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zenodo40/100

FIG. 7 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 7. — Active collecting techniques: A, collecting butterflies with a net; B, sweeping vegetation (NS or SW) with a rugged sweep net; C, beating tray (BS), the vegetation is hit with a stick, which causes the arthropods to fall on the white nape mounted on a frame; D, searching for aquatic larvae with a rugged aquatic net; E, looking for butterfly caterpillars (Riodinidae and Lycaenidae) on liana flowers; F, visual search for reptiles, here with a Lachesis muta (Linnaeus, 1766) snake. Photos: A, B, C, E, Stéphane Brûlé; D, Nicolas Moulin; F, Xavier Desmier.

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 3 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 3. — Illustration of the landscape and main habitat types found in the Mitaraka study area: A, general landscape of the study area, with the drop zone visible in the foreground; B, inselberg "Sommet-en-Cloche" with bare rocks and transition forest; C, mosaic of forests and cambrouses; D, forest interior; E, swamp forest (bas-fond) with Euterpe oleracea Mart palm. Photos: Xavier Desmier, except B, Stéphane Brûlé.

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 5 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 5. — Passive interception traps: A, windowpane flight intercept trap (FIT) suspended over a fallen tree crown; B, 6 meter Malaise trap (MT) set up over a fallen tree near the Alama river; C, SLAM traps on an inselberg forest edge; D, a buprestid beetle (Buprestidae) trapped in artificial spider web (ASW). Photos: A, B, D, Julien Touroult; C, Stéphane Brûlé.

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 4 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 4. — Some of the collecting sites and techniques: A, drop zone forest clearing, with a high amount a freshly cut trees, and scattered SLAM traps; B, clearing, equiped with SLAM traps, automatic light trap and artificial spider web (ASW); C, active net collecting of butterflies on the "Sommet-en-Cloche" inselberg. Photos: A, B, Julien Touroult, C, Stéphane Brûlé.

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 2 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 2. — Mitaraka study area map with the four trails indicated (map by Maël Dewynter, map base by IGN and Parc amazonien de Guyane).

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 6 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 6. — Attractive traps: A, pink LED based automatic light trap (PVP) suspended at 15 m height close to a small canopy gap; B, light trap (LT) with light bulb of 125W and with white sheet, covered with moths at the end of a rainy night; C, colored pan traps (blue [BPT], white [WPT], and yellow [YPT]) at soil surface level to collect Diptera; D, fruit baited Coleoptera traps with banana nectar (BT), suspended in forest canopy; E, Nymphalidae butterfly trap (CHX), suspended in the forest canopy; F, tree equiped with ropes and baits composed of honey and tuna at different heights to attract ants; G, pitfall trap baited with dung (PFC) to collect coprophagous Scarabaeidae; H, Big Shot, a type of slingshot used to shoot ropes and suspend traps high up in the trees. Photos: A, B, G, H, Julien Touroult; C, Marc Pollet; F, Maurice Leponce; D, E, Stéphane Brûlé.

opencc-zeroJul 2018View details →
zenodo40/100

FIG. 11 in Overview of Mitaraka survey: research frame, study site and field protocols

FIG. 11. — Process flow for Diptera: A, each Diptera coordinator and taxonomic expert signs an agreement prior to receiving samples; B, sampling specimens with an array of methods (Malaise trap, pan traps, sweep net, SLAM trap); C, transporting of partly processed and unprocessed samples to the Belgian lab; D, sorting Diptera from complete samples and splitting the Diptera fraction into workable fractions (mostly on family level) for Diptera coordinators – taxonomic experts; E, processed Diptera fractions (Dolichopodidae, Empidoidea, Mycetophilidae, Phoridae); F, dissemination of workable fractions to Diptera coordinators – taxonomic specialists (10 in Europe, 5 in Canada, 8 in the USA, 10 in Brazil); G, examination and identification of specimens of workable fractions by the taxonomic expert (or further splitting of fractions by Diptera coordinator); H, commitments as part of the signed agreement (see Fig. 11A), with submission of identification file as first.

opencc-zeroJul 2018View details →
zenodo40/100

Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes

<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>,&nbsp;which derive&nbsp;from the paper of&nbsp; &#39;<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure&#39;</em>.</p> <p><strong>SITE.obs files:</strong>&nbsp; observed postseismic time series&nbsp;due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series.&nbsp;Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021).&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

3D Models from La Noira site (Central France)

<p>76 3D models (.pdf) of the handaxes and cleaver-like tools&nbsp;from La Noira sequence (Central&nbsp;France). There are two folders: Lower Levels (stratum a) and Upper Levels (stratum c).</p> <p>The models are unscaled. If you need metrical information, please contact the author.</p> <p>The .xlsx files contains the list of tools (including code and layer information).</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

3D Models from Menez Dregan I site (Plouhinec, Finistère, France)

<p>64 3D models (.pdf) of the handaxes and cleavers from Menez Dregan I sequence (Plouhinec, Finist&egrave;re, France), Layers 8 to 4.</p> <p>The models are unscaled. If you need metrical information, please contact the author.</p> <p>The .xlsx file contains the list of tools (including code and layer information).</p>

opencc-by-4.0Dec 2020View details →
zenodo40/100

Observed and model postseismic time series at GPS sites due to the 2012 Craig and 2013 Haida Gwaii earthquakes

<p><strong>Files with the observed and model displacements, along with predicted model time series</strong>,&nbsp;which derive&nbsp;from the paper of&nbsp; &#39;<em>Postseismic Deformation Due To the 2012 MW 7.8 Haida Gwaii and 2013 MW 7.5 Craig Earthquakes and Its Implications for regional rheological structure&#39;&nbsp;&nbsp;</em><strong>JGR: Soild Earth (2021),&nbsp;</strong><a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p> <p><strong>SITE.obs files:</strong>&nbsp; observed postseismic time series&nbsp;due to the 2012 Mw 7.8 Haida Gwaii and 2013 Mw 7.5 Craig earthquakes</p> <p><strong>SITE.mod files:</strong> Model postseismic displacements, along with predicted time series.&nbsp;Detailed explanations please see <strong>readme.txt</strong>.</p> <p><strong>GPS site names</strong> are the same with the study of Tian et al. (2021).&nbsp;<a href="https://doi.org/10.1029/2020JB020197">https://doi.org/10.1029/2020JB020197</a>.</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

Data archive for the journal article: "Comparison of co–located rBC and EC mass concentration measurements during field campaigns at several European sites"

<p>Data archive accompanying the peer-reviewed journal article &quot;Comparison of co&ndash;located rBC and EC mass concentration measurements during field campaigns at several European sites&quot;. In January 2021 this article was accepted for publication in the journal <em>Atmospheric Measurement </em><em>Techniques</em>. Data are uploaded in the form of Igor 8.0 graphics source files (.pxp) and data exported to Excel spreadsheet (.xlsx).</p>

opencc-by-4.0Jan 2021View details →
zenodo40/100

Figure 2 in An instance of Boiga dendrophila dendrophila (Boie, 1827) (Reptilia: Colubridae) being parasitized by Amblyomma helvolum Koch, 1844 (Acari: Ixodidae), with comments about the attachment sites of this tick species

Figure 2 An Amblyomma sp. nymph attached under a lateral mid-body scale of theBoiga dendrophila dendrophila(Photo by Jean-Jay Mao).

opencc-by-4.0Feb 2019View details →
zenodo40/100

Figure 1 in An instance of Boiga dendrophila dendrophila (Boie, 1827) (Reptilia: Colubridae) being parasitized by Amblyomma helvolum Koch, 1844 (Acari: Ixodidae), with comments about the attachment sites of this tick species

Figure 1 Two Amblyomma helvolum females attached to the neck of theBoiga dendrophila dendrophila(Photo by Jean-Jay Mao).

opencc-by-4.0Feb 2019View details →
zenodo40/100

Fig. 3 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 3. Mean of flight initiation distances for the three labrid species studied in MUAs (Multiple-use areas) and NTAs (No-take areas) in Abrolhos. The upper limits of lines indicate standard deviation; *symbols indicate significant differences according to ANCOVA; **(p &lt;0.001).

opencc-by-4.0Dec 2016View details →
zenodo40/100

Fig. 4 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 4. Relationship between flight initiation distances (FID), group size and body size (continuous covariates) inside NTAs and MUAs (categorical factor). Black dots represent samples from no-take areas (NTAs); white dots represent samples from multiple-use areas (MUAs). The continuous line represents the best fit for MUAs data and the dotted line that for NTAs data.

opencc-by-4.0Dec 2016View details →
zenodo40/100

Fig. 1 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 1. Map of study area showing sampled sites (MUAs: Multiple-use areas; NTAs: No-take areas) in the Abrolhos bank.

opencc-by-4.0Dec 2016View details →
zenodo40/100

Fig. 5 in Are Abrolhos no-take area sites of naïve fish? An evaluation using flight initiation distance of labrids

Fig. 5. Average group size (a) and body size (b) estimated for the three labrids studied in both no-takes (NTAs) and multiple-use areas (MUAs) sampled in the Abrolhos Bank. The upper limits of lines indicate standard error.

opencc-by-4.0Dec 2016View details →
dryad40/100

Data from: Preserved collagen reveals species identity in archaeological marine turtle bones from Caribbean and Florida sites

Advancements in molecular science are continually improving our understanding of marine turtle biology and evolution. However, there are still considerable gaps in our understanding, such as past marine turtle distributions, which can benefit from advanced zooarchaeological analyses. Here we apply collagen fingerprinting to 130 archaeological marine turtle bone samples up to 2500 years old from the Caribbean and Florida's Gulf Coast for faunal identification, finding the vast majority of samples (88%) to contain preserved collagen despite deposition in the tropics. All samples can be identified to species-level with the exception of the Kemp's ridley (Lepidochelys kempii) and olive ridley (L. olivacea) turtles, which can be separated to genus level, having diverged from one another only ~5 million years ago. Additionally, we identify a single homologous peptide that allows the separation of archaeological green turtle samples, Chelonia spp., into two distinct groups, which potentially signifies a difference in genetic stock. The majority of the archaeological samples are identified as green turtle (Chelonia spp.; 63%), with hawksbill (Eretmochelys imbricata; 17%) and ridley turtles (Lepidochelys spp.; 3%) making up smaller proportions of the assemblage. There were no molecular identifications of the loggerhead turtle (Caretta caretta) in the assemblage despite 9% of the samples being morphologically identified as such, highlighting the difficulties in relying on morphological identifications alone in archaeological remains. Finally, we present the first marine turtle molecular phylogeny using collagen (I) amino acid sequences and find our analyses match recent phylogenies based on nuclear and mitochondrial DNA. Our results highlight the advantage of using collagen fingerprinting to supplement morphological analyses of turtle bones and support the usefulness of this technique for assessing their past distributions across the Caribbean and Florida's Gulf Coast, especially in these tropical environments where DNA preservation may be poor.

opencc-zeroOct 2019View details →
zenodo40/100

Multi-Site Fat-Water Phantom MRI Data

<p><strong>Dataset description:</strong> Accompanying data for manuscript &ldquo;Multi-Site,</p> <p>Multi-Vendor Validation of the Accuracy and Reproducibility of</p> <p>Proton-Density Fat-Fraction Quantification at 1.5T and 3T using a</p> <p>Fat-Water Phantom&rdquo;, submitted for publication in Magnetic Resonance in</p> <p>Medicine in January 2016.</p> <p>&nbsp;</p> <p><strong>Details:</strong> The &#39;datasets&#39; folder contains multiple MATLAB MAT-files</p> <p>files with chemical shift-encoded (CSE) MRI data for validation of fat</p> <p>quantification techniques in a fat-water phantom. Data was acquired at</p> <p>six sites with different MRI vendors, two field strengths (1.5T and</p> <p>3T) per site, and two protocols per field strength. The goal of these</p> <p>techniques is to measure proton-density fat-fraction (PDFF) accurately</p> <p>and reproducibly. Data from site 1 was acquired both at the beginning</p> <p>(October 2014) and at the end (December 2015) of this study, in order</p> <p>to evaluate the integrity of the phantom.&nbsp;</p> <p>&nbsp;</p> <p>Details on the vendors, platforms and protocols are described in the</p> <p>file &#39;vendors_platforms_protocols.pdf&#39; in this same folder.</p> <p>&nbsp;</p> <p>The phantom consists of 11 vials with different fat concentrations</p> <p>(PDFF = 0%, 2.6%, 5.3%, 7.9%, 10.5%, 15.7%, 20.9%, 31.2%, 20.9%,</p> <p>31.2%, 41.3%, 51.4% and 100%, respectively). At each magnet, the vials</p> <p>were arranged horizontally along the B0 field and scanned with axial</p> <p>slices using a 3D multi-echo spoiled gradient echo pulse sequence.</p> <p>&nbsp;</p> <p>Each of the MAT-files contains the acquired complex-valued images over</p> <p>the three central slices within the phantom vials. The structure</p> <p>&#39;imDataAll&#39; contains the acquired data, with the following fields:</p> <p>&#39;TE&#39; (echo times), &#39;FieldStrength&#39; (in Tesla), &#39;PrecessionIsClockwise&#39;</p> <p>(describing whether water has higher resonance frequency than fat</p> <p>according to the reconstruction convention), &#39;echo_polarity&#39; (relative</p> <p>polarity of the acquired echoes, ie: monopolar vs bipolar readouts),</p> <p>&#39;images&#39; (five-dimensional array containing the complex valued images,</p> <p>coil-combined in datasets received with multiple channels, with</p> <p>dimensions X x Y x Slices x Coils x Echoes).</p> <p>&nbsp;</p> <p>Additionally, the MAT-files contain reconstruction results as</p> <p>described in the manuscript, in the arrays &#39;fwmc_*&#39; of size X x Y x</p> <p>Slices. Note that the nomenclature &#39;fwmc&#39; stands for &#39;Fat-Water</p> <p>separated with Magnitude fitting (performed after complex fitting in</p> <p>order to obtain full 0-100% range of PDFF while avoiding errors</p> <p>related to phase shifts in the data), and a Common initial phase for</p> <p>the water and fat signals. The specific arrays are &#39;fwmc_ff&#39; (PDFF</p> <p>map), &#39;fwmc_r2star&#39; (R2*=1/T2* decay rate), &#39;fwmc_w&#39; (water image),</p> <p>&#39;fwmc_f&#39; (fat image).</p>

opencc-zeroJan 2016View details →

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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