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175 results for “GRAPHICS”
Graphic materials from the Prus Plus Digital Collection
<p>A digital collection of visual materials (drawings) from 19th-century periodicals held in the resources of the <a href="http://ibl.waw.pl/pl/o-instytucie/biblioteka">IBL PAN Library</a>, prepared for the Prus Plus digital monography (in <a href="https://nplp.pl/kolekcja/prus-plus/">Polish </a>and <a href="http://nplp.pl/en/kolekcja/prus-plus/">English</a>) by the New Panorama of the Polish Literature team.</p> <p>Note: Authors in this case means: people processing, remixing, selecting and analyzing the collection of visual materials (New Panorama of Polish Literature) and the institution curating these resources (IBL PAN Library).</p> <p>Kolekcja materiałów wizualnych (rysunków) z XIX-wiecznych czasopism, znajdujących się w zbiorach <a href="https://ibl.waw.pl/pl/o-instytucie/biblioteka">Biblioteki IBL PAN</a>, przygotowana na potrzeby cyfrowej monografii Prus Plus (w <a href="https://nplp.pl/kolekcja/prus-plus/">języku polskim</a> i <a href="http://nplp.pl/en/kolekcja/prus-plus/">angielskim</a>) przez zespół Nowej Panoramy Literatury Polskiej.</p> <p>Uwaga! Autorzy oznacza w tym przypadku: osoby przetwarzające, remiksujące, selekcjonujące i analizujące kolekcję materiałów wizualnych (Nowa Panorama Literatury Polskiej) oraz instytucję przechowującą zasoby (Biblioteka IBL PAN). </p> <p> </p> <p> </p>
Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset
<p><strong>Post-processed data and graphical tools for a CONUS-wide eddy flux evapotranspiration dataset</strong><br> </p> <p>We curated a dataset of post-processed <em>in situ</em> evapotranspiration (ET) measurements, primarily from eddy covariance flux towers, from stations located within the contiguous United States. The dataset includes daily and monthly aggregated ET, energy balance metrics, and micrometeorological data that were post-processed from 148 flux towers, 4 weighing lysimters, and 8 Bowen Ration stations. Original data was retrieved from the <a href="https://ameriflux.lbl.gov/">AmeriFlux</a> network and other networks and partners. The dataset is oriented towards ET and includes both ET that has been corrected for energy balance closure error as well as the uncorrected values. Energy balance components (latent and sensble heat flux, soil heat flux, and net radiation) were subject to limited gap-filling and latent energy (ET) was subject to additional visual quality control. Other meteorological measurements such as air temperature, precipitation, humidity, etc. are included for most stations depending on availability, and some additional variables were calculated. Interactive graphics of most post-processed data are also included. The dataset has many potential uses including evaluation of regional hydrologic and atmospheric models, energy balance analysis, and more.</p> <p><br><strong>Description of the Data and file structure</strong></p> <p>The dataset is in a compressed (zipped) archive titled "flux_ET_dataset", so first it needs to be downloaded and extracted. Once extracted there are four major components within: </p> <p>1. A collection of time series files with daily aggregated data (one for each station), these are in the directory named "daily_data_files" and are in CSV format.<br>2. A similar collection of time series files for monthly aggregated data in "monthly_data_files". <br>3. Interactive graphic files (HTML format) for each station which are in the "graphical_files" directory. <br>4. Two additional tables in the root directory, including a metadata file named "station_metadata.xlsx" with site information such as site ID, coordinates, land cover type, principal investigator information, etc. The other table named "variable_explanation.xlsx" lists all variables that were post-processed in the flux dataset and gives a short description of each as well as their units. </p> <p>Each data and plot file starts with the station's ID or site ID which are listed in the station_metadata.xlsx file. </p> <p>Here is a visual of the file structure:</p> <blockquote> <p><br>flux_ET_dataset<br>│ README.md<br>│ variable_explanation.xlsx<br>│ station_metadata.xlsx<br>│<br>└───daily_data_files<br>│ │ [site ID]_daily_data.csv<br>│ │ ...<br>└───monthly_data_files<br>│ │ [site ID]_monthly_data.csv<br>│ │ ...<br>└───graphical_files<br>│ │ [site ID]_plots.html<br>│ │ ...<br>```</p> </blockquote> <p>The variable names in the daily and monthly data files as well as the graphics all follow the same naming scheme which are defined in the variable_explanation.xlsx file. For example, LE stands for latent energy flux and is in units of W/m<sup>2</sup>. </p> <p><br><strong>Sharing/access Information</strong></p> <p>Currently, this repository is the only location where the data are hosted. Original data, prior to post-processing, were retrieved from multiple providers listed below:</p> <p>* AmeriFlux network (https://ameriflux.lbl.gov/) </p> <p>* California State University, Monterey Bay, Seaside, CA, USA </p> <p>* Desert Research Institute, Reno, NV, USA </p> <p>* gridMET, Northwest Knowledge Network at the University of Idaho (https://thredds.northwestknowledge.net/) </p> <p>* United States Geological Survey Nevada Water Science Center, Carson City, NV, USA </p> <p>* Delta-Flux network, Arkansas, Louisiana, MS, USA </p> <p>* United States Department of Agriculture Agricultural Research Service (USDS-ARS): </p> <p> * Sustainable Water Management Research Unit, Stoneville, MS, USA </p> <p> * US Salinity Laboratory, Agricultural Water Efficiency and Salinity Research Unit, Riverside, CA, USA </p> <p> * Conservation & Production Research Laboratory, Bushland, TX, USA </p> <p> * US Arid-Land Agricultural Research Center, Maricopa, AZ, USA </p> <p> * Hydrology and Remote Sensing Laboratory, Beltsville, MD, USA </p> <p>Further contact information for each station as well as DOI's for original AmeriFlux data are included in the "station_metadata.xlsx" file. </p> <p><br><strong>Code/Software</strong></p> <p>All files that comprise this dataset were generated using the "flux-data-qaqc" open-source Python package version 0.1.6. The package is hosted on <a href="https://github.com/Open-ET/flux-data-qaqc">GitHub</a> and <a href="https://pypi.org/project/fluxdataqaqc/">PyPI</a>, it also has <a href="https://flux-data-qaqc.readthedocs.io/en/latest/">online documentation</a> including an in depth user tutorial. </p>
Data and graphics from: "Three invariants of strange attractors derived through hypergeometric entropy"
<p>This package contains data and graphics related to the publication:</p><p>Keisuke Okamura, "Three invariants of chaotic attractors derived through hypergeometric entropy", Chaos, Solitons & Fractals 170 (2023) 113392; <a href="https://doi.org/10.1016/j.chaos.2023.113392">https://doi.org/10.1016/j.chaos.2023.113392</a></p><p> </p><p><strong>Abstract of the original article</strong></p><p>A new description of strange attractor systems through three geometrical and dynamical invariants is provided. They are the correlation dimension (\(\mathcal{D}\)) and the correlation entropy (\(\mathcal{K}\)), both having attracted attention over the past decades, and a new invariant called the correlation concentration (\(\mathcal{A}\)) introduced in the present study. The correlation concentration is defined as the normalised mean distance between the reconstruction vectors, evaluated by the underlying probability measure on the infinite-dimensional embedding space. These three invariants determine the scaling behaviour of the system's Rényi-type extended entropy, modelled by Kummer's confluent hypergeometric function, with respect to the gauge parameter (\(\rho\)) coupled to the distance between the reconstruction vectors. The entropy function reproduces the known scaling behaviours of \(\mathcal{D}\) and \(\mathcal{K}\) in the 'microscopic' limit \(\rho\to\infty\) while exhibiting a new scaling behaviour of \(\mathcal{A}\) in the other, 'macroscopic' limit \(\rho\to 0\). The three invariants are estimated simultaneously via nonlinear regression analysis without needing separate estimations for each invariant. The proposed method is verified through simulations in both discrete and continuous systems.</p><p> </p><p><strong>Data files</strong></p><p>The following files are provided (see the original article for the notation):</p><ul><li>The comma-separated values (CSV) file named 'est_sum_all.csv' summarises the results of the correlation dimension (\(\mathcal{D}\)), correlation entropy (\(\mathcal{K}\)) and correlation concentration (\(\mathcal{A}\)) estimates for two discrete (logistic and Hénon maps) and four continuous (Lorenz, Rössler, Duffing-Ueda and Langford attractors) chaotic systems in tabular form.</li><li>The six CSV files whose file names begin with 'H_' record the extended Rényi entropy values calculated for each \(\sigma\) value (in increments of 0.1) for the chaotic system whose name follows the prefix, for each embedding dimension (\(m\)). The column 'mN' shows the results for the embedding dimension \(N\).</li><li>The six PDF files whose file names begin with 'gr_' illustrate, for the named chaotic systems following their prefixes, their i) appearance (left), ii) graph of the extended Rényi entropy as a function of \(\sigma\) (centre) and iii) the chaotic invariants (\(\mathcal{D}, \mathcal{K}, \mathcal{A}\)) estimation results (right).</li></ul>
TauBench: A Dynamic Benchmark for Graphics Rendering (Dataset Reference Frames)
<p>TauBench is a dynamic graphics rendering benchmark dataset, targeted especially towards rendering methods relying on the reuse of temporal data. The dataset is available at <a href="https://doi.org/10.5281/zenodo.5729573">https://doi.org/10.5281/zenodo.5729573</a>, and this upload provides path traced reference frames for it in PNG format. The images are rendered with <a href="https://github.com/vga-group/tauray">Tauray</a> at 16384 samples per pixel (spp), at both 1080p and 2160p resolutions. Frame indices start from 0 and are <em>not</em> padded with leading zeroes.</p> <p>More information about TauBench is also available at <a href="https://webpages.tuni.fi/vga/taubench">https://webpages.tuni.fi/vga/taubench</a>.</p>
Two graphical displays from SpectrumLab of WWV-10 carrier frequency on 18 Aug 2017
<p>NAME : Martin Potter, VE3OAT<br> GEOPOSIT : 45 15' 9.023" N 75 35' 27.60" W (Maidenhead FN25eg)<br> START TIME : 1400 UT<br> STATION CONFIG :<br> Multi-band vertical antenna with 18 radials.<br> Receiver Yaesu FTdx1200 in AM mode with audio bands limited to<br> 800-1200 Hz (18 dB/octave roll-off).<br> Trimble Thunderbolt 10 MHz output to HP 3325B sig generator set<br> to 9999 kHz and injected to station antenna.<br> Measured nominal 1 kHz beat note between WWV-10 and sig generator<br> using SpectrumLab software.<br> <br> Note : On 20 Aug, receiver AGC was ON. On 21 Aug, receiver AGC was<br> OFF and audio output level was set using RF Gain control. </p> <p> </p>
SeaPaCS graphic elaboration of the Protocol for marine micro-plastic collection and monitoring in citizen science and for building a L.A.D.I. trawling tool
<p>This is a graphic elaboration (in Italian) of the protocol "SeaPaCS deliverable - protocol for plastic monitoring in citizen science" in English and Italian is a deliverable of the SeaPaCS project (Participatory Citizen Science Against Marine Pollution), funded by IMPETUS (project ID 101058677). The protocol and the visual elaboration has been freely adapted from "<i>LADI and the Trawl</i>" by Coco Coyle with Melissa Novaceski, Emily Wells and Max Liboiron, as published by the Civic Laboratory for Environmental Action Research, August 2016. The graphic elaboration (as the protocol) in both languages, consists of three parts: 1) how to build a DIY low cost manta trawl device (LADI - Low-Tech Aquatic Detection Debris Instrument) to monitor plastic pollution, adjusted to materials availability and costs in Italy; 2) how to monitor (the sampling itself and towing procedure); and 3) how to categorize plastic debris back on land. </p>
TOPS Open Science Graphics
<p>Two TOPS figures promoting open science.</p>
Graphic Novel Character Networks and Statistics
<p><strong>Description.</strong> This dataset contains the character networks extracted from the graphic novel Thorgal, as well as the statistics and plots produced when analyzing these networks.</p> <p><strong>Source code. </strong>The source code used to produce these files is available on GitHub: <a href="https://github.com/CompNet/NaNet">https://github.com/CompNet/NaNet</a></p> <p><strong>Citation. </strong>If you use these data, please cite the following article:</p> <ul> <li>V. Labatut, “Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée <em>Thorgal</em>,” Advances in Complex Systems, p. 22400033, 2022. ⟨<a href="https://hal.archives-ouvertes.fr/hal-03694768">hal-03694768</a>⟩ - DOI: <a href="http://doi.org/10.1142/S0219525922400033">10.1142/S0219525922400033</a></li> </ul> <p><br><code>@Article{Labatut2022,</code><br><code> author = {Labatut, Vincent},</code><br><code> title = {Complex Network Analysis of a Graphic Novel: The Case of the Bande Dessinée {T}horgal},</code><br><code> journal = {Advances in Complex Systems},</code><br><code> year = {2022},</code><br><code> volume = {25},</code><br><code> number = {5\&6},</code><br><code> pages = {2240003},</code><br><code> doi = {10.1142/S0219525922400033},</code><br><code>}</code></p>
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).
Figure 3. The graphic representation of the frequencies of the specifications for the technological dimension in curricular documents--Educational Research on the Technological Dimension of Private Life
<p>There are also major differences between schooling levels (Figure 3). In the<br> gymnasium educational system (12) and high school educational system (15) there are more<br> themes concerned with the technological dimension at the level of school curricula, as<br> compared to the primary educational system (2). Also, in alternative textbooks, these themes<br> are predominant in the high school educational system (56) and the gymnasium educational<br> system (27), as compared to the primary educational system (1).</p>
Figure 4. The graphic representation of the means for the elements component of the technological dimension variable according to the group variable (teachers versus students)
<p>The second hypothesis is confirmed. There are differences between teachers’ and<br> students’ representations on the technological dimension of private life. Test t results show<br> that teachers have a more positive perception than students for the next component of<br> technological dimensions: Personal Self [t(2344) = 4,446, p <0,05], Adaptive Self [t(2344) =<br> 2,757, p <0,05], Primary groups [t(2344) = 3,192, p <0,005] (Table 3, Figure 4).</p>
Figure 11 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 11. (a) Ventral shields of Bispira porifera (stained with methylene blue) and Branchiomma bairdi highlighted red. (b) Opercula of (left to right, respectively) Hydroides heteroceros, H. longispinosus and H. sanctaecrucis; red arrows indicate verticil; outlined arrows indicate verticil spines. All scales in mm.
Figure 8 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 8. (a) Radiolar crowns in (left to right, respectively) Branchiomma bairdi, Spirobranchus kraussii and Euchone variabilis. (b) Radioles of Bispira serrata and Bispira manicata; arrows indicate radiolar eyes. (c) Arrow indicates radiolar flange on Bispira serrata. (d) Radiolar crown of Bispira manicata, consisting of 2 radiolar lobes (arrows). (e) Radiole filaments of Sabellastarte australiensis and Bispira porifera. (f) Single radius highlighted red in Hydroides brachyacanthus and Serpula jukesii. (g) SEM image of rasp-shaped posterior abdominal uncini in Serpula columbiana. (h) Recurved spines in posterior notopodia of Boccardiella bihamata (on left, stained with methyl green) and Polydora uncinata (on right). (i) SEM image of saw-shaped thoracic uncini on Serpula columbiana. All scales in mm.
Figure 9 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 9. (a) Single segments of Branchiomma bairdi (left 2 images) and Polydora haswelli (stained with methyl green) highlighted red. (b) Arrows indicate spinules on opercula of (left to right, respectively) Hydroides elegans, H. heteroceros and H. tambalagamensis. (c) Spirobranchus- type collar chaetae from Spirobranchus tetraceros (stained with methyl green). (d) Radioles of Branchiomma galei and Branchiomma bairdi; arrows indicate stylodes (palmate in B. galei and simple in B. bairdi). (e) Arrow indicates thoracic membrane of Spirobranchus cariniferus, stained with methylene blue. (f) Thorax regions (highlighted red) of (left to right, respectively) Bispira manicata, Spirobranchus cariniferus (stained with methylene blue) and Branchiomma bairdi. (g) Arrow indicates tonguelet of Spirobranchus cariniferus (stained with methylene blue), partially covered by collar. All scales in mm.
Figure 10 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 10. (a) Tori of Branchiomma bairdi and Sabella spallanzanii highlighted red. (b) Triangular depression in Spirobranchus tetraceros (stained with methylene blue) highlighted red. (c) SEM image of true trumpet-shaped chaetae of Spirobranchus giganteus. (d) Tubes of (left to right, respectively) Spirobranchus taeniatus, Bispira serrata and Pseudopolydora paucibranchiata: calcareous in Serpulidae (S. taeniatus) and muddy in Sabellidae (B. serrata) and Spionidae (P. paucibranchiata). (e) Uncini of (left to right, respectively) Branchiomma bairdi, Spirobranchus cariniferus (stained with methylene blue), and close-up in Bispira manicata (stained with methyl green). (f) Arrow indicates ventral lip in live specimen of Branchiomma arctica (photo: © Alexander Semenov). (g) Collar region of Bispira serrata and Sabella spallanzanii; arrows indicate ventral sacs. All scales in mm.
Figure 7 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 7. (a) Operculum of Spirobranchus minutus (above) and Spirobranchus kraussii (below); arrows indicate opercular endplate. (b) Paleate collar chaetae of Laonome triangularis. (c) Arrows indicate palps of Polydora haswelli (stained with methyl green) and Boccardia proboscidea (live specimen). (d) Parapodia highlighted red in (left to right, respectively) Sabellastarte australiensis, Boccardiella bihamata (stained with methyl green) and Spirobranchus cariniferus (stained with methylene blue). (e) Arrows indicate peduncle of Hydroides norvegicus (stained with methylene blue) and Spirobranchus cariniferus. (f) Tubes of Ficopomatus enigmaticus and Ficopomatus uschakovi; arrows indicate peristomes. (g) Collar region/base of radiolar crown in Myxicola infundibulum stained with methylene blue; peristomium highlighted red. (h) Radioles of Bispira serrata and Bispira porifera; arrows indicate individual pinnules. (i) Anterior end of Hydroides norvegicus (stained with methylene blue); arrow indicates pseudoperculum. (j) Arrows indicate pygidium of Bispira serrata and Boccardia polybranchia (stained with methyl green). All scales in mm.
Figure 5 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 5. (a) Arrows indicate hood on collar chaetae of Laonome triangularis (left 2 images), Laonome calida and thoracic chaetae of Crucigera websteri (SEM image). (b) Arrow indicates hood in neuropodial hooks of Polydora uncinata. (c) Hooks in posterior neuropodia of Polydora uncinata. (d) Radioles proximally connected by inter-radiolar membranes (arrows) in Sabella spallanzanii and Spirobranchus cariniferus (stained with methylene blue). (e) Inter-ramal eyes (arrows) located between notopodia and neuropodia of Branchiomma galei and Branchiomma bairdi. (f) Calcareous tubes of Spirobranchus cariniferus (left) and Spirobranchus kraussii (right); arrows indicate keels on tube. (g) Falcate spines in notopodia of chaetiger 5 of Polydora uncinata; arrow indicates lateral flange. (h) Lobate condition in collars of (left to right, respectively) Spirobranchus cariniferus (stained with methylene blue), Sabella spallanzanii and pygidium of Polydora ciliata (stained with methyl green). Lobes highlighted red. All scales in mm.
Figure 6 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 6. (a) Thoracic uncini of Desdemona aniara (above, SEM image) and Laonome triangularis (below); arrows indicate main fangs. (b) A pair of dorsal horns (indicated by arrow) on chaetiger 2 of a male of Pygospio elegans. (c) Narrowly hooded thoracic chaetae of Sabellastarte australiensis. (d) Thoracic neuropodia highlighted red on (left to right, respectively) Branchiomma bairdi, Bispira manicata, Boccardiella bihamata (stained with methyl green) and Boccardia proboscidea (stained with methyl green); arrows indicate neurochaetae. (e) Thoracic notopodia highlighted red on (left to right, respectively) Branchiomma bairdi, Bispira manicata, Boccardiella bihamata (stained with methyl green) and Boccardia proboscidea (stained with methyl green); arrows indicate notochaetae. (f) SEM image of dorsal anterior end of Polydora cornuta. Red arrows indicate a pair of nuchal organs; outlined arrow indicates occipital antenna. (g) Arrows indicate opercula of (left to right, respectively) Hydroides norvegicus (stained with methylene blue), Ficopomatus enigmaticus and Spirobranchus tetraceros. All scales in mm.
Figure 4 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 4. (a) Dorsal/ventral sides illustrated on examples of (left to right, respectively) Serpulidae (Spirobranchus tetraceros), Sabellidae (Bispira manicata) and Spionidae (Polydora haswelli, stained with methyl green). (b) Arrows indicating paired dorsal radiolar appendages, fused to dorsal lips, in (left to right, respectively) Sabella spallanzanii, Bispira porifera and Bispira manicata. (c) Falcate spines in notochaetae on chaetiger 5 of Polydora uncinata. (d) Anterior regions of Branchiomma bairdi (dorsal view) and Laonome calida (ventral view, stained with methylene blue); arrows indicate faecal grooves. (e) Faecal groove inversion in Branchiomma bairdi: faecal groove runs ventrally in abdomen and dorsally in thorax. (f) SEM image of flat trumpet-shaped abdominal chaetae in Serpula columbiana. (g) Arrows indicate opercula funnels in Hydroides malleolaspinus and Hydroides tuberculatus. (h) Arrow indicates glandular girdle on chaetiger 2 of Euchone variabilis, stained with methylene blue. (i) Arrows indicate handles of acicular thoracic uncini in Euchone limnicola (left) and avicular thoracic uncini in Bispira manicata (right, stained with methyl green). All scales in mm.
Figure 3 in A graphically illustrated glossary of polychaete terminology: invasive species of Sabellidae, Serpulidae and Spionidae
Figure 3. (a) Cirriform pygidium of Pygospio elegans, stained with methyl green; arrow points to a cirrus. (b) Companion chaetae (arrows) as parallel row anterior to thoracic uncini in Sabella spallanzanii (left) and Bispira manicata (right, stained with methylene blue). (c) Arrows point to collar flaps in Laonome calida (left) and Spirobranchus cariniferus (right), both stained with methylene blue. (d) Collar/thoracic regions of Laonome triangularis (left, stained with methylene blue) and Ficopomatus enigmaticus (right); arrows point to collar chaetae. (e) Collar segments indicated by different arrows in (left to right, respectively) Branchiomma galei, Laonome triangularis (stained with methylene blue) and Spirobranchus cariniferus (stained with methylene blue). (f) Constrictions, indicated by arrows, occurring below funnels in opercula of Hydroides malleolaspinus and Hydroides minax. (g) Constriction, indicated by arrow, in upper shaft of neuropodial hooks of Polydora uncinata. (h) Opercula of Spirobranchus polytrema, S. cariniferus and S. tetraceros (left to right, respectively); arrows indicate distal wings. All scales in mm.
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.