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zenodo48/100

Mask at 300 m of water-body locations more than 5, 15 and 20 km distant from land

<p>Locations of water-body locations remote from land:&nbsp;This dataset is a latitude-longitude grid indicating&nbsp;the locations of water-body locations more distant from land than 5, 15 and 20 km. It is derived from Carrea et al., 2016, which in turn was derived from the ESA Climate Change Initiative for Land Cover Water Bodies product released in October 2014. 3 = distance greater than 20 km; &gt;=2 = distance greater than 15 km; &gt;=1 = distance greater than 5 km. Paper describing underlying distance-to-land dataset: Carrea, L., Embury, O., Merchant, C.J. (2016) Datasets related to inland water for limnology and remote sensing applications: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates. Geoscience Data Journal, 2(2). pp. 83-97. doi: https://doi.org/10.1002/gdj3.32. This work done within the project: ESA Climate Change Initiative Lakes, by University of Reading, UK. &nbsp;</p> <p>&nbsp;&#39;geospatial_lat_min&#39;: -90.0,\<br> &nbsp;&#39;geospatial_lat_max&#39;: 90.0,\<br> &nbsp;&#39;geospatial_lon_min&#39;: -180.0,\<br> &nbsp;&#39;geospatial_lon_max&#39;: 180.0,\<br> &nbsp;&#39;geospatial_lat_units&#39;: &#39;degrees_north&#39;,\<br> &nbsp;&#39;geospatial_lat_resolution&#39;: 0.0027777778,\<br> &nbsp;&#39;geospatial_lon_units&#39;: &#39;degrees_east&#39;,\<br> &nbsp;&#39;geospatial_lon_resolution&#39;: 0.0027777778,\<br> &nbsp;&#39;spatial_resolution&#39;: &#39;300m&#39;</p>

opencc-by-4.0Apr 2020View details →
zenodo48/100

Soil organic carbon content in x 5 g / kg at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution

<p>Soil organic carbon content in&nbsp;&times; 5 g / kg (to convert to % divide by 2) at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution. The maps are provided using&nbsp;Byte type&nbsp;to significantly reduce file size.&nbsp;Predicted from a global compilation of soil points. Also available for download:&nbsp;soil organic stock maps in&nbsp;in kg / m<sup>2</sup>&nbsp;(<a href="https://doi.org/10.5281/zenodo.1475453">https://doi.org/10.5281/zenodo.1475453</a>) and bulk density maps in kg / m<sup>3</sup>&nbsp;(<a href="https://doi.org/10.5281/zenodo.1475970">https://doi.org/10.5281/zenodo.1475970</a>). Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use:&nbsp;&nbsp;<a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code:&nbsp;<a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a>&nbsp;</li> <li>General questions and comments:&nbsp;<a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation&nbsp;option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>organic.carbon = variable: soil organic carbon content in x 5 g / kg,</li> <li>usda.6a1c = determination method: laboratory method code,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b10..10cm = vertical reference: 10 cm depth below surface,</li> <li>1950..2017 = time reference: period 1950&ndash;2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>

opencc-by-sa-4.0Oct 2018View details →
zenodo48/100

Soil organic carbon stock in kg/m2 for 5 standard depth intervals (0–10, 10–30, 30–60, 60–100 and 100–200 cm) at 250 m resolution

<p>Soil organic carbon stock in kg/m<sup>2</sup> for 5 standard depth intervals (0&ndash;10, 10&ndash;30, 30&ndash;60, 60&ndash;100 and 100&ndash;200 cm) at 250 m resolution. To convert to t/ha multiply by 10.&nbsp;Derived using soil organic carbon content (<a href="https://doi.org/10.5281/zenodo.1475457">https://doi.org/10.5281/zenodo.1475457</a>), bulk density (<a href="https://doi.org/10.5281/zenodo.1475970">https://doi.org/10.5281/zenodo.1475970</a>) and coarse fragments (<a href="https://doi.org/10.5281/zenodo.2525681">https://doi.org/10.5281/zenodo.2525681</a>), predicted from point data at 6 standard depths. Depth to bed rock has been ignored, hence total stocks might be about 10&ndash;15% lower then reported.&nbsp;Processing steps are described in detail <strong><a href="https://gitlab.com/openlandmap/global-layers/tree/master/soil">here</a></strong>. Antarctica is not included.</p> <p>To access and visualize maps use:&nbsp;<a href="https://openlandmap.org"><strong>https://openlandmap.org</strong></a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code:&nbsp;<a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a>&nbsp;</li> <li>General questions and comments:&nbsp;<a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation&nbsp;option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>organic.carbon.stock = variable: soil organic carbon stock in kg/m2,</li> <li>msa.kgm2 = determination method: derived from organic carbon content, bulk density and coarse fragments,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b0..10cm = vertical reference: 0-10 cm layer below surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.2 = version number: 0.2,</li> </ul>

opencc-by-sa-4.0Dec 2018View details →
zenodo44/100

Soil available water capacity in mm derived for 5 standard layers (0-10, 10-30, 30-60, 60-100 and 100-200 cm) at 250 m resolution

<p>Available Water Capacity (in mm) derived by calculating Water Retention Difference (difference between the field capacity and wilting point; see <a href="https://www.nrcs.usda.gov/wps/portal/nrcs/detail/soils/ref/?cid=nrcs142p2_054247">NRCS Soil Survey Laboratory Methods Manual</a>), and then summing up WRD for all standard layers (0&ndash;200 cm). Soil water content (volumetric) in percent for 33 kPa and 1500 kPa suctions predicted at 6 standard depths (0, 10, 30, 60, 100 and 200 cm) at 250 m resolution is available <a href="https://doi.org/10.5281/zenodo.2609113"><strong>here</strong></a>. These estimates ignore depth to bedrock i.e. existence of any impenetrable layer (total available capacity over the whole land mass is likely about 10&ndash;15% smaller).&nbsp;Antarctica is not included.</p> <p>To access and visualize some of the maps use:&nbsp;&nbsp;<a href="http://www.openlandmap.org/">OpenLandMap.org</a></p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a></li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using &quot;COMPRESS=DEFLATE&quot; creation option in GDAL. File naming convention:</p> <ul> <li>sol = theme: soil,</li> <li>available.water.capacity = available water capacity in mm,</li> <li>usda.mm = determination method: Water Retention Difference in mm,</li> <li>m = mean value,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>b0..10cm = vertical reference: 0-10 cm layer below surface,</li> <li>1950..2017 = time reference: period 1950-2017,</li> <li>v0.1 = version number: 0.1,</li> </ul>

opencc-by-nc-sa-4.0Apr 2019View details →
zenodo44/100

MAR-M-247 creep assessment through a modified theta projection model - Figures 2 and 5

<p>These two programs provide a way to rebuild the MAR-M-247 creep data presented in the paper:</p> <p>G. Maggiani, M.J. Roy, S. Colantoni, P.J. Withers, MAR-M-247 creep assessment through a modified theta projection model, Materialia, Volume 7, 2019, 100392, ISSN 2589-1529, https://doi.org/10.1016/j.mtla.2019.100392. http://www.sciencedirect.com/science/article/pii/S2589152919301887)<br> &nbsp;</p> <p>In Paper_Figure_2.m two coefficients of the paper itself are corrected and a comparison with what written in the paper and the corrected value is provided.&nbsp;One typo error for theta 1 at 982&deg;C and 140 MPa where 6.9 must be 1.9. The other is for 1038&deg;C 50 MPa theta4. In the paper it is written e^-11 while it actually should have been e^-10.</p> <p>Paper_Figure_5.m more decimal values are provided for the coefficients a, b, c and d that are used to rebuild the theta values.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Nov 2019View details →
zenodo44/100

Daily time series of spatially enhanced relative humidity for Europe at 1000 m resolution (Set 5: 2020 - 2021) derived from ERA5-Land data

<p>Overview:<br> ERA5-Land is a reanalysis dataset providing a consistent view of the evolution of land variables over several decades at an enhanced resolution compared to ERA5. ERA5-Land has been produced by replaying the land component of the ECMWF ERA5 climate reanalysis. Reanalysis combines model data with observations from across the world into a globally complete and consistent dataset using the laws of physics. Reanalysis produces data that goes several decades back in time, providing an accurate description of the climate of the past.</p> <p>Processing steps:<br> The original hourly ERA5-Land air temperature 2 m above ground and dewpoint temperature 2 m data has been spatially enhanced from 0.1 degree to 30 arc seconds (approx. 1000 m) spatial resolution by image fusion with CHELSA data (V1.2) (<a href="https://chelsa-climate.org/">https://chelsa-climate.org/</a>). For each day we used the corresponding monthly long-term average of CHELSA. The aim was to use the fine spatial detail of CHELSA and at the same time preserve the general regional pattern and fine temporal detail of ERA5-Land. The steps included aggregation and enhancement, specifically:<br> 1. spatially aggregate CHELSA to the resolution of ERA5-Land<br> 2. calculate difference of ERA5-Land - aggregated CHELSA<br> 3. interpolate differences with a Gaussian filter to 30 arc seconds<br> 4. add the interpolated differences to CHELSA</p> <p>Subsequently, the temperature time series have been aggregated on a daily basis. From these, daily relative humidity has been calculated for the time period 01/2000 - 07/2021.</p> <p>Relative humidity (rh2m) has been calculated from air temperature 2 m above ground (Ta) and dewpoint temperature 2 m above ground (Td) using the formula for saturated water pressure from Wright (1997):</p> <p><code>maximum water pressure = 611.21 * exp(17.502 * Ta / (240.97 + Ta))</code></p> <p><code>actual water pressure = 611.21 * exp(17.502 * Td / (240.97 + Td))</code></p> <p><code>relative humidity = actual water pressure / maximum water pressure</code></p> <p>Data provided is the daily averages of relative humidity. This set provides data for the years 2020 - 2021. For other time periods, please see further linked data sets.</p> <p>Resultant values have been converted to represent percent * 10, thus covering a theoretical range of [0, 1000].</p> <p>The data have been reprojected to EU LAEA.</p> <p>File naming scheme (YYYY = year; MM = month; DD = day):<br> <code>ERA5_land_rh2m_avg_daily_YYYYMMDD.tif</code></p> <p>Projection + EPSG code:<br> EU LAEA (EPSG: 3035)</p> <p>Spatial extent:<br> north: 6874000<br> south: -485000<br> west: 869000<br> east: 8712000</p> <p>Spatial resolution:<br> 1000 m</p> <p>Temporal resolution:<br> Daily</p> <p>Pixel values:<br> Percent * 10 (scaled to Integer; example: value 738 = 73.8 %)</p> <p>Software used:<br> GDAL 3.2.2 and GRASS GIS 8.0.0</p> <p>Original ERA5-Land dataset license:<br> <a href="https://apps.ecmwf.int/datasets/licences/copernicus/">https://apps.ecmwf.int/datasets/licences/copernicus/</a></p> <p>CHELSA climatologies (V1.2):<br> Data used: Karger D.N., Conrad, O., B&ouml;hner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E, Linder, H.P., Kessler, M. (2018): Data from: Climatologies at high resolution for the earth&#39;s land surface areas. Dryad digital repository. <a href="http://dx.doi.org/doi:10.5061/dryad.kd1d4">http://dx.doi.org/doi:10.5061/dryad.kd1d4</a><br> Original peer-reviewed publication: Karger, D.N., Conrad, O., B&ouml;hner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, P., Kessler, M. (2017): Climatologies at high resolution for the Earth land surface areas. Scientific Data. 4 170122. <a href="https://doi.org/10.1038/sdata.2017.122">https://doi.org/10.1038/sdata.2017.122</a></p> <p>Processed by:<br> mundialis GmbH &amp; Co. KG, Germany (<a href="https://www.mundialis.de/">https://www.mundialis.de/</a>)</p> <p>Reference: Wright, J.M. (1997): Federal meteorological handbook no. 3 (FCM-H3-1997). Office of Federal Coordinator for Meteorological Services and Supporting Research. Washington, DC</p> <p>Data is also available in Latitude-Longitude/WGS84 (EPSG: 4326) projection: <a href="http://https://doi.org/10.5281/zenodo.6344125">https://doi.org/10.5281/zenodo.6344125</a></p>

opencc-by-sa-4.0Dec 2022View details →
zenodo40/100

Fig. 5 in Integrative description of Macrobiotus canaricus sp. nov. with notes on M. recens (Eutardigrada: Macrobiotidae)

Fig. 5. Macrobiotus canaricus sp. nov., paratypes, claws. A–B. Claws III and IV seen under PCM. C–D. Claws I and IV seen under SEM. Arrowheads indicate faint muscle attachments under claws; Figs A and B assembled from several photos. Scale bars in μm.

opencc-by-4.0Jul 2018View details →
zenodo40/100

Fig. 5 in Genetic and morphological evidence for cryptic species in Macrobrachium australe and resurrection of M. ustulatum (Crustacea, Palaemonidae)

Fig. 5. Macrobrachium ustulatus (Nobili, 1899). – A–B, E. MNHN-IU-2013-13202. A. Cephalothorax. B. Epistome. E. Major second pereiopod finger. – C, G. MNHN-IU-2013-13201. C. Fourth thoracic sternite. G. Minor second pereiopod finger. – D, F. MNHN-IU-2013-13203. D. Major second pereiopod. F. Minor second pereiopod. Scale bars: A, E, G = 2 mm; B–C = 1 mm; D, F = 4 mm.

opencc-by-3.0Feb 2017View details →
zenodo40/100

Figs 1–5 in Morphology of two Mastogloia species (Bacillariophyta) from Lac de Guiers (Senegal) and comparison with the type material of M. braunii

Figs 1–5. Mastogloia braunii Grunow. Light micrographs (LM) of valves from the type population (Grunow 23583 – capsule 0645, Vienna, Austria). 1–3. LM views of 3 valves showing variation in valve size and shape. The arrows in Fig. 2 indicate shortened striae near the central area. 3–4. Same valve taken at different foci. 4–5. LM views of the partectal ring with the partecta. Scale bar: 10 μm.

opencc-by-3.0Dec 2017View details →
zenodo40/100

FIG. 5. — Dendrobium veillonii M in Une espèce nouvelle du genre Dendrobium Sw. (Orchidaceae) de Nouvelle-Calédonie et une clé pour la section Kinetochilus Schltr.

FIG. 5. — Dendrobium veillonii M. Pignal, sp. nov.: A, B, fleur; A, face, 29.VII.2018; B, profil, 25.VIII.2018; C, gaine fendue laissant passer l'inflorescence, tige, 25.VIII.2018; D, fruit; E, plantule adventive (keiki), 25.VIII.2018; F, tige et feuilles faces adaxiales, 25.VIII.2018; G, inflorescence, 21.VIII.2018; H, tige et feuilles faces abaxiales, 25.VIII.2018; I, feuille face abaxiale, 10.XI.2018; J, fruit détail, 25.VIII.2018. Toutes les photos sont issues d'une culture à Nouméa, provenant de la concession Cornwall à Tiébaghi. Échelles: A, B, longueur du pétale: 5 mm; C, E, F, largeur de la tige: 5 mm; G, H, I, longueur de la feuille: 22 mm; D, J, longueur du fruit: 13 mm.

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

Fig. 5. Begonia halabanensis M in Further discoveries in the ever-expanding genus Begonia (Begoniaceae): fifteen new species from Sumatra

Fig. 5. Begonia halabanensis M.Hughes sp. nov. A. Holotype [Meijer 7550 (L)]. B. Portion of leaf lamina underside showing margin hairs and recurved teeth. C. Anthers. D. Fruit. E. Male flower. Drawings by M. Hughes.

opencc-by-3.0Dec 2015View details →
zenodo40/100

FIGURE 5 in Diaphorodoris alba Portmann & Sandmeier, 1960 is a valid species: molecular and morphological comparison with D. luteocincta (M. Sars, 1870) (Gastropoda: Nudibranchia)

FIGURE 5. The tree portrays the phylogenetic relationships based on the H 3 + COI + 16 S combined dataset. Numbers at nodes are Bayesian posterior probability (pp., left) and ML bootstrap support (bs., right), respectively.

opencc-zeroDec 2016View details →
zenodo40/100

Figure 5 in A new bat species of the genus Myotis with comments on the phylogenetic placement of M. keaysi and M. pilosatibialis

Figure 5. Vector correlation coefficients (loadings) between original variables and discriminant functions (DF1, DF2),with jackknifed percentage of correctly classified specimens for each group. Samples:M. armiensis sp. n (circles), M. sp (triangles), M. oxyotus gardneri (+ symbol), M. keaysistr.(xsymbol), and M. pilosatibialis str.(diamonds).

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

Figure 5 in New Species of Melinna (Melinnidae, Annelida) from the Australian Abyss with Comments on M. albicincta, M. cristata and M. elisabethae

Figure 5. SEM of Melinna hamulus sp. nov. (AM W.53257.001). (A) Neurochaeta of chaetiger 10. (B) Neurochaetae of chaetiger 13. (C) Neurochaetae of chaetiger 13. (D) Notochaetae of chaetiger 13. (E) Anterior abdominal neurochaetae. (F) Close­up view of anterior abdominal neurochaetae. (G) Posterior abdominal neurochaetae. (H) Close­up view of posterior abdominal neurochaetae. Scale bars: A, C, F, H, 10 μm; B, 20 μm; D, 200 μm; E, G, 50 μm. Abbreviations: d, dentition; t, two tiers of notochaetae.

opencc-by-4.0May 2023View details →
zenodo40/100

FIG. 5. Didelphis virginiana TMM M-2517 in Transverse Canal Foramen And Pericarotid Venous Network In Metatheria And Other Mammals

FIG. 5. Didelphis virginiana TMM M-2517 (Didelphidae, Didelphimorphia), adult caudal cranium, selected coronal (A–H) and parasagittal (I–K) segments (data source, table 2). In A and B, note junction of rostral branches of transverse canals, communicating with but not enveloped by transverse basicranial sinus. Boundary between transverse basisphenoid sinus and regular diploe is gradational. In B–D, craniopharyngeal canal, of uncertain function, connects transverse canal junction with hypophyseal infundibular sulcus (see also I). In E, true caudal branches of transverse canals are absent; only short interstitial canaliculi represented. In J and K, pneumatized areas (possible additional sites of hematopoiesis) also seen in basioccipital and presphenoid). Key: AS, alisphenoid; BO, basioccipital; BS, basisphenoid; cc, carotid canal; cpc, craniopharyngeal canal; cpf, craniopharyngeal foramen; crp, cribriform plate; ctbs, caudal portion of transverse basisphenoid sinus; el, ethmoid labyrinth; encf, endocranial carotid foramen; encg, endocranial carotid groove; excf, exocranial carotid foramen; fm, foramen magnum; FR, frontal; his, hypophyseal infundibular sulcus; hpf, hypophyseal fossa; isc, interstitial canaliculus; junc, junction of transverse canals; junc + rtbs, combined junction and rostral transverse basisphenoid sinus; le, lateral extension of transverse basisphenoid

opencc-by-4.0Jun 2023View details →
zenodo40/100

FIGURE 5 in DARIO R. FAUSTINO-FUSTER, JEISSON A. LÓPEZ-CASTAÑO, JHONATAN M. QUIÑONES & VANESSA MEZA-VARGAS (2024) Increasing the species diversity of the monotypic genus Pariolius Cope 1872 (Siluriformes: Heptapteridae) after more than 150 years. Zootaxa, 5433 (3): 389-403.

FIGURE 5. Dorsal view of the complex anterior vertebra of (A) Pariolius pax, MPUJ 10047, paratype, 34.0 mm SL and (B) Pariolius maldonadoi, MPUJ 13077, paratype, 27.3 mm SL. Abbreviations of the anatomical parts: scl = supracleithrum; tri = tripus; trp4 = transverse process 4; trp5: transverse process 5 and vc6: sixth vertebral centrum.

opencc-by-4.0Apr 2024View details →
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РИС. 5. ИЗвестные находки Monacha cartusiana на Западе Украины. A. Анатомически проверенные авторами статьи. B. Определенные только по раковинам или беЗ учета анатомических раЗличий между M. cartusiana и M. claustralis. ИЗ­За масШтаба картосхем находки в блиЗко расположенных населенных пунктах объединены в одну точку. FIG. 5. Known records of Monacha cartusiana in Western Ukraine. A. Anatomically examined by the authors of this paper. B. Identifed only by shell or without regard to anatomical differences between M. cartusiana and M. claustralis. Due to the scale of the schematic maps, the findings in closely located settlements are combined into one point. in Monacha claustralis и M. cartusiana (Gastropoda, Hygromiidae) - два криптических вида антропохорных наЗемных моллюсков на Западе Украины

РИС. 5. ИЗвестные находки Monacha cartusiana на Западе Украины. A. Анатомически проверенные авторами статьи. B. Определенные только по раковинам или беЗ учета анатомических раЗличий между M. cartusiana и M. claustralis. ИЗ­За масШтаба картосхем находки в блиЗко расположенных населенных пунктах объединены в одну точку. FIG. 5. Known records of Monacha cartusiana in Western Ukraine. A. Anatomically examined by the authors of this paper. B. Identifed only by shell or without regard to anatomical differences between M. cartusiana and M. claustralis. Due to the scale of the schematic maps, the findings in closely located settlements are combined into one point.

opencc-by-4.0Mar 2022View details →
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РИС. 1. СмеШаннаЯ колониЯ Monacha claustralis и M. cartusiana во Львове. А. Местообитание, основные места сбора улиток отмечены красными крестиками. B. НеполовоЗрелаЯ особь на ветке туи. C. Раковины анатомически определенных M. claustralis. D. То же длЯ M. cartusiana. МасШтаб 5 мм. FIG. 1. Mixed colony of Monacha claustralis and M. cartusiana in Lviv. A. Habitat, the main places of snail collecting marked with red crosses. B. Immature specimen on a thuja branch. C. Shells of anatomically identified M. claustralis. D. The same for M. cartusiana. Scale bar 5 mm. in Monacha claustralis и M. cartusiana (Gastropoda, Hygromiidae) - два криптических вида антропохорных наЗемных моллюсков на Западе Украины

РИС. 1. СмеШаннаЯ колониЯ Monacha claustralis и M. cartusiana во Львове. А. Местообитание, основные места сбора улиток отмечены красными крестиками. B. НеполовоЗрелаЯ особь на ветке туи. C. Раковины анатомически определенных M. claustralis. D. То же длЯ M. cartusiana. МасШтаб 5 мм. FIG. 1. Mixed colony of Monacha claustralis and M. cartusiana in Lviv. A. Habitat, the main places of snail collecting marked with red crosses. B. Immature specimen on a thuja branch. C. Shells of anatomically identified M. claustralis. D. The same for M. cartusiana. Scale bar 5 mm.

opencc-by-4.0Mar 2022View details →
zenodo40/100

sal; W, visceral; X-Z, Pal. 1308 (costal 5); X, Y, dorsal; Z, visceral; A'-C', Pal. 1309 (costal 6); A', B', dorsal; C', visceral; D'-F', Pal. 1310 (costal 8); D', E', dorsal; F', visceral; G'-J', Pal. 1312 (peripheral 1); G', H', dorsal; I', J', visceral; K'-N', Pal. 1313 (peripheral 7); K', L', dorsal; M', N', visceral; O'-R', Pal. 1314 (peripheral 8); O', P', dorsal; Q', R', visceral views; S', reconstruction of carapace. Thick lines indicate to scute sulci, dotted lines sutures and oblique lines denote missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Ve, vertebral. Scale bars: 1 cm. in Fossil turtles from the early Miocene localities of Mokrá-Quarry (Burdigalian, MN4), South Moravian Region, Czech Republic

sal; W, visceral; X-Z, Pal. 1308 (costal 5); X, Y, dorsal; Z, visceral; A'-C', Pal. 1309 (costal 6); A', B', dorsal; C', visceral; D'-F', Pal. 1310 (costal 8); D', E', dorsal; F', visceral; G'-J', Pal. 1312 (peripheral 1); G', H', dorsal; I', J', visceral; K'-N', Pal. 1313 (peripheral 7); K', L', dorsal; M', N', visceral; O'-R', Pal. 1314 (peripheral 8); O', P', dorsal; Q', R', visceral views; S', reconstruction of carapace. Thick lines indicate to scute sulci, dotted lines sutures and oblique lines denote missing plate portions. Abbreviations: Ce, cervical; co, costal; Ma, marginal; ne, neural; nu, nuchal; per, peripheral; Pl, pleural; py, pygal; sp, suprapygal; Ve, vertebral. Scale bars: 1 cm.

opencc-zeroOct 2021View details →
zenodo40/100

Fig. 5. PrincipalComponentAnalysisbasedon 15 craniodentalcharactersof M in The Subspecies Of Myotis Montivagus - Taxonomic Revision And Species Limits (Mammalia: Chiroptera: Vespertilionidae)

Fig. 5. PrincipalComponentAnalysisbasedon 15 craniodentalcharactersof M. borneoensis (blackcircles), M. federatus (blacksquares), M. montivagus (emptysquares) and M. peytoni

opencc-by-4.0Mar 2013View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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