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FIG. 32 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 32. — Leguminosae: A, Recordoxylon speciosum (Benoist) Gazel ex Barneby (D. Sabatier & C. Geniez 6283); B, Senegalia polyphylla (DC.) Britton & Killip (D. Sabatier et al. 6009); C, Spirotropis longifolia (DC.) Baill.; D, Stryphnodendron guianense (Aubl.) Benth.; E, Zygia sabatieri Barneby & J.W.Grimes (D. Sabatier & M.-F. Prévost 4356); F, Tachigali paniculata Aubl. (J.-F. Molino & D. Sabatier 2246). A-D, © D. Sabatier/IRD; E, © M.-F. Prévost/IRD; F, © J.-F. Molino/IRD.
FIG. 8 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 8. — Annonaceae: A, Guatteria intermedia Scharf (J.-F. Molino & D. Sabatier 2464); B, Guatteria ouregou (Aubl.) Dunal (J.-F. Molino & D. Sabatier 2736); C, Trigynaea caudata (R.E.Fr.) R.E.Fr. (J.-F. Molino & D. Sabatier 2158); D, Unonopsis perrottetii (A.DC.) R.E.Fr. (J.-F. Molino & D. Sabatier 2713). A-C, © J.-F. Molino/IRD; D, © D. Sabatier/IRD.
FIG. 34 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 34. — Lythraceae: A, Lafoensia vandelliana DC. ex Cham. & Schltdl. (D. Sabatier & J.-F. Molino 5104). Malpighiaceae: B, Bunchosia argentea (Jacq.) DC. (D. Sabatier & J.-F. Molino 5738); C, Byrsonima stipulacea A.Juss. (D. Sabatier 4862); D, Byrsonima krukoffii W.R.Anderson (D. Sabatier 3526); E, Byrsonima laevigata (Poir.) DC. (D. Sabatier 5575). © D. Sabatier/IRD.
FIG. 10 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 10. — Aquifoliaceae: A, Ilex sp. B (D. Sabatier et al. 4715). Araliaceae: B, Oreopanax capitatus (Jacq.) Decne. & Planch. (D. Sabatier & J.-F. Molino 5723). Arecaceae: C, Astrocaryum rodriguesii Trail (D. Sabatier & M.-F. Prévost 4921); D, Manicaria saccifera Gaertn. © D. Sabatier/IRD.
FIG. 13 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 13. — Burseraceae: A, Protium tenuifolium (Engl.) Engl. (J.-F. Molino & D. Sabatier 2248); B, Trattinnickia burserifolia Mart. (M.-F. Prévost 4566). Calophyllaceae: C, Calophyllum brasiliense Cambess. (D. Sabatier & J.-F. Molino 5002); D, Mahurea palustris Aubl. (D. Sabatier & M.-F. Prévost 3021). A, © J.-F. Molino/ IRD; B, © M.-F. Prévost/IRD; C, D, © D. Sabatier/IRD.
FIG. 17 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 17. — Chrysobalanaceae: A, Hirtella paniculata Sw. (M.-F. Prévost 3856); B, Hymenopus amapaensis (Prance) Sothers & Prance (M.-F. Prévost & D. Sabatier 3002); C, Hymenopus latistipulus (Prance) Sothers & Prance (M.-F. Prévost & D. Sabatier 2992); D, Licania ovalifolia Kleinhoonte (D. Sabatier & J.-F. Molino 4835). A-C, © M.-F. Prévost/IRD; D, © D. Sabatier/IRD.
FIG. 28 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 28. — Lecythidaceae: A, Couratari calycina Sandwith; B, Couratari stellata A.C.Sm. (D. Sabatier & J.-F. Molino 5340); C, Couroupita guianensis Aubl.; D, Eschweilera grandiflora (Aubl.) Sandwith (M.-F. Prévost & D. Sabatier 4826). © D. Sabatier/IRD.
FIG. 16 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 16. — Chrysobalanaceae: A, B, Acioa guianensis Aubl.; C, Couepia joaquinae Prance (D. Sabatier & J.-F. Molino 5341); D, Gaulettia elata (Ducke) Sothers & Prance (D. Sabatier & M.-F. Prévost 4932); E, Hirtella davisii Sandwith (D. Sabatier & J.-F. Molino 5708). A, B, © M.-F. Prévost/IRD; C-E, © D. Sabatier/IRD.
FIG. 26 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 26. — Lauraceae: A, Aiouea guianensis Aubl. (J.-F. Molino et al. 3371); B, Aniba megaphylla Mez (J.-F. Molino & D. Sabatier 2834); C, Aniba williamsii O.C.Schmidt (D. Sabatier & E. Fonty 5662); D-F, Nectandra matogrossensis Coe-Teix. (J.-F. Molino et al. 3406). A, B, D-F, © J.-F. Molino/IRD; C, © D. Sabatier/IRD.
FIG. 25 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 25. — Hypericaceae: A, Vismia latifolia (Aubl.) Choisy. Ixonanthaceae: B, Cyrillopsis paraensis Kuhlm. (J.-F. Molino 3429). Lacistemataceae:C, Lacistema polystachyum Schnizl. (J.-F. Molino & D. Sabatier 2367). Lamiaceae:D, Vitex guianensis Moldenke (D. Sabatier 2332). A, D, © D. Sabatier/IRD; B, C, © J.-F. Molino/IRD.
FIG. 24 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 24. — Goupiaceae: A, Goupia glabra Aubl. Hernandiaceae: B, Hernandia guianensis Aubl. (M.-F. Prévost 3500). Humiriaceae: C, Sacoglottis cydonioides Cuatrec. (D. Sabatier & J.-L. Smock 5782); D, Vantanea maculicarpa Sabatier & J.Engel (D. Sabatier 5574). © D. Sabatier/IRD.
FIG. 29 in An annotated checklist of the tree species of French Guiana, including vernacular nomenclature
FIG. 29. — Lecythidaceae: A, Eschweilera alata A.C.Sm. (M.-F. Prévost & D. Sabatier 4615); B, Eschweilera decolorans Sandwith (M.-F. Prévost 4214); C, Eschweilera pedicellata (Rich.) S.A.Mori (M.-F. Prévost 4257); D, Lecythis persistens Sagot subsp. aurantiaca S.A.Mori (D. Sabatier et al. 4404). A-C, © M.-F. Prévost/ IRD; D, © J.-F. Molino/IRD.
A brain-wide, annotated dataset of WFA-positive perineuronal nets and parvalbumin neurons in the adult mouse brain
<p><strong>Microscopy dataset for perineuronal nets and parvalbumin-positive interneurons in the adult mouse brain</strong></p> <p>This dataset contains the data used in the paper titled:</p> <p><em>A Comprehensive Atlas of Perineuronal Net Distribution and Colocalization with Parvalbumin in the Adult Mouse Brain</em></p> <p><strong>Content</strong></p> <p>The dataset contains microscopy images of coronal brain slices of 7 adult mice and several kinds of biological annotations.</p> <p>For each mouse, the annotations contain information about:</p> <ul> <li>Several files related to the alignment of each brain slice to the Allen Brain Institute CCFv3 atlas (for a more detailed description see <a href="https://github.com/LeonardoLupori/brainAlignment">here</a>)</li> <li>Location of individual PNNs and PV cells in each slice</li> </ul> <p><strong>Folder Structure</strong></p> <p>There are separate folders for each mouse. Each folder is named with the ID of that mouse.</p> <p>Each mouse folder contains:</p> <ol> <li>a <em>MOUSEID-info.xml</em> file - Contains general information for the mouse and images</li> <li>a <em>MOUSEID-quicknii.xml</em> file - Contains information for the alignment to the Allen Brain Atlas CCFv3</li> <li>a <em>MOUSEID-visualign.json</em> file - Contains information for the alignment to the Allen Brain Atlas CCFv3</li> <li>a <em>counts </em>folder - Contains annotations for PNNs and PV cell locations for each slice</li> <li>a <em>dispField </em>folder - Contains displacement fields for non-rigid alignment to the Allen Brain Atlas CCFv3</li> <li>a <em>hiRes </em>folder - Contains original, full-resolution, experimental images</li> <li>a <em>masks </em>folder - Contains binary masks for restricting the analysis</li> <li>a <em>thumbnails </em>folder - Contains low-resolution</li> </ol> <p><strong>Files Description</strong></p> <ul> <li><em>MOUSEID-info.xml</em> <ul> <li>XML file containing information about this mouse and details on each image</li> </ul> </li> <li><em>MOUSEID-quicknii.xml</em> <ul> <li>XML file used for global alignment of all the images to the CCFv3 using the software <a href="https://www.nitrc.org/projects/quicknii">QuickNII</a></li> </ul> </li> <li><em>MOUSEID-visualign.json</em> <ul> <li>JSON file used for the interactive local non-rigid alignment of brain slices to the CCFv3 using the software <a href="https://www.nitrc.org/projects/visualign">VisuAlign</a></li> </ul> </li> <li><em>counts </em>folder <ul> <li>Folder containing two .csv files for each high-resolution image. Each .csv file contains the (x,y) location of all PNNs (channel 1) and PV cells (channel 2) detected in that image</li> </ul> </li> <li><em>dispField </em>folder <ul> <li>This folder contains displacement fields in the X and Y direction for each image. These files are meant to be loaded in MATLAB and fed to the function <a href="https://it.mathworks.com/help/images/ref/imwarp.html">imwarp</a>. This function can be used to apply a non-rigid transformation to the reference volume slices in order for it to closely match experimental images.</li> </ul> </li> <li><em>hiRes </em>folder <ul> <li>Folder containing high-resolution experimental images split by channels</li> </ul> </li> <li><em>masks </em>folder <ul> <li>Folder containing binary masks. These files are used to restrict the analysis to portions of the image containing biological tissue and to exclude areas where the tissue was damaged or presented artifacts</li> </ul> </li> <li><em>thumbnails </em>folder <ul> <li>Folder containing a low-resolution RGB version of the experimental images </li> </ul> </li> </ul> <p> </p>
Micractinium rhizosphaerae NFX-FRZ genome annotation, fasta file, amino acid
<p>Micractinium rhizosphaerae NFX-FRZ annotation. FASTA file, amino acid.</p>
COVID-19 Non-Pharmaceutical Interventions: Data Annotation for Rapidly Changing Local Policy Information
<p><strong>Main Dataset Attributes (npi_data/*.xlsx)</strong></p> <ul> <li>FIPS: FIPS of the county.</li> <li>Location name: Name of the county.</li> <li>NPI measure: Type of NPI measure.</li> <li>Start Date: Date the NPI was first started.</li> <li>End Date: Date the NPI was first lifted.</li> <li>Start Link: Source link of the start date.</li> <li>End Link: Source link of the end date.</li> <li>Start Notes: Contains tags that apply to both dates, and the start date individually. Tag description can be found in Table 3. This also includes notes on nuances not included in the tags.</li> <li>End Notes. Contains tags that only apply to the end date go here. Tag description can be found in Table 3. This also includes notes on nuances not included in the tags.</li> <li>Validated (Correctness): Binary field indicating if the record was validated for correctness</li> </ul>
Gender annotations for Multimodal Opinion-level Sentiment Intensity dataset (MOSI)
<p>Annotations of perceived gender (female/male) for all files of the Multimodal Opinion-level Sentiment Intensity dataset (MOSI) [ arXiv:1606.06259]. The annotations were done by a single German and English speaking male annotator.</p>
Metagenome-Assembled Genome DRAM Annotations (EMERGE 97% dereplicated MAGs)
<p>This is the combined DRAM annotation outputs for the 1,864 97% dereplicated metagenome-assembled genomes from Stordalen Mire, Sweden. </p> <ul> <li>1864_97percentmags_annotations_combined.tsv.gz</li> <li>1864_97percentmags_metabolism_summary.xlsx</li> <li>product_0.html</li> <li>product_1.html</li> </ul> <p>METHODS:</p> <p>MAGs were annotated and distilled using DRAM (v1.4.0).</p> <p>FUNDING:<br> This research is a contribution of the EMERGE Biology Integration Institute ((https://emerge-bii.github.io/), funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070.<br> We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council's grant 4.3-2021-00164.<br> This study was also funded by the Genomic Science Program of the United States Department of Energy Office of Biological and Environmental Research, grant #s DE-SC0004632. DE-SC0010580. and DE-SC0016440.<br> A portion of this research was performed under the Facilities Integrating Collaborations for User Science (FICUS) program (proposal: 10.46936/fics.proj.2017.49950/60006215 and 10.46936/10.25585/60001148) and used resources at the DOE Joint Genome Institute (<a href="https://www.google.com/url?q=https://ror.org/04xm1d337&sa=D&source=docs&ust=1674859614742521&usg=AOvVaw2XgXYw9eI4JIXRMKn3S9Se">https://ror.org/04xm1d337</a>) and the Environmental Molecular Sciences Laboratory (<a href="https://www.google.com/url?q=https://ror.org/04rc0xn13&sa=D&source=docs&ust=1674859614742655&usg=AOvVaw3UXdoHIFmVjc-mXUhDXYQt">https://ror.org/04rc0xn13</a>), which are DOE Office of Science User Facilities operated under Contract Nos. DE-AC02-05CH11231 (JGI) and DE-AC05-76RL01830 (EMSL).</p>
Migration Reframed - Multilingual stance annotated Twitter news replies on migration in Europe in the context of the Ukrainian crisis
<p><em>The corresponding paper for this dataset "Migration Reframed? A multilingual analysis on the stance shift in Europe during the Ukrainian crisis" has been published in the ACM Web Conference 2023 (WWW'23), and can be accessed here: </em><a href="https://doi.org/10.1145/3543507.3583442">https://doi.org/10.1145/3543507.3583442</a> <em>. Please cite this when using the dataset.</em></p> <p>Twitter dataset of European news and replies to investigate public stance on refugees/migrants around the Ukrainian Crisis.</p> <p>September 2021 to August 2022.</p> <p>Countries:</p> <ul> <li>France</li> <li>Germany</li> <li>Italy</li> <li>Poland</li> <li>Spain</li> </ul> <p>Dataset contains:</p> <ul> <li>Usernames of news outlet accounts on Twitter</li> <li>Tweet IDs of these news accounts during the mentioned period filtered for the migration topic + respective replies from the public</li> <li>Tweet IDs of stance annotated replies</li> <li>8,242 tweet/reply pairs labeled with the stance (positive / negative / neutral) on migrants/refugees (on request)</li> </ul> <table> <caption>Dataset overview by the numbers</caption> <thead> <tr> <th scope="col">Country</th> <th scope="col">News Outlets</th> <th scope="col">News Tweets</th> <th scope="col">Replies</th> <th scope="col">Stance Annotated</th> </tr> </thead> <tbody> <tr> <td>France</td> <td>37</td> <td>2,020</td> <td>32,839</td> <td>500</td> </tr> <tr> <td>Germany</td> <td>72</td> <td>3,752</td> <td>55,317</td> <td>500</td> </tr> <tr> <td>Italy</td> <td>21</td> <td>1,305</td> <td>9,892</td> <td>500</td> </tr> <tr> <td>Poland</td> <td>35</td> <td>3,138</td> <td>27,892</td> <td>6,242</td> </tr> <tr> <td>Spain</td> <td>35</td> <td>1,263</td> <td>20,771</td> <td>500</td> </tr> <tr> <td> </td> <td>200</td> <td>11,478</td> <td>146,711</td> <td>8,242</td> </tr> </tbody> </table> <p>Please note: Stance labels are not included and are only available on request.</p>
Figs 1–6 in An annotated list and a key to Vietnamese species of the genus Hyperxipha Maa, 1949 (Hymenoptera: Xiphydriidae) with description of a new species
Figs 1–6. Hyperxiphia punctata Pham, sp. n., holotype ♀. 1 – head, frontal view; 2 – head, dorsal view; 3 – head, lateral view; 4 – vertex; 5 – pronotum, dorsal view; 6 – thorax, dorsal view.
Figs 7–12 in An annotated list and a key to Vietnamese species of the genus Hyperxipha Maa, 1949 (Hymenoptera: Xiphydriidae) with description of a new species
Figs 7–12. Hyperxiphia punctata Pham, sp. n, holotype ♀. 7 – thorax, lateral view; 8 – mesopleuron; 9 – forewing; 10 – abdomen, dorsal view; 11 – abdomen, lateral view; 12 – habitus, lateral view.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.