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Fig. 6 in Two new species and a new record of Cortinarius subgenus Telamonia (Agaricales) from India

Fig. 6. Cortinarius pseudotorvus (Arunima Bose, AB23-050, CAL). a–c. Fresh basidiomata. d. Basidia. e. Basidiospores (SEM). Scale bars: d = 10 µm; e = 2 µm.

opencc-by-4.0Nov 2024View details →
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Fig. 2. Cortinarius thindii A.Bose & K in Two new species and a new record of Cortinarius subgenus Telamonia (Agaricales) from India

Fig. 2. Cortinarius thindii A.Bose & K.Das sp. nov. (holotype; A. Bose & K. Das, AB23-025, CAL). a–b. Fresh basidiomata. c. Basidia. d. Basidiospores. Scale bars: c = 10 µm; d = 2 µm.

opencc-by-4.0Nov 2024View details →
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Dataset of the publication: Influence of Fe-clustering on the water oxidation performance of two-dimensional layered double hydroxides

<p>Dataset of the publication: Influence of Fe-clustering on the water oxidation performance of two-dimensional layered double hydroxides</p> <p>DOI: 10.1039/d1dt03737d</p> <p>Seijas-Da Silva, A; Oestreicher, V; Coronado, E; Abell&aacute;n, G</p> <p>Dalton Trans., 2022,51, 4675-4684</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2024View details →
zenodo40/100

Dataset of the publication: Two-dimensional magnetic behaviour in hybrid NiFe-layered double hydroxides by molecular engineering

<p>Dataset of the publication: Two-dimensional magnetic behaviour in hybrid NiFe-layered double hydroxides by molecular engineering</p> <p>DOI: 10.1039/D2DT03804H</p> <p>A. Seijas-Da Silva, J. A. Carrasco, B. J. Vieira, J. C. Bentes Waerenborgh, E. Coronado, G. Abell&aacute;n</p> <p>Dalton Trans., 2023,52, 1219-1228</p>

opencc-by-4.0Nov 2024View details →
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Dataset of the publication: Interplay between optical emission and magnetism in the van der Waals magnetic semiconductor CrSBr in the two-dimensional limit

<p>Dataset of the publication: Interplay between optical emission and magnetism in the van der Waals magnetic semiconductor CrSBr in the two-dimensional limit</p> <p>DOI: 10.1021/acsnano.3c00375</p> <p>F. Marques-Moros, C. Boix-Constant, S. Ma&ntilde;as-Valero, J. Canet-Ferrer, E. Coronado</p> <p>ACS Nano, 17, 14, 13224-13231 (2023)</p>

opencc-by-4.0Dec 2024View details →
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Accompanying data for the paper "Two-scale concurrent simulations for crack propagation using FEM-DEM bridging coupling" : Mode-I

<h2>Contributions</h2> <ul> <li>Manon Voisin--Leprince: Contributed to writing scripts, launching simulations, and analyzing results</li> <li>Joaquin Garcia-Suarez: Contributed to helping analyze results</li> <li>Guillaume Anciaux: Contributed to supervising the project</li> <li>Jean-François Molinari: Contributed to supervising the project</li> </ul> <p>All authors reviewed the results and contributed to the manuscript</p> <h2>Funding sources</h2> <ul> <li>Grant 200021_197152, entitled <code>Wear across scales</code> by the Swiss National Science Foundation. </li> </ul> <h2>FEM-DEM coupling applications</h2> <p>The data_mode_I folder is composed of:</p> <p>1- The DEM folder which contains the scripts to generate the DEM samples used in the simulations (Mode_I and Mode_II)</p> <p>2- The Mode_I folder which is composed of:</p> <ul> <li> <p>mode_I: Contains the scripts and data of the section "Mode I crack propagation" presented in the paper</p> </li> <li> <p>post_processing_mode_I: Contains the files to conduct the post processing relative to the section "Mode I crack propagation"</p> </li> </ul> <p>Additional README.md files are provided in the subfolders</p> <p>The notebook folder contains scripts to plot the results of the section "Mode I crack propagation". </p> <h2>Mode_II complementary dataset</h2> <p>The Mode-II part of the study can be found at https://doi.org/10.5281/zenodo.14264611</p>

opencc-by-4.0Dec 2024View details →
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Accompanying data for the paper "Two-scale concurrent simulations for crack propagation using FEM-DEM bridging coupling" : Mode-II

<h2>Contributions</h2> <ul> <li>Manon Voisin--Leprince: Contributed to writing scripts, launching simulations, and analyzing results</li> <li>Joaquin Garcia-Suarez: Contributed to helping analyze results</li> <li>Guillaume Anciaux: Contributed to supervising the project</li> <li>Jean-François Molinari: Contributed to supervising the project</li> </ul> <p>All authors reviewed the results and contributed to the manuscript</p> <h2>Funding sources</h2> <ul> <li>Grant 200021_197152, entitled <code>Wear across scales</code> by the Swiss National Science Foundation. </li> </ul> <h2>FEM-DEM coupling applications</h2> <p>The data folder contains the Mode_II folder which is composed of:</p> <ul> <li> <p>mode_II: Contains the scripts and data of the section "Surface wear during relative sliding" presented in the paper. Only data for the largest case is not provided.</p> </li> <li> <p>post_processing_mode_II: Contains the files to conduct the post processing relative to the section "Surface wear during relative sliding"</p> </li> </ul> <p>Additional README.md files are provided in the subfolders</p> <p>The notebook folder contains scripts to plot the results of the section "Surface wear during relative sliding". </p>

opencc-by-4.0Dec 2024View details →
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Data and Code: Familial transmission of neural representations for mental arithmetic across two generations

<p>Here we provide anonymized behavioral data, individual beta maps and analyses codes used in "Familial transmission of neural representations for mental arithmetic across two generations".</p> <p>Because of anonymization concerns within the framework of EU privacy regulations (<a href="https://gdpr-info.eu/">GDPR</a>), we cannot provide raw MRI data.&nbsp;<br>Therefore, the fMRI data consists of individual beta maps from the first-level analysis, which correspond to the brain activity associated with increases in problem size for each operation (addition and subtraction). Maps are normalized into the MNI template. See paper for details about the preprocessing and first-level analysis.</p> <p>The dataset consists of mother-child dyads. Mothers are assigned codes of 200 or higher. Children are assigned codes below 200. Each child's code is exactly 200 less than their mother's code.</p> <p>The analyses codes require Python version 3.8.8 and Nilearn version 0.8.1.</p> <p>If you have any questions, please send an email to charlotte.constant@inserm.fr.&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Sep 2024View details →
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Fig. 12. Holotypes. A–C. H in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 12. Holotypes. A–C. H. lozekiana sp. nov. (NHMW 113638). D–E. H. steffeki sp. nov. (NHMW 113640). Scale bar = 500 µm.

opencc-by-4.0Oct 2021View details →
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Fig. 1 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 1. Current distribution of Hauffenia Pollonera, 1898 in relation to the extension of the Pannonian Sea 10 Ma.

opencc-by-4.0Oct 2021View details →
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Fig. 17 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 17. Penes (SEM micrographs). A–B. H. lozekiana sp. nov. (different specimens). C–E. H. steffeki sp. nov. (one specimen). Arrow points at penial stylet, which is withdrawn in A and B. Scale bars: A–C = 50 µm; D = 10 µm; E = 2 µm.

opencc-by-4.0Oct 2021View details →
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Fig. 9 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 9. Phylogenetic time-tree from Bayesian analysis in BEAST based on COI. Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Wilke &amp; Davis 2000; Wilke 2003; Ponder et al. 2008; Falniowski &amp; Szarowska 2015; Barco et al. 2016; Rysiewska et al. 2017); posterior probabilities and highest posterior density intervals at nodes; arrow points at calibrated node; scale bar in substitutions per site; timeline on bottom in Ma before present.

opencc-by-4.0Oct 2021View details →
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Fig. 6 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 6. Phylogenetic tree from Bayesian analysis in MrBayes based on 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Ponder et al. 2008); posterior probabilities at nodes; scale bar in substitutions per site.

opencc-by-4.0Oct 2021View details →
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Fig. 5 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 5. Type locality of H. lozekiana sp. nov. (71) and Dabarska Pećina, a locality of H. steffeki sp. nov. (72) (see Table 1).

opencc-by-4.0Oct 2021View details →
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Fig. 14 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 14. Protoconchs (SEM micrographs). A. H. lozekiana sp. nov., paratype (NHMW 113639). B. H. steffeki sp. nov., paratype (NHMW 113641). Scale bars = 100 µm.

opencc-by-4.0Oct 2021View details →
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Fig. 8 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 8. Phylogenetic tree from Bayesian analysis in MrBayes based on COI, 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1); posterior probabilities at nodes; scale bar in substitutions per site.

opencc-by-4.0Oct 2021View details →
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Fig. 11 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 11. Monitoring of H. kissdalmae Erőss &amp; Petró, 2008 in spring Ľadová Studňa, Driekyňa Valley, Slovenská Ľupča, Slovakia (locality 61 from Table 1) from 2012–2021.

opencc-by-4.0Oct 2021View details →
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Fig. 4 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 4. Selected localities of H. kissdalmae Erőss &amp; Petró, 2008. Image numbers correspond to locality numbers in Table 1.

opencc-by-4.0Oct 2021View details →
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Fig. 7 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 7. Phylogenetic tree from maximum likelihood analysis in W-IQ-TREE based on 16S rRNA and ITS2 (outgroup pruned off). Specimens identified by two-digit locality code in bold, four digit individual DNA code, and orographic unit (see Table 1) or GenBank accession number (from Ponder et al. 2008); bootstrap support values at nodes&gt; 50; not given for extremely short nodes within H. kissdalmae Erőss &amp; Petró, 2008 and H. wienerwaldensis Haase, 1992; scale bar in substitutions per site.

opencc-by-4.0Oct 2021View details →
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Fig. 13 in On the origin and diversification of the stygobiotic freshwater snail genus Hauffenia (Caenogastropoda: Hydrobiidae) with special focus on the northern species and the description of two new species

Fig. 13. Paratypes from type localities (SEM micrographs). A–B. H. lozekiana sp. nov. (NHMW 113639). C–D. H. steffeki sp. nov. (NHMW 113641). Scale bar = 500 µm.

opencc-by-4.0Oct 2021View 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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.