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zenodo28/100

Figure 8 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Figure 8 Macropodia czernjawskii. Male (ZMMU Ma 3543), right gonopod . a. Pleonal view. b. Sternal view. Scale bar: 1 mm.

opencc-by-4.0Sep 2020View details →
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Figure 12 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Figure 12 Phylogenetic relationships of Macropodia spp. based on partial sequence of the COI gene, obtained using Bayesian inference. Tips of the tree colored according to their morphological identification. Numbers above the branches are the posterior probabilities.

opencc-by-4.0Sep 2020View details →
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Figure 10 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Figure 10 Natural habitats of Macropodiz czernjawskii in the Black Sea. a, b. Male (ZMMU Ma 3549) in Cystoseira sp., on rock, Tuaphat coastal rock masif, near Gelendzhik. c. Male (ZMMU Ma 3547), on sand, of Blagoveschenskaya village, near Anapa. d. Specimen collected of Blagoveschensakya in aquarium, decorated with red algae after few days of keeping. e. A characteristic biotope of M. czernjawskii in Tuaphat. f. Biotope in Kazachya Cove, Crimean Peninsula where M. czernjawskii has been repeatedly observed. Photographs by SE Anosov.

opencc-by-4.0Sep 2020View details →
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Figure 1 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Figure 1 Study area and the original records of Macropodia czernjawskii in the Black Sea presented in this study.

opencc-by-4.0Sep 2020View details →
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Figure 11 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Figure 11 Estimates of evolutionary divergence over sequence pairs within and between species of Macropodia (M. czernjawskii; M. rostrata – M. parva; M. tenuirostris – M. longipes; the latter two pairs and M. parva, M. rostrata – Macropodia sp. are indicated as "?", meaning their possible conspecificity); and between genera of Majoidea. The number of base substitutions per site from averaging over all sequence pairs between groups are shown. Analyses were conducted using the Kimura 2-parameter mode. For values of K2P see also Table 3.

opencc-by-4.0Sep 2020View details →
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Supplementary material 1 from: Spiridonov VA, Simakova UV, Anosov SE, Zalota AK, Timofeev VA (2020) Review of Macropodia in the Black Sea supported by molecular barcoding data; with the redescription of the type material, observations on ecology and epibiosis of Macropodia czernjawskii (Brandt, 1880) and notes on other Atlanto-Mediterranean species of Macropodia Leach, 1814 (Crustacea, Decapoda, Inachidae). Zoosystematics and Evolution 96(2): 609-635. https://doi.org/10.3897/zse.96.48342

Table S1

opencc-zeroSep 2020View details →
zenodo28/100

Synthetic and real datasets for "Seismic source tracking with six degree-of-freedom ground motion observations"

<p>Synthetic&nbsp;datasets for&nbsp;the 2D and 3D rupture tracking and real datasets for the&nbsp;traffic noise&nbsp;tracking&nbsp;used in the manuscript &quot;Seismic source tracking with six degree-of-freedom ground motion observations&quot;. The README file describes the data structures.</p>

opencc-by-4.0Sep 2020View details →
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NOx Emission Changes over China during the COVID-19 Epidemic Inferred from Surface NO2 Observations

<p><strong>obs_assimilation.csv </strong>and<strong> obs_verification.csv </strong>include assimilated and verified observations from 7 January ~ 29 February 2020, respectively.</p> <p><strong>emission.tar.gz</strong> includes inferred daily posterior NO<sub>x</sub> emissions from 10 January ~ 29 February 2020.</p>

opencc-by-4.0May 2020View details →
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Figure 3 from: Chaplynska N, Rudnyk V, Skrypnyk L, Matkovska N (2020) Clinical observation of generalized sarcoidosis with damage of bones. Pharmacia 67(4): 193-197. https://doi.org/10.3897/pharmacia.67.e54473

Figure 3 Swelling of the middle phalanx of the third finger of the right hand of the patient M., born 1987.

opencc-by-4.0Oct 2020View details →
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Figure 5 from: Chaplynska N, Rudnyk V, Skrypnyk L, Matkovska N (2020) Clinical observation of generalized sarcoidosis with damage of bones. Pharmacia 67(4): 193-197. https://doi.org/10.3897/pharmacia.67.e54473

Figure 5 Spiral computed tomography of the thoracic organs of patient M., born 1987, made on 20.06.2017: a – chaotically located, multiple of different size dense foci in both lungs; b –calcified and enlarged all groups of lymph nodes of the mediastinum and the roots of the lungs.

opencc-by-4.0Oct 2020View details →
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Figure 4 from: Chaplynska N, Rudnyk V, Skrypnyk L, Matkovska N (2020) Clinical observation of generalized sarcoidosis with damage of bones. Pharmacia 67(4): 193-197. https://doi.org/10.3897/pharmacia.67.e54473

Figure 4 Destructive changes in the middle phalanx of the third finger of the right hand on radiograph (a) and computed tomography of the right hand.

opencc-by-4.0Oct 2020View details →
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Files to retrieve effective radius and extinction coefficient in liquid clouds from depolarization observations at two FOVs

<pre>Files needed to retrieve the effective radius and cloud extinction coefficient at 75 meters above liquid clouds, assumed as subadiabatic, using observations of \delta_in and delta_rat as explained in acp-2020-473. The FOVs considered are FOV_in=1.0 mrad and FOV_in=2.0 mrad. The files Input_alpha_75.txt and Input_r75.txt contain respectively the input values of the extinction and effective radius (at 75m above CB). 235 input values of alpha_75 and 122 values of r_75. The file Polynomial_coeff_r75_vs_depol_rat_all_cloud-bases.txt contains the coefficients of a ciubic polynom to compute the effective radius using observations of delta_rat. These set of 4 coefficients is provided for all 8 cloud base heights, having a size of 4x8. The files matrix_alpha_vs_depolin_and_r75_XXXX.txt, with XXXX the cloud base in meters (varying from 1000 to 5000 meters), provide each matrix of size 235x122 containing the value of the simulated integrated depolarizaiton ratio at the FOV in (i.e delta_in in acp-2020-473), for the given 235 input-values of alpha_75 (provided in the File Input_alpha_75.txt) and given 122 values of r_75 (provided in File Input_r75.txt). This matrix shall be used to determine alpha_75 after knowing r_75 and depol_in. </pre>

opencc-by-4.0Oct 2020View details →
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Observational data obtained with the use of the wide band radio interferometer

<p>CSV file in attachment contains two columns: &quot;Time counted from the return stroke, ms&quot; and &quot;ADC output, V&quot;. This experimental data was received in the Nizhny Novgorod region of Russian Federation on May 15, 2019 with the use of the wide band radio interferometer. It can be used to obtain a waveform of the radio signal provided by the registered thundercloud radioactivity.&nbsp;</p>

opencc-by-4.0Oct 2020View details →
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GBIF custom download of all ocean data from: Establishing the foundation for the global observing system for marine life

<p>This archive has 3&nbsp;files:&nbsp;</p> <p>ocean_map.pdf - A map of&nbsp;coastal and marine records used to filter GBIF datasets.</p> <p>citations.txt - a list of citation descriptions of all of the datasets used in the export.&nbsp;</p> <p>ocean_datasets_export.tsv -&nbsp;GBIF custom export from&nbsp;4 August 2020</p> <ul> <li>datasetkey : GBIF datasetkey&nbsp;</li> <li>datasetname : GBIF dataset name</li> <li>publisher : GBIF publisher name</li> <li>publishingorgkey : GBIF publisher key</li> <li>ocean_occ_count : How many occurrences occurred in the ocean</li> <li>occ_count_total : Total occurrences in the ocean&nbsp;</li> <li>number_of_years : Number of years the dataset&nbsp;published occurrences</li> <li>unique_years : Unique values of published years separated by ;</li> <li>percent_in_ocean : Percentage of dataset&#39;s occurrences that fall within the polygons from ocean_map.pdf</li> <li>is_sampling_event : is the dataset marked as a sampling event dataset by GBIF?&nbsp;</li> <li>is_obis : is the dataset published by OBIS?&nbsp;</li> <li>is_past_10_years : has the dataset been published in the last 10 years?&nbsp;</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Dec 2019View details →
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Supplementary material 5 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Figure S4

opencc-zeroNov 2020View details →
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Supplementary material 2 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Figure S1

opencc-zeroNov 2020View details →
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Supplementary material 1 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Tables S1–S8

opencc-zeroNov 2020View details →
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Figure 6 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Figure 6 Stacked frequency histograms of the diurnal A facultative low-light B and obligate low-light C bee species by the climate in which they were most frequently collected. Unknowns represent the species that could not be identified reliably to species or, in the case of two low-light species, those with no reliable coordinates (Suppl. material 6: Fig. S5). Patterned bars represent 'diurnal' species that were associated with facultative species, according to our PCA analyses (Fig. 4, Table 2); these species are indicated twice once in (A) and once in (B). Bolded numbers indicate the behavioural assignment of species without reassigning behavioural state according to PCA results (Table 1), numbers with asterisks indicate values according to PCA assignment (Table 2).

opencc-by-4.0Nov 2020View details →
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Figure 4 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Figure 4 Principal components one and two of A female and B male bees where symbols indicate family (Apidae: circles, Colletidae: triangles, Halictidae: squares, Megachilidae: crosses and Stenotritidae crossed-squares) and colour indicates known foraging behaviour (diurnal: red, facultative low-light: green and obligate low-light: blue). Measurements are defined in Fig. 1. Plots A and B indicate relative factor loadings for the morphological traits as vectors from the centroid. Discriminant scores for both C female and D male analyses for each behavioural group showing means and 95% confidence intervals.

opencc-by-4.0Nov 2020View details →
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Supplementary material 4 from: Dorey JB, Fagan-Jeffries EP, Stevens MI, Schwarz MP (2020) Morphometric comparisons and novel observations of diurnal and low-light-foraging bees. Journal of Hymenoptera Research 79: 117-144. https://doi.org/10.3897/jhr.79.57308

Figure S3

opencc-zeroNov 2020View details →

ScienceDex guides

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

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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

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