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opencc-by-4.0Oct 2024View details →

CS#1H Monitoring Data of Subsurface Passage in Managed Aquifer Recharge: Microbial and Organic Composition Analysis

<div>This dataset contains flow cytometry and cultivation-based microbial data, along with measurements of natural organic matter (NOM) characterized by fluorescence, absorbance, and liquid chromatography-organic carbon detection (LC-OCD) from CS#1H. Data were collected over a one-year monitoring period at two sampling locations: the infiltration ditch and the abstraction well. </div>

opencc-by-4.0Aug 2024View details →

Elemental and isotopic composition of bronze axes from Léon (France)

This dataset contains analyses of 31 copper-alloy axes from Léon (Landes, France). Material 31 copper-alloy axes were analyzed. Each artefact was weighed, photodocumented, and 3D digitized before sampling. Each artefact was sampled twice using a single-use saw blade. The first sample was taken from the heel of the axes, after which the surface was mechanically cleaned to remove surface corrosion. These samples were used to measure lead isotope ratios. The second sample, a few cubic millimeters in size, was taken from the edge of the blades. These micro-samples were mounted, then ground and polished to a 0.25 mm diamond finish to create a surface suitable for SEM-EDS analyses. Energy dispersive X-ray spectrometry The elemental composition of the samples was obtained by energy-dispersive X-ray fluorescence spectrometry using two Oxford Ultim Max 100 spectrometers, coupled with scanning electron microscopy imaging (JEOL JSM IT500HR variable-pressure microscope). Measurements were carried out under a partial vacuum (20 Pa) with an acceleration voltage of 20 kV to avoid charging phenomena. The acquisition time was 60 seconds per spectrum over the 0-20 keV energy range. For all EDS spectra, the dead time during acquisition was around 30%, with an average number of counts per spectrum greater than 106. Due to the presence of arsenic (As) and lead (Pb) in the same samples, the As L ray series and the Pb M ray series were used for EDS analyses to avoid line overlap with the As K ray series and Pb L ray series. Six measurements were carried out on each sample, with the area analyzed in each measurement being approximately 0.05 mm². For each sample, the compositional mean (Aitchison 1986) of the six measurements was used. Results are expressed as mass percentages, normalized to 100%. Values below 0.5% should be interpreted with caution, but they are retained in the general composition as they provide qualitative information. The file leon_elements.csv contains all elemental compositions, with the following columns: <ul> <li>code: sample reference.</li> <li>O,Mg,Al,Si,S,Fe,Ni,Cu,Zn,As,Sn,Pb: amounts (%)</li> </ul> Multi-collection mass spectrometry Lead isotope ratios were measured by multi-collection inductively coupled plasma mass spectrometry (MC-ICP-MS) at the Service d'Analyse des Roches et Minéraux (SARM) of the Centre de Recherches Pétrographiques et Géochimiques (UMR 7358 CRPG). Samples were weighed into 15 mL Savillex vial, and HNO3 was added. The solution was heated at 115°C for at least 72 hours, evaporated, then mixed with HCl and heated again for 24 hours or until the sample was completely dissolved. After evaporation, 1 mL of 0.8 M HBr was added to place the sample in the same medium as that used in the ion exchange column. Each sample was loaded onto approximately 50 microliters of AG1X8 resin in micro-columns (see Manhes et al. 1980), then 2 mL of 0.8 M HBr were used for elution. Lead was collected in 2 mL of 6M HCl (4 x 0.5 mL), dried, and redissolved in 1 mL of 0.5 M HNO3. Pb analyses were performed on an MC-ICP-MS (Neptune Plus, Thermo Electron) using Tl (NIST 997) as an external standard for mass bias (White, Albarède, and Télouk 2000). The Tl and Pb values used for NIST 981 are those of Thirlwall (2002). The file leon_isotopes.csv contains all lead isotopes ratios, with the following columns: <ul> <li>CRPG, BDX: sample references.</li> <li>Pb_206_204, Pb_206_204_error: 206Pb/204Pb ratio and error.</li> <li>Pb_207_204, Pb_207_204_error: 207Pb/204Pb ratio and error.</li> <li>Pb_208_204, Pb_208_204_error: 208Pb/204Pb ratio and error.</li> <li>Pb_207_206, Pb_207_206_error: 207Pb/206Pb ratio and error.</li> <li>Pb_206_207, Pb_206_207_error: 206Pb/207Pb ratio and error.</li> <li>Pb_208_206, Pb_208_206_error: 208Pb/206Pb ratio and error.</li> </ul>

opencc-by-4.0Jul 2021View details →

ChannelSet: a composite dataset of diverse acoustic environments

We introduce ChannelSet, a dataset which provides a launchpad for exploring the extraneous acoustic information typically suppressed or ignored in audio tasks such as automatic speech recognition. We combined components of existing publicly available datasets to encompass broad variability in recording equipment, microphone position, room or surrounding acoustics, event density (i.e., how many audio events are present), and proportion of foreground and background sounds. Source datasets include: the CHiME-3 background dataset, CHiME-5 evaluation dataset, AMI meeting corpus, Freefield1010, and Vystadial2016. ChannelSet includes 13 classes spanning various acoustic environments: Indoor_Commercial_Bus, Indoor_Commercial_Cafe, Indoor_Domestic, Indoor_Meeting_Room1, Indoor_Meeting_Room2, Indoor_Meeting_Room3, Outdoor_City_Pedestrian, Outdoor_City_Traffic, Outdoor_Nature_Birds, Outdoor_Nature_Water, Outdoor_Nature_Weather, Telephony_CZ, and Telephony_EN. Each sample is between 1 and 10 seconds in duration. Each class contains 100 minutes of audio, for a total of 21.6 hours, split into separate test (20%) and train (80%) partitions. Download includes scripts, metadata, and instructions for producing ChannelSet from source datasets.

opencc-by-4.0Apr 2020View details →

Dataset for "Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition" (doi.org/10.1016/j.fct.2020.111332)

Dataset corresponding to the following article: Ferreira, M., Larsen, B.K., Granby, K., Cunha, S.C., Monteiro, C., Fernandes, J.O., Nunes, M.L., Marques, A., Dias, J., Cunha, I., Castro, L.F.C., Valente, L.M.P., 2020. Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition. Food Chem. Toxicol. 140, 111332. <a href="https://doi.org/10.1016/j.fct.2020.111332">https://doi.org/10.1016/j.fct.2020.111332</a>

opencc-by-4.0Aug 2021View details →

Elucidating the present-day chemical composition, seasonality and source regions of climate-relevant aerosols across the Arctic land surface

Data presented in the figures of the journal article "Elucidating the present-day chemical composition, seasonality and source regions of climate-relevant aerosols across the Arctic land surface" by Moschos et al.

opencc-by-4.0Jun 2006View details →

Figure 3 in Botanical composition and structure of hummingbird nests in different habitats from northwestern Patagonia (Argentina)

Figure 3. (a, b) Nests of the Green-backed Firecrown Sephanoides sephaniodes: (a) inner cup showing pappi as lining material; (b) nest collected from an urban site, with manufactured cotton in the outer layer. (c, d) Nest of White-sided Hillstar Oreotrochilus leucopleurus: (c) lateral view of nest covered by sheep's wool and feathers (reference in cm); (d) upper view, the cup opening is hardly noticeable due to soft materials present. Photographs: the authors.

opencc-by-4.0Jun 2006View details →

Figure 1. Study area and collections sites. A in Botanical composition and structure of hummingbird nests in different habitats from northwestern Patagonia (Argentina)

Figure 1. Study area and collections sites. A, Puerto Blest; B, Saltillo las Nalcas; C, Llao-Llao; D, Cascada la Virgen on Route 258; E, northern margin of Lake Moreno; F, downtown Bariloche city; G, Arroyo Verde in Villa Traful; H, Leleque; I, Lake Queñi.

opencc-by-4.0Jun 2006View details →

Figure 2 in Botanical composition and structure of hummingbird nests in different habitats from northwestern Patagonia (Argentina)

Figure 2. Nests of the Green-backed Firecrown Sephanoides sephaniodes. (a) Incubating female sitting in a nest camouflaged in a dense bamboo thicket; (b) upper view of an active nest; (c) nest showing lateral attachment to substrate, and pieces of bamboo leaves in the outer layer; (d) bulky nest built on a pre-existent cup. Photographs: (a, b) L. Sympson; (c, d) the authors.

Figure 5 in Composition of meiobenthonic Platyhelminthes from brackish environments of the Galician and Cantabrian coasts of Spain with the description of a new species of Djeziraia (Polycystididae, Kalyptorhynchia)

Figure 5. Percentage of turbellarians in relation to the substrate type. M, muddy; S, sandy; SG, sandy-gravel; SM, sandy-muddy; SST, sandy-stony; ST, stony.

Figure 4 in Composition of meiobenthonic Platyhelminthes from brackish environments of the Galician and Cantabrian coasts of Spain with the description of a new species of Djeziraia (Polycystididae, Kalyptorhynchia)

Figure 4. Number of turbellarians found in relation to the water temperature (black bars) and to the concentration of dissolved oxygen in the samples (grey bars) (the samples without dissolved oxygen and temperature data were not considered).

Figure 1 in Composition of meiobenthonic Platyhelminthes from brackish environments of the Galician and Cantabrian coasts of Spain with the description of a new species of Djeziraia (Polycystididae, Kalyptorhynchia)

Figure 1. Location of the sample sites, with turbellarians (black points) and without turbellarians (white circles). The locality numbers correspond to those given in Tables I–III.

Figure 3 in Composition of meiobenthonic Platyhelminthes from brackish environments of the Galician and Cantabrian coasts of Spain with the description of a new species of Djeziraia (Polycystididae, Kalyptorhynchia)

Figure 3. Number of turbellarians found in relation to the conductivity and to the salinity (conductivity data of the brackish localities were not considered, because they were punctual measurements).

Figure 2 in Composition of meiobenthonic Platyhelminthes from brackish environments of the Galician and Cantabrian coasts of Spain with the description of a new species of Djeziraia (Polycystididae, Kalyptorhynchia)

Figure 2. Djeziraia longistyla sp. nov. (A) General organization in dorsal view (from the living animal); (B) atrial organs; (C) stylet (photograph from the living animal). b, bursa; cg, caudal glands; cod, common oviduct; fd-I, female duct type I; fd-II, female duct type II; ga, common genital atrium; gd, genital duct; gp, gonopore; ov, ovary; ovd, oviduct; p, proboscis; pg, prostatic glands; ph, pharynx; pv, prostatic vesicle; rs, receptaculum seminis; st, stylet; te, testis; u, uterus; vi, vitellaria; vs, vesicula seminalis; vd, vitelloduct.

Figure 4 in Origins, composition and distribution of the bees of Cuba (Hymenoptera: Apoidea: Anthophila)

Figure 4. Dendrogram reflecting the clustering between bee species and biogeographic areas of the Cuban archipelago. Additional detail maps show areas according the groups and subgroups formed.

Figure 3 in Origins, composition and distribution of the bees of Cuba (Hymenoptera: Apoidea: Anthophila)

Figure 3. Areas of endemism of Cuban bees. The numbers of endemic species are indicated inside the area.

Figure 1 in Origins, composition and distribution of the bees of Cuba (Hymenoptera: Apoidea: Anthophila)

Figure 1. Geographic areas adopted for analysis of bee distribution on the Cuban archipelago. Adapted from Acevedo (1989). Areas: 1. Southern Plain of Pinar del Río. 2. Northern Plain of Pinar del Río. 3. Guaniguanico Mountains Range. 4. Archipelago of Los Colorados. 5. Northern Hills of Habana-Matanzas. 6. Ariguanabo-San Juan Plain. 7. Habana-Matanzas Central Hills. 8. Southern and Eastern Plains of Habana-Matanzas. 9. Zapata Plains. 10. Archipelago of Los Canarreos. 11. Corralillo-Yaguajay Plain. 12. Cubanacán Hills. 13. Cubanacán. 14. Massif of Guamuaya. 15. Outlying Plains of Camagüey-Maniabón. 16. Central Pains and Hills of Camagüey. 17. Maniabón. 18. Archipelago of Sabana. 19. Archipelago of Camaguey. 20. Archipelago of Jardines de La Reina. 21. Eastern Hills of Cauto-Guacanayabo. 22. Nipe Plain-Baguanos Hills-Sagua de Tánamo Plain. 23. Central Valley. 24. Sierra Maestra. 25. Santiago de Cuba. 26. Northeastern Mountains of Nipe-Cristal-Sagua-Baracoa. 27. Maisi-Guantánamo Coast.

Figure 2 in Origins, composition and distribution of the bees of Cuba (Hymenoptera: Apoidea: Anthophila)

Figure 2. Paleogeographic reconstruction of the Caribbean region for the late Eocene-Early Oligocene (35-33 mya) (after Iturralde-Vinent 2005). The period of most concentrated dispersal of bees from continents to the Proto- Antilles likely took place at this juncture, with its proximity or connections with older landmasses and their populations of bees.

opencc-by-4.0Mar 2000View details →

Fig. 29 in Taxonomic Composition And Systematics Of Late Cretaceous Lizard Assemblages From Ukhaa Tolgod And Adjacent Localities, Mongolian Gobi Desert

Fig. 29. Globaura venusta: A–C, IGM 3/164, nearly complete skull with mandibles from Khulsan, dorsal, ventral, and right lateral views; D–F, IGM 3/160, nearly complete skull with mandibles from Ukhaa Tolgod, dorsal, ventral, and left lateral views.

opencc-by-4.0Mar 2000View details →

Fig. 25 in Taxonomic Composition And Systematics Of Late Cretaceous Lizard Assemblages From Ukhaa Tolgod And Adjacent Localities, Mongolian Gobi Desert

Fig. 25. Skull of Parmeosaurus scutatus, new genus and species: A–C, IGM 3/139, incomplete skull with mandibles, dorsal, ventral, and right lateral views; D–F, IGM 3/140, incomplete skull with mandibles, dorsal, ventral, and left lateral views.