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zenodo32/100

Figure 2 in Cryptic but direct costs of an epidemic caused by Batrachochytrium dendrobatidis in the endangered Sardinian newt Euproctus platycephalus (Amphibia, Caudata)

Figure 2. Estimated difference between the values of the smoothed curves for infected and uninfected individuals obtained by GAMs fitted to investigate the age-dependent variation in SVL, in Euproctus platycephalus. Male estimates are shown on the left, females on the right. The shaded area corresponds to the 95% confidence interval of the difference between mean predicted values. When the shaded area excludes zero, the predicted values for the two populations are considered significantly different from each other.

opennotspecifiedFeb 2023View details →
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Figure 3 in Cryptic but direct costs of an epidemic caused by Batrachochytrium dendrobatidis in the endangered Sardinian newt Euproctus platycephalus (Amphibia, Caudata)

Figure 3. Smooth functional relationships (left) and estimated difference between the values of the curves (right) for infected and uninfected populations obtained by GAMs fitted to investigate the age-dependent variation in the proportion of individuals of Euproctus platycephalus. On the left, shaded areas represent 95% confidence interval, and data points have been jittered to improve visualization. On the right, the 95% confidence interval of the difference between mean predicted values: when the shaded area excludes zero, the predicted values for the two populations are considered significantly different from each other.

opennotspecifiedFeb 2023View details →
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Figure 1 in Cryptic but direct costs of an epidemic caused by Batrachochytrium dendrobatidis in the endangered Sardinian newt Euproctus platycephalus (Amphibia, Caudata)

Figure 1. Smooth functional relationships estimated by GAMs fitted to investigate the age-dependent variation in Svl, in Euproctus platycephalus. Male estimates are shown on the left, females on the right. Shaded areas represent 95% confidence interval. Data points have been jittered to improve visualization.

opennotspecifiedFeb 2023View details →
zenodo32/100

Data for "Direct, Indirect, and Self-Trapped Excitons in Cs2AgBiBr6"

<p>Structures of the unit cell and polymorphous supercell of Cs2AgBiBr6 and the self-trapped exciton in the material.</p>

opencc-by-4.0Aug 2024View details →
zenodo32/100

Fig. 3 in Direct Growth Measurements of Two Deep-sea Scalpellid Barnacles, Scalpellum stearnsii and Graviscalpellum pedunculatum

Fig. 3. in situ shell increment after 350-d deployment of Scalpellum stearnsii (narrow strip below the light calceinstained band). Pictures under fluorescent and normal light were overlaid.

opennotspecifiedJun 2018View details →
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Fig. 2 in Direct Growth Measurements of Two Deep-sea Scalpellid Barnacles, Scalpellum stearnsii and Graviscalpellum pedunculatum

Fig. 2. Changes in capitulum lengths of Scalpellum stearnsii (solid lines) and Graviscalpellum pedunculatum (broken lines between 35 - 55 mm) over 8-month rearing at Nara (a) and 2-year rearing at Okinawa (b). Different colors indicate different individuals.

opennotspecifiedJun 2018View details →
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Fig. 1 in Direct Growth Measurements of Two Deep-sea Scalpellid Barnacles, Scalpellum stearnsii and Graviscalpellum pedunculatum

Fig. 1. Scalpellid barnacles Scalpellum stearnsii (a) and Graviscalpellum pedunculatum (b). The S. stearnsii individual showed maximum absolute increments at Okinawa, with small shell plates. Capitulum length measured is shown as a black line.

opennotspecifiedJun 2018View details →
zenodo32/100

Fluorescence-activated droplet sequencing (FAD-seq) directly provides sequences of screening hits in antibody discovery

<p>Contains source datas (e.g. uncropped gels, FASTQ nanopore sequences, numeric data) and the python scripts for Fluorescence-activated droplet sequencing (FAD-seq) publication</p>

opencc-by-4.0Aug 2024View details →
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Tables of direct, indirect and networks estimates and Forests plots of pairwise comparisons for all secondary outcomes

<p>Supplementary File #12 for Cochrane review entitled: "Non-invasive respiratory support in preterm infants as primary mode: a network meta-analysis"</p>

opencc-by-4.0Aug 2024View details →
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vanBeest iScience 2024: The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions.

<p>Data for the paper 'The direct and indirect pathways of the basal ganglia antagonistically influence cortical activity and perceptual decisions.' by van Beest et al. 2024, iScience: https://doi.org/10.1016/j.isci.2024.110753</p> <p>Code to analyze data is available via https://github.com/EnnyvanBeest/vanBeest_iScience2024.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
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Supplemental Video for "Direct Two-Dimensional Goniometric Steering of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies"

<p>Supplemental video for the paper submitted to RSI titled "Direct Two-Dimensional Goniometric Aiming of Vacuum Electrospray Ion Beams for Angular Time-of-Flight Studies".&nbsp;</p> <p>A dual-axis goniometer is used to directly aim a vacuum electrospray ionization source (vESI). This device enables the ion beam to be aimed onto a target to dramatically increase the SNR of downstream diagnostics while also enable angular time-of-flight studies of the vESI plumes.</p>

opencc-by-4.0Aug 2024View details →
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Structure Databases: Predicted Influence of Organic Structure Directing Agents on Al Distributions in CHA Zeolites

<p>Structures and energies associated with the paper: Predicted Influence of Organic Structure Directing Agents on Al Distributions in CHA Zeolites</p>

opencc-by-4.0Aug 2024View details →
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ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep1 (run3)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 1 (run 3)</p>

opencc-by-4.0Sep 2024View details →
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ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep2 (run1)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 2 (run 1).</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) Mettl3 Knockout

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ).&nbsp;</p>

opencc-by-4.0Sep 2024View details →
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ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep2 (run3-1)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 2 (run 3-1; the files are splited two two parts because of limitations of file size).</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep2 (run2)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 2 (run 2)</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep1 (run2)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 1 (run 2).&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep1 (run1 and 4)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 1 (run 1 and 4).&nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo32/100

ONT direct RNA sequencing Fast5 files from mouse embryonic stem cell (C57BL/6J x CAST/EiJ) - Rep2 (run3-2)

<p>We present a novel approach that leverages Oxford Nanopore direct RNA sequencing technology to detect allele-biased patterns of N6-methyladenosine (m6A) modifications in native mRNAs. Our approach utilized human and mouse cells with known genetic variants to ascertain allelic origin of each mRNA molecule. We employed a supervised machine learning model to detect read-level modification ratios, providing a comprehensive understanding of allele-specific m6A modification (ASM) patterns. To analyze the effects of allele specific m6A modification in mouse, we used hybrid mosue embryonic stem cells (C57BL/6J x CAST/EiJ). This page contains replicate 2 (run 3-2; the files are splited two two parts because of limitations of file size).</p>

opencc-by-4.0Sep 2024View 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

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