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zenodo32/100

FIGURE 2. A in Venezuelan geckos (Gekkonidae, Phyllodactylidae, Sphaerodactylidae) in the collection of the Universidad de Concepción in Chile, with description of the type series of Gonatodes ligiae and Gonatodes petersi (Sphaerodactylidae)

FIGURE 2. A: Gonatodes albogularis. A common species in Northern Venezuela and Colombia, now introduced to many areas where it formerly was unknown. Male. La Acequia, estado Barinas. B: Gonatodes ceciliae, male. A gorgeous species endemic to the Península de Paria; Macuro, estado Sucre, described by RDB. C: Gonatodes humeralis. One of the most widespread geckos in South America. Male. Imataca, estado Bolívar. D: Gonatodes seigliei, male. Another beautiful species described by RDB, from Cueva del Guácharo, estado Monagas. E: Gonatodes taniae, female. An endemic species from the central Cordillera de la Costa in Northern Venezuela. Rancho Grande, estado Aragua. F: Gonatodes vittatus, male. Common species in dry areas, Coro, estado Falcón. Photos by C. L. Barrio-Amorós.

opennotspecifiedDec 2016View details →
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FIGURE 5 in Venezuelan geckos (Gekkonidae, Phyllodactylidae, Sphaerodactylidae) in the collection of the Universidad de Concepción in Chile, with description of the type series of Gonatodes ligiae and Gonatodes petersi (Sphaerodactylidae)

FIGURE 5. Detail of the supra humeral ocelli on the holotype of Gonatodes ligiae. Photo by Juan Pablo Donoso.

opennotspecifiedDec 2016View details →
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FIGURE 4. Gonatodes ligiae. A in Venezuelan geckos (Gekkonidae, Phyllodactylidae, Sphaerodactylidae) in the collection of the Universidad de Concepción in Chile, with description of the type series of Gonatodes ligiae and Gonatodes petersi (Sphaerodactylidae)

FIGURE 4. Gonatodes ligiae. A: Holotype, dorsal view; B: holotype, ventral view. C: allotype, dorsal view; D: allotype, ventral view. Not to scale. Photos by Juan Pablo Donoso.

opennotspecifiedDec 2016View details →
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FIGURE 1. A in Venezuelan geckos (Gekkonidae, Phyllodactylidae, Sphaerodactylidae) in the collection of the Universidad de Concepción in Chile, with description of the type series of Gonatodes ligiae and Gonatodes petersi (Sphaerodactylidae)

FIGURE 1. A: Hemidactylus mabouia. An introduced African species. Common in all cities of Venezuela. B: Hemidactylus palaichtus, a native species, displaying sexual dimorphism; male left, female right. Río Caura, estado Bolívar. C: Phyllodactylus ventralis, a common species in dry habitats of northern Venezuela and Colombia. Coro, estado Falcón. D: Thecadactylus rapicauda, the largest South American gecko. Sierra de Lema, estado Bolívar. Photos by C. L. Barrio-Amorós.

opennotspecifiedDec 2016View details →
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FIGURE 1 in On the taxonomic validity of Pristimantis tepuiensis (Schlüter & Rödder, 2007) and P. stegolepis (Schlüter & Rödder, 2007), with remarks on the type series of P. guaiquinimensis (Schlüter & Rödder, 2007)

FIGURE 1. Dorsum of the holotype of Pristimantis stegolepis (SMNS 8006.1) showing a slightly granular skin. Photograph by Philippe J. R. Kok.

opennotspecifiedJul 2013View details →
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FIGURE 3 in On the taxonomic validity of Pristimantis tepuiensis (Schlüter & Rödder, 2007) and P. stegolepis (Schlüter & Rödder, 2007), with remarks on the type series of P. guaiquinimensis (Schlüter & Rödder, 2007)

FIGURE 3. Right lateral views of part of the head of (A) holotype of Pristimantis tepuiensis (SMNS 8005.1) showing the presence of supratympanic granules; (B) paratype of P. guaiquinimensis (SMNS 8004.2) showing the presence of similar, but flat and less visible supratympanic granules. Photographs by Philippe J.R. Kok.

opennotspecifiedJul 2013View details →
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FIGURE 4 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation

FIGURE 4. Capture localities of the species used in the molecular analyses and of the primary types of P. crassiceps and P. atlantica.

opennotspecifiedDec 2023View details →
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FIGURE 3 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation

FIGURE 3. Maximum-Likelihood COI phylogram of selected Poromitra species. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) is shown as a dot at branch nodes; bootstrap values smaller than 60% are not indicated. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. Scale bar represents the mean number of nucleotide substitutions per site

opennotspecifiedDec 2023View details →
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FIGURE 1 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation

FIGURE 1. Günther's (1887) extant specimens of Scopelus crassiceps: (a) BMNH 1887.12.7.6, 50.2 mm SL, paralectotype, off Pernambuco, Brazil, Challenger station 120; (b) BMNH 1887.12.7.8, 57.6 mm SL, NE of New Guinea, Challenger station 220; (c) BMNH 1887.12.7.7, lectotype, 146.0 mm SL, between Prince Edward and Crozet islands, Challenger station 146.

opennotspecifiedDec 2023View details →
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FIGURE 2 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation

FIGURE 2. Type series of Poromitra atlantica: (a) paratypes, BMNH 1930.1.12.1012–1013, NE of South Georgia Island; (b) paratype, BMNH 1930.1.12.1014, South Atlantic; (c) holotype, BMNH 1930.1.12.1010 and (d) paratype, BMNH 1930.1.12.1011, both W of Cape Town.

opennotspecifiedDec 2023View details →
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Agricultural land use (raster) : National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021)

<p>The dataset contains maps of the main classes of agricultural land use (dominant crop types and other land use types) in Germany, which are produced annually at the Th&uuml;nen Institute beginning with the year 2017 on the basis of satellite data. The maps cover the entire open landscape, i.e., the agriculturally used area (UAA) and e.g., uncultivated areas. The map was derived from time series of Sentinel-1, Sentinel-2, Landsat 8 and additional environmental data. Map production is based on the methods described in <a href="https://doi.org/10.1016/j.rse.2021.112831">Blickensd&ouml;rfer et al. (2022)</a>.</p> <p>All optical satellite data were managed, pre-processed and structured in an analysis-ready data (ARD) cube using the open-source software <a href="https://force-eo.readthedocs.io/en/latest/">FORCE </a>- Framework for Operational Radiometric Correction for Environmental monitoring (Frantz, D., 2019), in which SAR and environmental data were integrated.</p> <p>The map extent covers all areas in Germany that are defined in the respective year as cropland, grassland, small woody features, heathland, peatland or unvegetated areas according to ATKIS Basis-DLM (Geobasisdaten: &copy; GeoBasis-DE / BKG, 2020).&nbsp;</p> <p>Version v201:<br>Post-processing of the maps included a sieve filter as well as a ruleset for the reduction of non-plausible areas using the Basis-DLM and the digital terrain model of Germany (Geobasisdaten: &copy; GeoBasis-DE / BKG, 2015).</p> <p>Version v202:<br>Additional post-processing was performed to detect and mask additional non-plausible areas that were not adequately covered by the first post-processing (e.g., areas with sparse vegetation, montane forests) based on the &bdquo;&Ouml;kosystematlas Deutschland&ldquo; (&copy; Statistisches Bundesamt, Deutschland, 2024). As a consequence, the current version includes a new class &ldquo;Small woody features on other land&rdquo;. Furthermore, the class "permanent grassland" was refined. Each pixel that was classified as "cultivated grassland" in at least five years (between 2017 and 2022) was translated to "permanent grassland" in the annual maps.</p> <p>The maps are available as cloud optimized GeoTiffs, which makes downloading the full dataset optional. All data can directly be accessed in QGIS, R, Python or any supported software of your choice using the provided URL to the datasets (right click on the respective data set --&gt; &ldquo;copy link address&rdquo;). By doing so the entire map area or only the regions of interest can be accessed. QGIS legend files for data visualization can be downloaded separately.</p> <p>Class-specific accuracies for each year are provided in the respective tables. We provide this dataset "as is" without any warranty regarding the accuracy or completeness and exclude all liability.&nbsp;</p> <p>&nbsp;</p> <p><strong>References:<br></strong><br><em>Blickensd&ouml;rfer, L., Schwieder, M., Pflugmacher, D., Nendel, C., Erasmi, S., &amp; Hostert, P. (2022). Mapping of crop types and crop sequences with combined time series of Sentinel-1, Sentinel-2 and Landsat 8 data for Germany. Remote Sensing of Environment, 269, 112831.</em></p> <p><em>BKG, Bundesamt f&uuml;r Kartographie und Geod&auml;sie (2015). Digitales Gel&auml;ndemodell Gitterweite 10 m. DGM10. https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/dgm10.pdf (last accessed: 28. April 2022).</em></p> <p><em>BKG, Bundesamt f&uuml;r Kartographie und Geod&auml;sie (2020). Digitales Basis-Landschaftsmodell. </em><br><em>https://sg.geodatenzentrum.de/web_public/gdz/dokumentation/deu/basis-dlm.pdf (last accessed: 28. April 2022).</em></p> <p><em>Frantz, D. (2019). FORCE&mdash;Landsat + Sentinel-2 Analysis Ready Data and Beyond. Remote Sensing, 11, 1124.</em></p> <p><em>Statistisches Bundesamt, Deutschland (2024). &Ouml;kosystematlas Deutschland <br>https://oekosystematlas-ugr.destatis.de/ (last accessed: 08.02.2024).</em></p> <p>___________________________________________________________________________<br>National-scale crop type maps for Germany from combined time series of Sentinel-1, Sentinel-2 and Landsat data (2017 to 2021) &copy; 2024 by Schwieder, Marcel; Tetteh, Gideon Okpoti; Blickensd&ouml;rfer, Lukas; Gocht, Alexander; Erasmi, Stefan; &nbsp;licensed under CC BY 4.0.&nbsp;</p> <p>Funding was provided by the German Federal Ministry of Food and Agriculture as part of the joint project &ldquo;Monitoring der biologischen Vielfalt in Agrarlandschaften&rdquo; (<a href="https://www.agrarmonitoring-monvia.de/en/">MonViA</a>, Monitoring of biodiversity in agricultural landscapes).</p> <p>The study was financially supported by the European Environment Agency and the European Union&rsquo;s Horizon Europe Research and Innovation programme under Grant Agreement No 101060423 (LAMASUS).</p>

opencc-by-4.0Feb 2024View details →
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FIGURE 3 in Deciphering a hundred-year-old puzzle: the type series of Bryconamericus exodon (Characiformes: Characidae)

FIGURE 3. Type specimens of Bryconamericus exodon, A) Holotype, MCZ 29909, 39.4 mm SL, B) Paratype, MCZ 174232 32.9 mm SL, erroneusly catalogued with the holotype and still listed in CAS 39565, both from Puerto Max; C) Paratype, BMNH 1909.6.15.11, 20.0 mm SL, collected in Assunción.

opennotspecifiedOct 2021View details →
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FIGURE 2 in Deciphering a hundred-year-old puzzle: the type series of Bryconamericus exodon (Characiformes: Characidae)

FIGURE 2. Original labels associated to MCZ 29909, middle left with Carl Eigenmann's handwriting specifically stating "Send to Harvard"; Bottom right stating "29909 (2sp) Cotypes/Bryconamericus exodon/Puerto Max on the Paraguay, Eigenmann/Indiana University".

opennotspecifiedOct 2021View details →
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Distribution. NW Argentina (NW Rioja), known only from the Sierra de Famatina, the type series was from 35 km N of Nevado de Famatina Mt. in Abrocomidae

Distribution. NW Argentina (NW Rioja), known only from the Sierra de Famatina, the type series was from 35 km N of Nevado de Famatina Mt.

opennotspecifiedJul 2016View details →
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Figure 5 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)

Figure 5. Principal component analysis scatter plot based on Fourier coefficients of the shell contours of Parreysia corrugata and Potomida semirugata: (а) PC1 vs PC2; and (b) PC2 vs PC4. The smaller circles indicate recent samples of the two species (see the legend). The stars indicate the paralectotypes of P. corrugata (the incongruent one is red), and the diamond indicates the lectotype of this species (NHMD 916309). The violet circle indicates the shell picture published by Chemnitz (1782, pl. 3, fig. 22a), and the yellow circle indicates the shell picture published by Müller (1779, pl. 3b, fig. 7). The coloured lines enclose 95% confidence ellipses. The PC1 axis describes 70.5%, the PC2 axis describes 8.3%, and PC4 describes 5.7% of the total variation. Synthetic outlines of the 'extreme' shell morphotypes are shown on four sides of the scatter plot. Information on shell lots and pictures used in the analyses is given in Supplementary data set 1.

opennotspecifiedJul 2022View details →
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Figure 4 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)

Figure 4. Shells of Potomida semirugata, including the incongruent paralectotype of the composite taxon Parreysia corrugata: (a) NHMD 916687 (formerly NHMD 916310: larger shell; paralectotype of P. corrugata): collecting locality unknown (outer view of the right valve and inner view of the left valve); (b) the same shell (vice versa); (c) USNM 85182: Bagdad, Iraq (outer view of the right valve and inner view of the left valve); (d) the same shell (vice versa); (e) USNM 85856: Emesi, Lake Homs, River Orontes, Northern Syria (outer view of the left valve and inner view of the right valve); (f) RMBH biv 309/1: Karasu River, Orontes Basin, Hatay Province, Turkey. Scale bar = 10 mm. (Photos: Tom SchiØtte [a,b], NMNH collection database under a CC0 1.0 licence [c–e], and Ilya Vikhrev [f]).

opennotspecifiedJul 2022View details →
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Figure 2 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)

Figure 2. The lectotype of Parreysia corrugata (shell lot NHMD 916309; designated in this study). (a,b) Possible historical pictures of the lectotype: (a) outer view of the left valve (Müller 1779, pl. 3b, fig. 7); and (b) inner view of the left valve (Müller 1779, pl. 3b, fig. 8). (c–f) Photos of the lectotype: (c) outer view of the left valve; (d) outer view of the right valve; (e) inner view of the left valve; and (f) inner view of the right valve. (g) Old (nineteenth century) label of the lectotype. Scale bar = 10 mm. (Photos: Tom SchiØtte).

opennotspecifiedJul 2022View details →
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Figure 1 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)

Figure 1. Map of the Indian subcontinent (India and surrounding countries). The light green shading shows the Coromandel Coast, representing the vague type locality of Parreysia corrugata. The red star indicates Tranquebar (now Tharangambadi town), a former Danish colony on the Coromandel Coast, the name of which is written on the old (nineteenth century) labels of the type specimens. The map was created using ESRI ArcGIS 10 software (https://www.esri.com/arcgis); its topographic base was compiled with Natural Earth Free Vector and Raster Map Data (https://www.naturalearthdata.com) and Global Self-consistent Hierarchical High-resolution Geography (https://www.soest.hawaii.edu/ wessel/gshhg). (Map: Mikhail Y. Gofarov).

opennotspecifiedJul 2022View details →
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Figure 3 in Re-discovery of the type series of the Indian freshwater mussel Parreysia corrugata (O. F. Müller, 1774) with the designation of the lectotype (Bivalvia: Unionidae: Parreysiinae)

Figure 3. Paralectotypes of Parreysia corrugata. (a,b) Old (nineteenth century) labels of the paralectotypes: (a) paralectotype NHMD 916310; and (b) paralectotype NHMD 916311. (c–f) Paralectotype shells: (c) NHMD 916310 (outer view of the right valve and inner view of the left valve); (d) the same shell (vice versa); (e) NHMD 916311 (outer view of the right valve and inner view of the left valve); and (f) the same shell (vice versa). Scale bar = 10 mm. (Photos: Tom SchiØtte).

opennotspecifiedJul 2022View details →
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Hydromedusa Fabienna sphaerica Schuchert, 1996 video of living specien of type series

<p>Fabienna sphaerica Schuchert, 1996 living medusa of type series (most likely holotype)</p> <p>Family Magapiidae, Order Anthoathecata, Class Hydrozoa  Phylum Cnidaria</p> <p>date collected: 30.08.1994</p> <p>Location: New Zealand, Wellington, Seatoun; -41.3186 174.8303; depth 0-1 m.</p>

opencc-by-nc-nd-4.0Oct 2017View 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