: T.Haevermans.

opennotspecifiedMay 2022View details →
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FIGURE 9 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 9. Distribution map of Euphorbia plagiantha (red) and Euphorbia salota (green), both endemic to Madagascar.

opennotspecifiedMay 2022View details →
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FIGURE 3 in Typification issues in Euphorbia section Plagianthae (Euphorbiaceae)

FIGURE 3. View of the habitat of Euphorbia plagiantha near Fort-Dauphin, in South-West Madagascar. Credit: P.E.Berry.

opennotspecifiedMay 2022View details →
zenodo32/100

Semantic Breaking Issue Detector

<p>Semantic Breaking Issue Detector</p>

opencc-by-4.0Jul 2022View details →
zenodo32/100

Supporting Developers in Addressing Human-centric Issues in Mobile Apps

<p>A replication package including a&nbsp;manually analysed dataset of a random sample of 1,200 app reviews and 1,200 issue comments from 12 diverse projects that exist on both Google App Store and GitHub, the results of our machine learning and deep learning&nbsp;approaches, our survey questions and&nbsp;raw responses from app developers to the survey.</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

An Empirical Study of Package Management Issues via Stack Overflow

<p>The&nbsp;package manager (PM) is crucial to most technology stacks, acting as a broker to ensure that a verified dependency package is correctly installed, configured, or removed from an application. Diversity in technology stacks has led to dozens of PMs with various features. While our recent study indicates that package management features of PM are related to end-user experiences, it is unclear what those issues are and what information is required to resolve them.&nbsp; In this paper, we have investigated PM issues faced by end-users through an empirical study of content on Stack Overflow (SO). We carried out a qualitative analysis of 1,131 questions and their accepted answer posts for three popular PMs (i.e., Maven, npm, and NuGet ) to identify issue types, underlying causes, and their resolutions. Our results confirmed that end-users struggle with PM tool usage (approximately 64-72%). We observed that most issues are raised by end-users due to a lack of instructions and errors messages from PM tools. In terms of issue resolution, we observed that external link sharing is the most common practice to resolve PM issues. Additionally, we found that links pointing to useful resources (i.e., official documentation websites, tutorials, etc.) are the most frequently shared, indicating the potential for tool support and the ability to provide relevant information.</p>

opencc-by-4.0Aug 2022View details →
zenodo32/100

Dataset: Architecture-based Attack Propagation and Variation Analysis for Identifying Confidentiality Issues in Industry 4.0

<p>Dataset for the publication <em>Architecture-based Attack Propagation and Variation Analysis for Identifying Confidentiality Issues in Industry 4.0</em></p> <p>More Information can be found in the zipped Readme</p>

opencc-by-4.0Oct 2022View 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